Souvenir Volume-9 Issue-2S2 December 2019 PDF
Souvenir Volume-9 Issue-2S2 December 2019 PDF
Souvenir Volume-9 Issue-2S2 December 2019 PDF
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Exploring Innovation
Editor-In-Chief Chair
Dr. Shiv Kumar
Ph.D. (CSE), M.Tech. (IT, Honors), B.Tech. (IT), Senior Member of IEEE
Blue Eyes Intelligence Engineering & Sciences Publication, Bhopal (M.P.), India.
Scientific Editors
Prof. (Dr.) Hamid Saremi
Vice Chancellor of Islamic Azad University of Iran, Quchan Branch, Quchan-Iran
Dr.Ch.V. Raghavendran
Professor, Department of Computer Science & Engineering, Ideal College of Arts and Sciences Kakinada (Andhra Pradesh), India.
Manager Chair
Mr. Jitendra Kumar Sen
Blue Eyes Intelligence Engineering & Sciences Publication, Bhopal (M.P.), India
Editorial Chair
Dr. Arun Murlidhar Ingle
Director, Padmashree Dr. Vithalrao Vikhe Patil Foundation’s Institute of Business Management and Rural Development, Ahmednagar
(Maharashtra) India.
Editorial Members
Dr. Wameedh Riyadh Abdul-Adheem
Academic Lecturer, Almamoon University College/Engineering of Electrical Power Techniques, Baghdad, Iraq
Dr. T. Sheela
Associate Professor, Department of Electronics and Communication Engineering, Vinayaka Mission’s Kirupananda Variyar
Engineering College, Periyaseeragapadi (Tamil Nadu), India
Dr. Shivanna S.
Associate Professor, Department of Civil Engineering, Sir M.Visvesvaraya Institute of Technology, Bengaluru (Karnataka), India
Dr. S. Murugan
Professor, Department of Computer Science and Engineering, Alagappa University, Karaikudi (Tamil Nadu), India
Dr. P. Malyadri
Professor, ICSSR Senior Fellow Centre for Economic and Social Studies (CESS) Begumpet, Hyderabad (Telangana), India
Dr. K. Prabha
Assistant Professor, Department of English, Kongu Arts and Science College, Coimbatore (Tamil Nadu), India
Dr. Balachander K
Assistant Professor, Department of Electrical and Electronics Engineering, Karpagam Academy of Higher Education, Pollachi
(Coimbatore), India
Dr. T. Velumani
Assistant Professor, Department of Computer Science, Kongu Arts and Science College, Erode (Tamilnadu), India
Dr. Subramanya.G.Bhagwath
Professor and Coordinator, Department of Computer Science & Engineering, Anjuman Institute of Technology & Management
Bhatkal (Karnataka), India
Dr. K. Kannan
Professor & Head, Department of IT, Adhiparasakthi College of Engineering, Kalavai, Vellore, (Tamilnadu), India
Volume-9 Issue-2S2, December 2019, ISSN: 2278-3075 (Online)
S. No Published By: Blue Eyes Intelligence Engineering & Sciences Publication Page No.
Paper Title: Strength Development of Pervious Concrete with various Aggregate/Cement Ratio
Abstract: This paper evaluates the effect of aggregate/cement ratio on the strength development of pervious
concrete. To evaluate this study, mixture proportions have been prepared by varying the aggregate/cement ratio
and studying its compressive strength development. Four different aggregate cement ratios were chosen and its
strength development at 7 days and 28 days is studied. It has been observed that lesser the aggregate/cement
ratio greater the strength and vice versa.
Paper Title: Estimation of Minor Loss Coefficient Associated with Fitting of Venturimeter in a Pipe System
Abstract: Quantification of minor losses associated with a pipe fitting and regular updating is necessary for
ensuring the sustainability of the system. In this study, based on simple lab based experiments, the minor loss
coefficient associated with a venturimeter fitted in a pipe system is estimated. It is seen that the loss coefficient
varies inversely with the increase in the Reynold’s number and can be depicted with a simple mathematical
2. equation.
Paper Title: Suitability of Macrophytes for Wastewater Treatment and Biogas Generation
Abstract: In this paper three sustainable approaches are made in waste management option. Firstly primary
5. treated domestic sewage is treated by aquatic macrophytes using duckweed, water hyacinth and water lettuce.
Biochemical Oxygen Demand (BOD), Chemical Oxygen Demand (COD), Total Suspended Solids (TSS), Total
Dissolved Solids (TDS), Phosphate, Nitrates are tested before and after. Result indicates in terms of water 16-18
quality, almost all three plants shows same removal efficiencies. BOD and TSS removal efficiency is attained
more than 95%. COD and TDS removal is reached upto 50% for almost all plants. Secondly the used aquatic
macrophytes for wastewater treatment is again used for generation of biogas (water lettuce unit, duckweed unit,
water lettuce unit). In addition to three aquatic macrophytes, sludge is collected from aquatic macrophyte unit
for generation of biogas. Comparison is made with conventional cow dung biogas unit. Result indicates water
lettuce and duckweed produce biogas at earlier stage itself and water hyacinth takes some time for starting of
biogas production. This may be due to the structure and texture causes some time for decomposition. Sludge
gives maximum biogas generation among all experimental setup. Also in this study cow dung did not give
biogas more may be due to poor blend ratio of cow dung with water is one of the reason.
Paper Title: A Compact Equipment for Removing Dissolved Iron from Drinking Water
Abstract: Iron is an essential mineral for health, but more than desired content in water may become
objectionable as it will give a rusty colour on laundered clothes and affect the taste and may cause odour. A new
effective and economic product was developed for removing iron from waterworks on the principle of cascading
aeration. It requires only less space, zero maintenance, it is energy efficient and it can be used for water with a
range of iron content.
Keyword: Lateral forces, Lightweight concrete (LWC), Pumice aggregate, Steel fibres.
References:
1. ASTM C494 Type F “Standard specification for chemical admixtures for concrete”.
2. Hasan Oktay, RecepYumrutas and Abdullah Akpolat (2015), ‘Mechanical and thermophysical properties of lightweight aggregate
concretes’, Construction and Building Materials, Vol. 96, pp. 217-225.
3. R. Kalpana R, Kothai (2015), “Study on Properties of Fibre Reinforced Light Weight Aggregate Concrete”, International Journal
for Scientific Research & Development, Vol. 3, pp. 1876-1879.
4. IS: 12269 (1987), “Indian standards-specification for 53 grade ordinary Portland cement”.
5. IS: 383 (1970), “Indian standards-specification for coarse and fine aggregates from natural sources for concrete”.
6. IS: 9103 (1999), “Indian standards-specification for concrete admixtures”.
7. IS: 10262 (2009), “Guidelines for Concrete Mix Proportioning”.
8. IS 456 (2000), “Code of Practice for Plain and Reinforced Concrete”.
9. Lila Abdel-Hafez, Abouelezz and FasealElzefeary (2015), ‘Behaviour of masonry strengthened infilled reinforced concrete
frames under in-plane load, Housing and Building National Reasearch Journal, Vol. 11, pp. 213-223.
10. SemsiYazici, GozdeInan and VolkanTabak (2007), ‘Effect of aspect ratio and volume fraction of steel fibre on the mechanical
properties of SFRC’, Construction and Building Materials, Vol. 21, pp. 1250-1253.
Paper Title: Effect of steel fibers over the Self Compacting Concrete
Abstract: The introduction of self-compacting concrete in the construction industry overcomes the flaws
caused due to the improper compaction of concrete. Fibers are proved to increase the properties of conventional
concrete. This research focuses on the performance of self-compacting concrete after augmenting steel fibers.
The steel fibers are added in proportions such as 0.25 percentage, 0.5 percentage, 0.75 percentage and 1
percentage. After casting the self- compacting concrete, the strength was assessed for 7 days and 28 days and its
compressive strength and split tensile strength was analyzed. The inclusion of steel fibers yielded good outcome
in the tests and it is proved to yield better engineering properties.
Keyword: The steel fibers are added in proportions such as 0.25 percentage,
References:
1. Rafat Siddique, Gurwinder Kaur, Kunal, Strength and permeation properties of self-compacting concrete containing fly
ash and hooked steel fibres , Construction and Building Materials 103 (2016)15–22.
2. Pratyush Kumar, Rahul Roy Pratyuh Kumar,Rahul Roy, Study and experimental investigation of flow and flexural
11. properties of natural fiber reinforced self compacting concrete, International Conference on Smart Computing and
Communications, (2017)7-8.
3. As’Ad, S., Gunawan, P., &Alaydrus, M. S., Fresh State Behavior of Self Compacting ConcreteContaining Waste
38-41
Material Fibres. Procedia Engineering, procedia engineering 14 (2011) 797-804.
4. Clifford A.O. Okeh, David W. Begg, Stephanie J. Barnett, Nikos Nanos, Behaviour of hybrid steel fibre reinforced self
compacting concrete using innovative hooked-end steel fibres under tensile stress, Construction and Building Materials
202 (2019)753–761.
5. Cristina Frazao, Aires Camoes, Joaquim Barros, Delfina Goncalves, Durability of steel fiberreinforced self- compacting
concrete, Construction and Building Materials 80 (2015)155–166.
6. Mohammad Ghasemi, Mohammad Reza Ghasemi, Seyed Roohollah Mousavi, Studying thefracture
7. parameters and size effect of steel fiber-reinforced self-compacting concrete, construction and building materials 201
(2019) 447- 460.
8. Oldrich Svec, Giedrius Zirgulis, John E. Bolander, Henrik Stang, Influence of formworksurface on the
9. orientation of steel fibres within self-compacting concrete and on the mechanical properties of cast structural elements,
Cement & Concrete Composites 50 (2014) 60–72.
10. Sai Nitesh K.J.N, S. Venkateswara Rao, P. Rathish, An experimental investigation on torsional behaviorof
11. recycled aggregate based steel fiber reinforced self compacting concrete, journal of building engineering (2018).
12. Salem G. Nehmea, Roland Laszlob, Abdulkader El Mirc, Mechnical performance of steel fibrereinforced
13. self-compacting concrete in panels, Creative Construction Conference (2017) 19 -22.
14. A.ChithambarGanesh,M.Muthukannan,M.Rajeswaran,T.Umashankar,MariSelvam,Comparitivestudy on the behavior of
Geopolymer concrete using Msand and conventional concrete exposed to elevated temperature, International Journal of
Civil Enfineering and Technology, 9(11) (2018) pp -981-989.
Paper Title: Effect of Silica fume on Ordinary Portland Cement and Polymer Concrete Made out of M Sand
Abstract: In this investigation, conventional concrete was made with replacing the sand by 80 % of M-sand
and the cement by fillet material silica fume in varying percentages say 5%, 10 % , and 15%, to study the
compressive strength, split tensile strength and flexural strength. In order to the maximum strength was attained
12. at 10% of silica fume. The result showed that by increasing the silica fume content, the strength of the M-sand
concrete was decreased because higher fineness of silica fume content decreases the strength of the M-sand
concrete. Secondly polymer concrete with unsaturated polyester resin with hardener MEKP, Cobalt as the 42-46
accelerator and silica fume in varying percentages say 0%, 5% and 10% was made to study the compressive
strength and split tensile strength of polymer concrete. In improved silica fume content the strength was high.
Polymer concrete improved the mechanical properties. Polymer concrete system was mainly useful to fill the
micro voids. In this research, the maximum strength was attained at 5% of silica fume filler added with polymer
concrete. Thus the high strength of the concrete was obtained due to the pozzolanic reaction with the silica fume.
for Research in Applied Science & Engineering Technology (IJRASET), Volume 5 Issue IV, April 2017 ISSN: 2321-9653.
2. C.Santos, F.Taveira-Pinto, C.Y.Cheng and D.Leite, “Development of an experimental system for greywater reuse”, Desalination
3. Fangyue Li, Knut Wichmann and Ralf Otterpohl, “Review of the technological approaches for greywater treatment and reuses”,
4. Shaikha Binte Abedin and Zubayed Bin Rakib, “Generation and Quality Analysis of Greywater at Dhaka City”, Environmental
Research, Engineering and Management, 2013. No. 2(64), P. 29-41 ISSN 2029-2139.
5. Nirmala.M.D., Muthukumar.K. and Ravikumar.G, “Review Of Greywater treatment methods”, International Conference on
6. Charles B. Niwangaba, Patrick Dinno, Issac Wamala, S.Sahar Dalahmeh, Cecilia Lalander and Hakan Jonsson, “Experiences on
the implementation of a pilot grey water treatment and reuse based system at a household in the slum of Kyebando -Kisalosalo,
7. Chidozie C Nnaji, Cordelia N mama, Arinze Ekwueme and Terlumun Utsev, “Feasibility of a Filtration-Adsorption Grey Water
Treatment System for developing Countries”, Hydrology Current Research 2013, ISSN 2157-7587.
8. Shobha Kundu, Isha P. Khedikar, Aruna M. Sudame, “Laboratory Scale Study for Reuse of Greywater”, Journal of Mechanical
and Civil Engineering (IOSR-JMCE), Volume 12, Issue 3 Ver.1 (May – June 2015) PP 40-47.
9. Adi Maimon, Eran Friedler and Amit Gross, “Parameters affecting greywater quality and its safety for reuse”, Science of the
10. Parameshwara Murthy.P.M., B.M.Sadasiva Murthy and Kavya.S, “Greywater Treatment & Reuse: A Technological review”,
Global Journal for Research Analysis Volume-5, Issue-3, March-2016. ISSN No 2277-8160.
11. Karnapa Ajit, “A Review on Greywater Treatment and Reuse”, International Research Journal of Engineering and Technology
12. R.Saranya, S.Shanmugapriya and R.Subashini, “Experimental Study on Treatment Of Sullage Waste Water Using Coagulants”,
13. A.Y.Katukiza, M.Ronteltap, C.B.Niwagaba, F.Kansiime and P.N.L.Lens, “Greywater treatment in Urban slums by a Filtration
system: Optimisation of the filtration medium”, Journal of Environmental Management 146 (2014) 131-141.
14. . Mariah Siebert Zipf, Ivone Gohr Pinheiro and Mariana Gracia Cnegero, “Simplified greywater treatment systems: Slow filters
of sand and slate waste followed by granular activated carbon”, Journal of Environmental management 176 (2016) 119-127.
15. Shaikh, Sk Sameer and Sk Younus, “Greywater Reuse: A Sustainable Solution of Water Crisis in Pusad city in Maharastra,
India”, International Journal on Recent and Innovation Trends in Computing and Communication (Feb. 2015) Volume: 3 Issue: 2
ISSN: 2321-8169.
16. Zeev Ronen, Adriana Guerrero and Amit Gross, “Greywater disinfection with the environmentally friendly Hydrogen Peroxide
17. J.S.Lambe and R.S. Chougule, “Greywater – Treatment and Reuse”, Journal of Mechanical and Civil Engineering (IOSR-JMCE)
18. Marc Pidou, lisa Avery, Tom sephenson, Paul Jeffrey, Simon A. Parsons, Shuming Liu, Fayyaz A. Memon and Bruce Jefferson,
19. E.Eriksson and E.Donner, “Metals in Greywater: Sources, presence and removal efficiencies”, Desalination 248 (2009) 271-278.
20. Lina Abu Ghunmi, Grietje Zeeman, Manar Fayyad and Jules B. Van Lier, “Greywater Treatment Systems: A Review”
21. Dr.Marc Pidou, Dr.Fayyaz Ali Memon, Prof. Tom Stephenson, Dr.Bruce Jefferson and Dr.Paul Jeffrey, “Greywater recycling: A
review of treatment options and applications”, Institution of Civil Engineers, Engineering Sustainability, Vol.160.
22. Sunil J. Kulkarni, Pallavi M. Kherde, “Research on Advanced Biological Effluent Treatment: A Review”, International Journal of
23. Prasant Tayde, Chaitanya Shastri, Bhoomi Shah, Nitesh Asabe, Dr. Hansa Jeswani, “Use of Sullage for Non-Potable Purpose”,
2015 International Conference on Technologies for Sustainable Development (ICTSD-2015), Feb. 04-06, 2015.
24. Joseph B. Skudi, Ruth Wanjau, Jane Murungi and C.O.Onindo, “Alum Treated Greywater for Toilet Flushing, Mopping and
25. Mr.Amol Ashok Inamdar, “Sullage Water Treatment Technique”, International Journal of Innovative studies in Sciences and
26. Long D.Nghiem, Nadine Oschmann, Andrea I.Schafer, “Fouling in greywater recycling by direct ultrafiltration”, Desalination
27. J.G.March and M.Gual, “Studies on Chlorintion of Greywater”, Desalination 249 (2009)317-322.
28. GideonP.Winward, Lisa M.Avery, Tom Stephenson and Bruse Jefferson, “Chlorine disinfection of greywater for reuse: Effect of
29. Sandhya Pushkar singh and Nusrat Ali, “Treatment of domestic wastewater by Rapid Sand Filter for Reuse in Irrigation
Purpose”, International Journal for Scientific Research & Development Vol. 4, Issue 04, 2016 ISSN: 2321-0613.
30. J.de Koning, D.Bixio, A.karabelas, M.Salgot and A.Schafer, “Characterization and assessment of water treatment technologies
31. S.N.Ugwu, A.F.Umuokoro, E.A.Echiegu, B.O.Ugwuishiwu and C.C.Enweremadu, “Comparative Study of use of natural and
33. P.Santhosh, D.Revanth and K.Saravanan, “Treatment of Sullage Wastewater by electro Coagulation using Stainless Steel
Electrons”,
34. J.K.Braga and M.B.A.Varesche, “Commercial Laundry Water Characterization”, American Journal of Analytical Chemistry,
2014,5, 8-16
35. Golda A.Edwin, Poyyamoli Gopalswamy and Nandhivarmam muthu, “Characterization of domestic greywater from point source
to determine the potential for urban residential reuse”, Appl Water Sci (2014), 4:39-49.
36. Dilip M. Ghatidak, Kunwar D, Yadav “Characteristics and treatment of greywater –a review”
37. Anudeep nema, Kunwar D.Yadav and Robin A.Christian, “Effect Of Retention Time On Primary Media For Grey Water
Treatment”
38. Bessy John and Bindhu.G, “Greywater treatment by Drawer Compacted Sand Filter with Silver coated Sand”, International
Journal of Science, Technology and Engineering, Volume 3, Issue 10, April 2017.
39. A.M. Kharwadea and Isha. P. Khedikar, “Laboratory Scale Studies On Domestic Grey Water Through Vermifilter and non-
40. Dr.H.Karibasappa, A.Akila, N.Dhanabal, R.Dharani, K.Dhinesh, “An Experimental Investigation on Recycling of Grey Water
Naturally by Using Canna Plants”, International Journal of Innovative Research in Science, Engineering and Technology, Vol 6,
Issue 3, March2017.
41. Anjali P Sasidharan1 and Meera V, “Performance evaluation of treatment of greywater by down-flow hanging sponge bio-tower
using aerated aerobic sludge and microalgae chlorella”, International Journal of Engineering Research and Science &
42. Oumar Sall ,Yukio Takahashi “Physical , chemical and biological characteristics of stored greywater from unsewered suburban
43. Sunil.J. Kulkarni , Ajaygiri K. Goswami “Application and advancement in treatment of wastewater by membrane’’ ISSN: 2277-
9655
44. Andreas N. Angelkis , shane A. Snyder , “Wastewater treatment and reuse : past, present and future” ISSN: 2073-4441.
Paper Title: Strength Attainment of Geopolymer Concrete with GGBS at Ambient Curing
Abstract: Geopolymer concrete plays a major role in concrete industry by replacing cement and using the
industrial wastes. In this study, the cement is completely replaced by GGBS and strength properties are
analyzed. An M30 mix design is prepared and the specimens are cast and tested. For this, sodium hydroxide and
sodium silicate are used as activator and its ratio is fixed as 1:2.5. Sodium hydroxide of 12 molarity, 550kg/m3
of GGBS is used in the study. Admixture La Hypercrete S25 (HTS code 38244090) is added in the mix by 1%
of weight of GGBS to obtain the required workability. For compression study, cubes in 100 mm size are cast.
Cylinders with 100mm dia and 200mm height are tested for splitting tensile strength and beam specimens of
500mm long and 100mm cross sections were cast for determining the flexure behaviour. The beams are
subjected to ambient curing and tested at 3, 7, 14, 28 and 56 days. The test result shows that there is a gradual
increment in all the strengths from 3 to 56 days and it proves that geopolymer concrete with GGBS cured at
ambient temperature performs well in the strength properties.
14.
Keyword: activator, admixture, ambient curing, Geopolymer concrete, GGBS
56-59
References:
1. M.C.G. Juenger, F. Winnfield, J.L. Provis and J.H. Ideker,“Advances in alternative cementitious binders,” Cement and Concrete
2. Hardjito, Djwantoro and B. Vijaya Rangan, “On the development of fly ash based geopolymer concrete”, ACI Materials Journal,
8. Indian Standard Code of practice for specification for coarse and fine
aggregates from natural sources for concrete, IS: 383 – 1970, Bureau of
10. Indian Standard Code for recommended guidelines for concrete mix
Keyword: Blast Resistant Structure, Blast Loading, Field Blast Test, Fibre Reinforced Concrete.
References:
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structural engineering, (2013).
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Performance of Constructed Facilities, 26 (2011) 600-619.
15. 3. A.M. Coughlin, E.S. Musselman, A.J. Schokker, D.G. Linzell, Behaviour of portable fibre reinforced concrete vehicle barriers subject
to blasts from contact charges, Int. J. Impact Eng 37 (5) (2010) 521–529.
4. A.Maazouna, J.Vantomme, S.Matthys , Damage assessment of hollow core reinforced and prestressed concrete slabs subjected to b last 60-65
loading, Procedia Engineering 199 (2017) 2476–2481.
5. A.Masood, M. Arif, S. Akhtar, M. Haquie, Performance of ferrocement panels in different environments, Cement and Concrete
Research 33 (2003) 555–562.
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Response of High Strength Concrete, International Journal of Impact Engineering (2015.)
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concrete slabs, Eng. Struct. 31 (2009) 2060–2069.
8. C.P. Pantelides, T.T. Garfield, W.D. Richins, T.K. Larson, J.E. Blakeley, Reinforced concrete and fibre reinforced concrete panels
subjected to blast detonations and post-blast static tests, Engineering Structures 76 (2014) 24–33.
9. D. Aoude Hassan, Frederic P,Burrell, Russell P,Saatcioglu, Murat, Behaviour of ultra-high performance fibre reinforced concrete
columns under blast loading, International Journal of Impact Engineering, 80 (2015) 185-202.
10. Echevarria, A.E. Zaghi, V. Chiarito, R. Christenson, S. Woodson, Experimental comparison of the performance and residual capacity
of CFFT and RC bridge columns subjected to blasts, Journal of Bridge Engineering, 21 (2015).
11. Foglar M, Kovar M. Conclusions from experimental testing of blast resistance of FRC and RC bridge decks. Int J Impact Eng 2013;
18–28.
12. G. Thiagarajan, A.V. Kadambi, S. Robert, C.F. Johnson, Experimental and finite element analysis of doubly reinforced concrete slabs
subjected to blast loads, Int. J. Impact Eng 75 (2015) 162–173.
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Composites Part A: Applied Science and Manufactures. 42 (11) (2011) 1651-1662.
14. Hao H, Stewart M, Li Z-X, et al. (2010a), RC column failure probabilities to blast loads, International Journal of Protective Structures
1(4): 571–591.
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Reinforced Concrete Masonry Walls Subjected to Blast, Journal of Structural Engineering, ASCE (2005)
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close-in explosive loads, International Journal of Impact Engineering(2018).
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blast loads, Materials & Design 82 (2015) 64–76
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wall subjected to blast loading, Journal of Loss Prevention in the Process Industries (2017)
44. Y.S. Tai, T.L. Chu, H.T. Hu, J.Y. Wuc, Dynamic response of a reinforced concrete slab subjected to air blast load, Theoretica l and
Applied Fracture Mechanics 56 (2011) 140–147
45. Yan Liu, Jun-bo Yan, Feng-lei Huang, Behaviour of reinforced concrete beams and columns subjected to blast loading, Defence
Technology (2018)
46. Yufeng Shi, Mark G. Stewart, Damage and Risk Assessment for Reinforced Concrete Wall Panels Subjected to Explosive Blast
Loading, International Journal of Impact Engineering (2015).
47. Accident Statistical yearbook of India by Govt of Indiahttp://mospi.nic.in/statistical-year-book-india/2017/207
48. Fire accidents in India so far http://www.beyondcarlton.org/7-worst-fire-accidents-india-2018/
49. Fire Accidents Strategies https://factly.in/fire-accidents-caused-an-average-of-62-deaths-per-day-in-the-last-5-years/
50. India risk Survey Report 2017 by FICCI http://ficci.in/Sedocument/20416/India-Risk-Survey-2017-Report.pdf
Paper Title: Treatment of Textile Waste Water using Different Local Absorbents
Abstract: The waste water resulting from textile industries is a major environmental pollutant, and it can
also contaminate soil, when deposited on the ground. There are various commercially available adsorbents for
treatment of waste water, however, cheaper alternatives are being proposed in this study. Waste water, highly
alkaline and high in suspended solids and colour, was used for the investigation. Different proportions of local
materials, sugarcane bagasse, saw dust, maize, and lime stone, were utilized in the process, thus, with a view to
ascertain their efficiency to modify the water properties: colour, turbidity, sulfate, chromium, iron, Chemical
Oxygen Demand, and Biochemical Oxygen Demand. While a dosage of 1-5 ml per 250 ml of sample was added
for the adsorption process, activated carbon was replaced with each natural adsorbents by 0-100% replacement
at 20% intervals and added to the sample water. The optimum adsorbent dosage was obtained by making many
trials with different dosages and different pH. The adsorption process was done by using adsorption column. The
results showed that the alternative materials studied, could be used effectively for treatment of textile industrial
waste water, with performance similar to the conventional adsorbents.
17. Keyword: waste water, adsorbent, activated carbon, textile dye, eco-friendly.
References:
1. C., Mouline P., Maissey M. and Charbit F. (2006), ‘Treatment and reuse of reactive dyeing effluents’, Journal of Membrane Science, 71-77
Vol. 269, pp. 15-34.
2. Asamudo N.U., Daba A.S. and Ezeronyel O.U. (2005), ‘Bioremediation of textile effluent using Phanerocha etechrysosporium’,
African Journal of Biotechnology, Vol. 4, pp. 1548-1553.
3. Bhattacharyya K.G. and Sharma A. (2005), ‘Kinetics and thermodynamics of methylene blue adsorption on Neem (Azadirachta indic a)
leaf powder’, Dyes and Pigments, Vol. 65, pp. 51 – 59
4. Chavan R.B. (2001), ‘Environment-friendly dyeing processing for cotton’, Indian Journal of Fiber and Textile Research, Vol. 4, pp.
239242.
5. Ghanshyam Pandhare, Nikhilesh Trivedi, NitinKanse and Dawande S.D. (2013), ‘Synthesis of Low Cost Adsorbent from Azadirachta
Indica (Neem) Leaf Powder’, International Journal of Advanced Engineering Research and Studies, Vol. 2, No. 2, pp. 29 -31.
6. Nelliyat Prakash (2007), ‘Industrial Growth and Environmental Degradation: A Case Study of Tirupur Textile Cluster’, Working paper
No.17, Madras School of Economics, Chennai.
7. Robinson T., McMullan G., Marchant R. and Nigam P. (1997), ‘Remediation of dyes in textile effluent: a critical review on current
treatment technologies with a proposed alternative’, Colourage, Vol. 46, pp. 247-255.
8. Sule A.D. and Bardhan M.K. (1999), ‘Objective evaluation of feel and handle appearance and tailor ability of fabrics. Part II : the KES-
FB system of Kawabata’, Colourage, Vol. 46, pp. 23-35.
9. Swaminathan and Jeyaranjan J. (1995), ‘The Knitwear Cluster in Tirupur: an Indian Industrial District in the Making’, Working Paper
No.126, Madras Institute of Development Studies, Chennai.
10. Walker G.M. and Weatherly L.R. (1997), ‘Adsorption of acid dyes onto granular activated carbon in fixed beds’, Journal of Water
Resource, Vol. 31, pp. 2093-2101.
Paper Title: Durability Behaviour of Geopolymer Concrete with Metakaolin and GGBS
Abstract: This study consists of preparation of Geopolymer concrete mix with Ground Granulated Blast
furnace Slag (GGBS) which is followed by the usage of Metakaolin in replacement of GGBS with 5% variation
from 0 to 25%. From previous researches on geopolymer concrete with GGBS, an optimized mix is selected and
18. tested for durability behaviour. A 12 Molarity sodium hydroxide solution along with sodium silicate in the ratio
of 1:2.5 is used as activator in this study. La Hypercrete S25 which belongs to the category of carboxylic is used
as admixture for escalating the workability. Water absorption, Acid resistance, and Rapid Chloride Penetration 78-81
(RCPT) are the durability tests performed on the specimens. The prepared specimens are water cured at room
temperature for the required days in accordance with the codal guidelines and tested for durability. For water
absorption test, concrete cylinders of 50mm dia and 100mm height are prepared. 100 mm size cube specimens
prepared for acid resistance test. The specimens for RCPT include preparation of discs of 100 mm dia and 50
mm height. In all the test specimens, GGBS is replaced by Metakaolin. It is believed from the test results that
geopolymer concrete with Metakaolin and GGBS performs well in durability aspects.
7. Indian Standard Code of practice for specification for coarse and fine
aggregates from natural sources for concrete, IS: 383 – 1970, Bureau of
Indian Standards, New Delhi, India
8. Indian Standard code of practice for specifications for admixtures for
concrete IS:9103-1999, Bureau of Indian Standards, New Delhi, India
Indian Standard Code for recommended guidelines for concrete mix
design IS:10262-2009, Bureau of Indian Standards, New Delhi.
9. Salmabanu Luhar, Urvashi Khandelwal “ A Study on Water Absorption
and Sorptivity of Geopolymer Concrete” SSRG International Journal of
Civil Engineering (SSRG-IJCE),2015 ,pp 1-9
Paper Title: Establishing Relationship of Porosity and Strength of Fibre Reinforced Concrete
Abstract: There are numerous factors that affect the performance of concrete in terms of strength and
durability aspects. Amongst, the pores in the concrete are the one which is playing a foremost role in deciding
strength and durability characteristics. The presences of pores in the concrete are due to inferior quality of
concrete ingredients, lack of w/c ratio, improper compaction, poor workmanship etc. Many past studies reveal
that the presence of fillers materials may reduce the pores on the concrete. But at the same time, the strength and
durability should improve a lot. Under these circumstances, the presence of steel fibres in the concrete will give
a better solution to arrest the pores and furnish desired results in all aspects. This study is made an attempt to
19. establish the relationship between porosity and compressive strength on the various proportions of steel fibres of
M20 and M40 grade concrete.
82-85
Keyword: Steel fibre reinforced concrete; fibre content, Compressive strength; Porosity
References:
1. EI-Dieb A.S and Hooton R.D. (1995). “Water-permeabilitymeasurement of high performance concrete using a high-pressure triaxial
cell”. Journal of Cement and ConcreteResearch, Vol.25, No.6, pp.1199-1208.
2. O. Deo, M. Sumanasooriya, and N. Neithalath, “Permeability reduction in pervious concretes due to clogging: experiments and
modeling,” Journal of Materials in Civil Engineering, vol. 22, no. 7, pp. 741–751, 2010.
3. M. Sonebi and M. T. Bassuoni, “Investigating the effect of mixture design parameters on pervious concrete by statistical mode lling,”
Construction and Building Materials, vol. 38, pp. 147–154, 2013.
4. IS 516-1959 (1959). “Methods of tests for strength of concrete”.Bureau of Indian Standards.
5. IS 3085-1965 (1965). “Method of test for permeability ofcement mortar and concrete”. Bureau of Indian Standards.
6. Khan M.I. and Lynsdale C.J. (2002). “Strength, permeability,and carbonation of high-performance concrete”. Journal ofCement and
Concrete Research, 32 (2002), 123131.
7. Miloud B. (2005). “Permeability and porosity characteristics ofsteel fiber reinforced concrete.” ASIAN JOURNAL OF
CIVILENGINEERING (BUILDING AND HOUSING), Vol. 6, No.4, pp.317-330
8. PL. Meyyappan, K.Kumaran, M.Gopalakrishnan and E. Harikrishnan (2018), “Effect of glass fibers, flyash and quarry ash on Stre ngth
and Durability Aspects of Concrete – An Experimental Study”, IOP Conference Series: Material Science and Engineering,
doi:10.1088/1757-899X/396/1/012001.
9. PL. Meyyappan, K.Kumaran, M.Gopalakrishnan and E. Harikrishnan (2018), “Experimental Investigation on the Effect of Silica fume
and Pumice stone in Developing Light Weight Concrete”, IOP Conference Series: Material Science and Engineering,
doi:10.1088/1757-899X/561/1/012064.
10. PL. Meyyappan, P. Amuthakannan, R. Sutharsan and M. Ahamed Azik Ali (2019), “Utilization of M-Sand & Basalt Fiber in Concrete:
An Experimental Study on Strength and Durability Properties”, IOP Conference Series: Material Science and Engineering,
doi:10.1088/1757-899X/561/1/012035.
Paper Title: Optimum Utilization of Locally Available Waste Materials in Enhancing the Properties of Concrete
Abstract: The current challenges faced by the civil professionals are unbearable high cost of construction
materials, green house effects and disposal of waste materials. All these problems are raised due to the limited
supply of natural materials, more construction demand, and enormous generation of waste materials from
various sources of occupations etc. The superlative solution for all the problems is to utilize the possible
maximum extend of waste materials to the manufacturing of construction materials without compromising its
properties. In regarding that, an attempt is made to study the possible way of utilizing the locally available waste
products such as sugar cane bagasse, wild green grass and rice husk in to the concrete. All these waste products
are dried and burnt into fine ashes. These ashes are added in to the concrete with various proportions such as 0%,
5%, 10%, 15%, 20%, 25% and 30% for examining the strength and durability properties of M20 grade concrete.
The test results reveal that, the waste products can be effectively in to the concrete and the optimum proportion
found to be around 15% to 20%.
20. Keyword: Waste Materials, Sugar cane bagasse, Rice husk ash, Green grass ash, Concrete
References:
1. Bosela, P., Delatte, N., Obrati, R., Patel, A., 2008. Fresh and G=hardened properties of paving concrete with steel slag aggr egates. In: 86-88
Proceedings, 9th International Conference on Concrete Pavements, San Francisco, California, 2008
2. PL. Meyyappan, K.Kumaran, M.Gopalakrishnan and E. Harikrishnan (2018), “Effect of glass fibers, flyash and quarry ash on Stre ngth
and Durability Aspects of Concrete – An Experimental Study”, IOP Conference Series: Material Science and Engineering,
doi:10.1088/1757-899X/396/1/012001.
3. Kaur, M., & Kaur, M. (2012). A Review on Utilization of Coconut Shell as Coarse Aggregates in Mass Concrete. International Jo urnal
of Applied Engineering Research, 7(11), 7–9..
4. Olanipekun, E. a., Olusola, K. O., & Ata, O. (2006). A comparative study of concrete properties using coconut shell and palm kernel
shell as coarse aggregates. Building and Environment, 41(3), 297–301. doi:10.1016/j.buildenv.2005.01.029
5. A. Halicka, P. Ogrodnik, and B. Zegardlo, “Using ceramic sanitary ware waste as concrete aggregate,” Constr. Build.Mater., vol. 48,
no. May, pp. 295–305, 2013.
6. J Ajnavi S., Bioconversion of Cellulosic Agricultural Wastes. Masters Technol Diss Dep Biotechnol Environ Sci Thap arUniv. 2008;
(60601011).
7. PL. Meyyappan, K.Kumaran, M.Gopalakrishnan and E. Harikrishnan (2018), “Experimental Investigation on the Effect of Silica fu me
and Pumice stone in Developing Light Weight Concrete”, IOP Conference Series: Material Science and Engineering,
doi:10.1088/1757-899X/561/1/012064.
8. PL. Meyyappan, P. Amuthakannan, R. Sutharsan and M. Ahamed Azik Ali (2019), “Utilization of M-Sand & Basalt Fiber in Concrete:
An Experimental Study on Strength and Durability Properties”, IOP Conference Series: Material Science and Engineering,
doi:10.1088/1757-899X/561/1/012035.
Paper Title: Effect of Polypropylene fibers over GGBS based Geopolymer concrete under ambient curing
Abstract: Geopolymer is being widely used in the construction industry in the recent years. Ground
Granulated Blast Furnace Slag (GGBS) based geopolymer concrete is the most suited for ambient curing
conditions. It has been perceived that geopolymer concrete is brittle in nature. This brittleness could be reduced
by the augmentation of fibers. The objective of this paper is to study the effect of incorporation of polypropylene
fibers in Geopolymer Concrete. The various proportions of the ingredients of Geopolymer concrete were
calculated from the B.V.Rangan mix design of Geopolymer Concrete. Based on the previous research works
21. conducted by the author, optimum molarity of the sodium hydroxide solution to be used as a part of alkaline
activator solution was taken as 13M. Polypropylene fibers were added to the matrix in the ratios from 0.1% to
0.6%. Cubical, Cylindrical and Prism Specimens were casted and subjected to ambient curing. Compaction 89-92
factor test was performed to measure workability of fresh concrete and tests such as compressive strength test,
split tensile strength test and flexural strength test were performed to assess the mechanical properties of
hardened Fiber Reinforced Geopolymer Concrete. Tests were carried after curing period of 7days & 28 days and
the results were tabulated. Being a low modulus fiber, the fiberposses a good post cracking behaviour and reduce
the brittleness of the Geopolymer Concrete. The incorporation of polypropylene fibers increases the compressive
strength and flexural strength initially and then decreases.
Keyword: Polypropylene fibers, GGBS based Geopolymer Concrete. Geopolymer Concrete, Ambient Curing
References:
1. J. Guru Jawaharand G. Mounika, “Strength properties of fly ash and GGBS based geo polymer concrete”, Asian Journal Of
Civil Engineering (BHRC) Vol. 17, No. 1 (2016) Pages 127-135.
2. SundeepInti, Megha Sharma and Dr.VivekTandon(2016), “Ground Granulated Blast Furnace Slag (GGBS) and Rice Husk
Ash (RHA) Uses in the Production of Geopolymer Concrete”Geo-Chicago 2016 GSP 270 621 University Of Wisconsin-
Milwaukee on 08/22/16. Copyright ASCE.
3. B.V.Rangan, “Modified guidelines for geopolymer concrete mix design using indianstandard”,ASIAN JOURNAL OF
CIVIL ENGINEERING (BUILDING AND HOUSING) VOL. 13, NO. 3 (2012) PAGES 353-364.
4. N.Manojkumar, P.Hanitha(2016), “ Geopolymer Concrete by using fly ash and GGBS as a Replacement of Cement” IOSR
Journal of Mechanical and Civil Engineering (IOSR-JMCE) e-ISSN: 2278-1684,p-ISSN: 2320-334X, Volume 13, Issue 6 Ver.
V (Nov. - Dec. 2016), PP 85-92.
5. WeiboRen, JinyuXu and ErleiBai(2015), “Strength and Ultrasonic Characteristics of Alkali-Activated Fly Ash-Slag
Geopolymer Concrete after Exposure to Elevated Temperatures” DOI: 10.1061/(ASCE)MT.1943-5533.0001406. ©2015
American Society of Civil Engineers.
6. Ahmed Mohmed Ahmed Blash, Dr. T.V. S. Vara Lakshmi(2015), “ Properties of Geopolymer Concrete Produced by Silica
Fume and Ground-Granulated Blast-Furnace Slag” International Journal of Science and Research (IJSR) ISSN (Online): 2319-
7064 Index Copernicus Value (2013): 6.14 | Impact Factor (2015): 6.391 Volume 5 Issue 10, October 2016 www.ijsr.net.
7. Manish Chand Kumain, Seema Rani, “An experimental study of fiber reinforced geo-polymer concrete slab for
continouslyincresing height of impact load”, International Journal of Advanced Technology & Engineering Research
(IJATER) , ISSN No: 2250-3536 Volume 5, Issue 4, July 2015.
8. Yeol Choi and Robert L. Yuan (2005), “An experimental investigation on Hybrid fiber reinforced concrete”, DOI:
10.1054/(ASCE)MT.1943-5533.0000054. © 2011 American Society of Civil Engineers (ASCE).
9. Y. EmiliusSebastina Antony, “Experimental Investigation on Replacement of GGBS for Flyash in Steel fiber reinforced
geopolymer concrete”, International Journal on Applications in Civil and Environmental Engineering Volume 2: Issue
3:March 2016, pp 14-18. www.aetsjournal.com, ISSN (Online) :2395 – 3837.
10. Mark Reed, WeenaLokuge and WarnaKarunasena, “ Fiber reinforced geopolymer concrete with ambient curing for in-situ
applications”, Journal of Materials Science, 49 (12). pp. 4297-4304. ISSN 0022-2461(AUSTRALIA).
11. P. Nath, P. K. Sarker, “Geopolymer concrete for AmbientCuring
12. H. Gokulram, R. Anuradha, “Strength Studies on Polypropylene Fibre Reinforced Geopolymer Concrete using M-Sand”,
International Journal of Emerging Trends in Engineering and Development, Issue 3, Vol.2 (March 2013).
13. NavidRanjbar, SepehrTalebian, et.all, “Mechanisms of interfacial bond in steel and polypropylene
fiberreinforcedgeopolymer composites”,Composites Science and Technology 122 (2016) 7381.
14. Milind V. Mohod, “Performance of Polypropylene Fibre Reinforced Concrete”, IOSR Journal of Mechanical and Civil
Engineering (IOSR-JMCE), e-ISSN: 2278-1684,p-ISSN: 2320-334X, Volume 12, Issue 1 Ver. I (Jan- Feb. 2015), PP 28-36.
15. Muhammad N.S. Hadi, Nabeel A. Farhan, M. Neaz Sheikh, “Design of geopolymer concrete with GGBFS at ambient curing
condition using Taguchi method”
Paper Title: Behaviour of Low cost Tiles and Bricks manufactured using Agricultural Wastes
Abstract: In this study, an attempt has been taken to utilize the wastes produced from agriculture as a partial
replacement to scarce material like fine aggregate in the manufacturing of useful construction materials. Also,
Waste Sludge (WS) generated through treatment plant from Kalasalingam Academy of Research and Education
was used suitably as one of the ingredients in the manufacturing of construction materials. Various other wastes
generated through agriculture such as Banana Fiber (BF), Rice Husk Ash (RHA), and Sugarcane Bagasse Ash
(SBA) was also utilized suitably after pre-treatment in the manufacture of tiles and bricks. Five different mixes
under various levels of replacement of waste sludge and agricultural wastes were prepared to study its behavioral
performance. Various tests conducted to study the performance behavior include Compressive Strength, Water
Absorption and Physical Parametric tests on both brick and tile specimens. Results indicate that all physical and
mechanical properties of bricks and tiles fall within BIS standards by the combination with a higher percentage
22. of Red Soil,Sugarcane fiber and Waste Sludge.
Keyword: Agricultural wastes, Bricks, Fine Aggregate, Pre-treatment, Tiles and Waste Sludge 93-96
References:
1. Pappu Asokan, Saxena Mohini, Asolekar Shyam R, “Solid wastes generation in India and their recycling potential in building
materials” Build Environment, vol. 42, Aug. 2007, pp. 2311–2320.
2. Mangesh V. Madurwar, Rahul V, Ralegaonkar, Sachin A and Mandavgane, “Application of agro-waste for sustainable
construction materials: A review” Construction and Building Materials., vol. 38, April. 2017, pp. 872-878.
3. Joo-Hwa Tay, “Bricks Manufactured from Sludge” Journal of Environmental Engineering, vol. 113, October. 1987, pp. 278-284.
4. Ritu Daheriya and V V Singh, “An experimental investigation of the use of industrial waste and sewage sludge for the production
of bricks” International Journal of Advance Research, Ideas and Innovations in Technology, vol. 4, Dec. 2018, pp. 2562-2569.
5. L. Zhang, “Production of bricks from waste materials – a review” Construction and Building Materials., vol. 47, Feb. 2013, pp.
643–655.
6. More, A. Tarade, A. Anant, “Assessment of suitability of Fly Ash and Rice Husk Ash burnt clay bricks” International Journal of
Scientific Research Publications, vol. 4, Mar. 2014, pp. 1-6.
7. D. Tonnayopas, P. Tekasakul, S. Jaritgnam, “Effects of rice husk ash on characteristics of lightweight clay brick” International
Conference on Technology and Innovation for Sustainable Development, Thailand, 2008.
8. K. Faria, R. Gurgel, J. Holanda, “Recycling of sugarcane bagasse ash waste in the Production of clay bricks” Journal of
Environmental Management, vol. 101, Dec. 2012, pp. 7-12.
9. Saravanan J, Sridhar M, “Construction technology, challenges and possibility of low carbon buildings in India” International
Journal of Civil Engineering, vol. 11, Dec. 2015, pp. 2678-2685.
10. Gunasekaran K, Kumar P S and Lakshmipathy M, “Mechanical and bond properties of coconut shell concrete” Construction and
Building Materials, vol. 25, Sep. 2011, pp. 92-98.
11. Tiza Michael Toryila, Akuto Tersoo, Femi Agbede and Ugama Terry Ukande, “Production of Concrete Roofing tiles using Rice
Husk Ash (RHA) in partial replacement of cement” International Research Journal of Engineering and Technology, vol. 3, Aug.
2016, pp. 2678-2685.
12. Bahurudeen A, Marckson A V, Arun Kishore and Manu Santhanam, “Development of Sugarcane Bagasse Ash based Portland
Pozzolana cement and evaluation of compatibility with superplasticizers” Construction and Building Materials, vol. 68, July.
2014, pp. 465-475.
13. Maurice E. Ephraim, Godwin A. Akeke and Joseph O. Ukpata, “Compressive strength of concrete with rice husk ash as partial
replacement of ordinary Portland cement” Scholarly Journal of Engineering Research, vol. 1, June 2012, pp. 32-36.
14. IS 1077 (1992) – Common Burnt Clay Building Bricks – Specification.
15. IS 2690 (1992) – I – Specifications on burnt clay flat terracingtiles.
Keyword: Drinking water, Physicochemical Characteristics, Pollution, Water Quality Index, Water Quality
indicators, Thamirabarani river.
References:
1. APHA, “Standard Methods for Water and Wastewater Analysis”, 20th ed., American Public Health Association, Washington,
D.C. 1998.
2. A.R.K. Kulandaivel, P. E. Kumar, V. Perumal and P. N. Magudeswaran 2009. “Water Quality Index of River Cauvery At Erode
Region, Tamilnadu, India", Nature Environment and Pollution Technology, Vo1ume 8,No:2, PP.343-346
23. 3. Brown, R.M., McClelland, Dewinger, R.A. and Togen, R.C. 1970. “A Water Quality Index - Do We dare? Water Sewage
Works”, 11: 339-343.
4. Damir Tomas and Mirjana Curlin 2017. “Assessing the surface water status in Pannonian ecoregion by the water quality index 97-105
model”, Ecological Indicators, 79, PP.182-190.
5. G.B.Chaturvedi, B. B. Mishra and D. D. Tewari 2008. “Water Quality Index of Ground waters Near Industrial Areas of
Balrampur, U.P.”, Nature Environment and Pollution Technology, Vo1ume1,No:2, PP.331-335.
6. Gopalaswami, P.M., Kumar, P.E. and Kulandivelu, A.R., 2003. “Study on the quality ofwater in the Bhavani river”, Asian J.
Chem., 15(1): 306-310.
7. Horton, R.K. 1965. “An index number system for rating water quality”. J. Water Poll. Control Fed., 37: 300-305.
8. Jie wang, Houqi Liu and Paul K.S.Lam 2017. “Multivariate statistical evaluation of dissolved trace elements and a water quality
assessment in the middle reaches of Huaihe River Anhui,China”, Science of Total Environment, STOTEN-21801; No of Pages
11,Press Article.
9. Magudeswaran, P.N. and Ramachandran, T. 2007. “Water Quality Index of River Noyyal at Tiruppur, Tamilnadu, India”, Nature
Environment and Pollution Technology, 6(1): 51-54.
10. 10.Magudeswaran, P.N, Kamalakkannan, N. and Ramachandran, T. 2006. “Water Quality Index of Rivers Siruvani, Bhavani and
Noyyal using alternate Water Quality Index”. Poll. Res., 25(3): 519-523.
11. 11.Mausumi Raychaudhuri, S. Raychaudhuri, S. K. Jena, Ashwani Kumar and R. C. Srivastava (2014). “WQI to monitor water
quality for irrigation and potable use”. ICAR Research Bulletin, No.71, 2014: 10-16.
12. 12.Sehnaz Sener and Erhan Sener 2017. “Evaluation of water quality using Water Quality Index method and GIS in Aksu River”,
Science of Total Environment,584-585, PP.131-144
13. 13.Shweta Tyagi, Bhavtosh Sharma, Prashant Singh, Rajendra Dobhal 2013. “Water Quality Assessment in terms of Water
Quality Index”, American Journal of Water resources,2013, Vol.1,No.3,34-38.
14. 14.S.Sowmiya Lakshmi,S.Rajesh and Premkumar R ,2018, “Removal of Organic Pollutants From Textile Dye Wastewater By
Advanced Oxidation Process”, International Journal of Civil Engineering & Technology, (IJCIET),Volume 9,Issue 4,April
2008,:PP 452 – 461.
Paper Title: Performance Evaluation of Phosphorous Removal by Coagulation using Natural Coagulants
Abstract: Phosphorous is one of the major nutrients contributing the increased eutrophication of lakes and
natural waters. The concentration of phosphorus in domestic sewage is generally adequate to support aerobic
24. biological wastewater treatment. Coagulation and flocculation processes can also to remove phosphorous from
industrial wastewater.In this experimental study, an attempt is made to feasibility of natural coagulants like
Cassia Alata, Calotropis Procera, Hyacinth bean, Banana leaves, Carcia Papaya, Acacia mearnsii, Jatropha 106-109
Curcas, Cactus and Tamarind seeds on the decrease of Phosphorous from Industrial wastewater. The batch
coagulation test was done to optimum graph was plotted between the removal efficiency all the chose
coagulated. From the optimum trails, that the rate of phosphorous removal is more for hyacinth bean with a level
of 75, trailed by casuarinas leaves with 74% and Banana leaves with 73%. Tamarind seed demonstrates the least
Phosphorous expulsion from the wastewater with 56%. From the optimum trails, the Hyacinth bean can be
utilized as a successful coagulant for the expulsion of phosphorus from the wastewater. In the optimum trails
coagulation studies were carried out to investigate the factor like optimum dosage, pH, initial concentration of
Phosphorous, Mixing time and the settling time which influences the removal of phosphorous by coagulation
process. From the study, it might be inferred that the maximum percentage removal of phosphorous was
acquired for the coagulant measurement of, pH of 8, the initial phosphorous concentration of, mixing time of and
settling time of 45 minutes. It might be presumed that the Phosphorous removal from the industrial wastewater
of 95% was conceivable when we kept up the optimum condition by the coagulation procedure..
Keyword: Effective Coagulant, Industrial Waste Water, Natural Coagulant, Phosphorous Removal.
References:
1. Abdelaal A.L. (Feb2004) “Using A Natural Coagulant Treating Wastewater”- Journal Of International Water Technology
Conference.
2. Erik R. Coats, David L. Watkin, Cynthia K. Brinkman, Frank J. Loge,(May2011) “Effect Of Anaerobic HRT On Biological
Phosphorus Removal And The Enrichment Of Phosphorus Accumulating Organisms”-Journal Of Water Environment Research.
3. Leader, J.W, Reddyk.R. And Wilkie A.C, (Feb2002) “Optimization Of Low-Cost Phosphorus Removal From Wastewater Using
Co-Treatments With Constructed Wetlands”- Journal Of Florida Water Science& Technology.
4. Magnus Christensson And Jes La Cour Jansen, Kristina Göransson And Helene Möncke ,(April2000) “ Influence Of Calcium
And Ph On The Enhanced Biological Phosphorus Removal In A Sequencing Batch Reactor System Treating Dairy Wastewater” -
Science Thesis Of Lund Institute Of Technology / Lund University, Dept Of Water And Environmental Engineering.
5. 5.Plaza.E, Levlin.E, Hultman.B, (Jul2008) “Phosphorus Removal From Wastewater” - Journal Of Swedan Water Science&
Technology.
6. Renuka A. Binayke, Prof. M.V.Jadhav (Jul2013) “Application Of Natural Coagulants In Water Purification”- International
Journal Of Automation And Control Engineering.
7. 7. Shilpa.B.S, Akanksha, Kavita, Girish.P, (June 2012) “Evaluation Of Cactus And Hyacinth Bean Peels As Natural
Coagulants”- International Journal Of Chemical And Environmental Engineering.
8. S.Rajesh and Premkumar R ,and Jeyadevi Neethipathi 2019, Relative Effectiveness of Methane (Biogas) Production from Dry
Grass Soaked with Vegetable Waste, Poultry Waste and Cow Dung, Oriental Journal of Chemistry, Volume 35,Issue 2,April
2019,PP 732-737.
9. 9 .S.Sowmiya Lakshmi,S.Rajesh and Premkumar R ,2018, Removal of Organic Pollutants From Textile Dye
Wastewater By Advanced Oxidation Process, International Journal of Civil Engineering & Technology, (IJCIET),Volume 9,Issue
4,April 2018,:PP 452 – 461.
10. 10.Sundaram haridoss, 2017.Study on air quality management in adyar river basin: A review, Journal of Industrial Pollution
Control 33(1):PP 730-740.
11. Tom Harner, Ky Sua, Susie Genualdia, and Jessica Karpowicza 2013. Short communication Calibration and application of PUF
disk passive air samplers for tracking polycyclic aromatic compounds (PACs). Atmospheric Environment International Journal,
Science direct Vol.75:PP 123-128.
12. WANG Ya, PAN Mian, YAN Min, PENG Yong-Zhen, WANG Shu-Ying,(Dec2006) “Characteristics Of Anoxic Phosphors
Removal In Sequence Batch Reactor”-Journal Of Environmental Sciences.
Paper Title: Biogas Production from Poultry Wastewater using Anaerobic Digester
Abstract: Experimental work was carried out for the production of Biogas from poultry waste water. The
Poultry waste was collected from farm near Nagercoil at Kanyakumari District. Batch anaerobic digester was
designed for 20L capacity. The experiment was carried out for 36 days to monitor the performance. Various
parameters like pH, TS, COD have checked for every 24hours. The Production of biogas was measured by water
displacement method. The methane content was analyzed by gas chromatography test. Based on the
experimental data, kinetics studies have done for various models like Line Weaver-Burk method, Eadie-Hofstee
method, Hanes-Woolf method. The Eadie-Hofstee Method has provided better prediction than other method.
These results thus indicate that, Eadie-Hofstee Method is best to identify the growth rate, substrate concentration
and Limiting Substrate Concentration of the system. The sludge of the poultry wastewater and digester were
characterized by SEM analysis. The imaging was done to determine the morphological structure of the sludge
and to view the bacterial growth on the surface of the sludge.
Keyword: Concrete, Durability, Mechanical Properties, Normal strength concrete Waste Marble Powder.
References:
1. Ali Ergun (2011), Effects of The Usage of Diatomite and Waste Marble Powder as Partial Replacement of Cement on The
Mechanical Properties of Concrete, Construction and Building Materials, Vol.25(3), pp.806–812.
1. 2.Ali Aliadbo, AbdElmoaty, M. and EsraaAuda, M. (2014), Re -Use of Waste Marble Dust in the Production of Cement and
Concrete, Construction and Building Materials, Vol.50(4), pp.28–41.
2. Dixit S, Nigam S. and Bharosh R.,(2018) Strength and Durability of Concrete Made with Marble Dust, International Journal of
Advance Research, Ideas And Innovations in Technology, Vol. 4, No. 2, pp. 464-470..
3. IS 10262:2009, Concrete Mix Proportioning - Guidelines, Bureau of Indian Standard (BIS), New Delhi, India.
26. 4. IS 516-1959, Method of Test for Strength of Concrete, Bureau of Indian Standard, New Delhi, India.
5. IS 383-1970, Specifications for Coarse and Fine Aggregate from Natural Sources for Concrete, Bureau of Indian Standard, New
Delhi, India.
115-118
6. Jashandeep singh and Bansal, R.S. (2015), Partial Replacement of Cement with Waste Marble Powder with M25 Grade,
International Journal of Technical Research and Applications, Vol.3(2), 2324- 2329
7. 8.KirtiVardhan, ShwetaGoyal, RafatSiddique and Malkit Singh (2015), Mechanical Properties and Micro Structural Analysis of
Cement Mortar Incorporating Marble Powder as Partial Replacement of Cement, Construction and Building Material, Vol.96(5),
pp.615-621.
8. Li L.G., Huang Z.H., Tan Y.P., Kwan A.K.H. and F. Liu,(2018) Use of marble dust as paste replacement for recycling waste and
improving durability and dimensional stability of mortar, Construction and Building Materials, Vol. 166, pp. 423–432.
9. Li L.G, Wang Y.M., Tan Y.P, Kwan A.K.H. and Li L.J.(2018), Adding granite dust as paste replacement to improve durability
and dimensional stability of mortar, Powder Technology, Vol. 333, pp. 269–276.
10. Pathan V. G. and Pathan M. G., Feasibility and Need of use of Waste Marble Powder in Concrete Production., IOSR Journal of
Mechanical and Civil Engineering, pp. 23-26, 2014.
11. RamyaRaju, GeethaJayaraj, K. and Abuzar Aftab Shaikh (2014), Study of Partial Replacemet by Marble Powder, International
Journal of Recent Advances in Engineering & Technology, Vol.4(4)
12. Ranjan Kumar and Shyam Kishor Kumar (2015), Partial Replacement of Cement with Marble Dust Powder, International Journal
of Engineering Research and Applications, Vol.5(8)pp.2248- 2254
13. Rohan, K., RoshanRai, Bhavani Shankar and Akshay, NK. (2014), Influence of Marble Dust as Partial Replacement of Cement in
Normal Curing Concrete, Vol.2 (4) pp. 2278- 2284
14. `
15. 15 Shirule, P.A., AtaurRahman and RakeshGupta, D. (2012), Partial Replacement of Cement with Marble Dust Powder,
International Journal of Advanced Engineering Research and Studies, Vol.1(3), pp.175-177.
16. 16.Singh G. and Madan S. K.,(2018) An Experimental investigation on utilizations of Marble Dust as partial replacement of
Cement in Concrete, New Building Materials & Construction World, Vol. 23, No. 11, pp. 151-160.
17. Valeria Corinaldesi, Giacomo Moriconi and TarunNalik, R. (2010), Characterization of Marble Powder for its Use in Mortar and
Concrete, Construction and Building Materials, Vol.24(6), pp.113–117.
18. 18. Yang Zhong, Zhao Hui, Sun Wei,(2014), “Effect of the Type of Super plasticizers on the Fresh Mechanical and Durability
properties of the High Performance Concrete”, Crossref, Volume 44 issue 1, ISSN 0090-3973.
Authors: M. Deepak, M. Balamurali, P. Vinoth, J. Jeeva Bharathi, K. Kapilaravindh
Paper Title: Modeling of Compressive Strength of Concrete using Gaussian Membership Function
Abstract: This paper presents an application of fuzzy logic to forecast the compressive strength of concrete.
The fuzzy model examines 7 different input parameters that comprises: Cement, Coarse aggregate(CA), Super
plasticizer(SP), Fine Aggregate(FA), Slag, Fly ash, Water(W), and 28 days compressive strength is taken as the
output parameter. By using Gaussian membership function, the fuzzy logic technique is used for developing
models. For assessing the results of FL model with experimental results, root mean square error, mean absolute
error and correlation coefficient are used. The results showed that FL can be a better modeling tool and an
another technique for predicting the concrete’s compressive strength.
Paper Title: Contemporary Methods of Construction for Social Deficit in Housing in India
Abstract: In India the housing shortage is much severe with an estimated shortage of around 18 million
houses, with 99% of this is in the economically weaker sections of society. Social housing is the housing system
28. provided for people with low income by government agencies or non-profit organizations. This research paper is
about the study of the methods of construction that is adopted in social housing system which will help in
improving the social deficit in the housing sector. The study is done with the help of live case studies on housing 126-129
projects in and around Hyderabad which comes under the flagship programme JNNURM for economically
weaker section. The study concluded that the contemporary methods of construction is considered to be
advantageous as the government does not provide enough funds for the housing projects and also the contractors
are not willing to take any risk and pay for any other modern method of construction.
Paper Title: Analysis of Traffic Congestion and Remedial Measures, Coimbatore City
Abstract: During the past few years, there has been high growth of demand for road transportation .The
volume of road traffic has increased continuously over years due to the increase in the vehicle population,
buying power, rented cab services, increasing economy activities and urbanisation. Road accidents and traffic
congestion impose a burden on the society. Reducing the traffic congestion and road accidents are very
important for efficient road transportation. With the increase in population in Coimbatore, the number of
vehicles also increased. An effort has been made to study the traffic volume of Avinashi Road NH47, Trichy
Road, NH81, Sathy Road NH209, Mettupalayam Road NH67 and Other Corporations Road . The vehicle
population in Coimbatore has increased at an alarming rate. In the year 2014-15, around 27100 two wheelers,
4800 cars and 1800 other transport vehicles have been registered. In the year 2015-16, 33000 two wheelers,
6700 cars and 3040 other vehicles have been registered. The increase in the percentage comes to 20%, 40%,
40% respectively during the years 2014-15, 2015-16. Coimbatore has a large number of floating population.
The traffic on its roads has increased so much that it often becomes very difficult to cross a road. During the
peak hours of the day, we find an unending stream of buses, trucks, cars, tempos, scooters, motor-cycles and
cycles are seen in many roads. Most of the drivers of the vehicles do not observe traffic rules. Other than this,
accident data opinion survey was also carried to know the problems faced by the pedestrians. After analyzing all
the data, remedial measures such as widening of road, removal/ relocation of bus stops, implementation of speed
brakers and introduction of manned and unmanned traffic signals are suggested in the study area. An overall
analysis was carried out to determine the effects of introducing the remedial measures. It is found that the traffic
congestion can be reduced if the remedial measures are implemented.
Keyword: Accident study, Traffic volume, Traffic congestion, manned traffic signals, traffic signals
29.
References:
1. Anitha Selvasofia S.D, Nithyaa.R & Prince Arulraj.G 2013, ‘Minimizing the Traffic Congestion Using GIS’ in IJREAT
International Journal of Research in Engineering & Advanced Technology, Volume 1, no. 1, ISSN 2320 – 8791.
130-135
2. Ardeshir Faghri & Khaled Hamad, 2002, ‘Application of GPS in Traffic Management Systems, GPS Solutions volume 5 52.
https//doi.org/10.1007/PL00012899
3. Banik B.K, Chowdhury M.A.I, Hossain E & Mojumdar B 2011, ‘Road Accident & Safety Study’ in Sylhet Region of Bangladesh
in Journal of Engineering Science And Technology vol. 6, No. 4, pp. 493 – 505.
4. Blazquez & Celis 2013, ‘A spatial & temporal analysis of child pedestrian crashes in Santiago, Chile’ Accident Analysis &
Prevention Volume 50, pp. 304-311.
5. Brian L. Smith, M. Asce, Ling Qin & Ramkumar Venkatanarayana.2003. ‘Characterization of Freeway Capacity Reduction
Resulting from Traffic Accidents’, Journal of Transportation Engineering,Volume 362
6. Carola A.BlazquezMarcela S.Celis 2013,’ A spatial & temporal analysis of child pedestrian crashes in Santiago, Chile’, Accident
Analysis & Prevention, Volume 50, pp. 304-311.
7. Daniel Shefer, Piet Rietveld, 1997 Congestion & Safety on Highways Towards an Analytical Model,
https//doi.org/10.1080/0042098975970 vol 34, no. 4. pp. 679-692.
8. David C. Eckley, Kevin M. Curtin,2013 ‘Evaluating the spatiotemporal clustering of traffic incidents’, Computers, Environment
& Urban Systems, Volume 37,pp. 70-81
9. Debasish Chakraborty , Debanjan Sarkar , Shubham Agarwal , Dibyendu Dutta & Jaswant R. Sharma, 2015 ‘Web Based GIS
Application using Open Source Software for Sharing Geospatial Data’, Cloud Publications International Journal of Advanced
Remote Sensing & GIS, Volume 4, no. 1, ISSN 2320 – 0243, pp. 1224-1228.
10. Deelesh Mandloi & Rajiv Gupta, 2003 ‘Evaluation of accident black spots on roads using Geographical Information Systems
(GIS)’ Map India Conferenceat GIS development.net, file///C/Users/sofia%20
samuel/Downloads/Evaluation_of_accident_black_spots_on_roads_using_.pdf
11. Deepthi Jayan.K & B.Ganeshkumar , 2010 ‘Identification of Accident Hot Spots’ in A GIS Based Implementation For Kannur
District, Kerala ‘ In International Journal of Geomatics And Geosciences Volume 1, No 1.
12. Duc Nguyen Huu & Chon Le Trung,2012 ‘Open Source Softwares In Building Webgis of Bus Information System’, International
Symposium on Geoinformatics for Spatial Infrastructure Development in Earth & Allied Sciences.
13. Elke Moons, Tom Brijs, 2009, ‘Spatial Modelling of Risk In Traffic Safety On The Road Network’, Association for European
Transport & contributors,pp. 1-16.
14. Erdogan, S., Yilmaz, I., Baybura, T., Gullu, M. 2008, ‘Geographical Information Systems Aided Traffic Accident Analysis
System Case Study City of Afyonkarahisar’, Accident Analysis & Prevention, vol. 40/1, pp. 174-181.
15. Fatih Keskin, Firdes,Yenilmez, MithatÇolak.Ipek, Yavuzer.H. SebnemDüzgün, 2011 ‘Analysis of traffic incidents in METU
campus’ Procedia - Social & Behavioral Sciences, Volume 19,pp. 61-70.
16. Ganeshkumar & D.Ramesh, 2010, ‘Emergency Response Management & Information System (ERMIS) A GIS based software to
resolve the emergency recovery challenges in Madurai city, Tamil Nadu’ International Journal of Geomatics And Geosciences
Volume 1, No 1.
17. Gary A. Davis (001, ‘Using Bayesian Networks to Identify the Causal Effect of Speeding in Individual Vehicle/Pedestrian
Collisions’ 17th Conference in Uncertainty in Artificial Intelligence, University of Washington, Seattle, Washington, USA, pp .
105-111
18. Geurts.K, & Wets.G, 2003,’Black Spot Analysis Methods Literature Review’ http//www.steunpuntverkeersveiligheid.
be/sites/default/ files/ RA-2003-07.pdf
19. Ghazan Khan; Xiao Qin,& David A. Noyce 2008 ,’ Spatial Analysis of Weather Crash Patterns, Journal of Transportation
Engineering Volume 134 no. 5.
20. Gill.N & Bharath B.D, 2013 ‘Identification of Optimum Path for Tourist Places Using GIS Based Network Analysis A Case
Study of New Delhi’ IJARSGG, vol.1, No.2, PP34-38.
21. Gourav Goel , S.N. Sachdeva 2014 ‘Identification of Accident Prone Locations Using Accident Severity Value on a Selected
Stretch of NH-1’ International Journal of Engineering Research & Applications (IJERA) ISSN 2248-9622,PP31-34
22. Guler Yalcin & Sebnem Duzgun.H, (2015) ‘Spatial analysis of two-wheeled vehicles traffic crashes Osmaniye in Turkey’ KSCE
Journal of Civil Engineering, e Volume 19, no. 7, pp 2225–2232
23. Hamby.B,& Thompson.K. 2006. New toolkit provides practical tools to build better bus stops. ITE Journal 76 (9) PP22 –26.
Paper Title: Synthesis, Characterization and Testing of Al Alloy Based Hybrid Composite Materials
Abstract: The developments in the area of aerospace, advancing activities in aircraft field and automotive
industry emerges the exploit of new materials. In such applications, the role of Metal Matrix Composites
(MMCs) is inevitable. In the proposed article, the fabrication of Al (6351) alloy reinforced with SiC and varying
weight proportion of Boron Carbide (B4C) was done through stir casting process. The characterization of
prepared composite materials is evaluated to ensure the homogeneous distribution of reinforced particulates in
31. Al matrix. The existence of alloying elements and their mapping is done through EDS. Moreover, the
enhancement of physical and mechanical behavior of the fabricated composites is also discussed in detail.
139-142
Keyword: hybrid composite, stir casting, SEM, microstructure, mechanical properties.
References:
1. N. Valibeygloo, R. Azari Khosroshahi and R. Taherzadeh Mousavian, “Microstructural and mechanical properties of Al -4.5wt%
Cu reinforced with alumina nano particles by stir casting method,” International Journal of Minerals, Metallurgy, and Materials,
2013, vol. 20 (10), pp. 978-985.
2. Wang Zhenlong, Geng Xuesong, Chi Guanxin and Wang Yukui, “Surface Integrity associated with SiC/Al particulate composite
by micro-wire electrical discharge machining,” Journal of Materials and Manufacturing Process, 2014, vol. 29, pp. 532-539.
3. K. Kalaiselvan, N. Muruganand and Siva Parameswaran, “Production and characterization of AA6061–B4C stir cast composite,”
Materials and Design, 2011, vo. 2, pp. 4004–4009.
4. Belete Sirahbizu Yigezu, P.K. Jha, and Mahapatra M.M., “The key attributes of synthesizing ceramic particulate reinforced Al-
based matrix composites through stir casting process: A Review,” Materials and Manufacturing Process, 2013, vol. 28 (9), pp.
969-979.
5. A.V. Pozdniakov, V.S. Zolotorevskiy, R. Yu. Barkov, A. Lotfy, A.I. Bazlov, “Microstructure and material characterization of
6063/B4C and 1545K/B4C composites produced by two stir casting techniques for nuclear applications,” Journal of Alloys and
Compounds, 2016, vol. 664, pp. 317-320.
6. [6] K.V. Mahendra and K. Radhakrishna, “Characterization of stir cast Al—Cu—(fly ash + SiC) hybrid metal matrix
composites,” Journal of Composite Materials, 2010, vol. 44 (8), pp. 989-1005.
7. Bijay Kumar Show, Dipak Kumar Mondal, Koushik Biswas and Joydeep Maity, “Development of a novel 6351 Al–
(Al4SiC4+SiC) hybrid composite with enhanced mechanical properties,” Materials Science and Engineering: A, 2013, vol. 579,
pp. 136-149.
8. Ali Mazahery and Mohsen Ostad Shabani, “Mechanical properties of squeeze-cast A356 composites reinforced with B 4C
particulates,” Journal of Materials Engineering and Performance, 2012, vol. 21 (2), pp. 247-252.
9. Arun Premnath, T. Alwarsamy, T. Rajmohan and R. Prabhu, “The influence of alumina on mechanical and tribological
characteristics of graphite particle reinforced hybrid Al-MMC,” Journal of Mechanical Science and Technology, 2014, vol. 28
(11), pp. 4737-4744.
10. Aykut Canakci, Fazli Arslan and Temel Varol, “Physical and mechanical properties of stir-casting processed AA2024/B4Cp
composites”, Science and Engineering of Composite Materials, 21 (4) (2014), 505-515.
11. Saba Khoramkhorshid, Morteza Alizadeh, Amir Hossein Taghvaei, Sergio Scudino, “Microstructure and mechanical properties of
Al-based metal matrix composites reinforced with Al 84Gd6Ni7Co3 glassy particles produced by accumulative roll bonding,
Materials & Design, 90 (2016), 137-144.
12. Sajjadi S.A, Ezatpour H.R, Beygi H, Microstructure and mechanical properties of Al–Al2O3 micro and nano composites
fabricated by stir casting, Materials Science and Engineering: A, 528 (29–30) (2011), 8765-8771.
Paper Title: Thermal Characteristics Analysis on Multi- Heat Pipe Induced Heat Exchanger
Abstract: In this investigation of multi heat pipe induced in heat exchanger shows the developments in heat
transfer is to improve the efficiency of heat exchangers. Water is used as a heat transfer fluid and acetone is used
as a working fluid. Rotameter is set to measure the flow rate of cold water and hot water. To maintain the
parameter as experimental setup. Then set the mass flow rate of hot water as 40 LPH, 60LPH, 80 LPH, 100LPH,
120 LPH and mass flow rate of cold water as 20 LPH, 30 LPH, 40 LPH, 50 LPH, and 60 LPH. Then 40 C, 45
ºC, 50 ºC, 55 C, 60 ºC are the temperatures of hot water at inlet are maintained. To find some various physical
parameters of Qc, hc, Re, , Pr, Rth. The maximum effectiveness of the investigation obtained from condition of
Thi 60 C, Tci 32 C and 100 LPH mhi, 60 LPH mci the maximum effectiveness attained as 57.25 . Then the
mhi as 100 LPH, mci as 60 LPH and Thi at 40 C as 37.6%. It shows the effectiveness get increased about
34.3 to the maximum conditions.
Keyword: Multi Heat pipe, Heat exchanger, Mass flow rates, Temperature of hot water, Heat transfer rate,
Effectiveness.
References:
1. Han Xiaoxing, Wang Yaxiong, “Experimental investigation of thermal performance of a novel concentric tube heat pipe heat
exchanger,” International journal of heat and mass transfer 2018, 127, pp. 1338-1342.
2. R.Wermer, Martin J.Ward,Justin D.Simpson,Robert A.Zimmerman, James A.Stewart,“Ahigh capacityself priming counter
gravity heat pipe,” International journal of heat and mass transfer. 2018, 125, pp. 1369-1378.
32. 3. Saud Ghani,S.Mahmoud, A.Gamaledin, “Experimental Investigation of double pipe heat exchanger in air conditioning
application,” International journal of heat pipe. 2018, 158, pp. 801-811.
4. Shuangfeng Wang, Zirong Lin, Weibao Zhang, Jinjian Chen, “Experimental study on pulsating heat pipe with functional thermal 143-147
fluids,” International journal of heat and mass transfer, 2009, 52, pp. 5276-5279.
5. Guen Jae Lee, Leonard D. Tijing, Bock Choon Pak, “Use of catalytic materials for the mitigation of mineral fouling,”
International communication in heat and mass transfer, 2006, 33, pp. 14-23.
6. Xiahou Guowei, Zhang Junjie, Ma Rui, Liu Yepang, “Novel heat pipe radiator for vertical CPU cooling and its experimental
study,” International journal of heat and mass transfer, 2019, 130, pp. 912-922.
7. Anand Takawale, Alex Sielaff, Peter Stephan, Aravind Pattamatta, “A comparative study of flow regimes and thermal
performance between flat plate pulsating heat pipe and capillary tube pulsating heat pipe,” Applied thermal engineering, 2018,
pp. 11-19.
8. Tong Miin Liou, Shyy Woei Chang, Wei Ling Cai, “Thermal fluid characteristics of pulsating in radially rotating thin pad”,
International journal of heat and mass transfer, 2019, 131, pp. 273-290.
9. V.Kiseev, O.Sazhin, “Heat transfer enhancement in a loop thermosyphon using nanoparticles/ water nanofluids,” International
journal of heat and mass transfer, 2019, 132, pp. 557-564.
10. Abhinav Malhotra, Martin Maldovan, “Thermal transport in semiconductor nanotubes,” International journal of heat and mass
transfer, 2019, 130, pp. 368-374.
11. Ye Bai, Liang Wang, Shuang Zhang, Ningning Xie, “Heat transfer characteristics of natural circulation separate heat pipe unde r
various operating condition,” International journal of heat and mass transfer, 2018,126, pp. 191-200.
12. S.A. Lurie, L.N. Rabiniskiy, Y.O. Solyaev, “Topology optimization of the wick geometry in a flat plate heat pipe,” Internatio nal
journal of heat and mass transfer, 2019, 128, pp. 239-247.
13. Gyoko Nagayama, Takaharu Tsuruta, Shunya Gyotoku, “Thermal performance of flat micro heat pipe with converging
microchannels,” international journal of heat and mass transfer, 2018,122, pp. 375-382.
14. M.A.Chernysheva, Y.F.maydanik, “simulation of heat and mass transfer in a cylindrical evaporator of a loop heat pipe,”
international journal of heat and mass transfer, 2019, 131, pp. 442-449.
15. E.N. Pis mennyi, S.M. Khayrnasov, B.M. Rassamakin, “Heat transfer in evaporation zone of aluminium grooved heat pipes”,
International journal of Heat and Mass Transfer, 2018, 127, pp. 80-88.
Paper Title: Comprehensive report on Materials for Gas Turbine Engine Components
Abstract: In the past three decades, it is very challenging for the researchers to design and development a best
gas turbine engine component. Engine component has to face different operating conditions at different working
environments. Nickel based superalloys are the best material to design turbine components. Inconel 718, Inconel
617, Hastelloy, Monel and Udimet are the common material used for turbine components. Directional
solidification is one of the conventional casting routes followed to develop turbine blades. It is also reported that
the raw materials are heat treated / age hardened to enrich the desired properties of the material implementation.
Accordingly they are highly susceptible to mechanical and thermal stresses while operating. The hot section of
the turbine components will experience repeated thermal stress. The halides in the combination of sulfur,
chlorides and vanadate are deposited as molten salt on the surface of the turbine blade. On prolonged exposure
the surface of the turbine blade starts to peel as an oxide scale. Microscopic images are the supportive results to
compare the surface morphology after complete oxidation / corrosion studies. The spectroscopic results are
useful to identify the elemental analysis over oxides formed. The predominant oxides observed are NiO, Cr2O3,
Fe2O3 and NiCr2O4. These oxides are vulnerable on prolonged exposure and according to PB ratio the
passivation are very less. In recent research, the invention on nickel based superalloys turbine blades produced
through other advanced manufacturing process is also compared. A summary was made through comparing the
conventional material and advanced materials performance of turbine blade material for high temperature
34. performance.
155-158
Keyword: nickel, corrosion, oxide, SEM, EDS, XRD
References:
1. Adam Khan M, Sundarrajan S, Natarajan S, Parameswaran P and Mohandas E “Oxidation & hot corrosion behavior of Nickel
based superalloy for Gas Turbine Applications”. Materials and Manufacturing Processes, (2014), 29, 1 – 8.
2. Adam Khan M, Sundarrajan S and Natarajan S “Cyclic hot corrosion behaviour of Inconel 617 with Na 2SO4 / NaCl / V2O5
molten salt environment at 900° and 1000°C”, High Temperature Materials and Processes (Accepted – 2014) [DOI:
10.1515/htmp-2014-0054, June 2014].
3. Courtesy of United Technologies Corporation, Pratt &Whitney Aircraft (JT8D turbofan engine)
4. Adam Khan M, Sundarrajan S and Natarajan S “Influence of Plasma coatings on Inconel617 for gas turbine applications”,
Surface Engineering, (2014) 30 (9), 656 – 661.
5. Joseph R. Davis Nickel, Cobalt, and Their Alloys, ASM International, Materials Park, Ohio, 2000.
6. George Y. Lai High-Temperature Corrosion and Materials Applications, ASM International, Materials Park, Ohio, USA, 2007.
7. Matthew J. Donachie and Stephen J. Donachie SUPERALLOYS: A Technical Guide, Second Edition, ASTM International,
Materials Park, Ohio, USA, 2002.
8. C. Juillet, A. Oudriss, J. Balmain, X. Feaugas, F.PedrazaCharacterization and oxidation resistance of additive manufactured and
forged IN718 Ni-based superalloys, Corrosion Science (2018), https://doi.org/10.1016/j.corsci.2018.07.032
9. K. Moussaoui, W. Rubio, M. Mousseigne, T. Sultan, F. Rezai, Effects of Selective Laser Melting Additive Manufacturing
Parameters of Inconel 718 on Porosity, Microstructure and Mechanical Properties, Materials Science & Engineering AS0921 -
5093(18)31093-1,2018
10. Chongliang Zhong, Jochen Kittela, Andres Gassera, Johannes Henrich Schleifenbaum, Study of nickel-based super-alloys Inconel
718 and Inconel 625 in highdeposition- rate laser metal deposition, Optics and Laser Technology 109 (2019) 352–360
11. Bonny Onuike, Bryan Heer, Amit Bandyopadhyay, Additive manufacturing of Inconel 718—Copper alloy bimetallic structure
using laser engineered net shaping (LENS™), Additive Manufacturing 21 (2018) 133–140
12. Mario Valdez Christopher Kozuch, Eric J. Faierson, Iwona Jasiuk, Induced porosity in Super Alloy 718 through the laser additive
manufacturing process: Microstructure and mechanical properties, Journal of Alloys and Compounds 725 (2017) 757e764
13. Yen-Ling Kuo, Shota Horikawa, Koji Kakehi , The effect of interdendritic δ phase on the mechanical properties of Alloy 718
built up by additive manufacturing, Materials & Design, doi: 10.1016/j.matdes.2016.12.026.
14. Lin Zhu, Zhoufeng Xu, Yuefeng Gu, Effect of laser power on the microstructure and mechanical properties of heat treated
Inconel 718 superalloy by laser solid forming, Journal of Alloys and Compounds (2018), doi: 10.1016/j.jallcom.2018.02.268.
15. Xing Li, J.J. Shi, C.H.Wang, G.H. Cao, A.M. Russell, Z.J. Zhou, C.P. Li, G.F. Chen, Effect of heat treatment on microstructu re
evolution of Inconel 718 alloy fabricated by selective laser melting, Journal of Alloys and Compounds 764 (2018) 639-649.
16. Y. Tiana, A. Gontcharovb, R. Gauvina, P. Lowdenb and M. Brochua, Effect of heat treatments on microstructure evolution and
mechanical properties of blended Nickel-based superalloys powders fabricated by laser powder deposition, Materials Science
& Engineering A, http://dx.doi.org/10.1016/j.msea.2016.07.116
17. C. Li, R. White, X.Y. Fang, M. Weaver, Y.B.Guo, Microstructure Evolution Characteristics of Inconel 625 Alloy from Selective
Laser Melting to Heat Treatment, Materials Science & Engineering A,
http://dx.doi.org/10.1016/j.msea.2017.08.058
18. R. Konecna, L. Kunz, G. Nicoletto, A. Baca, Fatigue crack growth behavior of Inconel 718 produced by selective laser melting,
Frattura Ed Integrita Strutturale,2016;(35):31.
19. M.Probstle, S.Neumeier, J.Hopfenmuller, L.Freund, T.Niendorf, D.Schwarze, M.Goken, Superior creep strength of a nickel-
based superalloy produced by selective laser melting, Mater. Sci. Eng.: A 2016; 674299-307
20. Y.Kuo, S.Horikawa, K.Kakehi, Effects of build direction and heat treatment on creep properties of Ni-base superalloy built up by
additive manufacturing, Scr. Mater. 2017; 12974-78
21. G. Strano, L. Hao, R.M. Everson, K.E. Evans, Surface roughness analysis, modelling and prediction in selective laser melting, J.
Mater. Process. Technol. 2013;213(4):589-597.
22. I.Gurrappa, I.V.S.Yashwanth, J.S.Burnell-Gray, Sulfidation characteristics of an advanced superalloy and comparison with other
superalloys intended for gas turbine use, The Minerals, Metals & Materials Society and ASM International 2013, DOI:
10.1007/s11661-013-1859-8
23. J.G. Gonzalez-Rodriguez, S. Haro, A. Martinez-Villafa, V.M. Salinas-Bravo, J. Porcayo-Calderon, Corrosion performance of
heat resistant alloys in Na2SO4–V2O5 molten salts, Materials Science and Engineering A 435–436 (2006) 258–265
24. T. S. Sidhu, S. Prakash, R. D. Agrawal, Study of Molten Salt Corrosion of High Velocity Oxy-Fuel Sprayed Cermet and Nickel-
Based Coatings at 900˚C, DOI: 10.1007/s11661-006- 9002-8 _ The Minerals, Metals & Materials Society and ASM International
2007
25. D. Saber, Islam S. Emam, R. Abdel-Karim, High temperature cyclic oxidation of Ni based superalloys at different temperatures
in air, Journal of Alloys and Compounds 719 (2017) 133e141
26. Shaolin Li, Xiaoguang Yang, Hongyu Qi, Jianan Song, Duoqi Shi, Low-Temperature Hot Corrosion Effects on the Low-Cycle
Fatigue Lifetime and Cracking Behaviors of a Powder Metallurgy Ni-Based Superalloy, International Journal of FatigueS0142-
1123(18)30270-6
DOI:https://doi.org/10.1016/j.ijfatigue.2018.06.035
27. G.A. El-Awadia, S. Abdel-Samada, Ezzat S. Elshazly, Hot corrosion behavior of Ni based Inconel 617 and Inconel 738
superalloys, Applied Surface Science 378 (2016) 224–230
28. V. Demetriou, J.D. Robson, M. Preuss, R. Morana, Study of the effect of hydrogen charging on the tensile properties and
microstructure of four variant heat treatments of nickel alloy 718, international journal of hydrogen energy xxx (2017) 1-15
29. Y. Noguchia, H. Okadaa, H. Hirataa, F. Minami, Effect of aging on high temperature fatigue properties of Ni-23Cr-7W alloy for
boiler pipes and tubes, International Journal of Pressure Vessels and Piping 165 (2018) 81–89
30. Enxiang Pua, Wenjie Zheng, Zhigang Song, Ke Zhang, Shuang Liu, Wenxing Shen, Han Dong, Evolution of microstructure and
tensile properties during solution treatment of nickel-based UNS N10276 alloy, Materials Science & Engineering A,
http://dx.doi.org/10.1016/j.msea.2017.08.101
31. Y.C. Lin, Hui Yang, Ling Li, Effects of solutionizing cooling processing on γ ″ (Ni3Nb) phase and work hardening
characteristics of a Ni-Fe-Cr-base superalloy Vacuum (2017), doi: 10.1016/ j.vacuum.2017.07.025.
32. Li-ming TAN, Yi-wen ZHANG, Jian JIA, Shou-bo HAN, Precipitation of µ Phase in Nickel – based Powder Metallurgy
Superalloy FGH 97, Journal of iron and steel research, International, 2016, 23 (8) : 851-856.
Paper Title: Flow characteristics of Axisymmetric Cavity Rear Wall Divergence Angle in a Scramjet Combustor
Abstract: Non-reacting experimental study was performed on a rear wall angled cavity actuated supersonic
flow of Mach 1.5 from a convergent divergent nozzle using a blowdown wind tunnel test setup. Ten different
model combinations of double angled rear wall cavities is preferred for the study of improvements in the
geometrical design of the combustor. Flow field properties of various cavity geometries were analyzed based on
the key parameters like, wall static pressures, stagnation pressure loss to the flow and qualitative mixing of flow
using momentum flux distribution. The static pressure is found to decrease inside the combustor with a decrease
in the secondary dual rear wall angle below 90 degrees whereas value increases at the rear wall OWING to
oscillation and recompression of shear layers inside the cavity region. In addition, the decrement in primary rear
wall angle, an enhancement in mixing profile and a reduction in stagnation pressure loss are also observed.
35.
Keyword: Cavity divergence angle, scramjet, momentum flux distribution, wall static pressure, pressure loss.
159-163
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Elsevier
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Engineering, vol. 25, no. 3, pp. 336–346, 2012..
12. Jeyakumar S, Shan M Assis, K Jayaraman, Effect of Axisymmetric Aft Wall Angle Cavity in Supersonic Flow Field ,
International Journal of Turbo & Jet-Engines, DOI: 10.1515/tjj-2016-0027, June 2016.
13. Maurya PK, C. R, R.R. VK, Vaidyanathan A. Effect of aft wall offset and ramp on pressure oscillation from confined supersonic
flow over cavity. Exp Therm Fluid Sci 2015;68:559–73. doi:10.1016/j.expthermflusci.2015.06.014.
14. Vikramaditya NS, Kurian J. Pressure Oscillations from Cavities with Ramp. AIAA J 2009;47:2974–84. doi:10.2514/1.43068.
15. Jeyakumar S, Shan M Assis, K Jayaraman, “Experimental Study on the Characteristics of Axisymmetric Cavity Actuated
Supersonic Flow”, Proc IMechE Part G: Journal of Aerospace Engineering, 2017 1–8, IMechE August 2016, DOI:
10.1177/0954410016667149
Paper Title: Hazard Identification and Risk assessment in the Olive products manufacturing industry
Abstract: Nowadays health and safety issued have been raised all the manufacturing industry during making
products. Here the work is considered about the manufacturing process of Olive products and issues faced by
workers in the industry. In industry workers mostly exposed by health and safety hazards. The objective of this
study is to identify the risk level in the manufacturing process of Olive in industry and to assessment procedure
is given for access to the manufacturing process without adverse effect to the human being. The risk level is
37. estimated using hazards, risk (probability of hazards), severity and risk assessment matrix. Based on the
aforementioned consideration in the industry during the manufacturing process of Olive, the risk management
action is given and it should be reviewed and documented. 167-170
Keyword: Health issues, Safety issues, Olive manufacturing process, Risk assessment.
References:
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construction industry,”. International journal of project management, 26(4),2008, pp. 431-438.
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assessment in the construction industry Overview and reflection,” Safety science, 49(5), 2011, pp. 616-624.
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7. Mills:Limitations and new perspectives,” 2016.
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subjectivity in estimating occupational accident severity,” Accident Analysis & Prevention, 45, 2012, pp. 281-290.
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“Risk assessment of maintenance operations: The analysis of performing task and accident mechanism,”International Journal of
Injury Control and Safety Promotion, 22(3), 2015, pp. 267-77.
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12. M.A.Rodrigues, P.Arezes and C.P.Leão,” Defining risk acceptance
criteria in occupational settings: A case study in the furniture industrial sector,” Safety Science, 80,2015, pp. 288-295.
171-174
Keyword: Ductile iron, Cast iron, Graphite, Pipes.
References:
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Optimization based on feed path and temperature analysis,” 2012.
2. Charles W. Mooney, Jr. Dies, “The best of Ductile
iron news‖,” IL, 2001, pp. 60016-8399
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Cement Mortar Linings for Gray Iron and Ductile Iron Water Pipe, “Journal American Water Works Association, 66(6),
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Keyword: Automated drip Irrigation system, Solar panel, Arduino board, Soil moisture sensors
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Paper Title: Anaerobic Digestion Creating Renewable Energy-The Ultimate Closed Loop System
Abstract: This paper clarifies the significance of Anaerobic Digestion (AD) process. Sustainable power
source from anaerobic assimilation gets little evaluation in the press when contrasted with other standard
inexhaustible power age advances. It has not been so well known a sustainable power source when contrasted
44. with hydropower sustainable power source or wind sustainable power source in the course of the most recent
couple of years. Be that as it may, Renewable vitality from anaerobic processing is boosted the innovation will
turn out to be increasingly mainstream in the coming years. Sustainable power source from anaerobic 197-199
assimilation is amassed in America and Europe and eminently famous in India. Each 1 ton of sustenance waste
discarded unnecessarily is in charge of 4.5 huge amounts of CO2 proportionate emanations. Advertisement gives
a neighbourhood reasonable secure vitality source free of worldwide financial vitality changes and accessibility,
where income is kept in the nearby economy as opposed to going to oil rich nations and multinationals.
Sustainable power source from anaerobic processing is created by the consuming of methane. Sustainable power
source from anaerobic assimilation is created in storehouses where specific microbes are added to natural waste.
Sewage, vegetation, excrement, slaughterhouse waste and waste water would all be able to be separated in an
anaerobic assimilation storehouse. At times, specific silage yields are developed for decay. The microbes are
added to the waste and the disintegration happens without oxygen. The methane delivered during decay is
scorched nearby, driving turbines and making inexhaustible power. Anaerobic processing isn't especially
reasonable for little scale local sustainable power creation, to a great extent because of the space prerequisites for
the storehouses and the sheer measure of waste required to delivering methane. Notwithstanding, sustainable
power source from anaerobic assimilation can be delivered on a huge business scale, a training regular in the
United States, taking waste from a wide area.
Keyword: ZnO nanofibers; Eosin Yellow; ZnO nanostructures; Dye-sensitized solar cells;
Photoelectrochemical cells
References:
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Nanoscale, 2010, 2, 1573–1587.
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3. Q. Zhang, C. S. Dandeneau, X. Zhou, G. Cao, ZnO nanostructures for dye-sensitized solar cells. Adv. Mater. 2009, 21, 4087-
4108.
4. S. Suresh, A. Pandikumar, S. Murugesan, R. Ramaraj, Samuel Paul Raj. Photovoltaic performance of solid-state solar cells based
on ZnO nanosheets sensitized with low-cost metal free organic dye. Solar Energy, 2011, 85, DOI:10.1016/j.solener.2011.04.016.
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sensitized solar cells, Energy Environ. Sci. 2008, 1, 66–78.
7. W. J. Lee, H. Okada, A. Wakahara, A. Yoshida, Structural and photoelectrochemical characteristics of nanocrystalline ZnO
electrode with eosin-Y. Ceramics International 2006, 32, 495–498.
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during preparation. J. Phys. Chem. C 2009, 113, 6910–6912.
9. T. Yoshida, K. Terada, D. Schlettwein, T. Oekermann, T. Sugiura, H. Minoura, Electrochemical self-assembly of nanoporous
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prepared under different conditions. Appl. Phys. Lett. 2003, 83,141-143.
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Keyword: Cu (II), Co (II), Schiff base, complexes, oxidation of alcohols, C-C coupling
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Kumaresan Murugesan, Vanthana Jeyasingh, Sudha Lakshminarayanan, Selvapalam Narayanan,
Authors:
Lakshminarayanan Piramuthu
Paper Title: Electron Deficient π-hole Assisted Colorimetric Probe for Selective Cyanide Recognition.
Abstract: Here in, simple and novel electron deficient pi-Hole assisted amide based colorimetric receptor
synthesized for cyanide recognition which produce yellow to brownish red color change upon the addition of
cyanide in acetonitrile medium. Cyanide has selectively recognized successfully with 1:1 stoichiometric ratio
and 1.5523x104 M-1 association constant. Cyanide recognition study was carried out with UV-Vis absorption
and FTIR-Analysis and association constant and stoichiometric ratio were calculated by Benasi-Hildebrand plot
and job’s continues variation method respectively.
50. Keyword: Anion recognition, colorimetric sensors, cyanide sensing, urea receptor.
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7. E.B. Veale, T. Gunnlaugsson, “Bidirectional photoinduced electron-transfer quenching is observed in 4- amino-1, 8-
naphthalimide-based fluorescent anion sensors,” J. Org. Chem. vol.73(20), pp. 8073-8076, September 2008.
8. R. M. Duke, T. Gunnlaugsson, “Selective fluorescent PET sensing of fluoride (F−) using naphthalimide–thiourea and–urea
conjugates,” Tetrahedron Lett. vol. 48, pp. 8043- 8047, November 2007.
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12. D. Esteban-Gomez, L. Fabbrizzi, and M. Liechelli, “Why, on interaction of urea-based receptors with fluoride, beautiful
colors develop,” J. Org. Chem. vol. 70(14), pp. 5717-5720, June 2005.
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14. T. Gunnlaugsson, P. E. Kruger, P. Jensen, J. Tierney, H. D. P. Ali, and G. M. Hussey, “Colorimetric “naked eye” sensing
of anions in aqueous solution,” J.Org. Chem. vol. 70(26), pp. 10875-10878, November 2005.
15. F. M. Pfeffer, A. M. Buschgens, N. W. Barnett, T. Gunnlaugsson, and P. E. Kruger, “4-Amino-1, 8-naphthalimide-
based anionreceptors: employing the naphthalimide N–H moiety in the cooperative binding o dihydrogenphosphate,”
Tetrahedron Lett. Vol. 46, pp. 6579- 6584, September 2005.
16. T. Gunnlaugsson, A. P. Davis, and M. Glynn, “Fluorescent photoinduced electron transfer (PET) sensing of anions using
charge neutral chemosensors,” Chem. Commun. vol. 24, pp.2556-2557, November 2001.
17. Helal, H. S. Kim, “Thiazole-based chemosensor III: synthesis and fluorescence sensing of CH3CO2− based on inhibition of
ESIPT,” Tetrahedron. Vol. 66, pp. 7097-7103, August 2010.
18. A. K. Mahapatra, G. Hazra, and P. Sahoo, “Synthesis of ndolo [3, 2-b] carbazole-based new colorimetric receptor
for anions: A unique color change for fluoride ions,” Beilstein Journal of Organic Chemistry. Vol. 6, pp. 12, February 2010.
19. J. Li, H. Chen, H. Lin, and H. Lin, “A simple colorimetric sensor for biologically important anions based on intramolecular
charge transfer (ICT),” Journal of Photochemistry and Photobiology B:Biology, vol. 97, pp. 18-21, October 2009.
20. Pérez-Casas, A. K. Yatsimirsky, “Detailing hydrogen bonding and deprotonation equilibria between anions and
urea/thiourea derivatives,” The Journal of Organic Chemistry vol. 73(6), pp. 2275-2284, February 2008.
21. M. G. DosSantos, T. McCabe, G. W. Watson, P. E. Kruger, and T. Gunnlaugsson. “The recognition and sensing of anions
through “positive allosteric effects” using simple urea_amide receptors,” The Journal of Organic Chemistry, vol. 73(23), pp.
9235-9244, November 2008.
22. M. Boiocchi, L. D. Boca, D. E. Gómez, L. Fabbrizzi, M. Licchelli, and E. Monzani. “Nature of urea fluoride interaction:
incipient and definitive proton transfer,” Journal of the American Chemical Society, vol.126(50), pp. 16507 -16514,
November 2004.
Ramesh Prakash, Narayanan Selvapalam Govindaraj Usha, Karuppasamy Karpagalakshmi,
Authors:
Lakshminarayanan Piramuthu
Paper Title: Brilliant Green Decorated Graphene Oxide for the Detection of Cucurbit[7]uril
Abstract: Among the synthetic receptors, Cucurbiturils have gained much attention recent days due to their
unique binding potential with variety of drugs and dyes. However, no facile detection method using UV-vis
spectroscopy has been developed. Here, we have developed the brilliant green decorated graphene oxide
(BGGO) for the detection of cucurbit[7]uril (CB[7]) with good selectivity and sensitivity. Thus, BGGO could
able to detect the CB[7] and turn on the release of brilliant green quantitatively. Among the sensors for CB[7],
BGGO is the low-cost and sensitive sensor for CB[7] with high selectivity
Keyword: Catalytic degradation, Ciprofloxacin, Silver doped metal tungstate, visible light, Biological study
References:
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52. photocatalytic mechanism, Appl. Catal. B 113-114 (2012) 221–227.
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14. F.T. Li, Y. Zhao, Q. Wang, X.J. Wang, Y.J. Hao, R.H. Liu, D.S. Zhao, Enhanced visible-light photocatalytic activity of active
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contamination of our nation’s drinking water,” Natural Resources Defense Council White Paper, 60 (2009).
Design and Fabrication of Novel Sheet-like Iron Vanadate Photocatalyst for the Photoreduction of
Paper Title:
Chromium
53. Abstract: In past days, the occurrence of toxic heavy metal ions into the water and soil environment causes
major health risk to the living organisms. In this work, we mainly focused on the photoreduction of hexavalent
chromium (Cr6+) using novel sheet-like Fe2V4O13 photocatalyst under visible light irradiation. The sheet-like 237-241
Fe2V4O13 was tailored through hydrothermal process using ferric chloride and sodium metavanadate precursors
without addition of any templates. The surface morphology, elemental analysis and various physical properties
are characterized by numerous spectroscopic techniques. Interestingly, the sheet-like Fe2V4O13 demonstrated
proficient photocatalytic performances towards the reduction of Cr6+ into Cr3+. The obtained UV-visible
spectroscopy results portrayed that sheet-like Fe2V4O13 could reduce above of Cr6+ solution within 40 min.
Moreover, the sheet-like Fe2V4O13 holds very good stability even after five consecutive cycles. This study
could open new insights for the design novel nanostructured binary metal oxides for environmental applications.
Paper Title: Effect of Prosopis Juliflora on the Soil Fertility in Usilampatti zone, Tamil Nadu
Abstract: The invasion of Prosopis Juliflora in the tropical and sub-tropical ecosystems reached alarming
condition because of their allelopathic nature and potential threat to the diversity. In this paper, the effect of
Prosopis Juliflora on soil fertility in Usilampatti area is analysed. The concentration of macronutrients and
micronutrients beneath and outside the Prosopis Juliflora canopy is studied and compared. The paper also
explains the soil characteristics on the basis of the pH of the soil sample.
54. References:
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UAE”, Plant Ecol., 2007,vol. 190, pp. 23–35.
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Prosopisjuliflora Invasion: Biogeographic and Congeneric Comparisons”, PLoS ONE, Vol. 7, 2012, pp. 1-13.
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trees on soil microbial community and enzymatic activities in intensive silvopastoral systems of Colombia, Agric”. Ecosyst.
Environ., Vol. 150, 2012, pp. 139-148.
12. D.C. Ruthven, “Herbaceous vegetation diversity and abundance beneath honey mesquite (Prosopisglandulosa) in the South Texas
plains”, Texas Journal of Science, vol. 53, 2001, pp. 171-186.
13. C.Nivetha and V.Janahiraman, “Rainfall analysis and suggested cropping system forUsilampatti Taluk of Madurai district, Tamil
Nadu”, J.Pharmacogn.Phytochem., vol. 7, 2018, pp. 157-160
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pp. 232–247.
16. R. ThiruniraiSelvan. K.T. Parthiban and B. Palanikumaran, “Prosopisjuliflora – A Myth and Reality to the Current Development
Scenario in Tamil Nadu”, Int. J. Pure App. Biosci., vol. 6, 2018, pp. 1088-1092
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methodology”. Soil Biol. Biochem., vol. 26, 1994, pp. 1709-1710
Narayanan Selvapalam, Theivasanthi Thirugnanasambandan, R. Santhiya, Karuppasamy
Authors:
Karpagalakshmi, Lakshminarayanan Piramuthu
Paper Title: Electrochemical Performance of Graphene blended NiFe2O4 Composite
Abstract: Graphene was blended with Nickel ferrite in the form of nanocomposite, which was prepared by
solid state synthesis using tartaric acid as an activating agent. The nanocomposite was characterized by XRD,
SEM, FTIR and UV Visible spectroscopy. Unlike the other composite materials, the Graphene – Nickel ferrite
composite (GNFC) showed high specific reversible capacity, which has been studied by the cyclic voltammeter.
The electrochemical impedance studies of GNFC proved that such material can be useful for the anode material
of the Li-ion batteries. The fast charge-discharge property may be due to the heteroarchitechure of the GNFC..
56. Abstract: The seeds of cicerarietinum were made into flour, cooked in a different methods and analyzed for
Phosphorous, Phytin, Ionisable Iron, Niacin and Thiamin by standard methods.Nutritious values of
cicerarietinum varies significantly when they cooked. Mode of cooking play a vital role in the determination of 249-252
nutrition in food. Gram flour has significant amounts of niacin and thiamin and ionisable iron in its uncooked
flour form.This flour have 280 mg/100g phosphorous, 1.6 mg/100g ionisable iron, 0.357 mg/100g thiamin and
4.7 mg/100g niacin. Thus, the flour may be used as value addition food which in turn increased nutrition in low
cost.
Authors: K.Viswanathan
Variation of Azimuth Angle Distribution of EAS, With Slope of the Detector Array Plane – A
Paper Title:
Examination by Semi-Montecarlo Simulation
Abstract: The azimuth angle distribution of EAS is expected, as Cosmic Rays are isotropic. It is seen that,
if the plane of the detectors is not horizontal, the azimuth angle distribution becomes non-uniform. In such cases
it is necessary to make proper correction for this non-uniformity, when one attempts to use the EAS data
collected in such array, for source search. An attempt is made to correlate the extent of non- uniformity with the
slope of the array plane, using simulation.
Keyword: Cosmic Rays, Azimuth angle distribution, Zenith angle distribution, Extensive Air Shower.
References:
1. Apte A.R., Gopalakrishnan N.V., Tonwar S.C., Uma V., “Angular Resolution of an EAS Array for Gamma Ray Astronomy at >
5x1013 eV”, Proceedings of 19 th International Cosmic Ray Conference, Vol.3, 469-472, 1985.
57. 2. B.S.Acharya, P.N.Bhat, A.V.John, S.G.Khairatkar, B.K.Nagesh, M.R.Rajeev, K.Shobha Rao, M.V.S.Rao, V.A.Reddy, S.Sinha,
K.Sivaprasad, A.J.Stanislaus, S.C.Tonwar, P.Unnikrishnan, S.S.Upadhyaya, B.L.Venkatesh Murthy, P.R.Viswanath,
K.Viswanathan, “Angular Resolution of the K.G.F. experiment to detect Ultra High Energy Gamma Ray Sources”, Journal of
Physics G., Nuclear and Particle Physics 19, 1053 1993. 253-255
3. Angular resolution of the GRAPES III EAS array for UHE Gamma ray Astronomy, P.K.Mohanty, S.K.Gupta, Y.Aikawa,
N.V.Gopalakrishnan, Y.Hayashi, N.Ito, A.Iyer, A.Jain, P.Jagadeeshan, A.V.John, S.Karthikeyan, S.Kawakami, T.Matsuyama,
D.K.Mohanty, S.D.Morris, T.Nonaka, A.Oshima, B.S.Rao, K.C.Ravindran, K.Sivaprasad, B.V.Sreekantan, H.Tanaka,
S.C.Tonwar, K.Viswanathan, T.Yoshikoshi, Proceedings of 29th International Cosmic Ray Conference, Pune, 6, 21 (2005).
4. K.Viswanathan, “Observation of Sun-Moon Shadow in Cosmic Rays, and determination of Angular resolution of the GRAPES
III EAS Array”, National Space Science Symposium, Kottayam, Kerala, 2004.
5. A. Oshima, S.R. Dugad, U.D. Goswami, S.K. Gupta, Y. Hayashi, N. Ito, A. Iyer, P. Jagadeesan, A. Jain, S. Kawakami, M.
Minamino, P.K. Mohanty, S.D. Morris, P.K. Nayak, T. Nonaka, S. Ogio, B.S. Rao, K.C. Ravindran, H. Tanaka, S.C. Tonwar,
“The angular resolution of the GRAPES-3 array from the shadows of the Moon and the Sun”, Astroparticle Physics, 33, 97-107,
2010.
6. S.K. Gupta,Y. Aikawa, N.V. Gopalakrishnan, Y. Hayashi, N. Ikeda, N. Ito, A. Jain, A.V. John, S. Karthikeya n, S. Kawakami, T.
Matsuyama, D.K. Mohanty, P.K. Mohanty, S.D. Morris, T. Nonaka, A. Oshima, B.S. Rao, K.C. Ravindran, M. Sasano, K.
Sivaprasad, B.V. Sreekantan, H. Tanaka, S.C. Tonwar, K. Viswanathan, T. Yoshikoshi, “GRAPES-3 – A high-density air shower
array for studies on the structure in the cosmic-ray energy spectrum near the knee”, Nuclear Instruments and Methods in Physics
Research A540, 311 (2005).
P. Devendran, S. Ezhil Arasi, R. Ranjithkumar, C. Sambathkumar, V. Manirathinam,
Authors:
N.Nallamuthu, M. Krishna Kumar, A. Arivarasan, S. Asath Bahadur
Transition Hausmannite Nanoparticles Embedded on Uniform Carbon Micro Spheres Synthesis for
Paper Title:
Electrochemical Examination
Abstract: Carbon spheres wrapped by maghemite nanoparticles were synthesized through facile
hydrothermal method. The structural parameters were analyzed through powder x-ray diffraction analysis.
Functional groups were analyzed by Fourier transform infrared spectroscopic analysis. The prepared carbon
58. spheres wrapped by maghemite nanoparticles morphology were investigated using scanning electron
microscopic analysis. The elemental composition and distribution of elements were examined by energy
dispersive spectroscopic technique with mapping. Redox property, charge discharge mechanism was done 256-259
through cyclic voltammetry and galvanostatic charge-discharge studies.
Keyword: Maghemite nanoparticles, carbon spheres, hydrothermal, SEM, cyclic voltammetry, charge-
discharge.
References:
1. P. Devendran, T. Alagesan, A. Manikandan, S. Asath Bahadur, M. Krishna Kumar, S. Rathinavel, K. Pandian, “Sonochemical
Synthesis of Bi2S3 Nanowires using Single Source Precursor and Study of Its Electrochemical Activity” Nanosci. and
Nanotechnol. Lett. 2016, 8, 1-6.
2. P. Devendran, T. Alagesan, T. R. Ravindran, K. Pandian, Synthesis of spherical CdS quantum dots using cadmium
diethyldithiocarbamate as single source precursor in olive oil medium, Current Nanoscience, 2014, 10, 302-307.
3. P. Devendran, T. Alagesan, K. Pandian, “Single pot microwave synthesis of CdS nanoparticles in ionic liquid and their
photocatalytic application” Asian Journal of Chemistry, Sup. Issue, 2013, 25, S79- S82.
4. A. Shameem, P. Devendran, V. Siva, M. Raja, A. Manikandan, S. Asath Bahadur, Preparation and Characterization of
Nanostructured CdO thin films by SILAR method for Photocatalytic Application, J. of inorganic and organometallic poly. and
mat., 2017, 27, 692–699.
5. R. Packiaraj, P. Devendran, S. Asath Bahadur, N. Nallamuthu, Structural and electrochemical studies of Scheelite type BiVO4
nanoparticles: synthesis by simple hydrothermal method, J. of Materials Science: Materials in Electronics (2018) 29:13265 –
13276.
6. Yair, K.; Marcus, R.; Emanuel, K.; Lars, B.; Alexander, K.; Stefan, K.; Gleb, Y., High-Rate Electrochemical Capacitors Based on
Ordered Mesoporous Silicon Carbide-Derived Carbon.ACS Nano 2010, 4, 1337−1344.
7. Pan, S.; Lin, H.; Deng, J.; Chen, P.; Chen, X.; Yang, Z.; Peng, H., Novel Wearable Energy Devices Based on Aligned Carbon
Nanotube Fiber Textiles. Adv. Energy Mater. 2015, 5, 1401438.
8. Zhang, Y.; Zhao, C.; Ong, W. K.; Lu, X., Ultrafast-Freezing-Assisted Mild Preparation of Biomass-Derived, Hierarchically
Porous, Activated Carbon Aerogels for High-Performance Supercapacitors. ACS Sustain. Chem. Eng. 2018, 7, 403−411.
9. K. Seevakan, A. Manikandan, P. Devendran, A. Shameem, T. Alagesan, Microwave combustion synthesis, magneto -optical and
electrochemical properties of NiMoO4 nanoparticles for super capacitor application, Ceramics International 44 (2018) 13879–
13887.
10. K. Seevakan, A. Manikandan, P. Devendran, A. Baykal, Y. Slimani, T. Alagesan Structural, morphological and magneto -optical
properties of CuMoO4 electrochemical nanocatalyst as supercapacitor electrode, Ceramics International 44 (2018) 20075–20083.
11. K. Seevakan, A. Manikandan, P. Devendran, S. Arul Antony, T. Alagesan, One-pot synthesis and characterization studies of iron
molybdenum mixed metal oxide (Fe2(MoO4)3) nano – nanocatalysts, Advanced Science, Engineering and Medicine, 2016, 8, 1-
7.
12. P. Devendran, T. Alagesan, K. Pandian, Synthesis and characterization of Bi2S3 nanorods decorated on carbon sphere and study
its electrochemical application, Advanced Materials Research, 2014, 938, 215-220.
13. A. M. Prodan, S. L. Iconaru, C. M. Chifiriuc, C. Bleotu, C. S. Ciobanu, M. Motelica-Heino, S. Sizaret, D. Predoi, Magnetic
Properties and Biological Activity Evaluation of Iron Oxide Nanoparticles, Journal of Nanomaterials 2013 (893970) 1-7.
14. M. Aliahmad, N. Nasiri Moghaddam, Synthesis of maghemite (γ- Fe2O3) nanoparticles by thermal-decomposition of magnetite
(Fe3O4) nanoparticles, Materials Science-Poland, 2013, 31( 2) 264–268.
15. B. P. Singh, Arun kumar, H. I. A-Martinez, C. A. V. Olivencia, S. M. Tomar, Synthesis, Charactrization and electrocatalytic
ablity of Fe2O3 anoparticles for sensing acetaminophen, Indian Journal pf pure & Appliced physics, 2017, 55, 722-728.
16. R. Ranjithkumar, S. Ezhil Arasi, S. Sudhahar, N. Nallamuthu, P. Devendran, P. Lakshmanan, M. Krishna Kumar, Enhanced
electrochemical studies of ZnO–CNT nanocomposite for supercapacitor devices, Physica B Vol.568 (2019) pp.51-59.
Paper Title: Optical Examination on Zinc Sulphide Nanoparticles for Photovoltaic Applications
Abstract: In this research work Zinc Sulphide nanoparticles are synthesized by co–precipitation method
with zinc nitrate and sodium sulfide sources. The obtained particles are characterized to know its structure,
crystalline pattern, crystalline size and other morphologies. The crystalline size of the material is calculated by
Debye–Scherrer Formula. X–Ray Diffraction analysis, Scanning Electron Microscopy, Fourier Transform
Analysis and UV–Visible spectrum analysis is performed to study the mentioned morphology and properties of
the material synthesized. The central point of this research work is to study the behavior of Zinc sulfide
nanoparticles for solar cell applications. Hence, luminescence property of the material is finally analyzed.
Keyword: About four key words or phrases in alphabetical order, separated by commas.
References:
1. Rui-Wei You, Yen-Pei Fu,, “Zinc Sulfide Buffer Layer for CIGS Solar Cells Prepared by Chemical Bath Deposition,” Adv.
Technol. Innov, vol. 2(3), pp. 95 – 98, 2016.
59. 2. P. Asha, M. Rajeswari and B. Bindhu, “Zinc sulfide nanoparticles: processing, properties and applications: an overview”, J Ch em
Pharm Sci, Vol.9(4), pp. 2047-2052, 2016.
3. Salim Oudah Mezan, Abdullah Hasan Jabbar, Maytham Qabel Hamzah, Alaa Nihad Tuama, Nabeel Naeem Hasan, Mohd Arif
260-263
Agam, “Synthesis and Characterization of Zinc Sulphide (ZnS) Thin Film Nanoparticle for Optical Properties,” J. Glob. Pharm.
Technol., vol. 10(07), pp. 369-373, 2018.
4. Mahdi H. Suhail, Omed Gh. Abdullah, Raoof A. Ahmed, Shujahadeen B. Aziz, “Photovoltaic Properties of Doped Zinc
Sulfide/n-Si Heterojunction Thin Films”, Int. J. Electrochem. Sci., vol. 13, pp. 1472 – 1483, (2018).
5. V.B. Pujari, D.J. Dhage, and L.P. Deshmukh, Photo-voltaic Study of Hg Doped ZnS Thin Films, Inter. J. of Appl. Innov. Eng.
Man., vol. 2(2), pp. 275, 2013.
6. E.U. Masumdar, L.P. Deshmukh, S.H. Mane, V.S. Karande, V.B. Pujari, and P.N. Bhosale, CdSe : Sb electrode for
photoelectrochemical applications, J. Mater. Sci. Mater. Electron., vol. 14, pp.43, (2003).
7. S. Hossain, N. Amin, and T. Razykov, Prospects of back contacts with back surface fields in high efficiency ZnxCd1 -xs /CdTe
solar cells from numerical modeling, Chalcogenide Lett., vol.8, pp.187, (2011).
8. M.A. Akram, S. Javed, M. Islam, M. Mujahid, and A. Safdar, Arrays of CZTS sensitized ZnO/ZnS and ZnO/ZnSe core/shell
nanorods for liquid junction nanowire solar cells, Sol. Energ. Mater. Sol. Cells, vol. 146,pp.121,(2016).
9. M. Guo, X. Zhu, and H. Li, Comparative study of Cu2ZnSnS4 thin film solar cells fabricated by direct current and pulse revers e
co-electrodeposition, J. Alloy. Compd., vol. 657, pp.336, (2016).
10. C. Calderon, J.S. Oyola, P. Bartolo-Perez, and G. Gordillo, Studies in CuInS2 based solar cells, including ZnS and In2S3 buffer
layers, Mater. Sci. Semicon. Proc., vol. 16, pp. 1382, (2013).
11. M.K.Ghosh, S.Anand, R.P.Das, Effect of dissolved impurities during ammonia leaching of pure zinc sulphide, Hydrometallurgy,
Vol.22(1–2), pp.207-221, 1989.
Paper Title: Structural and Bonding Behavior Analysis of Microwave Sintered ZnO:Co materials
Abstract: In this present study, Zn1-xCoxO (x = 0.0, 0.04 & 0.06) samples were synthesized using
conventional solid state sintering process and characterized by PXRD and SEM. The structural analysis was
done using Rietveld profile refinement technique. The chemical bonding features and nature between Zn and O
atoms was analyzed by charge distribution studies. The bonding between Zn and O is clearly visible in the three-
dimensional and two-dimensional MEM maps. One- dimensional charge density distribution analysis clearly
61.
reveals that the characteristics of the bond. MEM results were also correlated with the PXRD parameters.
268-270
Keyword: X-ray diffraction, Rietveld Refinement, Scanning charge microscopy, Charge density distribution.
References:
1. T. Guo, M.S. Yao, Y.H. Lin, & C.W.A. Nan, comprehensive review on synthesis methods for transition -metal oxide
nanostructures. Cryst Eng Comm, 17(19), pp. 3551–3585 (2015).
2. A.B. Djurišić., X. Chen., Y.H. Leung., & A. Man Ching Ng. ZnO nanostructures: Growth, properties and applications. Journal of
Materials Chemistry, 22(14), pp.6526–6535 (2012).
3. R. Brayner., S.A. Dahoumane., C. Yéprémian., C. Djediat., M. Meyer., A. Couté., & F. Fiévet. ZnO nanoparticles: Synthesis,
characterization, and ecotoxicological studies. Langmuir, 26(9), pp.6522–6528 (2010).
4. K. U-Thaipan & K. Tedsree. Manipulation of surface morphology of flower-like Ag/ZnO nanorods to enhance photocatalytic
performance. Advances in Natural Sciences: Nanoscience and Nanotechnology, 9(2). (2018).
5. R. Habibi., A.M. Rashidi., J.T. Daryan., & A.M.A. Zadeh. Study of the Rod-Like and spherical nano-ZnO morphology on H2S
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Paper Title: Physico-Chemical and Optical Examination of Water Stored in Copper Vessels
Abstract: Storage of water in copper vessels is traditionally followed in past and many reports have been
published about the antibacterial growth in copper vessel. It is essential to determine the water purity for
drinking purposes in daily life through low cost approach. In the present work an attempt has been made to
investigate the effect of storage of different drinking water in copper vessel for two week. The corresponding
values of pH and TDS meter for different waters were recorded and analyzed. The optical properties such as
UV-Vis and Raman studies along with physio-chemical parameters like pH and TDS were analyzed for 3weeks
against different water sources kept in copper vessel. The Raman spectra provide information for different water
sources. Similarly the UV-Vis spectroscopy provide the peak variation for different waters, however the effect
of days and copper concentration analysis are in investigation. The Results obtained in this study reveals that
water stored in copper vessel reduces the TDS level of bore water Tirunelveli and maintains its pH at 8.0 after 2
weeks. The bore water in Krishnan kovil (virudhunagar district) shows no variation in TDS after 1 week, but in
2nd week there is sudden decrease in TDS from 1050 to 944ppm and pH level decreases to 8.3 showing alkaline
nature. Throughout the experiment we have noticed that the colour of copper vessel changes in case of bore
water. For variation in studies we have also studied the pH and TDS of Drinking water at Kalasalingam
63. Academy of Research and Education. There is no change in colour of copper vessel and TDS and pH remains
same up to one week, but in second week TDS increases to 100ppm while the pH remain constant at 7.4. These
studies will help future researcher for designing of copper vessels and will help them to analyze the Physio- 278-281
chemical studies of water. Moreover the chemical mechanism and reaction between copper vessel and leaching
out of copper into water data base will be generated in future based on UV and Raman studies.
Paper Title: Benchmarking Density Functionals on First Row Transition Metal Fluorides (ScF−MnF)
Abstract: In this work, we have assessed the performances of ten density functionals for the bond length,
vibrational frequency and bond dissociation energy values of first row transition metal fluorides (TMFs). The
selected density functionals are, TPSSh, B3LYP, B97, PBE0, ɷB97X, ɷB97X-D, M05, M05-2X, M06 and
68.
M06-2X respectively. The obtained results are in agreement with the previous experimental or theoretical
results. From this study, it is found that the mean deviation in the metal-fluoride bond length is in the range of 298-303
0.01−0.06 Å and the mean deviation in the metal-fluoride bond energy is in the range of 0.16−0.74 eV. Based on
this study, we suggest that the B3LYP, TPSSh, B97 and PBE0 functionals can produce good results for selected
metal fluoride systems and will be recommended for the above systems.
Keyword: metal fluorides, benchmark study, density functionals, minnesota density functionals, bond
dissociation energy.
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Paper Title: Livelihood Security of Women Agricultural Labourers in Erode District of Tamilnadu
72. Abstract: Aim: The main aims of the study is to identify the socio-economic characteristics of women
agricultural labourer, to identify the determinants linked with economic, food, health, edification and
empowerment as dissimilar domains of livelihood security of women agricultural labourers and to estimate the 316-321
determinants of livelihood security of women agricultural labourers in Erode District of Tamil Nadu.
Methods/Statistical analysis: The research has curbed in to a sample of 140 women agricultural workers
households were selected from four villages of Bhavani taluk of Erode District in Tamil Nadu. A simple
percentage analysis has been employed to identify the socio-economic characteristics and Multiple Regression
equation method has fitted to the data to explore the effects of the explanatory variables on livelihood security of
women agricultural labourers. Findings: Out of the 140 sample women agricultural labour households selected
for the study, vast majority of the households registered as nuclear type of families; 52.86 percent with 2-4
members; 62.14 percent of the women agricultural workers were in the age cluster of 30 – 60 years; 33.57
percent of the respondents had education at secondary level; 33.57 percent labourers income falls in the income
group of Rs.25000-Rs.50000/-,45.00 percent of the households selected for the study were with the asset group
valued below Rs.2.5 lakhs. There was positive relationship of the explanatory variables with composite
livelihood security index of agricultural women workers. Conclusions: Government intervention through
legislation, planning and implementation must be stepped up to provide greater opportunity for the sustainable
development of women livelihood security at all levels, so that the discriminatory practices of women and the
gender related issues against women would be addressed.
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Keyword: RPW Method, Single Minute Exchange Die (SMED), Cycle Time, Lead Time.
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of Researches in Engineering Mechanical and Mechanics Engineering Volume 12 Issue 5 Version 1.0 2012.
17. J. Jaroszewicz, M. Baran, M. Grodzka, D. Humienna. “Reduction of changeover time in a CNC milling machine using erowa
zeroing system based on the example of samasz company, białystok” ZESZYTY NAUKOWE POLITECHNIKI ŚLĄSKIEJ 2017.
18. Mohd Norzaimi bin Che Ani, Mohd Sollahuddin Solihin Bin Shafei. “The Effectiveness of the Single Minute Exchange of Die
(SMED) Technique for the Productivity Improvement” Applied Mechanics and Materials Vols. 465-466 (2014) pp 1144-1148.
19. Mr. Ajinkya Jadhav, Dr. N. R. Rajhans, Mr. Vinayak Angane. ”Reduction In Overall Changeover Time In General Motors,
India” National Conference on, Modeling, Optimization and Control, 4th -6th March 2015, NCMOC – 2015.
20. Shashikant Shinde, et al. “Set up time Reduction of a Manufacturing Line using SMED Technique” International Journal of
Advance Industrial Engineering ISSN 2320 –5539.
Paper Title: Analyzing Energy Efficiency Factors of Residential Towers using fuzzy AHP: A case from India
Abstract: Increasing population, rising cost of energy bills and non-availability of housing land in cities has
necessitated the need to build high rise residential towers for living purposes. As these towers are operational
throughout the year, the energy consumed for maintenance and operation of such buildings is huge. Attaining
building energy efficiency is a significant step towards conserving energy and minimizing the cost of utility
bills. To achieve this factors that lead to energy efficient operations and maintenance of the residential towers
must be found and prioritized. This research work is one such case study conducted on residential towers in
South India, to find the energy efficiency factors in a building and prioritizing them according to their relative
importance. The results showed that Building energy administration, energy Audits and Building Automation
system are among the top factors that can highly influence the energy consumption pattern in a building. The
77. Analysis is conducted using fuzzy AHP methodology and validated through sensitivity analysis. Further the
paper also discusses the results and provides managerial application as a roadmap for energy efficiency in
buildings. 340-345
Paper Title: Machinability Examination on Nylon-6 GFRP Composite with Abrasive Water Jet Machining
Abstract: This work is aimed to understand the influence of Abrasive Water Jet Machining parameter on
surface roughness of the composites. Extrusion process is used to fabricate the Nylon 6 – GFRP composites. L27
orthogonal array is employed to conduct the experimental studies. Three levels and three parameter namely
applied pressure; standoff distance and transverse feed are used to study the effect on surface roughness.
Taguchi method is employed to determine the optimal combination of the machining parameter. The maximum
applied pressure, low transverse speed and standoff distance is beneficial for reducing the surface roughness.
ANOVA is also employed to determine the contribution of each process parameter on surface roughness and it is
found that standoff distance plays important role in reducing the surface roughness followed by transverse speed
and applied pressure.
Keyword: Bio char, Polyester matrix, Solution dispersion method, Tensile strength, Flexural strength, Impact
strength and Hardness.
79.
References:
1. Y. Lee, J. Park, C. Ryu, K. S. Gang, W. Yang, Y. K. Park and S. Hyun, “Comparison of biochar properties from biomass residues 350-352
produced by slow pyrolysis at 500 C,”, Bioresource technology, 148, 2013, 196-201.
2. S. Richard, J. S. Rajadurai and V. Manikandan, “Influence of particle size and particle loading on mechanical and dielectric
properties of biochar particulate-reinforced polymer nanocomposites,” International Journal of Polymer Analysis and
Characterization, 21(6), 2016, 462-477.
3. Nourbakhsh, A. Karegarfard, A. Ashori and A. Nourbakhsh, “Effects of particle size and coupling agent concentration on
mechanical properties of particulate-filled polymer composites,” Journal of Thermoplastic Composite Materials, 23(2), 2010,
169-174.
4. Patnaik and A. D. Bhatt, “Mechanical and dry sliding wear characterization of epoxy–TiO2 particulate filled functionally graded
composites materials using Taguchi design of experiment,” Materials & Design, 32(2), 2011, 615-627.
5. S. Ojha, G. Raghavendra and S. K. Acharya, “A comparative investigation of bio waste filler (wood apple‐coconut) reinforced
polymer composites,” Polymer Composites, 35(1), 2014, 180-185.
6. Khan, P. Savi, S. Quaranta, M. Rovere, M. Giorcelli, A. Tagliaferro and C. Jia, “Low-cost carbon fillers to improve mechanical
properties and conductivity of epoxy composites” Polymers, 9(12), 2017, 642.
7. Oral, “Determination of elastic constants of epoxy resin/biochar composites by ultrasonic pulse echo overlap method,” Polymer
Composites, 37(9), 2016, 2907-2915.
8. S. C. Peterson, “Evaluating corn starch and corn stover biochar as renewable filler in carboxylated styrene–butadiene rubber
composites,” Journal of Elastomers & Plastics, 44(1), 2012, 43-54.
9. Q. Zhang, W. Yi, Z. Li, L. Wang and H. Cai, “Mechanical properties of rice husk biochar reinforced high density polyethylene
composites,” Polymers, 10(3), 2018, 286.
Paper Title: Hazard Identification using Risk Assesment for A Tyre Manufacturing Process
Abstract: Today’s industries play a major role to develop and create new innovation products in
manufacturing domain. The aim of this project is to identify the hazards, assess the risk and its root cause and to
develop a control measures so that the major and minor hazards can be controlled in the tyre manufacturing
industry and the workers will be working in a hazard free and safety environment. Material handling is the
biggest cause of reportable accident in rubber industry and also hit by moving objects, falling objects, Noise,
Fire etc... This can be identified and controlled by using the technique called HIRARC .By using these
techniques the risks can be identified and the best safety measures can be implemented in the industry
References:
1. D. S. Reddy, A. S. Kumar, and M. S. Rao, “Parametric Optimization of Abrasive Water Jet Machining of Inconel 800H Using
Taguchi Methodology,” Univers. J. Mech. Eng., vol. 2, no. 5, Dec. 2017, pp. 158–162
2. Ravai-Nagy, Sandor, and Nicolae Medan. "Study of Surface Roughness for Steel Parts Cut with Abrasive Water Jets." Magazine
of Hydraulics, Pneumatics, Tribology, Ecology, Sensorics, Mechatronics (HIDRAULICA) 4 (2016): 12-17.
3. A. Kumar, H. Singh, and V. Kumar, “Study the parametric effect of abrasive water jet machining on surface roughness of Inconel
718 using RSM-BBD techniques,” Mater. Manuf. Process., vol. 33, no. 13, pp. 1483–1490, 2018.
4. C. R. Sanghani and M. M. Korat, “Performance Analysis of Abrasive Water Jet Machining Process for AISI 304 Stainless Steel,”
2017.
5. M. S. Rao, “Parametric Optimization of Abrasive Waterjet Machining for Mild Steel: Taguchi Approach,” Int. J. Curr. Eng.
Technol., vol. 2, no. 2, 2014, pp. 28–30.
6. Mutavgjic, Veselko, et al. "Experimental investigation of surface roughness obtained by abrasive water jet machining." 15th
International Research/Expert Conference,“Trends in the Development of Machinery and Associated Technology”, Prague,
Czech Republic.2011. No. 12.
7. P. Löschner, K. Jarosz, and P. Niesłony, “Investigation of the effect of cutting speed on surface quality in abrasive water jet
cutting of 316L stainless steel,” in Procedia Engineering, vol. 149, pp. 276–282, 2016.
8. N. Yuvaraj and M. P. Kumar, “Investigation of process parameters influence in abrasive water jet cutting of D2 steel,” Mater.
Manuf. Process., vol. 32, no. 2, pp. 151–161, 2017.
9. Azhari, A., et al. "Influence of waterjet peening and smoothing on the material surface and properties of stainless steel
304." Surface and Coatings Technology 258 (2014): 1176-1182.
10. M. N. Babu and N. Muthukrishnan, “Exploration on Kerf-angle and Surface Roughness in Abrasive Waterjet Machining using
Response Surface Method,” J. Inst. Eng. Ser. C, vol. 99, no. 6, pp. 645–656, 2018
11. Marušić, Vlatko, et al. "Effect of machining parameters on jet lagging in abrasive water jet cutting." Tehnički vjesnik 20.4
(2013): 677-682.
12. G. A. Escobar-Palafox, R. S. Gault, and K. Ridgway, “Characterisation of abrasive water-jet process for pocket milling in Inconel
718,” Procedia CIRP, vol. 1, no. 1, pp. 404–408, 2012.
13. P. Trivedi, A. Dhanawade, and S. Kumar, “An experimental investigation on cutting performance of abrasive water jet machining
of austenite steel (AISI 316L),” Adv. Mater. Process. Technol., vol. 1, no. 3–4, pp. 263–274, 2016.
14. M. C. P. Selvan et al., “Assessment of Process Parameters in Abrasive Waterjet Cutting of Granite,” Front. Mech. Eng., vol. 1,
no. 3, pp. 929–933, 2012.
Paper Title: Design and Fabrication of Ocean Water Pumping and Storage System
Abstract: Existence of fossil fuels in the near future is not promising because of their depletion at a faster
rate and their limited availability. Further, owing to the global warming this energy has drawn global attention
towards renewable energy resources. In such a scenario, wave power can cater the power needs of upcoming
generations which is green and clean. Our objective is to develop a model which can be used for efficient
conversion of wave energy into electrical power. In the present study the concept of buoyancy has been
utilized to pump the ocean water and storing it at a higher elevation. From this elevation, the potential energy
of water can be converted into kinetic energy for power generation. From the study undertaken, it is observed
that the possibility of electricity generation by using this method and on conducting the experiment, it is
observed that for a wave power of 150W, only 10% of the wave power has been converted and stored in the
form of potential energy of water and the remaining unutilized wave power shows that there still exists scope for
research work for improving the efficiency of extraction
Paper Title: Solid Particle Erosion of Duplex Stainless Steel with and Without Nichrome Coating
Abstract: Premature failure of material is one of the major issues in most of the engineering applications.
The material degradation may be due to many reasons. Erosion is one of the major contributors to this issue. In
order to extend the life of the material the erosion has to be minimized. Atmospheric Plasma Coating is one of
the effective methods of coating to minimize erosion. Studies have established that coating Nichrome can reduce
the rate of erosion. In the present study erosion rate was calculated by varying the parameters like angle of
85. impact, velocity and mass flow rate with the help of air-jet erosion test equipment. The erosion rates of coated
and uncoated DSS were analyzed. Erosion rate was calculated on the weight loss. On analysis of the data it was
established that coatings can reduce the rate of erosion. 376-377
Paper Title: Finite Element Analysis of Bimetallic Layered Pressure Vessel using Ansys
Abstract: This paper work discusses about the effect of bimetallic layer on pressure vessel with different
heads. The main objective of this paper work is to design and analysis of bimetallic layered pressure vessels
using analysis software. In this work analyses about stress concentration factor on bimetallic layer of pressure
vessels wall. The pressure vessels are widely used in thermal, chemical industry, nuclear power plant. In thermal
power plant or thermal related industry produces the high pressure steam in the pressure vessel, that high
pressure steam is induced a stress on the vessel’s wall. So that, the pressure vessel wall is deformed due to high
pressure. That deformation is analysis by ANSYS and Theoretical calculation. In this paper two different types
of head are used, two different head shape are flat and hemispherical head. The stresses developed in the solid
wall pressure vessel and the head of pressure vessel is also analyzed by ANSYS. The theoretical displacement
value and ANSYS displacements value of bimetallic layers are compared. Based on the ANSYS analysis the
better bimetallic layer is selected for pressure vessels fabrication.
Paper Title: Examination of Surface Roughness on Abrasive Water Jet Machining of Carbon Epoxy Composite
Abstract: The main aim of this investigation is to study the surface roughness produced on abrasive water
jet machining of the twill weaved carbon fibre reinforced epoxy composite. Abrasive water jet machining
experiment was conducted as per L9 orthogonal array, by varying water pressure, transverse speed and SOD.
The performance of the composite was analysed by measuring the surface roughness. Using Taguchi analysis,
the influences of input parameter over the output response was analysed. It was found that the surface roughness
is highly influenced by the transverse speed.
87.
Keyword: Abrasive water jet machining, carbon fiber, epoxy, surface roughness. 383-385
References:
1. Dhanawade, Ajit, and Shailendra Kumar, "Experimental study of delamination and kerf geometry of carbon epoxy
composite machined by abrasive water jet," Journal of Composite Materials, vol.51. pp. 3373-3390, 2017.
2. D. Doreswamy, D. Anjaiah, and N. Yagnesh, "An investigation of abrasive water jet machining on graphite/glass/epoxy
composite," International Journal of Manufacturing Engineering, vol. 2015, pp. 11, 2015.
3. M. Haddad, R. Zitoune, F. Eyma and B. Castanié. “Influence of machining process and machining induced surface
roughness on mechanical properties of continuous fiber composites,” Experimental Mechanics, vol.55, pp.519-528, 2015.
4. Siddiqui, T. Uddin, M. Shukla, and Pankaj B. Tambe, "Comparative investigation of abrasive waterjet cut kerf quality
characteristics for aramid, glass and carbon fiber reinforced composites used in transport aircraft applications,"
Proceedings of the 2009 American WJTA Conference, Houston, Texas. 2009.
5. Bhowmik, Sumit, and Amitava Ray. "Prediction and optimization of process parameters of green composites in AWJM
process using response surface methodology," The International Journal of Advanced Manufacturing Technology, vol.87,
pp.1359-1370, 2016.
6. V.Arumugaprabu, S. Thirumalai, and M. Uthayakumar, "Performance evaluation of abrasive water jet machining on
banana fiber reinforced polyester composite."Journal of natural fibers, vol.14, pp.450-457, 2017.
Paper Title: Abrasive Water Jet Machining Performance on Carbon Epoxy Composite
Abstract: The main aim of this investigation is to study the abrasive water jet machining performance of the
twill weaved carbon fibre reinforced epoxy composite. Abrasive water jet machining experiment was conducted
as per L9 orthogonal array, by varying water pressure, transverse speed and SOD. The performance of the
composite was analyzed by measuring the material removal rate and kerf. Using Taguchi analysis, the influences
of input parameter over the output response was analyzed. It was found that the MRR is highly influenced by the
transverse speed whereas kerf is highly influence by the SOD.
Keyword: Carbon fiber composite, Abrasive water jet machining, Kerf, Material removal rate.
88.
References:
1. Dhanawade, Ajit, and Shailendra Kumar, "Experimental study of delamination and kerf geometry of carbon epoxy
composite machined by abrasive water jet," Journal of Composite Materials, vol.51. pp. 3373-3390, 2017. 386-388
2. D. Doreswamy, D. Anjaiah, and N. Yagnesh, "An investigation of abrasive water jet machining on graphite/glass/epoxy
composite," International Journal of Manufacturing Engineering, vol. 2015, pp. 11, 2015.
3. M. Haddad, R. Zitoune, F. Eyma and B. Castanié. “Influence of machining process and machining induced surface
roughness on mechanical properties of continuous fiber composites,” Experimental Mechanics, vol.55, pp.519-528, 2015.
4. Siddiqui, T. Uddin, M. Shukla, and Pankaj B. Tambe, "Comparative investigation of abrasive waterjet cut kerf quality
characteristics for aramid, glass and carbon fiber reinforced composites used in transport aircraft applications,"
Proceedings of the 2009 American WJTA Conference, Houston, Texas. 2009.
5. Bhowmik, Sumit, and Amitava Ray. "Prediction and optimization of process parameters of green composites in AWJM
process using response surface methodology," The International Journal of Advanced Manufacturing Technology, vol.87,
pp.1359-1370, 2016.
6. V.Arumugaprabu, S. Thirumalai, and M. Uthayakumar, "Performance evaluation of abrasive water jet machining on
banana fiber reinforced polyester composite." Journal of natural fibers, vol.14, pp.450-457, 2017.
Keyword: Supply Chain, Manufacturing, Blockchain, Hyper Ledger Fabric, Permissioned Business Network.
References:
1. How Blockchain Delivers Value in Manufacturing, IEEE Innovation
2. Smartsupply: Smart Contract Based Validation for Supply Chain Blockchain, IEEE, DOI:10.1109/Cybermatics_2018.2018.00186
3. Columbus, Louis. (28 Oct 2018). “How Blockchain Can Improve Manufacturing In 2019”. Forbes.
4. Continuous interconnected supply chain Using Blockchain & Internet-of-Things in supply chain traceability, Deloitte
5. Paul Brody, “How Blockchain is revolutionizing supply chain”, EY Global Innovation Blockchain Leader
6. A Permissioned Blockchain Framework for Supporting Instant Transaction and Dynamic Block Size,2016 IEEE
Trustcom/BigDataSE/ISPA
7. Zero to Blockchain, IBM Redbooks course
8. HyperledgerFabric,readthedocs,https://hyperledger-fabric.readthedocs.io/en/release-1.4/blockchain.html
9. https://github.com/Kunstmaan/hyperledger-fabric-kuma-token-example
10. https://github.com/yeasy/docker-compose-files/issues/51
11. ,https://medium.com/patara/design-thinking-for-blockchains-ded1d6cabe53
12. https://public.dhe.ibm.com/common/ssi/ecm/wh/en/whw12345usen/watson-customer-engagement-watson-supply-chain-wh-
white-paper-external-whw12345usen-20180411.pdf
Authors: K. M. John, S. Thirumalai Kumaran
Paper Title: The Techniques Employed in Milling of CFRP to Reduce Material Damages
Abstract: Carbon fiber reinforced polymer composites are extensively used in aircraft industries because of
high strength (load-bearing material). In application, machining process required near net shape for avoiding
rejection of components and it is highly challenging and hard to produce good quality holes and surface. In this
article, reviewing various techniques which involved to bring good surface finish in milling of CFRP composites
and addresses machining parameters, tool geometry, material, coatings and environmental condition techniques.
This current review work will be helpful for researchers to implement new advanced techniques to avoid
material damages in their future work.
Paper Title: Erosion Wear Characteristics on Aroma Skin and Biochar Filled Polyester Composites
Abstract: work focused on erosion behaviour of pure polyester, aroma skin (5wt%) and biochar (7.5wt%)
reinforced polyester composites. The hand-layup method is used to develop the composite plate. To investigate
the erosion wear rate of the developed composite plates, the sized specimen is subjected to erosion studies. As
per ASTM G76 the erosion test was done with the help of air jet erosion tester. To study the parameters of
different reinforcement, impingement angle and impact velocity of the fabricated specimen. The erosion
behaviour of particulate reinforced polyester composites is evaluated at two different reinforcement (aroma skin
91. and biochar) and three different wt% (0wt%, 5wt% and 7.5wt%) at varying impingement angles (30o, 45o, 60o
and 75o) for regular time intervals. The standoff distance, impact velocity and erodent discharge rate were kept
constant. Alumina oxide is used as erodent material with the size of 50µm. From the result, it is observed that 399-402
increase in impingement angle increase the erosion rates. Another observation is made that addition of
reinforcement in matrix material also shows increase in wear rate of composite. In comparison of both aroma
skin and biochar reinforced polymer composites, biochar enhances the erosion resistance of composite in all
impingement angles.
Paper Title: Right First Time Improvement in Agco Mexico Pdi – Dmaic Method
Abstract: Tractors / Units which are reaching to the Dealer end from the plant after passing the mandatory
checks & Inspection. The Quality requirement involves various elements process, people, material, resources
and logistics which is more important to meet the customer satisfaction. The feedbacks are received in terms of
pre delivery inspection (PDI) observations from AGCO Mexico team. The adequacy and adherence are to be
strengthened from receipt to dispatch / transit of end product till dealer point at Mexico. The sustainable actions
are initiated using the RCA and problem solving tools and 6 sigma tools to reduce the variance at various stages
of manufacturing plant and transit. Quick wins are implemented for the single cause issues as well as low cost
actionable issues. Hence the desired enhancement of Right first time (RFT) at dealer / Mexico can be achieved
which is under progress.The Pre-Delivery inspection (PDI) is process of checking the units before dispatch to
the requested customer when the time of sale. Basically it is a Check sheet kind of documents which carried by a
specially qualified engineers. They are basically check all functional parameters of the tractors and cross
examine the aesthetics of the products based on customers’ expectations.
PDI will vary from product to product and classified based on the features inbuilt in the units, but essentially a
92. complete and thorough examination of every aspect of the tractor which basically exterior panels to the interior,
mechanical parts and electricals functions. A complete road test is also included by a professional driver, and if
there by any minor issues, that will be fixed immediately before given to customers. 403-405
Customer satisfaction is the key playing a biggest role in now a day’s business and is the key to sustain in the
market. It is one of the leading indicator to evaluate customer loyalty, identify unhappy customers, reduce churn
and increase business revenue. It is a main difference that helps us to grasp new business and customers in very
competitive environments. This will give on positive sign for customer centric approach to sustain in the
business in long term.
Keyword: Heat Exchanger design, Corrugated Copper plate, SS304 Pipe, Heat transfer coefficient
References:
1. Rafał Andrzejczyk, Tomasz Muszynski, Przemyslaw Kozak,” Experimental investigation of heat transfer enhancement in straight
and Ubend double-pipe heat exchanger with wire insert”, Chemical Engineering & Processing: Process Intensification 136 (2019)
177–190.
2. Wei Wang, Yaning Zhang, Kwan-Soo Lee, Bingxi Li “Optimal design of a double pipe heat exchanger based on the outward
helically corrugated tube”, International Journal of Heat and Mass Transfer 135 (2019) 706–716
3. Antonio C. Caputo, Pacifico M. Pelagagge, Paolo Salini ‘Heat Exchanger Optimized Design Compared With Installed Industrial
Solutions’, Applied Thermal Engineering (2015), Vol 87, pg.371-380.
4. Kamel Milani Shirvan, Rahmat Ellahi, Soroush Mirzakhanlari, Mojtaba Mamourian.,” Enhancement of Heat Transfer and
Heat Exchanger Effectiveness in a Double Pipe Heat Exchanger Filled with Porous Media: Numerical Simulation and Sensitivity
Analysis of Turbulent Fluid Flow”, Applied Thermal Engineering (2016)
5. Xue Chen, Chuang Sun, Xinlin Xia, Rongqiang Liu , Fuqiang Wang,” Conjugated heat transfer analysis of a foam filled double -
pipe heat exchanger for high-temperature application”, International Journal of Heat and Mass Transfer 134 (2019) 1003–1013.
6. Seyed Shahab Mozafarie, Kourosh JavaherdehAmine Allouhi,“ Numerical design and heat transfer analysis of a non -Newtonian
fluid flow for annulus with helical fins”, Engineering Science and Technology, an International Journal xxx (2019) xxx
7. Cheng-Hung Huang ‘The Design of Uniform Tube Flow Rates for Z- Type Compact Parallel Flow Heat Exchangers’, Chun-
Hsien Wang International Journal of Heat and Mass Transfer, (2013) Vol 57, pg.608–622.
8. D. Han, W.F. He, F.Z. Asif ‘Experimental Study of Heat Transfer Enhancement Using Nanofluid In Double Tube Heat
Exchanger’, (2017) Vol 142, pg.2547–2553.
9. Hebert Lugo-Granados, Martín PicónNúñez ‘Modelling Scaling Growth in Heat Transfer Surfaces and Its Application on
the Design of Heat Exchangers’, Energy (2018), Volume 160, 1 October 2018, Pages 845-854
10. Muhammad Saeed, Man-Hoe Kim ‘Heat Transfer Enhancement Using Nanofluids (Al2O3-H2O) In Mini Channel Heat
Sinks’, International Journal of Heat and Mass Transfer, (2018),Vol 120, pg.671–682.
11. N. Piroozfam, A. Hosseinpour Shafaghi ‘Numerical Investigation of Three Methods for Improving Heat Transfer In Counter-
Flow Heat Exchangers’, S.E. Razavi International Journal of Thermal Sciences, (2018) Vol 133, pg.230–239.
12. Olga Arsenyeva, Julian Tran, Mark Piper, Eugeny Kenig ‘An Approach for Pillow Plate Heat Exchangers Design for
Single-Phase Applications’, Applied Thermal Engineering, (2018).
13. Robert J. Kee, Berkeley B. Almand, Justin M. Blasi, Benjamin L. Rosen, Marco Hartmann, Neal P. Sullivan, Huayang
Zhu‘The Design, Fabrication, and Evaluation of A Ceramic Counter-Flow Micro Channel Heat Exchanger’, Applied
Thermal Engineering, (2011) Vol 31.
14. Sandip K. Saha, Martine Baelmans ‘A Design Method for Rectangular Micro Channel Counter- Flow Heat
Exchangers, International Journal of Heat and Mass Transfer, (2014) Vol 74, pg.1–12.
15. Somei Hayashia, Kitipat Siemanonda ‘Compact and Multi-Stream Heat Exchanger Design’, Computer Aided Chemical
engineering, (2018) Vol 43, pg.663-668.
16. Kexin Xu, Robin Smith, Nan Zhang‘Design and Optimization of Plate Heat Exchanger Networks’ Computer Aided
Chemical Engineeirng, (2018)Volume 40, 2017, Pages 1819-1824
17. Rajendran Senthilkumar, Sethuramalingam Prabhu, Marimuthu Cheralathan Experimental,‘Investigation on Carbon Nano
Tubes Coated Brass Rectangular Extended Surfaces’, Applied Thermal Engineering, (2013), Vol 50.
18. Mohammad Hadi, Haj Mohammad, Mohammad Reza, Hassani Ahangar, Mohammad Hemmat Esfe, Ali Alirezaie,‘Price-
Performance Evaluation of Thermal Conductivity Enhancement of Nanofluids with Different Particle Sizes’, Applied Thermal
Engineering, (2017).
19. Muhammad Mahmood, Aslam Bhutta, Nasir Hayat, Muhammad Hassan Bash, Ahmer Rais Khan, Kanwar Naveed Ahmad,
Sarfaraz Khan,‘CFD applications in various heat exchangers design’, Applied Thermal Engineering, (2012),Vol 32, pg. 1 -12.
20. Kamel Milani Shirvan, Rahmat Ellahi, Soroush Mirzakhanlari, Mojtaba Mamourian, ‘Enhancement of Heat Transfer and
Heat Exchanger Effectiveness in a Double Pipe Heat Exchanger Filled with Porous Media: Numerical Simulation and Sensitivity
Analysis of Turbulent Fluid Flow’, Applied Thermal Engineering, (2016).
21. Anas El Maakoul, Azzeddine Laknizi, Said Saadeddine, Abdellatif Ben Abdellah, Mohamed Meziane, Mustapha El Metoui
(2017) ‘Numerical design and investigation of heat transfer enhancement and performance for an annulus with continuous
helical baffles in a double-pipe heat exchanger’, Energy Conversion, (2017) , Vol 133, pg. 76 -86.
22. Saud Ghani, Seifelislam Mahmoud Ahmad Gamaledin, Mohammed Mohammed Rashwan, Muataz Ali Atieh ‘Experimental
Investigation of Double-Pipe Heat Exchangers in Air Conditioning Applications Experimental Investigation of Double-Pipe Heat
Exchangers in Air Conditioning Applications.
23. John M. Gorman, Kevin R. Krautbauer, Ephraim M. Sparrow ‘Thermal and Fluid Flow First-Principles Numerical Design of an
Enhanced Double Pipe Heat Exchanger, Applied Thermal Engineering, 2015.
24. Zhan Liu, Yanzhong Li, Ke Zhou, ‘Thermal analysis of double-pipe heat exchanger in thermodynamic vent System’, Energy
Conversion and Management, (2016), Vol 126, pg. 837–849.
25. Mohamad Omidi, Mousa Farhadi, Mohamad Jafari, ‘A comprehensive review on double pipe heat exchangers’, Applied Thermal
Engineering, (2017), Vol 110, pg. 1075–1090.
26. X.Y. Sun, Y.J. Dai, T.S. Ge, Y. Zhao, R.Z. Wang ,‘Comparison of performance characteristics of desiccant coated
air- water heat exchanger with conventional air-water heat exchanger - experimental and analytical investigation, (2017).
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Authors:
M. Raja, S. Dhanasekaran, C. Bala Subramanian
Paper Title: Contactless Detection of Heartbeat and Cardiopulmonary Modeling using Vector Analyzer
Abstract: Now a days, Modern world makes it difficult for some individuals to care for their health. Urban air
pollution, employment pressure, and an uneven diet increase a person's likelihood of being infected. In practice,
until serious things, some of the infections would not provoke any symptoms. Heart rate (HR) is a measure of
physiological activity. This article introduces contactless heartbeat detection and cardiopulmonary modeling.
Our suggested microwave system uses a vector network analyzer to demonstrate the potential to detect the
heartbeat signal at distinguishable frequency ranges and at distinct output energy concentrations. The model
comprising the heartbeat and breathing signals are provided based on variables obtained from actual
measurements. To separate the heartbeat and breathing signals, various processing methods are used. For
separate signal-to noise ratios, wavelet filters possess greater accuracy over standard filters in order to determine
heart rate and heart rate variation.
Paper Title: Major Big Data Challenges in Most Industries and Innovative Solutions
Abstract: The term “Big data” refers to “the high volume of data sets that are relatively complex in nature
and having challenges in processing and analyzing the data using conventional database management tools”. In
the digital universe, the data volume and variety that, we deal today have grown-up massively from different
sources such as Business Informatics, Social-Media Networks, Images from High Definition TV, data from
Mobile Networks, Banking data from ATM Machines, Genomics and GPS Trails, Telemetry from automobiles,
Meteorology, Financial market data etc. Data Scientists confirm that 80% of the data that we have gathered
today are in unstructured format, i.e. in the form of images, pixel data, Videos, geo-spatial data, PDF files etc.
Because of the massive growth of data and its different formats, organizations are having multiple challenges in
capturing, storing, mining, analyzing, and visualizing the Big data. This paper aims to exemplify the key
challenges faced by most organizations and the significance of implementing the emerging Big data techniques
for effective extraction of business intelligence to make better and faster decisions.
97.
Keyword: Big Data, Hadoop, HDFS, MapReduce, No-SQL
424-428
References:
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Sakthivel Sankaran, Vishnuvarthanan Govindaraj, M Pallikonda Rajasekaran, Mohamed Mydeen
Authors:
Mohamed Mansoor, Javith Rasha Askar, Abinaya Srinivasan
Design and Development of the Novel Technology for the Treatment of Patients with the Acute and
Paper Title:
Chronic Renal Failure
Abstract: Kidney failure is a condition where the function of kidney gets disabled. In order to sustain in life,
dialysis is predominantly adopted. The dialysis is a technical replacement of function of kidney and it is of two
types. In considering the long term blood filtering process, the hemodialysis will be an efficient device in
replacing the renal functioning but it was currently performed in the stationary mode. In order to fulfill the life
supporting requirement, the “Miniaturized portable hemodialysis” device has been introduced which will be
portable than the conventional ones. In order to enhance their features, the chambered dialysate technology and
the specialized filtering mechanism has been fabricated to this project device. In the process of rectifying the
technical errors, sensor indications are implemented for safety measures. In focusing towards the portable
98. mechanism, the battery backup has been applied in this device which can perform patient dialysis in transferable
mode.
429-434
Keyword: Miniaturization, portable, transportable, sensors, hemodialysis.
References:
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10.1038/nrneph.2015.85.
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3. Rajnish mehrota et. al., The current state of peritoneal dialysis 2016 Doi: 10.1681/ASN.2016010112.
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Doi: 10.1186/s12882-016-0324-5.
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therapy Doi: 10.5935/0103-507x.20160026.
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hemodialysis in elderly Doi: 10.1016/j.kint.2017.01.013.
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in Chronic Kidney Disease (CKD) 2018 Doi: 10.3390/tonins10060237.
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10.1080/17434440.2018.1465817.
19. Wolfgang bieser and Markus welsch Effectiveness of a New Single‐Needle Single‐Pump Dialysis System with Simultaneous
Monitoring of Dialysis Dose Doi: 10.1111/aor.13149.
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life in end-stage renal disease patient Doi: 10.390/Healthcare5030052.
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Management of Chronic Renal Failure Doi: 10.7759/cureus.1603.
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percutaneous transhepatic gallbladder drainage for acute severe pancreatitis: a retrospective study Doi:10.1159/000485437.
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Rajajeyaganthan Ramanathan, Albin Aloysius, Auxilia Christy, Noreen Anthony, Gangadhara
Authors:
Angajala
Paper Title: Calcium D-Pantothenate as Green Corrosion Inhibitor on Mild Steel in 240 ppm NaCl Solution
Abstract: Corrosion inhibition of mild steel in 240 ppm NaCl solution using Calcium D-Pantothenate
(Vitamin B5) as corrosion inhibitor is studied using electrochemical impedance, potentiodynamic polarization
and weight loss studies. From the potentiodynamic polarization studies, icorr (corrosion current density)
decreases with increasing the concentration of vitamin B5(VB5). The CR (corrosion rate) decreases and the IE
(inhibition efficiency) of VB5 increases on increasing the concentration of VB5.Surface investigation using
SEM, EDX spectra, UV-Vis, FTIR, electrochemical impedance, potentiodynamic polarization and adsorption
isotherm parameter of VB5in 240 ppm NaCl solution shows that VB5 can act asworthy corrosion inhibitors.
Quantum chemical data obtained from density functional theory (DFT) calculations also agreed with the
experimental outcomes.
Keyword: Pantothenic acid, Electrochemical impedance spectroscopy, Vitamin B5, Mild steel,
99. Potentiodynamic polarization
References:
1. Szklarska-Smialowska, Z. and J. Mankowski, Crevice corrosion of stainless steels in sodium chloride solution. Corrosion 435-442
Science, 1978. 18(11): p. 953-960.
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medium. Desalination, 2008. 229(1–3): p. 279-293.
4. Albin Aloysius, A., Rajajeyaganthan Ramanathan, R.,Auxilia Christy, R., Sambath Baskaran, Noreen Anthony, Experimental and
theoretical studies on the corrosion inhibition of vitamins – Thiamine hydrochloride or biotin in corrosion of mild steel in
aqueous chloride environment. Egyptian Journal of Petroleum, 2018. 27: p. 371-381. http://dx.doi.org/10.1016/j.ejpe.2017.06.003
5. Malhotra, S. and G. Singh, Vitamins: potential inhibitors for nickel in acidic media. Surface Engineering, 2005. 21(3): p. 18 7-
192.
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acids. Acta 51, 4182 (2006)
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dodecylbenzenesulphonate and hexamethylenetetramine. Corros. Sci. 45, 1473 (2003)
8. Singh, A.K. and M.A. Quraishi, Investigation of adsorption of isoniazid derivatives at carbon steel/hydrochloric acid interfa ce:
Electrochemical and weight loss methods. Materials Chemistry and Physics, 2010. 123(2–3): p. 666-677.
9. Umoren, S.A., et al., Inhibition of carbon steel corrosion in H2SO4 solution by coconut coir dust extract obtained from diffe rent
solvent systems and synergistic effect of iodide ions: Ethanol and acetone extracts. Journal of Environmental Chemical
Engineering, 2014. 2(2): p. 1048-1060.
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Christopher J. Schofield., Stereoselective Preparation of Lipidated Carboxymethyl-proline and Pipecolic acid Derivatives via
Coupling of Engineered Crotonases with Alkylmalonyl-CoA Synthetases. Electronic Supplementary Material (ESI) for Organic
& Biomolecular Chemistry, 2013. 47(2): p. 8153-8284.
11. Masayuki Nara, Hajime Torii, and Mitsuo Tasumi., Correlation between the Vibrational Frequencies of the Carboxylate Group
and the Types of Its Coordination to a Metal Ion: An ab Initio Molecular Orbital Study. J. Phys. Chem, 1996. 100: p. 19812 -
19817.
12. Pandurang D. Pol, Chandrashekar P. Kathari and Sharanappa T. Nandibewoor., Kinetics of oxidative degradation of pantothenic
acid by cerium(IV)in aqueous perchloric acid. Transition Metal Chemistry, 2002. 27: p. 807-812.
13. Pei Chen . Wayne R. Wolf, LC/UV/MS-MRM for the simultaneous determinationof water-soluble vitamins in multi-vitamin
dietary supplements. Anal Bioanal Chem, 2007. 387: p. 2441-2448.
14. Zhang, F., et al., Performance and theoretical study on corrosion inhibition of 2-(4-pyridyl)-benzimidazole for carbon steel in
hydrochloric acid. Corrosion Science, 2012. 61: p. 1-9.
Authors: P. Ramakrishnan
Authors: G. Thamaraiselvi
A Gap Analysis on Awareness and Utilization of Social Media Banking – The New Line of Self
Paper Title:
Service Banking
Abstract: Today the scenario has changed from geographically-based community to electronically- based
one. For all kinds of banking transactions, the users of social media can be very well targeted. In Internet
Banking, there are three basic kinds like informational level, communicative level and finally the transactional
level. All the banks in India have already gone through the first two levels and all of them are in the transactional
level as far as the Net Banking is concerned. This study stepped to know the gap between the awareness and
utilisation of social media banking services. It is found that there is a wide gap between the awareness and
utilisation of various services of Social Media Banking by the users.
103. Keyword: Internet Banking, Social Media Banking, Awareness and Utilisation, Electronic Banking, Gap
Analysis
456-459
References:
1. G Carman, J.M. (1990), “Consumer perceptions of service quality: An assessment of the SERVQUAL dimensions”, journal of
Retailing, Vol.66 No.1, pp.33-55.
2. Cronin, J.J. and Taylor, S.A. (1992), “Measuring Service Quality: A Reexamination and Extension”, journal of Marketing , Vol.
56, No. 3, pp. 55-68.
3. Rani Malika (2012), “A Study on the Customer Perception towards E-Banking in Ferozepur District”, International Journal of
Multidisciplinary Research, Volume 2, Issue 1, January, 2012.
4. Sudhagar (2012), “A Study on Perception and Awareness on Credit Cards among Bank Customers in Krishnagiri District”, IOSR
Journal of Business and Management, Vol. 2, No. 3, pp. 14-23, July-Aug 2012.
5. Mahmood Zaigham (2009), “Attitudes towards the Use of E-Banking: Result of a Pilot Survey”, Communications of the IBIMA,
Volume 8, 2009 ISSN: 1943- 7765.
6. Gronroos, C. (1984), “A ServiceQuality Model and its Marketing Implications”, European Journal of Marketing, Vol. 18, Iss. 4,
pp. 36-44.
Authors: G. Thamaraiselvi
105. Abstract: Traditional marketing, sellers meet the difficulty to reach a wide of customers in world wide.
Now it was changed, there is an easy way to reach the customer is internet. Both buyers and sellers from world
meet together and exchange their products at minimum of amount. It is an ease way of marketing. The aim of 464-467
this study is to study customers’ preference towards online websites and also preferred products to shop online
and also to identify the satisfaction level of customers towards online shopping. In case of eatables, people don’t
want to take risk regarding their health. Likewise, they don’t have much interest to buy vegetables from online
compared with offline shopping. This is due to lack of bargaining of price. Most of the online shoppers
dissatisfied with the privacy of data due to some recent issues. These are lessons to the online service providers
to create awareness among people about their business. It helps to motivate them to buy from their websites.
Moreover, people also should more conscious while shopping.
Keyword: Online Marketing, Online Shopping, Electronic Marketing, Customers’ Satisfaction, Online
Websites
References:
1. Kaur, Parminder, and Ashutosh Pathak. "E-marketing-a global perspective." International Journal of Engineering Research and
Applications 5.2 (2015): 116-124.
2. Alawneh, Ali, Hasan Al-Refai, and Khaldoun Batiha. "Measuring user satisfaction from e-Government services: Lessons from
Jordan." Government Information Quarterly 30.3 (2013): 277-288
3. Eid, Mustafa I. "Determinants of e-commerce customer satisfaction, trust, and loyalty in Saudi Arabia." Journal of electronic
commerce research 12.1 (2011): 78.Eid, Mustafa I. "Determinants of e-commerce customer satisfaction, trust, and loyalty in
Saudi Arabia." Journal of electronic commerce research 12.1 (2011): 78.
4. Matikiti, Rosemary, Bola Afolabi, and Wilhelmina Smith. "An empirical evidence on the usage of internet marketing in the
hospitality sector in an emerging economy and its relationship to profitability." International Review of Social Sciences and
Humanities 4.1 (2012): 181-197.
Authors: P.Ramakrishnan
Paper Title: Expectation of Online and Offline Shopping and its Impact towards Customer Purchase Intention
Abstract: In this digital era the people are fulfilling and satisfying their needs and wants by various modes of
purchase process. The technological growth has made Man move towards simple and innovative way for
choosing their basic needs in the market. Enormous numbers of choices are available in the market for
customers, specially, offline and online shopping. All the industries have been developing the marketing strategy
in an innovative way and also strategy of approaching customer for their business growth. After the growth of
internet, most of the ecommerce businesses have developed in the market. Even offline shopping channels have
also changed their pattern of marketing their products and services. In this article we are briefly analyzing about
the factors influencing the online and offline shopping and purchase intention of customer. The expectation of
online and offline shopping customers are analyzed for identifying the factors influencing the customer which
makes them to take decision towards their shopping.
Paper Title: Examining Driving Forces of SHRM Practices Promoting Organisation Effectiveness
Abstract: The aim of this study is to find out the factors underlying a SHRM practice which promotes
organization effectiveness by studying the implication and existence of SHRM practices in the firm and
analyzing the impact of HR strategy on achieving organizational effectiveness in the firm. Both primary and
secondary data was used in the process of carrying out the study. In order to collect the primary data, a well-
formulated questionnaire was circulated and personal interviews were carried out with the employees in the firm.
Secondary data was collected from the firm’s employee manual, HRM reports, and HR journals. All the 30
(sample size) officials from top management and few line managers from the firm (stationed at Tuticorin) are the
109. respondents for the study. Judgmental sampling was used. Percentage and Correlation method was used for the
analysis. Forty-three percent employees feel that the CSR activities carried out in the firm has been influenced
by the incorporation of SHRM in the management. More attention can be given on carrying out CSR activities 485-487
effectively. Job rotation and flexible schedules can be carried out to improve the employees’ progress. The
management should ensure that the functional managers should work in close co-ordination with the HR
managers rather than allowing it to work isolated. This will ensure that, the HR practices are carried out without
deviating from the HRM policy of the company.
Keyword: Regional Rural Banks, Growth Pattern, Financial Performance, Key Performance Indicators,
Rural Areas, NABARD.
110.
References:
1. Ahmed, J.U. (2014). The efficacy and working of regional rural banks: an implication in Indian context. International Journal of
Banking, Risk and Insurance, 2(1), 18-29.
488-491
2. Dhanraj, N. & Saikumar, R. (2016). Performance evaluation of regional rural banks with reference to Telengana Gramina bank,
Hyderabad. International Journal of Research in Regional Studies, Law, Social Sciences, Journalism and Management Practices,
1(10), 109-117.
3. Geetha, R.S. (2016). Performance evaluation of regional rural banks with reference to Krishna Pragathi Gramina bank, Shimogga
district. IOSR Journal of Business and Management, 18(1), 42-56.
4. Ibrahim, M.S. (2010). Performance evaluation of regional rural banks in India. International Business Research, 3(4), 203-211.
5. Jayaramaiah, N., Anand. M.B. & Ramesh, H. (2013). Rural banking strategies for inclusive growth with special reference to rural
Karnataka. Acme Intellects International Journal of Research in Management, 1(1), 1-17
6. Jha, B. K. (2008). Role of banking service in rural entrepreneurship (a case study of Sultanpur district, Uttar Pradesh). Banking
Finance, 9-12
7. Khankhoje, D. & Sathye, M. (2008). Efficiency of rural banks: the case of India. International Business Research, 1(2), 140-149.
8. Lodha, G. & Trivedi, L.V. (2015). NABARD: A financial inclusion through regional rural banks (RRBs). International Journal of
Research in Business Management, 3(10), 77-82.
9. Megha, V. & Bhatia, A. (2013). Performance evaluation of regional rural banks in India during pre and post amalgamation period.
Abhigyan, 30(4), 40-55.
10. Soni, A.K. & Kapre, A. (2012). Performance evaluation of regional rural banks in India. Journal of Research in Commerce &
Management, 1(11), 132-145.
Authors: P. Nagalakshmi
Paper Title: Consumer’s Perception towards Online Shopping- A Special Reference to Chennai
Abstract: Over the last decade the online shopping is getting more popular across the world. The online
consumers became online shoppers because of its convenient and time savings. It is very easy for them to buy
the products by simply sitting at a home. Online shopping avoid the waiting time in a shop and make a search
for a particular products in a shop. This research work is an attempt to explore the factors that may affect the
attitude of consumers in Chennai towards online shopping. The results revealed four important factors viz.
reason, problem, satisfaction and technology to be deciding factors of online shopping behaviour of consumers
in Chennai.
111.
Keyword: Online Shopping, E-Shopping, Home Shopping, Virtual Shopping, Consumer Behaviuor
References: 492-495
1. Sanjeevkumar&SavitaMaan (2014), “status & scope of online shopping : An interview analysis through literature review”,
international journal of advance research in computer science and management studies, vol.2, issue 12, ISSN: 2321-7782.
WWW.ijarcsms.com.
2. Shaileshpandey et al..(2014), “consumer behaviour towards retails outlets India”, international journal of engineering and
management research, vol.4, issue-2, ISSN NO: 2250-0758, Pp; 228-231. www.ijemr.net
3. Kisanshivajirao Desai (2014), “consumer buying behaviour of cosmetic products in Kolhapur”, vol.1, issue-10, ISSN: 2347-2723.
4. DahiyaRicha (2012), “Impact of demography factors of consumers on online shopping behaviour in India”, journal of
international journal of engineering and management sciences, vol.3 (1), ) (ISSN 2229-600x), Pp: 43-52.
5. SajjadNazir et al(2012), “ Hoe online shopping is affecting consumers buying behaviour in Pakistan? ”, IJCSI international
journal of computer sciences issues, vol.9, issue.3. NO 1,(ISSN: 1694-0814). WWW.IJCSI.org
6. Dr.S.Karthik and S.Muthupandi (2017), “A study on Consumer Behaviour towards online Fashion Products in Virudhunagar
City- College Girls”, World Wide Journal of Multidisciplinary Research and Development, 3(12), 233-236.
Authors: Ramalakshmi Krishnan, Anil Chandrasekaran, Selvarani Mariappan
Developing Conceptual frame work for building Sustainable Organisation through Organisational
Paper Title:
Citizenship Behaviour
Abstract: The study examined the existing literature on Organisational Citizenship Behaviour (OCB) and its
associated variables through social network analysis using Gephi. A sample of 22 recent research articles related
to OCB and the variables and constructs used in those studies have been selected for network analysis to identify
the major influencing variables and to identify possible research gaps to formulate a conceptual model for
further research. GEPHI 0.9.2 and NodeXL graph softwares were used for the network analysis to enable easy
visualisation of the links between the variables. The result shows that OCB and commitment, OCB and Job
satisfaction, OCB and empowerment were most examined however, the most prominent variables altruism,
conscientiousness, sportsmanship that form a part of the OCB have not been used.
Keyword: Organisational Citizenship Behaviour, Work Life Balance, Employee Commitment, Employee
Stisfaction
References:
1. Anindita Bose Guha, Niraj Kishore Chimote. (2012). Exploring The Relationship Between Organizational Commitment,
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Paper Title: Cost Control Methods for Efficient HVAC in Office Building
Abstract: Achieving Energy Efficiency in Office Buildings plays a key role in reducing the Environmental
Impact of Buildings to a larger extent. The Users in the workplace are often affected by the improper design of
HVAC systems. In most of the office buildings the Indoor Environmental conditions were not designed,
controlled and maintained which in turn increases the Energy cost of the buildings. Sustainable Design of
HVAC Systems includes all the mechanical equipments that efficiently controls, monitors and supplies the
Indoor Air. The objective of this paper is to (i) Do a comparative study and analyses the various building
Envelope in office buildings for reducing the Energy Cost in designing HVAC systems in Office buildings using
Ecotect Modelling.(ii) To compare the Energy cost of Water Cooled Screw Chillers and VRF Systems.
114. The above experimentation was held in ELCOT S office building in salem. The findings of this paper revealed
that usage of Porotherm wall construction along with VRF SYSTEMS in office buildings found to be effective
in achieving sustainable HVAC design. 511-515
Keyword: Energy Efficient Building Envelope, HVAC, Water Chiller, VRF(Variable Refrigerant Flow)
References:
1. HVAC systems design handbook/Roger W.Haines, C.Lewis Wilson.
2. HVAC and the Building: Siamese Twins (An integrated design pproach) Hugo Hens - HVAC&R Research - 1995
3. A.K. Mishra, M.G.L.C. Loomans, J.L.M. Hensen, Thermal comfort of heterogeneous and dynamic indoor conditions — An
overview, Building and Environment, Volume 109, 2016
4. D&R International Ltd, 2010 Building Energy Data Book.: U.S Departement of Energy DOE, 2011.
5. Konstantinos D. Patlitzianas, Konstantinos Iatropoulos and John Psarras Haris Doukas, "Intelligent building energy management
system using rule sets," Building and Environment, Oct 2006.
6. Victor M. Zavala, "Real-Time Optimization Strategies for Building
Systems,"2011,http://www.mcs.anl.gov/uploads/cels/papers/APT_70592_Zavala_Paper_071411.pdf.
7. J. Cockroft, S. Conner, J. W. Hand, N. J. Kelly, R. Moore, T. O'Brien, P. Strachan J. A. Clarke, "Simulation-Assisted Control in
Building Energy Management Systems," Energy and Buildings , no. 34, pp. 933-940, 2002.
8. Haris Doukas, Konstantinos D. Patlitzianas, Konstantinos Iatropoulos, and John Psarras, "Intelligent building energy manageme nt
system using rule sets," Building and Environment, vol. 42, pp. 3562–3569, October 2006.
9. Matthias Schuss, Robert Zach, Kristina Orehounig, and Ardeshir Mahdavi, "Emperical Evaluation of a Predictive Simulation-
Based Control Method," in 12th Conference of International Building Performance Simulation Association, Sydney, 2011
10. Lu Lu, Wenjian Cai, Yeng Chai Soh, and Lihua Xie, "Global Optimization for overall HVAC System _ part I Problem
Formulation and Analysis," EnergyConversion and Management, vol. 46, pp. 99–1014, August 2004.
11. A. Pouliezos, G. Stavrakakis, C. Lazos D. Kolokosta, "Predictive Control Techniques for Energy and Indoor Environmental
Quality Management in Buildings," ELSEVIER, no. 44, pp. 1850-1863, 2009.
12. John M. House, Curtis J. Klaassen, Morteza M. Ardehali and Theodore F. Smith Floyd E. Barwig, "The National Building
Controls Information Program," vol. 3, pp. 1-14, 2002
13. M and Smith, T.F. Ardehali, "Literature Review to Identify Existing Case Studies of Controls-Related Energy- Efficiency in
Buildings," Department of Mechanical Engineering, The University of Iowa, Iowa City, Technical Report ME-TFS-01-007 2001
14. R.J. Meador, S. Katipamula and M.R.Brambley D.D. Hatley, "Energy Management and Control System: Desired Capabilities and
Functionality," Pacific Northwest National Laboratory Richland, Washington, Technical Report PNNL-15074, 2005. [Online].
Energy Management and Control
15. Hui Sam C.M. and Joseph C. Lam, 1991, Overall Thermal Transfer Value (OTTV)- a review, Hong Kong Engineering,
September 1991
16. ANSI/ASHRAE/IES Standard 90A-1980, Energy Conservation in New Building Design, American Society of Heating,
Refrigerating and Air-Conditioning Engineers, Atlanta, 1980
17. Hui, S. C. M., (1997), overall thermal transfer value (OTTV): how to improve its control in Hong Kong, In Proc. of the One -day
Symposium on Building, Energy and Environment, 16 October 1997, Hong Kong, pp. 12-1 to 12-11
18. Saidur R., Hasanuzzaman M., Hasan M.M. And Masjuki H.H.,(2009) ‘ Overall Thermal Transfer Value of Residential Buildings
in Malaysia, Journal of Applied Sciences 9(11), 2009, pp. 2130-2136
19. Lam, J.C. and Hui, S.C.M., 1996, A review of building energy standards and implications for Hong Kong, Building Research and
Information, 24(3), pp 131-140
20. Variable Refrigerant Flow Systems By William Goetzler, Member ASHRAE, published in ASHRAE Journal, April 2007. ©
Copyright 2007 American Society of Heating, Refrigerating and Air-Conditioning Engineers, Inc.
21. https://www.elcot.in/it_parks_salem.php
Paper Title: Tactile Ground Surface Indicator –Installation and challenges faced by visually impaired globally
Abstract: Tactile Surfaces are used by visually impaired people globally as an assistive tool for tactile cues
from the environment for their mobility. Tactile Ground Surface Indicators (TGSI) or Tactile Walking Surface
Indicators (TWSI) are used in many countries for visually impaired as a standard tool for enabling a barrier-free
environment. TGSI enable people with all types of visual impairment to wayfind, orient and detect hazard in the
built environment. The purpose of this study is to find the challenges faced by the installation of tactile ground
surface indicators and the challenges faced by visually impaired globally. This paper attempts to review the
relevant literature based on both installations of tactile ground surface indicators and the issues faced by the
visually impaired in many countries. The literature review shows that the visually impaired face challenges of
wayfinding, orientation, and hazard warning in many countries because of the absence of standardized design of
size, texture, color and installation protocol of TGSI. Maintenance and reinstallation of TGSI is an issue in many
countries which causes confusion and discomfort to visually impaired.
Keyword: Orientation, Tactile Ground Surface Indicators, Tactile Walking Surface Indicators, Visually
impaired, Wayfinding
References:
1. “Vision impairment and blindness’. Accessed 1 July 2019. https://www.who.int/news-room/fact-sheets/detail/blindness-and-
115. visual-impairment
2. Bourne RRA, Flaxman SR, Braithwaite T, Cicinelli MV, Das A, Jonas JB, et al.; Vision Loss Expert Group, “Magnitude,
temporal trends, and projections of the global prevalence of blindness and distance and near vision impairment: a systematic
review and meta-analysis,” Lancet Glob Health,5(9):e888–97, Sep 2017. 516-519
3. Antonio Lauria “Tactile pavings and urban places of cultural interest: A Study on detectability of contrasting walking surface
materials,” Journal of Urban Technology, 2017.
4. Josh Grisdale, and Accessible Japan. “How Japanese Inventor of Tenji Blocks Changed the Lives of Millions Around the
World,”. Japan Forward, 27 March 2019.
5. Kin Wai Michael Siu, “Design standard for inclusion: tactile ground surface indicators in China,” Facilities, Vol. 31 Iss 7/8 pp.
314 - 327, 2013.
6. Ardilson Pembuain, Sigit Priyanto, Latif Budi Suparma, “ The evaluation of tactile ground surface indicator condition and
effectiveness on the sidewalk in Yogyakarta City, Indonesia,” IATSS Research, 2019 in press..
7. TomomiMIZUNO,ArisaNISHIDATE,KatsumiTOKUDA,KunijiroARAI, “Installation errors and corrections in tactile ground
surface indicators in Europe, America, Oceania, and Asia,” IATSS RESEARCH Vol.32 No.2, 2008.
8. ISO 23599:2019, “Assistive products for blind and vision impaired persons-Tactile walking surface indicators.”
9. Hisato OHNO, Ayako SUZUKI, Naohiro AKIU, “Measuring methods of luminance contrast between tactile walking surface
indicators and their surrounding or adjacent surfaces at railway stations,” Quarterly Report of RTRI • May 2017
10. Vijaya Prakash R, Taduri S, “Safe navigation for elderly and visually impaired people using adhesive tactile walking surface
indicators in home environment,” Information and Communication Technology for Sustainable Development. Advances in
Intelligent Systems and Computing, vol 933. Springer, June 2019.
11. Fairuzzana Ahamd Padzi, Fuziah Ibrahim, Norashikin Abdul Karim “Incongruent installation of tactile ground surface indicator
toward visual impaired people’s need: Masjid Jamek station,” Procedia - Social and Behavioral Sciences 101 ( 2013 ) 130 – 139.
12. Ståhl, Agneta, Emma Newman, Synneve Dahlin-Ivanoff, Mai Almén, and Susanne Iwarsson. “Detection of warning surfaces in
pedestrian environments: The Importance for Blind People of Kerbs, Depth, and Structure of Tactile Surfaces,” Disability and
Rehabilitation 32, no. 6 (January 2010): 469–82.
13. Øvstedal, Liv Rakel, Terje Lindland, and Inger Marie Lid. “On our way establishing national guidelines on tactile surface
indicators,”. International Congress Series 1282 (September 2005): 1046–50.
14. Øvstedal, Liv Rakel, Inger Marie Lid, and Terje Lindland. “How to evaluate the effectiveness of a tactile surface indicator
System? ,” International Congress Series 1282 (September 2005): 1051–55.
15. Halime Demirkan, “Effectiveness of tactile surface indicators in 'design for all' context,” Open House International. 38. 43 -51.,
2013.
16. C. Thinus-Blanc and F. Gaunet, “Representation of space in blind persons: Vision as a spatial sense?”, Psychological Bulletin,
vol. 121, no. 1, pp. 20–42, 1997.
Keyword: Developing city, Sustainable transportation, energy efficient, quality of life, sustainable
environment
116.
References:
1. The Sustainable Development Goals Report, United Nations Development Programme, 2015
2. Brundland Commission Report, “Our Common Future” 1987 520-522
3. OECD Proceedings, Towards Sustainable Transportation, The Vancouver Conference, 24-27 March, 1996
4. Daly, H.E., 1991. Ecological economics and sustainable development: from concept to policy (No. 1991). World Bank,
Environment Department, Policy and Research Division
5. Litman, Todd and David Burwell (2006), “Issues in Sustainable Transportation,” International Journal of Global Environmental
Issues, Vol. 6, No. 4
6. Moving on Sustainable Transportation (MOST) (1999) Transport Canada
7. Camagni, R., Gibelli, M.C., Rigamonti, P., 2002. Urban mobility and urban form: the social and environmental costs of differe nt
patterns of urban expansion. Ecol. Econ. 40 (2)
8. Jack N. Barkenbus, Eco-driving: An overlooked climate change initiative, Energy Policy 38 (2010) 762–769
9. Sudhakar Yedla, Ram M. Shrestha, Multi-criteria approach for the selection of alterna tive options for environmentally
sustainable transport system in Delhi
10. Christy Mihyeon Jeon and Adjo Amekudzi, Addressing Sustainability in Transportation Systems: Definitions, Indicators, and
Metrics
11. Julian Smith, Edward Clayton, Daniel Hanson, Building sustainable, inclusive transportation systems: A framework for the
future, 2017
Keyword: Traditional urbanism, e-governance, Social inequalities, Smart city, marginal sector, ICT, big data
References:
1. India’s Smart Cities Mission: Smart for Whom? Cities for Whom? [Update 2018], Housing and Land Rights Network, New Delhi,
2018
2. Granier, B., Kudo, H.: How are citizens involved in smart cities?Analysing citizen participation in Japanese Smart Communitie s.
Inf. Polity, 116 (2016).
3. Fusco Girard, L. (2013), Toward a Smart Sustainable Development of Port Cities/Areas: The Role of the “Historic Urban
Landscape” Approach. Sustainability 2013, vol. 5, n 10, pp. 4329-4348.
4. Both, M., Kommers, P., Verhijde, M.: OpenGovEU project: Handbook Best Practices. (2015)
5. Neirotti, P., De Marco, A., Cagliano, A.C., Mangano, G., Scorrano, F.: Current trends in smart city initiatives: Some stylised facts.
Cities. 38, 2536 (2014)
6. Kennedy, R.: E-regulation and the rule of law: Smart government, institutional information infrastructures, and fundamental values.
Inf. Polity. 21, 7798 (2016)
7. Datapolis:A Public Governance Perspective on“Smart Cities”by Albert Meijer, Perspectives on Public Management and
Governance, 2017, Utrecht University
Authors: P. Balamurugan, S. Deepak raja, N. Sesha Sai baba, Ajay Pratap Kushwaha, Md Nasrullah
Paper Title: Optimisation of AWJM Process Parameters for Machining Granite using PCA Methodology
Abstract: In Abrasive water jet machining, abrasive particles along with high pressure water are used to
intrude on the work materials ranges from soft to hard materials using high velocity jet. The process parameters
considered in this research for machining the granite are pressure, standoff-distance and cut quality.
Experimental investigation had been carried out, in order to identify the impact of varying the input machining
parameters on the results like kerf angle, material removal rate and roughness of the machined surface. In this
study, Taguchi’s Multi response technique namely principal component analysis had been used to optimize the
input parameters of the abrasive jet machine to obtain the desired outcome on granite work piece and also to
foresee the best optimal input machining values of abrasive jet machining such as pressure, standoff-distance
and cut quality. For each sequence of Taguchi L9 orthogonal array, sufficient number of experimentations had
been carried out. Then with the help of principal component analysis, optimal process parameters that influence
the granite machining characteristics have identified and to validate the experimentation, confirmation tests also
been carried out with required combinations of array.
Keyword: Silicon carbide, Aluminum alloy 6061,Electric discharge machining, surface hardness.
References:
1. A. Al-Rashed, S. Holecek, M. PrazAk, M. Procio. “Powder metallurgy route in production of aluminium alloy matrix particulate
composites”, Journal de Physique IV, (C7), pp.C7-1821-C7-1823, 1993, 03.
2. 2 Hybrid Aluminium Metal Matrix Composite Reinforced With SiC and TiB2 Johny James.Sa, Venkatesan.Kb, Kuppan.Pc*,
Ramanujam.Rd Procedia Engineering 97 ( 2014 ) 1018 – 1026
3. 3 K.Umanath, Analysis of dry sliding wear Behavior of Al6061/SiC/Al2O3 hybrid metal matrix composites.Material Science
Jounal Bharath University, Chennai, India
4. 4 J.M.Martin, T.omezacebo,And F. Castro , “Sintering behaviour and mechanical properties of PM Al–Zn–Mg–Cu alloy
containing elemental Mg additions” Article in Powder Metallurgy· pp.173-180, July 2002.
120. 5. 5 ChinawadDhadsanadhepl,TachaiLuangvaranunt, Junko Umeda and Katsuyoshi Kondoh. “Fabrication of Al/Al2O3 Composite
by Powder Metallurgy Method from Aluminum and Rice Husk Ash” Journal of Metals, Materials and Minerals. Vol.18 No.2,
pp.99-102, 2008.
6. 6 MortezaEslamian, Joel Rak, Nasser Ashgriz, “Preparation of aluminium /silicon carbide metal matrix composites using
535-538
centrifugal atomization”, Powder Technology, Volume 184,Issue 1, pp 11-20, May 2008.
7. 7 M.Muratoglu,O.Yilmaz, M. Aksoy, “Investigation on diffusion bonding characteristics of aluminium metal matrix composites
(Al/SiCp) with pure aluminum fordifferent heat treatments”, Journal of Materials Processing Technology, pp 211-217, (2006)
8. 8 Dolata-Grosza,J.Sleziona,“Structure and properties of aluminium cast compositesstrengthened by dispersion phases” Journal of
material Processing Technology, Vol 175 ,Issue 1-3, pp 192-197, June 2006.
9. 9 J.DuttaMajumdar, B. Ramesh Chandra, I. Manna, “Friction and wear behavior of laser composite surfacedaluminium with
silicon carbide” Wear, Vol 262 , Issue 5-6, pp 641-648,Feb 2007.
10. 10 Barbara Previtalia,DantePocci b, Cataldo Taccardo. “Application of traditional investment casting processto aluminium
matrix composites” Composites Part-A , Vol 39 , Issue 10, pp 1606-1617, Oct 2008.
11. 11 K.H. Ho, S.T. Newman, State of the art electrical discharge machining (EDM), Int. J. Mach. Tools Manuf. 43 (2003) 1287 –
1300.
12. 12 S. Singh, S. Maheshwari, P.C. Pandey, Some investigations into the electricdischarge machining of hardened tool steel using
different electrodematerials, J. Mater. Process. Technol. 149 (2004) 272–277.
13. 13 S. B. Rayjadhav Development of Aluminum 6061-Sic Composite and It’s use in Manufacturing of Dovetail by Single
Response Optimization of Hardness and Surface Roughness by Taguchi Method in Stir CastingInternational Journal for
Innovative Research in Science & Technology| Volume 2 | Issue 09 | February 2016
14. 14 S. Singh and M.F Yeh., 2016, Optimization of Abrasive Powder Mixed EDM of Aluminium Matrix Composites with
Multiple Responses using Gray Relation Analysis, Journal of Materials Engineering and Performance 21:481–491
15. 15 Erden, A. and S. Bilgin., 1980, Role of impurities in electric discharge machining 21st International Machine Tool Design
and Research Conference, pp. 345-350, Macmillan, London.
16. 16 Hu, F. Q., F.Y Cao, B.Y Song, P.J Hou, Y Zhang, K Chen, J.Q Wei., 2016, Surface properties of SiCp/Al composite by
powdermixed EDM, Procedia CIRP, Vol.6 101 – 106
17. 17 S.Bharani kumar & Arul S , Examination on surface roughness in EDM of aluminium 6061 reinforced with 5% SiC using
design experiments, Applied Mechanics and Materials, Trans Tech Publications, Vol 813- 814 (2015),526-530.
18. 18 S.Bharani kumar & Arul S , Influence of silicon carbide particle addition in the aluminum (Al6061) Composite on EDM
process parameter, Int. Journal. Chemical Science, Sad guru publications,Vol14(4),2016,3157-3166.
19. 19 S.Bharani kumar & Arul S , CienciaeTecnica vitivinicola, A science and Technology Journal.,Vol,XX(n.XX,XX),2019,3157-
3166.
Paper Title: Property Enhancement of Aluminium Based MMCs with Various Reinforcements
Abstract: Aluminium Matrix Composites are used in a wide variety of fields like Aerospace, Marine,
Automotive industries, structural applications, etc. This review paper is concerned with the different Aluminium
alloys with various reinforcements and studies the properties like strength, stiffness, hardness, wear rate and
121. porosity. It mainly aimed at the evolution of Aluminium Matrix composites in the Aviation sector. The need for
better performance, low cost and quite quality materials are upgraded by the latest MMCs and novel
manufacturing processes. With the reinforcements like Silicon Carbide, Boron Carbide, Titanium Oxide, etc. 539-546
improved the mechanical and tribological properties of MMCs. Likewise, the Fabrication Techniques such as
Powder Metallurgy as well as stir casting improved the performance of MMCs.
Keyword: Unidirectional basalt fabric, Tensile strength, ENF (End Notch Flexure), BioChar(BC),.
References:
1. U. Nirmal, B.F.Yousif, D. Rilling, P.V. Brevern, “Effect of betelnut fibres treatment and contact conditions on adhesive wear
and frictional performance of polyester composites” Wear, 268,pp. 1354–1370, 2010.
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3. W. Yan, H.Y. Liu, and Y.W. Mai, “Numerical study of the mode I delamination toughness of z-pinned laminates” Composites
Science and Technology, 63, pp. 1481-1493, 2003.
4. A.G. Castellanos, M.S. Islam, M.A.I. Shuvo, Y. Lin, and P.Prabhakar, “Nanowire reinforcement of woven composites for
enhancing interlaminar fracture toughness” Journal of Sandwich Structures and Materials, 2016, DOI:
10.1177/1099636216650989
5. Hilding, E.A Grulke, Z.G. Zhang, and F. Lockwood, “Dispersion of Carbon Nanotubes in Liquids, Journal of Dispersion Science
and Technology, 24, 1, pp. 1-41, 2003.
6. D.F. Adams, L.A. Carlsson and R.B. Pipes, Experimental characterization of advanced composite materials, Third edition, CRC
Press, 2003.
7. M.S.ShamPrasad, C.S.Venkatesh, T.Jayaraju, “Experimental ppmethods of determining fracture toughness of fiber reinforced
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8. E.S. Greenhalgh, C. Rogers, P. Robinson, “Fractographic observations of delamination growth mechanism” In: 16th International
Conference on Composite Materials, Japan; 2007.
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mixed-mode I/II delamination in CFRP multidirectional laminates” Compos. Sci. Technol, 151, pp. 302–9. 2017.
10. L. Zhao, Y. Gong, T. Qin, S. Mehmood, J. Zhang, “Failure prediction of out-of-plane woven composite joints using cohesive
element” Compos Struct, 106, 407–16, 2013.
11. Y. Gong, L. Zhao, J. Zhang, N. Hu, “An improved power law criterion for the delamination propagation with the effect of large -
scale fiber bridging in composite multidirectional laminates. Compos Struct, 184, 961–8, 2018.
12. J. Tao, C.T. Sun, “ Influence of ply orientation on delamination in composite laminates” J Compos Mater, 32(21),1933–47, 1998
13. Mehdi Yasaeea,et al., “Dynamic mode II delamination in through thickness reinforced composites” In book, Frac. Fatig. Fail.
And Damage. Evaluation, 8, 2017, DOI: 10.1007/978-3-319-42195-7_13.
14. R, Rikards F.G. Buchholz, A.K. Bledzki, et al. “Mode I, Mode II and Mixed-mode I/II interlaminar fracture toughness of GFRP
influenced by fiber surface treatment” Mech. Compos. Mater, 32(5), 1–24, 1996.
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CFRP multidirectional laminates” Compos Sci Technol, 133, 79–88, 2016
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fatigue loading” J Compos Mater, 45(10), 1077–90,2011.
17. C . Uma Maheswari, K. Obi Reddy, E. Muzenda, M. Shukla. A. Varada Rajulu, “Mechanical properties and chemical resistance
of short tamarind fiber/unsaturated polyester composites: Influence of fiber modification and fiber content” International Jo urnal
of Polymer Analysis and Characterization, 18, 520–533. 2013.
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composite” Materials Today Communications, 4, 222–232, 2015.
19. P.S. Sampath, V. Murugesan, M. Sarojadevi, G. Thanigaiyarasu, “Mode I and Mode II Delamination Resistance and Mechanical
Properties of Woven Glass/Epoxy–PU IPN Composites” Polymer composites, 2008, DOI 10.1002/pc.20371.
Authors: I. Siva
Thermal Conductivity and Flammability Analysis on Coconut Sheath Reinforced Polyester
Paper Title:
Composites
Abstract: Thermal conductivity is very important study done for the polymer composites towards
characterizing the application field in recent days. Present work, thermal conductivity along the thickness is
experimented. Flammability for the fabricated composites through accelerated and natural burning is studied and
reported. Composites are prepared under compression for varying reinforcement type. Hybrid composite are
also produced and compared with the properties of the virgin composites.
Paper Title: Erosion Wear Performance of Sheep Wool Fibre Reinforced Polyester Composites
Abstract: This research work focused on erosion performance of sheep wool reinforced polyester
126. composites at varying wt% of fibre content (20 wt%, 30 wt% and 40 wt%). The compression moulding method
is used to develop the composite plate. To investigate the wear rate of the developed composite plates, the
composite plate is subjected to erosion studies. As per ASTM G76 the erosion test was done with the help of air 565-567
jet erosion tester. To investigate the factors of varying wt% of fibre, impingement angle and impact velocity of
the fabricated plates. The erosion behaviour of sheep wool fibre reinforced polyester composites is evaluated at
varying wt% of reinforcement (20 wt%, 30 wt% and 40 wt%) with different impact velocities (41 m/s, 72 m/s
and 100 m/s) and at different impingement angle (30o, 60o and 90o). The standoff distance, time and erodent
discharge rate were kept constant. Alumina oxide is used as erodent material with the size of 50 µm. From the
result, it is observed that increase in impingement angle increase the erosion rates. Another observation is made
that addition to impact velocity, increase in wt% of reinforcement decreases the wear rates.
Keyword: Sheep wool fibre, Polyester resin, Compression moulding, Erosion wear.
References:
1. I. Finnie, Some reflections on the past and future of erosion, Wear; vol. 186, 187(1), pp. 1–10, 1995.
2. G. Sundararajan, M. Roy, Solid particle erosion behaviour of metallic materials at room and elevated temperatures, Tribol Int ,
vol. 30(5), pp. 339–59, 1997.
3. I. Mutlu,C. Oner, F. Findik, Boric acid effect in phenolic composites on tribological properties in brake linings, Mater Des, vol.
28, pp. 480–7, 2007.
4. I. Mutlu,C. Oner, F. Findik, Wear performance of some phenolic composites with boric acid, Ind Lubricat Technol, vol. 59(1),
pp. 38–45, 2007.
5. S. Biswas, A. Satapathy, A study on tribological behavior of alumina-filled glass epoxy composites using Taguchi experimental
design, Tribol Trans, vol. 53, pp. 520–32, 2010.
6. A. Patnaik, A. Satapathy, S.S. Mahapatra, R.R. Dash, Implementation of Taguchi design for erosion of fiber reinforced polyester
composite systems with SiC filler, J Reinf Plast Compos, vol. 27(10), pp. 1093–111, 2008.
7. V.K. Srivastava, A.G. Pawar, Solid particle erosion of glass fiber reinforced flyash filled epoxy resin composites, Compos Sc i
Technol, vol. 66, pp. 3021–8, 2006.
8. M. Cirino, R.B. Pipes, K. Friedrich, The abrasive wear behaviour of continuous fibre polymer composites, J Mater Sci, vol. 22,
2481-2492, 1987.
9. Q.H. Wang, Q.J. Xue, W.M. Liu, J.M. Chen, The friction and wear characteristics of nanometer SiC and PTFE filled PEEK,
Wear, vol. 243, pp. 140-146, 2000.
10. S.S. Mahapatra, A. Patnaik, A. Satapathy, Taguchi method applied to parametric appraisal of erosion behavior of GF-reinforced
polyester composites, Wear, vol. 265, pp. 214–22, 2008.
11. A. Suresh, A.P. Harsha, M.K. Ghosh, Erosion studies of short glass fiber-reinforced thermoplastic composites and prediction of
erosion rate using ANNs, J Reinf Plast Comp, vol. 29(11), pp. 1641–52, 2010.
12. T. Sınmazcelik, I. Taskıran, Erosive wear behaviour of polyphenylenesulphide (PPS) composites, Mater Des, vol. 28, pp. 2471–7,
2007.
13. V.K. Srivastava, Effects of wheat starch on erosive wear of E-glass fiber reinforced epoxy resin composite materials, Mater Sci
Eng A, vol. 435, 436, pp. 282–7, 2006.
P. Balamurugan, M. Uthayakumar, S. Vigneshwaran, H. Akilan, N. Krishnakumar,
Authors:
Vigneshpandikumar
Paper Title: Erosion Analysis on Copper Fly-Ash Composite
Abstract: In the present study, solid particle erosion behaviour on copper – fly ash composite is studied.
Composite with addition of 2.5 (wt.%) fly ash as reinforcement is prepared through powder metallurgy(P/M)
technique. Solid particle erosion studies were carried out by varying the input parameters such as erodent
velocity and erosion time. The results revealed that addition of fly ash reduced the resistance to erosion.
Paper Title: Glass Fiber Hybrid and Stacking Sequence Effects on the Properties of Sisal/Polyester Composite
Abstract: The need for biodegradable materials is the motivation behind studying the hybridization
effect of natural and synthetic fiber composite. In this study six different compositions of sisal and glass are
128. studied. Mechanical properties viz. tensile and bending are evaluated and compared for different compositions.
Glass used at core showed slightly higher tensile strength than at skin. Also, it is found that the flexural strength
is highest for 4 sisal layers at core and glass at skin. Fatigue life evaluation of all glass and all sisal 571-573
composition is also performed which shows better fatigue performance of all glass composition.
Paper Title: Fiber Surface Treatment Effects on Wear andFriction of Luffa/Polyester Composites
Abstract: In this work, the extracted fiber from the luffa plant is used as for making of composite with
unsaturated polyester. As received (UT) and alkali treated fibers(NT) are used for making laminates. All the
composites have been made with an optimal pressure of 50 kg/cm2 with room temperature curing of 12h.
Evicted specimens were cut in to the dimensions as per respective ASTM standard. The surface treatment effects
on the coefficient of friction (CoF) is measured using pin- on-disc wear set-up machine. Results shows that the
impact strength of the composites increased afterward surface treatment. Meantime, the coefficient of friction
also increased in the treated fiber composites. Experiment is conducted for three different sliding velocity for
3000m of abrading distance
Keyword: Set up time stage, optional second stage of service, Restricted admissibility
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and second discretionary administration”, International journal of applied and compu tational mathematics, 4: 97.
https://doi.org/10.1007/s40819-018-0529-3 SPRINGER.
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revamp process in Web Hosting Queuing”, International journal of knowledge management in Travel and hospitality,
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Paper Title: Implementation of Protective Device for Lineman Protection in Real Time Operation
Abstract: this paper is proposed to control an electrical switch with the assistance of OTP based password.
A keypad is associated with the task to enter the secret password. During the electric line fixing Lethal electrical
accidents to the lineman are increasing because of the lack of communication between the linemen working staff
and the electric substation officers. This proposed framework gives an answer, which can guarantee the
wellbeing of the lineman. Since the control to turn on/off lies with the lineman. So there is the arrangement in
the system and a password is required to operate the electrical switch i.e. on and off. The lineman has to carry
the RF-ID tag that will be inserted into RF-ID reader to generate a one-time password. OTP will be received by
the lineman. After inserting correct OTP Lineman will trip the supply and after securely repairing it, again he
can turn the supply for respective phase. A microcontroller from ARDUINO family is used in the framework for
complete operation and control. The microcontroller is interfaced with the matrix keypad to enter the secret one
time password. The entered secret OTP is compared with the password stored in the microcontroller’s Read-only
memory. If OTP matches with the stored one than only electrical switches can be turned on or off otherwise it
will say the wrong password. A light emitting diode is used to intimate the activation and deactivation of the
electrical switch. Because of the use of EEPROM, the user does not have to remember the secret password. The
134.
microcontroller is interfaced with the Global system of mobile (GSM) to monitor the operation by lineman by
the means of SMS. When lineman trip the supply a message will be sent to a higher authority about the
598-602
Activation and deactivation of the electrical switch.
Keyword: Microcontroller, Diodes, RF-ID reader, RF-ID tag, Relays, Crystal, Matrix Keypad, Resistors,
Capacitors, LED, LCD display, Transformer, Relay Driver IC, Voltage Regulator, GSM module
References:
1. Payman Dehghanian, Mladen Kezunovic, "Cost/benefit analysis for circuit breaker maintenance planning and scheduling", North
American Power Symposium (NAPS) 2013, pp. 1-6, 2013.
2. Farzaneh Pourahmadi, Mahmud Fotuhi-Firuzabad, Payman Dehghanian, "Identification of critical components in power systems:
A game theory application", Industry Applications Society Annual Meeting 2016 IEEE, pp. 1-6, 2016.
3. Masoud Asghari Gharakheili, Mahmud Fotuhi-Firuzabad, Payman Dehghanian, "A New Multiattribute Decision Making Support
Tool for Identifying Critical Components in Power Transmission Systems", Systems Journal IEEE, vol. 12, no. 1, pp. 316 -327,
2018.
4. Mohammad Tasdighi, "Inductive FCL's impact on circuit breaker's interruption condition during short-line faults", North
American Power Symposium (NAPS) 2013, pp. 1-5, 2013.
5. Po-Chen Chen, Vuk Malbasa, Mladen Kezunovic, "Sensitivity analysis of voltage sag based fault location algorithm", Power
Systems Computation Conference (PSCC) 2014, pp. 1-7, 2014.
6. Farzaneh Pourahmadi, Mahmud Fotuhi-Firuzabad, Payman Dehghanian, "Application of Game Theory in Reliability-Centered
Maintenance of Electric Power Systems", Industry Applications IEEE Transactions on, vol. 53, no. 2, pp. 936-946, 2017.
7. Jing-Min Wang, Ming-Ta Yang, "Realization of circuit breaker condition-based maintenance using optimal contact wear equation
by the modified NM-PSO algorithm", International Transactions on Electrical Energy Systems, vol. 26, pp. 627, 2016.
8. Hamed Sabouhi, Ali Abbaspour, Mahmud Fotuhi-Firuzabad, Payman Dehghanian, "Reliability modeling and availability analysis
of combined cycle power plants", International Journal of Electrical Power & Energy Systems, vol. 79, pp. 108, 2016.
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13. G. Ramya and N.Balakumar, Effectual and Lossless Electrical Power Generation Methodology using Wind-Lens Technology,
Asian Journal of Applied Science and Technology, Volume 1, Issue 1, Pages 12-17.
14. J.Jasmine Christina and V.Karthikeyan, Design of low power oscillator for medical ultrasonic sensors with CMUT
implementation, Asian Journal of Applied Science and Technology, Volume 1, Issue 1, Pages 68-72.
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16. Muhaad Ali Mazidi and Janice Gillisllispie Mazid, “The Microcontroller and embedded system”, Person Education,2nd
edition,Issue:1999
Keyword: Current Harmonics, DC-link voltage variations , low voltage ride-through (LVRT), Grid –connected
Solar Photovoltaic, total harmonic distortion (THD)
References:
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2. H. Alatrash, R. A. Amarin and C. Lam, "Enabling Large-Scale PV Integration into the Grid," IEEE Green Technologies
Conference, Tulsa, OK, 2012.
137. 3. Aida Fazliana Abdul Kadir, Tamer Khatib, and Wilfried Elmenreich, “Integrating Photovoltaic Systems in Power System: Power
Quality Impacts and Optimal Planning Challenges,” International Journal of Photoenergy, 2014..
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6. Dietmannsberger, Markus, and Detlef Schulz. Ancillary services and dynamic behavior of inverters connected to the low voltage
grid. In 2015 9th International Conference on Compatibility and Power Electronics (CPE), IEEE, 2015, pp. 49-56.
7. Haidar, Ahmed MA, and Norhuzaimin Julai. An improved scheme for enhancing the ride-through capability of grid-connected
photovoltaic systems towards meeting the recent grid codes requirements. Energy for sustainable development,50, 2019,pp. 38-
49,
8. Ntare, Ronald, Nabil H. Abbasy, and Karim HM Youssef. Low Voltage Ride-through Control Capability of a Large Grid
Connected PV System Combining DC Chopper and Current Limiting Techniques. J. Power Energy Eng, 7 ,2019.pp. 62-79
9. Tafti, Hossein Dehghani, Ali Iftekhar Maswood, Georgios Konstantinou, Josep Pou, Karthik Kandasamy, Ziyou Lim, and Gabriel
HP Ooi. The low-voltage ride-thorough capability of photovoltaic grid-connected neutral-point-clamped inverters with
active/reactive power injection. IET Renewable Power Generation 11, no. 8, 2016,pp. 1182-1190
10. Dehghani Tafti, Hossein, Ali Iftekhar Maswood, Georgios Konstantinou, Josep Pou, Karthik Kandasamy, Ziyou Lim, and Gabriel
Heo Peng Ooi. Study on the Low-Voltage Ride-Thorough Capability of
11. Photovoltaic Grid-Connected Neutral-Point-Clamped Inverters with Active/Reactive Power Injection.2016.
12. Du, Yang, Dylan Dah-Chuan Lu, Geoffrey James, and David J. Cornforth. "Modeling and analysis of current harmonic distortion
from grid connected PV inverters under different operating conditions." Solar Energy 94 ,2013,pp 182-194
13. Twining, Erika, and Donald Grahame Holmes.Grid current regulation of a three-phase voltage source inverter with an LCL input
filter.IEEE transactions on power electronics 18, no. 3 888-895, 2003.
14. Abeyasekera, T., Johnson, C.M., Atkinson, D.J., Armstrong, M., Suppression of line voltage related distortion in current
controlled gridconnected inverters. IEEE Trans. Power Electron. 20 (6), 2005, pp.1393–1401
15. Wang, X., Ruan, X., Liu, S., Tse, C.K.. Full feedforward of grid -
voltage for grid-connected inverter with LCL filter to suppress current
distortion due to grid voltage harmonics. IEEE Trans. Power Electron.
25 (12), 2010,pp 3119–3127,
16. Suntio, Teuvo, Jari Leppäaho, Juha Huusari, and Lari Nousiainen. Issues on solar-generator interfacing with current-fed MPP-
tracking converters. IEEE Transactions on Power Electronics 25, no. 9,2010,pp 2409-2419
17. Hu, Haibing, Wisam Al-Hoor, Nasser H. Kutkut, Issa Batarseh, and Z. John Shen. Efficiency improvement of grid-tied inverters
at low input power using pulse-skipping control strategy. IEEE Transactions on Power electronics 25, no. 12,2010, pp.3129-3138.
18. Mohamed, S. Raja, P. Aruna Jeyanthy, D. Devaraj, M. H. Shwehdi, and Adel Aldalbahi. DC-Link Voltage Control of a Grid-
Connected Solar Photovoltaic System for Fault Ride-Through Capability Enhancement. Applied Sciences 9, no. 5 , 2019.
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Keyword: Power Generation, Energy Demand, Renewable Energy Demand, Fuel Generation, Energy Supply.
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the fifth assessment report of the intergovernmental panel on climate change. Geneva (Switzerland): Core Writing Team; 2014.
6. EU Commission. Commission of the European Communities: renewable energy road map: renewable energies in the 21st
century: building a more sustainable future, communication from the commission to the council and the European Parliament
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Press.
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of the 2011 Tohoku Earthquake Tsunami. Coast Eng J (JSCE) 2011;54(1).
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Paper Title: An Optimization Strategy for Sustainable Development of Renewable Energy System
Abstract: The main objective of this paper is to present the detailed information about various renewable
energy sources for creating a technique used for sustainable development. Such kind of technique comprises of
energy saving, increasing energy production and replacing fossil fuels using different renewable energy sources.
It is motivated to include various novel techniques with large-scale renewable energy plants for integrating and
measuring the efficiency of the plants. According to India, this paper discussed about the various problems and
issues associated with converting available energy systems into complete renewable energy system. From the
overall discussion, it is concluded that converting total energy system into renewable energy system is possible.
Also, what are all the requirements, current available resources and future methods to improve the energy system
are discussed. But converting the transport sector into flexible energy system methods is difficult.
Keyword: Renewable energy, Sustainable development,. Particle Swarm Optimization, Reference scenario.
References:
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2. Lund H. Implementation of energy-conservation policies: the case of electric heating conversion in Denmark. Applied Energy
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4. Lior N. Thoughts about future power generation systems and the role of exergy analysis in their development. Energy Convers 629-636
Manage 2002;43(9–12):1187–98..
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2005;33(17):2237–43.
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The small hydro-power case. Renewable Sustainable Energy Rev 2005;9(5):521–34.
15. Kaldellis JK, Vlachou DS, Korbakis G. Techno-economic evaluation of small hydro power plants in Greece: a complete
sensitivity analysis. Energy Policy 2005;33(15):1969–.
Paper Title: Solving Transmission Expansion Planning Problem by Enactmenting Differential Examination
Abstract: At present the power systems involve extensive and composite unified transmission structures,
for substantial issues. It is an extensive, multifaceted and nonlinear problem with multiple solutions to be
estimated upsurges with respect to the size of the system. In this decade, differential evolution (DE) algorithm
141. have been employed by several researchers as it is awfully active in resolving optimization problems. In this
study, TEP problem is considered in static arrangement. Moreover, one of the cases of static TEP problem has
been studied as without generation resizing. DE has attained results with decent exactness, easiness and 637-641
acceptable execution time. The simulations have been executed using MATLAB.
Keyword: AC power flow, Differential Evolution, Garver’s 6 bus system and Transmission Expansion
Planning.
References:
1. N. Alguacil, A. L. Motto and A. J. Conejo, “Transmission expansion planning: A mixed-integer LP approach,” IEEE Trans.
Power Syst., vol. 18, no. 3, pp. 1070– 1077, Aug. 2003.
2. R.Romero, C.Rocha, J.R S. Mantovani and I. G. Sanchez, “Constructive heuristic algorithm for the DC model in network
transmission expansion planning,” IEE Proc. Gener. Transm. Distrib., vol. 152, no. 2, pp. 277-282, Mar. 2005.
3. T. Sum-Im, G. A. Taylor, M. R. Irving and Y. H. Song, “Differential evolution algorithm for static and multistage transmission
expansion planning,” IET Proc. Gener. Transm. Distrib., (Accepted 2009).
4. R. Romero, A. Monticelli, A. Garcia and S. Haffner, “Test systems and mathematical models for transmission network expansion
planning,” IEE Proc. Gener. Transm. Distrib., vol. 149, no.1, pp. 27-36, Jan. 2002.
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pp.1688-1697, Sep./Oct. 1970.
6. S. Haffner, A. Monticelli, A. Garcia, J. Mantovani and R. Romero, “Branch and bound algorithm for transmission system
expansion planning using transportation model,” IEE Proc. Gener. Transm. Distrib., vol. 147, no.3, pp. 149-156, May 2000.
7. S. Haffner, A. Monticelli, A. Garcia and R. Romero, “Specialised branch and bound algorithm for transmission network
expansion planning,” IEE Proc. Gener. Transm. Distrib., vol. 148, no. 5, pp. 482-488, Sep. 2001.
8. T. Sum-Im, G. A. Taylor, M. R. Irving, M. R. and Y. H. Song, “A comparative study of state-of-the-art transmission expansion
planning tools,” in Proc. the 41st International Universities Power Engineering Conference (UPEC 2006), Newcastle upon Tyne,
United Kingdom, pp. 267-271, 6th–8th Sep. 2006.
9. A.Bhuvanesh, S.T.Jaya Christa, S.Kannan, M.Karuppasamypandiyan, “Application of optimization algorithms to generation
expansion planning problem”, Journal of Intelligent & Fuzzy Systems, vol. 35, no. 2, pp. 1387-1398, 2018.
Senthilkumar Natarajan, Vishnuvarthanan Govindaraj, Kannapiran Balasubramanian, Pallikonda
Authors:
Rajasekaran Murugan, Arunprasath Thiyagarajan, Anitha Narayanan, Deny John Samuvel,
Amalgamation of Clustering and Meta-heuristic Optimization Techniques for Automated MR Brain
Paper Title:
Analysis
Abstract: Interest in computer-assisted image analysis in increasing among the radiologist as it provides them
the additional information to take decision and also for better disease diagnosis. Traditionally, MR image is
manually examined by medical practitioner through naked eye for the detection and diagnosis of tumor location,
size, and intensity; these are difficult and not sufficient for accurate analysis and treatment. For this purpose,
there is need for additional automated analysis system for accurate detection of normal and abnormal tumor
region. This paper introduces the new semi-automated image processing method to identify the brain tumor
region in Magnetic Resonance Image (MRI) using c means clustering technique along with meta-heuristic
optimization, based on Jaya optimization algorithm. The resultant performance of the proposed algorithm (FCM
+JA) is examined with the help of key analyzing parameters, MSE-Mean Square Error, PSNR-Peak Signal to
Noise Ratio, DOI-Dice Overlap Index and CPU memory utilization. The experimental results of this method
show better and enhanced tumor region display in reduced computation time.
Keyword: Jaya Algorithm (JA), Tumor detection, Fuzzy C Means Clustering, Meta-heuristic Optimisation.
References:
1. YangMiin-Shen, “Robust-learning fuzzy c-means clustering algorithm with unknown number of clusters,” Pattern Recognition,
vol. 71, pp. 45–59, 2017.
2. Yunjie Chen, Jian Li, Hui Zhang, Yuhui Zheng, Byeungwoo Jeon, and Qingming Jonathan Wu, “Non -local-based spatially
constrained hierarchical fuzzy C-means method for brain magnetic resonance imaging segmentation IET Image Process,” The
Institution of Engineering and Technology, vol. 10, pp. 865–876, 2016.
142. 3. Vishnuvarthanan Govindaraj,Pallikonda Rajasekaran, Murugan, “A complete automated algorithm for segmentation of tissues
and identification of tumor region in T1, T2, and FLAIR brain images using optimization and clustering techniques,” Wiley
Periodicals, vol. 24, pp. 313–325, 2014.
4. Deepak Ranjan Nayak, Ratnakar Dash, and Banshidhar Majhi, “Development of pathological brain detection system using Jaya 642-647
optimized improved extreme learning machine and orthogonal ripplet-II transform,” Springer Science+Business Media, 2017.
5. Suresh Chandra Satapathy, and Venkatesan Rajinikanth, “Jaya Algorithm Guided Procedure to Segment Tumor from Brain
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Authors: Muttu Pandian P., Matheswaran M., Vanitha S., Sivapragasam C.,Naresh K. Sharma
Paper Title: Macroalgae and Activated Sludge Microbes in Treatment of Crepe Cotton Effluent
Abstract: Crepe cotton bandages (textile fabrics) are common household kit in the medical first aid boxes
and are globally used in pharmaceutical and health care units to offer heat, insulation and support in many
medical situations. Southern Tamilnadu comprises of more than 150 crepe bandage textile units and exports
tonnes of crepe cottons. Many units are operated on continuous basis and therefore the amount of wastewater
generated and its treatment is of critical importance. Unlike typical textile effluent, crepe cotton processing
wastewater do not contain dyes, but significant proportions of caustic soda, soda ash, bleaching agents and COD.
This paper discusses the effluent treatment of crepe cotton processing units using mixed cultures of macroalgae
and activated sludge microbes. There are very few studies comparing the performance of activated sludge and
macro algae in wastewater treatment. Fresh water macroalgae was collected from a nearby pond and activated
sludge was collected from the aeration basin of domestic wastewater treatment plant. Crepe cotton processing
effluent had significant concentrations of COD, TDS, TSS and was highly alkaline. The COD removal
efficiency of about 73.8% and 99 % was obtained for macroalgae and activated sludge microbes respectively.
151. COD removal was quick in activated sludge while macroalgae cultures took 144 h to remove 275 mg/L of COD.
This study shows that activated sludge microbes are quick to adapt in uptake of organics from crepe cotton
effluent when compared to macroalgal sp, further studies will provide insights on generating bioenergy from 697-700
algal species grown in crepe cotton effluent for sustained plant operation.
Keyword: Crepe cotton processing wastewater, Macroalgae, Activated sludge, Textile effluent, Nutrients
removal
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Authors: N. Sankara Pandian, B. Siva Prakash, M. Thillai Natarajan, C. Ramalingan, M. Velayutham Pillai
Computational Aspects of (E)-O-CarbomethoxyMethyl Oxime Ether of 1,3-Dimethyl-2,6-
Paper Title:
Diphenylpiperidin-4-One
Abstract: Density Functional Theoretical (DFT) studies on the biologically active oxime ether derived from
1,3-dimethyl-2,6-diphenylpiperidin-4-one has been carried out. Various quantum chemical parameters of the
molecule viz. molecular geometry, Highest Occupied Molecular Orbital – Lowest Unoccupied Molecular Orbital
(HOMO–LUMO) energies, Non-Linear Optical (NLO) properties, Mulliken atomic charge distribution were
obtained theoretically and compared with the single crystal data. An insight into the structure and property
correlation revealed the probable behavior of the molecule studied.
Keyword: About four key words or phrases in alphabetical order, separated by commas.
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Keyword: ATiO3 pervoskites (A = Ca, Sr, Ba & Pb); Band structure and density of states; Refractive index
and ferromagnetism; Tight Binding Linear Muffin-Tin Orbital Method.
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Keyword: Gold nanoparticles, Titania, chemical reduction, glycerol, selective oxidation, size-controlled
synthesis.
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Keyword: Nanosized Titanium dioxide (TiO2), Sol-Gel Method, Anatase, XRD analysis.
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14. Do Kim, K., & Kim, H. T. (2002). Synthesis of titanium dioxide nanoparticles using a continuous reaction method. Colloids
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17. Guo, W., Lin, Z., Wang, X., & Song, G. (2003). Sonochemical synthesis of nanocrystalline TiO2 by hydrolysis of titanium
alkoxides. Microelectronic Engineering, 66(1-4), 95-101.
18. Yang, K., Zhu, J., Zhu, J., Huang, S., Zhu, X., & Ma, G. (2003). Sonochemical synthesis and microstructure investigation of
rod-like nanocrystalline rutile titania. Materials Letters, 57(30), 4639-4642.
19. Xia, X. H., Luo, Y.S., Wang, Z., Liang, Y., Fan, J., Jia, Z.J., & Chen, Z.H. (2007, May). Ultrasonic synthesis and
photocatalytic activity investigation of TiO2 nanoarrays. Materials Letter, 61, 2571-2574.
20. Peng, F., Cai, L., Yu, H., Wang H., & Yang, J. (2008, January) Synthesis and characterization of substitutional and interstitial
nitrogen-doped titanium dioxides with visible light photocatalytic activity. Journal of Solid State Chemistry, 181, 130-136.
21. Pandiyan, R., Micheli, V., Ristic, D., Bartali, R., Pepponi, G., Barozzi, M., & Laidani, N. (2012). Structural and near-infra red
luminescence properties of Nd-doped TiO 2 films deposited by RF sputtering. Journal of Materials Chemistry, 22(42), 22424-
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22. Wang, S., Wu, X., Qin, W., & Jiang, Z. (2007). TiO2 films prepared by micro-plasma oxidation method for dye-sensitized
solar cell. Electrochimica Acta, 53(4), 1883-1889.
23. Corradi, A. B., Bondioli, F., Focher, B., Ferrari, A. M., Grippo, C., Mariani, E., & Villa, C. (2005). Conventional and
microwave‐hydrothermal synthesis of TiO2 nanopowders. Journal of the American Ceramic Society, 88(9), 2639-2641.
24. Hayle, S. T., & Gonfa, G. G. (2014). Synthesis and characterization of titanium oxide nanomaterials using sol-gel method.
American Journal of Nanoscience and Nanotechnology, 2(1), 1-7.
25. Kavitha, M., Gopinathan, C., & Pandi, P. (2013). Synthesis and characterization of TiO2 nanopowders in hydrothermal and
Sol-Gel method. International Journal of Advancements in Research & Technology, 2(4), 102-108.
26. Crişan, M., Brăileanu, A., Răileanu, M., Zaharescu, M., Crişan, D., Drăgan, N., & Hodorogea, S. M. (2008). Sol–gel S-doped
TiO2 materials for environmental protection. Journal of Non-Crystalline Solids, 354(2-9), 705-711.
27. Devi, G. S., Kumar, K. S., & Reddy, K. S. (2015). Effect of pH on synthesis of single-phase titania (TiO2) nanoparticles and
its characterization. Particulate Science and Technology, 33(3), 219-223.
28. Challagulla, S., Nagarjuna, R., Ganesan, R., & Roy, S. (2017). TiO2 synthesized by various routes and its role on
environmental remediation and alternate energy production. Nano-Structures & Nano-Objects, 12, 147-156.
29. Malekshahi Byranvand, M., Nemati Kharat, A., Fatholahi, L., & Malekshahi Beiranvand, Z. (2013). A review on synthesis of
nano-TiO2 via different methods. Journal of nanostructures, 3(1), 1-9.
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Keyword: Photocatalyst, Methylene blue, Rare earth metal, visible light, antibacterial activity
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Ramesh Prakash, Narayanan Selvapalam, Govindaraj Usha, Karuppasamy Karpagalakshmi,
Authors:
Lakshminarayanan Piramuthu
161.
Paper Title: Colorimetric Determination of Amino Acids using Fluorescent Copper Nanoparticle
Abstract: Among the 20 amino acids, cysteine plays a major role in communication of the cells, especially
towards immune system and thus developing sensor for cysteine is very important to understand the status of the
human health. Copper nanoparticles decorated with Rhodamine B (RBCN) have the potential to detect the
biologically important species such as amino acids, especially cysteine. RBCN has been previously has
demonstrated for the sensing of host molecules such as cucurbituril based on the relative binding potential of
rhodamine B on the surface of copper nanoparticles. Based on that concept, now we have developed the sensor
for amino acids, especially for the cysteine
Paper Title: Classification of Student Performance Dataset using Machine Learning Algorithms
Abstract: The scope of this research work is to identify the efficient machine learning algorithm for
predicting the behavior of a student from the student performance dataset. We applied Support Vector Machines,
K-Nearest Neighbor, Decision Tree and Naïve Bayes algorithms to predict the grade of a student and compared
their prediction results in terms of various performance metrics. The students who visited many resources for
reference, made academic related discussions and interactions in the class room, absent for minimum days, cared
162. by parents care have shown great improvement in the final grade. Among the machine learning techniques we
have used, SVM has shown more accuracy in terms of four important attribute. The accuracy rate of SVM after
tuning is 0.80. The KNN and decision tree achieves the accuracy of 0.64, 0.65 respectively whereas the Naïve 752-757
Bayes achieves 0.77.
Keyword: Classification, Decision Tree , KNN , Machine Learning , Naïve Bayes , Student Performance and
SVM,
References:
1. Dorina Kabakchieva ,” Student Performance Prediction by Using Data Mining Classification Algorithms”, International
Journal of Computer Science and Management Research Vol 1 Issue 4 November 2012, ISSN 2278-733X.
2. CH.M.H.Sai Baba, AkhilaGovindu , Mani Krishna Sai Raavi, Venkata Praneeth Somisetty,” Student Performance Analysis
Using Classification Techniques”, International Journal of Pure an Applied Mathematics, Volume 115 No. 6 2017, 1-7.
3. Karunendra Verma, Arjun Singh, Purushottam Verma,” A Review on Predicting Student Performance Using Data Mining
Method”, International Journal OF Current Engineering and Scientific Research (IJCESR), ISSN (Print): 2393-8374,
(Online): 2394-0697, Volume-3, Issue-1, 2016
4. Mashael Al luhaybi, Allan Tucker and Leila Yousefi ,” The Prediction of Student Failure Using Classification Methods: A
Casestudy”, pp. 79–90, 2018. © CS & IT-CSCP 2018
5. Bhavesh Patel , Chetan Gondaliya,” Student Performance Analysis Using Data Mining Technique”, International Journal of
Computer Science and Mobile Computing, Vol.6 Issue.5, May- 2017, pg. 64-71.
6. Edin Osmanbegović , Mirza Suljić ,Data Mining Approach For Predicting Student Performance, Economic Review – Journal
of Economics and Business, Vol. X, Issue 1, May 2012. Citations :155
7. Sajida Perveen, Muhammed Shahbaz, Aziz Guergachi,Karim Keshavjee, “Performance Analysis of Data Mining Classification
Techniques to Predict Diabetes” , Science Direct Elsevier,Vol 82,pages: 1-142,2016.
8. Ahmed Mohamed, Ahmet Rizaner, Ali Hakanulusoy,”Using Data Mining to Predict Instructor Performance” 12 th
international Conference on application of fuzzy systems and soft computing,ICAFS,2016,29-30,Aug 2016,Vienna.
9. K. Maheswari, P. Packia Amutha Priya , "Analysis and Implementation of Text Mining for Different
Documents", International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online
ISSN : 2395-602X, Volume 3, Issue 5, pp.109-113, May-June-2017,URL : http://ijsrst.com/ICASCT2518
10. Dr.K.Maheswari,Ms.P.Packia Amutha Priya “Classification of Twitter Data Set using SVM and KSVM”, Published in
international Journal of Pure and Applied Mathematics, Volume 118 No. 7 2018,PP: 675-680, ISSN: 1311-8080 (printed
version); ISSN: 1314-3395.
11. K.Maheswari,“Improving Accuracy of Sentiment Classification Analysis in twitter Data Set Using knn” published in
International Journal of Research and Analytical Reviews,Vol 5, Issue 1, PP:422-425/E ISSN 2348-1269 Print ISSN 2349-
5138,UGC Approved Journal.
12. Dr.K.Maheswari,Ms.P.Packia Amutha Priya “Predicting Customer Behavior in Online Shopping Using SVM
Classifier”,presented paper in 2017 IEEE International Conference on Intelligent Techniques in
Control, Optimization & Signal Processing, INCOS'17, published in IEEE Xplore , 01 March 2018.
Keyword: Adversarial emulator, Advanced Persistent Threats (APT), cyber kill chain(CKC) ,caledra, cyber-
attack..
References:
1. Yang, Lu-Xing, Pengdeng Li, Xiaofan Yang, Luosheng Wen, Yingbo Wu, and Yuan Yan Tang. "Security evaluation of cyber
networks under advanced persistent threats." arXiv preprint arXiv:1707.03611 (2017).
2. Redondo-Hernández, Alberto, Aitor Couce-Vieira, and Siv Hilde Houmb. "Detection of Advanced Persistent Threats Using
System and Attack Intelligence." (2015): 90-94.
3. Cho, J. H., S. H. O. U. H. U. A. I. Xu, P. Hurley, M. A. T. T. H. E. W. Mackay, T. R. E. V. O. R. Benjamin, and MARK
BEAUMONT. "STRAM: Measuring the trustworthiness of computer-based systems." ACM Computing Surveys (under review).
Google Scholar (2017).
4. Ramos, Alex, Marcella Lazar, Raimir Holanda Filho, and Joel JPC Rodrigues. "Model-Based Quantitative Network Security
163. Metrics: A Survey." IEEE Communications Surveys & Tutorials 19, no. 4 (2017): 2704-2734.
5. Su, Yunfei, Mengjun Lib, Chaojing Tang, and Rongjun Shen. "A Framework of APT Detection Based on Dynamic Analysis."
(2016). 758-765
6. Rot, Artur, and Boguslaw Olszewski. "Advanced Persistent Threats Attacks in Cyberspace. Threats, Vulnerabilities, Methods of
Protection." In In 2017 Federated Conference on Computer Science and Information Systems, vol. 13, pp. 113-117. 2017.
7. John, Jeslin Thomas. "State of the Art Analysis of Defense Techniques against Advanced Persistent Threats." Future Internet (FI)
and Innovative Internet Technologies and Mobile Communication (IITM) Focal Topic: Advanced Persistent Threats 63 (2017).
8. Huy Pham L., Albanese M. and W. Priest B,”. A Quantitative Framework to Model Advanced Persistent Threat”s.In Proceedings
of the 15th International Joint Conference on e-Business and Telecommunications - Volume 1: SECRYPT. (2018), ISBN 978-
989-758-319-3, pages 282-293. DOI: 10.5220/0006872604480459
9. Jin-Hee Cho, Shouhuai Xu, Patrick M. Hurley, Matthew Mackay, Trevor Benjamin, Mark Beaumont. "STRAM", ACM
Computing Surveys, 2019
10. Google dongs(2019) on PenTestIT available on http://pentestit.com/adversary-emulation-tools-list/
11. Azeria-labs 2017.Intro to APT28 & APT30 (2017). https://azeria-labs.com/intro-to-apt28-apt30/
12. Andrew Smith (2017) Cambridge Centre for Risk Studies 2017 Risk
Summit Available on https://www.jbs.cam.ac.uk/fileadmin/ user_upload/research/centres/risk/downloads/170622-slides-
smith.pdf
13. DavidJBianco(2018)Enterprise Detection & Response webpage on The Pyramid of Pain on http://detect-respond.blogspot.com/
2013/03/the-pyramid-of-pain.html
14. An automated adversary emulation system on https://github.com/mitre/caldera(2018)
15. Noor, Umara, Zahid Anwar, Asad Waqar Malik, Sharifullah Khan, and Shahzad Saleem. "A machine learning framework for
investigating data breaches based on semantic analysis of adversary’s attack patterns in threat intelligence repositories." Future
Generation Computer Systems 95 (2019): 467-487.
16. Online browser and desktop app, neo4j, http://localhost:7474/browser/Bloodhound/BloodHoundExample DB graphdb
17. Noor, Umara, Zahid Anwar, and Zahid Rashid. "An Association Rule Mining-Based Framework for Profiling Regularities in
Tactics Techniques and Procedures of Cyber Threat Actors." In 2018 International Conference on Smart Computing and
Electronic Enterprise (ICSCEE), pp. 1-6. IEEE, 2018.
18. Samtani, S., Chinn, R., Chen, H., & Nunamaker, J. F. (2017). Exploring Emerging Hacker Assets and Key Hackers for Proactive
Cyber Threat
Intelligence. Journal of Management Information . Systems, 34(4), 1023–1053. doi:10.1080/07421222.2017.1394049
19. Benjamin, V., and Chen, H. Securing cyberspace: Identifying key actors in cybercriminal communities. In Proceedings of the
IEEE Joint Intelligence and Security Informatics Conference. Washington, DC: IEEE, 2012, pp. 24–29. 9.
20. Benjamin, V.; Zhang, B.; Nunamaker, J.F.; and Chen, H. Examining hacker participation length in cybercriminal Internet-relay-
chat communities. Journal of Management Information Systems, 33, 2 (2016), 482–510. 10.
21. Benjamin, V.; Li, W.; Holt, T.; and Chen, H. Exploring threats and vulnerabilities in hacker web: Forums, IRC and carding
shops. In IEEE International Conference on Intelligence and Security Informatics. Baltimore, MD: IEEE, 2015, pp. 85–90.
22. Holt, T.J. Examining the forces shaping cybercrime markets online. Social Science Computer Review, 31, 2 (2013), 165 –
177(DATASET)
23. Qamar, Sara, Zahid Anwar, Mohammad Ashiqur Rahman, Ehab Al-Shaer, and Bei-Tseng Chu. "Data-driven analytics for cyber-
threat intelligence and information sharing." Computers & Security 67 (2017): 35-58.
24. Noor, Umara, Zahid Anwar, Tehmina Amjad, and Kim-Kwang Raymond Choo. "A machine learning-based FinTech cyber threat
attribution framework using high-level indicators of compromise." Future Generation Computer Systems 96 (2019): 227-242.
25. J. Radianti and J.J. Gonzalez, “A preliminary model of the vulnerability black market,” Society, 2007.
26. Dube, Thomas, Richard Raines, Bert Peterson, Kenneth Bauer, and Steven Rogers. "An investigation of malware type
classification." In International Conference on Cyber Warfare and Security, p. 398. Academic Conferences International Limited,
2010.
27. Fachkha, Claude, and Mourad Debbabi. "Darknet as a source of cyber intelligence: Survey, taxonomy, and characterization."
IEEE Communications Surveys & Tutorials 18, no. 2 (2015): 1197-1227.
28. Bou-Harb, Elias, Mourad Debbabi, and Chadi Assi. "A novel cyber security capability: Inferring Internet-scale infections by
correlating malware and probing activities." Computer Networks 94 (2016): 327-343.
29. Lemay, Antoine, Joan Calvet, François Menet, and José M. Fernandez. "Survey of publicly available reports on advanced
persistent threat actors." Computers & Security 72 (2018): 26-59.
Paper Title: Computer Aided Drug Design for finding a therapeutics for Dengue Virus Targets
Abstract: The dengue epidemic has taken aback the entire world today. It affects millions of people
worldwide sometimes causing severe manifestation, affecting body metabolomics. It’s caused by an arthropod-
bornesingle-stranded RNA virus that has been distributed across the coastal regions of the globe with the advent
of commercialization and trade. There is no effective treatment for dengue till date, but different forms of anti-
viral vaccines are in the process of clinical trials for human use. Computational methods are being developed to
unravel the viral transmission mechanics and evolution. Numerous networking models are being proposed to
understand the phylogeny and inheritance pattern of the virus. Data models are projected in terms of mechanics
or statistics to consider the distribution pattern of dengue in the future. This article talk about dengue virus
targets at its genomics level.Several case scenario of applying CADD tools for finding the lead molecule for
dengue targets were discussed. Advancement in dengue research with recent developments in computational
methods were analyzed. The outcome of the present study suggested advancement in computational approaches
may offer focused development of drugs for dengue.
165. Keyword: Cloud server, file owner, encrypted format, trapdoor, file key.
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Computer Networks (IJCN), vol. 3, Issue 5, (2011).
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International Journal of Advanced Research in Computer Science and Software Engineering , Vol 2, Issue 9, September 2012
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Applications, and Approaches", Department of Computer Science and Computer Engineering, La Trobe University, Australia
31 Accepted 30 May 2012,Available online 6 June 2012.
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11th International Conference on Mobile Systems and Pervasive Computing (MobiSPC-2014).
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Taxonomy, approaches, and open issues ", Simulation Modeling Practice and Theory (2014) Elsevier Ltd.
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and Computer Applications 34 (2011) 1–11, Elsevier Ltd.
15. Zaheer Ahmad, Keith E. Mayes, Song Dong, Kostas Markantonakis, " Con siderations for mobile authentication in the Cloud
information security technical report 1 6 (2011) pp. 123-130, Elsevier Ltd.
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Multi Keyword Search”. In: DeivaSundari P., Dash S., Das S., Panigrahi B. (eds) Proceedings of 2nd International
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Keyword: Deep learning framework, javascript, Bird Swarm Algorithm, Stacked Denoising Auto-encoders
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filter based framework for malware detection," Future Generation Computer Systems, 2014.
20. Alazab M, "Profiling and classifying the behavior of malicious codes," Journal of Systems and Software, vol.100, pp.91–
102, 2015.
21. AL-Taharwa IA, Lee H, Jeng AB, Wu K, Ho C, Chen S, "JSOD: JavaScript obfuscation detector," Security Comm.
Networks, vol.8, pp.1092–1107, 2015.
22. Soska K, Christin N, "Automatically detecting vulnerable websites before they turn malicious," in USENIX Security, pp.
625–640, 2014.
23. Yuxin, D., Wei, D., Yibin, Z. and Chenglong, X., "Malicious code detection using opcode running tree representation," In
proceedings of International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, pp. 616-621, 2014.
24. Canfora, G., Mercaldo, F. and Visaggio, C.A., "Malicious javascript detection by features extraction," e-Informatica
Software Engineering Journal, vol.8, no.1, 2014.
25. Bansal, J.C., Sharma, H., Jadon, S.S. and Clerc, M., "Spider monkey optimization algorithm for numerical optimization,"
Memetic computing, vol.6, no.1, pp.31-47, 2014.
26. Meng, X.B., Gao, X.Z., Lu, L., Liu, Y. and Zhang, H., "A new bio-inspired optimisation algorithm: Bird Swarm
Algorithm," Journal of Experimental & Theoretical Artificial Intelligence, vol.28, no.4, pp.673-687, 2016.
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28. Javascript Malware Collection,” https://github.com/HynekPetrak/javascript-malware collection, Accessed on March 2019.
29. Ibrahim Aljarah, Hossam Faris, Seyedali Mirjalili, Nailah Al-Madi, Alaa Sheta and Majdi Mafarja, “ Evolving neural
networks using bird swarm algorithm for data classification and regression applications”, Journal of Cluster Computing,
Springer, Published on 15 Feb 2019
Keyword: Big Data, Map Reduce, Data Mining, Pre-processing, Time series, Regression.
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Keyword: wireless body area networks; WBAN, fuzzy logic cost-effective technique, threshold-based 807-813
probability theory, fuzzy conditional reasoning; distance, energy efficiency, healthcare technology.
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Paper Title: Effectual Resource Allocation using Auction Mechanism in Cloud Computing
Abstract: Cloud computing(CC) is one of the fastest emerging technology. As we all know, cloud is a wide
pool of resource which provides resources based on the users request. Any service can be provided as a service
through cloud. As the cloud contains many resources, there may also wastage of resources. To reduce this
wastage, cloud providers enter into auctioning of resources when the demand is high. Cloud computing includes
distinct resources. Because of the complementary and supplementary effects between distinct assets, bidders
have preferences not for just a single resource but also for a set of resources. Auctioning for a bundle of
resources is called mergeable auction (MA). Dynamic resource allocation in on demand for a bundle of resource
is proposed by using MA – PROVISION algorithm and the scenarios are simulated using Cloudsim, a simulator
meant for cloud computing analysis.
Keyword: Cloud Computing, Auction, Bid, Dynamic Resource Allocation, Mergeable sale and Cloudsim.
References:
1. Abinandan S. Prasad and ShrishaRao, "A Mechanism Design Approach to Resource Procurement in Cloud Computing",
Proc. IEEE Transactions on Computers, pp. 17-30, 2014.
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173. Man-made consciousness, pp. 379-384,2002.
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4. A. Quiroz, H. Kim, M. Parashar, N. Gnanasambandam, and N. Sharma, "Towards Autonomic Workload Provisioing for
814-819
Enterprise Grids and Clouds," Proc. IEEE/ACM tenth Int'l Conf. Network Computing, pp. 50-57, 2009.
5. A. Das and D. Grosu, "Mergeable Auction-Based Protocols for Resource Allocation in Grids," Proc. nineteenth Int'l Parallel
and Distributed Processing Symp., Sixth Workshop Parallel and Distributed Scientific and Eng. Registering, 2005.
6. D. Lehmann, L. I. Oçallaghan, and Y. Shoham, "Truth Revelation in Approximately Efficient Mergeable Auctions," J. the
ACM, vol. 49, no. 5, pp. 577-602, 2002.
7. P. Cramton, Y. Shoham, and R. Steinberg, Mergeable Auctions.MIT Press, 2005.
8. Rodrigo N. Calheiros, Rajiv Ranjan, Anton Beloglazov, Cesar A. F. De Rose and RajkumarBuyya, "CloudSim: A toolbox
for demonstrating and recreation of distributed computing conditions and assessment of resource provisioning algorithms,"
Proc. Wiley Online Library, 2010.
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Second Int'l Conf. Cloud Comp. Innovation and Science, pp. 127-134, 2010.
10. S. Zaman and D. Grosu, "A Mergeable Auction-Based Mechanism for Dynamic VM Provisioning and Allocation in
Clouds," Proc. IEEE Transactions on Cloud Comp., pp. 129-141, 2013.
11. Sven de Vries and RakeshVohra, "Mergeable Auctions: An overview".
12. YouwenLan, Weiqin Tong, Zongheng Liu, Yan Hou, "Multi-Unit Continuous Double Auction Based Resource Allocation
Method," Int'l Conf. Smart Control and Information Processing, pp. 773-777, 2012.
13. V. Vinothina, Dr. R. Sridaran and Dr.PadmavathiGanapathi, "A Survey on Resource Allocation Startegies in Cloud
Computing," Proc. Int'l Journal of Advanced Computer Science and Application, pp. 97-104, 2012.
14. PeiYun Zhang,Mengchu Zhou,”Dynamic Cloud Task Scheduling Based on a Two-Stage Strategy”,IEEE Transactions on
Automation Science and Engineering,pp.772-783,2018
15. Mian Guo,Quansheng Guan,Wende Ke,”Optimal Scheduling of VMs in Queueing Cloud Computing Systems with a
Hetrogeneous Workload”,IEEE Acesss,pp.15178-15191,2018
16. Xiaolong Liu,Shyan-Ming Yuan,Geo-Heng Luo,Hao-Yu Huang,Paolo Bellavista,”Cloud Resource Management with
Turnaround Time Driven Auto-Scaling”,IEEE Access,pp.9831-9841,2017
Paper Title: Deep Reinforcement Learning Based on Link Prediction Method in Social Network Analysis
Abstract: Improving the performance of link prediction is a significant role in the evaluation of social
network. Link prediction is known as one of the primary purposes for recommended systems, bio information,
and web. Most machine learning methods that depend on SNA model’s metrics use supervised learning to
develop link prediction models. Supervised learning actually needed huge amount of data set to train the model
of link prediction to obtain an optimal level of performance. In few years, Deep Reinforcement Learning (DRL)
has achieved excellent success in various domain such as SNA. In this paper, we present the use of deep
reinforcement learning (DRL) to improve the performance and accuracy of the model for the applied dataset.
The experiment shows that the dataset created by the DRL model through self-play or auto-simulation can be
utilized to improve the link prediction model. We have used three different datasets: JUNANES, MAMBO,
JAKE. Experimental results show that the DRL proposed method provide accuracy of 85% for JUNANES, 87%
for MAMABO, and 78% for JAKE dataset which outperforms the GBM next highest accuracy of 75% for
JUNANES, 79% for MAMBO and 71% for JAKE dataset respectively trained with 2500 iteration and also in
terms of AUC measures as well. The DRL model shows the better efficiency than a traditional machine learning
strategy, such as, Random Forest and the gradient boosting machine (GBM).
Keyword: deep reinforcement learning; social network analysis; gradient boosting machine.
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Paper Title: Accident Prevention and Traffic Pattern Analysis System for Hilly Regions
Abstract: In hilly regions, there will be a number of curves and hairpin bends. The roadway is one of the
175. often-used modes of transport in these regions. Accident rate and death rate in hilly regions are increasing day
by day. The roads in this region will definitely have bends and steep curves; hence, it is difficult to see the
vehicles coming from the opposite side. The proposed system aims in reducing the risk of driving vehicle in the 827-832
terrain region with hairpin bends and steep curves. The deployed controller with ultrasonic sensor senses the
vehicle coming towards the bend and intimates it to the other side of the bend or curve; it gives three stages of
LED alerts to the driver driving the vehicle from the opposite side of the hairpin bend or curve. It also senses the
speed of the vehicle, if the vehicle speed is high, it will alert the drivers through the buzzer. These alerts will
indirectly convey the drivers to slow down the speed of the vehicle. The foremost focus of the proposed system
is to prevent accidents for the drivers and passengers in order to decrease the death rates in hilly regions. This
system also provides a way for analyzing the number of uphill and downhill vehicles in the hill stations by
storing the data in the cloud. The analyzed data is be viewed over the internet through a web application. The
web application serves as a traffic pattern analyzer for people who wish to travel by that road.
Keyword: Accident prevention, Downhill, Hilly regions, Internet of Things- IoT, Traffic pattern, Uphill.
References:
1. Marshall, W. E. (2018). Understanding international road safety disparities: Why is Australia so much safer than the United
States? Accident Analysis & Prevention, 111, 251-265.
2. Dhanya, S., Ameenudeen, P. E., Vasudev, A., Benny, A., & Joy, S. (2018, July). Automated Accident Alert. In 2018
International Conference on Emerging Trends and Innovations In Engineering And Technological Research
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3. Banik, S., Agrawal, S. K., & Singh, N. (2019). Terrain Smart Safety System with Data Hub Establishment. In Innovations
in Computer Science and Engineering (pp. 479-491). Springer, Singapore.
4. Baldassarre, M. T., Caivano, D., Serrano, D., & Stroulia, E. (2018, November). “Smart Traffic”: an IoT traffic monitoring
system based on open source technologies on the cloud. In Proceedings of the 1st ACM SIGSOFT International Workshop
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avoidance in hilly track. In 2014 International Conference on Electronics and Communication Systems (ICECS) (pp. 1-5).
IEEE.
6. Khalil, U., Javid, T., & Nasir, A. (2017, November). Automatic road accident detection techniques: A brief survey. In 2017
International Symposium on Wireless Systems and Networks (ISWSN) (pp. 1-6). IEEE.
7. Aldegheishem, A., Yasmeen, H., Maryam, H., Shah, M., Mehmood, A., Alrajeh, N., & Song, H. (2018). Smart road traffic
accidents reduction strategy based on intelligent transportation systems (tars). Sensors, 18(7), 1983.
8. Hossain, M. Y., & George, F. P. (2018, October). IOT Based Real-Time Drowsy Driving Detection System for the
Prevention of Road Accidents. In 2018 International Conference on Intelligent Informatics and Biomedical Sciences
(ICIIBMS) (Vol. 3, pp. 190-195). IEEE.
9. Khalil, U., Nasir, A., Khan, S. M., Javid, T., Raza, S. A., & Siddiqui, A. (2018, November). Automatic Road Accident
Detection Using Ultrasonic Sensor. In 2018 IEEE 21st International Multi-Topic Conference (INMIC) (pp. 206-212). IEEE.
10. He, W., Yan, G., & Da Xu, L. (2014). Developing vehicular data cloud services in the IoT environment. IEEE Transactions
on Industrial Informatics, 10(2), 1587-1595.
11. Devi, B., Bavatharini, S. S., Samyuktha, G., Shobica, S., & Sonia, E. (2018, March). Voice Alert for Accident Avoidance
on Merging Lanes, Blind Curves and T Junctions. In 2018 Second International Conference on Electronics, Communication
and Aerospace Technology (ICECA) (pp. 418-422). IEEE.
12. Balaji, P. A., Aadhivijay, R., & Sharma, P. D. (2017, August). Hill road safety assistance using piezoelectric sensor. In 2017
International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS) (pp. 2807-2810).
IEEE.
13. Frank, A., Al Aamri, Y. S. K., & Zayegh, A. (2019, January). IoT based Smart Traffic density Control using Image
Processing. In 2019 4th MEC International Conference on Big Data and Smart City (ICBDSC) (pp. 1-4). IEEE.
14. S Nagakishore Bhavanam,Vasujadevi M, “Automatic Speed Control and Accident Avoidance of Vehicle using Multi
Sensors”, International Conference on Innovations in Electronics and Communication Engineering (ICIECE),July 2014.
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detection and notification with smartphones. Mobile Networks and Applications, 16(3), 285-303.
16. B. Fernandes, V. Gomes, J. Ferreira, and A. Oliveira, “Mobile application for automatic accident detection and multimodal
alert,” in 81st Vehicular Technology Conference (VTC Spring),. IEEE, 2015, pp. 1–5.
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Keyword: Locked in State, Mean, Spinal Cord Injury, Brain Computer Interface, Human Computer Interface,
Elman Recurrent Neural Network.
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pp.1-4, 2014.
11. 11.S.Ramkumar, K.Sathesh Kumar, K.Maheswari, P.Packia Amutha Priya,G.Emayavaramban, J.Macklin Abraham Navamani,
"Offline Study For Implementing Human Computer Interface For Elderly Paralyzed Patients Using Electrooculography and
Neural Networks", International Journal of Intelligent Enterprise, 2019.
12. Q.Huang, Y.Chen, Z.Zhang1, S.He, R.Zhang, J.Liu, Y.Zhang, M.Shao and Y.Li, "An EOG-based wheelchair robotic arm
system for assisting patients with severe spinal cord injuries", Journal of Neural Engineering, Vol.16, pp.1-11, 2019.
13. Shao Fang, Ahmed Faeq Hussein, S.Ramkumar, K. S. Dhanalakshm, G.Emayavaramban, “Prospects of Electrooculography in
Human-Computer Interface Based Neural Rehabilitation for Neural Repair Patients”, IEEE Access, Vol.7, pp. 25506-25515,
2019.
14. Q.Huang, S.He, Q.Wang, Z.Gu, N.Peng, K.Li, Y.Zhang, M.Shao, and Y.Li, "An EOG-Based Human-Machine Interface for
Wheelchair Control", IEEE Transactions on Biomedical Engineering",Vol.65(9), pp.2023-2032, 2018.
15. Gu Jialu, S. Ramkumar, G. Emayavaramban, M. Thilagaraj, V. Muneeswaran, M. Pallikonda Rajasekaran, Ahmed Faeq
Hussein, ”Offline Analysis for Designing Electrooculogram Based Human Computer Interface Control for Paralyzed Patients”,
IEEE Access, Vol.6, pp. 79151-79161, 2018.
16. S.He, Y.Li, "A Single-Channel EOG-Based Speller", IEEE Transactions on Neural Systems and Rehabilitation Engineering,
Vol.25(11), pp. 1978 - 1987, 2017.
17. K.R.Lee, W.Chang, S.Kim, C.H.Im, "Real-Time “Eye-Writing” Recognition Using Electrooculogram", IEEE Transactions on
Neural Systems and Rehabilitation Engineering, Vo.25(1), pp.37-48, 2017.
18. N.Barbara, T.A.Camilleri, "Interfacing with a speller using EOG glasses",IEEE International Conference on Systems, Man, and
Cybernetics (SMC), pp.1-6,2016.
19. A.Rakshit, A.Banerjee, D.N.Tibarewala, "Electro-oculogram based digit recognition to design assitive communication system
for speech disabled patients", IEEE-International Conference on Microelectronics, Computing and Communications
(MicroCom), 2016.
20. S.Ramkumar, K.Sathesh Kumar G.Emayavaramban,” Nine states HCI using Electrooculogram and Neural Networks”,
International Journal of Engineering and Technology, Vol. 8(6), pp. 3056-3064, 2017.
21. S.Ramkumar, K.Sathesh Kumar G.Emayavaramban,” EOG Signal Classification Using Neural Network For Human Computer
Interaction” International Journal of Control Theory and Applications, Vol. 9(24), pp. 223-231, 2016.
22. Hema.C.R, Paulraj.M.P & Ramkumar.S,” Classification of Eye Movements Using Electrooculography and Neural Networks”,
International Journal of Human Computer Interaction, Vol.5 (3), pp.51-63, 2014.
23. https://www.statisticshowto.datasciencecentral.com/ sample- mean/
24. https://www.calculator.net/mean-median-mode-range-
25. calculator.html
26. 25.https://www.statisticshowto.datasciencecentral.com/probability-and-statistics/statistics-definitions/mean-median-mode/
27. Hema.C.R, Ramkumar.S Paulraj.M.P,” Identifying Eye Movements Using Neural Networks for Human Computer Interaction”,
International Journal of Computer Application, Vol.105 (8), pp.18-26, 2014.
28. S.Ramkumar, K.Sathesh Kumar G.Emayavaramban,” A Feasibility Study On Eye Movements Using Electrooculogram Based
HCI”, IEEE- International Conference on Intelligent Sustainable Systems, pp.384-388, 2017.
29. S.Ramkumar, G.Emayavaramban, K. Sathesh Kumar, J.MacklinAbraham Navamani, K.Maheswari, P.Packia Amutha Priya,
"Task Identification System for Elderly Paralyzed Patients Using Electrooculography and Neural Networks", EAI International
Conference on Big Data Innovation for Sustainable Cognitive Computing, pp. 151-161, 2020.
30. S.Ramkumar,G.Emayavaramban, J.MacklinAbraham Navamani, R.Renuga Devi, A.Prema, B.Booba “Human Computer
Interface for Neurodegenerative Patients Using Machine Learning Algorithms”, Advances in Computerized Analysis in
Clinical and Medical Imaging , 2019.
31. G.Emayavaramban, S.Ramkumar, A.Amudha and K.Sathesh Kumar, “Classification Of Hand Gestures Using FFNN And
TDNN Networks”, International Journal of Pure and Applied Mathematics, Vol.118(8) Pp. 27-32, 2018.
32. Xin Wan, Kezhong Zhang, S.Ramkumar, J.Deny, G.Emayavaramban, M.Siva Ramkumar, Ahmed Faeq Hussein, "A Review On
Electroencephalogram Based Brain Computer Interface For Elderly Disabled",IEEE Access, Vol.7, pp. 36380-36387, 2019.
33. Li Junwei, S.Ramkumar, G.Emayavaramban, D.Franklin vinod, M.Thilagaraj, V.Muneeswaran , M.Pallikonda Rajasekaran,
V.Venkatraman, Ahmed Faeq Hussein "Brain Computer Interface For Neurodegenerative Person Using Electroencephalogram,
IEEE Access, Vol.7, pp. 2439-2452, 2019.
34. S.Ramkumar,X.Z.Gao, K.Sathesh Kumar, G.Emayavaramban, "Electro-oculogram based rehabilitation using bioengineering
techniques for neural disorder person", Journal of Biomedical Imaging and Bioengineering, Vol.2(2), pp.99-101, 2018.
35. S.Ramkumar , K.Sathesh Kumar, T.Dhiliphan Rajkumar, M.Ilayaraja, K.Sankar, “A review-classification of electrooculogram
based human computer interfaces”, Biomedical Research, 29(6), pp. 1078-1084, 2018.
36. G.Emayavaramban, S.Ramkumar, A.Amudha and K.Sathesh Kumar, “Classification Of Hand Gestures Using FFNN And
TDNN Networks”, International Journal of Pure and Applied Mathematics, Vol.118(8) Pp. 27-32, 2018.
37. LiKai, S.Ramkumar, J.Thimmiaraja, S.Diwakaran, "Optimized artificial neural network based performance analysis of
wheelchair movement for ALS patients", Artificial Intelligence in Medicine, Vol.101, pp.101754, 2019.
38. WenpingTang, AiqunWang, S.Ramkumar, Radeep Krishna RadhakrishnanNair,"Signal identification system for developing
Rehabilittive device using deep learning algorithms", Artificial Intelligence in Medicine, Vol.101, pp.101755, 2019.
179. Authors: Raghini Mohan, Miruna Joe Amali Suthanthira Amalraj, Brindha Subburaj
Paper Title: Analysis of Attack Scenarios in Trust Authentication Protocols
Abstract: The inducing popularity of Wireless Sensor Network (WSN) is more concern with security
factors. Secure communication is essential for demanding applications of WSN. Authentication being the crucial
service due to deployment of nodes in unattended environment, this paper focus on analysis of popular trust
authentication protocols such Trust Aware Routing Framework (TARF), Trust Aware Secure Routing
Framework (TSRF), Trust Based Routing Scheme (TRS), Trust Guaranteed Routing (TGR) and Pair Key Based
Trust Authentication Protocol (PTAP). Their performance is measured in sample simulation environment. To
ensure perfect security in terms of authentication service, analysis of attack scenarios are performed. To
implement this, fake attacks are created and the remaining number of legitimate nodes is measured in presence
of attacks such as Sybil, black hole, replication and tampering. The analysis results in showing how each
protocol withstand with different attack scenarios.
Paper Title: Online Brain Image Repositories for Brain Disease Detection
Abstract: Brain image analysis is an emerging area of researchers to improve the diagnosis process more
fast and accurate. One of the difficulties is getting the clinical dataset of patients from hospitals to test the
performance of the proposed methods. Therefore, numerous online brain image repositories are available to
promote the research works. It has manually segmented results to evaluate the accuracy of the developed
methods. Each repository has different file format and focused on different problems like skull stripping,
tumorous image classification, tumor type categorization, tissue segmentation and tumor with substructure
segmentation. This paper gives detail information on famous brain datasets with their purpose.
Keyword: Brain repositories, brain datasets, brain disease detection, skull stripping, BraTS datasets, WBA
datasets, IBSR datasets
References:
1. Job, D.E., Dickie, D.A., Rodriguez, D., Robson, A., Danso, S., Pernet, C., Bastin, M.E., Boardman, J.P., Murray, A.D., Ahearn ,
T. and Waiter, G.D., 2017. A brain imaging repository of normal structural MRI across the life course: Brain Images of Normal
181. Subjects (BRAINS). NeuroImage, 144, pp.299-304.
2. BRAINS datasets, https://datashare.is.ed.ac.uk/handle/10283/720
3. BraTS2013 datasets https://www.smir.ch/BRATS/Start2013 864-867
4. Myronenko, A., 2018, September. 3D MRI brain tumor segmentation using autoencoder regularization. In International MICCAI
Brainlesion Workshop (pp. 311-320). Springer, Cham.
5. Menze, B.H., Jakab, A., Bauer, S., Kalpathy-Cramer, J., Farahani, K., Kirby, J., Burren, Y., Porz, N., Slotboom, J., Wiest, R. and
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imaging, 34(10), pp.1993-2024.
6. BraTS2015 datasets https://www.smir.ch/BRATS/Start2015
7. FIGShare Dataset, https://figshare.com/articles/brain_tumor_dataset/1512427/5
8. Cheng, J., Huang, W., Cao, S., Yang, R., Yang, W., Yun, Z., Wang, Z. and Feng, Q., 2015. Enhanced performance of brain tumor
classification via tumor region augmentation and partition. PloS one, 10(10), p.e0140381
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at: http://www.cma.mgh.harvard.edu/ibsr/index.html.
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labeling and morphological operations. Computers in biology and medicine, 41(8), pp.716-725.
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13. Kalaiselvi, T., Sriramakrishnan, P. and Somasundaram, K., 2016, December. Brain abnormality detection from MRI of human
head scans using the bilateral symmetry property and histogram similarity measures. In 2016 International Computer Science and
Engineering Conference (ICSEC) (pp. 1-6). IEEE.
Authors: C. Aanandha Subramanian, K. Suthendran, M. Satheesh Kumar
Paper Title: SIM Forensics: Extraction and Preparation of Digital Evidence using Sim Xtractor
Abstract: In each and every mobile phone the SIM card plays a major role in communicating the
information. In a crime if a mobile phone is been taken as the evidence, the first and the foremost thing is to
investigate the SIM card. Though the evolution of smart phone is very rapid without the SIM card the smart
phone is uncertain in communication. The SIM card stores some valuable information like call logs, messages,
contacts etc…. . For extracting those information we need a tool. In this experiment we are using a tool known
as SIMXtractor from CDAC. It is not a open source tool. By using this tool we are able extract those information
from the SIM card.
182.
Keyword: Intrusion Detections System, Software Agents, Application Programming Interface, Software
Defined Networking.
References:
1. XianFeng, Du, and Qiang ZanXia. "A model of intrusion detection system based on aglet with multi-agent." In 2010 International
Conference on Computer Application and System Modeling (ICCASM 2010), vol. 6, pp. V6-232. IEEE, 2010.
2. Huang, Weijian, Yan An, and Wei Du. "A multi-agent-based distributed intrusion detection system." In 2010 3rd international
183.
conference on advanced computer theory and engineering (ICACTE), vol. 3, pp. V3-141. IEEE, 2010.
3. Nadkarni, Ketan, and Amitabh Mishra. "A novel intrusion detection approach for wireless ad hoc networks." In 2004 IEEE 871-874
Wireless Communications and Networking Conference (IEEE Cat. No. 04TH8733), vol. 2, pp. 831-836. IEEE, 2004.
4. Sen, Jaydip. "An intrusion detection architecture for clustered wireless ad hoc networks." In 2010 2nd International Conference
on Computational Intelligence, Communication Systems and Networks, pp. 202-207. IEEE, 2010.
5. Bose, S., S. Bharathimurugan, and A. Kannan. "Multi-layer integrated anomaly intrusion detection system for mobile adhoc
networks." In 2007 International Conference on Signal Processing, Communications and Networking, pp. 360-365. IEEE, 2007.
6. Farhan, A. F., D. Zulkhairi, and M. T. Hatim. "Mobile agent intrusion detection system for mobile ad hoc networks: A non -
overlapping zone approach." In 2008 4th IEEE/IFIP International Conference on Central Asia on Internet, pp. 1-5. IEEE, 2008.
7. Zeng, Xiang, Rajive Bagrodia, and Mario Gerla. "GloMoSim: a library for parallel simulation of large-scale wireless networks."
In Proceedings. Twelfth Workshop on Parallel and Distributed Simulation PADS'98 (Cat. No. 98TB100233), pp. 154-161. IEEE,
1998.
8. Hegazy, Islam M., Taha Al-Arif, Zaki T. Fayed, and Hossam M. Faheem. "A multi-agent based system for intrusion detection."
IEEE Potentials 22, no. 4 (2003): 28-31.
9. Balasubramaniyan, Jai Sundar, Jose Omar Garcia-Fernandez, David Isacoff, Eugene Spafford, and Diego Zamboni. "An
architecture for intrusion detection using autonomous agents." In Proceedings 14th annual computer security applications
conference (Cat. No. 98EX217), pp. 13-24. IEEE, 1998.
10. Mukkamala, Srinivas, and Andrew H. Sung. "Detecting denial of service attacks using support vector machines." In The 12th
IEEE International Conference on Fuzzy Systems, 2003. FUZZ'03., vol. 2, pp. 1231-1236. IEEE, 2003.
11. Farid, Dewan, Jerome Darmont, Nouria Harbi, Huu Hoa Nguyen, and Mohammad Zahidur Rahman. "Adaptive network intrusion
detection learning: attribute selection and classification." 2009.
Authors: Senthil Kumaran. S, Balakannan S. P.
Paper Title: Application of Feature Weighting for the Intensification of Data Classification
Abstract: Classification is the supervised learning technique which is applied in many of the real time
applications. In this study we have considered three classifiers which are widely used and then the intensification
of the classifiers are considered. Among various methods to improve the performance of the classifiers, this
185. research concentrate on the feature weighting techniques applied for the classifiers. This analysis is done based
on the results obtained from the Rapidminer tool. Here we have deployed four feature weighting techniques for
the intensification of the three classifiers. It is tested with three dataset. The experimental environment and the 879-887
results are discussed in detail.
Keyword: Detection Accuracy, Intrusion Detection, Least Degree for K, Node Categorization Algorithm.
References:
186. 1. Ahmed.E, Samad.K, &Mahmood.W, “Cluster-based intrusion detection (CBID) architecture for mobile ad hoc networks”,
In 5th Conference, AusCERT2006 Gold Coast, Australia, May 2006.
2. Bononi.L, &Tacconi.C, “Intrusion detection for secure clustering and routing in mobile multi-hop wireless
networks”, International journal of information security, Vol. 6(6), pp. 379-392, October 2007. 888-895
3. Huang, Y. A., & Lee, W. (2003, October). A cooperative intrusion detection system for ad hoc networks. In Proceedings of the
1st ACM workshop on Security of ad hoc and sensor networks (pp. 135-147). ACM.
4. Kachirski.O, &Guha.R,”Effective intrusion detection using multiple sensors in wireless ad hoc networks”,In 36th Annual
Hawaii In ternational Conference on System Sciences, January 2003.
5. Ping, Y., Xinghao, J., Yue, W., &Ning, L. (2008). Distributed intrusion detection for mobile ad hoc networks. Journal of
systems engineering and electronics, 19(4), 851-859.
6. Nadeem.A, &Howarth.M, “Protection of MANETs from a range of attacks using an intrusion detection and prevention
system”, Telecommunication Systems, Vol. 52(4), pp. 2047-2058, April 2013.
7. Ngadi .M, Abdullah .A.H, and Mandala .S, “A survey on MANET intrusion detection”, International J.Computer Science and
Security, Vol. 2(1), pp. 1-11, February 2008.
8. Kotishwaran Thanigaivelu and Krishnan Murugan,”Grid-based Clustering with Predefined Path Mobility for Mobile Sink Data
Collection in WSN”, IETE TECHNICAL REVIEW, Vol.29 (2), pp. 133-147,MAR-APR 2012.
9. Sherin Joy C.” Grid Based Energy Efficient Multipath Routing Protocol In Wireless Sensor Network Using Fuzzy Approach”.
International Journal of Engineering Research & Technology (IJERT), Vol.3(4), pp.1122-1126,April 2014.
10. https://www.igi-global.com/dictionary/miss-detection-probability/46227
11. https://en.wikipedia.org/wiki/Packet_loss
12. Receivedfromhttps://en.wikipedia.org/wiki/Neighbourhood_components_analysis
13. https://www.igi-global.com/dictionary/probability-of-false-alarm-/46090
14. https://en.wikipedia.org/wiki/Probability_of_error
Paper Title: Spam Detection in Online Comments Based on Feature Weight Breakdown
Abstract: The user reviews posted online by the Internet users about a product plays a vital role in
determining its success in the market. The reviews also influence the purchase decision of the consumers. The
chances of getting cheated by fake reviews are very high because detecting spams in reviews is not an easy task
either manually or automatically. Hence there is a need to evolve new techniques and methods to outperform the
smartness of spammers. In this paper, we propose a Heterogeneous Feature Weight Analysis framework for
187. extracting various features related to the review and certain parameters are calculated from these features to form
a pattern for deceptive reviews. The features associated with the review are review content, review rating and
user centric characteristics which are pulled out from the dataset retrieved from Amazon. This analysis has 896-900
helped us to categorize reviews into normal and suspicious reviews. We have executed our algorithm in Python
software and were able to achieve an accuracy of 71.6% inprediction.
Keyword: Fake reviews, detect spam, sentiment analysis, feature analysis, online reviews
References:
1. Naveen Kumar, Deepak Venugopal, Liangfei Qiu & Subodha Kumar, Detecting Review Manipulation on Online Platforms
with Hierarchical Supervised Learning, Journal of Management Information Systems, Volume 35, Issue 1, pp 350-380,2018
2. Ghai R., Kumar S., Pandey A.C, Spam Detection Using Rating and Review Processing Method, Smart Innovations in
Communication and Computational Sciences, Advances in Intelligent Systems and Computing, Springer, vol 670, pp 189-
198,2019
3. Hoang Long, Nguyen, Opinion Spam Recognition Method For OnlineReviewsUsingOntologicalFeatures,JournalofScience,
Volume 61, pp. 44-59, 2014
4. Dewang, R.K. & Singh, A.K., State-of-art approaches for review spammer detection: a survey, Journal of Intelligent
Information Systems, Volume 50, Issue 2, pp 231–264,2018
5. Amani Karumanchi, Lixin Fu, Jing Deng, Prediction of Review Sentiment and Detection of Fake Reviews in Social Media,
Int'l Conf. Information and Knowledge Engineering, pp 181 – 186, 2018
6. Chih-Chien Wang, Min-Yuh Day, Detecting Spamming Reviews Using Long Short-term Memory Recurrent Neural Network
Framework, Proceedings of the 2nd International Conference on E- commerce, E-Business and E-Government, Association
for Computing Machinery, pp 16–20,2018
7. Arpita kunne, Roopalakshmi, Spam Reviews Detection Framework Based on Heterogeneous Information Network (HIN),
Proceedings of the 2nd International Conference on Inventive Communication and Computational Technologies, IEEE
Xplore, pp 1791 – 1795, 2018
8. Nagwa M. K. Saeed,Nivin A. Helal , The Impact of Spam Reviews on Feature-based Sentiment Analysis, IEEE explore, pp
633–639,2018
9. Somayeh Shojaee, Masrah Azrifah Azmi Murad, Detecting Deceptive Reviews Using Lexical and Syntactic Features ,
IEEE, pp 53-58,2013
10. Atefeh Heydaria,Mohammad ali Tavakoli, Detection of review spam: A survey,Expert Systems with
Applications,Volume42,Issue 7, Elseveir, pp 3634-3642, 2015
11. Saeedreza Shehnepoor, Mostafa Salehi, NetSpam: a Network- based Spam Detection Framework for Reviews in Online
Social Media, IEEE Transactions on Information Forensics and Security, Volume 12 , Issue 7, pp 1585 - 1595,2017
12. Muhammad Hassan Arif, Jianxin Li, Sentiment analysis and spam detection in short informal text using learning classifier
systems, Soft Computing, Springer, Volume 22, Issue 21, pp 7281–7291, 2018
13. Rohit Narayan, Jitendra Kumar Rout, Sanjay Kumar Jena, Review Spam Detection Using Opinion Mining, Progress in
Intelligent Computing Techniques: Theory, Practice, andApplications,
14. Springer, Volume 719, pp 273-279, 2018
15. Huayi Li, Geli Fei, Shuai Wang, Bimodal Distribution and Co- Bursting in Review Spam Detection, Proceedings of the 26th
International Conference on World Wide Web, ACM DL, pp 1063- 1072 ,2017
16. Ravneet Kaur, Sarbjeet Singh, Harish Kumar, Rise of Spam and Compromised Accounts in Online Social Networks: A
State-of- the-Art Review of Different Combating Approaches, Journal of Network and Computer Applications, Elseveir,
Volume 112, pp 53-88,2018
17. Bing Liu, Sentiment Analysis and Opinion Mining, Morgan & Claypool Publishers,2012
18. Yuming Lin, Tao Zhu, Towards Online Review Spam Detection, Proceedings of the 23rd International Conference on
World Wide Web, ACM DL, pp 341-342, 2014
19. Sihong Xie, Guan Wang, Review Spam Detection via Temporal Pattern Discovery, Proceedings of the 18th ACM SIGKDD
international conference on Knowledge discovery and datamining,
20. ACM DL, pp 823-831, 2012
21. Guan Wang, Sihong Xie, Review Graph based Online Store Review Spammer Detection, IEEE International Conference on
Data Mining, pp. 1242–1247,2011
22. Shwet Mani, Sneha Kumari, Spam Review Detection Using Ensemble Machine Learning, Springer, Volume 10935, pp
198– 209,2018
23. Mayank Saini, Sharad Verma, Aditi Sharan, Multi-view Ensemble Learning Using Rough Set Based Feature Ranking for
Opinion Spam Detection, Advances in Computer Communication and Computational Sciences , Springer, Volume 759, pp
3-12,2018
Sakthivel Sankaran, M Pallikonda Rajasekaran, Vishnuvarthanan govindaraj, Rameeze Raja
Authors:
Mahaif, Guhapriyan Chinnaiah, Rajeswari Kamarajan, Ajithaa Chandagurunatha
Paper Title: Assistive Device for Visually Challenged People to Read Books using Lab View
Abstract: Generally, visually challenged people are unable to read books as like as a normal person. They
use Braille script for reading and writing which is one of the basic techniques for them to read books and to take
notes. A survey has been taken in the year 2017, in which they declared that people were completely visually
impaired is around 36 million and 25% of people affected with moderate visual impairment. in average. Nearly
200 million people got affected with complete visual impairment and 1.1 billion people with near vision
impairment. Nearly 5 million of visually impaired people are women. Due to various problems faced by visually
challenged people several hospitals were established for giving therapy for them. Around 1,54,000 hospitals are
serving for the visually challenged peoples in India. According to care survey conducted by CAGR, the growth
of hospitals for visually challenged will increase more than 100% i.e. 3,25,000 by the year 2035. Usually many
devices have been developed to read books for visually challenged people but, these devices need of an external
support. They are ineffective in use. In order to overcome this problem, our team has developed a device for
188.
visually challenged people to read books as like as a normal person.
901-904
Keyword: Optical character recognition, Lab VIEW, Braille Script, Visually challenged.
References:
1. Chucai yi and Aries Arditi “portable camera-based Assistive text and product label reading from hand-held objects for
blind”, vol.19,no.3, June 2014.
2. Amarnath Singh, S.Ram kishore, G.Swathi, “portable read pad for object identification for blind through MATLAB and
android” January 2015.
3. Prof.R.R Bhambare, Akashay kaul, Siddique Mohdbial, Siddarth Pandey, “Smart vision system for blind”, Vol3, May
2014.
4. Dimitriob Dakopoulos and Nikolas G. Bourbakis “Wearable Obstacle Avoidance Electronic Travel Aids for Blind,”
Vol.40, No.1, January 2010
5. Chucai yi, Yingli tian, “Scene Text recognition in mobile application by character description and structure,” IEEE
Transactions on image processing, Vol 23, No.7, July 2014.
6. Nobuo Ezaki, Rarius bulau, Lambert Schomaker, “Improved text-detection methods for a camera-based text reading
system for blind person,” IEEE in proceedings of Eighth international and Recognition. Pp 257- 261, Vol-1, ISSN: 1520-
5263,2005.
7. Marwan A.Mattar, Allen R.Hanson, Erik G. Learned-Miller, “Sign classification for the visually impaired,” IEEE
Workshop on Computer vision application for the visually impaired, 2005.
8. Alexander Trilla and Frances Alias.(2013), Sentence-based sentiment Analysis for Expressive Text-to speech,” IEEE
Transactions on Audio, Speech and Language processing,Vol-2, Issue-2,pp 223-233.
9. Balakrishnan G, Sainarayanan G, Nagarajan R and Yaacob S (2007). “Wearable real-time stereo vision for the visually
impaired”.Vol-14, No.2, pp 6-14.
10. Deepajose V and Sharan R (2014). “A Novel model for speech to text conversion”. International referred journal of
Engineering and Technology. Vol-4, No-6, pp 50-69.
11. D. Velmurugan, M.S. Sonam, S.Uma maheswari, S. Parthasarathy, K.R. Arun (2016). “A Smart reader for visually
impaired people using Raspberry Pi”. International journal of engineering science and computing IJE SC Volume 6. Issue
No-3.
12. K. Nirmala Kumari, Meghana Reddy J (2016). “Image text to speech conversion using OCR Techinque in Raspberry pi”.
International Journal of advanced Research in Electrical, electronics and instrumentation engineering. Vol-5, Issue 5,May
2016.
13. Pooja, P.Gundewar and Hemant K. Ablyankar ,“A Review on an obstacle detection in Navigation of visually impaired”
International organization of scientific Research Journal of Engineering.(ISRORJEN), Vol-3. No. IPP 01-06, Jan 2013.
14. Shraga Shouel, Iwan Ulrich and johann borenstien, “ Navbelt and the Guide cane”, IEEE transactions on Robotics and
Automation, Vol-10, No-1, pp 9-20, March 2003.
15. D.Yuvan and R.Manduchi, “ Dynamic Environment Exploration using a virtual white cane”. Proceedings of the IEEE
computer society conference on computer vision and pattern recognition(CUPR), university of California, Santa Cruz,
pp1-7, 2005.
Keyword: Prevalence, Pressure Ulcers, Paralyzed Patients, Mortality, Bony Prominences, Pressure Elevation.
References:
1. Shah, Syed Aziz, Nan Zhao, Aifeng Ren, Zhiya Zhang, Xiaodong Yang, Jie Yang, and Wei Zhao. "Posture recognition to
prevent bedsores for multiple patients using leaking coaxial cable." IEEE Access 4,pp.8065-8072, 2016.
2. Nayak, Debashish, K. Srinivasan, Sadasivan Jagdish, Roma Rattan, and Vinayaka S. Chatram. "Bedsores:“top to bottom” and
“bottom to top”." Indian Journal of Surgery 70, no. 4,pp. 161-168, 2008.
3. Boyko, Tatiana V., Michael T. Longaker, and George P. Yang. "Review of the current management of pressure ulcers."
Advances in wound care 7, no. 2,pp 57-67, 2018.
4. Sen, Devdip, John McNeill, Yitzhak Mendelson, Raymond Dunn, and Kelli Hickle. "A New Vision for Preventing Pressure
Ulcers: Wearable Wireless Devices Could Help Solve a Common-and Serious-Problem." IEEE pulse 9, no. 6, pp 28-31, 2018.
5. Pressure Ulcers: Prevention, Evaluation, and Management(Rasoul Yousefi,. Miad Faezipour) 2011, Indian Journal of Surgery.
6. Pressure Ulcer Prevention Using Soft, Non-GraspManipulation in a Forcebed(Deborah Behan, Alan Bowling) 2016
7. Bennett, Stephanie L., R. Goubran, Kenneth Rockwood, and Frank Knoefel. "Monitoring the relief of pressure points for
pressure ulcer prevention: A subject dependent approach." In 2013 IEEE International Symposium on Medical Measurements
and Applications (MeMeA), pp. 135-138. IEEE, 2013
8. A Smart Bed Platform for Monitoring & Ulcer Prevention (Rasoul Yousefi,.Miad Faezipour) 2015 Indian Journal of Surgery.
9. David, Jill A. "Pressure sore treatment: a literature review." International journal of nursing studies 19, no. 4,
pp.183- 191, 1982.
10. Berlowitz, Dan, C. VanDeusen Lukas, V. Parker, A. Niederhauser, J. Silver, C. Logan, and E. Ayello. "Preventing pressure
ulcers in hospitals: a toolkit for improving quality of care." Agency for Healthcare Research and Quality (2011).
11. Bluestein, Daniel, and Ashkan Javaheri. "Pressure ulcers: prevention, evaluation, and management." American family
physician 78, no. 10 (2008).
12. Pereira, S., R. Simoes, J. Fonseca, R. Carvalho, and J. Almeida. "Textile Embedded Sensors Matrix for Pressure Sensing and
Monitoring Applications for the Pressure Ulcer Prevention." In 2018 International Conference on Biomedical Engineering
and Applications (ICBEA), pp. 1-6. IEEE, 2018.
13. Hayn, Dieter, Markus Falgenhauer, Jürgen Morak, Karin Wipfler, Viktoria Willner, Walter Liebhart, and Günter Schreier. "An
eHealth system for pressure ulcer risk assessment based on accelerometer and pressure data." Journal of Sensors2015.
14. Raja, S., A. Senthil Kumar, N. Priyanka, S. Ramya, and R. Sahana. "A Novel System to Tackle Hospital Acquired Pressure
Ulcer Patients."
15. Yousefi, Rasoul, Sarah Ostadabbas, Miad Faezipour, Mehrdad Nourani, Vincent Ng, Lakshman Tamil, Alan Bo wling,
Deborah Behan, and Matthew Pompeo. "A smart bed platform for monitoring & ulcer prevention." In 2011 4th International
Conference on Biomedical Engineering and Informatics (BMEI), vol. 3, pp. 1362- 1366. IEEE, 2011.
16. A Review on Design and Development of Anti-Bedsore Bed for Patients ( Govind U. Raiphale, Abhishek P. Godse, Kshiteej
S. Dhotre, Omkar N.Chakor ) 2018.
17. Eilbeigi, Shahnavaz, Haiying Huang, Alan Bowling, and Deborah Behan. "Pressure ulcer prevention using soft, non -grasp
manipulation in a forcebed." In 2017 IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO), pp. 1-6. IEEE,
2017
18. Yip, Marcus, David Da He, Eric Winokur, Amanda Gaudreau Balderrama, Robert Sheridan, and Hongshen Ma. "A flexible
pressure monitoring system for pressure ulcer prevention." In 2009 Annual International Conference of the IEEE Engineering
in Medicine and Biology Society, pp. 1212-1215. IEEE, 2009.
19. Díaz, Cristina, Begoña Garcia -Zapirain, Cristián Castillo, Daniel Sierra-Sosa, Adel Elmaghraby, and Paul J. Kim. "Simulation
and development of a system for the analysis of pressure ulcers." In 2017 IEEE International Symposium on Signal
Processing and Information Technology (ISSPIT), pp. 453-458. IEEE, 2017.
20. Review of the Current Management of Pressure Ulcers (Tatiana V. Boyko , Michael T. Longaker and George P. Yang ) 2016 ,
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21. Barry, Maree, and Linda Nugent. "Pressure ulcer prevention in frail older people." Nursing Standard (2014+) 30, no. 16
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23. Osuala, Eunice O. "Innovation in prevention and treatment of pressure ulcer: Nursing implication." Tropical Journal of
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(2016)
Keyword: Firework industries; Safety requirements; Health hazard reduction; Allergic prevention. 921-925
References:
1. Dhruv katoria, Dhruv Mehta, Dhruv Sehgal & Sameer Khan, “A Review of risk to workers associated with fire work industry”
(Research India publication: 2013).
2. N.Rajathilagam, “Analysis of safety in Fireworks Industries by CHI SQUARE analysis-Virudhunagar District”, (International
journal of management and social science Research: February 2016).
3. Ilham Abass Bnyan PhD, Abdulsamie Hassan Alta'ee PhD, Nadia Hassan Kadhum MSc, “Antibacterial Activity of Aluminium
Potassium Sulfate and Syzygium Aromaticum Extract Against Pathogenic Microorganisms”, Journal of Natural Sciences
Research (2017).
4. Dr.R.Sophia Porchelvi, P.Jamuna Devi, “Regression model for people working in Fire work Industry-Virudhunagar District”,
(International journals of scientific and Research publication: April 2015). Regression model for people working in Fire work
Industry-Virudhunagar District.
5. Dr.R.Gandhinathan, A.Ravi, “Analysis of safety climate in fireworks Industries in Tamilnadu.” (International journal of scientific
and Research publication: December 2013)
6. R.C.Saravana Kumar, Dr.G.Karunanidhi, “A study on problems pertaining of women labors in fireworks Industry with special
reference to Sivakasi”, (International journal of management and social science Research: March 2016).
7. Akhtar Ali, Hamiduddin, Mohammad Zaigham, “Shibb-e-yamani (alum) a unique drug and its utilization in unani medicine: a
physicochemical and pharmacological review” (Journal of Natural Sciences Research: March 2017)
VishnuvarthananGovindaraj, PallikondaRajasekaranMurugan, Sakthivel Sankaran, Madhan
Authors:
Balaji, Sofia Fazila, Sheik Hussain Beevi, Marikaniand Ananda Lakshmi
Paper Title: Robotic Arm for the Easy Mobility of Amputees using EMG Signals
Abstract: A robotic arm is a Programmable mechanical arm to replicate the functions of human arm. They are
widely used in industries. Human robot-controlled interfaces mainly focus on providing rehabilitation to
amputees in order to overcome their impairment or disability leading them to live a normal life. The major
objective of this paper is to develop a movable robotic arm controlled by EMG signals from the muscles of the
upper limb. In this system, we mainly focus on providing a low 2-dimensional input derived from
electromyography to move the arm. This work involves creating a prosthesis system that allows signals recorded
directly from the human body. The arm is mainly divided into 2 sections, control section and moving section.
192. Movable part contains the servo motor which is connected to the Arduino Nano board, and it helps in developing
a motion in accordance with the EMG signals acquired from the body. Control part is the part which is
controlled by the operation in accordance with the movement of the amputee mainly the initiation of the 926-932
movement with respect to the threshold fixed in the coding. The major theme of the project is to provide an
affordable and easily operable device that helps even the poor sections of the amputated society to lead a happier
and normal life by mimicking the functionaries of the human arm in terms of both the physical, structural as well
as functional aspects.
Keyword: Electromyography, Robotic Arm, Prosthesis, Control Section, Moving Section, Amputees.
References:
1. E. Cavallaro, et al. Based Model as a Myoprocessor for a Neural Controlled Powered Exoskeleton Arm - Parameters
Optimization.Proc. IEEE Int. Conf. Robot Automation 2005. pp. 4514-19.
2. O. Fukuda, et al. A human-assisting manipulator teleoperated by EMG signals and arm motions.IEEE Trans-Robotic Automation
2003; Vol. 19. pp. 210-22.
3. J. Zhao, et al. Levenbergmarquardt based neural network control for a five-fingered prosthetic hand. Proc. IEEE Int. Conf.
Robotic Automation 2005. pp. 4482-87.
4. S. Bitzer, et al. Learning EMG control of a robotic hand: Towards active prostheses. Proc. IEE Int. Conf. Robotic Automation
2006. pp. 2819-23.
5. M. Zecca, et al. Control of multifunctional prosthetic hands by processing the electromyography signal. Crit. Rev. Biomed. Eng.
2002; Vol. 30. pp. 459-85.
6. D. Nishikawa, et al. EMG prosthetic hand controller using real-time learning method. Proc. IEEE Int. Conf. Syst., Man, Cybern.
1999. pp. 153-158.
7. S. Maier, et al. Surface EMG suffices to classify the motion of each finger independently. International Conference on Motion
and Vibration Control 2008.
8. K. Takahashi, et al. Remarks on hands-free manipulation using biopotential signals. ISIC/IEEE Int. Conf. Syst., Man Cybern
2007. pp. 2965-70.
9. Ambily Francis, et al. Multi-tasking EMG controlled robotic arm. IJARCCE 2017; Vol.6.
10. A. V. Hill. The heat of shortening and the dynamic constant so muscle. Proc. Royal Society London B, Biol. 1938; Vol. 126. pp.
136-195.
11. ] Rutvij B. Mavani, et al. Design and working of myoelectric prosthetic arm. IJEDR 2014; Vol.2.
12. V. Sumathi, et al. Acrylic prosthetic limb using EMG signal. International Journal of Engineering Inventions 2016: Vol.5. pp.
35-44.
Keyword: Digital Storage Oscilloscope, near infrared light source, Photodiodes, skin cancer. 933-936
References:
1. S.Pratavieria, C.T.Andrade, A.G. Salvio ( 2014,June,13) , Optical imaging as auxiliary tool for skin cancer diagnosis. [Paper]. pp.
160-170.
2. Xiaofeng Zhang (2013, March,20).Instrumentation in diffuse optical imaging. [Article] .
Available:https://www.researchgate.net/publication/262610713_Instrumentation_in_Diffuse_Optical_Imaging
3. Robert S.Mc Donald (2004,January, 14). A review of infrared spectrometry[Article]
.Available:https://doi.org/10.1021/ac00245a601.
4. T.D.Srividya, V.Arulmozhi (2019, February, 6). A review of threshold based segmentation of skin cancer with image processing.
[Journal]. pp 225-227.
5. Abhijit A Gurjarpadhiye , Arita Dubanika, Mansi B Parekh, Jayakumar Rajadas (2015, November,30) .Infrared imaging tools for
diagnostic applications in dermatology[Article] pp. 1-5.
6. J.J.Stamena , B.Hamre,L.Zhoo (2017,May,11). Optical detection and monitoring of pigmented skin lesions.[Article]. Available:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5480441
7. Esperanza Guerra Rosas, Angel coronel Beltran (2015, September,9).A review of threshold based segmentation of skin cancer
with image processing. [Journal].pp 225-227
8. R.Srinivasan, D.Kumar and Meghasingh (2002, January, 2). Optical tissue equivalent phantoms for medical imaging [Paper] pp
42-46.
S. Vigneshwaran, Vishnuvarthanan Govindaraj, N. Anitha, M. Pallikonda Rajasekaran, Yu-dong
Authors:
zhang, T. Arunprasath
An Automated Map Process Based Improved Fuzzy C-Means Algorithm for Pathological Detection
Paper Title:
in MR Image
Abstract: Automated brain MR slices segmentation process is difficult, and further difficult is the process of
detecting the tumor and tissue regions, with a constraint of delivering higher segmentation accuracy within
reduced processing time. Automated algorithms were developed with an onus of reducing the intricacies
involved during the manual inspection of the pathologies (radiologist/operator involvement). The shortages of an
195. automated process are overthrown with the development of a novel combination of soft computing algorithms,
and it employs automated map and clustering approaches. Self-Organizing map (SOM) and Improved Fuzzy C-
Means clustering (IFCM) are the automated map and clustering approaches that are used to precisely provide the 937-941
MRI slice analysis. The authors have utilized the quality metrics, such as Dice overlap Index (DOI), Jaccard
index, Peak Signal to Nosie Ratio (PSNR) and Mean Squared Error (MSE) for verifying the performance of the
SOM based IFCM, and the recommended algorithm tenders the corresponding values of the above as 84.83%,
91.69%, 0.0824 and 49.25dB. The novel SOM- IFCM algorithm delivers better demarcation outcomes when
compared with other soft computing approaches. The exemplified outcomes of the proposed SOM- IFCM
algorithm provides superior segmentation quality of MR brain slices and offers versatile usage to the
radiologists.
Keyword: Improved fuzzy c-means clustering, self-organizing map (som), MR brain image analysis,
pathological detection, tumor identification.
References:
1. D.L. Pham, “Spatial models for fuzzy clustering,” Computer Vision and Image Understanding, vol. 84, 2001, pp. 285–297.
2. M.N. Ahmed, A.A Farag, N. Mohamed, T. Moriarty, and S.M. Yamany, “A modified fuzzy c-mean algorithm for basis field
estimation and segmentation of MRI data,” IEEE Transactions on Medical Imaging, vol. 21, 2002, pp. 193–199.
3. K. Karim, and M. Mohamed, “Image Segmentation by Gaussian Mixture Models and Modified FCM Algorithm,” The
International Arab Journal of Information Technology, vol. 11, 2014, pp. 11–17.
4. R. Karan, S. Nitesh, S.K. Pankaj, and K. Amith Mishra, “A fully automated algorithm under modified FCM framework for
improved brain MR image segmentation,” Magnetic Resonance Imaging, vol. 27, 2009, pp. 994–1004.
5. Govindaraj Vishnuvarthanan, Murugan Pallikonda Rajasekaran, “Segmentation of MR brain images for tumor extraction
using fuzzy,” Current Medical Imaging Reviews, vol. 9, 2013, pp. 2–6.
6. V. Govindaraj, and P.R. Murugan, “A complete automated algorithm for segmentation of tissues and identification of tumor
region in T1, T2, and FLAIR brain images using optimization and clustering techniques,” International Journal of Imaging
Systems and Technology, vol. 24, 2014, pp. 313–325.
7. I. Guler, A. Demirhan, and R. Karakıs, “Interpretation of MR images using self-organizing maps and knowledge-based expert
systems,” Digital Signal Processing, vol. 19, 2009, pp. 668–677. DOI: https://doi.org/10.1016/j.dsp.2008.08.002.
8. A. Demirhan, M. Toru, and I. Guler, “Segmentation of tumor and edema along with healthy tissues of brain using wavelets
and neural networks,” IEEE Journal of Biomedical and Health Informatics, vol. 19, 2015, pp. 1451-1458. DOI:
10.1109/JBHI.2014.2360515
9. E. Aghajari, and G.D. Chandrashekhar, “Self-Organizing Map based Extended Fuzzy C-Means (SEEFC) algorithm for image
segmentation,” Applied Soft Computing, vol. 54, 2017, pp. 347-363. DOI: https://doi.org/10.1016/j.asoc.2017.01.003
10. G. Vishnuvarthanan, M.P. Rajasekaran, P. Subbaraj, and A. Vishnuvarthanan, “An unsupervised learning method with a
clustering approach for tumor identification and tissue segmentation in magnetic resonance brain images,” Applied Soft
Computing, vol. 38, 2016, pp. 190-212. DOI: https://doi.org/10.1016/j.asoc.2015.09.016
11. J.C. Dunn, “A fuzzy relative of the ISODATA process and its use in detecting compact, well-separated clusters,” J.
Cybernetics, vol. 3, 1974, pp. 32-57.
12. J.C. Bezdek, “Pattern Recognition with Fuzzy Objective finction Algorithms,” Plenum Press, New York, 1981.
13. Menze et al. “The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS),” IEEE Trans. Med. Imaging, 2015.
14. D.L. Collins, A.P. Zijdenbos, V. Kollokian, J.G. Sled, N.J. Kabani, C.J. Holmes, and A.C. Evans, “Design and Construction
of a Realistic Digital Brain Phantom,” IEEE Transactions on Medical Imaging, vol. 17, 1998, pp. 463-468.
15. S. Vigneshwaran, Vishnuvarthanan Govindaraj, Pallikonda R. Murugan, Yudong Zhang, and Thiyagarajan Arun Prasath,
“Unsupervised learning-based clustering approach for smart identification of pathologies and segmentation of tissues in brain
magnetic resonance imaging,” International Journal of Imaging Systems and Technology, 2019, pp. 1-18.
S.Vigneshwaran, Vishnuvarthanan Govindaraj, N.Anitha, M.Pallikonda Rajasekaran,
Authors:
T.Arunprasath
Examining the Pathological Portions in MR Brain Slices using Automated Map and Improved Fuzzy
Paper Title:
K-Means Clustering
Abstract: Identification of pathological structures (tissue and tumor region) in brain MR images is executed
by an automated algorithm, and it requires improvement in processing time and segmentation accuracy.
Oncological experts have predicaments in detecting the tumor masses that have similar resemblance with the
tissue matters. An innovative amalgamation of soft computing algorithms, such as the automated map and
clustering technique is presented through this paper. The Self-Organizing Map (SOM), a subsection of map
technique, and the clustering process named the Improved Fuzzy K-Means clustering (IFKM) are used for the
automated segmentation of MR brain structures in this paper. The segmentation outcomes of the algorithm are
accurate for brain MR image analysis, and it was evaluated using Jaccard index (TC), Mean Squared Error
(MSE), Dice overlap Index (DOI) and Peak Signal to Nosie Ratio (PSNR) values in this paper. TC and DOI
values were delivered as 84.43%, 91.43%, respectively. The efficiency of this algorithm is compared with other
traditional approaches, and it has been confirmed that is better visualization of brain structures, which will
greatly assist during Oncological treatment.
196. Keyword: Improved fuzzy k-means clustering, tumor identification, pathological detection, self-organizing
map (som), MR brain image analysis.
References: 942-946
1. D.L. Pham, “Spatial models for fuzzy clustering,” Computer Vision and Image Understanding, vol. 84, 2001, pp. 285–297.
2. M.N. Ahmed, A.A Farag, N. Mohamed, T. Moriarty, and S.M. Yamany, “A modified fuzzy c-mean algorithm for basis field
estimation and segmentation of MRI data,” IEEE Transactions on Medical Imaging, vol. 21, 2002, pp. 193–199.
3. K. Karim, and M. Mohamed, “Image Segmentation by Gaussian Mixture Models and Modified FCM Algorithm,” The
International Arab Journal of Information Technology, vol. 11, 2014, pp. 11–17.
4. R. Karan, S. Nitesh, S.K. Pankaj, and K. Amith Mishra, “A fully automated algorithm under modified FCM framework for
improved brain MR image segmentation,” Magnetic Resonance Imaging, vol. 27, 2009, pp. 994–1004.
5. Govindaraj Vishnuvarthanan, Murugan Pallikonda Rajasekaran, “Segmentation of MR brain images for tumor extraction using
fuzzy,” Current Medical Imaging Reviews, vol. 9, 2013, pp. 2–6.
6. V. Govindaraj, and P.R. Murugan, “A complete automated algorithm for segmentation of tissues and identification of tumor
region in T1, T2, and FLAIR brain images using optimization and clustering techniques,” International Journal of Imaging
Systems and Technology, vol. 24, 2014, pp. 313–325.
7. I. Guler, A. Demirhan, and R. Karakıs, “Interpretation of MR images using self-organizing maps and knowledge-based expert
systems,” Digital Signal Processing, vol. 19, 2009, pp. 668–677. DOI: https://doi.org/10.1016/j.dsp.2008.08.002.
8. A. Demirhan, M. Toru, and I. Guler, “Segmentation of tumor and edema along with healthy tissues of brain using wavelets and
neural networks,” IEEE Journal of Biomedical and Health Informatics, vol. 19, 2015, pp. 1451-1458. DOI:
10.1109/JBHI.2014.2360515
9. E. Aghajari, and G.D. Chandrashekhar, “Self-Organizing Map based Extended Fuzzy C-Means (SEEFC) algorithm for image
segmentation,” Applied Soft Computing, vol. 54, 2017, pp. 347-363. DOI: https://doi.org/10.1016/j.asoc.2017.01.003
10. G. Vishnuvarthanan, M.P. Rajasekaran, P. Subbaraj, and A. Vishnuvarthanan, “An unsupervised learning method with a
clustering approach for tumor identification and tissue segmentation in magnetic resonance brain images,” Applied Soft
Computing, vol. 38, 2016, pp. 190-212. DOI: https://doi.org/10.1016/j.asoc.2015.09.016
11. J.C. Dunn, “A fuzzy relative of the ISODATA process and its use in detecting compact, well-separated clusters,” J. Cybernetics,
vol. 3, 1974, pp. 32-57.
12. J.C. Bezdek, “Pattern Recognition with Fuzzy Objective finction Algorithms,” Plenum Press, New York, 1981.
13. Menze et al. “The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS),” IEEE Trans. Med. Imaging, 2015.
14. D.L. Collins, A.P. Zijdenbos, V. Kollokian, J.G. Sled, N.J. Kabani, C.J. Holmes, and A.C. Evans, “Design and Construction of a
Realistic Digital Brain Phantom,” IEEE Transactions on Medical Imaging, vol. 17, 1998, pp. 463-468.
15. S. Vigneshwaran, Vishnuvarthanan Govindaraj, Pallikonda R. Murugan, Yudong Zhang, and Thiyagarajan Arun Prasath,
“Unsupervised learning-based clustering approach for smart identification of pathologies and segmentation of tissues in brain
magnetic resonance imaging,” International Journal of Imaging Systems and Technology, 2019, pp. 1-18.
Sushmitha Maruthu Pandiyan, Kiruba Sebatiny Sebastin Solomon Kenned, Jeyasri Thenra,
Authors:
Vigneswaran Narayanamurthy, Anisha. M, Anusha devi Kannan
Paper Title: Blood Flow Separator Design in Passive Lab-On-Chip Device
Abstract: Nowadays, most of the clinical analytical tests are performed by separating the blood particles and
it is exclusively used to diagnose the diseases in the medical field. There are various techniques which can be
done through separating the particles, yet there are ways to go further for making the separation of particles
efficient. Therefore, an on-chip integrated microfluidic device is required for separating the blood particles. The
particle separation can be achieved by using porosity method which comes under the filtration techniques. The
designed device consists of an inlet and an outlet reservoir. The device has a top channel and bottom channel for
the blood flow where the filters are placed at the middle. By this way of filtration, it can easily separate normal
and abnormal blood particles. From the whole blood sample, the particles are trapped by using hydrodynamics
trapping method. The passive device is designed by COMSOL Multiphysics software and design results are
presented.
Keyword: blood particles, blood flow separator, passive blood flow, filtration, hydrodynamics, microfluidics.
References:
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Acoustic Force." IEEE Transactions on Electron Devices(2019).
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40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 4661-4664. IEEE,
2018.
3. Faustino, Vera, Susana Catarino, Diana Pinho, Rui Lima, and Graça Minas. "A Passive Microfluidic Device Based on Crossflow
Filtration for Cell Separation Measurements: A Spectrophotometric Characterization." Biosensors 8, no. 4 (2018): 125
4. Othamany, Nur Rabiatul Adawiyah Tajul, Norazreen Abd Aziz, Muhammad Izzuddin Abd Samad, Muhamad Ramdzan Buyong,
and Burhanuddin Yeop Majlis. "Separation of Micro Engineered Particle Using Dielectrophoresis Technique." In 2018 IEEE
International Conference on Semiconductor Electronics (ICSE), pp. 69-72. IEEE, 2018.
5. Omer, Saeed, Imran Suhyrani, and Yulin Deng. "Cell Separation Using Simple Microchip Configuration Experimental and
Simulation Analysis." In 2017 10th International Symposium on Computational Intelligence and Design (ISCID), vol. 1, pp.
378-382. IEEE, 2017
6. Kumar, Praveen, T. Ramesh, and R. Aravind. "Silicon based bio-filter for bio-molecule separation." (2017).
197. 7. Liu, Y., W. Dai, H. Li, W. Wu, and W. Wang. "A 3D filter for plasma separation from whole blood." In 2017 19th International
Conference on Solid-State Sensors, Actuators and Microsystems (TRANSDUCERS), pp. 564-567. IEEE, 2017.
8. Saeed, O., and Yulin Deng. "Microdevice for magnetic cell separation simple fabrication and simulation analysis." In 2017 IEEE 947-951
International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI), pp. 2006-2010. IEEE, 2017.
9. Indhu, R., J. Anni Steffi Mercy, K. M. Shreemathi, S. Radha, S. Kirubaveni, and B. S. Sreeja. "Separation of bio-particles in
micro fluidic device." In 2017 International Conference on Nextgen Electronic Technologies: Silicon to Software (ICNETS2), pp.
18-21. IEEE, 2017
10. Kan, Heng-Chuan, and Jian-Ming Lu. "Computational study of separation and capture of micro-particles in microfluidic devices."
In 2016 International Conference on Advanced Materials for Science and Engineering (ICAMSE), pp. 677-679. IEEE, 2016.
11. Bazaz, Sajad Razavi, Ali Abouei Mehrizi, and Alireza Zabihi Hesari. "A novel microfluidic design for blood plasma separation."
In 2016 23rd Iranian Conference on Biomedical Engineering and 2016 1st International Iranian Conference on Biomedical
Engineering (ICBME), pp. 97-101. IEEE, 2016.
12. Lewpiriyawong, Nuttawut, and Chun Yang. "Dielectrophoresis field-flow fractionation for continuous-flow separation of
particles and cells in microfluidic devices." In Advances in Transport Phenomena 2011, pp. 29-62. Springer, Cham, 2014.
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hydrodynamics and magnetophoresis." In 2011 16th International Solid-State Sensors, Actuators and Microsystems Conference,
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Paper Title: An Electrical Stimulator to Suppress the Nervous Pain in Diabetic Neuropathic Patients
Abstract: Peripheral neuropathy is an acute disorder in diabetic patients who are suffering a very agonized
pain in their peripheral nerves. Symptomatic relief can be achieved by some analgesic pain killers. One of the
best approaches is using an electrical stimulation method where the sensory nerve fibers get excited by the
application of pulsed currents at the site of pain. This could block the pain signals from reaching the brain,
followed either by the pain gate theory or opioid mechanism. This study primarily focuses the feedback principle
where the stimulus is given with respective to the patient’s skin intensity to avoid skin burning in therapy. The
opioid mechanism has been proved scientifically that it provides long-lasting pain relief even after the
stimulation. This paper documents the design and operation of feedback system which provide a constant output
by varying the width of pulses. Thereby, the patient’s pain as well as the sufferings of skin reactions upon
stimulus is reduced. As this electrical nerve stimulation strategy is a simple, safe, non-pharmacological, cost-
effective it proves to be a better alternative for pain relief.
Keyword: Bacteria Foraging Optimization, Magnetic Resonance (MR) Image Segmentation, Modified Fuzzy
K – Means, Tissue Segmentation, Tumor Identification.
References:
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approach for tumor identification and tissue segmentation in magnetic resonance brain images,” Appl. Soft Comput., vol. 38,
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Eng., vol. 27 (3), 2011, pp. 995–1009.
16. G. Vishnuvarthanan and M. P. Rajasekaran, “A complete automated algorithm for segmentation of tissues and identification
of tumor region in T1, T2, and FLAIR brain images using optimization and clustering techniques,” Int. J. Imag. Syst. Tech.,
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17. V. Anitha, M. P. Rajasekaran, G. Vishnuvathanan, Yudong Zhang and T. Arunprasath, “An automated hybrid approach
using clustering and nature inspired optimization technique for improved tumor and tissue segmentation in magnetic
resonance brain images,” Appl. Soft Comput., vol. 57, 2017, pp. 399 – 426.
18. V. Anitha, M. P. Rajasekaran, G. Vishnuvathanan, Yudong Zhang and T. Arunprasath, “Development of a combinational
framework to concurrently perform tissue segmentation and tumor identification in T1–W, T2–W, FLAIR and MPR Type
magnetic resonance brain images,” Expert Syst. Appl., vol. 95, 2018, pp. 280 – 311.
Jeya Bright Pankiraj, Vishnuvarthanan Govindaraj, Pallikonda Rajasekaran Murugan, Arun
Authors:
Prasath Thiyagarajan
Development of a Scalable Coding for the Encryption of Images using Min-Max Block Truncation
Paper Title:
Code
Abstract: In today’s world, security of data from intruders and hackers during transmission and reception
needs image encryption, and to reduce space requirement and faster transmission needs image compression,
which tend to be the emerging research arenas. Especially for lossy compression, rebuilding of image equivalent
to the transmitted original image is highly unachievable. So far many papers are reported for scalable coding on
unencrypted images. We propose a scalable coding for encrypted images by Min-Max Block Truncation Coding
Technique(MMBTC). The Min-Max Block Truncation Coding Technique compress the raw image and later
encrypted by pseudorandom number, and the encoded bit streams are transmitted. The secret key is encryption
key and communicated between encoder and decoder. In the decoding process, the compressed image is
recovered with secret key and the raw image is rebuilded by using Min-Max Block Truncation Coding
Technique.
Keyword: Block Truncation Coding, Image Encryption, Min-Max Block Truncation Coding, Scalable Coding.
References:
200. 1. Z. Erkin, A. Piva, S. Katzenbeisser, R. L. Lagendijk, J. Shokrollahi, G. Neven, and M. Barni, “Protection and retrieval of
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2000, pp. 1158–1170.
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Process., vol 21, no 6, June 2012, pp. 3108-3114.
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16. P.Jeya Bright and Dr G.Vishnuvarthanan, “Development of scalable coding for the encryption of Images using Block Truncation
Code,” In Proceedings of 3rd International Conference on Trends in Electronics and Informatics (ICOEI 2019), Tirunelveli,
India, Apr 2019, pp. 934-938. [IEEE Xplore Part Number: CFP19J32-ART; ISBN: 978-1-5386-9439-8]
Paper Title: Custom Power Device in Multilevel Inverter for Power Quality Improvement
Abstract: A dynamic voltage restorer (DVR) is a FACTS gadget, which is utilized fundamentally in
transmission lines to remunerate the voltage list and voltage swell that happens on hold. A DVR is a circuit,
which made out of intensity electronic parts like diodes and thyristors. It is generally utilized because of its
miniature size and proficient activity. This paper proposes a cascaded inverter type DVR to repay voltage hang
in the utilities for power appropriation, which is used for country zone advancement. The DVR infuses a voltage
arrangement to the framework voltage. The multi carrier PWM strategy is utilized to produce terminating
voltage to inverter. The proposed framework decreases the voltage list and complete consonant bending of the
conveyance framework. The proposed framework is simulated utilizing the MATLAB/Simulink.
Keyword: Power quality, Multilevel inverter, Total harmonic distortion (THD), Dynamic voltage restorer
(DVR), Multi carrier pulse width modulation (MCPWM).
References:
1. Geevarghese Mathew Kurian, Prof P. Aruna Jeyenthy, Prof. D. Devaraj, P.G. Anilkumar, Dept. of EEE, Kalasalingam
University, “RTC based solar power multi- level Inverter”, IEEE transactions on 2018.
2. Cheng-Han Hsieh, Tsorng-Juu Liang, Fellow, IEEE, Shih-Ming Chen, and Shih-Wen Tsai, Design and implementation of a novel
201. 3. multilevel DC to AC inverter, IEEE Transactions on Industry Applications 2016.
4. Krishna Kumar Gupta ; Alekh Ranjan ; Pallavee Bhatnagar ; Lalit Kumar Sahu , Shailendra Jain, ”Multilevel inverter topologies
with reduced device count: a review” IEEE Transactions on Power Electronics, 2016, Page: 135 – 151. 967-970
5. Alian Chen, Xiangning He, “Research on the hybrid clamped multilevel inverter topologies”, IEEE Transactions on Industrial
Electronics, 2006.
6. Sid-Ali Amamra , Kamal Meghriche , Abderrezzak Cherifi , Bruno Francois, Multilevel inverter for Renewable Energy Grid
Integration, IEEE Transactions on Industrial Electronics, 2017.
7. Ehsan Najafi , Abdul Halim Mohamed Yatim, Design and Implementation of a New multilevel inverter topology”, IEEE
Transactions on Industrial Electronics, 2012.
8. Vincent Roberge, Mohammed Tarbouchi, and Francis Okou, “Strategies to Accelerate Harmonic Minimization in Multilevel
Inverters Using a Parallel Genetic Algorithm on Graphical Processing Unit”, IEEE transactions on power electronics, 2014.
9. Sze Sing Lee, Bing Chu, Nik Rumzi Nik Idris, Hui Hwang Goh, and Yeh En Heng, IEEE members, “Switched -Battery Boost-
Multilevel Inverter with GA Optimized SHEPWM for Standalone Application”, IEEE transactions on industrial electronics, 2015
Zainal Salam, Ahmed Majed, Abdul Moeed Amjad, University Technology Malaysia, “Design and implementation of 15 -level
cascaded multi-level voltage source inverter with harmonics elimination pulse-width modulation using differential evolution
Method”, IET research article, 2015.
10. Geevarghese Mathew Kurian, Jerlin Mathew, Prof P. Aruna Jeyenthy, Prof. D. Devaraj Dept. of EEE, Kalasalingam University,
“Standalone Multilevel Inverter Using DVR for Power Quality Improvement”, IEEE Conference INCOS 2019.
11. Fang Z. Peng, “Flexible AC transmission systems (FACTS) and resilient AC distribution systems (RACDS) in smart grid”,
proceedings of IEEE, 2017.
12. Manik Prdhan, Mahesh K. Mishra, “Dual P- Q theory based energy optimized Dynamic voltage restorer for power quality
improvement in a distribution system”, IEEE transactions on industrial electronics, 2019.
13. Wu, Jinn-Chang, and Chia-Wei Chou. "A Solar Power Generation System with a Seven-Level Inverter", IEEE
Transactions on Power Electronics, 2014.
Paper Title: Solar Powered Dc Nano-Grid with Multi Agent Control Strategy
Abstract: Smart homes are typical examples of DC Nano-grids wherein multi-agent strategy is required for
coordinating different entities to harness flexible load and storage to maximize the integration of intermittent
renewable generation. This paper proposes a novel multi-agent approach for DC Nano-grids in smart homes with
an aim to simultaneously maximize comfort levels and renewable integration. In the proposed approach, there
are three agents: flexible loads, batteries, and renewable energy sources which interact among them for meeting
202. the control objectives. The agents are coordinated using a centralized controller and based on its decision the
flexibility is harnessed to the grid. The novelty of the approach is that the different agents communicate only to
the central controller and not among themselves which reduces the communication among them. The advantage 971-977
of the proposed approach is their ability to handle DC Nano-grids and using an agent-based approach within a
residential building. The proposed multi-agent approach is illustrated on a lab-level DC Nano-grids pilot
developed by the authors. Our results show that achieves maximum overall energy efficiency and minimum
electricity bill and smooth control of various modes of operation.
Paper Title: The Role of Calcium Phosphates and Electrospun 3D Scaffolds in Bone Tissue Engineering Scaffolds
Abstract: Bone is a naturally occurring nano-composite structure bestowed with an innate regenerative
potential. When this regenerative potential is not able to cope up with the bone loss, external assistance in the
form of scaffolds, cells and signals are needed. This forms the basis of bone tissue engineering (BTE). CaP
ceramics like hydroxyapatite (HA), calcium deficient hydroxyapatite (CDHA) and β-tricalcium phosphate (β-
TCP) are an excellent choice of material for hard tissue reconstruction. However, they are brittle in nature and
solid ceramic constructs are not conducive for vascularisation, thus limiting their application as scaffolds for
BTE. Thus composite scaffolds of appropriate polymer/ceramic combination would greatly benefit BTE.
Electrospinning is an extremely versatile methodology that is predominantly used for the fabrication of
nanofibrous structures that closely mimic the ECM. Nevertheless, electrospinning of 3D structures is still a
challenge. Various innovations in the electrospinning process are being tried out in order to produce true 3
dimensional structures that can act as scaffolds for BTE. The current paper reviews such technologies and also
suggests the way forward for research in this area.
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Paper Title: Environmental Condition Monitoring System of Textile Industry for Sustainable Development Goal
204. Abstract: One of the alarming threats to mankind and other living organisms is environmental pollution.
Worldwide, textile industry is one of the main air and water pollutants. Its environmental effect is
critical because it consumes considerable water for processing and discharges major polluted water. If the 986-991
quality of those discharged water exceeds the prescribed limit set by the authorities, it will cause serious
threat to the living organism. This demands the suitable monitoring system even from a remote location.
Innovation in technology could serve as the best solution to the above problem. The chemical properties are
measured of the textile effluent and an announcement will be made for proactive measures if it exceeds
the prescribed limit. The quality parameters of the effluent are continually monitored and information recorded
in the cloud by means of different sensors. The parameters such as pH, and dissolved oxygen of the
effluent can be measured and surrounding air quality also measured. The information stored can be tracked by
the competent authority via the Web page. The threshold value for the cloud information is automated to
make an automatic comparison with the detection system and send an alert to the authorities involved.
Keyword: Water Pollution, Air Quality, Sustainable develop- ment goals, Raspberry Pi, pH measurement,
Turbidity measure- ment, Textile industry, IoT.
References:
1. U. Nations, The sustainable development goals report 2016, 2019.
2. I. United Nations Environment Programme. Division of Technology, Economics, E. Programme, and United Nations
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Paper Title: A Machine Learning-based Online Social Network Analysis for 360-degree User Profiling
Abstract: This paper aims to analyse the online social network for reconnaissance of people for finding their
potentiality. The work considers one of the famous social networking sites, Twitter, where people express their
thoughts and ideas, through which the people in the site knowingly or unknowingly reveal the information about
205.
themselves such as personal interests, likes and dislikes. The Machine Learning technique facilitates the work to
mine the tweet data of a person to get his/her 360-degree profiling. This profiling is helpful to identify the 992-998
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Keyword: Machine Learning, Natural Language Processing, Online Social Network, Personality Test,
Profiling, Sentimental Analysis, Twitter.
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Authors: P.K.Kavitha, P.Vidhya Saraswathi
Machine Learning Paradigm towards Content Based Image Retrieval on High Resolution Satellite
Paper Title:
Images
Abstract: In the current era, content based image retrieval based on pattern recognition and classification
using machine learning paradigm is an innovative way. In order to retrieve high resolution satellite images
Support Vector Machine (SVM) a machine learning paradigm is helpful for learning process and for pattern
recognition and classification; ensemble methods give better machine learning results. In this paper, SVM based
on random subspace and boosting ensemble learning is proposed for very high resolution satellite image
retrieval. The learned SVM ensemble model is used to identify the images that most similar informative for
active learning. A bias-weighting system is developed to direct the ensemble model to pay more attention on the
positive examples than the negative ones. The UCMerced land use satellite image dataset is used for
experimental work. Accuracy and error rate are found to be precise. The tentative effects illustrate that the
proposed model derived enhanced retrieval accurateness at the optimum level as well as significantly more
effective than existing approaches. The proposed method can diminish the gap dimensionality and conquer the
difficulty. The comparisons are evaluated by using precision and recall measurements. Comparative analysis
observed that the retrieval time for a particular image have been reduced and the precision is increased. The
primary aim of this paper is to represent the significance of ensemble learning with support vector machine in
efficient retrieval of image.
Keyword: Boosting, Ensemble learning, Machine learning, Random subspace, Support Vector Machine
References:
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Prediction”, PLOS ONE | DOI:10.1371/journal.pone.0161501 January 6, 2017.
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©2016 IEEE.
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20. Pouria Sadeghi-Tehran, Plamen Angelov, Nicolas Virlet and Malcolm J. Hawkesford, “Scalable Database Indexing and Fast
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doi:10.3390/rs11020108
Paper Title: An Intelligent Big Data Analytics System using Enhanced Map Reduce Techniques
207. Abstract: An Intelligent Big Data Analytics System using Enhanced Map Reduce Techniques include a set of
Methods, applications and strategy which helps the organization and industry to bring together the data and
1006-
information from outside sources and internal systems, as well as it is used to collect , classify, analysis and run
the queries against the data and prepare the report for effective decision making. The Enhanced Map Reduced 1010
Techniques based on K-Nearest Neighbor (KNN) clustering Strategy works efficient as well as in an effective
manner. We found that the existing MR – mafia sub space clustering Strategy have not performed effectively
.Many clustering techniques are adopted in real world data analysis for example customer behavior analysis,
medical data analysis, digital forensics, etc. The existing MR- mafia sub space clustering Strategy is inefficient
because of continuously increase in the data size, and overlaying of the data blocks .The proposed KNN
clustering Strategy mainly focused on the enhanced the Map Reduce techniques, and then to avoid the
unnecessary input and output data, optimize the data storage in order to achieve the best out sourcing of data
privacy. The proposed KNN clustering Strategy works effectively and that can be outsourced to cloud server.
Keyword: Big Data, Map Reduce, KNN clustering Strategy, Cloud Server, Subspace Clustering Strategy.
References:
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11. Enhanced Map Reduce Techniques for Big Data
12. Analytics Based on K- Means Clustering, S.Dhanasekaran, B.S.Murugan and V.Vasudevan, IEEE International Conference on
Intelligent Techniques in Control, Optimization and Signal Processing – INCOS19, 2019.
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Paper Title: Machine Learning for Epidemiological Analysis in The Industrial Area for a Sustainable Life
Abstract: Pollution exposure and human health in the industry contaminated area are always a concern. The
need for industrialization urges to concentrate on sustainable life of residents in the vicinity of the industrial area
rather than opposing the industrialists. Literature in epidemiological studies reveal that air pollution is one of the
major problems for health risks faced by residents in the industrial area. Main pollutants in industry related air
pollution are particulate matter (PM2.5, PM10), SO2, NO2, and other pollutants upon the industry. Data for
epidemiological studies obtained from different sources which are limited to public access include residents’
sociodemographic characters, health problems, and air quality index for personal exposure to pollutants. This
combined data and limited resources make the analysis more complex so that statistical methods cannot
compensate. Our review finds that there is an increase in literature that evaluates the connection between
ambient air pollution exposure and associated health events of residents in the industrially polluted area using
statistical methods, mainly regression models. A very few applies machine learning techniques to figure out the
impact of common air pollution exposure on human health. Most of the machine learning approach to
epidemiological studies end up in air pollution exposure monitoring, not to correlate its association with
diseases. A machine learning approach to epidemiological studies can automatically characterize the residents’
exposure to pollutants and its associated health effects. Uniqueness of the model depends on the appropriate
exhaustive data that characterizes the features, and machine learning algorithm used to build the model. In this
contribution, we discuss various existing approaches that evaluate residents’ health effects and the source of
209. irritation in association with air pollution exposure, focuses machine learning techniques and mathematical
background for epidemiological studies for residents’ sustainable life.
1017-
1025
Keyword: Epidemiological studies, sustainable life, air pollutants, air pollution exposure, sociodemographic
characters, health problems, statistical methods, machine learning, mathematical background.
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Authors: K.Muthamil Sudar, P.Deepalakshmi
Flow Based Intrusion Detection System for Software Defined Networking using Hybrid Machine
Paper Title:
Learning Technique
Abstract: Software Defined Networking and OpenFlow protocol have been recently emerged as dynamic and
promising framework for future networks. Even though, programmable features and logically centralized
controller leads to large number of security issues. To address the security problems, we have to impose
Intrusion Detection System module to continuously keep track of the network traffic and to detect the malicious
activities in the SDN environment. In this paper, we have implemented flow-based IDS with the help of hybrid
machine learning technique. By collecting the flow information from the controller, we classify the traffic,
extract the essential features and classify the attack using machine learning based classifier module. For
classifier, we have developed hybrid machine learning model with the help of Modified K-Means and C4.5
algorithm. Our proposed work is compared with single machine learning classifier and our experimental results
show that, proposed work can classify the normal and attack instances with accuracy of 97.66%.
Keyword: Software Defined Networking, SDN, Machine Learning, ML, Intrusion Detection System, IDS,
flow-based, K-Means, C4.5, hybrid ML
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1026-
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Keyword: Legal system, Deep learning, Data analytics, Classification, Prediction, Artificial Intelligence
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System for the Legal Domain”
20. Kaiz Merchant B.E in Computer Engineering Dwarkadas J. Sanghvi College of Engineering Mumbai, India
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Domains @agc.gov.sg @smu.ac.in.
Keyword: Claim, Construction, Management, Regression Analysis, Relative index method (RII).
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Journal of Construction Engineering and Management Volume 144 Issue 2 February 2018
Paper Title: Implementation of Lean in Four-Wheel DriveFront Axle Sub Assy line
Abstract: This project deals with the Optimizing the process and eliminating the waste in Four Wheel Drive
front axle sub assembly line. Four wheel drive sub assembly line consist of 20 different sub-assemblies are
available. In which Axle housing sub assy takes more time to complete i.e. around 20.8 min which is more than
TAKT time. In this most fatigue operation is Bush pressing which is done by manual hammering. Due to the
manual hammering process TAKT time increases and improper bush assy into the axle housing which leads to
failure in the front axle function which results in warranty claims thus increasing the external cost to the
company. As the existing process is manual, the accuracy of the pressing operation is not to the standards, while
pressing the bush, there is no assurance of full placement of the bush in the axle, also the fatigue is more, and
there may be chances of lack of skill in the work. The interference tonnage is found to be 3 to 4 tonnes and so
the intensifier unit for the appropriate pressure is to be designed initially 100% inspection is done after bush
pressing to check correct position of bush assy, internal diameter of the bush using gauges, Further through
PFMEA critical process are identified for failure .
Paper Title: Biogas Production from Poultry Wastewater using Anaerobic Digester
Abstract: Experimental work was carried out for the production of Biogas from poultry waste water. The
Poultry waste was collected from farm near Nagercoil at Kanyakumari District. Batch anaerobic digester was
219. designed for 20L capacity. The experiment was carried out for 36 days to monitor the performance. Various
parameters like pH, TS, COD have checked for every 24hours. The Production of biogas was measured by water
1079-
displacement method. The methane content was analyzed by gas chromatography test. Based on the
experimental data, kinetics studies have done for various models like Line Weaver-Burk method, Eadie-Hofstee 1083
method, Hanes-Woolf method. The Eadie-Hofstee Method has provided better prediction than other method.
These results thus indicate that, Eadie-Hofstee Method is best to identify the growth rate, substrate concentration
and Limiting Substrate Concentration of the system. The sludge of the poultry wastewater and digester were
characterized by SEM analysis. The imaging was done to determine the morphological structure of the sludge
and to view the bacterial growth on the surface of the sludge.
Paper Title: The Low Cost, High Performance Material for Automotive Application
Abstract: Recently, composite materials are used in various automotive applications. The reasons for
composite materials are low weight and can withstand high strength. The present work focuses on the
preparation and characterization of some advanced Fiber metal laminate (FML) like Al/BF with epoxy, Al/CF
with epoxy, Al/GF with epoxy and its automotive application. Fiber metal laminate is the arrangement of metal
fiber, resin in required stacking order. The required fiber metal laminate was fabricated using compression
moulding process and the samples were subjected to wide range of mechanical and thermo mechanical
characterizations such as tensile strength, impact, erosion wear and flammability test respectively. All the tests
are done as per ASTM standards. The applicability and replaceability of the material with conventional
automotive materials were studied and results were tabulated.
Keyword: FML, Aluminium (Al), Basalt fiber (BF), Glass Fiber (GF), Ceramic Foam (CF), compression
220. moulding, mechanical, thermo-mechanical properties, automotive application.
1084-
References:
1. Grigoriou, K., & Mouritz, A. P. (2018). Modelling and testing of fibre metal laminates and their constituent materials in fire. 1087
Composite Structures, (May), 25–35.
2. Majerski, K., Surowska, B., & Bienias, J. (2018). The comparison of effects of hygrothermal conditioning on mechanical
properties of fibre metal laminates and fibre reinforced polymers. Composites Part B: Engineering, 142, 108–116.
3. Sharma, A. P., Khan, S. H., Kitey, R., & Parameswaran, V. (2018). Effect of through thickness metal layer distribution on the low
velocity impact response of fiber metal laminates. Polymer Testing, 65(October 2017), 301–312.
4. Aghamohammadi, H., Hosseini Abbandanak, S. N., Eslami-Farsani, R., & Siadati, S. M. H. (2018). Effects of various aluminum
surface treatments on the basalt fiber metal laminates interlaminar adhesion. International Journal of Adhesion and Adhesives, 84,
184–193.
5. Mohammed, I., Rahim, A., Talib, A., Thariq, M., Sultan, H., Jawaid, M., … Saadon, S. (2018).com Mechanical Properties of
Fibre-Metal Laminates Made of Natural/Synthetic Fibre Composites, 13(1), 2022–2034.
6. Trzepiecinski, T., Kubit, A., Kudelski, R., Kwolek, P., & Obłój, A. (2018). Strength properties of aluminium/glass-fiber-
reinforced laminate with additional epoxy adhesive film interlayer. International Journal of Adhesion and Adhesives, 85, 29–36.
7. Chandrasekar, M., & Jawaid, M. (2016). An experimental review on the mechanical properties and hygrothermal behaviour of
fibre metal laminates.
8. Patil, N. A., Mulik, S. S., Wangikar, K. S., & Kulkarni, A. P. (2018). Characterization of Glass Laminate Aluminium Reinforced
Epoxy- A Review. Procedia Manufacturing, 20, 554–562.
9. Surowska, B., & Outline, C. (2017). Properties and characterization of fiber metal laminates.
10. Das, R., Chanda, A., Brechou, J., & Banerjee, A. (2016). 17- Impact Behaviour of FML. Dynamic Deformation, Damaged and
Fracture in Composites materials and structures.
Authors: Vignesh Sreekandan Nair*, Jothiraj Palaniappan, Vasanth Prasad, Winowlin Jappes J T
Paper Title: Development of Protective Industrial Mask for Working in Clensol Environment
Abstract: The proper mixing of the fuel and the air before the entry of engine makes the automobile
vehicles to function properly. This accurate mixing can be obtained with the solitude
great performance of carburetors. The performance of the carburetors is being checked continuously with
sequential development during manufacturing processes. Once the development of the carburetor with the
coverings is completed, their performances are in need to be checked. As the fuel used possess characteristics
such as high reactivity with atmospheric oxygen, lesser density and high volatility, it cannot be used in the
testing process. Hence fuel with the equivalent chemical formula as that of petrol is to be chosen and was found
to be clensol. Owing to the above reasons, it is used to test the performance of carburetor especially for
inspecting the movement of float and to detect leakage and so on. Hence they are used to test the performance of
the carburetor as movement of float, leakage etc. Though this chemical seems to be a gift for the industry, it
seems to have a lot of disadvantages because of this highly volatility which greatly placed the major role in
decrementing the respiratory health of human work force leading to the throat infection, lung infection and often
results in dermatological issues. Despite protective mask which are being provided by the industries to the work
in order to avoid direct inhalation of volatile clensol. The detrimental effects were found not to be reduced up to
the mark. Hence, this project deals with the development of mask with the suitable materials which will reduce
the amount of clensol penetration in the inhaling air. The
reduction of clensol level in the developed mask was tested and tabulated.
221.
Keyword: Carburretors, Clensol, Protective mask, Safety. 1088-
References: 1091
1. LarryE.Bowen Southern Research Institute, Birmingham, Alabama Does That Face Mask Really Protect You?
2. Linn Iren Vestly Bergh a,b,1, Arne Jarl Ringstad Gerard I.J.M. Zwetsloot. Psychosocial risks and hydrocarbon
leaks: an exploration of their relationship in the Norwegian oil and gas industry.
3. Respiratory Protection for Airborne Exposures to Biohazards Technical data bulletin
4. New York: John Wiley & Sons, 1999. Hinds, W.C.: Aerosol Technology: Properties, Behavior and Measurement of Airborne
Particles.
5. TerjeAvena, 2011On risk assessment in the petroleum activities on the Norwegian and UK continental shelves
6. Anne MetteBjerkanHealth, environment, safety culture and climate – analysing the relationships to occupational
accidents
7. Aven and Pitblado, 1998; Vinnem et al., 2006, Barrier and operational risk analysis of hydrocarbon releases (BORA-Release):
Part I. Method description
8. Eninger, R.M., Adhikari, A., Reponen, T., and S.A. Grinshpun. Differentiating Between Physical and Viable
Penetrations.When Challenging Respirator Filters with Bioaerosols. Clean 36(7), 615-621; 2008.
9. A Morgan, A Holmes.Concentrations and characteristics of amphibole fibres in the lungs of workers exposed to
crocidolite in the British gas-mask factories, and elsewhere, during the second world war.
10. AtulDahiya, M. G. Kamath, Raghavendra R. Hegde (Hsu-Yeh Huang and Xiao Gao), Spunbond Technology Updated,April,
2004
11. Comparison of biodegradation of low-weight hydroentangled raw cotton nonwoven fabric and that of commonly used
disposable nonwoven fabrics in aerobic Captina silt loam soil
12. Weick and Sutcliffe, 2007, Psychosocial risks and hydrocarbon leaks: an exploration of their relationship in the Norwegian
oil and gas industry Stanton et al., 2005.
13. Ted.Aulich, Xinming He, Ames A.Grisanti and Curtis L.Knudson.Gasoline Evaporation- Ethanol and nonethanol blends.
Paper Title: Identification of Hazards and Safety Measures in Food Processing Industry
Abstract: The investigation of this study mainly target the food manufacturing machinery equipment’s by
conducting the risk assessment to identify high potential risk areas . The Risk assessment was carried out by
using a tool known as MACHINE SAFETY RISK ASSESSMENT (MSRA) (Machine Safety Risk Assessment)
.The focus of the work is an analysis of work demands being placed on Food manufacturing industry to the
Limited workers, as there is a potential problems. MACHINE SAFETY RISK ASSESSMENT (MSRA) tool
helps to identify the problems in a machine by directly investigating with the workers. In this investigation some
222. major 25 machineries are taken for the assessments purpose. With the help of this investigations the major high
potential hazards and most potential machinery areas can be easily identified. The results of this machinery risk
assessments should be communicated to all relevant persons or groups who were not themselves involved in 1092-
completing the assessment. Depending on the nature and scope of the assessment, this could include personnel
directly involved in the activities, as well as those responsible for supervising or managing the activities. 1097
Communication is typically best carried out by the individual(s) who lead the risk assessment. The assessment
concludes about 54% of hazards are happened due to the packing machinery sections, 24% of accidents causes
in mixing machinery units while the oven and loading area reaches 10 to 12% of the accidents in the food
manufacturing plants.
Keyword: Hazards, Risk, Assessment, Machine, Food manufacturing.
References:
1. E.De Boeck, L.Jacxsens.,M.Bollaerts., & P.Vlerick. “Food safety climate in food processing organizations: development and
validation of a self-assessment tool”. Trends in Food Science & Technology,Vol 46(2), 2015,242-251.
2. S.Costigan., & J.Lopez-Belmonte. “An approach to allergy risk assessments for e-liquid ingredients”. Regulatory Toxicology and
Pharmacology, Vol.87,2017, 1-8.
3. K.Eliasson., P.Palm.,T.Nyman.,& M.Forsman.“Inter-and intra-observer reliability of risk assessment of repetitive work without an
explicit method”. Applied ergonomics,Vol 62,2017, 1-8.
4. M.A.Hamka. “Safety risks assessment on container terminal using hazard identification and risk assessment and fault tree analysis
methods”. Procedia engineering, Vol 194, 2017, 307-314.
5. R.Proskovics., G.Hutton., R.Torr., & M.N. Scheu, . “Methodology for Risk Assessment of Substructures for Floating Wind
Turbines”. Energy Procedia,Vol 94,2016, 45-52.
6. A.A.Gonzalez., S.A.Patroni., & J.G.Vidal. “Developing competencies in the process of hazard identification in an enterprise
related to the field of logistic and food”. Procedia Manufacturing, Vol.3, 2015, 5052-5058..
7. L.Tang, Z.Li., Y.Zhao, J. Qin, & L.Lin.“Life Cycle Oriented Hazards Identification for Tailings .Facility”. Procedia
Engineering, Vol.43,2012, 282-287...
8. J.Tupa, J.Simota., & F.Steiner.“Aspects of risk management implementation for Industry 4.0. Procedia Manufacturing”,Vol. 11,
2017,1223-1230..
9. F.Goerlandt., N.Khakzad., &G.Reniers “Validity and validation of safety-related quantitative risk analysis: A review”. Safety
Science, Vol.99,2017, 127-139.
Paper Title: Energy Management Micro Grid using Hybrid De Algorithm with Genetic Algorithm
Abstract: this paper evaluates hybrid differential evolution algorithm and genetic algorithm of LAMG is
used to solving the medium scale mixed integer programming problems. Hybrid GA and DE algorithm is
implemented in Local place Micro grids. LPMG and the required need of power and choose more power
plants with power production with the help of Genetic algorithm. Genetic algorithm can be introduced with local
place micro grid and select any one of the power plant. In this DEA implemented the local place MG, then
survey period is one day. Last calculation shows which time or hour produce more power and sold out power
in nearest city area electricity board. DE algorithm determine the one day power survey and Genetic algorithm
choose more hour and select any one of the hour for better power production. The hybrid DEA and GA is to
maintain choosing and selecting of better power production. So our project aim is choose more hour and select
any one of the hour for better power production. This hybrid is use DE and GA is to maintain the real and
reactive power of any power plant this paper evaluates hybrid differential evolution algorithm and genetic
algorithm of LAMG is used to solving the medium scale mixed integer programming problems. Hybrid GA and
DE algorithm is implemented in Local place Micro grids. LPMG and the required need of power and choose
more power plants with power production with the help of Genetic algorithm. Genetic algorithm can be
introduced with local place micro grid and select any one of the power plant. In this DEA implemented the
local place MG, then survey period is one day. Last calculation shows which time or hour produce more power
and sold out power in nearest city area electricity board. DE algorithm determine the one day power survey and
Genetic algorithm choose more hour and select any one of the hour for better power production. The hybrid
DEA and GA is to maintain choosing and selecting of better power production. So our project aim is choose
more hour and select any one of the hour for better power production. This hybrid is use DE and GA is to
maintain the real and reactive power of any power plant
225.
Keyword: Local place micro grid (LPMG), Local place energy resources (LPERs), Differential evolution 1107-
algorithm (DEA), Genetic algorithm (GA) and Electricity (EB).
1111
References:
1. Man, K.F, Tang, K.S &Kwong. S “Genetic algorithm concepts and applications, IEEE Tranactions on industrial Electronics,
43(5),519-534,doi 10.1109/41538609.
2. IEEE Colloquium on “Genetic . Algorithm for control Systems Engineering 9Digest No 1993/130)
3. E.G.Talbi. T Munten IEEE colloquium on “Genetic Algorithm for control systems Engineering”1993.
4. A. Hernandez- Aramburo, T. C. Green, and N. Mugniot, “Fuel consumption minimization of a microgrid,” IEEETrans. Ind.
Appl., vol. 41, no. 3, pp. 673–681, May/Jun.2005
5. N. Ming, H. Wei, G. Jiahuan, and S. Ling, “Research on economic operation of grid-connected microgrid,” PowerSyst. Technol.,
vol. 34, no. 11, pp. 38–42, 2010
6. Jiang Xinzi; Tang Kezong 2007 chinese Chinese control Conferance on 2006 on “Hybrid Algorithm combing Ant
ColongOptization Algorithm with Ceneti Algorithm”.
7. Alessandra Parisio, EvangelosRikos, Luigi Glielmo,”
Stochastic model predictive control for economic / environmental operation management of micro grids. An experimental case
study”13 may 2016.
8. P.Kaelo and M.M.Ali, “A numerical study of some modified differential algorithms” Eur. J.Oper, Ees,vol,169,pp 1176-
1184,20006.
9. Levron, Yoash, Guerrero, Joseph M Beck, Yuval,
“Optimal power flow in micro grids with Energy storage”.
10. D.E.Golberg. and Richardson “Genetic algorithm with shairing for multimodel function optimization “ in proc
11. 2 ndconference , Genetic algorithms , Genetic Algorithm and Their Applications Camgbridge MA 1987.
S.KannanS.M.R.Silochannel and N.P. Padhy ,:Applications and comparision of methaheuristic techniques to generation
expansion planning problem ,”IEEE Trans Power Syst, vol20,no 2,pp,668-74, May 2005.
12. X.D. Li,”Efficient differential evolution using speciation for multimodel function optimization” in Genetic And evolutionary
Computation Conf- , ,GECCO 05. Washinton , DC, 2005.
13. IEEE transations on neural network and learning systems, Ganesh kumar, Ratnesh k Sharma, prajwal and AfshinAhmadi
“DynamicEnergy Management System for a smart micro grid
14. Miranda and N.Fonseca “EPSO—evolutionry optimization particle swaem optimization, a new algorithm with applications in
power systems” in proc IEEE Power EngSoc Summer meeting, Chicago, 2012.
15. L.J.Fogel , A.J. Owens, and M.J.Walsh, “Artifigual Intelligence Through Simulated evoulation,” New York:Willey 1996.
Authors: Vijayakumar K., Santhosh Ram G. P., Abubakkar siddhik M., Parameswari A. M.
Paper Title: Design and Fabrication of Low Cost Automatic Cleaning Module for Solar PV Systems
Abstract: The Solar PV modules are usually engaged in dusty environments which are the condition in many
tropical countries like India. The dirt gets hoarded on the superficial of the PV module and chunks the photons
from the sun. It decreases the generation ability of the PV module. The power output decreases the efficiency, if
the PV module is not cleaned for a long time. In order to habitually clean the dust, an automatic cleaning system
has been proposed, which senses the light energy from the sun on the solar panel and also cleans the PV module
automatically. This system is realized with PIC16F877A microcontroller which controls the geared servo motor.
This system consists of a sensor (LDR) to make it dusk to dawn. While for cleaning the PV modules, a
mechanism consists of a sliding wipers has been developed. In earlier machinery, cleaning of PV panels was
done manually. But here the PV panels has been cleaned by automatic system i.e. wiping mechanism with water
flow for effective cleaning.
226.
1112-
Keyword: automatic cleaning, DC wiper motor, low cost, Solar panel cleaning, Solar PV panel.
1114
References:
1. “Microcontroller Based Automatic Cleaning of Solar Panel”, by S. B. Halbhavi, S. G. Kulkarni, in International Journal of Latest
Trends in Engineering and Technology (IJLTET).
2. “Automatic Self Cleaning Solar Panel”, International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -
0056, Volume: 04 Issue: 05 | May -2017 p-ISSN: 2395-0072.
3. “Design an Automated Cleaning System to Improve Efficiency of Photovoltaic Cells”, by Shishir Kumar Das, Ankit Srivasan, and
Lucky Shrivastav, SSIPMT, Raipur, Chhattisgarh, India, ISSN: 2250-0138.
4. J. B. Jawale; V. K. Karra; B. P. Patil et al, “Solar panel cleaning bot for enhancement of efficiency — an innovative approach”,
IEEE 3rd International Conference on Devices, Circuits and Systems (ICDCS), 3-5 March 2016.
5. Alireza Gheitasi; Ali Almaliky et al, “Development of an automatic cleaning system for photovoltaic plants”, IEEE PES Asia -
Pacific Power and Energy Engineering Conference (APPEEC), 15-18 Nov. 2015.
6. Dabhi Chirag et al, “Design and Development of Solar Panel Cleaning Machine”, International Journal of Advance Engineering
and Research Development, e-ISSN-2348-4470, P-ISSN-2348-6406, April-2017.
Paper Title: Sentiment Scoring and Performance Metrics Examination of Various Supervised Classifiers
Abstract: Sentiment Analysis probes public opinion on user generated content on Web like blogs, social
media or e-commerce websites. The results of Sentiment Analysis are getting much attention with marketers that
they are able to evaluate the success of an advertising campaign or the attitude of people on a new product
launch. Business owners and advertising companies are using Sentiment Analysis to start new business
strategies and to identify opportunities for new product development. In this paper, with R programming, the
tweets from Twitter about Samsung Galaxy mobile phone and Apple Iphone were retrieved from three countries
namely USA, UK and India for creating the dataset. The collected tweets were classified into positive, negative
and neutral sentiments. The machine learning classifier algorithms like Naïve Bayes, Support Vector Machine,
Random Forest, Decision Tree, Artificial Neural Network, XGBoost with K Fold cross validation were applied
on the dataset and the results were tabulated for comparing and estimating which classifier algorithm yields the
best accuracy. Other performance metric values like F Score, Precision, Recall were also calculated for
comparison of various classifier performances on Sentiment Analysis. It was found that XGBoost method
combined with K Fold cross validation has produced the best accuracy in prediction. We have also applied
SentiStrength algorithm to find out the intensity or the strength of positive and negative comments from each
sentence. With the help of the results in hand, we were able to predict the brand of mobile phone that was
preferred in each country.
Keyword: Sentiment Analysis, Machine learning, Text Mining and Analytics, Web Data Mining, Predictive
Analytics
References:
1. Zhe Zhao Tao Liu, Guiding the Training of Distributed Text Representation with Supervised Weighting Scheme for
Sentiment Analysis,Data Science and Engineering, Volume 2, Issue 2, pp 178–186, 2017
2. Feng, S., Song, K., Wang, D, A word-emoticon mutual reinforcement ranking model for building sentiment lexicon from
massive collection of microblogs, World Wide Web, Volume 18, Issue 4, pp 949–967, 2015.
3. Braja Gopal Patra, A Multilevel Approach to Sentiment Analysis of Figurative Language in Twitter, Springer International
Publishing AG, LNCS, Volume 9624, pp. 281–291, 2018.
4. Ashish Kumar Rathore, Santanu Das, Vigneswara Ilavarasan, Social Media Data Inputs in Product Design: Case of a
Smartphone, Global
Journal of Flexible Systems Management, Volume 19, Issue 3, pp 255– 272, 2018
5. Mondher Bouazizi, Tomoaki Ohtsuki, A Pattern-Based Approach for Multi-Class Sentiment Analysis in Twitter, IEEE
228. Access, Volume 5,pp 20617 – 20639, 2017
6. Kuo, YH., Fu, MH., Tsai, WH., Integrated microblog sentiment analysis from users’ social interaction patterns and textual 1120-
opinions, Applied Intelligence, Springer, Volume 44, Issue 2, pp 399–413, 2016
7. Liu, H., Cocea, M. & Ding, W., Multi-task learning for intelligent data processing in granular computing context, Granular 1126
Computing, Springer, Volume 3, Issue 3, pp 257–273, 2018.
8. Lin Yue ,Weitong Chen, A survey of sentiment analysis in social media, Knowledge and Information Systems, Springer, pp
1–47, 2018
9. Mike Thelwall, The Heart and Soul of the Web? Sentiment Strength
10. Detection in the Social Web with SentiStrength, Cyberemotions, Springer, pp 119-134, 2017
11. Andrius Mudinas, Dell Zhang, Mark Levene, Combining Lexicon and Learning based Approaches for Concept-Level
Sentiment Analysis, ACM Digital Library,2012
12. Pranali Borele, Dilipkumar A. Borikar, An Approach to Sentiment Analysis using Artificial Neural Network with
Comparative Analysis of Different Techniques, IOSR Journal of Computer Engineering, Volume 18, Issue 2, pp 64-69, 2016
13. Hassan Saif, Yulan He, Contextual Semantics for Sentiment Analysis of Twitter, Information Processing and Management,
Volume 52, Issue 1, pp 5-19, 2016
14. G. Vaitheeswaran, L. Arockiam, A Novel Lexicon Based Approach to Enhance the Accuracy of Sentiment Analysis on Big
Data, International Journal of Emerging Research in Management &Technology, Volume 5, Issue 1, 2016
15. Nirmala, C. Christy, M.A. Maria Parimala, An Enhanced Sentence Level Sentiment Classification Opinion Mining System
With Pos Tagging, International Journal of Emerging Technology in Computer Science & Electronics, Vol 19, Issue 2, 2016
16. N.Srinivasa Gupta, B. Valarmathi, Opinion Mining Using An Intuitive Scoring Approach, International Journal of Pharmacy
& Technology, Vol. 8, Issue 4, pp. 21527-21546, 2016
17. R.Nithyaa,, Dr.D.Maheswari, A Contrast Between Systematic and Automated Sentiment Analysis, I.J. Education and
Management Engineering,Vol 2, pp. 20-29, 2015
18. Fang and Zhan, Sentiment Analysis Using Product Review Data, Journal of Big Data, Vol 2, Issue 5, 2015
19. A Kowcika, Aditi Gupta, Sentiment Analysis for Social Media, International Journal of Advanced Research in Computer
Science and Software Engineering, Vol. 3, Issue 7, 2013
Thelwall, M., Buckley, K., Paltoglou, G., Cai, D., & Kappas, A., Sentiment strength detection in short informal text, Journal
of the American Society for Information Science and Technology, 61(12), pp. 2544–2558, 2010
20. Lu Y., Kong X., Quan X., Liu W., Xu Y. Exploring the Sentiment Strength of User Reviews, Web-Age Information
Management, Vol 6184, pp 471-482 , 2010
21. Bing Liu, Sentiment Analysis and Opinion Mining, Morgan & Claypool Publishers, May 2012
22. Bing Liu, Web Data Mining, Springer Publications, 2008
23. Muhammad Zubair Asghar, T‐ SAF: Twitter sentiment analysis framework using a hybrid classification scheme, WILEY,
2017
24. Jaspreet Singh, Optimization of sentiment analysis using machine learning classifiers, Human Centric Computing and
Information Sciences, Springer, 2017
25. Lulu Wang., Weighted Ensemble Classification of Multi-label Data Streams, Springer,2017
26. Wu He, Zuopeng Zhang & Vasudeva Akula, Comparing consumer-produced product reviews across multiple websites with
sentiment classification, Journal of Organizational Computing and Electronic Commerce, 2018
27. Cuiqing Jiang, Capturing helpful reviews from social media for product quality improvement: a multi-class classification
approach, International Journal of Production Research, 2017
Authors: Jaison Mathew Zacharia, Hari Krishna Shaji, Jerald James, Sree Ram H.
Paper Title: Analysis and Optimisation of Disc BrakeSystem for Two-Wheeler Applications
Abstract: Braking system is used for restraining the motion by absorbing energy from a moving body. The
conventional braking system works on the principle of friction. Among the different types of brakes, disc brakeis
one of the most widely used braking systems. Estimation of efficiency of this class of brakes without
manufacturing of prototype is very difficult. This paper focuses on analysis and optimization of disc brake using
ANSYS software. The base modelling of the disc brake system will be carried out using SOLIDWORKS and the
model will be imported to ANSYS. The analysis is aiming at optimizing the deformation and stress
conditions. The final design is aiming at controlling the deformation and stresses of the disc by providing the
best material to be used for the certain design. The basic brake system used for the analysis was Bajaj Pulsar 150
motor cycles.