Your search for: 'author:("Singh, Kuldeep")' has returned 4 results. (0.011s) Save search

Authors: Singh, Kuldeep | Dhillon, Sharanjit Singh

Article Type: Research Article

Abstract: This study focusses on the effect of economic development on environmental indicators and attempts to understand the relationship between economic development represented by a set of economic variables, such as gross domestic product (GDP) per capita and environmental indicators such as carbon dioxide emissions and other environmental indicators. The study used cross section and time series, that is, panel database of the countries for the period 1960–2014. On the basis of analysis, the study found that most of the environmental indicators deteriorate with higher population density due to more pressure on the environment and natural resources with high population density. …The relationship between environmental quality and industry value addition has emerged positive from the analysis. All the environmental indicators, except ‘HFC gas emissions’ and ‘PFC gas emissions’, are positively influenced by value addition by the industry. Furthermore, the study found that most of the environmental indicators clearly improved with a higher share of trade in GDP. The reason is that open economies tend to be cleaner than closed economies. Expanding trade can lead to improved environmental quality. Openness and competition will increase investment in new technological processes to meet higher environmental standards. As expected, the study clearly found that environmental quality deteriorates with higher energy use and with higher urban population. The number of deteriorated environmental indicators due to mean years of schooling is more than the number of environmental indicators improved due to schooling. The study analysed that only four environmental indicators have a significant relationship with public expenditure on education. Out of these four environmental indicators, two indicators (‘bird species threatened’ and ‘plant species threatened’) improve with public expenditure on education and other two indicators (‘PM level’ and ‘organic water pollutant’) deteriorate with higher public expenditure on education. Show more

Keywords: Environment, Economic Development, Environmental Degradation, Panel Data, Sustainable Development, CO2 emissions

DOI: 10.3233/RED-14201

Citation: Journal of Resources, Energy and Development, vol. 14, no. 2, pp. 45-71, 2017

Authors: Tripathi, Gaurav | Singh, Kuldeep | Vishwakarma, Dinesh Kumar

Article Type: Research Article

Abstract: Violence detection is a challenging task in the computer vision domain. Violence detection framework depends upon the detection of crowd behaviour changes. Violence erupts due to disagreement of an idea, injustice or severe disagreement. The aim of any country is to maintain law and order and peace in the area. Violence detection thus becomes an important task for authorities to maintain peace. Traditional methods have existed for violence detection which are heavily dependent upon hand crafted features. The world is now transitioning in to Artificial Intelligence based techniques. Automatic feature extraction and its classification from images and videos is the …new norm in surveillance domain. Deep learning platform has provided us the platter on which non-linear features can be extracted, self-learnt and classified as per the appropriate tool. One such tool is the Convolutional Neural Networks, also known as ConvNets, which has the ability to automatically extract features and classify them in to their respective domain. Till date there is no survey of deciphering violence behaviour techniques using ConvNets. We hope that this survey becomes an exclusive baseline for future violence detection and analysis in the deep learning domain. Show more

Keywords: Violence detection, crowd behaviour, ConvNets, convolutional neural networks, deep learning, survey

DOI: 10.3233/JIFS-201400

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 5, pp. 7931-7952, 2020

Authors: Singh, Kuldeep | Singh, Shashank Sheshar | Kumar, Ajay | Biswas, Bhaskar

Article Type: Research Article

Abstract: Mining high utility itemsets (HUIs) is a basic task of frequent itemsets mining (FIM). In recent years, a trend in FIM has been to design algorithm for mining HUIs because FIM assumes that each item can not appear more than once in a transaction and all items have the same importance (weight, unit profit, price, etc.). However, in real-world, items appear more than once in a transaction and also have some importance. HUIs mining considers that items appear with some quantity and importance. Traditional HUIs mining algorithms assume that items have only positive unit profit. However, in real-world, items may …appear with negative unit profit also. For example, it is common that a retail store sells items at a loss to stimulate the sale of other related items or simply to attract customers to their retail location. Therefore, items occur with negative unit profit or negative utility. To consider negative unit profit, HUIs with negative utility has been introduced. This paper surveys recent studies on HUIs mining with negative utility and their applications. The main goal is to provide a survey of recent advancements and research opportunities. This paper presents key concepts and terminology related to HUIs mining with negative utility. This presents a taxonomy of all the algorithms consider negative utility. To the best of our knowledge, this is the first survey on the mining task of HUIs with negative utility. The paper also presents research opportunities and the challenges in HUIs mining problems. Show more

Keywords: High utility itemsets mining, utility mining, negative utility

DOI: 10.3233/JIFS-18965

Citation: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 6, pp. 6551-6562, 2018

Authors: Mehar, Virendra | Yadav, Dinesh | Kumar, Ravindra | Yadav, Summi | Singh, Kuldeep | Callewaert, Bert | Pathan, Shahnawaz | De Paepe, Anne | Coucke, Paul J.

Article Type: Research Article

Abstract: Congenital contractural arachnodactyly is a rare autosomal dominant disorder characterized by crumpled ears, congenital contractures, arachnodactyly and scoliosis. Only few cases have been described to date. Here we report a newborn with congenital contractures, crumpled ears and scoliosis. Molecular analysis revealed a novel fibrillin-2 mutation at the donor splice site of intron 28. We discuss the differential diagnosis of neonates with congenital contractures and review the current knowledge on congenital contractural arachnodactyly.

Keywords: Beals syndrome, congenital contractures, fibrillin-2, novel mutation

DOI: 10.3233/PGE-14093

Citation: Journal of Pediatric Genetics, vol. 3, no. 3, pp. 163-166, 2014