Application Research of Manuscript Writing Robot Based upon Laser Sensor in News Dissemination Field
Author: 
Lijia Huang Academic Editor: Nima Jafari NavimipourAuthors Info & Claims
Abstract
Under the background of the information and data age, intelligent technology has had a large and profound impact on the production field of each industry, and the field of news dissemination has inevitably become one of them. With the rapid development of new media technologies, the traditional news production model has been impacted by the development of the times. Out of the needs of the transformation and upgrading of its own industry and the further development of laser sensor smart technology, a manuscript writing robot based on laser sensors came into being. Manuscript writing robot is the first time in the history of the development of news dissemination that the main body of news manuscripts has been changed from a natural person to a machine, realizing the transformation of the news production process from semifixed to completely relying on machine automation. This paper first briefly introduces the manuscript writing robot’s working principle and work characteristics, analyzes its influence on other aspects, then models the machine hardware system, and finally conducts a quality comparison test between the manuscript writing robot and traditional artificial news production. Through the analysis of experimental data, the language organization ability of the manuscript writing robot is generally inferior to the traditional artificial language organization ability. However, the quality of manuscript writing robot data is 1.1 times that of traditional humans, and the speed of producing news is also 1.3 times faster than traditional humans. In terms of the depth and breadth of the scope of news, the overall average value of writing robots is 0.475 higher than that of traditional humans. Generally speaking, manuscript writing robots have clear advantages compared with traditional manual labor in news production and have a large room for development.
References
[1]
R. Daniel, “Robot sensor controller board,” Circuit cellar, vol. 50, 2017.
[2]
E. Villagrossi, C. Cenati, and N. Pedrocchi, “Flexible robot-based cast iron deburring cell for small batch production using single-point laser sensor,” International Journal of Advanced Manufacturing Technology, vol. 92, no. 5, pp. 1–14, 2017.
[3]
Z. Yanbiao and C. Xiangzhi, “Hand–eye calibration of arc welding robot and laser vision sensor through semidefinite programming,” Industrial Robot: An International Journal, vol. 45, no. 5, pp. 597–610, 2018.
[4]
Y. Liu and X. Tian, “Robot path planning with two-axis positioner for non-ideal sphere-pipe joint welding based on laser scanning,” The International Journal of Advanced Manufacturing Technology, vol. 105, no. 1-4, pp. 1295–1310, 2019.
[5]
J. Ge, Z. Deng, and Z. Li, “Robot welding seam online grinding system based on laser vision guidance,” The International Journal of Advanced Manufacturing Technology, vol. 116, no. 5, pp. 1737–1749, 2021.
[6]
V. Pachkawade, D. Cerica, S. Dricot, S. Stoukatch, and M. Kraft, “Direct laser writing to fabricate capacitively transduced resonating sensor,” Microsystem Technologies, vol. 26, no. 2, pp. 547–562, 2020.
[7]
Y. Pang, B. K. Chen, W. Liu, S. F. Yu, and S. N. Lingamanaik, “Development of a non-contact and non-destructive laser speckle imaging system for remote sensing of anisotropic deformation around fastener holes,” NDT & E International, vol. 111, no. Apr., pp. 102219.1–102219.14, 2020.
[8]
J.-Y. Park and J.-R. Lee, “Application of the ultrasonic propagation imaging system to an immersed metallic structure with a crack under a randomly oscillating water surface,” Journal of Mechanical Science and Technology, vol. 31, no. 9, pp. 4099–4108, 2017.
[9]
W. Lee, D. B. Kim, M. H. Song, and D. K. Yoon, “Optofluidic ring resonator laser with an edible liquid laser gain medium,” Optics Express, vol. 25, no. 13, pp. 14043–14048, 2017.
[10]
R. L. Kiscaden, “Know thy customers’ preferences and give them the gift of choice,” Air conditioning, Heating & Refrigeration News, vol. 265, no. 3, p. 22, 2018.
[11]
S. M. Bueno and Trenchless Technology, vol. 28, no. 7APP., p. 6, 2019.
[12]
Plastics News Group, “Ube, MHI complete merger of injection machine businesses,” Plastics News, vol. 109, no. 1, p. 24, 2017.
[13]
G. Pirlo, R. Plamondon, and E. Anquetil, “Guest editorial special issue on drawing and handwriting processing for user-centered systems,” IEEE Transactions on Human-Machine Systems, vol. 47, no. 2, pp. 165–168, 2017.
[14]
T. J. Froehlich, “The role of pseudo-cognitive authorities and self-deception in the dissemination of fake news,” Open Information Science, vol. 3, no. 1, pp. 115–136, 2019.
[15]
J. Iqbal and Z. H. Khan, “The potential role of renewable energy sources in robot’s power system: a case study of Pakistan,” Renewable and Sustainable Energy Reviews, vol. 75, no. 75, pp. 106–122, 2017.
[16]
L. Chang, E. L. Shengbo, and H. Karl, “Measurement dissemination-based distributed bayesian filter using the latest-in-and-full-out exchange protocol for networked unmanned vehicles,” IEEE Transactions on Industrial Electronics, vol. 64, no. 11, pp. 8756–8766, 2017.
[17]
R. K. Kaliyar, A. Goswami, and P. Narang, “EchoFakeD: improving fake news detection in social media with an efficient deep neural network,” Neural Computing & Applications, vol. 33, pp. 8597–8613, 2021.
[18]
C. Rémi, R. David, M. Guillaume, M. Pierre, and V. Marie-Aude, “Precisely positioning the tip of an instrument inserted through an orifice with a free wrist robot: application to prostate biopsies,” International Journal of Computer Assisted Radiology and Surgery, vol. 13, no. 5, pp. 611–618, 2018.
[19]
K. Sharma and R. Doriya, “Coordination of multi-robot path planning for warehouse application using smart approach for identifying destinations,” Intelligent Service Robotics, vol. 14, no. 2, pp. 313–325, 2021.
[20]
R. Wang, Y. Wei, H. Song, Y. Jiang, Y. Guan, X. Song, and X. Li, “From offline towards real-time verification for robot systems,” IEEE Transactions on Industrial Informatics, vol. 14, no. 4, pp. 1712–1721, 2018.
[21]
G. Carriere, M. Benoussaad, and V. Wagner, “Off-line correction method suitable for a machining robotapplication to composite materials,” The International Journal of Advanced Manufacturing Technology, vol. 110, no. 9-10, pp. 1–15, 2020.
[22]
L. Jill, “DeVries. Know when a SCARA robot is the right choice for your application,” Assembly, vol. 61, no. 3 Suppl., pp. 48–49, 2018.
[23]
S. Manoharan and R. Senthilkumar, “An intelligent fuzzy rule-based personalized news recommendation using social media mining,” Computational Intelligence and Neuroscience, vol. 2020, 10 pages, 2020.
[24]
T.-Y. Kim, S.-H. Kim, and H. Ko, “Design and implementation of BCI-based intelligent upper limb rehabilitation robot system,” ACM Transactions on Internet Technology, vol. 21, no. 3, 2021.
[25]
C. Romero-González, J. Martínez-Gómez, I. García-Varea, and L. Rodríguez-Ruiz, “On robot indoor scene classification based on descriptor quality and efficiency,” Expert Systems with Applications, vol. 79, no. Aug., pp. 181–193, 2017.
Recommendations
Robot Brush-Writing System of Chinese Calligraphy Characters
Intelligent Robotics and ApplicationsAbstractIn this paper, robot calligraphy systems is developed to write Chinese brush characters dynamically. The BBOD algorithm of stroke extraction is optimized by adding a rule for merging stroke. the results show that the accuracy of stroke extraction ...
An Algorithm for Segmentation of Conglutinate Manuscript Financial Chinese Characters Based on the Character of Stroke
PACIIA '08: Proceedings of the 2008 IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application - Volume 01In electronic commerce and the infomationization of finance, the recognition of manuscript financial Chinese characters by means of computer is a realm of significance and challeng. The key in this realm is the segmentation of the image of Chinese ...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
Copyright © 2022 Lijia Huang.
This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Publisher
John Wiley and Sons Ltd.
United Kingdom
Publication History
Published: 01 January 2022
Qualifiers
- Research-article
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 0Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0
Reflects downloads up to 14 Dec 2024