This book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2022) held at Institute of Engineering & Management, Kolkata, India, during February 23–25, 2022. The book is organized in three volumes and includes high-quality research work by academicians and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers, and case studies related to all the areas of data mining, machine learning, Internet of Things (Io T), and information security.
Tabla de materias
Part 1: Computational Intelligence.- Chapter 1. Empowering Indian Citizens through the Secure E-Governance: The Digital India Initiative Context.- Chapter 2. A Performance Evaluation of Genetic Algorithm and Simulated Annealingfor the solution of TSP with profit using Python.- Chapter 3. Performance Assessment of DVR in a Solar-Wind Hybrid Renewable Energy Connected to Grid Using ANN.- Chapter 4. Development Of Io T Middleware Broker Communication Architecture for Industrial Automation With Focus on Future Pandemic Possibilities: Industry 5.0.- Chapter 5. Graceful Labeling of Hexagonal and Octagonal Snakes along a Path.- Chapter 6. Comparison and Analysis of Various Autoencoders.- Chapter 7. A new delta (δ)-doped partly insulated SOI MOSFET for analogue/RF applications.- Chapter 8. Energy Monitoring with Trend Analysis and Power Signature Interpretation.- Chapter 9. Analysis of Nav IC Signal Data for Topological Precision.- Part 2: Advance Computing.- Chapter 10. Experimental Study on Resource Allocation for a Software Defined Network based Virtualized Security Functions Platform.- Chapter 11. Smart Intelligent drone for painting using Io T: An automated approach for efficient painting.- Chapter 12. Auto-Guide for caroms playing using Io T.- Chapter 13. Blockchain Enabled Internet-Of-Vehicles on Distributed Storage.- Chapter 14. Utilizing Off-Chain Storage Protocol for Solving the Trilemma Issue of Blockchain.- Chapter 15. An empirical evaluation to measure the blended effect of Test-Driven Development with Looped Atriculation Method.
Sobre el autor
Dr. Paramartha Dutta is currently Professor in the Department of Computer and System Sciences in, Visva-Bharati University, Shantiniketan, India. He did Bachelors and Masters in Statistics from ISI, Kolkata, India. Subsequently, he did Master of Technology in Computer Science from ISI, Kolkata, India. He did Ph.D. (Engineering) from BESU, Shibpore, India. He is Co-author of eight authored books apart from thirteen edited books and more than 200 and 40 research publications in peer-reviewed journals and conference proceedings. He is Co-inventor of 17 published patents. He is Fellow of IETE, Optical Society of India, IEI, Senior Member of ACM, IEEE, Computer Society of India, International Association for Computer Science and Information Technology, and Member of Advanced Computing and Communications Society, Indian Unit of Pattern Recognition and AI—the Indian Affiliate of the International Association for Pattern Recognition, ISCA, Indian Society for Technical Education, System Society of India.
Dr. Abhishek Bhattacharya is Assistant Professor at Institute of Engineering & Management, India. He has completed his Ph.D. (CSE), BIT, Mesra. He is certified as Publons Academy Peer Reviewer, 2020. His research interests are data mining, cyber security, and mobile computing. She has published 25 conference and journal papers in Springer, IEEE, IGI Global, Taylor & Francis, etc. He has 3 chapters in Taylor & Francis Group EAI. He is Peer Reviewer and TPC Member in different international journals. He was Editor in IEMIS 2020, IEMIS 2018, and special issues in IJWLTT. He is Member of several technical functional bodies such as IEEE, IFERP, MACUL, SDIWC, Internet Society, ICSES, ASR, AIDASCO, USERN, IRAN, and IAENG. He has published 3 patents.
Dr. Soumi Dutta is Associate Professor at Institute of Engineering & Management, India. She has completed her Ph.D. (Engineering), IIEST, Shibpur. She received her B.Tech. (IT) and M.Tech. (CSE)securing 1st position (Gold medalist), from MAKAUT. She is certified as Publons Academy Peer Reviewer, 2020, and Certified Microsoft Innovative Educator, 2020. Her research interests are data mining, OSN data analysis, and image processing. She has published 30 conference and journal papers in Springer, IEEE, IGI Global, Taylor & Francis, etc. She has 5 chapters in Taylor-&-Francis Group and IGI-Global. She is Peer Reviewer and TPC Member in different international journals. She was Editor in CIPR-2020, CIPR2019, IEMIS-2020, CIIR-2021, and IEMIS-2018 special issues in IJWLTT. She is Member of several technical functional bodies such as IEEE, ACM, IEEE, IFERP, MACUL, SDIWC, Internet Society, ICSES, ASR, AIDASCO, USERN, IRAN, and IAENG. She has published 4 patents. She has delivered more than keynote talks in different international conferences.
Dr. Wen-Cheng Lai has been working in the field of radio frequency circuits, analog IC integrated design, microwave antenna, computer, and communication for more than 20 years. He completed his Ph.D. from National Taiwan University of Science and Technology. He has authored/co-authored more than 200 SCI indexed journals and IEEE conference/EI papers. He received the Ph.D. degree from the National Taiwan University of Science and Technology. He is Assistant Professor at the National Yunlin University of Science and Technology. He also worked as Executive Director of China Radio Association, Assistant Professor of National Yunlin University of Science and Technology, Assistant Professor of National Penghu University of Science and Technology, and Director of Asus Tek Computer Inc.
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