Communication and Intelligent Systems

This book gathers selected research papers presented at the Fourth International Conference on Communication and Intelligent Systems (ICCIS 2022), organized by the National Institute of Technology, Delhi, India, during December 1920, 2022. This book presents a collection of state-of-the-art research work involving cutting-edge technologies for communication and intelligent systems. Over the past few years, advances in artificial intelligence and machine learning have sparked new research efforts around the globe, which explore novel ways of developing intelligent systems and smart communication technologies. The book presents single- and multi-disciplinary research on these themes in order to make the latest results available in a single, readily accessible source. The work is presented in two volumes.

Presents research works in the field of communication and intelligent systems Includes original works presented at ICCIS 2022 held in Delhi, India Provides state of the art to research scholars and postgraduates from various domains of engineering and related fields

Auteur
Harish Sharma is an associate professor at Rajasthan Technical University, Kota, in the Department of Computer Science and Engineering. He has worked at Vardhaman Mahaveer Open University Kota and Government Engineering College Jhalawar. He received his B.Tech. and M.Tech. degree in Computer Engg. from Govt. Engineering College, Kota, and Rajasthan Technical University, Kota, in 2003 and 2009, respectively. He obtained his Ph.D. from ABV-Indian Institute of Information Technology and Management, Gwalior, India. He is the secretary and one of the founder members of Soft Computing Research Society of India. He is a lifetime member of Cryptology Research Society of India, ISI, Kolkata. He is an associate editor of "International Journal of Swarm Intelligence (IJSI)" published by Inderscience. He has also edited special issues of the many reputed journals like "Memetic Computing," "Journal of Experimental and Theoretical Artificial Intelligence," "Evolutionary Intelligence,"etc. His primary area of interest is nature-inspired optimization techniques. He has contributed more than 105 papers published in various international journals and conferences.

Dr. Vivek Shrivastava has approx. 20 years of diversified experience of scholarship of teaching and learning, accreditation, research, industrial, and academic leadership in India, China, and USA. Presently, he is holding the position of Dean of Research and Consultancy at the National Institute of Technology, Delhi. Prior to his academic assignments, he has worked as a system reliability engineer at SanDisk Semiconductors, Shanghai, China, and USA. Dr. Shrivastava has significant industrial experience collaborating with industry and government organizations at SanDisk Semiconductors; he has made a significant contribution to the design development of memory products. He has contributed to the development and delivery of Five-Year Integrated B. Tech- M. Tech Program (Electrical Engineering)and Master program ( Power Systems) at Gautam Buddha University Greater Noida. He has extensive experience in academic administration in various capacities of Dean (Research and Consultancy), Dean (Student Welfare), Faculty In-charge (Training and Placement), Faculty In-charge (Library), Nodal Officer (Academics, TEQIP-III), Nodal Officer RUSA, Experts in various committees in AICTE, UGC, etc. Dr. Shrivastava has carried out research and consultancy and attracted significant funding projects from the Ministry of Human Resources and Development, Government of India, Board of Research in Nuclear Science (BRNS) subsidiary organization of Bhabha Atomic Research Organization. Dr. Shrivastava has published over 80 journal articles, presented papers at conferences, and published several chapters in books. He has supervised 05 Ph.D. and 16 Master's students and currently supervising several Ph.D. students. His diversified research interests are in the areas of reliability engineering, renewable energy, and conventional power systems which include wind, photovoltaic (PV), hybrid power systems, distributed generation, grid integration of renewable energy, power systems analysis, and smart grid. Dr. Shrivastava is an editor/associate editor of the journals, International Journal of Swarm Intelligence (IJSI) and International Journal of System Assurance Engineering and Management. He is a fellow of the Institution of Engineers (India) and a senior member of the Institute of Electrical and Electronics Engineers (IEEE).

Dr. Kusum Bharti is an assistant professor at PDPM IIITDM Jabalpur. Dr. Bharti has obtained her Ph.D. in Computer Science and Engineering from ABV-IIITM Gwalior. She has guided 06 M.Tech. and presently guiding 02 Ph.D. students and 05 M.Tech. students. She has published more than 12 journal and conference papers in the area of text clustering, data mining, online social network, and soft computing. She has been an activemember of many organizing committees of various conferences, workshops, and faculty development programs. Her research areas include machine learning, data mining, machine translation, online social network, and soft computing.

Dr. Lipo Wang received Bachelor's degree from the National University of Defense Technology (China) and Ph.D. from Louisiana State University (USA). He is presently on the faculty of the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. His research interest is artificial intelligence with applications to image/video processing, biomedical engineering, and data mining. He has 330+ publications, a US patent in neural networks and a patent in systems. He has co-authored 2 monographs and (co-)edited 15 books. He has 8,000+ Google Scholar citations, with H-index 43. He was a keynote speaker for 36 international conferences. He is/was an associate editor/editorial board member of 30 international journals, including 4 IEEE Transactions, and a guest editor for 10 journal special issues. He was a member of the Board of Governors of the International Neural Network Society, IEEE Computational Intelligence Society (CIS), and the IEEE Biometrics Council. He served as a CIS vice-president for Technical Activities and chair of Emergent Technologies Technical Committee, as well as chair of Education Committee of the IEEE Engineering in Medicine and Biology Society (EMBS). He was the president of the Asia-Pacific Neural Network Assembly (APNNA) and received the APNNA Excellent Service Award. He was the founding chair of both the EMBS Singapore Chapter and CIS Singapore Chapter. He serves/served as a chair/committee member of over 200 international conferences.

Contenu
Development an PMSM Servo Driver for CNC Machines using TMS28379D Microcontroller.- A Probabilistic Method to Identify HTTP/1.1 Slow Rate DoS Attacks.- Transmission Pricing using MW Mile Method in Deregulated Environment.- Performance Analysis of Non-Linear Companding Techniques for PAPR Mitigation in 5G GFDM Systems.- Tensor Completion based Data Imputation Framework for IoT-based Underwater Sensor Network.- Pre-training Classification and Clustering Models for Vietnamese Automatic Text Summarization.- Identifying Critical Transition in Bitcoin Market using Topological Data Analysis and Clustering.- Healthcare Information Exchange using Blockchain Technology.- Multilevel Credit Card Fraud Detection Using Face Recognition and Machine Learning.- Transfer Learning based End-to-End Indian-English Recognition System.- Impact of COVID-19 on the Sectors of the Indian Economy and the World.- Wind Farm Layout Optimization Problem using Teaching Learning Based Optimization Algorithm.- An Ensemble Multimodal Fusion using Naive Bayes Approach for Haptic Identification of Objects.- Chaotic Maps and DCT based Image Steganography-cum-Encryption Hybrid Approach.- An Empirical …