Modern Electronics Devices and Communication Systems

This book presents select and peer-reviewed proceedings of the International Conference on Smart Communication and Imaging Systems (MEDCOM 2021). The contents explore the recent technological advances in the field of next-generation electronics devices and communication systems. The topics include the design and development of smart, secure, and reliable future communication networks; satellite, radar, and microwave techniques for intelligent communication. The book also covers methods and applications of GIS and remote sensing; medical image analysis and its applications in smart health. This book can be useful for students, researchers, and professionals working in the field of communication systems and image processing.

Comprises of peer-reviewed papers presented during MEDCOM 2021 Focuses on latest imaging techniques and related medical/biomedical applications Serves as a valuable reference resource for academics and researchers across the globe

Auteur

Rajeev Agrawal is currently working as a professor and director at G. L. Bajaj Institute of Technology and Management, Greater Noida, India. Has an illustrated experience of more than 25years in teaching and research, holds a B.E. degree in Electronics Engineering and M. Tech. degree in System Engineering. He received Ph.D. in the area of Wireless Communication Channels from the School of Computer & System Sciences, JNU, New Delhi. He was visiting professor at Kennesaw State University, Georgia, the USA under a joint research project in the area of Remote Patient Monitoring & Medical Imaging in the years 2010 and 2011. His research areas include planning and performance analysis of wireless networks and medical image analysis for automated diagnosis. He has more than 56 publications in international journals and proceedings. He has been awarded by various state and national agencies for his contribution to research and academics. He is also serving as a reviewer for several reputed international journals.

Chandramani Kishore Singh is currently an assistant professor with the department of electronic systems engineering, Indian Institute of Science, Bengaluru. He received M.E. and Ph.D. degrees in electrical communication engineering from the Indian Institute of Science, Bengaluru, India, in 2005 and 2012, respectively. He worked as a wireless communications engineer in ESQUBE Communications Solutions Pvt. Ltd., Bengaluru, from 2005 to 2006. He was a post-doctoral researcher with TREC, a joint research team between INRIA Rocquencourt and ENS Paris from 2012 to 2013, and with the Coordinated Science Laboratory, the University of Illinois at Urbana Champaign, USA, from 2013 to 2014. His research interests include communication networks, data centers, and smart grids. He has published more than 30 papers in respected international journals and conferences. Dr. Chandramani has also received the Microsoft Research India Rising Star Award in 2011.

Ayush Goyal is an Assistant Professor in the Department of Electrical Engineering and Computer Science at Texas A & M University, Kingsville, Texas. He completed his B.S. in electrical engineering from Boise State University (BSU), Boise, U.S.A, and Ph.D. in Computer Science from Oxford University, Oxford, UK. He was a postdoctoral research fellow in the department of computer science, Tulane University, New Orleans, US. His areas of research interest are neurological disease prediction, brain MRI image analysis, and bioinformatics for connected healthcare. He has more than 40 publications in international journals and proceedings. He was awarded the Clarendon scholarship to pursue Ph.D. at Oxford University.

Dinesh Kumar Singh is an Associate Professor in the Department of Electronics and Communication Engineering, G L Bajaj Institute of Technology and Management. He completed his B.E. from Kumaon Engineering College, Almora, and M.E. from Rajeev Gandhi Proudyogiki Vishwavidyalaya, M.P. He got his Ph.D. degree from the Indian Institute of Technology Dhanbad. He has published several research papers in international journals and conferences. Dr. Singh's teaching and research areas are microwave engineering, antenna and wave propagation, and electromagnetic field theory. Dr. Singh is presently supervising 2 Ph.D. students.

Contenu
A Review of State of Art Techniques for 3D Human Activity Recognition System.- Comparative Analysis for Email Spam Detection Using Machine Learning Algorithms.- Post Quantum Cryptography: A Solution to the Challenges of Classical Encryption Algorithms.- A Survey on Performance Analysis of Different Architectures of AES Algorithm on FPGA.- Designing Adiabatic Techniques for Logic Circuits.- Accuracy and Performance of Heart Failure Prediction System by Using Back-propagation Network (BPN).- Analysis and Implementation of Microsoft Azure Machine Learning Studio Services with respect to Machine Learning Algorithms.- Design and Analysis of Dual-band Compact Antenna for 5G Communication Applications.- Design and Analysis of Graphene based Meta- Surface Absorber for Temperature and Refractive Index Sensing in THz Spectrum.- Optimizing and Validating Performance of 40Gbps Optical System.