Advances in Micro-Electronics, Embedded Systems and IoT: Proceedings of Sixth International Conference on Microelectronics, Electromagnetics and Telecommunications (ICMEET 2021), Volume 1

by V. V. S. S. S. Chakravarthy (Editor), Wendy Flores-Fuentes (Editor), Vikrant Bhateja (Editor), B.N. Biswal (Editor)

Overview

This book discusses the latest developments and outlines future trends in the fields of microelectronics, electromagnetics and telecommunication. It contains original research works presented at the International Conference on Microelectronics, Electromagnetics and Telecommunication (ICMEET 2021), held in Bhubaneswar, Odisha, India during 27 – 28 August 2021. The papers were written by scientists, research scholars and practitioners from leading universities, engineering colleges and R&D institutes from all over the world and share the latest breakthroughs in and promising solutions to the most important issues facing today’s society.

Product Details

ISBN-13:	9789811685507
Publisher:	Springer-Verlag New York, LLC
Publication date:	04/22/2022
Series:	Lecture Notes in Electrical Engineering , #838
Sold by:	Barnes & Noble
Format:	eBook
File size:	109 MB
Note:	This product may take a few minutes to download.

About the Author

V. V. S. S. S. Chakravarthy is a professor in the Department of Electronics and Communication Engineering at Raghu Institute of Technology, Visakhapatnam. He is a senior member of Communication, Signal Processing and Antenna and Propagation Societies of IEEE. He is serving as a vice chair of IEEE COMSOC/SPS Joint Chapters of IEEE Vizag Bay Section. His research interests include computational intelligence, smart antenna, data modelling, machine learning and evolutionary computing tools. He has 18 years of teaching. He served as a co-editor to proceedings of third and fifth International Conference on Microelectronics, Electromagnetics and Telecommunications published in Lecture Notes in Electrical Engineering. He is also a life member of professional bodies like Instrumentation Society of India, International Computer Science and Engineering Society (ICSES) and Soft Computing Research Society. He published more than 40 journal and conference papers along with one Book Chapter which are indexed in SCOPUS and SCI.

Wendy Flores-Fuentes received the master’s degree in engineering from Technological Institute of Mexicali in 2006, and the Ph.D. degree in science, applied physics, with emphasis on optoelectronic scanning systems for SHM, from Autonomous University of Baja California in June 2014. She has more than 115 publications which includes journal articles in Elsevier, IEEE Emerald and Springer, book chapters and books in Intech, IGI global and Springer, proceedings articles in IEEE. She has been a panel reviewer of Taylor and Francis, IEEE, Elsevier, and EEMJ (Gh. Asachi Technical University of Iasi. Currently, she is a full-time professor-researcher at Universidad Autónoma de Baja California, at the Faculty of Engineering.

Vikrant Bhateja is an associate professor, Department of Electronics and Communication Engineering, Shri Ramswaroop Memorial Group of Professional Colleges (SRMGPC), Lucknow, and also the head (Academics and Quality Control) in the same college. His area of research includes digital image and video processing, computer vision, medical imaging, machine learning, pattern analysis and recognition, neural networks, soft computing and bio-inspired computing techniques. He has more than 90 quality publications in various international journals and conference proceedings. Professor Bhateja has been on TPC and chaired various sessions from the above domain in international conferences of IEEE and Springer. He has been the track chair and served in the core-technical/editorial teams for international conferences: FICTA 2014, CSI 2014 and INDIA 2015 under Springer-AISC Series and INDIACom-2015, ICACCI-2015 under IEEE. He is an associate editor in International Journal of Convergence Computing (IJConvC) and also an editorial board member of International Journal of Image Mining (IJIM) under Inderscience Publishers. At present, he isthe guest editors for two special issues floated in International Journal of Rough Sets and Data Analysis (IJRSDA) and International Journal of System Dynamics Applications (IJSDA) under IGI Global publications.

B. N. Biswal is currently working as a director (Academics) in Bhubaneswar Engineering College, Bhubaneswar, India. He has about 24 years of experience in teaching and research. He has completed his B. Tech. in Electronics Engineering from Baba Saheb Ambedkar Marathwada university, M.Tech in Communication System Engineering  from  VSSUT Burla and  Ph.D. in Computer Science From Utkal University, Vanivihar Bhubaneswar. He is a member of IEEE and life member of ISTE, IAENG and CSI. He is the editorial member of Springer   AISC-199,247,327,328. He has been delivering lecturers to the students of UG and PG in the areas such as  analog/ digital electronics and circuits., microprocessor and microcontrollers,computer organization and advanced architecture, digital communication technique and computer networking, digital signal processing and VLSI design, embedded system and computational intelligence. He is a good organizer holding national and international conferences and workshops. He has published many papers in national/international conferences, journals and books.

Table of Contents

Synthesis of KNN Algorithm in FPGA Technology.- Study of Architecture and Performance Analysis of Approximation Multipliers.- Design and Analysis of Energy Efficient Logic Gates Using INDEP Short Gate FinFETs at 10nm Technology Node.- SIMPLE-DRR: A New Energy-Efficient Multi-hop Routing Protocol in WBANs for Health Monitoring.- Design of Class AB and Class C Amplifier.- Lightgbm Model for Credit Card Fraud Discovery.- PV System Based Switched Capacitor Dc-Dc Converter for High Voltage Gain using fuzzy-PID Controller.- Startup Circuits for Zero Current Reduction in Bandgap Reference Circuit.- Recycle of Plastic Material for Fabrication of Paver Blocks.- Handwritten Cursive English Character Recognition using DAG-CNN.