Micro-Electronics and Telecommunication Engineering (eBook, PDF)

Proceedings of 6th ICMETE 2022

• Format: PDF

Produktbeschreibung

The book presents high-quality papers from the Sixth International Conference on Microelectronics and Telecommunication Engineering (ICMETE 2022). It discusses the latest technological trends and advances in major research areas such as microelectronics, wireless communications, optical communication, signal processing, image processing, big data, cloud computing, artificial intelligence, and sensor network applications. This book includes the contributions of national and international scientists, researchers, and engineers from both academia and the industry. The contents of this book are useful to researchers, professionals, and students alike.

Produktdetails

• Verlag: Springer Nature Singapore
• Erscheinungstermin: 1. Juni 2023
• Englisch
• ISBN-13: 9789811995125
• Artikelnr.: 68159553

Autorenporträt

Devendra Kumar Sharma received his B.E degree in Electronics Engineering from Motilal Nehru National Institute of Technology, Allahabad in 1989, M.E degree from Indian Institute of Technology Roorkee, Roorkee in 1992 and PhD degree from National Institute of Technology, Kurukshetra, India in 2016. He served PSU in different positions for more than 8 years in Q.A & Testing / R & D departments. Dr. Sharma joined the department of Electronics and Communication Engineering, Meerut Institute of Engineering and Technology, Meerut, Uttar Pradesh, India in October 2000 as Senior Lecturer and worked there till April 2018 at different capacities of Assistant Professor, Associate Professor, Professor and Dean Academics. He is currently working as Professor and Dean of SRM Institute of Science and Technology, Delhi-NCR Campus, Ghaziabad, India. Dr. Sharma has authored many papers in several international journals and conferences of repute. His research interests include VLSI interconnects, Electronic Circuits, Digital Design, Testing and Signal Processing. He is a reviewer of many international journals belonging to various publication houses such as IEEE, Elsevier, Emerald, World Scientific, and Springer. Dr. Sharma has participated in many International and National conferences as Session Chair, and member of Steering, Advisory and Technical Program Committees. He has been the Editor for several books / conference proceedings and has been the Organizing Chair for several international conferences. He is life member of ISTE, Fellow of IETE and Senior Member of IEEE.

Sheng-Lung Peng is a Professor of the Department of Creative Technologies and Product Design in National Taipei University of Business Taiwan, Honorary Professor in Beijing Information Science and Technology University, and Visiting Professor in Ningxia Institute of Science and Technology, China. He received a BS degree in Mathematics from National Tsing Hua University, and the MS and Ph.D. degrees in Computer Science from the National Chung Cheng University and National Tsing Hua University, Taiwan, respectively. He is an honorary Professor of Beijing Information Science and Technology University, China, and a visiting Professor of the Ningxia Institute of Science and Technology, China. He is also an adjunct Professor at Mandsaur University, India. He serves as the secretary-general of the ACM-ICPC Contest Council for Taiwan and the regional director of the ICPC AsiaTaipei-Hsinchu site. He is a director of the Institute of Information and Computing Machinery, of Information Service Association of Chinese Colleges and Taiwan Association of Cloud Computing. He is also a supervisor of the Chinese Information Literacy Association, of Association of Algorithms and Computation Theory.Dr. Peng has edited several special issues at journals, such as Soft Computing, Journal of Internet Technology, Journal of Real-Time Image Processing, International Journal of Knowledge and SystemScience, MDPI Algorithms, and so on. He is also a reviewer for more than 10 journals such as IEEE Access and Transactions on Emerging Topics in Computing,IEEE/ACM Transactions on Networking, Theoretical Computer Science, Journal of Computer and System Sciences, Journal of Combinatorial Optimization, Journal of Modelling in Management, Soft Computing, Information Processing Letters, Discrete Mathematics, Discrete Applied Mathematics, Discussiones Mathematicae Graph Theory, and so on. His research interests are in designing and analyzing algorithms for Bioinformatics, Combinatorics, Data Mining, and Networks areas in which he has published over 100 research papers.

Rohit Sharma is currently an Assistant Professor in the Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Delhi NCR Campus Ghaziabad, India. He is an active member of ISTE, IEEE, ICS, IAENG, and IACSIT. He is an editorial board member and reviewer of more than 12 international journals and conferences, including the topmost journal IEEE Access and IEEE Internet of Things Journal. He serves as a Book Editor for 7 different titles to be published by CRC Press, Taylor & Francis Group, USA and Apple Academic Press, CRC Press, Taylor & Francis Group, USA, Springer, etc. He has received the Young Researcher Award in "2nd Global Outreach Research and Education Summit & Awards 2019" hosted by Global Outreach Research & Education Association (GOREA). He is serving as Guest Editor in SCI journal of Elsevier. He has actively been an organizing end of various reputed International conferences. He is serving as an Editor and Organizing Chair to 3rd Springer International Conference on Microelectronics and Telecommunication (2019), and have served as the Editor and Organizing Chair to 2nd IEEE International Conference on Microelectronics and Telecommunication (2018), Editor and Organizing Chair to IEEE International Conference on Microelectronics andTelecommunication (ICMETE-2016) held in India, Technical Committee member in “CSMA2017, Wuhan, Hubei, China”, “EEWC 2017, Tianjin, China” IWMSE2017 “Guangzhou, Guangdong, China”, “ICG2016, Guangzhou, Guangdong, China” “ICCEIS2016 Dalian Liaoning Province, China”.

Gwanggil Jeon received the B.S., M.S., and Ph.D. (summa cum laude) degrees from the Department of Electronics and Computer Engineering, Hanyang University, Seoul, Korea, in 2003, 2005, and 2008, respectively. From 2009.09 to 2011.08, he was with the School of Information Technology and Engineering, University of Ottawa, Ottawa, ON, Canada, as a Post-Doctoral Fellow. From 2011.09 to 2012.02, he was with the Graduate School of Science and Technology, Niigata University, Niigata, Japan, as an Assistant Professor. From 2014.12 to 2015.02 and 2015.06 to 2015.07, he was a Visiting Scholar at Centre de Mathématiques et Leurs Applications (CMLA), École Normale Supérieure Paris-Saclay (ENS-Cachan), France. From 2019 to 2020, he was a Prestigious Visiting Professor at Dipartimento di Informatica, Università degli Studi di Milano Statale, Italy. He is currently a Full Professor at Incheon National University, Incheon, Korea. He was a Visiting Professor at Sichuan University, China, Universitat Pompeu Fabra, Barcelona, Spain, Xinjiang University, China, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand, and University of Burgundy, Dijon, France. Dr. Jeon is an IEEE Senior Member, an Associate Editor of Sustainable Cities and Society, IEEE Access, Real-Time Image Processing, Journal of System Architecture, and MDPI Remote Sensing. Dr. Jeon was a recipient of the IEEE Chester Sall Award in 2007, the ETRI Journal Paper Award in 2008, and Industry-Academic Merit Award by Ministry of SMEs and Startups of Korea Minister in 2020.

Inhaltsangabe

Smart home based on IoT by using machine learning.- Develop Model for Malicious Traffic Detection Using Deep Learning.- An Adaptive Opposition Learning-Improved Slime Mould Algorithm-Based Optimization Routing for guaranteeing Reliable Data Dissemination in FANETs.- Covid-19 Diagnosis based on Deep Features using Transfer Learning.

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Smart home based on IoT by using machine learning.- Develop Model for Malicious Traffic Detection Using Deep Learning.- An Adaptive Opposition Learning-Improved Slime Mould Algorithm-Based Optimization Routing for guaranteeing Reliable Data Dissemination in FANETs.- Covid-19 Diagnosis based on Deep Features using Transfer Learning.