Evolving Technologies for Computing, Communication and Smart World (eBook, PDF)

Proceedings of ETCCS 2020
Redaktion: Singh, Pradeep Kumar; Khanna, Shaweta; Bhatnagar, Raj K.; Tanwar, Sudeep; Kolekar, Maheshkumar H.; Noor, Arti

• Format: PDF

Produktbeschreibung

This book presents best selected papers presented at the International Conference on Evolving Technologies for Computing, Communication and Smart World (ETCCS 2020) held on 31 January-1 February 2020 at C-DAC, Noida, India. It is co-organized by Southern Federal University, Russia; University of Jan Wyzykowski (UJW), Polkowice, Poland; and CSI, India. C-DAC, Noida received funding from MietY during the event. The technical services are supported through EasyChair, Turnitin, MailChimp and IAC Education. The book includes current research works in the areas of network and computing technologies, wireless networks and Internet of things (IoT), futuristic computing technologies, communication technologies, security and privacy.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 538
• Erscheinungstermin: 25. November 2020
• Englisch
• ISBN-13: 9789811578045
• Artikelnr.: 60670889

Autorenporträt

Dr. Pradeep Kumar Singh is currently working as an Associate Professor in the Department of CSE at Jaypee University of Information Technology (JUIT), Waknaghat, Himachal Pradesh.  Dr. Singh is a Senior Member of CSI and ACM. He is an Associate Editor of the IJAEC, IGI Global USA, SPY, Wiley & IJISC Journals. He has published 90 research papers. He has received three sponsored research projects grant worth Rs. 25 Lakhs. He has edited a total of 10 books from Springer and Elsevier and also edited several special issues for SCI and SCIE Journals from Elsevier and IGI Global. Dr. Arti Noor is presently working as Senior Director at CDAC, Noida. She has done her Ph.D. from IIT, BHU, in 1990. He has 20 years of teaching VLSI design related courses to M.E. students of BITS, Pilani, and CDAC Noida. She has guided six Ph.D. and guided 200 student's projects of B.Tech./M.Tech./M.E. and examined 100 M.Tech. theses. She has published 81 research papers in journals and conferences including monographs.   Dr. Maheshkumar H. Kolekar is working as an Associate Professor in the Department of Electrical Engineering at Indian Institute of Technology Patna, India. From 2008 to 2009, he was a Postdoctoral Research Fellow with the Department of Computer Science, University of Missouri, Columbia, USA. Dr. Sudeep Tanwar is an Associate Professor in the Computer Science and Engineering Department at the Institute of Technology of Nirma University, Ahmedabad, India. He has specialization in WSN, IOT and 5G Technology. He has authored or co-authored more than 90 technical research papers and five books. He has edited several special issues from IGI and Elsevier Journals. Prof. (Dr.) Raj K Bhatnagar is currently working as a Professor of Computer Science, Department of Electrical Engineering and Computing Systems, University of Cincinnati, USA. He completed his B.Tech. at IIT Delhi, India (1979), and Ph.D. at the University of Maryland, USA (1989). His research interests include data mining, AI and pattern recognition problems, knowledge discovery and big data and cloud computing environments. Dr. Shaweta Khanna is presently working as an Assistant Professor at JSS Academy of Technical Education, Noida, India. She has her expertise in the area of VLSI design, semiconductors, electronics design and circuits and IoT. She has done her Ph.D. from Guru Gobind Singh Indraprastha University, Delhi, India. She has published many papers in SCI and SCIE Journals from Taylor and Francis. Dr. Khanna has worked as Publicity Chair of many conferences of IEEE and Springer and organized several special sessions in conferences.

Inhaltsangabe

Towards Response Type Identification for the real-time.- Automatic Leaf Species Recognition using Deep Neural Network.- Injecting power attacks with voltage glitching and generation of clock attacks for testing fault injection attacks.- Traffic Jam Minimization and Accident Avoidance System Using IoT.- Software Reusability Estimation using Machine Learning Techniques- A Systematic Literature Review.- Unsupervised sentiment analysis with impact of reviewer's emotion.- Sentiment triggered share price prediction.