G. Rajesh - Industry 4.0 Interoperability, Analytics, Security, and Case Studies
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Industry 4.0 Interoperability, Analytics, Security, and Case Studies
Big Data for Industry 4.0: Challenges and Applications
Sandhya Makker, K. Martin Sagayam, and Rohail Hassan
Industry 4.0 or fourth industrial revolution refers to interconnectivity, automation and real time data exchange between machines and processes. There is a tremendous growth in big data from internet of things (IoT) and information services which drives the industry to develop new models and distributed tools to handle big data. Cutting-edge digital technologies are being harnessed to optimize and automate production including upstream supply-chain processes, warehouse management systems, automated guided vehicles, drones etc. The ultimate goal of industry 4.0 is to drive manufacturing or services in a progressive way to be faster, effective and efficient that can only be achieved by embedding modern day technology in machines, components, and parts that will transmit real-time data to networked IT systems. These, in turn, apply advanced soft computing paradigms such as machine learning algorithms to run the process automatically without any manual operations. The new book series will provide readers with an overview of the state-of-the-art in the field of Industry 4.0 and related research advancements. The respective books will identify and discuss new dimensions of both risk factors and success factors, along with performance metrics that can be employed in future research work. The series will also discuss a number of real-time issues, problems and applications with corresponding solutions and suggestions. Sharing new theoretical findings, tools and techniques for Industry 4.0, and covering both theoretical and application-oriented approaches. The book series will offer a valuable asset for newcomers to the field and practicing professionals alike. The focus is to collate the recent advances in the field, so that undergraduate and postgraduate students, researchers, academicians, and industry people can easily understand the implications and applications of the field.
Industry 4.0 Interoperability, Analytics, Security, and Case Studies
G Rajesh, Raajini X. Mercilin and Hein Dang Thi Thu
For more information about this series, please visit: https://www.routledge.com/Big-Data-for-Industry-4.0-Challenges-and-Applications/book-series/CRCBDICA
Industry 4.0 Interoperability, Analytics, Security, and Case Studies
Edited by
G. Rajesh, X. Mercilin Raajini, and Hien Dang
First edition published 2021
by CRC Press
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and by CRC Press
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2021 Taylor & Francis Group, LLC
CRC Press is an imprint of Taylor & Francis Group, LLC
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ISBN: 978-0-367-50112-9 (hbk)
ISBN: 978-1-003-04885-5 (ebk)
Typeset in Times
by Deanta Global Publishing Services, Chennai, India
Contents
Nguyen Tuan Thanh Le and Manh Linh Pham
Puja Das, K. Martin Sagayam, AsikRahaman Jamader, and Hung Nguyen
A. Saranya, Mohak Narang, R. Anandan, S. Aruna, and Balaganesh
A. Sivasangari, D. Deepa, Chiung Ching Peter Ho, M.S. Roobini, and R. Vignesh
Srinivasan Selvaraj, Raja Kothandaraman, Kannan Kaliyan, and Pratheepan Thuraiyappah
G. Jaspher W. Kathrine, Bahman Javadi, J. Dinesh Peter, and G. Matthew Palmer
S. Karthikeyan, K. Vimala Devi, and K. Valarmathi
M. Yuvaraju and P.M. Benson Mansingh
A. Sivasangari, R. M. Gomathi, A. Jesudoss, L. Lakshmanan, K. Indira, and T. Samraj Lawrence
A. Devi, M. Julie Therese, P. Dharani Devi, and T. Ananth Kumar
M.R. Ebenezar Jebarani, P. Kavipriya, S. Lakshmi, and Nehru Kandasamy
T. Ananth Kumar, S. Arunmozhi Selvi, R.S. Rajesh, and G. Glorindal
D.R. Anita Sofia Liz, M. Stefi Vinciya, H. Saagarika, and A. Kapil Ramachandran
Rajakumar Arul, Raja Kothandaraman, Kannan Kaliyan, and Nizar Banu P.K.
A. Jaya, P. Sheik Abdul Khader, A. Abdul Azeez Khan, K. Javubar Sathick, L. Arun Raj, and Ho Chiung Ching
G. Rajesh is an Assistant Professor in the Department of Information Technology at Anna University, Chennai, India. He earned a PhD in trust-based temporal data aggregation for energy-constrained wireless sensor networks at Anna University in 2016. He did postgraduate in computer science engineering at the Government College of Engineering, Tirunelveli under Anna University. He earned an undergraduate degree in information technology at AVC College of Engineering at Anna University. He has 12 years of teaching and research experience. His area of research interest includes wireless sensor networks and its IoT applications, software engineering machine learning, data analysis, and computational optimization. His research contributions include 3 patents from India, 2 authored books, 2 edited books, and many articles in reputed international journals and at conferences. He also is a reviewer at reputed journals and conferences. He is an active member of IEEE, SAEINDIA, the Society of Automotive Engineers, and the International Association of Engineers (IAENG).
X. Mercilin Raajini is an Associate Professor in the Department of Electronics and Communication at Prince Shri Venkatesahwara Padmavathy Engineering College at Anna University, Chennai, India. She earned a PhD in enhanced routing techniques for energy management in wireless sensor networks at Anna University, India in 2016. She completed postgraduate work in power electronics and drives at Government College of Engineering, Tirunelveli at Anna University in 2007. She earned an undergraduate degree in electronics and communication at Noorul Islam College of Engineering, under MS University in 2001. She has 15 years of teaching and research experience. Her area of research interest includes wireless sensor networks and its IoT applications, signal processing, machine learning, and computational optimization. Her research contributions include 2 patents from India, 3 authored books, 2 edited books, and many published articles in international journals and at conferences. She also is a reviewer for reputed journals and conferences. She is an active member of ISTE, SAEINDIA, and the Society of Automotive Engineers.
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