Overview
- Lucent explanation of technology over Society 5.0, and Pros & Cons of Techno-Psychological Effects
- Behavior and sentiments analysis of smart digital societies using deep machine learning technologies
- Comprehensive analysis of Cloud-IoT Technologies, Industry 4.0, and Society 5.0 using intelligent machine learning
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Table of contents (10 chapters)
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Front Matter
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Back Matter
Keywords
- Cloud-IoT Technologies
- Deep Learning
- Sentiment Analysis
- Social Opinion Mining
- Suspicious Objects Surveillance
- Crowd Control System
- Distributive Computing
- Human Cognition
- m-Health Disease Prediction System
- Multi-access Edge Computing
- Pandas Libraries
- Smart Digital Society
- Society 5.0; Supervised Learning
- 5G Networks
- Convolution Neural Network
- Embedded Computing Technologies
- Intuitions Analysis
- Intelligent Machine Learning
- Multiple Disease Prediction System
- Road Traffic Management
About this book
This book provides in-depth knowledge in the areas of convergence of cloud-IoT technologies and industry 4.0 with society 5.0, machine-to-machine communication, machine-to-person communication, techno-psychological perspective of society 5.0, sentiment analysis of smart digital societies, multi-access edge computing for 5G networks, discovery & location reporting of multi-access edge enabled clients/servers, m-health systems, enhancing the concert of M-health technologies in smart societies, supervising communication services in smart societies, life quality enhancement in smart city societies, multiple disease infection predictions, and societal opinion mining algorithms for smart cities societies using cloud-IoT integrated intelligent machine / deep learning technologies to the readers in the distributive environment. In this book, the authors have mandatorily discussed the implementation of cloud-IoT based machine learning technologies like clustering technique, Naïve Bayes classifier, artificial neural network (ANN), Firefly algorithm, Rough set classifiers, support vector machine classifier, decision tree classifier, ensemble classifier, random forest, and deep learning algorithms to analyze the behavior of intelligent machines and human habits using automated data scheduling and smart digital networks.At present, we live in a self-motivated and dynamic global society where technologies and challenges are unexpectedly changing overnight. These rapid changes in globalization and technological advances are creating new market forces every day. Therefore, day-to-day innovation is essential for any business or institution to survive and flourish in such an atmosphere. Though, innovation is no longer just to create value to do good to individuals, societies, or organizations. The utmost purpose of innovation is to create a smart futuristic society where people can enjoy the best quality of life using natural resources and manmade technologies including cloud-IoT technologies, and industry 4.0. Hence, the innovators and their innovations must search for intelligent solutions to tackle major socio-technical problems and remove barriers of rural, urban and smart city societies.The smart digitization and intelligent implementation of manufacturing development processes are the necessities for today’s rural, urban, and smart city industries. All types of industries including development, manufacturing, and research are presently shifting from bunch production to customized production. The fast advancements in manufacturing technologies have an in-depth impact on all types of societies including societies of rural areas, urban areas, and smart cities. Industry 4.0 includes the Internet of Things (IoT), Industrial Internet, Smart Manufacturing, Cloud-based computing, and Manufacturing Technologies. The objective of this book is to establish linkage between the Industry 4.0 components and various rural, urban & smart city societies (including society 5.0) to bring actual prosperity where human values, peace of mind, human relations, man-machine-relations, and calmness will have utmost preference. These objectives can be achieved by the integration of human societal values, and social opinion mining (SOM) approaches with the existing technologies.
Authors and Affiliations
About the authors
Kamta Nath Mishra was born on August 15, 1973, in the Kushinagar district of Uttar Pradesh, INDIA. He received his Bachelor of Science (B.Sc., Maths) degree from the University of Gorakhpur, India, in 1992, and Master of Computer Application (MCA) degree from Madan Mohan Malviya Engineering College (Currently MMMUT), Gorakhpur, U. P., India in 1996. Dr. Mishra completed his M.Tech. (Software Systems) degree from Birla Institute of Technology and Science (BITS) Pilani, India in 2003 and Ph.D. (Engg.) from CSE department of B.I.T. Mesra – India, in May 2015.Dr. Mishra has more than twenty-one years of teaching and research experience. Currently, he is working as a senior faculty member (Associate Professor) at Dept. of CS&E, Birla Institute of Technology, India since August 2009; He has worked as a faculty member in the Department of Computer Science, University of Sebha (A public University), Libya, from October 2006 to July 2009. He was a senior lecturer at B.I.T. Mesra, (NoidaCampus) from July 2004 to September 2006. Dr. Mishra has worked as a senior project engineer from September 2003 to June 2004 and project engineer from September 2000 to August 2003, in Centre for Development of Advanced Computing (CDAC), Ministry of Communication & IT, Govt. of India, Noida, Uttar Pradesh. Before joining CDAC, Dr. Mishra worked as a lecturer in the CS&E department at Krishna Institute of Engineering & Technology (KIET), Ghaziabad, India, from July 1998 to August 2000. Dr. Mishra has published two authored research books (IGI Global USA, Springer), sixteen book chapters, and more than thirty-five research papers in journals and conferences of international repute. His research interest includes Biometric Systems, Image Processing, Analysis of Algorithms and Distributed Cloud Computing. Dr. Mishra is a professional member of IEEE Biometric Society USA, and ACM, USA.
Subhash Chandra Pandey completed his Ph.D. from Dr. APJ Abdul Kalam Technical University, Lucknow, India, and M.Tech in computer engineering from Motilal Nehru National Institute of Technology, Allahabad, UP, India. Presently, he is associated with the Birla Institute of Technology, India, as a Professor. He is a member of many professional bodies including "International Association of Engineers – Hong Kong", "Computer Science Teachers Association – USA" and "International Association of Artificial Intelligence and Law".
Dr. Pandey has also worked with the Ministry of Health, Saudi Arabia, and possesses deep insight into different technological issues related to the healthcare sector. He is regularly publishing research papers in reputed international journals and international conference proceedings. His research interests include the use of soft computing, evolutionary computing, bio-inspired computing, machine intelligence, and data mining in the domain of the medical sector. Moreover, he has published research papers in high-impact journals in the realm of "Philosophicalaspects of machine cognition and IoT". Nowadays, Dr. Pandey is working in the domain of "Cloud Computing and IoT" and how these emerging technologies can pragmatically be used in the health-care sector.Bibliographic Information
Book Title: Cloud-IoT Technologies in Society 5.0
Authors: Kamta Nath Mishra Ph.D., Subhash Chandra Pandey Ph.D.
DOI: https://doi.org/10.1007/978-3-031-28711-4
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Hardcover ISBN: 978-3-031-28710-7Published: 22 April 2023
Softcover ISBN: 978-3-031-28713-8Published: 23 April 2024
eBook ISBN: 978-3-031-28711-4Published: 21 April 2023
Edition Number: 1
Number of Pages: XXXII, 332
Number of Illustrations: 1 b/w illustrations
Topics: Computer Communication Networks, Computer Applications, Professional Computing, Cyber-physical systems, IoT