Cloud-IoT Technologies in Society 5.0
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Beschreibung
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 industry4.0. 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.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.
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
Autor*in
Kamta Nath Mishra Ph.D.
Themen in »Cloud-IoT Technologies in Society 5.0«
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