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Submit a ProposalCyber-Physical Systems for Innovating and Transforming Society 5.0
 | Edited by Tanupriya Choudhury, Abhijit Kumar, Ravi Tomar, S. Balamurugan and Ankit Vishnoi Copyright: 2025 | Expected Pub Date:2024/12/30 ISBN: 9781394197712 | Hardcover | 272 pages |
One Line Description
The book presents a suite of innovative tools to reshape society into an
interconnected future where technology empowers humans to efficiently
resolve pressing socio-economic issues while fostering inclusive growth.
Audience
The book will be beneficial to researchers, engineers, and students in multiple disciplines, including the legal system, medical systems, intelligent societal constructs, integrated cyber-physical systems, and innovative agricultural practices.
The book will be beneficial to researchers, engineers, and students in multiple disciplines, including the legal system, medical systems, intelligent societal constructs, integrated cyber-physical systems, and innovative agricultural practices.
Description
This book introduces a spectrum of pioneering advancements across various sectors within Society 5.0, all underpinned by cutting-edge technological innovations. It aims to deliver an exhaustive collection of contemporary concepts, practical applications, and groundbreaking implementations that have the potential to enhance diverse areas of society. Society 5.0 signifies human advancement and is distinguished by its unique synthesis of cyberspace with physical space. This integration harnesses data gathered via environmental sensors, processed by artificial intelligence, to enhance real-world interactions. This volume encompasses an extensive array of scholarly works with detailed insights into fields such as image processing, natural language processing, computer vision, sentiment analysis, and analyses based on voice and gestures.
The content presented will be beneficial to multiple disciplines, including the legal system, medical systems, intelligent societal constructs, integrated cyber-physical systems, and innovative agricultural practices. In summary, Cyber-Physical Systems for Innovating and Transforming Society 5.0 presents a suite of innovative tools to reshape society into an interconnected future where technology empowers humans to efficiently resolve pressing socio-economic issues while fostering inclusive growth.
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This book introduces a spectrum of pioneering advancements across various sectors within Society 5.0, all underpinned by cutting-edge technological innovations. It aims to deliver an exhaustive collection of contemporary concepts, practical applications, and groundbreaking implementations that have the potential to enhance diverse areas of society. Society 5.0 signifies human advancement and is distinguished by its unique synthesis of cyberspace with physical space. This integration harnesses data gathered via environmental sensors, processed by artificial intelligence, to enhance real-world interactions. This volume encompasses an extensive array of scholarly works with detailed insights into fields such as image processing, natural language processing, computer vision, sentiment analysis, and analyses based on voice and gestures.
The content presented will be beneficial to multiple disciplines, including the legal system, medical systems, intelligent societal constructs, integrated cyber-physical systems, and innovative agricultural practices. In summary, Cyber-Physical Systems for Innovating and Transforming Society 5.0 presents a suite of innovative tools to reshape society into an interconnected future where technology empowers humans to efficiently resolve pressing socio-economic issues while fostering inclusive growth.
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Author / Editor Details
Tanupriya Choudhury, PhD, is a professor and Associate Dean of Research at Graphic Era University, Dehradun, India, and a visiting professor at Daffodil International University, Bangladesh, with 15 years of research and teaching experience. He has published hundreds of papers in national and international journals and conferences, and more than 30 books and book chapters. He has also filed 25 patents and secured copyrights for 16 software programs for India’s Ministry of Human Resource Development.
Tanupriya Choudhury, PhD, is a professor and Associate Dean of Research at Graphic Era University, Dehradun, India, and a visiting professor at Daffodil International University, Bangladesh, with 15 years of research and teaching experience. He has published hundreds of papers in national and international journals and conferences, and more than 30 books and book chapters. He has also filed 25 patents and secured copyrights for 16 software programs for India’s Ministry of Human Resource Development.
Abhijit Kumar, PhD, is an assistant professor in the School of Computer Science, University of Petroleum and Energy Sciences, Dehradun, India, with more than 13 years of academic and industry experience. He has published two patents and many research papers in international peer-reviewed journals and conferences. He is also a seasoned speaker and is a member of several professional bodies, including the International Association of Computer Science and Information Technology, Singapore; the International Association of Engineers, Hong Kong; and the Universal Association of Computer and Electronics Engineers.
Ravi Tomar, PhD, is a Senior Architect for Persistent Systems, India, with a history as an experienced academician in the higher education industry. He has trained numerous national and international corporations, including Confluent Apache Kafka, KeyBank, Accenture, and the Union Bank of the Philippines. He is skilled in programming, computer networking, stream processing, Python, Oracle database, C++, core Java, and CorDApp.
S. Balamurugan, PhD, is the Director of Research and Development, Intelligent Research Consultancy Services (iRCS), Coimbatore, Tamil Nadu, India. He is also Director of the Albert Einstein Engineering and Research Labs (AEER Labs), as well as Vice-Chairman of the Renewable Energy Society of India (RESI), India. He has published 50+ books, 200+ international journals/conferences, and 35 patents.
Ankit Vishnoi, PhD, is an associate professor at Graphic Era University, Dehradun, India, with over 19 years of comprehensive experience in academia and industry. He has published 20 research articles in esteemed journals and conferences, and holds two patents. Notably, he was involved in a Department of Science and Technology project during his tenure at the University of Petroleum and Energy Sciences, Dehradun.
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Table of Contents
Preface
Acknowledgement
1. Revolutionizing Legal Operations: Benefits and Best Practices of Cyber‑Physical Systems in Society 5.0
Ravi Kant, Anil Kumar Dixit and Reena Roy
1.1 Introduction
1.1.1 Cyber–Physical System
1.1.2 CPS Usage in the Legal Field
1.2 Benefits of CPS in the Legal Field
1.2.1 Increased Efficiency
1.2.2 Enhanced Security
1.2.3 Improved Collaboration
1.2.4 Predictive Analytics
1.3 Applications of CPS in the Legal Field
1.3.1 Case Management
1.3.2 Contract Management
1.3.3 Document Management
1.3.4 Legal Research
1.3.5 Litigation Support
1.4 Challenges of Implementing CPS in the Legal Field
1.4.1 Resistance to Change
1.4.2 Cost of Implementation
1.4.3 Security Concerns
1.4.4 Complexity of Integration
1.5 Best Practices for Implementing CPS in the Legal Field
1.5.1 Understanding the Business Case for CPS
1.5.2 Assess the Technology Panorama
1.5.3 Develop a Comprehensive Implementation Plan
1.5.4 Ensure Statistics’ Privacy and Security
1.5.5 Provide Adequate Schooling and Support
1.6 Examples of Successful CPS Implementation within the Legal Field
1.6.1 Law Firms
1.6.2 Corporate Legal Departments
1.6.3 Legal Technology Companies
1.7 Future of CPS
1.7.1 Potential for In-Addition Integration with Different Rising Technology
1.7.2 Potential for Extra Performance and Cost Savings
1.7.3 Potential for Extended Accuracy and Effectiveness of Criminal Methods
1.8 Conclusion
1.8.1 Recap of Benefits and Challenges of CPS in the Legal Field
1.8.2 Future Outlook for CPS Inside the Legal Subject
1.8.3 Way Forward
References
2. Integrating Predictive Capabilities and Voice Biometric Authentication in Voice Assistants
Sonali Behura, Ashima Narang, Priyanka Vashisht and Aman Jatain
2.1 Introduction
2.2 Literature Review
2.3 Methodology
2.4 Discussion and Result
2.4.1 Limitations
2.5 Conclusion and Future Scope
References
3. Leveraging Cloud Computing in Cyber‑Physical Systems for Innovative Society 5.0
Avinash Kumar Saxena and Priyanka Vashisht
3.1 Introduction
3.2 Scope and Objective
3.3 Overview
3.4 Layers of Metaverse
3.5 Social and Technological Challenges
3.6 Evolution
3.7 Social and Cultural Implications
3.8 Limitation
3.9 Conclusion
References
4. Drone Management System to Detect Fire and Potholes on the Road Towards Smart City
Shubham Adhikary, Agniswari Guha and Sayan Majumder
4.1 Introduction
4.1.1 Management Mechanism
4.1.2 Pothole Detection
4.1.3 Fire Detection
4.2 Proposed Methodology
4.2.1 Acquisition of the Dataset
4.2.1.1 Deep Learning Model for Pothole and Fire Detection
4.2.2 Family YOLO
4.2.3 YOLO V5
4.2.3.1 Framework Used
4.2.3.2 Benefits of YOLOv5
4.3 Experimentation and Results
4.3.1 Data Annotations
4.3.2 Test Systems
4.3.3 Performance Metrics
4.3.3.1 Performance with Pothole Dataset Using YOLOv5
4.3.3.2 Performance with Fire Dataset Using YOLOv5x
4.4 Conclusion
References
5. A Comprehensive Approach to Cybersecurity and Healthcare Systems Using Artificial Intelligence and Robotics
Harshvardhan P. Ghongade and Anjali A. Bhadre
5.1 Introduction
5.1.1 Hypothesis
5.1.1.1 What are the General Problems in Cybersecurity?
5.1.1.2 What are the General Problems in Healthcare?
5.1.1.3 What is the Significance of AI and the Field of Robotics?
5.1.1.4 What are the Challenges of AI in Cybersecurity and Healthcare and How
can these be Overcome?
5.1.1.5 What is the Current State of Research in AI in Terms of Cybersecurity and Healthcare?
5.1.1.6 What is the Future of AI from a Cybersecurity and Healthcare Perspective?
5.2 Methodology
5.2.1 Applications of AI in Cybersecurity Defense
5.2.2 Applications of AI in Healthcare
5.2.3 Data Source
5.2.4 Exploration Criteria
5.2.5 Artificial Intelligence and Robotics
5.2.5.1 Characteristics of Artificial Intelligence
5.2.5.2 The Robotics Field
5.3 Conclusion
5.4 Future Direction
References
6. Nonlinear Power Law Modeling for Test Vehicle Structural Response
Harshvardhan P. Ghongade and Anjali A. Bhadre
6.1 Introduction
6.2 Theory
6.2.1 Linear Closure Phase Force-Deflection Model
6.2.2 Power Law Closure Phase Force-Deflection Model
6.2.3 Linear Separation Phase Force-Deflection Model
6.2.4 Power Separation Phase Force-Deflection Model
6.2.5 Power Law Kinematic Response
6.3 Methods and Materials
6.4 Results
6.5 Discussion
References
7. Key Matrix Generation Techniques for Hill Cipher Cryptosystem – A Comparative Study
Maharshi S. Pandya, Vrajesh S. Brahmbhatt, Arvik J. Shah, Rajeev Kumar Gupta and Abhijit Kumar
7.1 Introduction
7.2 Literature Review
7.3 Hill Cipher
7.4 Key Generation Methods for Hill Cipher
7.4.1 Magic Rectangle Method for the Generation of Key Matrix for Hill Cipher
7.4.2 A Generation of Self-Invertible Matrix for Hill Cipher Algorithm
7.4.3 A Generation of Self-Invertible Matrix Using Generic Approach
7.4.4 Alternate Approach for a Generation of Self-Invertible Matrix
7.5 Methodology for Comparative Study
7.5.1 Background and Overview
7.5.2 Security Aspect
7.5.3 Quality of the Techniques
7.5.4 Implementation Ease
7.5.5 Limitations
7.6 Conclusion and Future Prospects
References
8. Machine Learning-Based Spotify Song Prediction
Meenakshi Jha, Devansh Vyas, Dhruv Mehta, Jai Maru, Abhijit Kumar and Rajeev Kumar Gupta
8.1 Introduction
8.2 Literature Review
8.3 Methodology
8.4 Experimental Results
8.4.1 Task 1: Time Series Analysis
8.4.2 Task 2: Recommended Artists
8.4.3 Task 3: Popularity Rating
8.4.4 Task 4: Differentiate Genres
8.5 Conclusion
References
9. Artificial Intelligence and Sentiment Analysis in Political Campaigns
Amit Das and Sanjeev Malaviya
9.1 Introduction
9.2 Artificial Intelligence and Sentiment Analysis in Modern Politics
9.3 Artificial Intelligence: A Catalyst for Political Transformation
9.4 Sentiment Analysis: Deciphering the Public Pulse
9.5 Applications AI and Sentiment Analysis in Modern Politics
9.6 Ethical Considerations
9.7 Artificial Intelligence in Political Campaigns
9.8 Use of Sentiment Analysis in Political Campaigns
9.9 Interrelated Variable Matrix for AI and Sentiment Analysis in Modern Politics
9.10 Cambridge Analytica: Data Scandal of Digital Politics
9.11 Digital Politics
9.12 Conclusion
References
10. Digital Platforms and Leveraging Technologies to Enhance Learner Engagement
Amit Das and Sanjeev Malaviya
10.1 Introduction
10.2 Personalized Instruction and Adaptive Learning
10.3 Interactive Learning Experiences
10.4 Leveraging Technology: Inclusivity and Access to Education
10.5 Seamless Learning
10.6 Ethical Considerations and Digital Citizenship
10.7 Conclusion
References
11. Disruptive Technologies in Cyber-Physical Systems in War
Ayan Sar, Tanupriya Choudhury, Rahul Kumar Singh, Abhijit Kumar, Hussain Falih Mahdi and Ankit Vishnoi
11.1 Introduction
11.2 Cyber-Physical Systems in Modern Warfare
11.2.1 Exploring Cyber-Physical Systems: Definition and Key Characteristics
11.2.2 Integration of CPS in Military Operations
11.2.3 Cyber-Physical Systems in Achieving Operational Objectives
11.3 Artificial Intelligence in Cyber-Physical Systems
11.3.1 Autonomous Weapon Systems and AI-Driven Decision-Making
11.3.2 Artificial Intelligence for Predictive Analysis and Situational Awareness
11.3.3 Ethical and Legal Implications of AI in Warfare
11.4 Autonomous Systems and Robotics
11.4.1 Drones and Unmanned Aerial Vehicles (UAVs)
11.4.2 Ground and Sea-Based Autonomous Systems
11.4.3 Challenges Faced in Deploying Autonomous Systems
11.5 Fifth Generation (5G) Technology and Network-Centric Warfare
11.5.1 High-Speed Data Transmission for Military Applications
11.5.2 Enhanced Connectivity and Communication in the Battlefield
11.5.3 Security Implications and Countermeasures in 5G Networks
11.6 Regulatory Frameworks for CPS Warfare
11.6.1 International Agreements on the Use of Disruptive Technologies
11.6.2 Establishing Norms and Standards for CPS in Warfare
11.6.3 Balancing the New Innovations with Ethical and Legal Considerations
References
Index
Back to Top
Preface
Acknowledgement
1. Revolutionizing Legal Operations: Benefits and Best Practices of Cyber‑Physical Systems in Society 5.0
Ravi Kant, Anil Kumar Dixit and Reena Roy
1.1 Introduction
1.1.1 Cyber–Physical System
1.1.2 CPS Usage in the Legal Field
1.2 Benefits of CPS in the Legal Field
1.2.1 Increased Efficiency
1.2.2 Enhanced Security
1.2.3 Improved Collaboration
1.2.4 Predictive Analytics
1.3 Applications of CPS in the Legal Field
1.3.1 Case Management
1.3.2 Contract Management
1.3.3 Document Management
1.3.4 Legal Research
1.3.5 Litigation Support
1.4 Challenges of Implementing CPS in the Legal Field
1.4.1 Resistance to Change
1.4.2 Cost of Implementation
1.4.3 Security Concerns
1.4.4 Complexity of Integration
1.5 Best Practices for Implementing CPS in the Legal Field
1.5.1 Understanding the Business Case for CPS
1.5.2 Assess the Technology Panorama
1.5.3 Develop a Comprehensive Implementation Plan
1.5.4 Ensure Statistics’ Privacy and Security
1.5.5 Provide Adequate Schooling and Support
1.6 Examples of Successful CPS Implementation within the Legal Field
1.6.1 Law Firms
1.6.2 Corporate Legal Departments
1.6.3 Legal Technology Companies
1.7 Future of CPS
1.7.1 Potential for In-Addition Integration with Different Rising Technology
1.7.2 Potential for Extra Performance and Cost Savings
1.7.3 Potential for Extended Accuracy and Effectiveness of Criminal Methods
1.8 Conclusion
1.8.1 Recap of Benefits and Challenges of CPS in the Legal Field
1.8.2 Future Outlook for CPS Inside the Legal Subject
1.8.3 Way Forward
References
2. Integrating Predictive Capabilities and Voice Biometric Authentication in Voice Assistants
Sonali Behura, Ashima Narang, Priyanka Vashisht and Aman Jatain
2.1 Introduction
2.2 Literature Review
2.3 Methodology
2.4 Discussion and Result
2.4.1 Limitations
2.5 Conclusion and Future Scope
References
3. Leveraging Cloud Computing in Cyber‑Physical Systems for Innovative Society 5.0
Avinash Kumar Saxena and Priyanka Vashisht
3.1 Introduction
3.2 Scope and Objective
3.3 Overview
3.4 Layers of Metaverse
3.5 Social and Technological Challenges
3.6 Evolution
3.7 Social and Cultural Implications
3.8 Limitation
3.9 Conclusion
References
4. Drone Management System to Detect Fire and Potholes on the Road Towards Smart City
Shubham Adhikary, Agniswari Guha and Sayan Majumder
4.1 Introduction
4.1.1 Management Mechanism
4.1.2 Pothole Detection
4.1.3 Fire Detection
4.2 Proposed Methodology
4.2.1 Acquisition of the Dataset
4.2.1.1 Deep Learning Model for Pothole and Fire Detection
4.2.2 Family YOLO
4.2.3 YOLO V5
4.2.3.1 Framework Used
4.2.3.2 Benefits of YOLOv5
4.3 Experimentation and Results
4.3.1 Data Annotations
4.3.2 Test Systems
4.3.3 Performance Metrics
4.3.3.1 Performance with Pothole Dataset Using YOLOv5
4.3.3.2 Performance with Fire Dataset Using YOLOv5x
4.4 Conclusion
References
5. A Comprehensive Approach to Cybersecurity and Healthcare Systems Using Artificial Intelligence and Robotics
Harshvardhan P. Ghongade and Anjali A. Bhadre
5.1 Introduction
5.1.1 Hypothesis
5.1.1.1 What are the General Problems in Cybersecurity?
5.1.1.2 What are the General Problems in Healthcare?
5.1.1.3 What is the Significance of AI and the Field of Robotics?
5.1.1.4 What are the Challenges of AI in Cybersecurity and Healthcare and How
can these be Overcome?
5.1.1.5 What is the Current State of Research in AI in Terms of Cybersecurity and Healthcare?
5.1.1.6 What is the Future of AI from a Cybersecurity and Healthcare Perspective?
5.2 Methodology
5.2.1 Applications of AI in Cybersecurity Defense
5.2.2 Applications of AI in Healthcare
5.2.3 Data Source
5.2.4 Exploration Criteria
5.2.5 Artificial Intelligence and Robotics
5.2.5.1 Characteristics of Artificial Intelligence
5.2.5.2 The Robotics Field
5.3 Conclusion
5.4 Future Direction
References
6. Nonlinear Power Law Modeling for Test Vehicle Structural Response
Harshvardhan P. Ghongade and Anjali A. Bhadre
6.1 Introduction
6.2 Theory
6.2.1 Linear Closure Phase Force-Deflection Model
6.2.2 Power Law Closure Phase Force-Deflection Model
6.2.3 Linear Separation Phase Force-Deflection Model
6.2.4 Power Separation Phase Force-Deflection Model
6.2.5 Power Law Kinematic Response
6.3 Methods and Materials
6.4 Results
6.5 Discussion
References
7. Key Matrix Generation Techniques for Hill Cipher Cryptosystem – A Comparative Study
Maharshi S. Pandya, Vrajesh S. Brahmbhatt, Arvik J. Shah, Rajeev Kumar Gupta and Abhijit Kumar
7.1 Introduction
7.2 Literature Review
7.3 Hill Cipher
7.4 Key Generation Methods for Hill Cipher
7.4.1 Magic Rectangle Method for the Generation of Key Matrix for Hill Cipher
7.4.2 A Generation of Self-Invertible Matrix for Hill Cipher Algorithm
7.4.3 A Generation of Self-Invertible Matrix Using Generic Approach
7.4.4 Alternate Approach for a Generation of Self-Invertible Matrix
7.5 Methodology for Comparative Study
7.5.1 Background and Overview
7.5.2 Security Aspect
7.5.3 Quality of the Techniques
7.5.4 Implementation Ease
7.5.5 Limitations
7.6 Conclusion and Future Prospects
References
8. Machine Learning-Based Spotify Song Prediction
Meenakshi Jha, Devansh Vyas, Dhruv Mehta, Jai Maru, Abhijit Kumar and Rajeev Kumar Gupta
8.1 Introduction
8.2 Literature Review
8.3 Methodology
8.4 Experimental Results
8.4.1 Task 1: Time Series Analysis
8.4.2 Task 2: Recommended Artists
8.4.3 Task 3: Popularity Rating
8.4.4 Task 4: Differentiate Genres
8.5 Conclusion
References
9. Artificial Intelligence and Sentiment Analysis in Political Campaigns
Amit Das and Sanjeev Malaviya
9.1 Introduction
9.2 Artificial Intelligence and Sentiment Analysis in Modern Politics
9.3 Artificial Intelligence: A Catalyst for Political Transformation
9.4 Sentiment Analysis: Deciphering the Public Pulse
9.5 Applications AI and Sentiment Analysis in Modern Politics
9.6 Ethical Considerations
9.7 Artificial Intelligence in Political Campaigns
9.8 Use of Sentiment Analysis in Political Campaigns
9.9 Interrelated Variable Matrix for AI and Sentiment Analysis in Modern Politics
9.10 Cambridge Analytica: Data Scandal of Digital Politics
9.11 Digital Politics
9.12 Conclusion
References
10. Digital Platforms and Leveraging Technologies to Enhance Learner Engagement
Amit Das and Sanjeev Malaviya
10.1 Introduction
10.2 Personalized Instruction and Adaptive Learning
10.3 Interactive Learning Experiences
10.4 Leveraging Technology: Inclusivity and Access to Education
10.5 Seamless Learning
10.6 Ethical Considerations and Digital Citizenship
10.7 Conclusion
References
11. Disruptive Technologies in Cyber-Physical Systems in War
Ayan Sar, Tanupriya Choudhury, Rahul Kumar Singh, Abhijit Kumar, Hussain Falih Mahdi and Ankit Vishnoi
11.1 Introduction
11.2 Cyber-Physical Systems in Modern Warfare
11.2.1 Exploring Cyber-Physical Systems: Definition and Key Characteristics
11.2.2 Integration of CPS in Military Operations
11.2.3 Cyber-Physical Systems in Achieving Operational Objectives
11.3 Artificial Intelligence in Cyber-Physical Systems
11.3.1 Autonomous Weapon Systems and AI-Driven Decision-Making
11.3.2 Artificial Intelligence for Predictive Analysis and Situational Awareness
11.3.3 Ethical and Legal Implications of AI in Warfare
11.4 Autonomous Systems and Robotics
11.4.1 Drones and Unmanned Aerial Vehicles (UAVs)
11.4.2 Ground and Sea-Based Autonomous Systems
11.4.3 Challenges Faced in Deploying Autonomous Systems
11.5 Fifth Generation (5G) Technology and Network-Centric Warfare
11.5.1 High-Speed Data Transmission for Military Applications
11.5.2 Enhanced Connectivity and Communication in the Battlefield
11.5.3 Security Implications and Countermeasures in 5G Networks
11.6 Regulatory Frameworks for CPS Warfare
11.6.1 International Agreements on the Use of Disruptive Technologies
11.6.2 Establishing Norms and Standards for CPS in Warfare
11.6.3 Balancing the New Innovations with Ethical and Legal Considerations
References
Index
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