About the Book
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.
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.
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.
Table of Contents:
Preface xv
Acknowledgement xix
1 Revolutionizing Legal Operations: Benefits and Best Practices of Cyber‐Physical Systems in Society
5.0 1
Ravi Kant, Anil Kumar Dixit and Reena Roy
1.1 Introduction 2
1.1.1 Cyber–Physical System 2
1.1.2 CPS Usage in the Legal Field 3
1.2 Benefits of CPS in the Legal Field 4
1.2.1 Increased Efficiency 4
1.2.2 Enhanced Security 5
1.2.3 Improved Collaboration 6
1.2.4 Predictive Analytics 7
1.3 Applications of CPS in the Legal Field 9
1.3.1 Case Management 9
1.3.2 Contract Management 10
1.3.3 Document Management 11
1.3.4 Legal Research 12
1.3.5 Litigation Support 13
1.4 Challenges of Implementing CPS in the Legal Field 13
1.4.1 Resistance to Change 13
1.4.2 Cost of Implementation 15
1.4.3 Security Concerns 17
1.4.4 Complexity of Integration 18
1.5 Best Practices for Implementing CPS in the Legal Field 19
1.5.1 Understanding the Business Case for CPS 19
1.5.2 Assess the Technology Panorama 20
1.5.3 Develop a Comprehensive Implementation Plan 20
1.5.4 Ensure Statistics’ Privacy and Security 21
1.5.5 Provide Adequate Schooling and Support 22
1.6 Examples of Successful CPS Implementation within the Legal Field 23
1.6.1 Law Firms 23
1.6.2 Corporate Legal Departments 23
1.6.3 Legal Technology Companies 23
1.7 Future of CPS 24
1.7.1 Potential for In-Addition Integration with Different Rising Technology 24
1.7.2 Potential for Extra Performance and Cost Savings 24
1.7.3 Potential for Extended Accuracy and Effectiveness of Criminal Methods 25
1.8 Conclusion 25
1.8.1 Recap of Benefits and Challenges of CPS in the Legal Field 25
1.8.2 Future Outlook for CPS Inside the Legal Subject 26
1.8.3 Way Forward 26
References 27
2 Integrating Predictive Capabilities and Voice Biometric Authentication in Voice Assistants 29
Sonali Behura, Ashima Narang, Priyanka Vashisht and Aman Jatain
2.1 Introduction 30
2.2 Literature Review 31
2.3 Methodology 34
2.4 Discussion and Result 35
2.4.1 Limitations 39
2.5 Conclusion and Future Scope 39
References 40
3 Leveraging Cloud Computing in Cyber‐Physical Systems for Innovative Society 5.0 43
Avinash Kumar Saxena and Priyanka Vashisht
3.1 Introduction 44
3.2 Scope and Objective 44
3.3 Overview 45
3.4 Layers of Metaverse 46
3.5 Social and Technological Challenges 48
3.6 Evolution 50
3.7 Social and Cultural Implications 52
3.8 Limitation 53
3.9 Conclusion 55
References 56
4 Drone Management System to Detect Fire and Potholes on the Road Towards Smart City 59
Shubham Adhikary, Agniswari Guha and Sayan Majumder
4.1 Introduction 59
4.1.1 Management Mechanism 60
4.1.2 Pothole Detection 61
4.1.3 Fire Detection 62
4.2 Proposed Methodology 62
4.2.1 Acquisition of the Dataset 62
4.2.1.1 Deep Learning Model for Pothole and Fire Detection 64
4.2.2 Family YOLO 64
4.2.3 Yolo V5 65
4.2.3.1 Framework Used 65
4.2.3.2 Benefits of YOLOv5 66
4.3 Experimentation and Results 66
4.3.1 Data Annotations 66
4.3.2 Test Systems 67
4.3.3 Performance Metrics 67
4.3.3.1 Performance with Pothole Dataset Using YOLOv5 67
4.3.3.2 Performance with Fire Dataset Using YOLOv5x 71
4.4 Conclusion 74
References 75
5 A Comprehensive Approach to Cybersecurity and Healthcare Systems Using Artificial Intelligence and Robotics 77
Harshvardhan P. Ghongade and Anjali A. Bhadre
5.1 Introduction 78
5.1.1 Hypothesis 81
5.1.1.1 What are the General Problems in Cybersecurity? 81
5.1.1.2 What are the General Problems in Healthcare? 82
5.1.1.3 What is the Significance of AI and the Field of Robotics? 83
5.1.1.4 What are the Challenges of AI in Cybersecurity and Healthcare and How can these be Overcome?
84
5.1.1.5 What is the Current State of Research in AI in Terms of Cybersecurity and Healthcare? 85
5.1.1.6 What is the Future of AI from a Cybersecurity and Healthcare Perspective? 85
5.2 Methodology 86
5.2.1 Applications of AI in Cybersecurity Defense 86
5.2.2 Applications of AI in Healthcare 88
5.2.3 Data Source 90
5.2.4 Exploration Criteria 90
5.2.5 Artificial Intelligence and Robotics 100
5.2.5.1 Characteristics of Artificial Intelligence 104
5.2.5.2 The Robotics Field 107
5.3 Conclusion 111
5.4 Future Direction 111
References 112
6 Nonlinear Power Law Modeling for Test Vehicle Structural Response 121
Harshvardhan P. Ghongade and Anjali A. Bhadre
6.1 Introduction 122
6.2 Theory 127
6.2.1 Linear Closure Phase Force-Deflection Model 130
6.2.2 Power Law Closure Phase Force-Deflection Model 132
6.2.3 Linear Separation Phase Force-Deflection Model 135
6.2.4 Power Separation Phase Force-Deflection Model 138
6.2.5 Power Law Kinematic Response 143
6.3 Methods and Materials 146
6.4 Results 148
6.5 Discussion 156
References 159
7 Key Matrix Generation Techniques for Hill Cipher Cryptosystem – A Comparative Study 161
Maharshi S. Pandya, Vrajesh S. Brahmbhatt, Arvik J. Shah, Rajeev Kumar Gupta and Abhijit Kumar
7.1 Introduction 162
7.2 Literature Review 162
7.3 Hill Cipher 165
7.4 Key Generation Methods for Hill Cipher 167
7.4.1 Magic Rectangle Method for the Generation of Key Matrix for Hill Cipher 167
7.4.2 A Generation of Self-Invertible Matrix for Hill Cipher Algorithm 168
7.4.3 A Generation of Self-Invertible Matrix Using Generic Approach 169
7.4.4 Alternate Approach for a Generation of Self-Invertible Matrix 169
7.5 Methodology for Comparative Study 169
7.5.1 Background and Overview 170
7.5.2 Security Aspect 170
7.5.3 Quality of the Techniques 170
7.5.4 Implementation Ease 171
7.5.5 Limitations 171
7.6 Conclusion and Future Prospects 171
References 172
8 Machine Learning-Based Spotify Song Prediction 175
Meenakshi Jha, Devansh Vyas, Dhruv Mehta, Jai Maru, Abhijit Kumar and Rajeev Kumar Gupta
8.1 Introduction 176
8.2 Literature Review 178
8.3 Methodology 179
8.4 Experimental Results 184
8.4.1 Task 1: Time Series Analysis 184
8.4.2 Task 2: Recommended Artists 185
8.4.3 Task 3: Popularity Rating 186
8.4.4 Task 4: Differentiate Genres 189
8.5 Conclusion 190
References 191
9 Artificial Intelligence and Sentiment Analysis in Political Campaigns 193
Amit Das and Sanjeev Malaviya
9.1 Introduction 193
9.2 Artificial Intelligence and Sentiment Analysis in Modern Politics 194
9.3 Artificial Intelligence: A Catalyst for Political Transformation 195
9.4 Sentiment Analysis: Deciphering the Public Pulse 195
9.5 Applications AI and Sentiment Analysis in Modern Politics 195
9.6 Ethical Considerations 197
9.7 Artificial Intelligence in Political Campaigns 197
9.8 Use of Sentiment Analysis in Political Campaigns 198
9.9 Interrelated Variable Matrix for AI and Sentiment Analysis in Modern Politics 200
9.10 Cambridge Analytica: Data Scandal of Digital Politics 203
9.11 Digital Politics 204
9.12 Conclusion 207
References 207
10 Digital Platforms and Leveraging Technologies to Enhance Learner Engagement 211
Amit Das and Sanjeev Malaviya
10.1 Introduction 211
10.2 Personalized Instruction and Adaptive Learning 214
10.3 Interactive Learning Experiences 217
10.4 Leveraging Technology: Inclusivity and Access to Education 222
10.5 Seamless Learning 224
10.6 Ethical Considerations and Digital Citizenship 225
10.7 Conclusion 227
References 229
11 Disruptive Technologies in Cyber-Physical Systems in War 233
Ayan Sar, Tanupriya Choudhury, Rahul Kumar Singh, Abhijit Kumar, Hussain Falih Mahdi and Ankit Vishnoi
11.1 Introduction 234
11.2 Cyber-Physical Systems in Modern Warfare 235
11.2.1 Exploring Cyber-Physical Systems: Definition and Key Characteristics 235
11.2.2 Integration of CPS in Military Operations 237
11.2.3 Cyber-Physical Systems in Achieving Operational Objectives 238
11.3 Artificial Intelligence in Cyber-Physical Systems 239
11.3.1 Autonomous Weapon Systems and AI-Driven Decision-Making 239
11.3.2 Artificial Intelligence for Predictive Analysis and Situational Awareness 240
11.3.3 Ethical and Legal Implications of AI in Warfare 241
11.4 Autonomous Systems and Robotics 241
11.4.1 Drones and Unmanned Aerial Vehicles (UAVs) 241
11.4.2 Ground and Sea-Based Autonomous Systems 243
11.4.3 Challenges Faced in Deploying Autonomous Systems 244
11.5 Fifth Generation (5G) Technology and Network-Centric Warfare 245
11.5.1 High-Speed Data Transmission for Military Applications 245
11.5.2 Enhanced Connectivity and Communication in the Battlefield 246
11.5.3 Security Implications and Countermeasures in 5G Networks 246
11.6 Regulatory Frameworks for CPS Warfare 247
11.6.1 International Agreements on the Use of Disruptive Technologies 247
11.6.2 Establishing Norms and Standards for CPS in Warfare 248
11.6.3 Balancing the New Innovations with Ethical and Legal Considerations 249
References 249
Index 251
About the Author :
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.
