Cyber-Physical Systems for Innovating and Transforming Society 5. 0.

Format:

Book

Author/Creator:

Choudhury, Tanupriya.

Contributor:

Kumar, Abhijit.

Tomar, Ravi.

Pālamurukan̲, Ca.

Vishnoi, Ankit.

Series:

Artificial Intelligence and Soft Computing for Industrial Transformation Series

Language:

English

Subjects (All):

Cooperating objects (Computer systems).

Technology--Social aspects.

Technology.

Physical Description:

1 online resource (277 pages)

Edition:

1st ed.

Place of Publication:

Newark : John Wiley & Sons, Incorporated, 2025.

Summary:

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.

Contents:

Cover

Series Page

Title Page

Copyright Page

Dedication

Contents

Preface

Acknowledgement

Chapter 1 Revolutionizing Legal Operations: Benefits and Best Practices of Cyber-Physical Systems in Society 5.0

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

Chapter 2 Integrating Predictive Capabilities and Voice Biometric Authentication in Voice Assistants

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

Chapter 3 Leveraging Cloud Computing in Cyber-Physical Systems for Innovative Society 5.0

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

Chapter 4 Drone Management System to Detect Fire and Potholes on the Road Towards Smart City

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

Chapter 5 A Comprehensive Approach to Cybersecurity and Healthcare Systems Using Artificial Intelligence and Robotics

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

Chapter 6 Nonlinear Power Law Modeling for Test Vehicle Structural Response

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

Chapter 7 Key Matrix Generation Techniques for Hill Cipher Cryptosystem - A Comparative Study

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

Chapter 8 Machine Learning-Based Spotify Song Prediction

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

Chapter 9 Artificial Intelligence and Sentiment Analysis in Political Campaigns

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

Chapter 10 Digital Platforms and Leveraging Technologies to Enhance Learner Engagement

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

Chapter 11 Disruptive Technologies in Cyber-Physical Systems in War

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

Index

Also of Interest

EULA.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

9781394197750

1394197756

9781394197736

139419773X

9781394197743

1394197748

OCLC:

1507846064

Publisher Number:

CIPO000216524