Preface xix

Acknowledgement xxiii

1 Analytical Survey of AI Data Analysis Techniques 1
Divyansh Singhal, Roohi Sille, Tanupriya Choudhury, Thinagaran Perumal and Ashutosh Sharma

1.1 Introduction 2

1.2 Survey on Various AI Techniques in Multiple Data Inputs 2

1.3 Conclusion 20

2 Heart Rate Prediction Analysis Using ML and DL: A Review of Existing Models and Future Directions 25
Rimjhim Gupta, Roohi Sille and Tanupriya Choudhury

2.1 Introduction 26

2.2 Literature Review 28

2.3 Applications of Machine Learning (ML) and Deep Learning (DL) Model 35

2.4 Conclusions and Future Perspective 36

3 Implementation of High Speed Adders for Image Blending Applications 43
P. Vanjipriya, K. N. Vijeyakumar, E. Udayakumar and S. Vishnushree

3.1 Introduction 43

3.2 Area and Delay Analysis of Addition Algorithm 45

3.3 Design of High Speed Adder 48

3.4 Results and Discussion 53

3.5.1 Image Blending 58

3.6 Conclusion 61

4 Smart Factories and Energy Efficiency in Industry 4.0 63
S.C. Vetrivel, T.P. Saravanan and R. Maheswari

4.1 Introduction 64

4.2 Industry 4.0: Concepts and Technologies 67

4.3 Energy Efficiency in Manufacturing 71

4.4 Integration of Energy Management Systems in Smart Factories 76

4.5 Energy Monitoring and Optimization in Smart Factories 82

4.6 Intelligent Control Systems for Energy Efficiency 85

4.7 Energy Storage and Renewable Energy Integration 88

4.8 Smart Grid Integration and Demand Response 91

4.9 Case Studies and Best Practices 95

4.10 Challenges and Future Directions 98

4.11 Conclusion 101

5 AI in Computer Vision with Emerging Techniques and Their Scope 105
Pawan K. Mishra, Shalini Verma, Jagdish C. Patni and Rajat Dubey

5.1 Brief Introduction of Computer Vision 106

5.2 A Pictorial Summary of Image Formation 108

5.3 Sampling and Aliasing 115

5.4 Feature Detection 116

5.5 Image Segmentation 119

5.6 Computational Photography 122

5.7 Recognition 125

5.8 Visual Tracking of the Object 128

5.9 Conclusion 129

6 Revolutionizing Car Manufacturing the Power of Intelligent Robotic Process Automation 133
Amit K. Nerurkar and G. T. Thampi

6.1 Introduction 134

6.2 Literature Survey 139

6.3 Exploratory Analysis 143

6.4 The Manufacturing Process in India 146

6.5 Degree of Integration for Using Robotic Process Automation Automotive Sector 147

6.6 Complexities and Solution to Integrate AI in Current RPA 148

6.7 What Next in Indian Car Manufacturing? 150

6.8 Conclusion 150

7 Industry 5.0 and Artificial Intelligence: A Match Made in Technology Heaven? Unleashing the Potential of Artificial Intelligence in Industry 5.0 153
Bhanu Priya, Vivek Sharma and Rahul Sharma

7.1 Introduction 154

7.2 Review of Literature 155

7.3 Research Model of How AI Works in Industry 5.0 159

7.4 Smart Factories and Manufacturing Processes 173

7.5 Outcomes of AI in Industry 5.0 181

7.6 Challenges of Industry 5.0 189

7.7 Conclusion 190

8 A VLSI-Based Multi-Level ECG Compression Scheme with RL and VL Encoding 203
P. Balasubramani, S. Swathi Krishna and E. Udayakumar

8.1 Introduction 204

8.2 Literature Survey 204

8.3 Proposed System 205

8.4 Proposed Multi-Level ECG Compression Architecture 207

8.5 Results and Analysis 212

8.6 Conclusion 216

9 Using Reinforcement Learning in Unity Environments for Training AI-Agent 219
Geetika Munjal and Monika Lamba

9.1 Introduction 219

9.2 Literature Review 221

9.3 Machine Learning 221

9.4 Unity 225

9.5 Reinforcement Learning and Supervised Learning 227

9.6 Proposed Model 230

9.7 Markov Decision Process 234

9.8 Model Based RL 234

9.9 Experimental Results 235

9.10 Conclusion 245

10 A Review of Digital Transformation and Sustainable International Agricultural Businesses in Africa 249
Shadreck Matindike, Stephen Mago, Flora Modiba and Amanda Van den Berg

10.1 Introduction 249

10.2 Methodology 256

10.3 Findings 260

10.4 Recommendations 275

10.5 Conclusion 276

11 Developing a Framework for Harnessing Disruptive Emerging Technologies in Health for Society 5.0 in a Developing Context: A Case of Zimbabwe 283
Samuel Musungwini

11.1 Introduction 284

11.2 Background and Context 285

11.3 Methodology 288

11.4 Literature Review 291

11.5 Empirical Data 296

11.6 Discussion 302

11.7 A Framework for Harnessing Disruptive Emerging Technologies in Health for Society 5.0 in a Developing Context 304

11.8 Conclusions and Recommendations 308

12 IT Innovation: Driving Digital Transformation 315
Sruthy S.

12.1 Introduction 316

12.2 The IT Innovation Ecosystem 318

12.3 Types of IT Innovations 320

12.4 IT Innovation Frameworks 324

12.5 Challenges and Risks of IT Innovation 325

12.6 Case Study: Uber - Disrupting the Transportation Industry with Innovative Technology 328

12.7 Future Directions of IT Innovation 335

13 Strategic Convergence of Advanced Technologies in Modern Warfare 341
Ayan Sar, Tanupriya Choudhury, Jung-Sup Um, Rahul Kumar Singh and Ketan Kotecha

13.1 Introduction 342

13.2 Quantum Computing and Cryptography 342

13.3 Blockchain Technology in Military Operations 345

13.4 Case-Studies and Real-World Applications 349

13.5 Challenges and Risks 352

13.6 Conclusion 353

References 354

Index 355

The book provides invaluable insights into cutting-edge advancements across multiple sectors of Society 5.0, where contemporary concepts and interdisciplinary applications empower you to understand and engage with the transformative technologies shaping our future.

Distributed Time-Sensitive Systems offers a comprehensive array of pioneering advancements across various sectors within Society 5.0, underpinned by cutting-edge technological innovations. This volume delivers an exhaustive selection of contemporary concepts, practical applications, and groundbreaking implementations that stand to enhance diverse facets of societal life. The chapters encompass detailed insights into fields such as image processing, natural language processing, computer vision, sentiment analysis, and voice and gesture recognition and feature interdisciplinary approaches spanning legal frameworks, medical systems, intelligent urban development, integrated cyber-physical systems infrastructure, and advanced agricultural practices.

The groundbreaking transformations triggered by the Industry 4.0 paradigm have dramatically reshaped the requirements for control and communication systems in the factory systems of the future. This revolution strongly affects industrial smart and distributed measurement systems, pointing to more integrated and intelligent equipment devoted to deriving accurate measurements. This volume explores critical cybersecurity analysis and future research directions for the Internet of Things, addressing security goals and solutions for IoT use cases. The interdisciplinary nature and focus on pioneering advancements in distributed time-sensitive systems across various sectors within Society 5.0 make this thematic volume a unique and valuable contribution to the current research landscape.

Audience

Researchers, engineers, and computer scientists working with integrations for industry in Society 5.0