The New Advanced Society

The New Advanced Society

by Sandeep Kumar Panda, Ramesh Kumar Mohapatra, Subhrakanta Panda, S. Balamurugan
Released April 2022
Publisher(s): Wiley-Scrivener
ISBN: 9781119824473

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Book description

THE NEW ADVANCED SOCIETY

Included in this book are the fundamentals of Society 5.0, artificial intelligence, and the industrial Internet of Things, featuring their working principles and application in different sectors.

A 360-degree view of the different dimensions of the digital revolution is presented in this book, including the various industries transforming industrial manufacturing, the security and challenges ahead, and the far-reaching implications for society and the economy. The main objective of this edited book is to cover the impact that the new advanced society has on several platforms such as smart manufacturing systems, where artificial intelligence can be integrated with existing systems to make them smart, new business models and strategies, where anything and everything is possible through the internet and cloud, smart food chain systems, where food products can be delivered to any corner of the world at any time and in any situation, smart transport systems in which robots and self-driven cars are taking the lead, advances in security systems to assure people of their privacy and safety, and smart healthcare systems, where biochips can be incorporated into the human body to predict deadly diseases at early stages. Finally, it can be understood that the social reformation of Society 5.0 will lead to a society where every person leads an active and healthy life.

Audience

The targeted audience for this book includes research scholars and industry engineers in artificial intelligence and information technology, engineering students, cybersecurity experts, government research agencies and policymakers, business leaders, and entrepreneurs.

Sandeep Kumar Panda, PhD is an associate professor in the Department of Data Science and Artificial Intelligence at IcfaiTech (Faculty of Science and Technology), ICFAI Foundation for Higher Education, Hyderabad. His research areas include artificial intelligence, IoT, blockchain technology, cloud computing, cryptography, computational intelligence, and software engineering.

Ramesh Kumar Mohapatra, PhD is an assistant professor in the Department of Computer Science and Engineering, National Institute of Technology, Rourkela, Odisha, India. His research interests include optical character recognition, document image analysis, video processing, secure computing, and machine learning.

Subhrakanta Panda, PhD is an assistant professor in the Department of Computer Science and Information Systems, BITS-PILANI, Hyderabad Campus, Jawahar Nagar, Hyderabad, India. His research interests include social network analysis, cloud computing, security testing, and blockchain.

S. Balamurugan, PhD is the Director of Research and Development, Intelligent Research Consultancy Services (iRCS), Coimbatore, Tamilnadu, India. He is also Director of the Albert Einstein Engineering and Research Labs (AEER Labs), as well as Vice-Chairman, Renewable Energy Society of India (RESI), India. He has published 45 books, 200+ international journals/ conferences, and 35 patents.

Table of contents

  1. Cover
  2. Title Page
  3. Copyright
  4. Dedication
  5. Preface
  6. Acknowledgments
  7. 1 Post Pandemic: The New Advanced Society
    1. 1.1 Introduction
    2. 1.2 Conclusions
    3. References
  8. 2 Distributed Ledger Technology in the Construction Industry Using Corda
    1. 2.1 Introduction
    2. 2.2 Prerequisites
    3. 2.3 Key Points of Corda
    4. 2.4 Implementation
    5. 2.5 Future Work
    6. 2.6 Conclusion
    7. References
  9. 3 Identity and Access Management for Internet of Things Cloud
    1. 3.1 Introduction
    2. 3.2 Internet of Things (IoT) Security
    3. 3.3 IoT Cloud
    4. 3.4 IoT Cloud Related Developments
    5. 3.5 Proposed Method for IoT Cloud IAM
    6. 3.6 Conclusion
    7. References
  10. 4 Automated TSR Using DNN Approach for Intelligent Vehicles
    1. 4.1 Introduction
    2. 4.2 Literature Survey
    3. 4.3 Neural Network (NN)
    4. 4.4 Methodology
    5. 4.5 Experiments and Results
    6. 4.6 Discussion
    7. 4.7 Conclusion
    8. References
  11. 5 Honeypot: A Trap for Attackers
    1. 5.1 Introduction
    2. 5.2 Method
    3. 5.3 Cryptanalysis
    4. 5.4 Conclusions
    5. References
  12. 6 Examining Security Aspects in Industrial-Based Internet of Things
    1. 6.1 Introduction
    2. 6.2 Process Frame of IoT Before Security
    3. 6.3 Attacks and Security Assessments in IIoT
    4. 6.4 Conclusion
    5. References
  13. 7 A Cooperative Navigation for Multi-Robots in Unknown Environments Using Hybrid Jaya-DE Algorithm
    1. 7.1 Introduction
    2. 7.2 Related Works
    3. 7.3 Problem Formulation
    4. 7.4 Multi-Robot Navigation Employing Hybrid Jaya-DE Algorithm
    5. 7.5 Hybrid Jaya-DE
    6. 7.6 Simulation Analysis and Performance Evaluation of Jaya-DE Algorithm
    7. 7.7 Total Navigation Path Deviation (TNPD)
    8. 7.8 Average Unexplored Goal Distance (AUGD)
    9. 7.9 Conclusion
    10. References
  14. 8 Categorization Model for Parkinson’s Disease Occurrence and Severity Prediction
    1. 8.1 Introduction
    2. 8.2 Applications
    3. 8.3 Methodology
    4. 8.4 Proposed Models
    5. 8.5 Results and Discussion
    6. 8.6 Conclusion
    7. References
  15. 9 AI-Based Smart Agriculture Monitoring Using Ground-Based and Remotely Sensed Images
    1. 9.1 Introduction
    2. 9.2 Automatic Land-Cover Classification Techniques Using Remotely Sensed Images
    3. 9.3 Deep Learning-Based Agriculture Monitoring
    4. 9.4 Adaptive Approaches for Multi-Modal Classification
    5. 9.5 System Model
    6. 9.6 IEEE 802.15.4
    7. 9.7 Analysis of IEEE 802.15.4 for Smart Agriculture
    8. 9.8 Experimental Results
    9. 9.9 Conclusion & Future Directions
    10. References
  16. 10 Car Buying Criteria Evaluation Using Machine Learning Approach
    1. 10.1 Introduction
    2. 10.2 Literature Survey
    3. 10.3 Proposed Method
    4. 10.4 Dataset
    5. 10.5 Exploratory Data Analysis
    6. 10.6 Splitting of Data Into Training Data and Test Data
    7. 10.7 Pre-Processing
    8. 10.8 Training of Our Models
    9. 10.9 Result Analysis
    10. 10.10 Conclusion and Future Work
    11. References
  17. 11 Big Data, Artificial Intelligence and Machine Learning: A Paradigm Shift in Election Campaigns
    1. 11.1 Introduction
    2. 11.2 Big Data Reveals the Voters’ Preference
    3. 11.3 Deep Fakes and Election Campaigns
    4. 11.4 Social Media Bots
    5. 11.5 Future of Artificial Intelligence and Machine Learning in Election Campaigns
    6. References
  18. 12 Impact of Optimized Segment Routing in Software Defined Networks
    1. 12.1 Introduction
    2. 12.2 Software-Defined Network
    3. 12.3 SDN Architecture
    4. 12.4 Segment Routing
    5. 12.5 Segment Routing in SDN
    6. 12.6 Traffic Engineering in SDN
    7. 12.7 Segment Routing Protocol
    8. 12.8 Simulation and Result
    9. 12.9 Conclusion and Future Work
    10. References
  19. 13 An Investigation into COVID-19 Pandemic in India
    1. 13.1 Introduction
    2. 13.2 Literature Survey
    3. 13.3 Technologies Used to Fight COVID-19
    4. 13.4 Impact of COVID-19 on Business
    5. 13.5 Impact of COVID-19 on Indian Economy
    6. 13.6 Data and Result Analysis
    7. 13.7 Conclusion and Future Scope
    8. References
  20. 14 Skin Cancer Classification: Analysis of Different CNN Models via Classification Accuracy
    1. 14.1 Introduction
    2. 14.2 Literature Survey
    3. 14.3 Methodology
    4. 14.4 Models Used
    5. 14.5 Simulation Results
    6. 14.6 Conclusion
    7. References
  21. 15 Route Mapping of Multiple Humanoid Robots Using Firefly-Based Artificial Potential Field Algorithm in a Cluttered Terrain
    1. 15.1 Introduction
    2. 15.2 Design of Proposed Algorithm
    3. 15.3 Hybridization Process of Proposed Algorithm
    4. 15.4 Execution of Proposed Algorithm in Multiple Humanoid Robots
    5. 15.5 Comparison
    6. 15.6 Conclusion
    7. References
  22. 16 Innovative Practices in Education Systems Using Artificial Intelligence for Advanced Society
    1. 16.1 Introduction
    2. 16.2 Literature Survey
    3. 16.3 Proposed System
    4. 16.4 Results
    5. 16.5 Future Enhancements
    6. 16.6 Conclusion
    7. References
  23. 17 PSO-Based Hybrid Weighted k-Nearest Neighbor Algorithm for Workload Prediction in Cloud Infrastructures
    1. 17.1 Introduction
    2. 17.2 Literature Survey
    3. 17.3 Proposed System
    4. 17.4 Experimental Results
    5. 17.5 Conclusion
    6. References
  24. 18 An Extensive Survey on the Prediction of Bankruptcy
    1. 18.1 Introduction
    2. 18.2 Literature Survey
    3. 18.3 System Architecture and Simulation Results
    4. 18.4 Conclusion
    5. References
  25. 19 Future of Indian Agriculture Using AI and Machine Learning Tools and Techniques
    1. 19.1 Introduction
    2. 19.2 Overview of AI and Machine Learning
    3. 19.3 Review of Literature
    4. 19.4 Application of AI & Machine Learning in Agriculture
    5. 19.5 Current Scenario and Emerging Trends of AI and ML in Indian Agriculture Sector
    6. 19.6 Opportunities for Agricultural Operations in India
    7. 19.7 Conclusion
    8. References
  26. Index
  27. Also of Interest
  28. End User License Agreement

Product information

  • Title: The New Advanced Society
  • Author(s): Sandeep Kumar Panda, Ramesh Kumar Mohapatra, Subhrakanta Panda, S. Balamurugan
  • Release date: April 2022
  • Publisher(s): Wiley-Scrivener
  • ISBN: 9781119824473