The New Advanced Society

1 Cover

2 Title Page

3 Copyright

4 Dedication

5 Preface

6 Acknowledgments

7 1 Post Pandemic: The New Advanced Society 1.1 Introduction 1.2 Conclusions References

8 2 Distributed Ledger Technology in the Construction Industry Using Corda 2.1 Introduction 2.2 Prerequisites 2.3 Key Points of Corda 2.4 Implementation 2.5 Future Work 2.6 Conclusion References

9 3 Identity and Access Management for Internet of Things Cloud 3.1 Introduction 3.2 Internet of Things (IoT) Security 3.3 IoT Cloud 3.4 IoT Cloud Related Developments 3.5 Proposed Method for IoT Cloud IAM 3.6 Conclusion References

10 4 Automated TSR Using DNN Approach for Intelligent Vehicles 4.1 Introduction 4.2 Literature Survey 4.3 Neural Network (NN) 4.4 Methodology 4.5 Experiments and Results 4.6 Discussion 4.7 Conclusion References

11 5 Honeypot: A Trap for Attackers 5.1 Introduction 5.2 Method 5.3 Cryptanalysis 5.4 Conclusions References

12 6 Examining Security Aspects in Industrial-Based Internet of Things 6.1 Introduction 6.2 Process Frame of IoT Before Security 6.3 Attacks and Security Assessments in IIoT 6.4 Conclusion References

13 7 A Cooperative Navigation for Multi-Robots in Unknown Environments Using Hybrid Jaya-DE Algorithm 7.1 Introduction 7.2 Related Works 7.3 Problem Formulation 7.4 Multi-Robot Navigation Employing Hybrid Jaya-DE Algorithm 7.5 Hybrid Jaya-DE 7.6 Simulation Analysis and Performance Evaluation of Jaya-DE Algorithm 7.7 Total Navigation Path Deviation (TNPD) 7.8 Average Unexplored Goal Distance (AUGD) 7.9 Conclusion References

14 8 Categorization Model for Parkinson’s Disease Occurrence and Severity Prediction 8.1 Introduction 8.2 Applications 8.3 Methodology 8.4 Proposed Models 8.5 Results and Discussion 8.6 Conclusion References

15 9 AI-Based Smart Agriculture Monitoring Using Ground-Based and Remotely Sensed Images 9.1 Introduction 9.2 Automatic Land-Cover Classification Techniques Using Remotely Sensed Images 9.3 Deep Learning-Based Agriculture Monitoring 9.4 Adaptive Approaches for Multi-Modal Classification 9.5 System Model 9.6 IEEE 802.15.4 9.7 Analysis of IEEE 802.15.4 for Smart Agriculture 9.8 Experimental Results 9.9 Conclusion & Future Directions References

16 10 Car Buying Criteria Evaluation Using Machine Learning Approach 10.1 Introduction 10.2 Literature Survey 10.3 Proposed Method 10.4 Dataset 10.5 Exploratory Data Analysis 10.6 Splitting of Data Into Training Data and Test Data 10.7 Pre-Processing 10.8 Training of Our Models 10.9 Result Analysis 10.10 Conclusion and Future Work References

17 11 Big Data, Artificial Intelligence and Machine Learning: A Paradigm Shift in Election Campaigns 11.1 Introduction 11.2 Big Data Reveals the Voters’ Preference 11.3 Deep Fakes and Election Campaigns 11.4 Social Media Bots 11.5 Future of Artificial Intelligence and Machine Learning in Election Campaigns References

18 12 Impact of Optimized Segment Routing in Software Defined Networks 12.1 Introduction 12.2 Software-Defined Network 12.3 SDN Architecture 12.4 Segment Routing 12.5 Segment Routing in SDN 12.6 Traffic Engineering in SDN 12.7 Segment Routing Protocol 12.8 Simulation and Result 12.9 Conclusion and Future Work References

19 13 An Investigation into COVID-19 Pandemic in India 13.1 Introduction 13.2 Literature Survey 13.3 Technologies Used to Fight COVID-19 13.4 Impact of COVID-19 on Business 13.5 Impact of COVID-19 on Indian Economy 13.6 Data and Result Analysis 13.7 Conclusion and Future Scope References

20 14 Skin Cancer Classification: Analysis of Different CNN Models via Classification Accuracy 14.1 Introduction 14.2 Literature Survey 14.3 Methodology 14.4 Models Used 14.5 Simulation Results 14.6 Conclusion References

21 15 Route Mapping of Multiple Humanoid Robots Using Firefly-Based Artificial Potential Field Algorithm in a Cluttered Terrain 15.1 Introduction 15.2 Design of Proposed Algorithm 15.3 Hybridization Process of Proposed Algorithm 15.4 Execution of Proposed Algorithm in Multiple Humanoid Robots 15.5 Comparison 15.6 Conclusion References

22 16 Innovative Practices in Education Systems Using Artificial Intelligence for Advanced Society 16.1 Introduction 16.2 Literature Survey 16.3 Proposed System 16.4 Results 16.5 Future Enhancements 16.6 Conclusion References

23 17 PSO-Based Hybrid Weighted k-Nearest Neighbor Algorithm for Workload Prediction in Cloud Infrastructures 17.1 Introduction 17.2 Literature Survey 17.3 Proposed System 17.4 Experimental Results 17.5 Conclusion References

24 18 An Extensive Survey on the Prediction of Bankruptcy 18.1 Introduction 18.2 Literature Survey 18.3 System Architecture and Simulation Results 18.4 Conclusion References

25 19 Future of Indian Agriculture Using AI and Machine Learning Tools and Techniques 19.1 Introduction 19.2 Overview of AI and Machine Learning 19.3 Review of Literature 19.4 Application of AI & Machine Learning in Agriculture 19.5 Current Scenario and Emerging Trends of AI and ML in Indian Agriculture Sector 19.6 Opportunities for Agricultural Operations in India 19.7 Conclusion References

26 Index

27 Also of Interest

28 End User License Agreement

1 Chapter 2 Table 2.1 DLT vs Blockchain.

2 Chapter 3 Table 3.1 Comparison of access control method for IoT.

3 Chapter 4Table 4.1 Different datasets on traffic signs.Table 4.2 Efficiency (in %) results for implemented classifiers.Table 4.3 Details of best performing architecture.Table 4.4 Architecture of FFNN.Table 4.5 Detailed parameters of FFNN.Table 4.6 Size details on FFNN.Table 4.7 Architecture of RNN.Table 4.8 Detailed parameters of RNN.Table 4.9 Size details on RNN.Table 4.10 Architecture of CNN.Table 4.11 Detailed parameters of CNN.Table 4.12 Size details on CNN.Table 4.13 Accuracy and loss of improved CNN.Table 4.14 Architecture of improved CNN.Table 4.15 Detailed parameters of improved CNN.Table 4.16 Size details on improved CNN.Table 4.17 Hyper-parameters of improved CNN.Table 4.18 Impact of pooling strategy on accuracy of improved CNN.Table 4.19 Accuracy of various pre trained models.Table 4.20 Comparative results with state-of-the-art schemes.

4 Chapter 6Table 6.1 Security assessment in IoT network frame.Table 6.2 Security assessment for IIoT.

5 Chapter 7Table 7.1 Individual robot performance using Jaya-DE, basic Jaya, and DE.Table 7.2 Individual robot performance using Jaya-DE and IGWO [26].

6 Chapter 8Table 8.1 Feature extraction for training dataset.Table 8.2 Severity score class rule.Table 8.3 Performance measures and comparative analysis.

7 Chapter 10Table 10.1 Conversion of attributes into numeric values.

8 Chapter 12Table 12.1 Link measurement data of the network having 200 number of data.Table 12.2 Average throughput (bp/S) with different network size.Table 12.3 Average hop-count with different network size.Table 12.4 Average link utilization (%) with different network size.

9 Chapter 13Table 13.1 Summary of COVID 19 symptoms.

10 Chapter 14Table 14.1 Table showing attributes of the dataset.Table 14.2 Table showing changing size of MaxPool2D(n,n) vs accuracy.Table 14.3 Table showing changing size of averagePooling2D(n,n) vs accuracy.Table 14.4 Table showing changing size of conv2D-32-64 layers vs accuracy.Table 14.5 Table showing accuracy of different activation function.Table 14.6 Table showing accuracy of different models.Table 14.7 Model vs accuracy.

11 Chapter 15Table 15.1 Path length (cm) deviation between simulation and experimental result...Table 15.2 Time spent (s) deviation between simulation and experimental result o...Table 15.3 Path length (cm) deviation between simulation and experimental result...Table 15.4 Time spent (s) deviation between simulation and experimental result o...Table 15.5 Path comparison (s) between proposed controller and Neuro-Fuzzy Contr...