Note: Preface -- About This Book -- Contents -- Part I Computational Modelling -- 1 Computational Management-An Overview -- 1.1 Introduction -- 1.2 Computational Intelligence Techniques -- 1.2.1 Fuzzy Logic -- 1.2.2 Artificial Neural Networks -- 1.2.3 Evolutionary Computing -- 1.2.4 Learning Theories -- 1.2.5 Probabilistic Methods -- 1.3 Computational Aspects of Business Management -- 1.3.1 Marketing -- 1.3.2 Sales -- 1.3.3 Customer Relationship Management (CRM) -- 1.3.4 Finance -- 1.3.5 Human Resources -- 1.3.6 Manufacturing -- 1.3.7 Maintenance and Service -- 1.3.8 Research and Development -- 1.4 Benefits and Limitations of Computational Intelligence in Business -- 1.5 Applications of Computational Intelligence in Business -- 1.5.1 Applications of Computational Intelligence in the Field of Marketing -- 1.5.2 Computational Intelligence and Human Resource -- 1.5.3 Computational Intelligence and Finance -- 1.5.4 Computational Intelligence in Operations Management -- 1.6 Conclusion and Future Scope -- References -- 2 Mathematical and Computational Approaches for Stochastic Control of River Environment and Ecology: From Fisheries Viewpoint -- 2.1 Introduction -- 2.2 Stochastic Control -- 2.2.1 Stochastic Differential Equation -- 2.2.2 Performance Index and Value Function -- 2.2.3 HJB Equation -- 2.2.4 Remarks -- 2.3 Specific Problems -- 2.3.1 "Non-renewable" Fishery Resource Management -- 2.3.2 Dam-Reservoir System Management -- 2.3.3 Algae Growth Management -- 2.3.4 Sediment Storage Management -- 2.4 Coupled Problem -- 2.4.1 Overview -- 2.4.2 Control Problem -- 2.4.3 Numerical Scheme -- 2.4.4 Computational Conditions -- 2.4.5 Numerical Computation -- 2.5 Conclusions -- References -- 3 Models and Tools of Knowledge Acquisition -- 3.1 Introduction -- 3.1.1 Knowledge Economy -- 3.2 Literature Review -- 3.2.1 The Role and Importance of Knowledge Acquisition. , 3.2.2 Digitizing Knowledge Acquisition -- 3.3 Knowledge Management and Firm Strategy -- 3.3.1 Strategic Knowledge-An Internal and External Perspective -- 3.3.2 Competitive Intelligence -- 3.4 Knowledge Acquisition: Sources and Techniques -- 3.4.1 External Sources of Knowledge -- 3.4.2 Techniques of Knowledge Acquisition -- 3.5 Role of Technology in Knowledge Acquisition and Management -- 3.5.1 The Emergence of API Economy -- 3.5.2 Artificial Intelligence -- 3.6 Conclusion -- References -- 4 Profits Are in the Eyes of the Beholder: Entropy-Based Volatility Indicators and Portfolio Rotation Strategies -- 4.1 Introduction -- 4.2 Entropy and Its Applications to the VIX -- 4.3 Literature Review -- 4.4 Research Objectives -- 4.5 Theoretical Framework -- 4.6 Data Variables, Measurements, and Sources -- 4.7 Methods and Measures -- 4.8 Empirical Results -- 4.9 Formulation and Testing of Trading Strategies -- 4.10 Summary and Concluding Remarks -- Appendix 1: Trading Strategies Using India VIX Change and the Entropies (Both Approximate and Sample Entropies) Tested Through Simulations -- References -- 5 Asymmetric Spillovers Between the Stock Risk Series: Case of CESEE Stock Markets -- 5.1 Introduction -- 5.2 Related Literature Review -- 5.2.1 (M)GARCH Approaches to Modelling -- 5.2.2 Causality Testing and Cointegration -- 5.2.3 Spillover Methodology Approach -- 5.3 Methodology Description -- 5.3.1 VAR Models and Spillover Index -- 5.3.2 Asymmetric Spillovers -- 5.4 Empirical Results -- 5.4.1 Variable Description -- 5.4.2 Static Results -- 5.4.3 Dynamic Analysis -- 5.4.4 Robustness Checking -- 5.4.5 Simulation of Investment Strategies -- 5.5 Discussion and Conclusion -- Appendix -- References -- 6 Millennial Customers and Hangout Joints: An Empirical Study Using the Kano Quantitative Model -- 6.1 Introduction -- 6.1.1 Motivations of the Study. , 6.1.2 Background of the Study -- 6.2 Literature Review -- 6.3 Model Development -- 6.3.1 Research Gap -- 6.3.2 Research Objectives -- 6.3.3 The Kano Model -- 6.3.4 Research Design -- 6.3.5 Survey Instrument -- 6.4 Results and Discussion -- 6.4.1 Exploratory Factor Analysis Results -- 6.4.2 Reliability Analysis Results -- 6.4.3 Kano Quantitative Analysis Results -- 6.5 Conclusions and Future Scope -- 6.5.1 Conclusions -- 6.5.2 Future Scope -- References -- 7 The Effects of Oil Shocks on Macroeconomic Uncertainty: Evidence from a Large Panel Dataset of US States -- 7.1 Introduction -- 7.2 Data and Methodology -- 7.3 Results and Analysis -- 7.3.1 Linear Impulse Responses -- 7.3.2 Responses of Uncertainty Contingent on High- Versus Low-Oil Dependence States -- 7.3.3 Responses of Uncertainty at Different Horizons Conditioning on Aggregate US Uncertainty Spillovers -- 7.4 Conclusion -- Appendix -- References -- 8 Understanding and Predicting View Counts of YouTube Videos Using Epidemic Modelling Framework -- 8.1 Introduction -- 8.1.1 Literature Review -- 8.2 Building Block for Proposed Epidemic Modelling -- 8.2.1 Epidemic Modelling -- 8.2.2 Assumptions -- 8.2.3 Modelling Information Diffusion as Susceptibility Process -- 8.2.4 Modeling Viewing as Infection Process -- 8.2.5 Particular Case -- 8.3 Numerical Illustration -- 8.4 Results and Interpretation -- References -- 9 Gross Domestic Product Modeling Using ``Panel-Data'' Concept -- 9.1 Introduction -- 9.2 Materials -- 9.3 Statistical Preliminaries and Methods -- 9.4 Results -- 9.5 Concluding Remarks -- References -- 10 Supply Chain Scheduling Using an EOQ Model for a Two-Stage Trade Credit Financing with Dynamic Demand -- 10.1 Introduction -- 10.2 Literature Review -- 10.3 Assumptions and Notations -- 10.3.1 Assumptions: -- 10.3.2 Notations -- 10.4 Mathematical Formulation -- 10.5 Numerical Illustrations. , 10.6 Graphical Representations -- 10.7 Conclusion and Managerial Implications -- References -- 11 Software Engineering Analytics-The Need of Post COVID-19 Business: An Academic Review -- 11.1 Introduction -- 11.2 COVID19-Effects in Business -- 11.2.1 Tourism and Hospitality -- 11.2.2 Airlines and Aviation -- 11.2.3 Oil and Gas -- 11.2.4 Automotive Manufacturing -- 11.2.5 Consumer Products -- 11.2.6 Education -- 11.2.7 Software Industry -- 11.3 Research Methodology -- 11.4 Software Development Life Cycle (SDLC) -- 11.4.1 Software Requirements Analysis -- 11.4.2 Software Design -- 11.4.3 Software Implementation -- 11.4.4 Software Testing -- 11.4.5 Software Deployment -- 11.4.6 Software Maintenance -- 11.5 Software Analytics -- 11.5.1 Literature Analysis -- 11.5.2 Journal Publications with Frequency -- 11.5.3 Citations/Year -- 11.5.4 Software Engineering Analytics: Connotes -- 11.6 Conclusion -- References -- 12 The Rise and Fall of the SCOR Model: What After the Pandemic? -- 12.1 Introduction: The SCOR Model as a Supply Chain Management Foundation -- 12.2 The Evolution of Supply Chain Management -- 12.3 The SCOR Model-A Foundation for Supply Chain Management -- 12.3.1 Supply Chain Optimisation in the Digital Supply Chain Era -- 12.4 Is the Scor Model Still Relevant? -- 12.4.1 The Evolution of the Scor Model -- 12.4.2 The Fall of the Scor Model -- 12.4.3 Is the Resurrection of the Scor Model Possible? -- 12.5 Re-designing the Future of Supply Chains Using Scor -- 12.5.1 Re-designing for Supply Chain Reliability -- 12.5.2 Re-designing for Supply Chain Agility and Responsiveness -- 12.5.3 Re-designing for Supply Chain Asset Management -- 12.6 Concluding Remarks -- References -- Part II Management Optimization -- 13 A Comparative Study on Multi-objective Evolutionary Algorithms for Tri-objective Mean-Risk-Cardinality Portfolio Optimization Problems. , 13.1 Introduction -- 13.2 Portfolio Optimization -- 13.3 Multi-objective Evolutionary Algorithms -- 13.4 Multi-objective Evolutionary Algorithms for Portfolio Optimization Problems-A Literature Review -- 13.4.1 Mean-Variance Portfolio Optimization Using MOEAs -- 13.4.2 Mean-Risk Portfolio Optimization Using MOEAs -- 13.4.3 Three-Objective Portfolio Optimization Using MOEAs -- 13.5 Experimental Results -- 13.6 Conclusion -- References -- 14 Portfolio Insurance and Intelligent Algorithms -- 14.1 Introduction -- 14.2 Portfolio Insurance -- 14.2.1 Multi-period Portfolio Insurance Under Transaction Costs -- 14.3 Intelligent Algorithms -- 14.3.1 Beetle Antennae Search Algorithm -- 14.3.2 Popular Meta-Heuristic Algorithms -- 14.3.3 Multi-objective Optimization -- 14.3.4 The Main Algorithm for the MPMCPITC Problem -- 14.4 Portfolios' Applications with Real-World Data -- 14.4.1 Application in 4 Stocks' Portfolio -- 14.4.2 Application in 8 Stocks' Portfolio -- 14.4.3 Application in 12 Stocks' Portfolio -- 14.4.4 Application in 16 Stocks' Portfolio -- 14.4.5 Results and Performance Comparison of BAS, BA, FA and GA -- 14.5 Conclusion -- References -- 15 On Interval-Valued Multiobjective Programming Problems and Vector Variational-Like Inequalities Using Limiting Subdifferential -- 15.1 Introduction -- 15.2 Definitions and Preliminaries -- 15.3 Relationship Between (GMVVLI), (GSVVLI) and (IVMPP) -- 15.4 Relationship Between (WGMVVLI), (WGSVVLI) and (IVMPP) -- 15.5 Existence Results for (GMVVLI) and (GSVVLI) -- 15.6 Conclusions -- References -- 16 Portfolio Optimization Using Multi Criteria Decision Making -- 16.1 Introduction -- 16.2 An Overview of Multi Criteria Decision Making (MCDM) Process -- 16.3 Classification of Multi Criteria Decision Making Processes -- 16.4 Quantitative Techniques Applied for the MCDM -- 16.5 Financial Decision Problem. , 16.6 Risk Modeling and SWOT Analysis.

Note: Intro -- ICAIHC Committee -- Preface -- Acknowledgements -- Contents -- About the Editors -- 1 An Adaptive Fuzzy-Based Clustering Model for Healthcare Wireless Sensor Networks -- 1.1 Introduction -- 1.1.1 Resource Management in WSN -- 1.2 Related Work -- 1.3 Proposed Model -- 1.3.1 Fuzzy Sets and Neuro-fuzzy Logic Theory -- 1.4 Simulation and Results -- 1.5 Conclusion and Future Work -- References -- 2 Artificial Pancreas (AP) Based on the JAYA Optimized PI Controller (JAYA-PIC) -- 2.1 Introduction -- 2.2 Problem Statements Formulations -- 2.2.1 Clinical Information -- 2.2.2 Simulation Model -- 2.2.3 MID -- 2.2.4 Patient Output -- 2.3 Control Algorithms -- 2.3.1 Development of JAYA-PIC -- 2.4 Results -- 2.4.1 JAYA-PIC Action in Patient -- 2.4.2 Analysis of Control Actions -- 2.5 Conclusions -- References -- 3 Security Issues and Solutions for Reliable WBAN-Based e-Healthcare Systems: A Systematic Review -- 3.1 Introduction -- 3.2 Methodology -- 3.3 Secured WBAN Requirements -- 3.3.1 Security Paradigms for WBAN -- 3.3.2 Security Needs in WBAN -- 3.4 Security Solutions -- 3.5 Case Studies on WBAN Prototypes -- 3.6 Conclusion -- References -- 4 Brain Tumour Detection by Multilevel Thresholding Using Opposition Equilibrium Optimizer -- 4.1 Introduction -- 4.2 Multilevel Thresholding Based on Entropy -- 4.2.1 Multilevel Thresholding: A Mathematical Approach -- 4.2.2 Entropy Functions -- 4.3 Opposition Equilibrium Optimizer (OEO) -- 4.4 Proposed Brain Tumour Detection Method Using OEO-Based Multilevel Thresholding Approach -- 4.5 Results and Discussion -- 4.6 Conclusion -- References -- 5 RescuePlus -- 5.1 Introduction -- 5.2 Literature Review -- 5.3 Existing Solution -- 5.4 Proposed Solution -- 5.5 Result -- 5.6 Future Scope -- 5.7 Conclusion -- References -- 6 Skeletal Bone Age Determination Using Deep Learning -- 6.1 Introduction -- 6.2 Methodology. , 6.2.1 Data Set Selection -- 6.2.2 Data Pre-processing -- 6.3 Custom Model -- 6.3.1 Model Architecture -- 6.3.2 Approaches -- 6.4 Experiments -- 6.4.1 Loss Functions -- 6.4.2 Comparing with Pre-trained Models -- 6.5 Conclusion -- References -- 7 Chimp Optimization Algorithm-Based Feature Selection for Cardiac Image-Based Heart Disease Diagnosis -- 7.1 Introduction -- 7.2 Chimp Optimization Algorithm-Based Feature Selection for Heart Disease Diagnosis -- 7.2.1 Pre-processing -- 7.2.2 Feature Extraction -- 7.2.3 Feature Selection Using ChOA -- 7.2.4 Classification Using SVNN -- 7.3 Results and Discussion -- 7.4 Conclusion -- References -- 8 The Hospitality Industry's Impact on the COVID-19 Epidemic: A Case Study of Ukraine -- 8.1 Introduction -- 8.2 Literature Review -- 8.3 Research Methods -- 8.4 Results -- 8.4.1 State and Legal Measures -- 8.5 Conclusion -- References -- 9 Society in Front of a COVID-19 Pandemic: India Versus Ukraine -- 9.1 Introduction -- 9.1.1 Research Background -- 9.2 Research Methods and Materials -- 9.3 Results -- 9.3.1 The Speed of Virus Spreading -- 9.3.2 The Risk and Danger Rate Estimation -- 9.4 The Level of Trust in the National Healthcare System and the Satisfaction of Government's Response to COVID-19 Situation -- 9.5 The Emotions and General Psychological State of Respondents -- 9.6 Conclusions -- Notes -- References -- 10 Breast Cancer Detection Using Concatenated Deep Learning Model -- 10.1 Introduction -- 10.2 Proposed Methodology -- 10.2.1 Convolutional Neural Network -- 10.2.2 LSTM -- 10.3 Result Analysis -- 10.3.1 Dataset Description -- 10.4 Conclusion -- References -- 11 Recommendation of Pesticides Based on Automation Detection of Citrus Fruits and Leaves Diseases Using Deep Learning -- 11.1 Introduction -- 11.2 Related Work -- 11.3 Proposed Work -- 11.3.1 Image Acquisition and Preprocessing. , 11.3.2 Image Segmentation -- 11.3.3 Diseases Prediction -- 11.3.4 Experimental Results -- 11.3.5 Fertilizer Recommendation -- 11.4 Conclusion -- References -- 12 Comprehensive Information Retrieval Using Fine-Tuned Bert Model and Topic-Assisted Query Expansion -- 12.1 Introduction -- 12.2 Review of Literature -- 12.3 Comprehensive Information Retrieval -- 12.3.1 BERT Model -- 12.3.2 Topic Modelling Using Latent Dirichlet Allocation -- 12.3.3 The Proposed CIR Architecture -- 12.4 The Proposed Approach -- 12.5 Experimental Results -- 12.5.1 Dataset -- 12.5.2 Evaluation Metrics -- 12.5.3 Performance Evaluations -- 12.5.4 Performance Comparison -- 12.5.5 Discussions -- 12.6 Conclusion -- References -- 13 Diabetic Retinopathy Detection Using CNN Model -- 13.1 Introduction -- 13.2 Related Work -- 13.3 Dataset Used -- 13.3.1 Overview -- 13.3.2 Augmentation -- 13.4 Defining CNN Model -- 13.4.1 Summary of Model Architecture -- 13.4.2 Model Layers -- 13.4.3 Loss Function -- 13.5 Result -- 13.6 Conclusion -- References -- 14 Digi-CANE-An IoT Savior for Visually Sensitive -- 14.1 Introduction -- 14.2 Literature Survey -- 14.3 Objective -- 14.4 General Flowchart -- 14.5 The Sensory Architecture -- 14.5.1 Emergency Sensor (Gyroscope) -- 14.5.2 Cane Module -- 14.5.3 Ultrasonic Sensor -- 14.5.4 Buzzer -- 14.5.5 Arduino Uno -- 14.5.6 Working -- 14.6 Circuit Diagram -- 14.6.1 Hardware Details -- 14.6.2 Working of Ultrasonic Sensor (HC-SR04) -- 14.6.3 Software Requirement Arduino IDE -- 14.7 Conclusion and Future Scope -- References -- 15 Link Performance in Community Detection Using Social Network -- 15.1 Introduction -- 15.2 Literature Review -- 15.3 Methods -- 15.4 Metrics -- 15.5 Experimental Results -- 15.6 Discussion -- 15.7 Conclusion -- References -- 16 Analyze Ego-Centric Nodes in Social Network Using Machine Learning Technique -- 16.1 Introduction. , 16.2 Review of Literature -- 16.3 Materials and Method -- 16.4 Link Influence Strategies -- 16.5 Result and Discussion -- 16.6 Conclusion -- 16.7 Future Enhancement -- References -- 17 5G Revolution Transforming the Delivery in Healthcare -- 17.1 Introduction -- 17.2 Literature Review -- 17.3 Features of 5G Technology -- 17.4 Problems Posed by Current Healthcare Industry -- 17.4.1 Lack of Universal Access -- 17.4.2 Long-Term Chronic Care Burden -- 17.4.3 Aging Population -- 17.4.4 Resource Constraints and Healthcare Disparities -- 17.5 Areas in Healthcare that 5G Will Boost -- 17.5.1 Imaging -- 17.5.2 Diagnostics -- 17.5.3 Data Analytics and Treatment -- 17.6 New Realms that 5G Will Enable -- 17.7 Real-World Trials -- 17.8 Positive Impacts of 5G on Our Healthcare System -- 17.9 Recommendations -- 17.10 Conclusion and Future Works -- References -- 18 A Systematic Review of AI Privileges to Combat Widen Threat of Flavivirus -- 18.1 Significance of AI in Flavivirus Disease Eradication -- 18.1.1 AI in Healthcare -- 18.1.2 Flavivirus-A Detailed Synopsis -- 18.1.3 Flavivirus Characteristics -- 18.1.4 Flavivirus Lifecycle -- 18.1.5 Flavivirus Epidemiology -- 18.2 Detection and Estimation of Flavivirus Disease with Machine Learning Models -- 18.3 Conclusions and Future Direction -- References -- 19 Early Detection of Sepsis Using LSTM Neural Network with Electronic Health Record -- 19.1 First Section -- 19.2 Method -- 19.2.1 Sepsis Data Preprocessing -- 19.2.2 LSTM Model -- 19.3 Result and Discussion -- 19.4 Conclusion -- References -- 20 Detection of COVID-19 Infection from Clinical Findings Using Machine Learning Algorithm -- 20.1 Introduction -- 20.2 Related Works -- 20.3 Materials and Methods -- 20.3.1 Medical Dataset Used -- 20.3.2 Data Preprocessing -- 20.3.3 Feature Selection -- 20.3.4 Classification Algorithms. , 20.4 Performance Evaluation and Results -- 20.4.1 Evaluation Measures -- 20.4.2 Results -- 20.5 Conclusion -- References -- 21 Development of Real-Time Cloud Based Smart Remote Healthcare Monitoring System -- 21.1 Introduction -- 21.2 System Framework -- 21.3 System Modeling -- 21.4 Results and Discussion -- 21.5 Conclusion -- References -- 22 Performance Analysis of Hyperparameters of Convolutional Neural Networks for COVID-19 X-ray Image Classification -- 22.1 Introduction -- 22.2 CNN and Its Optimizers -- 22.3 Experimental Results -- 22.4 Conclusion -- References -- 23 Sequence Rule Mining for Insulin Dose Prediction Using Temporal Dataset -- 23.1 Introduction -- 23.2 Literature Review -- 23.3 Definitions -- 23.3.1 Sequential Rule Mining -- 23.3.2 Support and Confidence -- 23.3.3 Sequence Rule Mining Algorithms -- 23.4 Methodology -- 23.5 Experiment Work -- 23.5.1 Dataset Used -- 23.5.2 Result and Discussion -- 23.6 Conclusion -- 23.7 Future Scope -- References -- 24 Ensemble Deep Learning Approach with Attention Mechanism for COVID-19 Detection and Prediction -- 24.1 Introduction -- 24.2 Related Work -- 24.3 Proposed Model -- 24.4 Data sets, Experiments, and Results -- 24.5 Conclusion and Future Scope -- References -- 25 Semantic Segmentation of Cardiac Structures from USG Images Using Few-Shot Prototype Learner Guided Deep Networks -- 25.1 Introduction -- 25.2 Proposed Work -- 25.2.1 Prototype Learner -- 25.2.2 Segmentor -- 25.3 Experiments -- 25.3.1 Dataset Description and Measures Used -- 25.3.2 Parameters -- 25.3.3 Results and Analysis -- 25.4 Conclusion -- References -- 26 Quantification of Homa Effect on Air Quality in NCR, India: Pollution and Pandemic Challenges in Cities and Healthcare Remedies -- 26.1 Introduction -- 26.1.1 Air Quality Global Challenge in Twenty-First Century -- 26.1.2 How Yajna and Vedic Rituals May Curb Pollution. , 26.2 Literature Review.

Note: Intro -- Foreword -- References -- Preface -- Contents of the Volume -- References (those listed in Prof. Ashok Sahni's bibliography below are not included here) -- Bibliography of Ashok Sahni -- Contents -- Contributors -- 1 First Ornithischian and Theropod Dinosaur Teeth from the Middle Jurassic Kota Formation of India: Paleobiogeographic Relationships -- Abstract -- Introduction -- Geological Setting -- Age -- Methods and Materials -- Locality Information -- Fossils Collected -- Institutional Abbreviations -- Systematic Paleontology -- Discussion -- Biogeographic Links of the Kota Vertebrate Fauna -- Conclusions -- Acknowledgements -- References -- 2 Upper Gondwana (Jurassic to Early Cretaceous) Palynoflora of India: Its Correlation with Other Gondwana Continents and Phytogeographical Implications -- Abstract -- Introduction -- Geological Setting and Lithostratigraphy -- Jurassic -- Early Cretaceous -- Palynosequencing of the Jurassic and Early Cretaceous Deposits -- Jurassic -- Inter-basinal Correlation -- Jurassic-Cretaceous Boundary -- Early Cretaceous -- Inter-basinal Correlation -- Tectonics Versus Eustasy -- Intra-Gondwanan Correlation -- Paleovegetation and Paleoenvironment -- Phytogeography -- Conclusions -- Acknowledgements -- References -- 3 A Third, Remarkably Small, Tribosphenic Mammal from the Mesozoic of Australia -- Abstract -- Introduction -- Methods -- Type Locality -- Type Horizon, Rock Unit and Age -- Institutional Abbreviation -- Systematic Paleontology -- Discussion and Conclusions -- Acknowledgements -- References -- 4 Evidence for a Remarkably Large Toothed-Monotreme from the Early Cretaceous of Lightning Ridge, NSW, Australia -- Abstract -- Introduction -- Institutional Abbreviations -- Systematic Paleontology -- Conclusions -- Acknowledgements -- References. , 5 Role of Plate Tectonics and Global Climate Change in the Evolution of Angiosperms -- Abstract -- Introduction -- Palynological Records -- Pre-cretaceous Records -- Early Cretaceous Records -- Late Cretaceous Records -- Discussion -- Evolution of Angiosperm -- Angiosperm Evolution versus Tectonics -- Paleobotanical Records of Angiosperm Evolution -- Future Prospects -- Acknowledgements -- References -- 6 Anuran Lissamphibian and Squamate Reptiles from the Upper Cretaceous (Maastrichtian) Deccan Intertrappean Sites in Central India, with a Review of Lissamphibian and Squamate Diversity in the Northward Drifting Indian Plate -- Abstract -- Introduction -- Repository -- Systematic Paleontology -- Taxonomic Status of Amphibians and Squamates from the Maastrichtian of India: An Overview -- Amphibians -- Squamates -- Comparison with the Anuran and Squamate Diversities in Other Continents -- Conclusions -- Acknowledgements -- References -- 7 Chelonian Pelomedusoides Remains from the Late Cretaceous of Upparhatti (Southwestern India): Systematics and Paleobiogeographical Implications -- Abstract -- Introduction -- Geology -- Turtle Yielding Cretaceous Localities of India -- Southwestern India -- Upparhatti, Belgaum District, Karnataka State (Fig. 7.1G) -- Western India -- Worli Hill (Fig. 7.1C) -- Amboli (Fig. 7.1B) -- Lakshmipur, Kachchh, Gujarat State (Fig. 7.1A) -- Central India -- Kisalpuri, Dindori District, Madhya Pradesh State (Fig. 7.1D) -- Pisdura Area, Chandrapur District, Maharashtra State (Fig. 7.1F). -- Dongargaon, Chandrapur District, Maharashtra State (Fig. 7.1F) -- Southeastern India -- Kunnam Locality, Perambalur District., Tamil Nadu State (Fig. 7.1H) -- Kallamedu Locality -- Material and Methods -- Abbreviations -- Systematic Paleontology -- Discussion -- Conclusion -- Taxonomic Implications -- Paleobiogeographical Implications. , Acknowledgements -- Appendix: Other Horizons of the Indian Subcontinent (Outside India) from Which a Pleurodiran was Documented -- References -- 8 The Age of Dinosaurs in the Land of Gonds -- Abstract -- Introduction -- Dinosaurs in Gondwana and Post-Gondwana Formations -- Dawn: The Beginnings of Dinosaurs in the Late Triassic -- Discovery of Indian Dinosaurs -- Lower Maleri Formation (Late Carnian-Early Norian) -- Upper Maleri Formation (Late Norian) -- Lower Dharmaram Formation (Rhaetian) -- End-Triassic Mass Extinction Event -- Day: Triumph of the Dinosaurs in the Jurassic -- Upper Dharmaram Formation (Early Jurassic, Hettangian) -- Lower Kota Formation (Sinemurian-Toarcian) -- Upper Kota Formation -- Upper Jurassic Bagra Formation -- Origin and Early Evolution of Sauropodomorpha -- Evening: Dinosaurs in the Drifting Indian Plate During the Cretaceous -- Nimar Sandstone (Cenomanian-Turonian) -- Lameta Formation (Maastrichtian) -- A Passage to India: Discovery of Cretaceous Dinosaurs -- The Lameta Dinosaurs -- Titanosaurs -- Abelisaurs -- Ankylosaurs -- Kallamedu Formation -- Dinosaur Eggs and Babies -- Dinosaur Coprolites and Food Preference -- Night: Death of the Dinosaurs -- Asteroid Impacts -- Chicxulub Crater, Yucatan Peninsula, Mexico -- Shiva Crater, Mumbai Offshore Basin, India -- Killing Mechanism -- Deccan Volcanism -- Impact-Induced Volcanism -- Aftermath of the K-Pg Extinction -- Acknowledgements -- References -- 9 Leaving Gondwana: The Changing Position of the Indian Subcontinent in the Global Faunal Network -- Abstract -- Introduction -- Methods -- Faunal Similarity Networks -- Global Patterns -- Data Collection -- Results and Discussion -- The Late Cretaceous of the Indian Subcontinent -- The Paleocene of the Indian Subcontinent -- The Eocene of the Indian Subcontinent -- Global Faunal Network of the Cretaceous and Paleogene. , Density, Centrality, and Modularity -- A Theoretical Paleocene Fauna from the Indian Subcontinent -- Conclusions -- Acknowledgments -- Appendix 1: Data and Bins -- Appendix 2: Faunal Network Function -- References -- 10 Island Africa and Vertebrate Evolution: A Review of Data and Working Hypotheses -- Abstract -- Introduction -- The Native African Fauna (Fig. 10.2) -- The Fauna of the Island Africa -- The Fate of the Native Fauna (Fig. 10.2) -- The Island Africa: an Underpopulated Biotic Province? -- Colonization of Island Africa by Newcomers (Figs. 10.4, 10.5) -- Africa as a Secondary Cradle -- The End of Isolation of Africa -- Conclusions -- Acknowledgements -- References -- 11 Contrasting Biomarker Signatures of Cretaceous and Early Paleogene Coal-Bearing Sediments During the Northward Flight of India -- Abstract -- Introduction -- Material and Methods -- Sampling -- Analytical Method -- Results -- Terpenoid Composition of Early Cretaceous Sediments -- Aliphatic Fraction -- Aromatic Fraction -- Terpenoid Composition of Eocene Sediments -- Aliphatic Fraction -- Aromatic Fraction -- Discussion -- Inferences from Early Cretaceous Terpenoids -- Inferences from Eocene Terpenoids -- Implications for Early Cretaceous and Eocene Vegetation of India -- Conclusions -- Acknowledgements -- References -- 12 New Specimens of Frugivastodon (Mammalia: Apatotheria) from the Early Eocene of India Confirm Its Apatemyid Status and Elucidate Dispersal of Apatemyidae -- Abstract -- Introduction -- Material and Methods -- Abbreviations -- Institutional Abbreviations -- Measurements -- Systematic Paleontology -- Phylogenetic Analysis -- Objectives and Methodology -- Results -- Discussion -- Discussion -- Relationships of Frugivastodon -- Geographic Origin of Frugivastodon and the Dispersal of Apatemyids -- Conclusions -- Acknowledgements -- References. , 13 Size Variation Amongst the Non-volant Mammals from the Early Eocene Cambay Shale Deposits of Western India: Paleobiogeographic implications -- Abstract -- Introduction -- Methodology -- Timing of India-Eurasia Collision -- A Brief Historical Background of Biogeographically Important Vertebrate Fossil Record (Including Mammals) from the Cretaceous-Paleogene (K-Pg) Interval of India -- Age of the Cambay Shale Mammals -- Size Variation Amongst the Non-volant Mammalian Groups Known from the Cambay Shale -- Evolutionary Relationship(s) of the Large-Sized Component (Perissodactyls) from the Cambay Shale -- Discussion -- Caveats -- Acknowledgements -- Appendix -- References -- 14 Indohyus, Endemic Radiation of Raoellid Artiodactyls in the Eocene of India and Pakistan -- Abstract -- Introduction -- Materials and Methods -- Acronyms -- Systematic Paleontology -- Discussion -- References -- 15 The Murine Cradle -- Abstract -- Introduction -- Previous Work -- Materials and Methods -- Systematics -- Great Morphological Variation of Early Murines -- Early Murine Evolution in the Semi-isolated Cradle of the Indian Subcontinent -- Interpretation -- Acknowledgments -- References -- 16 New Data on the Siwalik Murines, Rhizomyines and Ctenodactylines (Rodentia) from the Indian Subcontinent -- Abstract -- Introduction -- Previous Work -- Muridae -- Spalacidae -- Ctenodactylidae -- Material and Methods -- Systematics -- Phylogenetic Analyses -- Characters -- Spalacids -- Characters -- Paleobiogeography -- Conclusions -- Acknowledgements -- References -- 17 Dispersal of Miocene Hominoids (and Pliopithecoids) from Africa to Eurasia in Light of Changing Tectonics and Climate -- Abstract -- Introduction -- Hominoid Systematics -- The First Eurasian Apes: Early Catarrhine Dispersals Out of Africa in the Miocene. , How Many Transcontinental Ape Dispersal Events Occurred and Between Which Continents? Biogeographic Links to Phylogeny, Tectonics, and Climate.

Note: Intro -- Preface -- Editorial -- Contents -- About the Editors -- 1 Introduction to Blockchain Evolution, Architecture and Application with Use Cases -- 1.1 Layman's Introduction to Blockchain -- 1.2 The Blockchain Technology -- 1.3 Types of Blockchain -- 1.4 Evolution of Blockchain -- 1.4.1 Blockchain 1.0: Programmable Money and Cryptocurrencies -- 1.4.2 Blockchain 2.0: Smart Contracts -- 1.4.3 Blockchain 3.0: Decentralised Web -- 1.5 Ledger System for Blockchain -- 1.5.1 Centralized Ledger Systems -- 1.5.2 Distributed Ledger Systems -- 1.6 Layers of Blockchain -- 1.6.1 Hardware or Infrastructure Layer -- 1.6.2 Data Layer -- 1.6.3 Network Layer -- 1.6.4 Consensus Layer -- 1.6.5 Application Layer -- 1.7 Use Cases and Applications of Blockchain -- 1.8 Development Tools for Blockchain -- 1.9 Summary -- References -- 2 Blockchain: A Technology in Search of Legitimacy -- 2.1 Introduction -- 2.2 Theoretical Background -- 2.3 Research Design and Methodology -- 2.4 Results -- 2.5 Discussion and Conclusion -- References -- 3 Using Blockchain in Intermittently Connected Network Environments -- 3.1 Introduction -- 3.2 Overview of Delay Tolerant Networks -- 3.2.1 Features -- 3.2.2 Architecture -- 3.2.3 Routing -- 3.2.4 Applications -- 3.3 Rudimentary Elements of Blockchain -- 3.3.1 Blocks -- 3.3.2 Transaction -- 3.3.3 Mining -- 3.3.4 Ethereum and Smart Contracts -- 3.4 Integration of Blockchain Technology with DTNs -- 3.4.1 System Components -- 3.4.2 Generation and Transmission of Shelter Needs -- 3.4.3 Need Validation and Creation of Local Blockchain -- 3.4.4 Block Conversion Through API -- 3.4.5 Mining Blocks and Deploying to Global Blockchain -- 3.5 Open Research Areas -- 3.6 Conclusion -- References -- 4 Slaying the Crypto Dragons: Towards a CryptoSure Trust Model for Crypto-economics -- 4.1 Introduction: Blockchain and the Right to Be Forgotten. , 4.2 The New 'Crypto-economy'-A Fraudsters' Playground? -- 4.3 Blockchain: Sceptical ICT Professionalism and Legal Due Diligence -- 4.4 The Need for Trusted Third Parties and for Probative Electronic Evidence -- 4.5 Towards a CryptoSure Trust Model for Crypto-economics -- 4.6 Conclusions: Blockchain Versus Trust-The Expert Issues in Disputes Over Crypto Assets -- 5 Decentralized Governance for Smart Contract Platform Enabling Mobile Lite Wallets Using a Proof-of-Stake Consensus Algorithm -- 5.1 Introduction -- 5.2 Preliminaries for Qtum Decentralized Blockchain Governance -- 5.3 Qtum Basic Requirement Sets for Decentralized Governance -- 5.3.1 UTXO Versus Account Model -- 5.3.2 Consensus Management -- 5.3.3 Mutualized Proof-of-Stake -- 5.3.4 AAL and EVM Integration -- 5.4 Scalability Extension of the Virtual Machine Through Decentralized Governance -- 5.4.1 Qtum Transaction Processing Using Virtual Machine -- 5.4.2 Decentralised Governance Protocol -- 5.5 Qtum Account Abstraction Layer -- 5.6 Discussion of the Technical Governance Realization -- 5.6.1 Hard fork Update -- 5.6.2 Qtum X86 Virtual Machine -- 5.7 Conclusions -- References -- 6 Blockchain Technology: Security and Privacy Issues -- 6.1 Introduction -- 6.2 Distributed Ledger Technology -- 6.2.1 Blockchain Benefits -- 6.2.2 How Blockchain Works -- 6.2.3 Consensus Algorithms -- 6.3 Blockchain Pros and Cons -- 6.4 Applications of Blockchain -- 6.4.1 Blockchain 1.0 -- 6.4.2 Blockchain 2.0 -- 6.5 Blockchain Security Issues -- 6.5.1 Cryptojacking Attacks -- 6.5.2 51% Attack -- 6.5.3 Smart Contract Attacks -- 6.6 Discussion -- 6.6.1 Voting and Blockchain -- 6.6.2 Energy and Blockchain -- 6.6.3 Web 3.0 and Blockchain -- 6.7 Conclusions -- References -- 7 Personal Data Protection in Blockchain with Zero-Knowledge Proof -- 7.1 Introduction -- 7.2 Related Works -- 7.3 Background About Blockchain. , 7.4 Personal Data Protection and Blockchain -- 7.5 Zero-Knowledge Proof on Blockchain -- 7.5.1 Zerocoin Protocol -- 7.5.2 Zerocash Protocol -- 7.5.3 Zcash and Zk-SNARK -- 7.6 Conclusion -- References -- 8 Design and Verification of Privacy Patterns for Business Process Models -- 8.1 Introduction -- 8.2 A Privacy-Aware System Using Blockchain -- 8.2.1 Scenario: A Cloud-Based Order System -- 8.3 GDPR Verification -- 8.3.1 Design Time Verification -- 8.3.2 Runtime Verification -- 8.4 Experimental Results -- 8.4.1 Evaluation of Design Time Verification -- 8.4.2 Evaluation of Runtime Verification -- 8.5 Conclusion -- References -- 9 Blockchain Technology in Energy Field: Opportunities and Challenges -- 9.1 Introduction -- 9.2 Blockchain Solutions for Energy Internet -- 9.3 Application Scenarios of Blockchain Technology in the Energy Industry -- 9.4 Challenges -- 9.5 Conclusions -- References -- 10 BlockChainTechnology for Energy Transition -- 10.1 Introduction -- 10.2 What Is the "Energy Transition"? -- 10.2.1 Business Models in the Energy Sector -- 10.2.2 New Business Models for Energy Transition -- 10.3 BlockChain and Smart Contracts in the Energy Sector -- 10.3.1 Types of Applications of BlockChain and Smart Contracts in the Energy Sector -- 10.3.2 New Business Models Enabled by BlockChain in the Energy Market -- 10.3.3 Risks and Issues Related to BlockChain and Smart Contracts -- 10.4 The Framework -- 10.4.1 The Business Model Canvas -- 10.4.2 The Use Case Selection -- 10.4.3 Impact Analysis of the Two Selected Use Cases -- 10.4.4 The Business Models for the Use Cases -- 10.4.5 Microgrid Business Model (Elaborated After the Workshop) -- 10.4.6 Discussion of the Results -- 10.5 Current Trends and Future Scenarios -- 10.5.1 P2P Distributed Energy Trading for Residential Microgrids. , 10.5.2 Bridging Industrial and Residential Microgrids Through Electric Vehicles -- 10.6 Conclusions -- References -- 11 The Feasibility and Significance of Employing Blockchain-Based Identity Solutions in Health Care -- 11.1 Introduction -- 11.2 A Brief History of Identities in the Digital Age -- 11.2.1 Fully Centralized Identity Management -- 11.2.2 Federated Identity Management -- 11.2.3 User-Centric Identity Management -- 11.3 The Main Ideas Behind Decentralized Identity Management -- 11.3.1 Decentralized Identifier Based on Blockchain -- 11.3.2 Zero-Knowledge Proof -- 11.3.3 Decentralized Blockchains and the Internet -- 11.4 The Technical Architecture of Decentralized Identity Management -- 11.4.1 Architecture Overview -- 11.4.2 Blockchain-Based DID Service -- 11.4.3 Standardization of DIDs -- 11.4.4 Examples of DID Frameworks -- 11.5 The Potential of Applying Blockchain-Based DID Solutions in Health Care -- 11.5.1 Addressing the Patient Mismatching Problem -- 11.5.2 Facilitating Patient Recruitment in Clinical Research Using DID -- 11.5.3 The Safer Use of Medical Devices -- 11.5.4 Limitations Facing Current Blockchain-Based DID Solutions -- 11.6 Conclusion -- References -- 12 Toward eHealth with Blockchain: Success Factors for Crowdfunding with ICOs -- 12.1 Introduction -- 12.2 Theoretical Background -- 12.2.1 eHealth -- 12.2.2 Initial Coin Offerings (ICOs) and Blockchain -- 12.2.3 Signaling Theory -- 12.3 Research Method -- 12.3.1 Related Work -- 12.4 Research Hypotheses -- 12.4.1 Data and Variables -- 12.5 Results and Discussion -- 12.5.1 Descriptive Statistics of the ICO Data -- 12.5.2 Multivariate Analysis of the Factors Influencing the Success -- 12.6 Discussion -- 12.7 Conclusion -- References -- 13 Blockchain Track and Trace System (BTTS) for Pharmaceutical Supply Chain -- 13.1 Introduction -- 13.2 Related Works. , 13.3 Overview of Bitcoin, Blockchain Platforms and Smart Contracts -- 13.4 The Proposal Model -- 13.4.1 Structure of Blockchain Track and Trace System (BTTS) -- 13.4.2 The Proposed Smart Contracts -- 13.5 Conclusion and Future Works -- References.

Note: Intro -- Preface -- Organizing Committee -- Contents -- Part ISignal and Image Processing -- 1 The PSF Measurement for Motion-Blurred Image Based on Analyzing the Frequency Spectrum -- Abstract -- 1…Introduction -- 2…Theoretical Analysis -- 2.1 The Relationship Between the PSF and Blurred Image Spectrum -- 2.2 Snake Model -- 2.3 Hough Transform in Polar Coordinate -- 3…The Point Spread Function Measurement for Motion-Blurred Image -- 3.1 The Steps for Solving Point Spread Function -- 3.2 Analysis of Experimental Results -- 4…Conclusion -- References -- 2 EBR Analysis of Digital Image Watermarking -- Abstract -- 1…Introduction -- 2…Watermarking Communication Model -- 3…Analysis of Watermarking Channel -- 4…Payload Capacity and EBR of Watermark Detection -- 5…Conclusions -- Acknowledgments -- References -- 3 Image Descriptors Based on Statistical Thermodynamics and Applications -- Abstract -- 1…Introduction -- 2…Research Ideas and the Main Content -- 2.1 Image Descriptor -- 2.2 Image Descriptor: Image Energy -- 2.3 Image Descriptor: Image Mass -- 2.4 Image Descriptor: Image Pressure -- 2.5 Image Descriptor: Image Temperature -- 3…Experiments and Analysis -- 3.1 Description of the Digital Image -- 3.2 Clustering Applications -- 3.3 Content-Based Image Retrieval -- 4…Conclusions -- Acknowledgments -- References -- 4 A Novel Image Retrieval Method Based on Fractal Code and Fuzzy Set -- Abstract -- 1…Introduction -- 2…Fractal Coding -- 3…Fuzzy Set Measure -- 3.1 Fuzzy Classifier -- 3.2 Proposed Algorithm -- 4…Similarity Measure -- 5…Experiment -- 6…Conclusion -- References -- 5 Velocity Evaluation in Traffic Accidents Occurred at the Road Intersection Based on Image Processing -- Abstract -- 1…Introduction -- 2…Algorithm Principle -- 3…Main Steps of Algorithm -- 3.1 Obtain Frame Sequences -- 3.2 Accurate Velocity of the Vehicle Calculation. , 3.3 Range Velocity of the Vehicle Calculation -- 4…Conclusion -- References -- 6 A Hybrid Method for Extracting Liver from 3D CT Image -- Abstract -- 1…Introduction -- 2…Related Research -- 3…Proposed Method -- 3.1 Three-Dimensional Region-Growing Algorithm -- 3.2 Image Morphology -- 4…Experimental Results -- 5…Summary -- References -- 7 A New Image-Fusion Technique Based on Blocked Sparse Representation -- Abstract -- 1…Introduction -- 2…Sparse-Coding Model -- 2.1 Selection of the Dictionary -- 2.2 Sparse Coding of Signals -- 3…Proposed Fusion Scheme -- 3.1 Fusion Framework Based on Sparse Coding -- 3.2 Fusion Rule -- 4…Experimental Results -- 5…Conclusion -- Acknowledgments -- References -- 8 The Studying of the Restoration of Defocused Images -- Abstract -- 1…Introduction -- 2…Disk Defocus Model -- 3…Gauss Defocus Model -- 4…Improved Defocus Model -- 5…Conclusion -- References -- 9 High-Order Total Variation-Based Image Restoration with Spatially Adapted Parameter Selection -- Abstract -- 1…Introduction -- 2…Problem Formulation -- 3…Implementation Details -- 4…Numerical Experiments -- Acknowledgments -- References -- 10 Research of Vehicle Identification Based on Adaptive Corner Detection -- Abstract -- 1…Introduction -- 2…Adaptive Harris Corner Detection -- 2.1 Harris Corner Detection Principle -- 2.2 Adaptive Harris Corner Detection Algorithm -- 3…Vehicle Classification and Recognition -- 3.1 Vehicle Matching Based on Hausdorff Distance -- 3.2 Experimental simulation and analysis -- 4…Conclusion -- References -- 11 Knowledge-Aided Bayesian Optimum Radar Detector -- Abstract -- 1…Introduction -- 2…Bayesian Optimum Radar Detector -- 3…Estimation Method for Detector Priori Distribution Parameter -- 3.1 PDF Fit-Based Method -- 3.2 Method of Fractional Moment -- 3.3 Method Based on Maximal Likelihood Estimation. , 4…KA-BORD Algorithm Performance Analysis -- 4.1 Algorithm Performance Analysis Based on Computer Simulation Data -- 4.2 Algorithm Performance Analysis Based on Sea-Clutter-Measured Data -- 5…Conclusion -- References -- Part IIComputer Security -- 12 An Improvement of an Identity-Based Key-insulated Signcryption -- Abstract -- 1…Introduction -- 2…Analysis of the Chen et al.'s Scheme -- 2.1 Review of the Chen et al.'s Scheme -- 2.2 Analysis -- 3…An Improved Scheme -- 3.1 Security Proof -- 4…Conclusion -- Acknowledgments -- References -- 13 Stability Analysis of a Rapid Scanning Worm Propagation Model with Quarantine Strategy -- Abstract -- 1…Introduction -- 2…Mathematical Model Formulation -- 3…The Stability Analysis for Equilibriums -- 3.1 Worm-Free Equilibrium and Its Stability -- 3.2 Endemic Equilibrium and Its Stability -- 4…Numerical Simulations -- 5…Conclusions -- Acknowledgments -- References -- 14 A Fuzzy Bayesian Approach to Enhance SCADA Network Security -- Abstract -- 1…Introduction -- 2…Architecture -- 3…Normal System Behavior Profiling -- 4…Anomaly Detection Algorithm -- 5…Simulations and Results -- Acknowledgments -- References -- 15 Trusted Network Access Authentication Scheme Based on the Label -- Abstract -- 1…Introduction -- 2…Summary of the Trusted Networks -- 3…Trusted Network Access Authentication Scheme Based on the Label -- 3.1 Scene Setting -- 3.2 Trusted Label -- 3.3 Access Authentication -- 4…Security Analysis -- 5…Conclusion -- References -- 16 A Mobile Terminal Authentication Scheme Based on Symmetric Cryptographic Mechanisms -- Abstract -- 1…Introduction -- 2…System Architecture -- 3…Authentication Process -- 3.1 Mobile User Registration -- 3.2 Authentication -- 3.3 Mobile User Unregistration -- 4…Scheme Analyze -- 4.1 Security Analyze -- 4.2 Performance Analysis -- 5…Conclusion -- Acknowledgments -- References. , 17 Wormhole Detection Algorithm Based on RTT and Neighborhood Information -- Abstract -- 1…Introduction -- 2…Wormhole Detection Algorithm Based on RTT and Neighborhood Information -- 2.1 Detecting Suspicious Neighbors -- 2.2 Looking for Abnormal Topology -- 2.3 Isolating False Neighbors -- 3…Simulation and Performance Analysis -- 4…Conclusion -- Acknowledgments -- References -- 18 Intrusion Detection Algorithm for the Wormhole Attack in Ad Hoc Network -- Abstract -- 1…Introduction -- 2…Wormhole Path-Tracking Algorithm Based on Detecting Nodes -- 2.1 The Specific Detection Algorithm Structuring -- 3…The Simulation -- 4…Conclusion -- Acknowledgments -- References -- 19 Ad hoc Eavesdropping Algorithm-Based Network Coding -- Abstract -- 1…Introduction and Related Research -- 2…Ad hoc Hacking Attack Resistance of Secure Network Coding -- 2.1 Network Model -- 2.2 Attack Model -- 2.3 Algorithm Ideas -- 2.4 Algorithm Ideas -- 3…Secure Proof -- 4…Communication Overhead -- 5…Conclusion and Outlook -- Acknowledgments -- References -- 20 Improved Halftone Visual Cryptography by Random Grids -- Abstract -- 1…Introduction -- 2…The Proposed Schemes -- 2.1 Random Position Selection -- 2.2 Homogeneous Distribution of SIPs -- 2.3 Generation of Halftone Shares -- 3…Simulation Results and Discussions -- 4…Discussions -- 5…Conclusions -- References -- 21 Statistical Tests for Combined Secret Key Sequence -- Abstract -- 1…Introduction -- 2…Binary Sequence Generation for Test -- 2.1 Combined Secret Key Generation -- 2.2 Generate and Save the Binary Sequence -- 3…Statistical Test and Assessment for CSK Sequences -- 3.1 Frequency (Monobit) Test -- 3.2 Runs Test -- 3.3 Serial Test -- 4…Conclusions -- Acknowledgments -- References -- Part IIICommunication and Networking -- 22 Interactive Satellite Remote Education System Based on Bluetooth and GPRS -- Abstract. , 1…Introduction -- 2…The Return Communication System -- 2.1 The Basic Frame of Method -- 2.2 Interactive Satellite Remote Education System Based on Bluetooth and GPRS -- 2.3 Data Interaction Process of System -- 3…The Design and Implementation of Core Modules -- 3.1 Terminal Node -- 3.2 Gateway -- 3.3 Mobile Node (Mobile) -- 4…Conclusions -- References -- 23 A Study of Smart Grid Communication Architecture -- Abstract -- 1…Introduction -- 2…SG Communications Requirements -- 3…SGICA -- 4…Information and Communication Technologies for SGICA -- 5…IP-Based Communications for SG -- 6…Summary -- Acknowledgments -- References -- 24 Green Router: Power-Efficient Router Design -- Abstract -- 1…Introduction -- 2…Architectural Design -- 3…Operation Mechanism -- 3.1 Dynamic Sleep and Wakeup -- 3.2 Dispatching Policy -- 4…Modeling and Evaluation -- 4.1 Modeling -- 4.2 Experiment and Evaluation -- 5…Conclusion -- References -- 25 Design and Implementation of Web Service for Scenario Data Service System in War Gaming -- Abstract -- 1…Introduction -- 2…Approach of Technology -- 3…Architecture of the System -- 4…Design and Implementation of Web Layer -- 4.1 Web Service Design -- 4.2 Index Service Design -- 5…Conclusion -- Acknowledgments -- References -- 26 Gateway of Internet of Things for Intelligent Warehouse Management System Based on Embedded Web Server -- Abstract -- 1…Introduction -- 2…Use Scenario and Functional Requirements of IOTGW -- 2.1 IOT Architecture of Intelligent Warehouse Management System -- 2.2 Functional Requirements of IOT Gateway -- 3…Design of Multiprotocol IOT-Gateway Based on Embedded Web Server -- 3.1 Design Elements and Principles -- 3.2 Architecture of Hardware and Software -- 4…Conclusions and Future Work -- Acknowledgments -- References -- 27 Research of Wireless Transmission Strategy for High-Speed Railway -- Abstract -- 1…Introduction. , 2…Research Environment and Content.

Note: Intro -- Preface -- Contents -- About the Editors -- Internet of Things (IOT) -- An Energy-Efficient Data Routing in Weight-Balanced Tree-Based Fog Network -- 1 Introduction -- 1.1 Fog Computing -- 1.2 Tree-Based Architecture -- 1.3 Data Routing -- 1.4 Green Computing -- 2 Related Works -- 3 Proposed Architecture Towards Fog Networks -- 4 Discussions -- 5 Conclusions and Future Work -- References -- A Systematic Overview of Fault Tolerance in Cloud Computing -- 1 Introduction -- 2 Basic Components of Cloud Computing -- 3 Characteristics of Cloud Computing -- 4 Cloud Deployment Models -- 5 Cloud Service Models -- 6 Fault Tolerance -- 7 Fault Tolerance in Cloud Computing -- 7.1 Fault Tolerance Approaches -- 7.2 Fault Tolerance Parameters -- 8 Conclusion -- References -- An EPIC Mechanism for Advertising the Tourist Spots in Smart Cities -- 1 Introduction -- 2 Related Works -- 3 System Model and Problem Formulation -- 4 Tourist Spots Advertisement Problem: Posted Price Mechanism -- 4.1 Outline of PPM-TSAP -- 4.2 Detailing of PPM-TSAP -- 4.3 Illustrative Example -- 4.4 Running Time of PPM-TSAP -- 5 Conclusion and Future Work -- References -- Data Analysis and Prediction of Terror Component Using Web Services -- 1 Introduction -- 2 Background -- 2.1 Intrusion Detection System (IDS) -- 2.2 Vector Space Model -- 2.3 Receiver Operator Characteristic (ROC) Curve -- 3 Content-Based Detection of Terror-Related Activity -- 3.1 Detection Environment -- 4 Detection of Typical Terrorist Behavior -- 5 Experimental Settings -- 5.1 Evaluation Measure -- 6 Result Summarization -- 7 Deployment Issues -- 8 Conclusion -- References -- Facial Expression Recognition System (FERS): A Survey -- 1 Introduction -- 2 Related Work -- 3 Dataset Used -- 4 Discussion and Comparison of Results -- 5 Conclusion -- References. , Load Balancing of Tasks in Cloud Computing Using Fault-Tolerant Honey Bee Foraging Approach -- 1 Introduction -- 2 Literature Review -- 2.1 Load Balancing in Cloud Computing -- 2.2 Fault Tolerance in Cloud Computing -- 2.3 Honey Bee Behaviour Inspired Load Balancing -- 2.4 Motivation -- 3 Proposed Work and Implementation -- 4 Conclusion and Future Work -- References -- Flip Learning: A Novel IoT-Based Learning Initiative -- 1 Introduction -- 2 Related Works -- 3 Level-Based Approach -- 3.1 Collaborative Learning Within the Campus -- 3.2 Middle Product -- 3.3 Customized Learning Out of the Campus -- 4 Technical Aspects -- 4.1 Mix of IoT and Cloud -- 4.2 Information Management Framework -- 4.3 Content Delivery Network -- 4.4 Use of AI -- 4.5 Virtual and Augmented Reality -- 4.6 Data Security in Network -- 5 Conclusion -- References -- Improvement of Load Balancing in Shared-Memory Multiprocessor Systems -- 1 Introduction -- 2 Overview on Prior Algorithms and Techniques -- 2.1 Static Scheduling -- 2.2 Dynamic Scheduling -- 3 Result and Discussion -- 3.1 The Mandelbrot Set [3] -- 4 Conclusion -- References -- Building Amazon Web Services Infrastructure from the Scratch for an Organization -- 1 Introduction -- 2 Proposed Work and Implementation -- 3 Conclusion and Future Work -- References -- Fault Detection for VANET Using Vehicular Cloud -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Work -- 4 Simulation Result and Discussion -- 5 Conclusion and Future Scope -- References -- An Approach to Cohort Selection in Cloud for Face Recognition -- 1 Introduction -- 2 Literature Survey -- 3 Architecture of the Proposed Approach -- 4 Cohort Selection Mechanism -- 4.1 Feature Extraction -- 4.2 Finding of Match Score -- 5 Database and Results -- 6 Conclusion -- References. , Internet of Things (IoT) Framework Deployment Template for Cloud-Based Harbor Surveillance and Ferry Monitoring System -- 1 Introduction -- 2 Proposed System -- 3 Model Building -- 3.1 Data Set and Test -- 4 Discussions -- 5 Conclusion -- References -- Art of Style Transfer Using Convolutional Neural Network: A Deep Learning Approach -- 1 Introduction -- 2 Materials and Methods -- 2.1 Dataset Used -- 2.2 Model for Image Classification -- 2.3 Convolutional Neural Network Training Process for Style Transfer -- 3 Experimental Results -- 3.1 Experimental Steps -- 4 Conclusion and Findings -- References -- Impact of Internet of Things (IoT) on 5G -- 1 Introduction -- 2 IoT Challenges -- 3 5G Challenges -- 4 5G Characteristics and Their Values/Applications -- 4.1 5G on IoT: A Single Network for Millions of Applications -- 4.2 The Importance of 5G on the IoT -- 4.3 Application of 5G Over IoT -- 5 The Impact of 5G on IoT -- 5.1 Establishing a 5G-IoT Ecosystem -- 5.2 Future of IoT -- 5.3 Aspects of IoT on Updated 5G Technologies -- 6 Conclusion -- References -- Prediction of Exchange Rate in a Cloud Computing Environment Using Machine Learning Tools -- 1 Introduction -- 2 Machine Learning Techniques Used for Prediction Modeling Data -- 2.1 Linear Regression -- 2.2 Regression Trees -- 2.3 Decision Tree Regression -- 2.4 Boosted Trees Regression -- 2.5 Random Forest Regression -- 2.6 Neural Network Regression -- 2.7 Cloud Computing Tools -- 3 Experimental Works -- 3.1 Data set Analysis -- 3.2 Result Analysis -- 4 Conclusion -- References -- Survey on Stock Price Forecasting Using Regression Analysis -- 1 Introduction -- 2 Literature Review -- 3 Regression -- 4 Regression Methodologies -- 4.1 Linear Regression -- 4.2 Polynomial Regression -- 4.3 Logistic Regression -- 4.4 Ridge Regression -- 4.5 Stepwise Regression -- 4.6 LASSO Regression. , 4.7 Elastic Net Regression -- 5 Conclusions -- References -- Intrusion Detection and Classification Using Decision Tree-Based Feature Selection Classifiers -- 1 Introduction -- 2 Intrusion Detection System -- 3 Data Mining-Based Approach -- 3.1 Decision Tree -- 3.2 Feature Selection -- 4 Dataset Used -- 5 Result Analysis -- 6 Conclusion -- References -- Role of Cloud Computing for Big Data: A Review -- 1 Introduction -- 2 Cloud Computing -- 2.1 Cloud Service Model -- 2.2 Cloud Deployment Model -- 2.3 Challenges and Issues of Cloud Computing -- 3 Big Data -- 3.1 Technologies Supported by Big Data -- 3.2 Challenges in Big Data -- 4 Conclusion -- References -- Role of Cloud Computing in Geotechnical Engineering -- 1 Introduction -- 2 Direct Role of Cloud Computing in Geotechnical Engineering -- 2.1 State-of-the-Art Cloud Computing -- 2.2 State of the Art Approaches for Geotechnical Cloud Computing -- 3 Cloud Computing and Parameter Identification Integrated in System Identification -- 3.1 System Identification -- 3.2 Component of SI -- 4 Inverse Analysis and Parameter Identification Supported by Cloud Computing -- 4.1 General Formulation of Parameter Identification Process -- 4.2 Inverse Analysis and Parameter Identification -- 5 Research Scope and Challenges -- 6 Conclusion -- References -- Energy-Efficient Clustering with Rotational Supporter in WSN -- 1 Introduction -- 2 Related Works -- 3 Proposed Method -- 3.1 Step 1-Clustering of Nodes -- 3.2 Step 2-Selection of CH -- 3.3 Step 3-Selection of NCH -- 3.4 Step 4-Selection of SCH -- 4 Simulation -- 5 Conclusion -- References -- A Review on Mobile Cloud Computing -- 1 Introduction -- 2 Need of MCC -- 3 Architecture -- 4 Background -- 4.1 Service Miniatures of MCC -- 4.2 Deployment Miniatures of MCC -- 5 Features of Mobile Cloud and Its Computing -- 5.1 Scalability -- 5.2 Mobility. , 5.3 Mobile Cyber Security with Privacy -- 5.4 Enhancing Reliability with Mobile Computing -- 5.5 Reduced Cost -- 5.6 Multiple Occupancy -- 5.7 Imbalance Web Transmission -- 6 Why Mobile Cloud Computing? -- 7 Issues in MCC -- 7.1 Scarcity of Mobile Appliances -- 7.2 Safety and Seclusion -- 7.3 Short Data Transferral Rate (Bandwidth) -- 7.4 Offloading -- 7.5 Quality of Communication and Broadcasting -- 8 Conclusion -- References -- Corroborating the Veracity of Body Fat Percentage and Classification of Sarcopenia Using Island Differential Evolution Algorithm -- 1 Introduction -- 2 Methodology -- 3 Optimization of the Formula and Techniques Used -- 4 Regression and Genetic Algorithm -- 5 Residuals and Goodness-of-Fit -- 6 Identification and Classification of Sarcopenia -- 7 Island Differential Evolution Algorithm -- 8 Results Obtained -- 9 Conclusion -- References -- Design of Compact Super-Wideband Monopole Antenna for Spectrum Sensing Applications -- 1 Introduction -- 2 Antenna Configuration -- 2.1 SWB QSCA -- 2.2 QSCA with Notch Bands -- 3 Results Discussion -- 4 Conclusion -- References -- Probabilistic and Distance-Aware Clustering Approach to Decrease the Effect of Hot Spot in WSN -- 1 Introduction -- 1.1 Wireless Sensor Network -- 1.2 WSN Challenges -- 1.3 Energy Efficiency -- 1.4 Clustering -- 1.5 LEACH -- 2 Distance Effect -- 2.1 Hot-Spot Effect -- 2.2 Residual-Energy-Based Clustering -- 3 Related Work -- 4 Proposed Protocol -- 5 Results -- 6 Conclusion -- References -- A Real-Time Sentiments Analysis System Using Twitter Data -- 1 Introduction -- 2 Literature Survey -- 3 Proposed System -- 3.1 Tweepy Stream Listener -- 3.2 Preprocessing -- 3.3 Sentimental Analysis -- 3.4 Representation -- 3.5 Tweet Storage -- 4 Case Studies -- 4.1 Qualifying 3-Spanish Grand Prix 2019 -- 4.2 Indian Election Results-2019 -- 5 Conclusion and Future Scope. , References.

Note: Intro -- Preface -- Acknowledgements -- Contents -- About the Editors -- Intelligent Computing -- Multi-SoftMax Convolutional Neural Network and Its Application in the Diagnosis of Planetary Gearbox Complicated Faults -- 1 Introduction -- 2 Fault Tree Structure and Muti-SoftMax Convolutional Neural Network -- 2.1 Fault Tree Structure -- 2.2 Working Parallel Structure -- 2.3 Structure of Multi-SoftMax Convolutional Neural Network -- 3 Process of Planetary Gearbox Fault Diagnosis -- 4 Example of Planetary Gearbox Fault Diagnosis -- 4.1 Structure of Convolutional Neural Network -- 4.2 Structure of Mutil-SoftMax Convolutional Neural Network -- 5 Experiment -- 6 Conclusion -- References -- Signal Complexity Measure Based on Construction Creep Rate in 3s Feature Space -- 1 Introduction -- 2 Methodology -- 2.1 0-1 Test for Chaos Review -- 2.2 New Algorithm (Spring Test) Block of 3s Plot and CC Rate -- 2.3 Two Equations as Test Cases -- 3 Results and Discussions -- 3.1 Results from pq-Plot of 0-1 Test to 3s Plot and CC Rate in Spring Test -- 3.2 Key Self-similarity Measure Threshold γ Locking in Max Complexity -- 4 Conclusions -- References -- Research on Partition Technology of Real-Time Database in Big Data Environment -- 1 The Introduction -- 2 Design of Tual-Time Partition Database System for Flow Computing -- 3 Implementation of Real-Time Partition System -- 4 Audit and Effect of System Effectiveness -- 5 Summary -- References -- RCS Sequence Period Estimation Method Based on Constant False Alarm Detection -- 1 Introduction -- 2 Periodic Movement Target Characteristics -- 3 Periodic Discriminant Method for Constant False Alarm Detection -- 3.1 Periodic Discriminant Method for Constant False Alarm Detection -- 3.2 Effectiveness Analysis -- 4 Experimental Verification -- References -- Target Recognition of RCS Sequence Based on Neural Network. , 1 Introduction -- 2 Build the Attitude Angle Template -- 3 Feature Extraction and Classifier Design -- 4 Neural Network Design -- References -- Encouraging Cooperation in Participatory Sensing with Reputation and Game Analysis -- 1 Introduction -- 2 System Model -- 3 Trust Model and Game Analysis -- 3.1 Trust Model -- 3.2 Game Model -- 3.3 Repeated Game Analysis -- 4 Conclusion -- References -- Multi-granularity Attribute Sentiment Analysis Based on Neural Network -- 1 Introduction -- 2 Related Work -- 3 Multi-granularity Sentiment Analysis Model -- 3.1 Task Definition -- 3.2 Model -- 3.3 Multi-granularity Attention Mechanism -- 3.4 Model Training -- 4 Experiment -- 4.1 Experimental Data and Parameter Configuration -- 4.2 Method Comparison -- 4.3 Analysis of Experimental Results -- 5 Conclusion -- References -- Study on Fuzzy Crop Planning Problems Based on Credibility Theory -- 1 Introduction -- 2 Basic Principles -- 3 Fuzzy Crop Planning Problem -- 3.1 Problem with Fuzzy Income Coefficients -- 3.2 Method -- 4 Conclusion -- References -- Empirical Research on the Antecedents of Enterprise IS Users' Voice Behavior Based on the Work Behavior Theory -- 1 Introduction -- 2 Theoretical Background and Hypotheses -- 3 Research Method -- 4 Research Results -- 5 Discussion and Conclusion -- References -- Image Fusion Based on Masked Online Convolutional Dictionary Learning with Surrogate Function Approach -- 1 Introduction -- 2 The Proposed Fused Algorithm -- 2.1 Masked Online Dictionary Learning Using Surrogate Function Approach with Sparse Matrix Computation -- 2.2 The Fusion Framework -- 3 Experimental -- 4 Conclusion -- References -- The Liquid Cooling Technique Based on Foam Metal Copper -- 1 Introduction -- 2 Liquid Cooling Module Design Optimization -- 2.1 Liquid Cooling Module -- 2.2 Liquid-Cooled Radiator -- 3 Liquid Cooling Module Testing. , 3.1 Comparison Test of Liquid Cooling Module Heat Dissipation Performance Based on Liquid Cooling System -- 3.2 Comparison Test of Heat Dissipation Performance of Liquid Cooling Module Based on Self-circulating Cooling System -- 4 Conclusion -- References -- Study on the Forecast of Driving Reaction Based on PNN and FCM -- 1 Introduction -- 2 Driving Reaction Relations -- 3 Driving Reaction Sample Unified Disposal -- 4 Driving Reaction Neural Network -- 5 Road Test Data Acquisition -- 6 Applying Analyses -- 7 Conclusions -- References -- Android Malware Detection via Behavior-Based Features -- 1 Introduction -- 2 Existing Malware Detection Technology -- 2.1 Static Testing Technology of the Existing Malware Detection -- 2.2 Existing Dynamic Malware Detection Technology -- 3 The Behavior-Based Feature Recognition of Detection Technology -- 3.1 The Overall Technical Program -- 3.2 User Operator Behavior Monitoring Module -- 3.3 Software Behavior Monitoring Module -- 3.4 The Malicious Behavior Feature Recognition Module -- 4 Conclusion -- References -- Analysis of the Power Converter Used in Wind Power Generator System -- 1 Introduction -- 2 Power Converter Topology for Wind Power System -- 2.1 Two-Level Voltage Source Converter -- 2.2 Multilevel Voltage Source Converter -- 2.3 Matrix Converter -- 2.4 Current Source Converter -- 3 Application Status of Converters in Variable Speed Constant Frequency Wind Power System -- 3.1 Converters Commonly Used in Medium and Low Voltage Wind Power Systems -- 3.2 Control Strategy of Common Converters in Wind Power System -- 4 Development Trend of Wind Power Converter -- 5 Conclusions -- References -- Evaluation of New Energy Theory Based on Data Recovery -- 1 Introduction -- 1.1 Research Background -- 1.2 Research Methods -- 2 Data Introduction -- 2.1 Data Sources -- 2.2 Data Processing. , 3 Theoretical Power Calculation -- 4 Conclusions -- References -- Summary, Reflection, and Prospect of Wind Power Development in China -- 1 Introduction -- 2 Wind Power Development History -- 3 Wind Power Consumption Situation -- 3.1 Wind Power Generation in Provinces -- 3.2 Accommodation Capacity Index -- 3.3 Abandoned Wind Power and Abandoned Rate -- 4 Development Summary -- 5 Suggestions -- References -- Time-Varying Probability Distribution Model of High Permeability Wind Power Considering Non-stationary Characteristics -- 1 Introduction -- 2 Time-Varying Characteristics of Wind Power Probability Distribution and Spatial Correlation Coefficient -- 2.1 Time-Varying Characteristics of Probability Distribution of Single Wind Farm -- 2.2 Time-Varying Characteristics of Rank Correlation Coefficients of Multi-wind Farms -- 3 Off-Line Conditional Dependence Model Set of Edge Probability Distribution and Rank Correlation Coefficient Matrix -- 3.1 Off-Line Conditional Dependence Model Set of Probability Distribution of Single Wind Farm -- 3.2 Off-Line Conditional Dependence Model Set of Rank Correlation Coefficient Matrix of Multi-wind Farms -- 4 Time-Varying Probability Distribution Sampling Algorithm -- 5 Validity Analysis of Time-Varying Probability Distribution Modeling -- 5.1 Simulation System -- 5.2 Effect of Time-Varying Characteristics on Wind Power Characteristic Modeling -- References -- An Adaptive T-Distribution Variation Based HS Algorithm for Power System ED -- 1 Introduction -- 2 The HS Based on Adaptive T-Distribution Mutation (t-LHS) -- 2.1 HS Algorithm -- 2.2 Variation Principle of T-Distribution -- 2.3 A HS Algorithm Based on Adaptive T-Distribution Mutation (t-LHS) -- 3 The Steps of t-LHS Algorithm for Solving ED Problems -- 4 Results and Comparison -- 4.1 3-Generator System -- 4.2 40-Generator System -- 5 Conclusions -- References. , Application of Improved Particle Swarm Optimization in Economic Dispatch of Power System -- 1 Introduction -- 2 Improved Particle Swarm Optimization (IMPSO) -- 2.1 Adjustment of Parameters -- 2.2 Optimal Learning Strategies -- 2.3 Objective Function -- 2.4 Constraints -- 2.5 Steps of IMPSO Algorithms for Solving ED Problems -- 3 Experimental Analysis and Results -- 4 Conclusions -- References -- Design of an Ultra-Short-Term Wind Power Forecasting Model Combined with CNN and LSTM Networks -- 1 Introduction -- 2 Related Works -- 2.1 Wind Power Generation Power -- 2.2 CNN Network -- 2.3 LSTM Network -- 3 The Description of the Experimental Progress -- 3.1 Data Preprocessing -- 3.2 CNN Layer -- 3.3 LSTM Layer -- References -- An Algorithm for Intelligent Attack Decision-Making -- 1 Introduction -- 2 Underlying Factors -- 3 Modeling for Intelligent Decision-Making -- 4 The Process of Intelligent Decision-Making -- 5 Achievement of the System -- 6 Conclusion -- References -- Wavelet Packet Energy Entropy Based Feature Analysis of Seismic Signals from Vehicle Targets -- 1 Foreword -- 2 Time-Frequency Feature of Seismic Signals from Vehicle Targets Based on Wavelet Packet Transformation -- 2.1 Test for Seismic Signals from Vehicle Targets -- 2.2 Wavelet Packet Transformation of Seismic Signals from Vehicle Targets -- 3 Energy Entropy Feature Extraction for Seismic Signals from Vehicle Targets Based on Wavelet Packet Transformation -- 3.1 Wavelet Packet Transformed Energy Entropy -- 3.2 Extraction of Energy Entropy Feature of Seismic Signals from Vehicle Targets Based on Wavelet Packet Transformation -- 4 Conclusion -- References -- Group Decision-Making Approach Under Interval-Valued Dual Hesitant Fuzzy Unbalanced Uncertain Linguistic Environments and Its Application to Community Tourism Resilience Evaluation -- 1 Introduction. , 2 Weighted Power Aggregation Operator with IVDHFUUBLS Information.

Note: Title Page -- Foreword -- Preface -- Editorial -- Contents -- Genetic Algorithm Based Fuzzy Frequent Pattern Mining from Gene Expression Data -- Introduction -- Goal of the Paper -- Proposed Model -- Paper Layout -- Related Work -- Preliminaries -- Apriori Algorithm -- FP-Growth Algorithm -- Fuzzy FP-Growth Tree -- Genetic Algorithm -- Experimental Evaluation -- Conclusion and Future Work -- References -- Prediction of Protein Tertiary Structure Using Genetic Algorithm -- Introduction -- Related Work -- Proposed Scheme -- Protein Conformation Representation -- Energy Function -- The Algorithm -- Experiments and Results -- Conclusion and Future Work -- References -- Hybrid Image Mining Methods to Classify the Abnormality in Complete Field Image Mammograms Based on Normal Regions -- Introduction -- Full-Field Mammogram Analysis -- Mammogram Database -- Enhancement Based on H Representation -- Regional Feature Extraction -- A Cascading Classifier for Identifying Normal Regions -- Full-Field Analysis Using Overlapped Regions -- Results -- Conclusion -- References -- Handwritten Script Recognition Using DCT, Gabor Filter and Wavelet Features at Line Level -- Introduction -- Method Description -- Data Collection and Preprocessing -- Feature Extraction -- Script Recognition -- Experimental Results -- Conclusion -- References -- Character Recognition Using 2D View and Support Vector Machine -- Introduction -- Character Recognition System -- Image Acquisition -- Preprocessing -- Segmentation -- Feature Extraction -- Classification and Recognition Using Support Vector Machine -- Experimental Result -- Conclusion -- References -- Automatic Localization of Pupil Using Histogram Thresholding and Region Based Mask Filter -- Introduction -- Proposed Method -- Algorithm -- Experimental Results -- Conclusion and Future Work -- References. , A Comparative Analysis on Edge Detection of Colloid Cyst: A Medical Imaging Approach -- Introduction -- Review of Previous Work -- Edge Detection Operators -- Sobel Operator -- Robert's Cross Operator -- Prewitt's Operator -- Laplacian of Gaussian -- Canny's Edge Detection Algorithm -- Performance of Edge Detection Algorithms -- Morphological Analysis -- Implementation of the Method -- Analysis-1 -- Analysis 2 -- Results -- References -- Automatic Localization and Segmentation of Left Ventricle from Short Axis Cine MR Images: An Image Driven Method -- Introduction -- Materials -- Methodology -- Automatic Cropping -- LV Segmentation -- Level Set Method -- Implementation Details -- Experimental Results -- Conclusion -- References -- Performance Analysis of Neural Network and ANFIS in Brain MR Image Classification -- Introduction -- Medical Image Classification -- Block Diagram of the System -- Transformation of Image to Data Form -- Principal Component Analysis -- Adaptive Neuro Fuzzy Inference System -- Neuro Fuzzy Model -- ANFIS Architecture -- Learning Algorithm of ANFIS -- ANFIS Classifier -- Results -- Conclusion -- References -- Hybrid Algorithm Using Fuzzy C-Means and Local Binary Patterns for Image Indexing and Retrieval -- Introduction -- Motivation -- Related Work -- Main Contribution -- Fuzzy C-Means Algorithms -- Local Binary Patterns -- Proposed System Framework (FLBP) -- Similarity Measurement -- Experimental Results and Discussions -- Database DB1 -- Database DB2 -- Conclusions -- References -- Artificial Neural Network (ANN) Based Object Recognition Using Multiple Feature Sets -- Introduction -- Some of the Relevant Works -- System Model -- Input and Pre-processing -- Feature Extraction -- Artificial Neural Network (ANN) -- Experiential Results and Discussion -- Conclusion -- References. , Protein Structure Prediction Using Multiple Artificial Neural Network Classifier -- Introduction -- Basic Biological Concept -- Necessities of PSSP -- Basics of Artificial Neural Network -- Methodology -- System Model -- Results -- Conclusions -- References -- An Intelligent Agent Based Intrusion Detection System Using Fuzzy Rough Set Based Outlier Detection -- Introduction -- Literature Survey -- Intelligent Agent Based Approach -- System Architecture -- Feature Selection Agent -- Fuzzy Rough Set Based Outlier Detection -- Fuzzy Rough Set Based Outlier Detection Algorithm -- Decision Manager -- Fuzzy Rough Set Based SVM (FRSVM) -- Results and Discussion -- Conclusion -- References -- Application of Ant Colony Algorithm for Classification and Rule Generation of Data -- Introduction -- Social Insects and Real Ant Colonies -- Ant Colony Optimization -- Ant-Miner.ACO Algorithm for Data Mining -- General Description of Ant-Miner -- Heuristic Function -- Rule Pruning -- Pheromone Updating -- Computational Results -- Dataset -- Test Setup -- Test Results -- Conclusion an Future Work -- References -- Immunised Navigational Controller for Mobile Robot Navigation -- Introduction -- Background -- The Primary and Secondary Response of the Immune System -- Antibodies -- Antibody-Antigen Binding -- Artifical Immune System for Robots -- System Architecture -- Immune Network Formulation -- Selection of Antibodies and Antigens -- Paratope and Idiotope Matrices -- Results and Discussion -- Reinforcement Learning -- Conclusion -- References -- Modified A* Algorithm for Mobile Robot Path Planning -- Introduction -- Related Works -- Proposed Approach -- Assumptions -- Algorithm of Path Planning -- Results and Discussions -- Case I: Obstacle Free Environment -- Case II: Obstacle Avoidance -- Conclusion -- References. , Artificial Immune System Based Path Planning of Mobile Robot -- Introduction -- Biological Immune System -- Concept of Immune System -- Idiotopic Network -- Path Planning Algorithm -- Defining Antibody and Antigen -- Mutual Action of Among Antibodies -- Mobile Robot Path Planning Algorithm Based on AIN -- The Proposed GA -- GA Operators -- Demonstrations -- Collision Free Movements in a Cluttered Environment -- Collision Free Movements in a Simple Environment -- Comparison between the Different Types of Fuzzy Controllers and Neuro-Fuzzy Controller -- Conclusion and Future Works -- References -- Facial Feature Extraction Using a 4D Stereo Camera System -- Introduction -- Face Acquisition -- The 4D Camera System and the Dimensional Imaging Software -- Obj File Format -- Facial Feature Extraction -- Detection of 'Tip of the Nose' -- Detection of the Point Where Nose Meets the Forehead -- Detection of Near Corners of the Two Eyes -- Results -- Future Work -- Discussion -- References -- Author Index.

Note: Intro -- International Program Committee -- Honorary Chair -- General Chairs -- Organizing Chair -- International Advisory Chair -- Founder of IRNet China -- Co-founder of IRNet China -- TPC Members -- Sponsors -- Preface -- Contents -- About the Editors -- 1 Study Optimization of Thermal Analysis of Anisotropic Materials in 3D Field Based on One-Dimensional Heat Conduction Equation Model -- 1.1 Introduction -- 1.2 Heat Transfer Mode and Process Analysis -- 1.3 Optimization Model of Protective Clothing Design for High-Temperature Engineering Work -- 1.3.1 The Establishment of the Model and the Proposal of the Hypothesis Conditions -- 1.3.2 Optimization Model Based on Inversion Method -- 1.4 Conclusion -- References -- 2 Shape Retrieval for 3D Models Based on MRF -- 2.1 Introduction -- 2.2 Feature Descriptor -- 2.3 Framework of Retrieval -- 2.3.1 Notations -- 2.3.2 Formulation -- 2.3.3 Potential Function -- 2.4 Spatial Consistency Test -- 2.4.1 Training -- 2.4.2 Testing -- 2.4.3 Index Based on Random Forest -- 2.4.4 Measure Similarity -- 2.5 Experiments -- 2.6 Conclusions -- References -- 3 Numerical Conformal Mapping Based on Improved Hermitian and Skew-Hermitian Splitting Method -- 3.1 Introduction -- 3.2 Numerical Conformal Mapping Based on the Charge Simulation Method -- 3.3 Improved HSS Method Based on (k, j)-Padé Iteration Method -- 3.4 Numerical Examples -- 3.5 Conclusions -- References -- 4 Hierarchical Clustering-Based Video Summarization -- 4.1 Introduction -- 4.2 Feature Extraction -- 4.2.1 Color Feature -- 4.2.2 Texture Feature -- 4.3 The Proposed Algorithm -- 4.3.1 Hierarchical Clustering Method -- 4.3.2 Optimize Initial Clustering Results to Extract Video Summary Key Frames -- 4.4 Experimental Results and Discussion -- 4.4.1 Evaluation Standard -- 4.4.2 Experimental Results -- 4.5 Conclusion -- References. , 5 Research on Multi-objective Optimization Problem of Engineering Project in 3D Field Based on Improved Particle Swarm Optimization Algorithm -- 5.1 Introduction -- 5.2 IPSO Algorithms -- 5.3 Model -- 5.4 Engineering Calculation and the Result Analysis -- 5.5 Conclusions -- References -- 6 3D Path Planning Based on Improved Particle Swarm Optimization Algorithm -- 6.1 Introduction -- 6.2 Path Planning Environment Modeling and Fitness Function -- 6.2.1 Environmental Modeling -- 6.2.2 Fitness Function -- 6.3 Improved PSO Algorithm -- 6.3.1 Basic PSO Algorithm -- 6.3.2 BFO Algorithm -- 6.3.3 Hybrid Algorithm -- 6.4 Simulation Verification -- 6.5 Conclusion -- References -- 7 Improving Parallel Magnetic Resonance Imaging Reconstruction Using Nonlinear Time Series Analysis -- 7.1 Introduction -- 7.2 Background -- 7.3 Method -- 7.4 Experimental Results -- 7.5 Conclusion -- References -- 8 Low Computational Complexity Third-Order Tensor Representation Through Inverse Spectrum Pyramid -- 8.1 Introduction -- 8.2 Method for Third-Order Tensor Representation Through 3D Reduced ISP -- 8.2.1 Representation of a Tensor of Size 4 × 4 × 4 -- 8.2.2 Representation of the Tensor of Size N × N × N Through N-Level 3D-RISP -- 8.3 Characteristics of the Spectrum Tensor Representation -- 8.4 Conclusions -- References -- 9 Spectral Reconstruction Based on Bayesian Regulation Neural Network -- 9.1 Introduction -- 9.2 Principle of Spectral Reflectance Reconstruction -- 9.2.1 Polynomial Regression -- 9.2.2 Bayesian Regularization BP Neural Network Algorithm -- 9.3 Experimental Results and Analysis -- 9.3.1 Experiment Process -- 9.3.2 Analysis and Comparison of Results -- 9.4 Conclusion -- References -- 10 Loose Hand Gesture Recognition Using CNN -- 10.1 Introduction -- 10.2 The Proposed Method -- 10.2.1 Training Data Preparation. , 10.2.2 The Proposed Neural Network Architecture -- 10.2.3 Loss Function -- 10.3 Experiments -- 10.3.1 CNN with Input RGB-D Images -- 10.3.2 CNN with Multi-resolution Features -- 10.3.3 Compared with Other Popular CNN Models -- 10.4 Conclusions -- References -- 11 Multi-focus Image Fusion Method Based on NSST and BP Neural Network -- 11.1 Introduction -- 11.2 Image Fusion Method -- 11.2.1 NSST Transformation -- 11.2.2 Feature Extraction and NSST Contrast -- 11.2.3 BP Neural Network Training -- 11.2.4 Algorithm Framework and Steps -- 11.3 Experiments Results -- 11.4 Conclusions -- References -- 12 Classification of 3D Remote Sensing Images Through Dimensionality Reduction and Semantic Segmentation Network -- 12.1 Introduction -- 12.2 Proposed Method -- 12.2.1 The Whole Approach Framework -- 12.2.2 Rasterization -- 12.2.3 Normalization and Hat Transform -- 12.2.4 DSM Post-processing -- 12.2.5 Network for Classification -- 12.3 Experiment -- 12.3.1 Training Deeplabv3+ -- 12.3.2 Post-processing by NDSM -- 12.3.3 Visualization of 3D Remote Sensing Images -- 12.4 Conclusion -- References -- 13 Research on Deep Learning Algorithm and Application Based on Convolutional Neural Network -- 13.1 Introduction -- 13.2 Convolutional Neural Network -- 13.2.1 Local Connection of Convolutional Neural Networks -- 13.2.2 Weight Sharing in Convolutional Neural Networks -- 13.3 The Overall Structure of the Convolutional Neural Network -- 13.4 The Application of Deep Learning Algorithm Based on Convolutional Neural Network -- 13.4.1 Application in the Field of Natural Language Processing -- 13.4.2 Application in the Field of Image Recognition -- 13.4.3 Application in the Field of Speech Recognition -- 13.5 The Conclusion -- References -- 14 Object Attribute Recognition Based on Hard Negative Mining and Convolutional Neural Network -- 14.1 Introduction. , 14.2 Object Location Based on Improved Faster R-CNN Model -- 14.2.1 Hard Negative Mining Strategy -- 14.2.2 OHEM-Faster R-CNN Object Location Model -- 14.3 Object Attribute Recognition Method Based on Improved Cascade Convolution Neural Network Model CS-CNN Model -- 14.3.1 Improved Activation Function and Loss Function -- 14.3.2 Improved CS-CNN Model Object Attribute Recognition Method -- 14.4 Experimental Simulations -- 14.4.1 Model Parameters -- 14.4.2 Experimental Simulations of Object Location -- 14.4.3 Contrastive Experimental Simulations of Object Attribute Recognition -- 14.5 Conclusion -- References -- 15 Research on Intelligent Identification Method of Power Equipment Based on Deep Learning -- 15.1 Introduction -- 15.1.1 Background -- 15.1.2 Purpose and Significance -- 15.1.3 Summary of Research Level at Home and Abroad -- 15.2 Solutions and Key Technologies -- 15.2.1 Power Equipment Image Processing and Feature Extraction -- 15.2.2 Power Equipment Classification -- 15.2.3 Establish a Standardized Image Analysis Library -- 15.3 Conclusion -- References -- 16 Chinese Color Name Identification from Images Using a Convolutional Neural Network -- 16.1 Introduction -- 16.2 Color Vocabulary Labeled Data Set -- 16.3 The Model of Color Recognition -- 16.3.1 Design of Multi-label Convolutional Neural Networks -- 16.3.2 Evaluation Criteria -- 16.3.3 Choosing the Appropriate Threshold -- 16.4 Conclusion -- References -- 17 Research and Design of a Key Technology for Accelerating Convolution Computation for FPGA-Based CNN -- 17.1 Introduction to Relevant Theories -- 17.1.1 Introduction to Convolution Neural Network -- 17.1.2 The Training Process -- 17.2 SpNet Model -- 17.3 Research on Correlation Algorithm Research -- 17.3.1 Im2col Algorithm -- 17.3.2 Strassen Algorithm -- 17.3.3 Improved Strassen Algorithm. , 17.4 An Accelerated Convolution Calculation Scheme Based on FPGA -- 17.4.1 Design of Training Architecture of Convolutional Neural Network Based on FPGA -- 17.4.2 Design and Implementation of Convolution Computing Module -- 17.4.3 Testing the Convolutional Neural Network -- 17.5 Summary -- References -- 18 Research on Voice Mark Recognition Algorithms Based on Optimized BP Neural Network -- 18.1 Introduction -- 18.2 Wavelet Transform of Voice Signal -- 18.3 Basic Conception of BP-GA -- 18.3.1 Construction of BP Neural Network VoicePrint Recognition -- 18.4 Design of Genetic Algorithm -- 18.5 Simulation Analyses of an Example with BP-GA Algorithm -- 18.6 Conclusions -- References -- 19 Single Image Super Resolution via Deep Convolutional Dual Upscaling Branches with Different Focus -- 19.1 Introduction -- 19.2 Related Works -- 19.2.1 Variant Shortcuts -- 19.2.2 Skillfully Nesting Modules -- 19.3 Proposed Method -- 19.3.1 The Entire Structure -- 19.3.2 Residual Learning Branch -- 19.3.3 Planar Component Branch -- 19.3.4 Mathematical Formulation -- 19.4 Experimental Results -- 19.4.1 Datasets -- 19.4.2 Parameters Settings -- 19.4.3 Results and Comparisons -- 19.4.4 Ablation Analysis -- 19.5 Conclusions -- References -- 20 Human Heart Model Rendering Based on BRDF Algorithm -- 20.1 Introduction -- 20.2 Theoretical Research and Experimental Methods -- 20.2.1 Theoretical Research -- 20.2.2 Experimental Method -- 20.3 Experimental Results -- 20.3.1 Experimental Conditions -- 20.3.2 Rendering Results and Analysis -- 20.4 Conclusions and Discussion -- References -- 21 Level Set Segmentation Algorithm for Cyst Images with Intensity Inhomogeneity -- 21.1 Introduction -- 21.2 C-V Model -- 21.3 Improved C-V Level Set Model -- 21.3.1 Local Information -- 21.3.2 Speed Function -- 21.3.3 Overall Energy Functional -- 21.4 Experimental Results and Analysis. , 21.5 Conclusion.

Note: Title Page -- Preface -- Contents -- Enhanced Mobile Ad hoc Routing Protocol Using Cross Layer Design in Wireless Sensor Networks -- Introduction -- Theory -- IEEE 802.15.4 Standard -- Ad hoc On-Demand Distance Vector (AODV) Protocol -- Cross Layer Design -- Propose Energy Weigh - AODV Protocol -- The Simulation -- Result and Performance Analysis -- Conclusion -- References -- Decision Support in Supply Chain Management for Disaster Relief in Somalia -- Introduction -- The Importance of Disaster Management -- Somalia as a Case Study -- Literature Review -- Problem Variants -- Existing Solutions -- Preemptive Multiobjective Programming -- Research Methodology -- Preemptive Optimization -- Data Gathering -- Results and Findings -- Conclusion and Future Work -- References -- Challenges in Cloud Environment -- System Quality Attributes -- Portability -- Recoverability -- Maintainability -- Transparency and Control -- Security -- OS Support -- RHEL Migration on AWS Cloud - An Experience -- Amazon as-is Architecture -- Migration from DevPay to Hourly on Demand -- Infrastructure as Code -- Recommendations -- Manageability -- Configurability -- Maintainability -- Portability -- Conclusion -- Challenges on Amazon Cloud in Load Balancing, Performance Testing and Upgrading -- Hosting a Web Application on Cloud -- Issues with Traditional Infrastructure -- Typical Web Application Topology -- Web Application on AWS -- Components Used -- Learning and Recommendations -- Load Balancers -- Auto Discovery of EC2 Nodes -- Performance Testing Environment -- Application Setup -- Load Generation Strategy -- Measurable Parameters -- Test Results -- Observations -- Recommendation -- Learning -- Conclusion -- A Rule-Based Approach for Effective Resource Provisioning in Hybrid Cloud Environment -- Introduction -- Objectives -- Resource Manager -- Related Work. , Rule Based Resource Manager -- Experimental Evaluation -- Conclusion -- References -- Browser Based IDE to Code in the Cloud -- Introduction -- Cloud Computing -- Integrated Development Environment -- Browser Based Integrated Development Environment -- Real Time Collaboration -- Forums -- Technical Blogs -- Existing Browser Based Coding Environment -- Cloud9 IDE -- CodeRun Studio [7] -- Eclipse Orion [8] -- Ideone -- eXo Cloud IDE -- Proposed System -- Design -- Real Time Collaboration -- Integrated Forum -- Technical Blogs -- Conclusion -- Zero Knowledge Password Authentication Protocol -- Introduction -- Motivation -- Contribution -- Organization of Paper -- Notations and Definitions -- Notations -- Definitions -- Relevance to Prior Work -- Cryptographic Primitives -- The Proposed Security Protocol : Zero Knowledge Password Authentication Protocol (ZK-PAP) -- ZK-PAP with PKE -- Conclusion -- References -- Author Index.