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 -- ICAIT-2021 Organization -- Preface -- Contents -- About the Editors -- Part I Invited Papers -- 1 Utilization of the Open-Source Arduino Platform to Control Based on Logic Eτ -- 1.1 Introduction -- 1.2 Theoretical Reference -- 1.2.1 Irrigation System -- 1.2.2 Irrigation Methods and Systems -- 1.2.3 Localized Irrigation -- 1.2.4 Paraconsistent Logic -- 1.2.5 Paraconsistent Annotated Evidential Logic Eτ -- 1.2.6 Para-Analyser Algorithm -- 1.2.7 Arduino -- 1.3 Methodology -- 1.4 Results -- 1.5 Conclusion -- References -- 2 Ontology Implementation of OPC UA and AutomationML: A Review -- 2.1 Introduction -- 2.2 Research Method -- 2.3 Results Analysis -- 2.4 Discussions -- 2.5 Conclusions -- References -- Part II Regular Papers -- 3 Airport Cab Scheduling Model Based on Queuing Theory -- 3.1 Problem Restatement -- 3.1.1 Problem Background -- 3.1.2 Problem Requirements -- 3.2 Model Assumptions -- 3.3 Symbol Description -- 3.4 Problem Analysis -- 3.4.1 Problem One Analysis -- 3.4.2 Problem Two Analysis -- 3.4.3 Problem Three Analysis -- 3.4.4 Problem Four Analysis -- 3.5 Model Building and Solving -- 3.5.1 Give the Taxi Driver's Decision Model in the Two Choices of A and B -- 3.5.2 Analyze the Rationality of the Model Through the Relevant Data of a Domestic Airport and Its City Taxi -- 3.5.3 How to Set the "Boarding Point" to Maximize the Efficiency of the Ride -- 3.5.4 A Theoretical Analysis of the Scale of "Boarding Points" and Lane Sides -- 3.5.5 According to the Difference in the Mileage of Different Taxis, Develop a "Priority" Arrangement Plan to Maximize Time and Revenue -- References -- 4 Machine Reading Comprehension Model Based on Multi-head Attention Mechanism -- 4.1 Introduction -- 4.2 Related Work -- 4.2.1 DuReader Dataset -- 4.2.2 DuReader Baseline Model -- 4.2.3 Multi-headed Attention Mechanism -- 4.3 Multi-head Attention Mechanism. , 4.3.1 Multi-head Attention Presidential Structure -- 4.3.2 Scaled Dot-Product Attention -- 4.4 Model Structure -- 4.4.1 Task Definition -- 4.4.2 Embedded Layer -- 4.4.3 Coding Layer -- 4.4.4 Matching Layer -- 4.4.5 Modeling Layer -- 4.4.6 Output Layer -- 4.5 Experiments and Results -- 4.5.1 Evaluation Criteria -- 4.5.2 Dataset -- 4.5.3 Experiments and Results -- 4.6 Conclusion -- References -- 5 Design of Military Physical Fitness Evaluation System Based on Big Data Clustering Algorithm -- 5.1 Introduction -- 5.2 Hardware Unit Design of Military Physical Fitness Evaluation System -- 5.3 Software Module Design of Military Physical Fitness Evaluation System -- 5.3.1 Construction Module of Military Physical Fitness Evaluation Index System -- 5.3.2 Application Module of Big Data Clustering Algorithm -- 5.3.3 Database Building Module -- 5.4 Experiment and Result Analysis -- 5.4.1 Construction of Experimental Environment -- 5.4.2 Experimental Data Analysis -- 5.4.3 Acquisition of Experimental Results -- 5.5 Conclusion -- References -- 6 ResNet-Based Multiscale U-Net for Human Parsing -- 6.1 Introduction -- 6.2 Related Work -- 6.3 Our Proposed Method -- 6.3.1 Encoder -- 6.3.2 Decoder -- 6.3.3 Multiscale Feature Fusion -- 6.4 Experiments -- 6.4.1 Datasets -- 6.4.2 Evaluation Metrics -- 6.4.3 Results -- 6.5 Conclusion -- References -- 7 Short-Term Electricity Price Forecast Based on SSA-SVM Model -- 7.1 The Introduction -- 7.2 SSA -- 7.3 SVM -- 7.4 The SSA-SVM Model -- 7.5 Example Analysis -- 7.5.1 Data Processing -- 7.5.2 Data Normalization -- 7.5.3 Evaluation Indicators -- 7.5.4 Analysis of Prediction Results -- 7.6 Conclusion -- References -- 8 Research on Mobile Advertising Click-Through Rate Estimation Based on Neural Network -- 8.1 Pricing and Placement of Advertisements -- 8.2 The AUC Indicators. , 8.3 Estimating Click-Through Rates of Mobile Ads Based on Neural Networks -- 8.3.1 Model -- 8.3.2 Objective Function and Algorithm -- 8.3.3 Key Points of Optimization -- 8.3.4 Result Analysis -- 8.4 Conclusion -- References -- 9 Research on Macroeconomic Prediction Technology Based on Wavelet Neural Network -- 9.1 Prediction Technology -- 9.2 Optimized Wavelet Neural Network Model -- 9.3 Case Study -- 9.3.1 Specific Introduction -- 9.3.2 Training of Learning Samples -- 9.3.3 Analyze the Macroeconomic Forecast Results -- 9.4 Conclusion -- References -- 10 Design Research on Financial Risk Control Model Based on CNN -- 10.1 Risk Control Model in Unbalanced Data Environment -- 10.1.1 Features of Financial Data -- 10.1.2 Pretreatment -- 10.1.3 Risk Control Model -- 10.2 Convolutional Neural Network (CNN) is Used to Build a Financial Risk Control Model -- 10.2.1 Design Network Structure -- 10.2.2 Result Analysis -- 10.2.3 Innovative Analysis -- 10.3 Conclusion -- References -- 11 Application of Multi-objective Optimization Algorithm in Financial Market Portfolio -- 11.1 Genetic Algorithm Analysis of Multi-objective Programming -- 11.2 Analysis of Portfolio Optimization Model Based on Genetic Algorithm -- 11.2.1 Model Framework -- 11.2.2 Factor Analysis -- 11.2.3 Risk Indicators -- 11.3 Application Results -- 11.3.1 Data Processing -- 11.3.2 Optimal Solution of Investment Portfolio -- 11.3.3 Comparative Analysis -- 11.4 Conclusion -- References -- 12 Research on Success Factors of Long Rental Apartment Based on SEM-ANN -- 12.1 Introduction -- 12.2 Methods -- 12.2.1 SEM Model -- 12.2.2 ANN Model -- 12.2.3 Research Model Based on SEM-ANN -- 12.3 Result Analysis -- 12.4 Conclusion -- References -- 13 T-AGP: A Kind of Music-Researching Method Based on Data-Driven Comprehensive System of Network Analysis -- 13.1 Introduction. , 13.2 Structure and General Description -- 13.3 The Influencer Network and Influence Analysis -- 13.3.1 Influence Measures -- 13.3.2 Subnetwork Analysis -- 13.4 Similarity Measure -- 13.4.1 The Exploration of Core Features -- 13.4.2 Micro-Similarity Between Two Pieces of Music -- 13.4.3 Macro-Similarity Between Two Genres -- 13.5 Similarity and Difference Between Genres -- 13.5.1 Genre Similarity Analysis -- 13.5.2 Genre Influence Analysis -- 13.5.3 What Distinguishes a Genre -- 13.5.4 Relationships Between Genres -- 13.5.5 Genres' Changes Over Time -- 13.6 The Mechanism of Influence from Influencer to Follower in Music -- 13.7 Dynamic Analysis Over Time and Identification of Major Leaps in Music -- 13.7.1 Dynamic Analysis of the Network -- 13.7.2 Music Characteristics' Evolution Over Time -- 13.8 Cultural Influence on Music -- 13.8.1 Influence from Technology -- 13.8.2 Influence from Social and Political Revolution -- 13.9 Conclusions and Prospects -- 13.9.1 Conclusions -- 13.9.2 Weakness -- 13.9.3 Prospects -- References -- 14 Application of Improved Algorithm of BP Neural Network -- 14.1 Model Analysis of BP Neural Network -- 14.2 Improve the Algorithm -- 14.3 Specific Application -- 14.3.1 PI Parameter Tuning of Valve Positioner -- 14.3.2 Shipboard Navigation System -- 14.4 Conclusion -- References -- 15 Application of Improved Harmony Search Algorithm in Photovoltaic MPPT Under Partial Shadow Conditions -- 15.1 Introduction -- 15.2 Analysis of Output Characteristics of Photovoltaic Cells Array in Partial Shadow -- 15.3 Harmony Search (HS) Algorithm -- 15.3.1 Traditional Harmony Search Algorithm -- 15.3.2 Improvement of Traditional HS Algorithm -- 15.3.3 MPPT Control Method Based on IHS Algorithm -- 15.4 Simulation Experiment Analysis -- 15.5 Conclusion -- References -- 16 A Traditional Butterfly Optimization Algorithm MPPT Method. , 16.1 Introduction -- 16.2 Multi-peak Output Characteristics of Photovoltaic Cells Under Local Shade -- 16.2.1 Mathematical Models of Multiple Photovoltaic Cells -- 16.2.2 Multi-peak Output Characteristics -- 16.3 MPPT Flow Chart Based on BOA -- 16.4 Simulation and Result Analysis -- 16.4.1 Simulation -- 16.4.2 Result Analysis -- 16.5 The Conclusion -- 1. References -- 17 Crops Plantation Problem in Uncertain Environment -- 17.1 Introduction -- 17.1.1 Motivation -- 17.1.2 Literature Review -- 17.1.3 Proposed Approaches -- 17.2 Basic Principles -- 17.3 Uncertain Crops Plantation Problem -- 17.4 Method -- 17.5 Conclusion -- References -- 18 Simplified Full-Newton Step Method with a Kernel Function -- 18.1 Introduction -- 18.2 Preliminaries -- 18.2.1 The Central Path of the Perturbed Problems -- 18.2.2 Search Directions -- 18.2.3 The Iterative Process of the Algorithm -- 18.3 The Properties of Simple Function and the Proximity Function -- 18.4 Algorithm Analysis -- 18.4.1 The Feasibility Step -- 18.4.2 Upper Bounds for paralleldxfparallel -- 18.4.3 Values of θ and τ -- 18.4.4 Centering Steps -- 18.4.5 Total Number of Main Iterations -- 18.5 Conclusion -- References -- 19 Marine Ship Identification Algorithm Based on Object Detection and Fine-Grained Recognition -- 19.1 Introduction -- 19.2 Overall Process -- 19.3 Design Scheme -- 19.3.1 Construction of Data Sets -- 19.3.2 Target Detection Network -- 19.3.3 Fine-Grained Identification Network -- 19.4 Experimental Verification -- 19.5 Conclusions and Prospects -- References -- 20 Automatic Detection of Safety Helmet Based on Improved YOLO Deep Model -- 20.1 Introduction -- 20.2 YOLOv5 Network Model -- 20.2.1 Input -- 20.2.2 Backbone -- 20.2.3 Neck -- 20.2.4 Output -- 20.3 Improvements -- 20.3.1 Anchor Boxes and Detection Scale -- 20.3.2 Loss Function -- 20.4 Experimental Result and Analysis. , 20.4.1 Dataset.

Note: Intro -- Preface -- Acknowledgements -- Contents -- Editors and Contributors -- Decision Support System -- Recommended Model of Pollution Information Based on Collaborative Filtering Algorithm -- 1 Introduction -- 2 Calculation of the Similarity of Pollution Information -- 3 Default Prediction Complement -- 4 Obtaining the Similarity Matrix Between Users -- 5 The Solution of the Model -- 6 Analysis of Model Results -- References -- Research on the Evaluation of TCM Service Level in Various Regions of China -- 1 Introduction -- 2 Data Sources and Methods -- 2.1 Data Sources -- 2.2 Methods -- 3 Results -- 3.1 Principal Component Analysis -- 3.2 Cluster Analysis -- 4 Discussion -- 4.1 Regional Disparities in TCM Service Levels -- 4.2 The Effect of Health Services is not Commensurate with the Level of Economic Development -- References -- A Method for Evaluating Health Status of Rail Transit Signaling Equipment Based on Group Decision -- 1 Introduction -- 2 Related Work -- 3 Establishing Rules for an Evaluation System -- 3.1 Defining an Evaluation Organization -- 3.2 Defining the Evaluation Scope -- 3.3 Establishing the Weight Coefficient Vector -- 3.4 Establishing Alarm Rules to Monitor Equipment Faults -- 3.5 Setting Parameters for an Equipment Type -- 4 Implementation of an Evaluation System -- 4.1 Fault Monitoring Cycle -- 4.2 Health Evaluation Cycle -- 5 Conclusion -- References -- Intelligent Decision Support System for Precision Medicine (IDSS 4 PM) -- 1 Introduction -- 2 Theoretical Foundation-Simon's Model of Decision-Making -- 3 Intelligent Decision Support Systems (IDSSs) -- 4 Precision Medicine: An Emerging Approach in Medical Decision-Making -- 5 How Technologies Are Advancing Precision Medicine? -- 5.1 Business Analytics -- 5.2 Cognitive Computing -- 6 Theory Practice and Discussion -- 7 Characteristics of IDSS 4 PM -- 8 Conclusion. , References -- A Study of Result-Oriented Performance Appraisal-Taking Huawei as an Example -- 1 Introduction -- 2 Increasing Flexibility of Bonus Package -- 2.1 Reducing Long-Term Returns and Increasing Short-Term Returns -- 2.2 Widening the Gap and Clarifying the Hierarchy -- 2.3 Awarding the Current Contribution Immediately -- 3 Abandoning the Cumbersome Human Resource Assessment -- 3.1 Assessment by Objectives -- 3.2 Avoiding Establishing KPI Indicators in Isolation for Each Department -- 4 Taking the Responsibility and Result-Oriented Method -- 4.1 Good Performance and Good Return -- 4.2 Combination of Performance Evaluation and Reverse Evaluation -- 4.3 Eliminating Pretending Hard-Working -- 5 The Conclusion -- References -- Under a Management Perspective: Analysis of the Relationship Between Trust and Behavior Decision-Making -- 1 Introduction -- 2 Data and Measurement -- 2.1 Data Sources -- 2.2 Variable Description and Reliability Validity Test -- 3 Data Analysis and Discussion -- 3.1 The Difference of Public Trust Under Different Demographic Variables -- 3.2 The Differences in the Ways of Public Behavior Decision-Making Under Different Demographic Variables -- 3.3 The Relationship Between Trust and Behavior Decision-Making -- 4 Conclusion -- References -- Research on the Regulation of Industrial Structure in the Mid-Southern Liaoning Urban Agglomeration from the Perspective of Spatial Connection -- 1 Introduction -- 2 Research Area and Data Sources -- 2.1 Overview of the Study Area -- 2.2 Data Sources -- 3 Research Method -- 3.1 Spatial Shift-Share Model -- 3.2 Determination and Improvement of Spatial Weight -- 4 Result Analysis -- 4.1 Analysis of the Temporal and Spatial Pattern of Urban Spatial Interaction -- 4.2 Analysis of Shift Share of Industrial Structure -- 5 Conclusions -- References. , Research on the Influence Mechanism of Family-Supportive Supervisor Behaviors on Employees' Intention to Stay from the Perspective of Dual Scenario Embeddedness -- 1 Introduction -- 2 Theoretical Basis and Research Hypothesis -- 2.1 FSSB and Employees' Intention to Stay -- 2.2 The Mediating Role of Dual Scenario Embeddedness -- 2.3 The Moderating Role of Employees' Gratitude as a Trait -- 3 Study Design -- 3.1 Participants and Survey Methods -- 3.2 Variable Measurement -- 4 Research Results -- 4.1 Descriptive Statistical Analysis -- 4.2 Discrimination Validity Analysis and Common Method Test -- 4.3 Hypothesis Testing -- 5 Conclusion -- 5.1 Theoretical Contribution -- 5.2 Management Implications -- 5.3 Research Limitations and Prospects -- References -- Policy Burden, Industry Competition, and Corporate Risk-Taking -- 1 Introduction -- 2 Theoretical Analysis and Research Hypothesis -- 2.1 Policy Burden and Corporate Risk-Taking -- 2.2 The Regulating Effect of Industry Competition -- 3 Research Design -- 3.1 Sample Selection and Data Sources -- 3.2 Variable Selection and Model Design -- 4 Empirical Results -- 4.1 Descriptive Statistics -- 4.2 Analysis of Regression Results -- 5 Endogenous Control and Robustness Test -- 5.1 Endogenous Problems -- 5.2 Robustness Analysis -- 6 Research Conclusions -- References -- Blended Teaching Mode of Tourism English Based on TPACK -- 1 Introduction -- 2 TPACK Theory -- 3 ESP and Tourism English -- 4 Research Design -- 4.1 Design Concept -- 4.2 Problem Design -- 4.3 Subjects and Teaching Contents -- 4.4 Research Steps -- 5 Experimental Conclusion -- References -- Technology and Innovation Management -- Research on Privacy Protection of Internet of Things Search Data Based on Fine-Grained Authorization -- 1 Introduction -- 2 Background Knowledge -- 2.1 Secret Search -- 2.2 Attribute-Based Encryption Scheme. , 3 System Program -- 3.1 System Architecture -- 3.2 Program Process -- 4 Safety and Performance Analysis -- 4.1 Security Analysis -- 4.2 Performance Analysis -- 5 Concluding Remarks -- References -- Design of Emergency Rescue Deduction System for Bus Fire Accident Based on Virtual Reality -- 1 Introduction -- 2 The Functional Requirements of Deducing System -- 3 The Design of Deduce System Architecture -- 4 Function Design of Deducing System -- 4.1 Scene Editing Module -- 4.2 Deduce Management Module -- 4.3 Client Operation Module -- 5 Composition of the Deduction System -- 6 Conclusion -- References -- Application of Game Theory in the Field of Technology Innovation -- 1 Introduction -- 2 The Application of Oligopoly Model in Technological Innovations -- 2.1 The Development of Cournot Model in Technological Innovations -- 2.2 Application and Development of Stackelberg in Technological Innovations -- 2.3 Application of Option Game Oligopoly Model in Technology Innovations -- 3 Research on Evolutionary Game Model in Technological Innovations -- 3.1 The Application of Evolutionary Game in Technological Innovations -- 3.2 The Development of Evolutionary Game Model in Technological Innovations -- 4 The Development Direction of Game Theory in Technological Innovations -- References -- Research on Innovation Mechanism of Corporate Volunteering in China -- 1 Introduction -- 2 The Concept and Connotation of Corporate Volunteering -- 3 The Status Quo of Volunteering in Chinese Enterprises -- 3.1 The Integration of Business Objectives Is Important for the Business Development Plan -- 3.2 Win the Sense of Belonging of Employees and the Identity of External Customers -- 3.3 Corporate Public Services Take from Society and Use for Society -- 3.4 Volunteering of Different Enterprises Vary Greatly -- 3.5 Long-Term Development of Volunteering Projects. , 3.6 Undertaking Government Public Service -- 4 Problems in the Development of Enterprise Volunteering in China -- 4.1 Insufficient Government Guidance -- 4.2 Information Guidance is not Strong -- 4.3 Lack of Corporate Volunteering Standards -- 4.4 Imbalance Between Long-Term and Short-Term Benefits -- 5 Development Trend of Corporate Volunteering -- 5.1 Internetization of Corporate Volunteering -- 5.2 Normalization of Corporate Volunteering -- 5.3 Diversification of Corporate Volunteering -- 5.4 Establish Self-organization of Corporate Volunteers -- 5.5 Corporate Volunteering Are Becoming More Standardized and Strict -- 6 Innovation of Corporate Volunteering Mechanism -- 6.1 Building Communication Network and Innovating Corporate Volunteering Mechanism -- 6.2 Taxation Policy -- 6.3 Expense Subsidies -- 6.4 Performance Evaluation -- 6.5 Establish a Sound Education and Training Mechanism -- 6.6 Establish a Sound Guarantee Mechanism to Protect the Volunteering of Enterprises -- References -- Research on the Differential Incentive Effect of Patent Pool on Specific Technology Learning -- 1 Research Background -- 2 Theoretical Analysis and Research Hypothesis -- 2.1 The Impact of Patent Pool Formation on Specific Technology Learning -- 3 Research Design -- 3.1 Data and Samples -- 3.2 Variables and Their Measurement -- 4 Empirical Results and Analysis -- 4.1 Descriptive Statistical Analysis -- 4.2 Hypothesis Testing -- 5 Conclusion and Inspiration -- 5.1 Research Conclusion -- 5.2 Management Suggestions -- References -- Research on Present Situation and the Countermeasure Analysis of Football Training in University -- 1 Introduction -- 2 The Present Situation of Campus Football Training in China -- 3 Problems in the Development of Campus Football Activities in China -- 3.1 Students' Poor Awareness for Football Activities. , 3.2 Unreasonable Arrangement of Football Activities.

Note: Intro -- Committees -- Chief Patron -- Patrons -- Finance Chair -- General Chair -- International Advisory Committee -- Program Chair -- Program Committee -- Organizing Chair -- Organizing Co-chair -- Conference Coordinator -- Convener -- Co-convenor -- Technical Program Committee Chairs -- Preface -- Contents -- About the Editors -- Part I Cloud Computing, Image Processing, and Software -- 1 An Intelligent Online Attendance Tracking System Through Facial Recognition Technique Using Edge Computing -- 1.1 Introduction -- 1.1.1 Motivation and Contribution -- 1.1.2 Organization of the Paper -- 1.2 Related Works -- 1.2.1 In the Year 2017 -- 1.2.2 In the Year 2018 -- 1.2.3 In the Year 2019 -- 1.2.4 In the Year 2020 -- 1.3 Significance of Edge Computing for Online Attendance Tracking System -- 1.4 Methodology -- 1.4.1 Student Registration -- 1.4.2 Faculty Registration -- 1.4.3 Image Capture -- 1.4.4 Face Detection -- 1.4.5 Extraction of Face Encodings -- 1.4.6 Face Recognition -- 1.4.7 Attendance Updation -- 1.5 Practical Implementation -- 1.6 Results and Discussion -- 1.7 Conclusion and Future Work -- References -- 2 Cloud Analytics: An Outline of Tools and Practices -- 2.1 Introduction -- 2.2 Related Work -- 2.3 Exploring the Ideology in Cloud-Based Analytics -- 2.4 Cloud Analytics Platforms -- 2.4.1 Qlik Sense Enterprise -- 2.4.2 Tableau -- 2.4.3 IBM Watson Analytics -- 2.4.4 Microsoft Power BI -- 2.4.5 TIBCO Spotfire X -- 2.4.6 SAS Business Analytics -- 2.5 Discussions -- 2.5.1 Benefits to Cloud-Based Analytics -- 2.5.2 Overview of Emerging Trends -- 2.6 Conclusion -- References -- 3 An Enhanced Fault-Tolerant Load Balancing Process for a Distributed System -- 3.1 Introduction -- 3.2 Background -- 3.2.1 Related Work -- 3.3 Proposed Enhanced Load Balancing Scheme with Resource Failure Rate Consideration -- 3.4 Simulated Results -- 3.4.1 Results. , 3.5 Conclusion -- References -- 4 HeartFog: Fog Computing Enabled Ensemble Deep Learning Framework for Automatic Heart Disease Diagnosis -- 4.1 Introduction -- 4.2 Related Works -- 4.3 HeartFog Architecture -- 4.3.1 Technology Used -- 4.3.2 Hardware Components Used -- 4.3.3 Software Components Used -- 4.4 HeartFog Design -- 4.4.1 Dataset -- 4.4.2 Heart Patient Data Pre-processing -- 4.4.3 Ensemble DL Application -- 4.4.4 Android Interface and Communication -- 4.4.5 Experimental Set-Up -- 4.4.6 Implementation -- 4.5 Results and a Discussion -- 4.6 Conclusion and Future Scope -- References -- 5 A Cloud Native SOS Alert System Model Using Distributed Data Grid and Distributed Messaging Platform -- 5.1 Introduction -- 5.2 Related Work -- 5.3 Preliminaries -- 5.3.1 ZooKeeper as Cluster Coordinator -- 5.3.2 Kafka as a Data Streaming Platform -- 5.3.3 Ignite as the In-Memory Data Grid -- 5.4 Proposed Architecture -- 5.5 Implementation -- 5.6 Conclusion -- References -- 6 Efficient Peer-to-Peer Content Dispersal by Spontaneously Newly Combined Fingerprints -- 6.1 Introduction -- 6.2 Literature Review -- 6.3 Proposed Work -- 6.3.1 Overview -- 6.3.2 Framework Architecture -- 6.3.3 Content Uploading and Splitting -- 6.3.4 Fingerprint Detection -- 6.3.5 Content Distribution -- 6.3.6 Anonymous Communication Protocol -- 6.3.7 Identification of Illegal Distribution -- 6.4 Experimental Results -- 6.4.1 Content Uploading and Splitting -- 6.4.2 Fingerprint Generation -- 6.4.3 Content Distribution -- 6.4.4 Identifying and Preventing Illegal Redistribution -- 6.5 Conclusion -- References -- 7 An Integrated Facemask Detection with Face Recognition and Alert System Using MobileNetV2 -- 7.1 Introduction -- 7.2 Related Works -- 7.3 Methodology -- 7.3.1 Facemask Detection Model -- 7.3.2 The Face-Recognition Model -- 7.3.3 Database -- 7.3.4 Web Application -- 7.4 Results. , 7.5 Conclusion -- References -- 8 Test Case Generation Using Metamorphic Relationship -- 8.1 Introduction -- 8.2 Usability of Successful Test Cases -- 8.3 The Formalization and Insight of Metamorphic Testing -- 8.4 Conclusion -- References -- Part II IoT/Network -- 9 IRHMP: IoT-Based Remote Health Monitoring and Prescriber System -- 9.1 Introduction -- 9.2 Previous Work -- 9.2.1 Architecture -- 9.2.2 Communication Protocol -- 9.3 IRHMP-IoT-Based Remote Health Monitoring and Prescriber System -- 9.3.1 Architecture -- 9.3.2 Functionalities Doctor -- 9.3.3 Implementation Working -- 9.4 Conclusion -- References -- 10 On Boundary-Effects at Cellular Automata-Based Road-Traffic Model Towards Uses in Smart City -- 10.1 Introduction -- 10.2 Review of the State-of-the-Art Available Works -- 10.3 Proposed Empirical Investigation -- 10.3.1 Search for More ECA Rules Toward Uses in Road-Traffic Simulation -- 10.3.2 Investigations on ECA Dynamics Toward Road-Traffic Simulation at Various Fixed-Boundary Situations -- 10.4 Detailed Discussions -- 10.5 Conclusive Remarks -- References -- 11 An Optimized Planning Model for Management of Distributed Microgrid Systems -- 11.1 Introduction -- 11.1.1 Components of a Micro Grid -- 11.1.2 Type of Micro Grid -- 11.2 Literature Survey -- 11.3 Proposed Model -- 11.3.1 Methodology -- 11.4 Results and Discussion -- 11.4.1 For PV System -- 11.4.2 For Wind System -- 11.4.3 For Fuel Cells Power Generating Systems -- 11.5 Conclusions -- References -- 12 Hard and Soft Fault Detection Using Cloud Based VANET -- 12.1 Introduction -- 12.2 Literature Study -- 12.3 Proposed Approach -- 12.3.1 Hard Permanent Fault Detection -- 12.3.2 Soft Fault Diagnosis -- 12.3.3 Fault Status Transmission Through Vehicular Cloud -- 12.4 Simulation Experiments and Discussions -- 12.5 Conclusion -- References. , 13 A Novel Intelligent Street Light Control System Using IoT -- 13.1 Introduction -- 13.2 Related Works -- 13.3 State of Art -- 13.3.1 Node MCU -- 13.3.2 PIR Sensor -- 13.3.3 Channel Relay -- 13.3.4 LDR -- 13.4 Proposed System -- 13.5 Features of Smart Street Light System -- 13.6 Results and Discussion -- 13.7 Conclusion and Future Scope -- References -- 14 Enhancing QoS of Wireless Edge Video Distribution using Friend-Nodes -- 14.1 Introduction -- 14.2 System Model -- 14.3 Video Dissemination Architecture -- 14.4 Simulation and Results -- 14.5 Conclusion -- References -- 15 Groundwater Monitoring and Irrigation Scheduling Using WSN -- 15.1 Introduction -- 15.2 Materials and Method -- 15.2.1 System Design -- 15.2.2 Data Collection -- 15.2.3 Hardware -- 15.2.4 Software and Database -- 15.2.5 Groundwater Level Measurement and Pumping Time -- 15.2.6 Crop Water Demand -- 15.2.7 Irrigation Water Requirements -- 15.2.8 Energy Consumption -- 15.2.9 Process Flow Diagram -- 15.2.10 Dashboard -- 15.3 Results -- 15.3.1 Discharge and Recharge of Groundwater -- 15.3.2 Electricity Consumption -- 15.3.3 Crop Water Demand -- 15.4 Conclusion -- References -- 16 A Soft Coalition Algorithm for Interference Alignment Under Massive MIMO -- 16.1 Introduction -- 16.2 System Model -- 16.3 Proposed Model -- 16.4 Experiment Results -- 16.5 Conclusion -- References -- Part III Optimization and Nature Inspired Methods -- 17 Improved Grasshopper Optimization Algorithm Using Crazy Factor -- 17.1 Introduction -- 17.2 Grasshopper Optimization Algorithms -- 17.2.1 Basic Grasshopper Optimization Algorithm (GOA) -- 17.2.2 Improved GOA with Crazy Factor (Crazy-GOA) -- 17.3 Result Analysis -- 17.4 Conclusion -- References -- 18 Reliability Estimation Using Fuzzy Failure Rate -- 18.1 Introduction -- 18.2 Reliability Using Fuzzy System -- 18.3 Discussion -- 18.4 Illustration. , 18.5 Conclusion -- References -- 19 A Sine Cosine Learning Algorithm for Performance Improvement of a CPNN Based CCFD Model -- 19.1 Introduction -- 19.2 Proposed SCA-CPNN-Based CCFD Model -- 19.2.1 Evaluation Criteria -- 19.3 Experimental Result Discussion -- 19.4 Conclusion -- References -- 20 Quality Control Pipeline for Next Generation Sequencing Data Analysis -- 20.1 Introduction -- 20.2 Background and Related Work -- 20.3 Datasets -- 20.4 Methods and Material -- 20.4.1 Duplicate Removal and Trimming -- 20.4.2 NGS Dataset -- 20.4.3 NULL Value Removal -- 20.4.4 Normalization -- 20.4.5 Dimensionality Reduction -- 20.5 Result Discussion -- 20.5.1 The Differentially Expressed Genes and Outlier Detection Visualization -- 20.5.2 The Differentially Expressed Gene Selection Using Dimension Reduction -- 20.6 Conclusion and Future Work -- References -- 21 Fittest Secret Key Selection Using Genetic Algorithm in Modern Cryptosystem -- 21.1 Introduction -- 21.1.1 Background -- 21.1.2 Motivation -- 21.1.3 Contribution -- 21.2 Preliminaries -- 21.2.1 Illustration of AVK -- 21.2.2 Genetic Algorithm -- 21.3 Proposed Work -- 21.4 Experiment Examples -- 21.5 Experiment Results -- 21.6 Performance Analysis -- 21.7 Randomness Verification -- 21.8 Conclusion -- 21.9 Future Work -- References -- 22 Variable Step Size Firefly Algorithm for Automatic Data Clustering -- 22.1 Introduction -- 22.2 Related Work -- 22.3 Variable Step Size Firefly Algorithm -- 22.4 Result Analysis -- 22.5 Conclusion -- References -- 23 GWO Based Test Sequence Generation and Prioritization -- 23.1 Introduction -- 23.1.1 Motivation -- 23.2 Basic Concept -- 23.2.1 GWO Algorithm -- 23.2.2 Adjacency Matrix -- 23.2.3 Objective Function/Fitness Function -- 23.3 Proposed Approach -- 23.3.1 Overview -- 23.3.2 Generation of Control Flow Graph -- 23.4 Implementation -- 23.4.1 Experimental Result. , 23.4.2 Prioritization.

Note: Intro -- Editorial -- Preface -- Contents -- About the Editors -- Mechatronics -- Dynamics Modeling of Active Full-Wheel Steering Vehicle Based on Simulink -- 1 Introduction -- 2 Dynamic Analysis and Modeling for Four-Wheel Steering Vehicle -- 2.1 Vehicle Coordinate System and Modeling Assumptions -- 2.2 Dynamic Differential Equations for Active Four-Wheel Steering Vehicle -- 2.3 Calculation of Normal Load of Each Wheel for 4WS Vehicle -- 2.4 Tire Model -- 3 Simulink Realization of Vehicle Dynamics Model -- 3.1 Wheel Velocity and Sideslip Angle Subsystem -- 3.2 Wheel Normal Load Subsystem -- 3.3 Tire Force Calculation Subsystem -- 3.4 Wheel Rotation Dynamics Subsystem -- 3.5 Roll Angle Calculation Subsystem -- 3.6 Body Dynamics Subsystem -- 4 Simulation Verification of Vehicle Dynamics Model -- 5 Conclusion -- References -- Modal Analysis and Dynamics Simulation of Elliptical Trainer -- 1 Introduction -- 2 Elliptical Structure and Simplification -- 3 Elliptical Trainer Simulation Analysis -- 3.1 Modal Analysis -- 3.2 Dynamics Simulation -- 4 Conclusion -- References -- Research and Design of Vehicle Simulation Subsystem of Testing Platform for CBTC System Based on Linux PowerPC -- 1 Introduction -- 2 Vehicle Simulation Subsystem -- 3 Unit Adapter -- 3.1 Hardware Platform Design -- 3.2 BSP Driver Development -- 4 Train Kinematics Simulation -- 4.1 Traction Calculation Model -- 4.2 Resistance Calculation Model -- 4.3 Braking Force Calculation Model -- 5 Implementation of Vehicle Simulation Subsystem -- 5.1 Environment Construction of Vehicle Subsystem -- 5.2 Implementation and Verification of Vehicle Subsystem -- 6 Conclusion -- References -- Analysis and Compensation of Angular Position Error in Servo Assembly -- 1 Introduction -- 1.1 Design of the High-precision Brushless Servo Assembly -- 2 Angular Position Error Analysis of the Servo Assembly. , 2.1 Analysis of Mechanical Factors Affecting Performance of Servo Assemblies -- 2.2 Shafting Error Analysis -- 3 Test Verification -- 3.1 Data Collection -- 3.2 Error Compensation Verification -- 4 Conclusion -- References -- Research on Exploratory Modeling of Combat Capability of Weapon SoS Based on Synergy -- 1 Introduction -- 2 Weapon System of Systems (SoS) -- 3 Exploratory Synergy Mechanism of Weapon SoS -- 3.1 The Characteristics of the Equipment System Synergy -- 3.2 Exploratory Synergetic Modeling of System Combat Capability -- 4 Explorative Modeling of Weapon SoS Combat Capability -- 4.1 Exploratory Construction of the Main Unit Model of the System's Combat Capability -- 4.2 Judgment Method of Relevant Relations of Operational Capability Subject Units -- 5 Conclusion -- References -- Research on Vibration Responses of Gear System with Backlash -- 1 Introduction -- 2 Mathematical Model -- 3 Numerical Simulation -- 4 Conclusion -- References -- Research on Application of CAN Bus Technology in Truck -- 1 Introduction -- 2 CAN Bus Technology Characteristics -- 3 Classification of Vehicle Networks -- 3.1 Class A Bus -- 3.2 Class B Bus -- 3.3 Class C Bus -- 4 Truck Bus Control System Network Scheme -- 5 Node Design -- 6 The Foreground and Developing Trend of Bus Technology in Automobile Network System Application -- References -- Design and Research of Calibration Method for Driving Loading Device of Single-Machine Thermal Vacuum Test System -- 1 Introduction -- 2 Overall Structure of Test System -- 3 Analysis of Calibration Principle -- 4 Design of Calibration Device for the Test System -- 4.1 Design of Support Frame -- 4.2 Installation Design of Calibration Arm -- 4.3 Design of the Loading of Weights -- 4.4 Design of Torque Calibration for Initial Position -- 4.5 Compensation Correction of Test System -- 5 Static Analysis -- 6 Conclusion. , References -- Wind Power and Hydropower Coordinated Operation Control Strategy Involving Electric Vehicles -- 1 Introduction -- 2 A Collaborative Optimal Scheduling Model for EV Charging and Wind Power and Hydropower -- 2.1 The Impact of Unordered Charging of Electric Vehicles on the Power Grid -- 2.2 Wind-EV-Hydro Control Principle -- 2.3 The Objective Function -- 2.4 The Constraint -- 2.5 Turbine Controller -- 3 The Example Analysis -- 4 Conclusions -- References -- Research on Intelligent Control System of Plate Straightening Based on Knowledge Acquisition -- 1 Introduction -- 2 Problem Solving and Analysis -- 3 Project Design of Straightening Machine Control System -- 3.1 Description and Analysis of the Method for Acquiring Shape Information -- 3.2 Analysis of Straightening Machine Intelligent Control System -- 3.3 Intelligent Control System Design -- 4 Analysis of Effect of Application of Shape Detection System -- 5 Conclusions -- References -- Numerical Simulation of Submarine Shaft-Rate Electric Field Based on COMSOL Finite Element -- 1 Introduction -- 2 Modeling of Ship in COMSOL -- 2.1 Model Simplification and Assumptions -- 2.2 Model Parameter -- 3 Simulation of Shaft-Rate Electric Field -- 3.1 Component Distribution of Electric Field -- 3.2 Electric Field Modes at Different Depths -- 4 Simulation of Different ICCP Protection Currents -- 4.1 Potential Distribution of Ship Hull Under Different ICCP Currents -- 4.2 Shaft-Rate Electric Field Under Different Cathodic Protection Currents -- 5 Conclusion -- References -- Gauss-Hermite PHD Maneuvering Multi-target Tracking Algorithm -- 1 Introduction -- 2 Probability Hypothesis Density Filter -- 2.1 Multi-target Tracking Stochastic Finite Set Theory -- 2.2 Mixed Gauss PHD -- 3 Gaussian-Hermitian PHD Algorithm Based on Interactive Multiple Models -- 3.1 Gaussian-Hermitian Filtering. , 3.2 Gaussian-Hermitian PHD Filtering Based on Interactive Multi-model -- 4 Simulation Results and Analysis -- 5 Conclusion -- References -- Research on Driving State Monitoring Based on Vehicle-Road Collaborative Wireless Positioning Technology -- 1 Introduction -- 2 The Vehicle Wireless Positioning Technology -- 3 Vehicle Wireless Positioning Principle Based on TDOA Ranging Method -- 3.1 TDOA Ranging Method -- 3.2 Vehicle Wireless Positioning Principle -- 3.3 Vehicle Motion State Monitoring Based on Vehicle-Road Coordination -- 4 Test Verification -- 5 Conclusion -- References -- Intelligent Systems -- Reliability Analysis of On-Board ATP System in Metro Based on Fuzzy Dynamic Fault Tree -- 1 Introduction -- 2 Methods and Materials -- 2.1 Analysis of Structure and Conditions of Metro ATP System -- 2.2 The Principle of Fuzzy Dynamic Fault Tree -- 2.3 Fuzzy Number Theory -- 3 Modeling and Solving of on-Board ATP System -- 3.1 Establishment of Dynamic Fault Tree Model -- 3.2 Fuzzy Calculation of Failure Rate and Maintenance Rate -- 3.3 Module Partitioning of Dynamic Fault Tree -- 3.4 Module Solution -- 3.5 Comparison and Analysis of Results -- 4 Conclusion -- References -- Image Fusion Based on Convolutional Sparse Representation with Mask Decoupling -- 1 Introduction -- 2 Convolutional BPDN Dictionary Learning with Mask Decoupling -- 3 Proposed CSRMD-Based Fusion Method -- 4 Experiments and Analysis -- 5 Conclusion -- References -- Research of the Test Algorithms of Servo System Frequency Characteristics -- 1 Introduction -- 2 Testing Sweep Signal of Servo System -- 3 Calculation of Frequency Characteristic -- 3.1 Fast Fourier Transform -- 3.2 Correlation Analysis -- 3.3 Power Spectrum Estimation -- 3.4 Least Squares Fitting -- 4 Conclusion -- References -- Utilization Factor Calculation Method Based on Adam Algorithm and Neural Network. , 1 Introduction -- 2 Model Establishment -- 2.1 Network Structure -- 2.2 Adam Optimization Algorithm -- 3 Model Training and Testing -- 3.1 Dataset -- 3.2 Model Parameters -- 3.3 Model Training and Testing -- 4 Conclusion -- References -- Demand Forecasting of Helicopter Aviation Materials Based on Multi-model Reliability Analysis -- 1 Introduction -- 2 Aviation Material Demand Forecast -- 2.1 Analysis and Forecast of High-Frequency Trouble Components -- 2.2 Analysis and Forecast of Reliability Growth Component -- 2.3 Analysis and Prediction of Basic Repairable Components -- 3 Application Example -- 3.1 Example 1 -- 3.2 Example 2 -- 4 Conclusion -- References -- A Fracture Model Established by Finite Element Simulation and Non-dominated Sorting Genetic Algorithm II for an Al Alloy -- 1 Introduction -- 2 Experiments and Methods -- 3 The Establishment of the Fracture Model -- 3.1 GTN Model -- 3.2 Determination of Model Parameters -- 4 Conclusions -- References -- Research on Fatigue-Magnetic Effect of High-Speed Train Wheelset Based on Metal Magnetic Memory -- 1 Introduction -- 2 ANSYS Fatigue Simulation and Analysis -- 2.1 Principle of Metal Magnetic Memory Detection and Fatigue Simulation Ideas -- 2.2 Boundary Conditions for Fatigue Simulation -- 2.3 Analysis Results of Fatigue Simulation -- 3 Test and Analysis -- 3.1 Acquisition of Test Data -- 3.2 Test Results and Analysis -- 4 Comparison Between Simulation and Test -- 5 Conclusions -- References -- Intelligent Manufacturing Information Security Sharing Model Based on Blockchain -- 1 Introduction -- 2 Related Works -- 3 Blockchain-Based Model for Intelligent Manufacturing -- 3.1 Architecture for Intelligent Manufacturing -- 3.2 System Model for Intelligent Manufacturing -- 3.3 Evaluation Index for Smart Manufacture -- 4 Example -- 5 Conclusion and Future Works -- References. , Research into Effects of Pearl Oyster Cultivation in Freshwater with Extensible Mind Mapping.

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 -- Committee Members -- Preface -- Contents -- About the Editors -- IOT, Big Data and Cloud Computing -- Big Data: A Boon to Fight Against Cancer Using Map Reduce Framework -- 1 Introduction -- 2 Literature Review -- 3 Proposed Work -- 3.1 MapReduce Architecture -- 4 Conclusion -- References -- Security Attacks and Its Countermeasures in RPL -- 1 Introduction -- 2 Related Work -- 3 About RPL -- 3.1 Control Messages in RPL -- 3.2 Traffic and Modes of Operation in RPL -- 4 Attacks in RPL -- 4.1 Attacks Against Resources -- 4.2 Attacks Against Topology -- 4.3 Attacks Against Traffic -- 5 Analysis -- 6 Conclusion and Future Scope -- References -- An Optimal Policy with Parabolic Demand Carry Forwarded with Three-Parameter Weibull Distribution Deterioration Rate, Scarcity and Salvage Value -- 1 Introduction -- 2 Model Formulation -- 2.1 Assumptions -- 2.2 Notations -- 2.3 Mathematical Formulation -- 3 Numerical Examples -- 3.1 Sensitivity Analysis -- 4 Conclusion -- References -- Information Actions Use for System Activity: Action Modeling Schemas -- 1 Introduction -- 2 The Need in Information Actions Use for System Activity -- 3 Action Modeling Schemas for the Theory of Information Actions Use for System Activity -- 4 Conclusion -- References -- High Security Object Integrity and Manipulation of Conceal Information by Hiding Partition Technique -- 1 Introduction -- 2 Requirements of Hiding Information Digitally -- 3 Digital Image Forensic Techniques for Feature Extraction -- 4 Spatial Transform Techniques -- 5 Conclusion -- References -- Performance Evaluation of FSO Under Different Atmospheric Conditions -- 1 Introduction -- 2 Simulation Setup -- 2.1 Simulation Result and Analysis -- 3 Conclusion -- References -- Smart Communication -- Design and Performance Analysis of High Reliability QOS-Oriented Adaptive Routing Protocol for MANET. , 1 Introduction -- 2 MANET -- 2.1 MANETS Characteristics -- 2.2 Application Areas of MANETS -- 2.3 Link Stability -- 3 Literature Survey -- 4 QOS-Oriented Adaptive Routing Protocol for 'MANET' -- 4.1 Formulas -- 4.2 Algorithm -- 5 Results -- 6 Conclusion -- References -- Circular Patch Antenna with Perturbed Slots for Various Wireless Applications -- 1 Introduction -- 2 Parameters for the Proposed Design -- 3 Results of the Proposed Antenna -- 4 Conclusion -- References -- A Secure Handshaking AODV Routing Protocol (SHS-AODV) with Reinforcement Authentication in MANET -- 1 Introduction -- 2 Ad Hoc on Demand Distance Vector -- 2.1 Path Discovery -- 2.2 Reverse-Path Setup -- 2.3 Forward-Path Setup -- 2.4 Route Table Management -- 2.5 Path Maintenance -- 2.6 Local Connectivity Management -- 3 Literature Survey -- 4 SHS-AODV Routing Protocol -- 4.1 Key Generation -- 4.2 Elliptic Curve Cryptographic Algorithm (Ecc) -- 4.3 Algorithm -- 5 Results -- 5.1 Simulation Environment -- 5.2 Performance Metrics -- 6 Conclusion -- References -- AI-Powered Smart Routers -- 1 Introduction -- 2 Related Work -- 2.1 Ununified Routing (Loosely Coupled Mono-Cum-Multi-agent Evolution Strategies) -- 2.2 Unified Routing (Close-Coupled Single-Cum-Multi-agent Evolution Strategies) -- 3 AI-Powered Network Routing -- 3.1 Regenerative Control Paradigm -- 3.2 Unified and Ununified AI-Powered Networking -- 4 Brainy (SMART/Intelligent) Network -- 4.1 Unified and Ununified AI-Powered Networking -- 5 Simulation -- 6 AI-Powered and Brainy Hardware Routers -- 6.1 Framework Design Formulation -- 6.2 Simulation Results -- 7 Conclusion -- References -- Modified Sierpinski Gasket Monopole Fractal Antenna for Sub 6 GHz 5G Applications -- 1 Introduction -- 2 Evaluation of Antenna Design -- 3 Performance Analysis of Proposed Antenna -- 4 Performance Analysis of Proposed Antenna -- 5 Conclusion. , References -- Design of a Dual-Ring Resonator Antenna for WBAN Applications -- 1 Introduction -- 2 Implementation of Dual-Ring Resonator -- 3 Results -- 4 Conclusion -- References -- Performance Analysis of MIMO Antenna for Isolation Improvement -- 1 Introduction -- 2 Single Antenna Design Calculations -- 3 Design of MIMO Antenna -- 4 Analysis of the Space Diversity of MIMO Antenna -- 5 Analysis of Prototype Orthogonal MIMO -- 6 Conclusion -- References -- Low Power and High-Speed Full Adder with Complemented Logic and Complemented XOR Gate -- 1 Introduction -- 2 Review of Full Adders -- 2.1 Hybrid Full Adder [9] -- 3 Proposed Full Adder -- 3.1 Sum Output Generation Using XNOR Cell -- 3.2 Carry Output Using XNOR Cell -- 4 Delay Analysis -- 5 4-Bit Adder -- 6 Power Analysis -- 7 Conclusion -- References -- Determining the Number of Bit Encryption That Is Optimum for Image Steganography in 8 Bit Images -- 1 Introduction -- 2 Various Techniques of Image Steganography -- 2.1 LSB Method -- 2.2 Palette-Based Technique -- 2.3 Secure Cover Selection -- 3 Terms Used -- 4 Proposed Method -- 5 Result -- 6 Discussion -- 7 Conclusion -- References -- Design and Analysis of 2nd-Order Bandpass Filters Using SIW and Microstrip Patch Transitions with Stub Matching -- 1 Introduction -- 2 Design-1 -- 3 Design 2 -- 4 Results Analysis -- 5 Conclusions -- References -- Planar Split Ring Resonating Antenna Design -- 1 Introduction -- 2 Antenna Design -- 3 Simulation Results -- 4 Conclusion -- References -- Pentagonal Microstrip Patch Antenna with Circular Slot for 9 GHz Applications -- 1 Introduction -- 2 Design of Pentagonal Patch with Slot -- 3 Results of the Proposed Antenna -- 4 Conclusion -- References -- Simulation and Analysis of an Optical Communication System Implementing DCF with Various Pulse Generators -- 1 Introduction -- 2 Simulation and Design. , 3 Result and Discussion -- 4 Conclusion -- References -- Simulation and Analysis of an 8 Channel CWDM Optical Network Suitable for Smart City Applications -- 1 Introduction -- 1.1 Multiplexing -- 1.2 DWDM -- 1.3 CWDM -- 2 Simulation Setup -- 3 Result and Discussion -- 4 Conclusion -- References -- Design of Low-Power Dynamic Threshold MOSFET (DTMOS) Push-Pull Inverter -- 1 Introduction -- 2 Proposed Design and Analysis -- 3 Simulation Results -- 4 Conclusion -- References -- Epileptic Seizure Detection Using Deep Learning Architecture -- 1 Introduction -- 2 Literature Review -- 3 Method Initiation with Improved Techniques -- 3.1 Data Extraction -- 3.2 Data Classification -- 4 Proposed Model -- 5 Result and Discussion -- 6 Conclusion -- References -- Ultra High Rate Inter-Satellite Optical Wireless Transmission Using DP-QPSK -- 1 Introduction -- 2 Modulation Format and Inter-Satellite Link -- 3 Proposed Set up -- 4 Results and Discussion -- 5 Conclusion -- References -- Investigation on Reactive Power Compensation Using STATCOM -- 1 Introduction -- 2 Research Method -- 2.1 Block Description and Operational Strategy -- 2.2 Network Description and Simulation -- 3 Results and Discussion -- 4 Conclusion -- References -- Smart Energy Systems -- Optimization of Set-Point Deviation and Current Ripple of PMSM by CCS-MPC Method -- 1 Introduction -- 2 PMSM Model Description -- 3 Model Description of CCS-MPC Method -- 4 Results and Discussion -- 5 Conclusion -- References -- Comparative Study, Design and Performance Analysis of Grid-Connected Solar PV System of Two Different Places Using PV syst Software -- 1 Introduction -- 2 Grid-Tied PV System -- 3 Methodology -- 3.1 PV Syst Software -- 3.2 Case Study -- 4 Input Requirement -- 4.1 Location -- 4.2 Tilt Angle -- 4.3 Albedo -- 4.4 Module and Inverter Specification -- 4.5 Economics Analysis. , 5 Simulation and Result -- 6 Conclusion -- References -- Transparent Solar Cell: A Powerful Device of Upcoming Era -- 1 Introduction -- 2 Discussion -- 2.1 Working Principle of Transparent Solar Cells -- 2.2 Different Types of Transparent Solar Cell -- 3 Applications -- 4 Conclusion -- References -- Machine Learning Techniques and Applications -- An Adaptive Firefly Optimization Algorithm for Human Gait Recognition -- 1 Introduction -- 2 Framework of the Proposed Approach -- 2.1 Gait Template Extraction -- 2.2 Introduction to Standard Firefly Algorithm (FA) -- 2.3 Adaptive Firefly Algorithm for Feature Selection -- 2.4 Pseudo-Code of an Adaptive Firefly Algorithm for Feature Selection -- 2.5 Combination of PCA and LDA -- 3 Experimental Analysis -- 3.1 Parameter Setting -- 3.2 Performance Evaluation Metrics of Classification -- 3.3 Results and Discussion -- 4 Conclusion -- References -- Job Prediction Astrology for Using Classification Techniques in Machine Learning -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Data Set (HOROSCOPE) -- 3.2 Feature Extraction -- 4 Data Processing Techniques -- 4.1 Logistic Regression -- 4.2 Naïve Bayes Classification -- 4.3 DTNB -- 5 Experiments and Analysis -- 6 Conclusion -- References -- Developed Face and Fingerprint-Based Multimodal Biometrics System to Enhance the Accuracy by SVM -- 1 Introduction -- 1.1 Face Recognition -- 1.2 Fingerprint Recognition -- 1.3 Fusion -- 2 Literature Review -- 3 Methodology -- 3.1 Face -- 3.2 Finger -- 3.3 Principal Component Analysis -- 3.4 SVM Classifier -- 4 Result and Experiments -- 5 Conclusion -- References -- A Survey on Deep Learning Techniques for Anomaly Detection in Human Activity Recognition -- 1 Introduction -- 2 Deep Learning -- 3 Methods and Implementation -- 4 Discussions -- 5 Conclusion -- References. , Evaluation of Different Paradigms of Machine Learning Classification for Detection of Breast Carcinoma.

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 -- Waste Management in the Fashion and Textile Industries -- Copyright -- Contents -- Contributors -- Part One: Introduction -- Chapter 1: Fashion waste management problem and sustainability: A developing country perspective -- 1.1. Introduction -- 1.2. Waste management -- 1.2.1. 3R approach -- 1.2.2. Exchange and renting -- 1.2.3. Upcycling concept -- 1.2.4. Controlling waste by lean concepts -- 1.2.4.1. Minimizing process waste -- 1.2.4.2. Minimizing material waste -- 1.2.5. Effluent treatment -- 1.2.6. Fashion consumption and consumer attitude -- 1.2.7. Product life cycle assessment -- 1.2.8. Recyclability -- 1.3. Recycling of plastics (polyester and nylon) -- 1.4. Survey findings -- 1.5. Conclusions and future directions -- Acknowledgment -- References -- Chapter 2: Hazards of fashion and textile waste: Approaches for effective waste management -- 2.1. Introduction -- 2.2. Problems and hazards associated with raw material types -- 2.3. Hazards of wasteful utilization of toxic chemicals-Land, water, and air pollution -- 2.3.1. Problems and hazards associated with toxic chemicals -- 2.3.2. Problems and hazards associated with water and air pollution -- 2.3.3. Problems and hazards associated with soil infertility and degradation -- 2.4. Problems and hazards caused by textile and fashion waste -- 2.4.1. Textile waste and associated hazards -- 2.4.2. Hazards and waste from fashion industry -- 2.4.3. Hazards of overproduction in fashion industry -- 2.4.4. Deleterious impacts of fast fashion on environment -- 2.4.5. Hazards due to transport and shipment of fashion merchandise -- 2.4.6. Hazards due to improper buying and usage behavior of consumers -- 2.4.7. Hazards due to problematic recycling -- 2.4.8. Hazards associated with fashion waste -- 2.5. Waste management strategies to combat textile and fashion hazards. , 2.5.1. Role of designers in waste management -- 2.5.2. Waste management at the raw material procurement stage -- 2.5.3. Role of manufacturers in waste management -- 2.5.4. Waste management by minimal and effective utilization of chemicals and water -- 2.5.5. Waste management by effective utilization of water -- 2.5.6. Wastewater recycling and treatment -- 2.5.6.1. Wastewater treatment -- 2.5.7. Waste elimination at source and waste minimization -- 2.5.7.1. Product changes as means of waste minimization -- 2.5.7.2. Process changes as means of waste minimization -- 2.5.8. Waste management by recycling and regeneration -- 2.5.8.1. Recycling and regeneration techniques -- 2.5.9. Innovative approaches by fashion industry for waste management -- 2.5.9.1. Emergence of smart fashion -- 2.5.9.2. Introducing the concept of slow fashion -- 2.5.9.3. Principle of sharing economy -- 2.5.9.4. Extended producer responsibility (EPR) and in-store collection -- 2.5.9.5. Endorsing closed loop system -- 2.5.9.6. Raising consumer awareness -- 2.5.10. Role of brands in waste management -- 2.5.11. Role of consumers in waste management -- 2.5.12. Disposal ecology for waste management -- 2.6. Conclusions -- Further reading -- Part Two: Waste management technologies in manufacturing -- Chapter 3: Management of spinning and weaving wastes -- 3.1. Introduction -- 3.2. Classification of waste -- 3.3. Waste in spinning -- 3.3.1. Blow room -- 3.3.2. Carding -- 3.3.3. Draw frame -- 3.3.4. Combing -- 3.3.5. Simplex -- 3.3.6. Ring frame -- 3.3.7. Winding -- 3.4. Waste in weaving -- 3.4.1. Warping -- 3.4.2. Sizing -- 3.4.3. Knotting -- 3.4.4. Gaiting/tying-in wastage -- 3.4.5. Selvedge -- 3.4.6. Chindi -- 3.4.7. Beam residual wastage -- 3.5. Recycling of spinning and weaving waste -- 3.6. Machine for waste management -- 3.6.1. Willow machine -- 3.6.2. Marzoli trash analyzer. , 3.6.3. Marzoli recycling waste reopener (RWR) -- 3.6.4. Roving stripping and opening machine -- 3.6.5. Thread extractor (Bhatia, 2017) -- 3.6.6. Garnetting machine -- 3.7. Conclusions -- Acknowledgment -- References -- Chapter 4: Management of wastes in garment manufacturing -- 4.1. Introduction -- 4.2. The importance of marker planning and fabric waste management -- 4.3. Recycling fiber, yarn, and fabric wastes and recent trends -- 4.4. Bangladesh using cotton waste as a source of biogas -- 4.5. Solid waste from the Ethiopian leather sector -- 4.6. The control measures in waste management -- 4.6.1. What can be done to minimize wastes? -- Garneting -- Web preparation -- 3D weaving -- Composite manufacturing -- Compression molding -- Seamless garments -- 4.7. Conclusions and future directions -- References -- Chapter 5: Technologies for the management of wastewater generated in wet processing -- 5.1. Introduction -- 5.2. Control of effluent quality -- 5.2.1. Equalization -- 5.2.2. Recovery of by-products -- 5.2.3. Process modification -- 5.2.4. Loss of chemicals -- 5.2.5. Segregation -- 5.3. Effluent treatment methods -- 5.3.1. Coagulation, flocculation, and precipitation -- 5.3.2. Adsorption methods -- 5.3.3. Synthetic ion exchangers -- 5.3.3.1. Fiber-based synthetic bioabsorbents -- 5.3.4. Biological treatments -- 5.3.5. Oxidation techniques -- 5.3.6. Membrane separation -- 5.3.6.1. Microfiltration (MF) -- 5.3.6.2. Ultrafiltration (UF) -- 5.3.6.3. Nanofiltration (NF) -- 5.3.6.4. Hyperfiltration (HF)/reverse osmosis (RO) -- 5.3.7. Electrochemical processes -- 5.3.7.1. Electrodialysis -- 5.4. Effluent treatment plant -- 5.5. Conclusions -- References -- Chapter 6: Management of air quality -- 6.1. Introduction -- 6.2. Effluent gas -- 6.2.1. CO2 removal -- 6.2.1.1. Amine scrubbing -- 6.2.1.2. CO2 storage -- 6.2.2. SOx removal -- 6.2.3. NOx removal. , 6.2.4. Mercury removal -- 6.3. Volatile organic compounds (VOCs) -- 6.4. Activated carbon fibers -- 6.5. Alternative technologies -- 6.6. Conclusions -- Funding -- References -- Part Three: Retail and consumer waste management technologies -- Chapter 7: Packaging waste and their management technologies -- 7.1. Introduction -- 7.2. Packaging defined -- 7.3. Functions of packaging -- 7.4. Materials used for packaging -- 7.5. Consumer attitudes -- 7.6. Managing package waste -- 7.6.1. Recycle -- 7.6.2. Waste prevention or material minimization -- 7.6.3. Reuse -- 7.6.4. Compostable -- 7.6.5. Energy recovery -- 7.7. Conclusions and future directions -- References -- Chapter 8: End of life clothes and their management -- 8.1. Introduction -- 8.2. Collection of used clothing -- 8.3. Reuse of secondhand clothing -- 8.4. Redesign and remanufacturing -- 8.5. Recycling -- 8.5.1. Mechanical recycling -- 8.5.2. Thermal recycling -- 8.5.3. Chemical recycling -- 8.6. Energy recovery -- 8.7. Disposal to landfill -- 8.8. Conclusions -- References -- Chapter 9: Organizations and standards related to textile and fashion waste management and sustainability -- 9.1. Introduction -- 9.1.1. Waste management and sustainability -- 9.1.1.1. Green manufacturing and recycling in fashion -- Organic cotton -- Organic cotton production across the globe -- The opportunities and setting standards for organic cotton -- 9.1.1.2. Green distribution -- 9.1.1.3. Green retailing -- 9.2. Organizations for waste management and sustainability -- 9.2.1. Fashion brands -- 9.2.1.1. HandM -- 9.2.1.2. Marks and Spencer -- 9.2.1.3. Patagonia -- 9.2.1.4. Nike -- 9.2.2. Few other fashion brands -- 9.3. Standards for waste management and sustainability -- 9.3.1. Global organic textile standards (GOTS) -- 9.3.2. Sustainable textile production (STeP) by OEKO-TEX. , 9.3.3. Eco-label certification such as STANDARD 100 by OEKO-TEX -- 9.3.4. Bluesign -- 9.3.5. Cradle to cradle -- 9.3.6. International standards organization -- 9.3.7. Higg index and sustainable apparel coalition -- 9.4. Other organizations and events -- 9.4.1. Zero discharge of hazardous chemicals (ZDHC) -- 9.4.2. UNGC code of conduct for the fashion and textile industry -- 9.4.3. Copenhagen fashion summit -- 9.4.4. Dow Jones sustainability world index -- 9.4.5. Fashion transparency index -- 9.4.6. Youth fashion summit -- 9.4.7. Specific codes of conduct in Australia -- 9.4.8. Specific codes of conduct in Germany -- 9.5. Extended producer responsibility (EPR) for textiles -- 9.5.1. EPR program for postconsumer textiles and clothing recovery -- 9.6. Challenges and opportunities in waste management with Indian paradigms -- 9.6.1. Upasana studio, Auroville, India -- 9.6.1.1. Tsunamika -- 9.6.1.2. Small steps -- 9.6.2. Fabric Monde, Bengaluru -- 9.6.3. Pratibha Syntex, Indore -- 9.6.4. Stylumia, Bengaluru -- 9.7. Conclusions and future directions -- 9.7.1. Significant findings -- 9.7.2. Future directions -- References -- Part Four: Other waste management technologies -- Chapter 10: Automotive waste management technologies -- 10.1. Introduction -- 10.2. Automotive waste -- 10.2.1. Recycling and energy recovery -- 10.2.2. Mechanical recycling -- 10.2.3. Argon process -- 10.2.4. Thermal treatment process -- 10.2.4.1. Pyrolysis process -- 10.2.4.2. Sequential gasification and combustion -- 10.2.5. Injecting molding with automobile shredder residue -- 10.3. Recycling automotive composites and components -- 10.4. End of life (EOL) -- 10.5. Other applications -- 10.6. Conclusions -- Funding -- References -- Chapter 11: Waste management in coated and laminated textiles -- 11.1. Introduction -- 11.2. Coated and laminated textiles -- 11.2.1. Coated textiles. , 11.2.2. Nanomaterial incorporated coated textiles.

Note: Intro -- Preface -- Contents -- About the Editors -- Intelligent and Cloud Computing -- M-Throttled: Dynamic Load Balancing Algorithm for Cloud Computing -- 1 Introduction -- 2 Literature Survey -- 3 Existing Algorithms -- 3.1 Throttled Load Balancing -- 3.2 Round-Robin Load Balancing -- 3.3 SJF Load Balancing -- 4 Proposed Algorithm: M-throttled -- 5 Implementation -- 6 Conclusion -- References -- iGateLink: A Gateway Library for Linking IoT, Edge, Fog, and Cloud Computing Environments -- 1 Introduction -- 2 Related Work -- 3 System Model and Architecture -- 3.1 Implementation Details -- 4 Case Studies -- 5 Conclusions and Future Work -- References -- Hetero Leach: Leach Protocol with Heterogeneous Energy Constraint -- 1 Introduction -- 2 Routing Algorithm -- 2.1 LEACH -- 2.2 Hetero Leach -- 3 Simulation and Result -- 4 Conclusion -- References -- A Semantic Matchmaking Technique for Cloud Service Discovery and Selection Using Ontology Based on Service-Oriented Architecture -- 1 Introduction -- 2 Service-Oriented Computing -- 2.1 Service-Oriented Architecture -- 3 Proposed Model -- 3.1 Client Request -- 3.2 Cloud Service Discovery -- 3.3 Cloud Service Selection -- 3.4 Cloud Ontology Triple Store -- 4 Proposed Matchmaking Technique -- 5 Conclusion and Future Work -- References -- An Intelligent Approach to Detect Cracks on a Surface in an Image -- 1 Introduction -- 2 Literature Review -- 3 Min-Max Gray Level Discrimination Method -- 4 Proposed Model for Crack Detection -- 5 Conclusion -- References -- A Study of Machine Learning Techniques in Short Term Load Forecasting Using ANN -- 1 Introduction -- 2 ANN in STLF -- 2.1 Multilayer Perceptron Network (MLP) -- 2.2 Learning -- 2.3 Generalization -- 2.4 MLP Organizes in Burden Estimating -- 3 Proposed Work -- 3.1 Back Propagation (BP) by ANN -- 3.2 Fuzzy Logic by ANN. , 3.3 Hereditary Calculation (HC) by ANN -- 3.4 Particle Swarm Optimization (PSO) by ANN -- 4 Conclusion -- References -- A Review for the Development of ANN Based Solar Radiation Estimation Models -- 1 Introduction -- 2 Basics of Artificial Neural Network (ANN) -- 3 ANN for Solar Radiation Estimation -- 4 Review of Global Radiation Estimation Using ANN -- 5 Comparative Study of All the Models -- 6 Identified Research Gap in Solar Radiation Estimation -- 7 Conclusion -- References -- Analysis and Study of Solar Radiation Using Artificial Neural Networks -- 1 Introduction -- 2 ANN Fundamentals -- 2.1 What is ANN? -- 2.2 Nodal Configuration -- 2.3 ANN Types -- 2.4 Learning Stuff -- 3 ANN Working Principle and Architecture -- 3.1 Introduction -- 4 Applications, Advantages, and Disadvantages -- 4.1 Applications -- 4.2 Advantages -- 4.3 Disadvantages -- 5 Methodology -- 5.1 ANN for Predicting Solar Radiation -- 5.2 Data Considered -- 5.3 Operating Stages -- 5.4 Performance -- 6 Comparison Between ANN-Based and Existing Modeling -- 7 Conclusion -- References -- A Scheme to Enhance the Security and Efficiency of MQTT Protocol -- 1 Introduction -- 2 Literature Review -- 2.1 Security Requirements of IoT -- 2.2 Privacy Concerns in IoT -- 2.3 MQ Telemetry Transport (MQTT) -- 2.4 Architecture of MQTT -- 2.5 MQTT Quality of Service -- 2.6 Security Issues with MQTT -- 2.7 Hash Functions and Digital Signatures -- 2.8 Channel Encryption -- 2.9 Summary of Findings -- 2.10 Problem Statement -- 3 Proposed Scheme -- 3.1 Registration Process -- 4 Result and Discussions -- 5 Conclusions -- References -- Software Fault Prediction Using Random Forests -- 1 Introduction -- 1.1 Random Forests (RF) -- 2 Literature Review -- 3 Proposed Methodology -- 3.1 Datasets -- 3.2 Evaluation Criteria -- 4 Implementation and Results -- 5 Conclusion -- References. , A Power Optimization Technique for WSN with the Help of Hybrid Meta-heuristic Algorithm Targeting Fog Networks -- 1 Introduction -- 2 Related Works -- 3 Proposed Solution Methodology -- 3.1 Design Efficient WSN Nodes -- 3.2 Clusterization of the Target Area -- 3.3 Deployment of WSN Nodes Using Spiral Pattern WSN Node Deployment Policy -- 4 Numerical Result Analysis -- 5 Conclusion and Future Work -- References -- A Model for Probabilistic Prediction of Paddy Crop Disease Using Convolutional Neural Network -- 1 Introduction -- 2 Literature Survey -- 3 Paddy Crop Disease Classification -- 3.1 Brown Spot -- 3.2 Bacterial Leaf Blight -- 3.3 Leaf Smut -- 4 Implementation of the Model -- 4.1 Image Generation and Augmentation -- 4.2 Convolution Steps -- 4.3 Pooling Step -- 4.4 Fully Connected Layers -- 4.5 Disease Prediction -- 4.6 Process Flow Model -- 5 Algorithm of the Model -- 6 Experimental Results -- 7 Conclusions and Future Work -- References -- A Hybridized ELM-Elitism-Based Self-Adaptive Multi-Population Jaya Model for Currency Forecasting -- 1 Introduction -- 2 Methodology Adopted -- 2.1 ELM -- 2.2 Jaya -- 3 Dataset Description -- 4 Experimental Analysis -- 4.1 Abstract View of the Proposed Model -- 4.2 Proposed ELM-ESAMPJ Algorithm for Exchange Rate Analysis -- 4.3 Result Analysis -- 5 Discussions -- 6 Conclusion and Future Work -- References -- A Fruit Fly Optimization-Based Extreme Learning Machine for Biomedical Data Classification -- 1 Introduction -- 2 Machine Learning Techniques for Biomedical Data Classification -- 2.1 Extreme Learning Machine (ELM) -- 2.2 Fruit Fly Optimization (FFO) -- 2.3 The Proposed FFO-ELM Models -- 3 Result and Discussion -- 3.1 Data Description -- 3.2 Performance Evaluation -- 3.3 Result Analysis -- 4 Conclusion -- References -- Partial Reconfiguration Feature in Crypto Algorithm for Cloud Application. , 1 Introduction -- 2 Generations of Crypto Core -- 3 State of the Art -- 4 Architecture and Implementation -- 4.1 Low Processing Platform (LP) -- 4.2 Fog -- 4.3 Cloud -- 5 Conclusion -- References -- Proactive Content Caching for Streaming over Information-Centric Network -- 1 Introduction -- 2 System Model -- 3 Proposed Solution -- 3.1 Content Store (CS) -- 3.2 Ant Colony Process -- 4 Experimental Results -- 5 Conclusion -- References -- Performance Analysis of ERWCA-Based FLANN Model for Exchange Rate Forecasting -- 1 Introduction -- 2 Methodology -- 2.1 FLANN Model -- 2.2 Evaporation Rate-Based Water Cycle Algorithm (ERWCA) -- 2.3 FLANN/ERWCA Model -- 3 Simulation Study -- 4 Conclusion -- References -- Multi-document Summarization Using Deep Learning -- 1 Introduction -- 2 Related Work -- 3 Proposed Model -- 4 Experiment and Results Analysis -- 5 Conclusion -- References -- A Convolutional Neural Network Framework for Brain Tumor Classification -- 1 Introduction -- 2 Related Work -- 3 Proposed Model -- 3.1 Input Image -- 3.2 Convolution Layer -- 3.3 Pooling Layer -- 3.4 Fully Connected Layer -- 3.5 Output Layer -- 4 Experimental Setup and Results -- 4.1 Dataset Description -- 4.2 Initial Kernel Weights -- 4.3 Activation Function -- 4.4 Loss Function Computation -- 4.5 Training -- 4.6 Model Parameters -- 4.7 Simulation Results -- 5 Conclusion -- References -- Load Balancing in Cloud Computing Environment Using CloudSim -- 1 Introduction -- 2 Related Work -- 3 Objective of Load Balancing in Cloud Computing -- 4 Necessity of Load Balancing -- 5 Verification of Load Balancing Using Cloud Simulator -- 5.1 Various Features of CloudSim Tool -- 5.2 Primary Elements of CloudSim Tool -- 5.3 Algorithm Utilized in CloudSim Tool for Load Balancing -- 6 Experimental Results -- 7 Conclusion -- References. , Assessment of Load in Cloud Computing Environment Using C-means Clustering Algorithm -- 1 Introduction -- 2 Literature Review -- 3 Proposed Approach -- 3.1 Resource Allocation -- 3.2 Algorithm -- 4 Result Analysis -- 5 Conclusion -- References -- Parallel Implementation of Algebraic Curve for Data Security in Cloud Computing Environment -- 1 Introduction -- 2 Related Work -- 3 Proposed Model -- 3.1 Explicit Addition Formulation -- 4 Implementation -- 4.1 Sequential Implementation Methodology -- 4.2 Parallel Implementation Methodology -- 5 Experimental Results and Analysis -- 5.1 Sequential Implementation of Elliptic Curve Addition -- 5.2 Sequential Implementation of Hyperelliptic Curve Addition -- 5.3 Parallel Implementation of Hyperelliptic Curve Addition -- 6 Performance Comparison of Sequential and Parallel Implementation -- 7 Conclusion -- References -- A Design Towards an Energy-Efficient and Lightweight Data Security Model in Fog Networks -- 1 Introduction -- 2 Related Works -- 3 Background -- 4 Proposed Approach and Related Discussions -- 4.1 Lightweight Authentication Using CA Based Scheme -- 4.2 Lightweight Cryptography Using CA Based Scheme -- 5 Conclusions and Future Work -- References -- Fuzzification-Based Routing Protocol for Wireless Ad Hoc Network -- 1 Introduction -- 2 Related Works -- 3 Proposed Work -- 4 Simulation Analysis -- 5 Conclusion and Future Work -- References -- Fuzzy-Based Strategy Management in Wireless Ad Hoc Network -- 1 Introduction -- 2 Related Works -- 3 Proposed Work -- 4 Simulation Analysis -- 5 Conclusion and Future Work -- References -- A TWV Classifier Ensemble Framework -- 1 Introduction -- 2 Proposed TWV Classifier Ensemble -- 3 Experimental Setup and Result Analysis -- 4 Conclusion -- References -- Recent Advancements in Continuous Authentication Techniques for Mobile-Touchscreen-Based Devices. , 1 Introduction to Continuous Authentication (CA).