Note: Intro -- AIVR 2022 Organization -- Preface -- Contents -- About the Editors -- Part I Invited Paper -- 1 Paraconsistency and Paracompleteness in AI: Review Paper -- 1.1 Introduction -- 1.1.1 Classical and Non-classical Logic -- 1.2 Paraconsistent and Paracomplete Logic -- 1.3 AI and Formal Systems -- 1.4 Paraconsistent Annotated Evidential Logic Eτ -- 1.5 Application in Robotics -- 1.5.1 Description of the Prototype -- 1.5.2 Development of the Paraconsistent Annotated Logic Algorithm -- 1.6 Multi-criteria Decision Analysis (MCDA) in Health Care -- 1.7 Conclusions -- References -- Part II Regular Papers -- 2 Decision Support Multi-agent Modeling and Simulation of Aeronautic Marine Oil Spill Response -- 2.1 Introduction -- 2.2 Modeling and Simulation -- 2.2.1 Marine Oil Spill Response Process -- 2.2.2 DEVS and Multi-agent Modeling -- 2.3 Response Plan Evaluation -- 2.3.1 Response Plan Agent -- 2.3.2 Evaluation Indicators System -- 2.4 Instance Analysis -- 2.4.1 Simulation Scenario -- 2.4.2 Simulation-Based Evaluation for Decision Support -- 2.5 Conclusion -- References -- 3 Transferring Dense Object Detection Models To Event-Based Data -- 3.1 Introduction -- 3.1.1 Contributions and Outline -- 3.2 Dataset and Frame Representation -- 3.2.1 KITTI Vision Dataset -- 3.2.2 Optical Event Data and Histograms -- 3.3 Implementation -- 3.3.1 Sparseconvnet Extensions -- 3.3.2 Asynet Extensions -- 3.3.3 Dataloader -- 3.4 Error Analysis -- 3.4.1 Sparse YOLO Versus Dense YOLO -- 3.4.2 Sparse Versus Dense Convolutions -- 3.4.3 Event-Window Size -- 3.5 Runtime Analysis -- 3.5.1 Dense Versus Sparse -- 3.5.2 Batch Size -- 3.5.3 Synchronous Versus Asynchronous -- 3.5.4 Asynchronous Sequence Count -- 3.5.5 Theoretical Runtime -- 3.6 Conclusion -- References. , 4 Diagnosing Parkinson's Disease Based on Voice Recordings: Comparative Study Using Machine Learning Techniques -- 4.1 Introduction -- 4.2 Related Research Work -- 4.2.1 Logistic Regression -- 4.2.2 Random Forest -- 4.2.3 SVM -- 4.2.4 KNN -- 4.2.5 Gradient-boosted Decision Trees -- 4.3 Dataset -- 4.4 Methodology -- 4.5 Results -- 4.6 Conclusion -- References -- 5 Elements of Continuous Reassessment and Uncertainty Self-awareness: A Narrow Implementation for Face and Facial Expression Recognition -- 5.1 Introduction -- 5.2 Proposed Solution -- 5.3 Data Set -- 5.4 Experiments -- 5.4.1 Trusted Accuracy Metrics -- 5.5 Results -- 5.6 Discussion, Conclusions, and Future Work -- References -- 6 Topic-Aware Networks for Answer Selection -- 6.1 Introduction -- 6.2 Related Works -- 6.2.1 Topic Embedding Generation -- 6.2.2 Answer Selection -- 6.3 Methodology -- 6.3.1 Topic Embedding -- 6.3.2 Topic-Aware Networks -- 6.3.3 Triplet Loss -- 6.4 Experiments -- 6.4.1 Dataset -- 6.4.2 Experiment Settings -- 6.4.3 Results and Discussion -- 6.5 Conclusion and Future Work -- References -- 7 Design and Implementation of Multi-scene Immersive Ancient Style Interaction System Based on Unreal Engine Platform -- 7.1 Introduction -- 7.2 Technical Basis -- 7.2.1 Lighting Model -- 7.2.2 From Physical Phenomena to BRDF -- 7.2.3 Physical-based Environment Lighting -- 7.3 Conceive Preparation -- 7.3.1 Research on the Current Situation of UE4 Used for Developing This Work -- 7.3.2 Storyboard -- 7.3.3 Design Process -- 7.4 The Main Scene Building Part -- 7.4.1 The Idea of Building a Scene of the Tang Dynasty -- 7.4.2 Collider -- 7.4.3 Light Effect of Dusk -- 7.4.4 Particle Effects -- 7.5 Functional Design -- 7.5.1 Sequence Animation in Scene -- 7.5.2 Release Kongming Lanterns -- 7.5.3 Large Amounts of Kongming Lanterns Take off -- 7.6 Artwork Display and Rendering Resource Analysis. , 7.6.1 Project Framework Diagram and Interactive Display Screenshots -- 7.6.2 Project Performance Analysis -- 7.6.3 Project Innovation -- 7.7 Conclusion -- 8 Auxiliary Figure Presentation Associated with Sweating on a Viewer's Hand in Order to Reduce VR Sickness -- 8.1 Introduction -- 8.2 Related Work -- 8.3 Experiment to Select Physiological Signal that Correlates with VR Sickness -- 8.3.1 Physiological Signals -- 8.3.2 Experiment Environment and Task -- 8.3.3 Result -- 8.3.4 Analyses and Discussions -- 8.4 Design of Auxiliary Figure Control System -- 8.5 Evaluation Experiment -- 8.5.1 Procedure and Task -- 8.5.2 Results -- 8.5.3 Discussions -- 8.6 Conclusions -- References -- 9 Design and Implementation of Immersive Display Interactive System Based on New Virtual Reality Development Platform -- 9.1 Introduction -- 9.2 System Methodology -- 9.2.1 Demand Analysis -- 9.2.2 Analysis of Our Developing Platform -- 9.2.3 Development Processing -- 9.3 Analysis of Key Technologies -- 9.3.1 Model Construction and Import -- 9.3.2 Real Shading in Unreal Engine 4 -- 9.3.3 Making Interactive Experiences -- 9.4 Conclusion -- References -- 10 360-Degree Virtual Reality Videos in EFL Teaching: Student Experiences -- 10.1 Introduction -- 10.2 Literature Review -- 10.2.1 Different VR Types -- 10.2.2 VR in Higher Education -- 10.2.3 VR Embedded Language Learning -- 10.3 Research Methods -- 10.3.1 Participants -- 10.3.2 Instruments -- 10.3.3 Procedures -- 10.3.4 Data Analysis -- 10.4 Results -- 10.4.1 Results of Two Interview Questions -- 10.5 Discussion -- 10.6 Conclusions -- References -- 11 Medical-Network (Med-Net): A Neural Network for Breast Cancer Segmentation in Ultrasound Image -- 11.1 Introduction -- 11.2 Related Work -- 11.3 Proposed Breast Ultrasound Segmentation Model (Med-Net) -- 11.3.1 Encoder Architecture -- 11.3.2 Attention Module. , 11.3.3 Decoder Architecture -- 11.3.4 Implementation Details -- 11.3.5 Dataset -- 11.4 Discussion -- 11.5 Conclusion -- References -- 12 Auxiliary Squat Training Method Based on Object Tracking -- 12.1 Introduction -- 12.2 Material and Methods -- 12.2.1 The Basic Force Arm of Deep Squat -- 12.2.2 Object Tracking -- 12.2.3 Action Analysis -- 12.3 Results -- 12.3.1 Sagittal Plane Motion Analysis -- 12.3.2 Coronal Plane Motion Analysis -- 12.4 Discussion -- 12.5 Conclusion -- References -- 13 Study on the Visualization Modeling of Aviation Emergency Rescue System Based on Systems Engineering -- 13.1 Introduction -- 13.2 Aviation Emergency Rescue System Architecture Analysis -- 13.2.1 Disaster Prevention and Early Warning Stage -- 13.2.2 Disaster Preparation Stage -- 13.2.3 Emergency Response Stage -- 13.2.4 Recovery and Reconstruction Stage -- 13.3 Aviation Emergency Rescue System Visualization Model -- 13.3.1 Operational Viewpoint DoDAF-Described Models -- 13.3.2 Capability Viewpoint DoDAF-Described Models -- 13.4 Conclusion -- References -- 14 An AI-Based System Offering Automatic DR-Enhanced AR for Indoor Scenes -- 14.1 Introduction -- 14.2 System Overview -- 14.2.1 Object Segmentation Component -- 14.2.2 Layout Estimation Component -- 14.2.3 Inpainting Component -- 14.2.4 Super-Resolution Component -- 14.2.5 Implementation and Orchestration -- 14.3 Experimental Setup Methodology -- 14.3.1 Component Ablation -- 14.3.2 User Study -- 14.4 Results and Discussion -- 14.4.1 Objective Evaluation -- 14.4.2 Subjective Evaluation -- 14.5 Conclusion -- References -- 15 Extending Mirror Therapy into Mixed Reality-Design and Implementation of the Application PhantomAR to Alleviate Phantom Limb Pain in Upper Limb Amputees -- 15.1 Introduction -- 15.2 Methods and Materials -- 15.2.1 Study Setup and Protocol -- 15.3 Gameplay and Technical Implementation. , 15.3.1 Game Design and Interaction Scenes -- 15.3.2 Spatial Mapping -- 15.3.3 Virtual Arm and Non-Anthropomorphic Feedback -- 15.3.4 Virtual Arm Movement -- 15.3.5 Virtual Hand Movement -- 15.3.6 Calibration -- 15.3.7 Interaction with Virtual Environment -- 15.3.8 Remote Connection for Therapeutic Intervention -- 15.4 Results -- 15.5 Discussion -- 15.6 Conclusion -- References -- 16 An Analysis of Trends and Problems of Information Technology Application Research in China's Accounting Field Based on CiteSpace -- 16.1 Questions Posed -- 16.2 Text Mining and Visual Analysis of Research Trends in Information Technology in the Field of Accounting in China -- 16.2.1 Research Tools -- 16.2.2 Source of Data -- 16.2.3 Text Mining and Visual Analysis of Related Research Based on Classification -- 16.3 A Review of Major Issues Discovered by Research and Analysis Regarding the Application of Information Technology in Accounting -- 16.3.1 Few Studies Have Been Conducted on the Application of Information Technology to Accounting in SMEs -- 16.3.2 The Number and Quality of Information-Based Accounting Education Research is Low and Declining -- 16.4 Conclusions and Recommendations of the Research on the Application of Information Technology in Accounting -- 16.4.1 Conclusions of the Research -- 16.4.2 Research Recommendations for Advancing the Application of Information Technology in Accounting -- References -- 17 Augmented Reality Framework and Application for Aviation Emergency Rescue Based on Multi-Agent and Service -- 17.1 Introduction -- 17.2 Framework of Augmented Reality System -- 17.2.1 System Framework -- 17.2.2 Service-Oriented Architecture -- 17.2.3 Multi-Agent Architecture -- 17.3 Construction of Aviation Emergency Rescue Augmented System -- 17.3.1 Construction of System -- 17.3.2 Services Development -- 17.3.3 Entity Development. , 17.4 Simulation of Aviation Emergency Rescue.

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

Note: 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).

Note: Intro -- Preface -- Acknowledgements -- Contents -- About the Editors -- Intelligent Computing -- 1 Global Stability of a Viral Dynamical Model -- Abstract -- 1 Introduction -- 2 Model -- 3 The Existence of Equilibria -- 4 The Global Stability of Equilibria -- Acknowledgements -- References -- 2 Research on Construction of the Software Technology Profession in Vocational Institutes Based on the External Vision -- Abstract -- 1 Introduction -- 2 Professional Construction Ideas Based on the External Vision -- 3 Versatile Teaching Team Construction Based on the Strengths of Teachers -- 4 Social Service Ability Construction Based on Demands of Social Markets -- 5 Construction of School Training Bases Integrated Into Occupation Job Elements and the Construction of the Public Off-Campus Training Bases -- Acknowledgements -- References -- 3 Numerical Study on the Expanded Mixed Covolume Method for One-Dimensional Sobolev Equation -- Abstract -- 1 The Expanded Mixed Covolume Method -- 1.1 The Semi-discrete Scheme -- 1.2 The Fully Discrete Scheme -- 2 Numerical Invariants -- 2.1 A Single Solitary Wave -- 2.2 Interaction of Two Solitary Waves -- References -- 4 Research on the Control Method of Coal Sample Blanking Based on the BP Neural Network and the PID Algorithm -- Abstract -- 1 Introduction -- 2 Control Method of Coal Sample Blanking Based on the BP Neural Network and the PID Algorithm -- 2.1 PID Control Algorithm -- 2.2 BP Neural Network Algorithm -- 3 Experimental Verification -- Acknowledgements -- References -- 5 A Practice on Neural Machine Translation from Indonesian to Chinese -- Abstract -- 1 Introduction -- 2 Related Works -- 3 Lore Translator -- 4 Experiments -- 4.1 Corpus -- 4.2 Training -- 4.3 Experimental Results and Discussion -- 4.4 Demo System -- 5 Conclusion -- Acknowledgements -- References. , 6 Keyword-Based Indonesian Text Summarization -- Abstract -- 1 Introduction -- 2 Related Work -- 2.1 The Development of Automatic Summarization -- 2.2 Existing Systems -- 3 Keyword Contribution Method -- 3.1 Overall Architecture -- 3.2 Algorithm -- 4 Experiment -- 5 Conclusion -- Acknowledgements -- References -- 7 Automatic Decision Support for Public Opinion Governance of Urban Public Events -- Abstract -- 1 Introduction -- 2 Implementation -- 2.1 Data Collection Layer -- 2.2 Information Analysis Layer -- 2.3 Public Opinion Government Layer -- 3 Conclusion -- Acknowledgements -- References -- 8 Improved Local Morphology Fitting Active Contour with Weighted Data Term for Vessel Segmentation -- Abstract -- 1 Introduction -- 2 Related Local Region-Based Models -- 3 Proposed Method -- 4 Results -- 5 Conclusion -- References -- 9 3D Point Cloud Data Splicing Algorithm Based on Feature Corner Model -- Abstract -- 1 Introduction -- 2 3D Point Cloud Data Splicing Algorithm Based on Feature Corner Model -- 2.1 Model Innovation and Data Mining -- 2.2 The Overall Structure of the System -- 2.3 Point Cloud Data Splicing Algorithm -- 3 Conclusion -- Acknowledgements -- References -- 10 A Preliminary Study on Mobile Learning -- Abstract -- 1 The Concept, Characteristics, and Composition of Mobile Learning -- 2 The Feasibility of Mobile Learning -- 2.1 The Characteristics of Mobile Learning -- 2.2 The Inherent Advantages of the Network Environment -- 2.3 The Needs of Professional Construction -- 3 Potential Problems and Solutions in Mobile Learning -- 4 Conclusion -- References -- 11 Design and Implementation of Real-Time Inquiry System of the Stock Market -- Abstract -- 1 Introduction -- 2 Relative Technologies -- 2.1 Hadoop -- 2.2 HBase -- 3 Requirement Analysis and Design -- 3.1 System Function Analysis -- 3.2 Overall Design of the System. , 3.3 Database Design -- 4 Implementation of the Key Modules of the System -- 4.1 The Real-Time Prompt Module of Fuzzy Query of Stock Information -- 4.2 News Information Module -- 4.3 Query Module of Large Quantities of Historical Data -- 5 Conclusion -- Acknowledgements -- References -- 12 An Improved Feature Selection Algorithm for Fault Level Identification -- Abstract -- 1 Introduction -- 2 Basic Concepts of Ordinal Classification -- 3 Feature Selection Algorithm for Ordinal Classification -- 4 Feature Selection and Classification Results -- 5 Conclusions -- Acknowledgements -- References -- 13 Computing Model of Musical Multiple Perception Based on Memory Mapping Perception Inversion -- Abstract -- 1 Introduction -- 2 Fuzzy Perception of Music -- 2.1 Fuzziness of Music -- 2.2 Memory Mapping and Perception Inversion (MMPI) -- 3 Music Intelligence Based on Fuzzy Perception -- 3.1 Musical Feature Index -- 3.2 The Basic Type of Music Perception -- 4 Experimental Results -- 5 Conclusions -- Acknowledgements -- References -- 14 A Natural Immersive Closed-Loop Interaction Method for Human-Robot "Rock-Paper-Scissors" Game -- Abstract -- 1 Introduction -- 2 System Description -- 2.1 The Natural Interaction Implementation -- 2.2 The Real-Time Performance Implementation -- 2.3 The Immersion Mode Implementation -- 3 The Closed-Loop Characteristics -- 4 System Testing and Evaluation -- 5 Conclusion -- References -- 15 Capsule Network-Based Facial Expression Recognition Method for a Humanoid Robot -- Abstract -- 1 Introduction -- 2 Advantages and Properties of the Capsule Net -- 2.1 The Differences -- 2.2 The Properties of the Capsule Net -- 3 CK+ Dataset and NAO Robot Experiments -- 3.1 CK+ Dataset -- 3.2 NAO Robot -- 3.3 Experiments -- 4 Conclusions -- Acknowledgements -- References. , 16 Equipment Maintenance Mode Decision Based on Fuzzy Multi-attribute Decision Method -- Abstract -- 1 Introduction -- 2 Fuzzy Multi-attribute Decision Model -- 3 Fuzzy Multi-attribute Decision Process -- 4 Fuzzy Multi-attribute Decision Method -- 5 Example Analysis -- 6 Conclusion -- References -- 17 A Method for Facial Kinship Verification Based on Deep Learning -- Abstract -- 1 Introduction -- 2 Method -- 2.1 Channel Backbone Network -- 2.2 Multi-channel Model -- 2.2.1 Binary-Channel Model -- 2.2.2 Elastic Multi-channel Model -- 2.3 Training -- 3 Experiments and Results -- 4 Conclusion -- Acknowledgements -- References -- 18 A Domain-Adapting Word Representation Method for Word Clustering -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Frequently Co-occurring Entropy -- 3.2 Fuzzy Bag-of-Words Model -- 4 Experimental Results -- 5 Conclusion -- Acknowledgments -- References -- 19 Fitting Complex Nonlinear Function with Belief Rule Base -- Abstract -- 1 Introduction -- 1.1 The Basic BRB Model -- 1.2 BRB Inference Using ER Approach -- 2 Constructing BRB Model for Nonlinear Function -- 2.1 Nonlinear Function -- 2.2 Transformation Techniques for Quantitative Data -- 3 Parameter Training for BRB -- 4 Experiments Study -- 5 Conclusion -- References -- 20 Approximate Kernel Regression Based on Distributed ADMM Algorithm -- Abstract -- 1 Introduction -- 2 Method -- 2.1 Kernel Regression -- 2.2 ADMM Algorithm -- 2.3 Kernel Regression Based on ADMM Algorithm -- 2.4 Approximate Kernel Matrix -- 3 Experiments -- 4 Conclusion -- Acknowledgements -- References -- 21 Detection for Mixed-Characters Based on Machine Learning -- Abstract -- 1 Introduction -- 2 The Composition of the Detection System -- 3 Character Preprocessing -- 3.1 Binarization -- 3.2 Character Segmentation -- 3.3 The Character Normalization -- 4 Data Set Production. , 5 Neural Network Design -- 6 Experimental Results and Analysis -- 7 Conclusion -- References -- 22 Research on 3D Terminal Rendering Technology Based on Power Equipment Business Features -- Abstract -- 1 Introduction -- 2 3D Model High-Speed Rendering Technology -- 3 3D Model Real-Time High-Speed Rendering Technology for Terminal and Grid Business Application Requirements -- 3.1 Scene Organization -- 3.2 Rendering Process -- 3.3 3D Engine Cross-Platform Technology -- 4 Conclusions -- Acknowledgements -- References -- 23 Community Detection Based on Improved Bee Evolutionary Genetic Algorithm -- Abstract -- 1 Introduction -- 2 Algorithm Structure and Algorithm Description -- 3 Improved Bee Evolutionary Genetic Algorithm -- 3.1 Fitness Function -- 3.2 Encoding -- 3.3 Population Initialization -- 3.4 Crossover Operator -- 3.5 Mutation Operator -- 3.6 Selection Operator -- 3.7 Optimization of Random Population Size -- 4 Simulation and Analysis -- 4.1 Community Detection of the LFR Benchmark Network -- 4.2 Community Detection of the Karate Club Network -- 4.3 Community Detection of the dolphin Network -- 5 Conclusion -- Acknowledgments -- References -- 24 Named Entity Recognition for Chinese Management Case Texts -- Abstract -- 1 Introduction -- 2 Semi-supervised Learning Method -- 2.1 Bootstrapped Framework -- 2.2 BI-LSTM-CRF Model -- 2.3 Evaluating Rule -- 3 Experiment -- 3.1 Dataset -- 3.2 Results and Analysis -- 4 Conclusion and Discussion -- Acknowledgements -- References -- 25 Application of Virtual Simulation Platform in Basic Medical Teaching -- Abstract -- 1 Introduction -- 2 Significance of Basic Medical Virtual Simulation Experimental Platform -- 2.1 Reduce the Cost of Experiment -- 2.2 Provide an Open Experimental Environment -- 2.3 Enhance Classroom Fun -- 3 Construction of Basic Medical Virtual Simulation Platform. , 3.1 Functionality Virtual Simulation Experiment Platform.

Note: Intro -- 4th International Conference on Intelligent and Interactive Systems and Applications (IISA2019) -- Editorial -- Acknowledgements -- Contents -- Intelligent Systems -- Recognition of Voiceprint Using Deep Neural Network Combined with Support Vector Machine -- Abstract -- 1 Introduction -- 2 Methods -- 3 Voiceprint Recognition Based on DBN-SVM -- 3.1 Experimental Procedures and Processes -- 3.2 Corpus Description and MFCC Extraction -- 3.3 DBN Training and Deep Feature Extraction -- 3.4 Experimental Result and Analysis -- 4 Conclusion -- Acknowledgments -- References -- Research on Intelligent Patent Classification Scheme Based on Title Analysis -- Abstract -- 1 Introduction -- 2 Topic-Based Patent Classification Scheme -- 2.1 The Process of Topic-Based Patent Classification Scheme -- 2.2 Results and Discussion -- 3 Title Word-Frequency-Based Patent Classification Scheme -- 3.1 The Process of Title Word-Frequency-based Patent Classification Scheme -- 3.2 Results and Discussion -- 4 Conclusions -- References -- Study on Intelligent Recognition Matching and Fusion Interaction Technology of Electrical Equipment Model -- Abstract -- 1 Introduction -- 1.1 Background -- 1.2 Purpose and Significance -- 1.3 Overseas Research Levels -- 1.4 Domestic Research Levels -- 2 Solutions and Key Technologies -- 2.1 Power Equipment Model Identification -- 2.2 Panoramic Model and Background Real-Time Monitoring Data Fusion Interaction -- 2.3 Physical Device Model Overlay and Virtual Integration -- 2.4 Model Control Interaction -- 3 Conclusion -- Acknowledgments -- References -- Deep Knowledge Tracing Based on Bayesian Neural Network -- Abstract -- 1 Introduction -- 2 Related Works -- 3 BDKT -- 3.1 BDKT Input Data -- 3.2 BDKT Model Structure -- 3.3 BDKT Parameter Learning -- 4 Results and Discussion -- 4.1 BDKT Vs DKT. , 4.2 BDKT Parameter Randomness and Model Uncertainty -- 4.3 Relationship Between the Students' Behaviors -- 5 Conclusion -- Acknowledgment -- References -- Co-simulation of Sub-frame of the Intelligent Fire Truck Based on SolidWorks and ANSYS Workbench -- Abstract -- 1 Introduction -- 2 Main Technical Difficulties -- 2.1 The Connection Problem -- 2.2 Contact Settings -- 2.3 Meshing -- 3 Load Loading -- 4 Simulation Results -- 4.1 Static Simulation Without Impact Force -- 4.2 Static Simulation with Impact Force -- 4.3 Modal Analysis of the Overall Structure -- 5 Conclusion -- Acknowledgments -- References -- Design of Framework on Intelligent Simulation and Test Platform for High Power Microwave Sources -- Abstract -- 1 Introduction -- 2 Requirement Analyses -- 2.1 User Requirements -- 2.2 Functional Requirements -- 2.3 Interface Requirements -- 3 Frame Design -- 3.1 Development Language Selection -- 3.2 Design Model -- 3.3 Design Method -- 3.4 Computing Model -- 4 Technical Support -- Acknowledgments -- References -- Design of Intelligent Meter Life Cycle Management System Based on RFID -- Abstract -- 1 Introduction -- 2 Anti-collision Algorithm Processing of RFID Signal -- 3 Composition of the Life Cycle Management System -- 3.1 Cloud Platform Management System -- 3.2 RFID Intelligent Meter Storage System -- 3.3 RFID Smart Meter On-Site Data Copying System -- 4 Design of RFID Electronic Tag Antenna -- 5 Conclusion -- Acknowledgements -- References -- Design of Single-Phase Intelligent Meter Based on RFID Semi Active Technology -- Abstract -- 1 Introduction -- 2 Overall Design of Smart Meter -- 3 Hardware Design of Smart Meter -- 3.1 CPU Module -- 3.2 Metering Module -- 3.3 Communication Module -- 3.4 Clock and Storage Module -- 4 Software Design -- 4.1 Overall Structure of the Software -- 4.2 RFID Interface Design Based on Three-Tier Architecture. , 5 System Debugging -- 6 Conclusion -- Acknowledgements -- References -- Research on Anti-fall Algorithms of Substation Intelligent Inspection Robot -- Abstract -- 1 Introduction -- 2 Design of Inspection Platform -- 3 Ranging Principle of Binocular Camera -- 4 Application Principle of Anti-falling -- 5 Design and Analysis of Algorithms -- 6 Conclusion -- References -- Research and Application of Process Object Modeling Method Based on Deep Learning -- Abstract -- 1 Introduction -- 2 DNN Deep Learning Algorithms -- 3 Modeling of DNN Deep Learning Network -- 3.1 Open-Loop Modeling Method Based on Multiple Inertial Filters -- 3.2 Closed-Loop Modeling Method Based on Two DNN Models -- 4 Conclusion -- References -- Performance Assessment of Smart Electricity Meters Based on Max Margin Bayesian Classifiers -- Abstract -- 1 Introduction -- 2 Methodology -- 2.1 Feature Selection Based on Genetic Algorithm -- 2.2 Learning Max-Margin Bayesian Classifiers Based on Bagging Ensemble -- 2.3 Selecting Max Margin Bayesian Classifiers Subset Based on Clustering Algorithm -- 3 Experimental Results and Analysis -- 4 Conclusions and Future Works -- References -- Operating Performance Assessment of Smart Meters Based on Bayesian Networks and Convex Evidence Theory -- Abstract -- 1 Introduction -- 2 The Proposed Methodology -- 2.1 Discretization -- 2.2 Training of Bayesian Networks from Historical Data of Smart Electricity Meters -- 2.3 Using the Convex Evidence Theory to Integrate the Assessment Results of Bayesian Networks -- 3 Experimental Results and Analysis -- 4 Conclusions and Future Works -- Acknowledgments -- References -- Research on Object-Oriented Design Defect Detection Method Based on Machine Learning -- Abstract -- 1 Introduction -- 1.1 Motivation -- 1.2 Related Work -- 2 Software Design Defects -- 2.1 Related Concepts -- 2.2 Related Definition. , 3 Design Defect Detection Method -- 3.1 Design Defect Detection -- 3.2 Feature Extraction -- 3.3 Design Defect Classifier Algorithms -- 3.4 Design Defect Detection Algorithms -- 4 Experiment and Evaluation -- 4.1 Experiment -- 4.2 Result Analysis -- Acknowledgments -- References -- Design of Electromagnetic Energy-Saving Intelligent Vehicle -- Abstract -- 1 Introduction -- 2 Principles of Operation -- 3 Test Results -- 4 Conclusion -- Acknowledgments -- References -- New Energy Vehicle Reliability Research by Large Data -- Abstract -- 1 Introduction -- 2 Reliability Analysis Theory -- 3 Acquisition of Automobile Fault Data -- 4 Calculation of Equivalent Fault Number Change Curve of Automobile in Different Mileage Ranges -- 4.1 Establishing the Curve of Vehicle Type Changing with the Number of Mileage Faults -- 4.2 Classification of Fault Hazard Degree -- 4.3 Calculation of Equivalent Fault Number Change Curve of Automobile in Different Mileage Ranges -- 5 Calculation of Reliability Evaluation Index of Vehicle Type -- 6 Establishment of Comprehensive Evaluation Model of Vehicle Type Reliability -- 7 Conclusion -- References -- One-Step Prediction for GM(1,1) with a Sliding Data Window -- Abstract -- 1 Introduction -- 2 The GM(1,1) Model -- 3 Introducing the Sliding Data Window to GM(1,1) -- 4 The Requirements of Data Samples for GM(1,1) -- 5 Experimental Results -- 6 Conclusions -- Acknowledgement -- References -- Evaluation on Well-Canal Combined Irrigation Modes for Cotton Fields in the South of Xinjiang, China Based on an Algorithm of Fuzzy Neutral Network -- Abstract -- 1 Background -- 2 Flow and Steps of the Algorithm -- 2.1 Flow of Algorithm for Fuzzy Neural Network -- 2.2 Steps of the Algorithm -- 3 Mathematical Principles of the Algorithm -- 3.1 Principles of Fuzzy Mathematics and FNN -- 3.2 Fuzzy Function and FNN -- 4 Empirical Analysis. , 4.1 Prediction Image of Training Data Based on FNN Algorithm -- 4.2 Results -- 5 Conclusions -- Acknowledgements -- References -- Grape Downy Mildew On-line Detection Based on Accurate Image Processing Method Preformed on Embedded Ambient Intelligence System -- Abstract -- 1 Introduction -- 2 Intelligent Image Processing -- 2.1 Holistic Methods Organization Chart -- 2.2 Image Processing -- 2.3 Decrease of Disturbance of Leaf Vein -- 3 System Design -- 4 GDM Diagnose, Grading and Preventive Measures -- 5 Conclusion -- Acknowledgments -- References -- An Improved Bisecting K-Means Text Clustering Method -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Data Processing -- 3.1 Corpus Acquisition -- 3.2 Data Extraction Using Word2Vec -- 3.3 Using TF-IDF to Select Feature Word Vector -- 4 The Improved Bisecting K-Means Text Clustering Method -- 4.1 Bisecting K-Means Clustering -- 4.2 Improved Bisecting K-Means Algorithm -- 5 Experimental Results Analysis -- 5.1 Experimental Process -- 5.2 Experimental Results -- 6 Conclusion -- Acknowledgements -- References -- PLC-Based Control System Design of Intelligent and Efficient Multiple Parking Device -- Abstract -- 1 Introduction -- 2 Structure and Principle of Intelligent and High Efficiency Multiple Parking Device -- 3 Design of Control System -- 4 Design of System Hardware -- 5 Design of System Software -- 5.1 The Initialization of System -- 5.2 The Procedure of Storage Car -- 5.3 The Rotation of Motor -- 6 Conclusion -- Acknowledgement -- References -- Sparse Acceleration Algorithm Based on Likelihood Upper Bound -- Abstract -- 1 Introduction -- 2 Acceleration Based on Likelihood Upper Bound Filtering -- 2.1 Sparse Expression Target Tracking -- 2.2 Observation Likelihood Upper Bound -- 2.3 Bounded Particle Resampling -- 3 Experimental Results and Analysis -- 3.1 Experimental Data and Algorithm Description. , 3.2 Evaluation Criteria.

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 -- Preface -- Acknowledgements -- Contents -- Autonomous Systems -- Prediction of Rolling Force Based on a Fusion of Extreme Learning Machine and Self Learning Model of Rolling Force -- Abstract -- 1 Introduction -- 2 ELM Algorithm -- 3 Rolling Force Mathematical Model -- 4 Rolling Force Model Self Learning of Finishing Mill -- 5 Forecasting Experiment and Result Based on Rolling Force of ELM -- 6 Conclusion -- References -- User Behavior Profiles Establishment in Electric Power Industry -- Abstract -- 1 Introduction -- 2 Related Work -- 3 User Label System of Electric Power Industry -- 3.1 Behavior Label -- 3.2 Behavior Description Label -- 3.3 Behavior Prediction and User Classification Label -- 4 Label Generation Technique -- 4.1 Label Generation Technique Based on Clustering Algorithm -- 5 Experiment and Analysis -- 5.1 Generate the Behavior Label -- 5.2 Generate the Behavior Description Label -- 5.3 Generate the Behavior Prediction Label and User Classification Label -- 6 Conclusion -- References -- The Optimal Pan for Baking Brownie -- Abstract -- 1 Introduction -- 2 The Distribution of Heat for Pan -- 2.1 Finite Element Analysis -- 2.2 Edge Cutting Model -- 3 Conclusion -- Acknowledgements -- References -- Intelligent Steering Control Based the Mathematical Motion Models of Collision Avoidance for Fishing Vessel -- Abstract -- 1 Introduction -- 2 Intelligent Steering Control Based the Mathematical Motion Models of Collision Avoidance for Fishing Vessel -- 2.1 Merchant Ship Maneuvering Motion Equation -- 2.2 Merchant Ship Intelligent Steering Control -- 2.3 Acquisition of Collision Avoidance Elements -- 3 Application -- 3.1 Simulation Object and Conditions Setting -- 3.2 Simulation Results and Analysis -- 4 Conclusion -- Acknowledgements -- References -- Dynamical Analysis of Fractional-Order Hyper-chaotic System -- Abstract. , 1 Introduction -- 2 Related Work -- 2.1 Fractional-Order Hyper-chaotic Complex System -- 2.2 Dynamic Behavior Analysis of the System -- 2.2.1 System Equilibrium Point -- 2.2.2 The Influence of System Order Variation on the System -- 2.2.3 The Influence of System Parameter Change on the System -- 3 Conclusion -- References -- Evaluating the Performance of the Logistics Parks: A State-of-the-Art Review -- Abstract -- 1 Introduction -- 2 Review on the Evaluation Index System -- 2.1 Establishment of the Evaluation Index System -- 2.2 Discussion on the Evaluation Index System -- 3 Review on the Evaluation Models -- 3.1 Analysis on the Evaluation Models -- 3.2 Discussion on the Evaluation Models -- 4 Conclusions -- Acknowledgements -- References -- A Tabu Search Algorithm for Loading Containers on Double-Stack Cars -- Abstract -- 1 Introduction -- 2 Problem Description -- 2.1 Background Information -- 2.2 Optimization Strategy -- 3 Tabu Search Algorithm for the Container Loading Problem -- 3.1 Introduction to the Algorithm -- 3.2 Tabu Search Algorithm Design -- 4 Numerical Cases -- 5 Conclusions -- Acknowledgements -- References -- Optimization Model Under Grouping Batch for Prefabricated Components Production Cost -- Abstract -- 1 Introduction -- 2 Problem Description and Variables Defining -- 2.1 Problem Description -- 2.2 Variables Defining -- 3 Model Establishing -- 4 Application Instance and Comparative Analysis -- 4.1 Application Instance -- 4.2 Comparative Analysis -- 5 Conclusion -- Acknowledgements -- References -- Air Quality Evaluation System Based on Stacked Auto-Encoder -- Abstract -- 1 Introduction -- 2 The Methods -- 2.1 Introduction to Traditional Method -- 2.2 AQES-SAE System -- 3 The Experiments -- 3.1 Classification with Improved K-means Algorithm -- 3.2 Identification with the SAE Model -- 4 The Results -- 4.1 Clustering Analysis. , 4.2 Superiority of the AQES-SAE System -- 5 Summary -- References -- Pattern Recognition and Vision Systems -- Urban-Rural Difference of the Coupling Between Social-Economic Development and Landscape Pattern in Chengdu Plain -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 2.1 Study Area and Data Source -- 2.2 Coupling Model -- 3 Results -- 3.1 Urban-Rural Differences in Landscape Pattern -- 3.2 Urban-Rural Coupling Differences Between the Landscape Pattern and the Social-economic Development -- Acknowledgments -- References -- A New Model and Algorithm for Clustering -- Abstract -- 1 Introduction -- 2 Related Work -- 2.1 New Model of Clustering -- 2.2 Compact Homogenizing of Class -- 2.2.1 The Establishment of Similar Graph Matrix -- 2.2.2 The Establishment of Compact Homogenizing Between Class -- 2.3 Size Similarity Between Class -- 2.4 Cluster Model -- 3 Algorithm -- References -- Gibbs Phenomenon for Bi-orthogonal Wavelets -- Abstract -- 1 Introduction -- 2 Preliminaries -- 3 Gibbs Phenomenon of Biorthogonal Wavelet Expansion -- 4 Conclusion -- Acknowledgments -- References -- {{\varvec \upalpha}} -Convergence Theory -- Abstract -- 1 Introduction -- 2 {{\varvec \upalpha}} -Adherence Dots and {{\varvec \upalpha}} -Accumulation Dots -- 3 {{\varvec \upalpha}} -Convergence of Nets -- 4 {{\varvec \upalpha}} -Convergence of Ideals -- 5 {{\varvec \upalpha}} -Convergence of Filters -- 6 Relations Among Nets, Ideals, Filters -- 7 Applications of {{\varvec \upalpha}} -Convergence Theory of Nets -- References -- Feature Selection Optimization Based on Atomic Set and Genetic Algorithm in Software Product Line -- Abstract -- 1 Introduction -- 2 Basic Concept -- 2.1 Feature Models -- 2.2 Atomic Sets -- 3 Atomic Sets Computation -- 4 Genetic Algorithm for Feature Selection Optimization -- 4.1 Initial Population -- 4.2 Fitness Function. , 4.3 Crossover Operation -- 4.4 Selection Operation -- 4.5 Mutation Operation -- 4.6 The Flow Diagram of Genetic Algorithm -- 5 Experiment and Analysis -- 5.1 Test Model -- 5.2 Experiment Result and Analysis -- 5.2.1 The Simulation Results of Atomic Set -- 5.2.2 The Simulation Results of Genetic Algorithm -- 6 Related Work -- 7 Conclusion -- Acknowledgments -- References -- Product Configuration based on Feature Model -- Abstract -- 1 Introduction -- 2 Configuration Architecture Model -- 3 Feature Modeling -- 3.1 Feature Diagram -- 3.1.1 Basic Feature Diagram -- 3.1.2 Cardinality-Based Feature Diagram -- 3.2 Constraints -- 3.2.1 Boolean Constraints -- 3.2.2 Non-Boolean Constraints -- 4 Automated Support -- 4.1 SAT -- 4.2 BDD -- 4.3 CSP -- 5 Feature Selection -- 5.1 Non-collaborative Configuration -- 5.2 Collaborative Configuration -- 6 Conclusion -- Acknowledgments -- References -- Research on Fast Browsing for Massive Image -- Abstract -- 1 Introduction -- 2 Distributed Computing and Image Pyramid -- 2.1 Distributed Computing -- 2.2 MapReduce -- 2.3 Image Pyramid -- 3 MapReduce Model for Massive Image -- 3.1 Data Blocking Prepared for MapReduce -- 3.2 MapReduce Image Model -- 4 Experiment -- 4.1 Experimental Data and Equipment -- 4.2 Experimental Result -- Acknowledgments -- References -- RVM for Recognition of QRS Complexes in Electrocardiogram -- Abstract -- 1 Introduction -- 2 RVM Classifier -- 3 QRS Detection -- 4 Implementation and Performance Evaluation -- 5 Conclusions -- Acknowledgments -- The Architecture of the RFID-Based Intelligent Parking System -- Abstract -- 1 Introduction -- 2 The Research Status of the Intelligent Parking System -- 3 The Overall Configuration of the System -- 3.1 The Basic Flow of the Intelligent Parking System -- 3.1.1 The Parking Process of the Vehicle with Legal e-tag. , 3.1.2 The Parking Process of the Vehicle Without Legal e-tag -- 3.1.3 The Parking Process of the Vehicle Without Enough Electronic Balance -- 3.2 The Design of the Intelligent Parking Management System -- 3.3 The Basic Requirements for the Intelligent Parking System -- 4 Summary -- References -- A Review of Cognitive Psychology Applied in Robotics -- Abstract -- 1 Introduction -- 2 Robot Affective Computing and Interaction -- 2.1 Emotion Recognition -- 2.2 Affective Modeling -- 2.3 Emotion Expression -- 3 Application of Robot Cognition -- 3.1 Robot Autism Intervention -- 3.2 Robot Education -- 3.3 Household and Nursing Robot -- 4 Conclusion and Prospect -- Acknowledgments -- References -- Robot Vision Navigation Based on Improved ORB Algorithm -- Abstract -- 1 Introduction -- 2 Improved ORB Algorithm -- 2.1 Extreme Points in Scale Space Detection -- 2.2 Extract Stable Feature Points -- 3 Visual Navigation Method -- 4 Experimental Results -- 5 Conclusion -- References -- An Improved Multi-label Relief Feature Selection Algorithm for Unbalanced Datasets -- Abstract -- 1 Introduction -- 2 ReliefF Algorithm -- 3 UBML-ReliefF Algorithm -- 4 Experiment -- 4.1 Datasets -- 4.2 Performance Evaluation Index -- 4.3 Experiment and Results Analysis -- 5 Conclusion -- Acknowledgements -- References -- Area Topic Model -- Abstract -- 1 Introduction -- 2 Related Works -- 3 Area-LDA Topic Model -- 3.1 Overall Design of Area-LDA -- 3.2 Process of Estimator -- 4 Experiments -- 4.1 Dataset -- 4.2 Experiment Settings -- 4.3 Experimental Restuls -- 5 Conclusions -- References -- Predicting Popularity of Topic Based on Similarity Relation and Co-occurrence Relation -- Abstract -- 1 Introduction -- 2 The SCW Method for Prediction of Topic Popularity -- 2.1 Definition -- 2.2 The Description of Topic Popularity -- 2.3 The Analysis of Similarity Relation. , 2.4 The Analysis of Co-occurrence Relation.

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.