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 -- 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.