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

Anmerkung: Intro -- ICAIT-2019 Organization -- ICAIT2019 International Advisory Board and Program Committee -- Preface -- Contents -- About the Editors -- Part IInvited Papers -- 1 Vegetable Distribution System Using Machine Learning Approach -- 1.1 Introduction -- 1.2 Current Technologies -- 1.2.1 Fujitsu Akisai -- 1.2.2 Toshiba FoodCaster Ex -- 1.2.3 NEC "IT-Aided Mikan Production" -- 1.3 Proposed Approach -- 1.4 Conclusion -- References -- 2 A Purpose of a Smart Vegetable Garden Model Based on Paraconsistent Annotated Evidential Logic Eτ -- 2.1 Introduction -- 2.2 Smart Garden -- 2.3 Paraconsistent Logic -- 2.4 Paraconsistent Annotated Evidential Logic Eτ -- 2.5 Algorithm Para-analyzer -- 2.6 Proposing the Model -- 2.7 Conclusion -- References -- 3 Paraconsistent Artificial Neural Network Applied to Agribusiness -- 3.1 Introduction -- 3.2 Soybean -- 3.3 Methodology -- 3.4 Paraconsistent Artificial Neural Network -- 3.5 Applications in Agribusiness -- 3.6 Results and Discussion -- References -- Part IIRegular Papers -- 4 Research and Design on an Automatic Control System Using in Antarctic Greenhouse -- 4.1 Introduction -- 4.2 Designing Architecture of Greenhouse Automatic Control System -- 4.3 Control Scheme -- 4.3.1 Greenhouse Environmental Data Collection -- 4.3.2 Ambient Temperature Control Based on Fuzzy Logic -- 4.3.3 Light Control -- 4.3.4 Water and Fertilizer Control -- 4.4 System Implementation and Application -- 4.5 Conclusion -- References -- 6 Correlation Research on the Structure of the Apple Tree Vigor and Its Fruit Quality -- 6.1 Introduction -- 6.2 Materials and Experiments -- 6.3 Results and Analysis -- 6.3.1 Correlation Between Indicators of Crown Diameter, Crown Height, Trunk Girth, and Hardness of the Fruit -- 6.3.2 Correlation Research Between the Trunk Girth and the Soluble Sugar. , 6.3.3 Correlation Research Between the Structure of Tree Vigor and Soluble Solids -- 6.4 Conclusions -- References -- 7 Real-Time Data Transmission Design of Unmanned Aerial Vehicle Gamma Spectrometer -- 7.1 Introduction -- 7.2 Data Transmission Overall Structure Design -- 7.2.1 Time Base -- 7.2.2 Digital Multi-channel Data Transmission -- 7.2.3 IPC Program Data Processing -- 7.2.4 Data Transmission Between Drones and Ground Control Platforms -- 7.2.5 Ground Control Platform Data Transmission -- 7.3 System Test -- 7.4 Conclusion -- References -- 8 0.8 GHz Low-Noise Amplifier Design -- 8.1 Introduction -- 8.2 Low-Noise Amplifier Design Flow -- 8.3 Research and Design of Matching Networks -- 8.3.1 Selection of Impedance Points -- 8.3.2 Matching Network Design -- 8.3.3 LNA Production Debugging and Analysis -- 8.3.4 Circuit Debugging and Analysis -- 8.4 Conclusions -- References -- 9 Optimization Analysis of Laying Length of Thin-Wall Micro-Spray Belt Under Different Slope Conditions -- 9.1 Introduction -- 9.2 Analysis on Allowable Laying Length of Micro-Spray Belt -- 9.2.1 Allowable Head Deviation in Lateral Pipe -- 9.2.2 The Formula of the Head Loss Along the Micro-Spray Belt -- 9.2.3 Pressure of Micro-Spray Belt at Any Point Under Different Slopes -- 9.3 Relative Pressure at Any Point Under Different Slopes -- 9.4 The Maximum Laying Length Under Different Slopes -- 9.4.1 Determination of the Laying Length of Micro-Spray Belt During Flat Slope -- 9.4.2 Determination of Laying Length of Micro-Spray Belt in Adverse Slope -- 9.4.3 Determination of Laying Length of Micro-Spray Belt in Down Slope -- 9.5 Laying Length Analysis -- 9.5.1 Calculation of Head Deviation and Deviation Rate -- 9.5.2 Calculation of Laying Length for Different Slope -- 9.6 Conclusions -- References -- 10 L-Band Ultra-Wideband Low-Noise Amplifier Design -- 10.1 Introduction. , 10.2 Parallel Negative Feedback Amplifier Circuit Analysis -- 10.3 L-Band Ultra-Wideband Low-Noise Plifier Design -- 10.3.1 The Role of VSWR Circles in Matching Networks -- 10.3.2 Single-Supply Bias Circuit Design -- 10.3.3 Negative Feedback Structure Optimization Simulation -- 10.3.4 Design Matching Network Based on Equal VSWR Circle -- 10.4 Circuit Testing and Analysis -- 10.5 Conclusions -- References -- 11 Research on Pipe Surface Defect Recognition Based on Convolutional Neural Network -- 11.1 Introduction -- 11.2 The Classification of Pipe Surface Defect -- 11.3 Design of Pipeline Surface Defect Identification Model -- 11.3.1 The Structure of GoogLeNet Model -- 11.3.2 Improved GoogLeNet Network Structure -- 11.4 Tests and Results -- 11.5 Conclusion -- References -- 12 Research on the Method of Tea Disease Recognition Based on Deep Learning -- 12.1 Introduction -- 12.2 Making Tea Disease Data Set -- 12.2.1 Sample Collection of Tea Diseases -- 12.2.2 Expansion of Tea Disease Samples -- 12.2.3 Production of Tea Disease Data Set -- 12.3 Performance Optimization of Tea Disease Classification and Recognition Model Based on Transfer Learning -- 12.3.1 Merge BN Layer to Convolution Layer -- 12.3.2 L2 Regularization -- 12.4 Pre-training and Transfer Training -- 12.5 Experimental Tests and Results -- References -- 13 A Research on Tea Traceability Consensus Mechanism Based on Blockchain Technology -- 13.1 Introduction -- 13.2 Problems in Traceability of Tea Application -- 13.2.1 Production and Circulation Model of Tea Industry Chain -- 13.2.2 Application of Blockchain Technology in Tea Traceability -- 13.3 Optimization of the Consensus Mechanism in a Tea Traceability System -- 13.3.1 Analysis of Consensus Flow of dBFT Algorithm -- 13.3.2 Improvement of C-dBFT Consensus Mechanism Based on Credit Rewards and Punishments. , 13.3.3 Credit Reward and Punishment Mechanism -- 13.3.4 Hierarchical Analysis for Selecting Consensus Nodes -- 13.4 Experiments and Analysis -- 13.4.1 Modeling Experiment -- 13.4.2 Verification of Results and Conclusion -- References -- 14 The Research on the Judgment Method for Porcine Abnormal Diet Based on Improved PSO-SVDD -- 14.1 Introduction -- 14.2 The Judgment of Porcine Abnormal Diet Based on SVDD -- 14.3 The Parameter Optimization of SVDD Based on PSO -- 14.4 Experimental Results and Analysis -- 14.4.1 The Comparison Results of Decision Function Before and After Improvement -- 14.4.2 The Judgment Results for Porcine Abnormal Diet Data Based on Improved PSO-SVDD -- 14.5 Conclusions -- References -- 15 The Design of Two-Channel Outputs Switching Mode Power Supply Based on TOP100Y -- 15.1 Introduction -- 15.2 Scheme Selection -- 15.2.1 Basic Regulator Regulating Circuit -- 15.2.2 Circuit TOP Power Supply -- 15.3 System Structure and Working Mode -- 15.4 Transformer Design -- 15.5 Experimental Results and Analysis -- References -- 16 Design of Data Acquisition System for ASA Test -- 16.1 Basic Ideas -- 16.2 Design Scheme -- 16.2.1 The Hardware Design -- 16.2.2 Software Design -- 16.3 Verification and Analysis of VI Curve Acquisition -- 16.3.1 ASA Testing of Typical Components -- 16.3.2 ASA Test of Analog Circuit -- 16.4 Conclusion -- References -- 17 Raman Perception Monitoring Application of IoT Technology in Agricultural Planting -- 17.1 Introduction -- 17.1.1 Characteristics of Raman Spectrometer -- 17.1.2 Application and Advantages of Raman Spectrometer in Agricultural IoT -- 17.2 Implementation Case -- 17.2.1 RamanPerception Monitoring IoT System Design -- 17.2.2 Establish an Integrated Agricultural Management System and APP -- 17.3 Development and Prospects -- References. , 18 Visible and Infrared Image Fusion Based on Masked Online Convolutional Dictionary Learning with Frequency Domain Computation -- 18.1 Introduction -- 18.2 Proposed Fusion Framework -- 18.2.1 Masked Online Convolutional Dictionary Learning Using Frequency Domain Computation -- 18.2.2 Fusion Method -- 18.3 Experiment and Discussion -- 18.4 Conclusion -- References -- 20 Intelligent Greenhouse Information Collection and Control System Based on Internet of Things -- 20.1 Introduction -- 20.2 System Design -- 20.2.1 System Objective -- 20.2.2 General System Architecture -- 20.3 System Implementation -- 20.3.1 System Hardware Implementation -- 20.3.2 Software Design of the System Lower Computer -- 20.3.3 Key Code Implementation -- 20.4 System Highlights-Remote Control -- 20.5 Conclusion -- References -- 21 Design and Key Technology Research of Civil-Military Integration Regulations and Standards Management System -- 21.1 Introduction -- 21.2 Overall Design -- 21.2.1 Functional Requirement -- 21.2.2 System Framework -- 21.2.3 Presentation Layer Design -- 21.2.4 Functional Design -- 21.2.5 Data Layer Design -- 21.3 Key Technology Research -- 21.3.1 Support Process Consolidation and Splitting -- 21.3.2 Support Document Version Control -- 21.3.3 Support Process Page Customization -- 21.4 Conclusion -- References -- 22 A Reliable Wireless Monitor and Control System with Low Power for Greenhouse Microclimate -- 22.1 Introduction -- 22.2 Realization Principles -- 22.3 Wireless Monitoring and Control System for Greenhouse Microclimate -- 22.4 Experiments -- 22.4.1 Experimental Scheme -- 22.4.2 Results and Analysis -- 22.5 Conclusions -- References -- 23 Prediction of Excessive Cadmium in Rice Based on Weighted Bayesian Fusion Model -- 23.1 Introduction -- 23.2 Related Work -- 23.3 Proposed Method -- 23.3.1 Bayes -- 23.3.2 Naive Bayes. , 23.3.3 Weighted Naive Bayesian Fusion Model.

Anmerkung: Intro -- International Program Committee -- Honorary Chair -- General Chairs -- Organizing Chair -- International Advisory Chair -- Founder of IRNet China -- Co-founder of IRNet China -- TPC Members -- Sponsors -- Preface -- Contents -- About the Editors -- 1 3D-DIC Technique for Strain Measurement in FRP Strip Externally Bonded to Concrete Specimens -- 1.1 Introduction -- 1.2 Basic Principle and Advantages of 3D-DIC System -- 1.2.1 Basic Principle and Test Setup of 3D-DIC System -- 1.2.2 Advantages -- 1.3 Operation Process of 3D-DIC -- 1.3.1 Speckle Marking -- 1.3.2 Operation Process -- 1.4 Specimens and Materials -- 1.5 Results and Analysis -- 1.5.1 Strain Distribution of FRP Strips -- 1.5.2 Bond-Slip Relation -- 1.6 Conclusions -- References -- 2 Establishment of Quality Detection and 3D Evaluation Model of Wool Fabric Based on Machine Vision -- 2.1 Introduction -- 2.2 Fluffy Surface Quality Measurement Principle -- 2.2.1 Measurement System Principle Introduction -- 2.2.2 Thickness Measurement Principle -- 2.3 Extraction of the Upper Edge of the Fluff and the Baseline -- 2.4 Villus Surface Quality Estimation Parameter Model -- 2.4.1 Selection of Parameter Model -- 2.5 Test -- 2.5.1 Test Platform -- 2.5.2 Test Data Analysis -- 2.6 Conclusion -- References -- 3 The Research and Design of Wage Supervision Service Platform for Migrant Workers Based on Big Data and Iris Recognition Technology -- 3.1 Background Introduction -- 3.2 Technology Introduction -- 3.2.1 Big Data Technology -- 3.2.2 Iris Recognition Technology -- 3.3 Functional Demand Analysis of Wage Supervision Platform -- 3.4 Logical Architecture Design of Wage Supervision Platform -- 3.5 Network Topology Structure Design of Wage Supervision Platform -- 3.6 Conclusion -- References -- 4 Research on Block Segmentation and Assembly Technology of 3D Printing Structure -- 4.1 Introduction. , 4.2 3D Printing Technology -- 4.2.1 Introduction to Three Technologies Commonly Used in 3D Printing -- 4.2.2 Four Common Data Formats for 3D Printing -- 4.2.3 Basic Requirements for 3D Printing STL Data Format -- 4.3 Block Segmentation and Assembly Technology of 3D Printing Component -- 4.3.1 Block Segmentation and Assembly Process of 3D Printing Component -- 4.3.2 Selection of 3D Printing Sub-block Direction and Position -- 4.4 Printing Cases -- 4.5 Conclusion -- References -- 5 A Study on 3D Reconstruction Method for Common View Field in Hybrid Vision System -- 5.1 Introduction -- 5.2 Hybrid Vision System -- 5.2.1 Introduction of Hybrid Vision System Model -- 5.2.2 The Imaging Principle of RGB-D Camera -- 5.2.3 The Imaging Principle of Panoramic Camera -- 5.3 The Feature Points 3D Reconstruction -- 5.3.1 SURF Feature Extraction -- 5.3.2 SURF Feature Matching -- 5.3.3 3D Reconstruction of Feature Points -- 5.4 Results -- 5.4.1 Feature Matching Point 3D Reconstruction -- 5.4.2 Discussion -- 5.5 Conclusion -- References -- 6 Three-Dimensional Characteristics Observation of Ocean Waves in Coastal Areas by Microwave Doppler Radar -- 6.1 Introduction -- 6.2 3D Spectrum Pre-processing -- 6.3 Radar Data -- 6.4 3D Characteristics of Ocean Wave -- 6.5 Conclusion -- References -- 7 Three-Dimensional Reconstruction Based on Left Right Objects -- 7.1 Research Background and Significance -- 7.2 Technical Route -- 7.2.1 Offline Calibration -- 7.2.2 Stereo Correspond -- 7.3 Results and Analysis -- 7.4 Conclusion -- References -- 8 Research on 3D Scene Dynamic Scanning Modeling Technology of Substation Based on Depth Vision -- 8.1 Introduction -- 8.2 Deep Visual 3D Scanning Modeling Algorithm for Indoor and Outdoor Environments of Substation Operations -- 8.2.1 Semi-dense SLAM Based on RGB-D in Complex Indoor Working Environment. , 8.2.2 Sparse SLAM Based on Binocular Camera in Complex Outdoor Working Environment -- 8.3 Hybrid Hierarchical Scanning Modeling for Large-Scale Scenes -- 8.4 Regional Learning and Substation Environment Understanding Under Scene Point Cloud -- 8.4.1 Point Cloud Pretreatment -- 8.4.2 Point Cloud Clustering -- 8.5 Conclusions -- References -- 9 Fusion and Localization Technology of 3D Model Attitude and Real Physical Environment Visualization Information of Power Inspection Site -- 9.1 Introduction -- 9.2 Binocular Posture and Visual Information Fusion Positioning Technology -- 9.3 Conclusions -- References -- 10 The Research and Design of Big Data Monitoring Platform for Enterprise Growth -- 10.1 Background Introduction -- 10.2 Introduction to Big Data Technology -- 10.3 Functional Demand Analysis -- 10.4 System Development and Design -- 10.4.1 Overall Architecture Design -- 10.4.2 System Functional Architecture Design -- 10.4.3 Network Topology Structure Design -- 10.5 Conclusion -- References -- 11 Application Analysis of Big Data in Library Management and Service -- 11.1 Introduction -- 11.2 Big Data Technology Overview -- 11.3 Analysis of Library Management Service Problems -- 11.3.1 Computational Ability Is Weak -- 11.3.2 Lack of Optimization of Network Resources -- 11.4 The Advantages of Big Data in Library Management and Services -- 11.4.1 Improve the Efficiency of Collection and Integration of Books and Resources -- 11.4.2 Optimize Library Service Projects -- 11.4.3 Promote Resource Sharing and Form a Library Sharing System -- 11.5 The Difficulties and Solutions of Big Data Applied to Libraries -- 11.5.1 The Library Big Data System Is not Perfect -- 11.5.2 Lack of Skills in Librarians -- 11.5.3 Management Mode Is Old Curing -- 11.6 The Conclusion -- References. , 12 Application of Virtual Reality Technology in the Teaching of 3D Animation Course -- 12.1 Virtual Reality Technology -- 12.2 Integration of Virtual Reality Technology and 3D Animation Technology -- 12.3 The Importance of Virtual Reality Technology to the Teaching of 3D Animation Courses -- 12.3.1 Innovation in Teaching Ideas -- 12.3.2 Abundance of Teaching Methods -- 12.3.3 Motivate Learners to Learn Independently -- 12.3.4 Implementation of Interactive Learning -- 12.4 The Importance of Virtual Reality Technology to the Teaching of 3D Animation Courses -- 12.4.1 Teaching of 3D Animation Course Theory -- 12.4.2 Teaching of 3D Animation Course Practice -- 12.5 Conclusion -- References -- 13 Study on Properties of Polymer Materials Based on 3D Printing Technology -- 13.1 Introduction -- 13.2 Experimental Methods -- 13.2.1 3D Printing Specimen -- 13.2.2 Tensile Test -- 13.3 Results and Discussions -- 13.4 Conclusion -- References -- 14 Improved SSD-Based Multi-scale Pedestrian Detection Algorithm -- 14.1 Introduction -- 14.2 Improved SSD Pedestrian Detection Model -- 14.2.1 Introduction of Context Information -- 14.2.2 SSD Improvement Layer Network Structure Design -- 14.3 Model Training and Analysis of Experimental Results -- 14.3.1 Data Preprocessing and Parameter Setting -- 14.3.2 Performance Evaluation Index -- 14.3.3 Experimental Results -- 14.4 Conclusion -- References -- 15 Activity Recognition System Optimisation Using Triaxial Accelerometers -- 15.1 Introduction -- 15.2 Related Works -- 15.3 Data Description -- 15.4 Results and Analysis -- 15.5 Conclusion -- References -- 16 Near-Duplicate Video Detection Based on Temporal and Spatial Key Points -- 16.1 Introduction -- 16.2 The Classic Key Frame Extraction and Video Shot Segmentation Technology -- 16.2.1 Video-Shot-Based Method -- 16.2.2 Visual-Feature-Based Method. , 16.2.3 Cluster-Based Method -- 16.3 Temporal and Visual Feature Extraction -- 16.3.1 Video Segmentation -- 16.3.2 Video Segment Feature Extraction -- 16.3.3 Video Segment Matching -- 16.4 Two Classification Methods -- 16.4.1 Similar Detection for Given Samples -- 16.4.2 Similar Video Automatic Classification -- 16.5 Experimental Results -- 16.5.1 Dataset Introduction and Experiment Procedure -- 16.5.2 Analysis of Results -- 16.6 Conclusion -- References -- 17 Surface Defect Detection Method for the E-TPU Midsole Based on Machine Vision -- 17.1 Introduction -- 17.2 Relevant Knowledge -- 17.2.1 E-TPU Material -- 17.2.2 The Theory of Second-Order Difference Method -- 17.3 Proposed Method -- 17.3.1 The Theory of Second-Time Difference -- 17.3.2 Detection Algorithm -- 17.4 Experiment and Analysis -- 17.4.1 Experimental Conditions and Methods -- 17.4.2 The Experiment Content and Result -- 17.4.3 Analysis of Experimental Results -- 17.5 Conclusion -- References -- 18 A Multi-view Learning Approach for Glioblastoma Image Contrast Enhancement -- 18.1 Introduction -- 18.2 Background -- 18.3 Proposed Method -- 18.4 Experimental Results -- 18.5 Conclusion -- References -- 19 Multi-focus Image Fusion Based on Convolutional Sparse Representation with Mask Simulation -- 19.1 Introduction -- 19.2 Convolutional BPDN Dictionary Learning with Mask Simulation -- 19.3 Proposed CSRMS-Based Fusion Method -- 19.3.1 Source Multi-focus Image Decomposition -- 19.3.2 Fusion of High-Frequency Components -- 19.3.3 Fusion of Low-Frequency Components -- 19.3.4 Image Reconstruction -- 19.4 Experiments and Analysis -- 19.5 Conclusion -- References -- 20 A Collaborative Sparse Representation-Based Approach for Pattern Classification -- 20.1 Introduction -- 20.2 Related Work -- 20.2.1 Sparse Representation-Based Classification. , 20.2.2 Weighted Group Sparse Representation Classification.

Anmerkung: Intro -- Preface -- Contents -- About the Editors -- Intelligent Data Analysis -- An Integrated System for Unbiased Parkinson's Disease Detection from Handwritten Drawings -- 1 Introduction -- 2 Dataset -- 3 Methods -- 4 Experiments and Discussion -- 4.1 Model's Development Using Cross Validation -- 4.2 Evaluation of Generalization of the Developed Feature Driven Decision Support Systems Using Independent Testing -- 4.3 Analysis of the Obtained Results -- 5 Conclusion -- References -- Improving Supply Chain Agility to Reduce Enterprise Risk Based on QFD-MADM -- 1 Introduction -- 2 Research Reviewed -- 3 Research Methods -- 4 The Empirical Research -- 5 Conclusions -- References -- A CNN-Based Method for AAPL Stock Price Trend Prediction Using Historical Data and Technical Indicators -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Data and related Processing -- 3.2 Model Architecture -- 4 Experimental Results -- 5 Conclusion -- References -- Research on Supply Chain Agility Based on Bullwhip Effect -- 1 Introduction -- 2 Research Reviewed -- 3 Research Methods -- 4 The Empirical Research -- 5 Conclusions -- References -- Using Agility to Reduce the Bullwhip Effect of Supply Chains -- 1 Introduction -- 2 Literature Review -- 2.1 Supply Chain Bullwhip Effect -- 2.2 Supply Chain Agility -- 3 Methodology -- 3.1 Methods the Framework -- 4 Empirical Research -- 4.1 Questionnaire Design and Collation -- 4.2 Grey Relation Analysis -- 5 Conclusion -- References -- Mining Frequency-Utility Patterns from a Big Data Environment -- 1 Introduction -- 2 Related Work -- 2.1 Skyline -- 3 Preliminary and Problem Statement -- 3.1 Preliminaries -- 3.2 Problem Statement -- 4 Proposed a MapReduce Framework -- 4.1 Calculating Phase -- 4.2 Sorting Phase -- 4.3 Mining Phase -- 5 Experimental Results -- 6 Conclusion and Future Work -- References. , The Association Between Related-Party Transactions and Tax Planning -- 1 Introduction -- 2 Literature Review and Hypothesis Developments -- 2.1 Background on Related Party Transactions -- 2.2 Background on Tax Planning -- 3 Research Design and Empirical Study -- 4 Empirical Results -- 5 Additional Analyses -- 6 Conclusion -- References -- Mind-Media System: A Consumer-Grade Brain-Computer Interface System for Media Applications -- 1 Introduction -- 2 Method and Material -- 2.1 Hardware Design -- 2.2 EEG Recognition Method -- 3 Validation and Discussion -- 4 Conclusion -- References -- Artificial Intelligence -- A Cooperative Evolution Framework Based on Fish Migration Optimization -- 1 Introduction -- 2 Related Works -- 2.1 Fish Migration Optimization Algorithm -- 2.2 Cooperative Evolution -- 3 Proposed CEFMO Algorithm -- 3.1 Population Evaluation Stage -- 3.2 Coevolution Stage -- 4 Simulation Result and Discussion -- 5 Conclusion -- References -- Improving K-Means with Harris Hawks Optimization Algorithm -- 1 Introduction -- 2 Related Work -- 2.1 HHO -- 2.2 K-Means -- 3 HHO Combined with K-Means -- 4 HHO Combined with K-Means -- 4.1 Parameter Configuration -- 5 Conclusion -- References -- Weighted Multi-task Sparse Representation Classifier for 3D Face Recognition -- 1 Introduction -- 2 Related Work -- 2.1 Feature Point Extraction -- 2.2 Covariance Descriptor -- 2.3 Sparse Representation -- 3 Proposed Method -- 3.1 Face Partition -- 3.2 Multi-task Sparse Representation Classifier -- 4 Experimental Result -- 5 Conclusions -- References -- Multiple Kernel Clustering with Direct Consensus Graph Learning -- 1 Introduction -- 2 Related Works -- 3 Proposed Methodology -- 3.1 Notations -- 3.2 Direct Consensus Graph Learning -- 3.3 Optimization -- 4 Experiments and Analysis -- 4.1 Datasets and Settings -- 4.2 Comparison Methods -- 4.3 Experimental Results. , 4.4 Parameter Sensitivity -- 4.5 Convergence Study -- 5 Conclusion -- References -- Density Peaks Clustering Algorithm Based on K Nearest Neighbors -- 1 Introduction -- 2 DPC Algorithm -- 3 DPC-KNN Algorithm -- 3.1 Definition of Local Density -- 3.2 Design of Allocation Strategy -- 4 Experimental Results and Analysis -- 4.1 Data Pre-processing -- 4.2 Experimental Results of Synthetic Datasets -- 4.3 Analysis of Experimental Results on Practical Datasets -- 5 Conclusions -- References -- Exponential Fine-Tuning Harmony Search Algorithm -- 1 Introduction -- 2 Harmony Search Algorithm -- 3 Exponential Fine Tuning Harmony Search Algorithm -- 4 Conclusion -- References -- Computational Intelligences -- A Location Gradient Induced Sorting Approach for Multi-objective Optimization -- 1 Introduction -- 1.1 Contribution of the Paper -- 2 Location Gradient Number -- 3 The LG Number Based Sorting Method -- 4 Experiment and Results -- 5 Conclusion -- References -- Production Line Balance Optimization Based on Improved Imperial Competition Algorithm -- 1 Introduction -- 2 Overview of Production Line Balancing Concepts -- 3 Examples of a Steel Coil Packaging Production Line -- 4 Production Line Balance Model Construction -- 4.1 Model Building -- 5 Balance Design of Coil Production Line Based on Imperial Competition Algorithm -- 5.1 Algorithm is Introduced -- 5.2 Algorithm Steps -- 6 Effect Evaluation After Production Line Optimization -- 7 Conclusion -- References -- Research on the Key Resilience Indexes of Logistics Enterprises in Response to Supply Chain Disruption Risks -- 1 Introduction -- 2 Literature Review -- 3 Research Method -- 4 Case Analysis -- 5 Conclusions -- References -- Optimization of Resource Service Composition in Cloud Manufacture Based on Improved Genetic and Ant Colony Algorithm -- 1 Introduction -- 2 The Question Raised -- 3 Model Building. , 3.1 Service Quality Model -- 3.2 Treatment of Constraint Indicators -- 3.3 Objective Function Model -- 4 Algorithm Design -- 4.1 Basic Principles -- 4.2 Algorithm Improvement Strategy -- 4.3 Algorithm Flow -- 5 Simulation Examples -- 6 Conclusion -- References -- Real-Time Multi-person Multi-camera Tracking Based on Improved Matching Cascade -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Overview -- 3.2 Pedestrian Detection -- 3.3 Motion Model -- 3.4 Feature Extraction -- 3.5 Matching Cascade -- 4 Experimental Results -- 5 Conclusions -- References -- Design and Optimization of the Seat of the Elderly Scooter Based on Solar Energy -- 1 Introduction -- 2 Body Size of the Elderly -- 3 Structural Design -- 3.1 Curved Design of Backrest and Cushion -- 3.2 Armrest Height -- 3.3 Seat Width and Depth -- 4 Finite Element Model -- 5 Analysis of Simulation Experiment Results -- 6 Conclusion -- References -- Research on Digital Intelligence Enabled Omnimedia Communication System and Implementation Path in 5G Era -- 1 Introduction -- 2 Connotation of Omnimedia Communication -- 3 Research on Omnimedia Communication System Under the Digital Background -- 4 Digital Intelligence Enabled Omnimedia Communication Implementation Path -- 5 Research on the Evaluation System of Omnimedia Communication -- 6 Conclusion -- References -- Analysis of Interaction Patterns of Intercountry Cooperation and Conflict Events Based on Complex Networks -- 1 Introduction -- 2 Data and Network Model -- 2.1 Introduction of GDELT Event -- 2.2 Cooperation and Conflict Network Construction -- 3 Experiment and Analysis -- 3.1 Network Topology Features -- 3.2 Network Scale-Free Feature Analysis -- 3.3 Analysis of Interaction Patterns Between China and 15 Countries -- 4 Conclusion and Prospect -- References -- Video, Image, and Others. , Application of the Novel Parallel QUasi-Affine TRansformation Evolution in WSN Coverage Optimization -- 1 Introduction -- 2 QUasi-Affine TRansformation Evolution -- 3 The Novel Parallel Quasi-Affine TRansformation Evolution -- 4 The 3D WSN Coverage Model -- 5 Experimental Results -- 5.1 Experimental Results of Different Number of Nodes -- 5.2 Simulation Experiment of Different Communication Radius -- 6 Conclusions -- References -- Parameters Extraction of Solar Cell Using an Improved QUasi-Affine TRansformation Evolution (QUATRE) Algorithm -- 1 Introduction -- 2 Related Work -- 2.1 QUasi-Affine TRansformation Evolution -- 2.2 Improve QUATRE Algorithm Work -- 2.3 Double Diode Model of Solar Cell -- 3 Experiment Analysis -- 3.1 Experiments on Benchmark Functions -- 3.2 Parameters Estimation of Double Diode Model -- 4 Conclusions -- References -- QUATRE Algorithm for 5G Heterogeneous Network Downlink Power Allocation Problem -- 1 Introduction -- 2 QUATRE Algorithm and Its Variants -- 2.1 QUasi-Affine TRansformation Evolutionary Algorithm -- 2.2 C-QUATRE Algorithm -- 2.3 S-QUATRE Algorithm -- 3 5G Heterogeneous Network Downlink Power Allocation -- 4 Algorithm Experiment Results -- 5 Conclusion -- References -- Reversible Image Watermarking Based on Deep Learning -- 1 Introduction -- 2 PEE-Based Reversible Watermarking -- 3 Proposed Method -- 3.1 Training of Predictor -- 3.2 Watermark Embedding and Extracting -- 4 Experiment -- 4.1 Prediction Accuracy -- 4.2 Watermark Embedding Performance -- 5 Conclusions -- References -- Image Encryption with Logistic Chaotic Model Using C-QUATRE Algorithm -- 1 Introduction -- 2 Related Work -- 2.1 One-Dimensional Logistic Map -- 2.2 C-QUATRE Algorithm -- 3 Image Encryption Scheme Optimized by C-QUATRE -- 3.1 Image Encryption -- 3.2 Image Decryption -- 4 Experiment and Result Analysis -- 5 Conclusion -- References. , Visualization of Population Convergence Results by Sammon Mapping in Multi-objective Optimization.

Anmerkung: Intro -- Preface -- Contents -- About the Editors -- Spectral Reflectance Reconstruction Based on Weighted Root Polynomial -- 1 Introduction -- 2 Model and Method -- 3 Experiments -- 3.1 Experimental Data Acquisition -- 3.2 Evaluation Standard -- 3.3 Experimental Results and Discussion -- 4 Conclusion -- References -- A Drawing of Digital Printing Gamut Map -- 1 Introduction -- 2 Method -- 2.1 Main Contents of the Project -- 2.2 Purpose of the Experiment -- 2.3 Experimental Equipment -- 2.4 Experimental Steps -- 2.5 Data Processing and 3D Convex Hull Surface Graph -- 3 Results and Discussion -- 4 Conclusions -- References -- An Improved Contour Feature Extraction Method for the Image Butterfly Specimen -- 1 Introduction -- 2 Materials and Methods -- 2.1 Butterfly Species -- 2.2 Feature Selection -- 2.3 The Process of Feature Extraction -- 2.4 The Improved of HoMSC Feature -- 3 Result -- 4 Discussion -- References -- An Improved Neural Network Based on UNet for Surface Defect Segmentation -- 1 Introduction -- 2 S-UNet -- 2.1 UNet -- 2.2 ASPP -- 3 Experimental Evaluation -- 3.1 Datasets -- 3.2 Performance Measurement -- 3.3 Experimental Setup -- 3.4 Data Augmentation -- 4 Conclusion -- References -- A Preliminary Study on the Segmentation Algorithm of Dongba Scripture -- 1 Introduction -- 2 An Automatic Segmentation Algorithm Based on Recursive Polytomy -- 2.1 The Recursive Polytomy Algorithm Based on Projection -- 2.2 The Improvement of Recursive Polytomy Algorithm -- 3 Test -- 3.1 Accuracy Test -- 3.2 Robustness Test -- 4 Conclusion -- References -- Flower Gender Recognition Based on YOLO V4 -- 1 Introduction -- 2 Outline of YOLO V4 Algorithm -- 3 Our Works -- 3.1 Experimental Platform -- 3.2 Experimental Operation -- 4 Results and Discussion -- 5 Summary -- References -- Feature Understanding Based on Deconvolution Visualization. , 1 Introduction -- 2 Principle of Deconvolution Visualization -- 3 Understanding of Deconvolution Visualization -- 3.1 Selection of Network Structure and Dataset -- 3.2 Effectiveness Analysis of Deconvolution Visualization -- 4 Conclusion -- References -- Research on Resource Demand Prediction and Optimal Allocation Method in Cloud Computing Environment -- 1 Cloud Resource Load Feature Extraction and Classification -- 2 Supervised Clustering Algorithm of Resource Load Characteristics Based on Kernel Fuzzy C-Means (KFCM) -- 3 Algorithm Verification -- 4 Conclusion -- References -- Research on Incentive Effect of Tax Preference on Enterprise Innovation Based on DEA Model -- 1 Theoretical Research on Tax Incentive Policy -- 1.1 Theoretical Research on Incentive Policies -- 1.2 Theoretical Research on Enterprise Innovation Performance -- 2 DEA Model of the Influence of Tax Incentive Policy on Enterprise Innovation Performance -- 2.1 Tax Incentives Affect Innovation Performance DEA Model -- 2.2 Research Hypothesis -- 3 Strategies of Promoting Innovation Tax Incentive Policy in China -- 3.1 Policy Utilization -- 3.2 Policy Implementation -- 4 Conclusion -- References -- The Development Path of China's Social Security Helping Rural Poverty Alleviation Based on Multi-dimensional Integration Model -- 1 The Seriousness of Rural Poverty -- 2 Distribution of Poverty-Stricken Areas -- 2.1 Distribution of Concentrated Contiguous Poverty-Stricken Areas -- 2.2 Multi-dimensional Poverty Identification Model -- 2.3 Distribution of Key Poverty-Stricken Counties in the Area -- 2.4 Analysis of Poverty-Stricken Villages in Xiaojin County -- 3 Countermeasures -- 4 Conclusion -- References -- Sensitivity Analysis of NVH Structure of Car Body Based on Modal Analysis -- 1 Modal Analysis -- 1.1 Finite Element Modal Analysis of Car Body Structure. , 1.2 Finite Element Modal Analysis of Acoustic Cavity -- 1.3 Modal Analysis of Acoustic-Solid Coupling -- 2 Sound Pressure Response Analysis -- 3 Structural Sensitivity Analysis -- 4 Conclusion -- References -- Research on the Design of Nutrition and Sports Health Management System Based on Artificial Intelligence -- 1 Questions -- 2 Personalized Sports Management -- 3 The Necessity of Personalized Sports Health Management Service in the Era of Artificial Intelligence -- 3.1 Intelligent Products Provide Scientific Data for Personalized Sports and Health Management Services -- 3.2 Intelligent Stadiums Optimize the Sports Environment for Personalized Sports and Health Management -- 4 Design of Personalized Sports and Health Management Service System in the Era of Artificial Intelligence -- 4.1 Design Ideas of Artificial Intelligence + Personalized Sports Management Service System -- 4.2 Operation Process of Artificial Intelligence + Personalized Sports Management Service System -- 4.3 Design of Artificial Intelligence + Personalized Sports Management Service Management Stage -- 5 Implementation Path of Personalized Sports and Health Management Services in the Era of Artificial Intelligence -- 5.1 Implementation Path of Self-Help Sports and Health Service Based on Family or Hospital -- 5.2 Implementation Path of Physical Education and Health Management Service Based on Schools -- 5.3 Implementation Path of Individualized Sports and Health Management Service Based on Community -- 6 Conclusion -- References -- Research on English Word Intelligent Learning System Based on Mobile Education Concept -- 1 Introduction -- 2 System Analysis and Design -- 3 System Implementation -- 4 Conclusion -- References -- Research on the Application of Big Data Analysis in English Language Education -- 1 Introduction -- 2 Method -- 3 Empirical Analysis -- 4 Conclusion. , References -- CFD Analysis of Droplet Diffusion in Negative Pressure Ward -- 1 Introduction -- 2 The Physical Model -- 2.1 Physical Model of the Ward -- 2.2 Droplet Model -- 2.3 Breathing Model -- 2.4 Physical Model Simplification -- 3 The Governing Equation -- 3.1 Governing Equation of k-ε Model in Gas Phase -- 3.2 Particle Phase Control Equation: -- 4 Numerical Simulation Results and Analysis -- 4.1 Validation -- 4.2 Analysis of Concentration Distribution of Droplets with Different Particle Sizes -- 4.3 Adhesion Locations of Droplets with Different Particle Sizes -- 4.4 Discharge Effect of Droplets with Different Particle Sizes -- 5 Conclusion -- References -- Research on Cognitive Analysis Method of Command Mechanism Based on Operational Data Flow Motifs -- 1 Introduction -- 2 Multidimensional View Model of Combat System -- 2.1 Combat Data View -- 2.2 Command Mechanism View -- 2.3 Operational View -- 3 Analysis Method of Command Mechanism Based on ODFM -- 3.1 Basic Ideas and Related Concepts -- 3.2 Construction of Operational Data Flow Motifs -- 4 Basic Assumption of the Construction of Command Mechanism -- 4.1 Intelligence Warning Mechanism Should Highlight "Intelligent Cognition" -- 4.2 Command and Control Mechanism Should Highlight "Intelligent Control" -- 4.3 The Combat Coordination Mechanism Should Highlight "Intelligent Coordination" -- 5 Conclusion -- References -- Confirmatory Factor Analysis of Place Attachment in Agritourism -- 1 Introduction -- 2 Measurement Index of Place Attachment -- 3 Questionnaire Design -- 4 Data Analysis -- 5 Research Results and Conclusions -- References -- Application of Computer Sensor and Detection Technology in Mechatronics -- 1 Research Status of Motor Fault Diagnosis -- 2 Motor Fault Type -- 2.1 Bearing Failure -- 2.2 Inter-Turn Short Circuit Fault -- 2.3 Rotor Bar Breaking Fault -- 3 Conclusion. , References -- Establishment of Smart Customer Service System Based on Data Mining -- 1 Introduction -- 2 Methodology -- 3 Evaluation and Analysis -- 4 Conclusion -- References -- Application and Development of Natural Language Processing Service in Intelligent Customer Service System -- 1 Introduction -- 2 Methodology -- 3 Evaluation and Analysis -- 4 Conclusion -- References -- Research on University Network Ecological Governance Based on Block Chain Technology -- 1 Introduction -- 1.1 Concept of Network Ecology -- 1.2 Review of the Previous Research on University Network Ecological Governance -- 1.3 Generation and Development of Block Chain Technology -- 1.4 Current Application of Block Chain Technology -- 2 Implementation Path of University Network Ecological Governance Based on Block Chain Technology -- 2.1 Research on the Current Situation of University Network Ecology in the New Era -- 2.2 Research on the Optimization Path of University Network Ecological Governance -- 2.3 Recognition of Block Chain Technology -- 2.4 Construction of University Network Ecological Governance Model Based on Block Chain Technology -- 2.5 Practice of University Network Ecological Governance Model Based on Block Chain Technology -- 3 Outlook -- References -- Research on Informatization Construction of University Laboratory Under the Background of New Infrastructure -- 1 Proposal of New Infrastructure Concepts -- 2 Current Situation of Laboratory Information Construction in Colleges and Universities -- 2.1 There are Many Business Systems, and the Information of Materials and Equipment Cannot Be Shared -- 2.2 The Investment in Information Construction is Insufficient -- 2.3 The User Interaction Experience is not Strong -- 2.4 The Informatization Level of Managers is Uneven -- 3 Innovation Path of University Laboratory Information Construction. , 3.1 The Angle of Laboratory Construction.

Anmerkung: Intro -- Preface -- Contents -- About the Editors -- A Study of Digital Camera Spectral Reconstruction Based on BP Neural Networks and Polynomial Expansions -- 1 Introduction -- 2 Reflectance Reconstruction Based on Expansion of Response Value of Color Digital Camera -- 2.1 Response Value Expansion Method -- 2.2 Spectral Reconstruction Evaluation -- 3 Experimental Equipment and Environmental Conditions -- 4 Experimental Results and Analysis -- 4.1 Polynomial Expansion Result -- 4.2 Comparison of Different Reconstruction Methods -- 5 Conclusion -- References -- Research Status of Motor Imagery EEG Signal Based on Deep Learning -- 1 Introduction -- 2 Application of Deep Learning Algorithm in MI -- 2.1 CNN Applied to Motion Imagination -- 2.2 DBN Applied to Motion Imagination -- 3 Discussion -- 4 Conclusion -- References -- Image Recognition Based on Super-Resolution Wasserstein Generative Adversarial Nets with Gradient Penalty -- 1 Introduction -- 2 Related Work -- 2.1 Generative Adversarial Nets -- 2.2 Super-Resolution Generative Adversarial Nets -- 2.3 Wasserstein Generative Adversarial Nets with Gradient Penalty -- 3 Super-Resolution Wasserstein Generative Adversarial Nets with Gradient Penalty -- 3.1 Generator Architecture of the SRGAN-GP -- 3.2 Discriminator Architecture of the SRGAN-GP -- 3.3 Loss Function of SRWGAN-GP -- 3.4 Image Recognition -- 4 Experimental Results and Analysis -- 5 Conclusion -- References -- Overview of SAR Image Change Detection -- 1 Introduction -- 2 Research Contents and Methods of SAR Image Change Detection -- 2.1 Image Preprocessing -- 2.2 Difference Image Generation -- 2.3 Difference Image Analysis -- 2.4 Accuracy Test Index -- 3 Change Detection Results and Accuracy Evaluation of Some Typical Methods -- 4 Expectation -- References -- Overview of SAR Image Denoising Based on Transform Domain -- 1 Introduction. , 2 Speckle Model -- 3 SAR Image Denoising Algorithm Based on Transform Domain -- 3.1 Denoising Algorithm Based on Wavelet Transform -- 3.2 Denoising Algorithm Based on Multi-scale Analysis -- 4 Denoising Performance Parameters -- 4.1 Peak Signal-To-Noise Ratio (PSNR) -- 4.2 Equivalent Sight Number (ENL) -- 4.3 Edge Retention Index (EPI) -- 5 Simulation of the Typical Denoising Algorithm -- 6 Summary and Outlook -- References -- CRF-ERSVM: An Effective and Robust Support Vector Machine Based on Complete Random Forest -- 1 Introduction -- 2 Theoretical Background -- 2.1 CRF -- 2.2 SVM -- 3 CRF-ERSVM Model -- 3.1 CRF-ERSVM Framework -- 3.2 Improved CRF -- 3.3 Improved SVM -- 4 Experiments -- 4.1 UCI Datasets -- 4.2 Effectiveness -- 5 Conclusion -- References -- Overview of Speckle Noise Suppression Methods in SAR Image Based on NLM -- 1 Introduction -- 2 Classic-NLM Filtering -- 3 NLM Filtering Based on Mean Ratio -- 4 NLM Based on Structural Similarity Index and Gradient -- 5 NLM Based on Bilateral Filtering -- 6 Evaluation Index -- 7 Experimental Results and Analysis -- 8 Conclusion and Prospect -- References -- Overview of SAR Image Feature Extraction and Target Recognition -- 1 Introduction -- 2 SAR Image Target Recognition Process -- 3 Methods of SAR Image Feature Extraction and Target Recognition -- 3.1 Feature Extraction Methods Based on Optical or Visual Image Characteristics -- 3.2 Feature Extraction Methods Based on Statistical Analysis or Mathematical Transformation -- 3.3 Feature Extraction Methods of Scattering Mechanism Angle Based on Clear Physical Meaning -- 3.4 Feature Extraction Methods Based on Deep Learning -- 4 Simulation Results of Some Typical Methods -- 5 Difficulties and Prospects -- References -- Art Design Pattern Generation Method Based on 3D Fractal -- 1 Introduction. , 2 Fractal Theory and the Generation Method of Fractal Graphics -- 3 3D Pattern Design -- 4 Conclusions -- References -- Research on Cooperative Production Planning Method Based on Factor Analysis and BP Neural Network Model -- 1 Research Ideas -- 2 Research Methods -- 3 Model Building -- 3.1 Construction of BP Neural Network in Industrial Cigarette Sales Forecast Model -- 3.2 Input and Output Enterprise Factor Analysis Modeling -- 4 The Application and Improvement Direction of the Model -- References -- Appearance Defect Detection of Injection Parts Based on Deep Learning -- 1 Introduction -- 2 Selection of Image Acquisition Equipment -- 2.1 Selection of Camera and Lens -- 2.2 The Selection and Scheme of Light Source -- 3 Image Preprocessing -- 3.1 Common Defects of Injection Parts -- 3.2 Data Set Expansion -- 3.3 Image Enhancement -- 4 Fundamentals of Convolutional Neural Networks -- 4.1 Convolutional Neural Network -- 5 Appearance Defect Recognition of Injection Parts Based on Convolutional Neural Network -- 5.1 Comparative Analysis of Classical Convolutional Neural Networks -- 5.2 A Structural Model of Convolutional Neural Network for Appearance Defect Detection of Injection Molded Parts -- 5.3 A Training Method for Defect Recognition in Convolutional Neural Networks -- 5.4 The Evaluation Index -- 5.5 Model Hyperparameter Selection -- 5.6 Comparative Experiment and Analysis with Common Classical Networks -- 6 Conclusion -- References -- Thresholding Method for the Sonar Image of a Seabed Target Based on Two-Dimensional Renyi's Entropy -- 1 Introduction -- 2 Dual-Threshold Method Based on Two-Dimensional Renyi's Entropy -- 3 Thresholding Results of the Sonar Image of a Seabed Target -- 3.1 Introduction to the Sonar Image of a Seabed Target -- 3.2 Thresholding Steps and Results of the Sonar Image of a Seabed Target -- 4 Conclusion -- References. , Noise Reduction in Sonar Images of Seabed Targets Based on a Variational Method -- 1 Introduction -- 2 Improved Variational Method for Image Noise Reduction -- 3 Experimental Results and Analysis -- 4 Conclusion -- References -- Sonar Image Segmentation of Seabed Targets Using a Variational Approach -- 1 Introduction -- 2 Improved Model for Image Segmentation -- 3 Experimental Results and Analysis -- 4 Conclusion -- References -- Balance the Robustness and Invisibility of Digital Watermarking by Image Entropy in Multiple Domains -- 1 Introduction -- 2 The Proposed Scheme -- 2.1 Watermark Embedding -- 2.2 Watermark Extraction -- 3 Experiments -- 4 Conclusion -- References -- Research Progress of Electrical Resistance Tomography -- 1 Introduction -- 2 Research Work of This Article -- 3 ERT Research Status -- 3.1 Applied Research Aspects of ERT -- 3.2 ERT's Image Reconstruction Unit -- 3.3 ERT's Sensor Unit -- 3.4 Conductive Concrete -- 4 Conclusion -- References -- Research on Low-Resolution Image Matching and Recognition Algorithm Based on Unified Feature Space -- 1 Establishment of Low-Resolution Image Data Sets -- 2 Super-Resolution Method Based on Sparse Representation -- 3 Algorithm Based on Two-Layer Coupled Space Mapping -- 4 To Summarize -- 5 Conclusion -- References -- Research on Realistic Representation Technology in Virtual Environment -- 1 Research on 3D Entity Modeling Technology -- 2 Principles of Computer 3D Modeling -- 2.1 Table of Priority Algorithms -- 2.2 Texture Mapping Algorithm -- 3 Computer 3D Modeling Technology -- 3.1 Application of Texture Technology in Modeling Process -- 3.2 Application of Detail Level Model in the Modeling Process -- 4 Conclusion -- References -- Intelligent Customer Service Operation Management System Solution Based on Intelligent Voice Analysis -- 1 Introduction -- 2 Methodology. , 3 System Implementation -- 4 Conclusion -- References -- Research on Car Seat Comfort Evaluation System Based on Chinese Population -- 1 Introduction -- 2 Seat Comfort Evaluation System -- 3 Theory and Method of Static Comfort Evaluation -- 3.1 Subjective Evaluation -- 3.2 Objective Evaluation -- 4 Theory and Method of Dynamic Comfort Evaluation -- 4.1 Subjective Evaluation -- 4.2 Objective Evaluation -- 5 Based on the Comfort Evaluation Verification of Chinese Population -- 5.1 Implementation of Comfort Evaluation -- 5.2 Construction of Seat Comfort Analysis System Database -- 6 Conclusions -- References -- Research on Building Extraction from High-Resolution Remote Sensing Image Based on Improved U-Net -- 1 Introduction -- 2 Algorithm Introduction -- 2.1 Introduction to U-Net Model Architecture -- 2.2 Pyramid Pooling Module -- 2.3 Segmentation Model Based on Improved U-Net -- 3 Experiment and Result Analysis -- 3.1 Data Set and Its Preprocessing -- 3.2 Model Training -- 3.3 Result Analysis -- 4 Conclusion -- References -- A Survey of Image Classification Algorithms Based on Graph Neural Networks -- 1 Introduction -- 2 Related Works -- 2.1 Graph Neural Network -- 2.2 Classification of Neural Networks -- 3 A Survey of Image Classification Algorithms Based on Graph Neural Networks -- 3.1 The Algorithm Based on Supervised Learning -- 3.2 The Algorithm Based on Unsupervised Graph Neural Network -- 3.3 The Algorithm of Semi-Supervised Graph Neural Networks -- 3.4 The Algorithm of Weakly Supervised Graph Neural Networks -- 4 Conclusions -- References -- An Improved Method of Non-local Means Denoising Based on Histogram -- 1 Introduction -- 2 Non-Local Means Denoising Algorithm -- 3 Algorithm in This Paper -- 4 Evaluation Index -- 5 Experimental Results and Analysis -- 6 Conclusion -- References. , Short-Term Traffic Volume Prediction Based on Gray Wolf Optimization Algorithm.