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

Note: Intro -- Title -- Preface -- Contents -- Machine Learning Applications in Cancer Informatics -- Introduction -- Case-Based Reasoning Approach for Diagnosis of Cancer Diseases -- Case-Based Reasoning Methodology -- Technical Aspects of the Case-Based Expert System -- Ontological Engineering Approach for Cancer Knowledge Management -- Web-Based Lung Cancer Ontology -- Web-Based Breast Cancer Ontology -- Breast Cancer Classification Using a Combination of Ontology and Case-Based Reasoning -- Breast Cancer Domain -- The Open Source jCOLIBRI Framework -- The Open Source myCBR Framework -- Experimental Results of Breast Cancer Classifications -- Genetic Algorithms Approach for Data Mining Breast Cancer Classification -- Genetic Algorithms Approach -- Breast Cancer Database -- Experimental Results of GAFRC4.5 Classifier -- Conclusions -- References -- Methods for Interpretation of Data in Medical Informatics -- Introduction -- Exploring Correlation between Categories: Interpretation Versus Statistics -- Hierarchical Grouping: Conceptual Clustering -- Interpretation of Clusters over a Hierarchical Ontology of the Domain -- Conclusion -- References -- Visual System of Sign Alphabet Learning for Poorly-Hearing Children -- Introduction -- Related Work -- Overview of Gesture Segmentation and Recognition Methods -- Overview of Sign Languages Methods -- Signs Classification -- Dactylology Statements -- Signs Features Extraction -- Proposed Algorithms of Segmentation, Vectorization and Identification -- Spatio-Temporal Segmentation of Gestures -- Vector Model of Gesture -- Identification and Decision Marking -- Software "Russian Sign Language" and Experimental Results -- Conclusions -- References -- Decorrelation of Sequences of Medical CT Images Based on the Hierarchical Adaptive KLT -- Introduction. , Principle for Decorrelation of a Group of CT Images through Hierarchical AKLT -- Calculation of Eigen Images through AKLT with 3×3 Matrix -- Experimental Results -- Evaluation of the Computational Complexity -- Conclusions -- References -- Compression with Adaptive Speckle Suppression for Ultrasound Medical Images -- Introduction -- Basic Principles of IPD -- Modified IPD for Speckle Noise Suppression -- Fuzzy Adaptive Digital Filter -- Experimental Results -- Conclusions -- References -- Adaptive Approach for Enhancement the Visual Quality of Low-Contrast Medical Images -- Introduction -- Adaptive Contrast Enhancement -- Two-Part Histogram Enhancement -- Three-Part Histogram Enhancement Based on Histogram-AdaptiveSegmentation -- Experimental Results -- Experiments for the Two-Part Histogram Enhancement -- Experiments for the Three-Part Histogram Enhancement -- Conclusions -- References -- An Adaptive Enhancement of X-Ray Images -- Introduction -- Basic Stages for X-Ray Image Enhancement -- Contrast Limited Adaptive Histogram Equalization (CLAHE) -- Morphological Processing -- Noise Reduction Based on Wavelet Packet Decomposition and Adaptive Threshold -- Experimental Results -- Conclusions -- References -- Medical Images Transform by Multistage PCA-Based Algorithm -- Introduction -- Image Transform by PCA with a Matrix of Size 2×2 -- The 2D Multistage PCA-Based Algorithm -- Evaluation of the Computational Complexity of 2D-MPCA -- Experimental Results -- Conclusion -- References -- A New Histogram-Based Descriptor for Images Retrieval from Databases -- Introduction -- Description of the Features -- Generation of the d-TASS Function -- Derived Features -- Definition of the Proposed Descriptor -- Evaluation of the Proposed Descriptor -- Performance Assessment -- Test Sets -- Experimental Results -- Conclusions -- References. , Combining Features Evaluation Approach in Content-Based Image Search for Medical Applications -- Introduction -- Features for Image Similarity Search -- Benchmark Image Database -- Automatic Image Retrieval Performance Evaluation -- Experimental Comparison and Analysis -- Feature Performance Comparison -- Analysis and Suggesting Combination of Features -- Retrieved Image Results -- Conclusions and Future Work -- References -- Semi-automatic Ultrasound Medical Image Recognition for Diseases Classification in Neurology -- Introduction -- TCS Images, Substantia Nigra and Parkinson´s Disease -- Intensity Criteria Detection by Multi-agent System -- Implementation in MATLAB -- MAS-Based Processing -- Conclusions -- References -- Classification and Detection of Diabetic Retinopathy -- Introduction -- Material and Method -- Detection of Dark Abnormalities -- Detection of White Abnormalities -- Results -- Results of Dark Abnormalities -- Results of White Abnormalities -- Conclusion -- References -- Principal Component Analysis Used in Estimation of Human's Immune System, Suffered from Allergic Rhinosinusopathy Complicated with Clamidiosis or without It -- Introduction -- Description of Methods -- Results of Research -- Conclusion -- References -- Computer-Aided Diagnosis of Laryngopathies in the LabVIEW Environment: Exemplary Implementation -- Introduction -- Laryngopathy Data -- Algorithms -- A Computer Tool Based on LabVIEW -- Conclusions -- References -- Analysis and Development of Techniques and Methods in Medical Practice in Cochlear Implant Systems -- Introduction -- Review of Speech Processing Strategies in Cochlear Implants -- The Cochlear Filter Banks -- Physical Hydrodynamics Fluid 3D - Model of Cochlear Filter Banks -- Physical Gammatone Linear Model of Cochlear Filter Banks -- The Artificial Models of Cochlear Filter Banks. , Method for Comparison of Cochlear Filter Banks Models -- Conclusion -- References -- On Confidentially Connected-Free Graphs -- Introduction -- Preliminaries -- The Relationship between CC-Free Graphs and AT-Free Graphs -- Characterization of CC-Free Graphs Using Neighborhoods -- CC-Free Graphs and Star-Cutset -- A New Characterization of CC-Free Graphs Using the Weakly Decomposition -- Conclusions and Future Work -- References -- Route Search Algorithm in Timetable Graphs and Extension for Block Agents -- Introduction -- Preliminaries -- Route Search Algorithm -- How to Generate the Summary Timetable Graph -- Effective Route Search Algorithm -- How to Improve the Search Algorithm -- Experiments -- Extension for Block Agents -- Application for Medical Domain -- Conclusions and Future Work -- References -- From Individual EHR Maintenance to GeneralisedFindings: Experiments for Application of NLP to Patient-Related Texts -- Introduction -- Related Work -- IE from Bulgarian Hospital Discharge Letters -- Material -- Methods -- Potential Applications of the IE Prototypes -- Conclusion -- References -- A Terminology Indexing Based on Heuristics Using Linguistic Resources for Medical Textual Corpus -- Introduction -- Problematic and General Description of Our Approach -- Related Works -- Pretreatments -- Standardization -- Labeling -- Formatting of Texts -- Filtering of Candidate Terms -- Description of Filters -- Conclusion About Filters -- Pruning of Terms -- Structure of the Index -- Experiments and Results -- Corpus and Method Evaluation -- Measures and Interpretation -- Conclusion and Outlook -- References -- Architecture for Medical Image Processing -- Introduction -- Architecture of the Medical Image Processing System -- Experimental Image Processing Tasks -- Conclusions -- References -- A New Generation of Biomedical Equipment: FPGA -- Introduction. , The FPGA Technology and Its Place in the Electronic Industry -- FPGA Design Tools - A Brief Tutorial -- Existing Healthcare and Biomedical FPGA Applications -- Conclusions -- References -- Author Index.

Note: Title -- Contents -- Part I Intelligent Image Processing -- Advances in Reasoning-Based Image Processing and Pattern Recognition -- Introduction -- Performance Analysis and Comparison of the Dirac Video Codec with H.264/ MPEG-4, Part 10 -- Linear and Non-linear Inverse Pyramidal Image Representation: Algorithms and Applications -- Preserving Data Integrity of Encoded Medical Images: The LAR Compression Framework -- Image Processing in Medicine -- Attention in Image Sequences: Biology, Computational Models, and Applications -- Visual Perception for Mobile Robots Motion Control -- Motion Estimation for Object Analysis and Detection in Videos -- Shape-Based Invariant Features Extraction for Object Recognition -- Object-Based Image Retrieval System Using Rough Set Approach -- Paraconsistent Artificial Neural Networks and Delta, Theta, Alpha, and Gamma Band Detection -- Paraconsistent Artificial Neural Networks and Pattern Recognition: Speech Production Recognition and Cephalometric Analysis -- On Creativity and Intelligence in Computational Systems -- Method for Intelligent Representation of Research Activities of an Organization over Taxonomy of Its Field -- Performance Analysis and Comparison of the Dirac Video Codec with H.264/MPEG-4, Part 10 -- Introduction -- Dirac Architecture -- Dirac Encoder [1] [21] -- Dirac Decoder [1] [21] -- Stages of Encoding and Decoding in Dirac -- Wavelet Transform -- Scaling and Quantization -- Entropy Coding -- Motion Estimation -- Motion Compensation -- Decoder -- Implementation -- Code Structure Overview -- Simplicity and Relative Speed of Encoding -- Results -- Compression Ratio Test -- SSIM Test -- PSNR Test -- Conclusions -- Future Research -- References -- Linear and Non-linear Inverse Pyramidal Image Representation: Algorithms and Applications -- Basic Methods for Pyramidal Image Decomposition. , Basic Principles of the Inverse Pyramid Decomposition -- Inverse Pyramid Decomposition with Orthogonal Transforms -- Comparison of the Inverse and the Laplacian Pyramid Decompositions -- Reduced Inverse Pyramid Decomposition -- Inverse Pyramid Decomposition with Non-linear Transforms Based on Neural Networks -- Multi-view Image Representation Based on the Inverse Pyramidal Decomposition -- Multi-view 3D Object Representation with Modified IPD -- Experimental Results -- Multispectral Images Representation with Modified IPD -- Selection of the Reference Image in Multispectral Sequence -- Experimental Results -- Conclusions -- References -- Preserving Data Integrity of Encoded Medical Images: The LAR Compression Framework -- Introduction -- How to Protect Content in an Image? -- Cryptography -- Data Hiding and Image Coding -- Secure Transmission of Encoded Bitstreams -- Error Resilience and Channel Coding -- IP Packets Securization Processes -- LTE Standard Application Case: Securization Process for Advanced Functionalities -- Application Example: LAR Medical Framework -- LAR Codec Overview -- Principles and Properties -- Content Protection Features -- Transmission Error Protection - Error Resilience -- Conclusion -- References -- Image Processing in Medicine -- Introduction -- Overview of Medical Imaging -- Imaging Modality -- Image Reconstruction -- Image Format -- Diagnostic Practice Using Medical Images -- Conventional Approaches of Image Processing -- Image Segmentation -- Image Registration -- Visualization -- Application -- CAD, CAS and Virtual Endoscopy -- Image-Guided Navigation for Paranasal Sinus Surgery -- Summary -- References -- Attention in Image Sequences: Biology, Computational Models, and Applications -- Introduction -- Computational Models of Visual Attention -- A Taxonomy of Computational Model of Bottom-Up Visual Attention. , Hybrid Computational Models of Visual Attention -- Selected Datasets -- LABELME -- Amsterdam Library of Object Images (ALOI) -- Spatially Independent, Variable Area, and Lighting (SIVAL) -- MSRA -- Caltech -- PASCAL VOC -- Software Implementations of Attention Modeling -- Itti-Koch Model -- Matlab Implementations -- TarzaNN -- Model Proposed by Matei Mancas -- JAMF -- LabVIEW -- Attention Models Evaluation and Top-Down Models -- Applications -- Example -- References -- Part II Pattern Recognition, Image DataMining and Intelligent Systems -- Visual Mobile Robots Perception for Motion Control -- The Principles and Basic Model of Mobile Robot Visual Perception -- Log-Polar Visual Mobile Robot Perception Principles and Properties -- Definition of Log-Polar Transformation for Mobile Robot Visual Perception -- Log-Polar Transformation of Image Points in Visual Mobile Robot Perception System -- The Properties of Log-Polar Transformation Suitable for Visual Mobiles Robot Perception System -- Visual Perception of Objects Rotation in Log-Polar Mobile Robot Visual Perception Systems -- Visual Perception of Objects Translation and Scaling in Log-Polar Mobile Robot Visual Perception Systems -- Algorithm for Motion Control with Log-Polar Visual Mobile Robot Perception -- The Basic Principles and Steps of the Algorithm for Motion Control with Log-Polar Visual Mobile Robot Perception -- Simulation and Test Results for the Algorithm of Motion Control with Log-Polar Visual Mobile Robot Perception -- Conclusion -- References -- Motion Estimation for Objects Analysis and Detection in Videos -- Introduction -- Classification of Motion Estimation Methods -- Comparative Motion Estimation Methods -- Gradient Motion Estimation Methods -- Local Motion Estimation Based on Tensor Approach -- The Initiation Stage -- Motion Estimation in Visual Imagery. , Motion Estimation in Infrared Imagery -- Elaboration of Boundaries of Moving Regions -- Classification of Dynamic Regions -- Experimental Researches -- Tasks for Self-testing -- Conclusion -- References -- Shape-Based Invariant Feature Extraction for Object Recognition -- Introduction -- One-Dimensional Function for Shape Representation -- Complex Coordinates -- Centroid Distance Function -- Tangent Angle -- Contour Curvature -- Area Function -- Triangle-Area Representation -- Chord Length Function -- Discussions -- Polygonal Approximation -- Merging Methods -- Splitting Methods -- Discussions -- Spatial Interrelation Feature -- Adaptive Grid Resolution -- Bounding Box -- Convex Hull -- Chain Code -- Smooth Curve Decomposition -- Symbolic Representation Based on the Axis of Least Inertia -- Beam Angle Statistics -- Shape Matrix -- Shape Context -- Chord Distribution -- Shock Graphs -- Discussions -- Moments -- Boundary Moments -- Region Moments -- Discussions -- Scale Space Approaches -- Curvature Scale-Space -- Intersection Points Map -- Discussions -- Shape Transform Domains -- Fourier Descriptors -- Wavelet Transform -- Angular Radial Transformation -- Shape Signature Harmonic Embedding -- R-Transform -- Shapelet Descriptor -- Discussions -- Summary Table -- Illustrative Example: A Contour-Based Shape Descriptor -- Fundamental Concepts -- Equal Area Normalization -- Normalized Part Area Vector -- Experimental Results -- Conclusion -- References -- Object-Based Image Retrieval System Using Rough Set Approach -- Introduction -- Basic Concepts -- Rough Sets: Short Description -- Rough Image Processing -- Image Retrieval Systems: Problem Definition and Categories -- Object-Based Image Retrieval System -- Pre-processing: Segmentation and Feature Extraction -- Similarity and Retrieval System -- Experimental Results and Discussion -- Conclusion. , References -- Paraconsistent Artificial Neural Networks and Delta, Theta, Alpha, and Beta Bands Detection -- Introduction -- Background -- The Main Artificial Neural Cells -- Paraconsistent Artificial Neural Cell of Analytic Connection - PANCac -- Paraconsistent Artificial Neural Cell of Maximization- PANCmax -- Paraconsistent Artificial Neural Cell of Minimization- PANCmin -- Paraconsistent Artificial Neural Unit -- Paraconsistent Artificial Neural System -- PANN for Morphological Analysis -- Data Preparation -- The PANN Architecture -- Expert System 1 - Checking the Number of Wave Peaks -- Expert System 2 - Checking Similar Points -- Expert System 3 - Checking Different Points -- A Didactic Sample -- Experimental Procedures - Attention-Deficit / Hyperactivity Disorder -- Experimental Procedures - Applying in Alzheimer Disease -- Expert System 1 - Detecting the Diminishing Average Frequency Level -- Expert System 2 - High Frequency Band Concentration -- Expert System 3 - Low Frequency Band Concentration -- Results -- Discussion -- Conclusions -- References -- Paraconsistent Artificial Neural Networks and Pattern Recognition: Speech Production Recognition and Cephalometric Analysis -- Introduction -- Background -- The Paraconsistent Artificial Neural Cells - PANC -- The Paraconsistent Artificial Neural Cell of Learning - PANC-L -- Unlearning of a PANC-l -- Using PANN in Speech Production Recognition -- Practical Results -- Cephalometric Variables -- Architecture of the Paraconsistent Artificial Neural Network -- Results -- Discussion -- Conclusions -- References -- On Creativity and Intelligence in Computational Systems -- Introduction -- On the Use of Ray Tracing for Visual Recognition -- Case Generalization for Ray Tracing -- The Case Generalization for Ray Tracing Algorithm -- On Unmanned Autonomous Vehicles (UAVs) -- Overview. , Alternate Approaches.

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

Note: 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 -- 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.

Note: Intro -- Preface -- Contents -- About the Editors -- 1 Color Restoration of RGB-NIR Images in Low-Light Environment Using CycleGAN -- 1.1 Introduction -- 1.2 CycleGAN Structure -- 1.2.1 The Overall Structure -- 1.3 Objective Function -- 1.3.1 The Basic Objective Function of GANs -- 1.3.2 Objective Function of Cyclic Transformation Consistency -- 1.3.3 Total Objective Function of CycleGAN -- 1.4 Experiment and Evaluation -- 1.4.1 Image Data Set in Low-Light Environment -- 1.4.2 Training Method -- 1.5 Quantitative and Qualitative Evaluation -- 1.6 Conclusion and Discussion -- References -- 2 Dynamic Grey Wolf Optimization Algorithm Based on Quasi-Opposition Learning -- 2.1 Introduction -- 2.2 Grey Wolf Optimization Algorithm -- 2.3 Improved Grey Wolf Algorithm -- 2.3.1 Opposition-Based Learning (OBL) -- 2.3.2 Dynamic Search Strategy -- 2.3.3 Improved the Grey Wolf Algorithm to Optimize the Process -- 2.4 Numerical Experiment and Result Analysis -- 2.4.1 Influence of Improved Strategy on GWO -- 2.4.2 Compared with Other Swarm Intelligence Optimization Algorithms -- 2.5 Conclusion -- References -- 3 Image Recognition Methods Based on Deep Learning -- 3.1 Introduction -- 3.1.1 Overview of Image Recognition -- 3.1.2 Preprocessing in Image Recognition -- 3.1.3 Feature Extraction in Image Recognition -- 3.2 Deep Learning Model for Image Recognition -- 3.2.1 Feedforward Neural Network (FNN) -- 3.2.2 Convolutional Neural Network (CNN) -- 3.2.3 Recursive Neural Network (RNN) -- 3.2.4 U-Net Convolutional Neural Network -- 3.2.5 Long Short-Term Memory Network -- 3.2.6 Auto-Encoder Neural Network -- 3.2.7 Generative Adversarial Network (GAN) -- 3.2.8 Deep Belief Network (DBN) -- 3.3 The Application of Deep Learning in Image Recognition -- 3.3.1 Face Recognition -- 3.3.2 Traffic Image Recognition -- 3.3.3 Medical Image Recognition. , 3.4 Train a Convolutional Neural Network from a Small Data Set -- 3.4.1 Data Sorting and Network Building -- 3.4.2 Data Processing and Reading -- 3.4.3 Image Processing -- 3.5 Conclusion -- References -- 4 Longitudinal Structure Analysis and Segmentation Algorithm of Dongba Document -- 4.1 Overview of Dongba Hieroglyphics -- 4.2 Structure of Dongba Document Image -- 4.3 Preprocessing of Dongba Documents -- 4.4 Automatic Segmentation and Recognition of Columns -- 4.5 Experiment -- 4.6 Conclusion -- References -- 5 Overview of SAR Image Change Detection Based on Segmentation -- 5.1 Introduction -- 5.2 Traditional Image Change Detection Methods -- 5.2.1 Image Difference Method -- 5.2.2 Image Ratio Method -- 5.2.3 Correlation Coefficient Method -- 5.2.4 Image Regression Method -- 5.3 SAR Image Change Detection Method Based on Segmentation -- 5.4 Simulation Results -- 5.5 Summary and Expectation -- References -- 6 Full-Focus Imaging Detection of Ship Ultrasonic-Phased Array Based on Directivity Function -- 6.1 Introduction -- 6.2 Method -- 6.2.1 Principle Analysis -- 6.2.2 Full-Focusing Algorithm in Frequency-Wave Number Domain -- 6.3 Result Analysis -- 6.3.1 System Introduction -- 6.3.2 Test Experiment -- 6.4 Conclusion -- References -- 7 A Novel Space Division Rough Set Model for Feature Selection -- 7.1 Introduction -- 7.2 Related Work -- 7.3 Our Approach -- 7.4 Experiments -- 7.5 Conclusion -- References -- 8 Development of Mobile Food Recognition System Based on Deep Convolutional Network -- 8.1 Introduction -- 8.2 Related Work -- 8.2.1 Food Recognition Models -- 8.2.2 Mobile Food Recognition System -- 8.3 Methods -- 8.3.1 Deep Convolutional Neural Network -- 8.3.2 Training Food Recognition Models -- 8.3.3 Deploying the Recognition Application on Android Side -- 8.4 Experiment Results -- 8.4.1 "ChineseFood80" Dataset. , 8.4.2 Train and Select Food Recognition Models -- 8.4.3 Food Recognition Application on Android Device -- 8.5 Conclusion -- References -- 9 Water Environmental Quality Assessment and Effect Prediction Based on Artificial Neural Network -- 9.1 Introduction of Artificial Neural Network Model for Water Environmental Quality Assessment -- 9.2 Prediction Model Based on Levenberg-Marquardt Optimization Algorithm -- 9.2.1 Time Series -- 9.2.2 Algorithm of Prediction Model -- 9.2.3 Defining the Grid Structure -- 9.2.4 Sample Selection and Training Methods -- 9.3 Predictive Analysis -- 9.4 Conclusion -- References -- 10 Network Intrusion Detection Based on Apriori-Kmeans Algorithm -- 10.1 Introduction -- 10.2 Research Status -- 10.3 Apriori-Kmeans Algorithm -- 10.4 Intrusion Detection Model Based on Apriori-Kmeans Algorithm -- 10.5 Simulation Experiment -- 10.6 Summary -- References -- 11 A Fast Heuristic k-means Algorithm Based on Nearest Neighbor Information -- 11.1 Introduction -- 11.1.1 Optimization of the Selection of Initial Centroids -- 11.1.2 Accelerate Approximate K-means -- 11.1.3 Accelerate Exact K-means -- 11.1.4 Our Contribution -- 11.2 A Heuristic K-means Algorithm -- 11.2.1 Narrow the Search Space of Sample Points -- 11.2.2 Reduce the Number of Sample Points for Reallocation -- 11.2.3 Algorithm Flow Chart -- 11.3 Experiments -- 11.4 Conclusion -- References -- 12 Global Analysis of Discrete SIR and SIS Systems -- 12.1 Introduction -- 12.2 Continuous Model -- 12.3 Discretization of Continuous Models -- 12.4 The Second Discrete Model -- 12.5 Stability Analysis -- 12.6 Globally Asymptotically Stable -- 12.7 Conclusion -- References -- 13 Image-Based Physics Rendering for 3D Surface Reconstruction: A Survey -- 13.1 Introduction -- 13.2 Research Status of 3D Reconstruction Based on Image -- 13.3 Image-Based 3D Surface Reconstruction. , 13.3.1 Laser Scanning Method -- 13.3.2 Time-Of-Flight Method -- 13.3.3 Structured Light Method -- 13.3.4 Shape from Shading Method -- 13.3.5 Shape from Silhouettes Method -- 13.3.6 Shape-from-Motion Method -- 13.3.7 Shape-from-Texture Method -- 13.3.8 Shape-from-Focus Method -- 13.3.9 Photometric Stereo -- 13.4 Summary -- References -- 14 Insulator Detection Study Based on Improved Faster-RCNN -- 14.1 Introduction -- 14.2 Sample Expansion -- 14.3 Insulator Identification and Positioning -- 14.3.1 Faster RCNN Detection Principle -- 14.3.2 Improved RPN -- 14.3.3 Residual Networks (ResNet) -- 14.3.4 Multi-Scale Training -- 14.3.5 Comparison of Different Detection Methods -- 14.4 Detection of Defective Insulators -- 14.5 Improved Faster-RCNN -- 14.6 Experimental Verifications -- 14.6.1 Conduct a Comparative Experiment -- 14.6.2 Compare Experimental Results -- 14.7 Summary -- References -- 15 Citrus Positioning Method Based on Camera and Lidar Data Fusion -- 15.1 Introduction -- 15.2 Method -- 15.2.1 The Citrus Positioning Algorithm -- 15.2.2 Preliminary Positioning of Pixel Coordinates of Citrus -- 15.2.3 Camera and Lidar Joint Calibration -- 15.2.4 Camera and Lidar Data Fusion -- 15.2.5 Conversion of Citrus Pixel Coordinates to Three-Dimensional Space Coordinates -- 15.3 Experiments -- 15.3.1 Environment of System -- 15.3.2 Detection Effects of Citrus -- 15.3.3 The Results of Camera Internal Parameter Calibration -- 15.3.4 The Results of Camera and Lidar Joint Calibration -- 15.3.5 The Results of Citrus Positioning -- 15.4 Conclusion -- References -- 16 Comparative Analysis of Automatic Poetry Generation Systems Based on Different Recurrent Neural Networks -- 16.1 Introduction -- 16.2 Problem Formation -- 16.3 The Invariant Testbed -- 16.4 The Internal Logic of RNN Modules -- 16.5 Results -- 16.6 Analysis and Expectation -- References. , 17 Grid False Data Intrusion Detection Method Based on Edge Computing and Federated Learning -- 17.1 Introduction -- 17.2 Research Status -- 17.3 Principles of False Data Injection Attacks -- 17.4 Design of Intrusion Detection Model Based on Edge Computing and Federated Learning -- 17.4.1 Edge Computing -- 17.4.2 Federated Learning -- 17.4.3 Framework Based on Edge Computing and Federated Learning -- 17.4.4 CNN-LSTM Joint Detection Model -- 17.5 Case Analysis -- 17.6 Summary -- References -- 18 Innovative Design of Traditional Arts and Crafts Based on 3D Digital Technology -- 18.1 Introduction -- 18.2 Application Steps -- 18.2.1 Preparation Period -- 18.2.2 Design Period -- 18.2.3 Optimization Period -- 18.3 Application Direction -- 18.3.1 Ceramic -- 18.4 Conclusion -- References -- 19 Research on the Simulation of Informationized Psychological Sand Table Based on 3D Scene -- 19.1 Introduction -- 19.2 Method -- 19.2.1 Design and Application -- 19.2.2 Hardware Design -- 19.2.3 Infrared Scanning Design -- 19.2.4 Software Design -- 19.3 Result Analysis -- 19.4 Conclusion -- References -- 20 Research on Graphic Design of Digital Media Art Based on Computer Aided Algorithm -- 20.1 Introduction -- 20.2 Method -- 20.2.1 Digital Media Art Graphic Design Content -- 20.2.2 Shape Interpolation -- 20.3 Result Analysis -- 20.4 Conclusion -- References -- 21 Research on Visual Communication of Graphic Design Based on Machine Vision -- 21.1 Introduction -- 21.2 Method -- 21.2.1 Design Process -- 21.2.2 Visual Analysis -- 21.3 Result Analysis -- 21.4 Conclusion -- References -- 22 Research on the Adaptive Matching Mechanism of Graphic Design Elements Based on Visual Communication Technology -- 22.1 Introduction -- 22.2 Method -- 22.2.1 Hardware Design -- 22.2.2 Software Design -- 22.3 Result Analysis -- 22.4 Conclusion -- References. , 23 Design of Intelligent Recognition English Translation Model Based on Improved Machine Translation Algorithm.

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 -- 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.

Note: 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.