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 -- 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.

Anmerkung: Intro -- Contents -- About the Editors -- Chapter 1: Cerebral Stroke: An Introduction -- 1.1 Introduction -- 1.2 Types of Stroke -- 1.2.1 Ischemic Stroke -- 1.2.2 Hemorrhagic Stroke -- 1.2.3 Transient Ischemic Attack -- 1.3 Stroke Pathophysiology -- 1.4 Current Treatment Option for Stroke Patients -- 1.5 Neuroprotective Agents in Preclinical and Clinical Trials -- 1.6 Stroke-Induced BBB Disruption -- 1.7 Ischemic Stroke-Induced ER Stress -- 1.8 The Emerging Role of mi-RNA in Stroke Pathophysiology -- 1.9 Neuroprotective Potential of Low-Frequency Electromagnetic Field -- 1.10 Stem Cell Therapies for Cerebral Stroke -- 1.11 Conclusion -- References -- Chapter 2: Inflammation, Oxidative Stress, and Cerebral Stroke: Basic Principles -- 2.1 Introduction -- 2.2 Inflammation -- 2.3 Inflammatory Role of Cytokines and Chemokines During Cerebral Stroke -- 2.4 Oxidative Stress -- 2.5 Treatment Strategy for Stroke -- 2.5.1 Targeting Antioxidant Enzyme as a Therapeutic Strategy for Ischemic Stroke -- 2.5.2 Regulation of Microglial Activation in Stroke -- 2.5.3 Targeting the Cholinergic Anti-inflammatory Pathway -- References -- Chapter 3: Stroke Induced Blood-Brain Barrier Disruption -- 3.1 Introduction -- 3.2 BBB Anatomy -- 3.3 BBB Junctional Complexes -- 3.3.1 Adherens Junctions (AJs) -- 3.3.2 Tight Junctions (TJs) -- 3.3.3 Gap Junctions -- 3.3.3.1 Junctional Adhesion Molecule (JAM) -- 3.3.3.2 Occludin -- 3.3.3.3 Claudins -- 3.3.4 Membrane-Associated Guanylate Kinase (MAGUK)-Like Proteins -- 3.3.5 Accessory Proteins -- 3.4 Calcium Modulation of TJ and TJ Proteins -- 3.5 Phosphorylation: A Novel Regulatory Mechanism of TJ Proteins -- 3.6 Impairment of BBB Integrity in Neuropathological Disorder -- 3.6.1 Alteration of BBB Integrity in Stroke Injury -- 3.7 Evaluation of BBB Disruption in Rodent Ischemic Stroke. , 3.8 Quantitative Evaluation of BBB in Ischemic Stroke Using Dynamic Contrast-Enhanced (DCE) MRI -- 3.9 Conclusion -- References -- Chapter 4: Ischemic Stroke-Induced Endoplasmic Reticulum Stress -- 4.1 Introduction -- 4.2 ER Stress, UPR, and Ischemia -- 4.2.1 Components of UPR in Ischemia -- 4.2.1.1 GRP78 -- 4.2.1.2 PERK -- 4.2.1.3 ATF6 -- 4.2.1.4 IRE1 -- 4.3 Chronic ER Stress, UPR, and Pro-apoptotic Signaling in IR Injury -- 4.3.1 CHOP -- 4.3.2 Caspase 12 -- 4.3.3 JNK -- 4.4 ER Stress and Autophagy in IR Injury -- 4.5 ER Stress and miRNAs in IR Injury -- 4.6 Conclusion -- References -- Chapter 5: The Role of Autophagy in Ischaemic Stroke: Friend or Foe? -- 5.1 Introduction -- 5.2 Pathophysiology of Ischaemic Stroke -- 5.3 Various Animal Models to Study IS -- 5.3.1 Intra-arterial Suture Middle Cerebral Arterial Occlusion Model -- 5.3.2 Craniotomy Model -- 5.3.3 Photothrombosis Model -- 5.3.4 Endothelin-I Model -- 5.3.5 Clot Embolic Model of Stroke -- 5.4 Autophagy and Its Machinery -- 5.5 Autophagy and Its Role in Cerebral Ischaemia -- 5.5.1 Autophagy Activation in Ischaemic Stroke Protects Neurons -- 5.5.2 Autophagy Is Also Responsible for Neuronal Death After Ischaemic Stroke -- 5.5.3 Degree of Autophagy Is Critical in Ischaemic Stroke -- 5.5.4 Autophagy Contributes to Ischaemic Tolerance After Preconditioning -- 5.5.5 Autophagy May Be Disrupted During Ischaemia -- 5.6 Concluding Remarks -- References -- Chapter 6: Critical Role of Mitochondrial Autophagy in Cerebral Stroke -- 6.1 Introduction -- 6.2 Autophagy -- 6.3 Nonselective Autophagy and Mitophagy -- 6.4 Mitochondria Dynamics: Fission and Fusion of Mitochondria -- 6.5 Molecular Mechanisms of Mitophagy -- 6.6 Mitophagy in Cerebral Ischemia -- 6.7 Effect of Cerebral Ischemia in Mitochondrial Dynamic Mediators -- 6.8 Mitophagy Regulation: An Anti-inflammation Approach in Cerebral Ischemia. , 6.9 Mitophagy Regulation: A Neuroprotective Approach in Cerebral Ischemia -- 6.10 Conclusion -- References -- Chapter 7: Application of Neuroimaging Tools in Identification of Pinpoint Location of Blockage -- 7.1 Introduction -- 7.2 Neuroimaging Modalities for Stroke Detection -- 7.3 Hardware-Based Imaging Modalities -- 7.3.1 Computed Tomography (CT) -- 7.3.2 Magnetic Resonance Imaging(MRI) -- 7.3.3 Microwave-Based Imaging(MW) -- 7.3.4 Single-Photon Emission Computed Tomography (SPECT) -- 7.3.5 Positron Emission Tomography (PET) -- 7.3.6 Cranial Ultrasound -- 7.4 Software-Based Image Processing Modalities -- 7.4.1 Image Filtering -- 7.4.2 Image Enhancement -- 7.4.3 Image Segmentation -- 7.4.4 Image Compression -- 7.5 Computer-Aided Automatic Detection -- 7.5.1 Graphical User Interface Based (GUI) -- 7.5.2 Computer-Aided Algorithm-Based Detection -- 7.6 Comparison of Neuroimaging Modalities -- 7.7 Conclusion -- References -- Chapter 8: Emerging Role of Electromagnetic Field Therapy in Stroke -- 8.1 Introduction -- 8.2 Importance of Electromagnetic Therapy -- 8.3 Physical Basis of the Generation of a Magnetic Field -- 8.3.1 Stationary Magnetic Field -- 8.3.2 Pulsed Electromagnetic Field -- 8.4 Primary Biological Effects of Magnetic Fields -- 8.4.1 Cell Proliferation and Cell Cycle Regulation -- 8.4.2 Genotoxic Effects -- 8.4.3 Effects on Cellular Membrane Permeability -- 8.5 Role of Electromagnetic Therapy in Ischemic Stroke -- 8.6 Conclusion -- Basic Terminology -- References -- Chapter 9: Stem Cell-Based Therapy for Ischemic Stroke -- 9.1 Introduction -- 9.2 Stem Cell Transplantation for Stroke -- 9.3 Neural Stem Cells -- 9.4 Embryonic Stem Cells -- 9.5 Mesenchymal Stem Cells -- 9.5.1 Bone Marrow-Derived Mesenchymal Stem Cells -- 9.5.2 Adipose Mesenchymal Stem Cells -- 9.5.3 Human Umbilical Cord Mesenchymal Stem Cells. , 9.5.4 Menstrual Blood-Derived Mesenchymal Stem Cells -- 9.6 Hematopoietic Stem Cells -- 9.7 Inducible Pluripotent Stem Cells -- 9.7.1 Reprogramming Methods for Human Somatic Cells into iPSCs -- 9.8 Preconditioning Strategy in Stem Cell Transplantation Therapy -- 9.9 Conclusion -- References -- Chapter 10: Emerging Role of microRNAs in Cerebral Stroke Pathophysiology -- 10.1 Introduction -- 10.2 MicroRNA Biogenesis -- 10.3 Current Therapy and the Possible Role of miRNA in Neuroprotection -- 10.4 Development of Therapeutic Approaches Using miRNA Mimics and Inhibitors -- 10.5 Techniques for miRNA Expression Analysis -- 10.6 Computational Target Gene Prediction -- 10.7 Experimental Approaches to miRNA Target Validation -- 10.8 miRNA as a Prognostic Biomarker in Ischemic Stroke -- 10.9 Circular RNA -- References -- Chapter 11: Therapeutic Aspects of Nanomedicines in Stroke Treatment -- 11.1 Introduction -- 11.2 Secondary Neuronal Damage After Stroke and BBB Breakdown -- 11.3 Existing Treatment of Stroke -- 11.4 Drug Delivery Through BBB During Stroke -- 11.5 NP-Based Drug Delivery -- 11.6 NP-Based Chemical Agents -- 11.7 A Hope: NPs as a Diagnostic Tool in Stroke -- 11.8 Composition of Nanocarrier Used in Stroke Therapy -- 11.9 Lipid Nanoparticles -- 11.10 Polymer Carriers -- 11.10.1 Inorganic-Based Nanocarriers -- 11.11 Nanocarriers-Based Thrombolytic Therapy: Preclinical Development -- 11.12 Streptokinase -- 11.13 Nanocarriers Loaded with SK -- 11.14 Urokinase (UK) -- 11.15 Urokinase-Loaded Nanocarriers -- 11.16 Tissue Plasminogen Recombinant (tPA, rtPA) -- 11.17 rtPA-Loaded Nanocarriers -- 11.18 Conclusion -- References -- Chapter 12: Neuroprotective Potential of Small Molecule Phytochemicals in Stroke Therapy -- 12.1 Introduction -- 12.2 Role of Molecular Mediators in Apoptotic, Necrotic, and Necroptotic Neuronal Cell Death. , 12.3 Impact of Neurodegeneration in Neurological Disorders Including Stroke -- 12.4 Small Molecule Bioactive Phytochemicals as Neuroprotective Agents in Ischemic Stroke -- 12.4.1 Flavonoids -- 12.4.2 Terpenoids -- 12.4.3 Alkaloids -- 12.4.4 Withanolides -- 12.5 Conclusion -- References -- Chapter 13: Post-Stroke Treatment Strategies, Management, and Rehabilitation: Where We Stand? -- 13.1 Introduction -- 13.2 Types of Stroke -- 13.3 Treatments -- 13.3.1 In hospital -- 13.3.1.1 Thrombolysis -- 13.3.1.1.1 Intravenous Thrombolytic Therapy -- 13.3.1.1.2 Intra-arterial Thrombolysis -- 13.3.1.2 Aspirin Treatment -- 13.3.1.3 Therapeutic Hypothermia -- 13.3.1.4 Blood Pressure Management -- 13.3.1.5 Antiplatelet Strategies -- 13.3.1.6 Surgery for Cerebral Edema -- 13.3.1.7 Antithrombotic Therapy -- 13.3.2 Post-discharge -- 13.3.2.1 Lifestyle Physical Activity -- 13.3.2.1.1 Smoking -- 13.3.2.1.2 Alcohol -- 13.3.2.1.3 Diet -- 13.3.2.1.4 Physical Activity -- 13.3.2.2 Blood Glucose Management -- 13.3.2.3 Cholesterol Management -- 13.3.2.4 Blood Pressure Management -- 13.3.2.5 Anticoagulation and Antiplatelet Therapy -- 13.3.2.6 Herbal Neuroprotective Intervention -- 13.4 Limitations of Treatment -- 13.5 Conclusion -- References.

Anmerkung: Intro -- Preface -- Contents -- About the Editors -- Mechatronics -- 1 Simulation of Off-Wheel Problem of Triangle Tracked Vehicle Based on RecurDyn -- Abstract -- 1 Introduction -- 2 Structure and Relevant Technical Parameters of Triangular Track -- 3 Simulation Test -- 3.1 Virtual Prototype Modeling -- 3.2 Simulation Test on off-Wheel Problem of Track -- 3.3 Simulation Test on Vehicle S Bend -- 4 Conclusion -- References -- 2 Brief Design Requirements of Screen Printing Stencil -- Abstract -- 1 Introduction -- 2 Stencil Design -- 2.1 Frame Design of Circuit Board Stencil -- 2.2 Design of Stencil Tension Net -- 2.3 Mark Point Design of Stencil -- 2.4 Aperture Design of Stencil -- 2.5 Thickness Design of Stencil -- 3 Requirements for Opening Size and Shape of Stencil -- 3.1 Chip Components-Resistors, Inductors, Capacitors -- 3.2 Power MOSFET -- 3.3 QFP, SOP, QFN, IC -- 3.4 BGA -- 4 Conclusion -- References -- 3 Review of Improved Collaborative Filtering Recommendation Algorithms -- Abstract -- 1 Introduction -- 2 Overview of Traditional Collaborative Filtering Algorithms -- 2.1 User-Based Collaborative Filtering Recommendation Algorithm -- 2.2 Item-Based Collaborative Filtering Recommendation Algorithm -- 2.3 Model-Based Collaborative Filtering Recommendation Algorithm -- 3 Improvement and Application of Collaborative Filtering Algorithm -- 3.1 The New Theory Is Introduced into Collaborative Filtering -- 3.2 Data Dynamic Analysis Combined with Collaborative Filtering -- 3.3 Combination of Data Rule Mining and Collaborative Filtering -- 4 Conclusion -- References -- 4 A Preliminary Study on the Application of Computer Technology in Physical Education -- Abstract -- 1 Introduction -- 2 Design of Instructional Model of Autonomous Physical Education Based on Computer Technology -- 2.1 Part Before Class -- 2.2 Part in Class -- 2.3 Part After Class. , 3 Application Analysis of Physical Education Teaching Model Based on Computer Technology -- 3.1 Experimental Subject -- 3.2 Experimental Procedure -- 3.3 Experimental Method -- 3.4 Experimental Result -- 4 Conclusion -- References -- Intelligent Systems -- 5 Design of Archives Management System for Teaching -- Abstract -- 1 Introduction -- 2 Requirement Analysis of System and Database Design -- 2.1 Requirement Analysis -- 2.2 System Functional Structure Design -- 2.3 Database Design -- 3 System Function Realization -- 3.1 Login Module Design -- 3.2 Registration Module Design -- 4 System Test and Operation Result Analysis -- 5 Conclusion -- Acknowledgements -- References -- 6 An Algorithm for Distinguishing Between Speech and Music -- Abstract -- 1 Introduction -- 2 Audio-Related Features -- 3 Algorithm Steps -- 4 Experimental Result -- 5 Summary -- Acknowledgements -- References -- 7 Research on Multiple Overlapping Speakers Number Recognition Based on X-Vector -- Abstract -- 1 Introduction -- 2 Approach -- 2.1 X-Vector -- 2.2 Data Preprocessing -- 2.3 Improving of Feature Extraction -- 3 Experimental Results -- 4 Conclusions -- References -- 8 Discussion on Production Technology and Testing Technology of 1553B Bus Cable Net for Satellite -- Abstract -- 1 Introduction -- 2 Composition of 1553B Bus Cable -- 2.1 1553B Cable Structure -- 2.2 Composition of 1553B Bus Cable -- 3 1553B Bus Cable Network Assembly Process -- 4 1553B Bus Cable Network Installation Quality Test -- 4.1 Bus Cable Net Appearance Inspection -- 4.2 1553B Bus Cable Network Static Performance Test -- 4.3 1553B Bus Cable Network Dynamic Performance Test -- 5 Conclusion -- References -- 9 Feasibility Analysis of Venture Capital Committee in the Innovative Design of Class Management in Colleges and Universities -- Abstract -- 1 Introduction. , 2 Major Pain Points of Class Management in Colleges and Universities -- 2.1 Different Opinions About Head Teacher's Impact on Class -- 2.2 Weak Initiative of Class Cadre -- 2.3 A General Lack of Class Fee -- 2.4 Little Contact with Classes After Graduation -- 3 Pain Points Analysis of Class Management in Colleges and Universities -- 3.1 Urgent Need of System Construction Innovation -- 3.2 Difference in Value Proposition -- 3.3 Foundation -- 3.4 Repulsion and Practical Difficulties -- 4 Innovative Design of Class Management in Colleges and Universities -- 4.1 Description of Class Management Tools -- 4.2 The Feasibility Analysis of Innovative Design -- 5 Conclusions -- Acknowledgements -- References -- 10 A Survey and Study on Satisfaction and Influencing Factors Using Ant Credit Pay via Intelligent Processing -- Abstract -- 1 Introduction -- 2 Literature Review -- 3 Data Analysis Method and Theoretical Basis -- 3.1 Chi-Square Test Principle -- 3.2 Principle of Correlation Analysis -- 3.3 Satisfaction Principle -- 3.4 Establishing the Satisfaction Index System -- 4 Analysis on the Satisfaction and Influencing Factors -- 4.1 Reliability Analysis and Validity Analysis of Data -- 4.2 Analysis of College Students' Satisfaction with Using "Ant Credit Pay" -- 4.3 Analysis of College Students' Satisfaction -- 4.4 Analysis of Influencing Factors -- 5 Some Suggestions -- 5.1 Individual Consumption Needs to Be Tailored -- 5.2 Pay Attention to Self-credit and Enhance Self-protection Consciousness -- 5.3 Appropriately Reduce the Withdrawal Procedure Rate and Expand the Use of "Ant Credit Pay" in Daily Life -- References -- 11 A Review on Main Optimization Method of ALBERT in Natural Language Processing -- Abstract -- 1 Introduction -- 2 Recent Development -- 3 Solve the Problem of Insufficient Text Word Vector Learning by Classifying the Output Features of ALBERT. , 4 Solve the Problem of Gradient Explosion and Disappearance in the Process of Long Text Training by Combining the Bi-LSTM Model -- 5 By Combining CRF Model to Better Recognize Long Texts -- 6 By Combining the BiGRU Model to Maximize the Preservation of the Semantic Association of Word Vectors in Long Texts -- 7 Conclusion -- References -- 12 Study on the Influencing Factors of Customer Loyalty in Large Smart Home Furnishing Stores -- Abstract -- 1 Introduction -- 2 Related Theory of Influencing Factors of Customer Loyalty -- 2.1 Experience Marketing -- 2.2 Customer Satisfaction -- 2.3 Measurement of Customer Loyalty -- 3 Establishment of Influencing Factor Model of Customer Loyalty -- 3.1 Selection of Modeling Dimension -- 3.2 Research Hypothesis -- 3.3 Description of Research Model -- 4 Data Analysis on Influencing Factors of Customer Loyalty -- 4.1 Reliability Test -- 4.2 Correlation Analysis -- 4.3 Regression Analysis -- 5 Summary -- References -- 13 A Detection Algorithm of Lung Nodule Based on Faster R-CNN -- Abstract -- 1 Introduction -- 2 Deep Learning Detection Framework and Faster R-CNN -- 2.1 Feature Extraction Network -- 2.2 RPN -- 2.3 ROI Pooling -- 2.4 Classifier -- 3 Pulmonary Nodule Detection Network -- 3.1 Improvement of Feature Extraction Network -- 3.2 Modify Anchors -- 4 Experimental Data and Result Verification -- 4.1 Dataset -- 4.2 Evaluation Criterion -- 4.3 Experimental Result -- 5 Conclusion -- References -- 14 Information Extraction from Contract Based on BERT-BiLSTM-CRF -- Abstract -- 1 Introduction -- 2 Related Research -- 3 Algorithm Model -- 3.1 Contract-Based Language Model (BERT) -- 3.2 BiLSTM-CRF Method Based on Migration Optimization -- 4 Test Results and Analysis -- 5 Concluding Remarks -- References -- 15 Research on Linear Detection Technology for Massive MIMO in Wireless Communications -- Abstract. , 1 Introduction -- 2 Model of Massive MIMO Uplink System -- 3 Linear Detection Algorithm for Massive MIMO System -- 3.1 Linear Detection Algorithm -- 3.1.1 Maximum Ratio Combining Algorithm (MRC) -- 3.1.2 Zero-Forcing Algorithm (ZF) -- 3.1.3 Minimum Mean Square Error Detection Algorithm (MMSE) -- 3.2 Simulation -- 4 Conclusion -- References -- 16 Research on Intelligent Reconfiguration and Recognition Technology of Mobile Environment for Substation Operation -- Abstract -- 1 Introduction -- 2 Object Scanning and Modeling -- 3 Modeling and Scanning Modeling of Dynamic Complex Environment -- 4 Weak Supervision Instance Segmentation of Substation Equipment Based on RGB-T Self Labeling -- 5 Model Compression and Acceleration for Edge Devices -- 6 Research and Development of Environment Intelligent Reconfiguration and Recognition Prototype System for Mobile Side Software and Hardware Platform -- 7 Conclusion -- References -- 17 Development and Application of Power Grid Disaster Intelligent Perception and Emergency Command System -- Abstract -- 1 Introduction -- 2 Electric Power Disaster Emergency Situation Map and 3D Visual Command Technology -- 3 Research and Development of Power Grid Disaster Intelligent Perception and Emergency Command Prototype System -- 4 Conclusions -- Acknowledgements -- References -- 18 Research on State Perception of Power Grid Equipment Based on Intelligent Analysis of Multi-Spectral Data -- Abstract -- 1 Introduction -- 2 Feature Distribution and Time-Domain Correlation of PoWer Equipment Status Under Different Spectrums -- 3 Online Monitoring and Fault Warning of Electrical Equipment Status of Stations and Transmission Lines -- 4 Establish a Sample Library of Power Equipment Faults Based on Three-Light Fusion Imaging -- 5 Comprehensive Evaluation Method of Multi-Spectral Data Analysis Model -- 6 Conclusions -- Acknowledgements. , References.

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

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

Anmerkung: Intro -- Preface -- Acknowledgements -- About the Book -- Contents -- About the Editors -- 1 Research on SaaS-Based Mine Emergency Rescue Preplan and Case Management System -- Abstract -- 1 Introduction -- 2 SaaS and Service-Oriented Architecture -- 3 The Architecture of System -- 4 The Components of System -- 5 System Implementation and Testing -- 6 Conclusion -- Acknowledgements -- References -- 2 An Investigation of Matching Approaches in Fingerprints Identification -- Abstract -- 1 Introduction -- 2 Research Method -- 2.1 Research Questions -- 2.2 Research Strategies -- 3 Fingerprints Matching Approaches -- 3.1 Taxonomy of the Study -- 3.2 Generic Process of Three Main Types of Fingerprints Matching -- 4 Current Issues of the Matching Approaches -- Acknowledgements -- References -- 3 Figure Plagiarism Detection Using Content-Based Features -- Abstract -- 1 Introduction -- 2 Content-Based Feature Extraction -- 3 Similarity Detection -- 4 Result and Evaluation -- 5 Conclusions -- Acknowledgements -- References -- 4 An Efficient Content-Based Image Retrieval (CBIR) Using GLCM for Feature Extraction -- Abstract -- 1 Introduction -- 2 Proposed System -- 2.1 Preprocessing Phase -- 2.2 Feature Extraction Phase -- 3 Methodology -- 4 Similarity Feature Extraction -- 5 Algorithm for GLCM -- 6 Results and Discussion -- 7 Comparative Analysis -- 8 Conclusions -- References -- 5 Emotion Recognition System Based on Facial Expressions Using SVM -- Abstract -- 1 Introduction -- 2 Related Works -- 3 Emotion Recognition -- 3.1 Image Preprocessing -- 3.2 Feature Extraction -- 3.3 Feature Selection -- 3.4 Expression Recognition -- 3.5 Experiments Results -- 4 Conclusion -- References -- 6 An AES-CHAOS-Based Hybrid Approach to Encrypt Multiple Images -- Abstract -- 1 Introduction -- 1.1 Fast Chaotic Algorithm -- 1.2 AES Image Encryption -- 1.3 Cramer's Rule. , 2 Literature Review -- 3 Proposed Algorithm -- 4 Results -- 5 Conclusion -- References -- 7 Automatic Text Summarization of Video Lectures Using Subtitles -- Abstract -- 1 Introduction -- 2 Proposed System -- 2.1 Proposed Architecture -- 2.1.1 Data Preprocessing -- 2.1.2 Feature Selection for Summarization -- 2.1.3 Processing After Feature Selection for Summarization -- 3 Conclusion -- References -- 8 Classification of EMG Signals Using ANFIS for the Detection of Neuromuscular Disorders -- Abstract -- 1 Introduction -- 2 Proposed Model -- 2.1 Preprocessing of the EMG Signal -- 2.2 Processing or Feature Extraction of EMG Signal -- 2.3 Classification of EMG Signal -- 3 Results and Analysis -- 4 Conclusion -- References -- 9 Evaluating Similarity of Websites Using Genetic Algorithm for Web Design Reorganisation -- Abstract -- 1 Introduction -- 2 Web Mining-A Background -- 2.1 Web Mining Taxonomy -- 2.2 Web Mining Tasks -- 3 Literature Survey -- 4 Proposed Methodology -- 5 Experimental Evaluation -- 5.1 Proposed Genetic Algorithm -- 5.2 Computation of Similarity -- 6 Conclusion -- References -- 10 Fusion of Misuse Detection with Anomaly Detection Technique for Novel Hybrid Network Intrusion Detection System -- Abstract -- 1 Introduction -- 2 Proposed Hybrid Intrusion Detection Methodology -- 2.1 Feature Preparation Module -- 2.2 Misuse Analyzer Module -- 2.3 Anomaly Analyzer Module -- 3 Simulation Results -- 4 Conclusion -- References -- 11 Analysis of Reconfigurable Fabric Architecture with Cryptographic Application Using Hashing Techniques -- Abstract -- 1 Introduction -- 2 Methodology -- 3 Implementation of Reconfigurable Fabric -- 4 Interconnect Topologies -- 5 Operation -- 6 Results -- 6.1 Hashing Function -- 7 Conclusion -- References -- 12 Privacy Preservation of Infrequent Itemsets Mining Using GA Approach -- Abstract -- 1 Introduction. , 2 Literature Survey -- 3 Problem Definition -- 4 Proposed Framework -- 5 Proposed Algorithm -- 5.1 Illustrated Example -- 6 Result Analysis -- 7 Conclusion -- References -- 13 A Quinphone-Based Context-Dependent Acoustic Modeling for LVCSR -- Abstract -- 1 Introduction -- 2 Working of ASR -- 3 Phonetic Representation of Speech Signals -- 3.1 Modeling Using Monophones -- 3.2 Modeling Using Triphones -- 3.3 Modeling Using Quinphones -- 4 Implementation -- 4.1 Speech Data Preparation -- 4.2 Training -- 4.3 ASR Performance Analysis -- 5 Experiments -- 5.1 Testing with Varying Vocabulary Sizes -- 5.2 Testing with Varying Gaussian Mixtures -- 6 Conclusion -- References -- 14 Slot-Loaded Microstrip Antenna: A Possible Solution for Wide Banding and Attaining Low Cross-Polarization -- Abstract -- 1 Introduction -- 2 Theoretical Background -- 3 Proposed Structure -- 4 Results and Discussions -- 5 Conclusions -- Acknowledgements -- References -- 15 Fractal PKC-Based Key Management Scheme for Wireless Sensor Networks -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 3.1 System Model -- 3.2 Fractal-based Key Pair Generation and Key Exchange -- 4 Fractal PKC-based Key Management Scheme: FPKM -- 4.1 Set-up Phase -- 4.2 Clustering Phase -- 4.3 Rekeying Phase -- 5 The Performance Evaluation of Proposed Scheme -- 6 Conclusion -- References -- 16 Histogram-Based Human Segmentation Technique for Infrared Images -- Abstract -- 1 Introduction -- 2 The Proposed Method -- 2.1 Selection of ROIs -- 2.2 Human Candidates Segmentation -- 3 Experiment Results -- 4 Conclusion -- References -- 17 Medical Image Segmentation Based on Beta Mixture Distribution for Effective Identification of Lesions -- Abstract -- 1 Introduction -- 2 Probability Distribution Functions of Beta Mixture Model Using the EM Algorithm -- 3 Clustering Algorithm Based on Fuzzy c-Means. , 4 Dataset -- 5 Segmentation Algorithm -- 5.1 Experimentation -- 6 Results Derived and Performance Analysis -- 7 Conclusion -- References -- 18 Toward Segmentation of Images Based on Non-Normal Mixture Models Based on Bivariate Skew Distribution -- Abstract -- 1 Introduction -- 2 Bivariate Skew Gaussian Mixture Model -- 3 k-Means Algorithm -- 4 Data Set Considered -- 5 Feature Selection -- 6 Experiment Result and Performance Evolution -- 7 Conclusion -- References -- 19 Development of Video Surveillance System in All-Black Environment Based on Infrared Laser Light -- Abstract -- 1 Introduction -- 2 Design of Video Capture System -- 2.1 IR Laser Aiding Light Module -- 2.2 Photoelectric Sensor Module -- 2.3 Central Control Module -- 3 System Testing -- 4 Conclusion -- Acknowledgements -- References -- 20 Data Preprocessing Techniques for Research Performance Analysis -- Abstract -- 1 Introduction -- 2 Literature Review -- 2.1 Business Intelligence -- 2.2 Data Preprocessing -- 3 Research Performance Analysis -- 3.1 Data Preprocessing Approach -- 4 Conclusion -- Acknowledgements -- References -- Author Index.

Anmerkung: Intro -- Preface -- Contents -- About the Editors -- Internet of Things (IOT) -- An Energy-Efficient Data Routing in Weight-Balanced Tree-Based Fog Network -- 1 Introduction -- 1.1 Fog Computing -- 1.2 Tree-Based Architecture -- 1.3 Data Routing -- 1.4 Green Computing -- 2 Related Works -- 3 Proposed Architecture Towards Fog Networks -- 4 Discussions -- 5 Conclusions and Future Work -- References -- A Systematic Overview of Fault Tolerance in Cloud Computing -- 1 Introduction -- 2 Basic Components of Cloud Computing -- 3 Characteristics of Cloud Computing -- 4 Cloud Deployment Models -- 5 Cloud Service Models -- 6 Fault Tolerance -- 7 Fault Tolerance in Cloud Computing -- 7.1 Fault Tolerance Approaches -- 7.2 Fault Tolerance Parameters -- 8 Conclusion -- References -- An EPIC Mechanism for Advertising the Tourist Spots in Smart Cities -- 1 Introduction -- 2 Related Works -- 3 System Model and Problem Formulation -- 4 Tourist Spots Advertisement Problem: Posted Price Mechanism -- 4.1 Outline of PPM-TSAP -- 4.2 Detailing of PPM-TSAP -- 4.3 Illustrative Example -- 4.4 Running Time of PPM-TSAP -- 5 Conclusion and Future Work -- References -- Data Analysis and Prediction of Terror Component Using Web Services -- 1 Introduction -- 2 Background -- 2.1 Intrusion Detection System (IDS) -- 2.2 Vector Space Model -- 2.3 Receiver Operator Characteristic (ROC) Curve -- 3 Content-Based Detection of Terror-Related Activity -- 3.1 Detection Environment -- 4 Detection of Typical Terrorist Behavior -- 5 Experimental Settings -- 5.1 Evaluation Measure -- 6 Result Summarization -- 7 Deployment Issues -- 8 Conclusion -- References -- Facial Expression Recognition System (FERS): A Survey -- 1 Introduction -- 2 Related Work -- 3 Dataset Used -- 4 Discussion and Comparison of Results -- 5 Conclusion -- References. , Load Balancing of Tasks in Cloud Computing Using Fault-Tolerant Honey Bee Foraging Approach -- 1 Introduction -- 2 Literature Review -- 2.1 Load Balancing in Cloud Computing -- 2.2 Fault Tolerance in Cloud Computing -- 2.3 Honey Bee Behaviour Inspired Load Balancing -- 2.4 Motivation -- 3 Proposed Work and Implementation -- 4 Conclusion and Future Work -- References -- Flip Learning: A Novel IoT-Based Learning Initiative -- 1 Introduction -- 2 Related Works -- 3 Level-Based Approach -- 3.1 Collaborative Learning Within the Campus -- 3.2 Middle Product -- 3.3 Customized Learning Out of the Campus -- 4 Technical Aspects -- 4.1 Mix of IoT and Cloud -- 4.2 Information Management Framework -- 4.3 Content Delivery Network -- 4.4 Use of AI -- 4.5 Virtual and Augmented Reality -- 4.6 Data Security in Network -- 5 Conclusion -- References -- Improvement of Load Balancing in Shared-Memory Multiprocessor Systems -- 1 Introduction -- 2 Overview on Prior Algorithms and Techniques -- 2.1 Static Scheduling -- 2.2 Dynamic Scheduling -- 3 Result and Discussion -- 3.1 The Mandelbrot Set [3] -- 4 Conclusion -- References -- Building Amazon Web Services Infrastructure from the Scratch for an Organization -- 1 Introduction -- 2 Proposed Work and Implementation -- 3 Conclusion and Future Work -- References -- Fault Detection for VANET Using Vehicular Cloud -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Work -- 4 Simulation Result and Discussion -- 5 Conclusion and Future Scope -- References -- An Approach to Cohort Selection in Cloud for Face Recognition -- 1 Introduction -- 2 Literature Survey -- 3 Architecture of the Proposed Approach -- 4 Cohort Selection Mechanism -- 4.1 Feature Extraction -- 4.2 Finding of Match Score -- 5 Database and Results -- 6 Conclusion -- References. , Internet of Things (IoT) Framework Deployment Template for Cloud-Based Harbor Surveillance and Ferry Monitoring System -- 1 Introduction -- 2 Proposed System -- 3 Model Building -- 3.1 Data Set and Test -- 4 Discussions -- 5 Conclusion -- References -- Art of Style Transfer Using Convolutional Neural Network: A Deep Learning Approach -- 1 Introduction -- 2 Materials and Methods -- 2.1 Dataset Used -- 2.2 Model for Image Classification -- 2.3 Convolutional Neural Network Training Process for Style Transfer -- 3 Experimental Results -- 3.1 Experimental Steps -- 4 Conclusion and Findings -- References -- Impact of Internet of Things (IoT) on 5G -- 1 Introduction -- 2 IoT Challenges -- 3 5G Challenges -- 4 5G Characteristics and Their Values/Applications -- 4.1 5G on IoT: A Single Network for Millions of Applications -- 4.2 The Importance of 5G on the IoT -- 4.3 Application of 5G Over IoT -- 5 The Impact of 5G on IoT -- 5.1 Establishing a 5G-IoT Ecosystem -- 5.2 Future of IoT -- 5.3 Aspects of IoT on Updated 5G Technologies -- 6 Conclusion -- References -- Prediction of Exchange Rate in a Cloud Computing Environment Using Machine Learning Tools -- 1 Introduction -- 2 Machine Learning Techniques Used for Prediction Modeling Data -- 2.1 Linear Regression -- 2.2 Regression Trees -- 2.3 Decision Tree Regression -- 2.4 Boosted Trees Regression -- 2.5 Random Forest Regression -- 2.6 Neural Network Regression -- 2.7 Cloud Computing Tools -- 3 Experimental Works -- 3.1 Data set Analysis -- 3.2 Result Analysis -- 4 Conclusion -- References -- Survey on Stock Price Forecasting Using Regression Analysis -- 1 Introduction -- 2 Literature Review -- 3 Regression -- 4 Regression Methodologies -- 4.1 Linear Regression -- 4.2 Polynomial Regression -- 4.3 Logistic Regression -- 4.4 Ridge Regression -- 4.5 Stepwise Regression -- 4.6 LASSO Regression. , 4.7 Elastic Net Regression -- 5 Conclusions -- References -- Intrusion Detection and Classification Using Decision Tree-Based Feature Selection Classifiers -- 1 Introduction -- 2 Intrusion Detection System -- 3 Data Mining-Based Approach -- 3.1 Decision Tree -- 3.2 Feature Selection -- 4 Dataset Used -- 5 Result Analysis -- 6 Conclusion -- References -- Role of Cloud Computing for Big Data: A Review -- 1 Introduction -- 2 Cloud Computing -- 2.1 Cloud Service Model -- 2.2 Cloud Deployment Model -- 2.3 Challenges and Issues of Cloud Computing -- 3 Big Data -- 3.1 Technologies Supported by Big Data -- 3.2 Challenges in Big Data -- 4 Conclusion -- References -- Role of Cloud Computing in Geotechnical Engineering -- 1 Introduction -- 2 Direct Role of Cloud Computing in Geotechnical Engineering -- 2.1 State-of-the-Art Cloud Computing -- 2.2 State of the Art Approaches for Geotechnical Cloud Computing -- 3 Cloud Computing and Parameter Identification Integrated in System Identification -- 3.1 System Identification -- 3.2 Component of SI -- 4 Inverse Analysis and Parameter Identification Supported by Cloud Computing -- 4.1 General Formulation of Parameter Identification Process -- 4.2 Inverse Analysis and Parameter Identification -- 5 Research Scope and Challenges -- 6 Conclusion -- References -- Energy-Efficient Clustering with Rotational Supporter in WSN -- 1 Introduction -- 2 Related Works -- 3 Proposed Method -- 3.1 Step 1-Clustering of Nodes -- 3.2 Step 2-Selection of CH -- 3.3 Step 3-Selection of NCH -- 3.4 Step 4-Selection of SCH -- 4 Simulation -- 5 Conclusion -- References -- A Review on Mobile Cloud Computing -- 1 Introduction -- 2 Need of MCC -- 3 Architecture -- 4 Background -- 4.1 Service Miniatures of MCC -- 4.2 Deployment Miniatures of MCC -- 5 Features of Mobile Cloud and Its Computing -- 5.1 Scalability -- 5.2 Mobility. , 5.3 Mobile Cyber Security with Privacy -- 5.4 Enhancing Reliability with Mobile Computing -- 5.5 Reduced Cost -- 5.6 Multiple Occupancy -- 5.7 Imbalance Web Transmission -- 6 Why Mobile Cloud Computing? -- 7 Issues in MCC -- 7.1 Scarcity of Mobile Appliances -- 7.2 Safety and Seclusion -- 7.3 Short Data Transferral Rate (Bandwidth) -- 7.4 Offloading -- 7.5 Quality of Communication and Broadcasting -- 8 Conclusion -- References -- Corroborating the Veracity of Body Fat Percentage and Classification of Sarcopenia Using Island Differential Evolution Algorithm -- 1 Introduction -- 2 Methodology -- 3 Optimization of the Formula and Techniques Used -- 4 Regression and Genetic Algorithm -- 5 Residuals and Goodness-of-Fit -- 6 Identification and Classification of Sarcopenia -- 7 Island Differential Evolution Algorithm -- 8 Results Obtained -- 9 Conclusion -- References -- Design of Compact Super-Wideband Monopole Antenna for Spectrum Sensing Applications -- 1 Introduction -- 2 Antenna Configuration -- 2.1 SWB QSCA -- 2.2 QSCA with Notch Bands -- 3 Results Discussion -- 4 Conclusion -- References -- Probabilistic and Distance-Aware Clustering Approach to Decrease the Effect of Hot Spot in WSN -- 1 Introduction -- 1.1 Wireless Sensor Network -- 1.2 WSN Challenges -- 1.3 Energy Efficiency -- 1.4 Clustering -- 1.5 LEACH -- 2 Distance Effect -- 2.1 Hot-Spot Effect -- 2.2 Residual-Energy-Based Clustering -- 3 Related Work -- 4 Proposed Protocol -- 5 Results -- 6 Conclusion -- References -- A Real-Time Sentiments Analysis System Using Twitter Data -- 1 Introduction -- 2 Literature Survey -- 3 Proposed System -- 3.1 Tweepy Stream Listener -- 3.2 Preprocessing -- 3.3 Sentimental Analysis -- 3.4 Representation -- 3.5 Tweet Storage -- 4 Case Studies -- 4.1 Qualifying 3-Spanish Grand Prix 2019 -- 4.2 Indian Election Results-2019 -- 5 Conclusion and Future Scope. , References.

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 -- 1 Prediction Based on Sentiment Analysis and Deep Learning -- 1.1 First Section -- 1.2 Benchmark Prediction -- 1.2.1 Capture Data of Stock Comments from www.guba.eastmoney.com [1] -- 1.2.2 Build a Model for False News Judgment -- 1.2.3 Test Stock Comments for False News -- 1.2.4 Build a Sentiment Classification Model for Stock Comment -- 1.2.5 Build an Index from the Analysis Results -- 1.2.6 Capture and Load Data -- 1.2.7 A Subsection Sample -- 1.3 Conclusion -- References -- 2 A Survey on Time Series Forecasting -- 2.1 Introduction -- 2.2 Traditional Machine Learning-Based Method -- 2.2.1 Feature Extraction -- 2.2.2 Feature Selection -- 2.2.3 Model Training -- 2.2.4 Rolling Time Series Forecasting -- 2.3 Deep Learning-Based Method -- 2.3.1 RNN -- 2.3.2 LSTM -- 2.3.3 GRU -- 2.4 Experiment Results -- 2.4.1 Machine Learning Results -- 2.4.2 Deep Learning Results -- 2.5 Conclusion -- References -- 3 Research and Development of Visual Interactive Performance Test Methods and Equipment for Intelligent Cockpit -- 3.1 Introduction -- 3.2 System Overview -- 3.2.1 Visual Bionic Robot -- 3.2.2 Main Case of Bionic Robot -- 3.2.3 Binocular High-Frame Camera -- 3.2.4 Software -- 3.3 Head Visual Tracking -- 3.3.1 Self-Stabilizing Function of the Head -- 3.3.2 High-Precision Servo Motor -- 3.3.3 Servo Encoder -- 3.3.4 Self-Stabilizing PID Algorithm for the Cradle Head -- 3.3.5 Precision Test of Self-Stabilizing Function of Head -- 3.4 System Effect -- 3.5 Conclusion -- References -- 4 Design and Validation of Automated Inspection System Based on 3D Laser Scanning of Rocket Segments -- 4.1 Introduction -- 4.2 3D Scanning Measurement Principle -- 4.2.1 Three-Dimensional Laser Scanning Equipment -- 4.2.2 Lifting Platform System -- 4.2.3 Checking Standard Device -- 4.2.4 Measurement Software Design. , 4.3 Measurement System Accuracy Verification -- 4.3.1 Verification of Length Splicing Accuracy -- 4.3.2 Verification of Geometric Element Detection Accuracy -- 4.4 Conclusion -- 4.5 Discussion -- References -- 5 Research and Implementation of Electric Equipment Connectivity Data Analysis Model Based on Graph Database -- 5.1 Introduction -- 5.2 Related Work -- 5.3 Research on the Method and Algorithm of Electric Data Modeling -- 5.3.1 Electric Data -- 5.3.2 Electric Data Modeling -- 5.4 Implementation of Electric Data Model Based on Graph Database -- 5.4.1 Electric Data Relation Processing -- 5.4.2 Implementation and Construction of Power Data Model -- 5.4.3 Electric Equipment Connectivity Analysis Based on Power Grid Data Model -- 5.5 Application Results -- References -- 6 Improving CXR Self-Supervised Representation by Pretext Task and Cross-Domain Synthetic Data -- 6.1 Introduction -- 6.2 Related Works -- 6.2.1 Overview of CXR Classification -- 6.2.2 Self-Supervision and Contrastive Learning -- 6.2.3 Pretext Task and Data Augmentation -- 6.3 Problem Definition -- 6.3.1 Contrastive Learning Pretext Task -- 6.3.2 Supervised Multi-class Linear Evaluation -- 6.4 Method -- 6.4.1 Selection of Candidate Transformations -- 6.4.2 XR-Augment -- 6.4.3 Pseudo-CXR Generation -- 6.5 Experiment -- 6.5.1 Data -- 6.5.2 Settings -- 6.5.3 Result and Analysis -- 6.6 Conclusion and Future Research -- References -- 7 Research on Dynamic Analysis Technology of Quantitative Control Oriented to Characteristics of Power Grid Digital Application Scenarios -- 7.1 Introduction -- 7.2 Quantitative Control Dynamic Analysis Technique -- 7.3 Dynamic Analysis of Quantitative Control of Power Network -- 7.4 Function Analysis of Power Grid Digitalization Project. , 7.5 Research on Influencing Factor Set of Target Feature Quantification in Digital Application Scene Based on Expert Scoring Method -- 7.6 Research on Quantitative Impact Index Set of Digital Application Scene Features Based on Fuzzy Analytic Hierarchy Process -- 7.7 Dynamic Identification Technology of Quantitative Control Based on Bayesian Network -- 7.8 Conclusion -- References -- 8 Research on Detection of Fungus Image Based on Graying -- 8.1 Introduction -- 8.2 Fungus Image Gray Processing -- 8.2.1 Graying of Fungus Pictures -- 8.2.2 Threshold Method -- 8.2.3 Problems with Testing -- 8.3 Realization of Single Chip Microcomputer -- 8.3.1 Selection of Single Chip Microcomputer -- 8.3.2 Total Process of Single Chip Microcomputer -- 8.3.3 Selection of Filter -- 8.3.4 Detection Function Module -- 8.4 Summary -- References -- 9 Secondary Frequency Regulation Control Strategy of Battery Energy Storage with Improved Consensus Algorithm -- 9.1 Introduction -- 9.2 Optimal Control Method of Secondary Frequency -- 9.2.1 Energy Storage Output Control Structure -- 9.2.2 Secondary Frequency Modulation Objective Function of Power Grid -- 9.3 Secondary Frequency Modulation Based on Consistency Algorithm -- 9.3.1 Iterative Calculation Method of Frequency Response Consistency -- 9.3.2 Double-Layer Cooperative Control of Secondary Frequency Modulation for Battery Energy Storage -- 9.4 Simulation Verification -- 9.5 Conclusions -- References -- 10 Application of Deep Learning for Registration Between SAR and Optical Images -- 10.1 Introduction -- 10.2 Methodology -- 10.2.1 Using CNN for Feature Extraction -- 10.2.2 Improved Euclidean Distance for Matching -- 10.3 Experimental Results and Analysis -- 10.4 Conclusion -- References -- 11 Research on Digital Architecture of Power Grid and Dynamic Analysis Technology of Digital Project -- 11.1 Introduction. , 11.2 Enterprise Middle Office Architecture -- 11.3 Architecture Design of Power Grid Digital Service -- 11.4 Architecture Design of Power Grid Digitalization Technology -- 11.5 Midrange Architecture of Power Grid Enterprises -- 11.6 Dynamic Construction and Calculation of Digital Project Evaluation Index Based on Grid Middle Platform Architecture -- 11.7 Conclusions -- References -- 12 Research on Characteristics and Architecture Application Technology of Power Grid Digital System -- 12.1 Introduction -- 12.2 Enterprise Architecture Theory -- 12.3 Research on Characteristics of Power Grid Digital System -- 12.4 Digital Architecture Design of Power Grid -- 12.5 Technical and Economic Dynamic Analysis of Digital Projects Based on Power Grid Architecture -- 12.6 Conclusion -- References -- 13 Investigation of Vessel Segmentation by U-Net Based on Numerous Datasets -- 13.1 Introduction -- 13.2 Introduction to Deep Learning U-Net Model -- 13.3 Construction and Training of U-Net Model -- 13.3.1 Datasets -- 13.3.2 Data Processing -- 13.3.3 Evaluation Indexes of the U-Net Model -- 13.4 Predictive Generation of Fundus Vessel Segmentation Images -- 13.5 Conclusion -- References -- 14 Design of License Plate Recognition System Based on OpenCV -- 14.1 Introduction -- 14.2 Experimental Principle -- 14.2.1 License Plate Location Method Based on License Plate Color -- 14.2.2 License Plate Location Method Based on Edge Detection -- 14.2.3 License Plate Correction Methods -- 14.2.4 Character Recognition Algorithm Based on Template Matching -- 14.3 Implementation and Results -- 14.3.1 License Plate Positioning Based on License Plate Color -- 14.3.2 License Plate Location Based on License Plate Edge Detection -- 14.3.3 Character Segmentation Method Based on Projection -- 14.3.4 SVM-Based Character Recognition Method -- 14.4 Conclusion -- References. , 15 Traveling Wave Solutions of the Nonlinear Gardner Equation with Variable-Coefficients Arising in Stratified Fluids -- 15.1 Introduction -- 15.2 Application of Trial Equation Method -- 15.3 Exact Solutions of Eq. (15.1) -- 15.4 Conclusions -- References -- 16 Research on the Construction of Food Safety Standards Training System Based on 3D Virtual Reality Technology -- 16.1 Introduction -- 16.2 Main Technologies of Foods Safety Standards Comprehensive Platform -- 16.2.1 3D Virtual Simulation Technology -- 16.2.2 Text Mining Technology -- 16.2.3 Knowledge Mapping Technology -- 16.3 Design of Foods Safety Standards Comprehensive Platform System -- 16.4 Functions of Foods Safety Standards Comprehensive Platform System -- 16.4.1 Foods Safety Standards Human Machine Interaction Question-Answering Subsystem -- 16.4.2 Intelligent Scene-Specific Foods Safety Standards Training and Implementation Evaluation Subsystem of Foods Safety Supervisors -- 16.4.3 Intelligent Scene-Specific Foods Safety Standards Training and Implementation Evaluation Subsystem of Foods Practitioners -- 16.4.4 Foods Safety Standards Knowledge Library Information-Based Management Subsystem -- 16.5 Conclusions -- References -- 17 Online Fault Diagnosis of Chemical Processes Based on Attention-Enhanced Encoder-Decoder Network -- 17.1 Introduction -- 17.2 LSTM Network -- 17.3 AEDN Method for Sequential Fault Diagnosis -- 17.4 Case Study on Benchmark Process -- 17.4.1 TE Process Dataset -- 17.4.2 Diagnostic Results and Discussion -- 17.5 Conclusion -- References -- 18 Micro-nano Satellite Novel Spatial Temperature Measurement Method and Experimental Study -- 18.1 Introduction -- 18.2 Temperature Measurement Principle on DS18B20 -- 18.3 A New Temperature Measurement Experiment of Micro-nano Satellite -- 18.3.1 Thermoscope System Design on DS18B20. , 18.3.2 Design of Temperature Measurement Cable Net.