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 -- 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 -- New Approaches for Hierarchical Image Decomposition, Based on IDP, SVD, PCA, and KPCA -- Intelligent Digital Signal Processing and Feature Extraction Methods -- Multi-dimensional Data Clustering and Visualization via Echo State Networks -- Unsupervised Clustering of Natural Images in Automatic Image Annotation Systems -- An Evolutionary Optimization Control System for Remote Sensing Image Processing -- Tissue Segmentation Methods Using 2D Histogram Matching in a Sequence of MR Brain Images -- Multistage Approach for Simple Kidney Cysts Segmentation in CT Images -- Audio Visual Attention Models in Mobile Robots Navigation -- Local Adaptive Image Processing -- Machine Learning Techniques for Intelligent Access Control -- Experimental Evaluation of Opportunity to Improve the Resolution of the Acoustic Maps -- Contents -- Contributors -- 1 New Approaches for Hierarchical Image Decomposition, Based on IDP, SVD, PCA and KPCA -- Abstract -- 1.1 Introduction -- 1.2 Related Work -- 1.3 Image Representation Based on Branched Inverse Difference Pyramid -- 1.3.1 Principles for Building the Inverse Difference Pyramid -- 1.3.2 Mathematical Representation of n-Level IDP -- 1.3.3 Reduced Inverse Difference Pyramid -- 1.3.4 Main Principle for Branched IDP Building -- 1.3.5 Mathematical Representation for One BIDP Branch -- 1.3.6 Transformation of the Retained Coefficients into Sub-blocks of Size 2 × 2 -- 1.3.7 Experimental Results -- 1.4 Hierarchical Singular Value Image Decomposition -- 1.4.1 SVD Algorithm for Matrix Decomposition -- 1.4.2 Particular Case of the SVD for Image Block of Size 2 × 2 -- 1.4.3 Hierarchical SVD for a Matrix of Size 2n × 2n -- 1.4.4 Computational Complexity of the Hierarchical SVD of Size 2n × 2n -- 1.4.4.1 Computational Complexity of the SVD of Size 2 × 2. , 1.4.4.2 Computational Complexity of the Hierarchical SVD of Size 2n × 2n -- 1.4.4.3 Computational Complexity of the SVD of Size 2n × 2n -- 1.4.4.4 Relative Computational Complexity of the HSVD -- 1.4.5 Representation of the HSVD Algorithm Through Tree-like Structure -- 1.5 Hierarchical Adaptive Principal Component Analysis for Image Sequences -- 1.5.1 Principle for Decorrelation of Image Sequences by Hierarchical Adaptive PCA -- 1.5.2 Description of the Hierarchical Adaptive PCA Algorithm -- 1.5.2.1 Calculation of Eigen Images Through APCA with a 2 × 2 Matrix -- 1.5.2.2 Hierarchical APCA Algorithm for a Group of 8 Images -- 1.5.2.3 Calculation of Eigen Images Through APCA with a 3 × 3 Matrix -- 1.5.2.4 Hierarchical APCA Algorithm for a Group of 9 Images -- 1.5.3 Setting the Number of the Levels and the Structure of the HAPCA Algorithm -- 1.5.3.1 Number of the HAPCA Levels -- 1.5.3.2 Structure of the HAPCA Algorithm -- 1.5.3.3 Computational Complexity of HAPCA -- 1.5.4 Experimental Results -- 1.6 Hierarchical Adaptive Kernel Principal Component Analysis for Color Image Segmentation -- 1.6.1 Mathematical Representation of the Color Adaptive Kernel PCA -- 1.6.2 Algorithm for Color Image Segmentation by Using HAKPCA -- 1.6.3 Experimental Results -- 1.7 Conclusions -- 2 Intelligent Digital Signal Processing and Feature Extraction Methods -- Abstract -- 2.1 Introduction -- 2.2 The Fourier Transform -- 2.2.1 Application of the Fourier Transform -- 2.3 The Short-Time Fourier Transform -- 2.3.1 Application of the Short-Time Fourier Transform -- 2.4 The Wavelet Transform -- 2.4.1 Application of the Wavelet Transform -- 2.5 The Hilbert-Huang Transform -- 2.5.1 Introducing the Instantaneous Frequency -- 2.5.2 Computing the Instantaneous Frequency -- 2.5.3 Application of the Hilbert-Huang Transform. , 2.5.3.1 Detecting the Third and Fourth Heart Sounds in Phonocardiograms -- 2.5.3.2 Identifying T Waves in ECG Signals -- 2.6 Hybrid Signal Processing Systems -- 2.6.1 The Discrete Wavelet Transform and Fuzzy C-Means Clustering -- 2.6.2 Automatic Sleep Stage Classification -- 2.6.3 The Hilbert-Huang Transform and Support Vector Machines -- 2.7 Conclusions -- References -- 3 Multi-dimensional Data Clustering and Visualization via Echo State Networks -- Abstract -- 3.1 Introduction -- 3.2 Echo State Networks and Clustering Procedure -- 3.2.1 Echo State Networks Basics -- 3.2.2 Effects of IP Tuning Procedure -- 3.2.3 Clustering Algorithms -- 3.3 Examples -- 3.3.1 Clustering of Steel Alloys in Dependence on Their Composition -- 3.3.2 Clustering and Visualization of Multi-spectral Satellite Images -- 3.3.3 Clustering of Working Regimes of an Industrial Plant -- 3.3.4 Clustering of Time Series from Random Dots Motion Patterns -- 3.3.5 Clustering and 2D Visualization of "Sound Pictures" -- 3.4 Summary of Results and Discussion -- 3.5 Conclusions -- Acknowledgments -- References -- 4 Unsupervised Clustering of Natural Images in Automatic Image Annotation Systems -- Abstract -- 4.1 Introduction -- 4.2 Related Work -- 4.2.1 Unsupervised Segmentation of Natural Images -- 4.2.2 Unsupervised Clustering of Images -- 4.3 Preliminary Unsupervised Image Segmentation -- 4.4 Feature Extraction Using Parallel Computations -- 4.4.1 Color Features Representation -- 4.4.2 Calculation of Texture Features -- 4.4.3 Fractal Features Extraction -- 4.4.4 Enhanced Region Descriptor -- 4.4.5 Parallel Computations of Features -- 4.5 Clustering of Visual Words by Enhanced SOINN -- 4.5.1 Basic Concepts of ESOINN -- 4.5.2 Algorithm of ESOINN Functioning -- 4.6 Experimental Results -- 4.7 Conclusion and Future Development -- References. , 5 An Evolutionary Optimization Control System for Remote Sensing Image Processing -- Abstract -- 5.1 Introduction -- 5.2 Background Techniques -- 5.2.1 Darwinian Particle Swarm Optimization -- 5.2.2 Total Variation for Texture-Structure Separation -- 5.2.3 Multi-phase Chan-Vese Active Contour Without Edges -- 5.3 Evolutionary Optimization of Segmentation -- 5.3.1 Darwinian PSO for Thresholding -- 5.3.2 Novel Darwinian PSO for Relative Total Variation -- 5.3.3 Multi-phase Active Contour Without Edges with Optimized Initial Level Mask -- 5.3.4 Workflow of Proposed System -- 5.4 Experimental Results -- 5.4.1 Results -- 5.4.2 Discussion -- 5.4.3 Conclusion and Future Research -- References -- 6 Tissue Segmentation Methods Using 2D Histogram Matching in a Sequence of MR Brain Images -- Abstract -- 6.1 Introduction -- 6.2 Related Works -- 6.3 Overview of the Developed Segmentation Algorithm -- 6.4 Preprocessing and Construction of a Model and Test 2D Histograms -- 6.4.1 Transductive Learning -- 6.4.2 MRI Data Preprocessing -- 6.4.3 Construction of a 2D Histogram -- 6.4.4 Separation into MR Image Subsequences -- 6.4.5 Types of 2D Histograms and Preprocessing -- 6.5 Matching and Classification of a 2D Histogram -- 6.5.1 Construct Train 2D Histogram Segments Using 2D Histogram Matching -- 6.5.2 2D Histogram Classification After Distance Metric Learning -- 6.5.2.1 Pairwise (All-Versus-All) Classification -- 6.5.2.2 Distance Metric Learning -- 6.5.2.3 Large Margin Nearest Neighbor -- 6.5.2.4 Neighbourhood Component Analysis -- 6.5.2.5 K-Nearest Neighbour Classification -- 6.6 Segmentation Through Back Projection -- 6.7 Experimental Results -- 6.7.1 Test Data Sets and Parameters of the Developed Algorithm -- 6.7.2 Segmentation Results -- 6.8 Discussion -- 6.9 Conclusion -- References -- 7 Multistage Approach for Simple Kidney Cysts Segmentation in CT Images. , Abstract -- 7.1 Introduction -- 7.1.1 Medical Aspect of the Problem for Kidney Cyst Detection -- 7.1.2 Review of Segmentation Methods -- 7.1.2.1 Texture Based Segmentation -- 7.1.2.2 Incorporating Texture Segmentation in M-CBIR -- 7.1.2.3 Combining Haralick Features and Morphology -- 7.1.2.4 Pre- and Post-processing Strategies -- 7.1.3 Proposed Approach -- 7.2 Preprocessing Stage of CT Images -- 7.2.1 Noise Reduction with Median Filter -- 7.2.2 Noise Reduction Based on Wavelet Packet Decomposition and Adaptive Threshold -- 7.2.3 Contrast Limited Adaptive Histogram Equalization (CLAHE) -- 7.3 Segmentation Stage -- 7.3.1 Segmentation Based on Split and Merge Algorithm -- 7.3.2 Clustering Classification of Segmented CT Image -- 7.3.3 Segmentation Based on Texture Analysis -- 7.4 Experimental Results -- 7.5 Discussion -- 7.6 Conclusion -- Acknowledgement -- References -- 8 Audio Visual Attention Models in the Mobile Robots Navigation -- Abstract -- 8.1 Introduction -- 8.2 Related Work -- 8.3 The Basic Definitions of the Human Audio Visual Attention -- 8.4 General Probabilistic Model of the Mobile Robot Audio Visual Attention -- 8.5 Audio Visual Attention Model Applied in the Audio Visual Mobile Robot System -- 8.5.1 Room Environment Model for Description of Indoor Initial Audio Visual Attention -- 8.5.2 Development of the Algorithm for Definition of the Mobile Robot Initial Audio Visual Attention Model -- 8.5.3 Definition of the Initial Mobile Robot Video Attention Model with Additional Information from the Laser Range Finder Scan -- 8.5.4 Development of the Initial Mobile Robot Video Attention Model Localization with Additional Information from a Speaker to the Mobile Robot Initial Position -- 8.6 Definition of the Probabilistic Audio Visual Attention Mobile Robot Model in the Steps of the Mobile Robot Navigation Algorithm. , 8.7 Experimental Results from the Simulations of the Mobile Robot Motion Navigation Algorithm Applying the Probabilistic Audio Visual Attention Model.

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 -- Preface -- Acknowledgments -- Contents -- 1 Medical Decision Support System Using Pattern Recognition Methods for Assessment of Dermatoglyphic Indices and Diagnosis of Down's Syndrome -- Abstract -- 1…Introduction -- 2…The Aim of the Project -- 3…Clinical Issues of Down's Syndrome -- 4…Description of Dermatoglyphic Nomogram -- 5…Literature Overview -- 6…Classification Method of Fingerprint Patterns -- 7…Classification Method of Patterns of the Hallucal Area of Sole -- 8…The Method of ATD Angle Calculation -- 9…Feature Extraction -- 9.1 Image Preprocessing -- 9.2 Ridge Orientation -- 10…Fingerprint Classification with SVM Algorithm -- 10.1 Data -- 10.2 Classification Results -- 11…Summary -- References -- 2 New Format for Coding of Single and Sequences of Medical Images -- Abstract -- 1…Introduction -- 2…Brief Representation of the Methods, Used as a Basis for the Creation of the New Format -- 2.1 Basic Principles of the IDP Decomposition -- 2.2 Description of the ARL Coding Method -- 3…New Format Description -- 3.1 General Header -- 3.1.1 IDP Header -- 3.1.2 Sub-Header for the Image Brightness Data -- 3.1.3 Sub-Header for the Image Color Data -- 3.1.4 Sub-Headers for Transform Coefficients Quantization -- 3.1.5 Entropy Coding Table -- 3.2 Coding of Group of Images: Additional Header -- 3.2.1 Group Header (First IDP Header) -- 3.2.2 Header of the First Approximation of the Reference Image (Second Header) -- 3.2.3 Next Header (for Higher Level Approximations of Each Multispectral Image in the Group) -- 3.3 Coding of Compound Images: Additional Header -- 3.4 Additional Information -- 4…Application Areas -- 5…Conclusions -- Acknowledgments -- References -- 3 Rule-Based Classification of Patients Screened with the MMPI Test in the Copernicus System -- Abstract -- 1…Introduction -- 2…MMPI Data -- 3…Rule-Based Classification in Copernicus. , 3.1 General Selection of Rule Sets -- 3.2 Specific Selection of Rules -- 3.3 Visualization of Profiles and Rules -- 3.4 Classification Results -- 4…Conclusions -- Acknowledgments -- References -- 4 An Adaptive Approach for Noise Reduction in Sequences of CT Images -- Abstract -- 1…Introduction -- 2…Basic Stages for Noise Reduction in CT Image -- 2.1 Decomposition of the Image -- 2.2 Determination of the Threshold and Thresholding of Detail Coefficients -- 2.3 Restoration of the Image -- 2.4 Estimation of Filtration -- 3…Experimental Results -- 4…Conclusions -- Acknowledgments -- References -- 5 Intelligent Predictive Diagnosis on Given Practice Data Base: Background and Technique -- Abstract -- 1…Introduction -- 2…Is a Fault State or A Disease an Abnormal Condition? -- 3…Diagnosis on a Practice Base -- 3.1 Practice Base and Its Description -- 3.2 Diagnosis Intelligent Algorithm -- 4…Interpretations -- 5…Concluding Remarks -- References -- 6 Towards ICT Revolution in Healthcare: Present and Perspectives for Electronic Healthcare Record Systems -- Abstract -- 1…Background -- 2…Electronic Healthcare Record Systems -- 3…Problems Identified, Solutions and Current Status -- 4…Benefits -- 5…Conclusions -- Acknowledgments -- References -- 7 Compression of CT Images with Branched Inverse Pyramidal Decomposition -- Abstract -- 1…Introduction -- 2…Compression of CT Images with BIDP -- 3…Experimental Results -- 4…Conclusion -- Acknowledgments -- References -- 8 Adaptive Interpolation and Halftoning for Medical Images -- Abstract -- 1…Introduction -- 2…Mathematical Description of Adaptive 2D Interpolation -- 2.1 Digital Scaling of Halftone Images -- 3…Mathematical Description of Adaptive 2D Error-Diffusion -- 4…Experimental Results -- 5…Conclusions -- Acknowledgments -- References -- 9 Classification of EEG-Based Brain--Computer Interfaces -- Abstract. , 1…Introduction -- 2…Methodology -- 3…Results and Discussion -- 4…Conclusions -- Acknowledgments -- References -- Website -- 10 Negotiation-Based Patient Scheduling in Hospitals -- Abstract -- 1…Introduction -- 2…Foundations -- 3…MedPAge Approach -- 3.1 Coordination Protocol -- 3.2 System Implementation -- 3.3 Weaknesses and Challenges -- 4…Service-Oriented Interaction Design -- 4.1 Active Components Approach -- 4.2 Modelling Interactions with Services -- 4.3 Redesign of the MedPAge Coordination Mechanism -- 4.4 Discussion -- 5…Conclusion -- References -- 11 A New Generation of Biomedical Equipment Based on FPGA. Arguments and Facts -- Abstract -- 1…Introduction -- 2…The FPGA Technology and its Place in the Electronic Industry -- 3…FPGA Design Tools -- 4…Existing Healthcare and Biomedical FPGA Applications -- 5…Conclusions -- Acknowledgments -- References -- 12 A Survey of Electronic Fetal Monitoring: A Computational Perspective -- Abstract -- 1…Introduction -- 2…Publically Available CTG Datasets -- 3…Conclusions -- Acknowledgments -- References -- 13 Quantifying Anticipatory Characteristics. The AnticipationScopetrade and the AnticipatoryProfiletrade -- Abstract -- 1…Introduction -- 2…What Do We Map? -- 2.1 Conceptual Aspects -- 2.2 Anticipation and Change -- 3…Anticipation and Aging -- 3.1 Specifications -- 3.2 The Design -- 3.3 Architecture of the Data Acquisition Platform -- 3.4 Data Types and Time Scale -- 4…The Unity Between Action and Perception -- 5…Suggestive Directions -- 6…Qualified Gazing into the Crystal Ball -- Acknowledgments -- References -- 14 Generating Sample Points in General Metric Space -- Abstract -- 1…Introduction -- 2…Mapping Between General Metric Space and L2 Euclidean Space -- 3…Proposed Mapping of GMS into L2 -- 4…Measuring the Homogeneity of Element Distribution -- 5…Generating Random Elements in Distance Cone. , Acknowledgments -- References -- 15 A Distributed Security Approach for Intelligent Mobile Multiagent Systems -- Abstract -- 1…Introduction -- 2…Security Issues in Mobile Multiagent Systems -- 3…Security Solutions in Mobile Multiagent Systems -- 4…Intelligence in Mobile Multiagent Systems -- 5…IntelligMobAg Complex Mobile Multiagent Systems -- 5.1 The IntelligMobAg Architecture -- 5.2 Security Solutions Provided by the IntelligMobAg Architecture -- 5.3 Complexity, Intelligence of a IntelligMobAg Multiagent System -- 6…Conclusions -- Acknowledgments -- References -- 16 Day Trading the Emerging Markets Using Multi-Time Frame Technical Indicators and Artificial Neural Networks -- Abstract -- 1…Introduction -- 2…Day Trading -- 3…Methodological Framework -- 3.1 Data Preprocessing -- 3.2 The Cost of Transactions -- 3.3 The Activation Function -- 3.4 The Neural Networks Training -- 3.5 Error Calculation -- 3.6 The Networks Structure -- 3.7 Results -- 4…Conclusions -- Acknowledgments -- References -- 17 Teaching for Long-Term Memory -- Abstract -- 1…Introduction -- 2…Investigation -- 2.1 Structure of Memory. Points at Which Information can be Lost in Learning -- 2.2 Use of Analogy in Learning and Retrieval of Information -- 3…Conclusions -- Acknowledgments -- References -- 18 A Recognition Algorithm and Some Optimization Problems on Weakly Quasi-Threshold Graphs -- Abstract -- 1…Introduction -- 2…General Notations -- 3…Preliminary Results -- 3.1 Weakly Decomposition -- 3.2 Weakly Quasi-Threshold Graphs -- 4…New Results on Threshold Graphs -- 4.1 Characterization of a Weakly Quasi-Threshold Graph Using the Weakly Decomposition -- 4.2 Determination of Clique Number and Stability Number for a Weakly Quasi-Threshold Graph -- 5…Conclusions and Future Work -- Acknowledgments -- References. , 19 Large Graphs: Fast Cost Update and Query Algorithms. Application for Emergency Vehicles -- Abstract -- 1…Introduction -- 2…Preliminaries -- 3…Pre-processing Phase -- 4…Search for Shortest Path and Cost Arcs Update -- 4.1 Search for Shortest Path -- 4.2 Arc Cost Update -- 5…Experiments -- 6…Conclusions and Future Work -- Acknowledgments -- References -- 20 Scan Converting OCT Images Using Fourier Analysis -- Abstract -- 1…Introduction -- 2…Scan Conversion Using Fourier Analysis -- 3…Methods and Material -- 4…Results and Discussion -- 5…Conclusion -- References.

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 -- 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.

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: 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.