Advances in Intelligent Information Hiding and Multimedia Signal Processing: Proceeding of the 18th IIH-MSP 2022 Kitakyushu, Japan, Volume 2
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The book presents selected papers from the 18th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, held on December 16–18, 2022, in Kitakyushu, Japan. It is divided into two volumes and discusses latest research outcomes in the field of Information Technology (IT) including but not limited to information hiding, multimedia signal processing, big data, data mining, bioinformatics, database, industrial and internet of things, and their applications. Preface Contents About the Editors 1 An Efficient Multilevel Threshold Image Segmentation Approach Based on Rafflesia Optimization Algorithm 1.1 Introduction 1.2 Multilevel Threshold Image Segmentation Problem 1.3 Rafflesia Optimization Algorithm 1.3.1 The Stage of Attracting Insects 1.3.2 The Stage of Swallowing Insects 1.3.3 The Stage of Spreading Seeds 1.4 ROA-Based Segmentation Process 1.5 Simulation 1.5.1 Peak Signal-to-Noise Ratio 1.5.2 Structural Similarity Index Measure 1.5.3 Feature Similarity Index Measurement 1.6 Conclusion References 2 Distributed Face Biometric with Blockchain Federated Learning 2.1 Introduction 2.1.1 Subject Background and Significance of This Research 2.2 The Proposed Architecture and Algorithm 2.2.1 The Proposed Architecture 2.2.2 Main Algorithm 2.3 Experimental Result and Evaluation 2.3.1 Dataset 2.3.2 Analysis 2.4 Conclusion References 3 Region Guide Point for Depth Estimation 3.1 Introduction 3.2 Related Work 3.3 The Proposed Method 3.3.1 Overall Network Framework 3.3.2 Global Multi-scale Feature Extraction Network 3.3.3 Loss Function 3.4 Experiment 3.4.1 Experimental Setup 3.4.2 Ablation Experiment 3.4.3 Comparisons with State-of-the-Art Methods 3.5 Conclusion References 4 Research on PLC Communication Technology in Intelligent Loading Control System 4.1 PLC Introduced 4.1.1 The Advantages of PLC 4.1.2 Application of PLC Communication Technology 4.1.3 PLC Application in Various Fields 4.1.4 Application of PLC in Intelligent Loading Control System 4.2 System Introduction 4.2.1 Overall System 4.2.2 Selection of PLC 4.3 PLC and PC Communication Technology 4.3.1 PLC Communication Module 4.3.2 Read and Write Function of Communication Between PC and PLC 4.3.3 Communication Convention Field Information 4.3.4 Status Change of PLC 4.3.5 PC to PLC Control Program 4.3.6 PLC Communication Program 4.4 Conclusion References 5 Combined Synchronization for Fractional-Order Chaotic Systems with Time Delay 5.1 Introduction 5.2 Background 5.3 Simulation Results 5.4 Conclusion References 6 A New Four-Dimensional Discrete Chaotic System Is Used for S-Box Masking 6.1 Introduction 6.2 Discrete Chaotic System 6.2.1 Logistic Map 6.2.2 Tent Map 6.2.3 Henon Map 6.3 New Four-Dimensional Discrete Chaotic System 6.3.1 Construction of Discrete Chaotic Systems 6.3.2 NIST Test 6.3.3 Resource Consumption 6.4 S-Box Masking Scheme 6.5 Correlation Power Analysis 6.6 Conclusion References 7 A Parallel Gannet Optimization Algorithm with Communication Strategies (PGOA) 7.1 Introduction 7.2 Related Work 7.2.1 Gannet Optimization Algorithm 7.2.2 Parallel Mechanisms 7.3 Parallel Gannet Optimization Algorithm 7.3.1 Initialization 7.3.2 Update 7.3.3 Communication Strategies 7.4 Complexity Analysis 7.5 Experiments 7.5.1 Pseudo-Code of PGOA 7.5.2 Benchmark Functions 7.5.3 Discussion 7.6 Conclusion References 8 Adaptive Target Tracking Algorithm Based on Template Updating and Graph-Regularized Saliency 8.1 Introduction 8.2 Framework of Algorithm 8.3 Experiments and Analysis 8.3.1 Experimental Platform and Data 8.3.2 Criteria of Experimental Evaluation 8.3.3 Experimental Results and Analysis 8.4 Conclusion References 9 Fault Detection Method of Insulator Image Based on Gabor Texture and Convolutional Neural Network 9.1 Introduction 9.2 Related Work 9.2.1 Image Feature Analysis 9.2.2 Image Feature Analysis 9.3 Materials and Methods 9.3.1 Data Acquisition and Data Preprocessing 9.3.2 Proposed Methods 9.3.3 Gabor Texture Analysis 9.3.4 CNN Classification 9.4 Experimental Results and Discussion 9.4.1 Classification and Evaluating 9.4.2 Experimental Comparison 9.5 Conclusions References 10 RGB-T Target Tracking Based on Saliency with Gray-Level Co-occurrence Matrix and KCF 10.1 Introduction 10.2 Algorithms 10.2.1 LC Saliency Tracking Algorithm 10.2.2 Gray Level Co-occurrence Matrix 10.3 KCF_LC Tracking Algorithm 10.3.1 Coefficient Calculation Based on GLCM 10.3.2 KCF-LC Algorithm Process 10.4 Algorithm Experiment and Analysis 10.5 Conclusion References 11 An Optimal Power System Multi-objective Environmental-Economic Planning Based on Moth-Flame Optimization 11.1 Introduction 11.2 Related Work 11.2.1 Environmental-Economic Planning Model 11.2.2 Moth-Flame Algorithm 11.3 The EEP Solution by Multi-object MFO Algorithm 11.3.1 Pareto Optimality Approach 11.3.2 The MMFO Algorithm for the EEP Problem 11.4 Experimental Results and Discussion 11.5 Conclusion References 12 A Power-System Economic Dispatching Based on Enhanced Group Search Optimizer 12.1 Introduction 12.2 Economic Dispatching Model 12.2.1 Traditional Economic Scheduling Model 12.2.2 Economic Dispatching Model Considering the Valve-Point Effect of the Unit 12.2.3 Economic Scheduling Model Considering Multiple Fuels 12.3 Enhanced Group Search Optimization Algorithm 12.3.1 Original Group Search Optimization Algorithm 12.3.2 Enhanced Group Search Optimizer 12.4 Cases Study Analysis 12.5 Conclusion References 13 Research Review on Security Protection Scheme of Distributed Photovoltaic Grid-Connected Network 13.1 Introduction 13.2 Security Risks of Distributed Photovoltaic Grid-Connected Network 13.3 Security Status of Distributed Photovoltaic Grid-Connected Network 13.3.1 Status of Protection Scheme for Power Fiber Dedicated Line Access 13.3.2 Status of Wireless Access Solution Protection 13.3.3 Status of Network Boundaries and Protection 13.4 Security Protection Principles 13.4.1 Industrial Control Network Security Protection Principles 13.4.2 Principles of Network Security Protection for Distributed Photovoltaic Grid-Connected Networks 13.5 Key Technologies for Network Security Protection of Distributed Photovoltaic Grid-Connected Network 13.5.1 Master Station System Security 13.5.2 Channel Security 13.5.3 Security of Secure Access Area 13.5.4 Station Safety 13.6 Conclusion References 14 A Method of Constructing Fine-Grained Pose Evaluation Model 14.1 Introduction 14.2 Related Works 14.2.1 Pose Estimation 14.2.2 Datasets 14.2.3 Object Tracking 14.2.4 Motion Capture 14.2.5 Data Optimization 14.3 Materials and Methods 14.3.1 Camera Calibration 14.3.2 2D Pose Estimation 14.3.3 3D Pose Reconstruction 14.3.4 Smooth Filtering 14.4 Results and Discussion 14.4.1 Experiment Data Description 14.4.2 Experiment Results Analysis 14.5 Conclusions References 15 Research on Meteorological Public Opinion Combining Domain Keywords and LinearSVC 15.1 Introduction 15.2 Related Works 15.3 Meteorological Public Opinion Analysis Method 15.3.1 Model Framework 15.3.2 Domain Keyword Extraction Through Vectorization 15.3.3 Build a Classifier 15.3.4 LinearSVC 15.4 Experiments 15.4.1 Experimental Data Set 15.4.2 Design 15.4.3 Experimental Results and Analysis 15.5 Conclusions References 16 Study on Dynamic Evaluation of Limiting Factors of High-Speed Railway Station Operation Efficiency 16.1 Introduction 16.2 Construction of Evaluation Index System 16.3 Comprehensive Evaluation Method for High-Speed Railway Station 16.3.1 Determination of Index Weight by Entropy Method 16.3.2 Evaluation Model Based on Gray Correlation Analysis 16.4 Dynamic Analysis Case of Limiting Factors of High Speed Railway Station Transportation Efficiency 16.5 Conclusion References 17 A Novel Algorithm for Video Frame Prediction Based on Convolutional Neural Network 17.1 Induction 17.2 Model 17.3 Experiment 17.3.1 Dataset 17.3.2 Comparison and Analysis of Experimental Results 17.4 Conclusion References 18 GVFNet: Graph-Voxel Fusion Network for 3D Object Detection 18.1 Introduction 18.2 Graph-Voxel Fusion Network 18.3 The Component of GVFNet 18.3.1 Pseudo-voxel 18.3.2 Graph Formation 18.3.3 Feature Extraction 18.3.4 Space Alignment Module 18.4 Experiments 18.4.1 Loss Function 18.4.2 Implementation Details 18.4.3 Results on KITTI Dataset 18.4.4 Ablation Study 18.5 Conclusion References 19 Relation Extraction Model Based on Global Pointer and Potential Relation Embedding 19.1 Introduction 19.2 Related Work 19.3 Methodology 19.3.1 Input Layer 19.3.2 Potential Relation Prediction 19.3.3 Global Pointer 19.3.4 Loss Function 19.4 Experiment 19.4.1 Datasets and Evaluation Metrics 19.4.2 Baseline 19.4.3 Implementation Details 19.4.4 Results and Discussion 19.5 Conclusion and Future Work References 20 ECG Heartbeat Segmentation with Bidirectional LSTM Deep Learning Neural Network 20.1 Introduction 20.2 Materials and Methods 20.2.1 Dataset Description 20.2.2 Data Loading 20.2.3 Data Processing 20.2.4 Model Architecture 20.3 Discussion and Problem 20.4 Conclusion References 21 Representing Scenes as Compositional Generative Neural Feature Fields Based on GIRAFFE for 3D Reconstruction of Classroom Scenes 21.1 Introduction 21.2 Related Work 21.3 Method 21.3.1 Generating Neural Feature Fields 21.3.2 Scene Rendering 21.3.3 Training Builder 21.4 Experiment 21.5 Conclusions References 22 Pipe Attitude Recognition and Control System Based on Machine Vision 22.1 Introduction 22.2 System Overall Structure 22.3 System Design 22.3.1 System Hardware Design 22.3.2 System Software Design 22.4 Function Realization 22.4.1 Hardware Function Realization 22.4.2 Software Function Realization 22.5 System Test and Analysis 22.5.1 Data Set Description 22.5.2 Optimal Similarity Parameter Estimation 22.5.3 System Performance Test 22.6 Conclusion References 23 Short-Term Forecast Based on Generalized Maximum Correntropy Criterion and Kernel Extreme Learning Machine 23.1 Introduction 23.2 Preliminary 23.2.1 Generalized Maximum Correntropy Criterion 23.2.2 Kernel Extreme Learning Machine 23.3 Proposed Methodlogy 23.3.1 Data Preprocessing 23.3.2 Data Clustering 23.3.3 Load Forecasting Based on KELM 23.4 Experimental Result 23.5 Conclusion References 24 A Document Management System with Multi-biometric Watermarking for Educational Purpose 24.1 Introduction 24.2 Related Work 24.3 Proposed Architecture and Algorithm 24.3.1 Proposed Architecture 24.3.2 Improved LSB Algorithm 24.3.3 The Magic Matrix 24.4 Educational Purpose Application 24.5 Experimental Result and Evaluation 24.6 Conclusion References 25 Radar Waveform Gaming Configurable Framework Based on Deep Reinforcement Learning 25.1 Introduction 25.2 Background 25.2.1 Frequency Agile Radar 25.2.2 Reinforcement Learning 25.3 Unified Framework 25.3.1 Framework 25.3.2 Framework Formulation 25.4 Framework Simulation Results 25.4.1 Simulation Environment Construction 25.4.2 Parameter Setting 25.4.3 Simulation Results 25.5 Conclusion References 26 Super Resolution of Unpaired MR Images Based on Domain Migration 26.1 Introduction 26.2 Proposed Model and Framework 26.2.1 Review of Super-Resolution Theory 26.2.2 Proposed Solution 26.3 Experiments 26.3.1 Experiments Setup 26.3.2 Experiments on fastMRI Dataset 26.4 Conclusion References 27 Optical Stealth Algorithm Under Photoelectric Countermeasures and Its Effectiveness Evaluation 27.1 Instruction 27.2 Visible Light and Infrared Optical Stealth Algorithm 27.2.1 Using Fuzzy C-Means Clustering Algorithm for Digital Camouflage 27.2.2 Improved Digital Camouflage Algorithm 27.3 Evaluation Index Design of Optical Stealth Performance 27.4 Experiment Evaluation 27.4.1 Data Set Introduction 27.4.2 Experimental Environment Configuration 27.4.3 Analysis of Experimental Results 27.5 Conclusion References 28 Brainwave Analysis of the Correlation Between Listening to the Rain/Water Sounds and Reducing Human-Perceived Temperature 28.1 Introduction 28.2 Background and Related Work 28.2.1 Classification of Brainwaves 28.2.2 Musical Frequencies 28.2.3 Rain and Water Sounds 28.2.4 Correlation Between Music and Relaxation 28.3 Method 28.4 Design of the Experiments 28.4.1 Experimental Scheme 28.4.2 Experimental Procedure 28.5 Result and Analysis 28.5.1 Data Preprocessing 28.5.2 Correlation Between Questionnaire Results and Brainwaves 28.5.3 Discrete-Time Fourier Transform (DTFT) 28.5.4 Result 28.6 Conclusion References 29 Detection of Unknown DDoS Attack Using Modified Dynamic High-Resolution Network 29.1 Introduction 29.2 Related Work 29.2.1 IDS Based on Machine Learning and Deep Learning 29.2.2 Open Set Recognition 29.2.3 Unknown DDoS Detection 29.3 Materials and Methods 29.3.1 SLCPL 29.3.2 Reconstruction Loss 29.3.3 Unknown Identification Module 29.3.4 Incremental Learning 29.4 Experiment Results and Discussion 29.4.1 Dataset 29.4.2 Framework 29.4.3 Unknown Attack Detection and Analysis 29.5 Conclusions References 30 A Saliva Fern Recognition with Image Tone Equalization and Detection Method 30.1 Introduction 30.2 Literature Review 30.2.1 Tone Equalization 30.2.2 Median Filter 30.2.3 Edge Detection 30.3 A Saliva Fern Recognition with Image Tone Equalization and Detection Method 30.3.1 Scenario 30.3.2 Recognition of Saliva Fern Edge 30.3.3 Image Tone Equalization 30.4 Experimental Results and Analysis 30.4.1 Experiment Setup 30.4.2 Experimental Procedure 30.4.3 Data Analysis 30.5 Conclusions References 31 Data Augmentation Based on Topic Relevance to Enhance Text Classification in Scarcity of Training Data 31.1 Introduction 31.2 Related Work 31.2.1 Natural Language Processing 31.2.2 Bidirectional Encoder Representations from Transformers (BERT) 31.2.3 Keyword Extraction Techniques 31.3 Data Augmentation Based on Topic Relevance 31.3.1 Application Scenario 31.3.2 Data Preprocessing 31.3.3 Data Augmentation 31.4 Experiment and Effectiveness Evaluation 31.4.1 Experimental Purpose 31.4.2 Experimental Process 31.4.3 Experimental Results and Analysis 31.5 Conclusion References 32 Dam Control System’s Cybersecurity Testbed 32.1 Introduction 32.2 Background and Related Work 32.2.1 Industrial Control System Architecture 32.2.2 Offensive on Industrial Control System 32.2.3 Critical Infrastructure Cybersecurity Testbed 32.3 Dam Control System’s Cybersecurity Testbed Architecture 32.4 Experimental Results and Testbed Evaluations 32.5 Conclusion References 33 Multiple-Threshold Erasable Mining Under the Tightest Constraint 33.1 Introduction 33.2 Related Works 33.2.1 Erasable Itemset Mining 33.2.2 Multiple Threshold Mining 33.3 Problem Description 33.4 The Proposed Algorithm Under the Tightest Constraint 33.5 Experiments 33.6 Conclusion and Future Work References 34 Computational Intelligence and AI-FML Experience Model for Pre-university Student Learning and Practice 34.1 Introduction 34.2 Computational Intelligence and AI-FML Experience Model 34.2.1 CI&AI-FML Human and Machine Co-learning Model 34.2.2 CI&AI-FML Experience with AI-FML Robot and AI-FML MoonCar 34.3 CI&AI-FML Metaverse for Pre-university Student Practice 34.3.1 CI&AI-FML Learning Content for Pre-university Student Experience 34.3.2 CI&AI-FML Experience and Learning Model for Pre-university Student Practice 34.4 Experimental Results 34.4.1 IEEE WCCI 2022 Competition Demonstration 34.4.2 AI-FML-LT Assembly and Learning @ 2022 IEEE CIS Summer School 34.5 Conclusions References 35 Spoken Dialogue System Development Without Speech Recognition Towards Language Revitalization 35.1 Introduction 35.2 Related Work 35.2.1 Retrieval-Based Spoken Dialogue Systems 35.2.2 Query-by-Example Spoken Term Detection 35.3 Spoken Dialogue System Without Speech Recognizer/Synthesizer 35.3.1 Overview of the Proposed System 35.3.2 Nonlinear Matching Between Speech Feature Sequences 35.4 Experiment 35.4.1 Material 35.4.2 Word-Based Result 35.4.3 Feature Extraction 35.4.4 Results 35.4.5 Discussion 35.5 Conclusion References 36 Effect of Data Size and Machine Translation on the Accuracy of Automatic Personality Classification 36.1 Introduction 36.2 Related Work 36.2.1 Personality Traits 36.2.2 Personality Recognition from Text 36.3 Effect of Data Size and Classifiers 36.3.1 Dataset and Preprocessing 36.3.2 Classifiers 36.3.3 Results 36.4 Use of Machine-Translated Data 36.4.1 Preparing Machine-Translated Data 36.4.2 Classification Result 36.5 Conclusion References 37 Psychoacoustic Study of Japanese Mimetics for Food Textures 37.1 Introduction 37.2 Experiment 1 37.3 Experiment 2 37.4 General Discussion References 38 Prediction of Engagement from Facial Expressions: Effect of Dynamic Factors 38.1 Introduction 38.2 Methods 38.2.1 Data Collection 38.2.2 Response Time Prediction 38.3 Result 38.3.1 Response Time Prediction 38.3.2 Feature Importance 38.4 Discussion 38.5 Conclusion References Author Index
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