Cognitive Computation and Systems: Second International Conference, ICCCS 2023, Urumqi, China, October 1415, 2023, Revised Selected Papers (Communications in Computer and Information Science, 2029)

This book constitutes the refereed proceedings of the Second International Conference on Cognitive Computation and Systems, ICCCS 2023, held in Urumqi, China, October 14–15, 2023.The 26 full papers included in the book were carefully reviewed and selected from 68 submissions. ICCCS aims to bring together experts from different expertise areas to discuss the state-of-the-art in cognitive computing and intelligent systems, and to present new research results and perspectives on future development. They were organized in topical sections as follows: Perception and learning and decision making and systems. Preface Organization Contents Perception and Learning A Fuzzy Logic Based Top-Down Attention Modulation Framework for Selective Observation 1 Introduction 2 The Framework 2.1 General Procedure for Selective Observation 2.2 Ground Qualitative Concepts into Low-Level Quantities 2.3 Make Decision on Effective Modulation 3 Case Study on Traffic Scene 3.1 Data Set 3.2 Algorithms 3.3 Experiments on Qualitative Speed Surveillance 4 Discussion 4.1 Justification for the Feasibility 4.2 Beyond Feature Modulation 5 Conclusion References A Tongue Image Classification Method in TCM Based on Multi Feature Fusion 1 Introduction 2 System Model 2.1 Tongue Image Classification Model Based on Multi Feature Fusion 3 Algorithm Analysis 3.1 Time Complexity Analysis 3.2 Spatial Complexity Analysis 4 Experimental Results and Analysis 4.1 Data Set 4.2 Evaluation Method 4.3 Feature Extraction Graph 4.4 Experimental Result 5 Conclusion References An Obstacle Detection Method for Visually Impaired People Based on Semantic Segmentation 1 Introduction 2 Methods 2.1 Semantic Segmentation for Obtaining Obstacle Information 2.2 Real-Time Local Map with Semantic Information Generation 3 Results 4 Conclusion References MixStyle-Based Dual-Channel Feature Fusion for Person Re-Identification 1 Introduction 2 MixStyle-Based Style Blending Study 3 Proposed Person Re-Identification Method 3.1 Overall Network Structure 3.2 Feature Generalization Module 3.3 Improved Loss Function 4 Experiments 4.1 Datasets and Evaluation Indicators 4.2 Implementation Details and Parameter Settings 4.3 Results Compared to Baselines 4.4 Ablation Experiment 4.5 Influence Analysis of Parameter 5 Conclusions References MS-MH-TCN: Multi-Stage and Multi-Head Temporal Convolutional Network for Action Segmentation 1 Introduction 2 Related Work 3 Temporal Action Segmentation 3.1 Single-Stage TCN 3.2 Single-Stage and Multi-Head TCN 3.3 Multi-Stage and Multi-Head TCN 3.4 Loss Function 4 Experiments 4.1 Implementation Details 4.2 Effect of the Number of Heads on MS-MH-TCN 4.3 Comparing Different Loss Functions 4.4 Comparison with the State-of-the-Art 5 Conclusion References Real-Time Visual Detection of Anomalies in Densely Placed Objects 1 Introduction 2 Related Work 3 Proposed Method 3.1 The Detection of Abnormally Placed Small Packages 3.2 Correction of Abnormal Number of Small Packages 4 Experiments 5 Conclusion References Robust License Plate Recognition Based on Pre-training Segmentation Model 1 Introduction 2 Related Work 2.1 License Plate Detection 2.2 License Plate Recognition 2.3 Vision-Language Pre-training 3 Proposed Method 3.1 CLIP-ResNet Backbone 3.2 License Plate Detection and Unwarping 3.3 License Plate Recognition 4 Experiments 4.1 Datasets 4.2 Implementation Details 4.3 Evaluation Metrics 4.4 License Plate Detection Results 4.5 License Plate Recognition Results 5 Conclusion and Future Work References Predicting Cell Line-Specific Synergistic Drug Combinations Through Siamese Network with Attention Mechanism 1 Introduction 2 Materials and Methods 2.1 Materials 2.2 Methods 3 Hyperparameter Setting 4 Results 4.1 Evaluation Metrics 4.2 Comparison Results 4.3 Predicting New Drug Combinations 5 Conclusion References Pressure Pain Recognition for Lower Limb Exoskeleton Robot with Physiological Signals 1 Introduction 2 Paradigm Design and Data Collection 2.1 Paradigm Design 2.2 Dataset Description 3 Pattern Recognition Method 3.1 Preprocess 3.2 Deep Learning Method 4 Experiments 5 Discussion and Conclusion References Research on UAV Target Location Algorithm of Linear Frequency Modulated Continuous Wave Laser Ranging Method 1 Improvement of Target Location Algorithm for Multi-track Ranging 1.1 Multi-track Ranging Target Location Algorithm 1.2 Multi-track Ranging Target Positioning Improved Multi-UAV Ranging Target Positioning 1.3 Improvement of Ranging Method Based on Linear Frequency Modulate Continuous Wave Laser Ranging Principle 2 Matlab Simulation Analysis 2.1 MATLAB Simulation and Analysis Before Improvement 2.2 Improved MATLAB Simulation and Analysis 3 Analyze the Influence of UAV Flight Height on Positioning Accuracy After the Improved Algorithm 3.1 Height Limitation Range of Multi-UAV Ranging Target Positioning Algorithm 3.2 The UAV has No Low Altitude Flight Restrictions 3.3 There are Restrictions on Low-Altitude Flight of UAV 4 Closing Remarks References A Flexible Tactile Sensor for Robots Based on Electrical Impedance Tomography 1 Introduction 2 EIT-BASED Flexible Sensor 2.1 Forward Problem 2.2 Inverse Problem 2.3 Flexible Sensor 3 Experimental Studies 3.1 Data Acquisition System 3.2 Flexible Sensor Fabrication 3.3 Bi-model Structure 4 Summary and Conclusion References Joint Domain Alignment and Adversarial Learning for Domain Generalization 1 Introduction 2 Proposed Method 2.1 Network Architecture 2.2 Domain Alignment Module 2.3 Model Training 3 Experiments 3.1 Datasets and Baseline 3.2 Implementation Details 3.3 Experiment on Office-Home Dataset 3.4 Experiment on VLCS Dataset 3.5 Impact on Different Priors 3.6 Impact on Different Kernels 4 Conclusion References Value Creation Model of Social Organization System 1 Introduction 1.1 A Subsection Sample 2 Methods 3 Results and Discussion 4 Conclusions References Decision Making and Systems Mixed Orientation ProMPs and Their Application in Attitude Trajectory Planning 1 Introduction 2 The ProMP Algorithm 2.1 Probabilistic Movement Primitives 2.2 Orientation ProMPs 3 GMM Algorithm 4 Mixed Orientation ProMPs 4.1 Mixed Orientation ProMPs 4.2 Trajectory Planning of Mixed Orientation ProMPs 5 Experiments 5.1 Training Set Collection Phase 5.2 Model Learning Phase 5.3 Trajectory Planning Stage 5.4 Physical Trajectory Planning 6 Conclusion References Multi-population Fruit Fly Optimization Algorithm with Genetic Operators for Multi-target Path Planning 1 Introduction 2 Multi-population Fruit Fly Optimization Algorithm with Genetic Operators 2.1 Path Planning Problem Formal Description 2.2 Basic Fruit Fly Optimization Algorithm 2.3 Fruit Fly Optimization Algorithm with Genetic Operators 3 Experimental Results and Analysis 3.1 Test Environment 3.2 Effect of Greedy Strategy Initialization 3.3 k-opt Parameter Analysis 3.4 Effect of Population Number 3.5 Effect of Mutation Probability 3.6 Ablation Experiments 3.7 Performance of GA-DMFOA 4 Conclusion References Task Assignment of Heterogeneous Robots Based on Large Model Prompt Learning 1 Introduction 2 Mathematical Model of Task Assignment 2.1 Description of the Problem 2.2 Target Function 2.3 Capacity Constraints to Implement the Mandate 2.4 Capacity Constraints 2.5 Evaluation Metric 3 Heterogeneous Robot Assignment Algorithm Based on Large Model Prompt Learning 3.1 The Fundamentals of Prompt Learning 3.2 Algorithmic Implementation 4 Simulation Experiment and Analysis 4.1 Simulation Experiment 5 Conclusion References Quickly Adaptive Automated Vehicle's Highway Merging Policy Synthesized by Meta Reinforcement Learning with Latent Context Imagination 1 Introduction 2 Related Work 3 Preliminaries 4 Imagination Augmented Meta Reinforcement Learning 4.1 Task Inference 4.2 Imagination Using Generative Models 5 Simulation Environments and Results 6 Conclusion References Visual Inertial Navigation Optimization Method Based on Landmark Recognition 1 Introduction 2 The Algorithm Description 2.1 Visual-Inertial Navigation System 2.2 Landmarks Recognition Based on YOLOv4 2.3 VINS with Relocation 3 Experiments and Results 3.1 Experimental Conditions 3.2 Experimental Results 4 Conclusion References A Novel Approach to Trajectory Situation Awareness Using Multi-modal Deep Learning Models 1 Introduction 1.1 Background and Motivation 1.2 Related Work 1.3 Research Objectives 2 Methodology 2.1 Data Collection and Preprocessing 2.2 Multi-modal Deep Learning Models for Trajectory Situation Awareness 3 Experimental Results 4 Conclusion References A Framework for UAV Swarm Situation Awareness 1 Introduction 2 The Framework for Swarm Situational Awareness 3 Situation Elements Identification and Situation Comprehension 3.1 Situation Elements Identification 3.2 Present Situation Comprehension 4 UAV Swarm Advantage Assessment 4.1 Prediction of Swarm Movement Trends and Collective Motion Formation 4.2 Swarm Advantage Assessment 5 Simulation Result 5.1 Situation Elements Identification and Prediction 5.2 Situation Awareness and Advantage Assessment 6 Conclusion References The Weapon Target Assignment in Adversarial Environments 1 Introduction 2 Related Work 2.1 MOWTA Problem 2.2 Adversarial Elements 2.3 MOPSO 3 Problem Formulation 3.1 AWTA Modeling 3.2 Multi-objective Optimization Problem 4 Experiment and Results Analysis 4.1 Scene Setting 4.2 Algorithm Process 4.3 Experiment and Results 5 Conclusion References A Distributed Vehicle-Infrastructure Cooperation System Based on OpenHarmony 1 Introduction 2 Related Works 2.1 Vehicle-Infrastructure Cooperation System 2.2 VICS Operating System 3 Methodology 3.1 System Framework 3.2 Distributed Soft Bus for Data Communication 3.3 Vehicle-Infrastructure Cooperation System 4 Experiments and Results 4.1 Perspective Transformation Results 4.2 Perception Results 4.3 Motion Planning and Control Results 5 Conclusions References A Practical Byzantine Fault Tolerant Algorithm Based on Credit Value and Dynamic Grouping 1 Introduction 2 Related Works 3 CDGPBFT Algorithm Design and Implementation 3.1 Grouping Strategy 3.2 Criteria for Assessing Creditworthiness 3.3 Primary Node Rotation Mechanism 3.4 Improved Consensus Process 3.5 Group Adjustments 4 Reward Functions 4.1 Feasibility Analysis of the Reward Function 4.2 Design of the Reward Function 5 Experiment 5.1 Safety Performance Analysis 5.2 Algorithm Complexity Analysis 5.3 Communication Overhead 5.4 Message Throughput 5.5 Transaction Delay 6 Summary and Future Outlook References Data Exchange and Sharing Framework for Intermodal Transport Based on Blockchain and Edge Computing 1 Introduction 2 Related Work 2.1 Intermodal Transport 2.2 Blockchain 2.3 Blockchain and Edge Computing 3 Architecture Design 3.1 User Layer 3.2 Local Edge-Mining Layer 3.3 Semantic Reasoning Layer 3.4 Blockchain Layer 3.5 Off-Chain Distributed Storage Layer 4 Smart Contracts 4.1 Identity Verification and Registration 4.2 Data Exchange and Sharing for Autonomous Decision-Making 5 Conclusion References Internet Of Rights(IOR) in Role Based Blockchain 1 Introduction 2 Background 2.1 Data Privacy and Collaboration Contradiction 2.2 Data Legality 2.3 Conflict Between Ownership and the Rights of Usage 2.4 Separation of Data Governance and Rule Governance 2.5 The Traceability of the Evidence Chain 2.6 The Cost of Preventing Infringement 3 Overview 3.1 Internet of Rights(IOR) Model 3.2 Topology 3.3 Role 3.4 Permission 3.5 Traceability 4 Multi-level Consensus 4.1 Storage Consensus 4.2 Role Consensus 4.3 Permission Consensus 4.4 Reputation Consensus 5 Protocol 5.1 Protocol Data Structure 5.2 Authorization Process 5.3 Multi-party Collaborative Signature 5.4 Data Authentication 5.5 Rules of Protocols 5.6 Evaluation Method 6 Evaluation Calculation 6.1 Propagation Speed Assessment 6.2 Trust Evaluation 6.3 Credit Result 7 Conclusion References Tibetan Jiu Chess Intelligent Game Platform 1 Introduction 2 Research Status 2.1 Related Works on Game Platform 2.2 Researches on Tibetan Jiu Chess 3 Development Environment and Technical Solutions 4 Design Solutions for the Mini-program 4.1 Interface Design 4.2 Flow Design of Jiu Chess Game 4.3 Design of Data Tables 4.4 Design of Game Data 4.5 Representation of the Chessboard and Chess Shape 4.6 Chess Game Replay 4.7 Ways to Achieve a Win-Lose Judgement 5 Test Results of the Platform 5.1 Tests for Online Gaming 5.2 Tests for Game Data Replay 6 Summary and Outlook References Author Index