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6GN for Future Wireless Networks: 6th EAI International Conference, 6GN 2023, Shanghai, China, October 7-8, 2023, Proceedings, Part II (Lecture Notes of ... Telecommunications Engineering Book 554)

معرفی کتاب «6GN for Future Wireless Networks: 6th EAI International Conference, 6GN 2023, Shanghai, China, October 7-8, 2023, Proceedings, Part II (Lecture Notes of ... Telecommunications Engineering Book 554)» نوشتهٔ Jingchao Li, Bin Zhang, Yulong Ying, (Editors)، منتشرشده توسط نشر Springer Nature Switzerland AG در سال 2024. این کتاب در فرمت pdf، زبان انگلیسی ارائه شده است.

This 2-volume set constitutes the proceedings of the 6th EAI International Conference on 6GN for Future Wireless Networks, 6GN 2023, held in Shanghai, China, in October 7-8, 2023. The 60 full papers were selected from 151 submissions and present the state of the art and practical applications of 6G technologies. The papers are arranged thematically in tracks as follows: intelligent systems; big data mining, D2D communication, security and privacy for 6G networks; artificial intelligent techniques for 6G networks; power and energy systems I; power and energy system; power and energy systems; image, video, and signal processing; image, video, and signal processing & software engineering; communications systems and networking & control and automation systems; computer systems and applications. Preface Organization Contents – Part II Contents – Part I Image, Video, and Signal Processing Detection of Green Walnuts on Trees Using the Improved YOLOv7 Model 1 Introduction 2 Data 2.1 Data Acquisition 2.2 Data Annotation 2.3 Data Augmentation 3 Methods 3.1 YOLOv7 3.2 Transformer 3.3 ResNet 3.4 SimAM 3.5 YOLOv7-TRS 4 Experiments 4.1 Performance Evaluation Metrics 4.2 Experimental Setting 4.3 Results Comparison 4.4 Ablation Study 4.5 Problematic Situations 5 Conclusions References Disease Recognition of Plants Leaves in Northern Shaanxi Based on Siamese Networks 1 Introduction 2 Related Works 2.1 AlexNet 2.2 DenseNet 2.3 EfficientNet 2.4 GoogleNet 2.5 MobileNet 2.6 ResNet 2.7 VGGNet 3 Proposed Methods 3.1 Experimental Datasets 3.2 Experiment Setup 3.3 Siamese Network Model 4 Proposed Methods 4.1 Millet Leaf Diseases 4.2 Apple Leaf Diseases 4.3 Jujube Leaf Diseases 5 Conclusions References Application of MED-TET to Feature Extraction of Vibration Signals 1 Introduction 2 MED-TET Algorithm 2.1 Minimum Entropy Deconvolution 2.2 Transient-Extracting Transform 2.3 The Method Proposed in this Paper 3 Simulation Analysis 4 Experimental Verification 4.1 Experimental Signal Data 4.2 Fault Signal Analysis 5 Summary References A Novel Phase Congruency-Based Image Matching Method for Heterogenous Images 1 Introduction 2 Methodology 2.1 Importance of Phase and Its Model 3 Experimental Results 4 Conclusion References Design of Image Based Optical Flow Tracking and Positioning System in Intelligent Assembly 1 Introduction 2 Image Detection and Tracking Algorithm Framework 3 Algorithm Process Module Improvement 3.1 Marker Detection and Pose Determination 3.2 Pyramid Optical Flow 3.3 Pose Optimization 4 Experimental Results 5 Conclusion References A Review of Image and Point Cloud Fusion in Autonomous Driving 1 Introduction 2 Fusion Method 2.1 Data Fusion 2.2 Feature Fusion 2.3 Result Fusion 3 Comparative Aanalysis 4 Trends and Promising Directions 5 Conclusion References Deep Learning in Strawberry Growth Monitoring Research: A Review 1 Introduction 2 Research Progress 2.1 Disease 2.2 Strawberry Ripeness 2.3 Strawberry Target Detection 2.4 Analysis 3 Conclusion References Image, Video, and Signal Processing & Software Engineering Stepwise Change and Refine Network for Human Pose Transfer 1 Introduction 2 Related Works 3 Method 3.1 Coarse Block 3.2 Refine Block 3.3 Training 4 Setup 4.1 Dataset 4.2 Metrics 5 Experiment 5.1 Contrast Experiment 6 Conclusion References Performance Analysis of Web Server Side Reactive Programming 1 Introduction 2 Background Techniques 2.1 Reactive Programming 3 Performance Evaluation 3.1 Benchmarks for Reactive Programming 4 Experimental Results and Analysis 4.1 TPS and ART 4.2 CPU Utilization 4.3 Network Bandwidth Utilization 5 Conclusion References Improved Sparrow Search Algorithm Optimized Neural Network Analysis of Traffic Congestion 1 Introduction 2 Levy Flight Modified Sparrow Search Algorithm for Optimizing Neural Networks 2.1 Improved Sparrow Search Algorithm Based on Levy Flight 2.2 Simulation Experiment of Improved Sparrow Search Algorithm Based on Levy Flight 2.3 LSSA-BP Neural Network Model 3 LSSA-BP Neural Network Congestion Prediction 3.1 Problem Description 3.2 Experimental Data Processing 3.3 Simulation Experiment of LSSA-BP Predicting Congestion Condition 4 Conclusion References Industrial Noisy Speech Enhancement Using Joint Time-Frequency Loss Function Based on U-Net 1 Introduction 2 Joint Time-Frequency Convolutional Network 2.1 Convolutional Network Architecture 2.2 Loss Function 3 Experiments 3.1 Experiment Environment and Dataset 3.2 Experimental Design 3.3 Results 4 Conclusion References Multiple Color Feature and Contextual Attention Mechanism Based on YOLOX 1 Introduction 2 Proposed Model 2.1 HSV Module 2.2 Contextual Attention Mechanism 3 Experiment 3.1 Datasets 3.2 Results and Analysis 4 Conclusion References Improved War Strategy Optimization Algorithm Based on Hybrid Strategy 1 Introduction 2 Algorithm Description 2.1 War Strategy Algorithm 2.2 Improved War Strategy Algorithm 2.3 Comparison of Algorithm Verification Function 2.4 Analysis of Impact of Different Improvement Strategies on Algorithm Performance 3 Conclusion References Quantitative Analysis on Coin Flipping Protocol 1 Introduction 1.1 Background 2 Preliminaries 3 Model 4 Probabilistic Model Checking 4.1 Single Dice 4.2 Cooperation of Two Dice 4.3 Bias Situation 5 Conclusion References Communications Systems and Networking & Control and Automation Systems Research on Cost Optimization of UAV Network Routing Protocol Based on OLSR Protocol 1 Background 2 Analysis of the Whole Process of Demonstration Examples 2.1 Ground End Procedure 2.2 Flight Control Procedure 2.3 Transmission Structure References A Lightweight Fault Diagnosis Model of Rolling Bearing Based on Gramian Angular Field and EfficientNet-B0 1 Introduction 2 Time Series Imaging 3 EfficientNet-B0 Model 3.1 EfficientNet-B0 Model Network Structure 3.2 Transfer Learning 4 Simulation and Analysis 4.1 Data Sources and Processing 4.2 Analysis and Comparison of Training Results 5 Conclusions References ISAC Device-Free Sensing Method for V2V System 1 Introduction 2 System Model 3 Principle Analysis 3.1 Time-Sharing Processing 3.2 Range Bin 4 Analysis of Experimental Results 5 Conclusion References Fuzzy Sliding Mode Trajectory Tracking Control for Omnidirectional Mobile Robots Based on Exponential Convergence Law 1 Introduction 2 Kinematic Modeling of Omnidirectional Mobile Robots 2.1 Kinematic Modeling 2.2 Trajectory Tracking Problem Description 3 Omnidirectional Mobile Robot Controller Design 3.1 Sliding Mode Controller Design Based on Exponential Convergence Law 3.2 Fuzzy Sliding Mode Controller Design 4 Simulation Research 5 Conclusion References Image Classification Method Base on Contrastive Learning 1 Introduction 2 Related Work 3 Method 3.1 Algorithm Flow 3.2 SE Module 3.3 Contrastive Loss 3.4 Local Self-Attention Mechanism Classification Head 4 Experiments 4.1 Experimental Setting 4.2 Experimental Result 5 Conclusion References Research on RFID Indoor Localization Algorithm Based on Virtual Tags and Fusion of LANDMARC and Kalman Filter 1 Introduction 2 Related Work 2.1 Radio Frequency Identification (RFID) Technology 2.2 LANDMARC Algorithm 3 Methodology 3.1 Optimize the Layout of Virtual Tags 3.2 Optimization of Tag Signal 3.3 Algorithm Flow 4 Simulation and Analysis 5 Conclusions References Computer Systems and Applications Research on Information Literacy Teaching of Library MOOC Based on Constructivism 1 Introduction 2 Analysis 2.1 Constructivism Theory, Elements and Modes 2.2 The Present Situation and Analysis of MOOC in Libraries 3 Method 3.1 The Construction of MOOCS Teaching Mode in Library 3.2 Construction Mechanism and Standard 3.3 Construction Model 4 Conclusion References Research on Smart Library System Based on Big Data 1 Introduction 2 Analysis 3 Method 3.1 Infrastructure Support 3.2 The Data Resource Level 3.3 The Technology Processing Level 3.4 Service Application Level 4 Conclusion References Smoke Segmentation Method Based on Super Pixel Segmentation and Convolutional Neural Network 1 Introduction 2 Method 2.1 SegNet Smoke Image Segmentation Method 2.2 SLIC Super Pixel Segmentation Method 2.3 Smoke Segmentation Method Based on SLIC and SegNet 3 Experiment and Discussion 3.1 Smoke Image Segmentation Results Based on SegNet 3.2 Super Pixel Segmentation Results Including Smoke Pixels 3.3 Smoke Segmentation Results Based on SLIC and SegNet Algorithms 3.4 The Advantages of the Results of This Paper over other Methods 4 Conclusion References Research on Distributed Routing Technology for LEO Satellite Network 1 Source and Purpose of the Research 2 Development Status of LEO Satellite Network 2.1 Starlink 2.2 OneWeb 2.3 Kuiper 3 Topological Characteristics of LEO Satellite Networks 3.1 Satellite Constellation 3.2 ISL Connection and Selection 4 LEO Network Service and Routing Requirements 4.1 Satellite Earth Network 4.2 Satellite-Based Network 4.3 Hybrid Network 5 Routing Method for LEO Satellite Network 5.1 Virtual Topology Method 5.2 Virtual Node Method 6 Routing Protocol for LEO Satellite Network 6.1 DT-DVTR 6.2 OPSPF 6.3 DRA 6.4 LAOR 7 Conclusion References Analysis of Weld Pool Characteristics in Narrow Gap GTAW Welding Based on Passive Vision 1 Introduction 2 Image Processing of Molten Pool 2.1 Extracting Feature Parameters from Molten Pool Images 2.2 Extracting Feature Parameters from Molten Pool Images 2.3 Threshold Segmentation Extracts the Center Point of the Weld Pool and the Weld Pool Image 2.4 Extraction of Welding Patterns 2.5 Melt Pool Images Under Different Welding Currents 3 Conclusion References Author Index
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