Green, Pervasive, and Cloud Computing. 17th International Conference, GPC 2022 Chengdu, China, December 2–4, 2022 Proceedings

Preface
Organization
Contents
SFYOLO: A Lightweight and Effective Network Based on Space-Friendly Aggregation Perception for Pear Detection
	1 Introduction
	2 Related Works
	3 Image Acquisition and Processing
		3.1 Image Dataset Acquisition
		3.2 Annotation Procedure and Data Augmentation
	4 SFYOLO Network Design
		4.1 Overall Structure of SFYOLO
		4.2 Technical Route of Pear Detection Network
		4.3 Improvements of Pear Detection Network Based on YOLOv5s
	5 Experiments
		5.1 Evaluation Metrics
		5.2 Implementation Details
		5.3 Quantitative Experimental Results Compared with YOLO Series
		5.4 Qualitative Experiments Results on Ground Dataset
		5.5 Qualitative Experimental Results on Aerial Dataset
		5.6 Ablation Studies
	6 Conclusion
	References
Feature Fusion Expression Recognition Algorithm Based on DCA Dimensionality Reduction
	1 Introduction to Relevant Technologies
	2 Algorithmic Implementation
		2.1 Overall Architecture
		2.2 Implementation Process
	3 Analysis of Experimental Results
		3.1 Experimental Environment
		3.2 Experimental Results and Analysis
	4 Conclusion
	References
Decision Tree Fusion and Improved Fundus Image Classification Algorithm
	1 Introduction
	2 Algorithmic Implementation
		2.1 Preprocessing
		2.2 Feature Extraction
		2.3 Fundus Image Classification
	3 Experimental Analysis
		3.1 Experimental Environment
		3.2 Experimental Design and Analysis
	4 Conclusion
	References
Construction Method of National Food Safety Standard Ontology
	1 Introduction
	2 Related Research
	3 Model Design of Food Safety Standard Ontology
		3.1 National Food Safety Standards
		3.2 Model Framework of Food Safety Standard Ontology
	4 Data Import of Food Safety Standard Ontology
		4.1 Data Extraction
		4.2 Data Import
		4.3 Validity Analysis
	5 Summary
	References
Federated Learning-Based Driving Strategies Optimization for Intelligent Connected Vehicles
	1 Introduction
	2 Scene and Model
		2.1 System Scene
		2.2 Single Vehicle Intelligent Driving Model Based on Conditional Imitation Learning
		2.3 Federated Learning-Based Model Aggregation
	3 Simulation Verification
		3.1 Carla Simulation Platform
		3.2 Database Preprocessing
		3.3 Simulation Parameter Setting
		3.4 Analysis of Simulation Results
	4 Summary and Outlook
	References
Traffic Sign Image Segmentation Algorithm Based on Improved Spatio-Temporal Map Convolution
	1 Introduction
	2 Related Job
		2.1 Pre-processing
		2.2 Octave Convolution
		2.3 Spatio-Temporal Component Map Convolution
	3 Improved Algorithm
		3.1 Framework of Traffic Sign Recognition Algorithm Based on Improved Spatio-Temporal Convolution
		3.2 Octave Convolution-Based RGB Image Saliency Detection ch6refspsarticle17 Module
		3.3 Spatio-Temporal Component Map Convolutional Network
		3.4 Octave Convolution Residual Module
	4 Experiment
		4.1 Experimental Environment
		4.2 Experimental Evaluation Indicators
		4.3 Comparison Experiments
	5 Conclusion
	References
Research on Sheep Counting Algorithm Under Surveillance Video
	1 Introduction
	2 Materials and Methods
		2.1 Data Acquisition
		2.2 Density Map Ground Truth
		2.3 Proposed Method
	3 Experiments Setup
		3.1 Experiment Preparation
		3.2 Evaluation Metrics
	4 Results and Analysis
	5 Conclusion
	References
A Blockchain-Based Distributed Machine Learning (BDML) Approach for Resource Allocation in Vehicular Ad-Hoc Networks
	1 Introduction
	2 System Description
		2.1 Communication Model
		2.2 Computation Model
	3 Problem Formulation
		3.1 System State
		3.2 System Action
		3.3 Reward Function
	4 Blockchain-Based Sharing Strategy
		4.1 Local DRL Training with Prioritized Experience Replay of VANET Node
		4.2 Blockchain Sharing Mechanism
	5 Simulation Results and Discussions
		5.1 Simulation Setup
		5.2 Simulation Results
	6 Conclusions and Future Work
	References
Ranging of Confocal Endoscopy Probe Using Recognition and Optical Flow Algorithm
	1 Introduction
	2 Principles and Methods
		2.1 Algorithm Process
		2.2 Dataset
		2.3 Crypt Recognition Algorithm
		2.4 Optical Flow
		2.5 Scale Calculation Method
		2.6 Experimental Reference Object
	3 Experimental Results
		3.1 Yolov3 Crypt Identification Results
		3.2 Endoscope Ranging Result by Optical Flow and Yolov3
	4 Conclusion
	References
Deployment Strategy of Highway RSUs for Vehicular Ad Hoc Networks Considering Accident Notification
	1 Introduction
	2 Related Work
	3 Network Scenarios
	4 Modeling of Information Delivery Delay
		4.1 Analysis of TRSU1
		4.2 Analysis of TRSU2
	5 Numerical Analysis
	6 Conclusion
	References
CPSOCKS: Cross-Platform Privacy Overlay Adapter Based on SOCKSv5 Protocol
	1 Introduction
	2 Related Work
	3 SOCKS v5 Protocol
	4 Proposed Solution
		4.1 Use Case
		4.2 Software Architecture
	5 Use Case and Experimental Evaluation
	6 Conclusions
	References
Nonlinear Optimization Method for PGC Demodulation of Interferometric Fiber-Optic Hydrophone
	1 Introduction
	2 Theory
	3 Simulation
		3.1 Simulation and Discussion of Associated Amplitude Modulation Index M
		3.2 Simulation and Discussion of Two-Channel Signal Carrier Amplitude Ratio Gp/Hp
		3.3 Simulation and Discussion of the Phase Difference K Between the Local Carrier and the Phase Carrier
	4 Conclusions
	References
MixKd: Mix Data Augmentation Guided Knowledge Distillation for Plant Leaf Disease Recognition
	1 Introduction
	2 Relate Work
		2.1 Data Augmentation
		2.2 Knowledge Distillation
	3 Method
	4 Experiment
		4.1 Datasets
		4.2 Experiment Setup
		4.3 Experimental Results on PlantDoc Dataset
		4.4 Visualization Comparison
	5 Conclusion
	References
Multiresolution Knowledge Distillation and Multi-level Fusion for Defect Detection
	1 Introduction
	2 Related Work
		2.1 Image Reconstruction
		2.2 Feature Modeling
	3 Method
		3.1 Knowledge Distillation
		3.2 Anomaly Detection
	4 Experiments
		4.1 Dataset
		4.2 Experimental Setup
		4.3 MVTec Anomaly Detection Dataset
		4.4 DAGM Dataset
	5 Ablation Study
		5.1 Fusing Weights of Multi-scale Anomaly Maps
		5.2 Number of Layers During Training
		5.3 Individual Layer v.s. Multi-level Layers
	6 Conclusion and Discussion
	References
A Novel Weighted-Distance Centralized Detection Method in Passive MIMO Radar
	1 Introduction
	2 Signal Model
	3 Weighted-Distance Centralized Detection Algorithm
	4 Simulations
	5 Conclusion
	References
Performer: A Resource Demand Forecasting Method for Data Centers
	1 Introduction
	2 RelatedWork
		2.1 Time-Series Forecasting
		2.2 Personalization Techniques of Federated Learning
	3 Methodology
		3.1 Overall Architecture
		3.2 Encoder
		3.3 Decoder
	4 Experiment
		4.1 Dataset
		4.2 Experiment Setting
		4.3 Main Results
		4.4 Ablation Studies
	5 Conclusion
	References
Optimizing Video QoS for eMBMS Users in the Internet of Vehicles
	1 Introduction
	2 Scene and Model
		2.1 System Scene
		2.2 LTE Physical Layer
		2.3 Multicast Grouping Model
		2.4 Resource Scheduling and Bit Rate Decision Models
		2.5 Wireless Transmission Model
		2.6 Problem Formulation
		2.7 Problem Modeling Based on Markov Decision Process
	3 Problem Solving with Soft Actor-Critic Algorithm
		3.1 Soft Value Function
		3.2 Critic Section
		3.3 Actor Section
		3.4 Soft Actor-Critic DRL Algorithm
	4 Analysis of Simulation Results
	5 Summarize
	References
Huffman Tree Based Multi-resolution Temporal Convolution Network for Electricity Time Series Prediction
	1 Introduction
	2 Related Work
	3 Preliminary
		3.1 Problem Setting
		3.2 Details of Electricity Cost Computation
	4 Huffman Tree Based Multi-resolution Temporal Convolution Network
		4.1 Overall Framwork
		4.2 Temporal Convolution Layers
		4.3 Huffman Tree Based Multi-resolution Information Extraction
	5 Electricity Cost Optimization
		5.1 Optimization of Electricity Cost
		5.2 Optimization of Basic Cost
	6 Experiments
		6.1 Experimental Setup
		6.2 Experimental Results
	7 Conclusion
	References
Deep Learning-Based Autonomous Cow Detection for Smart Livestock Farming
	1 Introduction
	2 Material and Methods
		2.1 Data Acquisition
		2.2 YOLOV4-SAM Model for Detecting Dairy Cow
		2.3 Loss Function
	3 Experimental Setup
		3.1 The Used Dataset
		3.2 Network Training Platform
	4 Results
		4.1 Detection Performance Comparison
		4.2 Detection Results of Key Body Parts of Cattle
		4.3 Application of Lame Detection in Dairy Cows
	5 Discussion
		5.1 Impact of Object Size and Number on Detection Performance
		5.2 Impact of Different Scenes on Detection Performance
		5.3 Analysis of YOLOv4-SAM Model Applicability
	6 Conclusions
	References
Author Index