Green, Pervasive, and Cloud Computing: 18th International Conference, GPC 2023, Harbin, China, September 22–24, 2023, Proceedings; Part II (Lecture Notes in Computer Science)

Preface
Organization
Contents – Part II
Contents – Part I
Edge Intelligence
OPECE: Optimal Placement of Edge Servers in Cloud Environment
	1 Introduction
		1.1 Motivation
		1.2 Our Contribution
	2 Problem Formulation
		2.1 Problem Modeling
		2.2 Time Computation Model
		2.3 Server Utilization Model
		2.4 Objective Function and Constraint
	3 OPECE
		3.1 Initialization
		3.2 Mutation
		3.3 Crossover
		3.4 Selection
		3.5 Iteration
	4 Evaluation
		4.1 Experimental Settings
		4.2 Performance Evaluation
	5 Related Work
	6 Conclusion
	References
Convolutional Neural Network Based QoS Prediction with Dimensional Correlation
	1 Introduction
	2 Related Work
	3 Proposed Model
		3.1 Input Layer
		3.2 Embedding Layer
		3.3 Interaction Layer
		3.4 Prediction Layer
		3.5 Model Training
		3.6 Energy Consumption Analysis
	4 Experiment and Analysis
		4.1 Dataset
		4.2 Evaluation Metrics
		4.3 Comparison Method
		4.4 Parameter Setting
		4.5 Performance Comparison and Analysis
		4.6 Impact of Parameters
		4.7 Ablation Study
	5 Conclusion
	References
Multiple Relays Assisted MEC System for Dynamic Offloading and Resource Scheduling with Energy Harvesting
	1 Introduction
	2 System Model
		2.1 Multi-relay Assisted Model
		2.2 Task Generation and Local Computation
		2.3 Relay Offloading and Energy Consumption
		2.4 Total Delay and Energy Consumption
		2.5 Energy Harvesting and Battery Energy Levels
		2.6 Problem Formation
	3 Algorithm Design
		3.1 Problem Transfer
		3.2 Problem Decomposition
	4 Algorithm Performance and Simulation Results
	5 Conclusion
	References
A Cloud Computing User Experience Focused Load Balancing Method Based on Modified CMA-ES Algorithm
	1 Introduction
	2 Related Work
		2.1 IaaS Cloud Computing Load Balance Problem
		2.2 CMA-ES Algorithms
	3 Problem Description
	4 Methodology
		4.1 CMA-ES Algorithm
		4.2 Modified CMA-ES and Its Implement
		4.3 Warm Starting Method
		4.4 Elite Set Shifting Mechanism
		4.5 Steps of Proposed WS-ESS-CMA-ES
	5 Experiment Results
	6 Conclusion and Future Work
		6.1 Conclusion
		6.2 Future Work
	References
Energy-Efficient Task Offloading in UAV-Enabled MEC via Multi-agent Reinforcement Learning
	1 Introduction
	2 Related Works
	3 System Architecture
		3.1 Communication Model
		3.2 Task Computation Model
		3.3 Problem Formulation
	4 Proposed Solution
		4.1 Problem Transformation
		4.2 MADDPG-Based Algorithm
	5 Performance Evaluation
	6 Conclusion
	References
FedRKG: A Privacy-Preserving Federated Recommendation Framework via Knowledge Graph Enhancement
	1 Introduction
	2 Related Work
		2.1 Knowledge Graph Based Recommendation
		2.2 Federated Learning for Recommendation System
	3 Federated Recommendation with Knowledge Graph Enhancement
		3.1 Problem Definition
		3.2 Framework Overview
		3.3 Client Design
		3.4 Server Design
		3.5 Privacy-Preserving Communication
	4 Experiment
		4.1 Datasets
		4.2 Baselines
		4.3 Experimental Settings
		4.4 Overall Comparison
		4.5 Sensitivity Analysis
	5 Conclusion
	References
Efficient and Reliable Federated Recommendation System in Temporal Scenarios
	1 Introduction
	2 Related Work
	3 Preliminaries
		3.1 Matrix Factorization
		3.2 Neural Collaborative Filtering
		3.3 Federated Learning
	4 The Implementation Details of the Proposed Federated Neural Tensor Factorization (FedNTF)
	5 Experiment
		5.1 Experimental Setting
		5.2 Experimental Result
	6 Conclusion
	References
UAV-D2D Assisted Latency Minimization and Load Balancing in Mobile Edge Computing with Deep Reinforcement Learning
	1 Introduction
	2 Related Work
	3 System Model
		3.1 UAV Trajectory Model
		3.2 Communication Model
		3.3 Task Offloading Model
		3.4 Task Computing Model
		3.5 Problem Formulation
	4 Proposed Approach
		4.1 Algorithm DDPG
		4.2 MDP Model
	5 Simulation Results
	6 Conclusion
	References
Mobile Sensing and Computing
A Study of WSN Localization Based on the Enhanced NGO Algorithm
	1 Introduction
	2 Construction of WSN Node Location Model
		2.1 Classic DV-Hop Algorithm
		2.2 Northern Goshawk (NGO) Algorithm
	3 Improve the NGO Algorithm
		3.1 Population Initialization
		3.2 Mixed Reverse Learning Strategies
		3.3 Algorithm Steps in This Paper
	4 Simulation Experiment and Result Analysis
		4.1 Simulation Experiment
		4.2 Analysis of Experimental Results
	5 Concluding
	References
A Novel Framework for Adaptive Quadruped Robot Locomotion Learning in Uncertain Environments
	1 Introduction
	2 Related Work
	3 Method
		3.1 Base Policy
		3.2 Sampling-Interval-Adaptive Identification Strategy
		3.3 Simulation-to-Target-to-Simulation Joint Learning
	4 Experiment Setup
		4.1 Robot and Terrain
		4.2 Target Environments Setup
		4.3 Implementation Details
	5 Experiments
		5.1 Locomotion Performance in the Target Environments
		5.2 Accuracy of Parameter Identification
	6 Conclusions
	References
NLP-Based Test Co-evolution Prediction for IoT Application Maintenance
	1 Introduction
	2 Approach
		2.1 Task Definition
		2.2 Model Overview
		2.3 Model Building
	3 Dataset Collection
		3.1 Samples Collection
		3.2 Data Processing
	4 Evaluation
		4.1 Subjects
		4.2 Evaluation Metrics
		4.3 Experimental Settings
		4.4 Results
	5 Threats to Validity
	6 Related Work
	7 Conclusion and Future Work
	References
Cyber-Physical-Social Systems
Fine-Grained Access Control Proxy Re-encryption with HRA Security from Lattice
	1 Introduction
		1.1 Related Works
	2 Our Scheme
		2.1 Construction
		2.2 Correctness
		2.3 Security Analysis
		2.4 Comparison
	3 Access Policy Hidden
	4 Conclusion
	References
A Smart Glasses-Based Real-Time Micro-expressions Recognition System via Deep Neural Network
	1 Introduction
	2 Related Works
		2.1 Micro Expression Emotion Recognition
		2.2 Judging Emotions Through Smart Glasses
	3 Methods
		3.1 Face Point Detection and Feature Extraction
		3.2 Deep Learning Model
		3.3 System Design
	4 Model Training
		4.1 Training Environment and Dataset
		4.2 Data Preprocessing
		4.3 Judging Method of Emotion Label
		4.4 Model Training and Optimization
	5 System Scenario and Discussion
	6 Conclusion
	References
Pervasive and Green Computing
Genetic-A* Algorithm-Based Routing for Continuous-Flow Microfluidic Biochip in Intelligent Digital Healthcare
	1 Introduction
	2 Related Works
	3 Preliminaries
		3.1 Problem Description
		3.2 Problem Formulation
	4 Proposed Method
		4.1 Two-Stage A* Algorithm Steps
		4.2 GA* Algorithm Steps
	5 Experimental Results and Discussion
		5.1 Experiment Setup
		5.2 Experimental Results and Analysis
	6 Conclusion
	References
A Cloud-Based Sign Language Translation System via CNN with Smart Glasses
	1 Introduction
	2 Related Works
		2.1 Research Related to Sign Language Translation Technology
		2.2 Research Related to the Use of Smart Glasses Technology
	3 Methodology
		3.1 MediaPipe
		3.2 Convolutional Neural Network (CNN)
		3.3 System Design
	4 Experiments and Disscution
		4.1 Model Training with CNN
		4.2 Evaluation and Discussion
	5 Conclusion
	References
TBSA-Net: A Temperature-Based Structure-Aware Hand Pose Estimation Model in Infrared Images
	1 Introduction
	2 Related Works
	3 The Overall Structure of TBSA-Net
		3.1 PBNHead
		3.2 GCN Refine Module
		3.3 The Temperature Based Hand Judgement Model
		3.4 Loss Function
	4 Experiments
		4.1 Infrared Hand Keypoints Dataset
		4.2 Experiments Setting
		4.3 Comparison Experiments
		4.4 Ablation Studies
	5 Conclusion
	References
Chaotic Particle Swarm Algorithm for QoS Optimization in Smart Communities
	1 Introduction
	2 Community Network Computing Tasks and Their Scheduling Models
		2.1 Task Calculation Model
		2.2 Optimal Scheduling Model Based on QoS Constraints
	3 Chaotic Strategies and Their Algorithms for QoS Optimization in Smart Community Networks
		3.1 Elementary Particle Swarm Algorithm
		3.2 Chaotic Particle Swarm Algorithm
	4 Algorithm Testing and Simulation
		4.1 Algorithm Performance Test
		4.2 Simulation Comparison of QoS Optimization Algorithms
	5 Conclusion
	References
Resource Binding and Module Placement Algorithms for Continuous-Flow Microfluidic Biochip in Intelligent Digital Healthcare
	1 Introduction
	2 Related Work
	3 Preliminaries
		3.1 Problem Description
		3.2 Problem Formulation
	4 Proposed Method
		4.1 Overall Introduction of the Algorithm
		4.2 Binding and Scheduling Design Based on List Scheduling Algorithm
		4.3 Layout Design Based on Improved Simulated Annealing Algorithm
	5 Experimental Results and Analysis
		5.1 Experimental Setup
		5.2 Protocol Scheduling Based on List Scheduling Algorithm
		5.3 Module Placement Results for Simulated Annealing Algorithm
	6 Conclusion
	References
Wireless and Ubiquitous Networking
Exploration and Application Based on Authentication, Authorization, Accounting in Home Broadband Scenario
	1 Introduction
	2 RADIUS Protocol Introduction
	3 Authentication and Accounting Based on FreeRadius
		3.1 Building FreeRadius Server
		3.2 Configuring MySQL Database
	4 DaloRadius Management
	5 Application Evaluation
	6 Conclusion and Future Work
	References
Autonomous Communication Decision Making Based on Graph Convolution Neural Network
	1 Introduction
	2 Related Works
		2.1 Multi-agent Communication Based on Gate Mechanism
		2.2 Multi-agent Communication Based on Attention Mechanism
		2.3 Multi-agent Communication Based on Graph Neural Network
	3 Problem Formulation
		3.1 Communication Topology
		3.2 Multi-agent Communication Decision
		3.3 Problem Define and Example
	4 The Proposed Method
		4.1 The Overview of DCGN
		4.2 Agent Relationship Building Module
		4.3 Graph Communication Enhancement Module
		4.4 Time Relationship Regularization Module
	5 Evaluation
		5.1 Settings
		5.2 Baselines
		5.3 Metrics
		5.4 Results
	6 Conclusion
	References
Author Index