Smart Computing and Communication: 5th International Conference, SmartCom 2020, Paris, France, December 29–31, 2020, Proceedings
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This book constitutes the proceedings of the 5th International Conference on Smart Computing and Communication, SmartCom 2020, which took place in Paris, France, during December 29-31, 2020. The 30 papers included in this book were carefully reviewed and selected from 162 submissions. The scope of SmartCom 2020 was broad, from smart data to smart communications, from smart cloud computing to smart security. The conference gathered all high-quality research/industrial papers related to smart computing and communications and aimed at proposing a reference guideline for further research. Preface Organization Contents A Post-processing Trajectory Publication Method Under Differential Privacy 1 Introduction 2 Preliminaries 2.1 Differential Privacy 2.2 Data Model 2.3 Inconsistency Problem 3 Proposed Methods 3.1 Differential Privacy Publishing of Trajectory 3.2 Constrained Inference 4 Evaluation 5 Conclusion References Chinese Clinical Named Entity Recognition Based on Stroke-Level and Radical-Level Features 1 Introduction 2 Related Work 3 Hierarchical Structure of Proposed Model 3.1 Embedding Layer 3.2 BiLSTM Layer 3.3 CRF Layer 4 Experiments and Results 4.1 Experimental Data and Evaluation Indicators 4.2 Model Building and Parameter Setting 4.3 Experimental Results 5 Conclusion References Vision-Based Autonomous Driving for Smart City: A Case for End-to-End Learning Utilizing Temporal Information 1 Introduction 2 Background and Related Works 3 Proposed Method: Temporal Conditional Imitation Learning (TCIL) 4 Proposed Model: CNN-LSTM Network 5 Experiment 5.1 Dataset 5.2 Training 5.3 Evaluation 6 Results 6.1 Comparison with the State-of-the-Art 6.2 Ablation Study 7 Conclusion References A Novel Estimation Method for the State of Charge of Lithium-Ion Battery Using Temporal Convolutional Network Under Multiple Working Conditions 1 Introduction 2 Our Proposed TCN for SOC Estimation 2.1 Causal Convolutions 2.2 Dilated Convolutions 2.3 Residual Block 2.4 Model Overall Structure 3 Performance Analysis 3.1 Dataset 3.2 Experimental Settings 3.3 SOC Estimation at Fixed Ambient Temperatures 3.4 SOC Estimation at Varying Ambient Temperatures 3.5 Comparative Analysis of Experimental Results 4 Conclusion References Research on Security Methods of Wireless Sensor Networks Based on Internet of Things Technology 1 Introduction 2 Characteristics of Wireless Sensor Networks 3 Several Commonly Used Attack Methods for Wireless Networks 4 Main Defense Methods of Wireless Sensor Network 5 Summary and Outlook 6 Funding Statement References Research on Multi-channel Pulse Amplitude Analyzer Based on FPGA 1 Introduction 2 Research Status 3 Multi-channel Pulse System Design 4 Experimental Results and Analysis 4.1 Master Function Timing Test 4.2 PWM Chopper Amplitude Modulation Test 5 Conclusion and Prospect References Towards Smart Building: Exploring of Indoor Microclimate Comfort Level Thermal Processes 1 Introduction 2 Literature Review 3 Mathematical Model 3.1 Heat Balance Equation on Indoor Environment 4 Simulation Results and Discussion 5 Conclusion References Container Memory Live Migration in Wide Area Network 1 Introduction 2 Related Work 3 Methodology 4 Key Designs 4.1 Dirty Page Tracking 4.2 Dirty Page Popularity-Based Migration Algorithm 5 System Modules 6 Evaluation 7 Conclusion References vRAS: An Efficient Virtualized Resource Allocation Scheme 1 Introduction 2 Problem Definition 3 vRAS 3.1 System Structure 3.2 vRAS Functionality 3.3 Estimation of Resource Requirements 3.4 Determination of Resource Allocation Sizes 4 Performance Evaluation 5 Conclusion References HOOD: High-Order Orthogonal Decomposition for Tensors 1 Introduction 2 Related Work 3 Preliminaries 4 Method 5 Experiments 6 Conclusion References A GMM-Based Anomaly IP Detection Model from Security Logs 1 Introduction 2 Related Work and Comparision of Existing Methods 3 Detection Model 3.1 Algorithm Background Knowledge Introduction 3.2 Detection Model 4 Test Results 4.1 Data Set 4.2 Test Results 5 Conclusion References Intelligent Textbooks Based on Image Recognition Technology 1 Introduction 2 Related Work 3 Architecture 3.1 SSM Framework 3.2 Perceptual Hash Algorithm 3.3 OpenCV’s Template Matching Algorithm 4 Implementation and Results 4.1 System Analysis 4.2 Implementation of iOS Client 5 Conclusion Reference Visual Analytics for Basketball Star Card Market—Under the Background of the NBA Restart 1 Introduction 2 Data Description 2.1 Sample Selection 2.2 Data Crawling 2.3 Data Cleaning and Reorganization 3 Empirical Analysis 3.1 Price Distribution 3.2 Transaction Volume of Star Cards at Different Times 3.3 Price Trends and Reasons for Fluctuations 3.4 Price Rising Period 3.5 Price Down Period 4 Conclusion References An Effective Seafile Dockerfile for Raspberry Pi to Make Docker YAML Files for Treehouses 1 Introduction 2 Background Technology 2.1 Treehouses 2.2 Services.Sh 3 Docker Image Building 4 Starting the Seafile Container 5 Automate the Initiation of a Seafile Container 6 Debugging Technique 7 Conclusion References Design of a Hardware Accelerator for Zero-Knowledge Proof in Blockchains 1 Introduction 2 Groth16’s Calculation Steps and Software Implementation 2.1 Calculation Steps of Groth16 Algorithm 2.2 The Method of Software Implementation 3 Hardware Design and Implementation 3.1 FFT Units 3.2 ECP Units 3.3 MAC Units 4 Results and Analysis 5 Conclusion References Energy-Efficient Optimization Design for UAV-Assisted Wireless Powered MEC Systems 1 Introduction 2 System Model and Problem Formulation 2.1 Energy Consumption Based on Working Pattern 2.2 Problem Formulation 3 Proposed Solution 3.1 Charging Resources Allocation Optimization 3.2 IoTDs Associations Optimization 3.3 Working Mode Decisions Optimization 4 Experimental Results and Analysis 5 Conclusion References Privacy-Preserving Accelerated Clustering for Data Encrypted by Different Keys 1 Introduction 2 Preliminaries 2.1 k-Means Clustering 2.2 Avoiding Divisions 3 Model Description 3.1 System Model 3.2 Threat Model 4 Our Scheme 4.1 Secure Distance Computation 4.2 Secure Comparison 4.3 Privacy Preserving Accelerated Clustering 4.4 Security Analysis 5 Experimental Evaluation 6 Conclusions References Blockchain Technology in Automobile Insurance Claim Systems Research 1 Introduction 2 Related Work Research 3 Key Technology Contrast 3.1 Public or Permissioned 3.2 Node Selection and Consensus Algorithm 3.3 Encryption Algorithm 3.4 The Data Analysis 4 Challenges for Blockchain 4.1 Throughput and Scalability 4.2 User Privacy Issues 4.3 Smart Contract 5 Prospects 6 Conclusions References Birds Classification Based on Deep Transfer Learning 1 Introduction 1.1 Research Background 1.2 Frame of the Thesis 2 Work Foundation 2.1 Convolutional Neural Network 2.2 ResNeXt 2.3 Deep Transfer Learning 2.4 Model Fine-Tuning 3 Algorithm 4 Experimental Design 4.1 Data Set 4.2 Experimental Environment 4.3 Experimental Procedure 5 Analysis of Experimental Results 6 Conclusion References Research on Security Consensus Algorithm Based on Blockchain 1 Introduction 2 Introduction of Several Consensus Algorithms 2.1 CFT Consensus Algorithms 2.2 BFT Consensus Algorithms 3 Comparison of Consensus Algorithm Performance 4 Summary and Outlook References Design of Intelligent Detection and Alarm System for Accident Anti-collision Based on ARM Technology 1 Introduction 2 Research Status at Home and Abroad 3 Related Technology Introduction 3.1 Melis Window Introduction 3.2 Melis Message Mechanism 4 Anti-collision System Software Design 4.1 System Main Program 4.2 G-Sensor Control Design 4.3 Anti-collision Design 4.4 Anti-collision System Test Analysis 5 Summary and Outlook References Resisting Adversarial Examples via Wavelet Extension and Denoising 1 Introduction 2 Research Background 2.1 Adversarial Attacks 2.2 Defense Strategies 3 Methodology 3.1 Overview 3.2 Wavelet Extension 3.3 Wavelet Denoising 4 Evaluations 4.1 Experimental Settings and Implementations 4.2 Black-Box Scenario 4.3 White-Box Scenario 5 Conclusion References Privacy-Preserving Computing Framework for Encrypted Data Under Multiple Keys 1 Introduction 2 Related Work 3 Preliminaries 3.1 Additively Homomorphic Encryption (AHE) 3.2 AHE Under Multiple Keys 3.3 AHE Supports One Multiplication 3.4 AHE Supports One Multiplication Under Multiple Keys 4 Model Description 4.1 System Model 4.2 Threat Model 5 Privacy Preserving Computing Framework 5.1 Secure Addition Protocol (SA) 5.2 Secure Multiplication Protocol (SM) 5.3 Secure Exponentiation Protocol (SE) 6 Security Analysis 7 Experimental Evaluation 7.1 Performance of Our Scheme 7.2 Comparison with Existing Schemes 8 Conclusions References Deep Reinforcement Learning Based on Spatial-Temporal Context for IoT Video Sensors Object Tracking 1 Introduction 2 Related Works 2.1 Visual Object Tracking 2.2 Deep Reinforcement Learning 3 The Existing Popularity About Deep RL and STC Tracker (DRST) 3.1 Framework of DRST 3.2 DRST Networks 3.3 STC and RL Tracking 3.4 Algorithm Implementation 4 Experiments and Performance Evaluation 4.1 Comparison Experiments Based on DRST 5 Conclusions References Imputation for Missing Items in a Stream Data Based on Gamma Distribution 1 Introduction 2 Related Work 3 Stream Data and Data Distribution 3.1 Concepts 3.2 Data Missing in a Stream 3.3 Metrics of Data Imputation 4 Data Imputation Based on Gamma Distribution 4.1 Gamma Distribution Parameters 4.2 Calculating the Number of Missing Data Items 4.3 Estimating the Values of Missing Data Items 4.4 Theoretical Analysis 5 Experimental Evaluations 5.1 Experimental Environment and Setup 5.2 Experimental Results 6 Conclusions References Electronic Stethoscope for Heartbeat Abnormality Detection 1 Introduction 2 Modules of the Electronic Stethoscope and Its System 2.1 Data Collection Module 2.2 Heart Tone Preprocessing Module 2.3 Heart Sound Signal Processing Module 2.4 User Interface 3 Scheme for Building Machine Learning for Classification 3.1 Data Acquisition 3.2 Data Preprocessing 3.3 Characteristics of Sound Identification 4 A Review of the App with a Stethoscope 5 Discussion and Conclusion References Geometric Surface Image Prediction for Image Recognition Enhancement 1 Introduction 2 Related Work 3 Approach 3.1 Photometric Data Preparation 3.2 GAN-Based Model Training for Normal Map Prediction 4 Evaluation 4.1 Ambiguity Evaluation 4.2 Few-Shot Image Recognition Evaluation 5 Conclusion and Future Work References A Novel Approach for Robust and Effective Pose Estimation via Visual-Inertial Fusion 1 Introduction 2 Related Works 2.1 Orientation Estimation with IMU 2.2 Pose Estimation by Fusing Visual and IMU Measurements 3 Fast and Accurate Pose Estimation Fusing Vision and IMU Measurements 3.1 Madgwick Algorithm 3.2 New Concept – Virtual Magnetic Field 3.3 Proposed Fusion Method – Virtual Magnetic Field Based Fusion 4 Experimental Results 4.1 Experimental Setup 4.2 Results 5 Conclusions References A Novel Image Recognition Method Based on CNN Algorithm 1 Introduction 2 Related Work 3 Architecture 3.1 Support Vector Machine Recognition Algorithm 3.2 Convolutional Neural Network Recognition Algorithm 4 Experiments 4.1 The Dataset 4.2 Environment Construction 4.3 Environment Configuration 4.4 Comparison of SVM Recognition Results 4.5 Comparison of Convolutional Neural Network Results 4.6 Two Ways to Compare 5 Conclusion References Author Index
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