Mobile Multimedia Communications

Name: Mobile Multimedia Communications | 14th EAI International Conference, Mobimedia 2021, Virtual Event, July 23-25, 2021, Proceedings
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14th EAI International Conference, Mobimedia 2021, Virtual Event, July 23-25, 2021, Proceedings

Jinbo Xiong Shaoen Wu Changgen Peng Youliang Tian(Herausgeber*in)

Springer (Verlag)

Erschienen am 2. November 2021

XIX, 891 Seiten

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978-3-030-89814-4 (ISBN)

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Inhalt

Intro
Preface
Organization
Contents
Internet of Things and Wireless Communications
Physical-Layer Network Coding in 6G Enabled Marine Internet of Things
1 Introduction
2 Asymmetric Shallow Seawater Acoustic Channel Model
2.1 Point-To-Point Ray Model
2.2 Asymmetric Two-Way Relay Underwater Acoustic Channel Model
3 Existing Physical Layer Network Coding Scheme
3.1 Physical Layer Network Coding Scheme
3.2 Bi-orthogonal Physical Layer Network Coding Scheme
4 Underwater Asymmetric Physical Layer Network Coding Scheme
4.1 Channel Compensation Preprocessing
4.2 Asymmetric Physical Layer Network Coding Scheme
5 Simulation and Analysis
6 Conclusion
References
A New Load Balance Scheme for Heterogeneous Entities in Cloud Network Convergence
1 Introduction
1.1 Related Works
2 Contributions
2.1 Organization
3 The Model and Requirements of Load Balance for Heterogeneous Entities
3.1 Entities Model
3.2 Load Balance Requirements
4 Design of Load Balance System Architecture
4.1 Service Request Learner
4.2 Local Resource Monitor
4.3 Global Resource Scheduler
4.4 Physical Machine
5 Load Balance Scheme in Cloud Network Convergence
5.1 From Idle State to Normal State
5.2 From Normal State to Busy State
5.3 From Busy State to Normal State or Form Normal State to Idle State
6 Result and Discussion
7 Conclusion
References
Enhancing Wi-Fi Device Authentication Protocol Leveraging Channel State Information
1 Introduction
2 Framework Overview
2.1 Authentication in Access Phase
2.2 Authentication in Association Phase
3 Authentication Leveraging CSI Fingerprint
3.1 Basic Idea
3.2 Algorithm Description
4 CSI Fingerprint Update
4.1 CSI Fingerprint Update in Access Phase
4.2 CSI Fingerprint Update in Association Phase
5 The CSI-based Authentication Protocol
5.1 The Authentication Procedure in Access Phase
5.2 The Continuous Authentication in Association Phase
6 Performance Evaluation
7 Conclusion
References
Reverse Analysis Method of Unknown Protocol Syntax in Mobile Multimedia Communications
1 Introduction
2 Related Work
3 Protocol Feature Extraction Algorithm
3.1 Algorithm Flow
3.2 Algorithm Flow
3.3 Algorithm Evaluation
4 Experimental Results and Analysis
5 Conclusion
References
Key Technologies of Space-Air-Ground Integrated Network: A Comprehensive Review
1 Introduction
2 Space-Air-Ground Integrated Network
2.1 Network Architecture
2.2 Network Requirements
3 Exiting Issues and Challenges
4 Key Technology
4.1 Mobile Edge Computing
4.2 Software Defined Network
4.3 Network Slicing
4.4 Deep Reinforcement Learning
5 Conclusion
References
Decentralized Certificate Management for Network Function Virtualization (NFV) Implementation in 5G Networks
1 Introduction
2 Related Works
3 Issues and Challenges
4 Decentralized NFV Certificate Management
4.1 Framework
4.2 Certificate Enrollment
4.3 Certificate Revocation
4.4 Certificate Renewal
4.5 Certificate Inquiry
5 Performance Consideration
5.1 Transaction Efficiency of Certificate Management
5.2 Transaction Delay
5.3 Performance of Certificate Inquiry
5.4 Other Considerations
6 Conclusion
References
Stochastic Performance Analysis of Edge-Device Collaboration
1 Introduction
2 System Model
3 Performance Analysis
3.1 General Delay Violation Probability
3.2 Local Execution Delay Performance
3.3 Edge Execution Delay Performance
3.4 Problem Solution
4 Results
5 Conclusions
References
Hybrid Human-Artificial Intelligence Enabled Edge Caching Based on Interest Evolution
1 Introduction
2 System Model
3 Individual Interest Evolution
3.1 Feature Embedding
3.2 Interest Extraction
3.3 User Interest Evolution
3.4 Output Layer
4 Hybrid Human-Artificial Intelligence Caching Scheme
5 Experiment Results
6 Conclusions
References
A New Way of Mobile Energy Trading
1 Introduction
2 Preliminaries
2.1 Lightning Network
2.2 Multiple Short Signature Scheme [14]
3 The Proposed Scheme
3.1 System Model
3.2 Registration
3.3 Transaction Application
3.4 Off-Chain Transaction
4 Analysis
4.1 Security Analysis
4.2 Transaction Performance Analysis
5 Conclusion
References
A SCATC-Based Blockchain Index Structure
1 Introduction
2 Related Works
3 SCATC Index Structure
3.1 Index Design
3.2 Algorithm Design
4 Experiment and Analysis
4.1 Efficiency Analysis
4.2 Simulation Experiment
5 Conclusions
References
Communication Strategy Optimization and Task Scheduling
Comprehensive Valuation of Environmental Cost Based on Entropy Weight Method
1 Introduction
1.1 Background and Problem Analysis
2 Symbols and Definitions
3 The Model
3.1 Comprehensive Evaluation
3.2 Environmental Degradation in Project Costs
3.3 Comprehensive Valuation of Project
3.4 Comprehensive Valuation of Hong Kong Island
4 Impact of Modeling on Land-Use Project Planners and Managers
5 Time-Varying Models
6 Sensitivity Analysis
References
A QoE Evaluation and Adaptation Method for Multi-player Online Games
1 Introduction
1.1 Motivation
1.2 Challenges and Existing Solutions
1.3 Methodology and Innovations
1.4 Organization
2 Research Challenges and Existing Solutions to Address These Challenges
3 Proposed QoE Evaluation/Adaptation Method
3.1 System Framework
3.2 QoE Assessment
3.3 The Concept of Effective QoE
3.4 The QoE Evaluation/Adaptation Method
4 Case Study
5 Future Directions and Open Problems
6 Conclusions
References
Traffic Characteristic and Overhead Analysis for Wireless Networks Based on Stochastic Network Calculus
1 Introduction
2 System Model
3 Performance Analysis
3.1 Stochastic Network Calculus Basics
3.2 Solution of the Optimization Problem
4 Numerical Results and Analysis
4.1 Impacts of Packet Size on the Minimum Transmission Rate and Overhead Arrival Rate
4.2 Impacts of Control Overheads on Packet Loss Probability
4.3 Impacts of Data Overheads on Packet Loss Probability
5 Conclusions
References
Entity Relationship Modeling for Enterprise Data Space Construction Driven by a Dynamic Detecting Probe
1 Introduction
2 Related Work
3 Our Customized Framework
3.1 Schema Similarity Model
3.2 Instance Similarity Model
3.3 Log Similarity Model
3.4 Fuzzy Logic Similarity
4 Experiment
4.1 Comparison of Experiments for the Different Solutions of Data Space Entity Association
5 Conclusion
References
Software-Defined Task Scheduling Strategy Towards Edge Computing
1 Introduction
2 System Architecture and Network Model
3 Collaborative Cluster Formation Algorithm Based on Social Attributes
3.1 Rating Feedback Mechanism Based on Historical Information
3.2 Evaluation of Collaboration Benefits
3.3 Social Attribute Driven Bidirectional Selection Clustering Algorithm
4 Collaborative Scheduling Strategy in Cluster
4.1 Idle User Selection
4.2 Task Scheduling
5 Numerical Results and Analysis
6 Conclusion
References
Intelligent Reflecting Surface-Assisted Full-Duplex UAV-Based Mobile Relay Communication
1 Introduction
2 System Model and Problem Formulation
2.1 System Model
2.2 Transmission Process
2.3 Problem Formulation
3 Proposed Algorithm
3.1 Optimization of Phase Shifter
3.2 Optimization of Trajectory
3.3 Optimization of Transmit Power
3.4 Overall Algorithm
4 Simulation Result
5 Conclusion
References
Edge Cache Resource Allocation Strategy with Incentive Mechanism
1 Research Background
2 System Model
2.1 Network Model
2.2 Incentive Mechanism Model
2.3 Encounter Probability and Content Request Probability Model
3 Cache Resource Allocation Policy
3.1 Stackelberg Game Model
3.2 The Utility Function
3.3 Problem Solving and Resource Allocation Algorithm
4 Experiment
4.1 Parameters
4.2 Main Results
5 Conclusion
References
Energy-Efficient Optimization for Joint Design of Power Allocation and Beamforming in Downlink mmWave Communication Systems with NOMA
1 Introduction
2 System Model and Problem Formulation
2.1 System Model
2.2 Problem Formulation
3 Joint PA and BF Design Schemes
3.1 Solution of PA Problem
3.2 Solution of BF Design Problem
3.3 Complexity Analysis
4 Simulation Results
5 Conclusion
References
Cryptography Security and Privacy Protection
A Reliable Voice Perceptual Hash Authentication Algorithm
1 Introduction
2 Voice Perceptual Hash Construction Algorithm
2.1 MFCC Extraction
2.2 Feature Matrix Construction
2.3 Feature Matrix Factorization
2.4 Perceptual Hash Chain Construction
3 Perceptual Hash Authentication
4 Experimental Results and Analysis
4.1 Distinguishability
4.2 Robustness
5 Summary and Prospect
References
PAID: Privacy-Preserving Incentive Mechanism Based on Truth Discovery for Mobile Crowdsensing
1 Introduction
2 Problem Statement
2.1 Truth Discovery
2.2 Design Goals
3 Preliminaries
3.1 Secret Sharing
3.2 Key Agreement
3.3 Paillier Cryptosystem
4 Technical Intuition
4.1 Interval Judgment Scheme for Privacy Protection
4.2 One-Masking to Protect Security
4.3 Double-Masking to Protect Security
4.4 Secure Truth Discovery
5 Our Proposed Scheme
6 Analysis
6.1 Property Analysis
6.2 Privacy Analysis
6.3 Security Analysis
7 Performance Evaluation
7.1 Computational Overhead
7.2 Communication Overhead
8 Related Work
9 Conclusion
References
An Efficient Certificateless Cloud Data Integrity Detection Scheme for Ecological Data
1 Introduction
2 Related Work
3 Background
3.1 Bilinear Pairings
4 System Model
5 Scheme
5.1 Setup
5.2 KeyGen
5.3 TagGen
5.4 ChalGen
5.5 ProofGen
5.6 ProofVerif
6 Correctness Analysis
7 Security Proof
7.1 Security Mode
7.2 Security Analysis
8 Performance
8.1 Computation Cost
8.2 Communication Cost
9 Conclusion
References
A Novel Privacy-Preserving Selective Data Aggregation with Revocation for Fog-Assisted IoT
1 Introduction
2 Preliminaries
2.1 Network Architecture
2.2 Threat Model and Security Requeriments
2.3 Design Goals
2.4 Modified Paillier Homomorphic Cryptosystem
3 The Proposed Scheme
3.1 System Setup
3.2 Data Generation
3.3 Fog-Assisted Selective Aggregation
3.4 Data Reading and Verification
3.5 Revocation
4 Security Analysis
5 Conclusion
References
A Novel Location Privacy-Preserving Task Allocation Scheme for Spatial Crowdsourcing
1 Introduction
2 Preliminaries
2.1 Paillier Cryptosystem
2.2 Spatial Crowdsourcing
2.3 Notations
3 Problem Formulation
3.1 System Model
3.2 Threat Model
4 The Proposed Scheme
4.1 Overview
4.2 Scheme Details
5 Security and Performance Analysis
5.1 Security Analysis
5.2 Performance Analysis
6 Related Work
7 Conclusion
References
Efficient RLWE-Based Multi-key Fully Homomorphic Encryption Without Key-Switching
1 Introduction
1.1 Background
1.2 Our Contributions
1.3 Overview of Our Construction
2 Preliminaries
2.1 Basic Notation
2.2 Leveled Multi-key FHE
2.3 RLWE Problem
2.4 Two Techniques
2.5 Relinearization Algorithm in CDKS19
3 Optimizations of the Relinearization
3.1 Two Optimized Generation Algorithms of Evaluation Key
3.2 The Optimized Relinearization
3.3 Analysis of the Relinearization
4 New Construction of BGV-Type MKFHE Scheme
4.1 The Ciphertext Extension
4.2 Detail Construction
4.3 Analysis of the Scheme
5 Conclusion
Appendix
A. Time Complexity
B. Error Analysis
References
Improved Attribute Proxy Re-encryption Scheme
1 Introduction
2 Related Work
3 Preliminaries
3.1 System Role
4 Protocol and Algorithm Design
4.1 Scheme Design
4.2 Algorithm Component
4.3 Proposed Procedures
5 Experiments and Analysis
5.1 Performance Analysis
6 Conclusion
References
De-anonymization Attack Method of Mobility Trajectory Data Based on Semantic Trajectory Pattern
1 Introduction
2 Related Works
3 Definitions and Attack Model
3.1 Definitions
3.2 Attack Model
4 Semantic Trajectory Mode Acquisition
4.1 Extraction of Stay Region
4.2 Semantic Stay Region
4.3 Semantic Trajectory Pattern Acquisition Algorithm
5 De-anonymization Attack Methods
5.1 An Approach Overview
5.2 Constructing Mobility Profiles
5.3 Comparing Mobility Profiles
6 Evaluation
6.1 Experimental Setup
6.2 Competitors
6.3 Experiment Analysis
7 Conclusion
References
Friendship Protection: A Trust-Based Shamir Secret Sharing Anti-collusion Attack Strategy for Friend Search Engines
1 Introduction
2 Related Works
2.1 Attacks Against Friendship Privacy
2.2 Preservation of Friendship Privacy
3 Collusion Attack Strategy
3.1 Definition
3.2 Attack Model
4 Anti-collusion Attack Strategy
4.1 Credibility Calculations
4.2 Shamir Secret Sharing System
4.3 Friend Search Engine with the SSS System
5 Experiment
5.1 Datasets
5.2 Comparison Plan
5.3 Performance Analysis
6 Conclusion
References
Privacy Computing Technology
A Rational Delegating Computation Protocol Based on Smart Contract
1 Introduction
2 Preliminaries
2.1 Game Theory
2.2 Smart Contract
2.3 System Model
3 Incentive Contract
3.1 Deposit Variables
3.2 Contract Content
4 The Proposed Reputation Scheme
4.1 Reputation Certificate
4.2 Search of Historical Reputation
4.3 Evaluation of Current Reputation
4.4 Computation of Global Reputation
4.5 Update of Reputation Certificate
5 Protocol Proof
5.1 Fairness Proof
5.2 Correctness Proof
6 Conclusion
References
Privacy-Preserving Subset Aggregation with Local Differential Privacy in Fog-Based IoT
1 Introduction
2 Related Work
3 System Model and Design Goal
3.1 System Model
3.2 Security Model
3.3 Design Goal
4 Our Proposed Scheme
4.1 Workflow
4.2 Local Differential Privacy Jaccard Similarity Estimation
4.3 Local Differential Privacy Truth Discovery
5 Evaluation
5.1 Experiment
5.2 Analysis
6 Conclusion
References
A Survey on Spatial Keyword Search over Encrypted Data
1 Introduction
2 Background
2.1 Textual Index
2.2 Spatial Indexing
2.3 Combination Indexing Schemes
3 Evaluation and Categorizations Criteria for Secure Queries
3.1 Categorization Criteria
3.2 Evaluation Criteria
3.3 Security Requirements (SR)
3.4 Privacy Requirements (PR)
3.5 Performance Requirements (PR)
4 Literature Review
4.1 Secure Textual Query
4.2 Secure Spatial Query
4.3 Secure Spatial Keyword Query
5 Comparison, Analysis, and Summary
6 Open Research Issues and Future Research Directions
6.1 Open Issues
6.2 Future Direction
7 Conclusion
References
Real-Time Stream Statistics via Local Differential Privacy in Mobile Crowdsensing
1 Introduction
2 Related Works
3 Preliminaries and Models
3.1 Local Differential Privacy
3.2 Model Formalization
3.3 Problem Definition
4 Our Solution
4.1 Design Rationales and Overview
4.2 Local Perturbation on the Client Side
4.3 Aggregation and Estimation with Error Reduction on the Server Side
5 Experiments
5.1 Evaluation Setup
5.2 Experimental Results
6 Conclusion
References
Privacy-Preserving Property Prediction for New Drugs with MPNN
1 Introduction
2 Related Work
3 Preliminaries
3.1 Message Passing Neural Network (MPNN)
3.2 Basic Definitions
3.3 Basic Secure n-Party Protocols
4 System Architecture
4.1 System Model
4.2 Attack Model
5 Building Blocks: Secure n-Party Protocol
5.1 Secure n-Party Multiplication Protocol
5.2 Secure n-Party Comparison Protocol
6 Privacy-Preserving Property Prediction of New Drugs
6.1 Secure Message Function
6.2 Secure Update Function
6.3 Secure Readout Function
7 Theoretical Analysis
7.1 Correctness
7.2 Security
7.3 Efficiency
8 Experiment
8.1 Performance Evaluation of the Sub-protocols in SecMPNN
8.2 Performance Evaluation of SecMPNN
9 Conclusions
References
Privacy-Preserving Computation Tookit on Floating-Point Numbers
1 Introduction
2 Related Work
3 Preliminary
3.1 Distributed Two Trapdoors Public-Key Cryptosystem
3.2 Privacy-Preserving Multiple Keys Integer Protocol
3.3 Floating-Point Number
4 System Model and Privacy Requirement
4.1 System Model
4.2 Threat Model
5 Privacy-Preserving FPN Computation Protocols
5.1 Secure FPN Addition
5.2 Secure FPN Multiplication
5.3 Secure Integer Digits
5.4 Secure Integer Modular Calculation
5.5 Secure FPN Division
6 Security Analysis
7 Experiment Analysis
8 Conclusion
References
Vendor-Based Privacy-Preserving POI Recommendation Network
1 Introduction
2 Background
2.1 Centralized Recommendations
2.2 Decentralized Recommendations
3 Model and Methodology
3.1 Preliminaries
3.2 Problem Description
3.3 Generating Recommendations
3.4 The Algorithm
3.5 System Update and Maintenance
4 Experiments
4.1 Datasets
4.2 Evaluation Metrics
4.3 Results and Discussion
5 Conclusion and Future Work
References
Cyberspace Security and Access Control
Fine-Grained Collaborative Access Control for IPFS with Efficient Revocation
1 Introduction
2 Preliminaries
2.1 Bilinear Maps
2.2 Application Scenario of GORE-ABE
3 Construction of GORE-ABE
3.1 Setup
3.2 KeyGen
3.3 Encryption
3.4 Decryption
3.5 KeyUpdate
4 Security Analysis
5 Performance Evaluation
5.1 Computational Complexity
5.2 Computational Complexity
6 Conclusion
References
Towards Efficient Fine-Grained Access Control and Data Privacy Protection for Smart Home
1 Introduction
1.1 Organization
2 Preliminaries
2.1 Bilinear Group
2.2 Hard Problem
2.3 Updatable Encryption
2.4 SM9 Identity-Based Encryption (SM9-IBE)
3 System Model and Attack Model
3.1 System Model
3.2 Overview
3.3 Attack Model
4 SM9-UE Scheme
5 Security Analysis
5.1 Security Model
5.2 Security Proof
6 Performance Evaluation
6.1 Theoretical Analysis
6.2 Implementation and Evaluation
7 Conclusion and Further Problem
References
Scale Variable Dynamic Stream Anomaly Detection with Multi-chain Queue Structure
1 Introduction
2 Related Work
3 Scale Variable Dynamic Stream Anomaly Detection
3.1 Multi-chain Queue Structure
3.2 Multiscale Convergence Function
3.3 Dissimilarity Measurement
3.4 Stream Anomaly Detection Algorithm
3.5 Efficiency Analysis
4 Experiments
4.1 Data Information
4.2 Result and Discussion
5 Conclusions
References
Network Security Situational Awareness Model Based on Threat Intelligence
1 Introduction
2 Related Work
3 Situation Perception Method Based on Similarity
3.1 Definition of Threat Intelligence
3.2 Situational Perception Method for Threats
4 Offensive and Defensive Game Model
4.1 Quantification Method of Security Situation Value
4.2 Attack Prediction
5 Experimental Results and Analysis
6 Conclusion
References
Research Progress and Future Trend Analysis of Network Security Situational Awareness
1 Introduction
2 Definition and Development of Network Security Situational Awareness
3 Key Technologies of Network Security Situational Awareness
3.1 Key Technologies of Network Security Situation Feature Elements Extraction
3.2 Key Technologies for Network Security Situation Assessment
3.3 Key Technologies for Network Security Situation Prediction
4 Summary and Prospect
References
An Improved DDoS Attack Detection Model Based on Unsupervised Learning in Smart Grid
1 Introduction
2 Related Work
3 Proposed Method
3.1 Data Pre-processing
3.2 Pre-classify Dataset Using BIRCH Algorithm
3.3 Determine Detection Threshold and Build Detection Model
4 Experimental Analysis and Results
4.1 Introduction of the Dataset
4.2 The Results of the Experiment
5 Summary
References
Intrusion Detection System Based on Improved Artificial Immune Algorithm
1 Introduction
2 Definition of Related Algorithms
2.1 Negative Selection Algorithm
2.2 Genetic Algorithm
3 Intrusion Detection System Based on Improved Negative Selection Algorithm
3.1 Data Set
3.2 Related Functional Modules
3.3 The Whole Frame
4 Experiment
5 Conclusion
References
A Smart Access Control Mechanism Based on User Preference in Online Social Networks
1 Introduction
2 Basic Knowledge
2.1 SVM
2.2 Information Entropy
3 Smart Access Control of User Preferences Based on SVM
3.1 Quantitative Analysis of User Preferences
3.2 Access Control Mechanism of Social Network Based on User Preference
3.3 Access Control Policy Generation Method
4 Analysis of Experiment and Application Examples
4.1 Data Set
4.2 Comparison of Models
4.3 Development Platform and Environment
4.4 Experimental Results Comparison
5 Comparison
6 Conclusion
References
Neural Networks and Feature Learning
Multi-scale Two-Way Deblurring Network for Non-uniform Single Image Deblurring
1 Introduction
2 Related Work
3 Proposed Method
3.1 Multi-scale Two-Way Deblurring Network
3.2 Loss Function
4 Experiment
5 Conclusion
References
BMP Color Images Steganographer Detection Based on Deep Learning
1 Introduction
2 Related Work
2.1 Color Images Steganalysis
2.2 Steganographer Detection
3 Method
3.1 Feature Extraction
3.2 DBSCAN Clustering Sorting to Detect Steganographer
4 Experiments
4.1 Data Set and Experimental Setup
4.2 Evaluation of the Effectiveness of Feature Extraction Methods
4.3 Effectiveness of Steganographer Detection
4.4 Validity Assessment with Different User Graph Percentages
5 Conclusion
References
UserRBPM: User Retweet Behavior Prediction with Graph Representation Learning
1 Introduction
2 Related Work
2.1 User Retweet Behavior Prediction
2.2 Graph Representation Learning
3 Problem Formulation
4 Model Framework
4.1 Sampling Near Neighbors
4.2 Graph Neural Networks Model
5 Experiment Setup
5.1 Dataset Presentation and Processing
5.2 Comparison Methods
5.3 Implementation Details
6 Experiment Results
6.1 Prediction Performance Analysis
6.2 Parameter Sensitivity Analysis
7 Conclusion
References
Mining Personal Health Satisfaction and Disease Index from Medical Examinations
1 Introduction
2 Related Works
3 PHS Calculation Framework
3.1 Data Pre-processing
3.2 Feature Selection
3.3 PHI and Prediction Models
3.4 PHS Calibration
4 Experimental Evaluation
4.1 Dataset Description
4.2 Experiment Setup
4.3 Experiment Results
4.4 Data Processing Platform
5 Conclusion
References
Visualizing Symbolic Music via Textualization: An Empirical Study on Chinese Traditional Folk Music
1 Introduction
2 Clustering Model
2.1 Basic Principles
3 Implementation
3.1 Dataset
3.2 Data Preprocessing
3.3 Model Using
3.4 Algorithm
4 Objective Metrics for Evaluation
5 Experiment and Results
6 Conclusion
References
Activity Behavior Pattern Mining and Recognition
1 Introduction
2 Overview
2.1 Definitions and Problem Statements
2.2 Research Outline
3 Methodology
3.1 Similarity Computation
3.2 Pattern Mining and Identification
4 Experiments and Analysis
4.1 Data Preprocessing
4.2 Determining Parameters of Clustering
4.3 Activity Behavior Pattern Mining
4.4 Socio-demographic Pattern Mining
4.5 Characteristics of Activity Behavior and Socio-demographic Pattern
4.6 Pattern Identification
5 Conclusion and Future Work
References
ADS-B Signal Separation Via Complex Neural Network
1 Introduction
2 Additional Background Knowledge
2.1 Signal Structure
2.2 Collision Pattern
3 Data Set Generation and Complex Neural Network
3.1 Data Set Generation
3.2 Complex Neural Network
4 Experiments
4.1 Experimental Setup
4.2 Evaluating Indicator
4.3 Experiment and Analysis
5 Conclusion
References
A New Ensemble Pruning Method Based on Margin and Diversity
1 Introduction
2 Proposed Method
2.1 Generate Base Classifier Pool
2.2 Base Classifier Evaluation
3 Experiments and Results
3.1 Datasets and Experimental Setup
3.2 Comparative Analysis of the Proposed Method to the State-of-the-Art Ensemble Learning Methods
4 Conclusion
References
Construct Forensic Evidence Networks from Information Fragments
1 Introduction
2 Review
3 Proposal
4 Experiments
5 Conclusion and Future Work
References
Matching Ontologies Through Siamese Neural Network
1 Introduction
2 Preliminary
2.1 Ontology and Ontology Matching
2.2 Performance Metrics
3 Methodology
3.1 Data Set
3.2 Siamese Neural Network
3.3 The Alignment Determination
4 Experiment
5 Conclusion
References
Task Classification and Prediction
Study on the Influence of Attention Mechanism in Large-Scale Sea Surface Temperature Prediction Based on Temporal Convolutional Network
1 Introduction
2 Data and Method
2.1 A Subsection Sample
2.2 Method
3 Result and Analysis
4 Summary
References
Automatic Modulation Classification Using Convolutional Recurrent Attention Network
1 Introduction
2 Problem Statement
2.1 Signal Model
2.2 CraNET Based Modulation Classification Framework
3 CraNET Based Modulation Classification
3.1 CNN for Feature Extraction
3.2 Attention Mechanism for Weighting
4 Simulation
5 Conclusions
References
Improved Speech Emotion Recognition Using LAM and CTC
1 Introduction
2 Proposed Method
2.1 VGFCC Feature Extraction
2.2 Encoding Module
2.3 Decoder
2.4 Output Layer
3 Experiment and Analysis
3.1 Database Description
3.2 Experimental Setup
3.3 Comparative Experiments
3.4 Ablation Experiments
4 Conclusion
References
High Spatial Resolution Remote Sensing Classification with Lightweight CNN Using Dilated Convolution
1 Introduction
2 Related Works
3 Theoretical Basis
3.1 Structure of the Original CNN
3.2 Performance of the Original CNN
4 The Proposed DC-LW-CNN Method
4.1 Dilated Convolution
4.2 Neuron Pruning
5 Simulation Results
5.1 Classification Performance
5.2 Compression and Acceleration Performance
6 Conclusion
References
LSTM-Based Battlefield Electromagnetic Situation Prediction
1 Introduction
2 Attack-Defense Model
2.1 Situation Description
2.2 Decision Model
2.3 Model Training Process
3 LSTM-Based Prediction Method
3.1 Feature Extraction
3.2 Data Preprocessing
3.3 LSTM Model
4 Experimental Results
4.1 Situation Prediction
4.2 Win Rate Evaluation Based on Situation
4.3 Analysis of Variance
5 Conclusion
References
Automatic Modulation Classification Based on Multimodal Coordinated Integration Architecture and Feature Fusion
1 Introduction
2 Signal Modal and Preprocessing
2.1 Signal Model
2.2 Signal Preprocessing
3 The Proposed Modulation Classification Method
3.1 Signal Statistical Graph Domain Features Extraction
3.2 Signal I/Q Waveform Domain Features Extractions
3.3 The Proposed SIMF Method
4 Experiments
4.1 Experimental Dataset
4.2 Results and Discussions
5 Conclusions
References
Image Classification with Transfer Learning and FastAI
1 Introduction
2 Related Works
3 Methodology
4 Building the Bird Classifier
4.1 Setup Environment
4.2 Data Collection
4.3 Model Creation
4.4 Data Transformation
4.5 Model Training
4.6 Results
4.7 Building a Classifier Widget
5 Summary
6 Conclusion
References
Object Recognition and Detection
RSS Fingerprint Based Signal Source Localization Using Singular Value Decomposition
1 Introduction
2 RF Fingerprint Location Process
2.1 Nearest Neighbor
2.2 K-Nearest Neighbor
2.3 Weighted K-Nearest Neighbor
3 Proposed Method
3.1 Offline Training Phase
3.2 Online Positioning Stage
4 Experiments Validation
4.1 Experiments Setup
5 Experimental Results
6 Conclusion
References
Ship Detection in SAR Images Based on an Improved Detector with Rotational Boxes
1 Introduction
2 Methods
2.1 Overall Scheme of R-YOLOv3
2.2 Backbone Network for Feature Extraction
2.3 Rotational Boundary Box Prediction
2.4 Loss Function
3 Experiments and Results
3.1 Dataset
3.2 Evaluation Indicators
3.3 Detection Results
3.4 Detection Results of Different Backbone Networks
4 Conclusion
References
An Object Detection and Tracking Algorithm Combined with Semantic Information
1 Introduction
2 Related Work
2.1 Attribute Recognition
2.2 Neural Network Detection Framework
2.3 Object Tracking Methods
3 Proposed Method
3.1 Network Architecture
3.2 Loss Function
4 Experimental Results
4.1 Training Process
4.2 Experimental Results and Analysis
5 Conclusion
References
Chinese License Plate Recognition System Design Based on YOLOv4 and CRNN + CTC Algorithm
1 Introduction
2 Our Proposed LPR Method
2.1 License Plate Detection Based on Yolov4
2.2 CRNN Network
2.3 Connectionist Temporal Classification (CTC)
3 Experimental Results
3.1 Dataset Generation
3.2 Evaluation Criterion and Comparisons
4 Conclusion
References
Detection and Localization Algorithm Based on Sparse Reconstruction
1 Introduction
2 Network Model and Problem Formulations
2.1 Network Model
2.2 Problem Formulation
3 Proposed Algorithm
3.1 Determine the Initial Location
3.2 Gradient Projection for Sparse Reconstruction
4 Simulation Results
5 Conclusions
References
Application of Yolov5 Algorithm in Identification of Transmission Line Insulators
1 Introduction
2 Insulator Data Enhancement
2.1 Introduction to U-Net Network
2.2 Data Enhancement
3 Introduction to Yolov5 Algorithm
4 Experiment
4.1 Experiment Preparation
4.2 Experimental Result
5 Conclusion
References
Author Index

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