Human Centered Computing: 5th International Conference, HCC 2019, Čačak, Serbia, August 5–7, 2019, Revised Selected Papers (Lecture Notes in Computer Science)

Preface
Organization
Abstracts
HOLOgrams for Personalised Virtual Coaching and Motivation in an Ageing Population with BALANCE Disorders
INPRESEC - Paradigm Shift in Information Security and Privacy with AI and ML
Contents
Reasoning Based Virtual Machine Mapping Toward Physical Machine
	1 Introduction
	2 Related Work
	3 System Modeling and Problem Formulation
		3.1 System Model
		3.2 Problem Formulation
	4 Baseline and Integrated CBR-Based Approach
		4.1 First Fit
		4.2 First Fit Decreasing
		4.3 Best Fit
		4.4 Case Base Reasoning
	5 Experimental Setup and Results
		5.1 Dataset
		5.2 Experimental Setup
		5.3 Results and Discussion
	6 Conclusion
	References
Mobile Offloading in Vehicular Networks: A Reward-Based Incentive Caching Scheme
	1 Introduction
		1.1 Literature Review
		1.2 Contribution
	2 System Model
		2.1 The Design of Auction Mechanism
		2.2 Maximizing the Reward Revenue
	3 Simulation Results
		3.1 The Impact of Buffer Space
		3.2 The Impact of Expired Time
		3.3 The Impact of Maximum Auction Reward W.r.t Caching Decisions
	4 Conclusions
	References
Early Prediction of Student Success Based on Data Mining and Artificial Neural Network
	Abstract
	1 Introduction
	2 Literature Review
	3 Methodology
	4 Results and Discussion
	5 Conclusions
	References
A Method of Vehicle Fault Diagnosis Supporting Multi-value-chain Collaboration
	Abstract
	1 Introduction
	2 Related Works
	3 The Architecture of Vehicle Fault Diagnosing System
	4 Implementation of Vehicle Fault Diagnosis Method
		4.1 Construction of Vehicle Fault Case Database
		4.2 The Pre-processing of Fault Description
		4.3 The Semantic Vectorization Model of Fault Description
		4.4 Similarity Computing Based on Fault Case Database
	5 Vehicle Structure Tree-Based Fault Locating
		5.1 The Construction of Vehicle Structure Tree
		5.2 Vehicle Structure Tree-Based Fault Locating Algorithm
		5.3 The Evaluation Standard of Locating Result
	6 The Verification Experiments
		6.1 The Verification Experiment of Vehicle Fault Diagnosis
		6.2 The Verification Experiment of Vehicle Fault Locating
	7 Supporting Multi-value-chain Collaboration
	8 Conclusion and Prospect
	Acknowledgment
	References
Reinforcement Learning Based Signal Quality Aware Handover Scheme for LEO Satellite Communication Networks
	1 Introduction
	2 System Model
		2.1 LEO Satellite Network Model
		2.2 Satellite Handover Process
		2.3 Problem Formulation
	3 Reinforcement Learning Handover Scheme
		3.1 Decision-Making Process in Q-Learning
		3.2 Maximum Cumulative Signal Quality Handover Scheme (MCSQ)
	4 Simulation Results
		4.1 Simulation Setup
		4.2 Simulation Results
	5 Conclusion
	References
A Non-contact and Unconstrained Sleep Health Monitoring System
	Abstract
	1 Introduction
	2 Method
		2.1 Signal Acquisition
		2.2 Digital Filter
		2.3 Feature Extraction
	3 Experiment
		3.1 Experimental Setup and Data Collection
		3.2 Analysis of Significant Difference Between BCG Signal and ECG Signal
		3.3 Recognition of Sleep Apnea
		3.4 Nighttime Bed-Off Identification
	4 Results and Discussion
	Acknowledgment
	References
Sentiment Analysis of Social Networks’ Comments to Predict Stock Return
	Abstract
	1 Introduction
	2 Data Collecting and Processing
		2.1 Data Collecting and Segmentation
		2.2 Modeling Investor’s Sentiment
	3 Sketching the Sentiment Map
	4 Regression Test
		4.1 Regression Model
		4.2 Regression Analysis
	5 Conclusions
	Acknowledgments
	References
SC-RBAC: A Smart Contract based RBAC Model for DApps
	Abstract
	1 Introduction
	2 Related Work
	3 The Principle of Smart Contract Based RBAC (SC-RBAC)
		3.1 Overview
		3.2 SC-RBAC Smart Contract
		3.3 Generic Template for DApps
	4 Experiment and Evaluation
		4.1 Environment Setting
		4.2 Results and Evaluation
	5 Conclusion
	Acknowledgment
	References
Customer Classification-Based Pre-sale Multi-value-chain Collaborative Mechanism Verification
	Abstract
	1 Introduction
	2 Related Work
		2.1 The Conception of Value Chain
		2.2 Petri Net Model
		2.3 The Conception of Customer Segmentation
	3 Petri Net Modeling of Pre-sales Service Multi-value-chain
		3.1 Automobile Pre-sales Service Multi-value-chain
		3.2 Multi-value-chain Modeling Based on Colored Petri Net
		3.3 Constructing a Single Value Chain Petri Net Model
	4 Pre-sale Service Multi-value-chain Collaboration
		4.1 Multi-value-chain Collaborative Mechanism
		4.2 Verification of Collaborative Mechanism
	5 Simulation Experiment
		5.1 Experimental Environment and Parameter Settings
		5.2 Expected Result
		5.3 Result Analysis
	6 Conclusions and Prospects
	Acknowledgment
	References
A Real-Time Update Approach for Visualizing Multidimensional Big Data
	Abstract
	1 Introduction
	2 Related Work
	3 A Visual Analysis Platform for Multidimensional Data
	4 Design and Implementation of Real-Time Updating
		4.1 The Introduction of WebSocket
		4.2 Experimental Result
	5 Conclusion
	Acknowledgements
	References
Cultural Psychology Analysis on Ancient Chinese Archive
	Abstract
	1 Introduction
	2 Data Sources
	3 Data Analysis
		3.1 Cultural Psychology Analysis
	4 Conclusion
	Acknowledgement
	References
Real-Time Collaborative Annotation System Supporting Separation of Content and Annotation
	Abstract
	1 Introduction
	2 Annotation Document Model Supporting Separation of Content and Annotation
	3 Consistency Maintenance Strategy
		3.1 Processing of the Insert Operation
		3.2 Processing of Delete Operation
		3.3 Processing of Undo Operation
		3.4 Case Analysis
	4 Conflict Resolution
		4.1 Conflict Analysis
			4.1.1 Case 1: The Width of the Annotation Column Is Shorter Than Md
			4.1.2 Case 2: The Width of the Annotation Column Is Longer Than Md
		4.2 Conflict Resolution Scheme
		4.3 Control Algorithm
	5 CoNote Model System
	6 Conclusion
	References
An Advanced Membrane Evolutionary Algorithm for Constrained Engineering Design Problems
	Abstract
	1 Introduction
	2 Preliminaries
		2.1 Design of Membrane System
		2.2 Particle Swarm Optimization and Genetic Algorithm
	3 An Advanced Dynamic Membrane Evolutionary Algorithm for CEDPs
		3.1 Improved Dynamic Membrane Structure
		3.2 Procedure of AMDEA-PSO/GA
	4 Simulation Results
		4.1 Welded Beam Design Problem (Example 1)
		4.2 Design of Pressure Vessel (Example 2)
		4.3 Speed Reducer Design Problem (Example 3)
	5 Conclusion
	Acknowledgment
	References
Aspect Sentiment Classification Based on Sequence to Sequence Reinforced Learning
	Abstract
	1 Introduction
	2 Proposed Model
		2.1 Modeling Input Sentences
		2.2 Modeling Output Sentences
		2.3 Reinforcement Learning Model
		2.4 Sentiment Score
	3 Related Work
	4 Experiments and Discussion
		4.1 Datasets Preparation
		4.2 Models for Comparison
		4.3 Training the Models
		4.4 Evaluation Measure
		4.5 Result Analysis
	5 Conclusion and Future Work
	References
Performance-Improved UCD-Based Hybrid Precoding for Millimeter-Wave Massive MIMO Single User Systems
	Abstract
	1 Introduction
	2 System Model
		2.1 Fundamental model
		2.2 Channel Model
	3 The Optimal Digital Unconstrained Precoder
		3.1 Fully Digital SVD-Based and GMD-Based Precoding
		3.2 Fully Digital UCD-Based Precoding
	4 The Constrained UCD-Based Hybrid Precoding Design
	5 Simulations
	6 Conclusions
	References
Evaluation of Augmented Reality Occlusion Scheme Based on Analytic Hierarchy Process
	Abstract
	1 Introduction
		1.1 Research Background
		1.2 Main Problem and the Function to Solve
	2 Augmented Reality Scene Division
		2.1 Information Extension and Presentation Products
		2.2 Indicator Mark Products
		2.3 Object Modeling Reproduction Products
		2.4 Game Entertainment Products
		2.5 Summary of Metrics
	3 Augmented Reality Occlusion Visualization
		3.1 Contour Marking Method
		3.2 Thick Outline Solid Line Marking Method
		3.3 Opacity Method
		3.4 Color Modification Method
		3.5 Model Flicker Method
	4 Evaluation Experiment of Augmented Reality Occlusion Effect
		4.1 Overview of Analytic Hierarchy
		4.2 Evaluation Experiments in This Paper (Tag Information Type Scenario as an Example)
	5 Conclusion
	References
Suicidal Ideation Detection via Social Media Analytics
	Abstract
	1 Introduction
		1.1 Suicidal Ideation and Social Media
		1.2 Related Work
	2 Methods
		2.1 Data Collection
		2.2 Feature Extraction
		2.3 Model Construction with Machine Learning Algorithms
		2.4 Measures of Model Performance
	3 Suicidal Ideation Detection Results
	4 Discussion
	Acknowledgement
	References
The Latent Semantic Power of Labels: Improving Image Classification via Natural Language Semantic
	1 Introduction
	2 Related Work
		2.1 CNN Models
		2.2 One-Hot Encoding
		2.3 Image Classification and Semantics
	3 Method
		3.1 Image Feature Extraction
		3.2 Semantic Label Representation
		3.3 Model Training and Image Classification
	4 Experiments
		4.1 Datasets
		4.2 Results and Discussions
	5 Conclusion
	References
Clustering Method for Low Voltage Substation-Area Users Based on Edge Computing Architecture
	Abstract
	1 Introduction
	2 Hierarchical Clustering System Architecture of Measurement Data Based on Edge Computing
		2.1 System Architecture
		2.2 A Subsection Sample
	3 Description of Distributed FCM Clustering Algorithms
		3.1 Algorithmic Flow
		3.2 The Core Process of FCM
		3.3 Clustering Strategy Optimization Based on Global Knowledge
	4 Simulation Results
	5 Conclusion
	References
Different Performances of Speech and Natural Gait in Identifying Anxiety and Depression
	Abstract
	1 Introduction
	2 Method
		2.1 Data Collection
		2.2 Data Preprocessing and Feature Extraction
	3 Result
	4 Discussion
	Acknowledgement
	References
Global Anomaly Detection Based on a Deep Prediction Neural Network
	Abstract
	1 Introduction
		1.1 Hand-Crafted Feature Based Models
		1.2 Deep Learning Based Models
	2 Global Anomaly Detection
		2.1 Convolutional Neural Network
		2.2 Long Short-Term Memory Framework
		2.3 Deep Prediction Neural Network
	3 Experimental Results
		3.1 Detection in the Lawn Scene
		3.2 Detection in the Indoor Scene
		3.3 Detection in the Plaza Scene
		3.4 Comparison
	4 Conclusions
	Acknowledgments
	References
SCHONA: A Scholar Persona System Based on Academic Social Network
	Abstract
	1 Introduction
	2 Related Work
	3 System Design
		3.1 Problem Description
		3.2 A Subsection Sample
	4 Implementation
	5 Evaluation
	6 Conclusion
	Acknowledgments
	References
Customer Evaluation-Based Automobile After-Sale Service Multi-value-Chain Collaborative Mechanism Verification
	Abstract
	1 Introduction
	2 Related Works
		2.1 Conception of Value Chain
		2.2 Petri Net Model
	3 Petri Net Modeling of Service Value Chain
		3.1 Automobile Service Value Chain
		3.2 Service Value Chain Modeling Based on Colored Petri-Net
		3.3 Construct Single Service Value Chain Model
	4 Automobile After-Sales Service Multi-value-Chain Collaboration
		4.1 Collaboration Mechanism of After-Sales Service
		4.2 Verification of the Collaboration Mechanism
	5 Simulation Experiment
		5.1 Experimental Environment and Parameter Settings
		5.2 Expected Results
		5.3 Collaboration Revenue Observation
		5.4 Result Analysis
	6 Conclusion
	Acknowledgment
	References
Research on the Construction of Sharing Service Model in Fresh E-commerce Cold Storage
	Abstract
	1 Introduction
	2 Construction and Analysis of Sharing Service Model in Fresh E-commerce Cold Storage
		2.1 Analysis of Necessity
		2.2 Analysis of Feasibility
	3 The Construction of Sharing Service Mode in Fresh E-commerce Cold Storage
		3.1 Basic Service Flow
		3.2 Multi-user Application Model
		3.3 Business Model
	4 Conclusion
	References
Usability Testing of a Smartphone Telecare Application for Informal Caregivers
	Abstract
	1 Introduction
	2 Related Work
		2.1 Use of Telecare by Informal Caregivers
		2.2 Benefits and Limitations to Telecare
	3 Purpose and Objectives
	4 Methodology
		4.1 Participants
		4.2 Sampling
		4.3 Materials
		4.4 Research Design and Procedure
		4.5 Measuring Instruments
		4.6 Data Analysis
	5 Results
		5.1 Participants’ Use of Devices
		5.2 Caring for the Elderly
	6 Discussion
	Acknowledgements
	References
High Efficiency Permanent Magnet Synchronous Motor Used in Electric Vehicle
	Abstract
	1 Introduction
	2 Design of PMSM
		2.1 Whole Structure of PMSM
		2.2 Control Principle of PMSM
	3 Finite Element Analysis of PMSM
	4 Experiment Test
	5 Conclusion
	Acknowledgement
	References
The Method of Urban Intelligent Address Coding Based on Spatiotemporal Semantics
	Abstract
	1 Introduction
	2 Spatiotemporal Semantic Intelligent Address Model
		2.1 Spatiotemporal Semantic Model
		2.2 Address Model
	3 Construction of Intelligent Address Model Based on Spatiotemporal Semantics
		3.1 Spatiotemporal Semantic Intelligent Address Conceptual Model
		3.2 Spatiotemporal Semantic Intelligent Address Logic Model
		3.3 Physical Model of Spatiotemporal Semantic Intelligence Address
		3.4 Design of Urban Intelligent Address Coding Database
	4 Conclusion
	Acknowledgment
	References
Advanced Human Centric 5G-IoT in a Smart City: Requirements and Challenges
	Abstract
	1 Introduction
	2 Smart City Evolution
	3 5G-IoT Infrastructure
		3.1 IoT Infrastructure
		3.2 Smart Grid
		3.3 Human-Computer Interaction
	4 Human Centric Communication
		4.1 Multimedia-IoT
		4.2 Vehicle-to-P Communication
	5 Concluding Remarks
	References
Design of Electrical Equipment Integration System for LNG Single-Fuel Bulk Carrier
	Abstract
	1 Introduction
	2 Design of General Scheme
		2.1 Setting Boundary Conditions
		2.2 Design of Function Modules
		2.3 Implementation Principle
	3 NX Controller
	4 Conclusion
	Acknowledgement
	References
Protocol Analysis Method Based on State Machine
	Abstract
	1 Introduction
	2 TCP Flow State Machine Model
	3 State Machine Based Protocol Analysis Method
		3.1 System Architecture
		3.2 Protocol Analysis
		3.3 Protocol Feature Matching
	4 Case Study
	5 Conclusion
	References
News Recommendation Model Based on Improved Label Propagation Algorithm
	Abstract
	1 Introduction
	2 Related Work
	3 Recommend Approach
		3.1 Coherent Neighborhood Propinquity
		3.2 Coherent Neighborhood Propinquity Based Label Propagation
		3.3 News Recommendation Based on Community Detection
	4 Experimental Results
		4.1 Dataset
		4.2 Evaluation Method
		4.3 Result Analysis
	5 Conclusion
	Acknowledgements
	References
Route Optimization of Robot Groups in Community Environment
	Abstract
	1 Introduction
	2 Modeling of Path Planning and Task Assignment
		2.1 Environmental Modeling
		2.2 Multi-destination Robot Task Assignment Model Establishment
	3 Improvement of ACO
		3.1 Multi-node Based Heuristic Function Design
		3.2 Dynamic Adjustment of Pheromone Volatilization Coefficient
		3.3 Improved ACO
	4 Multi-express Robot Path Planning Experiment and Analysis
		4.1 Simulation Results and Analysis
		4.2 Task Assignment Implementation
	5 Conclusion
	References
Matching User Accounts Across Social Networks Based on LDA Model
	Abstract
	1 Introduction
	2 Data Sources
	3 Topic Preferences
		3.1 The ATM Model
		3.2 Similarity of Topic Preference
	4 Interest Evolution
		4.1 The DTM Model
		4.2 Similarity of Topic Evolution
	5 Account Matching
	6 Model Evaluation
	7 Conclusion
	References
Sales-Forecast-Based Auto Parts Multiple-Value Chain Collaboration Mechanism and Verification
	Abstract
	1 Introduction
	2 Collaborative Process of Multiple Auto Parts
		2.1 Storage Forecast of Multiple Auto Parts
		2.2 Random Model of Multiple-Value-Chain Collaboration
	3 Petri-Net-Based Model and Analysis
		3.1 Basic Petri-Nets
		3.2 Colored Petri-Nets
		3.3 CPN Tools
		3.4 Experimental Environment and Parameters
	4 Conclusion
	Acknowledgment
	References
Multi-scale Attentive Residual Network for Single Image Deraining
	Abstract
	1 Introduction
	2 Related Work
		2.1 Prior-Based Single Image Deraining
		2.2 Deep Learning-Based Single Image Deraining
	3 Multi-scale Attentive Residual Network
		3.1 Multi-scale Progressive Attention Network
		3.2 Multi-scale Residual Network
		3.3 Loss for the Multi-scale Attentive Residual Network
	4 Experiments
		4.1 Datasets and Training Details
		4.2 Baselines
		4.3 Comparison with Baselines on Test
		4.4 Comparison with Baselines on Real-World Rainy Dataset
	5 Conclusion
	Acknowledgment
	References
Intention Classification Based on Transfer Learning: A Case Study on Insurance Data
	Abstract
	1 Introduction
	2 Related Works
	3 Case Study
		3.1 Datasets
		3.2 Transfer Learning
		3.3 Experiment Results and Evaluation
	4 Conclusions and Future Works
	Acknowledgment
	References
Network Optimization Under Traffic Uncertainties Based on SDN
	Abstract
	1 Introduction
	2 System Model
	3 Solution
		3.1 Monomial Approximation and Variable Substitution
		3.2 Interior Point Method
	4 Simulation Results
	5 Conclusion
	Acknowledgement
	References
Design of Crane Virtual Simulation Teaching Assessment System
	Abstract
	1 Introduction
	2 System and Function Design
		2.1 Cognitive Teaching
		2.2 Maintenance
		2.3 Fault Repairing
		2.4 Teaching Assessment
	3 System Development and Implementation
		3.1 Interaction Layer Logic Implementation
		3.2 Fault Maintenance Logic Implementation
		3.3 Data Layer Implementation
	4 Conclusion
	References
Fog Concentration Grade Judgment for Meter Reading Based on SVM
	Abstract
	1 Introduction
	2 Methodology
		2.1 Contrast Feature
		2.2 DFT Feature
		2.3 Support Vector Machine(SVM)
	3 Experiments
		3.1 Sample Set
		3.2 Discriminant Standard
		3.3 Results Comparison with Different Features
	4 Conclusion
	References
A Robust Optimization Model for Closed-Loop Supply Chain Network Under Uncertain Returns
	Abstract
	1 Introduction
	2 The Framework of a CLSC
	3 Model Assumptions and Variables Description
		3.1 Model Assumptions
		3.2 Index
		3.3 Decision Variables
		3.4 Parameters
	4 Mathematical Methods to Characterize Uncertainties in Quantity and Quality of Returned Products
		4.1 Uncertainty in Quality of Returned Products
		4.2 Uncertainty in Quantity of Returned Products
	5 Robust Optimization Model for CLSC Network Design
		5.1 Robust Optimization Model Based on the Regret Value
		5.2 Robust Optimization Model for CLSC Network Based on the Regret Value
	6 A Numerical Experiment
		6.1 Data Exhibition
		6.2 Results
	7 Conclusions
	References
Design and Implementation of Energy Saving Monitoring and Management System on Campus Based on Internet of Things Technology
	Abstract
	1 Introduction
	2 Overview of Energy Saving Monitoring and Management Platform of Shandong University at Weihai
	3 Architecture Design of the Platform
	4 Implementation of Key Software Technologies of the Platform
		4.1 Communication Process Between Server and Data Collectors
		4.2 Communication Protocol and Message Parsing
	5 System Display
		5.1 Energy Consumption Map
		5.2 Data Aggregation and Analysis
	6 Conclusion
	References
A Deep Reinforcement Learning Approach Towards Computation Offloading for Mobile Edge Computing
	Abstract
	1 Introduction
	2 Related Work
	3 System Model and Problem Formulation
		3.1 Architecture of MEC System
		3.2 Cost of Local Processing
		3.3 Cost of MEC Processing
		3.4 Cost of Cloud Processing
		3.5 Problem Formulation
	4 Problem Solution
		4.1 Reinforcement Learning
		4.2 Deep Q Network
	5 Experiment and Results Analysis
	6 Conclusion
	Acknowledgments
	References
Joint Neural Collaborative Filtering with Basic Side Information
	Abstract
	1 Introduction
	2 Preliminary
		2.1 Implicit Data
		2.2 Side Information
	3 Proposed Methods
		3.1 General Framework Picture
		3.2 Deep Model with Side Information
	4 Experiments
		4.1 Database
		4.2 Baselines
		4.3 Evaluation Metrics
		4.4 Parameter Settings
		4.5 Simulation and Discussion
	5 Conclusion
	Acknowledgement
	References
Reaching Consensus for SDN Multi-controller Networks
	Abstract
	1 Introduction
	2 Related Work
	3 Design of HPPC
		3.1 The Commit Protocol
		3.2 The Execution Protocol
		3.3 The Failure Recovery Protocol
	4 Simulation
		4.1 The Consensus Time
		4.2 The Throughput in Multi-controller Network
		4.3 Latency vs. Throughput
		4.4 Service Availability Under Failures
	5 Conclusion
	References
A Model Based on a Fuzzy Petri Net for Scenario Evolution of Unconventional Emergencies
	Abstract
	1 Introduction
	2 Analysis of the Scenario Evolutionary Mechanism of a UE
	3 Construction of a Scenario Evolution Fuzzy Petri Net Model Based on Fuzzy Reasoning
		3.1 Introduction and Rules of FPN
		3.2 Construction of a UE Scenario Evolution Model
		3.3 Fuzzy Inference Algorithm
	4 Applied Analysis
		4.1 Structural Design of a Scenario Evolution Model for an Earthquake
	5 Conclusion
	Acknowledgment
	References
Semi-physical Simulation of Fuel Loss for Unmanned Aerial Vehicle
	Abstract
	1 Introduction
	2 Analysis of Flight Fuel Consumption Factors
		2.1 Important Parameters
		2.2 Aircraft Trajectory
	3 Flight Fuel Consumption Calculation Model
	4 Oil Meter Simulation and Verification
	5 Conclusion
	References
An Early Warning System of Tram Safety Protection Based on Multi-information Detection
	Abstract
	1 The Introduction
	2 Demand Analysis of Tram Active Safety Protection System
	3 Tram Active Safety Protection System Scheme
		3.1 System Composition
		3.2 System Solutions
	4 The Early Warning Function of Tram Active Safety Protection
	5 Conclusion
	References
A Low-Frequency Broadband Triboelectric Energy Harvester Based on Cantilever Beam with a Groove
	Abstract
	1 Introduction
	2 Device Design and Fabrication
	3 Operating Mechanism and Analysis
		3.1 Operating Mechanism
		3.2 Frequency Reduction
		3.3 Analysis of Broadband Behavior
	4 Experiments and Discussion
		4.1 Experimental Setup
		4.2 Voltage and Power Characteristics
		4.3 Bandwidth Widening
	5 Conclusion
	Acknowledgments
	References
Micro Heater with Low Temperature Coefficient of Resistance for ICF Target
	Abstract
	1 Introduction
	2 The Design of Micro Heater
	3 Fabrication Process of Cooling Arm
	4 Film Annealing and TCR Measurement
	5 Discussion
	6 Performance Test of Micro Heater
		6.1 Response Time Measurement
		6.2 Temperature Control Accuracy Test
	7 Conclusions
	Acknowledgments
	References
Random Convolutional Neural Network Based on Distributed Computing with Decentralized Architecture
	Abstract
	1 Introduction
	2 Related Works
	3 Basic Definitions
		3.1 Random Convolution Architecture
		3.2 Decentralized Distribute Computing Architecture
	4 Experiments
		4.1 Dataset Introduction
		4.2 Decentralized Training
	5 Conclusion
	Acknowledgments
	References
Emotion Recognition from Human Gait Features Based on DCT Transform
	Abstract
	1 Introduction
	2 Related Work
	3 Discrete Cosine Transform
	4 Data Set and Gait Features
	5 Models and Results
		5.1 Result One
		5.2 Result Two
	6 Conclusion
	References
Person Search with Joint Detection, Segmentation and Re-identification
	Abstract
	1 Introduction
	2 Related Work
	3 The Proposed Approach
		3.1 Architecture Overview
		3.2 Training Mechanism
	4 Experiments
		4.1 Dataset
		4.2 Evaluation Protocol
		4.3 Implementation Details
		4.4 Person Search Result
	5 Conclusion
	Acknowledgment
	References
Analysis of Influencing Factors of PV Based Ensemble Modeling for PV Power and Application in Prediction
	Abstract
	1 Introduction
	2 Model Construction
		2.1 Analysis Affecting PV Power
		2.2 Construction of Prediction Model
	3 Experiment Analysis
	4 Conclusion
	Acknowledgment
	References
Design of Searchable Algorithm for Biological Databased on Homomorphic Encryption
	Abstract
	1 Introduction
	2 Theoretical Basis of Homomorphic Encryption and Search Algorithm
		2.1 Introduction to Homomorphic Encryption Algorithm
		2.2 Introduction to Search and Searchable Encryption
	3 BFV Algorithm and Inverted Index
		3.1 Brakerski/Fan-Vercauteren (BFV)
		3.2 Inverted Index
	4 Searchable Homomorphic Encryption Based on Inverted Indexes
		4.1 Scheme Description
		4.2 Homomorphic Encryption of Biodata Based on Inverted Index
		4.3 Theoretical Analysis and Experimental Results
		4.4 Safety Analysis
		4.5 Experimental Results
	5 Conclusion
	Acknowledgments
	References
Speech-Based Automatic Recognition Technology for Major Depression Disorder
	Abstract
	1 Introduction
	2 Materials and Methods
		2.1 PHQ-9 Self-rating Depression Scale
		2.2 Speech Collection
		2.3 Data Processing
		2.4 Depression Classification Model
	3 Results
	4 Discussion
	5 Conclusion
	Acknowledgements
	References
Multi-layer Filtering Webpage Classification Method Based on SVM
	Abstract
	1 Introduction
	2 Data Preprocessing
		2.1 Document Object Model DOM
		2.2 Webpage Denoising
	3 Web Page Classification Method
		3.1 Semantic Analysis Participle
		3.2 Feature Selection
		3.3 Multi-layer Filtering Web Page Classification Method Initial Filtration
		3.4 Support Vector Machine (SVM) Filter Layer
	4 Experiment and Result Analysis
		4.1 Experimental Result
		4.2 Conclusion
	References
Character-Level Attention Convolutional Neural Networks for Short-Text Classification
	Abstract
	1 Introduction
	2 The Research of Model Structure
		2.1 Dropout
		2.2 Attention Mechanism
	3 Experiment
		3.1 Experiment Datasets
		3.2 Parameter Setting
		3.3 Comparison Model
		3.4 Results and Analysis
	4 Conclusion
	References
Machine Learning in Short Video APP User Activity Prediction
	Abstract
	1 Introduction
	2 Theory of Machine Learning
		2.1 Supervised Learning
		2.2 LightGBM
		2.3 Support Vector Machine (SVM)
	3 Experimental Modeling
		3.1 Data Source and Interpretation of the Field
		3.2 Main Steps of Modeling
		3.3 Experimental Results of the Model
	4 Conclusion
	References
SF-KCCA: Sample Factoring Induced Kernel Canonical Correlation Analysis
	Abstract
	1 Introduction
	2 Related Work
		2.1 Linear Canonical Correlation Analysis
		2.2 Kernel Canonical Correlation Analysis
	3 The Proposed Method
		3.1 CCA with Sample Factoring
		3.2 Strategy of Building Matrix D_{X} and D_{Y}
		3.3 Sample Weighting Induced Kernel Cannonical Correlation Analysis
	4 Experiments Analysis
		4.1 Parameter Settings
		4.2 Dataset Description
		4.3 Experiment Comparisons
	5 Conclusion
	Acknowledgments
	References
Biological Data Migration Method Based on IPFS System
	Abstract
	1 Introduction
	2 Related Work
	3 Our Approach
		3.1 Concepts and Definitions
		3.2 Sharding and Uploading Based on Biological Data Features
		3.3 Routing Table Based Migration Algorithm (RTBMA)
		3.4 Migration Algorithm Based on Historical Biodata Access Table
	4 Performance Evaluation
	5 Conclusion
	Acknowledgments
	References
Meter Detection of Substation Scene Based on Deep Learning
	Abstract
	1 Introduction
	2 Meter Detection of Substation Scene
		2.1 Construction of Meter Data Sets
		2.2 Data Augmentation
		2.3 Network Structure
		2.4 Implementation Process
	3 Experiments
		3.1 Evaluation Index
		3.2 Meter Detection of Substation Scene Effect
	4 Conclusion
	References
Discretization of Laplace-Beltrami Operator Based on Cotangent Scheme and Its Applications
	Abstract
	1 Introduction
	2 The Laplace-Beltrami Operator
		2.1 Definition
		2.2 Discretization
	3 Discretization of Laplace-Beltrami Operator Based on Cotangent Scheme
		3.1 The Theoretical Basis of the Cotangent Scheme
		3.2 Calculation Method and Improvement
		3.3 Improvement of Discretization Method
	4 Application
	5 Conclusion
	Acknowledgment
	References
Computer-Aided Diagnosis of Ophthalmic Diseases Using OCT Based on Deep Learning: A Review
	Abstract
	1 Introduction
	2 Development Status of Application of Deep Learning in Computer-Aided Diagnosis of Ophthalmic Diseases Using OCT
		2.1 General Procedures of Application of Deep Learning in Computer-Aided Diagnosis of Ophthalmic Diseases Using OCT
		2.2 Research Status of Application of Deep Learning in Computer-Aided Diagnosis of Ophthalmic Diseases Using OCT
		2.3 Public Datasets of OCT
	3 Related Research of Computer-Aided Diagnosis of Ophthalmic Diseases Using OCT
		3.1 Computer-Aided Diagnosis of AMD Using OCT
		3.2 Computer-Aided Diagnosis of DME Using OCT
		3.3 Computer-Aided Diagnosis of Glaucoma Using OCT
		3.4 Computer-Aided Diagnosis of Multiple Ophthalmic Diseases Using OCT
	4 Challenges
	5 Conclusions
	Acknowledgement
	References
An Improved Spectral Clustering Algorithm Based on Cell-Like P System
	Abstract
	1 Introduction
	2 Cell-Like P Systems and Spectral Clustering
		2.1 Cell-Like P Systems
		2.2 Spectral Clustering
	3 Improved Spectral Clustering Algorithm Based on Cell-Like P System
		3.1 Object Initialization
		3.2 Description of Rules
		3.3 Halting
		3.4 Description of SCBK-CP Algorithm
	4 Experimental Results and Analysis
		4.1 Data Set
		4.2 Evaluation Index
		4.3 Experimental Result
	5 Conclusion
	Acknowledgment
	References
Diagnosis of Depression Based on Short Text
	Abstract
	1 Introduction
	2 Data and Method
		2.1 Data Processing and Feature Extraction
		2.2 Machine Learning Framework
	3 Experiments and Comparison
		3.1 Data Acquisition
		3.2 Diagnosis Model Based on SVM
		3.3 Result
		3.4 Discussion
	4 Conclusion
	Acknowledgement
	References
An Improved CNN-Based Pneumoconiosis Diagnosis Method on X-ray Chest Film
	1 Introduction
	2 Related Work
	3 Motivation and Consideration
	4 Design of Model Architecture
		4.1 Analysis of Medical Data and Method
		4.2 Image Preprocessing
		4.3 CNN Reconfiguration and Optimization
	5 Experiment Evaluation
		5.1 Experimental Environment and Dataset
		5.2 Experiments on the Accuracy of Pneumoconiosis Diagnosis
		5.3 Experiments on the Accuracy of Pneumoconiosis Staging
	6 Conclusion
	References
Modelling Mental States via Computational Psychophysiology: Benefits and Challenges
	Abstract
	1 Background
	2 Fundamental Assumptions of Computational Psychophysiology
		2.1 Existence of Physiology-to-Psychology Path
		2.2 Computability of Psychophysiology
	3 Benefits
		3.1 Advanced Feature Extraction and Representation
		3.2 Handle High Dimensional Data
		3.3 Psychophysiological Modelling
	4 Challenges
		4.1 Categorization Criteria for Mental States
		4.2 Physiological Data Acquisition
		4.3 Multimodal Data Analysis
	5 Conclusion
	Acknowledgment
	References
Resource Allocation in HetNets with Green Energy Supply Based on Deep Reinforcement Learning
	Abstract
	1 Introduction
	2 System Model and Problem Formulation
		2.1 System Model
		2.2 Problem Formulation
	3 Algorithm Description
		3.1 Reinforcement Learning
		3.2 Deep Reinforcement Learning – DQN
		3.3 HETNETDQN
	4 Simulation Results
	5 Conclusion
	References
Deep Reinforcement Learning for Joint Channel Selection and Power Allocation in Cognitive Internet of Things
	Abstract
	1 Introduction
	2 System Model and Problem Planning
		2.1 System Model
		2.2 Problem Description
	3 Algorithm Description
		3.1 Reinforcement Learning – Q Learning
		3.2 Deep Reinforcement Learning - DQN
		3.3 Underlay-Cognitive-Radio-Deep-Q-Network (UCRDQN)
	4 Simulation Results
	5 Conclusion
	References
A Random-Based Approach to Social Influence Maximization
	Abstract
	1 Introduction
	2 Random Node Recommend
		2.1 The Thought of Random Node Recommend
		2.2 The Step of the New Random-Based Algorithm
	3 Experiment Results
	4 Conclusion
	Acknowledgment
	References
Order Batch Optimization Based on Improved K-Means Algorithm
	Abstract
	1 Introduction
	2 Problem Description and Model Building
		2.1 Order Batch Problem Description
		2.2 Order Batch Model Construction
	3 Density-Based K-Means Clustering Algorithm Design
		3.1 Improved K-Means Algorithm Clustering
	4 Simulation Experiment
	5 Conclusion
	References
Author Index