
Data Science
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This two volume set (CCIS 1628 and 1629) constitutes the refereed proceedings of the 8th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2022 held in Chengdu, China, in August, 2022.
The 65 full papers and 26 short papers presented in these two volumes were carefully reviewed and selected from 261 submissions. The papers are organized in topical sections on: Big Data Management and Applications; Data Security and Privacy; Applications of Data Science; Infrastructure for Data Science; Education Track; Regulatory Technology in Finance.
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Content
- Intro
- Preface
- Organization
- Contents - Part II
- Contents - Part I
- Big Data Management and Applications
- Research on the Realization Path and Application of a Data Governance System Based on Data Architecture
- 1 Introduction
- 2 Research Status and Development of Data Governance
- 3 Functional Composition of Data Architecture
- 3.1 The Method of Integrating Heterogeneous Data with Internal and External Centralized Data Management
- 3.2 Data Security Classification, Data Right Confirmation and Authorization Methods
- 3.3 Basic Composition and Form of the Data Architecture
- 3.4 Data Governance System Supported by Data Architecture
- 4 Understanding the Data Architecture Supporting the Data Governance System
- 4.1 The Impact of Data on Human Civilization - Recognizing the Importance of Data
- 4.2 Comparison Between Data and Material - Similarity and Particularity of Data and Material
- 4.3 Comparison of Data and Information - the Difference Between Data and Information Determines the Difference in Research Data Governance Methods
- 4.4 The Relationship Between Data and Applications - the Systematicness, Integrity, Relevance and Essence of Data
- 5 Implementation Path of the Data Governance System Supported by the Data Architecture
- 5.1 Distinguish the Information System and Data System, and Develop the Data System by Using the Data-Oriented Software Engineering Method
- 5.2 Unify the Database of the Existing Information System, Build a Data System and Crack the "Data Island"
- 5.3 The Separation of Data Management and Use is Adopted to Simplify the Complexity of Data and Business
- 5.4 The Public Key Infrastructure of the Domestic Commercial Key Algorithm is Used to Realize Data Right Confirmation, Data Ownership Authorization and Data Protection
- 5.5 Data Architecture Supports the Construction of a Data Governance System and Solves Data Governance Problems in a Package
- 5.6 Application Example of Data Governance System Based on Data Architecture in County New Smart City
- 6 Conclusion
- References
- Data Quality Identification Model for Power Big Data
- 1 Introduction
- 2 Background and Related Works
- 2.1 Related Works
- 2.2 Related Technologies
- 3 Problem Definition
- 4 Proposed Approach
- 4.1 Data Quality Identification Architecture
- 4.2 Data Preprocessing and Grouping
- 4.3 Data Augmentation
- 4.4 Tri-Training Based Detection
- 5 Experiments
- 5.1 Training Data and Baselines
- 5.2 Analysis
- 6 Conclusion
- References
- Data Security and Privacy
- Effective and Lightweight Defenses Against Website Fingerprinting on Encrypted Traffic
- 1 Introduction
- 2 Background and Related Work
- 2.1 WF Attacks
- 2.2 WF Defense
- 3 Threat Model
- 4 The Propose TED
- 4.1 Overview of TED
- 4.2 Similar Scale Traces Clustering
- 4.3 Interconversion
- 4.4 Key Feature Extraction
- 5 Performance Evaluation
- 5.1 Preliminary
- 5.2 Performance Metrics
- 5.3 Parameter Tuning
- 5.4 Evaluation
- 6 Conclusion
- References
- Data Hiding in the Division Domain: Simultaneously Achieving Robustness to Scaling and Additive Attacks
- 1 Introduction
- 2 Preliminaries
- 2.1 QIM
- 2.2 Related Work on Resisting Scaling Attacks
- 3 Proposed Method
- 3.1 Division Domain for Data Hiding
- 3.2 D-QIM
- 3.3 Theoretical Analysis for D-QIM
- 4 Simulations
- 5 Conclusions
- References
- BMSC: A Novel Anonymous Trading Scheme Based on Zero-Knowledge Proof in Ethereum
- 1 Introduction
- 2 Related Works
- 3 Zreo-Knowledge Proof
- 4 BMSC: Anonymous Transaction Scheme
- 4.1 Groth16
- 4.2 Scheme Construction
- 5 Analysis of Anonymity and Security
- 5.1 Analysis of Anonymity
- 5.2 Hide Account Balances and Transaction Amounts
- 5.3 Hide the Transfer Relationships
- 5.4 Analysis of Security
- 5.5 Overspending Attack
- 5.6 Double-Spending Attack
- 6 Conclusion
- References
- Research on the Design and Education of Serious Network Security Games
- 1 Introduction
- 2 Related Work
- 3 Feasibility Analysis
- 3.1 Educational Dilemma
- 3.2 Education Status
- 4 Theoretical Basis
- 4.1 Constructivist Theory
- 4.2 Situational Cognition
- 5 Teaching Design
- 5.1 Design Principle
- 5.2 Design Principle
- 6 Game Design
- 6.1 Game Theme
- 6.2 Game Components
- 6.3 Rules of the Game
- 6.4 Hands-On Game
- 7 Conclusion
- References
- KPH: A Novel Blockchain Privacy Preserving Scheme Based on Paillier and FO Commitment
- 1 Introduction
- 2 Related Works
- 3 Preliminaries
- 3.1 Paillier Cryptosystem
- 3.2 Chinese Remainder Theorem
- 3.3 CRT-Based Paillier Cryptosystem
- 3.4 An Optimized Paillier Cryptosystem
- 3.5 Fujisaki-Okamoto Commitment
- 3.6 Blockchain Data Sharing Model
- 4 Privacy Protection Model for Blockchain Data Sharing
- 4.1 Hidden Amount
- 4.2 Transaction Verification
- 4.3 Update Account Balance
- 4.4 Performance Analysis
- 5 Conclusion
- References
- Blockchain Access Control Scheme Based on Multi-authority Attribute-Based Encryption
- 1 Introduction
- 2 Related Works
- 3 Preliminaries
- 3.1 Bilinear Mapping
- 3.2 Access Control Structure
- 3.3 Linear Secret Sharing Scheme
- 4 Blockchain Access Control Scheme Based on MA-ABE
- 4.1 Scheme Overview
- 4.2 Autonomous Identity Management
- 4.3 Selection of Attribute Authorities
- 4.4 Hierarchical Linear Secret Sharing Scheme
- 4.5 Blockchain Access Control Algorithm
- 5 Scheme Analysis
- 5.1 Security Analysis
- 5.2 Comparison of Scheme Cost
- 6 Conclusion
- References
- Applications of Data Science
- Study on the Intelligent Control Model of a Greenhouse Flower Growing Environment
- 1 Introduction
- 2 Problem Scenario
- 2.1 A Floral Growth Factor Analysis
- 2.2 Fuzzy Neural Network
- 2.3 Practice Site and Flowers
- 3 Methods
- 3.1 Framework
- 3.2 Fuzzy Neural Network Model
- 3.3 Design Implementation
- 4 Experimental Results and Analysis
- 4.1 Simulation Analysis
- 4.2 Field Site Experiments
- 4.3 Model Evaluation
- 5 Conclusion and Discussion
- References
- A Multi-event Extraction Model for Nursing Records
- 1 Introduction
- 2 Related Work
- 3 Method
- 3.1 Dataset Annotation
- 3.2 Dataset Analysis
- 3.3 Model
- 4 Experiments
- 4.1 Experiment Settings
- 4.2 Comparison Methods
- 4.3 Main Results
- 4.4 Analysis on the Multi-event Argument Attribution Problem
- 5 Discussion
- 5.1 Analysis on High Score Performance
- 5.2 Application of Missing Item Detection
- 6 Conclusion
- References
- Cuffless Blood Pressure Estimation Based on Both Artificial and Data-Driven Features from Plethysmography
- 1 Introduction
- 2 Related Work
- 3 Proposed Model
- 3.1 Empirical Feature Extracting Branch
- 3.2 Data-Driven Feature Extracting Branch Based on LSTM
- 3.3 Feature Gathering and Multichannel Output Module
- 4 Experiments
- 4.1 Experimental Setup
- 4.2 Competing Methods
- 4.3 Results and Analysis
- 5 Conclusions
- References
- User Attribute Prediction Method Based on Stacking Multimodel Fusion
- 1 Introduction
- 2 Related Machine Learning Algorithms
- 3 Multimodel-LightGBM
- 3.1 Stacking Algorithm
- 3.2 Multimodel-LightGBM
- 4 Experiment and Result Analysis
- 4.1 Dataset
- 4.2 Feature Engineering
- 4.3 Evaluation Metrics
- 4.4 Experimental Results
- 5 Conclusion
- References
- How is the Power of the Baidu Index for Forecasting Hotel Guest Arrivals? -A Case Study of Guilin
- 1 Introduction
- 2 Literature Review
- 2.1 Baidu Index and Tourism Research
- 2.2 Tourism Forecasting with Big Data
- 3 Data
- 3.1 Data Collection
- 3.2 Keyword Selection for the Baidu Search
- 3.3 Data Preprocessing
- 4 Variable Test and Metrics
- 4.1 Unit Root
- 4.2 Granger Casualty Test
- 4.3 Metrics
- 5 Model Fitting and Performance Evaluation
- 5.1 Forecasting Model Without Any Baidu Index
- 5.2 Autoregressive Distributed Lag Model Establishment with Univariate Baidu Index
- 5.3 Autoregressive Distributed Lag Model Establishment with Multiple Baidu Indexes
- 5.4 Summary
- 6 Conclusions, Limitations, and Future Work
- 6.1 Conclusions
- 6.2 Limitations
- 6.3 Future Work
- References
- A Facial Size Automatic Measurement and Analysis Technology
- 1 Introduction
- 2 Facial Data Acquisition
- 3 Facial Morphology Analysis System
- 3.1 Feature Point Recognition
- 3.2 Location of Three-Dimensional Facial Feature Points
- 3.3 Facial Morphology Analysis
- 3.4 Output Module
- 4 Experimental Comparison
- 5 Conclusion
- References
- Intelligent Industrial Auxiliary System Based on AR Technology
- 1 Introduction
- 2 System Design and Implementation
- 2.1 Real-Time Display
- 2.2 Human-Computer Interaction
- 2.3 Perception and Positioning
- 2.4 Scene Switch
- 3 Example Display
- 4 Summary and Outlook
- References
- Infrastructure for Data Science
- Industry-Oriented Cloud Edge Intelligent Assembly Guidance System
- 1 Introduction
- 2 Method
- 2.1 Instance Segmentation
- 2.2 Pose Estimation
- 2.3 Cloud-Edge Joint Technology
- 3 Experiment and Analysis
- 3.1 Experimental Setup
- 3.2 Experimental Results
- 4 Conclusion
- References
- An Intelligent Data Routing Scheme for Multi-UAV Avionics System Based on Integrated Communication Effectiveness
- 1 Introduction
- 2 Proposed Integrated Communication Effectiveness Metric
- 2.1 Link Effectiveness
- 2.2 Node Effectiveness
- 2.3 Data Effectiveness
- 3 Proposed Data Routing Scheme
- 4 Evaluation
- 5 Conclusion
- References
- Intelligent Scheduling Strategies for Computing Power Resources in Heterogeneous Edge Networks
- 1 Introduction
- 2 Modeling of Intelligent Scheduling of Algorithmic Networks
- 2.1 Task Model
- 2.2 Computing Resource Model
- 2.3 Storage Resource Model
- 2.4 Data Resource Model
- 2.5 Resource Matching Model
- 2.6 Equilibrium Model
- 2.7 Storage Space Matching Model
- 2.8 Integrated Matching Model
- 3 Intelligent Scheduling Algorithms for Algorithmic Networks
- 3.1 Intelligent Scheduling Optimization Model
- 3.2 Intelligent Scheduling Algorithm
- 4 Simulation Experiments
- 4.1 Simulation Scenarios and Parameter Settings
- 4.2 Evaluation Indicators
- 4.3 Simulation Results and Analysis
- 5 Conclusion
- References
- A Survey of Detection Methods for Software Use-After-Free Vulnerability
- 1 Introduction
- 2 UAF Vulnerability Instance
- 3 Analysis of Existing UAF Detection Methods
- 3.1 Static UAF Detection Methods
- 3.2 Dynamic UAF Detection Methods
- 3.3 Combination of Static and Dynamic UAF Detection Methods
- 4 Comparison of UAF Detection Methods and Outlook
- 5 Conclusion
- References
- Coverage Optimization of Field Observation Instrument Networking Based on an Improved ABC Algorithm
- 1 Introduction
- 2 Related Work
- 3 Improved ABC Algorithm
- 3.1 Improvement of the ABC Algorithm
- 3.2 The Improved ABC Algorithm
- 4 Experimental Analysis
- 4.1 Coverage Optimization Strategy Based on the ABC Algorithm
- 4.2 Coverage Model and Simulation Parameter Configuration
- 4.3 Simulation and Analysis
- 5 Conclusion
- References
- Education Track
- Predicting Student Rankings Based on the Dual-Student Performance Comparison Model
- 1 Introduction
- 2 Literature Review
- 2.1 Related Research on Student Classification
- 2.2 Related Research on Performance Regression
- 2.3 Related Research on Ranking Prediction
- 3 Methodology
- 3.1 Model Overview
- 3.2 Model Structure
- 3.3 Generation of the Training Set and Test Set
- 3.4 Evaluation Indicators
- 4 Experiment
- 4.1 Experiment Background
- 4.2 Encoding Model
- 4.3 The Role of Different Features on Ranking Prediction
- 4.4 Comparison with Regression Models
- 5 Discussion
- 6 Conclusion
- References
- M-ISFCM: A Semisupervised Method for Anomaly Detection of MOOC Learning Behavior
- 1 Induction
- 2 Related Work
- 2.1 Semisupervised Fuzzy C-means Clustering
- 2.2 Unsupervised Isolated Forest
- 3 M-ISFCM: SFCM Combined with Isolated Forest for MOOC Learning Behavior Anomaly Detection Model
- 3.1 Definition and Explanation of MOOC Data
- 3.2 Preparation of MOOC Data
- 3.3 Feature Extraction of MOOC Learning Behavior
- 3.4 M-ISFCM for MOOC Learning Behavior Anomaly Detection
- 4 Experimental Results and Analysis of MOOC Data
- 4.1 Experimental Setup
- 4.2 Criteria for the Assessment of Abnormal Learning Behaviors
- 4.3 Experimental Comparison of MOOC Data
- 5 Conclusion
- References
- Classroom Teaching Effect Monitoring and Evaluation System with Deep Integration of Artificial Intelligence
- 1 Introduction
- 2 Related Background
- 2.1 The Lack of Integration of Information Technology into Teaching Information Among Teachers
- 2.2 Lower Student Participation in Online Teaching
- 2.3 Inefficient Use of Information Technology Among Teachers
- 2.4 Insufficient Development and Application of VR Technology
- 3 Reform Measures
- 3.1 Face Recognition System Based on Deep Learning
- 3.2 Online Course Performance Prediction Model Based on Behavior Analysis
- 3.3 Based on the VR Virtual Deep Operation Drill Learning Platform
- 3.4 EEG Attention Monitoring Technology to Monitor Classroom Teaching
- 4 Specific Method
- 4.1 Machine Learning Classroom Teaching Based on the Course Library on the Cloud
- 4.2 Hybrid Teaching Mode Based on a Deep Neural Network
- 5 Experimental Methods
- 5.1 Experimental Setup
- 5.2 Dataset Collection and Preparation
- 5.3 Annotation and Splitting of Dataset
- 5.4 Model Training
- 6 Experimental Results and Analysis
- 7 Conclusions
- References
- Audit Scheme of University Scientific Research Funds Based on Consortium Blockchain
- 1 Introduction
- 2 Related Work
- 3 Pre-knowledge
- 3.1 Merkle Tree
- 3.2 Multi-branch Path Tree LBT
- 3.3 Pedersen Commitment
- 3.4 Zero-Knowledge Range Proof
- 4 Audit Scheme of University Scientific Research Funds Based on Consortium Blockchain
- 4.1 Framework
- 4.2 Blockchain Network Topology
- 4.3 Scheme
- 5 Scheme Analysis
- 5.1 Functional Comparison of Schemes
- 5.2 Security Analysis
- 6 Conclusion
- References
- Performance Evaluation for College Curriculum Teaching Reform Using Artificial Neural Network
- 1 Introduction
- 2 Performance Evaluation of Curriculum Teaching Reform in Colleges and Universities
- 2.1 Performance Evaluation Indicators of Curriculum Teaching Reform in Colleges and Universities
- 2.2 Performance Evaluation Algorithm of Classroom Teaching Reform in Colleges and Universities
- 2.3 Implementation of Performance Evaluation of Curriculum Teaching Reform in Colleges and Universities
- 3 Results and Discussion
- 4 Conclusions
- References
- Document-Level Sentiment Analysis of Course Review Based on BG-Caps
- 1 Introduction
- 2 Related Work
- 3 Method
- 3.1 BiGRU Module
- 3.2 Attention Mechanism Module
- 3.3 Capsule Network
- 4 Results
- 4.1 Experimental Details
- 4.2 Metrics
- 4.3 Experimental Results
- 5 Conclusion
- References
- Research on Effective Teaching Based on the BOPPPS Model Under the Background of Engineering Education Professional Certification
- 1 The Connotation and Essence of BOPPPS
- 2 BOPPPS and Effective Teaching
- 3 Diversified Evaluation System and Its Application
- 4 Conclusion
- References
- A Study of Vocational College Students' Anxiety in English Vocabulary Learning
- 1 Introduction
- 2 The Relationship Between the English Vocabulary Level of Vocational College Students and Related Tests
- 2.1 English Vocabulary Proficiency Test for Vocational College Students
- 2.2 The Correlation Between English Vocabulary Level and the Score of Level A Test and Final Examination for Vocational College Students
- 3 A Survey of English Vocabulary Learning Anxiety of Vocational College Students
- 3.1 Research Method
- 3.2 Research Questions
- 3.3 Research Objectives and Tools
- 3.4 Analysis of Research Results
- 4 Suggestions for Alleviating the English Vocabulary Learning Anxiety of Vocational College Students
- 4.1 From the Aspect of Students
- 4.2 From the Aspect of Teachers
- 4.3 From the Aspect of Schools
- 5 Conclusion
- References
- Forecast and Analysis of Passenger Flow at Sanya Airport Based on Gray System Theory
- 1 Introduction
- 2 The Modeling Steps of the Gray Prediction GM(1,1)
- 2.1 Step 1 Judging the Feasibility of Modeling
- 2.2 Step 2 Generate Accumulation Series x(1)
- 2.3 Step 3 Build a GM(1,1) Model
- 2.4 Step 4 Verify the Model
- 3 Prediction of Passenger Flow at Sanya Airport Based on the GM(1,1) Model
- 3.1 Forecast by Yearly Data
- 3.2 Forecast by Monthly Data
- 4 Conclusions
- References
- Regulatory Technology in Finance
- Decentralized Counterparty Matches and Automatic Settlement of Interest Rate Swap Through Blockchain's Smart Contracts
- 1 Introduction
- 2 Related Work
- 2.1 Interest Rate Swaps Based on Ethereum for Crypto Tokens
- 2.2 Interest Rate Swaps Based on Consortium Chains
- 3 Design of an Ethereum-Based Interest Rate Swap Platform for Fiat Currency
- 3.1 Primary Roles of the Platform
- 3.2 Automatic Counterparty Matching Based on Position Index
- 3.3 Interest Rate Swap Smart Contract for Interest Exchange Amount Calculation and Settlement
- 3.4 Implementation of System Prototype
- 4 Conclusion
- References
- Imbalanced Problem in Initial Coin Offering Fraud Detection
- 1 Introduction
- 2 Background
- 3 Data
- 4 Data Analysis
- 4.1 Feature Extraction
- 4.2 Outlier Screening
- 4.3 Imbalanced Data Processing
- 5 Conclusion
- 5.1 Contribution
- 5.2 Further Work
- References
- The Impact of Policy on the Clustering of the Blockchain Industry
- 1 Introduction
- 2 Research Hypothesis and Model Setting
- 2.1 Research Hypothesis
- 2.2 Model Setting
- 3 Casual Identification of Government Management and Blockchain Industry Clustering
- 3.1 Data and Variables
- 3.2 Model Checking
- 3.3 Empirical Analysis
- 4 Conclusion
- References
- Credit Risk Analysis of Chinese Companies by Applying the CAFÉ Approach
- 1 The Background and Related Current Issues of Financial Markets in China
- 2 Credit Risk Analysis by Applying the CAFÉ Approach Under a Big Data Framework
- 2.1 The Framework of the CAFÉ Hologram Risk Analysis
- 2.2 Extraction of Risk Features Based on the Gibbs Sampling Algorithm
- 2.3 The Construction of a Credit Transition Matrix for Companies in China's Financial Market
- 3 The Study of Listed Companies in China by Applying CAFÉ Risk Analysis
- 3.1 The Risk Assessment for the Listed Company "Cross-Border Communication (002,640)"
- 3.2 The Risk Assessment for the Listed Company "Guangzhou Langqi (000,523)"
- 3.3 The Risk Assessment for the Listed Company "Dongxu Optoelectronics (000,413)"
- 3.4 Risk Assessment for the Listed Company "Kangdexin (002,450)"
- 3.5 The Risk Assessment for the Listed Company "Kangmei Pharmaceutical (600,518)"
- 3.6 The Risk Assessment for the Listed Company "Tianxiang Environment (300,362)"
- 3.7 Risk Assessment for the Listed Company "Shenwu Environmental (300,156)"
- 3.8 The Risk Assessment for the Issuer "Yongmei Group and Yunenghua Group" in the Capital Market
- 4 Conclusion and Discussion
- References
- Author Index
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