Big Data Management and Analysis for Cyber Physical Systems: Selected Papers of BDET 2022

Preface
Organization
	Committees
	International Advisory Committees
	Conference Chairs
	Program Chairs
	Publication Chair
	Technical Committee
Contents
Data Model and Computation
Passenger Flow Control in Subway Station with Card-Swiping Data
	1 Introduction
	2 Methodology
	3 Case Study
		3.1 An Introduction of the Model Demo Layout
		3.2 Data Description
		3.3 Simulation and Evaluation of the Demo
		3.4 Simulation and Evaluation of Optimized Demo
	4 Conclusions
	References
On Anomaly Detection in Graphs as Node Classification
	1 Introduction
	2 Background
	3 Methodology
		3.1 Datasets
	4 Experimental Assessment
		4.1 Evaluation Setup
		4.2 Results Analysis and Recommendations
	5 Conclusion
	References
Agriculture Stimulates Chinese GDP: A Machine Learning Approach
	1 Introduction
	2 Methodology
	3 Results and Analysis
		3.1 K-Means Clustering
		3.2 Clusters Analysis
		3.3 Time Analysis
		3.4 Quantification Analysis
		3.5 Decision Making
		3.6 Decisions Evaluation
	4 Conclusions and Future Works
	References
Short Message Service Spam Detection Using BERT
	1 Introduction
	2 Related Works
	3 Dataset
	4 Research Methods
	5 Results and Discussion
	6 Conclusion
	References
Big Data and Data Management
A Study on the Application of Big Data Technology in the Excavation of Intangible Cultural Resources
	1 Introduction
	2 Problems Existing in the Mining of Intangible Cultural Resources by Big Data Technology
		2.1 Characteristics of Big Data
		2.2 Existing Problems
	3 Construction of Intangible Cultural Resources Mining System
		3.1 Basic Forms of Intangible Cultural Heritage
		3.2 The Basic Idea of Applying Big Data Analysis
		3.3 Construction of Data Management Platform
		3.4 Data Analysis Platform Construction
		3.5 The Specific Implementation of Intangible Cultural Resources Mining
	4 Data Processing
		4.1 Data Collection
		4.2 Data Analysis
		4.3 Find Users with Similar Interests
	5 Test Analysis
		5.1 Test Procedure
		5.2 Analysis of Results
	6 Conclusion
	References
Student Achievement Predictive Analytics Based on Educational Data Mining
	1 Introduction
	2 Methodology
		2.1 System Development Life Cycle
		2.2 System Use Case Diagram
		2.3 Software and Hardware Requirements
		2.4 Data Analysis
	3 Results and Discussion
		3.1 User Login Interface
		3.2 Student Basic Information Administrator
		3.3 Student Course Score Manager
		3.4 Data Analysis Users
		3.5 Extent of Compliance of the Developed System to the ISO 25010 Software Quality Standards
	4 Conclusion
	References
Prediction and Analysis of COVID-19’s Prevention and Control Based on AnyLogic in the Background of Big Data
	1 Introduction
	2 Significance of Problem
	3 Literature Review
	4 Modelling Questions
	5 Modeling Methodology
		5.1 Data Information Collection
		5.2 Determine the Required Stock and Establish the Model
	6 Results and Analysis
		6.1 The Number of Contacts is Constant, and the Infection Rate Changes
		6.2 The InfectionRate is the Same, and the Number of Contacts Changes
		6.3 It Can also Be Seen from the Sensitivity Analysis Chart
	7 Conclusion and Recommendation
	References
Distributed Multi-source Service Data Stream Processing Technology and Application in Power Grid Dispatching System
	1 Characteristics of Data Flow
	2 Overview of Flow Computing
	3 Research Direction of Flow Computing
	4 Analysis of Data Stream Real-Time Transmission Technology
	5 Real Time Processing Technology of Business Flow
	6 Conclusion
	References
Modern Information Technology and Application
NVLSM: Virtual Split Compaction on Non-volatile Memory in LSM-Tree KV Stores
	1 Introduction
		1.1 A Subsection Sample
	2 Background
		2.1 Log-Structured Merge Tree
		2.2 Non-volatile Memory
	3 Non-volatile Virtual Split Compaction Log-Structured Merge Tree (NVLSM)
		3.1 Overall Architecture
		3.2 Table Format
		3.3 Virtual Split Compaction
	4 Evaluation
		4.1 Experiment Setup
		4.2 Benchmark Results
	5 Related Work
		5.1 Compaction Optimization
		5.2 LSM-Tree on NVM
	6 Conclusion
	References
Evaluation of the Performance Character of SPIRIT Value Through Pancasila Education During the Covid-19 Pandemic
	1 Introduction
	2 Literature Review
	3 Methods
	4 Results and Discussion
		4.1 Result
		4.2 Discussion
	5 Recommendations
	6 Conclusions
	References
Is It Possible to Instilling Character SPIRIT Values Through Civic Education During COVID-19 Pandemic?
	1 Introduction
	2 Methods
	3 Literature Review
	4 Results and Discussion
		4.1 Result
		4.2 Discussion
	5 Conclusions
	References
An Adaptive Self-detection and Self-classification Approach Using Matrix Eigenvector Trajectory
	1 Introduction
	2 State-of-the-Art
	3 Proposed Algorithm
		3.1 Algorithm Procedure
		3.2 Mathematical Inference
	4 Results
	5 Conclusion
	References
Super-Resolution Virtual Scene of Flight Simulation Based on Convolutional Neural Networks
	1 Introduction
	2 Multi-spectral Remote Sensing Image Processing
		2.1 Multi-band Remote Sensing Image Synthesis
		2.2 Atmospheric Correction
	3 Super-Resolution Restoration
		3.1 Super-Resolution and SRCNN
		3.2 Training Set
		3.3 Super-resolution Remote Sensing Images
	4 Real-Time Visualization and Virtual Scene
		4.1 Terrain Model Based on Elevation Data
		4.2 Real-Time Loading of Super-Resolution Scene
		4.3 Virtual Scene Implementation
	5 Conclusion and Future Work
	References
User Assignment for Full-Duplex Multi-user System with Distributed APs
	1 Introduction
	2 System Model
		2.1 Network Model
		2.2 Channel Model
		2.3 Treating Interference as Noise
	3 Optimal User Assignment
	4 Simulation
	5 Conclusion
	References
CDN Service Detection Method Based on Machine Learning
	1 Introduction
	2 Current Research Status
	3 Implementation Principle of CDN
		3.1 Technical Overview of CDN
		3.2 Principles of CDN Technology
		3.3 Workflow of CDN
	4 CDN Domain Name Detection Method Based on Machine Learning
		4.1 Detection of CDN Domain Names
		4.2 Analysis of CDN Domain Names
		4.3 Bagging Algorithm
	5 Experimental Results and Analysis
		5.1 Experiment Analysis
		5.2 Result Analysis
	6 Conclusion
	References
A Decision Method for Missile Target Allocation
	1 Introduction
	2 Problem Modeling
	3 Optimal Solution of Multi-objective WTA Scheme
	4 CODASGRA Method Based on Improved Expert Method Empowerment
		4.1 Weight Determination Method Based on Improved Expert Method
		4.2 Improved CODASGRA Method
		4.3 Determination of Preference Coefficient Based on Game Theory
	5 Simulation Results
		5.1 Experimental Scene
		5.2 Experimental Results
	6 Conclusion
	References
A Physical Ergonomics Study on Adaptation and Discomfort of Student’s E-Learning in the Philippines During the COVID-19 Pandemic
	1 Introduction
	2 Methodology
		2.1 Selecting a Template
	3 Results and Discussion
		3.1 Risk Mitigation for Sitting Task (While Doing Online Class)
		3.2 Recommendation on Ergonomic Workstation for Studying
		3.3 Limitations of This Study
	4 Conclusion
	References
Author Index