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

✍ Scribed by Loon Ching Tang, Hongzhi Wang

• Publisher: Springer
• Year: 2022
• Tongue: English
• Leaves: 208
• Series: Lecture Notes on Data Engineering and Communications Technologies, 150
• Category: Library

✦ Synopsis

This book consists of selected and peer-reviewed papers presented at 2022 4th International Conference on Big Data Engineering and Technology (BDET), held during April 22–24, 2022, in Singapore. As IT infrastructure and data management technologies have become critical assets and capabilities for today’s enterprises, this book aims to be part of the effort in contributing to their development. In particular, the BDET conference series aims to provide the much needed forum for researchers and practitioners across the world who are actively engaged in advancing research and raising awareness of the many challenges in the diverse field of big data engineering and technology to share their research outcomes and bounce ideas off their international colleagues. Over the last few years, the conference series has brought together the latest developments of novel theory in big data, algorithm and applications, emerging standards for big data, big data infrastructure, MapReduce and cloud computing, big data visualization, big data curation and management, big data semantics, scientific discovery and intelligence, which collectively form parts of the cyber-physical systems of interest. It is hoped that the book will prove useful to students, researchers, and professionals working in the field of big data engineering and applications in cyber-physical systems.

✦ Table of Contents

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