Big Data Intelligence and Computing

Name: Big Data Intelligence and Computing | International Conference, DataCom 2022, Denarau Island, Fiji, December 8-10, 2022, Proceedings
Brand: Springer
Price: 85.59 EUR
Availability: OnlineOnly

International Conference, DataCom 2022, Denarau Island, Fiji, December 8-10, 2022, Proceedings

Ching-Hsien Hsu Mengwei Xu Hung Cao Hojjat Baghban A. B. M. Shawkat Ali(Editor)

Springer (Publisher)

Published on 30. April 2023

XVIII, 560 pages

E-Book

PDF with digital watermarking

System requirements

978-981-99-2233-8 (ISBN)

€85.59incl. 7% vat

System requirements

for PDF with digital watermarking

E-Book Single Licence

Available for download

Description

More details

Other editions

Content

Intro
Preface
Organization
Contents
Big Data Algorithm and Systems
Tiansuan Constellation
1 Introduction
2 Related Work
2.1 Design Overview
2.2 Edge Computing and AI in Space
3 Method
3.1 Datasets
3.2 Model Design
3.3 Hardware
4 Experimental Results
4.1 The Comparison
4.2 Future Work
5 Conclusion
References
Adopting a Deep Learning Split-Protocol Based Predictive Maintenance Management System for Industrial Manufacturing Operations
1 Introduction
2 Literature Reviews
3 Overview of Predictive Maintenance and Industries 4.0
4 Strategy to Adopt in Predictive Maintenance
4.1 Application of Machine Learning Methods to Predict Predictive Maintenance (PdM)
5 Pillars of the Total Predictive Maintenance in Industries 4.0
6 Quantum Computing and Digital Manufacturing 4.0
7 Reliability-Centered Maintenance (RCM)
7.1 Benefits of the RCM Approach
7.2 Key Principles of Reliability-Centered Maintenance (RCM)
8 Intelligent Asset Management (IAM and RCM-Controlled Predictive Maintenance)
8.1 Wings Within the IAM
8.2 Benefits that Could Be Achieved from AIN
9 System Architectures and PDM in Industries 4.0
10 AI-Enabled Split-Migration Architecture
11 Implementation Details
12 Conclusion
References
A Digital Twin for Bus Operation in Public Urban Transportation Systems
1 Introduction
2 Related Works
3 Methodology
3.1 Simulation of Urban Mobility (SUMO)
3.2 Configuring SUMO to Reproduce Observed Traffic
3.3 Bus Operation Digital Twin (BODIT)
4 Experiments
4.1 Description of the Scenario
4.2 Experimental Setup
5 Results
6 Conclusion and Future Work
References
Predicting Residential Property Valuation in Major Towns and Cities on Mainland Fiji
1 Introduction
2 Literature Review
2.1 Property Valuation Approaches
2.2 Feature Selection of Properties
2.3 Machine Learning Models for Property Predictions
3 Methodology
3.1 Data Analysis
3.2 Data Pre-processing
3.3 Data Visualization
4 Results and Discussion
4.1 Evaluation on Test Data
5 Conclusion
6 Limitations
7 Future Work
References
Designing an AI-Driven Talent Intelligence Solution: Exploring Big Data to Extend the TOE Framework
1 Introduction
2 Background of the Study
2.1 Ethical Implications of AI in Talent Management
2.2 The Application of AI in Talent Management
2.3 Career Services in Higher Education
2.4 Theories in Technological Adoption
3 Design Science Methodology
4 Proposed AI Oriented TM Approach
5 Discussion and Conclusion
References
Development of Bilingual Chatbot for University Related FAQs Using Natural Language Processing and Deep Learning
1 Introduction
2 Background
2.1 What is a Chatbot and How it Works?
3 Methodology
3.1 Existing Studies
4 Proposed Chatbot
4.1 NLP Techniques Used
4.2 Chatbot Application Development on Web
5 Advantages of the Proposed System
5.1 24/7 Availability
5.2 Instant Response
5.3 Consistency
5.4 Bilingual
6 Chatbot Testing
7 Limitations
8 Recommendations and Future Scope
9 Conclusion
References
Machine Learning Algorithms Performance Investigation in Fake News Detection
1 Introduction
2 Traditional Media
2.1 Printed Media
2.2 Radio
2.3 Television
3 Modern Media
4 Research Objective
5 Methodology
6 Literature Review
6.1 Naïve Bayes
6.2 Decision Tree
6.3 Random Forest
6.4 Support Vector Machine (SVM)
6.5 K-Nearest Neighbors (KNN)
6.6 Logistic Regression
7 Findings
7.1 Algorithm Category Best Suited for Fake News Detection
7.2 Top 6 Algorithms for Fake News Detection In Recent Five Years
7.3 Best Algorithm Performer for Fake News Detection
7.4 Naïve Bayes
7.5 Decision Tree
7.6 Random Forest
7.7 Support Vector Machine (SVM)
7.8 K-Nearest Neighbor(KNN)
7.9 Logistic Regression
7.10 Experimental Results Summary
8 Discussion
9 Conclusion
10 Future Work
References
Big Data Privacy and Security
Robust Graph Embedding Recommendation Against Data Poisoning Attack
1 Introduction
2 Related Work
2.1 Graph Graph-Data Attack Methods
2.2 Graph-Data Defend Methods
3 Preliminaries
4 Our Methods
4.1 Pre-process GNN Supervised Detection Structure
4.2 Pre-process GNN Supervised Detection Method
4.3 Optimization of the Model
4.4 Model Evaluation Metric
5 Experiments
5.1 Data-Sets
5.2 Baseline Model
5.3 Experiment Analysis
5.4 Parameter Analysis
6 Conclusion
References
A Secure Sharing Framework Based on Cloud-Chain Fusion for SWIM
1 Introduction
2 Data Sharing Analysis
2.1 ATM Data and Its Classification
2.2 Features of ATM Data Sharing
2.3 ATM Data Sharing Trends
2.4 Security Requirements of ATM Data Sharing
3 Preliminary Knowledge
3.1 Cloud Storage
3.2 Blockchain
3.3 Feasibility of Cloud-Chain Chain Fusion Architecture
3.4 Ciphertext Policy Attribute Based Encryption (CPABE)
4 The ATM Information Security Framework Based on Cloud-Chain Fusion
4.1 ATM Data Sharing Framework
4.2 Data Publishing and Discovery Mechanism (DPAD)
4.3 Operation Record and Traceability Mechanism
4.4 Data Security Protection Mechanism
5 Function and Security Analysis
6 Future Research Directions
6.1 Entities' Attributes Mining and Attribute-Authority Relation Mining Based on Deep Learning
6.2 The Decentralized CPABE Method for Access Control Based on Homomorphic Encryption and Blockchain
6.3 The Data Privacy Protection Based on Computation Offloading and Secure Multi-party Computation
7 Conclusion
References
Privacy-Protective Distributed Machine Learning Between Rich Devices and Edge Servers Using Confidence Level
1 Introduction
2 Related Work
3 Research Issues and the Proposed Method
3.1 Research Issues
3.2 Proposed Method
4 Implementation and Evaluation of Proposed Model
4.1 Dataset
4.2 Experimental Environment
4.3 Preliminary Experiments
4.4 Experiment 1 (Used only Personal Data for Training on Edge Device)
4.5 Experiment 2 (Adding Four Individuals Different from the Edge Server)
4.6 Consideration About the Amount of Training and Data
5 Summary and Future Work
References
A Novel Approach of Securing Medical Cyber Physical Systems (MCPS) from DDoS Attacks
1 Introduction
2 Related Work
3 System Model
4 Proposed Methodology
5 Results and Discussion
6 Conclusion
References
LTCS: Lightweight Tree-Chain Scheme for ADS-B Data Authentication
1 Introduction
2 Related Works
3 Our Proposed Scheme
4 Performance Analysis
5 Conclusion
References
Electronic and Remote Voting Systems: Solutions to Existing Problems - An Experimental Approach to Secure Voting Platforms on Endpoints
1 Introduction
2 Literature Review
3 Research Methodology
3.1 Why Do We Need to Secure Content Delivery Systems for Voting?
3.2 Is Multifactor Authentication not a Viable Option to Secure Platform Delivery?
3.3 Do Antivirus Web Browsers Provide Protection for Voting?
3.4 Are TLS, SSL, and HTTPS Are not Viable Options for Voting Platforms?
4 Experiment
4.1 Test Case Theories
4.2 Test Case 1 - Configuration and Use of Antivirus Solutions for Protected Browser Mode
4.3 Test Case 2 - Using the Safe Exam Browser
5 Challenges Faced
6 Future Works and Recommendations
7 Conclusion
References
Research on the Mechanism of Cooperative Defense Against DDoS Attacks Based on Game Theory
1 Introduction
1.1 A Subsection Sample
2 Analysis of Research Status and Development Trends
2.1 Problems (Defect Analysis)
2.2 Analysis of Development Trend
3 Defense Against DDoS Attacks Based on Game Theory
3.1 Overall Design Idea
3.2 Collaborative Defense Scheme
3.3 SDN-Based Victim Side Defense Against DDoS Attacks
4 Conclusion
References
Detection of Malicious Node in VANETs Using Digital Twin
1 Introduction
2 Literature Review
3 Proposed Methodology
3.1 Phase 1
3.2 Phase 2
4 Results and Discussion
5 Conclusion
References
Big Data Analytics and Applications
The Storage and Sharing of Big Data in Air Traffic Management System
1 Introduction
2 The Architecture of Storage and Sharing for Aviation Big Data
2.1 New Aviation Network Architecture
2.2 Design of Policy Layer in New Aviation Network
2.3 Design of Policy Layer in New Aviation Network
3 Application Analysis of New Network Structure
4 Conclusion
References
Automated Recognition and Classification of Cat Pain Through Deep Learning
1 Introduction
2 Related Work
3 Data Collection
3.1 Data Collection
4 Model Training
4.1 Basic Model Training
4.2 Enhanced Model Training
5 Conclusions and Future Work
References
Perceiving Airline Passenger Booking Lifecycle with the Utilization of Data Warehouse
1 Introduction
2 Research Methodology
3 Related Work
3.1 Data Warehouse Implementations
3.2 Airline Usecases
4 Challenges Whilst Implementing
5 Benefits of Data Warehouses
6 Analysis and Result
6.1 Business Requirement Analysis
6.2 Business Process Selection
6.3 Grain Declaration
6.4 Dimension Identification
6.5 Fact Identification
6.6 Analysis
6.7 Hosting Platform and Schedule
6.8 Snowflake Schema
7 Future Scope and Recommendations
8 Conclusion
References
Utilizing an Airline Data Warehouse for Website Data Analytics: A Conceptual Design
1 Introduction
2 Research Methodology
3 Literature Review
3.1 The Need for Data Warehouse in Digital Space?
3.2 Challenges Faced
4 Results Discussion
4.1 Data Warehouse Conceptual Design
4.2 Snowflake Schema
4.3 Proposed Infrastructure Architecture
4.4 Design with Snowflake Schema
5 Limitations
6 Future Scope and Recommendations
7 Conclusion
References
Multi-platform Performance Analysis for CRUD Operations in Relational Databases from Java Programs Using Hibernate
1 Introduction
2 Background
3 Architecture
4 Solution Implementation
5 Solution Evaluation
6 Conclusions and Future Work
References
Enhancing Data Warehouse Efficiency by Optimizing ETL Processing in Near Real Time Data Integration Environment
1 Introduction
2 Research Methodology
2.1 Data Warehouse Implementations Factors for Consideration in Optimizing ETL Tools for Near Real-Time Data Integration
3 Optimization of Near-Real Time Data Warehousing Processes
3.1 Near-Real Time Data Integration
3.2 Optimizing the Extraction Process of Near-Real Time Data
3.3 Enhancing the Transformation Process of Near-Real Time Data
3.4 Enhancing the Loading Process of Near-Real Time Data
3.5 Efficient Design Targeting Specific Needs of Independent Data Warehousing
4 Limitations
5 Conclusion
References
Big Data Visualization Tools, Challenges and Web Search Popularity - An Update till Today
1 Introduction
2 Literature Review
2.1 Problem Statement, Objectives and Methodology
2.2 Data Comparison and Analysis
2.3 Discussion and Conclusion
References
The Australian Digital Observatory: Social Media Collection, Discovery and Analytics at Scale
1 Introduction
2 Related Work
3 Australian Digital Observatory Design and Implementation
3.1 ADO Social Media Aggregation
3.2 ADO Topic Modelling
3.3 ADO Search Term Analysis
4 Exemplar Case Study in the Use of the Australian Digital Observatory
5 Conclusions and Future Work
References
A Web Application-Based Infant Health Monitoring System for Parents & Medical Professionals
1 Introduction
2 Literature Review
3 Methodology
4 Primary Objective
4.1 Feedback Data
5 Prototype Design of Proposed System
5.1 Requirements
6 Discussions
7 Conclusion
References
Impact of Business Analytics and Decision Support Systems on E-commerce in SMEs
1 Introduction
1.1 Problem Statement
1.2 Objectives of Study
2 Literature Review
2.1 Theoretical Content
2.2 People
2.3 Governance
2.4 Culture
2.5 Technology
2.6 People
2.7 Governance
2.8 Overall Culture
3 Limitations and Future
4 Recommendation
4.1 Recommendations for the Audience
5 Conclusion
References
Big Data Managements and Services
Task Offloading and Resource Allocation in Satellite Terrestrial Networks: A Deep Deterministic Policy Gradient Approach
1 Introduction
2 Related Work
3 System Model and Problem Formulation
3.1 System Model
3.2 Problem Formulation
4 DDPG-Based Optimization Algorithm for Task Offloading and Resource Allocation
4.1 DDPG-Based Optimization Algorithm for Task Offloading
4.2 Resource Allocation Optimization Algorithm
5 Simulation Experiment and Result Analysis
5.1 Simulation Experiment Environment
5.2 Task Offloading and Resource Allocation Policy Validation
6 Conclusion
References
Attendance Monitoring and Management Using Facial Recognition
1 Introduction
2 Literature Review
3 Research Methodology
4 Experimental Results and Discussions
5 Conclusion
References
Reinforcement Learning-Based Task Scheduling Algorithm for On-Satellite Data Analysis
1 Introduction
2 Motivation and Related Work
3 System Model
3.1 Model Workflow
3.2 Problem Formulation
4 RL-Based Task Scheduling Algorithm
5 Evaluation
5.1 Overview of Datasets
5.2 Setup and Baselines
5.3 Scheduling Algorithm Performance
6 Conclusion
References
Optimizing Data Stream Throughput for Real-Time Applications
1 Introduction
2 Related Work
3 Overview
4 Methodology for Performance Optimization
5 Experimental Analysis
5.1 Experimental Settings
5.2 Experimental Results and Analysis
6 Conclusions
References
Miscellaneous Topic of Big Data
MagicBatch: An Energy-Aware Scheduling Framework for DNN Inference on Heterogeneous Edge Servers in Space-Air-Ground Computation
1 Introduction
2 Related Work
3 Batch Performance Analysis
4 MagicBatch Design
4.1 Overview
4.2 Performance Prediction
4.3 Scheduling Algorithm
5 Evaluation
5.1 Experiment Setup
5.2 Effectiveness of MagicBatch
6 Conclusion
References
Understanding Syntax Errors in C Sharp Using Game-Based Techniques at Tertiary Level
1 Introduction
2 Literature Review
2.1 Programming Trends and Issues
2.2 Introductory Programming Students' Failure and Dropout Statistics
2.3 Students and Programming Issues
2.4 What Aspect Would Reduce Dropout and Failure Rate?
2.5 Similar Research Done
2.6 Game-Based Learning and Gamification
2.7 Other GBL Strategies for Increasing Students' Performance
2.8 Positive Effects of Video Games
3 Methodology
4 Evaluation Data
5 Game Application Design and Concept
5.1 Game Content
5.2 Gaining Student's Interest
5.3 Game Coding
6 Practicable Use of GBL in Programming
7 Study Limitations
8 Discussion
9 Conclusion and Future Work
Appendix
References
What Makes AI Addictive? The Role of Discounting, Risk Aversion and Self-regulation
1 Introduction
2 Related Work
3 Model
4 Findings
5 Discussion
5.1 Limitations
5.2 Future Work
6 Conclusions
References
Two High-Performance Antenna Selection Schemes for Secure SSK Modulation in Intelligent Industrial Wireless Sensing Systems
1 Introduction
2 Related Work
3 System Model
4 Proposed Methods
4.1 Friendly Jamming Signal Design
4.2 LBAS Scheme
4.3 GEDAS Scheme
4.4 Complexity Analysis
5 Simulation Results
6 Conclusion
References
Multi-user Service Placement in LEO Satellite Constellations
1 Introduction
2 Related Work
3 Problem Formulation
3.1 System Model
3.2 Placement Model
4 Service Plactment Algorithm
4.1 Time Slice Solving Algorithm Model
4.2 Service Duration Window Algorithm Model
5 Performance Evaluation
5.1 Setup
5.2 Analysis of Simulation Results
6 Conclusion
References
Cooperative Computation Offloading in Multi-tier Satellite Terrestrial Network
1 Introduction
1.1 Background and Motivation
1.2 Our Solution and Contributions
2 Related Work
3 System Model and Problem Formulation
3.1 Multi-tier Architecture for Cooperative Computation Offloading
3.2 Communication Model
3.3 Computation Model
3.4 Problem Formulation
4 Satellite-Adaptive Earliest Completion Time First Algorithm
4.1 Task Priority
4.2 Server Weight
5 Simulation Results
5.1 Experimental Setup
5.2 Results and Analysis
6 Conclusion
References
SPath: An Energy-Efficient DAG Task Offloading Scheme with Space-Ground Cooperative Computing
1 Introduce
2 Framework Description and System Model
2.1 SPath Framework Description
2.2 Task Model
2.3 Calculation Model
2.4 Transmission Model
2.5 Problem Formulation
3 Algorithm
3.1 DAG Task Structure Reconstruction
3.2 Satellite Availability Judgment
3.3 Shortest Path Algorithm
4 Evaluation
4.1 Experiment Setup
4.2 Energy Consumption and Latency Reduction
4.3 Impact of Satellite Numbers
5 Conclusion
References
Improving Performance of Docker Instance via Image Reconstruction
1 Introduction
2 Background
3 Performance Analysis
3.1 Performance Analysis of Image Building
3.2 Performance Analysis of File Accessing in Container
4 System Model
4.1 Time Weight
4.2 Storage Weight
4.3 Problem Formulation
4.4 Image Reconstruction Algorithm
5 Evaluation
6 Related Work
7 Conclusion
References
Edge Cloud Selection Strategy for Micro-service Chain Migration in Mobile Edge Computing
1 Introduction
2 Related Work
3 System Model and Problem Definition
3.1 Definition Model of Micro-service Chain Structure
3.2 Problem Definition
3.3 Problem Formulation
4 Gibbs Monte Carlo Sampling Algorithm
5 Experiment and Results
6 Conclusion
References
Service Migration in Mobile Edge Computing Based on 5G Network User Plane
1 Introduction
2 Related Work
3 System Model and Problem Definitions
3.1 System Model
3.2 Problem Definition
4 Algorithm
4.1 Markov Decision Process Modeling
4.2 RL-Based Online Service Migration Algorithm
5 Experiments and Results
5.1 Dataset Description
5.2 Effect of the Computing Intensity of Servers on Reward
5.3 Effect of UPF Transmission Delay
6 Conclusion
References
An Overview of the Internet of Things (IoT) Applications in the Health Sector in Saudi Arabi
1 Introduction
2 Healthcare System Use of IoT
3 Saudi Healthcare System and IoT Systems
4 Expenditure of IoT in Healthcare in Saudi Arabia
5 Benefits of the Uses of IoT in Saudi Arabia
6 Challenges of IoT
7 The Challenges, Therefore, Fall Under These Two Categories
8 Conclusion
References
Author Index

System requirements

Save as PDF Copy link into clipboard

Schweitzer Fachinformationen

Big Data Intelligence and Computing

Description

More details

Other editions

Additional editions

Content

System requirements