Proceedings of Ninth International Congress on Information and Communication Technology : ICICT 2024, London, Volume 7 / edited by Xin-She Yang, Simon Sherratt, Nilanjan Dey, Amit Joshi.

Format:

Book

Contributor:

Yang, Xin-She, editor.

Series:

Lecture Notes in Networks and Systems, 2367-3389 ; 1003

Language:

English

Subjects (All):

Telecommunication.

Technology--Sociological aspects.

Technology.

Information technology.

Internet of things.

Computational intelligence.

Artificial intelligence.

Communications Engineering, Networks.

Information and Communication Technologies (ICT).

Internet of Things.

Computational Intelligence.

Artificial Intelligence.

Local Subjects:

Communications Engineering, Networks.

Information and Communication Technologies (ICT).

Internet of Things.

Computational Intelligence.

Artificial Intelligence.

Physical Description:

1 online resource (636 pages)

Edition:

1st ed. 2024.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2024.

Summary:

This book gathers selected high-quality research papers presented at the Ninth International Congress on Information and Communication Technology, held at Brunel University, London, on 19–22 February 2024. It discusses emerging topics pertaining to information and communication technology (ICT) for managerial applications, e-governance, e-agriculture, e-education and computing technologies, the Internet of Things (IoT), and e-mining. Written by respected experts and researchers working on ICT, the book offers an asset for young researchers involved in advanced studies. The book is presented in 10 volumes.

Contents:

Intro

Preface

Contents

Editors and Contributors

A Literature Review on Teaching and Learning Database Normalisation: Approaches and Tools

1 Introduction and Background

2 Review of Related Work

3 Methodology

4 Approaches and Models

5 Tools and Applications

6 Discussion and Conclusion

References

Development of Text-Reading Camera to Assist the Legally Blind Using Neural Network Image Processing Algorithm

1 Introduction

2 Methodology

3 Results and Discussion

4 Conclusion

Rotational Vibration-Based Piezoelectric Energy Harvesting with Bandwidth Enhancement Through Magnetic Oscillators

2 Analytical Model and Parameters

3 Results

Learner-Centered Learning Activity Support Service Based on Push Messages

2 Related Works

3 Requirements and Architecture of the Learner-Centered Learning Information System

3.1 Requirements of Learning-Centered Learning Information Service

3.2 Design of the Learner-Centered Learning Activity Support System

4 Implements of the Learner-Centered Learning Activity Support Services

5 Conclusion

Employing AI to Predict the Cambodia Securities Exchange Index

2 Literature Review

3.1 Least Square Approach

3.2 Deep Learning Algorithm

3.3 Sample Size and Data Collection

3.4 Performance Measures

4 Findings and Analysis

The South African Government's COVID-19 Message: An Analysis of the Official YouTube Channel Titles

2 South Africa's Response to the COVID-19 Pandemic

3 Social Media Use in Crisis Environments

4 Methodology

5 Findings

5.1 The Message Components

5.2 The Message

5.3 The Desired Message Outcomes

6 Discussion

7 Conclusion.

References

SolAR: Immersive Learning Through an Augmented Reality Application

2 Related Work

3 System Design

3.1 Brainstorming

3.2 AR Prototype Design in Unity Game Engine

3.3 Final Design

4 System Design

5 Future Work and Conclusion

Generalized Krylov Subspace-Based MOR of Periodic Systems

2 LDTP System

2.1 Lyapunov Equations

2.2 Lifted LDTP System Representation

3 Generalized Inverses

4 Krylov Subspace Method

5 Periodic Structured Arnoldi

6 Numerical Analysis

7 Conclusion

Navigating the Digital Horizon: Emerging Technologies in Value-Added Tax Management

2 Theoretical Background: VAT Management and Technology

2.1 The Digital Transformation of VAT Management

2.2 The Role of Technology in VAT Management: An Evolving Landscape

3 Research Design

3.1 Data Sample, Data Collection and Preprocessing

3.2 Bibliometric Analyses

4 Results and Discussion

Traffic Analysis and Signal Timing Optimization of Typical Suburban Intersections

2 Traffic Situation Survey and Analysis of the Typical Suburban Intersection

2.1 Current Status of Signal Timing

2.2 Investigation and Analysis of the Current Situation of Traffic Flow

2.3 Problems at Intersections

3 Optimization Design of Traffic Signal Timing at Intersections

3.1 Optimization Design of Signal Timing

3.2 Optimization Effect Evaluation

Statistical Analysis of Stakeholders Perception on Adoption of AI/ML in Sustainable Agricultural Practices in Rural Development

3 Result and Discussion

4 Discussion

5 Dependent Variables

6 Control Variables

7 Implications for Rural Development

8 Conclusions

References.

Self-hosted Open-Source Dependency Management Solutions

3 Search Process

3.1 Search Strings

4 Comparison Criteria

4.1 Open-Source Availability

4.2 Dependency Pull Capability

4.3 Built-In Cloud Solution Support

4.4 Common Vulnerabilities and Exposures

4.5 Active Maintenance

4.6 Single Sign On

4.7 License

4.8 Supported Programming Language

4.9 Tech Stack

5 Comparison of Software Solutions

5.1 Single Programming Language Support Solutions

5.2 Multi-programming Language Support Solutions

5.3 Docker and Containerization

6 Discussion of Applicability of the Solutions

6.1 Applicability of Language-Specific Solutions in Dependency Management

6.2 Applicability of Solutions Supporting Multiple Programming Languages

6.3 Applicability of Docker in Dependency Management

6.4 Future Work

6.5 Conclusion

The Use of Blockchain for Identity and Access Management (IAM) in Multi-cloud

2 Identification and Authentication

3 Identity Management Across Multiple Cloud Instances

3.1 Federated Identity Management

3.2 Self-Sovereign Identity

4 Blockchain

5 CloudBloc Model

5.1 Components of the CloudBloc Model

5.2 Steps in the CloudBloc Model

6 CloudBloc Implementation

6.1 CloudBloc Components and the Prototype

6.2 Integration of CloudBloc Components

7 Results

8 Conclusion

Leveraging Machine Learning for Identifying Occupancy Patterns from Power Data with a Moving Window Feature Extraction Method

2 Study Methodology

2.1 Aggregated Power Consumption Datasets

2.2 Data Preparation and Processing

3.1 Machine Leaning Algorithms

3.2 Window Size Analysis

3.3 Classification Results

Dimensional Reduction to Improve Learning Recommender Systems Precision Based on Grades

2 Review of Matrix Factorization Techniques

2.1 Single Value Decomposition (SVD)

2.2 SVD++

2.3 Matrix Factorization

2.4 Non-negative Matrix Factorization

2.5 Bayesian Matrix Factorization

4 Results

5 Conclusions

Assessing Ethical Implications of ChatGPT in Higher Education: A Focus on Students

2 Methods

3.1 Falsification or Alteration of Documents

3.2 Dishonest Academic Practices

3.3 Identity Theft

3.4 Drugs

Predicting Student Success in Higher Education with Social, Economic, and Education Variables Using Machine Learning Techniques

The Media Role in Preventing Radicalization: The Police Students' Perspective

2.1 Sample

2.2 Instrument and Data Collection

3 Analytic Method

5 Discussion and Conclusion

Proxy Re-encryption Protocol in Off-Road Emergency

2 Preliminaries

2.1 Participants

2.2 Application Scenario

2.3 Security Building Blocks

3 Construction

3.1 Notations

3.2 System Setup

3.3 Whole Protocol

4.1 Security Analysis

4.2 Efficiency Analysis

Bridging Social Media and Cryptocurrency: A Deep Learning-Based Twitter Sentiment Analysis for Bitcoin Market

2 Novelty Aspect

3 Literature Review

4 Proposed Research Methodology

4.1 Proposed Method and Pre-processing

4.2 Dataset Documentation

4.3 Long Short-Term Memory (LSTM)

4.4 Convolutional Neural Network (CNN).

4.5 Artificial Neural Network (ANN)

4.6 Recurrent Neural Network (RNN)

4.7 Model Development

4.8 Sentiment Analysis

5 Result Analysis and Discussion

5.1 The Logic on Integration of Twitter Sentiment Data with Bitcoin Price Data

5.2 Deep Learning Model Result Interpretation

5.3 Bitcoin Price Forecasting

5.4 Evaluation Metrics

6 Limitations Highlight for Potential Improvement and Future Research

Mouse Dynamics-Based Online Fraud Detection System for Online Education Platforms

2.1 Data and Attribute Comparison Matrix

3 Data Collection and Preprocessing

4 Experiments and Evaluation

4.1 Scenario 1: Including l in the Commonly Employed Feature Set

4.2 Scenario 2: Removing l from the Commonly Employed Feature Set

4.3 Scenario 3: Removing l and t from the Commonly Employed Feature Set

4.4 Evaluating User Behavior-Centric Feature Set

4.5 Evaluating Reliability of Features

Silent Subcarrier-Based Interference Rejection Combining for Mobile Black-Space Cognitive Radios

2 Scenarios and Methods for IRC-Based BS-CR

2.1 Methods

3 IRC for Black-Space Cognitive Radio

3.1 Estimation of the Spatial Covariance Matrix

3.2 Interpolation-Based Interference Covariance Tracking with Mobility

3.3 IRC Process

4 Simulation Results

What Affects Customer Engagement Among E-Wallet Customers in Indonesia

2.1 Service-Dominant Logic Theory (S-D Logic Theory)

2.2 Customer Commitment

2.3 Customer Trust

2.4 Service Experience

2.5 Positive Emotion

2.6 Customer Satisfaction

4.1 Sample Profiles

4.2 Assessment of Measurement Model

4.3 Assessment of Structural Model.

5 Conclusion and Implications.

Notes:

Includes bibliographical references and index.

ISBN:

981-9733-02-2