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Proceedings of Ninth International Congress on Information and Communication Technology : ICICT 2024, London, Volume 7



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Autore: Yang Xin-She Visualizza persona
Titolo: Proceedings of Ninth International Congress on Information and Communication Technology : ICICT 2024, London, Volume 7 Visualizza cluster
Pubblicazione: Singapore : , : Springer Singapore Pte. Limited, , 2024
©2024
Edizione: 1st ed.
Descrizione fisica: 1 online resource (636 pages)
Altri autori: SherrattSimon  
DeyNilanjan  
JoshiAmit  
Nota di contenuto: 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 -- References -- Rotational Vibration-Based Piezoelectric Energy Harvesting with Bandwidth Enhancement Through Magnetic Oscillators -- 1 Introduction -- 2 Analytical Model and Parameters -- 3 Results -- 4 Conclusion -- References -- Learner-Centered Learning Activity Support Service Based on Push Messages -- 1 Introduction -- 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 -- References -- Employing AI to Predict the Cambodia Securities Exchange Index -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 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 -- 5 Conclusion -- References -- The South African Government's COVID-19 Message: An Analysis of the Official YouTube Channel Titles -- 1 Introduction -- 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 -- 1 Introduction -- 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 -- References -- Generalized Krylov Subspace-Based MOR of Periodic Systems -- 1 Introduction -- 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 -- References -- Navigating the Digital Horizon: Emerging Technologies in Value-Added Tax Management -- 1 Introduction -- 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 -- 5 Conclusion -- References -- Traffic Analysis and Signal Timing Optimization of Typical Suburban Intersections -- 1 Introduction -- 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 -- 4 Conclusion -- References -- Statistical Analysis of Stakeholders Perception on Adoption of AI/ML in Sustainable Agricultural Practices in Rural Development -- 1 Introduction -- 2 Methodology -- 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 -- 1 Introduction -- 2 Methodology -- 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 -- References -- The Use of Blockchain for Identity and Access Management (IAM) in Multi-cloud -- 1 Introduction -- 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 -- References -- Leveraging Machine Learning for Identifying Occupancy Patterns from Power Data with a Moving Window Feature Extraction Method -- 1 Introduction -- 2 Study Methodology -- 2.1 Aggregated Power Consumption Datasets -- 2.2 Data Preparation and Processing -- 3 Results and Discussion -- 3.1 Machine Leaning Algorithms -- 3.2 Window Size Analysis -- 3.3 Classification Results -- 4 Conclusion -- References.
Dimensional Reduction to Improve Learning Recommender Systems Precision Based on Grades -- 1 Introduction -- 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 -- 3 Methodology -- 4 Results -- 5 Conclusions -- References -- Assessing Ethical Implications of ChatGPT in Higher Education: A Focus on Students -- 1 Introduction -- 2 Methods -- 3 Results -- 3.1 Falsification or Alteration of Documents -- 3.2 Dishonest Academic Practices -- 3.3 Identity Theft -- 3.4 Drugs -- 4 Discussion -- 5 Conclusions -- References -- Predicting Student Success in Higher Education with Social, Economic, and Education Variables Using Machine Learning Techniques -- 1 Introduction -- 2 Review of Matrix Factorization Techniques -- 3 Methodology -- 4 Results -- 5 Conclusion -- References -- The Media Role in Preventing Radicalization: The Police Students' Perspective -- 1 Introduction -- 2 Methods -- 2.1 Sample -- 2.2 Instrument and Data Collection -- 3 Analytic Method -- 4 Results -- 5 Discussion and Conclusion -- References -- Proxy Re-encryption Protocol in Off-Road Emergency -- 1 Introduction -- 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 Discussion -- 4.1 Security Analysis -- 4.2 Efficiency Analysis -- 5 Conclusion -- References -- Bridging Social Media and Cryptocurrency: A Deep Learning-Based Twitter Sentiment Analysis for Bitcoin Market -- 1 Introduction -- 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 -- 7 Conclusion -- References -- Mouse Dynamics-Based Online Fraud Detection System for Online Education Platforms -- 1 Introduction -- 2 Literature Review -- 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 -- 5 Conclusion -- References -- Silent Subcarrier-Based Interference Rejection Combining for Mobile Black-Space Cognitive Radios -- 1 Introduction -- 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 -- 5 Conclusion -- References -- What Affects Customer Engagement Among E-Wallet Customers in Indonesia -- 1 Introduction -- 2 Literature Review -- 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 -- 3 Methodology -- 4 Results -- 4.1 Sample Profiles -- 4.2 Assessment of Measurement Model -- 4.3 Assessment of Structural Model.
5 Conclusion and Implications.
Titolo autorizzato: Proceedings of Ninth International Congress on Information and Communication Technology  Visualizza cluster
ISBN: 981-9733-02-2
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910878052903321
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Serie: Lecture Notes in Networks and Systems Series