Proceedings of Ninth International Congress on Information and Communication Technology

Name: Proceedings of Ninth International Congress on Information and Communication Technology | ICICT 2024, London, Volume 5
Brand: Springer
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ICICT 2024, London, Volume 5

Xin-She Yang Simon Sherratt Nilanjan Dey Amit Joshi(Editor)

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Published on 1. August 2024

XXIII, 675 pages

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978-981-97-3289-0 (ISBN)

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Xin-She Yang obtained his D.Phil. in Applied Mathematics from the University of Oxford and subsequently worked at the Cambridge University and the National Physical Laboratory (UK) as a Senior Research Scientist. He is currently Reader in Modeling and Optimization at Middlesex University London and Adjunct Professor at Reykjavik University (Iceland). He is also elected Bye-Fellow at Cambridge University and the IEEE CIS Chair for the Task Force on Business Intelligence and Knowledge Management. He was included in the "2016 Thomson Reuters Highly Cited Researchers" list.

Simon Sherratt was born near Liverpool, England, in 1969. He is currently Professor of Biosensors at the Department of Biomedical Engineering, University of Reading, UK. His main research area is signal processing and personal communications in consumer devices, focusing on wearable devices and health care. He received the 1st place IEEE Chester Sall Memorial Award in 2006, the 2nd place in 2016, and the 3rd place in 2017.

Nilanjan Dey is Assistant Professor at the Department of Information Technology, Techno India College of Technology, India. He has authored/edited more than 75 books with Springer, Elsevier, Wiley, CRC Press and published more than 300 peer-reviewed research papers. He is Editor-in-Chief of the International Journal of Ambient Computing and Intelligence; Series Co-editor of Springer Tracts in Nature-Inspired Computing (STNIC); and Series Co-editor of Advances in Ubiquitous Sensing Applications for Healthcare, Elsevier.

Amit Joshi is Director of Global Knowledge Research Foundation, also Entrepreneur and Researcher who has completed his Masters' and research in the areas of cloud computing and cryptography in medical imaging. He has an experience of around 10 years in academic and industry in prestigious organizations. He is Active Member of ACM, IEEE, CSI, AMIE, IACSIT-Singapore, IDES, ACEEE, NPA, and many other professional societies. He is International Chair of InterYIT at International Federation of Information Processing. He has presented and published more than 50 papers in national and international journals/conferences of IEEE and ACM. He has also edited more than 40 books which are published by Springer, ACM, and other reputed publishers. He has also organized more than 50 national and international conferences and programs in association with ACM, Springer, and IEEE to name a few across different countries including India, UK, Europe, USA, Canada, Thailand, Egypt, and many more.

Editor

Xin-She Yang

Simon Sherratt

Nilanjan Dey

ISNI: 0000 0005 2902 6447

Amit Joshi

Content

Intro
Preface
Contents
Editors and Contributors
A New Wavelet Visual Weighting Model to Optimize Image Coding and Quality Evaluation Based on the Human Psychovisual Quality Properties
1 Introduction
2 Wavelet Visually Based Image Quality Coding
3 Wavelet Visual-Based Image Quality
4 Results and Discussion
5 Conclusion and Perspectives
References
Optimizing the IoT PAYLOAD Encryption Watermarking-Oriented Applying Computational Intelligence and Visual Quality Coding to Improve the Vehicular Speed Controller Platform's Features
1 Introduction
2 Road Safety Platform Architecture
3 AI Vehicle Recognition and Image Watermarking Integration
4 Results and Discussion
5 Conclusion
References
Influence of Ethical Behavior on Job Satisfaction of Members of Information System Project Team
1 Introduction
2 Theoretical Background
2.1 Job Satisfaction
2.2 Ethical Culture
2.3 Ethical Climate
2.4 Ethical Leadership
3 Research Design and Methodology
4 Data Analysis
4.1 Validity and Reliability
4.2 Significance of Structural Model
4.3 Hypothesis Testing
5 Discussion of Results
6 Conclusion
References
To Be or Not To Be-After AI Revolution
1 Introduction
2 AI Tools-Student Survey 2023 May
2.1 Survey Environments
2.2 Awareness, Liking, Confidence, and Frequency of Usage
2.3 Future Career, Professional Usage
2.4 Cheating
3 Summary
References
Use of Analytical Methods in Variant Forecasting Tasks
1 Introduction
2 Materials and Method
3 Results
4 Conclusion
References
Toward a Classification of Factors Influencing eWOM in Online Shopping Through a Systematic Literature Review
1 Introduction
2 Electronic Word-of-Mouth (eWOM)
3 Methodology and Results
4 Conclusion, Limits, and Implications
References
Away from Theory: A Cloud Storage Application with Public Key Searchable Encryption Feature
1 Introduction
1.1 Contribution
1.2 Organization
2 Application Overview
2.1 Comprehensive Feature Set
2.2 Submodule Interplay
3 Auth Submodule
4 FileManager Submodule
5 SearchableEncryption Submodule
6 Interaction Among Submodules
7 Conclusion
References
Developing a Serious Game for Acute Pain Detection by Utilizing Virtual Reality and Brain-Computer Interfaces
1 Introduction
2 Background
2.1 Brain-Computer Interfaces
2.2 Serious Games
2.3 Fourier Analysis
2.4 Pain
3 Methodology
3.1 Pain Detection
4 Results and Discussion
4.1 Results from Pain Detection CNN
5 Further Research
6 Conclusion
References
Hidden Knowledge Extraction for Association Rule Mining Technique Based on the Apriori and Frequent Pattern Growth Algorithms: A Case Study
1 General Introduction
2 Problem Statement Formulation
2.1 Problem Associated with Apriori Algorithm
2.2 Proposed Solution of the Problem
3 Related Works
3.1 Apriori Algorithm Related Work
3.2 Frequent Pattern Growth Related Work
4 Research Methodology
4.1 Data Description
4.2 Frequent Pattern Growth Algorithm
4.3 Apriori Algorithm Pseudo-Code
4.4 Performance Metrics Used for the Analysis of the Rules
5 Implementation of the Algorithms
5.1 Useful Data Structure Identification
5.2 Analysis of the Memory Requirements of the Algorithms
6 Experimental Results and Discussion
7 Conclusions
References
Integration of Distributed Intrusion Detection Systems in IoT Infrastructure
1 Introduction
2 Machine Learning Background
3 Related Works
4 Methodology
4.1 Proposed Security Framework for the Intrusion Detection in the IoT Infrastructure
4.2 Proposed Deployment Model-Based Distributed Intrusion Detection System (DIDS)
5 Experimental Setup
5.1 Performance Analysis Measures
5.2 Evaluation
6 Conclusion and Future Work Avenue
References
Predictive Analysis Model to Improve the Control of Eating Disorders in Adolescents in Metropolitan Lima Based on Machine Learning
1 Introduction
1.1 Importance of the Problem
2 Contribution
2.1 Related Works
3 Predictive Analysis Model of Eating Disorders in Adolescents
4 Method
4.1 Participants
4.2 Procedure
4.3 Predictive Model
4.4 Architecture
4.5 Main Contribution
5 Experimentation
6 Results
7 Validation
8 Discussion
9 Conclusion
References
A Predictive Model to Support Decision-Making for the Accreditation of Learning Programs Using Data Mining and Machine Learning
1 Introduction
2 Literature Review
2.1 Accreditation Process with ABET
2.2 Big Data in University Teaching
2.3 A Framework for Automation to Evaluate Academic Accreditation Requirements in Saudi Arabian Universities
2.4 An Integrated Perspective on Data Analytics in Higher Education
2.5 An Updated Survey on Learning Analytics and Educational Data Mining
3 Methodology
3.1 Data Preprocess
3.2 Methods
3.3 Web Design and Implementation
3.4 Interpretation/Application
4 Results
4.1 Model Evaluation
4.2 Confusion Matrix
4.3 ROC Curve
4.4 Web Implementation Results
5 Discussion and Conclusion
References
Design of a Blockchain-Based Organ Donation and Transplantation Management Framework
1 Introduction
2 Overview of Blockchain Technology
3 Organ Donation and Transplantation Management Framework
4 System Requirements
5 Conclusions
References
Audio Style Transfer Using a Modified Lightweight TimbreTron Pipeline
1 Introduction
2 Methodology
2.1 Data Selection
2.2 Data Cleaning and Feature Engineering
2.3 Our Proposed Pipeline
2.4 Architecture
3 Discussion and Results
3.1 Validation Methodology
3.2 Results
4 Future Work and Conclusion
4.1 Future Work
5 Conclusion
References
Deep Dive into Invoice Intelligence: A Benchmark Study of Leading Models for Automated Invoice Data Extraction
1 Introduction
2 Related Work
3 Methodology
3.1 Data Acquisition
3.2 Model Training
3.3 Models Overview
3.4 Experiments
4 Results
4.1 Overall Performance Analysis
4.2 Performance on Key Fields
4.3 Resource Consumption Results
5 Conclusion
6 Future Work
References
Combined ECG Analysis Approach Based on Detection of Deviation from the Personal or Population Norm Using Wearable Devices
1 Introduction
1.1 Background
1.2 Problem Statement
1.3 Objectives
2 Literature Review
2.1 AI Analysis of ECG to Detect Deviation from the Population Norm
2.2 Real-Time ECG Monitoring via Wearable Technology
2.3 Multi-step or Combined Analysis for ECG Data Interpretation
2.4 Individual Model Training Coupled with Wearable Technology
3 Methodology
3.1 Personal ECG Norm Model Generation Process
3.2 Concept Architecture
4 Expected Results and Requirements
4.1 Expected Results
4.2 Requirements
5 Challenges and Solutions
5.1 Challenges
5.2 Solutions
6 Conclusion and Future Directions
References
Atenea Lab: A Softwarized IoT Laboratory for Research and Knowledge Transfer
1 Introduction
1.1 Motivation
1.2 Proposal and Key Points
1.3 Contribution
2 State of the Art
3 Our Proposal: Atenea Lab
3.1 Architecture
3.2 User Operation
4 Atenea Lab in Practice
4.1 Test and Limitations
4.2 An Agrifood Prototype
5 Conclusions and Future Work
References
Exploring the Antecedents of Purchase Intention for Organic and Healthy Foods: A Systematic Literature Review
1 Introduction
2 Purchase Intention
3 Organic Food
4 Healthy Food
4.1 Healthy/Unhealthy Eating Definition
4.2 Mind/Body Healthy Eating Definition
4.3 Healthy Eating Guidelines
5 Methodology and Results
5.1 Step 1-Preparation of the Research Question
5.2 Step 2-Search for Studies and Works Related to the Research Question
5.3 Step 3-Selection and Evaluation of Studies
5.4 Step 4-Analysis and Synthesis
5.5 Step 5-Results and Reporting
6 Conclusion and Limits
References
Communicating Universe
1 Introduction
2 Quantifying Shannon Information
3 Probabilities and Odds
4 Communicating Physics
5 One Picture of Micro- and Macro-world
6 Conclusion
References
An Overview on Diagnosis of Endometriosis Disease Based on Machine Learning Methods
1 Introduction
2 Endometriosis and Medical Imaging
3 Constructing an Informative Training Dataset
4 Feature Extraction and Selection
5 Machine Learning Algorithms for Endometriosis Analysis
6 Model Training, Validation, and Evaluation
7 Clinical Integration and Real-World Impact
8 Future Directions and Challenges
9 Conclusion
References
Blockchain-Integrated Chatbot
1 Introduction
2 Chatbots in Customer Service-Advantages and Drawbacks
2.1 Food Delivery Chatbot
2.2 Building Our Food Delivery Chatbot
3 Integration of Blockchain Technology in Chatbot
3.1 Theoretical Framework of a Blockchain-Integrated Chatbot
4 Discussion-Advantages and Disadvantages of a Blockchain-Integrated Chatbot
5 Conclusion
References
Switching from DOORS to DOORS Next Generation. Identifying the Main Usability Issues. A Case Study
1 Introduction
2 Theoretical Background
2.1 Requirements Engineering Process
2.2 Requirements Engineering and Management Tools
2.3 Usability
3 Usability Evaluation of the RM Tools
3.1 The Evaluation Methodology
3.2 The Evaluation Results
4 Conclusion
References
A Study on Image Enhancement and Noise Filtering of Kato-Katz Images
1 Kato-Katz Images
1.1 Image Features
2 Rank Order Filtering
3 Gabor Filters
4 Other Noise Filtering Techniques
5 Noise Evaluation
6 Entropy
7 Conclusion
References
Synthetic Data for Feature Selection
1 Introduction
2 Literature
3 Methodology
3.1 Feature Selection Algorithms
3.2 Datasets
3.3 Subset Evaluation Metrics
3.4 Experimental Setup
4 Results and Discussion
5 Conclusion
References
RayPet: Unveiling Challenges and Solutions for Activity and Posture Recognition in Pets Using FMCW Mm-Wave Radar
1 Introduction
2 System Model
2.1 Overview of FMCW Radar
2.2 Overview of System Design
3 Signal Pre-processing
3.1 Noise Removal
3.2 Data Aggregation
3.3 Voxelization
3.4 Windowing
4 Experiment
4.1 Radar Configuration and Data Acquisition
4.2 Experimental Setup and Data Collection
4.3 Pre-processing
4.4 Classifiers and Model Parameters
5 Discussion
6 Conclusion
References
"Slice and Dice": A Corpus-Based Study of Russian Binomials
1 Introduction
1.1 The Process of Ideomatization
1.2 Binomials as a Tool for Studying the Ideomatization Process
2 The Study of Idiomaticity of Russian Binomials
2.1 Material
2.2 Methods
3 Results
4 Conclusion
References
Design of Deep Learning-Based Intelligent Blind Direct Sequence Code Division Multiple (DS-CDMA) Access Receiver
1 Introduction
1.1 Related Work
2 DS-CDMA Baseband Communication Model
2.1 Formation of the Composite Base Band Signal C
2.2 DS-CDMA Receivers
2.3 Proposed Method CNNIR
3 Detection by Deep Learning
3.1 Basic Working of the CNN Detector
3.2 CNN Training Phase
3.3 Generation of Xtrain and Ytrain
3.4 Test Phase and Test Error
3.5 Application Phase
4 Construction and Training of CNN
5 Experimental Results
6 Conclusion
References
Nutrilac: Application for Dairy Cattle Diet Formulation
1 Introduction
2 Materials and Methods
2.1 Data Collection
2.2 Nutritional Requirements
2.3 Optimization Model
2.4 System Development
3 Results and Discussion
3.1 Mobile Application
3.2 Results Analysis
4 Final Considerations
References
Data Mining and Machine Learning-Based Predictive Model to Support Decision-Making for the Accreditation of Learning Programmes at the Higher Education Authority
1 Introduction
2 Literature Review
2.1 Accreditation in Higher Education
2.2 Data Mining and Machine Learning in Higher Education
2.3 Predictive Modeling in Accreditation
2.4 Machine Learning Algorithms for Accreditation
3 Methodology
3.1 Data Collection
3.2 Data Preprocessing
3.3 Feature Selection
3.4 Model Selection
3.5 Model Development and Evaluation
3.6 Model Deployment
4 Results
5 Discussion and Conclusion
References
Enquiry-Based Learning Pedagogy-Design, Development and Delivery of a Reproducible Robotics Framework
1 Introduction
2 Methodology
2.1 Selection of Robotic Platform for the Framework
2.2 Workshops Design
2.3 Workshops Delivery
2.4 Students' Feedback and Data Collection
3 Results
3.1 Qualitative Feedback
3.2 Quantitative Analysis
4 Conclusion
Appendix
References
Application of the Negative Selection Algorithm to Detect Distributed Denial of Service Attacks
1 Introduction
2 Network Protocols
2.1 UDP
2.2 DNS Protocol
2.3 NTP
2.4 Distributed Denial of Service Attacks
2.5 Negative Selection Algorithm
3 Methodology
4 Results
5 Conclusion
References
PharmaSys: Toward Preventing Prescription Misuse Using a HIPAA-Compliant Blockchain Protocol
1 Introduction
1.1 Contributions
2 Related Work
3 Preliminaries
3.1 HIPAA
3.2 Blockchain
3.3 Quorum-Based Consensus
3.4 BlueChain
4 HIPAA Design Principles
5 Solution: PharmaSys
5.1 Solution Overview
5.2 PharmaSys Blockchain
5.3 Node Types
5.4 Quorum Consensus
5.5 The Sharding Algorithm
5.6 Block Construction
6 Experimental Evaluation
6.1 Implementation
6.2 Testing Environment
6.3 Scalability
6.4 Robustness
7 Conclusion and Future Work
References
Exploration and Integration Potential of ChatGPT in Civil Engineering: Advances, Challenges and Application Prospects
1 Introduction
2 Methodology
3 Advances in the Application of ChatGPT in Civil Engineering
3.1 Automated Generation of Technical Documentation
3.2 Development of Innovative Infrastructure Public Policies
4 Technical Challenges in Implementing ChatGPT in Civil Engineering
4.1 Safety
5 Potential of ChatGPT in Civil Engineering
5.1 Civil Engineering Education and Training
5.2 Real-Time Data Interpretation
5.3 Project Planning and Scheduling
5.4 Adherence to Regulations and Standards
5.5 Query Tool
5.6 Personalization of Learning
5.7 Preparation of Valuations
6 Conclusions
References
A Case Study of Student Performance Predictions in English Course: The Data Mining Approach
1 Introduction
2 Related Work
3 Data Pre-processing and Exploring
3.1 Data Pre-processing
3.2 Exploratory Data Analysis-EDA
4 Experimental Settings and Results
4.1 Data Settings
4.2 Results
5 Conclusion
References
Securing Bluetooth Technology in Healthcare: A Comprehensive Case Study and Practical Insights
1 Introduction
2 Case Study
2.1 Bluetooth in Healthcare
3 Background
3.1 Bluetooth History and Versions
3.2 Bluetooth Security
3.3 Bluetooth Attacks
3.4 Bluetooth Protection
4 Conclusion
References
Modeling and Simulation in Temperature Control in Milk Coagulation for Edam Cheese Production Using Fuzzy Logic
1 Introduction
1.1 Edam Cheese
1.2 Fuzzy Logic in LabVIEW
1.3 LabVIEW
1.4 Objectives
2 Material and Methodology
2.1 Material
2.2 Methodology
3 Results and Discussion
4 Conclusions
References
AMEACrypt: Android Mobile Encryption Application Generating Password Using AES Algorithm
1 Introduction
2 Theoretical Framework
2.1 Requirements Phase
2.2 Design Phase
2.3 Development Phase
2.4 Testing Phase
2.5 Deployment Phase
2.6 Review Phase
2.7 Testing and Operating Procedures
3 System Architecture
4 Result and Discussion
4.1 Password Generator
4.2 Password Vulnerability Checker
4.3 Ciphertext Encryption
4.4 Ciphertext Decryption
4.5 File Encryption and Decryption
5 Evaluation Results
6 Conclusion
References
Securing the Internet of Flying Things (IoFT): A Proficient Defense Approach
1 Introduction
2 Related Work
3 System Architecture
4 Experimental Results
5 Conclusions and Future Directions
References
Speaker Recognition with Deep Learning Approaches: A Review
1 Introduction
2 Databases
3 Classification Methods
4 Deep Learning in Speaker Recognition
5 Conclusion
References
Social Media Emotion Detection and Analysis System Using Cutting-Edge Artificial Intelligence Techniques
1 Introduction
1.1 Objectives
1.2 Literature Review
2 Methodology
2.1 Data Collection
2.2 Data Cleaning and Preparing
2.3 Training and Testing Models
2.4 Select Appropriate Model
3 Application Flowchart
4 Model Selection
5 Diagram of Emotion Detection Process
6 Result Discussion
7 Conclusion
References
Utilization of Social Media as a Community and School Relations Channel in Encouraging Students' Entrepreneurial Career Choices
1 Introduction
2 Method
3 Findings and Discussion
3.1 Engagement and Awareness
3.2 Resource Sharing
3.3 Collaborations and Networking
3.4 Interactive Learning
3.5 Feedback and Support
3.6 Showcasing Student Initiatives
3.7 Partnerships and Sponsorships
3.8 Continuous Support
4 Conclusion
References
Enhancing Healthcare User Interfaces Through Large Language Models Within the Adaptive User Interface Framework
1 Introduction
2 Literature Review
3 The Adaptive User Interface Framework
4 Methodology
5 Experimentation and Results
5.1 Experimental Setup
5.2 Examples of Real-Time UI Adaptations and Their Impact
5.3 Reliability Assessment
6 Discussion
7 Conclusion
References
Enhancing Telehealth Patient Experience with Emotion-Sensitive Large Language Models
1 Introduction
2 Literature Review
2.1 Telehealth Innovations
2.2 Emotion Detection Technologies
2.3 Patient Engagement Strategies
3 Methodology
4 Experiments
4.1 Experiment 1: Emotion Detection Through Facial Recognition with ChatGPT
4.2 Experiment 2: Background Generation Based on Emotions
5 Discussion
6 Conclusion
References
Different Processes for Graphical Recognition of Derivative of a Function: An Eye-Tracker Analysis
1 Introduction and Literature Review
2 Methodolody
3 Analysis and Discussion
4 Conclusions
References
Emails Classification: Comparing Statistics, Machine-Learning, Deep-Learning, and ChatGPT Prompting Techniques
1 Introduction
2 Related Work
3 Data
4 Methodology
4.1 Data Pre-processing
4.2 Systems
5 Results
6 Conclusions and Future Work
References
Blockchain Technologies for Transparency in FinTech
1 Introduction
2 Background
2.1 FinTech
2.2 Blockchain History and Definition
2.3 Blockchain Technologies
3 Blockchain in Fintech and Related Works
3.1 How Blockchain Transforms Fintech Industry
3.2 What is Transparency?
3.3 Related Works
4 Cross-Border Funds Transfer (Methodology and Tools)
5 Conclusion
References
Energy Detection-Based Measurement and Analysis of Spectrum Occupancy for Ad hoc Cognitive Network Resource for Federal University of Technology, Minna, Nigeria
1 Introduction
2 Cognitive Radio Techniques
2.1 Matched Filter Detection (MFD)
2.2 Cyclostationary Feature Detection (CFD)
2.3 Energy Detection (ED)
3 System Model
4 Results and Discussion
5 Conclusion
References
Third-Party Data Leaks on Municipal Websites
1 Introduction
2 Related Work
3 Study Setting and Methodology
3.1 The Network Traffic Analysis
3.2 Informing the Municipalities
4 Results
4.1 Leaked Personal Data
4.2 Responses by Municipalities
5 Discussion
6 Conclusions
References
Evaluating Tabular Data Generation Techniques on the DaFne Platform: Insights from a Predictive Maintenance Case Study on Bridges
1 Introduction
2 Related Work
3 DaFne Platform
4 Use Case: Predictive Maintenance for Bridges
5 Experiments
5.1 Bridge Data
5.2 Datasets: Original, Enrichment, and Synthesis
5.3 Evaluation of Synthetic Data
5.4 Predictive Maintenance Algorithm
5.5 Models Evaluation
6 Results
6.1 Evaluation of Synthetic Data
6.2 Predictive Maintenance
7 Conclusion and Discussion
7.1 (Weather) Fusion Service: Weather Data
7.2 Reproduction Service: Synthetic Data
8 Future Work
References
Cyber Threat Hunting Using Large Language Models
1 Introduction
2 Overview and Foundations
2.1 Cyber Threat Hunting
2.2 Large Language Models
3 LLMs for Cyber Threat Hunting
3.1 Log Analysis and Anomaly Detection
3.2 Generation of Indicators of Compromise (IOCs)
3.3 Threat Intelligence Analysis
4 Evaluation
4.1 Metrics
4.2 Real-Time Analysis
4.3 Bias and Fairness
5 Future Directions and Challenges
6 Conclusion
References
Transforming Patient Experience in Underserved Areas with Innovative Voice-Based Healthcare Solutions
1 Introduction
2 Literature Review
3 Methodology: Voice-Driven Appointment System Integration
3.1 Initial Set-Up
3.2 Voice to Text Conversion Process
3.3 Identification of Time Preferences and Patient Identity
3.4 Integration with Online Booking Platforms
3.5 Information Collection and Privacy
3.6 Preventing Double Booking
4 Experiments
5 Discussion
6 Conclusion
References
Fortifying Machine Learning-Powered Intrusion Detection: A Defense Strategy Against Adversarial Black-Box Attacks
1 Introduction
2 Related Work
3 Background
3.1 Adversarial Machine Learning: Black-Box Attacks
3.2 Dataset
3.3 Classification Algorithms
4 Design and Architecture
4.1 Strategy for the Detection of Adversarial Inputs
5 Experimentation
5.1 Data Preprocessing
5.2 Train the IDS
5.3 Adversarial Data Generation
5.4 Training the Defense Layer
5.5 Evaluate the Target Model with Defense
6 Results and Discussion
7 Conclusions and Future Work
References
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Proceedings of Ninth International Congress on Information and Communication Technology

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