ICT for Intelligent Systems

Name: ICT for Intelligent Systems | Proceedings of ICTIS 2024, Volume 1
Brand: Springer
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Proceedings of ICTIS 2024, Volume 1

Jyoti Choudrie Eva Tuba Thinagaran Perumal Amit Joshi(Editor)

Springer (Publisher)

1st Edition

Published on 26. September 2024

XX, 402 pages

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978-981-97-5799-2 (ISBN)

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Prof. Jyoti Choudrie is a professor of Information Systems in Hertfordshire Business School, Management, Leadership, and Organization (MLO) department where she previously led the Systems Management Research Unit (SyMRU) and currently is a convenor for the Global Work, Economy and Digital Inclusion group. She is also an editor-in-chief for Information, Technology & People Journal (An Association of Business School 3 grade journal). In terms of research, Professor Choudrie is known as the Broadband and Digital Inclusion expert at University of Hertfordshire, which was also the case at Brunel University. To ensure her research is widely disseminated, Professor Choudrie co-edited a Routledge research monograph with Prof. C. Middleton: The Management of Broadband Technology Innovation and completed a research monograph published by Routledge Publishing and focused on social inclusion along with Dr. Sherah Kurnia and Dr. Panayiota Tsatsou titled: Social Inclusion and Usability of ICT-Enabled Services.
Eva Tuba received B. S. and M. S. degrees in Computer Science and Mathematics from Graduate School of Computer Science, John Naisbitt University, and Faculty of Mathematics, University of Belgrade, and Ph.D. in Computer Science from Faculty of Informatics and Computing, Singidunum University. She was teaching several mathematics and computer science courses at the Graduate School of Computer Science, John Naisbitt University. Previously, she taught at Singidunum University, Faculty of Informatics and Computing and Faculty of Technical Sciences. Currently, she is an assistant professor at Trinity University, Texas, USA. Her research interests include artificial intelligence, machine learning, swarm intelligence algorithms, image processing, and wireless sensor networks. Eva Tuba is the author or coauthor of more than 90 scientific papers published in journals, international conferences, and chapters in Springer and Elsevier books. She is a reviewer for SCI journals and international conferences.
Dr. Thinagaran Perumal received his B.Eng. in Computer and Communication System Engineering from Universiti Putra Malaysia in 2003. He completed his M.S.C. and Ph.D. Smart Technologies and Robotics from the same university in 2006 and 2011, respectively. Currently, he is appointed as a senior lecturer at the Department of Computer Science, Faculty of Computer Science and Information Technology, Universiti Putra Malaysia. He is also currently appointed as the head of Cyber-Physical Systems in the university and has also been elected as the chair of IEEE Consumer Electronics Society Malaysia Chapter. Dr Thinagaran Perumal is the recipient of 2014 IEEE Early Career Award from IEEE Consumer Electronics Society for his pioneering contribution in the field of consumer electronics. His research interests are toward interoperability aspects of smart homes and Internet of Things (IoT), wearable computing, and cyber-physical systems.
Dr. Amit Joshi is currently the director of Global Knowledge Research Foundation, also an entrepreneur and researcher who has completed his graduation (B.Tech.) in Information Technology, and M.Tech. in Computer Science and Engineering and completed his research in the areas of cloud computing and cryptography in medical imaging with a focus on analysis of the current Government Strategies and World forums needs in di?erent sectors on security purposes. He has an experience of around 10 years in academic and industry in prestigious organizations. He is an active member of ACM, IEEE, CSI, AMIE, IACSIT-Singapore, IDES, ACEEE, NPA, and many other professional societies. Further currently, he is also the international chair of InterYIT at International Federation of Information Processing (IFIP, Austria). He has presented and published more than 50 papers in national and international journals/conferences of IEEE and ACM.

Content

Intro
Preface ICTIS 2024 Las Vegas
Contents
About the Editors
1 Probabilistic Full Disclosure Attack On ISO-29167:Speck
1.1 Introduction
1.2 Speck Block Cipher
1.3 Probability Full Disclosure Attack
1.4 Performance Analysis
1.5 Conclusion
References
2 A Case for the Importance of Formal Experimentation in Teaching Programming: A Brief Study with Assembly Language
2.1 Introduction
2.2 Background
2.3 Methodology
2.3.1 Proposed Visual Hands-On Mechanic for the Evaluation
2.3.2 Experiment
2.4 Results
2.5 Conclusion and Future Venues
References
3 A Malmquist Index for Measuring Productivity and Efficiency of ICTs on Literacy Rate Versus Life Expectancy
3.1 Introduction
3.1.1 Aim of the Research Study
3.2 Theoretical Background
3.2.1 Human Development Index Entails the Following
3.2.2 Information Communication Technology (ICT)
3.2.3 Internet Access in Sub-Saharan African Countries
3.2.4 Health (Life Expectancy) and Literacy Rates in Sub-Saharan African Countries
3.3 Research Methodology
3.3.1 Data Envelopment Analysis (DEA)
3.3.2 Malmquist Index
3.3.3 Data Sources and Variables
3.4 Limitations
3.5 Conclusion and Recommendation
References
4 Importance of Cybersecurity Education to Reduce Risks in Academic Institutions
4.1 Introduction
4.2 Methodology
4.2.1 Planning the Search
4.2.2 Conducting the Search
4.2.3 Analysis and Documentation of Results
4.3 Conclusions
References
5 Learn with Love Application to Support the Development of Reading Skills in People with Down Syndrome
5.1 Introduction
5.2 Methodology
5.2.1 Research Design
5.2.2 Participants
5.2.3 Methods, Techniques, and Instruments
5.3 Analysis of the Result
5.3.1 Results of the PROLEC Test Battery
5.3.2 Results of the Survey Carried Out
5.4 Conclusions
References
6 Boosting Accuracy and Reducing Time in Laser Shooting Practices: Video Processing Solutions for Impact Evaluation
6.1 Introduction
6.2 Methodology
6.3 Experimentation
6.4 Results
6.5 Conclusions
References
7 Differential Performance of Satellite Navigation in Urban and Rural Andes of Ecuador
7.1 Introduction
7.2 Propaedeutics in Satellite Navigation
7.2.1 Overview of Global Navigation Satellite Systems
7.2.2 GNSS Conditions in the Andean Region
7.3 Expanded Experiments and Analysis
7.3.1 Experimental Setup and Data Collection
7.3.2 Urban Environment Analysis
7.3.3 Rural Environment Evaluation
7.4 Conclusions
References
8 IP to Satellite Adaptation Level for a Bent Pipe Network Using DVB-S2/RCS2 Standards
8.1 Introduction
8.2 Level of IP Adaptation to DVB-S2/RCS2
8.2.1 IPAL Service Definition
8.2.2 Satellite to IPAL Service Definition
8.3 Simulation Results
8.4 Conclusions
References
9 Performance Analysis for Image Rendering on Different Operating Systems
9.1 Introduction
9.2 Related Work
9.3 Design
9.3.1 Operating Systems
9.3.2 Hardware
9.3.3 PBRT-v3 Configuration
9.3.4 Statistical Analysis and Methodology
9.4 Results
9.4.1 Discussion
9.5 Conclusions and Future Work
References
10 Classification of Motor Imagery Tasks Using EEG Signal Analysis and Linear Discriminant Analysis
10.1 Introduction
10.2 Related Work
10.2.1 Traditional Approaches
10.2.2 Feature Extraction in Motor Imagery Classification
10.2.3 Classification Techniques For Motor Imagery Tasks
10.3 Characterization of the EEG Dataset
10.4 Methodology and Resources
10.4.1 Data Pre-processing and Preparation
10.4.2 Filtering
10.4.3 Time Window Segmentation
10.4.4 Feature Extraction
10.4.5 Common Spatial Pattern
10.4.6 Classification Techniques
10.4.7 Linear-SVM for Brain-Computer Interfaces
10.4.8 LDA for Brain-Computer Interfaces
10.4.9 Optimization Using Grid Search
10.4.10 Evaluation of BCI Classifiers
10.4.11 Possible Methodology Limitations
10.5 Results and Discussion
10.6 Conclusion and Recommendations
References
11 Unveiling Mortality Patterns in Ecuador: A K-Modes Clustering Approach to Categorical Data Analysis
11.1 Introduction
11.2 Background
11.2.1 Machine Learning
11.2.2 Clustering
11.2.3 K-Modes
11.3 Methodology
11.3.1 Data Source and Collection
11.3.2 Data Preprocessing
11.3.3 K-Modes Clustering in Mortality Pattern Analysis
11.4 Results
11.4.1 Descriptive Statistics
11.4.2 K-Modes Clustering Outcomes
11.5 Discussion
11.5.1 Cluster 0: Infant Mortality in Guayas
11.5.2 Cluster 1: Diabetes Prevalence Among Middle-Aged Adults
11.5.3 Cluster 2: HIV/AIDS Impact on Young Adults
11.5.4 Regional Emphasis: The Guayas Province
11.6 Conclusions
References
12 FFAD: A Novel Metric for Assessing Generated Time Series Data Utilizing Fourier Transform and Auto-Encoder
12.1 Introduction
12.2 Related Work
12.2.1 Fourier Transform
12.2.2 Auto-Encoder
12.2.3 Fréchet Distance
12.3 Methodology
12.4 Experiments and Results
12.4.1 Dataset
12.4.2 Experiments and Analysis
12.5 Conclusion
References
13 DeTroll-Leveraging Graph Neural Networks with Attention Mechanism to Detect State-Sponsored Trolls
13.1 Introduction
13.2 Related Work
13.3 Dataset
13.3.1 Data Visualization and Trend Analysis
13.3.2 Feature Extraction
13.4 Proposed Approach
13.5 Implementation
13.6 Results and Discussion
13.7 Conclusion and Future Work
References
14 Cancer Ease: You Are Not Alone!
14.1 Introduction
14.1.1 Problem Statement
14.1.2 Proposed Solution
14.1.3 Project Domain and Limitations
14.2 Background Information and Related Work
14.2.1 Background Information
14.2.2 Software Tools
14.2.3 Literature Review
14.3 Methodology
14.3.1 Survey Analysis
14.3.2 Quantitative Approach
14.4 Conclusion
References
15 Experimental Development of Scripts for Data Network Automation, Using the Python Programming Language and Open-Source Tools
15.1 Introduction
15.2 Methodology
15.2.1 Network
15.2.2 Automation
15.3 Results
15.4 Conclusions
References
16 A Novel Two-Stage Classification Architecture Integrating Machine Learning and Artificial Immune System for Intrusion Detection on Balanced Dataset
16.1 Introduction
16.2 Literature Review
16.3 System Architecture
16.3.1 Dataset Collection
16.3.2 Data Inspection and Pre-Processing
16.3.3 Feature Extraction and Classification
16.4 Experiment Setup and Result Analysis
16.4.1 Evaluative Metric
16.4.2 Balancing the Dataset
16.4.3 Performance of the Models
16.5 Conclusion
References
17 Identification and Functional Annotation of Potential Biomarkers Associated with Thalassemia Using Machine Learning-Based Knowledge Discovery
17.1 Introduction
17.2 Methods
17.2.1 Dataset Acquisition
17.2.2 Statistical and Predictive Methods
17.2.3 Prediction and Enrichment Analysis
17.3 Results and Discussion
17.3.1 Exploratory Analysis of Data Shows Similarities Between Conditions
17.3.2 Statistical and Predictive Analysis
17.3.3 Enrichment Analysis Establishes a Pathway Between Diseases
17.3.4 Genes Identified as Potential Biomarkers
17.4 Conclusions
References
18 Artificial Intelligence in Colorectal Cancer Diagnosis: "SYNERGY-NET" in Campania FESR-POR (European Fund of Regional Development-Regional Operative Program) Research Project
18.1 Introduction
18.2 Materials and Methods
18.3 Results
18.4 Discussion
18.5 Conclusions
References
19 A New Optimization of Agricultural Greenhouse's PAYLOAD Applying Light Weighted, Green Intelligent, and Secured Solutions Based on Visual Watermarking of Objective and Subjective Plant's PAYLOAD
19.1 Introduction
19.2 Proposed Agricultural Greenhouse IoT Platform
19.3 Green, Intelligent, and Secured PAYLOAD Optimization
19.4 Results and Discussion
19.5 Conclusion
References
20 Visiting Distant Neighbors in Graph Convolutional Networks
20.1 Introduction
20.2 Higher-Order Neighbor Convolutions on Graphs
20.3 An Experiment in Semi-supervised Node Classification
20.3.1 Model Architectures
20.3.2 Related Works and Baseline Model
20.3.3 Experimental Setup
20.4 Results
20.5 Future Work and Conclusion
References
21 Navigating Vulnerabilities: RFID Technology in Firearm Management-A Comprehensive Analysis
21.1 Introduction
21.2 Case Study [5]
21.3 Background
21.3.1 Understand RFID Technology
21.3.2 RFID's Key Advantages
21.3.3 Limitations of Tagged Firearms
21.4 Conclusion
References
22 IoT and the Role of Wireless Networks
22.1 Introduction
22.2 Security Concerns in IoT
22.3 Background (Wireless Technologies Deployed Within IoT)
22.3.1 ZigBee
22.3.2 Sigfox
22.3.3 LoRaWAN
22.4 Conclusion
References
23 A Design of Experiments Approach for Assessing Programming Performance in Assembly Language
23.1 Introduction
23.2 Background
23.3 Experiment Setup Context
23.3.1 Teaching Method to Validate
23.3.2 Measuring Metric
23.4 Experiment Design
23.4.1 Response Variable
23.4.2 Factor and Levels
23.4.3 Participant Selection and Characteristics
23.5 Analysis
23.5.1 Post-hoc Analysis
23.6 Conclusions and Future Venues
References
24 Artificial Intelligence in the Context of Robot Journalism
24.1 Introduction
24.2 Method
24.3 Result
24.4 Discussion
24.5 Conclusion
References
25 Signal Fidelity in Public Mobile Networks: Investigating Dominant Distortions in Macro and Micro Cells via Physical Layer Analysis
25.1 Introduction
25.2 Dominant Signal Distortion in Modern Network
25.2.1 Commonly Observed Nonlinear Distortions
25.2.2 Interference and Noise
25.3 Quality Metrics in Modulation Channel
25.4 Dominant Signal Distortions in Macro and Micro Cells
25.5 Conclusion
References
26 Towards a Bio-inspired Real-Time Intrusion Detection in the Smart Grid
26.1 Introduction
26.2 Related Works
26.3 Methods and Experiments
26.4 Results and Discussion
26.5 Potential Implications for Real-World Smart Grid Environment
26.6 Conclusion
References
27 Exploring, Analyzing, and Benchmarking the Job Satisfaction Levels of Developers
27.1 Introduction
27.1.1 Motivation
27.1.2 Research Questions
27.2 Overview of Maslow Theory
27.3 Related Work
27.3.1 Employee's Motivational Theories
27.3.2 Developer's Motivations
27.4 Research Method
27.4.1 Subject Selection
27.4.2 Data Gathering
27.4.3 Data Analysis
27.5 Findings and Discussion
27.5.1 Response to RQ-1
27.5.2 Response to RQ-2
27.5.3 Response to RQ-3
27.6 Research Opportunities
27.7 Threat to Validity
27.7.1 External Validity
27.7.2 Internal Validity
27.7.3 Construct Validity
27.8 Conclusions and Future Work
27.9 Annexure A
References
28 Ensuring Fair Opportunities and Recognition for Emerging Artists in Saudi Arabia: Improving Visibility
28.1 Introduction
28.2 Literature Review
28.2.1 Statues of Art and Artists in the Saudi Culture
28.2.2 The Importance of Art Exhibitions for Emerging Artists
28.2.3 Implementing a Virtual Platform to Help Artists Visibilities
28.2.4 Conclusion
28.3 Methodology
28.3.1 Logic of Inquiry
28.3.2 Methods
28.4 Analysis
28.4.1 Finding and Analysis
28.4.2 Challenges Facing Galleries and Curators
28.4.3 Challenges Faced by Saudi Artists Trying to Exhibit Their Artworks
28.4.4 The Importance of Online Presence for Artists
28.4.5 Conclusion
28.5 Prototype
28.6 Conclusion
References
29 Effect of E-leadership on the Decision-Making of Managers of the Flower Sector of the Sabana de Bogotá
29.1 Introduction
29.2 Theoretical Review
29.2.1 E-leadership
29.2.2 Decision-Making
29.3 Methodology
29.3.1 Six E-competency Instrument (SEC)
29.3.2 General Decision-Making Style Instrument (GDMS)
References
30 A Comparison Between Angular and React Native Frameworks Used in the Development of the MIES_APP Mobile Application
30.1 Introduction
30.1.1 Background
30.1.2 Related Work
30.2 Materials and Methods
30.2.1 Methodology
30.3 Results and Discussion
30.4 Conclusions
References
31 Blockchain-Based KYC: Content Addressable Storage and Encryption
31.1 Introduction
31.2 Literature Review
31.3 Methodology
31.3.1 RPC Call to a Decentralized Network Through Wallet Signer (e.g., MetaMask Wallet)
31.3.2 Encryption and Decryption Using AES-256- GCM Algorithm
31.4 Proposed System
31.5 Results and Discussion
31.6 Conclusion
References
32 Modelling and Prediction of Path Loss in Earth-space Link Using Multiple Linear Regression Model in Abuja, North Central of Nigeria, at Ku-band
32.1 Introduction
32.2 Methodology
32.2.1 Study Area
32.2.2 Data Acquisition
32.3 Results and Discussion
32.4 Conclusion
References
33 High-Performance Federated Learning Techniques for Deep Learning on Medical Dataset
33.1 Introduction
33.1.1 Working of Federated Learning
33.1.2 Types of Federated Learning
33.2 Literature Review
33.3 Proposed Federated Learning with Accelerated Training
33.4 Experimentation
33.5 Evaluation and Results
33.6 Conclusion
References
Correction to: DeTroll-Leveraging Graph Neural Networks with Attention Mechanism to Detect State-Sponsored Trolls
Correction to: Chapter 13 in: J. Choudrie et al. (eds.), ICT for Intelligent Systems, Smart Innovation, Systems and Technologies 403, https://doi.org/10.1007/978-981-97-5799-2_13
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ICT for Intelligent Systems

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