دانلود کتاب Emerging Technologies for Developing Countries: 5th EAI International Conference, AFRICATEK 2022, Bloemfontein, South Africa, December 5-7, 2022, Proceedings

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Preface
Organization
Contents
Education in the 4IR Era
Reinforcement Learning in Education: A Multi-armed Bandit Approach
1 Introduction
1.1 Recommender Systems
1.2 Multi-armed Bandits and Markov Decision Processes
2 Methods
2.1 MAB Student Intervention Recommendation Framework
2.2 Simulation Parameters
2.3 MAB Algorithms
3 Results
4 Discussion
5 Conclusion
References
Assessing Institutional Readiness for the Fourth Industrial Revolution: Using Learning Analytics to Improve Student Experiences
1 Introduction
2 Decision-Making in Higher Education
3 Challenges with Decision-Making
4 Decision-Making Approaches
4.1 Data-Driven Decision-Making
4.2 Decision-Support Systems
4.3 Learning Analytics
5 Theoretical Framework
6 Methodology
6.1 Participants
6.2 Procedure
7 Results and Discussion
7.1 Personal Beliefs and Perspectives
7.2 Institutional Capabilities/Readiness – Systems in Place
8 Conclusion, Limitations and Recommendations
References
M-learning During COVID-19: A Systematic Literature Review
1 Introduction
2 Methodology
2.1 First Stage. Collecting the Relevant Papers
2.2 Second Stage. Screening Using Inclusion and Exclusion Criteria
2.3 Third Stage. Data Extraction
3 Classification Framework
3.1 A Summary of the Selected Papers
3.2 Structuring the Findings
4 Analysis and Discussion of Findings
4.1 Context
4.2 Opportunities (M-learning Resources)
4.3 Opportunities (Related to Students)
4.4 Opportunities (Related to Educators)
4.5 Opportunities (Related to Contents of M-learning)
4.6 Resources Challenges
4.7 Educator Readiness Challenges
4.8 Challenges Facing Students
4.9 Learning Content Challenges
4.10 Origin
5 Research Agenda
5.1 Context
5.2 Opportunities
5.3 Student Challenges
5.4 Educator Readiness
5.5 Learning Content
5.6 Origin
6 Conclusions and Implications of the Study
References
Opportunities for Driving Efficiencies and Effectiveness
Archiving 4.0: Dataset Generation and Facial Recognition of DRC Political Figures Using Machine Learning
1 Introduction
2 Background and Literature
2.1 Face Detection and Face Recognition
2.2 Transfer Learning
2.3 Evaluation Metrics
3 Methodology and Data Acquisition
3.1 Methodology
3.2 Data Collection and Preparation
4 Performance Evaluation
4.1 Face Detection
4.2 Classification
4.3 Discussion of Results
5 Conclusion
References
On the Machine Learning Models to Predict Town-Scale Energy Consumption in Burkina Faso
1 Introduction
2 Related Work
3 Data and Exploratory Analysis
3.1 Dataset
3.2 Exploratory Analysis
4 Modeling Framework
5 Results and Discussion
6 Conclusion
References
Application of Latent Dirichlet Allocation Topic Model in Identifying 4IR Research Trends
1 Introduction
1.1 An Overview of the Fourth Industrial Revolution
1.2 Topic Modeling
1.3 Latent Dirichlet Allocation (LDA)
1.4 Dynamic Topic Models
2 Data and Methods
2.1 Data Sources
2.2 Text Pre-processing
2.3 Bibliometric Analysis
2.4 Analysis of the WoS Text Data Using Topic Models
2.5 Analyze Tccc-Announce Text Using Longer Phrases
3 Results
3.1 LDA Topic Models for WoS
3.2 Fourth Industrial Revolution (4IR) Trends
3.3 Predict Top LDA Topics of Tccc Emails Documents
4 Discussion and Conclusion
4.1 LDA Topic Models for Decision Support
4.2 Further Work
References
A Conceptual Model for the Digital Inclusion of SMMEs in the Informal Sector in South Africa - The Use of Blockchain Technology to Access Loans
1 Introduction
2 Literature Review
2.1 A Brief Overview of the Informal Sector in South Africa
2.2 Challenges in the Informal Sector: Lack of Credit Access
2.3 Blockchain Technology
3 Theoretical Framework
3.1 Supply Side of Digital Inclusion
3.2 Demand Side of Digital Inclusion
4 Conceptual Model
5 Conclusion, Limitations and Contribution of Study
References
Key 4IR Baseline Architectures
Multiple Mobile Robotic Formation Control Based on Differential Flatness
1 Introduction
2 System Description
3 Motion Planning and Control
4 Simulation and Results
5 Conclusion
References
A Comparison of Publish-Subscribe and Client-Server Models for Streaming IoT Telemetry Data
1 Introduction
1.1 WebSocket
1.2 MQTT
2 Related Works
3 Methodology
4 Results
4.1 Throughput
4.2 Round Trip Time (RTT)
4.3 System Load
5 Conclusion and Further Work
References
Fourth Industrial Revolution Research Outputs in Africa: A Bibliometric Review
1 Introduction
2 Material and Methods
3 Results
3.1 The Fourth Industrial Revolution Research Trends in Africa
3.2 VOSviewer Visualization Maps
4 Discussion
4.1 State of Fourth Industrial Revolution Research in Africa
4.2 4IR Trending Technologies and Research Trends in Africa
4.3 Research Gaps and Future Research Directions
5 Conclusion
References
Modelling DDoS Attacks in IoT Networks Using Machine Learning
1 Introduction
2 Literature Review
3 Methodology
3.1 Data Pre-processing and Labelling
3.2 Supervised Learning
3.3 Unsupervised Learning
3.4 Semi-supervised Learning
3.5 Statistical Models
3.6 Prediction
4 Implementation
4.1 Metrics
4.2 Supervised Learning
4.3 Unsupervised Learning
4.4 Semi-supervised Learning
4.5 Statistical Models
4.6 Prediction
5 Conclusion
References
Application of 4IR in Environment and Agriculture Monitoring
Towards a Microservice-Based Middleware for a Multi-hazard Early Warning System
1 Introduction
2 Background
2.1 Microservices and Containers Management
2.2 Container Orchestration
3 Proposed Experimental Framework
3.1 Cluster Setup
3.2 Results
4 Conclusion
References
Indigenous Knowledge Mobile Based Application that Quantifies Farmers’ Season Predictions with the Help of Scientific Knowledge
1 Introduction
2 Literature Review
3 Methodology
3.1 NDVI
3.2 NDWI
3.3 NDMI
3.4 Mobile Application Development
3.5 Season Prediction
3.6 Certainty Level Computation
3.7 Next Season Prediction
3.8 SES Model
3.9 Downscaling of Predictions
4 SES Model Evaluation
5 Conclusion
References
Weed Identification in Plant Seedlings Using Convolutional Neural Networks
1 Introduction
2 Related Works
3 Materials and Methods
3.1 System Architecture
3.2 System Methodology
3.3 Performance Metrics
4 Results and Discussion
4.1 Results
4.2 Comparative Performance Evaluation
4.3 Weed Detection
4.4 Discussion
5 Conclusions
References
Author Index