Electronic Governance with Emerging Technologies : First International Conference, EGETC 2022, Tampico, Mexico, September 12–14, 2022, Revised Selected Papers

This book constitutes selected and revised papers presented at the First International Conference on Electronic Governance with Emerging Technologies, EGETC 2022, held in Tampico, Mexico, in September 2022. The 15 full papers and 2 short papers presented were thoroughly reviewed and selected from the 54 submissions. This volume focuses on the recent developmentsin the domain of eGovernment and governance of digital organizations also aims to shed light on the emerging research trends and their applications. Preface 6 Organization 8 Contents 11 Deep Learning Based Obstructive Sleep Apnea Detection for e-health Applications 13 1 Introduction 13 2 Literature Survey 15 3 Methodology 16 3.1 Dataset 16 3.2 CNN-LSTM 17 3.3 LSTM 17 3.4 Densely Connected LSTM (DC-LSTM) 18 3.5 Experimental Parameters 19 4 Results 20 4.1 Limitations of the Study 22 5 Conclusion 22 References 22 Deep Learning and Sign Language Models Based Enhanced Accessibility of e-governance Services for Speech and Hearing-Impaired 24 1 Introduction 24 2 Related Works 26 3 Dataset Details 28 4 Proposed Model Framework 30 4.1 NMT Transformers 30 4.2 Generative Networks 30 5 Translation Networks 31 5.1 Evaluation Metrics 31 6 Performance Analysis 32 6.1 Evaluation of G2T in PHOENIX 2014T 33 6.2 Evaluation of Models Based on BLEU and ROUGE Score 34 7 Discussions 35 8 Conclusion and Future Directions 35 References 35 A Blockchain Enabled Trusted Public Distribution Management System Using Smart Contract 37 1 Introduction 37 2 Related Works 38 3 Proposed Methodology 39 3.1 System Overview 39 3.2 Registration Phase 41 3.3 Distributed Items Management 41 3.4 Deactivation of User/PDS Account 42 4 Experimental Results 42 4.1 Environment Setup 42 4.2 Smart Contract Deployment 42 4.3 Registration of Entities 43 5 Comparison Analysis of the Proposed System 44 6 Conclusion and Future Work 46 References 46 Administration of Vaccine Mechanism for COVID-19 Using Blockchain 48 1 Introduction 48 2 Literature Survey 49 3 Background Material 50 3.1 Consensus Algorithms 50 3.2 Proof-of Work 51 4 Methodology 51 5 Result and Analysis 54 5.1 Data Collection 54 6 Implementation 55 6.1 Analysis 57 7 Conclusion and Future Work 58 References 58 Cyber Security Strategies While Safeguarding Information Systems in Public/Private Sectors 61 1 Introduction 61 2 Literature Review 63 2.1 Principles of Cyber Security 63 2.2 Impact of COVID-19 on Cyber Security 63 2.3 Impact of COVID-19 on Cyber Security in UAE 65 2.4 Cybersecurity in Other Countries 66 3 Research Methodology 67 3.1 Sample and Population 67 3.2 Research Questions 68 4 Discussion 68 4.1 Analysis 68 4.2 Discussion 70 4.3 Recommendations 72 4.4 Future Directions 73 5 Conclusion 73 References 74 The Spatial Relationships of Meteorological Data for Unmanned Aerial System Decision-Making Support 76 1 Introduction 76 2 Brief Literature Review 77 3 Temperature Variation in Urban Environment Analysis 78 4 The General Architecture of Meteorological Decision-Making Support System 87 5 Conclusion and Future Research 90 References 90 HIAS: Hybrid Intelligence Approach for Soil Classification and Recommendation of Crops 93 1 Introduction 93 2 Related Work 95 3 Proposed Work 96 4 Implementation and Performance Evaluation 99 5 Results and Performance Evaluation 101 6 Conclusions 104 References 105 Education 5.0 Maturity Index: Concept and Prospects for Development 107 1 Introduction 107 2 Industry 5.0, Society 5.0 and Their Impact on Future Education 109 3 Evolution of Education 111 4 The Concept of Education 5.0 112 5 Education 5.0 Maturity Index 115 6 Conclusions 117 References 119 Interpretability of AI Systems in Electronic Governance 121 1 Introduction 121 2 Data Governance for Trusted AI Systems 122 3 Emergent Topics in Interpretable AI Systems 124 4 Conclusion 126 References 126 An Automated Stress Recognition for Digital Healthcare: Towards E-Governance 129 1 Introduction 129 2 Literature Review 131 3 Proposed Methodology 132 3.1 Model Architecture Description 132 3.2 Implementation Details 133 4 Experiments 133 4.1 Dataset 133 4.2 Data Preprocessing 134 4.3 Model Training 134 4.4 Performance Metrics 135 5 Results and Discussions 135 6 Conclusion 136 References 136 Emergency Supply Chain Management 138 1 Logistics Problems Under Emergency 138 2 Literature Review 141 3 Problem Description 142 4 Genetic Algorithm 144 5 Conclusions 151 References 152 Public Budget Simulations with Machine Learning and Synthetic Data: Some Challenges and Lessons from the Mexican Case 153 1 Introduction 153 2 Machine Learning and Public Budgeting 155 2.1 Machine Learning and Public Budgeting Research 155 2.2 The Mexican Public Budget 157 3 Methods 158 3.1 Data Collection 158 3.2 Synthetic Data 158 3.3 Machine Learning Algorithms 160 3.4 Data Pre-processing 161 3.5 Comparison and Simulation 163 4 Findings 163 4.1 Machine Learning Algorithms and Data Analysis 163 4.2 Public Budget Simulations 164 4.3 Public Budget Process 164 4.4 Data Driven Decision-Making 165 5 Conclusions, Limitations, and Future Work 166 A Appendix 167 References 171 Open Data Hackathon as a Tool for Increased Engagement of Generation Z: To Hack or Not to Hack? 173 1 Introduction 173 2 Related Research 175 3 Gen Z Open Data Hackathon 178 3.1 Ideas Developed over 5 Editions 180 3.2 Key Observations Reported by Participants 181 3.3 Key Implications from Hackathons: A Mentor’s Perspective 183 4 Conclusions 184 References 186 Data Visualization Guide for Smart City Technologies 188 1 Introduction 188 2 Data Visualization in Smart City Technologies 190 2.1 Tools to Select Data Visualization Techniques 192 3 Guide to Selecting Data Visualization Techniques 194 4 User Evaluation 198 5 Results 200 5.1 Conclusions 201 References 202 A Machine Learning-Based Mobile Chatbot for Crop Farmers 204 1 Introduction 204 2 Related Works 206 3 Methodology 208 3.1 Study Area Description 208 3.2 Sources of Data and Data Collection Methods 209 3.3 Sampling Procedure and Sample Size 210 3.4 Proposed Mobile Chatbot for Crop Farmers 211 4 Implementation 216 4.1 Intents Definition 216 4.2 The Chatbot Training Method 217 5 Discussion of Results 218 6 Conclusion 219 Appendix 220 References 221 Urban Data: Sources and Targeted Applications for Urban Planning Indicators Modelling 224 1 Introduction 224 2 Research Methodology 226 3 Urban Data Analysis 226 3.1 Urban Sensor Data 227 3.2 Survey Statistical-Based Urban Data (Urban Survey Data) 230 3.3 Urban Data-Sharing Platforms 232 4 Urban Planning Issues According to the Urban Data Source 232 5 Summary and Conclusion 233 References 234 Understanding KlimaDAO Use and Value: Insights from an Empirical Analysis 239 1 Introduction 239 2 Background 240 2.1 Carbon Offset Markets and Blockchains 240 2.2 KlimaDAO 241 2.3 Bridging Offset Assets 242 3 Carbon Assets in KlimaDAO 243 4 KlimaDAO Activity 244 4.1 Carbon Pools 244 4.2 Retirement of Carbon Assets 245 4.3 KLIMA Token, Staking and Bonding 246 5 Conclusions and Outlook 247 References 248 Author Index 250 This book constitutes selected and revised papers presented at the First International Conference on Electronic Governance with Emerging Technologies, EGETC 2022, held in Tampico, Mexico, in September 2022. The 15 full papers and 2 short papers presented were thoroughly reviewed and selected from the 54 submissions. This volume focuses on the recent developments in the domain of eGovernment and governance of digital organizations also aims to shed light on the emerging research trends and their applications.