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

Description

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 Organization Contents Deep Learning Based Obstructive Sleep Apnea Detection for e-health Applications 1 Introduction 2 Literature Survey 3 Methodology 3.1 Dataset 3.2 CNN-LSTM 3.3 LSTM 3.4 Densely Connected LSTM (DC-LSTM) 3.5 Experimental Parameters 4 Results 4.1 Limitations of the Study 5 Conclusion References Deep Learning and Sign Language Models Based Enhanced Accessibility of e-governance Services for Speech and Hearing-Impaired 1 Introduction 2 Related Works 3 Dataset Details 4 Proposed Model Framework 4.1 NMT Transformers 4.2 Generative Networks 5 Translation Networks 5.1 Evaluation Metrics 6 Performance Analysis 6.1 Evaluation of G2T in PHOENIX 2014T 6.2 Evaluation of Models Based on BLEU and ROUGE Score 7 Discussions 8 Conclusion and Future Directions References A Blockchain Enabled Trusted Public Distribution Management System Using Smart Contract 1 Introduction 2 Related Works 3 Proposed Methodology 3.1 System Overview 3.2 Registration Phase 3.3 Distributed Items Management 3.4 Deactivation of User/PDS Account 4 Experimental Results 4.1 Environment Setup 4.2 Smart Contract Deployment 4.3 Registration of Entities 5 Comparison Analysis of the Proposed System 6 Conclusion and Future Work References Administration of Vaccine Mechanism for COVID-19 Using Blockchain 1 Introduction 2 Literature Survey 3 Background Material 3.1 Consensus Algorithms 3.2 Proof-of Work 4 Methodology 5 Result and Analysis 5.1 Data Collection 6 Implementation 6.1 Analysis 7 Conclusion and Future Work References Cyber Security Strategies While Safeguarding Information Systems in Public/Private Sectors 1 Introduction 2 Literature Review 2.1 Principles of Cyber Security 2.2 Impact of COVID-19 on Cyber Security 2.3 Impact of COVID-19 on Cyber Security in UAE 2.4 Cybersecurity in Other Countries 3 Research Methodology 3.1 Sample and Population 3.2 Research Questions 4 Discussion 4.1 Analysis 4.2 Discussion 4.3 Recommendations 4.4 Future Directions 5 Conclusion References The Spatial Relationships of Meteorological Data for Unmanned Aerial System Decision-Making Support 1 Introduction 2 Brief Literature Review 3 Temperature Variation in Urban Environment Analysis 4 The General Architecture of Meteorological Decision-Making Support System 5 Conclusion and Future Research References HIAS: Hybrid Intelligence Approach for Soil Classification and Recommendation of Crops 1 Introduction 2 Related Work 3 Proposed Work 4 Implementation and Performance Evaluation 5 Results and Performance Evaluation 6 Conclusions References Education 5.0 Maturity Index: Concept and Prospects for Development 1 Introduction 2 Industry 5.0, Society 5.0 and Their Impact on Future Education 3 Evolution of Education 4 The Concept of Education 5.0 5 Education 5.0 Maturity Index 6 Conclusions References Interpretability of AI Systems in Electronic Governance 1 Introduction 2 Data Governance for Trusted AI Systems 3 Emergent Topics in Interpretable AI Systems 4 Conclusion References An Automated Stress Recognition for Digital Healthcare: Towards E-Governance 1 Introduction 2 Literature Review 3 Proposed Methodology 3.1 Model Architecture Description 3.2 Implementation Details 4 Experiments 4.1 Dataset 4.2 Data Preprocessing 4.3 Model Training 4.4 Performance Metrics 5 Results and Discussions 6 Conclusion References Emergency Supply Chain Management 1 Logistics Problems Under Emergency 2 Literature Review 3 Problem Description 4 Genetic Algorithm 5 Conclusions References Public Budget Simulations with Machine Learning and Synthetic Data: Some Challenges and Lessons from the Mexican Case 1 Introduction 2 Machine Learning and Public Budgeting 2.1 Machine Learning and Public Budgeting Research 2.2 The Mexican Public Budget 3 Methods 3.1 Data Collection 3.2 Synthetic Data 3.3 Machine Learning Algorithms 3.4 Data Pre-processing 3.5 Comparison and Simulation 4 Findings 4.1 Machine Learning Algorithms and Data Analysis 4.2 Public Budget Simulations 4.3 Public Budget Process 4.4 Data Driven Decision-Making 5 Conclusions, Limitations, and Future Work A Appendix References Open Data Hackathon as a Tool for Increased Engagement of Generation Z: To Hack or Not to Hack? 1 Introduction 2 Related Research 3 Gen Z Open Data Hackathon 3.1 Ideas Developed over 5 Editions 3.2 Key Observations Reported by Participants 3.3 Key Implications from Hackathons: A Mentor’s Perspective 4 Conclusions References Data Visualization Guide for Smart City Technologies 1 Introduction 2 Data Visualization in Smart City Technologies 2.1 Tools to Select Data Visualization Techniques 3 Guide to Selecting Data Visualization Techniques 4 User Evaluation 5 Results 5.1 Conclusions References A Machine Learning-Based Mobile Chatbot for Crop Farmers 1 Introduction 2 Related Works 3 Methodology 3.1 Study Area Description 3.2 Sources of Data and Data Collection Methods 3.3 Sampling Procedure and Sample Size 3.4 Proposed Mobile Chatbot for Crop Farmers 4 Implementation 4.1 Intents Definition 4.2 The Chatbot Training Method 5 Discussion of Results 6 Conclusion Appendix References Urban Data: Sources and Targeted Applications for Urban Planning Indicators Modelling 1 Introduction 2 Research Methodology 3 Urban Data Analysis 3.1 Urban Sensor Data 3.2 Survey Statistical-Based Urban Data (Urban Survey Data) 3.3 Urban Data-Sharing Platforms 4 Urban Planning Issues According to the Urban Data Source 5 Summary and Conclusion References Understanding KlimaDAO Use and Value: Insights from an Empirical Analysis 1 Introduction 2 Background 2.1 Carbon Offset Markets and Blockchains 2.2 KlimaDAO 2.3 Bridging Offset Assets 3 Carbon Assets in KlimaDAO 4 KlimaDAO Activity 4.1 Carbon Pools 4.2 Retirement of Carbon Assets 4.3 KLIMA Token, Staking and Bonding 5 Conclusions and Outlook References Author Index