Sustainable Smart Cities. Theoretical Foundations and Practical Considerations

Description

Preface Contents Social Aspects of Making City Smart A Smart City Analytical Framework in Economics 1 Introduction 2 Literature Review 3 Smart City Analytical Framework 4 Data in Vietnam 5 Conclusion 6 Limitations of the Research and the Next Researches References Smart City—Development Trend in the World and Vietnam 1 Introduction 2 Concepts About the Smart City 3 Smart City Model in the World 4 Smart City Development in Vietnam 5 Conclusion and Implications References Smart City from a Standards Perspective References Point-of-Interests Recommendation Service in Location-Based Social Networks: A Survey, Research Challenges, and Future Perspectives 1 Introduction 2 Literature Review 2.1 Content-Based Recommendation Systems 2.2 Collaborative Recommendation Systems 2.3 Hybrid Recommendation Systems 3 Pros and Cons of Recommendation Algorithms 4 Research Challeges 5 Conclusion References San Marcos Smart City: A Proposal of Framework for Developing ISO 37120:2018-Based Smart City’s Services for Lima 1 Introduction 1.1 Why Smart City for Lima 1.2 Chapter Organization 2 Architecture Proposal 2.1 San Marcos Smart City Architecture 2.2 Physical Layer 2.3 Communication Layer 3 Proposal Implementation 3.1 WIFI Component 3.2 LoRaWAN Component 3.3 Facial Recognition Component 4 Results 4.1 WiFi Component 4.2 LoRAWAN Component 4.3 Facial Recognition Component 5 Summary and Future Directions 6 Conclusions References Social and Technical Challenges in Eco-Sustainable Smart City in India—An Analysis 1 Introduction 2 A Smart City Model and Its Components 3 Role of ICT in the Development of Smart City 3.1 Smart Neighbourhood 3.2 Smartivists 3.3 Smart Community 4 Infrastructure and Transport 5 Smart Agriculture 6 Smart Healthcare 7 Smart Energy Management 8 Smart Resource Management, Governance, Waste Management 9 Education, Training and Security 10 Smart City Challenges in India 10.1 Mission Smart Cities 10.2 Implementation 10.3 Challenges and Issues 11 Conclusion References 5G and Other Networking Technologies for Smart Cities A Framework for Designing Long Term Digital Preservation System 1 Introduction 2 General Assumption About Document Retention and Preservation by Organization 3 Literature Survey 4 Methodology for Digital Data Preservation System (DPS) 4.1 Existing System Study Analysis and Design 4.2 Examples of Various Categories of Operating Organizations in India 4.3 Questionnaire Prepared for Survey in Assistance of Carrying out Face to Face Interview Sessions with Various Organizational Stakeholders 4.4 Select the Organization Needs 5 The Open Archival Information System Reference Model (OAIS) 6 Digital Repository Development 7 Conclusion and Future Scope References Towards Sustainable Smart Cities: The Use of the ViaPPS as Road Monitoring System 1 Introduction 2 Sensing Technologies in On-Road Object Inventory 3 Case Study: The ViaPPS 3.1 System Design 3.2 Road Inspection—Data Acquisition 3.3 Data Handling 3.4 Features Extraction and Image Anonymization 3.5 Reports and Data Management Systems 4 Discussion 5 Conclusion References Optimal Resource Allocation for Public Safety Device to Device Communication Using PSO 1 Introduction 2 Literature Survey 3 Methodology 3.1 Particle Swarm Optimization (PSO) 3.2 Resource Allocation Using PSO 3.3 Weighted Average Throughput and Penalty for Resource Constrained Settings 3.4 Implementation Details 4 Results and Analysis 5 Conclusion and Future Work References Research Progress in Internet of Things (IoT) Application in Smart Cities Development: A Bibliometric Analysis 1 Introduction 2 Methodology 3 Results and Discussion 3.1 Document Types and Language of Publication 3.2 Annual Growth of Publications on IoT Application in Smart Cities 3.3 Most Productive SCOPUS Subject Categories and Journals 3.4 Most Productive Countries 3.5 Highly Productive Institutions in IoT Application in Smart Cities 3.6 Highly Cited and Impactful Articles Related to the IoT Application in Smart Cities Development 3.7 Author Keyword Analysis and Research Hotspot 3.8 Application of Bibliometric Studies in Assessing the Future Research in IoT 4 Conclusion References Neural Network Based Task Scheduling in Cloud Using Harmony Search Algorithm 1 Introduction 2 Related Work 2.1 A. Framework that is Used to Optimize Task Scheduling in the Cloud Environment [1] 2.2 B. Harmony Search Algorithm: Strengths and Weaknesses [2] 2.3 C. Particle Swarm Optimization: Development, Applications, and Resources [3] 2.4 D. NN-Based Secure Task Scheduling in Computational Clouds [4] 2.5 E. Ant Colony Optimization [5] 2.6 An Idea Based on Honey Bee Swarm for Numerical Optimization [6] 2.7 Job Scheduling for Cloud Computing Using Neural Networks [7] 3 Proposed Model 3.1 Phases of Harmony Search Algorithm 3.2 Flow Diagram of the Harmony Search Algorithm 3.3 Input Definitions 4 Simulation Result 5 Conclusion References Neural Inspired Ant Lion Algorithm for Resource Optimization in Cloud 1 Introduction 2 Related Work 3 Proposed Model 4 Results 5 Conclusion References Data Science and Business Analytics, IoT, AI and ML for Smart Cities Smart School Selection with Supervised Machine Learning 1 Introduction and Related Work 1.1 Dataset Description 2 Preprocessing 3 Experiments and Results 3.1 Experiment-I 3.2 Experiment-II 4 Model Evaluation 5 Conclusion References Artificially Intelligent and Sustainable Smart Cities 1 Introduction 2 Literature Review 3 Background Study 3.1 Internet of Things (IoT) 3.2 Artificial Intelligence (AI) 3.3 Augmented Reality (AR) 3.4 Drones 3.5 Cloud Computing 3.6 Big Data 4 Different Portfolios of Smart Cities 4.1 Smart Traffic Solution 4.2 Smart Fire Brigades 4.3 Smart Policy Making and Planning 4.4 Smart Farming 4.5 Smart Electricity Grids 4.6 Smart Parking Solutions 4.7 Smart Security Management (Law Enforcement) 4.8 Smart Waste Management 4.9 Smart Pollution Control 4.10 Smart Self-Sustainable Public Toilets 4.11 Smart Healthcare Facilities 5 Self-Building AI Model 6 An Ideal Smart City 6.1 α-Command 6.2 β-Command 6.3 γ-Command 7 Major Drawbacks 8 Conclusion and Future Scope References Machine Learning Self-Tuning Motivation Engine for Telemarketers 1 Introduction 2 State of the Art 3 Motivation and Serious Games 4 A New Perspective: MOTIVARNOS 5 Architecture and Basic Concepts 5.1 Loading of the Raw Data 5.2 Structure of the Data 5.3 Data Pre-processing 5.4 Exploratory Data Analysis 5.5 Telemarketer Profile 6 Conclusions and Future Work References QROWD—A Platform for Integrating Citizens in Smart City Data Analytics 1 Introduction 2 Related Work 2.1 IOT for Smart Cities 2.2 Mobile Crowdsensing and Crowdsourcing 3 The QROWD Platform and Architecture 4 Crowdsourcing Services 4.1 Design Guidelines for Human Tasks 4.2 Crowdsourcing Service Implementation Framework 5 Data Acquisition and Generation 5.1 Pre-existing Data Sources 5.2 Data from Citizens Devices 5.3 Citizen Challenges 5.4 Annotations from Street-Level Imagery 6 Data Models and Storage 6.1 Data Models 6.2 Big Data Storage 7 Data Integration 8 Use Cases 8.1 Generating and Managing Mobility Infrastructure Data 8.2 Modal Split Surveys 9 Summary and Conclusion References Estimation of Short-Time Forecast for Covid-19 Outbreak in India: State-Wise Prediction and Analysis 1 Introduction 2 Related Work 3 Theoretical Background 4 Data Pre-processing 4.1 Population 4.2 Weather 5 Result Analysis 5.1 Time-Series Plots 6 Results 6.1 Short Term Predictions and Their Analysis 6.2 Kalman X-days Prediction Discussion for Indian Subcontinents 6.3 Comparative Analysis of Different Nations 7 Conclusion References