Sustainable Smart Cities : Theoretical Foundations and Practical Considerations / edited by Pradeep Kumar Singh, Marcin Paprzycki, Mohamad Essaaidi, Shahram Rahimi.

Format:

Book

Contributor:

Singh, Pradeep Kumar, editor.

Series:

Studies in Computational Intelligence, 1860-9503 ; 942

Language:

English

Subjects (All):

Computational intelligence.

Transportation engineering.

Traffic engineering.

Computational Intelligence.

Transportation Technology and Traffic Engineering.

Local Subjects:

Computational Intelligence.

Transportation Technology and Traffic Engineering.

Physical Description:

1 online resource (342 pages)

Edition:

1st ed. 2023.

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2023.

Summary:

This book brings the recent collection of smart technologies. Smart cities challenges and key requirements are discussed through the technological solutions, IoT, cloud computing, block chain and artificial intelligence. Firstly, the key technologies contributing to the smart cities research are identified. Then, the most popular ones are covered in context to their theoretical and practical applications. Smart cities technologies are one of the recent research areas. Every day new technological solutions are coming to make smart cities more sustainable. The book explores the integration of main key technologies for smart cities which are IoT & cloud computing, data science, AI and block chain & Industry 4.0. Moreover, some integrated solutions using AI, data science and IoT will attract the attention of end users. Primary market of the book is aimed toward the undergraduate and master students. IoT, cloud computing, artificial intelligence and block chain are elective courses at the bachelor level in the engineering domain, and its application areas in context to smart cities are covered in this book. The book is a good source of reference for their master dissertations. Ph.D. students or scholars who are working on these key technologies like IoT & cloud, AI, data science, block chain & Industry 4.0 will find this book as a constant source of reference for their ongoing research. Smart city planners, architects and municipal experts may also find this book useful.

Contents:

Intro

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

2 Concepts About the Smart City

3 Smart City Model in the World

4 Smart City Development in Vietnam

5 Conclusion and Implications

Smart City from a Standards Perspective

Point-of-Interests Recommendation Service in Location-Based Social Networks: A Survey, Research Challenges, and Future Perspectives

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

San Marcos Smart City: A Proposal of Framework for Developing ISO 37120:2018-Based Smart City's Services for Lima

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

Social and Technical Challenges in Eco-Sustainable Smart City in India-An Analysis

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

5G and Other Networking Technologies for Smart Cities

A Framework for Designing Long Term Digital Preservation System

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

Towards Sustainable Smart Cities: The Use of the ViaPPS as Road Monitoring System

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

Optimal Resource Allocation for Public Safety Device to Device Communication Using PSO

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

Research Progress in Internet of Things (IoT) Application in Smart Cities Development: A Bibliometric Analysis

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

Neural Network Based Task Scheduling in Cloud Using Harmony Search Algorithm

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

Neural Inspired Ant Lion Algorithm for Resource Optimization in Cloud

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

Artificially Intelligent and Sustainable Smart Cities

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

Machine Learning Self-Tuning Motivation Engine for Telemarketers

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

QROWD-A Platform for Integrating Citizens in Smart City Data Analytics

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

Estimation of Short-Time Forecast for Covid-19 Outbreak in India: State-Wise Prediction and Analysis

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.

Notes:

Description based on publisher supplied metadata and other sources.

Other Format:

Print version: Singh, Pradeep Kumar Sustainable Smart Cities

ISBN:

3-031-08815-8

OCLC:

1350687536