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Submit a ProposalDecision Support Systems for Smart City Applications
 | Edited by Loveleen Gaur, Vernika Agarwal and Prasenjit Chatterjee
Series: Sustainable Computing and Optimization Copyright: 2023 | Status: Published ISBN: 9781119896432 | Hardcover | 254 pages | 57 illustrations Price: $195 USD  |
One Line Description
This book provides smart city frameworks to address new difficulties by adding new features and allowing the city environment to react to collected data and
information to increase the efficiency and sustainability of services for inhabitants.
Audience
This book is aimed at both academics and practitioners alike in the fields of intelligent computing, decision support systems, the manufacturing industry, supply chain managers, stakeholders, policymakers, and other technical and administrative personnel.
This book is aimed at both academics and practitioners alike in the fields of intelligent computing, decision support systems, the manufacturing industry, supply chain managers, stakeholders, policymakers, and other technical and administrative personnel.
Description
Making a smart city is an emerging strategy to mitigate the problems generated by urban population growth and rapid urbanization. This book aims to provide a better understanding of the concept of smart cities and the application of an intelligent decision support system. Based on the analysis of existing information there are eight critical factors of smart city initiatives: management and organization, technology, governance, policy context, people and communities, economy, built infrastructure, and natural environment. This book will focus on the application of the decision support system in managing these eight crucial aspects of smart cities.
The intent in writing this book was also to provide a source that covers the stage-by-stage integration of the four key areas involving planning, physical infrastructure, ICT infrastructure, and deploying the smart solutions necessary for city transformation. With this as the motivation, Decision Support Systems for Smart City Applications provides the application of an intelligent decision support system for effectively and efficiently managing the transformation process, which can aid various supply chain stakeholders, academic researchers, and related professionals in building smart cities. Various chapters of this book are expected to support practicing managers during the implementation of smart solutions for city transformation.
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Making a smart city is an emerging strategy to mitigate the problems generated by urban population growth and rapid urbanization. This book aims to provide a better understanding of the concept of smart cities and the application of an intelligent decision support system. Based on the analysis of existing information there are eight critical factors of smart city initiatives: management and organization, technology, governance, policy context, people and communities, economy, built infrastructure, and natural environment. This book will focus on the application of the decision support system in managing these eight crucial aspects of smart cities.
The intent in writing this book was also to provide a source that covers the stage-by-stage integration of the four key areas involving planning, physical infrastructure, ICT infrastructure, and deploying the smart solutions necessary for city transformation. With this as the motivation, Decision Support Systems for Smart City Applications provides the application of an intelligent decision support system for effectively and efficiently managing the transformation process, which can aid various supply chain stakeholders, academic researchers, and related professionals in building smart cities. Various chapters of this book are expected to support practicing managers during the implementation of smart solutions for city transformation.
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Author / Editor Details
Loveleen Gaur, PhD, is a full professor at Amity International Business School, Amity University, Noida is an established researcher and has filed many patents and copyrights in the area of AI/ML/IoT. She has been honored with prestigious national and international awards such as the “Senior Women Educator & Scholar Award” by National Foundation for Entrepreneurship Development on Women’s Day, “Sri Ram Award” by Delhi Management Association (DMA), and “Distinguished Research Award” by Allied Academies, Jacksonville, Florida.
Loveleen Gaur, PhD, is a full professor at Amity International Business School, Amity University, Noida is an established researcher and has filed many patents and copyrights in the area of AI/ML/IoT. She has been honored with prestigious national and international awards such as the “Senior Women Educator & Scholar Award” by National Foundation for Entrepreneurship Development on Women’s Day, “Sri Ram Award” by Delhi Management Association (DMA), and “Distinguished Research Award” by Allied Academies, Jacksonville, Florida.
Vernika Agarwal, PhD, is an assistant professor (operations research) at Amity International Business School, Amity University, Noida. She has published extensively in international journals.
Prasenjit Chatterjee, PhD, is the Dean (Research and Consultancy) at MCKV Institute of Engineering, West Bengal, India. He has over 120 research papers in various international journals and peer-reviewed conferences. He has authored and edited more than 15 books on intelligent decision-making, supply chain management, optimization techniques, risk, and sustainability modeling. He has received numerous awards including Best Track Paper Award, Outstanding Reviewer Award, Best Paper Award, Outstanding Researcher Award, and University Gold Medal. Dr. Chatterjee is the Editor-in-Chief of the Journal of Decision Analytics and Intelligent Computing.
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Table of Contents
Preface
Acknowledgement
1. Techno Agri for New Cities by Smart Irrigation
Rohit Rastogi, Sunil Kumar Prajapati, Shiv Kumar and Satyam Verma
1.1 Introduction
1.2 Literature Review
1.3 Components Used
1.4 Proposed System
1.5 Android Mobile Application for Smart Irrigation
1.5.1 Main Page
1.5.2 Snapshot of Working Model (ICs and Working Model)
1.6 Novelty
1.7 Future Research Work
1.8 Limitations
1.9 Conclusions
References
2. A Case Study of Command-and-Control Center— A DSS Perspective
Prakash B.R. and Dattasmita H.V.
2.1 Introduction
2.1.1 Smart City
2.1.1.1 Characteristics of a Decision Support System
2.1.2 The Critical System
2.1.2.1 Safety Critical System
2.2 Command and Control Center—A Critical System
2.3 Conclusion
References
3. Inverse Tree Interleavers in UAV Communications for Interference Mitigation
Manish Yadav, Prateek Raj Gautam and Pramod Kumar Singhal
3.1 Introduction
3.2 Background
3.3 The Problem
3.4 Motivation
3.5 Interference Mitigation Using ITI
3.6 Interleavers for Interference Mitigation in UAV Communications
3.7 Inverse Tree Interleavers in UAV Communications
3.8 Decision Support System (DSS) in ITI Allocation
3.9 ITI-Based Clustered Interleaving and DSS for Smart City Framework
3.10 Conclusion
References
4. Introduction to DSS System for Smart Cities
Kuldeep Singh Kaswan, Ravinder Gautam and Jagjit Singh Dhatterwal
4.1 Introduction
4.2 Smart City System Architecture
4.2.1 Sensing Plane
4.2.2 Communication Plane
4.2.3 Data Plane
4.2.4 Security Plane
4.3 Types of Network Sensors
4.3.1 Electronic Sensors
4.3.2 Chemical Sensors
4.3.3 Biosensors
4.3.4 Smart Grid Sensors
4.4 Role of Sensors in Smart Cities
4.4.1 Safety and Security Management
4.4.2 Service Delivery and Optimization
4.4.3 Traffic Control and Parking
4.4.4 Smart Building
4.4.5 Public Transport
4.4.6 Environment
4.4.7 Ethical Implications
4.5 Implications of Smart Sensors
4.6 Decision Modeling
4.7 Decision Support Systems (DSS)
4.7.1 Decision Support System Components
4.7.2 DSS Merits and Demerits
4.8 Chandigarh: Becoming a Smart City
4.8.1 Chandigarh City’s SWOT Analysis
4.8.2 Challenges to Become the Smart City for Chandigarh
4.9 A Topology of Smart City Functions
4.9.1 Smart Economy (Competitiveness)
4.9.2 Smart People (Social and Human Capital)
4.9.3 Smart Governance (Participation)
4.9.4 Smart Mobility (Transport and ICT)
4.9.5 Smart Environment (Natural Resources)
4.9.6 Smart Living (Quality of Life)
4.10 Challenges for India’s Smart Cities
4.11 The Government Should Focus on the Following Main Areas for the Country’s Creation of Smart Cities
4.12 Conclusion
References
5. Evaluating Solutions to Overcome Blockchain Technology Implementation in Smart City Using a Hybrid Fuzzy SWARA-Fuzzy WASPAS Approach
Shivam Goyal, Vernika Agarwal and Sanskriti Goel
5.1 Introduction
5.2 Research Methodology
5.2.1 Stepwise Weight Assessment Ratio Analysis (SWARA) Method
5.2.2 Weighted Aggregated Sum Product Assessment (WASPAS) Method
5.3 Research Design
5.4 Application of Proposed Methodology
5.5 Conclusion
References
6. Identification and Analysis of Challenges and Their Solution in Implementation of Decision Support System (DSS) in Smart Cities
Shreya Gupta, Shubhanshi Mittal and Vernika Agarwal
6.1 Introduction
6.2 Review of Literature
6.3 Research Methodology
6.3.1 Identification of Challengers and Their Solution
6.3.2 Fuzzy TOPSIS Methodology
6.4 Case Background
6.5 Case Description
6.6 Result Discussion
6.7 Conclusion
References
7. Evaluation of Criteria for Implementation of Capabilities in a Smart City’s Service Supply Chain: A Teacher Trainer’s Perspective
Vasundhara Kaul and Arshia Kaul
7.1 Introduction
7.2 Literature Review
7.2.1 Service Supply Chain
7.2.2 Education as a Service Supply Chain
7.2.3 Evaluation of Educational Supply Chain
7.2.4 Research Gap and Motivation
7.3 Objectives
7.4 Problem Definition
7.5 Numerical Illustration
7.6 Conclusion
References
8. Industry 5.0: Coexistence of Humans and Machines
Sandesh Kumar Srivastava, Pallavi Goel, Anisha and Savita Sindhu
8.1 Introduction
8.1.1 Industrial Revolutions
8.2 Literature Review
8.2.1 Industry 4.0 Characterization
8.2.2 Definition of Digitalization
8.3 Requirement of Fifth Industrial Revolution
8.4 Journey of Industry 4.0 to Industry 5.0
8.4.1 Industry 4.0
8.4.2 Industry 5.0
8.5 Industrial Revolution: Changes and Advancements
8.5.1 Big Data
8.5.2 Changes the Fifth Industry Revolution Might Bring
8.5.3 Working with Robots
8.5.4 Impact of Fifth Industrial Revolution on Education
8.5.5 Problems which the Fifth Industry Revolution Might Generate
8.5.6 What Might Help to Solve the Problems
8.5.7 The Role of Ethics in Industry 5.0
8.6 Conclusion
References
9. Smart Child Safety Framework Using Internet of Things
Afzal Hussain, Anisha, Pallavi Murghai Goel and Sudeshna Chakraborty
9.1 Introduction
9.1.1 Literature Background
9.2 Technology and Sensors Used
9.2.1 Proposed System Model and Working
9.2.2 Implementation Phases
9.3 Advantages
9.4 Conclusion
9.5 Future Scope
References
10. Water Content Prediction in Smart Agriculture of Rural India Using CNN and Transfer Learning Approach
Rohit Prasan Mandal, Deepanshu Dutta, Saranya Bhattacharjee and Subhalaxmi Chakraborty
10.1 Introduction
10.2 Proposed Method
10.2.1 Corpus Creation
10.2.2 Data Pre-Processing
10.2.3 Data Augmentation
10.2.4 CNN
10.2.5 Transfer Learning Algorithms
10.2.5.1 VGG-16
10.2.5.2 VGG-19
10.2.5.3 Inception v3
10.2.5.4 Xception
10.2.5.5 ResNet50
10.3 Results and Discussion
10.3.1 Comparison of Classifiers
10.4 Conclusion
References
11. Cognitiveness of 5G Technology Toward Sustainable Development of Smart Cities
Kumari Priyanka, Gnapika Mallavaram, Archit Raj, Devasis Pradhan and Rajeswari
11.1 Introduction
11.2 Literature Review
11.3 5G: Overview
11.4 Smart Cities
11.5 Cognitiveness of 5G Network
11.5.1 Advancement of Society
11.5.2 Industry Transformation
11.5.3 Amalgam of Education and Entertainment
11.6 Key Features for 5G Toward Sustainable Development of Smart Cities
11.7 Application Enabled by 5G
11.8 Sustainable 5G-Green Network
11.9 Electricity Harvesting for Smart Cities
11.10 Economic Impact of 5G Toward Sustainable Smart Cities
11.11 5G Challenges
11.12 Conclusion
References
12. Society 5.0 and Authenticity: Looking to the Future
F.-E. Ouboutaib, A. Aitheda and S. Mekkaoui
12.1 Introduction
12.2 Theoretical Framework
12.2.1 A Brief History of Industry 4.0
12.2.2 Marketing Authenticity in the Society 5.0 Era: Beyond Industry 4.0
12.3 Research Design and Methodology
12.4 Results
12.4.1 Measurement Model
12.5 Conclusion
References
Appendix
13. IoT-Based Smart City Applications: Infrastructure, Research and Development
Tarush Gupta, Princy Randhawa and Nikhil Vivek Shrivas
13.1 Introduction
13.2 Different Phases of Development
13.2.1 Investments, Research, and Planning
13.2.2 Execution and Deployment
13.2.3 Globalization of IoT-Based Technologies
13.2.4 Pilot Projects and City Designs
13.3 Current Scenario
13.3.1 Achievements and Milestones
13.3.2 IoT in Smart Cities
13.4 Conclusion and Future Work
References
Index
Back to Top
Preface
Acknowledgement
1. Techno Agri for New Cities by Smart Irrigation
Rohit Rastogi, Sunil Kumar Prajapati, Shiv Kumar and Satyam Verma
1.1 Introduction
1.2 Literature Review
1.3 Components Used
1.4 Proposed System
1.5 Android Mobile Application for Smart Irrigation
1.5.1 Main Page
1.5.2 Snapshot of Working Model (ICs and Working Model)
1.6 Novelty
1.7 Future Research Work
1.8 Limitations
1.9 Conclusions
References
2. A Case Study of Command-and-Control Center— A DSS Perspective
Prakash B.R. and Dattasmita H.V.
2.1 Introduction
2.1.1 Smart City
2.1.1.1 Characteristics of a Decision Support System
2.1.2 The Critical System
2.1.2.1 Safety Critical System
2.2 Command and Control Center—A Critical System
2.3 Conclusion
References
3. Inverse Tree Interleavers in UAV Communications for Interference Mitigation
Manish Yadav, Prateek Raj Gautam and Pramod Kumar Singhal
3.1 Introduction
3.2 Background
3.3 The Problem
3.4 Motivation
3.5 Interference Mitigation Using ITI
3.6 Interleavers for Interference Mitigation in UAV Communications
3.7 Inverse Tree Interleavers in UAV Communications
3.8 Decision Support System (DSS) in ITI Allocation
3.9 ITI-Based Clustered Interleaving and DSS for Smart City Framework
3.10 Conclusion
References
4. Introduction to DSS System for Smart Cities
Kuldeep Singh Kaswan, Ravinder Gautam and Jagjit Singh Dhatterwal
4.1 Introduction
4.2 Smart City System Architecture
4.2.1 Sensing Plane
4.2.2 Communication Plane
4.2.3 Data Plane
4.2.4 Security Plane
4.3 Types of Network Sensors
4.3.1 Electronic Sensors
4.3.2 Chemical Sensors
4.3.3 Biosensors
4.3.4 Smart Grid Sensors
4.4 Role of Sensors in Smart Cities
4.4.1 Safety and Security Management
4.4.2 Service Delivery and Optimization
4.4.3 Traffic Control and Parking
4.4.4 Smart Building
4.4.5 Public Transport
4.4.6 Environment
4.4.7 Ethical Implications
4.5 Implications of Smart Sensors
4.6 Decision Modeling
4.7 Decision Support Systems (DSS)
4.7.1 Decision Support System Components
4.7.2 DSS Merits and Demerits
4.8 Chandigarh: Becoming a Smart City
4.8.1 Chandigarh City’s SWOT Analysis
4.8.2 Challenges to Become the Smart City for Chandigarh
4.9 A Topology of Smart City Functions
4.9.1 Smart Economy (Competitiveness)
4.9.2 Smart People (Social and Human Capital)
4.9.3 Smart Governance (Participation)
4.9.4 Smart Mobility (Transport and ICT)
4.9.5 Smart Environment (Natural Resources)
4.9.6 Smart Living (Quality of Life)
4.10 Challenges for India’s Smart Cities
4.11 The Government Should Focus on the Following Main Areas for the Country’s Creation of Smart Cities
4.12 Conclusion
References
5. Evaluating Solutions to Overcome Blockchain Technology Implementation in Smart City Using a Hybrid Fuzzy SWARA-Fuzzy WASPAS Approach
Shivam Goyal, Vernika Agarwal and Sanskriti Goel
5.1 Introduction
5.2 Research Methodology
5.2.1 Stepwise Weight Assessment Ratio Analysis (SWARA) Method
5.2.2 Weighted Aggregated Sum Product Assessment (WASPAS) Method
5.3 Research Design
5.4 Application of Proposed Methodology
5.5 Conclusion
References
6. Identification and Analysis of Challenges and Their Solution in Implementation of Decision Support System (DSS) in Smart Cities
Shreya Gupta, Shubhanshi Mittal and Vernika Agarwal
6.1 Introduction
6.2 Review of Literature
6.3 Research Methodology
6.3.1 Identification of Challengers and Their Solution
6.3.2 Fuzzy TOPSIS Methodology
6.4 Case Background
6.5 Case Description
6.6 Result Discussion
6.7 Conclusion
References
7. Evaluation of Criteria for Implementation of Capabilities in a Smart City’s Service Supply Chain: A Teacher Trainer’s Perspective
Vasundhara Kaul and Arshia Kaul
7.1 Introduction
7.2 Literature Review
7.2.1 Service Supply Chain
7.2.2 Education as a Service Supply Chain
7.2.3 Evaluation of Educational Supply Chain
7.2.4 Research Gap and Motivation
7.3 Objectives
7.4 Problem Definition
7.5 Numerical Illustration
7.6 Conclusion
References
8. Industry 5.0: Coexistence of Humans and Machines
Sandesh Kumar Srivastava, Pallavi Goel, Anisha and Savita Sindhu
8.1 Introduction
8.1.1 Industrial Revolutions
8.2 Literature Review
8.2.1 Industry 4.0 Characterization
8.2.2 Definition of Digitalization
8.3 Requirement of Fifth Industrial Revolution
8.4 Journey of Industry 4.0 to Industry 5.0
8.4.1 Industry 4.0
8.4.2 Industry 5.0
8.5 Industrial Revolution: Changes and Advancements
8.5.1 Big Data
8.5.2 Changes the Fifth Industry Revolution Might Bring
8.5.3 Working with Robots
8.5.4 Impact of Fifth Industrial Revolution on Education
8.5.5 Problems which the Fifth Industry Revolution Might Generate
8.5.6 What Might Help to Solve the Problems
8.5.7 The Role of Ethics in Industry 5.0
8.6 Conclusion
References
9. Smart Child Safety Framework Using Internet of Things
Afzal Hussain, Anisha, Pallavi Murghai Goel and Sudeshna Chakraborty
9.1 Introduction
9.1.1 Literature Background
9.2 Technology and Sensors Used
9.2.1 Proposed System Model and Working
9.2.2 Implementation Phases
9.3 Advantages
9.4 Conclusion
9.5 Future Scope
References
10. Water Content Prediction in Smart Agriculture of Rural India Using CNN and Transfer Learning Approach
Rohit Prasan Mandal, Deepanshu Dutta, Saranya Bhattacharjee and Subhalaxmi Chakraborty
10.1 Introduction
10.2 Proposed Method
10.2.1 Corpus Creation
10.2.2 Data Pre-Processing
10.2.3 Data Augmentation
10.2.4 CNN
10.2.5 Transfer Learning Algorithms
10.2.5.1 VGG-16
10.2.5.2 VGG-19
10.2.5.3 Inception v3
10.2.5.4 Xception
10.2.5.5 ResNet50
10.3 Results and Discussion
10.3.1 Comparison of Classifiers
10.4 Conclusion
References
11. Cognitiveness of 5G Technology Toward Sustainable Development of Smart Cities
Kumari Priyanka, Gnapika Mallavaram, Archit Raj, Devasis Pradhan and Rajeswari
11.1 Introduction
11.2 Literature Review
11.3 5G: Overview
11.4 Smart Cities
11.5 Cognitiveness of 5G Network
11.5.1 Advancement of Society
11.5.2 Industry Transformation
11.5.3 Amalgam of Education and Entertainment
11.6 Key Features for 5G Toward Sustainable Development of Smart Cities
11.7 Application Enabled by 5G
11.8 Sustainable 5G-Green Network
11.9 Electricity Harvesting for Smart Cities
11.10 Economic Impact of 5G Toward Sustainable Smart Cities
11.11 5G Challenges
11.12 Conclusion
References
12. Society 5.0 and Authenticity: Looking to the Future
F.-E. Ouboutaib, A. Aitheda and S. Mekkaoui
12.1 Introduction
12.2 Theoretical Framework
12.2.1 A Brief History of Industry 4.0
12.2.2 Marketing Authenticity in the Society 5.0 Era: Beyond Industry 4.0
12.3 Research Design and Methodology
12.4 Results
12.4.1 Measurement Model
12.5 Conclusion
References
Appendix
13. IoT-Based Smart City Applications: Infrastructure, Research and Development
Tarush Gupta, Princy Randhawa and Nikhil Vivek Shrivas
13.1 Introduction
13.2 Different Phases of Development
13.2.1 Investments, Research, and Planning
13.2.2 Execution and Deployment
13.2.3 Globalization of IoT-Based Technologies
13.2.4 Pilot Projects and City Designs
13.3 Current Scenario
13.3.1 Achievements and Milestones
13.3.2 IoT in Smart Cities
13.4 Conclusion and Future Work
References
Index
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