Smart Cities
CRC Press (Verlag)
978-1-032-45111-4 (ISBN)
Smart Cities: AI, IoT Technologies, Big Data Solutions, Cloud Platforms, and Cybersecurity Techniques discusses the design and implementation of the core components of the smart city ecosystem. The editors discuss the effective management and development of smart city infrastructures, starting with planning and integrating complex models and diverse frameworks into an ecosystem. Specifically the chapters examine the core infrastructure elements, including activities of the public and private services as well as innovative ICT solutions, computer vision, IoT technologies, data tools, cloud services, AR/VR technologies, cybersecurity techniques, treatment solution of the environmental water pollution, and other intelligent devices for supporting sustainable living in the smart environment.
The chapters also discuss machine vision models and implementation as well as real-time robotic applications. Upon reading the book, users will be able to handle the challenges and improvements of security for smart systems, and will have the know-how to analyze and visualize data using big data tools and visualization applications. The book will provide the technologies, solutions as well as designs of smart cities with advanced tools and techniques for students, researchers, engineers, and academics.
Dr. Alex Khang is a Professor in Information Technology (IT), AI and data scientist, software industry expert, and the chief of technology officer (AI and Data Science Research Center) at the Global Research Institute of Technology and Engineering, North Carolina, United States. He has over 28 years of teaching and research experience in information technology at the Universities of Science and Technology in Vietnam, India, and USA. He has published 52 authored books (in computer science 2000-2010), 2 authored books (software development), and 20 book chapters. He has published 10 edited books, and 11 edited books (calling for book chapters) in the fields of AI ecosystem (AI, ML, DL, IoT, Robotics, Data science, Big data, and Quantum computing), smart city ecosystem, healthcare ecosystem, Fintech technology, and blockchain technology (since 2020). He has over 28 years of working experience as a software product manager, data engineer, AI engineer, cloud computing architect, solution architect, software architect, database expert in the foreign corporations of Germany, Sweden, the United States, Singapore, and multinationals (former CEO, former CTO, former Engineering Director, Product Manager, and Senior Software Production Consultant). Dr. Shashi Kant Gupta is a researcher and director, independent academic scholar at research department, CREP, Lucknow, Uttar Pradesh, India. He has completed his Ph.D. in CSE from Integral University, Lucknow, Uttar Pradesh, India, and worked as assistant professor in the department of computer science and engineering, PSIT, Kanpur, Uttar Pradesh, and India. He has published more than 17 Indian patents, one patent is under grant approval. He has already granted some Germany patents as well. He has more than 28 years of teaching experience and 2 years of industrial experience. He has been publishing 10 book chapters for Taylor and Francis Group – CRC Press, and 04 edited books (calling for book chapters) in the fields of AI Ecosystem (AI, Robotics, data science, Big Data, and IoT), smart city ecosystem, healthcare ecosystem, and Blockchain technology. He has published many research papers in reputed international journals with SCOPUS and ESCI indexed journals and published many papers in national and international conferences and as well as in Seminars. He is currently founder and CEO of CREP, Lucknow, Uttar Pradesh, India. He is a member of Spectrum IEEE & Potentials Magazine IEEE since 2019 and many more international organization for research activities. He has published many research papers in reputed international journals with SCOPUS and ESCI indexed journals and published many papers in national and international conferences and in seminars. He has organized various faculty development programs, seminars, workshops, and short-term courses at University level. His main research work focuses on performance enhancement through cloud computing, Big data analytics, IoT and computational intelligence-based education. He is currently working as a reviewer in various international journals like BJIT and many more. He has published many Indian and Australian patents in the field of information technology, computer science, and management. Dr. Sita Rani is a Faculty of Computer Science and Engineering at Guru Nanak Dev Engineering College, Ludhiana. Previously, she has served as a Professor – Computer Science & Engineering and Deputy Dean (Research) at Gulzar Group of Institutions, Khanna (Punjab). She has completed her B.Tech and M.Tech degrees in the faculty of Computer Science and Engineering from Guru Nanak Dev Engineering College, Ludhiana. She obtained her Ph.D. in Computer Science and Engineering from I.K. Gujral Punjab Technical University, Kapurthala, Punjab. At present, she is also Postdoctoral Fellow at Data Mining and Virtualization Laboratory, South Ural State University, Russia. She has more than 19 years of teaching experience. She is an active member of IEEE, ISTE, and IAEngg. She is the receiver of ISTE Section Best Teacher Award and International Young Scientist Award. She has contributed to the various research activities while publishing articles in the renowned SCI journals and conference proceedings. She has published five international and one Indian patents. She has delivered many expert talks in A.I.C.T.E. sponsored Faculty Development Programs and organized many International Conferences during her 19 years of teaching experience. She is a member of Editorial Board of four international journals of repute. Her research interest includes Parallel and Distributed Computing, Machine Learning, and Internet of Things (IoT). Dr. Dimitrios A. Karras, Associate Professor, he received Diploma and M.Sc. Degree in Electrical and Electronic Engineering from the National Technical University of Athens (NTUA), Greece in 1985 and the Ph.D. in Electrical Engineering, NTUA, Greece in 1995, with honors. During 1990–2004, he collaborated as visiting professor and researcher with several universities and research institutes in Greece and Heidelberg, Germany (DKFZ). During 2004–2018, he has been with the Sterea Hellas Institute of Technology, Automation Dept., Greece as assoc. prof. in Digital Systems and Signal Processing, as well as visiting prof. of Hellenic Open University, Dept. Informatics in Communication Systems (2002–2010). Since 1/2019, she has remained an Associate Prof. in Digital and Intelligent Systems & Signal Processing, in National and Kapodistrian University of Athens, Greece, School of Science, Dept. General (dakarras@uoa.gr) as well as adjunct Assoc. Prof. Dr. with the School of Basic Sciences, BIHER University, Chennai, India, as well as with the GLA university, Mathura, India and EPOKA & CIT universities, Computer Engineering Dept., Tirana. He has published more than 80 research refereed journal papers in intelligent and distributed/multi-agent systems, pattern recognition, and image/signal processing and neural networks as well as in bioinformatics and more than 185 research papers in international refereed scientific conferences. His research interests span the fields of intelligent and distributed systems, multi-agent systems, pattern recognition and computational intelligence, image and signal processing/systems, biomedical systems, communications and networking, as well as security and sustainability applications. He has served as program committee member as well as program/general chair at several international workshops and conferences in signal, image, communication, and automation systems. He is, also, former editor in chief (2008–2016) of the International Journal in Signal and Imaging Systems Engineering (IJSISE), Academic editor in the Applied Computational Intelligence and Soft Computing, TWSJ, ISRN Communications and the Applied Mathematics Hindawi journals, as well as associate editor in various scientific journals, including CAAI, IET, Bentham Science Recent Patents in Engineering Section Editor, Sustainable Solutions and Society journal (Editorial Team | Sustainable Solutions and Society (spast.org)), IJANA and Academic Publishing, Information System and Smart City. He has been cited in more than 2500 research papers, his H/G-indices are 21/51 (Google Scholar) and his Erdos number is 5. His RG score is 31.94 in the highest 10% of scientific researchers. Apart from his scientific research, Assoc. Prof. Dr. D.A. Karras is involved in humanitarian projects as Sustainability, Human Rights and Peace passionate being Director of Research and Documentation at AdiAfrica NGO.
Chapter 1 Smart City Concepts, Models, Technologies and Applications
Chapter 2 Benchmarking the Collaborative and Integrated Smart City Model with Industry 5.0: A Way Froward
Chapter 3 The Role of Internet of Things (IoT) in Smart City Framework
Chapter 4 Applications of the Internet of Things (IoT) in Smart Cities: A Step towards Innovation
Chapter 5 Internet of Things (IoT) based Implementation of Smart Cities using Emerging Technologies and Its Challenges
Chapter 6 Traffic Control Mechanism using Internet of Things (IoT) in Smart City
Chapter 7 Effective Construction Site Monitoring using Artificial Intelligence (AI)
Chapter 8 Smart Healthcare: Emerging Technologies, Applications, Challenges, and Future Research Directions
Chapter 9 Optimization of Contention Window for Vehicular Ad-hoc Networks (VANET) using Learning Algorithm
Chapter 10 Human Emotion Recognition in Smart City using Transfer Learning-based Convolutional Neural Network (CNN) Model
Chapter 11 Role of the Internet of Things (IoT) in Enhancing the Effectiveness of the Self-Help Groups (SHG) in Smart City
Chapter 12 Personalized Social-Collaborative IoT-Symbiotic Platforms in Smart Education Ecosystem
Chapter 13 Vehicle and Passenger Identification in Public Transportation to Fortify Smart City Indices
Chapter 14 5G-assisted UDVs Networks Based Energy-Efficient Optimal Route Scheduling for Smart City
Chapter 15 Role of Vehicular Adhoc Network-Aided Traffic Management in Smart City Development
Chapter 16 Big Data Analytics Tools, Challenges and Its Applications
Chapter 17 Dual Access Control for Cloud Based Data Storage and Sharing
Chapter 18 An Analysis of Securing IoT Devices from Man-in-the-Middle (MIMA) and Denial of Service (DoS)
Chapter 19 Exploratory Analysis on Current Application-Layer HTTP-Payload based DDoS Attack on IoT Devices
Chapter 20 Detection of Cyber Attacks in IoT-based Smart Cities using Integrated Chain Based Multi-Class Support Vector Machine
Chapter 21 Treatment Solution of the Environmental Water Pollution for Smart City
Index
| Erscheinungsdatum | 05.12.2023 |
|---|---|
| Zusatzinfo | 45 Tables, black and white; 7 Line drawings, color; 8 Line drawings, black and white; 106 Halftones, color; 9 Halftones, black and white; 113 Illustrations, color; 17 Illustrations, black and white |
| Verlagsort | London |
| Sprache | englisch |
| Maße | 156 x 234 mm |
| Gewicht | 948 g |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Informatik ► Weitere Themen ► Hardware | |
| Naturwissenschaften ► Geowissenschaften ► Geografie / Kartografie | |
| Technik ► Elektrotechnik / Energietechnik | |
| Technik ► Umwelttechnik / Biotechnologie | |
| ISBN-10 | 1-032-45111-4 / 1032451114 |
| ISBN-13 | 978-1-032-45111-4 / 9781032451114 |
| Zustand | Neuware |
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