This book discusses the concept of the digital twin, which has the potential to change how systems are managed and created. It also discusses the metaverse as a new technology with literary roots, cross-platform avatars, and artificial intelligence-related cybersecurity risks.
Digital Twin for Smart Cities and Urban Planning: From Virtual to Reality provides practitioners with concrete problem-solving methodologies while covering the most recent and cutting-edge digital twin application technologies in diverse fields. It highlights the benefits of digital twins in terms of data visualization, real-time data analytics, and learning, which leads to increased confidence in decision-making. The book discusses the metaverse as a new technology with literary roots, cross-platform avatars, and artificial intelligence-related cybersecurity risks. It also evaluates the opportunities that DT can provide for smart cities and discusses the prerequisites for secure, safe, and sustainable smart cities. It also explores the mix between the industrial Internet of Things, artificial intelligence, machine learning, and software analytics with spatial network graphs to construct living digital simulation models that update and alter in response to changes in their physical counterparts. The chapters also focus on digital twin driven smart design which establishes a foundation for the adoption of digital twin technology in product design by drawing on the most recent industry practice and research.
The book is an excellent resource for practitioners and scholars in manufacturing, operations research, and communications who are thinking about digitizing their assets and related services. It is also a helpful resource for graduate students and academics looking to better understand pioneering digital twins technologies.
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für Beruf und Forschung
Für höhere Schule und Studium
Postgraduate, Professional Reference, and Undergraduate Advanced
Illustrationen
6 s/w Tabellen, 34 s/w Zeichnungen, 25 s/w Photographien bzw. Rasterbilder, 59 s/w Abbildungen
6 Tables, black and white; 34 Line drawings, black and white; 25 Halftones, black and white; 59 Illustrations, black and white
Maße
Höhe: 240 mm
Breite: 161 mm
Dicke: 20 mm
Gewicht
ISBN-13
978-1-032-83631-7 (9781032836317)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Dr. Mohammad Saif Wajid received his Bachelor's degree in Computer Science & Engineering from Dr. A.P.J. Abdul Kalam Technical University, India, and Masters's Degree from BBD University, India. He is currently enrolled as a Full-Time researcher at Tecnologico de Monterrey, Monterrey Campus, Mexico. He works as a Visiting Research Scholar at the University of Texas, San Antonio, USA. His research includes potential applications of Digital Twin, Knowledge Graph, Machine Learning, Computer Vision, NLP, and Neutrosophy, touching areas such as Violence Detection, Healthcare Systems, Dense Captioning of images/ videos, and DTWIN for Smart cities.
Prof. Hugo Terashima-Marin, (Senior Member, IEEE) received a Ph.D. in informatics from the Tecnologico de Monterrey, Campus Monterrey, in 1998. He is a Full Professor at the School of Engineering and Sciences and the Research Group Leader with a strategic focus on intelligent systems. His research interests include computational intelligence, heuristics, metaheuristics, and hyper-heuristics for combinatorial optimization, characterization of problems and algorithms, constraint handling and applications of artificial Intelligence, and machine learning.
Dr. Mohd Anas Wajid is an Assistant Professor at GLA University, Mathura, India, in the Department of Computer Science & Application. He received his PhD degree in Computer Science from Aligarh Muslim University, India. He has keen interest in Soft Computing, Machine Learning, Data Science, Information Retrieval, and Neutrosophy.
Prof. Aasim Zafar is a Senior Professor at the Computer Science Department, Aligarh Muslim University, Aligarh, India. He holds a Master's in Computer Science and Applications and obtained the degree of Ph. D. in Computer Science from Aligarh Muslim University, Aligarh, India. His research areas and special interests include Mobile Ad hoc and Sensor Networks, Software Engineering, Information Retrieval, E-Systems, e-Security, Virtual Learning Environments, Neuro-Fuzzy and Soft Computing, Knowledge Management Systems, and Web Mining. His areas of teaching interest include Computer Networks, Network Security, Software Engineering, E-Systems, Database Management Systems and Computer Programming.
Dr. Bharat Bhushan is an Assistant Professor in the Department of Computer Science and Engineering (CSE) at School of Engineering and Technology, Sharda University, Greater Noida, India. He is an alumnus of Birla Institute of Technology, Mesra, Ranchi, India. He received his Undergraduate Degree (B-Tech in Computer Science and Engineering) with Distinction in 2012, received his Postgraduate Degree (M-Tech in Information Security) with Distinction in 2015 and Doctorate Degree (PhD Computer Science and Engineering) in 2021 from Birla Institute of Technology, Mesra, India.
Herausgeber*in
TECNOLOGICO DE MONTERREY, MEXICO
Sharda University, India
Chapter 1 Integrating Data, Simulations, and Air Pollution Condition in MAITwin-TEC: A Digital Twin Approach for Smart Cities and Urban Planning
Chapter 2 Digital Twins for Inclusive Urban Planning to Empowering Communities in a Data-Driven Future
Chapter 3 Digital Twins Future Prospects in Smart Cities: Challenges of Urban Planning
Chapter 4 Digital Twins in Healthcare: Revolutionizing Patient Care and Medical Operations
Chapter 5 Digital Twin Technology: Driving Innovations in Health Monitoring and Educational Simulations
Chapter 6 Securing IoT with Digital Twins and Blockchain: Advantages, Architecture, and Applications
Chapter 7 Smart Cities: Characteristics, Technologies, and Future
Chapter 8 Digital Twin Technology Role in Health, Education, Historical Data, Trends, Simulation, Analytics and Monitoring
Chapter 9 Innovative Ideas for Leveraging IoT in Conjunction with Digital Twins for Smart Cities and Urban Planning
Chapter 10 DTwin for Urbanization: Early Warning Systems, Post-Disaster Recovery, Resilient Communities
Chapter 11 Utilizing AI and Digital Twin Technology to Cultivate Entrepreneurial Mindsets and Foster Creativity in Management Education: A Cornerstone for Corporate Readiness 5.0
Chapter 12 Integrating Edge Computing and IoT into Smart Cities: Fusing Digital Twins with Practical Urban Planning
Chapter 13 Digital Twins for Smart Cities and Future Prospects in Urban Planning
