Most of the business sectors consider the Digital Twin concept as the next big thing in the industry. A current state analysis of their digital counterparts helps in the prediction of the future of physical assets. Organizations obtain better insights on their product performance through the implementation of Digital Twins, and the applications of the technology are frequently in sectors such as manufacturing, automobile, retail, health care, smart cities, industrial IoT, etc. This book explores the latest developments and covers the significant challenges, issues, and advances in Digital Twin Technology. It will be an essential resource for anybody involved in related industries, as well as anybody interested in learning more about this nascent technology.
This book includes:
The future, present, and past of Digital Twin Technology.
Digital twin technologies across the Internet of Drones, which developed various perceptive and autonomous capabilities, towards different control strategies such as object detection, navigation, security, collision avoidance, and backup. These approaches help to deal with the expansive growth of big data solutions.
The recent digital twin concept in agriculture, which offers the vertical framing by IoT installation development to enhance the problematic food supply situation. It also allows for significant energy savings practices. It is highly required to overcome those challenges in developing advanced imaging methods of disease detection & prediction to achieve more accuracy in large land areas of crops.
The welfare of upcoming archetypes such as digitalization in forensic analysis. The ideas of digital twin have arisen to style the corporeal entity and associated facts reachable software and customers over digital platforms.
Wind catchers as earth building: Digital Twins vs. green sustainable architecture.
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Academic, Postgraduate, and Professional
Illustrationen
76 s/w Photographien bzw. Rasterbilder, 60 s/w Zeichnungen, 12 s/w Tabellen, 136 s/w Abbildungen
12 Tables, black and white; 60 Line drawings, black and white; 76 Halftones, black and white; 136 Illustrations, black and white
Maße
Höhe: 234 mm
Breite: 156 mm
Dicke: 14 mm
Gewicht
ISBN-13
978-0-367-67797-8 (9780367677978)
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. Gopal Chaudhary
Bharati Vidyapeeth's college of engineering Paschim Vihar, Delhi
gopal.chaudhary88@gmail.com, gopal.bvcoe@bharatividyapeeth.edu
Dr. Gopal Chaudhary is currently working as an assistant professor in Bharati Vidyapeeth's College of Engineering, Guru Gobind Singh Indraprastha University, Delhi, India. He holds a Ph.D. in Biometrics at the division of Instrumentation and Control engineering, Netaji Subhas Institute of Technology, University of Delhi, India. He received the B.E. degree in electronics and communication engineering in 2009 and the M.Tech. degree in Microwave and optical communication from Delhi Technological University (formerly known as Delhi College of Engineering), New Delhi, India, in 2012. He has 30 publications in refereed National/International Journals & Conferences (Elsevier, Springer, Inderscience) in the area of Biometrics and its applications. His current research interests include soft computing, intelligent systems, information fusion and pattern recognition. He has organized many conferences and special issues.
Dr. Manju Khari
Netaji Subhas University of Technology, East Campus ( Formerly Ambedkar Institute of Advanced Communication Technologies And Research) Delhi
manjukhari@yahoo.co.in, manjukhari@aiactr.ac.in
Dr. Manju Khari an Assistant Professor in Netaji Subhas University of Technology, East Campus, Delhi, India. She is also the Professor- In-charge of the IT Services of the Institute and has experience of more than twelve years in Network Planning & Management. She holds a Ph.D. in Computer Science & Engineering from National Institute Of Technology Patna and She received her master's degree in Information Security from Ambedkar Institute of Advanced Communication Technology and Research, formally this institute is known as Ambedkar Institute Of Technology affiliated with Guru Gobind Singh Indraprastha University, Delhi, India. Her research interests are software testing, information security, optimization, Image processing and machine learning. She has 100+ published papers in refereed National/International Journals & Conferences (viz. IEEE, ACM, Springer, Inderscience, and Elsevier), 06 book chapters in a springer. She is also co-author of two books published by NCERT of Secondary and senior Secondary School.
Dr. Mohamed Elhoseny
Faculty of Computers and Information, Mansoura University, Egypt
Mohamed_elhoseny@mans.edu.eg
Dr. Mohamed Elhoseny is currently an Assistant Professor at the Faculty of Computers and Information, Mansoura University. Dr. Elhoseny has been appointed as an ACM Distinguished Speaker from 2019 to 2022. Collectively, Dr. Elhoseny authored/co-authored over 85 ISI Journal articles in high-ranked and prestigious journals such as IEEE Transactions on Industrial Informatics (IEEE), IEEE Transactions on Reliability (IEEE), Future Generation Computer Systems (Elsevier), and Neural Computing and Applications (Springer). Besides, Dr. Elhoseny authored/edited 15 international books (eleven published by Springer, two published by Taylor& Francis, one published by Elsevier, and one published by IGI-Global). His research interests include Smart Cities, Network Security, Artificial Intelligence, Internet of Things, and Intelligent Systems. Dr. Elhoseny serves as the Editor-in-Chief of International Journal of Smart Sensor Technologies and Applications (IGI Global). Moreover, he is an Associate Editor of many journals such as IEEE Journal of Biomedical and Health Informatics (IEEE), IEEE Access (IEEE), Scientific Reports (Nature), IEEE Future Directions (IEEE), Remote Sensing (MDPI), and International Journal of E-services and Mobile Applications(IGI Global), Applied Intelligence (Springer). Moreover, he served as the co-chair, the publication chair, the program chair, and a track chair for several international conferences published by IEEE and Springer. Dr. Elhoseny is the Editor-in-Chief of the Studies in Distributed Intelligence Springer Book Series, the Editor-in-Chief of The Sensors Communication for Urban Intelligence CRC Press-Taylor& Francis Book Series, and the Editor-in-Chief of The Distributed Sensing and Intelligent Systems CRC Press-Taylor& Francis Book Series. He was granted several awards by diverse funding bodies such as the Young Researcher Award in Artificial Intelligence from the Federation of Arab Scientific Research Councils in 2019, Obada International Prize for young distinguished scientists 2020, the Egypt State Encouragement Award in 2018, the best Ph.D. thesis in Mansoura University in 2015, the SRGE best young researcher award in 2017, and the membership of The Egyptian Young Academy of Science (EYAS) in 2019. Besides, he is a TPC Member or Reviewer in 50+ International Conferences and Workshops. Furthermore, he has been reviewing papers for 80+ International Journals including IEEE Communications Magazine, IEEE Transactions on Intelligent Transportation Systems, IEEE Sensors Letters, IEEE Communication Letters, Elsevier Computer Communications, Computer Networks, Sustainable Cities and Society, Wireless Personal Communications, and Expert Systems with Applications. Dr. Elhoseny has been invited as a guest in many media programs to comment on technologies and related issues.
Herausgeber*in
BVP College of Engineering, India.
Ambedkar Institute of Advanced Communication Technologies and Research, India
Mansoura University, Egypt
Chapter 1: Digital Twin Technology: An Evaluation
Chapter 2: Digital Twin: Towards Internet of Drones
Chapter 3: Digital Twin in Agriculture Sector: Detection of Disease using Deep Learning
Chapter 4: Crop Diseases Detection and Prevention using AI and Machine Learning Techniques
Chapter 5: Architecture of Digital Twin for Network Forensic Analysis Using NMAP and WireShark
Chapter 6: Wind catchers as earth building: Digital Twins vs green sustainable architecture
Chapter 7: Digital Twin and the Detection and Location of DoS attacks to Secure Cyber-Physical UAS
Chapter 8: Digital twin techniques in Recognition of Human Action using the fusion of Convolutional Neural Network
Chapter 9: eVote - A Decentralised Voting Platform
Chapter 10: Nessus: A vulnerability scanner tool in network forensic
Chapter 11: Case Studies Related to Depression Detection Using Deep Learning Techniques
