Digital Twin Technology

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.

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

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 int