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Reinventing Digitalization with Digital Twin Technology

Submission Deadline: 30 November 2021 (closed)

Guest Editors

Professor Neeraj Kumar [Leading Guest Editor], Thapar University, India
Dr. Seungmin (Charile) Rho, Sejong University, Korea (Republic of)
Dr. Mamoun Alazab, Charles Darwin University, Australia


Digital Twins play a significant part in the advanced manufacturing sector in the design, monitoring, development, and control of products. It is the logical evolution and convergence of a vast number of emerging technologies such as the Internet of Things, wireless networking, sensor technology, cloud analytics, artificial intelligence, data processing, virtual and augmented visualization of information. It has been recognized as one of the primary key elements of Industry 4.0, in which the significant effort to integrate all manufacturing aspects to secure smooth control and communication across tasks, machinery, and industrial process management.

The Digital Twins reflect graphical representations of assigned physical systems that use on-board sensors, the best computational models, and other input data to provide probabilistic predictions of present or prospective circumstances. A Digital Twin is a multi-dimensional, multi-level to capture the complexity of a physical system and requires regular periodic updates to previous forecasts acquired data.

This special issue aims to chart the current state of the art technology to identify the direction for the future and compare various perspectives on the development of the Digital Twin. The scope of the Digital Twin concept is expected to result in differing application details in combination with different missions from government and industry entities. This topic is intended to illustrate these distinctions and parallels, as well as how various organizations should complement each other and explain the possible factors based on recent advancements in the digital twin. The special issue will include a combined contribution to the development of quantitative uncertainty, health monitoring modules, sensing, computational modeling, and others in recognition of future reliability assurance in structural industrial dynamics based on digital twins.

All this provides significant possibilities for industry, technology, financial, legal, and ethical problems. As interactions with the digital twins increase the data collection, which includes personal data, in which protection has become a significant and more challenging issue.

Topics of interest for the special issue include, but not, limited to the following:

• Theory and modeling of digital twins

• Digital Twins technology that enables artificial intelligence, sensors, cloud and cloud computing

• Blueprint for digital twins

• Internet of Things and standardization of Digital Twins

• Cybersecurity

• Application areas for digital twins including manufacturing, health care, smart cities, finance, and education

• The experience of digital twins with practical applications

• The role of digital twins in the digital process

• Digital twins in Healthcare

• Physical overlapping and digital twins

• As independent entities, instances of digital twins

• Personal Digital Twins

• Virtual digital twins

• Legal and social problems

• Aspects of security

• Cyber physical system and its importance based on digital twins

Published Papers

  • Open Access


    Foundation Treatment in Urban Underground Engineering Using Big Data Analysis for Smart City Applications

    Fei Liu, Yunkai Zhang, Jian Zhang
    CMES-Computer Modeling in Engineering & Sciences, Vol.132, No.1, pp. 153-172, 2022, DOI:10.32604/cmes.2022.017967
    (This article belongs to this Special Issue: Reinventing Digitalization with Digital Twin Technology)
    Abstract A core element of the sustainable approach to global living quality improvement can now become the intensive and organized usage of underground space. There is a growing interest in underground building and growth worldwide. The reduced consumption of electricity, effective preservation of green land, sustainable wastewater and sewage treatment, efficient reverse degradation of the urban environment, and reliable critical infrastructure management can improve the quality of life. At the same time, technological innovations such as artificial intelligence (AI), cloud computing (CC), the internet of things (IoT), and big data analytics (BDA) play a significant role in improved quality of life.… More >

  • Open Access


    A Triple Human-Digital Twin Architecture for Cyber-Physical Systems

    Duansen Shangguan, Liping Chen, Chang Su, Jianwan Ding, Chan Liu
    CMES-Computer Modeling in Engineering & Sciences, Vol.131, No.3, pp. 1557-1578, 2022, DOI:10.32604/cmes.2022.018979
    (This article belongs to this Special Issue: Reinventing Digitalization with Digital Twin Technology)
    Abstract With the development of information and communication technology and the advent of the Internet of Things (IoT) era, cyber-physical system (CPS) is becoming the trend of products or systems. The deep integration and real-time interaction between the physical world and the virtual world expand system functions. Although there are some CPS implementation guidelines, the virtual world is still relatively abstract compared to the concrete physical world that can be touched through the IoT. Besides that, human is a non-negligible CPS endogenous interactive intelligent component. In this paper, we propose a triple human-digital twin architecture, where the physical objects and the… More >

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