Search

Showing total 4 results
Start Over Topic computer systems Topic digital twin Publication Year Range Last 3 years
4 results

1. Blockchain-enabled Internet of Things and Virtual Sensor Networks, Mobile Cloud and Edge Computing Systems, and Predictive Modeling and Cognitive Data Fusion Techniques in Big Data-driven Digital Twin Urban Geopolitics and Immersive Hyper-Connected Virtual Spaces.

Author

Valaskova, Katarina, Gajdosikova, Dominika, Popescu, Kanty Cătălin, and Pera, Aurel

Subjects
DIGITAL twins, DATA modeling, VIRTUAL networks, COMPUTER systems, SENSOR networks, MULTISENSOR data fusion
Abstract

Based on an in-depth survey of the literature, the purpose of the paper is to explore big data-driven urban geopolitics and immersive hyper-connected virtual spaces developing on real-time data monitoring and digital twin modeling tools, predictive control and computer vision algorithms, and immersive visualization and smart city software systems. Throughout March 2023, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including “big data-driven digital twin urban geopolitics and immersive hyperconnected virtual spaces” + “blockchain-enabled Internet of Things and virtual sensor networks,” “mobile cloud and edge computing systems,” and “predictive modeling and cognitive data fusion techniques.” As research published in 2022 and 2023 was inspected, only 151 articles satisfied the eligibility criteria, and 23 mainly empirical sources were selected. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AMSTAR, Dedoose, Distiller SR, and SRDR. [ABSTRACT FROM AUTHOR]

Published
2023
Full Text
View/download PDF

2. The Current and Future Challenges for Virtual Commissioning and Digital Twins of Production Lines

Author

Lidell, Anton, Ericson, Stefan, and Ng, Amos H. C.

Subjects
Production Engineering, Human Work Science and Ergonomics, Datorsystem, Robotteknik och automation, literature review, Computer Systems, digital twin, Virtual commissioning, Produktionsteknik, arbetsvetenskap och ergonomi, interview, Robotics, simulation, production system
Abstract

The use of virtual commissioning has increased in the last decade, but there are still challenges before the software code validation method is widespread in use. One of the extensions to virtual commissioning is the digital twin technology to allow for further improved accuracy. The aim of this paper is to review existing standards and approaches to developing virtual commissioning, through a literature review and interviews with experts in the industry. First, the definitions and classifications related to virtual commissioning and digital twins are reviewed, followed by, the approaches for the development of virtual commissioning and digital twins reported in the literature are explored. Then, in three interviews with experts of varying backgrounds and competencies, the views of the virtual technologies are assessed to provide new insight for the industry. The findings of the literature review and interviews are, among others, the apparent need for standardisation in the field and that a sought-after standard in the form of ISO 23247-1 is underway. The key finding of this paper is that digital twin is a concept with a promising future in combination with other technologies of Industry 4.0. We also outline the challenges and possibilities of virtual commissioning and the digital twin and could be used as a starting point for further research in standardisations and improvements sprung from the new standard. CC BY-NC 4.0Corresponding Author, Anton Lidell, University of Skövde, Sweden, E-mail: antonlidell@live.se

Published
2022

3. Digital-Twin-Enabled 6G: Vision, Architectural Trends, and Future Directions.

Author

Khan, Latif U., Saad, Walid, Niyato, Dusit, Han, Zhu, and Hong, Choong Seon

Subjects
BLOCKCHAINS, HUMAN-computer interaction, EDGE computing, COMPUTER systems, CLOUD computing, TELECOMMUNICATION
Abstract

Internet of Everything (IoE) applications such as haptics, human-computer interaction, and extended reality, using the sixth-generation (6G) of wireless systems have diverse requirements in terms of latency, reliability, data rate, and user-defined performance metrics. Therefore, enabling IoE applications over 6G requires a new framework that can be used to manage, operate, and optimize the 6G wireless system and its underlying IoE services. Such a new framework for 6G can be based on digital twins. Digital twins use a virtual representation of the 6G physical system along with the associated algorithms (e.g., machine learning, optimization), communication technologies (e.g., millimeter-wave and terahertz communication), computing systems (e.g., edge computing and cloud computing), as well as privacy and security-related technologists (e.g., blockchain). First, we present the key design requirements for enabling 6G through the use of a digital twin. Next, the architectural components and trends such as edge-based twins, cloud-based-twins, and edge-cloud-based twins are presented. Furthermore, we provide a comparative description of various twins. Finally, we outline and recommend guidelines for several future research directions. [ABSTRACT FROM AUTHOR]

Published
2022
Full Text
View/download PDF

4. Digital Twin-based Intrusion Detection for Industrial Control Systems

Author

Seba Anna Varghese, Alireza Dehlaghi Ghadim, Ali Balador, Zahra Alimadadi, and Panos Papadimitratos

Subjects
Ensemble models, FOS: Computer and information sciences, Computer Science - Machine Learning, Denial-of-service attack, Computer Science - Cryptography and Security, Stacked Ensemble Model, Learning algorithms, E-learning, Machine Learning (cs.LG), Machine Learning, Digital Twin, Computer Systems, medicinsk/hälsovetenskaplig inriktning, Intrusion detection, Security frameworks, Machine-learning, specialising in Medical and Health Sciences, Industrial systems, Industrial Control Systems, Predictive maintenance, Intrusion Detection Systems, Gerontologi, Intrusion-Detection, Datorsystem, Simulation optimization, Gerontology, Cryptography and Security (cs.CR), Supervised learning
Abstract

Digital twins have recently gained significant interest in simulation, optimization, and predictive maintenance of Industrial Control Systems (ICS). Recent studies discuss the possibility of using digital twins for intrusion detection in industrial systems. Accordingly, this study contributes to a digital twin-based security framework for industrial control systems, extending its capabilities for simulation of attacks and defense mechanisms. Four types of process-aware attack scenarios are implemented on a standalone open-source digital twin of an industrial filling plant: command injection, network Denial of Service (DoS), calculated measurement modification, and naive measurement modification. A stacked ensemble classifier is proposed as the real-time intrusion detection, based on the offline evaluation of eight supervised machine learning algorithms. The designed stacked model outperforms previous methods in terms of F1-Score and accuracy, by combining the predictions of various algorithms, while it can detect and classify intrusions in near real-time (0.1 seconds). This study also discusses the practicality and benefits of the proposed digital twin-based security framework., 7 pages, 7 figures, 3 tables, workshop paper

Published
2022