11,700 research outputs found

    Digital Twin Technology

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    Digital twin technology is considered to be the core technology of realizing Cyber-Physical System (CPS). It is the simulation technology that integrates multidisciplinary, multiphysical quantity, multiscale and multi probability by making full use of physical model, sensor update, operation history and other data. It is the mapping technology for the whole lifecycle process of physical equipment in virtual space. It is the basic technology of Industrial 4.0. This chapter mainly introduces: (1) the generation of digital twin technology; (2) the definition and characteristics of digital twin technology; (3) the relationship between digital twin and digital thread; (4) the implementation of the product digital twin model; and (5) the research progress and application of digital twin research

    Construction of a Model Based Digital Twin Factory

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    In the digital factory system, physical factories, virtual factories, and digital twin service systems are three essential components. This article elaborates on the roles of the three in factory construction. The article utilizes m odel-based system engineering as the main idea to construct a digital twin service system, providing a basis for subsequent research

    Aerospace Medicine and Biology. A continuing bibliography (Supplement 226)

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    This bibliography lists 129 reports, articles, and other documents introduced into the NASA scientific and technical information system in November 1981

    The view from elsewhere: perspectives on ALife Modeling

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    Many artificial life researchers stress the interdisciplinary character of the field. Against such a backdrop, this report reviews and discusses artificial life, as it is depicted in, and as it interfaces with, adjacent disciplines (in particular, philosophy, biology, and linguistics), and in the light of a specific historical example of interdisciplinary research (namely cybernetics) with which artificial life shares many features. This report grew out of a workshop held at the Sixth European Conference on Artificial Life in Prague and features individual contributions from the workshop's eight speakers, plus a section designed to reflect the debates that took place during the workshop's discussion sessions. The major theme that emerged during these sessions was the identity and status of artificial life as a scientific endeavor

    Cybonto: Towards Human Cognitive Digital Twins for Cybersecurity

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    Cyber defense is reactive and slow. On average, the time-to-remedy is hundreds of times larger than the time-to-compromise. In response to the expanding ever-more-complex threat landscape, Digital Twins (DTs) and particularly Human Digital Twins (HDTs) offer the capability of running massive simulations across multiple knowledge domains. Simulated results may offer insights into adversaries' behaviors and tactics, resulting in better proactive cyber-defense strategies. For the first time, this paper solidifies the vision of DTs and HDTs for cybersecurity via the Cybonto conceptual framework proposal. The paper also contributes the Cybonto ontology, formally documenting 108 constructs and thousands of cognitive-related paths based on 20 time-tested psychology theories. Finally, the paper applied 20 network centrality algorithms in analyzing the 108 constructs. The identified top 10 constructs call for extensions of current digital cognitive architectures in preparation for the DT future.Comment: 6 pages, 3 figures, 1 tabl

    The Emergence of Digital Twin Technology in Urban Planning: A study of Perceptions, Opportunities and Barriers

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    This master’s thesis investigates the impact of digital twin technology in urban planning practice. It also investigates its potential and barriers for implementation, aiming to lay the groundwork for further innovation in urban planning. Employing a qualitative approach, the research involved a workshop observation at Stranda municipality in a joint project between NTNU, NMBU, and Augmented City, where participants navigated a digital twin virtual world and discussed the development of the world heritage area around the Geiranger Fjord. Additionally, the study incorporated expert consultations and two separate focus group discussions with urban planners. The findings reveal strong enthusiasm for the technology among urban planners, particularly for its visualization capabilities and potential to address context-specific urban challenges. The technology's capacity to reduce reliance on external consultants, increase dynamism in the planning process, and its predictive capabilities were also seen as significant benefits. However, successful implementation requires user-friendly design, acquisition of new expertise, strong management support, and effective collaborative strategies. The results suggest that digital twin technology holds great promise for transforming urban planning practices, but its adoption and effective use hinge on overcoming certain organizational and institutional challenges. The study's credibility is established through the triangulation of data sources, expert input, and rigorous data analysis, while ethical considerations ensure that participants' privacy, confidentiality, and informed consent are protected throughout the research process. Although the study is based on a relatively small sample of participants, it provides valuable insights into the user implementation process of digital twin technology, contributing to the growing body of knowledge in the field of urban planning. Overall, this master’s thesis highlights the need for further research to explore the potential benefits and challenges of implementing digital twin technology in urban planning, as well as the importance of interdisciplinary collaboration to facilitate the successful adoption of this emerging technology

    Performance Analysis of Hybrid and Full Electrical Vehicles Equipped with Continuously Variable Transmissions

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    The main aim of this paper is to study the potential impacts in hybrid and full electrical vehicles performance by utilising continuously variable transmissions. This is achieved by two stages. First, for Electrical Vehicles (EVs), modelling and analysing the powertrain of a generic electric vehicle is developed using Matlab/Simulink-QSS Toolkit, with and without a transmission system of varying levels of complexity. Predicted results are compared for a typical electrical vehicle in three cases: without a gearbox, with a Continuously Variable Transmission (CVT), and with a conventional stepped gearbox. Second, for Hybrid Electrical Vehicles (HEVs), a twin epicyclic power split transmission model is used. Computer programmes for the analysis of epicyclic transmission based on a matrix method are developed and used. Two vehicle models are built-up; namely: traditional ICE vehicle, and HEV with a twin epicyclic gearbox. Predictions for both stages are made over the New European Driving Cycle (NEDC).The simulations show that the twin epicyclic offers substantial improvements of reduction in energy consumption in HEVs. The results also show that it is possible to improve overall performance and energy consumption levels using a continuously variable ratio gearbox in EVs
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