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Smart System Engineering- Digital Twin

Smart System Engineering- Digital Twin
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Author(s): Ambika N. (St.Francis College, India)
Copyright: 2023
Pages: 14
Source title: Digital Twins and Healthcare: Trends, Techniques, and Challenges
Source Author(s)/Editor(s): Loveleen Gaur (Amity University, India & Taylor's University, Malaysia & University of the South Pacific, Fiji)and Noor Zaman Jhanjhi (Taylor's University, Malaysia)
DOI: 10.4018/978-1-6684-5925-6.ch014

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Abstract

The pragmatic model works in an open ecosystem with entrance to GPS knowledge. The proposal has four phases. Tier 1 is the legendary implicit model produced during upfront architecture. It maintains decision-making at the idea conception and preparatory study. Tier 2 is a digital counterpart. It is proficient in including enforcement, wellness, and livelihood data from the mechanical twin. It is an instantiation of the universal arrangement. It introduces group updates and maintains high-level determination. It creates the conceptual scheme, technology blueprint, preceding scheme, and construction. It has the vehicle interface library of the Modelica device. It has a vehicle with a power split. The chassis prototype has a single stage with mass-and speed-dependent resistance features. Tier 3 is the adaptive digital twin. Tier 4 has unsupervised automation ability. The approach improves the system by 7.75% in user experience and 40.6% in performance using the recommendation library compared to the previous contribution.

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