... engineering informatics model-based systems engineering multiphysics modeling and simulation physics-based simulations symbolic computing for engineering applications References [1] Michopoulos , J. G. , Apetre , N. A. , Steuben , J. C. , and Iliopoulos , A. P...

... Corresponding author. Email: janet.allen@ou.edu Email: anellippallil@fit.edu Email: zhenjun.ming@bit.edu.cn Email: jelenams@cranfield.ac.uk Email: farrokh.mistree@ou.edu systems engineering cyber-physical-social systems research opportunities model-based systems engineering...

... informatics knowledge engineering model-based systems engineering 17 07 2022 09 06 2023 09 06 2023 13 07 2023 1 Corresponding author. Email: csen@fit.edu Email: xymao@njust.edu.cn Abductive reasoning is the logical opposite of deduction. Here, possible causes...

... artificial intelligence cyber physical security for factories cyber physical system design and operation information management machine learning for engineering applications model-based systems engineering Zero-Trust systems engineering system design The last several decades have seen...

... interactions of their subsystems. Model-based systems engineering (MBSE) approaches tackle the complexity of developing CPS by formally and explicitly modeling subsystems and their interactions. Newer approaches also integrate domain-specific models and modeling languages to cover different aspects of CPS...

... dynamic engineering systems combined plant and control design direct transcription time grid reconstruction strategy minimum-control-trajectory-deviation model-based systems engineering multidisciplinary optimization National Natural Science Foundation of China 10.13039/501100001809...

... in the United States. Approved for public release; distribution is unlimited. 19 08 2022 22 11 2022 22 11 2022 21 12 2022 advanced computing infrastructure model-based systems engineering multiphysics modeling and simulation physics-based simulations Adhesive step-lap...

... for additive manufacturing data-driven engineering machine learning for engineering applications model-based systems engineering Data-driven approaches such as machine learning (ML) have shown their power in various engineering applications [ 1 – 5 ]. After offline training, ML tools can serve...

...Tao Xing; Chenchu Zhou; Xing Shen; Dawei Wu; Qian Li; Yusheng Liu Model-based systems engineering (MBSE) with SysML has become one of the best solutions to the system design of complex systems, which usually requires the collaboration of different disciplines. Web-based collaborative modeling...

... machine learning for engineering applications model-based systems engineering multi-physics modeling and simulation physics-based simulations In many engineering applications, physics-based computational models are used to analyze the system behavior under different operating conditions...

.... , Diouris , J.-F. , and Feng , S. , 2014 , “ Efficient Time Domain Threshold for Sparse Channel Estimation in OFDM System ,” AEU-Int. J. Electron. Commun. , 68 ( 4 ), pp. 277 – 281 . 10.1016/j.aeue.2013.09.005 data-driven engineering model-based systems engineering process modeling...

... 31 03 2022 advanced manufacturing systems inclusive manufacturing framework optimization framework evolutionary algorithms service-oriented manufacturing resource service composition cyber-physical system design and operation manufacturing planning model-based systems engineering...

... 05 2021 11 05 2021 15 02 2022 artificial intelligence big data and analytics data-driven engineering model-based systems engineering process modeling for engineering applications Energy harvesting in fossil fuel leads to a tidy and costly process due to the exponential...

... for engineering applications model-based systems engineering 25 11 2020 12 10 2021 15 10 2021 09 12 2021 Contributed by the Computers and Information Division of ASME for publication in the J ournal of C omputing and I nformation S cience in E ngineering . 1 Corresponding...

... informatics model-based systems engineering With the continuous development of science and technology, a variety of high-tech products and precision instruments in the field of aerospace emerge in endlessly. The manufacturing materials of these precision instruments and equipment are more diversified...

... computer-aided manufacturing engineering informatics information management knowledge engineering manufacturing automation manufacturing planning model-based systems engineering process modeling for engineering applications qualification verification and validation of computational models...

... that is difficult to predict and manage. The recent shift toward model-based design has demonstrated significant advantages for minimizing these challenges (McDermott et al. 2020. Benchmarking the benefits and current maturity of model-based systems engineering across the enterprise. results of the model-based...

... modeling functional features structural states functional modes functional conjugacy model-based systems engineering Early-stage systematic design recommends abstracting the problem and thinking of it with respect to functions to explore the solution space [ 1 – 3 ]. A common tool used...

...: alayton@tamu.edu 29 09 2020 16 02 2021 17 02 2021 12 05 2021 system of systems SoS architectures resilience affordability bio-inspired design model-based systems engineering multidisciplinary optimization A system of systems (SoS) is a networked integration...

... 2020 21 01 2021 21 01 2021 23 02 2021 multi-objective robust optimization robust Pareto front nominal Pareto front robustness metric vertex estimation computer-aided design model-based systems engineering multidisciplinary optimization To incorporate the robustness...