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A Reflective Framework for Performance Management (REFORM) of Real-Time Hybrid Simulation
Currently, the lack of (1) a sufficiently integrated, adaptive, and reflective framework to ensure the safety, integrity, and coordinated evolution of a real-time hybrid simulation (RTHS) as it runs, and (2) the ability to articulate and gauge suitable measures of the performance and integrity of an...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8216243/ https://www.ncbi.nlm.nih.gov/pubmed/34159156 http://dx.doi.org/10.3389/fbuil.2020.568742 |
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author | Maghareh, Amin Fu, Yuguang Montoya, Herta Condori, Johnny Wang, Zixin Dyke, Shirley J. Montoya, Arturo |
author_facet | Maghareh, Amin Fu, Yuguang Montoya, Herta Condori, Johnny Wang, Zixin Dyke, Shirley J. Montoya, Arturo |
author_sort | Maghareh, Amin |
collection | PubMed |
description | Currently, the lack of (1) a sufficiently integrated, adaptive, and reflective framework to ensure the safety, integrity, and coordinated evolution of a real-time hybrid simulation (RTHS) as it runs, and (2) the ability to articulate and gauge suitable measures of the performance and integrity of an experiment, both as it runs and post-hoc, have prevented researchers from tackling a wide range of complex research problems of vital national interest. To address these limitations of the current state-of-the-art, we propose a framework named Reflective Framework for Performance Management (REFORM) of real-time hybrid simulation. REFORM will support the execution of more complex RTHS experiments than can be conducted today, and will allow them to be configured rapidly, performed safely, and analyzed thoroughly. This study provides a description of the building blocks associated with the first phase of this development (REFORM-I). REFORM-I is verified and demonstrated through application to an expanded version of the benchmark control problem for real-time hybrid simulation. |
format | Online Article Text |
id | pubmed-8216243 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-82162432021-06-21 A Reflective Framework for Performance Management (REFORM) of Real-Time Hybrid Simulation Maghareh, Amin Fu, Yuguang Montoya, Herta Condori, Johnny Wang, Zixin Dyke, Shirley J. Montoya, Arturo Front Built Environ Article Currently, the lack of (1) a sufficiently integrated, adaptive, and reflective framework to ensure the safety, integrity, and coordinated evolution of a real-time hybrid simulation (RTHS) as it runs, and (2) the ability to articulate and gauge suitable measures of the performance and integrity of an experiment, both as it runs and post-hoc, have prevented researchers from tackling a wide range of complex research problems of vital national interest. To address these limitations of the current state-of-the-art, we propose a framework named Reflective Framework for Performance Management (REFORM) of real-time hybrid simulation. REFORM will support the execution of more complex RTHS experiments than can be conducted today, and will allow them to be configured rapidly, performed safely, and analyzed thoroughly. This study provides a description of the building blocks associated with the first phase of this development (REFORM-I). REFORM-I is verified and demonstrated through application to an expanded version of the benchmark control problem for real-time hybrid simulation. 2020-09-25 2020 /pmc/articles/PMC8216243/ /pubmed/34159156 http://dx.doi.org/10.3389/fbuil.2020.568742 Text en https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/4.0/) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Article Maghareh, Amin Fu, Yuguang Montoya, Herta Condori, Johnny Wang, Zixin Dyke, Shirley J. Montoya, Arturo A Reflective Framework for Performance Management (REFORM) of Real-Time Hybrid Simulation |
title | A Reflective Framework for Performance Management (REFORM) of Real-Time Hybrid Simulation |
title_full | A Reflective Framework for Performance Management (REFORM) of Real-Time Hybrid Simulation |
title_fullStr | A Reflective Framework for Performance Management (REFORM) of Real-Time Hybrid Simulation |
title_full_unstemmed | A Reflective Framework for Performance Management (REFORM) of Real-Time Hybrid Simulation |
title_short | A Reflective Framework for Performance Management (REFORM) of Real-Time Hybrid Simulation |
title_sort | reflective framework for performance management (reform) of real-time hybrid simulation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8216243/ https://www.ncbi.nlm.nih.gov/pubmed/34159156 http://dx.doi.org/10.3389/fbuil.2020.568742 |
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