Real-time simulation techniques for augmented learning in science and engineering
In this paper we present the basics of a novel methodology for the development of simulation-based and augmented learning tools in the context of applied science and engineering. It is based on the extensive use of model order reduction, and particularly, of the so-called Proper Generalized Decompos...
| Autores: | , , , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2016 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/97463 |
| Acceso en línea: | https://hdl.handle.net/2117/97463 https://dx.doi.org/10.1007/s00371-015-1134-7 |
| Access Level: | acceso abierto |
| Palabra clave: | Computer-assisted instruction Augmented learning Real-time simulation Model order reduction Proper generalized decomposition Ensenyament assistit per ordinador Àrees temàtiques de la UPC::Ensenyament i aprenentatge::TIC's aplicades a l'educació |
| Sumario: | In this paper we present the basics of a novel methodology for the development of simulation-based and augmented learning tools in the context of applied science and engineering. It is based on the extensive use of model order reduction, and particularly, of the so-called Proper Generalized Decomposition (PGD) method. This method provides a sort of meta-modeling tool without the need for prior computer experiments that allows the user to obtain real-time response in the solution of complex engineering or physical problems. This real-time capability also allows for its implementation in deployed, touch-screen, handheld devices or even to be immersed into electronic textbooks. We explore here the basics of the proposed methodology and give examples on a few challenging applications never until now explored, up to our knowledge. |
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