Agile tuning method in successive steps for a river flow simulator
- Autores
- Trigila, Mariano; Gaudiani, Adriana; Luque, Emilio
- Año de publicación
- 2018
- Idioma
- inglés
- Tipo de recurso
- parte de libro
- Estado
- versión publicada
- Descripción
- Fil: Trigila, Mariano. Universidad Nacional de La Plata. Facultad de Informática; Argentina
Fil: Trigila, Mariano. Pontificia Universidad Católica Argentina. Facultad de Ingeniería y Ciencias Agrarias; Argentina
Fil: Gaudiani, Adriana. Pontificia Universidad Católica Argentina. Facultad de Ingeniería y Ciencias Agrarias; Argentina
Fil: Gaudiani, Adriana. Universidad Nacional de General Sarmiento. Instituto de Ciencias; Argentina
Fil: Luque, Emilio. Universidad Autònoma de Barcelona. Departamento de Arquitectura de Computadores y Sistemas Operativos; España
Abstract: Scientists and engineers continuously build models to interpret axiomatic theories or explain the reality of the universe of interest to reduce the gap between formal theory and observation in practice. We focus our work on dealing with the uncertainty of the input data of the model to improve the quality of the simulation. To reduce this error, scientist and engineering implement techniques for model tuning and they look for ways to reduce their high computational cost. This article proposes a methodology for adjusting a simulator of a complex dynamic system that models the wave translation along rivers channels, with emphasis on the reduction of computation resources. We propose a simulator calibration by using a methodology based on successive adjustment steps of the model. We based our process in a parametric simulation. The input scenarios used to run the simulator at every step were obtained in an agile way, achieving a model improvement up to 50% in the reduction of the simulated data error. These results encouraged us to extend the adjustment process over a larger domain region. - Fuente
- Capítulo publicado en Lecture Notes in Computer Science book series, Vol. 10862, 2018
- Materia
-
MODELOS DE SIMULACION
SISTEMAS DINAMICOS
CONTROL DE CALIDAD
RIOS
INGENIERIA AMBIENTAL
HERRAMIENTAS INFORMATICAS - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/4.0/
- Repositorio
- Institución
- Pontificia Universidad Católica Argentina
- OAI Identificador
- oai:ucacris:123456789/9065
Ver los metadatos del registro completo
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Agile tuning method in successive steps for a river flow simulatorTrigila, MarianoGaudiani, AdrianaLuque, EmilioMODELOS DE SIMULACIONSISTEMAS DINAMICOSCONTROL DE CALIDADRIOSINGENIERIA AMBIENTALHERRAMIENTAS INFORMATICASFil: Trigila, Mariano. Universidad Nacional de La Plata. Facultad de Informática; ArgentinaFil: Trigila, Mariano. Pontificia Universidad Católica Argentina. Facultad de Ingeniería y Ciencias Agrarias; ArgentinaFil: Gaudiani, Adriana. Pontificia Universidad Católica Argentina. Facultad de Ingeniería y Ciencias Agrarias; ArgentinaFil: Gaudiani, Adriana. Universidad Nacional de General Sarmiento. Instituto de Ciencias; ArgentinaFil: Luque, Emilio. Universidad Autònoma de Barcelona. Departamento de Arquitectura de Computadores y Sistemas Operativos; EspañaAbstract: Scientists and engineers continuously build models to interpret axiomatic theories or explain the reality of the universe of interest to reduce the gap between formal theory and observation in practice. We focus our work on dealing with the uncertainty of the input data of the model to improve the quality of the simulation. To reduce this error, scientist and engineering implement techniques for model tuning and they look for ways to reduce their high computational cost. This article proposes a methodology for adjusting a simulator of a complex dynamic system that models the wave translation along rivers channels, with emphasis on the reduction of computation resources. We propose a simulator calibration by using a methodology based on successive adjustment steps of the model. We based our process in a parametric simulation. The input scenarios used to run the simulator at every step were obtained in an agile way, achieving a model improvement up to 50% in the reduction of the simulated data error. These results encouraged us to extend the adjustment process over a larger domain region.Springer2018info:eu-repo/semantics/bookPartinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_3248info:ar-repo/semantics/parteDeLibroapplication/pdfhttps://repositorio.uca.edu.ar/handle/123456789/9065978-3-319-93713-710.1007/978-3-319-93713-7_60Trigila, M. et al. Agile tuning method in successive steps for a river flow simulator. [en línea]. En: Lecture Notes in Computer Science book series. Cham : Springer , 2018. doi: 10.1007/978-3-319-93713-7_60. Disponible en: https://repositorio.uca.edu.ar/handle/123456789/9065Capítulo publicado en Lecture Notes in Computer Science book series, Vol. 10862, 2018reponame:Repositorio Institucional (UCA)instname:Pontificia Universidad Católica Argentinaenginfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/4.0/2025-07-03T10:57:00Zoai:ucacris:123456789/9065instacron:UCAInstitucionalhttps://repositorio.uca.edu.ar/Universidad privadaNo correspondehttps://repositorio.uca.edu.ar/oaiclaudia_fernandez@uca.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:25852025-07-03 10:57:00.884Repositorio Institucional (UCA) - Pontificia Universidad Católica Argentinafalse |
dc.title.none.fl_str_mv |
Agile tuning method in successive steps for a river flow simulator |
title |
Agile tuning method in successive steps for a river flow simulator |
spellingShingle |
Agile tuning method in successive steps for a river flow simulator Trigila, Mariano MODELOS DE SIMULACION SISTEMAS DINAMICOS CONTROL DE CALIDAD RIOS INGENIERIA AMBIENTAL HERRAMIENTAS INFORMATICAS |
title_short |
Agile tuning method in successive steps for a river flow simulator |
title_full |
Agile tuning method in successive steps for a river flow simulator |
title_fullStr |
Agile tuning method in successive steps for a river flow simulator |
title_full_unstemmed |
Agile tuning method in successive steps for a river flow simulator |
title_sort |
Agile tuning method in successive steps for a river flow simulator |
dc.creator.none.fl_str_mv |
Trigila, Mariano Gaudiani, Adriana Luque, Emilio |
author |
Trigila, Mariano |
author_facet |
Trigila, Mariano Gaudiani, Adriana Luque, Emilio |
author_role |
author |
author2 |
Gaudiani, Adriana Luque, Emilio |
author2_role |
author author |
dc.subject.none.fl_str_mv |
MODELOS DE SIMULACION SISTEMAS DINAMICOS CONTROL DE CALIDAD RIOS INGENIERIA AMBIENTAL HERRAMIENTAS INFORMATICAS |
topic |
MODELOS DE SIMULACION SISTEMAS DINAMICOS CONTROL DE CALIDAD RIOS INGENIERIA AMBIENTAL HERRAMIENTAS INFORMATICAS |
dc.description.none.fl_txt_mv |
Fil: Trigila, Mariano. Universidad Nacional de La Plata. Facultad de Informática; Argentina Fil: Trigila, Mariano. Pontificia Universidad Católica Argentina. Facultad de Ingeniería y Ciencias Agrarias; Argentina Fil: Gaudiani, Adriana. Pontificia Universidad Católica Argentina. Facultad de Ingeniería y Ciencias Agrarias; Argentina Fil: Gaudiani, Adriana. Universidad Nacional de General Sarmiento. Instituto de Ciencias; Argentina Fil: Luque, Emilio. Universidad Autònoma de Barcelona. Departamento de Arquitectura de Computadores y Sistemas Operativos; España Abstract: Scientists and engineers continuously build models to interpret axiomatic theories or explain the reality of the universe of interest to reduce the gap between formal theory and observation in practice. We focus our work on dealing with the uncertainty of the input data of the model to improve the quality of the simulation. To reduce this error, scientist and engineering implement techniques for model tuning and they look for ways to reduce their high computational cost. This article proposes a methodology for adjusting a simulator of a complex dynamic system that models the wave translation along rivers channels, with emphasis on the reduction of computation resources. We propose a simulator calibration by using a methodology based on successive adjustment steps of the model. We based our process in a parametric simulation. The input scenarios used to run the simulator at every step were obtained in an agile way, achieving a model improvement up to 50% in the reduction of the simulated data error. These results encouraged us to extend the adjustment process over a larger domain region. |
description |
Fil: Trigila, Mariano. Universidad Nacional de La Plata. Facultad de Informática; Argentina |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/bookPart info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_3248 info:ar-repo/semantics/parteDeLibro |
format |
bookPart |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
https://repositorio.uca.edu.ar/handle/123456789/9065 978-3-319-93713-7 10.1007/978-3-319-93713-7_60 Trigila, M. et al. Agile tuning method in successive steps for a river flow simulator. [en línea]. En: Lecture Notes in Computer Science book series. Cham : Springer , 2018. doi: 10.1007/978-3-319-93713-7_60. Disponible en: https://repositorio.uca.edu.ar/handle/123456789/9065 |
url |
https://repositorio.uca.edu.ar/handle/123456789/9065 |
identifier_str_mv |
978-3-319-93713-7 10.1007/978-3-319-93713-7_60 Trigila, M. et al. Agile tuning method in successive steps for a river flow simulator. [en línea]. En: Lecture Notes in Computer Science book series. Cham : Springer , 2018. doi: 10.1007/978-3-319-93713-7_60. Disponible en: https://repositorio.uca.edu.ar/handle/123456789/9065 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/4.0/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/4.0/ |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Springer |
publisher.none.fl_str_mv |
Springer |
dc.source.none.fl_str_mv |
Capítulo publicado en Lecture Notes in Computer Science book series, Vol. 10862, 2018 reponame:Repositorio Institucional (UCA) instname:Pontificia Universidad Católica Argentina |
reponame_str |
Repositorio Institucional (UCA) |
collection |
Repositorio Institucional (UCA) |
instname_str |
Pontificia Universidad Católica Argentina |
repository.name.fl_str_mv |
Repositorio Institucional (UCA) - Pontificia Universidad Católica Argentina |
repository.mail.fl_str_mv |
claudia_fernandez@uca.edu.ar |
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1836638348719947776 |
score |
13.070432 |