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
Repositorio Institucional (UCA)
Institución
Pontificia Universidad Católica Argentina
OAI Identificador
oai:ucacris:123456789/9065
Acceder
id RIUCA_ca1ba23718deb6dfeac127d626a15dd3
oai_identifier_str oai:ucacris:123456789/9065
network_acronym_str RIUCA
repository_id_str 2585
network_name_str Repositorio Institucional (UCA)
spelling 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
_version_ 1836638348719947776
score 12.982451

Publicaciones similares