Agile Tuning Method in Successive Steps for a River Flow Simulator

Autores
Trigila, Mariano; Gaudiani, Adriana Angélica; Luque Fadón, Emilio
Año de publicación
2018
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
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.
Trabajo publicado en Lecture Notes in Computer Science book series (LNCS, vol. 10862)
Facultad de Informática
Materia
Ciencias Informáticas
Parametric simulation
tuning methodology
flood simulation improvement
dynamical systems
flood model calibration
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/127483

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network_name_str SEDICI (UNLP)
spelling Agile Tuning Method in Successive Steps for a River Flow SimulatorTrigila, MarianoGaudiani, Adriana AngélicaLuque Fadón, EmilioCiencias InformáticasParametric simulationtuning methodologyflood simulation improvementdynamical systemsflood model calibrationScientists 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.Trabajo publicado en <i>Lecture Notes in Computer Science</i> book series (LNCS, vol. 10862)Facultad de Informática2018info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf639-646http://sedici.unlp.edu.ar/handle/10915/127483enginfo:eu-repo/semantics/altIdentifier/issn/0302-9743info:eu-repo/semantics/altIdentifier/issn/1611-3349info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-319-93713-7_60info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:30:43Zoai:sedici.unlp.edu.ar:10915/127483Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:30:43.961SEDICI (UNLP) - Universidad Nacional de La Platafalse
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
Ciencias Informáticas
Parametric simulation
tuning methodology
flood simulation improvement
dynamical systems
flood model calibration
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 Angélica
Luque Fadón, Emilio
author Trigila, Mariano
author_facet Trigila, Mariano
Gaudiani, Adriana Angélica
Luque Fadón, Emilio
author_role author
author2 Gaudiani, Adriana Angélica
Luque Fadón, Emilio
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Parametric simulation
tuning methodology
flood simulation improvement
dynamical systems
flood model calibration
topic Ciencias Informáticas
Parametric simulation
tuning methodology
flood simulation improvement
dynamical systems
flood model calibration
dc.description.none.fl_txt_mv 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.
Trabajo publicado en <i>Lecture Notes in Computer Science</i> book series (LNCS, vol. 10862)
Facultad de Informática
description 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.
publishDate 2018
dc.date.none.fl_str_mv 2018
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
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dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/127483
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dc.language.none.fl_str_mv eng
language eng
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info:eu-repo/semantics/altIdentifier/issn/1611-3349
info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-319-93713-7_60
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
639-646
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