Agile tuning method in successive steps for a river flow simulator

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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 im...

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Autores principales: Trigila, Mariano, Gaudiani, Adriana, Luque, Emilio
Formato: Parte de libro
Lenguaje:Inglés
Publicado: Springer 2019
Materias:
MODELOS DE SIMULACION
SISTEMAS DINAMICOS
CONTROL DE CALIDAD
RIOS
INGENIERIA AMBIENTAL
HERRAMIENTAS INFORMATICAS
Acceso en línea:https://repositorio.uca.edu.ar/handle/123456789/9065
Aporte de:
Repositorio Institucional de la Universidad Católica Argentina (UCA) de Universidad Católica Argentina
id I33-R139-123456789-9065
record_format dspace
spelling I33-R139-123456789-90652023-09-07T10:42:58Z Agile tuning method in successive steps for a river flow simulator Trigila, Mariano Gaudiani, Adriana Luque, Emilio MODELOS DE SIMULACION SISTEMAS DINAMICOS CONTROL DE CALIDAD RIOS INGENIERIA AMBIENTAL HERRAMIENTAS INFORMATICAS 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. 2019-11-19T22:48:09Z 2019-11-19T22:48:09Z 2018 Parte de libro 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 978-3-319-93713-7 https://repositorio.uca.edu.ar/handle/123456789/9065 10.1007/978-3-319-93713-7_60 eng Acceso abierto http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Springer Capítulo publicado en Lecture Notes in Computer Science book series, Vol. 10862, 2018
institution Universidad Católica Argentina
institution_str I-33
repository_str R-139
collection Repositorio Institucional de la Universidad Católica Argentina (UCA)
language Inglés
topic MODELOS DE SIMULACION
SISTEMAS DINAMICOS
CONTROL DE CALIDAD
RIOS
INGENIERIA AMBIENTAL
HERRAMIENTAS INFORMATICAS
spellingShingle MODELOS DE SIMULACION
SISTEMAS DINAMICOS
CONTROL DE CALIDAD
RIOS
INGENIERIA AMBIENTAL
HERRAMIENTAS INFORMATICAS
Trigila, Mariano
Gaudiani, Adriana
Luque, Emilio
Agile tuning method in successive steps for a river flow simulator
topic_facet MODELOS DE SIMULACION
SISTEMAS DINAMICOS
CONTROL DE CALIDAD
RIOS
INGENIERIA AMBIENTAL
HERRAMIENTAS INFORMATICAS
description 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.
format Parte de libro
author Trigila, Mariano
Gaudiani, Adriana
Luque, Emilio
author_facet Trigila, Mariano
Gaudiani, Adriana
Luque, Emilio
author_sort Trigila, Mariano
title Agile tuning method in successive steps for a river flow simulator
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
publisher Springer
publishDate 2019
url https://repositorio.uca.edu.ar/handle/123456789/9065
work_keys_str_mv AT trigilamariano agiletuningmethodinsuccessivestepsforariverflowsimulator
AT gaudianiadriana agiletuningmethodinsuccessivestepsforariverflowsimulator
AT luqueemilio agiletuningmethodinsuccessivestepsforariverflowsimulator
_version_ 1807949084998238208

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