Banca de DEFESA: FRANCISCO FERREIRA MATOS

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
STUDENT : FRANCISCO FERREIRA MATOS
DATE: 17/11/2022
TIME: 09:00
LOCAL: videoconferência na plataforma RNP (sala PEI-UFBA)
TITLE:

FREE ONLINE COMPUTATIONAL PLATFORM FOR ESTIMATING PARAMETERS WITH ASSOCIATED UNCERTAINTY ASSESSMENT.

KEY WORDS:

Parameter estimation, Uncertainty analysis, Software computer, Cov91 erage region, Regression analysis. Optimization, Usability.

PAGES: 201
BIG AREA: Engenharias
AREA: Engenharia de Produção
SUMMARY:

The dissertation presents a development of computational platform, the PEU (Parameters Estimation with Uncertainties), for estimation of parameters, with evaluation experimental data uncertainties, propagation for results and statistical evaluation of these results based on residuals. PEU stands out for incorporating usability in design and development, in order to simplify its access and use. Its ease of use is achieved through an interface that privileges information and communication with the user, without the need for programming knowledge, in the paradigm: data ->button -> results. This platform is available for web site, accessible through internet browsers, with free use and without any type of installation or configuration. The input data and their respective results, as well as the relevant statistical analyses, are saved on the platform itself and available for future editing and view. PEU presents as main outputs: the estimated parameters, the model predictions, the as81 sociated uncertainties, performance and quality indicators, as well as metrics for the evaluation of these results with statistical bases. PEU aims at distributed, easy and fast use, ideal for applications in classrooms, characteristic that gives it the potential to be used as a didactic resource and help in the learning process, especially through the use of graphic indicators. For validation of PEU’s engine, examples from the academic and scientific literature are used. This validation exemplifies the benefits of PEU as a computational tool for estimating parameters with uncertainty analysis, helping the teaching-learning process and in the use of criteria with statistical bases in evaluation of results.

COMMITTEE MEMBERS:
Externa à Instituição - IDELFONSO BESSA DOS REIS NOGUEIRA
Interna - 3495808 - KAREN VALVERDE PONTES VATER
Presidente - 2042153 - MARCIO ANDRE FERNANDES MARTINS