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Framework genérico baseado em Redes Bayesianas para captura de evidências em sistemas móveis

Dissertação (mestrado)—Universidade de Brasília, Faculdade de Tecnologia, Departamento de Engenharia Elétrica, 2008. / Submitted by Kelly Marques (pereira.kelly@gmail.com) on 2009-10-21T19:47:33Z
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Previous issue date: 2008-02 / The aim of this work was to create a generic framework based on Bayesian networks for capture of evidence in mobile systems whose proof of concept will be demonstrated through the implementation of a system for collection of symptons, called Goitacá. The use of Goitacá shows how you can make the person an active agent during the collection of symptonms, through the answer of a computerized questionnaire regarding the revision of systems, using cell phones as members of a wearable system. / The aim of this work was to create a generic framework based on Bayesian networks for capture of evidence in mobile systems whose proof of concept will be demonstrated through the implementation of a system for collection of symptoms, called Goitacá. The use of Goitacá shows how you can make the person an active agent during the collection of symptoms, through the answer of a computerized questionnaire regarding the revision of systems, using cell phones as members of a wearable system. / O objetivo deste trabalho foi criar um framework genérico baseado em Redes Bayesianas para captura de evidências em sistemas móveis cuja prova de conceito será demonstrada por meio da implementação de um sistema de coleta de sintomas, chamado Goitacá. Com o uso do Goitacá, mostra-se como é possível tornar o indivíduo um agente ativo no processo de coleta de sintomas, através da resposta de um questionário informatizado referente a revisão dos sistemas, utilizando-se telefones celulares como integrantes de um sistema vestível.
________________________________________________________________________________________ ABSTRACT

Identiferoai:union.ndltd.org:IBICT/oai:repositorio.unb.br:10482/2144
Date02 1900
CreatorsJosé, Alexandre Bellezi
ContributorsCarvalho, Hervaldo Sampaio
Source SetsIBICT Brazilian ETDs
LanguagePortuguese
Detected LanguageEnglish
Typeinfo:eu-repo/semantics/publishedVersion, info:eu-repo/semantics/masterThesis
Sourcereponame:Repositório Institucional da UnB, instname:Universidade de Brasília, instacron:UNB
Rightsinfo:eu-repo/semantics/openAccess

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