Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/346477
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dc.contributor.CRUESPUNIVERSIDADE ESTADUAL DE CAMPINASpt_BR
dc.contributor.authorunicampFranco Junior, Edgar Fonseca-
dc.contributor.authorunicampOhishi, Takaaki-
dc.contributor.authorunicampRosa, Eugênio Spanó-
dc.contributor.authorunicampMastelari, Niederauer-
dc.typeArtigopt_BR
dc.titleAnalysis of two-phase flow pattern identification methodologies for embedded systemspt_BR
dc.contributor.authorFranco, E. F.-
dc.contributor.authorSalgado, R. M.-
dc.contributor.authorOhishi, T.-
dc.contributor.authorRosa, E. S.-
dc.contributor.authorMastelari, N.-
dc.subjectVisualizaçãopt_BR
dc.subjectSistemas embarcados (Computadores)pt_BR
dc.subject.otherlanguageEmbedded computer systemspt_BR
dc.subject.otherlanguageVisualizationpt_BR
dc.description.abstractThe Main goal of Two Phase Flow Pattern Identification is to pinpoint the correct pattern in terms of flow in a given section of a pipe. The identification of these patterns has applications in several areas, such as chemical and oil industries. When technologies of identification in real systems are intended to be used, several aspects must be considered, such as data size, memory, processing power. The objective of this paper is to investigate the possibility of embedding a methodology to identify flow patterns in devices that have limited processing power and memory capacity. In this sense, several statistical operations were made aiming to reduce the information needed to identify the patterns. Tests were conducted simulating reductions in data size, resulting in no loss quality at the identification process. From tests performed, it was discovery an efficient identification model and computationally easy to be embedded in a small devicespt_BR
dc.relation.ispartofIEEE America Latina. Revista = IEEE Latin America transactionspt_BR
dc.publisher.cityPiscataway, NJpt_BR
dc.publisher.countryEstados Unidospt_BR
dc.publisherInstitute of Electrical and Electronics Engineerspt_BR
dc.date.issued2018-
dc.date.monthofcirculationMar.pt_BR
dc.language.isoengpt_BR
dc.description.volume16pt_BR
dc.description.issuenumber3pt_BR
dc.description.firstpage718pt_BR
dc.description.lastpage727pt_BR
dc.rightsFechadopt_BR
dc.sourceSCOPUSpt_BR
dc.identifier.eissn1548-0992pt_BR
dc.identifier.doi10.1109/TLA.2018.8358647pt_BR
dc.identifier.urlhttps://ieeexplore.ieee.org/document/8358647pt_BR
dc.date.available2020-07-31T15:04:59Z-
dc.date.accessioned2020-07-31T15:04:59Z-
dc.description.provenanceSubmitted by Susilene Barbosa da Silva (susilene@unicamp.br) on 2020-07-31T15:04:59Z No. of bitstreams: 0en
dc.description.provenanceMade available in DSpace on 2020-07-31T15:04:59Z (GMT). No. of bitstreams: 0 Previous issue date: 2018en
dc.identifier.urihttp://repositorio.unicamp.br/jspui/handle/REPOSIP/346477-
dc.contributor.departmentsem informaçãopt_BR
dc.contributor.departmentDepartamento de Sistemas e Energiapt_BR
dc.contributor.departmentDepartamento de Energiapt_BR
dc.contributor.departmentDepartamento de Sistemas Integradospt_BR
dc.contributor.unidadeFaculdade de Engenharia Mecânicapt_BR
dc.contributor.unidadeFaculdade de Engenharia Elétrica e de Computaçãopt_BR
dc.contributor.unidadeFaculdade de Engenharia Elétrica e de computação Computaçãopt_BR
dc.subject.keywordRNApt_BR
dc.subject.keywordIEEE transactionspt_BR
dc.subject.keywordFinite element analysispt_BR
dc.identifier.source2-s2.0-85047106440pt_BR
dc.creator.orcidsem informaçãopt_BR
dc.creator.orcidsem informaçãopt_BR
dc.creator.orcidsem informaçãopt_BR
dc.creator.orcid0000-0001-5994-6560pt_BR
dc.type.formArtigopt_BR
dc.identifier.articleid17754348pt_BR
Appears in Collections:FEEC - Artigos e Outros Documentos
FEM - Artigos e Outros Documentos

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