Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/346477
Type: Artigo
Title: Analysis of two-phase flow pattern identification methodologies for embedded systems
Author: Franco, E. F.
Salgado, R. M.
Ohishi, T.
Rosa, E. S.
Mastelari, N.
Abstract: The 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 devices
Subject: Sistemas embarcados (Computadores)
Visualização
Country: Estados Unidos
Editor: Institute of Electrical and Electronics Engineers
Rights: Fechado
Identifier DOI: 10.1109/TLA.2018.8358647
Address: https://ieeexplore.ieee.org/document/8358647
Date Issue: 2018
Appears in Collections:FEEC - Artigos e Outros Documentos
FEM - Artigos e Outros Documentos

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