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A study of a two phases medium in pipe vessel using gaussian filter method and k-NN classifier

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Main Authors: Mohd Rizal, Manan, Muhammad Naufal, Mansor, Ruzairi, Abdul Rahim, Sazali, Yaacob, Prof. Dr., Mohd Hafiz, Fazalul Rahiman, Dr.
Other Authors: rizalmanan@gmail.com
Format: Article
Language:English
Published: IOS Press 2014
Subjects:
Two phase level
k-NN classifier
Gaussian filter method
Online Access:http://dspace.unimap.edu.my:80/dspace/handle/123456789/34170
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spelling my.unimap-341702014-05-02T07:56:37Z A study of a two phases medium in pipe vessel using gaussian filter method and k-NN classifier Mohd Rizal, Manan Muhammad Naufal, Mansor Ruzairi, Abdul Rahim Sazali, Yaacob, Prof. Dr. Mohd Hafiz, Fazalul Rahiman, Dr. rizalmanan@gmail.com s.yaacob@unimap.edu.my hafiz@unimap.edu.my Two phase level k-NN classifier Gaussian filter method Link to publisher's homepage at http://iospress.metapress.com In this paper we present the existence and uniqueness of solutions to the stochastic problem to determine two phase level of gas and water in the industrial pipe line. In order to distinguish the level phases in a vessel such as high, medium, and low a mechanism of Gaussian Filter Method was proposed in this study. The k-weights of the statistical features were adjusting by the k-NN Classifier and separate the categories for training from the various parameters. Within this study, 6 statistical used features were employed for training. In addition, a time-frequency parameter obtained by continuos signal was also used to identify the pulse during the recognition process. For the classification of all phase level, the average accuracy was higher than 90.0% for the whole data set. Finally, in order to provides the opportunity of obtaining quantitative and real time data on two phase media within a full scale industrial process, such as filtration, without the need of process interruption, tomography methods answer it all. 2014-04-29T05:02:16Z 2014-04-29T05:02:16Z 2013-07-03 Article Journal of Intelligent & Fuzzy Systems, vol.25 (3), 2013, pages 635-641 1064-1246 (Print) 1875-8967 (Online) http://dspace.unimap.edu.my:80/dspace/handle/123456789/34170 en IOS Press
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Two phase level
k-NN classifier
Gaussian filter method
spellingShingle Two phase level
k-NN classifier
Gaussian filter method
Mohd Rizal, Manan
Muhammad Naufal, Mansor
Ruzairi, Abdul Rahim
Sazali, Yaacob, Prof. Dr.
Mohd Hafiz, Fazalul Rahiman, Dr.
A study of a two phases medium in pipe vessel using gaussian filter method and k-NN classifier
description Link to publisher's homepage at http://iospress.metapress.com
author2 rizalmanan@gmail.com
author_facet rizalmanan@gmail.com
Mohd Rizal, Manan
Muhammad Naufal, Mansor
Ruzairi, Abdul Rahim
Sazali, Yaacob, Prof. Dr.
Mohd Hafiz, Fazalul Rahiman, Dr.
format Article
author Mohd Rizal, Manan
Muhammad Naufal, Mansor
Ruzairi, Abdul Rahim
Sazali, Yaacob, Prof. Dr.
Mohd Hafiz, Fazalul Rahiman, Dr.
author_sort Mohd Rizal, Manan
title A study of a two phases medium in pipe vessel using gaussian filter method and k-NN classifier
title_short A study of a two phases medium in pipe vessel using gaussian filter method and k-NN classifier
title_full A study of a two phases medium in pipe vessel using gaussian filter method and k-NN classifier
title_fullStr A study of a two phases medium in pipe vessel using gaussian filter method and k-NN classifier
title_full_unstemmed A study of a two phases medium in pipe vessel using gaussian filter method and k-NN classifier
title_sort study of a two phases medium in pipe vessel using gaussian filter method and k-nn classifier
publisher IOS Press
publishDate 2014
url http://dspace.unimap.edu.my:80/dspace/handle/123456789/34170
_version_ 1643796633900548096
score 13.222552

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