Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/12127
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dc.contributor.authorMohd Rizal, Manan-
dc.contributor.authorMuhammad Naufal, Mansor-
dc.contributor.authorMohd Hafiz Fazalul, Rahiman-
dc.contributor.authorSazali, Yaacob, Prof. Dr.-
dc.contributor.authorRuzairi, Abdul Rahim-
dc.date.accessioned2011-05-27T03:29:09Z-
dc.date.available2011-05-27T03:29:09Z-
dc.date.issued2011-03-
dc.identifier.citationInternational of Research and Reviews in Artificial Intelligence, vol.1(1), 2011, pages 28-30en_US
dc.identifier.issn2046-5122-
dc.identifier.urihttp://www.sciacademypublisher.com/journals/index.php/IJRRAI/article/view/51-
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/12127-
dc.descriptionLink to publisher's homepage at http://www.sciacademypublisher.com/en_US
dc.description.abstractThis paper describes the different ultrasonic tomography for multiphase flow such as liquid/gas flow which commonly found in chemical columns and industrial pipelines. The information obtained through this research has proven to be useful for further development of ultrasonic tomography. This includes acquiring and processing ultrasonic signals from the transducers to obtain the information of the spatial distributions of liquid and gas in an experimental column. A k-NN analysis on the transducers’ signals has been carried out to distinguish between the observation time and the Lamb waves. The information obtained from the observation time is finally used to classify the heterogeneous phase between liquid and gas. It is found that the detection rate reaches 96.67%.en_US
dc.language.isoenen_US
dc.publisherScience Academy Publisheren_US
dc.subjectQuantifying schemeen_US
dc.subjectHeterogeneous phaseen_US
dc.subjectPipelineen_US
dc.subjectk-NN classifieren_US
dc.subjectUltrasonic tomographyen_US
dc.subjectLiquid and gas flowen_US
dc.titleQuantifying scheme for detection heterogeneous phase in a pipe vesselen_US
dc.typeArticleen_US
dc.contributor.urlrizalmanan@gmail.comen_US
Appears in Collections:School of Mechatronic Engineering (Articles)
Sazali Yaacob, Prof. Dr.
Mohd Hafiz Fazalul Rahiman, Associate Professor Ir.Dr.

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