dc.contributor.author | Mohd Rizal, Manan | |
dc.contributor.author | Muhammad Naufal, Mansor | |
dc.contributor.author | Mohd Hafiz Fazalul, Rahiman | |
dc.contributor.author | Sazali, Yaacob, Prof. Dr. | |
dc.contributor.author | Ruzairi, Abdul Rahim | |
dc.date.accessioned | 2011-05-27T03:29:09Z | |
dc.date.available | 2011-05-27T03:29:09Z | |
dc.date.issued | 2011-03 | |
dc.identifier.citation | International of Research and Reviews in Artificial Intelligence, vol.1(1), 2011, pages 28-30 | en_US |
dc.identifier.issn | 2046-5122 | |
dc.identifier.uri | http://www.sciacademypublisher.com/journals/index.php/IJRRAI/article/view/51 | |
dc.identifier.uri | http://dspace.unimap.edu.my/123456789/12127 | |
dc.description | Link to publisher's homepage at http://www.sciacademypublisher.com/ | en_US |
dc.description.abstract | This 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.iso | en | en_US |
dc.publisher | Science Academy Publisher | en_US |
dc.subject | Quantifying scheme | en_US |
dc.subject | Heterogeneous phase | en_US |
dc.subject | Pipeline | en_US |
dc.subject | k-NN classifier | en_US |
dc.subject | Ultrasonic tomography | en_US |
dc.subject | Liquid and gas flow | en_US |
dc.title | Quantifying scheme for detection heterogeneous phase in a pipe vessel | en_US |
dc.type | Article | en_US |
dc.contributor.url | rizalmanan@gmail.com | en_US |