Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/27377
Full metadata record
DC FieldValueLanguage
dc.contributor.authorNorasmadi, Abdul Rahim-
dc.contributor.authorPaulraj, Murugesa Pandiyan, Assoc. Prof. Dr.-
dc.contributor.authorAbdul Hamid, Adom, Prof. Dr.-
dc.date.accessioned2013-08-05T01:46:13Z-
dc.date.available2013-08-05T01:46:13Z-
dc.date.issued2012-11-20-
dc.identifier.citationp. 179-184en_US
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/27377-
dc.descriptionMalaysian Technical Universities Conference on Engineering and Technology (MUCET) 2012 organised by technical universities under the Malaysian Technical Universities Network (MTUN), 20th - 21st November 2012 at Hotel Seri Malaysia, Kangar, Perlis, Malaysia.en_US
dc.description.abstractThis study examines co-solvent modified supercritical carbon dioxide (SC-CO2) to extract the saturated fatty acids from palm oil. The applied pressure was ranging from 60 to 180 bar and the extraction temperatures were 313.15 and 353.15 K. The knowledge of the phase equilibrium is one of the most important factors to study the design of extraction processes controlled by the equilibrium. The objective of this work is the assessment of the feasibility studies of phase equilibrium mutual solubility process utilizing supercritical carbon dioxide. A thermodynamic model based on the universal functional activity coefficient (UNIFAC) used to predict the activity coefficients’ expression for the system carbon dioxide/fatty acid. The parameters such as adsorption, diffusion, solubility, and desorption were determined using mass transfer modeling.en_US
dc.language.isoenen_US
dc.publisherMalaysian Technical Universities Network (MTUN)en_US
dc.relation.ispartofseriesProceedings of the Malaysian Technical Universities Conference on Engineering and Technology (MUCET) 2012en_US
dc.subjectMoving vehicleen_US
dc.subjectAdaptive boostingen_US
dc.subjectSupport vector machineen_US
dc.subjectOne-third-octaveen_US
dc.titleAdaptive boosting with SVM classifier for moving vehicle classificationen_US
dc.typeWorking Paperen_US
dc.contributor.urlnorasmadi@unimap.edu.myen_US
Appears in Collections:Conference Papers
Abdul Hamid Adom, Prof. Dr.
Paulraj Murugesa Pandiyan, Assoc. Prof. Dr.

Files in This Item:
File Description SizeFormat 
EEE 31.pdfAccess is limited to UniMAP community298.98 kBAdobe PDFView/Open


Items in UniMAP Library Digital Repository are protected by copyright, with all rights reserved, unless otherwise indicated.