Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/27397
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dc.contributor.authorNorasmadi, Abdul Rahim-
dc.contributor.authorAbd Hamid, Adom, Prof. Dr.-
dc.contributor.authorPaulraj, Murugesa Pandian-
dc.date.accessioned2013-08-05T03:23:14Z-
dc.date.available2013-08-05T03:23:14Z-
dc.date.issued2013-
dc.identifier.citationProcedia Engineering, 2013, vol.53, pages 411–419en_US
dc.identifier.issn1877-7058-
dc.identifier.urihttp://www.sciencedirect.com/science/article/pii/S1877705813001732-
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/27397-
dc.descriptionLink to publisher's homepage at http://www.elsevier.com/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.publisherElsevier Ltden_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.typeArticleen_US
dc.contributor.urlnorasmadi@unimap.edu.myen_US
Appears in Collections:School of Mechatronic Engineering (Articles)
Abdul Hamid Adom, Prof. Dr.

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