Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/27377
Title: Adaptive boosting with SVM classifier for moving vehicle classification
Authors: Norasmadi, Abdul Rahim
Paulraj, Murugesa Pandiyan, Assoc. Prof. Dr.
Abdul Hamid, Adom, Prof. Dr.
norasmadi@unimap.edu.my
Keywords: Moving vehicle
Adaptive boosting
Support vector machine
One-third-octave
Issue Date: 20-Nov-2012
Publisher: Malaysian Technical Universities Network (MTUN)
Citation: p. 179-184
Series/Report no.: Proceedings of the Malaysian Technical Universities Conference on Engineering and Technology (MUCET) 2012
Abstract: This 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.
Description: Malaysian 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.
URI: http://dspace.unimap.edu.my/123456789/27377
Appears in Collections:Conference Papers
Abdul Hamid Adom, Prof. Dr.
Paulraj Murugesa Pandiyan, Assoc. Prof. Dr.

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