Development of web application for agarwood oil quality discriminator in virtualization platform

Mohamad Aqib Haqmi, Abas and Nurul Shakila, Ahmad Zubir and Nurlaila Shazareen, Ismail and Nor Azah, Mohd Ali and Mohd Hezri, Fazalul Rahiman and Ihsan, Mohd Yassin and Saiful Nizam, Tajuddin and Mohd Nasir, Taib (2017) Development of web application for agarwood oil quality discriminator in virtualization platform. In: 13th IEEE International Colloquium on Signal Processing and its Applications, CSPA 2017 , 10 - 12 March 2017 , Parkroyal Penang Resort, Batu Ferringhi Beach, Penang. pp. 13-17. (8064916). ISBN 9781509011841

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Abstract

In recent years, the demand for agarwood oil has increased tremendously. Agarwood oil is being used widely in fragrance, incense and religious ceremony. The quality of agarwood oil will determine the price of the oil. However, there are some limitations on using standard approach to classify its quality as they are time consuming, expensive and the results is questionable. This paper presents on the development of web application on providing a proper classification platform to determine the quality of agarwood oil based on the sample that end user input. The main purpose of this web application is to provide a proper interface for end user to determine the quality of their agarwood oil without spending a lot of time and money. The whole web development is done inside Virtual Machine (VM) using VMWare Workstation Pro 12 as the virtualization platform. The web application is being construct using PHP programming language that runs on Apache Webserver. MySQL database is used to store and organize the data. Agarwood oil sample will be classified using Multi-Layer Perceptron (MLP) function inside MATLAB R2016a. The development carried out in this study is success and ready to be used for agarwood oil intelligent quality classification.

Item Type:	Conference or Workshop Item (Lecture)
Additional Information:	Indexed by Scopus
Uncontrolled Keywords:	Agarwood oil; Quality discrimination; Apache webserver; MLP
Subjects:	Q Science > QA Mathematics > QA76 Computer software Q Science > QD Chemistry T Technology > TP Chemical technology
Faculty/Division:	Faculty of Industrial Sciences And Technology
Depositing User:	Mrs Norsaini Abdul Samat
Date Deposited:	25 Nov 2020 03:41
Last Modified:	25 Nov 2020 03:41
URI:	http://umpir.ump.edu.my/id/eprint/28969
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