Development of the system to predict the absorption coefficient of the classroom acoustic using modified Zernike moments and radial basic function (RBF)

Abu Bakar, Mohamad Hafiz and Zainudin, Fathin Liyana and Mahamad, Abd Kadir and Saon, Sharifah and Yahya, Musli Nizam (2016) Development of the system to predict the absorption coefficient of the classroom acoustic using modified Zernike moments and radial basic function (RBF). ARPN Journal of Engineering and Applied Sciences, 11 (20). pp. 11848-11851. ISSN 18196608

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Abstract

The development of a system to predict absorption coefficient using modified Zernike moments and Radial Basic Function (RBF) for classroom is a system based on the system developed using Matlab simulation. This project is designed to predict the absorption coefficient of the surface material and reverberation time in the classroom’s for wall concrete, floors and ceilings. In this project, the modified Zernike moments of image processing is applied to extract image features. RBF is used to identify the absorption coefficient of the material. For the reverberation time, Sabine equation is used to calculate the reverberation time for model dimension and reverberation time of the classroom at UTHM. In addition, Matlab Graphical User Interface (GUI) was developed in order to determine the effectiveness of this system. The proposed system has been trained with 200 samples of surface materials from 10 classrooms in UTHM. The system is tested with 30 samples of surface material images, in which the surface has never been tested using the system created before. The results of predicting the absorption coefficient can predict almost 90% accurately. To sum up, the developed system can predict the absorption coefficient and the reverberation time of classroom at UTHM.

Item Type:Article
Uncontrolled Keywords:Absorption coefficient; reverberation time; Zernike moments; radial basic function; sabine equation
Subjects:T Technology > TA Engineering (General). Civil engineering (General) > TA365-367 Acoustics in engineering. Acoustical engineering
Divisions:Faculty of Electrical and Electronic Engineering > Department of Computer Engineering
ID Code:8886
Deposited By:Mr. Mohammad Shaifulrip Ithnin
Deposited On:13 Aug 2018 11:32
Last Modified:13 Aug 2018 11:32

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