Development of the system to predict the absorption coefficient of the room acoustic using zernike moments

Abu Bakar, Mohamad Hafiz and Mahamad, Abd Kadir and Saon, Sharifah and Yahya, Musli Nizam and Zainudin, Fathin Liyana (2014) Development of the system to predict the absorption coefficient of the room acoustic using zernike moments. In: International Integrated Engineering Summit (IIES 2014), 1-4 December 2014, Universiti Tun Hussein Onn Malaysia, Johor.

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Abstract

The development of system to predict absorption coefficient using 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 for wall concrete, floors and ceilings. In this project, the modified Zernike moments of image processing is applied to extract image features and 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 GUI is employed 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, which its surface has never seen before. The results of predicting the absorption coefficient shown it 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:Conference or Workshop Item (Paper)
Uncontrolled Keywords:absorption coefficient; reverberation time; zernike moments; radial basic function(RBF); 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:6538
Deposited By:Mrs. Nurhayati Ali
Deposited On:02 Mar 2015 14:21
Last Modified:27 May 2015 16:17

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