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A practical system to predict the absorption coefficient, dimension and reverberation time of room using GLCM, DVP and neural network

Yahya, Musli Nizam and Otsuru, T. and Tomiku, R. and Okuzono, T. (2013) A practical system to predict the absorption coefficient, dimension and reverberation time of room using GLCM, DVP and neural network. In: International Conference on Mechanical Engineering Research (ICMER2013), 1-3 July 2013, Kuantan, Pahang.

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Abstract

In various prediction techniques of reverberation time such as Sabine and Eyring equation, ray-method, and numerical method require main parameters such absorption coefficient and dimensions. Normally, these parameters are obtained from references or/and measurements that necessitate special equipment and skills. On that matters, the authors have proposed a new practical technique to identify absorption coefficient and dimension of rooms. The technique comprises Subsystem_1 and Subsystem_2, each of which uses photographic images. Subsystem_1 uses a Gray Level Co-occurrence Matrix (GLCM) and integrate with Neural Network (NN) to identify the absorption coefficient of material. While, Subsystem_2 uses Dimension Vision Predictor (DVP) with the author’s “ruler method” to identify the dimensions. Examinations conducted in practical rooms revealed good correlation coefficient of r ≥ 0.90 for Subsystem_1 and r ≥ 0.99 for Subsystem_2. Finally, the System using NN gave inconsistent results, however, FEA revealed consistent results with r ≥ 0.8

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: neural network; gray level co-occurrence matrix (GLCM); photographic image; absorption coefficient; dimension; dimension vision predictor (DVP)
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA1501-1820 Applied optics. Photonics
Divisions: Faculty of Mechanical and Manufacturing Engineering > Department of Engineering Mechanics
Depositing User: Normajihan Abd. Rahman
Date Deposited: 01 Aug 2013 04:10
Last Modified: 21 Jan 2015 07:36
URI: http://eprints.uthm.edu.my/id/eprint/4055
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