Direct piercing carved wood panels (DPCWP) have been used as part of the wall panel for mosques in this country. Among the earliest used of DPCWP is as in Masjid Sultan Zainal Abidin in 1700s, Kuala Terengganu, Terengganu. It is envisage, the use of DPCWP is to help in achieving good speech intelligibility inside. This is considering DPCWP allowing sound waves to pass through, hence sound reflection to the main prayer is contain. Minimizing sound reflection toward the mosque main area, ensuring optimization of speech intelligibility. DPCWP has the ability to allow sound waves to pass through the panel. This qualifies DPCWP as sound absorber material. This as Sabine, Kutruff and Maekawa definition of sound absorption coefficient. In this paper the sound absorption coefficient of DPCWP with uniform geometric patterns are discussed. The perforation ratios are 31% and 37%. Numerical experiments were conducted using Boundary Element Method (BEM). The measured results were obtained using sound intensity measurements technique. Comparison of sound absorption coefficient obtained through numerical experiment and measured using sound intensity are discussed in details. Analysis of resonance frequencies due to types and sizes of apertures in relation to sound absorption coefficient also highlighted. The measured and numerical results suggest, DPCWP of uniform geometric patterns indeed able to act as good sound absorber. This finding allows DPCWP to be used as sound absorber more effectively in future mosque construction.

Almost all of the speech intelligibility (SI) assessors today are from the West. The words used in the development of these SI assessors are mainly English. However, recent finding has found that word components that contribute to intelligibility of speech is different from one language to another. The purpose of this study is to determine Bahasa Melayu (BM) word list from Friday sermon transcripts. The project was undertaken by deriving BM words spoken during 52 Friday sermons read in mosques in Wilayah Persekutuan Kuala Lumpur. PHP is the programming language used to compute the frequency of words appears in the Friday sermon transcripts. These words were then stored into a database. The database used is MySQL. It has been found that the highest number of repeated word is 2509. The list is then truncated so that the numbers of repeated words range from 52 to 2509 times. The frequency of Bahasa Melayu words used in Friday sermons is an initial and important inventory that can be used in the development of SI assessor using BM words.

<a name="OLE_LINK39"></a><span>The sound at the same decibel (dB) level may be perceived either as annoying noise or as pleasant music. Therefore, it is necessary to go beyond the state-of-the-art approaches that measure only the dB level and also identify the type of the sound especially when the sound is recorded using a microphone. This paper presented a case study that considers the ability of machine learning models to identify sources of environmental noise in urban areas and compares the sound levels with the recommended levels by the World Health Organization (WHO). The approach was evaluated with a </span><a name="OLE_LINK3"></a><span>dataset </span><span>of 44 sound samples grouped in four sound classes that are highway, railway, lawnmowers, and birds. We used mel-frequency cepstral coefficients for feature extraction and supervised algorithms that are Support vector machine (SVM), k-nearest neighbors (KNN), <a name="OLE_LINK22"></a>bootstrap aggregation (Bagging), and random forest (RF) for noise classification. We evaluated performance of the four algorithms to determine the best one for the classification of sound samples in the data set under consideration. The findings showed that the noise classification accuracy is in the range of 95%</span><span>-100%. Furthermore, all the captured data exceeded the recommended levels by WHO which can cause adverse health effects.</span>

Malaysia is a country which has one of the biggest Muslim societies in the world, followed by a large number of mosques scattered in various places and these mosques have maintenance problems especially in energy consumption. Mosques normally experience sudden influx of users at five specified times throughout the day, and the use of the fans in the mosques is very inefficient and wasteful, corresponding with the five daily Islamic prayers. Regarding this matter, this project is conducted in order to reduce mosque energy consumption by developing smart mosque temperature control. The temperature control aims to focus on reading the temperature of mosque and then smartly controls fan according to the temperature reading by applying Internet-of-Things (IoT). The Arduino Uno controller board will read and process the sensors to trigger the fan switch. The act of controlling the fan according to the ambient temperature of the mosques will help to reduce power consumption. The smart mosque temperature control can be applied widely in Malaysia to make mosques smarter and efficient in energy consumption.

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