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Acoustic characteristic of bio-composite micro-perforated panel (BC-MPP) backed with natural fiber
Faridah Wahab,Tan Wei Hong,Mohamad Haziman Mohamad Azhar,Nor Hafizul Hilni Abdul Rahman 대한기계학회 2023 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.37 No.11
We investigated the sound absorption properties of a bio-composite microperforated panel (BC-MPP) with a combination of backed-structure and several types of natural fibers such as loofah, kapok, and coconut coir. The sound absorption coefficient (SAC) of different combinations of natural fibers samples was obtained by using a two-microphone impedance tube. In addition, three models, including Delany-Bazley model, Maa theory, and electroacoustical analogy, were employed to estimate the SAC value of natural fiber, BC-MPP, and BC-MPP with a backed structure, respectively. The experimental results demonstrate that the SAC value was increased to almost 0.99 as compared to BC-MPP alone when natural fiber was introduced at the back of BC-MPP either by insertion in the hole of backed structure or attached directly at the back of BC-MPP. The SAC peak also shifted to a lower frequency bandwidth with the highest peak obtained at 930 Hz, 800 Hz and 640 Hz for MPP with coconut husk, BC-MPP with kapok and BC-MPP with loofah, respectively. The absorption frequency was also observed slightly wider than BC-MPP without natural fiber. In comparison of BC-MPP with loofah and BC-MPP with others natural fibers, the insertion of kapok and coconut coir in the hole of backed structure provides a wider effective sound absorption coefficient. The comparison of experimental result with the theoretical calculation shows that the SAC obtained from experiment provides higher SAC value over the theoretical model for both BC-MPP and BCMPP backed structure.
Azwarfarid Manca,Faridah Mohamad,Amirrudin Ahmad,Muhd Fawwaz Afham Mohd Sofa,Noraznawati Ismail 국립중앙과학관 2017 Journal of Asia-Pacific Biodiversity Vol.10 No.3
The dwindling number of the tri-spine horseshoe crab, Tachypleus tridentatus has been reported globally and its status in Malaysia is not much known. Study on dimorphism in adult body sizes and population size estimation were conducted using capture–mark–recapture method of adult T. tridentatus in Tawau, Sabah. Camry the estimated population sizes of T. tridentatus ranged from 182 to 1095 with 95% confident limits of 56–42,942 individuals (Schnabel formula). The multivariate discriminant Hotelling’s T2 test verifies the sexual size dimorphism among the adult T. tridentatus with 97.7% separation among sexes (Hotelling’s T2 = 778.49, F = 152.85, p < 0.001) with females being larger and heavier than the male individuals. The number estimated from the study is the first reported for T. tridentatus in Malaysia, particularly in Sabah. Even though this number may slightly overestimate the actual population size in the area owing to the low number of individuals recaptured, for now it could serve as baseline data for horseshoe crab management purpose.
Abdelnasser Ibrahim,Aspalilah Alias,Faridah Mohd Nor1,Mohamed Swarhib,Siti Noorain Abu Bakar,Srijit Das,Nurliza Abdullah,Mohamad Helmee Mohamad Noor 대한해부학회 2019 Anatomy & Cell Biology Vol.52 No.2
Erratum for the article "Study of sexual dimorphism of Malaysian crania: an important step in identification of the skeletal remains" 9Anat Cell Biol. 2017 Jun;50(2):86-92. https://doi.org/10.5115/acb.2017.50.2.86)
Power Peaking Factor Prediction using ANFIS Method
Nur Syazwani Mohd Ali,Khaidzir Hamzah,Faridah Idris,Nor Afifah Basri,Muhammad Syahir Sarkawi,Muhammad Arif Sazali,Hairie Rabir,Mohamad Sabri Minhat,Jasman Zainal 한국원자력학회 2022 Nuclear Engineering and Technology Vol.54 No.2
Power peaking factors (PPF) is an important parameter for safe and efficient reactor operation. There areseveral methods to calculate the PPF at TRIGA research reactors such as MCNP and TRIGLAV codes. However, these methods are time-consuming and required high specifications of a computer system. Toovercome these limitations, artificial intelligence was introduced for parameter prediction. Previousstudies applied the neural network method to predict the PPF, but the publications using the ANFISmethod are not well developed yet. In this paper, the prediction of PPF using the ANFIS was conducted. Two input variables, control rod position, and neutron flux were collected while the PPF was calculatedusing TRIGLAV code as the data output. These input-output datasets were used for ANFIS model generation, training, and testing. In this study, four ANFIS model with two types of input space partitioningmethods shows good predictive performances with R2 values in the range of 96%e97%, reveals the strongrelationship between the predicted and actual PPF values. The RMSE calculated also near zero. From thisstatistical analysis, it is proven that the ANFIS could predict the PPF accurately and can be used as analternative method to develop a real-time monitoring system at TRIGA research reactors.