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Frequency response function (FRF) and modal parameters including the natural frequency, damping ratio and mode shapes need to be studied in order to aid the monitoring process as well as to avoid the resonance to the structure. This is important since these measurements will be used as reference for any operational methods for the dam structure. This paper will discuss the structural dynamic analysis of one of the dam available in Malaysia which is Kenyir Dam (Sultan Mahmud Power Station) in Terengganu. The study has been conducted on the spillway section of the dam structure. The CAD model of the structure has been designed based on real size structure (1:1 scale) with the consideration of real build-in materials. A finite element (FE) model of the structure is then constructed in ANSYS Workbench software to run the analysis. Meshing sensitivity analysis has been conducted and the boundary condition has been set before performing the analysis. 30 natural frequencies have been determined and 6 most significant mode shapes are chosen to be discussed in this paper. For the FRF, all three axes, x, y and z-direction have the same dominant natural frequency value of 19.6 Hz, where the highest deflection occurred at z-direction with 6.795 x 10−4 m. [ABSTRACT FROM AUTHOR]

Missing values either in predictor or in response variables are a very common problem in statistics and data mining. Cases with missing values are often ignored which results in loss of information and possible bias. The objectives of our research were to investigate the sensitivity of missing data in classification tree model for large sample. Data were obtained from one of the high level educational institutions in Malaysia. Students' background data were randomly eliminated and classification tree was used to predict students degree classification. The results showed that for large sample, the structure of the classification tree was sensitive to missing values especially for sample contains more than ten percent missing values. [ABSTRACT FROM AUTHOR]