Mohd Shukry Abdul Majid, Assoc. Prof. Ir. Dr.: Recent submissions
Now showing items 41-45 of 45
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Statistical time energy based damage detection in steel plates using artificial neural networks
(Institute of Electrical and Elctronics Engineering (IEEE), 2009-03-06)In this paper, a simple method for crack identification in steel plates based on statistical time energy is presented. A simple experimental procedure is also proposed to measure the vibration at different positions of a ... -
Damage detection in steel plates using artificial neural networks
(Institute of Electrical and Electronics Engineering (IEEE), 2009-06-04)In this paper, a simple method for crack identification in steel plates based on frame energy based Discrete Cosine Transformation (DCT) is presented. A simple experimental procedure is also proposed to measure the vibration ... -
Damage detection in steel plates using discrete cosine transformation techniques and artificial neural network
(Universiti Malaysia Perlis, 2009-10-11)In this paper, a simple method for crack identification in steel plates based on the Frame Energy based Discrete Cosine Transformation [DCT] moments is presented. A simple experimental procedure is also proposed to measure ... -
The effects of varying target hardness on ricochet angle
(American Institute of Physics, 2007-05-09)This project is a study on ricochet characteristics off wooden targets when fired upon by 22 calibre bolt action rifle. A series of experimental testing has been carried out on three different woods chosen to give range ... -
Prediction of Reverberation time in university classrooms using Neural Network
(Universiti Kebangsaan Malaysia, 2007)Reverberation time is fundamental to the study of the acoustics of an enclosed space. An important objective of architectural acoustics is to predict the reverberation time in an enclosed space. Reverberation time is also ...