Now showing items 1-4 of 4

    • The classification of material mechanical properties using non-destructive vibration technique 

      Intan Maisarah, Abd Rahim; Fauziah, Mat; Sazali, Yaacob, Prof. Dr.; Rakhmad, Arief Siregar (Institute of Electrical and Electronics Engineers (IEEE), 2011-03-04)
      This study is to develop a system of a non-destructive testing on the material to define the mechanical properties of material. The study focused on experimental and testing of the material mechanical properties using ...
    • Classifying material type and mechanical properties using artificial neural network 

      Intan Maisarah, Abd Rahim; Fauziah, Mat; Sazali, Yaacob, Prof. Dr.; Rakhmad Arief, Siregar (Institute of Electrical and Electronics Engineers (IEEE), 2011-03-04)
      This paper focused on experimental data and study for the testing of the material mechanical properties using vibration technique. By applying vibration analysis and testing on the material, we could determine the natural ...
    • Comparison of classifying the material mechanical properties by using k-Nearest Neighbor and Neural Network Backpropagation 

      Intan Maisarah, Abd Rahim; Fauziah, Mat; Sazali, Yaacob, Prof. Dr. (Science Academy, 2011-03)
      This paper present a development of a system with non-destructive testing on the material to define the mechanical properties of material. The experimental and testing of the material mechanical properties using vibration ...
    • Design consideration for front-end system in ultrasonic tomography 

      Nor Muzakkir, Nor Ayob; Muhammad Jaysuman, Pusppanathan; Ruzairi, Abdul Rahim, Prof. Dr. ; Mohd Hafiz, Fazalul Rahiman, Dr.; Fazlul Rahman, Mohd Yunus; Salinda, Buyamin, Dr.; Intan Maisarah, Abd Rahim; Yusri, Md. Yunos, Dr. (Penerbit UTM Press, 2013)
      The hardware development of the ultrasonic tomography comprises three main parts; the sensor unit, electronic measurement circuits combined with a data acquisition system and finally the display unit. The research done is ...