Skip Navigation Links Home : MemberDetails
Name : Izzeddin Ahmad Matar

Academic Rank: Lecturer

Administrative Position : Faculty Academic Member

Office 7310       Ext No 7310

Email :

Specialization: Software Engineering

Graduate Of: Colorado Technical University






    Colorado Technical University
    United States of America

  • Journal Paper

      Adnan Mukattash, Sah, " Optimal Computerized Model for Designing Cellular Manufacturing Systems using Neural Network " , "Journal of Applied Sciences",Vol.11,No.1812-5654, Asian Network for Scientific Information, Pakistan, 07/01/2011 Abstract:
      Abstract: In this study, a computerized model has been developed to obtain the optimal distribution of the machines on three cells based on Artificial Neural Network (ANN's). These networks rely on the historical input-output data to learn input output implicit mapping. They are trained using back propagation algorithm. Comparing the results with those in the literature, it has been proved that the artificial neural network is superior in finding all the possible optimal solution (s) since it gives the minimum sum of voids and/or exceptions for all the possible ways of forming three cells from n machines. Taking all the possible ways of forming the cells is of great advantage since; it will provide the designer with more flexibility. An important feature of the optimization model is that it finds the solution fast regardless the number of machines and parts. The distinct superiority of the proposed model is that, machine cells and part families are identified and done concurrently which will decrease the computational time. Results are verified with the aid of computer simulation.

  • Conference paper

      Sahar Idwan, Salamh , " BUILDING HAND ACTIVITIES APPLICATION FOR CEREBRAL PALSY CHILDREN " , "5th global conference of power control and optimization",Vol.,No., PCO Global, Dubai, UAE, 06/01/2011 Abstract:
      In this paper, we present an algorithm (CP_Hand_Activity) used to build an application that utilizes touch screen interface to help cerebral palsy (CP) children to develop and upgrade simple hand activities to reach more complicated functional activities which they can use in their daily lives. Our algorithm consists of four stages each with different number of levels; the CP's children should be able to finish these stages sequentially and in a specific amount of time until they are able to draw alphabet letter by using the electronic pen on the touch screen. All information attained from the algorithm such as time to complete stage, number of successes and failures are recorded in a separate database which is used to monitor the advancement of each case by their therapist.
  • Event Calendar
    <October 2016>