University of Khartoum

January 2005 -Volume 51- Number 43

January 2005 -Volume 51- Number 43

 

Recent Submissions

  • محمد عبد الماجد, عصام; منير بدور, إلهام (Sudan Engineering Society.University of Khartoum., 2005-01)
  • Sadig Hassan, Saud (Sudan Engineering Society.University of Khartoum., 2005-01)
    This paper outlines and depicts three categories of assessment methods of passive thermal performance and perception. These methods are interrelated as subjective perception of comfort and the physical -thermal performance ...
  • Khair Mohammed Ali, Mohammed; Mohammed Masaad, Elshami (Sudan Engineering Society.University of Khartoum., 2005-01)
    Radiometric enhancement of remote sensor data is often necessary to enable satellite image to be seen easily for better interpre tations. Two main contrast enhancement methods can be performed to satellite sensor data: ...
  • Abdulkader Noman, Abdulla (Sudan Engineering Society.University of Khartoum., 2005-01)
    This study aims to describe the state of the art of both water harvesting and spate irrigation techniques in wadis. Also, it emphasizes the integrated development of water resources in wadi systems, through the application ...
  • M. Sharif, Sami; Harron AbdelKarim, Sayed (Sudan Engineering Society.University of Khartoum., 2005-01)
    This paper is discussing the design and implementation of embedded computer based control system for a banknote-numbering machine, “Numerota”. The design is based on the embedded system ELAN-104NC with windows CE preinstalled ...
  • Issa Aboud, Kais; Sleiman Ahmad, Ahmad (Sudan Engineering Society.University of Khartoum., 2005-01)
    In this paper, the purpose of the proposed model is to provide a good accuracy of the frequency dependent characteristics of the transformer.Using this model, the magnetizing and winding impedances are calculated. To ...
  • Sapuan, S.M.; Sharudin, A. (Sudan Engineering Society.University of Khartoum., 2005-01)
    A study of Malaysian polymeric-based composite industry is presented in this paper. In line with the government vision for the public to be familiar with polymeric composite industry, government has made bold steps to ...
  • M. A. El Sinnari, Adil; M. Sharif, Sami; M. Musaad, El Shami (Sudan Engineering Society.University of Khartoum., 2005-01)
    A General Regression Neural Network (iterative model) was trained and taught to predict land cover features obtained from remotely sensed data. Training patterns have been generated from bands 1 and 4 of the Landsat-7 ETM+ ...