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العنوان
parallel processing system for radiation monitoring network \
المؤلف
khattab, abd alla mohamed abd el hady.
هيئة الاعداد
باحث / khattab, abd alla mohamed abd el hady.
مشرف / Amr M.abd El salam
مناقش / Nabil M. A. Ayad
مناقش / Fayza A. Mohamed
الموضوع
Engineering and Computer Science.
تاريخ النشر
2001.
عدد الصفحات
97 p. :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
الهندسة
تاريخ الإجازة
1/1/2001
مكان الإجازة
جامعة المنوفية - كلية الهندسة - Department of Computer Science And Engineering
الفهرس
Only 14 pages are availabe for public view

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Abstract

The parallel processing computers are mainly used to obtain high speed in scientific and engineering applications.
These applications perform complicated arithmetic operations which are repeated on large quantities of data such as in simulation and modeling.
Also, parallel processing is used to process data that is inputted to the computer from different places at the same time.
This data can not be handled efficiently by the sequential computer with one processor.
For these reasons, the study investigated the possibility of using parallel processing in the radiation monitoring network instead of using a huge computer with a single processor.
This network is used to monitor the radiation status on the boarders and inside the country with radiation monitoring stations that are spread throughout the republic and sending its data through the telephone lines to the central computer.
A Parallel Radiation Monitoring Network System 1 (PRMNS1) is simulated for the existing system by using the software package PSIM that can simulate up to 16 processors.
The results of this simulation showed the benefits of using parallel processing as compared to the sequential computer system.
To fully utilize the high speed of the parallel processing computer, a second configuration network PRMNS2 is also proposed .
This system can perform new vital jobs such as determining the types of the substance that causes the radiation pollution and determining its concentration.
An algorithm was implemented and the proposed suitable parallel hardware is determined for the suggested network system.
The PSIM software is used again for investigation, and the results indicated that the best performance is obtained, the speedup is increased, and the possibility of reading more than one station at the same time is fulfilled through the use of parallel processing.