Department of Electrical and Electronic Engineering

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About Department of Electrical and Electronic Engineering

Facts about Department of Electrical and Electronic Engineering

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48

Publications

42

Academic Staff

1292

Students

0

Graduates

Programs

B. Sc. in Electronic and Communication Engineering
Major Electronic and Communication Engineering

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B. Sc. in Control and Automation Engineering
Major Control and Automation Engineering

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Who works at the Department of Electrical and Electronic Engineering

Department of Electrical and Electronic Engineering has more than 42 academic staff members

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Dr. Nabil Abdulfattah Mohamed Naas

نبيل النعاس هو احد اعضاء هيئة التدريس بقسم الهندسة الكهربائية والالكترونية بكلية الهندسة. يعمل السيد نبيل النعاس بجامعة طرابلس كـأستاذ مشارك منذ 2008-08-01 وله العديد من المنشورات العلمية في مجال تخصصه

Publications

Some of publications in Department of Electrical and Electronic Engineering

Image compression using adaptive multiresolution image decomposition algorithm

With the growth of modern digital technologies, demand for transmission multimedia and digital images, which require more storage space and transmission bandwidth, has been increased rapidly. Hence, developing new image compression techniques for reducing data size without degrading the quality of the image, has gained a lot of interest recently. In this study, an adaptive multiresolution image decomposition (AMID) algorithm is proposed and its application for image compression is explored. The developed algorithm is capable of decomposing an image along the vertical, horizontal, and diagonal directions using the pyramidal multiresolution scheme. Compared to the wavelet transform, the AMID can be used for decimation with the guarantees of perfect signal reconstruction. Furthermore, the application of the AMID for image compression is explored and its performance is compared with the state-of-the-art image compression techniques. The performance of compression method is evaluated using peak signal-to-noise ratio and compression ratio. Experimental results have shown promising performance compared with the results of using other image compression approaches
Osama A. Alkishriwo(9-2020)
Publisher's website

The effect of Gamma Rays radiation on silicon solar cells

Experimental investigation has been carried out to study the effect og gamma ray radiations on silicon solar cells. The measured experimental data are compared with the theoretical results obtained by computer simulation programs before and after radiation. P-N junction silicon cell samples were used for the study showing degradation behavior for the output power and the short circuit current with less effect on the open circuit voltage as the radiation doses increases. Enhanced series resistance was added to the solar cell model due to deformation of I –V characteristics resulting from gamma ray radiations. Wide spread spectrum of doses were employed to study the effect of the radiation on the crystal deformation and damages on different parameters of solar cells. Study reveals an improvement in the output power and short circuit current due to post annealing effect of gamma ray radiations. The conclusion consist of suggestions to protect the solar cells in space satellites.
W. ABUGHRES, M. EL-MURADI, H. EL-FITOURI(9-1992)
Publisher's website

Comparative Study and Evaluation for Application of Artificial Neural Network and Conventional Controller for Dc-Motor

Abstract The DC motor drives one of the high performance drives that still in competition in industrial application, because of its high performance, robustness, and its lower cost compared with AC motor drives.Due to its majority applications, the separately excited DC motor driver is studied. In order to improve, three independent controller design using classical proportional - integral – derivative, linear quadratic regulator and artificial neural network are considered.The Performance of these controllers has been verified through simulation based on MATLAB/SIMULINK software tools. According to the obtained simulation results, it is found that, an artificial neural network can achieve a better transient and steady state response in comparing to the other two design method. Consequently, the superiority of ANN controller over conventional proportional - integral – derivative is demonstrated this shows the superiority of artificial neural network controller over conventional and linear quadratic regulator controllers.
.زينب إبراهيم علي (2014)
Publisher's website