قسم الهندسة الكهربائية والالكترونية

المزيد ...

حول قسم الهندسة الكهربائية والالكترونية

قسم الهندسة الكهربائية والإلكترثونية من أقدم وأهم أقسام كلية الهندسة بجامعة طرابلس حيث تم إنشاؤه مع إنشاء الكلية في عام 1961 م.  وقد شهد القسم خلال السنوات الأخيرة تطورات ملحوظة تمثلت في

تحديث محتويات المقررات وشملت هذه التطورات أيضا تحديثا في تجهيزات معامل القسم. ويتولى تسيير البرنامج العلمي والبحثي  بالقسم أكثر من 40 عضو هيئة تدريس في  تخصصات مختلفة. القسم يحوي عدد

من التخصصات الحيوية والمتطورة مثل الاتصالات والإلكترونيات والكهرومغناطيسيات والقوى والآلات الكهربائية والتحكم الآلي  والأتمتة والحاسوب.

حقائق حول قسم الهندسة الكهربائية والالكترونية

نفتخر بما نقدمه للمجتمع والعالم

48

المنشورات العلمية

43

هيئة التدريس

1292

الطلبة

0

الخريجون

البرامج الدراسية

بكالوريوس في هندسة الاتصالات والالكترونيات
تخصص هندسة الاتصالات والالكترونيات

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التفاصيل
بكالوريوس في هندسة التحكم و الأتمتة
تخصص هندسة التحكم و الأتمتة

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التفاصيل

من يعمل بـقسم الهندسة الكهربائية والالكترونية

يوجد بـقسم الهندسة الكهربائية والالكترونية أكثر من 43 عضو هيئة تدريس

staff photo

د. نبيل عبدالفتاح محمد النعاس

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

منشورات مختارة

بعض المنشورات التي تم نشرها في قسم الهندسة الكهربائية والالكترونية

Machine Learning Models for Predicting the Quality Factor of FSO Systems with Multiple Transceivers

Free space optical (FSO) communication is a promising solution to deliver the last mile communication and to guarantee a high data rate. However, the performance of FSO links can be significantly degraded by adverse weather conditions. Recently, machine learning algorithms (MLAs) have emerged for robust prediction to optimize the network performance. In this work, the Quality factor (Q) of FSO systems is estimated by means of four MLA models, namely, multi-linear regression, support vector regression, decision tree regression, and random forest regression. The synthetic data is used for training and testing these MLAs models, and several atmosphere conditions are considered with multiple transceivers FSO link system. The results of decision tree and random forest models demonstrated high coefficient of determination (R 2 ) and low mean square error (MSE) as compared to the other models.
Amal A. Algedir, Taissir Y. Elganimi(10-2020)
Publisher's website

Fast Detection Based on Customized Complex Valued Convolutional Neural Network for Generalized Spatial Modulation Systems

In this paper, a customized Auto-Encoder Complex Valued Convolutional Neural Network (AE-CV-CNN) that has been developed in a prior work is applied to Single Symbol Generalized Spatial Modulation (SS-GSM) scheme with new extracted features. The achieved reductions in the computational complexity at the receiver is at least 63.64% for M-PSK schemes compared to the complexity of Maximum Likelihood (ML) detection algorithm. This Fast detection algorithm is based on a proposed Low Complexity ML (LC-ML) detector that affords a complexity reduction of at least 40.91%. With these proposed algorithms, the complexity is reduced as the spatial constellation size increases. Furthermore, in comparison to other sub optimal detection algorithms, the computational complexity in terms of real valued multiplications of the AE-CV-CNN applied to LC-ML is independent of the spatial spectrum efficiency which means that the total spectrum efficiency increases with larger spatial constellation size at no additional complexity.
Akram A. Marseet , Taissir Y. Elganimi(10-2019)
Publisher's website

The Impact of Mixed Multirate ServicesOn Uplink Capacity -Coverage Product inWCDMA Mobile Networks

Abstract The number of mobile service users has been tremendously increased during the last few years, and the types of mobile services are developed from pure voice to data and multimedia services, such as audio/video streaming, e-mail, file transfer, and web browsing. These services have quite different requirements for their quality. 3G WCDMA cellular mobile networks answer this growing demand for these wireless data services. Then it needs to provide a huge capacity and wide area of coverage with acceptable quality of service. Capacity and coverage in WCDMA networks planning are the important issues because they are dependent of each other and related to the services data rate. In this thesis the capacity and coverage of mixed rate services are derived and analyzed. The uplink Capacity Coverage Product (CCP) of mixed rate services is developed by two methods, and three scenarios are assumed. The first method is the exact solution and the second method is the approximate solution. Math lap computer programs are used to get results and curves. Then some parameters affecting the mixed rate CCP are studied and a comparison between the two methods is also performed.The application of CCP in dimensioning and planning of a single service and mixed rate services WCDMA network is presented. A comparison with the conventional planning method is performed.
علي صالح منصور (2008)
Publisher's website