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

49

هيئة التدريس

1292

الطلبة

11769

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 49 عضو هيئة تدريس

staff photo

د. أسامة أحمد سعيد الكشريو

د. أسامة الكشريو حصل علي درجة البكالوريوس في هندسة الاتصالات والالكترونية من جامعة الزاوية, صبراتة, ليبيا, في سنة 2002 ودرجة الماجستير في هندسة الاتصالات من جامعة طرابلس ,طرابلس, ليبيا, في سنة 2006. في سنة 2013 تحصل علي درجة الدكتوراه في معالجة الاشارات والاتصالات من قسم الهندسة الكهربائية والكمبيوتر, جامعة بيتسبيرج, بنسيلفينيا, بيتسبيرج, الولايات المتحدة الامريكية. هو الان استاذ مساعد بقسم الهندسة الكهربائية والالكترونية, كلية الهندسة.

منشورات مختارة

بعض المنشورات التي تم نشرها في قسم الهندسة الكهربائية والالكترونية

Online Tuning Pole Placement Controller Based onDiscrete State-Space Technique

Abstract In wireless communication systems the data rate, capacity, coverage, and spectral efficiency; can be enhanced with multi-carrier transmission and multi-antenna, then the overall wireless communication system performance is greatly enhanced by combining OFDM and MIMO schemes, MIMO helps in increasing the throughput where as OFDM spreading out the frequency selective fading channel over many symbols. In this thesis evaluating performance of the system depends on both link and system levels, where the measure of performance is represented in the throughput, cell radius and the effective signal to interference plus noise ratio (SINR). It also depends on the employed capacity criterion and it takes into account the impact of adaptive modulation and coding. the worked scenarios start from a link level extending to a system level in 3GPP LTE. To achieve the above a number of tasks followed by observations are carried out. They start by analysis of the equations and a Matlab program is written to calculate the cell edge throughput, cell coverage and DL capacity. After the programs implementation, the multi antenna transmission effect is noted on the arrival throughput when taking into account the modulation technique. When increasing the order of the antenna and the throughput is also increased, but it must be traded off with the probability of error; Coverage has also improved by decreasing the order of the modulation technique. For the system level with different traffic, the overall throughput of the system and the capacity of the network are determined by the number of resource blocks (RBs). These RBs depend on the bit rate of the service and bit rate for each RB. The adopted scenarios in this thesis start from link to system, where the features are represented in a flexible base station and user configurations, channel modeling with path loss, user mobility, also at different transmitter and receiver (MIMO). The approaches are useful in single user and multi-user MIMO, then all of the above can be standardized by metrics: capacity, throughput, spectral efficiency, user QoS etc. Finally thesis conclusion and some future work as an extension of this work are presented.
احمد محمد التانزفتى (2013)
Publisher's website

A product form queuing model for a 3G cellular mobile network

In this paper, we present an analytical traffic model for the Universal Mobile Telecommunication Systems (UMTS). In 3G networks we have dynamic capacity that depends on the interference levels in the covered area and the number of active users. This implies that the distance of the mobile user from the base station is also an important factor because of the signal fading. The first part of this paper is an algorithm written in c++ programming language that distributes users in different zones assuming that the cell area is virtually divided into Z zones depending on the number of users. The last part of this paper we build a mathematical model of a 3G cell using the above assumption , and to prove, that the product form holds in the case of two cells with uniform and non uniform traffic. By this result more complicated networks can be analyzed, to calculate the performance measures of the network.
WAEL S. ABUGHRES, MIKE E. WOODWARD(6-2006)
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