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. وائل صالح محمد أبوغريس

د. وائل صالح أبوغريس هو احد اعضاء هيئة التدريس بقسم بقسم الهندسة الكهربائية والإلكترونية بكلية الهندسة. يعمل د. وائل صالح أبوغريس بجامعة طرابلس كأستأذ مساعد منذ 5 مارس 2017 وله العديد من المنشورات العلمية في مجال تخصصه.

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

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

Traffic Analysis of Cellular Network with Voice and Data Services

The introduction of new services with different bandwidth requirements, e.g., data and multimedia, to cellular mobile radio networks makes many of the traditional mechanisms unusable or less efficient. The call admission control and the handover handling are the most sensitive issues to this extension. The performance of all services including the traditional voice and the new services can be dramatically effected if no appropriate schemes are used. In this research work, a new call admission and handover handling schemes for a cellular mobile network that offers two service types: voice and data is proposed. The data connections are assumed to be transmitted at different data rates, which are an integer multiple to that of one traffic channels, which are full speed(Cd1) & reduced peed(Cd2). In order to reduce the handover failure probability of data connections, the data mobile terminals (MT) are assumed to have the capability of transmitting at two different data rates. If the handover request can not be satisfied by the base station of the destination cell due to unavailable free traffic channels, the data mobile terminals tries with a lower data rate. The handover fails if the network is incapable on providing the minimum data rate at which the mobile terminal can transmit. The reduced data connection or data rate can be speeded up to full data rate or full speed as soon as enough bandwidth is available. The effect of different traffic and configuration parameters on the performance of the different models for two cell model with equal input traffic intensity, two cell model with different input traffic intensity, and two cell model with equal input traffic intensity considering the congestion rate for the highway model are studied as the models of this research. These models are built using MOSEL language (Modeling Specification and Evaluation Language). The results of investigating the mentioned models showed the effect of the handover, and speed of data on these different models.
W. ABUGHRES(1-2000)
Publisher's website