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

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42

Academic Staff

1292

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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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Mr. Taissir Youssef Salem Elganimi

Taissir Y. Elganimi was born in Tripoli, Libya, in 1988. He received his B.Sc. degree in Electronics and Communication Engineering from Department of Electrical and Electronic Engineering at University of Tripoli, Libya, in 2010, and his MSc degree in Wireless Communications (with distinction) from University of Southampton, UK, in 2015. He is currently working as a lecturer in Department of Electrical and Electronic Engineering at University of Tripoli, Libya. Taissir serves as a technical reviewer for several IEEE transaction journals, and has been a member of Technical Program Committees (TPC) for several IEEE conferences such as ICC, WCNC, GLOBECOM, etc. He is also an IEEE senior member. His research interests mainly include multi-functional MIMO, space modulation techniques, multidimensional index modulation, optical communications, millimeter-wave massive MIMO communications, and reconfigurable intelligent surface-assisted MIMO systems for 6G communications

Publications

Some of publications in Department of Electrical and Electronic Engineering

Study And Simulation Of Qostbc In 16 X 16 Mimo-Ofdm System With Faded Channels

من اهم المتطلبات الرئيسية للجيل القادم للاتصالات اللاسلكية وانظمة النقال هي تحقيق معدلات أعلى لنقل البيانات ، مع اقصي قدر من استخدام عرض النطاق الترددي . لذلك تعد تقنية هوائيات متعددة المداخل والمخارج وتقنية التضمين على اساس التجميع الترددي المتعامد هي مزيج لتقنية الاتصالات المستخدمة الان ، يمكن من خلالها ان نتحصل على ارسال خالي من الاخطاء وهذه احد الأهداف الرئيسية في الاتصالات اللاسلكية . مع الزيادة في تطبيقات الوسائط المتعددة ، والتي يتم من خلالها ارسال كمية كبيرة من البيانات عبر الاتصالات اللاسلكية. تقنية هوائيات متعددة المداخل والمخارج والتي تمكن من الحصول على ارسال خالي من الاخطاء يمكن تطبيقها على كل من المحطة المركزية (BS) وجهاز المستخدم مع تقنية الارسال والتشفير المناسبة ، كما ان هده تستفيد من التنوع المكاني التي يتم الحصول عليه عن طريق فصل الهوائيات مكانياً. ويعتبر مزيج تقنية هوائيات متعددة المداخل والمخارج وتقنية التضمين على اساس التجميع الترددي المتعامد حاليا واحده من التكنولوجيات الأكثر تنافسية للأنظمة اللاسلكية المتنقلة للجيل الرابع .حيث يمكن لتقنية هوائيات متعددة المداخل والمخارج ان توفر التنوع المكاني مع مساعدة تشفير وقت وفضاء ، وذلك عندما تكون معلومات القناة غير متاحة في جهة الارسال . وهناك أنواع مختلفة من تقنيات تشفير زمن ومكان ، وتشفير زمن وفضاء متعامد ، وتشفير زمن و فضاء شبه متعامد ،....الخ. التشفير شبه متعامد زمن وفضاء هو الأسلوب الأفضل من التقنيات الأخرى لأنه يوفر أكثر من غيرها من معدلات اعلى لنقل البيانات لنفس العدد من هوائيات الإرسال والاستقبال . في هذه الرسالة، نقترح الهيكل العام لتقنية (QOSTBC) مع هوائيات متعددة المداخل والمخارج وتقنية التضمين على اساس التجميع الترددي المتعامد لتركيبات الهوائيات 16X16. في هذا العمل البحثي سوف يتم تحليل التضمينات الاتية : 6-QAM 1 و 64-QAM على تقنية هوائيات متعددة المداخل والمخارج وتقنية التضمين على اساس التجميع الترددي المتعامد باستخدام قنوات ارسال جاوسيون و رايشين لغرض التحليل. وقد تم دراسة تأثير هذه القنوات على معدل الاخطاء عند ارتفاع معدلات البيانات بشي من التفاصيل ، وتم كتابة برنامج المحاكاة بلغة البرمجة ماتلاب لغرض هذا التحليل ومعرفة الأداء. كما تم مقارنة النتائج المتحصل عليها من النظام المشار اليه مع نتائج البحوث السابقة ذات العلاقة اتضح أنها أفضل اداء من الأنظمة الأخرى التي تم المقارنة بها.واخيراً تقديم ملاحظات ختامية علي النتائج والمحاكاة بالإضافة الى التوصيات التي سوف تكون كعمل يتم إنجازه في المستقبل في بحث اخر . Abstract In next generation wireless communication and mobile systems' main requirements are to achieve higher data rates , and maximum bandwidth utilization . For that Multiple-Input Multiple-Output (MIMO) - Orthogonal Frequency Division Multiplexing (OFDM) combination as communication technique is used now , which is an error free transmission as being one of the main aims in wireless communication [33] . With the increase in multimedia applications , large amount of data are being transmitted over wireless communication . The error free transmission is required more than ever and to achieve error free transmission multiple antennas can be implemented on both stations i.e. base station and user terminal with proper modulation scheme and coding technique. A MIMO system takes advantage of the spatial diversity that is obtained by spatially separated antennas in a dense multipath scattering environment. MIMO-OFDM combination system has been currently recognized as one of the most competitive technologies for 4G mobile wireless systems.MIMO system can provide the spatial diversity with the help of Space Time Coding , when no channel side information is available at the transmitter side[1]. There are different types of Space Time Coding techniques likely Alamouti Space Time Coding, Orthogonal Space Time Coding, Quasi Orthogonal Space Time Coding, etc. Quasi Orthogonal Space Time Coding technique is more preferable over other techniques because it provides more code rate than other Space Time Coding techniques for the same number of transmitting and receiving antennas[1].In this thesis, a general Quasi orthogonal space time block code (QOSTBC) structure is proposed for MIMO-OFDM systems in 16 X 16 antenna configuration.. In this work analysis of modulations such as ; 16-QAM and 64-QAM on MIMO-OFDM system is presented. Here AWGN and Rician channels have been used for analysis purpose . Their effect on BER for high data rates have been studied in details and a simulation program have been written in matlab language programming for the purpose of analysis and knowing the performance . The results of the indicated system are compared with other published results , and they show better performance than the other systems . Concluded remarks on the results and the simulation are given in addition to recommendation of further work to be completed as a future work.
جمال محمود الاسطى (2015)
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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

Database for Arabic Speech Commands Recognition

Technology is all around us and it’s changing rapidly, expanding Internet access has had huge impacts on everyday lives as people do everything on their phones and computers. The widespread growth in the use of digital computers, have an increasing need to be able to communicate with machines in a simpler manner. One of the main tasks that can simplify communication with machines is speech recognition. In this work, we introduce the Arabic speech commands database that contains six Arabic control order words and Arabic spoken digits. The created database is used to analyze and compare the recognition accuracy and performance of three recognition techniques which are, Wavelet Time Scattering feature extraction with Support Vector Machine (SVM) classifier, Wavelet Time Scattering feature extraction with Long Short-Term Memory (LSTM) classifier, and Mel-Frequency Cepstrum Coefficients (MFCC) feature extraction with K-Nearest Neighbor (KNN) classifier. Finally, the experimental results show that the most accurate prediction of the database commands was 98.1250% given by Wavelet Time Scattering feature extraction and LSTM classifier and the fastest training time for the database was 144 minutes given by MFCC and KNN classifier. arabic 5 English 42
Osama A. Alkishriwo, Lina Tarek Benamer(12-2020)
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