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تحسين تخطيط المسار للروبوتات المتنقلة والمستقلة بالحركة باستخدام خوارزميات الامثلية القائمة على مبدا التجمعات == Improvement of Path Planning For Autonomous Mobile Robots Using Population - Based Optimization Algorithms

Author name: فرح مهدي علي
Supervisor name: نزار هادي عباس
Specific topic: Electrical Engineering
Degree: Master
Language: English
University location: Baghdad
First pages:
Abstract: Autonomous mobile robots are used in various applications such as dangerous regions. These applications demand robust and adaptable methods for path planning.Path planning optimization problem is a fundamental problem for robot navigation; its purpose is to find a collision - free path from the initial position to a target position. Many real - world optimization problems have become increasingly large, complex and dynamic, which require the development of methods and solutions whose efficiency ismeasured by their ability to find acceptable results within a reasonable amount of time.The Artificial Bee Colony (ABC) and Bacterial Foraging Optimization (BFO) algorithms are used for solving hard optimization problems, including path planning. BFO algorithm is a simple and powerful searching technique. On the other hand, Artificial Potential Field (APF) as a real time obstacle avoidance method is quite simple in theory, but it is easy to bring local minimum problem and failing to find a path in the narrow channel. Therefore, a method for hybridizing APF with BFO is introduced to make use of both methods' advantages. This thesis presents efficient and reliable four optimization algorithms to solve the path planning problem. The first two algorithms are developed based on ABC algorithm as global path planning; they specifically are modified version of ABC algorithm called Directed ABC (DABC) algorithm and a new fitness function added to ABC algorithm named Minimum Angles (MAABC) algorithm was developed. The other two algorithms were proposed based on BFO and APF algorithms as local path planning; they were namely improved versions of BFO algorithm with adaptive step size (ASBFO) algorithm and a proposed version of BFO algorithm with an adaptive tumble (ATBFO) algorithm.The developed algorithms were simulated using MATLAB R2011b package. The simulation results showed that these algorithms could find the shortest paths for even crowded environments. Moreover, these algorithmswere compared with other researchers’ work to evaluate their performance. Additionally, a comparison was made between the executing time of the proposed local path planning algorithms (ASBFO and ATBFO algorithms) and the real tracked military robot (e.g., Talon) to verify the capability of the proposed methods. Both algorithms achieved fast run time, approximately three times faster than Talon for complex environment, which made them practically efficient.

تصميم وتنفيذ منظومة مقاييس متوزعة ذكية == Design And Implementation of A Smart Distributed Metering System

Author name: مهند غازي خميس
Supervisor name: عدي عبد اللطيف عبد الرضا
Degree: Master
University: University of Baghdad
Language: English
University location: Baghdad
First pages:
Abstract: This work is concerned with designing and implementing a smart energy metering system that consists of two smart energy meters and a billing center. The designed smart energy meter is a single phase meter in which the amount of consumed energy is calculated using PIC18F45K22 (which is a Peripheral Interface Controller (PIC)) and utilizing ACS758 (which is a Hall - effect based liner current sensor Integrated Circuit (IC)).The amount of consumed energy is sent to the billing center (which is implemented by using a laptop) for issuing the bills. The billing center receives the consumption data and sends the switching commands by utilizing an external communication technology. After comparing various communication technologies, ZigBee is chosen for this work.Two smart energy meters are implemented to test various communication conditions, such as multi - hopping. The design of the two smart energy meters differ only in the ZigBee addresses in the network.The program for the PIC's in the smart meters is written with MikroC PRO V6.0.1, while the program for the laptop in the billing center is written with Visual BASIC 6.

تمثيل وتنفيذ العاكس ثلاثي الطور رباعي السيقان بواسطة طريقة المتجه الفضائي بتضمين عرض النبضة == Modeling And Implementation of Space Vector PWM Four - Leg Three Phase Inverter

Author name: لؤي كمال عبد القادر
Supervisor name: فاضل عباس مهدي القرملي
Specific topic: Electrical Engineering
Degree: Master
Language: English
University location: Baghdad
First pages:
Abstract: The thesis considers a three - phase four - leg inverter, which is used to supply unequal loads without using a transformer. In the literatures, a three - dimensional modulation technique, requiring complex mathematical algorithms were proposed for this kind of inverter. In this research a different approaches are discussed through two kinds of controller; first type is based on the separation control method of the fourth - leg of the inverter from the other phases for one type for modulation. This research applied to the three - phase inverter of the traditional SVM techniques avoiding the employment of complex procedures. The voltage modulation method based on a triangular carrier waveform for the three - phase four - leg voltage source converter. The four - leg converter can produce three - phase output voltages independently from the additional forth - leg. The proposed modulation method for the four - leg inverter is implemented with a single carrier by a simple useful “offset voltage” concept. The second type is equivalent to the so - called three - dimensional space vector PWM method, but its implementation is much easier. The simultaneously synthesized equations of the maximum magnitude of unbalanced three - phase voltage.The feasibility of the proposed modulation technique types verified by computer simulation and experimental results. These results show that both types of “Carrier - Based Pulse Width Modulation (PWM) technique” and “Three Dimensional Space Vector Modulation Technique” are easier implemented than conventional type by using microcontroller component (PIC16F874A/877A) instead of digital components (DSP & FPGA). So this thesis offers a prototype for this circuit with low cost and low harmonics, but with more complex control circuit.

طرائق الكشف للتضمين الترددي المتعامد للرابط النازل في نظام تطور طويل الامد (LTE) == Detection Methods For Ofdm Downlink In Long Term Evolution (LTE) System

Author name: اكرم جبار عبد الحسين حسن
Supervisor name: يمان اسماعيل مجيد
Degree: Master
University: University of Baghdad
Language: English
University location: Baghdad
First pages:
Abstract: GPP3 التطور على المدى الطويل (LTE) هو تقنية الجيل الرابع اللاسلكية ذات النطاق العريض. هدفه الرئيسي هو تعزيز الكفاءة الطيفية باستخدام تقنيات التضمين الترددي المتعامد بالتقسيم (OFDM). ومع ذلك، ياتي هذا التحسن في الاداء بزيادة التعقيد الحسابي في اجهزة الاستق | 3GPP Long Term Evolution (LTE) is the fourth generation mobile wireless broadband technology. Its key objective is to enhanced spectral efficiency by using Orthogonal Frequency Division Multiplexing (OFDM) techniques. However, this performance improvement comes at the cost of increased computational complexity in the receiver. The goal of this work is to introduce a detection method that gives a better performance with reasonable computational complexity for LTE mobile communication system. An approximated linear baseband model for the two modulation techniques used by the LTE system (which is the Quadrature Phase Shift Keying (QPSK) and sixteen - level Amplitude Modulation (16 - QAM)) have been derived. Three receivers have been simulated and tested. The three receivers use Least Square (LS) channel estimator. These receivers uses channel compensator, decision feedback equalizer and perturbation algorithm. The LTE communication system has been simulated using MATLAB®7 programming language. The results of the computer simulation show that the perturbation algorithm gives an enhancement in the receiver performance of about 2 dB in different mobile channels than decision feedback equalizer and about 5 dB than channel compensator at the 10 - 3 of BER.

بناء خوارزمية تزامن لانظمة (OFDM) باستخدام معالجة الاشارة الرقمية == Dsp - Based Synchronization Algorithm Implementation For OFDM System

Author name: رائد ستار جبر
Supervisor name: محمود عبد القادر عبد الستار
Degree: Master
Language: English
University location: Baghdad
First pages:
Abstract: تعدد الارسال للتردد بالتقسيم المتعامد (OFDM) هو مفتاح تمكين التكنولوجيا لمعظم انظمة الاتصالات اللاسلكية الحالية ذات معدل نقل البيانات العالي. والميزة الرئيسية للـ (OFDM) مقارنة بالطرق التقليدية هو انه يحول القناة ذات النطاق العريض الى قنوات فرعية ضيقة متو | Orthogonal Frequency Division Multiplexing (OFDM) is the key enabling technology for most current high data - rate wireless communication systems. The primary advantage of OFDM over conventional schemes is that it converts a wideband channel into parallel narrowband sub - channels allowing relatively simple channel estimation and frequency domain equalization. It is as an effective technique for coping with channel impairments like multipath propagation and Inter Symbol Interference (ISI) by making use of an appropriate cyclic prefix. One of the major drawbacks of OFDM is that it is more sensitive to synchronization errors than its single carrier counterparts. This thesis describes a real - time implementation of a timing and frequency synchronization for OFDM system using MATLAB software Simulink, DSP processor TMS320C6713 and Code Composer Studio (CCS). The hardware interface converts the baseband signal from the PC to the DSP Processor. Basic transmission and reception performances are evaluated in real time using Real Time data Transfer (RTDX). The practical results and performance evaluation of the synchronization algorithms in OFDM system is presented and discussed. The results are plotted for different offsets of CFO and STO with different values of signal to noise ratio. Also the bit error rate (BER) and the mean square error (MSE) of the system is analyzed. The results show that the time offset more effect than frequency offset because of ISI and ICI occurs when time offset occur in the system. The synchronization algorithm is found to be robust for both CFO and STO simultaneously. It can handle offset of about CFO = 500 Hz and STO = 14 samples simultaneously without wasting extra bandwidth. This algorithm used for synchronization more robust for 16QAM compared with 4QAM modulation.

الموقع الامثل للمعوض التزامني الثابث لشبكة الضغط الفائق العراقية باستخدام الخوارزمية الجينية == Optimal Location of Static Synchronous Compensator (STATCOM) For Iraqi National (400kV) Super High Voltage Grid Using Genetic Algorithm

Author name: حسن علي عبد المجيد سلبي البياتي
Supervisor name: Firas Mohammed Tuaimah
Specific topic: Electrical Engineering
Degree: Master
Language: English
University location: Baghdad
First pages:
Abstract: Transmission networks of modern power systems are becoming increasingly stressed because of the growing demand and restrictions on constructions new lines. One of the consequences of such a stressed system is the threat of losing stability following adisturbance. Flexible AC Transmission System (FACTS) devices are found to be very effective in a transmission network for better utilization of its existing facilities without sacrificing the desired stability margin.The Static Synchronous Compensator (STATCOM) is a shunt device which employs one of the latest technologies of FACTS and power electronic switching devices in electric power transmission systems to control the voltage and power flow. The STATCOMregulates the voltage at its terminal by controlling the amount of reactive power injected into or absorbed from the power system.Whilst the Iraqi National (400 kV) Super High Voltage Grid System suffers from voltage stability problems because of the high variation in the reactive power conditions all over the year seasons. Therefore, this thesis proposed an application of the STATCOM devices to maintain the voltages within the specified limits and enhancing voltage stability for all seasons in the year, as well as reducing the apparent power losses. And in order to reduce therequired installation cost of the STATCOM devices, this performance has been done by using minimum possible size of the reactive power injected or absorbed by the STATCOM devices, while satisfying the stability limits.The benefit of the STATCOM devices depends greatly on how these devices can be placed in the system. The general problem focused in this thesis was how to optimally determine the locations and the sizes of the STATCOM devices that to be installed. For thatreason, it was decided to follow an optimization approach such as a Genetic Algorithm (GA), which is one of the heuristic methods to find the optimum location and the value of installed STATCOM devices.The Newton - Raphson load flow method, with the proposed approach has been examined and tested first on the 5 - bus IEEE test system; the results obtained encouraged us to implement the same approach on the 27 - bus Iraqi National (400kV) SHV Grid System.The real data for Iraqi network have been taken from Iraqi National Control Center (INCC), in the Ministry of Electricity.computer program, written in MatLab environment, was developed to represent the proposed method.

تقنيات النمذجة الذكية في تنبوء حمل الطاقة الكهربائية == Intelligent Modeling Techniques of Electric Power Load Forecasting

Author name: يونس محي نصيف
Supervisor name: حنان ميخائيل داود
Specific topic: Electrical Engineering
Degree: Master
Language: English
University location: Baghdad
First pages:
Abstract: As far as electrical power system is concerned, there has been a need to find out the future load in advance. Load forecasting has played an important role in the generation, transmission and distribution system planning. Load forecasting of future load demand is significant for an economic and secured operation of power systems. In general, the objective of high - precision load forecasting is difficult to achieve due to complex effects on load by a variety of factors.This thesis focuses on the study of long term load forecasting by using multiple linear regression (MLR) method and using different types of computational intelligence methods such as feed forward Neural Network with back - propagation (BP) tuning algorithm (FNN - BP), feed forward Neural Network with particle swarm optimization (PSO) tuning algorithm (FNN - PSO) and Elman Neural Network with back - propagation (BP) tuning algorithm (ENN - BP). Such forecasts will be highly useful in proper system planning and operations. The algorithms have been demonstrated using simulation programs in MATLAB environment.The usefulness of the five forecasting techniques was tested on a test system data for a Big Utility Company (Egyptian Unified Network). The obtained results showed that the ENN - PSO method takes advantage of accuracy and efficiency in prediction.The ENN - PSO method was performed using population growth data on the Iraqi National Grid for the duration from 2014 to 2030.

النظام المضبب للتحكم بمشكلة التزاحم لبروتوكول (التحكم في الارسال) في الشبكات المختلطة == A Fuzzy Based TCP Congestion Control For Hybrid Networks

Author name: سارة رعد قاسم
Supervisor name: زينب توفيق باقر
Specific topic: Electrical Engineering
Degree: Master
Language: English
University location: Baghdad
First pages:
Abstract: Transmission Control Protocol (TCP) is designed to deliver seamless and reliable end - to - end data transfer across unreliable networks and is offered connection - oriented, byte - stream service. The Internet’s TCP is probably the most widely used protocol; it is also the most carefully tuned since performance of Internet is largely based on TCP. However, throughput in TCP degrades notably when operated in erroneous networks. In erroneous networks, TCP misinterprets random packet losses and the subsequent packet reordering due to high bit error rate as congestion and invokes congestion control by triggering to fast retransmission and fast recovery, leading to under - utilization of the network resources and affecting TCP performance critically.Many proposals have been used to improve TCP performance in wireless networks. Most of these proposals were based on changing the TCP header and add more complications to the main mechanism. Means of improving performance of TCP over erroneous links were proposed using fuzzy controller in a simple manner (without changing the header) by tracking the delay and the frequencies of the occurrences of timeouts and triple duplicate acknowledgement (3dupacks) to differentiate congestion loss from bit error loss. The first proposal was FReno (Fuzzy+NewReno) but this new algorithm failed to achieve good efficiency. The second proposal was FVegas (Fuzzy+Vegas) and it also failed to improve TCP’s resource utilization. The third proposal was FWestwood (Fuzzy+Westwood) which significantly improved TCP performance. The proposed algorithm was compared against standard TCP variants for different error rates using OMNET++4 version 4.3.1 IDE simulator. FWestwood algorithm helped TCP to distinguish between congestion and packet loss and increase the performance in erroneous wired network, heterogeneous networks, wireless networks and mobile network. Results from simulations showed that in a congested network with (1% to 10%) of random packet loss rate, FWestwood achieved significant improvements in different erroneous networks over other TCP schemes. Also it achieved friendliness fair share of the link with other TCP standards.

التوزيع الامثل للمتحسسات في شبكة المتحسسات اللاسلكية باستخدام خوارزمية الامثلية المستوحاة من نظرية الاسراب == Optimum Sensors Deployment In Wireless Sensor Networks Using Swarm Based Bio - Inspired Optimization Algorithms

Author name: هيثم سعدون عفتان
Supervisor name: نزار هادي عباس
Specific topic: Electrical Engineering
Degree: Master
Language: English
University location: Baghdad
First pages:
Abstract: The increased demand for Wireless Sensor Networks (WSNs) in different areas of application has intensified studies dedicated to the deployment of sensor nodes in the recent past. The deployment of sensor nodes required that some of the key objectives should be satisfied, which are the coverage ratio of the monitoring area and the lifetime of the network.In this thesis, a mathematical model to optimize the coverage ratio and the lifetime of network is developed to ensure a better utility of the WSN. The model is formulated based on several parameters such as the size of the monitoring area, network models, the total number of sensor nodes, visibility requirements, sensing/communication radius, etc.Popular swarm based bio inspired algorithms have been used to optimize the WSN deployment. The coverage optimization process has been carried out by single objective optimization algorithms such as the Ant Colony Optimization (ACO) algorithm, modified version of Particle Swarm Optimization called Discrete PSO (DPSO), Discrete Artificial Bee Colony (DABC) algorithm and a new proposed algorithm called Quantum Artificial Bee Colony (QABC). QABC is based on quantum physical concepts to improve the local search capability of standard ABC algorithm. Thereafter, a multi objective optimization algorithm has been utilized to optimize the coverage ratio and lifetime of WSN. The multi objective optimization has been carried out by Non - dominated Sorting Genetic Algorithm (NSGA - II). All of these algorithms are simple, effective and computationally efficient optimization techniques.The WSN deployment has been simulated using MATLAB 7.12.0 (R2011a) package, NetBeans 7.4 Java integrated development environments, JMETAL 4.5 and Java Universal Network/Graph (JUNG 2.0.1) frameworks. The computer simulation results showed that the proposed algorithm for coverage ratio maximization was up to two times faster than the others. Furthermore, the conducted simulation indicated that the QABC algorithm offered (6%) better solution in terms of coverage in comparison with the others in some cases. Also the results showed that the deterministic deployment can achieve up to (25%) better coverage ratio than the random deployment. In addition, QABC outperformed GA, PSO and ABC algorithms when applied to several test problems. Additionally, the results showed that the NSGA - II algorithm could effectively optimize the network lifetime and coverage ratio and produced good convergent solutions to the Pareto front and was uniformly distributed along it.

تقليل تموج عزم الدوران في طريقة السيطرة المباشرة لعزم الدوران للمحركات الحثية == Torque Ripple Reduction Based Direct Torque Control For Induction Motor Drives

Author name: حيدر سالم حميد
Supervisor name: Prof. Dr. J.H. Alwash | Hanan M. Habbi
Specific topic: Electrical Engineering
Degree: Master
Language: English
University location: Baghdad
First pages:
Abstract: التحكم المباشر لعزم الدوران هو اسلوب التحكم المستخدم في انظمة محرك التيار المتناوب للحصول على سيطرة عزم دوران عالية الاداء. محرك DTC التقليدية يحتوي على زوج من الـ ( hysteresis comparators)، حساب الفيض وعزم الدوران وجدول اختيارالـ ( voltage vector). يت | Direct Torque Control (DTC) is a control technique used in AC drive systems to obtain high performance torque control. The conventional DTC drive contains a pair of hysteresis comparators, a flux and torque estimator and a voltage vector selection table. The torque and flux are controlled simultaneously by applying suitable voltage vectors, and by limiting these quantities within their hysteresis bands, de - coupled control of torque and flux can be achieved. Conventional DTC drives utilizing hysteresis comparators suffer from high torque ripple and variable switching frequency. Several techniques have been developed to improve the torque performance. In this thesis, Proportional - Integral (PI) controller has been presented to improve the system performance which gives better torque and flux response and also reduces the undesirable torque ripple. The most common solution to high torque ripple and variable switching frequency is to use the space vector pulse width modulation (SV - PWM) that depends on the reference torque and flux. The reference voltage vector is then realized by using a voltage vector modulator.The conventional DTC and DTC with PI controller are implemented using Xilinx System Generator (XSG) for MATLAB/Simulink environment through Xilinx blocksets. The design was achieved in VHDL, based on a MATLAB/Simulink simulation model. The Hardware - in - the - Loop (HIL) method is used to verify the functionality of the Xilinx FPGA estimator. The results are obtained and compared with MATLAB/ Simulink results considering the implementation of the proposed model on the Xilinx NEXYS2 Spartan 3E1200 FG320 Kit. The simulations of the DTC - SVPWM were carried out using MATLAB/ Simulink simulation package. The design, implementation and simulation of the overall drive system is performed using MATLAB/Simulink program version 7.13.0.564 (R2011ba) and Xilinx ISE Design Suite 14.2.

حل سريان الاحمال وتحليل الاضطرابات في منظومات القدرة على اسس المنطق المضبب باستخدام دالة الكاوسين == Fuzzy Load Flow And Contingency Analysis Based On Gaussian Distribution System

Author name: یاسر فلاح حسن
Supervisor name: حسن عبد الله كبة
Specific topic: Electrical Engineering
Degree: Master
Language: English
University location: Baghdad
First pages:
Abstract: This thesis presented durable minimization method for solving the load flow problem and contingency analysis in on - line applications. Because the electrical power networks are complicated systems, traditional (numerical) minimization methods may encounter difficulties in solving the load flow problem and contingency analysis due to properties of the problem.Thus, the fuzzy logic applications represented by the fuzzy load flow (FLF) and fuzzy contingency analysis (FCA) methods share the best selection in - stead of the traditional methods because the artificial intelligence (AI) methods do not use the characteristics of the problem to determine the next sampling point. The obtained results are very accurate with outstanding computation time, which made the FLF suitable for real time application. In addition to these features, the FLF also able to solve load flow problem of ill - conditioned power system and contingency analysis efficiently.The FLF method using Gaussian membership function requires less number of iterations and less computing time than that required in the FLF method using triangular membership function.All the obtained results show that the computation time of the Fuzzy Load Flow (FLF) is less than the Fast Decoupled Load Flow (FDLF). Using sparsity technique for the input sparse matrix data without complicating the algorithm?s programs gives reduction in overall computation time and storage requirements. The contingency ranking process by calculating the active power and voltage performance indices (PIP and PIV) are required for real power problems and voltage problems respectively for two typical test systems being the IEEE 14 - bus and 30 - bus systems. The performance of the FLF and FCA was tested on two typical test systems being the IEEE 14 - bus and 30 - bus systems in addition to the 362 - bus Iraqi National Grid.

الشبكات اللاسلكية متعدد الهدف باستخدام خوارزمية التكيف الجينية == Multi-Objective Wireless Networks Using Adaptive Genetic Algorithm

Author name: علياء عبد الحسين
Supervisor name: ابراهيم قاسم ابراهيم
Specific topic: Electrical Engineering
Degree: Master
University: University of Baghdad
Language: English
University location: Baghdad
First pages:

تصميم وتنفيذ نظام واي ماكس ذو المعيار باستخدام حقل المصفوفات القابلة للبرمجة IEEE 802.16d == Design And Implementation Of IEEE 802.16D Wimax Baseband System Using FPGA

Author name: قاسم هادي كريم
Supervisor name: محمود عبد القادر عبد الستار
Degree: Master
University: University of Baghdad
Language: English
University location: Baghdad
First pages:

ظاهرة الرنين اللاخطي وطريقة تجنبها في محولات الفولتية الفائقة == Ferroresonance Phenomena And It's Preventation In High Voltage Transformer

Author name: زينب ناظم عباس الموسوي
Supervisor name: Ali Al-Kilidar | Zeyad T. Al-Azzawi
Specific topic: Electrical Engineering
Degree: Master
University: University of Baghdad
Language: English
University location: Baghdad
First pages:

Studying The Merits Of A New Helically Travelling Field Induction Heating System

Author name: ليث جمال بني قيصر
Supervisor name: Jafar H. H. Alwash
Specific topic: Electrical Engineering
Degree: Doctorate
University: University of Baghdad
Language: English
University location: Baghdad
First pages:

ضغط الاشارات الكلامية باستخدام التحويل المويجي والمرمز التنبئي == Speech Signal Compression Using Wavelet And Linear Predictivecoding

Author name: احلام حنون شنين
Supervisor name: Tareq Zaeid
Specific topic: Electrical Engineering
Degree: Master
University: University of Baghdad
Language: English
University location: Baghdad
First pages:

Identification And Control Of Robot Manipulator Using Adaptive Fuzzy Wavelet Network

Author name: يحيى رجب محمد كوراز
Supervisor name: Waleed A. Mahmoud | Rami A. Mahir
Specific topic: Electrical Engineering
Degree: Doctorate
University: University of Baghdad
Language: English
University location: Baghdad
First pages:

التركيب الثلاثي الابعاد للدوائر المنطقية الشبكية الانعكاسية ذي القيمة الثلاثية == Three - Dimensional Synthesis Of Ternary Reversible Lattice Logic Circuits

Author name: اسماء طه سعدون
Supervisor name: سليم محمد رضا طه
Specific topic: Electrical Engineering
Degree: Master
University: University of Baghdad
Language: English
University location: Baghdad
First pages:

التحليل الزمني لشبكات PROFIBUS المهجنة سلكيا ولاسلكيا تحت تاثير الاعطاب العابرة == Timing Analysis Of Hybrid Wired / Wireless Profibus Networks Under Transient Faults

Author name: سعد حازم ماجد الطاك
Supervisor name: سفيان تايه فرج
Degree: Doctorate
University: University of Baghdad
Language: English
University location: Baghdad
First pages:

Polynomial And State - Space Based H - Infinity Robust Controller Design For Load Frequency Control In Power Systems

Author name: ابراهيم قاسم ابراهيم
Supervisor name: Rami A. Mahir | Ismail A. Mohammed
Specific topic: Electrical Engineering
Degree: Doctorate
University: University of Baghdad
Language: English
University location: Baghdad
First pages:

دراسة وتحليل ومحاكاة برمجية لنظام النظام العالمي للتصالات المتنقلة == Study, Analysis, And Software Simulation Of Global System For Mobile Communications System

Author name: سيف عادل الحسون
Supervisor name: سركوت نامق عبد الله
Degree: Master
University: University of Baghdad
Language: English
University location: Baghdad
First pages:

نظام تحديد هوية وموقع مصدر صوتي منفرد بالاعتماد على تقنيات معالجة الاشارات الرقمية == Single Sound Source Identification And Localization System Based On DSP Techniques

Author name: حيدر اسماعيل اشهادي
Supervisor name: Qader AL-Shara' | Sonia Abdul-Rahman Mohammed
Degree: Master
University: University of Baghdad
Language: English
University location: Baghdad
First pages:

التقنيات المحسنة للبث الفديوي الرقمي الفضائي باستخدام تقسيم التردد المتعامد المتعدد == Improvement Techniques For Satellite Digital Video Broadcasting Using OFDM

Author name: بثينة موسى عمران
Supervisor name: S. N. Abdullah
Degree: Doctorate
University: University of Baghdad
Language: English
University location: Baghdad
First pages:

محول بروتوكولات الاتصال لمركز سيطرة الكهرباء الوطني العراقي == Communication Protocol Converter For Iraq’s Electricity National Control Center

Author name: ايلاف قيس عبد الجبار عبد الله
Supervisor name: سركوت نامق عبد الله
Degree: Master
University: University of Baghdad
Language: English
University location: Baghdad
First pages:

Design And Implementation Of A Digital PABX == Design And Implementation Of A Digital PABX

Author name: نبيل صباح الدهان
Supervisor name: Abdul Kareem A-R. Kadhim | Sonia A-R. Mohammed-Ali
Degree: Master
University: University of Baghdad
Language: English
University location: Baghdad
First pages:
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