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Design of Cash Register System Using Microprocessors

Author name: Faiz Khalil Abdul-Ahad
Supervisor name: Suhail Saadallah
Specific topic: Electrical Engineering
Degree: Master
University: University of Baghdad
Language: English
University location: Baghdad
First pages:

Design and Implementation of an Intelligent Arabic Terminal

Author name: Safaa Abd-Ulhay Abass Al-Janaby
Supervisor name: Suhail Saad Allaf
Specific topic: Electrical Engineering
Degree: Master
University: University of Baghdad
Language: English
University location: Baghdad

Digital Transduction System For The Measurement Ofmultiplexed Physical Variables

Author name: waleed kadhum muslih .
Specific topic: Electrical Engineering
Degree: Master
University: University of Baghdad
University location: Baghdad
Key words:
  • /transducers./ /electronic instruments,digital./ /electronic measurements./

ExperiMental And Computational Investigation Of Developing Laminar mixed convection Through Concentric Annuli With Asymmetric Hearing

Author name: nAJIMaBEDkADHUM
Specific topic: Electrical Engineering
University: University of Baghdad
University location: Baghdad

Static Var Compensator Svc Modeling For The Iragi National Super High Voltage Grid System

Author name: Arshad abduljabbar najim
Specific topic: Electrical Engineering
Degree: Master
University: University of Baghdad
University location: Baghdad
Key words:
  • Electric engineering

Particale Swarmoptimization - Pso Based Optimal Power Flow For The Iraqi Ehv Network

Author name: Monther Fadhil Meteb
Specific topic: Electrical Engineering
Degree: Master
University: University of Baghdad
University location: Baghdad
Key words:
  • Electric power distribution

A Study Of Harmonies In Pulse Width Modulation Power Inverter As A Motor Drive

Author name: Hussein Tekleef Kadhum
Specific topic: Electrical Engineering
Degree: Master
University: University of Baghdad
University location: Baghdad
Key words:
  • Pulse modulation - Electronics

Vibration Evaluation Of Rotating Shafts For Power Plants Equipments

Author name: Ahmed Adnan Abed
Specific topic: Electrical Engineering
Degree: Master
University: Al-Nahrain University
University location: Baghdad
Key words:
  • Vibration

Evaluation Of Operation And Design Parameters On The Performance Of Indoor Single Slope Solar Still

Author name: Marwah Abdul Wahhab Ali
Specific topic: Electrical Engineering
Degree: Master
University: Al-Nahrain University
University location: Baghdad
Key words:
  • Salar energy

Simulation And Implementation Of Dc Motor Drive

Author name: Hameed Aubaid Ali
Specific topic: Electrical Engineering
Degree: Master
University location: Baghdad
Key words:
  • Power electronics

An Algorithm For Reactive Power Management In Power System Using Artificial Neural Networks

Author name: Aseel Hassan Maktoof
Specific topic: Electrical Engineering
Degree: Master
University: University of Baghdad
University location: Baghdad
Key words:
  • Electric power systems

Design And Implementation Of A Two Axes Sun Tracking System For Flat Solar Panels

Author name: Ayad Mahmood Kwad
Specific topic: Electrical Engineering
Degree: Master
University: University of Baghdad
University location: Baghdad
Key words:
  • Solar energy

Turbo Generator Unit Control Through Excitation / Gorerning Systems Using Ppc

Author name: wisam saad abdul qader
Specific topic: Electrical Engineering
Degree: Master
University: University of Baghdad
University location: Baghdad
Key words:
  • electric power - electric

Analysis Of Buck Boost Ac Chopper Fed Capacitor Run Induction Motor

Author name: Shams Wael Kamel
Specific topic: Electrical Engineering
Degree: Master
University: University of Baghdad
University location: Baghdad
Key words:
  • Power electronics

Parametric Study Of Active Solar Heater Using A Pebble Bed As Athermal Collector And Storage

Author name: Mustafa Mahdi Mustafa
Specific topic: Electrical Engineering
Degree: Master
University: University of Baghdad
University location: Baghdad
Key words:
  • Solar heating

Cooling And Heating A Green House In Baghdad By A Solar Assisted Desiccant System

Author name: Mustafa Moayad Hasan
Specific topic: Electrical Engineering
Degree: Master
University: University of Baghdad
University location: Baghdad
Key words:
  • Solar heating

التحكم بسرعة محرك التيار المستمر عديم الفرش بناء على الشبكة العصبية المويجية

Author name: عباس كريم كاظم
Specific topic: Electrical Engineering
Degree: Master
University location: Baghdad

Design And Implementation Amotion Control System Based On Electro - Pneumatic Actuator

Author name: Ahmed Abdul Kadhum Shaalan
Specific topic: Electrical Engineering
Degree: Master
University location: Baghdad

الضغط والتشفير المركب للكلام باستخدام التحويلات الكنتورية والضاغط المتحسس الفوضوي == Combined Speech Compression and Encryption using Contourlet Transform and Chaotic Compressive Sensing

Author name: علي محسن غازي
Supervisor name: ماهر خضير محمود
Specific topic: Electrical Engineering
Degree: Master
Language: English
University location: Baghdad
First pages:

تمييز الحروف العربية المعزولة المكتوبة بخط اليد باستخدام الشبكات العصبية == Recognition Of Isolated Handwritten Arabic Letters Using Neural Networks

Author name: نهلة ظاهر حبيب بهية
Supervisor name: منذر نعمان التكريتي
Specific topic: Electrical Engineering
Degree: Master
Language: English
University location: Baghdad
First pages:
Abstract: يتناول هذا البحث مشكلة تمييز الحروف العربية المعزولة المكتوبة بخط اليد باستخدام الشبكات العصبية. ان نظام تمييز الحروف العربية المقترح يتكون من ثلاث مراحل وهي : مرحلة مسح صور الحروف العربية ثم مرحلة معالجة الصور واخيرا مرحلة التدريب والتصنيف.ان المرحلة الاخ | This thesis presents an algorithm for recognition of an off - line isolated handwritten Arabic letters using neural networks.The handwritten recognition system present in this work consists of three modules : - 1 - Arabic letter scanning module 2 - Arabic letter preprocessing module 3 - Learning and recognition module.The proposed neural network in the third module is trained in two stages : The first stage employs Self - Organizing Map learning algorithm for clustering the input pattern, which are based on a database of 196 letters collected from 7 independent persons.In the second stage each of the similar output cluster is considered as a subnet introduced to neural network trained by Back - propagation learning algorithm for classification. Several networks architecture are designed in the second stage using 1 - hidden and 2 - hidden layers with 5 and 28 output nodes in the output layer with different number of hidden nodes and learning rate.To examine the efficiency of the system a database of 196 letters collected from other 7 independent persons are used, (in order to test the ability of the trained network to generalize). The results show that clustering the input pattern, using 1 - hidden layer and 28 nodes in output layer improve the network performance. The system was implemented using (IBM - PC) of type Pentium 3.The programming language used to design the system was c++ version 5.02.

استراتيجية السيطرة على المقوم ثلاثي الاطوار المضمن بعرض النبضة (PWM) نوع رافع للجهد ولمصدر تغذية متغير الحالات

Author name: منتظر كاظم عبد الله
Supervisor name: تركي كحيوش حسن
Specific topic: Electrical Engineering
Degree: Master
Language: English
University location: Baghdad
First pages:
Abstract: In this thesis, a proposed control strategy is presented to improve the performance of the PWM boost type rectifier when operating under different supply voltage conditions (balanced, unbalanced, and distorted three - phase supply voltages). The proposed control strategy is classified into two parts, the first part is voltage controller and the second part is current controller. In the voltage controller, Repetitive Controller (RC) is used to reduce the even order harmonics in the regulated output dc voltage (5.62V (P.P.)) so small output capacitor (480µF) is used instead of large capacitor (920µF) that is used with the conventional controller (PI controller connected in series with a LPF). RC also reduces the even order harmonics (0.014A (P.P)) which appears in the reflected dc current (IMAX), this leads to reduce the odd order harmonics (0.01A) which appears in the input currents. While in the current controller, enhanced Phase Locked Loop (EPLL) technique is used to obtain sinusoidal and balanced three phases, to construct the reference currents, which are in phase with the fundamental supply voltages Therefore, the supply - side power factor is kept close to unity (0.9036 for extremely distorting case). As a result the calculations of the reference currents in the proposed control strategy does not require Clarke or Park transformations, the same for the calculations of the positive or negative sequence components. A proportional controller is used to give excellent tracking between the line and the reference currents. Using this approach makes the control strategy easy to understand and also it saves calculation time of the control algorithms if implements in real time. The complete system with the proposed control strategy is simulated using Matlab/Simulink (Version 2012). The obtained results for the complete system using repetitive voltage controller are compared to the results of the system with using the conventional voltage controller. The results with the repetitive controller show better responses and stable operation in the steady state under different input voltage conditions, as well as in the transient response under different disturbances.

تحقيق دائرة المعدل الثابت للانذار الكاذب باستعمال منظومة البوابات المنطقية المبرمجة موقعيا == Modified GO - CFAR Implementaion Using FPGA

Author name: مصطفى صبحي كمال
Supervisor name: رفعت طالب حسين | حكمت نجم عبد الله
Specific topic: Electrical Engineering
Degree: Master
Language: English
University location: Baghdad
First pages:
Abstract: هذه الاطروحة تتعلق بتحليل ومعالجة تاثير الضوضاء المحيطية (Clutter) لمنظومة الرادار النبضي، يتطلب رادار الكشف الالي للهدف استعمال عتبة الية (Adaptive threshold) لتحقيق معدل ثابت للانذار الكاذب وذلك لغرض السيطرة على الانذار الكاذب الذي تسببه تغيرات في الضوض | This thesis deals with the analysis and processing of clutter for pulsed radar system. Automatic target detection radar requires adaptive thresholding achieved by Constant False Alarm Rate (CFAR) circuit in order to control the false alarm caused by variations in clutter background.This work focus on worst radar environment that happens when abrupt variation in clutter background merged with multi - interfering target, to detect target in such environments it need robust CFAR algorithm that excise the target spikes and clutter edges from CFAR window in order to give best possible estimation to the noise background. two important algorithms studied which are CA - CFAR and OS - CFAR algorithms in additional to the modified CA - CFAR algorithm. All these algorithms were simulated with mat lab v6.1 and applied them to three different clutter models that represent different environment cases the CA - CFAR family failed to handle model two and three also OS - CFAR family except OSGO - CFAR that handle all models successfully. For modified CA - CFAR family only modified GO - CFAR handle all models successfully and comparing with OSGO - CFAR the modified GO - CFAR need less hardware and processing time because it did not need sorting process that is essential for OSGO - CFAR. Therefore, the modified GO - CFAR is chosen to implement by using FPGA and another important feature in modified GO - CFAR algorithm that is parallel processing since the spike selection process is done at the same time with summing of samples process that make this algorithm much less in processing time from any other algorithm that work in the same environment. The FPGA chip that used to implement modified GO - CFAR algorithm need only three signals from the radar receiver to mach with the receiver circuit correctly which are time base clock signal period reset trigger signal and the pulse duration time. Therefore, the FPGA chip can work effectively with almost any radar receiver system

تحليل الاشارات المشفرة ثنائيا باستخدام الترشيح الموائم وغير الموائم لتقليل الفصوص الجانبية == Analysis Of Binary - Coded Signals Using Matched And Mismatched Filtering For Sidelobe Reduction

Author name: صلاح حسن عباس
Supervisor name: اسماعيل محمد جابر
Specific topic: Electrical Engineering
Degree: Master
Language: English
University location: Baghdad
First pages:
Abstract: Various types of binary phase - coded signals are studied in terms of their correlation properties. Then, matched filtering technique as well as mismatched filtering techniques is applied to the codes studied previously in order to reduce the sidelobes of the compressed binary phase - coded signal around the mainlobe, and consequently increase the detection of the received signal. Each filtering technique is performed using programs written by the programming language of MATLAB version 7.4.0.287 (R2007a). White Gaussian noise is introduced in the assessment made to both the filtering techniques and the codes that are adopted in this thesis.The MATLAB programs are tested on various types of binary phase codes that are adopted in this thesis to calculate the criteria to choose the best filtering technique. These criteria are peak sidelobe level, the integrated sidelobe level, and the signal - to - noise ratio loss. Later, the results, which are obtained according to these mentioned criteria, are used to test different filtering techniques on the chosen periodical and aperiodical binary phase codes to choose the best one.It is found that, the optimal peak sidelobe level (PSL) filtering technique is the best filtering technique for the aperiodical binary phase codes in terms of the peak sidelobe level, and in terms of an acceptable signal - to - noise ratio loss. The optimal integrated sidelobe level (ISL) filtering technique comes in the second place.While, it is found that, the mismatched filtering technique is the best filtering technique for the periodical binary phase codes in terms of an acceptable signal - to - noise ratio loss.

نظام الاخفاء الصوري المعتمد على تحويل المويجة والاشارات الفوضوية

Author name: سرى فهمي يوسف
Supervisor name: حكمت نجم عبد الله
Specific topic: Electrical Engineering
Degree: Master
Language: English
University location: Baghdad
First pages:

تحسين التمييز للشبكات العصبية المنعدمة الاوزان == Recognition Enhancement of Weightless Neural Network

Author name: عمار علي مصطفى
Supervisor name: محمود حمزة المفرجي
Specific topic: Electrical Engineering
Degree: Master
Language: English
University location: Baghdad
Key words:
  • Pattern Recognition
  • RAM - based Weightless Neural Network
First pages:
Abstract: الفعل الذكي للشبكات المتعلمة في هذا البحث يركز على الشبكات المتعلمة في منظومة تمييز الانماط المعتمدة على الذاكرة. ان الفعل الذكي في هذه المنظومات يكمن في القابلية على تمييز الانماط التي لم تتدرب عليها مسبقا وذلك يتم بالاعتماد على ظاهرة التعميم. الهدف من ا | The intelligent action of the learning network in this research concentrates on the learning network in the pattern recognition systems that are based on the Random Access Memory. The intelligence action in the pattern recognition system is the capability to recognize other patterns that were not learned before in the system depending on the generalization. The objective of the research is oriented to improve the performance of the learning network in pattern recognition system. A pattern recognition system that based on Random Access Memories is developed and evaluated for classifying non - deterministic data with particular reference to unconstrained handwritten Arabic numerals and traffic signs patterns.Various techniques are presented which allow the system to be optimized, giving an increase in the performance and confidence of the results.The results obtained showed the improvements of n - tuple and VG - RAM WNN systems as learning network. Techniques used to enhance the performance are investigated. The averaging of the training patterns for colored images is the proposed system. This technique gives improvements to the system performance in term of required storage size and recognition speed.
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