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تمييز قزحية العين باستخدام التحويل الموجي والشبكات الاصطناعية

Author name: احمد عز الدين عبد الله
Supervisor name: هديل نصرت عبد الله
General topic: Electrical, Electronic and Communications Engineering
Specific topic: Electronic Engineering
Degree: Master
University: University of Technology - Electrical Engineering Department - Electronic Engineering Branch
Language: English
University location: Baghdad
First pages:
Abstract: التعرف على قزحية العين هي تقنية القياس الحيوي التي تتناول تحديد الهوية على اساس قزحية الانسان. يعتبر تميز القزحية من انواع التكنولوجيا الحيوية الاكثر دقة المتاحة اليوم بالمقارنة مع انواع كثيرة من التقنيات البيومترية المستخدمة مثل : مسح بصمات الاصابع، التعر | Iris Recognition is a Biometric Technology which deals with identification based on the human iris. It is considered to be the most accurate biometric technology available today compared with many kinds of biometric technologies used, like Fingerprint scanning, Face recognition, Voice recognition and Hand geometry scanning because it has some advantages, such as uniqueness, stability and high recognition rate etc., makes iris recognition so accurate.In this proposed system, two database systems are used. The first is CASIA database system (version 1.0)(Chinese Academy of Sciences Institute of Automation). And, the second is Real database system by using real persons (each with many images) for recognition through camera Mobile Type of Galaxy Note3. An approach to get more accuracy of the offline iris recognition is composed of many steps : capturing the iris image, determining the location of the iris boundaries, normalization, preprocessed using median filter to remove noise, using wavelet transform for two types of filter, Haar and Daubechies, in order to extract the features and finally using the matching by artificial feed forward neural network with back propagation algorithm (FFBNN) for training and testing iris image.In CASIA system, the iris recognition rate for Haar filter was 84.2% and for Daubechies filter was 92.8%, while in the real system, iris recognition rate for Haar filter was 90% and for Daubechies filter was 98.7%. This means the Daubechies filter is the best in execution time and mean square error from the Haar filter. Finally, efficiency of this system is logical, because the performance measurement of False Acceptance Rates was reasonable. The results and the experiments were implemented by P4 computer and the software package MATLAB (R2011a).

تطبيق الشبكة العصبية في تكوين الشعاع المتكيف لنظام الهوائي الذكي == Neural Network Application In Adaptive Beamforming For Smart Antenna System

Author name: سليمان احمد غازي
Supervisor name: عضيد حسن سلومي
General topic: Electrical, Electronic and Communications Engineering
Specific topic: Electrical Engineering
Degree: Master
University: Mustansiriyah University - College Of Engineering - Department Of Electrical Engineering
Language: English
University location: Baghdad
First pages:
Abstract: انظمة الهوائيات الذكية تعمل على تحسين الاداء وزيادة في السعة لانظمة الاتصالات المتنقلة. ويمكن لانظمة الهوائيات الذكية حل مشكلة نظام الاتصالات المتنقلة مثل التدخل في نفس القناة، والتاخير الحاصل نتيجة الانتشار والمسارات المتعددة التي تاخذها الاشارة عن طريق | The smart antenna systems are promise to provide performance improvement and capacity increasing for the base station of mobile communication systems. Smart antenna systems can solve the problem of mobile communication system such as co - channel interference , delay spread and multipath by an advance signal processing technology called beamforming. In this work artificial neural networks (Feed Forward Neural Network (FFNN) and feedback Elman Recurrent Neural Network (ERNN) ) are used for smart antenna adaptive beamforming for one and multiple targets.Neural network is used to calculate the optimum weights of antenna array to adapt the radiation pattern of the antenna array by directing multiple narrow beams toward the desired users and nulling interference or unwanted users. FFNN and ERNN are trained by supervised backpropagation learning algorithms, FFNN was trained by using Levenberg - Marquardt (lm),Resilient Back - Propagation (Rprop), Gradient descent with momentum and adaptive learning rate (gdx), Gradient descent and adaptive learning rate (gda) and biasing regulation(br), while lm and Rprop are used to train ERNN..The simulation results show that the best performance of smart antenna adaptive beamforming for one and multiple targets is obtained when the NN (FFNN and ERNN) trained by lm algorithm as compared with other algorithms, since it consider the fastest supervised training algorithm but with more memory requirement. Where the performance of FFNN training phase based (lm) algorithm for single target for five element uniform linear array antenna is [2.746641e - 14] at epoch 27 with best validation performance and best test performance approximately equal to the best training performance. While The performance of ERNN training phase based lm algorithm for single target is [1.121938e - 14] at epoch 38 with best validation performance equal to [1.682442e - 14] and the best test performance is [3.363946e - 14].The neural network model in adaptive beamforming are compared with smart antenna adaptive beamforming based on Least Mean Square (LMS) algorithm, and gave better performance than LMS.

تقييم اداء نظام تحويل المويجات المنفصلة - مازج تقسيمات التردد المتعامد المشفر للتطبيقات ذات السرعة العالية == Performance Evaluation of DWT - COFDM System For High Speed Applications

Author name: ضفاف طلال شاكر
Supervisor name: سعد سفاح حسون
General topic: Electrical, Electronic and Communications Engineering
Specific topic: Electrical Engineering
Degree: Master
University: University of Babylon - College Of Engineering - Department Of Electrical Engineering
Language: English
University location: Babylon
First pages:
Abstract: The internet revolution has created the need for wireless technologies that can deliver data at high speeds in a spectrally efficient manner. However, supporting such high data rates with sufficient robustness to radio channel impairments requires careful selection of modulation techniques. The demand for high - speed mobile wireless communications is rapidly growing. OFDM technology promises to be a key technique for achieving the high data capacity and spectral efficiency requirements for wireless communication systems. Abstract In this thesis, Inverse Discrete Wavelet Transform (IDWT) is used as a modulation technique instead of Inverse Fast Fourier Transform (IFFT) with coded OFDM due to its excellent orthogonality and superior spectral containment properties of wavelet filters. Coded Orthogonal Frequency Division Multiplexing (COFDM) is the same as OFDM except that forward error correction is applied to the signal before transmission. This is to minimize errors in the transmission due to lost carriers from frequency selective fading, channel noise and other propagation effects. Convolutional code is used in this thesis as a forward error correction code. The proposed (DWT - COFDM) system is simulated under the effect of additive white Gaussian noise channel, and multi - path fading channel at different values of Doppler frequencies (22.2Hz, 41.7Hz and 444.4Hz) which are the most significant impact channel parameters on the bit error rate performance. The proposed system is also compared with DWT - OFDM, FFTCOFDM and FFT - OFDM systems. It is found that the proposed system can significantly improve the BER performance and it performs better than the other three systems. On the other hand, convolutional code and DWT is used to reduce the peak to average power ratio (PAPR) which is considered the serious problem in any wireless communication system using multi carrier modulation techniques like OFDM systems by using two of the most important non distortion techniques which are selective level mapping (SLM) and partial transmit sequence (PTS) and the results show that the proposed systems for SLM and PTS techniques can perform better than the conventional SLM and PTS. The results also show that the proposed PTS technique performs better than the proposed SLM technique.

اكتشاف العطل الارضي المنفرد واخماده ذاتيا باستخدام السيطرة على ملف بترسون في شبكة التوزيع == Detection of Earth Fault And Self - Extinguishing By Controlling Petersen - Coil In Distribution Grid

Author name: فريال ابراهيم الظفيري
Supervisor name: عبد الغني عبد الرزاق عبد الطائي | قاسم كرم عبد الله
General topic: Electrical, Electronic and Communications Engineering
Specific topic: Electrical Engineering - Power and Machinery
Degree: Master
University: University of Babylon - College Of Engineering - Department Of Electrical Engineering
Language: English
University location: Babylon
First pages:
Abstract: ان اكثر الاعطال شيوعا والتي تتعرض لها الشبكة الكهربائية في العالم هو Single Line to Earth حيث ان عطل احدى الاطوار مع الارضي في الشبكات الكهربائية, يسبب هذا قوسا كهربائيا اضافه الى جهد كبير , اكبر من جهد الطورين مع بعضهما مما يزيد خطورة الفصل والعزل في ال | All over the world, the most common faults in the distribution network is the single line to ground fault. A single phase fault with the earthing in the distribution networks causes electrical arc as well as high voltage than the two phases together which increase the danger of separation and isolation in networks. Consequently, this case can be controlled through Peterson Coil which turns off or reduces the electrical arc that makes the network safer. This work has using technique to detect the earth fault in the single - phase by distinguishing between the higher and the lower values of the currents. Also, this technique is used to detect the capacity of earthing network lines and the possibility to adapt the capacitor for inductance in order to detect the electrical arc during faults and to detect the earth leakage.Moreover, we have used many methods to control Peterson coils such as using PID Controller , Fuzzy Logic Controller, Hybrid control PID and Fuzzy System and Adaptive Neural Fuzzy Inference system, to determine the earth fault current at values equal to the current in the two sound phases. To getting best results for the fault current through conducting lab experiences by using DC Servo motor and Arduino. And the fault current is converted from the rated current, thus thousands of tons of copper cost are save. They were used to carry this high voltage. Finally, the first practical part (Simulink) was implemented through Mat lab (R2011a) and (R2013a) , On the other hand, the second practical part was in the lab, where servo motors Where used, variable and non - variable inductance , the drive to isolate the control loop from the power, PID and PWM, have also used the Arduino system to program the overdrive.

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
General topic: Electrical, Electronic and Communications Engineering
Specific topic: Electrical Engineering
Degree: Master
University: University of Baghdad - College Of Engineering - Department Of Electrical Engineering
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.

نمذجة الخواص الميكانيكية للصلب == Mechanical Property Modelling Of Steels

Author name: اسيل عبد الباقي عبد الرزاق
General topic: Electrical, Electronic and Communications Engineering
Specific topic: Electromechanical engineering
Degree: Doctorate
University: University of Technology - Department Of Electromechanical Engineering
Language: English
University location: Baghdad
First pages:

تقييم معامل انتقال الحرارة اثناء تقسية الصلب == Evaluation Of Heat Transfer Coefficient During Quenching Of Steel

Author name: هالة سلمان حسن
General topic: Electrical, Electronic and Communications Engineering
Specific topic: Electromechanical engineering
Degree: Doctorate
University: University of Technology - Department Of Electromechanical Engineering
Language: English
University location: Baghdad
First pages:

تاثيرات الظروف البيئية المختلفة على خواص صفائح الفايبر المقوى == The Effects Of Different Environmental Conditions On The Characteristics Of Fiber Reinforced Plates

Author name: غيداء كريم ياس
Supervisor name: صفاء هاشم عبد الرحمن | شوكت ذياب الهيازعي
General topic: Electrical, Electronic and Communications Engineering
Specific topic: Electromechanical engineering
Degree: Doctorate
University: University of Technology - Department Of Electromechanical Engineering
Language: English
University location: Baghdad
First pages:

نظام الاتمتة المنزلية مبني على اساس شبكة المتحسسات اللاسلكية == Home Automation System Based On Wireless Sensor Network

Author name: محمد قاسم شاكر
Supervisor name: اسامة قاسم جمعة
General topic: Electrical, Electronic and Communications Engineering
Specific topic: Electronics and Communications Engineering
Degree: Master
University: University of Babylon - College Of Engineering
Language: English
University location: Babylon
First pages:

تصميم منظومة اتصالات ضوئية لاسلكية خارجية اعتمادا على مازج تقسيمات الطول الموجي مع حزمة فائقة العرض == Design Of Outdoor WDM-UWB Based Optical Wireless Communication System

Author name: ياسر خضير عباس
Supervisor name: ابراهيم عبد الله مراداس
General topic: Electrical, Electronic and Communications Engineering
Specific topic: Electronics and Communications Engineering
Degree: Master
University: University of Babylon - College Of Engineering
Language: English
University location: Babylon
First pages:

تحليل اخفاء الصور باستخدام الاحصاءات ذات المرتبة العالية == Image Steganalysis Using Higher Order Statistics

Author name: عمار موفق يعقوب يوسف دخان
Supervisor name: ماهر خضير العزاوي
General topic: Electrical, Electronic and Communications Engineering
Specific topic: Electrical Engineering
Degree: Master
University: Mustansiriyah University
Language: English
University location: Baghdad
First pages:

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
General topic: Electrical, Electronic and Communications Engineering
Specific topic: Electrical Engineering
Degree: Master
University: University of Baghdad
Language: English
University location: Baghdad
First pages:

تحسين تخمين الموقع الزاوي للهدف باستخدام الخوارزمية الجينية == Improvement Of Target Angular Location Estimation In Track-While-Scan Radar System Using Genetic Algorithms

Author name: حارث ماجد صالح الدليمي
Supervisor name: وليد خالد محمد علي | محمود طاهر محمد علي
General topic: Electrical, Electronic and Communications Engineering
Specific topic: Electrical Engineering
Degree: Master
University: Mustansiriyah University
Language: English
University location: Baghdad
First pages:

السيطرة المتينة على تردد الحمل لمنظومة القدرة متعددة المناطق == Robust Load - Frequency Control Of A Multi - Area Power System

Author name: فراس احمد مجيد الدرزي
Supervisor name: علي حسين احمد
General topic: Electrical, Electronic and Communications Engineering
Specific topic: Electrical Engineering - Power and Machinery
Degree: Doctorate
University: University of Al Mosul - College Of Engineering
Language: English
University location: Mosul
First pages:

طرق متقدمة لتشخيص اعطاب المحركات الحثية == Advanced Methods For Induction Motors Fault Diagnosis

Author name: ياسر محمد يونس امين
Supervisor name: باسل محمد سعيد
General topic: Electrical, Electronic and Communications Engineering
Specific topic: Electrical Engineering - Power and Machinery
Degree: Doctorate
University: University of Al Mosul - College Of Engineering
Language: English
University location: Mosul
First pages:

تصميم ومحاكات منظومة استخدام الويب للمراقبة عن بعد في منظومات شركة مصافي الشمال في بيجي == Design And Simulation Of A Web-Based Monitoring System For The North Oil Refinery In Baiji

Author name: مسارع كريم محمود
Supervisor name: فوزي منير النعمة
General topic: Electrical, Electronic and Communications Engineering
Specific topic: Communications Engineering
Degree: Doctorate
University: Al-Nahrain University - College Of Engineering
Language: English
University location: Baghdad
First pages:

تمييز الاشخاص باستخدام التحقق من عدة خواص حيوية == Person Identification Using Face And Finger Print Authentication

Author name: وائل حسين زاير اللامي
Supervisor name: وليد امين محمود الجوهر | ماجد عبد النبي علوان
General topic: Electrical, Electronic and Communications Engineering
Specific topic: Electrical Engineering
Degree: Doctorate
University: University Of Basrah - College Of Engineering
Language: English
University location: Basrah
First pages:

التخمين المتكيف لموقع وسرعة المحطات المتنقلة في انظمة الاتصالات اللاسلكية ذات الهوائي الذكي == Adaptive Estimation Of Position And Velocity For Mobile Stations In Smart Antenna Wireless Communication Systems

Author name: محمد عبد لله غالي السعدون
Supervisor name: عبد الكريم سوادي عبد الله
General topic: Electrical, Electronic and Communications Engineering
Specific topic: Electrical Engineering
Degree: Master
University: University Of Basrah - College Of Engineering
Language: English
University location: Basrah
First pages:

تصنيف اشارات الدماغ الكهربائية باستخدام الشبكة العصبية والشبكة العصبية الكمية == Classification Of Electroencephalograph (EEG) Signals Using Neural And Quantum Neural Networks

Author name: ابتسام عبد الواحد رشيد
Supervisor name: Abduladhem A. Ali | Hayder M. Abdulridah
General topic: Electrical, Electronic and Communications Engineering
Specific topic: Electrical Engineering
Degree: Master
University: University Of Basrah - College Of Engineering
Language: English
University location: Basrah
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
General topic: Electrical, Electronic and Communications Engineering
Specific topic: Electronics and Communications Engineering
Degree: Master
University: University of Baghdad
Language: English
University location: Baghdad
First pages:

مراقبة الانحدار في الاداء لمحركات التيار المستمر بالاستناد الى مصفوفة البوابات المنطقية القابلة للبرمجة باستخدام طريقة البرمجيات الذكية == FPGA Based Performance Degradation Monitoring Of DC Motor Using Soft Computing Approach

Author name: بلال زهير احمد
Supervisor name: عباس حسين عيسى
General topic: Electrical, Electronic and Communications Engineering
Specific topic: Electronic Engineering
Degree: Master
University: University of Technology - Electrical Engineering Department - Electronic Engineering Branch
Language: English
University location: Baghdad
First pages:

تصميم وتنفيذ نظام جباية اجور استهلاك الطاقة الكهربائية بالاعتماد على نظام الاتصالات العالمية == Design and Implementation of Electrical Energy Billing System Based on GSM

Author name: احمد محمد مرزة
Supervisor name: محمود شاكر الشمري
General topic: Electrical, Electronic and Communications Engineering
Specific topic: Electronics and Communications Engineering
Degree: Master
University: University of Babylon - College Of Engineering
Language: English
University location: Babylon
First pages:

تصميم وتنفيذ نظام العناية الصحية المتنقل في الاسعاف بالاعتماد على شبكة الانترنت == Design and Implementation of Ambulance Mobile Health System Based on Internet

Author name: عبد الله علي جابر الحسيني
Supervisor name: سمير جاسم محمد
General topic: Electrical, Electronic and Communications Engineering
Specific topic: Electronics and Communications Engineering
Degree: Master
University: University of Babylon - College Of Engineering
Language: English
University location: Babylon
First pages:

حساب الوثوقية في انظمة الاتصالات اللاسلكية == Reliability Evaluation For Wireless Communication System

Author name: ياسمين عبد الغني اليوزبكي
Supervisor name: اسماعيل محمد جابر
General topic: Electrical, Electronic and Communications Engineering
Specific topic: Electronics and Communications Engineering
Degree: Master
University: Mustansiriyah University - College Of Engineering - Department Of Electrical Engineering
Language: English
University location: Baghdad
First pages:

تصميم منظومة استقرارية لنظام القدرة عن طريق منظومة اثارة المولد == Design Of Power System Stabilizer For Generator Excitation System

Author name: ياسر فليح حسن
Supervisor name: Basim T. Kadhem
General topic: Electrical, Electronic and Communications Engineering
Specific topic: Electrical Engineering
Degree: Master
University: University Of Basrah - College Of Engineering - Department Of Electrical Engineering
Language: English
University location: Basrah
First pages:
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