البحث — المستودع الرقمي العراقي

المستخلص: 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.

الصفحات الاولى:

الكلمات الدلالية:

Pattern Recognition
RAM - based Weightless Neural Network

مكان الجامعة: بغداد

اللغة: الانكليزية

الجامعة: الجامعة التكنولوجية - قسم الهندسة الكهربائية - فرع الهندسة الكهربائية

الدرجة: ماجستير

الموضوع الدقيق: هندسة الكهرباء

السنة: 2014

الموضوع العام: هندسة الكهرباء والالكترون والاتصالات

اسم المشرف: محمود حمزة المفرجي

اسم المؤلف: عمار علي مصطفى

تحسين الفولتية وتقليل خسائر منظومة الشبكة العراقية باستخدام افضل جهاز FACTs Improvement of Voltage Profile And Reduce Iraqi Grid System Losses By Using Optimal FACTs Device

المستخلص: الغرض من هذا العمل هو تحسين الجهد والتقليل من خسائرالقدرة للشبكة العراقية ( 400kV ) عن طريق تركيب اجهزة ( FACTs ) في مواقع مختلفة تحت حالة خطا ومقارنة النتائج مع تلك دون وجود (FACTs) تحت نفس الظروف.تم تحديد الموقع الامثل للـ(FACTs) على اساس الخوارزميات | The aim of this work is to improve the voltage profile and reduces power losses of Iraqi (400kV) power grid system by installing Flexible Alternating Current Transmission System devices (FACTs).The optimal location of the FACTs device was specified based on Genetic Algorithm (GA) optimization method and power system analysis toolbox ( PSAT) package, it was utilized to search for optimum FACT parameters setting and location based objective function that depends on the power and voltage as fitness.MATLAB (R2011a) was used for running both GA program and Power System Analysis Toolbox (PSAT) version 2.1.6, Newton Raphson method also used for solving the load flow of the system and the Trapezoidal method for the non - linear differential equations.Two systems have been implemented in this work as follows; • IEEE - machine 9 - bus system.• INSGS 11 - machine 24 - bus, 39(400kV) overhead transmission line.The GA program is implemented on IEEE 9 - bus system, then after getting the appropriate results the same procedure repeated for the Iraqi grid system which is more complicated, its used to find the optimal location of Unified Power Flow Controller (UPFC). The results obtained from GA have been compared with PSAT and showed that the installation of (UPFC) devices at the optimal locations of the Iraqi grid gives an improvement in the power losses and voltage after subjected to the three phase fault to ground at different locations and different cases (temporary fault, permanent fault).