research centers


Search results: Found 301

Listing 1 - 10 of 301 << page
of 31
>>
Sort by

Article
Applications of Artificial Intelligence
تطبيقات الذكاء الاصطناعي الحالية

Author: هيثم عبداللطيف عمر
Journal: Al-Rafidain University College For Sciences مجلة كلية الرافدين الجامعة للعلوم ISSN: 16816870 Year: 2006 Issue: 18 Pages: 31-41
Publisher: Rafidain University College كلية الرافدين الجامعة

Loading...
Loading...
Abstract

Artificial Intelligence is decomposed into a number of sub disciplines that while sharing an essential approach to problem solving, have concerned themselves with different applications, including Game playing, Automated reasoning and theorem proving, Expert systems, Natural language understanding, and Military applications which include command and control, decision support system and training. The success of machine learning programs suggests the existence of a set of general learning principles that will allow the construction of programs with the ability to learn in realistic domains.


Article
تهجين الشبكة المناعية الاصطناعية باستخدام شبكة إنتشارالخطأ خلفاً

Authors: عمر صابر قاسم --- إسراء رستم محمد
Journal: AL-Rafidain Journal of Computer Sciences and Mathematics مجلة الرافدين لعلوم الحاسوب والرياضيات ISSN: 18154816 Year: 2013 Volume: 10 Issue: 4 Pages: 103-114
Publisher: Mosul University جامعة الموصل

Loading...
Loading...
Abstract

In this research building style simulation developed is applied in the field of pattern recognition medical patients osteoporosis through a process of integrating and hybridization between artificial immune network and back propagation neural network, where the focus was on the qualities positive and overcome the negative qualities possessed by each of these two technologies by building technology improved, have proven technical hybrid it with better results and high efficiency in the classification of cases patients osteoporosis compared with both artificial immune network (AIN) and back propagation neural network (BP).

تم في هذا البحث بناء أسلوب محاكاة متطور يتم تطبيقه في مجال التعرف على الأنماط الطبية لمرضى وهن العظام وذلك من خلال إجراء عملية دمج وتهجين بين تقنيتي الشبكة المناعية الاصطناعية (Artificial Immune Network) وشبكة انتشار الخطأ خلفا (Error Back Propagation Neural Network), إذ تم التركيز على الصفات الايجابية والتغلب على الصفات السلبية التي تمتلكها كل من هاتين التقنيتين من خلال بناء تقنية محسنة, وقد أثبتت التقنية المهجنة أنها ذات نتائج أفضل وبكفاءة عالية في تصنيف حالات مرضى وهن العظام مقارنة مع كل من تقنيتي الشبكة المناعية الاصطناعية (AIN) وشبكة انتشار الخطأ خلفا (BP).


Article
Effect of denture cleanser on the color stabil-ity of artificial denture teeth

Authors: Alaa N Al-Saraj --- Nadia T Jaffer --- Mohammed M Sadoon
Journal: Al-Rafidain Dental Journal مجلة الرافدين لطب الأسنان ISSN: 18121217 Year: 2011 Volume: 11 Issue: 21 Pages: 202-210
Publisher: Mosul University جامعة الموصل

Loading...
Loading...
Abstract

Aims: To evaluate the effect of three different cleanser on the color stability of three different types of artificial teeth. Materials and methods: sixty samples of artificial anterior teeth were prepared which are Acry-Rock, RMH teeth and Porcelain teeth and immersed in three types of denture cleanser(Bony plus, Protefix and soda+ vinegar) for 8 hours and the color of the teeth was measured by Easyshade's spectrophotometer at 3 intervals(1,2and4weeks). Results: Showed that the a'b values of ceramic teeth and L value of RHM teeth were significantly differencent after 2 week of immersion in three type of denture cleanser. Analysis of variance demonstrated that L'a'b value for ceramic teeth and RHN teeth were statistically significant after 4 week immersion in three type of denture cleanser, The result of color change (ΔE) for three denture cleansers of three periods of immersion were clinically accepted. Conclusion: Long period of immersion of artificial teeth in denture cleanser cause significant color change for L*a*b* values but they were clinically accepted.


Article
The surface roughness of new fluoride releasing material after using three polishing protocols and storage in artificial saliva

Author: Maha A. Habeeb مها حبيب
Journal: Journal of baghdad college of dentistry مجلة كلية طب الاسنان بغداد ISSN: 16800087 Year: 2013 Volume: 25 Issue: 1 Pages: 21-26
Publisher: Baghdad University جامعة بغداد

Loading...
Loading...
Abstract

Background: Prophylaxis methods are used to mechanically remove plaque and stain from tooth surfaces; suchmethods give rise to loss of superficial structure and roughen the surface of composites as a result of their abrasiveaction. This study was done to assess the effect of three polishing systems on surface texture of new anteriorcomposites after storage in artificial saliva.Materials and methods: A total of 40 Giomer and Tetric®N-Ceram composite discs of 12 mm internal diameter and3mm height were prepared using a specially designed cylindrical mold and were stored in artificial saliva for onemonth and then samples were divided into four groups according to surface treatment:Group A (control group):10 specimens received no surface polish and were subdivided into A1 (Giomer) and A2(Tetric®N-Ceram). Group B: 10 specimens received polishing with Air polishing devise (APD) and were subdivided intoB1 (Giomer) and B2 (Tetric®N-Ceram). Group C: 10 specimens received polishing with pumice and brush and weresubdivided into C1 (Giomer) and C2 (Tetric®N-Ceram). Group D: 10 specimens were polished with pumice andrubber cup and were subdivided into D1 (Giomer) and D2 (Tetric®N-Ceram). Testing was done by means ofprofilometer and statistically analyzed using analysis of variance test (ANOVA), LSD and student t-test. Also sampleswere photographed by special orthoplane camera using light polarizing microscope.Results: The results showed a highly statistical significant difference in surface roughness among Giomer subgroupsP<0.05. Also there was a highly significant difference P<0.05 when comparing Tetric subgroups according to type ofsurface treatment. Furthermore there was non-significant difference P>0.05 between groups according to the typeof restorative material used.Conclusion: The use of prophylactic surface treatment significantly increased Giomer and Tetric ceram surfaceroughness and the use of rotating brush has shown the roughest surface among all other types of prophylacticprotocols also Giomer had shown more surface roughness than Tetric ceram although the difference was notsignificant.


Article
Cryptography Using Artificial Neural Network

Author: sawsan s. abed
Journal: AL-dananeer مجلة الدنانير ISSN: 2224414X Year: 2012 Volume: 1 Issue: 1 Pages: 387-402
Publisher: Iraqi University الجامعة العراقية

Loading...
Loading...
Abstract

التشفير بطريقة الشبكة العصبية تتعامل مع مشكلة تبادل المفاتيح مابين شبكتين عصبيتين باستخدام مفهوم التعلم العصبي المتبادل ، الشبكتين تتبادل الاخراجات والمفاتيح فيما بينهم تتمثل بالاوزان التعليمية النهائية ، متى ماكانت هذه الشبكة متزامنه كان من الصعوبة على المهاجم ان يخترق النظام او يتزامن معهم اثناء الفترة التعليمية .


Article
Using the Artificial Gas Lift to Increase the Productivity of Noor Oil Field / Mishrif Formation

Authors: Talib A. Salh --- Safaa H. Sahi --- Shaymaa A. Hussein Ismael
Journal: Iraqi Journal of Chemical and Petroleum Engineering المجلة العراقية للهندسة الكيمياوية وهندسة النفط ISSN: 19974884/E26180707 Year: 2015 Volume: 16 Issue: 2 Pages: 39-44
Publisher: Baghdad University جامعة بغداد

Loading...
Loading...
Abstract

Noor Oil Field is one of Iraqi oil fields located in Missan province / Amarah city. This field is not subjected to licensing rounds, but depends on the national effort of Missan Oil Company. The first two wells in the field were drilled in seventies and were not opened to production until 2009. The aim of this study is to study the possibility of using the method of gas lift to increase the productivity of this field . PROSPER software was used to design the continuous gas lift by using maximum production rate in the design. The design was made after comparing the measured pressure with the calculated pressure, this comparison show that the method of Beggs-Brill and Petroleum Expert2 gave the best results; therefore, these correlations have been adopted in the design of gas lift. The point of gas injection had been selected; the optimum gas injection rate, the maximum oil production rate, the number of valves required for gas injection and their depth, the pressure required to open and close each valve were calculated. The effect of water-cut, change the amount of ratio of gas to oil and decline reservoir pressure in natural flow case and gas lift method case were studied. The results of gas lift design show that the maximum oil production rate is (1000) STB/Day and the optimum gas injection rate (2.65) MM Scf/Day at using operating pressure of (1700) psi available at casing head and the minimum bottom hole following pressure is (1501.5) psi.


Article
Artificial saliva sorption for three different types of dental composite resin (An in vitro study)

Authors: Rajaa T. Sulieman --- Amer A Taqa
Journal: Al-Rafidain Dental Journal مجلة الرافدين لطب الأسنان ISSN: 18121217 Year: 2011 Volume: 11 Issue: SpIss Pages: S296-S302
Publisher: Mosul University جامعة الموصل

Loading...
Loading...
Abstract

Aims: To evaluate the artificial saliva sorption for three different types of light activated composite resin. Materials and Method: A total of thirty six specimens (bars) (3x8x15)mm were prepared from three different types of light activated composite resin. (Tetric N-ceram, Iv o clar-vivadent-Liechtenstein. Arabesk – voco – Germany. Soltaire–2, Heraeus, kulzer, Germany). Twelve specimens were prepared from each type of composite resin. Complete fabrication of composite resin specimens, polished and kept in three different types of artificial saliva medium, three specimens from each type of composite resin as interactive specimens kept in type of artificial saliva and the last three specimens kept in Deionized water as control medium. The weight of each specimens was measured at an analytic balance before and after different time intervals of storage (1,2,7,21,35,60) days to measure the amount of absorption of artificial Saliva (gaining and loss of weight). The study showed a significant difference (P< 0.05) in artificial saliva sorption among the three different types of composite resin at different time intervals when kept in different artificial saliva medium. Tetric N-ceram (nano composite) has more affect with three different types of artificial saliva medium (gaining and loss weight) followed by Arabesk, Soltaire-2 composite resin for different types of artificial saliva at different time intervals. Conclusion: Dental composites are sensitive to artificial salive medium (gain and loss of weight) Tetric N ceram (nano – composite) interact actively followed by Arabesk and Soltaire-2 for three different artificial saliva medium at different time intervals


Article
The Investigation of Monitoring Systems for SMAW Processes
الأستقصاء عن أنظمة المراقبة و السيطــــره على عمليات اللحـــام بالقوس الكهربائي

Loading...
Loading...
Abstract

The monitoring weld quality is increasingly important because great financial savings are possible because of it, and this especially happens in manufacturing where defective welds lead to losses in production and necessitate time consuming and expensive repair. This research deals with the monitoring and controllability of the fusion arc welding process using Artificial Neural Network (ANN) model. The effect of weld parameters on the weld quality was studied by implementing the experimental results obtained from welding a non-Galvanized steel plate ASTM BN 1323 of 6 mm thickness in different weld parameters (current, voltage, and travel speed) monitored by electronic systems that are followed by destructive (Tensile and Bending) and non-destructive (Hardness on HAZ) tests to investigate the quality control on the weld specimens. The experimental results obtained are then processed through the ANN model to control the welding process and predict the level of quality for different welding conditions. It has been deduced that the welding conditions (current, voltage, and travel speed) have a dominant factors that affect the weld quality and strength. Also we found that for certain welding condition, there was an optimum weld travel speed to obtain an optimum weld quality. The system supports quality control procedures and welding productivity without doing more periodic destructive mechanical test to dozens of samples.

إنّ مراقبة نوعيةَ وجودة اللحامِ مهمةُ جداً لأنها تزيد احتمالية الارباح الماليةَ وهذه تَحْدثُ خصوصاً في عمليات الأنتاج حيث ان اللحام المعيوبِ يذهب مع الخسائرِ في الإنتاجِ ويَستلزمُ معالجته خسارة في الوقتِ والكلفة.هذا البحثِ يَتعاملُ مع مراقبة نوعية اللحام وقابليةِ التحكم في عمليةِ اللحام الأنصهاري بالقوسِ الكهربائي التي تَستعملُ شبكة عصبيةَ إصطناعيةَ (ANN) كنموذج.تأثير عناصر اللحامِ على نوعيةِ اللحامَ دُرِسَ بتَطبيق نَتائِجِ تجريبيةِ تم الحَصول عليها مِنْ لحام صفيحة الفولاذِ (1323 ASTM BN non-Galvanized) بسمك 6 مليمتر في ظروف اللحامِ المختلفةِ (تيار لحامِ، فولتية لحامِ، سرعة اللحامِ) تمت المراقبة بالأنظمةِ الإلكترونيةِ، ثم تُبعت بأختبارات فحص أتلافية لعينات (أختبار الشدّ والإنحْناء) وغيرأتلافية لعينات أخرى (أختبار الصلادة) لتَحرّي مراقبة الجودة على نماذجِ اللحام.إنّ النَتائِجَ التجريبيةَ المكتسبةَ تمّ معالجتها بأدخالها لنموذجِ الشبكة العصبيةِ الإصطناعيِة للسَيْطَرَة على عمليةِ اللحام وتوقّعُ مستوى النوعيةِ لظروف اللحام المختلفةِ.إستُنتِجَ بأنّ ظروف اللحام (الفولتية، التيار، سرعة اللحام) كَانَت العوامل المهيمنة التي أَثّرتْ على نوعيةِ وقوّةِ اللحامَ. أيضاً وَجدنَا انه عند تحديد ظروف اللحام، كانت هناك سرعةُ لحام قصويةِ للحُصُول على نوعيةَ لحامِ قصويةِ.يَدْعمُ النظامُ إجراءاتَ مراقبة الجودةِ وانتاجية اللحام بدون عَمَل إختبار ميكانيكي تدميري الى أكثرِ من العشراتِ من العيناتِ.


Article
Evaluation of The Effect of Immersion Periods in The Artificial Saliva on The Surface Roughness of Three Types of orthodontic Arch Wires

Authors: Zaid S Tawfek --- Khudair A Al–Jumaili
Journal: Al-Rafidain Dental Journal مجلة الرافدين لطب الأسنان ISSN: 18121217 Year: 2008 Volume: 8 Issue: 15 Pages: 72-78
Publisher: Mosul University جامعة الموصل

Loading...
Loading...
Abstract

Aims: To evaluate the effect of immersion periods in artificial saliva on the surface roughness of an arch wire. Materials and Methods: The roughness of three types of orthodontic arch wires: stainless steel (SS), titanium molybdenum alloy (TMA) and composite coated wire (CC) were first measured at dry condition then incubated in artificial saliva at 37 o C with saliva pH (7.25) for different immersion periods (1, 14 and 28 days). Then the surface roughness was measured by using Taylor Hobson Profi-lometer (Talysurf type 10). Results: There was a significant increase in surface roughness of the three types of wires during the first day of immersion but as the immersion periods increased, it showed a non significant difference in the roughness of SS and TMA. The roughness of CC however, increased. Conclusions: It was concluded that the surface roughness of SS and TMA wires increased during the first day of immersion, such increase is not significant after that, while in case of CC, as the immersion periods increase the surface roughness significantly increased.


Article
DESIGN OF MULTI-LAYER NEURAL NETWORKS FOR BUTTERWORTH FILTER OPTIMIZATION
تصميم الشبكات العصبية متعددة الطبقات لتمثيل مثالي لمرشحات البترورث

Author: . Hanan A. R. Akkar أ.م.د. حنان عبد الرضا عكار
Journal: Al-Qadisiyah Journal for Engineering Sciences مجلة القادسية للعلوم الهندسية ISSN: 19984456 Year: 2009 Volume: 2 Issue: 1 Pages: 58-65
Publisher: Al-Qadisiyah University جامعة القادسية

Loading...
Loading...
Abstract

In this paper a proposed design of five multi-layer feed-forward Artificial Neural Networks (ANNs) is presented for optimized Butterworth filter. The first and second network perform Butterworth ideal Low Pass Filter (LPF) and typical LPF. The third ANN performs Band Pass Filter (BPF). The fourth network perform multi–BPF which consists of two layers, the first layer consists of six tansig neurons and the second layer consists of one purline neuron, and the fifth feed-forward network is designed to perform the High Pass Filter (HPF) which consists of three layers, the first layer consists of three tansig neurons, the second layer consists of three tansig neurons and the third layer consists of one purline neuron. Back-propagation training algorithm is used to train the proposed networks with Mean Square Error (MSE) equals 10-10. Simulation and test programs are implemented by using MATLAB

تم في هذا البحث تصميم خمس شبكات عصبية متعددة الطبقات لتمثيل مثالي لمرشحات البترورث.حيث تنفذ الشبكتان العصبيتان الأولى و الثانية مرشح الترددات الواطئة المثالي والعملي . أما الشبكة العصبية الثالثة فتقوم بتنفيذ مرشح الترددات ألحزمي . أما الشبكة العصبية الرابعة, التي تنفذ مرشح الترددات ألحزمي المتعدد فتتكون من طبقتان, حيث تحتوي الطبقة الأولى على ست خلايا عصبية و تحتوي الطبقة الثانية على خلية عصبية واحدة فقط. وأخيرا الشبكة العصبية الخامسة التي تنفذ مرشح الترددات العالي فتتكون من ثلاث طبقات حيث تحتوي الطبقة الأولى على ثلاث خلايا عصبية و تحتوي الطبقة الثانية على ثلاث خلايا عصبية . أما الطبقة الثالثة فتحتوي على خلية عصبية واحدة فقط. تم استخدام الخوارزمية ذات الانتشار العكسي في تدريب الشبكات العصبية حيث تم الحصول على المعدل التربيعي للخطأ بحدود .تم تدريب الشبكات و اختبارها باستخدام MATLAB.

Listing 1 - 10 of 301 << page
of 31
>>
Sort by
Narrow your search

Resource type

article (301)


Language

English (219)

Arabic (40)

Arabic and English (33)


Year
From To Submit

2019 (16)

2018 (34)

2017 (29)

2016 (32)

2015 (13)

More...