research centers


Search results: Found 8

Listing 1 - 8 of 8
Sort by

Article
Prediction of Surface Roughness and Material Removal Rate for 7024 AL-Alloy in EDM Process

Authors: Abbas Fadhil Ibrahim --- Mostafa Adel Abdullah --- Safaa Kadhim Ghazi
Journal: Engineering and Technology Journal مجلة الهندسة والتكنولوجيا ISSN: 16816900 24120758 Year: 2016 Volume: 34 Issue: 15 Part (A) Engineering Pages: 2796-2804
Publisher: University of Technology الجامعة التكنولوجية

Loading...
Loading...
Abstract

This paper studies prediction the values of MRR and surface roughness in Electrical discharge operations. It is a operation in which the material removal rate is machined with elevation spark in the midst work piece and electrode sunken through dielectric solution.Through use Taguchi found that the accuracy of the measured and prediction values that have been is 93% and 99% for each of the MRR and surface roughness respectively. The effect of different Electrical discharge machining factors are (Gap, pulse off time and pulse on time) to predict the (material removal rate) and (roughness). Note that connected pole that was used is copper. From (ANOVA) found that the large parameter effect on MRR is pulse-on 65% and pulse-off 25% while large parameter effect for surface roughness is pulse-on 96% . The least influential parameter for metal removal rate is the gap and the least influential parameter for surface roughness is pulse-off and Gap.

Keywords

EDM --- MRR --- Surface Roughness --- Prediction.


Article
NLMS Adaptive Filter Algorithm Method for GPS Data Prediction

Authors: Huda Jassim Mohammed --- Muhamm A. R. Yass --- Sameir Abdul-kaliq Abdul-aziez
Journal: Engineering and Technology Journal مجلة الهندسة والتكنولوجيا ISSN: 16816900 24120758 Year: 2016 Volume: 34 Issue: 6 Part (A) Engineering Pages: 1058-1068
Publisher: University of Technology الجامعة التكنولوجية

Loading...
Loading...
Abstract

This paper proposes a method for the predictionofGPS data using Normalized Least-Mean-Square Algorithm (nlms) was used as application of adaptive filter.Fourdifferent scenarios were taken to predict the GPS data.Thefirst one was without blocking of data and the three others with blocking for (3, 6, and10 seconds,respectively), with implementation in MATLAB. The prediction process of the GPS receivers is required for different reasons, such as maneuvering, founding obstacles, and also the time of booting may be too long due to the difficulty inobtaining the satellite’s position,hencein such casesone can use the GPS prediction data in order to solve these problemsand reduce the booting time and avoid losing of the GPSdata for any reason.

Keywords

NLMS --- GPSdata --- prediction --- adaptive filter --- blocking


Article
Establishing A New Anatomical Indicator For Antero-Posterior Jaw Discrepancy

Author: Kasem Ahmed Abeas
Journal: Medical Journal of Babylon مجلة بابل الطبية ISSN: 1812156X 23126760 Year: 2016 Volume: 13 Issue: 4 Pages: 734 -740
Publisher: Babylon University جامعة بابل

Loading...
Loading...
Abstract

To overcome the deficiencies, at least geometric drawbacks, associated with the most commonly available sagittal indicators (ANB, Wits), efforts were done to develop another an accurate and valuable mean for skeletal prediction.To establish the mean value of a new sagittal approach (µ angle) for the assessment of skeletal relationship in its different patterns and whether or not there is a correlation with the other cephalometric indexes.Depending on a predetermined criteria, the total study sample consist of ninety-four pretreatment lateral cephalometric radiograph of Iraqi subjects with a mean age (13.5± 2). Again it have been subdivided into three skeletal relations (I, II, III) according to the combined criteria of both (ANB and Wits appraisal) for each relevant class. µangle measured from A-B line and a perpendicular on Mandibular plane from point A.The mean values of µ angle were (22.16 ± 3.04; 13.56 ± 3.04; 28.84 ± 3.52) for class I; II; III, respectively and no significant gender differences were detected.Regardless sample subgroups, a strong negative significant correlation (P<0.001) was found between µangle and both ANB and Wits indexes. It was concluded that the new µ angle can accurately be utilized in clinical assessment of sagittal jaw relationship where the other skeletal measures such as ANB angle and Wits appraisal fail to accurately assess some of jaw relations due to anatomical and occlusal factors.


Article
Prediction-Based Path Planning with Obstacle Avoidance in Dynamic Target Environment

Authors: Zahraa Y. Ibrahim --- Abdulmuttalib T. Rashid --- Ali F. Marhoon علي فاضل مرهون
Journal: Basrah Journal for Engineering Science مجلة البصرة للعلوم الهندسية ISSN: Print: 18146120; Online: 23118385 Year: 2016 Volume: 16 Issue: 2 Pages: 48-60
Publisher: Basrah University جامعة البصرة

Loading...
Loading...
Abstract

In this paper, a new algorithm for mobile robot navigation and polygonal obstacles avoidance in dynamic target environment is introduced. In the dynamic target path planning theagent (robot) trying to reach a moving target in minimum pathcost. The introduced algorithm which called Prediction-basedpath planning with obstacle avoidance in dynamic target environment planning a path to a moving target by predicting the nexttarget location, then computing a path from the robot current location to the predicted target location representing each visibleobstacle by the smallest circle that enclosing the polygon obstacle,then determine the visible tangents between the robot and the circular obstacle that intersect its shortest path and compute theshortest path. Three target movement scenarios were suggestedand tested in different environment conditions. The results showthat the target was reached in all scenarios and under all environment conditions with good path cost.


Article
Permeability Prediction in One of Iraqi Carbonate Reservoir Using Hydraulic Flow Units and Neural Networks

Author: Dahlia Abdulhadi Alobaidi
Journal: Iraqi Journal of Chemical and Petroleum Engineering المجلة العراقية للهندسة الكيمياوية وهندسة النفط ISSN: 19974884/E26180707 Year: 2016 Volume: 17 Issue: 1 Pages: 1-11
Publisher: Baghdad University جامعة بغداد

Loading...
Loading...
Abstract

Permeability determination in Carbonate reservoir is a complex problem, due to their capability to be tight and heterogeneous, also core samples are usually only available for few wells therefore predicting permeability with low cost and reliable accuracy is an important issue, for this reason permeability predictive models become very desirable. This paper will try to develop the permeability predictive model for one of Iraqi carbonate reservoir from core and well log data using the principle of Hydraulic Flow Units (HFUs). HFU is a function of Flow Zone Indicator (FZI) which is a good parameter to determine (HFUs). Histogram analysis, probability analysis and Log-Log plot of Reservoir Quality Index (RQI) versus normalized porosity (øz) are presented to identify optimal hydraulic flow units. Four HFUs were distinguished in this study area with good correlation coefficient for each HFU (R2=0.99), therefore permeability can be predicted from porosity accurately if rock type is known. Conventional core analysis and well log data were obtained in well 1 and 2 in one of carbonate Iraqi oil field. The relationship between core and well log data was determined by Artificial Neural Network (ANN) in cored wells to develop the predictive model and then was used to develop the flow units prediction to un-cored wells. Finally permeability can be calculated in each HFU using effective porosity and mean FZI in these HFUs. Validation of the models evaluated in a separate cored well (Blind-Test) which exists in the same formation. The results showed that permeability prediction from ANN and HFU matched well with the measured permeability from core data with R2 =0.94 and ARE= 1.04%.


Article
Study of Actual Jupiter Observation Days at UFRO Station During 2004 Year
دراسة أيام مشاهدات المشتري الفعلية على محطة افرو خلال سنة 2004

Authors: Kamal M. Abood كمال محمد عبود --- Hiba U. Alaa-AlDeen هبة اسامة علاء الدين
Journal: Iraqi Journal of Science المجلة العراقية للعلوم ISSN: 00672904/23121637 Year: 2016 Volume: 57 Issue: 1C Pages: 768-774
Publisher: Baghdad University جامعة بغداد

Loading...
Loading...
Abstract

In this Paper, There are attempts to compare the actual Observation Days in Decametric range (18-28 MHz), For Jupiter received by UFRO Earths’ station with the Prediction Observation Days that the Jupiter can be observed at Jupiter’s suitable location. The Jupiter’s Radio Observations actual data during year 2004, was taken from (Radio JOVE Data Archive website). The determination of the prediction days carried out by using the (Radio-Jupiter pro Jove Edition) software for Jupiter radio storms at UFRO station coordinates. Some Cases are considered according to Jupiter’s altitudes and Sun location at UFRO station Sky. The conclusion is, it could be found that there are (82) number of Predictions Observation Days, and It’s found that the actual number of Observation Days; is only (16) Observation Days.

في هذا البحث, هناك محاولات لمقارنة ايام المشاهدات الفعلية في نطاق الترددات الديكامترية(18-28) ميكاهيرتز للمشتري من قبل المرصد الارضي(افرو) مع الايام التي يفترض بها رصد المشتري بانسب موقع للمشتري في السماء الراديوية, المشاهدات الراديوية الفعلية للمشتري خلال سنة 2004, اخذت من صفحة الويبRadio-Jupiter pro), تعيين الايام الافتراضية تمت باستخدام برنامج (Radio Jove Data Archieve Edition) البرمجي للعواصف الراديوية القادمة من المشتري على احداثيات موقع محطة (افرو), المشتري مع موقع الشمس على سماء محطة (افرو), الاستنتاج, انه تم بعض الاحداث اعتبرت تبعا لارتفاعات ايجاد (82 ) يوم رصد افتراضي من المحتمل رصد الاشارة الراديوية من المشتري فيه. وقد وجد ان عدد الايام الفعلية لرصد المشتري هي فقط (16) يوما.


Article
PREDICTION QUANTITIES OF AVAILABLE OF CAPITA CONSUMPTION OF RED MEAT, CHICKEN AND FISH IN IRAQ FOR PERIOD 2012-2022 THROUGH USING BOX - JENKINS METHODOLOGY.
التنبؤ بالكميات المتاحة لاستهلاك الفرد من اللحوم الحمراء والدجاج والاسماك في العراق للمدة (2012-2022) باستخدام منهجية بوكس وجينكنز Box- Jenkins

Authors: A. T. Abdul Mageed آمنه طارق عبد المجيد --- U. K. Jabra اسامة كاظم جبارة
Journal: Iraqi Journal of Agricultural Science مجلة العلوم الزراعية العراقية ISSN: 00750530/24100862 Year: 2016 Volume: 47 Issue: 4 Pages: 998-1013
Publisher: Baghdad University جامعة بغداد

Loading...
Loading...
Abstract

The aim of this paper is to analyze time series using the method of Box and Jenkins (B&J) (diagnosit, estimating, model appropriate test and prediction) to find the best model of predicting available quantities for red meat, chicken and fish consumption in Iraq depending on the annual data of 1990 – 2012. The analysis results showed that the model was the appropriate model for red meat of (0, 1, 1), for chicken of (1, 1, 1) and for fish of (1, 0, 0). Annually predicting available quantities for red meat, chicken and fish consumption was depending on these models for 2012 – 2022. The rates of available quantities growth for red meat, chicken and fish consumption per capita decreased during the studied period and were compatible with predicted quantities which indicated the decreasing but slowly. To keep on the current levels of red meet, chicken and fish consumption. It must be working on increasing the development of these sections of 1.9 , 1.45 , and 1.6%, respectively, to face the predicted negative development rate of -1.9 , -1.4 and -1.6% , respectively.

يهدف البحث الى تحليل السلاسل الزمنية باستخدام طريقة بوكس وجينكنيز(B&J) في التحليل (التشخيص, التقدير, اختبار ملائمة النموذج, التنبؤ) لإيجاد افضل انموذج للتنبؤ بالكميات المتاحة للاستهلاك اللحوم الحمراء والدجاج والاسماك في العراق وذلك بالاعتماد على البيانات السنوية للفترة 1990-2012. وقد اظهرت نتائج تحليل البيانات ان الانموذج الملائم بالنسبة للحوم الحمراء هو الانموذج من الدرجة (1,1,0) والانموذج الملائم بالنسبة للحوم الدجاج هو من الدرجة (1,1,1) اما الانموذج الملائم بالنسبة للحوم الاسماك هو (0,0,1) بالاعتماد على هذه النماذج تم التنبؤ بالكميات المتاحة للاستهلاك اللحوم الحمراء والدجاج والاسماك سنويا للمدة 2012-2022 وقد كانت معدلات نمو الكميات المتاحة لاستهلاك الفرد من اللحوم الحمراء والدجاج والاسماك اخذة بالانخفاض خلال المدة المبحوثة ومتجانسة مع الكميات المتنبأ بها والتي تشير الى انخفاض ولكنه انخفاض بطئ. للمحافظة على المستويات الحالية من استهلاك اللحوم الحمراء ولحوم الدجاج ولحوم الاسماك وايقاف انخفاضها, يجب العمل على زيادة نمو هذه القطاعات بنسبة (1.9% ) و(1.45%) و(1.6%) على التوالي لمواجهة معدل النمو السالب المتنبأ بها والبالغ (- 1.9% , -1.4% , -1.6%) على الترتيب.


Article
Prediction of Monthly Fluoride Content in Tigris River using SARIMA Model in R Software
التنبؤ بمحتوى الفلورايد الشهري في نهر دجلة باستخدام (SARIMA) موديل في برنامج (R)

Authors: Rasha Attwan Faraj رشا عطوان فرج --- Basim Hussein Khudair باسم حسين خضير --- Awatif Soaded Alsaqqar عواطف سؤدد عبدالحميد
Journal: Journal of Engineering مجلة الهندسة ISSN: 17264073 25203339 Year: 2016 Volume: 22 Issue: 8 Pages: 75-85
Publisher: Baghdad University جامعة بغداد

Loading...
Loading...
Abstract

The need to create the optimal water quality management process has motivated researchers to pursue prediction modeling development. One of the widely important forecasting models is the sessional autoregressive integrated moving average (SARIMA) model. In the present study, a SARIMA model was developed in R software to fit a time series data of monthly fluoride content collected from six stations on Tigris River for the period from 2004 to 2014. The adequate SARIMA model that has the least Akaike's information criterion (AIC) and mean squared error (MSE) was found to be SARIMA (2,0,0) (0,1,1). The model parameters were identified and diagnosed to derive the forecasting equations at each selected location. The correlation coefficient between the actual and predicted values for fluoride concentration at the six locations, Al-Karakh, East Tigris, Al-Wathbah, AL-Karamah, Al-Rashid and Al-Wahda WTP intakes, was 0.93, 0.82, 0.86, 0.90, 0.83 and 0.89, respectively. Model verification results indicated that the model forecasting outputs rationally estimated the actual monthly fluoride content in the selected locations.

الحاجة لابتكار نظام افضل لادارة نوعية المياه قد حفزت الباحثين لمواصلة تطوير نماذج التنبؤ. واحد من نماذج التنبؤ المهمة والواسعة الانتشار(SARIMA). في هذه الدراسة, تم تطوير نموذج (SARIMA) بأستخدام برنامج (R) لموافقة السلاسل الزمنية لمحتوى الفلورايد الشهري لستة مواقع في نهر دجلة خلال الفترة الزمنية من (2004-2014). وقد وجد النموذج الأنسب لاحتواءه على أقل قيمة (AIC) و قيمة معدل مربع الخطأ (MSE) وقيمة (SARIMA) لتكون (0،1،1) (2،0،0). معالم النموذج قد عرفت وشخصت لاشتقاق معادلات التنبؤ في كل المواقع المحددة. معامل الارتباط بين القيم الفعلية والمتوقعة لتركيز الفلوريد في المواقع الستة، مآخذ الكرخ، شرق دجلة، الوثبة، الكرامة، الرشيد و الوحدة كان 0.93، 0.82، 0.86، 0.90 ، 0.83 و 0.89 على التوالي. قد بينت نتائج أختبار النموذج بأن نتائج التنبؤ للنموذج قد قدرت محتوى الفلورايد الشهري الفعلي في المواقع المختارة جيدا.

Listing 1 - 8 of 8
Sort by
Narrow your search

Resource type

article (8)


Language

English (7)

Arabic (1)


Year
From To Submit

2016 (8)