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Article
The Relationship between the Level of Earnings Quality and Financial Distress Risk

Authors: Bahzad Kardan --- Hussein Falah Hasan --- Mahdi Salehi
Journal: Al Kut Journal of Economics Administrative Sciences مجلة الكوت للعلوم الاقتصادية والادارية ISSN: 1999558X Year: 2018 Volume: 1 Issue: 30 Pages: 193-212
Publisher: Wassit University جامعة واسط

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Abstract

the aim of this study is to investigate the relationship between the level of earnings quality (fundamental and optional) and financial distress risk in Iranian and Iraqi listed firms; 159 and 35 numbers respectively.The research period is from 2011 to 2015 in both countries. However, to measure earnings quality, the data were used between 2008 and 2016.The results show that the level of earnings quality has no significant relationship with financial distress risk in all prediction models in Iran, except for Ohlson (1980). In Iraq, this relationship was only significant for the model of Bharath & Shumway (2008).It is for the first time that the relationship between the components of thelevel of earnings quality (fundamental and optional) and financial distress risk is accentuated. It is now implemented in Iran and Iraq with the comparison between the international data of both countries.


Article
Evaluation of Weather Research and Forecasting (WRF) Model Simulations over Middle East

Authors: Thaer O. Roomi --- Kais J. Al-Jumaily --- Rasheed H. Salih
Journal: Al-Mustansiriyah Journal of Science مجلة علوم المستنصرية ISSN: 1814635X Year: 2018 Volume: 29 Issue: 2 Pages: 26-33
Publisher: Al-Mustansyriah University الجامعة المستنصرية

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Abstract

The Weather Research and Forecasting (WRF) model is an atmospheric simulation system designed for both research and operational applications. This worldwide used model requires a sophisticated modeling experience and computing skills. In this study, WRF model was used to predict many atmospheric parameters based on the initial conditions extracted from the datasets of NOMADS (NOAA National Operational Model Archive & Distribution System). The study area is basically the region surrounded by the longitudes 15o-75o E and latitudes 10.5o-45o N which typically includes the Middle East region. The model was installed on Linux platform with a grid size of 10 km in the zonal and meridional directions. A low pressure trough was tracked in its movement from west to east via the Middle East during the period from 1 to 7 January 2010 as a case study of the WRF model. MATLAB and NCL (NCAR Command Language) were used to display the model output. To evaluate the forecasted parameters and patterns, some comparisons were made between the predicted and actual weather charts. The WRF model could give agreeable simulations to the weather conditions in the case study. Wind speeds and directions in the prognostic and actual charts of 700 hPa were adequate especially for the first 4 days. A further comparison between the results of WRF with the results of another model “Shallow Water Equations Model” for velocity and geopotential height shows that WRF gives better simulation. The predicted values of geopotential heights in WRF are somewhat overestimate the actual geopotential heights which may be attributed to the differences in the data sources and data analysis methods of the two data systems, NOMADS and ECMWF.

إنموذج البحث والتنبؤ عن الطقس (وورف) هو نظام محاكاة جوية مصمم لكل من التطبيقات البحثية والتشغيلية. هذا الإنموذج الواسع الاستخدام يتطلب خبرة نمذجية احترافية ومهارات برمجية. في هذه الدراسة، استخدم إنموذج وورف لغرض التنبؤ عن عدة باراميترات جوية اعتمادا على الشروط الأولية المستحصلة من مجاميع بيانات وكالة نومادس NOMADS (نظام الارشفة والتوزيع لإنموذج نوا التشغيلي الوطني). منطقة الدراسة تشمل بشكل رئيسي المنطقة المحصورة بخطوط الطول 15-75 درجة شرقاً ودوائر العرض 10.5-45 درجة شمالاً والتي هي نموذجياً تتضمن منطقة الشرق الاوسط. الإنموذج تم تنصيبه على برنامج التشغيل لينوكس واعتماد حجم خلية من 10 كم بالاتجاهين النطاقي والزوالي. لقد تم متابعة تقعر المنخفض الجوي في حركته من الغرب الى الشرق مروراً بالشرق الأوسط خلال الفترة من 1 الى 7 كانون الثاني 2010 كحالة دراسية لإنموذج وورف. تم استخدام كل من الماتلاب ولغة NCL لغرض إظهار نتائج الإنموذج. ولتقييم الباراميترات والانماط التنبؤية جرى عقد مقارنات بين الخرائط الطقسية التنبؤية والخرائط الطقسية الفعلية. إنموذج وورف استطاع ان يعطي محاكاة مقبولة للحالات الجوية في الحالة الدراسية. ان سرع واتجاهات الرياح في الخرائط التنبؤية والفعلية للمستوى 700 هكتوباسكال كانت كفوءة خاصة في الايام الاربعة الأولى. مقارنة أخرى بين نتائج وورف مع نتائج إنموذج آخر هو "إنموذج معادلات المياه الضحلة" للسرعة والارتفاعات الجهدية أظهرت بأن وورف يعطي محاكاة أفضل. القيم التنبؤية للارتفاعات الجهدية في وورف كانت تزيد قليلاً عن القيم الفعلية للارتفاعات الجهدية وهذا يمكن ان يعزى الى الاختلافات في مصادر وطرق تحليل البيانات في كل من مجوعة بيانات نومادس NOMADS ومجموعة بيانات المركز الاوربي ECMWF.


Article
Lossy Images Compression Based on Multiresolution

Author: Rana T. Al-Timimi
Journal: Al-Mustansiriyah Journal of Science مجلة علوم المستنصرية ISSN: 1814635X Year: 2018 Volume: 29 Issue: 2 Pages: 126-134
Publisher: Al-Mustansyriah University الجامعة المستنصرية

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Abstract

A hybrid lossy compression system was presented in this paper. It was based on combining the multiresolution coding together with a polynomial approximation of linear base to decompose grey images followed by an efficient coding.The test results showed promising performance where the compression ratio improved about three times or more compared with the results of the traditional linear predicting coding system.

تم في هذا البحث تقديم طريقة ضغط ضياعي هجينة. حيث اعتمدت على دمج طريقة التعدد بالقرار مع التنبوء الخطي وذلك لتحليل الصورالرمادية يتبعها ترميز كفوء.بينت النتائج اداء واعد حيث تم تحسين نسبة الضغط بما يعادل 3 مرات او اكثر مقارنة مع نتائج نظام التنبوء الخطي التقليدي.


Article
ENVIRONMENTAL MANAGEMENT PLAN OF THE PROPOSED WASTEWATER TREATMENT IN AL-NAHRWAN REGION/ BAGHDAD

Authors: Salih Abdul-Ridha Al-Bakri --- Alaa Rasheed Hamdan Al-Obaidi2
Journal: Journal of Engineering and Sustainable Development مجلة الهندسة والتنمية المستدامة ISSN: 25200917 Year: 2018 Volume: 22 Issue: 2 (Part-4) Pages: 182-194
Publisher: Al-Mustansyriah University الجامعة المستنصرية

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Abstract

Based on the provisions of the Law for the Protection and Improvement of the Environment No. 27 of 2009 in Article 10, the project owner must comply with the preparation of the Environmental Impact Assessment (EIA) study prior to its establishment. This study offers an appropriate and effective Environmental Management Plan (EMP) for the proposed Wastewater Treatment Plant (WWTP) of Al-Nahrwan project during the construction and operation stages as one of the most important stages of EIA process. This plan includes mitigation and monitoring measures to enhance the positive impacts of the treatment plant, and to minimize or eliminate its negative effects on the environment.


Article
ROLE OF DATA MINING IN E-GOVERNMENT FRAMEWORK

Author: Reem Razzaq Abdul Hussein, Dr. Salih Mahdi Al-Qaraawi, Dr. Muayad Sadik Croock
Journal: Iraqi Journal for Computers and Informatics المجلة العراقية للحاسبات والمعلوماتية ISSN: 2313190X 25204912 Year: 2018 Volume: 44 Issue: 2 Pages: 1-4
Publisher: University Of Information Technology And Communications جامعة تكنولوجيا المعلومات والاتصالات

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Abstract

In e-government, the mining techniques areconsidered as a procedure for extracting data from the related webapplication to be converted into useful knowledge. In addition, thereare different methods of mining that can be applied to differentgovernment data. The significant ideas behind this paper are toproduce a comprehensive study amongst the previous research workin improving the speed of queries to access the database andobtaining specific predictions. The provided study compares datamining methods, database management, and types of data. Moreover,a proposed model is introduced to put these different methodstogether for improving the online applications. These applicationsproduce the ability to retrieve the information, matching keywords,indexing database, and performing the prediction from a vast amountof data


Article
Reducing Data Sparsity in Recommender Systems

Authors: Nadia F. Al-Bakri --- Soukaena Hassan Hashim
Journal: Al-Nahrain Journal of Science مجلة النهرين للعلوم ISSN: (print)26635453,(online)26635461 Year: 2018 Volume: 21 Issue: 2 Pages: 138-147
Publisher: Al-Nahrain University جامعة النهرين

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Abstract

Recommender systems are used to find user's interested things among a huge amount of digital information. Collaborative filtering is used to generate recommendations. However, the data sparsity problem leads to generate unreasonable recommendations for those users who provide no ratings. From this point, this paper presents a modest approach to enhance prediction in movielens dataset with high sparsity by applying collaborative filtering methods. The proposal consists of three consequence phases: preprocessing phase, similarity phase, prediction phase. The experimental results obtained conducting similarity measures against movielens user rating datasets show that the result of prediction is enhanced about 10% to15% with the non-sparse rating matrix.


Article
Proposed Design Against High-Cycle Fatigue Failure of Metallic Beams Using Lamination

Author: Riyah N. Kiter
Journal: Engineering and Technology Journal مجلة الهندسة والتكنولوجيا ISSN: 16816900 24120758 Year: 2018 Volume: 36 Issue: 5 Part (A) Engineering Pages: 574-581
Publisher: University of Technology الجامعة التكنولوجية

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Abstract

Fatigue analysis helps in predicting life of the component and seeks improvements of the whole process in design phase. Efforts are continually made to combat the fatigue phenomenon, yet certain mechanical components are still failing due to fatigue. The present work proposes a laminated design of beams, which undergo fatigue. The well-known Paris-Erdogan formula was used to theoretically predict fatigue life of the proposed design. The design was shown to enhance fatigue properties through laminating the cross section of the component; Barriers in front of a propagating crack is deliberately included by lamination. Spectacular levels of improvement in the fatigue life of up to 102% were achieved by replacing the monolithic type by only seven laminates. The present analysis was proved efficient in verifying the anticipated improvement acquired by the proposed design of laminated beams.


Article
Prediction variation in asphalt pavement temperature during summer season in Ramadi city, Anbar Province, Iraq.
التنبؤ بتغير درجات حرارة التبليط الاسفلتي خلال فصل الصيف لمدينة الرمادي ، محافظة الانبار، العراق

Author: Khalid Awadh خالد عوض
Journal: Iraqi Journal of Civil Engineering المجلة العراقية للهندسة المدنية ISSN: 19927428 Year: 2018 Volume: 12 Issue: 2 Pages: 23-29
Publisher: University of Anbar جامعة الانبار

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Abstract

Asphalt pavement temperatures were estimated at surface and depth of 50 mm. Differences between estimated maximum surface temperatures and maximum air temperatures were found to be remarkably high, whereas the minimum surface temperatures were slightly different from minimum air temperatures. Different studies showed that the maximum pavement temperatures at depth (50 mm) were less than that of the maximum surface temperatures, whereas, minimum pavement temperature at the same depth showed slightly higher readings than that of the minimum surface temperatures.Algorithms that discussed in this research work found to produce remarkably different estimations of depth temperatures. The undergoing research work aims to cast light on the performance of these models in terms of data regarding Anbar province of Iraq.

تم تقدير درجات حرارة اسفلت التبليط عند السطح وعلى عمق 50 ملم. الفروقات بين درجات الحرارة العليا المقدرة عند السطح و درجات حرارة الهواء كانت عالية، بينما كانت الفروقات بين درجات الحرارة الدنيا عند السطح و درجات حرارة الهواء تختلف قليلا.عدد من الدراسات بينت ان درجات الحرارة العظمى على عمق 50 ملم هي اقل من نظيراتها عند السطح, بينما درجات الحرارة الدنيا عند نفس العمق تختلف قليلا مع نظيراتها عند السطح.الخوارزمية التي نوقشت في هذا البحث وجدت فروقات واضحة في تقديرات درجات الحرارة عند العمق. لقد كان هدف هذا البحث القاء الضوء على انجاز النماذج المستخدمة للتقدير على بيانات لمحافظة الانبار-العراق.


Article
Hybrid Approach of Prediction Daily Maximum and Minimum Air Temperature for Baghdad City by Used Artificial Neural Network and Simulated Annealing

Author: Hind Saleem Ibrahim Harba
Journal: Iraqi Journal of Science المجلة العراقية للعلوم ISSN: 00672904/23121637 Year: 2018 Volume: 59 Issue: 1C Pages: 591-599
Publisher: Baghdad University جامعة بغداد

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Abstract

Temperature predicting is the utilization to forecast the condition of the temperature for an upcoming date for a given area. Temperature predictions are done by gathering quantitative data in regard to the current state of the atmosphere. In this study, a proposed hybrid method to predication the daily maximum and minimum air temperature of Baghdad city which combines standard backpropagation with simulated annealing (SA). Simulated Annealing Algorithm are used for weights optimization for recurrent multi-layer neural network system. Experimental tests had been implemented using the data of maximum and minimum air temperature for month of July of Baghdad city that got from local records of Iraqi Meteorological Organization and Seismology (IMOS) in period between 2010 to 2016. The results show that the proposed hybrid method got a high accuracy prediction results that reach nearly from real temperature records of desired year.


Article
Intelligent Age Estimation From Facial Images Using Machine Learning Techniques

Authors: Asaad R. Kareem --- Ayad R. Abbas
Journal: Iraqi Journal of Science المجلة العراقية للعلوم ISSN: 00672904/23121637 Year: 2018 Volume: 59 Issue: 2A Pages: 724-732
Publisher: Baghdad University جامعة بغداد

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Abstract

Lately, a growing interest has been emerging in age estimation from face images because of the wide range of potential implementations in law enforcement, security control, and human computer interactions. Nevertheless, in spite of the advances in age estimation, it is still a challenging issue. This is due to the fact that face aging process is not only set by distinct elements, such as genetic factors, but by extrinsic factors, such as lifestyle, expressions, and environment as well. This paper applied machine learning technique to intelligent age estimation from facial images using J48 classifier on FG_NET dataset. The proposed work consists of three phases; the first phase is image preprocessing which include five stages: gray scale image, noise removable, face detection, image size normalization and clipping process. The second phase is a data mining process which includes three stages: feature extraction, feature selection and classification using j48 classifier. The third phase includes two stages, estimation and evaluation. FG-NET dataset is used which is divided into three classes; first class represents (3-7), (26-30) ages and this class represents the ages from 3 to 7 years and from 26 to 30 years because this class have four attributes from any one of this images, second class represents (8-25) ages and this class represents the ages from 8 to 25 years because this class have five attributes from any one of this images, last class represents (31-50) ages and have nine attributes from any one of this images. The Experimental results illustrate that the proposed system can give results with high precision and low time complexity. The practical evaluation of the proposed system gives accuracy up to 89.13 % with time taken of 0.023.

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