Table of content

Journal of Al-Qadisiyah for Computer Science and Mathematics

مجلة القادسية لعلوم الحاسوب والرياضيات

ISSN: 20740204 / 25213504
Publisher: Al-Qadisiyah University
Faculty: Computer Science and Mathematics
Language: English

This journal is Open Access

About

The journal of Al-Qadisiyah of computer science and mathematics is refereed journal holding ISSN (print)2074 – 0204, ISSN(online)2521-3504 . The journal accept original research papers to the editor , this journal covers subjects that include computer science, mathematics and Statistics & Information , is two issues per year, contributions in English and Arabic languages are accepted for submission provided that they conform to the universally accepted rules of scientific research.

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009647821338166

Journalcm@qu.edu.iq
qhaq2010@gmail.com

Table of content: 2014 volume:6 issue:1

Article
Requirements validation techniques :A case of prototype of the Technical Institute for Administration

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Abstract

requirements validation techniques (RVTs) play important role to detect possible defects in the requirements (functional, non-functional ). Prototypes are good way to demonstrate the requirements and help stakeholders discover problems. The key advantage of a prototyping-based methodology is that it very quickly provides a system for the users to interact with, even if it is not initially ready for widespread organizational use. The proposed web application has been tested based on the usability, System quality has a considerable effect on ease of use and does directly influence the users' intention to use the TIAS in the future. The analysis indicates that the attractiveness of the user interface, performance and the functionalities are critical success factors of TIAS acceptance. the mean of intention to use and ease of use are respectively 3.77 and 3.54 on a 5-point Likert scale. These results show that TIAS is well accepted in general.


Article
طريقة لحساب التكاملات الثنائية المستمرة عدديا

Authors: وفاء هادي حنون
Pages: 1-8
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Abstract

إستعملنا في بحثنا هذا طريقة لحساب قيم تقريبية للتكاملات الثنائية والتي مكاملاتها مستمرة بإستخدام القاعدتين شبه المنحرف والنقطة الوسطى لان القيم الـتقريبـية الناتـجة من قاعدة شبه المنحرف تكون سريعة في الإقتراب إلى القيم الحقيقية للتكاملات مقارنة بصيغ نيوتن- كوتس الأخرى .ساستري[5] وكانداسمي[ 4 ] أما بالنسبة لقاعدة النقطة الوسطى لإمكانية استخدامها في حساب التكاملات المستمرة أوغير المستمرة في منطقة التكامل إذ أنها لاتستخدم قيم دالة التكامل في نهايتي فترة التكامـل ورمز هذه الطريقة هو . حيث ( عدد الفترات الجزئية التي تجزأ إليها الفترة ) مساوية إلى ( عدد الفترات الجزئية التي تجزأ إليها الفترة ) آذ أن وقد قمنا بتعجيل تقارب النتائج الى القيم الحقيقية للتكاملات بتطبيق تعجيل ايتكن على القاعدة المركبة لنحصل على قاعدة جديدة أسميناها حيث ان الرمز يشير الى طريقة تعجيل ايتكن والرمز ( قاعدة النقطة الوسطى على البعد الخارجي وقاعدة شبه المنحرف على البعد الداخلي ).

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Article
Forecasting of electricity power consumption in AL - Qadisiya province by using time series models & Artificial neural networks models
التنبؤ باستهلاك الطاقة الكهربائية في محافظة القادسية باستخدام نماذج السلاسل الزمنية ونماذج الشبكات العصبية الاصطناعية

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Abstract

The time series analysis is considered of the important statistics topics which concerned with the study phenomena behavior and interpret them at periods of time. Through a general description of time series and forming a suitable model for time series behavior interpretation for forecasting . The aim of research is to build a forecasting model to the electricity power consumption in AL - Qadisiya province at the period (2005 - 2012) by using Box Jenkins model in time series and Artificial Neural Networks (ANN) model . The results showed superiority of artificial neural networks by using some error criterion. يعد موضوع تحليل السلاسل الزمنية من المواضيع الإحصائية المهمة التي تهتم بدراسة سلوك الظواهـر وتفسيرها عبر فترات زمنية محددة , من خلال وصف عام للسلسلة الزمنية وبناء نموذج لتفسير سلوكها لغرض التنبؤ. يهدف البحث إلى بناء نموذج تنبؤي باستهلاك الطاقة الكهربائية في محافظة القادسية للفترة (2005- 2012) باستخدام نموذج بوكس – جنكينز في السلاسل الزمنية ونموذج الشبكات العصبية الاصطناعية وقد أظهرت النتائج تفوق نموذج الشبكات العصبية الاصطناعية من خلال تطبيق بعض معايير الخطأ.

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Article
Automated ovarian masses extraction in CT images based on division of image

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Abstract

Medical image processing is the most challenging field now a days. Processing of CT ovarian images is one of the part of this field.The goal of this work is to present a method for detection of ovarian mass from Computed Tomography Image and determine location as well as calculation area of it. Preprocessing of the CT image includes image resizing, conversion to gray and enhancement makes it ready for applying the processing phase which applied operations on processed image by histogram and marker controlled watershed segmentation to segment it to a set of segment that collectively cover the entire image ,then apply morphological operations to visualize only parts of masses in CT images. Because of the nature of ovarian CT images which contain left and right lobes, a proposed algorithm to division the images after extraction the masses into two images and then apply algorithm to calculate the area of mass in each parts of image. when execute the proposed method, the results obtained are good compared with calculation area of the mass of the ovarian extracted by the region of interest algorithm (ROI) using cursor. A detailed procedure using Matlab (R2010a) software is written to extract mass region in CT Scan ovarian Image.


Article
تقدير معلمات توزيع الرياح الترابية لمدينة الديوانية

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Abstract

This paper compares between maximum likelihood and bayes estimators of scale parameter and reliability (of Rayleigh distribution and the normal distribution) according to actual data of temperature, wind speed and dust ratio of Ad-Diwaniya city from interval 1998 to 2010 of temperature and wind speed and from 1990 to 2008 to dust ratio, The statistical scale used is mean square error and mean absolute percentage error as a base of comparison. it is concluded that bayes extension estimator when C1=3 is the best in temperature (max.,min.) and wind speed, but Maximum likelihood estimator is the best in dust ratio. تم في هذا البحث المقارنة بين مقدرات الإمكان الأعظم ومقدرات البيز لمعلمة القياس ومعولية توزيع رايلي والتوزيع الطبيعي. وباستخدام بيانات حقيقية لكل من ( درجة الحرارة, سرعة الرياح, نسبة الغبار) لمدينة الديوانية للفترة من 1998 إلى 2010 بالنسبة لدرجة الحرارة وسرعة الرياح ومن 1990 إلى 2008 لنسبة الغبار, واعتمد المقياس الإحصائي متوسط مربع الخطأ ومتوسط مربع الخطأ النسبي المطلق كأساس للمقارنة, وتوصل إلى أن مقدر توسيع بيز عندما C1 = 3 هي الأفضل في كل من درجة الحرارة العظمى والصغرى وسرعة الرياح, أما في نسبة الغبار فان التقدير بطريقة الإمكان الأعظم هي الأفضل.

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Article
Medical Image Enhancement based on Adaptive Histogram Equalization and Contrast Stretching

Authors: Rana M. Ghadban
Pages: 28-37
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Abstract

Image enhancement techniques aim to improve the quality of images. In field of medical image processing, low contrast is considered as one of the main and most important issues. As Histogram Equalization (HE) is an effective and simple technique, it is widely used as contrast enhancement. In this paper, efficient method to enhance the quality of medical images has been proposed. This method depends on Discrete Wavelet Transform (DWT) to decompose an input image as the first step. HE and contrast stretching were carried out on the results of DWT separately. Adaptive Histogram Equalization (AHE) was applied on the main part that is resulted from DWT. Contrast stretching was applied on the remaining parts. The results that been gotten showed goodness and efficiency of the proposed method.


Article
Brain MRI Enhancement using Brightness Preserving Dynamic Fuzzy Histogram Equalization

Authors: Hikmat Z. Neima
Pages: 38-51
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Abstract

In the field of digital image processing, medical imaging is one of the most important applications areas. However; low contrast and poor quality are the main issues in medical image. So it is essential to enhance images so that the result is more suitable for post processing and diagnosis. Histogram equalization has been proved as an effective and simple technique used as contrast enhancer. This paper presents an efficient method for brain MRI image enhancement. Discrete Wavelet Transform (DWT) has been utilized to decompose MRI image. Brightness Preserving Dynamic Fuzzy Histogram Equalization (BPDFHE) applied on the important part of the decomposed image. Finally, inverse of discrete wavelet transform is carried out to get the enhanced image. Experiments results that were obtained showed the effectiveness of proposed method.


Article
Predictive Model based on Logical Analysis of Data

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Abstract

Logical Analysis of Data is a technique that used in finding a specific pattern. In Data mining, using this technique through learning process with available data set in order to extract a useful pattern. Then use it in different tasks. So in this paper, we apply this framework in construction a predictive model based on the useful extracted patterns concerned with the pattern sets generation. The practical work testing this predictive model, would be performed based on data set of disease that convenient with the nature of this technique. The data would be obtained from UCI web site for experimented data set.


Article
Local Search Methods to Solve Multiple Objective Function

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Abstract

In this paper we considered the problem of scheduling n jobs on a single machine. Our aim in this study is to find the near optimal solution to minimize the cost of total flow time and maximum earliness with unequal ready times. Different local search methods: (Descent Method, Adjacent Pairwise Interchange Method, Simulated Annealing, Genetic Algorithm) are developed, compared, and tested for the problem. We investigate the influence of the parameters variance for these local search methods, and empirically analyze their starting solutions. Computational experience found that these local search algorithms can solve the problem up to (23000) jobs with reasonable time. Also we found that: the Genetic algorithm is the best local search heuristic algorithm for our problem when the size is less than or equal to (1500) jobs, and for problems of large size the Simulated Annealing was recommended.


Article
Bounds on the Wave Speed

Authors: Ali Hussein Shuaa Al-Taie
Pages: 75-85
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Abstract

[1]. By constructing appropriate sub- and super-solutions to this system −cu′ = u′′ + f(u, v), −cv′ = ϵ2v′′ + g(u, v), (u, v)(−∞) = S−, (u, v)(∞) = S+ (1) Where, we are interested in component-wise monotone travelling wave solutions of the system of equations ut= uxx+ f(u, v), vt= ϵ2vxx+ g(u, v), (2) for (x, t ) ∈R × R+ for which the asymptotic conditions (u, v)(−∞, t) = S−, (u, v)(∞, t) = S+, t >0 (3) are satisfied. Similar to those introduced in [3] and using essentially identical arguments, itcan be shown that −K ≤ c ≤ Lϵ,(4) whereK and L are positive constants independent of ϵ. One immediate consequenceof this result is that in the limit ϵ → 0 only left travelling waves exist.We investigate the sharpness of these bounds in the special case of CLV kinetics.We show that: the bounds of the wave speed given in [4] are optimal for the given leftand right solutions (sub-solutions and super-solutions).

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Table of content: volume:6 issue:1