JOURNAL OF UNIVERSITY OF BABYLON for Pure and Applied Sciences

Journal Information
ISSN / EISSN : 1992-0652 / 2312-8135
Current Publisher: University of Babylon (10.29196)
Total articles ≅ 219

Latest articles in this journal

Aesa Farhan
JOURNAL OF UNIVERSITY OF BABYLON for Pure and Applied Sciences, Volume 27, pp 406-419; doi:10.29196/jubpas.v27i3.2554

The complexes of Co(II), Cu(II) and Ni(II) were synthesized by using schiff base – azo as a ligand, which were prepared under this study by the reaction between the Schiff base diazonium salt and the imidazole derevitive. They were characterized by element analysis, FTIR spectroscopy and UV.VIS. spectroscopy. Their electric conductivity and magnetic features were determined. Their stepwise and overall stability constants and their thermodynamic data ( , and ) were determined. The results showed that all the complexes have paramagnetic features and all of them have good conductivity. The formula of the complexes under this paper were suggested by using the mole ratio method which lead to the formation of (1 : 2) metal : ligand formula for all the complexes. In all the complexes the coordinated sites was through N atoms of the azo groups and N atom of the imidazol ring. The suggested geometrical shapes of the complexes was the octahedral shape due to the ( d2sp3 ) hybridization. Their stepwise stability constants were determined, it was found that for all the complexes they were increased toward the addition of ligand that because of the chelate effect. Their overall stability constants were determined, it was found that for all the complexes were high that because of the chelate effect. Their thermodynamic functions ( , and ) were had negative value, that refer to good stability for the complexes and these results were satisfied with the spontaneous reaction and high stability complexes.
Taiwo Abass Ishola, Olatayo Timothy Olabisi, Adesanya Kazeem Kehinde
JOURNAL OF UNIVERSITY OF BABYLON for Pure and Applied Sciences, Volume 27, pp 519-526; doi:10.29196/jubpas.v27i1.2208

Trigonometric Polynomial Regression is a form of non-linear regression in which the relationship between the outcome variable and risk variable is Fractional modeled as 1/nth degree polynomial regression by combining the function of cos(nx) and sin(nx) on the value of natural numbers. The model was used to analyze the relationship between three continuous and periodic variables. Coefficients of the model were estimated using the Maximum Likelihood Estimate (MLE) method. From the results, the model obtained indicated that an increased in body mass index will increase the level of blood pressure while age may or may not have an influence on the blood pressure level. The values of the Coefficient of variation showed the variation in the dependent variable was well explained by the independent variables and the value of the adjusted coefficient of determination showed the model had a good fit with a high level of predictive power.
Muthana Sabah Azawy, Ammar Abid-Alwahid Issa
JOURNAL OF UNIVERSITY OF BABYLON for Pure and Applied Sciences, Volume 27, pp 228-237; doi:10.29196/jubpas.v27i1.2116

Studies have been done in seven hatchenis in in Mahawil district/Babil from the period 15/3 to 15/5 to identify the body and reproductive characteristics between common carp brood stock which was imported in 2009 containing this shiny line of scales that exists dorsal fin of carp and which is without shiny line of scales was imported in 1982. Body characteristic results showed significant difference P ‹ 0.05 between two brood stock according to body depth/standard length feature, so they reached an average of this feature in common carp shiny line of scales 0.003 ± 0.389 higher than those containing no shiny line reached 0.002 ± 0.369, whereas no significant differences was shown between two brood stock for fish weight and head length/ standard length. Reproductive characteristic study showed significant difference P ‹ 0.05 for shiny line brood stock for each total eggs weight(gm) , eggs number /gm eggs , eggs weight/kg fish and fertilization percentage characteristic , which reached an average of 26.62 ± 520.28, 4.46 ± 764.60, 94.76 ± 159.2, 0.33 ± 82.91 respectively, higher than of those without shiny line brood stock which reached average of 21.32 ± 461.42, 4.44 ± 711.15, 4.42 ± 147.73 respectively, whereas significant difference was shown in egg diameter characteristic for containing no shiny line brood stock which reached 0.01 ± 1.411 where brood stock of shiny line reached average of 0.01 ± 1.38 and no significant differences were showed between two brood stock in eggs number/ kg fish. That an increase of crossbreeding between different lines for common carp of brood stock do in improve somatic and reproductive characteristics of inbreeding and prevents deteriorating.
Mithaq Nama Raheema, Ahmad Shaker Abdullah
JOURNAL OF UNIVERSITY OF BABYLON for Pure and Applied Sciences, Volume 27, pp 238-248; doi:10.29196/jubpas.v27i1.2117

This paper proposes the Adaptive Neuro-Fuzzy Interference System (ANFIS) method to realize the track correlation of Radar. ANFIS is used for the first time in inverse model in addition to model of aircraft position radar from the recorded data. The simulation results show that the proposed ANFIS controller has been successfully implemented. Root mean square error is applied to measure the performance of ANFIS that revealed the optimal setting needed for better estimation of the aircraft position. Results with RMSE less than 10-4 also show that the controller with ANFIS yields good tracking performance, valuable and easy to implement.
Jarutas Pattanaphanchai, Koranat Leelertpanyakul, Napa Theppalak
JOURNAL OF UNIVERSITY OF BABYLON for Pure and Applied Sciences, Volume 27, pp 356-367; doi:10.29196/jubpas.v27i1.2191

The student’s retention rate is one of the challenging issues that representing the quality of the university. A high dropout rate of students affects not only the reputation of the university but also the students’ career in the future. Therefore, there is a need of student dropout analysis in order to improve the academic plan and management to reduce students drop out from the university as well as to enhance the quality of the higher education system. Data mining technique provides powerful methods for analysis and the prediction the dropout. This paper proposes a model for predicting students’ dropout using the dataset from the representative of the largest public university in the Southen part of Thailand. In this study, data from Faculty of Science, Prince of Songkla University was collected from academic year of 2013 to 2017. The experiment result shows that JRip rule induction is the best technique to generate a prediction model receiving the highest accuracy value of 77.30%. The results highlight the potential prediction model that can be used to detect the early state of dropping out of the student which the university can provide supporting program to improve the student retention rate
Mohanad O. Abdullah Al-Jubouri, Abdul-Razak M. Mohamed
JOURNAL OF UNIVERSITY OF BABYLON for Pure and Applied Sciences, Volume 27, pp 306-316; doi:10.29196/jubpas.v27i2.2223

Some biological characteristics of shabbot, Arabibarbus grypus (Heckel, 1843) in the Al-Diwaniya River, middle of Iraq were studied from October 2016 to September 2017. Water temperature ranged from 10.2oC in March to 32.8oC in August. A total of 853 fish were caught by seine, gill and cast nets and electro-fishing. A. grypus constituted about 6.27% of the total fish catch. The length-weight relationship was W=0.021*L2.7548 revealing an allometric growth. The mean relative condition factor was 0.91. Five age groups wore recorded and their mean total lengths were 20.2, 32.0, 39.0, 43.9 and 48.4 cm, respectively. The growth model of the species was Lt= 58 [1-e -0.39 (t-0.313)]. The growth performance index (?) of A. grypus was computed as 3.11. The study declares that the species is a omnivore, feeding mainly on aquatic plants, insects, algae and detritus. The overall sex ratio (female: male) was 1.47:1. The highest values of gonado- somatic index (GSI) were 4.20 for female and 1.78 for males in April. The fecundity of the species ranged from 75600 to 124200 eggs.
Salwa Salman Abed, Anaam Neamah Faraj
JOURNAL OF UNIVERSITY OF BABYLON for Pure and Applied Sciences, Volume 27, pp 329-340; doi:10.29196/jubpas.v27i2.2228

Iterated function space is a method to construct fractals and the results are self-similar. In this paper, we introduce the Hutchinson Barnsley operator (shortly, operator) on a metric space and employ its theory to construct a fractal set as its unique fixed point by using Ciric type generalized -contraction in complete metric space. In addition, some concepts are illustrated by numerical examples.
Hussein Altabrawee, Osama Abdul Jaleel Ali, Samir Qaisar Ajmi
JOURNAL OF UNIVERSITY OF BABYLON for Pure and Applied Sciences, Volume 27, pp 194-205; doi:10.29196/jubpas.v27i1.2108

The ultimate goal of any educational institution is offering the best educational experience and knowledge to the students. Identifying the students who need extra support and taking the appropriate actions to enhance their performance plays an important role in achieving that goal. In this research, four machine learning techniques have been used to build a classifier that can predict the performance of the students in a computer science subject that is offered by Al-Muthanna University (MU), College Of Humanities. The machine learning techniques include Artificial Neural Network, Naïve Bayes, Decision Tree, and Logistic Regression. This research pays extra attention to the effect of using the internet as a learning resource and the effect of the time spent by students on social networks on the students’ performance. These effects introduced by using features that measure whether the student uses the internet for learning and the time spent on the social networks by the students. The models have been compared using the ROC index performance measure and the classification accuracy. In addition, different measures have been computed such as the classification error, precision, recall, and the F measure. The dataset used to build the models is collected based on a survey given to the students and the students’ grade book. The ANN (fully connected feed forward multilayer ANN) model achieved the best performance that is equal to 0.807 and achieved the best classification accuracy that is equal to 77.04%. In addition, the decision tree model identified five factors as important factors which influence the performance of the students.
Sahar Hussein Tkhyel, Raad Taha Mohammed Ali Balaket
JOURNAL OF UNIVERSITY OF BABYLON for Pure and Applied Sciences, Volume 27, pp 277-285; doi:10.29196/jubpas.v27i2.2181

An experiment was conducted in the wooden canopy affiliated to the Technical College AL-Musaib during the period from the beginning of March until the end of December, 2017 on local lemon citron seedlings aged seven months and grafted on the two seed roots Sour orange and Sweet lemon to study the effect spray and soil fertilizers feeding of organic TARASOIL CALCIO with concentration(0, 50, 100)ml.L-1and sprays of DECSON with concentration of (0, 10, 20) ml. L-1to study the characteristics of vegetative, The soil fertilization in 11/4/2017, 11/5/2017, 11/9/2017 and 11/10/2017, foliar spray in 74//2017, 7/5/2017, 7/9/2017 and 7/10/2017, the experiment was applied by Completely Randomized Design(C.R.D)as factorial experiment(2×3×3) with three replicates and three seedling and 162 seedlings as a total group, The results were analyzed using the statistical analysis program(Excel). The averages were compared according to the least significant difference(L.S.D)at a probability level of (0.05), The type of rootstock have a significant effect on vegetative, The rootstock of sweet lemon increased plant height, leaves the number, leaf area, while rootstock sour orange increased in the stem, Scion. Stalk of sweet lemon +100ml.L-1TARASOIL CALCIO had a suppressive effect in plant height, leaves number while rootstock sour orange suppressive in stock stem, Scion, leaf area, Stalk of sweet lemon +20 ml.L-1 DECSON had a suppressive effect in plant height, leaf number, leaf area while Sour crease stalk a suppressive in main stem, Scion. sweet lemon stalk+100ml.L-1TARASOIL CALCIO+20 ml.L-1 DECSON had a suppressed in plant height, Scion, leaf number, leaf area, while stalk the orange had a suppressive effect in a stock stem.
Ruzita Ahmad, Fauziah Baharom, Azham Hussain
JOURNAL OF UNIVERSITY OF BABYLON for Pure and Applied Sciences, Volume 27, pp 387-407; doi:10.29196/jubpas.v27i1.2196

The concepts of sustainability is now aware among the software engineering researchers. It has direct and indirect impacts on three dimensions which are environment, economic and social that results from the development and implementation of the software. Although there are studies on software sustainability evaluation that defines the software sustainability criteria unfortunately, most of the studies are focusing on single criterion rather than come out with holistic criteria of software sustainability. Additionally, the studies also focused on what need to be measured instead of how to perform the evaluation systematically. This limitation was occurred due to lack of defining the measurement goal of each criteria of software sustainability dimensions. Therefore, this study aimed to develop a Goal Oriented Software Sustainability Evaluation Criteria and organize the sustainability criteria using Quality Function Deployment. On top of that, the Goal Oriented Software Sustainability Evaluation Criteria has been constructed using Goal Oriented Measurement approach by adapting the Goal Question Metric method to assist in defining the goal that clearly defined the purposes, perspectives, and point of views of measurement of software sustainability. Hence, the Goal Oriented Software Sustainability Evaluation Criteria provides nine (9) goals and thirty four (34) sub goals for measuring the software sustainability criteria and sub criteria. The findings from the study present a set of criteria and measurement goals which can be used for evaluating software sustainability. The criteria were organized into three dimensions which are environment, economic and social.
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