Journal of Al-Qadisiyah for computer science and mathematics <h3><strong>Journal of &nbsp; Al-Qadisiyah &nbsp;for computer science and mathematics (JQCM) is scientific journal issued by College of computer Science and Information Technology /University of &nbsp;Al-Qadisiyah&nbsp; since 2009&nbsp;&nbsp;periodically 2 times per year and 4 times per year since 2019, number of issues published sincece journal launched is 15 issues.The date of submission and acceptance of the article has been installed on articles published in Vol( 5)&nbsp; upwards, and the date of&nbsp;</strong><strong>available online&nbsp;</strong><strong>of the&nbsp;article has been installed on articles published in&nbsp;Voll(10)&nbsp;upwards.</strong></h3> <h3><strong><span lang="EN-US">ISSN 2521-3504 (Online), ISSN 2074-0204 (Print)</span></strong></h3> University of Al-Qadisiyah en-US Journal of Al-Qadisiyah for computer science and mathematics 2074-0204 The Complex of Lascoux in the Case of partition (7,7,3) <p>The purpose of this paper is to find and study the complex of Lascoux in the case of partition (7,7,3) as a diagram by utilize the concepts of mapping Cone, divided power of place polarization and Capllie identities.</p> Nubras Y Khudair Haytham R. Hassan ##submission.copyrightStatement## 2020-02-12 2020-02-12 12 1 Page 1 – 8 Page 1 – 8 10.29304/jqcm.2020.12.1.656 Combining Cubic B-Spline Galerkin Method with Quadratic Weight Function for Solving Partial Integro-Differential Equations <p>In this article, a numerical scheme was implemented for solving the partial integro-differential equations (PIDEs) with weakly singular kernel by using the cubic B-spline Galerkin method with quadratic B-spline as a weight function. backward Euler scheme was used for time direction and the cubic B-spline Galerkin method with quadratic weight function was used for spatial derivative. We observed from the numerical examples that the proposed method possesses a high degree of efficiency and accuracy. In addition, the numerical results are in suitable agreement with the exact solutions via calculating L_2 and〖 L〗_∞ norms errors. Theoretically, we discussed the stable evaluation of the current method using the Von-Neumann method, which explained that the present technique is unconditionally stable.</p> Hameeda O. Al-Humedi Zahraa Adnan jameel ##submission.copyrightStatement## 2020-02-17 2020-02-17 12 1 Page 9 – 20 Page 9 – 20 10.29304/jqcm.2020.12.1.660 Influence of a Rotating Frame on the Peristaltic Flow of a Rabinowitsch Fluid Model in an Inclined Channel <p>The article deals with the simultaneous existence of inclination and rotation on the peristaltic activity of the Rabinowitsch fluid model on a symmetric inclined channel. The heat transfer analysis and heat source/sink are taken into consideration. The governing equations are addressed using the low -Reynolds and infinite wave approximations. The system of ordinary differential equations is obtained from nonlinear partial differential equations and solved numerically. The axial velocity, secondary velocity, temperature field, and stream function were calculated and analyzed. The influences of the physical parameters are discussed graphically, and the study revealed that the rotation enhances the axial velocity, secondary velocity, and temperature field.</p> Saba S. Hasen Ahmed M. Abdulhadi ##submission.copyrightStatement## 2020-02-18 2020-02-18 12 1 Page 21 – 33 Page 21 – 33 10.29304/jqcm.2020.12.1.661 First Chebyshev Wavelet in Numerical Solution and Signal Processing <p>In this work, a kind of wavelet used in many mathematical problems and numerically solved, such as heterogeneity and integral equations, are presented. The solution is close to the exact solution using the matrix of integral operations. In this paper, the issues of limited value were solved and good solutions were found. Solved examples show that.<br>In addition, the proposed theory was used to process signals for one dimension and the noise and signal pressure were removed this was applied to some kind of signal.</p> Zina KH. Alabacy Asma Abdulelah Abdulrahman ##submission.copyrightStatement## 2020-02-18 2020-02-18 12 1 Page 34 – 41 Page 34 – 41 10.29304/jqcm.2020.12.1.663 Use of Exponential Holt Model and the Box-Jenkins Methodology in Predicting the Time Series of Cement Production in Sudan <p>This study examines the prediction in time series of industrial production, showing how the accuracy of predictions obtained by the statistical models used in the study, and the ability of these models to deal with changes in time series data and the changes on the performance of these models. The study aimed mainly to find the most suitable and best statistical forecasting models to be used in the process of forecasting cement production in Sudan. Using the Box-Jenkins methodology and the exponential smoothing method (Holt model), a number of models were constructed for the study sample of the time series of cement production in Sudan. The results of the study showed that the Box-Jenkins model outperformed the Holt model, where the comparative criteria indicators indicated the preference of the ARIMA model (2,1,1). Standards. The results showed that the results of future predictions obtained using the selected model ARIMA (2,1,1) are all within the limits of confidence, which indicates the quality and accuracy of this model in the prediction. Prediction values have indicated an increase in productivity over the next 10 years. Random changes were the most important factors that directly affected the performance of both models, but they were more effective in reducing the efficiency of the Holt exponential model compared to the Box-Jenkins model.</p> Emad Yagoub Hamid Mohammed Hassan Osman Abushaba ##submission.copyrightStatement## 2020-02-19 2020-02-19 12 1 Page 42 – 59 Page 42 – 59 10.29304/jqcm.2020.12.1.666 On DG- Topological operators Associated with Digraphs <p>In this paper ,we introduced new concepts of DG- topological operators such as DG- closuer ,DG- kernel ,DG- cor, and DG-intiorer and we investigated certain types between the digraphs and the topology by associated new topology on a digraph named DG- topological space .</p> Khalid Shea Khaiarallha Al’Dzhabri Abedal-Hamza Mahdi Hamza Yousif Saheb Eissa ##submission.copyrightStatement## 2020-02-23 2020-02-23 12 1 Page 60 – 71 Page 60 – 71 10.29304/jqcm.2020.12.1.668 Oscillation and Asymptotic Behavior of Solution of nth Order System Nonlinear of Neutral Differential Equation <p>In this paper, authors obtained sufficient conditions to ensure that every bounded solution of nth order nonlinear neutral differential system oscillates or nonoscillatory converges to zero as t→∞, some examples were given to explain the results obtained.</p> Noor Abdulameer Abdulkareem Tongxing Li Hussain Ali Mohamad ##submission.copyrightStatement## 2020-02-23 2020-02-23 12 1 Page 72 – 82 Page 72 – 82 10.29304/jqcm.2020.12.1.669 On Normal Subgroups Lattice of Dihedral Group <p>In this paper, we obtain subgroup and normal subgroup lattices of dihedral group . we also give the Hasse diagrams of these lattices of&nbsp;&nbsp;&nbsp;D<sub>2p&nbsp; &nbsp;.</sub></p> Husein Hadi Abbass Shatha Abdul-Hussein Kadhim Ali Hussein Battor ##submission.copyrightStatement## 2020-03-11 2020-03-11 12 1 Page 83– 95 Page 83– 95 10.29304/jqcm.2020.12.1.675 New Concept on Fourth-Order Differential Subordination and Superordination with Some Results for Multivalent Analytic Functions <p>In this paper, we introduce new concept that is fourth-order differential subordination and superordination associated with differential linear operator &nbsp;in open unit disk. Also, we obtain some new results.</p> Waggas Galib Atshan Ihsan Ali Abbas Sibel Yalcin ##submission.copyrightStatement## 2020-03-18 2020-03-18 12 1 Page 96 107 10.29304/jqcm.2020.12.1.681 Differential Sandwich Theorems for Univalent Functions Involving a Differential Operator <p>In the present paper, we obtain some subordination and superordination results involving the differential operator &nbsp;for certain normalized analytic functions in the open unit disk. These results are applied to obtain sandwich results.</p> Waggas Galib Atshan Rasha Abbas Hadi ##submission.copyrightStatement## 2020-03-19 2020-03-19 12 1 Page 108– 119 Page 108– 119 10.29304/jqcm.2020.12.1.682 Quick Response Code for Controlling Web of Things <p>It is widely acknowledged that the current Internet of Things (IoT) ecosystem is highly fragmented. The Web of Things (WoT) aims to counter the fragmentation using the principles of Web, standardized metadata and APIs. QR i.e. "Quick Response" code is a 2D matrix code that is designed by keeping two points under consideration, i.e. it must store large amount of data as compared to 1D barcodes and it must be decoded at high speed using any handheld device like phones. QR code provides high data storage capacity, fast scanning, omnidirectional readability, and many other advantages including, error-correction (so that damaged code can also be read successfully) and different type of versions. Different varieties of QR code symbols like logo QR code, encrypted QR code, iQR Code are also available so that user can choose among them according to their need. The WoT relies exclusively on application level protocols and tools. Web protocols are a critical factor in the successful implementation of the WoT. However, one of the main issues is web latency that may significantly affect the real-time performance of IoT systems. Some pioneer open stages and models are likewise shown. The latest research results are painstakingly outlined. Moreover, numerous efficient examinations are made to give the understanding in the advancement and eventual fate of WoT. At last, we call attention to some open testing issues that will be confronted and handled by research network.</p> Hassan Khalil Selman Akbas Ezaldeen Ali ##submission.copyrightStatement## 2020-02-13 2020-02-13 12 1 Page 1 – 9 Page 1 – 9 10.29304/jqcm.2020.12.1.657 A Review of Image Retrieval Based on Ontology model <p>Online retrieval systems for specified Information is more growth, so the need for efficient retrieval schemes become more significant area to employ user’s need. Ontology based image retrieval consider more precisely method. In image retrieval system, the necessity for effective technique to achieve image matching. In this paper image retrieval techniques and methodologies are reviewed and concern with Ontology based image retrieval, like "Content based image retrieval (CBIR)" with the extracted significant features (such as: color, texture, and shape features) from the image for using in image matching. Other methodologies are "Text based image retrieval (TBIR)" and "Ontology based image retrieval".</p> Narjis Mezaal Shati Noor khalid Ibrahim Taha Mohammed Hasan ##submission.copyrightStatement## 2020-02-16 2020-02-16 12 1 Page 10 – 14 Page 10 – 14 10.29304/jqcm.2020.12.1.658 Performance Analysis of Noise Removal Techniques For Digital Images <p>Noise has impairment effect on image so it destroys its information. In order to overcome this problem, it is necessary to remove noise before extracting information and image processing as one of the preprocessing steps. A brief overview of various sources and types of image noise as well as noise removal technique of digital images has been produced in this paper. The general idea of this paper is to perform segmentation of the corrupted image before using noise removal filter. Noise removal filter has been used to eliminate noise for each segment of image individually after segmentation process. Then comparative study between noise removal filtering for whole image and segmentation based method has been produced with performance analysis in terms of MSE and PSNR. In this paper, MSE and PSNR are calculated for the resultant reconstructed image compared with the original image. Six image samples are used to test the Segmentation based noise removal approach. The segmentation based technique has shown best results in terms of MSE and PSNR in comparison with traditional noise removal method based filter. <br>Simulation result show that MSE is less and PSNR is high using segmentation based noise removal method especially for image which has more details, so it superior performance as compared to the traditional method.</p> Wasan A. Alawsi Zahraa Ch. Oleiwi Ali H. Alwan Maytham K. Fadhil Hayder M. Hadi Nagham K. Hadi ##submission.copyrightStatement## 2020-02-16 2020-02-16 12 1 Page 15 – 25 Page 15 – 25 10.29304/jqcm.2020.12.1.659 Multi Discrete Laguerre Wavelets Transforms with The Mathematical aspects <p>The Linear approximation, means the order of smoothness of the void function. As for non-linear approximation, when compared to linear approximation, a significant improvement in the arrangement of approximation can be observed.</p> <p>In this paper the theorems of linear approximation and non-linear approximation are demonstrated, Moreover, some hypotheses were orthogonal theorem is proven</p> <p>many important theorems will be proven and proven in formation Multi Discrete&nbsp; Laguerre Wavelets Transform (MDLWT) so that they take&nbsp; their role in signal or image processing,&nbsp; this makes them possess properties like those they have those used for the same purpose and with high efficiency.</p> <p>&nbsp;In second part in this paper, the new wavelet MDLWT was used after extracting the filter high pass filter&nbsp; and&nbsp; low pass filter by extracting the decision trees for the transactions where the new wavelet was used in image processing and mean square error (MSE), Peak signal-to-noise ratio (PSNR), Bits per pixel ratio (BPP) and Compression ratio (CR) were calculated, and the applications were done on 4 samples which good results have been found to prove the efficiency of the new wavelet</p> Ali Malik Hadi Asma Abdulelah Abdulrahman ##submission.copyrightStatement## 2020-03-09 2020-03-09 12 1 Page 26 37 10.29304/jqcm.2020.12.1.672 A Review on Fractal Image Compression Using Optimization Techniques <p>Image compression is an important process that has many possible application areas. The major blemish of fractal image compression is the time consuming compared to other image compression approaches. Image compression is the most essential requirement for efficient utilization of storage space and transmission bandwidth. Image compression techniques are responsible for decreasing the size of the image and keeping the quality of the recovered image. Presently many image compression algorithms are utilized to deal with the growing number of data concerned; still, area of research is to find an alternative solution to this problem. Therefore, to overcome this obstacle uses optimization techniques to solve this problem and reduces search space to find self-similarity in the given image. This review provides a study of many these techniques like Genetic Algorithm (GA), Crowding Optimization Method (COM), Particle Swarm Optimization (PSO) and Harmony Search Algorithm (HAS) and how using them in fractal image compression.</p> Shaimaa S. AL-Bundi Mustafa S. Abd ##submission.copyrightStatement## 2020-03-10 2020-03-10 12 1 Page 38 48 10.29304/jqcm.2020.12.1.674 An algorithm for a modified computation of Dedekind sums <p>The purpose of this paper is to present an algorithm that compute&nbsp; Dedekind sums <em>s(a, b) .This algorithm implemented by using essential definition of Dedekind sum .since </em>these sums arise in the theory of modular forms and in number theory as well as in various other areas of mathematics. These sums are rational numbers and a table of the exact values is given. Some applications for the important of Dedekind sums were presented.&nbsp;</p> Iman S. Hadeed Shatha A. Salman ##submission.copyrightStatement## 2020-03-11 2020-03-11 12 1 Page 49 53 10.29304/jqcm.2020.12.1.680 Robustness and Comparison of Wilks’ Test Statistic for Two-Way MANOVA <p>The classical Wilks’ statistic is mostly used to test hypotheses in the two way multivariate analysis of variance (MANOVA), which is highly sensitive to the effects of outliers. The non-robustness of test statistics based on normal theory has lead many researchers to study different options. In this paper, we presented a robust version of the Wilks’ test statistic based on highly robust and efficient is&nbsp; reweighted minimum covariance determinant estimates (RMCD). Monte Carlo simulations are used to evaluate the performance of the test statistics under various distributions. In addition, type I error rate results and test power are considered as statistical tools for comparing test statistics.</p> Abdullah A. Ameen Aseel A. Jaaze ##submission.copyrightStatement## 2020-03-10 2020-03-10 12 1 Page 1 – 23 Page 1 – 23 10.29304/jqcm.2020.12.1.673