bluuebunny/crossref_metadata_2025_split huggingface dataset:
Constructing Arabic Language Resources from Google N-gram Dataset
Authors: Qasim Habeeb Imad , Qasim Habeeb Zeyad , Naser Jurn Yaseen , Najm Abdulkhudhur Hanan 
Published: May 2020

Abstract
The Google N-gram dataset contains millions of books in 22 different categories. Therefore, it is used widely as a language resource in natural language processing. The Arabic language has several resources, but most of them are small in size. As with any research, if training resources are large, then the validity of any research is higher. To build a new language resource manually by humans take years to accomplish, but using automatic methods can be done in a few days. Google N-gram dataset does not support the Arabic language yet. This will cause a challenge for researchers who use this dataset for extracting Arabic text. In this paper, an extraction method that can produce a lexicon and N-gram corpus from the English Google N-gram dataset is presented. The steps to build these recourses and to overcome Google N-gram dataset challenges are explained. The experiment results show the success of the proposed method in the automatic construction of the resources in a short time. This method will be useful to researchers in several research fields.
On µ-Semiregular Module
Authors: Mohmmed Eman , Khalid Wasan 
Published: May 2020

Abstract
Let R be an associative ring with identity and let M be right R-module M is called μ-semi hollow module if every finitely generated submodule of M is μ-small submodule of M The purpose of this paper is to give some properties of μ-semi hollow module. Also, we gives conditions under, which the direct sum of μ-semi hollow modules is μ-semi hollow. An R-module is said has a projective μ-cover if there exists an epimorphism f:P→M Where P is a projective R-module and ker (f)≪ P.And study some properties of Projective μ-cover of M. Were studied Moreover, An module M is μ-semiregular module if every cyclic submodule of M is μ-lying summand of M We add some results of μ-semiregular module.
Improve HR Decision-Making Based On Data Mart and OLAP
Authors: Khalaf Hamoud Alaa , Abd Ulkareem Maysaa , Noori Hussain Hisham , Abdulkareem Mohammed Zahraa , Mustafa Salih Gadeer 
Published: May 2020

Abstract
The organizations always need to manage their operations, process the data electronically, and find a platform that help them to support their strategic decisions. The success of the human resource department can reflect overall organizational success. The human resource department professionals try to ensure finding the right person at the right time for the job that fits the person according to skills and qualifications. This task needs a platform that supports making the right decision based on historical managerial information. The data mart is a departmental based decision support system that used departmental data to help decision-makers to support short term decisions. Human resource (HR) data mart is the base stone for building an enterprise data warehouse. The paper presents the implementation process of HR data mart starting from implementing data mart schema to online analytical processing (OLAP) reports. The data mart is implemented on retired employees’ data of Basra Oil Company for over 15 years. A human resource data mart can provide a base platform to perform a different analysis operation to support the right decisions. Different OLAP reports are implemented to help analysts and decision-makers to get the answers for their questions as OLAP queries. Two categories of reports are implemented offline reports using Microsoft Excel Pivot Table 2010 and web OLAP reports using SQL Server Reporting Service 2014 (SSRS). The tools used to implement data mart vary from SQL Server Management Services (SSMS) 2014, SQL Server Integration Service 2014 (SSIS), SQL Server Analytical Service 2014 (SSAS), SQL Server Reporting Service 2014 (SSRS), SQL Server Data Tools 2013 (SSDT), and Microsoft Excel Pivot Table 2010.
Improving Service Quality Using Consumers’ Complaints Data Mart which Effect on Financial Customer Satisfaction
Authors: Khalaf Hamoud Alaa , Noori Hussien Hisham , Akram Fadhil Arwa , Raad Ekal Zahraa 
Published: May 2020

Abstract
One of the best ways to enhance the performance of all companies and manage Customer Satisfaction is to get the consumers’ complaints and analyze them in order to fix them. These complaints represent the consumers’ behavior to the companies and how these company’s response to them. Besides, customers’ satisfaction is the main goal of all companies and this goal cannot achieve if they do not handle the customers’ complaints. The paper represents a framework of complaint data mart construction where the source data are thousands of complaints about services and financial products of companies. The data mart represents the first step to implement an enterprise data warehouse (DW) to support strategic decisions. Reports are constructed to help analysts and decision-makers to support their decisions related to consumers’ complaints and how to improve service quality. Two different categories of on-line analytical processing (OLAP) reports are used, offline and web OLAP reports. The two types of reports provide a deep view of the data and present the analysts with flexible charts that can be used in supporting strategic decisions. SQL Server Management Studio (SSMS), SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS), SQL Server Reporting Services (SSRS) 2014 beside SQL Server Data Tools (SSDT) 2013 is used to build the data mart staging table, schema, cube, and OLAP reports. MS Excel Pivot table 2010 is used also to import the cube and build offline reports and implementing OLAP processes. This data mart can be utilized by consumers themselves besides decision-makers and analysts. The data mart can measure how the companies fix complaints issues and prevent them from occurring again and identify the factors that influence financial customers’ satisfaction.
New Coupled Method for Solving Burger’s Equation
Authors: Tawfiq L N M , Khamas A H 
Published: May 2020

AbstractIn this paper one, two, three-dimensional Burger’s equation have been solved by using efficient method based on coupled new integral transform with homotopy perturbation method. The implementation of the suggested method demonstrates the usefulness in finding solution in wider domain. The practical implications show the effectiveness of proposed method and it is easily implemented in finding solution, since it can be solve the problems without resorting to the frequency domain and discretization.
ESSENTIAL T-hollow-lifting module
Authors: Fandi Firas sh. , Yaseen Sahira M. 
Published: May 2020

Abstract
Let M be a R-module, where R be a commutative ring with identity, In this paper, we defined a new kind of module namely ET-hollow lifting module, Let T be a submodule of M, M is called ET-hollow lifting module if for every sub-module H of M with

M
H

is

E
(

T
+
H

H

)

-hollow, then there exists a direct summand D of M such that

D
⊆
E
(

T
+
D

D

)
c
e

. we introduce some properties of ET-hollow lifting module.
The relationship between the matrices of the two analyses (SVD) and (GSVD)
Authors: Abdul Hameed Jassim Al-kufi Mohammed 
Published: May 2020

Abstract
In this paper we will search in analysis the matrices (SVD) and (GSVD) in terms of the relationship between their matrices after touching and briefly about the idea of each. Where we will two analyze matrices A(m, p) and B(n, p) using the techniques above and we compare between each of the two analyzes ‘for the purpose of reaching a final relationship connecting between the matrices of the two analyze. This relationship can be utilized it in image processors, encryption and image enhancement as well as text and video. Perhaps in a later research we will focus on determining the relationships between the matrices of other analyzes such as (QR) and (LU) analysis.
Frequency Dispersion of the Signal in the Recursive Digital Section of the Second Order
Authors: Hasan Abd Mohammad , Adil Raheem Osamah , Kh-Madhloom Jamal , Bugrov Vladimir 
Published: May 2020

Abstract
The problems of modeling the signal and dispersion properties of a second order recursive section in the integer parameter space are considered. The formulation and solution of the section synthesis problem by selective and dispersive criteria using the methods of integer nonlinear mathematical programming are given. The availability of obtaining both positive and negative frequency dispersion of a signal in a recursive section, as well as the possibility of minimizing dispersion distortions in the system, is shown.
An Evolutionary Approach to Constructing the Minimum Volume Ellipsoid Containing a Set of Points and the Maximum Volume Ellipsoid Embedded in a Set of Points
Authors: Abo-Alsabeh Rewayda , Salhi Abdellah 
Published: May 2020

Abstract
Given a set of points C = {x
1, x
2, …, xm
} ⊆ Rn
, what is the minimum volume ellipsoid that encloses it? Equally interestingly, one may ask: What is the maximum volume ellipsoid that can be embedded in the set of points without containing any? These problems have a number of applications beside being interesting in their own right. In this paper we review the important results concerning these and suggest an evolutionary-type approach for their solution. We will also highlight computational results.
Texture Analysis of Mammogram Using Local Binary Pattern Method
Authors: Farhan Athraa H. , Kamil Mohammed Y. 
Published: May 2020

Abstract
Breast cancer is one of the types of cancer that threatens the lives of women in their 40s. Based on the statistic reports, death-rate can be reduced by early detection of breast cancer. Breast cancer detection in early stages and lessen false positives in radiologist diagnosis can be achieved by combination Computer-Aided Diagnosis (CAD) with mammography. In this work, we offer a feature extraction technique as a method to lessen false-positive in breast mass recognition. Distinguishing explicit breast masses and ordinary tissue is the objective we strive to achieve. The mini-MIAS database of mammograms was used in this paper. LBP is the method that was used to extract features from the ROI. Comprehensive detection of this method can be developed, by taking the ROI inside the ground truth, which is automatically identified in the mini-MIAS and classifier majority voting. Better sensitivity, specificity, and accuracy are observed with a logistic regression classifier.
Create a wealth of security CCTV cameras
Authors: Yeganegi Kamran , Moradi Dawood , Obaid Ahmed J. 
Published: May 2020

Abstract
The use of CCTV is so widespread today that it is widely used in almost every part of the city, public places, homes, shops, passages and even roads outside the city. These cameras are used for specific purposes, but most of them have in common the use of the camera as a tool for continuous surveillance and recording of surrounding events for future use. However, each of them is an independent network. It has been seen and there is no common point and no joint exploitation of this huge investment From a macro perspective, it seems that the existence of continuous networks of CCTVs in the long run will not be cost effective for the economy and the initial investment cost and maintenance costs will be significant. It turns out that field surveys indicate that most of the large networks of CCTV are in government-affiliated institutions, of which their funding is required from public spending. One of the country’s major institutions, There are municipalities that have one of the largest CCTV networks in the country today The major use of this network is mainly for security purposes to secure and control public safety, as well as to monitor and control traffic and to commit possible offenses against offending drivers. Despite the large investment made on this network and a very good context Images are provided for transfer but no other operation.The purpose of this article is to create wealth and add value to the network of security CCTVs. It is clear, however, that surplus operations on the core task of the network should not disrupt the core mission of the network and, in addition, provide different access to the network. This network will also require compliance with network information security.
Application of neural networks in evaluation of key factors of knowledge management system, Case Study: Iranian Companies Based in Alborz Province
Authors: Arbabi Zahra , Yeganegi Kamran , Obaid Ahmed J. 
Published: May 2020

Abstract
Nowadays, when executives talk about “knowledge management”, the discussion is usually prompted by the problem of big data and analytics. Of course, this is not surprising. Extraordinary amounts of complex, rich data on customers, operations, and staff are now available to most managers, but it is difficult to turn that data into useful knowledge. In today’s world, knowledge is regarded as one of the essential assets of any organization and organizations invest heavily in the acquisition, creation, storage, conversion and updating of knowledge. It is thought that if the right experts and the right tools are used for this volume of data, we will have tremendous strategic information. In fact, the ever-changing business environment has led organizations to increasingly strive to promote knowledge and make optimal use of organizational knowledge as a competitive advantage. In this regard, the knowledge management system and its infrastructure play a significant role in maintaining and updating the knowledge-based assets of the organization and valuable experiences of its role in the organization’s performance have been reported. However, investing and deploying a knowledge management system in an organization requires that the factors affecting its success in an organization be properly identified and appropriate programs are developed to foster it, especially given the different organizational culture of development. to be given. In the present article, the problem of identifying these factors was presented based on the experience of implementing a knowledge management system in the research community, namely Iranian companies. In this paper, the neural network was used as a reference for deciding on the importance of these factors due to its ability to discover the relationships between available data.
Anti-fuzzy SA-ideals with degree (λ, κ) of SA-algebra
Authors: Hameed Dr. Areej Tawfeeq , Jalil Raheem Narjis , Abed Dr. Ahmed Hamzah 
Published: May 2020

Abstract
In this paper, we will give some information about the anti-fuzzy SA-ideals with degree (λ, κ) of SA-algebra, there are many examples with be provide in order to make the SA-ideal clear. We will define the image and the inverse image of anti-fuzzy SA-ideals with degree (λ, κ) of SA-algebra, and show how the image and the inverse image of anti-fuzzy SA-ideals with degree (λ, κ) of SA-algebra are studied. At the end, the Cartesian product of anti-fuzzy SA -ideals with degree (λ, κ) of SA -algebra are given.
Face recognition based on fusion of SVD and Legendre moment
Authors: Noori Hashimi Asaad , Noaman Kadhim Buraq 
Published: May 2020

Abstract
Face recognition system may be defined as identifying the human face from scenes of video or a static digital image using a computer application. Human face recognition has been gained huge attention as a result of the significant role in various applications such as security, medical applications, forensic evidence, etc. Human face recognition has been faced by many challenges such as illuminations, rotation, noise, blure, etc. Each challenge may need special handling, hence, the face identification and face verification considered as a difficult field. Several algorithms were applied, each one has weaknesses and strengths, these algorithms focus on the pre-processing stage or features extraction or features selections or classification or it may be focuses on all these steps. This paper suggested a new way based on the fusion of features resulted from applying a common known moment, Legendre with a vector of features produced by a applying singular value decomposition transform (SVD), The system has been tested on FEI Brazil database and achieved recognition rate from 95% to 100%, also the suggested algorithm applied on ORL Databases and achieved recognition rate exceed to 98%. Finally, the proposed method performed a higher recognition rate under uncontrolled environment and noisy and blur images.
Optimum Design of high reflection Mirror with ZEMAX
Authors: Hashim Hadeel T. , Hashim Hussein T. , Rashid Hayfa G. 
Published: May 2020

Abstract
With the aid of ZEMAX-EE software, optimum design of multilayer dielectric mirrors were proposed. Homogeneous dielectric materials TiO2 and SiO2 (as couple) were used to construct the assembly of high reflecting mirror to be operate in the visible and near-IR spectral region (400-800nm) and over angular range (0-65°) of incident of light. Result demonstrate that the omnidirectional reflector was achieved over a wide wavelength band (470-700nm).
Effect of Climate Characteristics in the Scientific Levels of Students: An Applied Study on the City of Najaf
Authors: Ali Muthanna , Othman Mustafa , Guda Muthik , Abojassim Ali , Almayahi B. 
Published: May 2020

AbstractThe research includes study of a group of climatic elements in Najaf governorate and their effects on the scientific levels of students. This was done by adopting many statistical measures (Regression factor analysis, standard deviation regression, standard deviation) to show that effect and through the adoption of grades for students in materials (Mathematics, English, and general average), with a mixed sample and both (males and females). During the field study, we encountered many difficulties, most importantly, the lack of cooperation of the relevant authorities to obtain student data, which forced us to study directly in the field. The research results showed a difference in the calculated statistical values, but they often came in a significant and logical manner. The study included the following aspects; The characteristics of scientific levels of students in the city of Najaf, the characteristics of elements of the atmosphere on the city of Najaf and the elements influence of atmosphere of the city of Najaf on scientific levels of students.
Measurement of Rn222 gas in Juice from Iraqi markets
Authors: Salman Entesser , Jaber Ghaidaa , Neama Hayder , Abojassim Ali , Almayahi B. 
Published: May 2020

Abstract
The aim of this work is to set up a database for Rn222 concentrations in canned liquid juice samples available in Iraqi markets. The range value of Rn222 concentrations resulting from ingestion of liquid juices were from (2.45) mBq/L,(4.00) mBq/L with an average (3.1391±0.57) mBq/L. The average of the annual effective doses due to Rn222 concentrations in all samples under study were (1.7±0.30) nSv/y for children and (2.00±0.36) nSv/y for adults. Rn222 lower than the recommended limits. Therefore, the canned liquid juice samples available in Iraqi markets are health to consume without any risk due to Rn222 concentrations.
Study of optical, electrical and the performance coefficients for the (Rhodamine B-Eosin) laser dyes Detectors
Authors: Alramahy Alia , Al-Sultani Mithaq , Hameed D.N. , Almayahi B. A. 
Published: May 2020

Abstract
Background: The aim of research is the design of laser Detectors with organic pigments (Rhodamine B) and the dye of (Eocene) and the study of the absorption spectrum of the liquid dye used. Materials and Methods: Models were prepared with different concentrations (10-3-104) mol/L. In addition, Polymer Phenyl Pyrrolidone (PVP) was measured with different weights (0.1, 0.3). The research also discussed some of the opinions and discussions regarding the effect of concentration and polymer ratio that affect the absorbance spectra of these dyes. Results: The results showed that the strength and wavelength of the absorption spectra of the dyes used depend on the concentration, the polymer ratio and the increased concentration of the dye leading to interference between the absorption spectra. The velocity and the pre-irradiation were measured by laser and irradiation. Conclusions: Laser Irradiation led to an improvement electrical properties of the detector. The charges are increased to the delivery package. Detector increases with increased concentration of pigments. As concentration is increased causes increased of resistance to the surface, resulting in a decrease in current passing through the detector. The equivalent power of noise changes with light stream. This indicates that the greatest response it occurs when the equivalent noise capacity is as low as possible. The results showed that the detection increases the molecular concentration of pigments as well as increasing the noise capacity. Detectors prepared from photon detectors to increase the current by increasing the intensity of light. This is because the detection is a function of the spectral response, so it changes with the detector.
Range calculation of water and Kapton for alpha particles and Oxygen
Authors: Kadhim Rashid O. , Akon Alaa A. 
Published: May 2020

Abstract
Background: The aim of study is to calculated the range using mathematical equations due of the charged particles of heavy (alpha particles and oxygen) falling on the water and Kapton compound in energy range of (0.01-1000) MeV. Materials and Methods: The calculations were compared with the experimental data of the ASTAR code for alpha particles and SRIM2013 program for alpha particles and oxygen. Results: This comparison showed a good agreement with experimental data with a correlation coefficient (r = 0.99). Range values obtained from the application of equations are increased by increasing the energy of heavy charged particles. A stopping power in matter described using –dE/dx=a(E) + b(E)E. The results of these stopping power are contributions and continuous-slowing-down ranges given to elements, compounds, mixtures, and biological material of incident kinetic energy. Tables of the contributions to b(E) are given for the same materials. Conclusion: The correlation coefficient values calculated are 0.99 for water and Kapton compound.
Theoretical Investigation of Spherical Aberration Coefficient Solenoid Magnetic Lens
Authors: Hasan Hussain S. , Ali Abbas Abbas , Salbookh Erhayief Muhssen , Jawad Yaseen Mohammed 
Published: May 2020

Abstract
In this study, a modulating model for solenoid magnetic field was presented. This model describes the on axis field through its hard edginess parameter as well as its axial half of half width at half peak field. The modulating model indicates to increasing the spherical aberration at the fields from real soft boundary to hard boundary modulating model. The investigation simply shows stay the peak field value constant at all order n, and the field sketch diverges to the hard boundary shape within high values of n > 60 and, as well the half of half width of field is (a) for all orders n < 6.
Applications Modified Adomian Decomposition Method for Solving the Second-Order Ordinary Differential Equations
Authors: Alkarawi Ali H. , Al-Saiq Asst.Prof. Inaam R. 
Published: May 2020

Abstract
In this paper, we will display an efficient application of the Modified Adomian Decomposition method (MADM) for solving linear and non-linear Singular initial value problem in the Second order ordinary differential physical equations such as the Schrödinger’s Equation, Hermit differential Equation and capacitance regulation equation. It is shown that the MADM efficency, simple, easy to use and accuracy because the series solutions converge to the specific answer for every problem if it exist or numerical solution if not exist.