bluuebunny/crossref_metadata_2025_split huggingface dataset:
Universal fast expansion for solving nonlinear problems
Authors: Chernyshov D , Saiko D S , Kovaleva E N 
Published: May 2020

Abstract
Formulas are given for the fast expansion of a smooth function on a segment, which allows one to increase the rate of convergence of the Fourier series unlimitedly depending on the order of expansion. The theorems on the convergence of a series in fast expansion, the possibility of its multiple termwise differentiation, the uniqueness of fast expansion, are proved, and the error in the residual series in fast expansion is estimated. Algorithms for applying fast expansion are given, the concept of the fast expansion operator, which is necessary for solving nonlinear integro-differential problems, is introduced.
Multiple Mobile Robot Path Planning in 3D Environment Using Tangent Tree Algorithm
Authors: Fahem Albaghdadi Ahmed , Abdulkareem Ali Abduladhem 
Published: May 2020

Abstract
Due to the effective applications of multi-agent systems, there is an importance to develop efficient methods to manage these systems. One of the most important methods is path planning. This paper proposes a new algorithm for the path planning of multiple mobile robots in 3D environment named Tangent Tree Algorithm. It based on the assumption that the robots have spherical shapes and can move in a 3D space like drones, other moving robots considered as obstacles for the robot. The robot path performed using two modes: In the first mode, the robot moves in a straight line to the tangent point of assumption sphere. In the second mode, it moves around the assumption sphere. The assumption sphere locates at the calculated collision 3D point with the other robots. A number of possible paths constricted using these modes. A Tangent tree algorithm for multi-robot formed and the minimum path is determined based on minimizing this tree. Simulation results indicate that the new algorithm is superior to other algorithms in terms of both the path cost and computation required. Furthermore, this algorithm does not change the velocity of the robots; it only depends on the orientation.
Wireless Network Behaviour during Jamming Attacks: Simulation using OPNET
Authors: Obaid Hadeel S. 
Published: May 2020

Abstract
Jamming-style attacks can be launched easily on wireless networks because they are built upon a shared medium. These attacks can be performed by emitting radio frequency signals. These signals do not follow an underlying MAC protocol and can highly interfere with the normal operation of wireless networks. Jamming attacks represent the denial of service attack in wireless networks. In this paper, we have used OPNET Modeler to perform jamming attacks to investigate wireless network behavior. The results showed that the investigated jamming attacks can cause severe performance degradation into wireless networks and jamming attack is successfully avoided by using channel switching technique.
Performance Comparison of Centralized and Distributed Antenna System in 5G
Authors: Saad Hameed Saif , Mohammed Saleh Hadeel 
Published: May 2020

Abstract
The usage range of nowadays wireless communications become wide, all of the develop applications uses wireless communication which improve the mobility and improve the mobility of the network subscribers. As known that the antenna diversity scheme developed from “SISO” to “MIMO” that has a maximum capacity and ability to improve the communication quality with a good shields among the fading effects and other impairments. In this research work study and analysis to the antenna systems and antenna schemes was done taking into consideration the central antenna system and the distributed antenna system “CAS” and “DAS”. A Matlab simulation was developed to test antenna configuration system in term of effeteness of fading channel while using different modulation order.
Design and Implementation of Photovoltaic System Based on Super-Lift LUO Converter
Authors: Khudair Khalil Hamid , Hreshee Saad S. , Jassim Motlak Hassan 
Published: May 2020

Abstract
The battery’s DC voltage has a high voltage ripple, and therefore does not apply to most devices. DC converters are used in the voltage to relieve ripples regardless of the change in load voltage. In this paper, a design and implementation of positive output super lift POSL LUO converter using maximum power point tracking (MPPT) Algorithm in photovoltaic (PV) system. In LUO converter is highly efficient with low ripple in current and voltage. The super lift converter is a developer converter that comes from the buck boost converter, it is considered of the best converters. Used for low voltage irregular in photovoltaic to a higher voltage without ripples or voltage step down according to the design of the converter, it therefore applies to most devices, such as electric vehicles, dc-chargers, etc. The efficiency of the panels can be improved using maximum power point tracking algorithm, among the many accessible MPPT methods, perturb and observe method. The proposed P&O method based on the PI controller gives the best duty cycle, to eliminate the oscillations in the converter output value, and extracts the highest energy from the PV system. The values of the PI controller are adapted by trial and error method. The results were confirmed using MATLAB / Simulink in DC-DC converter design with MPPT.
BER Performance Improvement of Alamouti MIMO-STBC Decoder Using Mutual Information Method
Authors: Ali Noor S. , Abdalla Kasim K. , Kadhim Sameer A. 
Published: May 2020

Abstract
Bit error rate (BER) performance of multiple input multiple output (MIMO) space time block code (STBC) decoder depends on the channel estimator quality, where the quality of classical least square (LS) estimator depends mainly on the number of pilot symbols. The aims of this paper are to implement a new STBC decoder, measure the BER performance and make comparison with conventional one, without increasing the number of pilot symbols. Although the new strategy is more complex than a conventional decoder, it gives the opportunity to join estimation and decoding at the same time. Minimum mutual information (MMI)- independent component analysis (ICA) algorithm has been used for extracting source signals. MIMO-STBC systems were taken as a cases study with two transmitters. The simulation results show that MMI-ICA algorithm provides superior BER performance as compared with conventional maximum ratio combiner (MRC). The important point, which denoted during simulation, the performance of ICA algorithm with high frame length provides better BER performance than the conventional one.
A Freights Status Management System Based on Dart and Flutter Programming Language
Authors: Idan Arb Ghusoon , Al-Majdi Kadhum 
Published: May 2020

Abstract
In this research, we present freight status app as mobile application in android and iOS devices. We used Dart language and Flutter framework for developing the management system. Flutter is Google’s portable user interface structure for making top notch local interfaces on Android and iOS in specific time. Flutter operates with existing code, is utilized by engineers and associations around the globe, and it is release and not closed source.
Superior and efficiency in Flutter are accomplished by utilizing a few strategies. Dart is a coding language that we will use to build up our application in Flutter. The system has been designed by IntelliJ IDE. Clients are able to browse Freights Status mobile application, check relegation of merchandise committal cost standard, glance through enterprises news, and freight data and industry patterns by means of application. Through the framework behind the stage the board, charging staff can build up and alter dispatch notes; charging individual and accepting representatives can check transfer data. Flutter applications are achieved in the Dart coding language and aggregate to local code, so the exhibition is outrageously extraordinary. Dart is a customer enhanced language for quick applications on any stage made by Google.
Big Data Sharing Using Security Framework Research
Authors: Aamer Fadhil Saif , Emad Kadhim Lubna , Hanoon Salman Muayad 
Published: May 2020

Abstract
With the speedy development of big data technology and applications, the need to promote data sharing across departments and industries has become very instant. But Yes, security issues are key issues affecting the development of data sharing. Countries around the world are paying more and more attention to the security of data sharing, including the United States.Many countries, including the EU and China, are developing data security-related laws and regulations to support the legal use and security of data sharing protection. Summarize and analyze the security management and control of data sharing at home and abroad, design the data-sharing model and related party roles, and analyze the numbers.Based on the shared security risks and problems, the data sharing security framework is proposed, and finally, the data sharing security governance is strengthened suggestions.
Effect of Endometriosis to fallopian tube of the peristaltic-ciliary flow of third grade fluid in a finite narrow tube
Authors: Mawlood Pro..Dr.Ahmad , Sagban Abied Malath 
Published: May 2020

AbstractThe present prospective theoretical investigation deals with analysis of the peristaltic-ciliary transport of a developing embryo within the fallopian tubal fluid in the human fallopian tube under the effect6 of Endometriosis. This disease make the peristalsis ciliary flow become to peristalsis flow. A mathematical model induced flow of viscoelastic fluid characterized by the third grade fluid in a finite two dimensional narrow tube. That research is study the effect of couple stress to peristaltic –ciliary flow to Non-Newtonian fluids. Non-linear partial differential equations are solved by perturbation method. Flow variables like axial and radial velocities, appropriate residue time over tube length, pressure difference over have been derived under the assumption of long wavelength and low Reynolds number approximation and the expression for pressure rise is obtained by using wavelength and stream function are analysed for embedded parameter. This study is done through by the “MATHEMATICA”
Quasi-Coregular Modules
Authors: Shaibani Rafid M. AL – , Mothafar Nuhad S. AL – 
Published: May 2020

Abstract
In this paper, we introduce the concept of quasi – copure submodules which is ageneralization of a copure submodules. Weused this concept to define the class of quasi – coregular module, where an R-module M iscalled quasi –coregular module if every submodule of M is quasi-co-pure. Many results about thisconcept are proved.
The multi-point delivery problem: Shortest Path Algorithm for Real Roads Network using Dijkstra
Authors: Adnan Samaher , Abood enas Wahab , Abdulmuhsin Wafaa 
Published: May 2020

Abstract
The Multi-point Delivery problem is a Vehicle Routing problem (VRP) in which the vehicle has single point as start and end point and must visit a set of points as customers to replay their requests. This paper produces an algorithm built for finding a shortest path for multi-points delivery problem can be used by drivers and autonomous vehicle. The system uses a real road map for a part of Altijari center of Basrah as a delivery problem. The process is firstly built a proper graph to represent the roads then used Dijkstra Shortest Path algorithm to find the shortest path from start point to all points need to be served then taking the closest one and considered as new start point, continue researching to find short path to other points until all points visited, that for forward path, thus each point path is added to get the full path that pass in all points in delivery scope to get an optimize arrangement for visiting required points with least cost. The second step is to calculate the path for backward to start point. The experimental results show that the proposed algorithm performed efficiently in terms of cost for paths and time for calculation.
γ-ORTHOGONAL FOR K-DERIVATIONS AND K-REVERSE DERIVATIONS
Authors: Majeed Abdulrahman H. , Ali Hamil Shahed 
Published: May 2020

Abstract
In this paper, we introduce definitions of γ-orthogonality for two pairs of k-derivations, generalized k-derivations, and k-reverse derivations. And we present some results concerning with these notions on γ-semiprime gamma ring.
ORTHOGONAL GENERALIZED DERIVATIONS ON Γ-SEMIRINGS
Authors: Majeed Abdulrahman H. , Ali Hamil Shahed 
Published: May 2020

Abstract
Inithis paper, wepintroduce thepconcept ofporthogonal generalizedpderivations on Γ-semirings and provepsome resultslon semiprimeΓ-semirings.
Estimation and Prediction of the Presence of Hackers in the IoT based on the Kalman Filter
Authors: Safaa Majeed Ghadeer , Hanoon Salman Muayed 
Published: May 2020

Abstract
In general, the concept of the Internet of Things is to connect different devices to each other over the Internet. With the help of IoT, different applications and devices can interact and talk to each other, even with the humans, via the Internet. Examples include smart refrigerators that connect to the Internet and inform you of the expiration date of foods in the refrigerator. In fact, IoT enables you to remotely manage and control your used objects with the help of Internet infrastructure. However, an important criterion in such networks is security of the information in it. Because if the customers sense that their data will manipulate or hear with a hostile user they will not trust to such network. In this paper, we wants to present new method to intensify the security of the IoT network with use of Kalman Filtering. The Kalman filter has been used as an algorithm to estimate and predict the presence of the hackers and crackers in the network. It is demonstrated that if we equipped our network with such a smart algorithm not only the security of our network will increase but also more users will trust in our network and migrate to it.
Applications on Cyclic Soft Symmetric Groups
Authors: Mahmood Khalil Shuker , Hameed Khadhaer Fatima 
Published: May 2020

Abstract
In classical groups, there is a fact state that the symmetric groups are not cyclic in general. So, in this work the notion of cyclic soft symmetric groups using soft set theory is investigated and their orders are given. In this paper, we introduce new classes over non cyclic symmetric groups; these new classes are generated by element in the power set of classical symmetric groups. Furthermore, some applications on these new classes are given.
STRATEGIC SENSORS AND ASYMPTOTIC REGIONAL BOUNDARY GRADIENT OBSERVATION
Authors: Jaafar Zainab A. , Al-Janabi Asmaa N. 
Published: May 2020

Abstract
In this research paper an extension of asymptotical regional gradient observability concept to the case of boundary region of ∂Ω has been discussed and analyzed together with different types of strategic sensors. Our purpose is to show that, the number and location of sensor may be some interest in the existence of asymptotical regional gradient observation state in the boundary region for a parabolic system type.
Select an ERP solution for HR model based on requirement specification of an Oil company in IRAQ
Authors: Dawood Salman Ali 
Published: May 2020

Abstract
Nowadays, the majority of the companies and organizations all around the world are highly depend on the HR module of the ERP system as a tool for supporting the HR departments, making it flexible to access other departments’ specific employee data. The purpose of this paper is to conduct a comparison study of the HR modules’ of 3 major ERP systems SAP, Odoo, and Microsoft Dynamics AX, in order to provide a scientific approach for selection the best ERP solution by investigating all of the aspects of the HR module to the Missan Oil company in IRAQ.
A CERTAIN SUBCLASS OF MULTIVALENT HARMONIC FUNCTIONS DEFINED BY RUSCHEWEYH DERIVATIVES
Authors: Mahmood Zainab H. , Jassim Kassim A. , Shihab Buthyna N. 
Published: May 2020

Abstract
We introduce a new class of harmonici multivalent functions define by generalized Rucheweyh derivative operator. We also obtain several interesting propertiesi such as sharp coefficienit estimates, distortioni bound, extreme points, Hadamardi product and other several results. Derivative; extreme points.
CERTAIN FAMILY OF MULTIVALENT FUNCTIONS ASSOCIATED WITH SUBORDINATION
Authors: Mahmood Zainab H. , Hassan Assel A. , Mahdi Dunia K. 
Published: May 2020

Abstract
We have studied new subclass B (A, B,γ) over multivalent functions. We have present some effects because of the category B (A, B,γ). We bear mentioned simple properties, convolution properties, incomplete sums, weighted mean, arithmetic mean, linear combination, inclusion rapport and neighborhood properties, software concerning fractional calculus then vile residences because of both the classes…
New Approach for Solving Two Dimensional Spaces PDE
Authors: Ghazi FF , Tawfiq L N M 
Published: May 2020

AbstractIn this paper, new approach based on coupled Laplace transformation with decomposition method is proposed to solve type of partial differential equation. Then it’s used to find the accurate solution for heat equation with initial conditions. Four examples introduced to illustrate the accuracy, efficiency of suggested method. The practical results show the importance of suggested method for solve differential equations with high accuracy and easy implemented.
Analysis of an Agricluture Data Using Markov Basis for Independent Model
Authors: Jalil Mohammed Maysaa , Talib Mohammed Ali 
Published: May 2020

Abstract
Algebra statistical is one of the recent topics that has seen rapid development, it is considering as the consequence of the convergence of ideas between statistics and algebra. Moreover, Algebraic statistic has many applications in many different fields, one of these important field is agriculture. In this paper, we analyse a 3x2 contingency table which contains agriculture teaching experience and perception of secondary school agriculture. The method of algebraic statistic they will be used for a mainly Markov Basis of independent model and the computation of Entropy for variance alternative contingency tables based on Tsallis Entropy. In addition, the usefulness of this paper is to illustrate agriculture data. Finally, we will find Toric ideal to generate the elements of Markov Basis.
Recent Modification of Homotopy Perturbation Method for Solving System of Third Order PDEs
Authors: Naji Mohammed Tawfiq Luma , Altaie Huda 
Published: May 2020

Abstract
This paper presents new modification of HPM to solve system of 3rd order PDEs with initial condition, for finding suitable accurate solutions in a wider domain.
The modification based on new coupled that is LA-transform combined with the HPM for solving system of PDEs. The reliability of suggested method illustrated by solving some examples.
Nano – N* – Topological Space
Authors: Murad Nassir A. , Jasim Taha H. 
Published: May 2020

Abstract
The goal of this research is to display a new type of Nano ∼ topological space namely Nano-N*-topological space. Many classes of open sets are defined and studied the relationship among there. We investigate, some characterization of them. Finally some of their characterization are proved.
Arabic digit recognition using robust deep convolution neural network
Authors: Mahdi Haref Qasim , Srayyih Al-Maliki Mohsin N. , Mohammed Tuaama Maytham , Albehadili Hayder M. 
Published: May 2020

Abstract
Recently, digit recognition becomes one of interest problems for many researchers. However, Arabic digits have lack for such research. In this work, we used a robust deep convolution neural network (DCNN) to evaluate our collected Arabic digit dataset. We introduce substantial changes to CNN models to achieve superior results to prior work. Extensive experimental results are contacted to show the robustness of proposed models. Our detector achieves best current state-of-the-art results.
Universal Filtered Multicarrier (UFMC) vs. Orthogonal Frequency Division Multiplexing (OFDM)
Authors: Rashid Ahmed Saadaldeen , S.Abdullah Ahmed , Mohammed Hammash Nayif 
Published: May 2020

Abstract
Wireless systems can be utilized in various areas. These wireless systems require a flexible mechanism for the allocation of the available time and frequency resources. The framework time-recurrence designation is very troublesome in the regular OFDM frameworks. The multicarrier procedure has been a dumbfounding technique in the advancement of the ongoing remote correspondence framework, for example, Long Term Evolution (LTE), 4G and 5G. The symmetrical recurrence division multiplexing (OFDM) has been broadly examined indicating that it has various insufficiencies making it less helpful to utilize contrasted with the UFMC. This paper will assess the correlation between the OFDM and UFMC to prescribe the best system to be utilized for the headway of remote innovation. The OFDM and UFMC dependent on the FBMC are the latest and compelling arrangements utilized for the remote system. In this examination, the burden of the OFDM has outlined that the UFMC is a progressively viable arrangement. The relative examination of OFDM and UFMC depended on a power ghostly densities, computational multifaceted nature, sub channel and the model channel correlation recreated in MATLAB.
Characterization of Diskcyclic Criterion
Authors: Abdulkareem Rana , Zaki Jamil Zeana 
Published: May 2020

Abstract
It is known that there are diskcyclic operators that are not satisfy the diskcyclic criterion. This work introduced some kinds of diskcyclic operators, and studied its relation with diskcyclic criterion, as: power of operators, infinite direct summand of operators and introduced the concept of hereditarily diskcyclic operators, which are kind of diskcyclic operators.
Decomposition numbers of the decomposition matrices for the projective characters of the symmetric groups S
19,S
20 modulo p = 19
Authors: Abd Alreda Resen Jenan , Jabbar Mathkhoor Asmaa 
Published: May 2020

Abstract
In this paper we has determined the decomposition matrices of the symmetric group S
19,S
20 modulo p = 19, which is equivalent determined the irreducible modular spin(projective) characters.
Analysis of Tissue Abnormality in Mammography Images Using Gray Level Co-occurrence Matrix Method
Authors: Kamil Mohammed Y. , Jassam Abdul-Lateef A. 
Published: May 2020

Abstract
One of the dangerous diseases is breast cancer, which threatens women and men to the same extent. But women are more affected by this disease. Computer-Aided Diagnosis (CAD) is the optimal method for the early detection of breast cancer. It can reduce the false positives in radiologist diagnosis, which leads to reduce the death-rate. This paper presents a feature extraction technique with mammography images to breast mass recognition. Then, distinguishing normal tissue and abnormal breast masses. The mini-MIAS database of mammograms was used in this paper. Gray Level Co-occurrence Matrix is the method that was used to extract features from the region of interest. The best sensitivity, specificity, and accuracy are observed with a k nearest neighbor classifier.