bluuebunny/crossref_metadata_2025_split huggingface dataset:
Using the method of boundary states with perturbations to solve physically nonlinear problems of the theory of elasticity
Authors: Penkov V B , Ivanychev D A , Levina L V , Novikov E A 
Published: May 2020

Abstract
The study looks upon the process of physically nonlinear deformation of isotropic and transversely isotropic homogeneous continuous solid bodies made from fibre composites where the reinforcing elements are far more rigid than the binder. The study offers an approach to writing out an explicit solution to a problem that effectively links a small parameter to the method of boundary states. Equations of the medium are presented as power series of small parameters. Each decomposition step calls for a solution of a linear elasticity problem, which is adequately addressed by the method of boundary states. Below are the results of solving test problems featuring an isotropic cube and a transversely isotropic cylinder with homogeneous boundary conditions. In both cases high accuracy is achieved as early on as the third iteration. Also presented is an axisymmetry problem for a transtropic cylinder with inhomogeneous boundary conditions. In this case accuracy depends on the values of small parameters. For all of the problems described we provide a detailed accuracy analysis and draw conclusions as to convergence.
Mathematical modelling of the process of internal technological stress fields development in cylindrical solids being layer-by-layer made of ageing viscoelastic materials
Authors: Parshin D A 
Published: May 2020

Abstract
With the help of current approaches in mechanics of additively manufactured deformable solids, a non-classical mathematical model is developed to predict the stress-strain state of layers being gradually formed on a rotating substrate in an arbitrary number of continuous stages of ageing viscoelastic material application. On the basis of numerous calculations performed, the qualitative and quantitative features of the internal technological stresses distributions in the finished cylindrical product for different variants of its release from the mechanical loading and the kinematic bonds acting during the manufacturing process are analyzed in detail. Previously unknown mechanical effects are found. The appropriate recommendations of a practical nature are given.
Using of fast expansions in the construction of two-dimensional exact solutions of the Poisson equation
Authors: Chernyshov A D , Goryainov V V , Popov M I , Yu Nikiforova O 
Published: May 2020

Abstract
Using the fast expansion method, we obtained several exact solutions of the boundary value problem for the Poisson equation in a rectangular domain. We have given graphs of exact solutions corresponding to different boundary conditions and different types of the Poisson equation free term. We showed the influence of the type of boundary conditions and the right-hand side on the type of exact solution. We obtained a solution to the problem of membrane deflections under the action of variable load. We have given graphs of the stress components, from the analysis of which it follows that the greatest stress is in the middle of the rectangular membrane long sides.
Iris Recognition Method for Non Ideal Images
Authors: Farhan Weam , AlShemmary Ebtesam N. 
Published: May 2020

Abstract
The issue of counterfeiting is one of the most pressing threats to people’s security because of the many complex security problems. Many systems used in the field of verification and identification but the basic criterion for choosing is the degree of safety identification. Identification and verification systems use biometric characteristics of individuals. The system of iris recognition is one of the most important biometric recognition systems. The system used iris images for 100 persons belonging to the UBIRIS V1 database. Each person has 5 captures; the total number is 500 images. A hybrid iris segmentation method combined two algorithms ChanVese (CV) and grabcut to obtain high verification rate and to detect the outer boundary and localize the iris region. The system includes several steps starting with acquiring the image of the iris, enhancing the image quality, segment iris region, determining the coordinates of iris center and radius of the pupil, convert the iris coordinates of the cutting segments from Cartesian coordinates to the polar coordinates to reduce the processing time and to avoid the noise image problems due to eyelids and eyelashes, then utilize Gabor wavelets to extract the features of iris, and finally perform the matching process using Euclidian distance. The performance indicators, which include the recognition rate, false rejection rate(FRR), False Acceptance Rate(FAR), Correct identification rate(CIR), are as follows(97.5%, 39%, 0.025%, 0.0975). The proposed system has many advantages includes high processing capability of low-quality images and low storage capacity.
Intra-clustering communication enhancement in WSN by using skillful methodologies
Authors: Kadhim A K 
Published: May 2020

Abstract
Member nodes in a wireless sensor networks are split into many virtual sets called cluster. Each cluster will be formed of a cluster head and cluster members. Clustering techniques are an energy efficient process that prolong the network lifetime. Intra-cluster communication is the energy efficient major factor in clustering protocols. The dissipated energy in intra-cluster will primary depends on the communication distance between member nodes and its cluster head. Therefore, reducing of energy that have been consumed in data transmission between ordinary nodes and its belonging cluster header, is consider as one of the important topics that have been taken into consideration by researchers. Clustering technique in WSN is one of the robust techniques that are utilizing to enhance consumed energy. Traditional clustering technique is not convenient with the animated nature of the WSN. A Fuzzy C-Mean Clustering (FCM) algorithm is proposed, this method has given momentum to improve network status and promote the state of sustainability of energy consumed by sensors nodes. Decision tree algorithm (DTA) which falls under the category of supervised machine learning algorithms is utilized to select Cluster Head (CH). The CH electing is done in such a way that reduces the intra-cluster communication distance; also, this method has limit the amount of consumed energy in the entire network.
An event driven data model that depends on FCM with DTA which is named as Voronoi Fuzzy Clustering with Decision Tree Algorithm (VFDTA) is adopted in this study. The evaluation metrics the performance of VFDTA protocol is better than well-known protocols (LEACH, SEP and Z-SEP) in terms of network stability, consumed energy and network lifetime.
Techniques for secure distributed systems
Authors: Ali Huda H , Shaker Prof. Assist. Dr. Shaimaa H 
Published: May 2020

Abstract
In recent networked world, more of the times computers work not isolation. They work with each other in order to satisfy communication purpose, processing, transfer of data, saving, etc., the systems can be described as distributed when it contain several systems work together in harmonic way with each other that are geographically lies over far distance. The security of distributed systems is very important issues and it may be describe as the most difficult part in the design for a system. In this paper the basic principles of distributed system is presented, then the security vulnerabilities are shown and the recent technique that used for solving the security problems are discussed and also analysis for their performance is done where the advantages and disadvantages with robustness for each technique are shown. So as conclusion for the results that are gotten by researchers, the selection of security technique depends on what really need to be protected, type of distributed systems and available resources. Although there are several efficient techniques, but the most powerful one is using of biometric and encryption for authentication and security purposes.
Analysis of Automatic Detection of Tumour Lesions Images using Bee Colony Technique
Authors: Aljanabi Mohanad , Jumaa Fadhel A. , Kaduim Abed Jameel , Al-Hamadani Haider 
Published: May 2020

Abstract
Nonstandard development of prison cell in any portion of the body is termed cancer lesions. Life duration of a tumour’s lesions can be enlarged by the primary detection of cancer. This work contracts with cataloguing of images depend on factors extracted from multiresolution analysis based on bee colony technique to enhance of investigative performance and decrease of unhealthy moles demises. From now this technique system goals to improve a portion of the current approaches and new measures to make available the accurate, fast and dependable automated analysis of skin lesions. This information is then fed to several well-known algorithms to obtain a skin cancer categorization. By this method, the segmentation step can be utilized to enhance the handling of the information and create preventive approaches against harm, thus decreasing the danger of skin cancer lesions. One of the most significant stages in dermoscopy image examination is the segmentation of melanoma. The experimental results suggest that the proposed method accomplished a higher performance compared to the ground truth images supported by skin cancer lesions’ dermatology. Investigational outcomes on the skin lesions databases designate that the bee colony prototypical acquires the utmost progressive performance. The factors of the scheme are estimated with accuracy, sensitivity and specificity.
Detect and diagnose Code Smell types by Using the Backpropagation Neural Network based on user feedback
Authors: Kazem Mohsen Raed , Saleem Abbas Ahmed 
Published: May 2020

Abstract
Millions of customers rely on smart phone applications for social networking, banking, health, news and many other uses and is also usable anytime, anywhere and in most environmental conditions. However, despite good planning by software engineers and organizations responsible for designing and building applications, the process of building or maintaining the application may be marred by some errors that lead to malfunction of the application or one of its functions, and this is often discovered after a long period, and this affects Opportunities of application success. Therefore, it is necessary to follow up on user feedback on the performance of applications, and to search for tools and methods that contribute to know what users want quickly to save “effort”, “time” and “cost”. This paper discusses some of the main functions of software engineering and the possibility of implementing them in machine learning to detect the presence of design errors “Code Smell “in Android applications with the diagnosis of error type.
RETRACTED: Arabic Command Based Human Computer Interaction
Authors: Hassan Hani S. , Jammila Harbi S , Abid Ali Kodher Maisa’a 
Published: May 2020

Abstract
This paper means to build up a strategy for helping debilitated individuals old and amputee, by using unimodal human computer interaction; real time voice command and interaction between patient and computer where these mixes give a promising answer for help the incapacitated individuals. The fundamental goal of the work is to design a project that deals easily with a patient that uses Arabic commands. The project is based on training a dataset that collected from different persons that have ages from 12-58 years old, unknown word and background noise. The propose system can works with different direction in Arabi language (“اذهب“, ” يمين“, ”يسار“, ”قف”) and with a multispeed that based on pulse width modulation (PWM). These functions based on code written in MATLAB environment. The project uses ATmega328microcontroller.
Semi-group Ideals on prime and semiprime Γ-Near - Rings with Γ- (λ,δ) – derivations
Authors: Ahmed H. A. , Majeed A. H. 
Published: May 2020

Abstract
Let h is Γ−(λ,δ) – derivation on prime Γ−near-ring G and K be a nonzero semi-group ideal of G and δ(K) = K, then the purpose of this paper is to prove the following :- (a) If λ is onto on G, λ(K) = K, λ(0) = 0 and h acts like Γ−hom. or acts like anti–Γ−hom. on K, then h(K) = {0}.(b) If h + h is an additive on K, then (G, +) is abelian.
The Dynamics and Analysis of Stage-Structured Predator-Prey Model Involving Disease and Refuge in Prey Population
Authors: Kafi Entsar M. , Majeed Azhar A. 
Published: May 2020

Abstract
Start your abstract here the objective of this paper is to study the dynamical behaviour of an eco-epidemiological system. A prey-predator model involving infectious disease with refuge for prey population only, the (SI_) infectious disease is transmitted directly, within the prey species from external sources of the environment as well as, through direct contact between susceptible and infected individuals. Linear type of incidence rate is used to describe the transmission of infectious disease. While Holling type II of functional responses are adopted to describe the predation process of the susceptible and infected predator respectively. This model is represented mathematically by the set of nonlinear differential equations. The existence, uniqueness and boundedness of the solution of this model are investigated. The local and global stability conditions of all possible equilibrium points are established. Finally, numerical simulation is used to study the global dynamics of the mode.
Review in Disadvantages of the Modern Communications
Authors: Bakheet Jasim Hasan 
Published: May 2020

Abstract
In modern societies, social networking and many more, are making human life easier. Communication and technology are created many changes in all fields of life. High speed in, translations, transport, shorten the time, exchange the information between the people, and others cases.We review and discussed the reasons and results for bad (disadvantage) for the communications in Iraq. Most of the companies for communications and networks in Iraq are using the old and worst methods to connectedness in communications. After the year 2003, all people are looking forward or willing to use and live the modern life, by using the information technology (IT), but they are not thought or (forget), what happened to them, when they are used worst connectedness the networks. The goal for this study to investigation all aspects of life, where more important for people life as, (health, economy side, the cost, security, maintenance, manufacture high-quality, services network, week internet (wobbling), banks, kid card cards or master card, stack the internet pack, laser planning for life, power outages and irregularity during the day, the environmental pollution ). All these are affected on the life.We found increase in, more diseases are founded, Cancer disease, Congenital malformations, Abnormal birth(giving birth before her time), Hair loss, increased respiratory infections, increased skin allergies, skin spots, the drawer dose is high because near the radiation source. In additional to the problem of the age is the environmental pollution is not controlled in all the developed and undeveloped countries of the world and it directly affects people lives.
The Product of Automorphic Weighted Composition Operators on Hardy Space H
2
Authors: Abood Eiman H. 
Published: May 2020

Abstract
Let

n
∈
ℕ
,

p
i

∈
U
,

α

P
i

(
z
)
=

p
i

−
z

1
−

p
¯

i

z

(
z
∈
U
)

, and let

f
1

∈

H
∞

,
i
=
1
,
…
,
n

. We discuss the relation between the points pi
in U and the functions fi
in U and the properties of the product of automorphic weighted composition operators

W

f
1

,

α

p
1

W

f
2

,

α

p
2

…

W

f
i

,

α

p
i

on Hardy space H2. In fact, it is very nice connection between analytic function theory and operator theory. In this paper, we give the sufficient and necessary conditions to be normal, unitary, hermitian operator on H
2 and we shall present the shape of the numerical range of it.
THE IMPACT OF INFORMATION TECHNOLOGY AND BIG DATA IN BUSINESS INTELLIGENCE
Authors: Raad Shker Rana , Noori Hussin Mansoor 
Published: May 2020

Abstract
The goal of this study was to suggest ideas for improving the information technology IT at business for the purpose of increasing business productivity. Organizations must be knowledgeable in order to properly utilize IT tools and be able to apply that knowledge to create unique competencies in order to gain sustained advantage from IT investments. Information technology in the modern organizations has been proposed as the mechanism to accomplish the productivity in the concerned industries. Existing empirical research demonstrates that IT may indeed act as a mediator for the effect of productivity on modern organizational outcomes. Yet, this study is not consistent in the conceptualizations of the relationships involved, nor in their definitions and measurement of IT investment spending. Thus, they chase numerous creative and innovative procedures and approaches while adding a substantial role of informational technology in the administration of such practice. This study aims to address these concerns in the businesses to compare the effectiveness with respect to measurement of IT as mediating variables in knowledge-intensive organizations. Implications for research and practice are discussed.
Bayesian Inference for Reliability Function of Gompertz Distribution
Authors: Rasheed Huda A , Albaldawi Tasnim H K , Al-Sultany Shurooq A K 
Published: May 2020

Abstract
In this paper, some Bayes estimators of the reliability function of Gompertz distribution have been derived based on generalized weighted loss function. In order to get a best understanding of the behaviour of Bayesian estimators, a non-informative prior as well as an informative prior represented by exponential distribution is considered. Monte-Carlo simulation have been employed to compare the performance of different estimates for the reliability function of Gompertz distribution based on Integrated mean squared errors. It was found that Bayes estimators with exponential prior information under the generalized weighted loss function were generally better than the estimators based on Jeffreys prior information.
⊕-J-supplemented modules
Authors: Ali Abdlkareem , Khalid Wasan 
Published: May 2020

Abstract
Let R be an associative ring with identity and let M be a unitary left R-module. In this paper, we introduce a ⊕-Jacobson-supplemented module (for short ⊕-J-supplemented), as a generalization of J-supplemented module. We state the main properties of a ⊕-J-supplemented modules and supplying by examples and remarks for these module and several properties of this modules are given. Also we introduce weakly ⊕-J-supplemented modules and give a characterization of weakly ⊕-J-supplemented modules a conditions under which the direct sum of weakly ⊕-J-supplemented modules is weakly ⊕-J-supplemented are given. We define a cofinitely ⊕-J-supplemented modules (for short, cof-⊕-J-supplemented) and some type of modules that are related to cof-⊕-J-supplemented module and prove properties of this type of modules. Also we discuss the relation between them with examples and remarks.
Error Estimate for Two-Dimensional Coupled Burgers’ Equations By Weak Galerkin Finite Element Method
Authors: Kashkool Hashim A. , Hussein Ahmed J. 
Published: May 2020

Abstract
A weak Galerkin finite element method (WG-FEM) can be considered a general finite element methods for solving partial differential equations (PDEs) by approximating the differential operators as distributions in weak forms. A weak Galerkin finite element method is used in this work for solving two Dimensional Burgers’ equations in lowest order Raviart-Thomas element RT
0 with polynomails of constant basis. Both the continuous and discrete time WG-FEM are analysed.The optimal order estimates in H
2-error and L
2 –error are obtained. Numerical results are applied to clarify the theoretical analysis.
Efficient Design of Neural Networks for Solving Third Order Partial Differential Equations
Authors: Tawfiq Luma N M , Ali Muna H 
Published: May 2020

Abstract
The aim of the research is design efficient neural networks to solve important type of partial differential equations represent many important models. The efficiency of design based on chooses a suitable activation function, suitable training algorithms with study how to increase the speed of this algorithm. Then we used suggested design to solve third order PDEs.
The Analogue of Regional Economic Models in Quantum Calculus
Authors: Hamed Qasim A. , Al-Salih Rasheed , Laith Watheq 
Published: May 2020

Abstract
In this paper, we derive a new formulation for an optimal investment allocation in N-regional economic model using quantum calculus analogue. This model is described as an optimal control model and formulated in both primal and dual models using quantum calculus formulation. This formulation is an extension of regional economic models. Also, the new formulation provides an exact optimal investment allocation. In addition, the classical regional economic model is obtained by choosing q=1. Furthermore, we formulate the primal and the dual regional economic models in quantum calculus. Moreover, we present a new version of the duality theorems for quantum calculus case. Finally, example is provided and solved using MATLAB. in order to show the given new results.
Convolution
Authors: Abd Al-Raid Sadiq Basheer 
Published: May 2020

Abstract
In this paper, we introduce definition of new transformation which we call it Convolutionof Expansion of the Transform of Al-Zughair. Also, Proposition of the Convolution are Given as Follows proofs, theorems, constant functions and characteristics introduce how the current transformation Differentiation of Expansion of the Transform of Al-Zughair and Transformof Integration has been used
Calculation of energy levels and reduced transition probabilities B(E2) for 130Ba Isotope using IBM-1
Authors: Eedan Abed Al-Slami Sami , Ali Hussien Yasmeen , Mashkoor Waleed Saad , Aboalhous Shatha F. , Mohammed Baqir Al-Dhalimy Aiman 
Published: May 2020

Abstract
Through the current research, a study of the nuclear composition and the form of even isotones movements – those of the even atomic weight between 178 – 188, after specifying the dynamic symmetry of each nucleus using the first prototype of the interactive bosons (IBM-1), the intrinsic values as well as the intrinsic vectors were calculated using the (IBM-code) program.It also calculated the probability of the quadrant-polar, electric movement that are B(E2) as well the quadrant-polar, electric torque (QL)using the (IBMT-code) program.The 130Ba isotope with 56 protons and 74 neutrons, has the number of bosons is 7 and the ratio

R

4
1
+

/

2
1
+

is 2.5235, the levels

2
1
+

,

4
1
+

,

6
1
+

,

8
1
+

,

2
2
+

,

0
2
+

and

2
3
+

, with energies 0.3574, 0.8914, 1.6021, 2.4894, 0.8971, 1.1795and1.5369 MeV are in good agreement comparing with the experimental energy. The level

4
3
+

, with energy 2 0709MeV compared with the energy experimental 2.0537 MeV. So, this level confirmed in the present work. The levels

10

1
+

,

12

1
+

,

3
1
+

,

4
2
+

,

5
1
+

,

6
2
+

and

8
2
+

, with energies 3.5534, 3.5534, 1.6143, 1.6111, 2.5065, 2.5016 and 3.5689 MeV, respectively correspond to cases for which the angular momentum and/or parity of the corresponding states are not well established experimentally. The calculations have been predicted new levels with energies 3.5754, 2 7816.and 3.6689MeV for the angular momentum and parity

7
1
+

,

6
3
+

and

8
3
+

, respectively.
From the experimental value of transition

B
(
E
2
;

2
1
+

→

0
1
+

)

, the value of parameter eB (α2) have been calculated for 130Ba isotope and The comparison for 130Ba isotope under study. There is no available experimental transition data to many transitions, Therefore, it has been predicted using IBM-1. In this study, there are a good agreement between the experimental B(E2) values and the IBM-1 calculated generally.