bluuebunny/crossref_metadata_2025 huggingface dataset:
Nonlinear sixth order models with nonsmooth solutions and monoton nonlinearity
Authors: Borodina Elena A , Shabrov Sergey A , Shabrova Marina V
Published: May 2020

The sixth-order nonlinear spectral problem with nonsmooth solutions is studied. It is proved that the set of non-negative values for which the nonlinear spectral problem has at least one non-trivial non-negative solution is nonempty and coincides with a certain interval. We use the pointwise approach proposed by Yu. V. Pokorny analyzing solutions to a boundary value problem. This approach shown to be effective in the study of the second-order problems. Based on the previously obtained estimates of the Green’s function of the boundary-value problem, it was possible to show that the operator inverting the studied nonlinear problem, representable as a superposition of completely continuous and continuous operators, acts from the cone of nonnegative continuous functions to a narrower set. The last fact allows us to prove the uniqueness of a solution of a nonlinear boundary value problem using the theory of spaces with a cone.
Features of the software implementation of the numerical solution of stationary heat equation taking into account the effects of nonlocal finite element method
Authors: Kuvyrkin G N , Yu Savelyeva I , Sokolov A A
Published: May 2020

The features of the numerical solution of the two-dimensional equation of stationary heat conduction are considered taking into account nonlocal effects. The finite element method using isoparametric finite elements was chosen as the numerical solution scheme. A method for approximating the zone of nonlocal influence was proposed, and an estimate of the time for calculating the coefficients of the thermal conductivity matrix was also constructed. The influence of the main parameters of the model on the final results is studied, and a polynomial family of functions of non-local influence is also studied. The results are compared with the results obtained with the classical approach.
Shortest path algorithm for graphs in instances of semantic optimization
Authors: Yu Lavlinskaya O , Kurchenkova T V , Kuripta O V
Published: May 2020

This article discusses an example of using the algorithm for finding the shortest path to determine the strength of the connection between different words and phrases of the subject area in the tasks of Internet marketing, such as website promotion, thematic traffic, contextual advertising. The input data is words and phrases obtained from search queries and the frequency of their use in the network. Based on the initial data, a weighted graph is constructed, a adjacency matrix is drawn up. The shortest path is determined by the algorithm Floyd-Warshall. The algorithm finds links between words and the force of communication. This approach allows you to find unique semantic combinations and make the necessary search queries. Based on the analysis of the adjacency matrix and the definition of the coherence of words, marketers get a unique tool for solving problems in the field of digital marketing.
Fact-checking algorithms for the Internet
Authors: Martynov A S , Voronina I E
Published: May 2020

Verification of facts refers to the task of verifying textual content. Taking into account the growth of false information on the Internet, fact-checking becomes not only the activity of only journalists. The problem in computer-based fact-checking on the Internet is the lack of universal mathematical models for extracting useful textual information. Proposed the algorithms and mathematical models for extracting useful textual information in order to further verify facts. Presented results of experiments with the practical application of the developed mathematical model for extracting useful text from Internet resources.
Robust method for finding the center and the scatter matrix of the cluster
Authors: Shibzukhov Z M
Published: May 2020

The problem of finding the centers and scattering matrices for a finite set of points containing outliers in a multidimensional space is considered. A new approach is considered in which instead of the arithmetic mean, differentiable mean values are used that are insensitive to outliers. An iterative reweighting scheme for searching for centers and corresponding scattering matrices for the Mahalanobis distance is considered. The examples presented in the article show the robustness property of the proposed method and algorithm with respect to a large number of outliers.
Considering information uncertainty when assessing risk in Bayesian Belief Network
Authors: Gagarin Yu E , Nikitenko U V , Stepovich M A
Published: May 2020

The problem of estimating the average risk in Bayesian Belief Networks is considered, taking into account the uncertainty of the initial data. For estimation of parameters of functional dependences taking into account errors in values of functions and arguments it is offered to use methods of the confluent analysis. The necessity of obtaining interval estimates of functional dependencies and average risk to increase the reliability of decision-making is shown. The Bayesian Belief Network is modeled taking into account random errors.
On “simple” undecidable fragments of positive and elementary theories of free semigroups of finite or countable rank
Authors: Durnev V G , Zetkina O V , Zetkina A I
Published: May 2020

We establish algorithmic undecidability of “simple” (with respect to the quantifier-prefix and the quantifier-free part of the formulas) fragments of positive theories of finitely generated semigroups and elementary theory of a free countably generated semigroup.
Modeling boundaries of the occupation layer of an archaeological site on the basis of principal component analysis
Authors: Zlobina A G
Published: May 2020

An approach is proposed for the integrated processing of the data of multispectral aerial photography and a geophysical survey; this approach is based on the consistent application of the principal component analysis and the fuzzy c-means clustering algorithm. Its use provides the identification of thick humus layer areas, clarification of the boundaries of a thick occupation layer, as well as the localization of sites presumably containing buried archaeological objects. This approach was successfully applied in identifying an occupation layer and modeling its boundaries in the test area of the archaeological site – Kushmanskoye fortified settlement Uchkakar (Udmurt Republic, Yarsky district).
The adaptive algorithm of change of structural redundancy network information systems on the basis of the spectral theories of graphs
Authors: Mezhuev A , Pasechnikov I
Published: May 2020

Operation is devoted obtaining, on the basis of the spectral theory of graphs, the adaptive algorithm of conversion of basic structural models of network information systems for synthesis of topology with the minimum redundancy meeting requirements of structural stability by the given criteria. On the basis of switchings of Zajdel the method providing on each step of operation of cycles of algorithm a finding cospectral structures of high stability is developed. During researches concepts cospectral structures in narrow and wide sense are formulated. Modeling of operation of algorithm and an estimation of information efficiency cospectral network information systems on the basis of the generalized index – performance coefficient of information transfer taking into account influence of noises is led. Results of modeling confirmed a realizability and serviceability of the received algorithm, and also allowed to generate practical recommendations about its application in a structural circuit of complex multiple loop adaptation.
Application of computer simulation by the Monte Carlo method to the study of compositional heterogeneity of the product of copolymerization
Authors: Mikhailova T , Mustafina S , Mikhailov V , Podvalnyi S
Published: May 2020

The article presents the results of a study of the process of copolymerization in an industrial environment gathered by the software developed by the authors. The software is based on the modeling of the copolymerization process by the Monte Carlo method. The core algorithm is the simulation of the growth of each macromolecule of the resulting copolymer and tracking processes occurring with it. At the same time, we took into account that the industrial copolymerization process is carried out continuously in a cascade of reactors, which is reflected in the use of the residence time distribution of particles in the algorithm. The developed model makes it possible to calculate the molecular weight distribution, to construct the compositional distribution of macromolecules depending on the proportion of monomers, the distribution of macromolecules in size and composition for various variants of the ratio of monomers, as demonstrated by the results of computational experiments on modeling the process of copolymerization of butadiene with styrene in a cascade of reactors.
The automatic text analysis toolset for solving practical and research tasks
Authors: Politsyna Ekaterina , Politsyn Sergey
Published: May 2020

Tasks of automated text analysis are increasingly moving from theoretical research and experimental systems into practice. Increased volumes of text information for manual processing caused the need to use automated tools to solve a variety of tasks for a wide range of users operating not only desktop computers but more and more often mobile devices. There is the need of creating new automated systems and services for a wide variety of applications and the lack of universal algorithms for text analysis. In addition, in connection with different performance requirements of the large data volumes processing, it is urgent to develop integrated tools of automated text analysis, quickly solve user problems on any device, tools for deeper text study and create a basis for further research in the field of computational linguistics and testing of new algorithms of analysis. The proposed toolset includes an open system of automated text analysis, web-portal ”Automated text analysis,” a set of services and mobile applications. Its use will provide an ability to create and use software tools to solve practical problems, taking into account the interests of a wide range of users, and promotes research in the field of computer linguistics and deploying their results into various applications.
Hybrid computer modeling system of extrusion processes for quality control of multi-assortment polymeric films
Authors: Polosin A N , Chistyakova T B
Published: May 2020

A hybrid computer modeling system of extrusion processes has been developed, which includes mathematical models of various types. The system helps operators to solve the problems of quality control of multi-assortment polymeric films during change-over of production lines and in the mode of film production. The system includes a module for choice of extruder brands, a designer of virtual 3D extruder screw models, and modules for structural and parametric synthesis of mathematical models of extrusion processes and calculation of throughput, energy consumption of extruders, extrudate quality indices determining consumer characteristics of the film. The model library contains geometric models of screw elements of various types, static functional models of physical processes in channels of screw elements, empirical models of rheological properties of polymers, dynamic models for estimation of residence time, models for calculation of mixing degree, index of thermal destruction and color characteristics of extrudate. Static models have been developed on the basis of conservation and rheology laws. The method of synthesis of a cell-type hydrodynamic model with recycles has been developed. The system is adjusted according to the production method, the film type, throughput and energy consumption requirements. Modeling results are presented as tables, 2D and 3D graphs. Testing of the system according to the data of the productions of polyvinyl chloride and polyethylene films at plants in Russia, Germany has confirmed its operability.
Functional model of expert traffic flow control system within high-speed transportation corridors
Authors: Sysoev A S , Khabibullina E L
Published: May 2020

Recently, the number of vehicles on the roads has increased significantly, including within high-speed transportation corridors. Furthermore, the volume of cargo transportation increases annually not only within the country, but also between different countries. Taking into account these factors, as well as the possibility that unmanned vehicles will soon appear within high-speed transportation corridors, it is necessary to develop intelligent transportation systems that will effectively control traffic flows. Traffic flows are controlled by directional changes in its capacity. In order to interact with road users and road infrastructure, it is necessary to develop an expert system that will make recommendations using the predicted capacity value and information about the current value of the parameters describing the high-speed transport corridor. The article presents a neuro-fuzzy model for predicting capacity by known system parameters and conditions of its functioning, built using the concept of mathematical remodeling. There is also given the results of Sensitivity Analysis based on applying Analysis of Finite Fluctuations depending on external factors. In addition the conceptual and functional models of the developed expert system for regional intelligent transportation system module are proposed.
Modelling the interaction of multicomponent plasma with a CubeSat 1U microsatellite by the molecular dynamics method
Authors: Sharamet A , Zinin L , Vasileva A
Published: May 2020

The results of modeling the interaction of a multicomponent thermal cosmic plasma consisting of oxygen ions, hydrogen and electrons with a charged CubeSat 1U microsatellite are considered. For the simulation was used method of molecular dynamics. The characteristic features of the spatial distribution of hydrogen and oxygen ions are considered. Near a positively charged spacecraft, there is a region of negative charge, which eliminate a satellite charge. Behind the satellite is the region of the “ion shadow” in which the concentration of ions is close to zero. The spatial features of the “ion shadow” depend on the type of ion, the temperature of the plasma, the velocity and charge of the satellite relative to the plasma. The process of formation of an “ion shadow” for a number of parameters is considered.
Neural net decoders of nonbinary codes
Authors: Butov V V , Dumachev V N , Fedyaeva S E
Published: May 2020

In paper, neural net decoders of nonbinary error correction codes are considered. Analytic methods for calculating of synapse weight coefficients are proposed. It is shown that for codes (n, k) with a small number of corrected errors (n − k ≪ k), it is advisable to use a 6-layer universal classifier based on the feature space of parity symbols. For codes with k ≪ n − k, it is proposed to use a 3-layer classifier on feature space of information symbols.
Numerical modeling of the stress state of constructions from fibrous composites
Authors: Polatov A M , Ikramov A M , Pulatov S I , Gaynazarov S M
Published: May 2020

The paper is devoted to numerical modeling of the deformed state of physically nonlinear transversely isotropic bodies with an aperture. To solve the problem of the theory of plasticity, a simplified theory of small elastoplastic deformations for a transversely isotropic body is used. In work, to describe the anisotropy of the mechanical properties of transversely isotropic materials, a structural-phenomenological model is used. It allows you to represent the source material in the form of a complex of two jointly working isotropic materials. The main material is considered from the standpoint of continuum mechanics. The fiber material is oriented along the anisotropy direction of the starting material. It is assumed that the fibers perceive only the axial tensile-compression forces and are deformed together with the main material. The presentation of fibrous composites in the form of homogeneous anisotropic materials with effective mechanical parameters allows a fairly accurate calculation of structures with stress concentrators. Based on a simplified theory and finite element method, a computer model of nonlinear deformation of fibrous composites is constructed. The influence of the configuration of holes and a rectangular crack on the distribution of deformation and stress fields in the vicinity of these concentrators is investigated.
Algorithms of signal parameter estimation based on the theory of Compressive Sensing and their computer simulation
Authors: Parfenov V I , Golovanov D Y , Kunaeva N A
Published: May 2020

The problem of estimating unknown signal parameters in the presence of noise is a classical problem in statistical radio engineering. There are many algorithms for solving this problem. Many of these algorithms are based on the use of well-known statistical optimality criteria in order to improve the estimation efficiency. Therefore, they acquire a high computational complexity. In this article, in order to reduce computational complexity, it is proposed to modernize the classical correlation algorithm based on the new Compressive Sensing theory, which has been actively developed in recent decades. The article presents a new simplified algorithm of signal parameters estimation, outlines operational speed benefits, and compares the efficiency of the proposed algorithm to the efficiency of the classical algorithm as well as some other algorithms. The proposed algorithm has also been compared to the classical one according to computational complexity. Practical implementation of the proposed algorithm requires much smaller number of arithmetical operations with some deterioration in unknown parameter estimation accuracy.
Piecewise interpolation solution of the Cauchy problem for the transport equation with iterative refinement
Authors: Romm Ya E , Dzhanunts G A
Published: May 2020

This article deals with the method of approximate solution of the Cauchy problem for the transport equation based on the Newton interpolation polynomial of two variables with iterative refinement. In each element of the division of a rectangular domain into subdomains, a polynomial approximation of the partial time derivative is constructed. The interpolation polynomial is transformed into the form of an algebraic polynomial with numerical coefficients. In the integrated form, the polynomial is substituted for the dependent variable in the right side of the expression of the partial time derivative. Iterative renewal of the process at a fixed polynomial degree leads to the analogue of Picard’s method of successive approximations.
About torsion of inhomogeneous rods made of ideal rigid plastic material under linearized condition of plasticity
Authors: Mironov B G , Mironov Yu B
Published: May 2020

The torsion of inhomogeneous rods made of ideal rigid plastic material is investigated in this work. The integrals determining the stress and strain states of a rod under linearized plasticity condition are obtained. The field of characteristics of the basic relations is constructed, the rupture lines of stresses are found.
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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.
Identification system by Tongue based on Bhattacharyya distance
Authors: Ibrahim Assit.prof.Abdul-Wahab Sami , Jamal Hindi Rasha
Published: May 2020

Tongue recognition is a biometric technique that can be applied to different areas of expression of human identity. Recognition of the tongue is a difficult and complex problem that is important for surveillance, security, and intelligent interaction between computers and humans.

The main idea of proposed system rely that on that any image of a person’s tongue has multiple unique features. Those features vary from on tongue to another. The system proposed in this paper uses group, the Extract the characteristics based on the wavelet Transform where it uses information color (color space RGB) at a certain form of detailed wavelet transforms (discrete wavelet transform), and use of Bhattacharyya distance for comparison between persons.

The tongue datasets that are used for of the suggested system are gathered from 30 volunteers of various samples; 4 have been from every individual, images have been captured in various expressions, illuminations, orientations, skin colors, backgrounds, varied in the age) from male and female, results indicated the discrimination rate for waveleting 72%, persons were recognized using Bhattacharyya distance by 93%.
Video Summarization for Copyright Protection
Authors: Basma Mustafa M. H , Ali Suhad A. , Jabbar Jawad Majid
Published: May 2020

Nowadays, a summarization of videos for copyright application is an interested research area in computer vision. Key frames extraction is crucial phase in video summarization. This work proposed a method for key frames extraction. The method consists of two operations for covering the content of the whole video sequence. Firstly, a set of candidates key frames are extracted based on adaptive thresholding of difference of histogram of adjacent frames of video data. Secondly, the extraction of a final key frames is done depending on computing Euclidian distance between two adjacent frames in candidates key frames set. The proposed method was tested with a set of standard and online television videos. The experimental results show the efficiency of the proposed system.
Machine learning based for reducing energy conserving in WSN
Authors: Noori Shaker Bassam , Joundy Hazar Manar , Raheem Alzaidi Esraa
Published: May 2020

Two main factors pose challenges in designing wireless sensor network systems, namely energy and bandwidth. In this paper, we will focus on the topic of decreasing energy consuming in wireless networks by employing the Artificial intelligent in this domain. In wireless sensor networks (WSNs), the sensors are working by small batteries. Since the small batteries are restricted power resources, they should use carefully. The proposed algorithm extends the life of these batteries by making use of artificial intelligence science in general and cluster technology in particular, by finding the optimal number of clusters for the network so that the routing process consumes the least amount of energy and that is the bottleneck in the energy consumption in the network. The K-mean algorithm used as the basis for the network sensor clustering process and optimal fixed packet size used according to radio parameters and transceiver channel conditions. By following this manner, the energy consumption of each sensor node can be decreased individually then the overall network lifetime will be increased.
A modified technique to evaluate the reliability of Atomium Bridge
Authors: Abdul-Razaq Abeer A. , Khlaif Jiheel Alaa , Ouda Ahmed A.
Published: May 2020

This paper provides a new innovation in order to evaluate the reliability of Atomium Bridge, which represent a network with minimal/minimum cycle paths between entry/exit node, as well as computer programming has been used to a create an algorithm which calculates the reliability of this bridge.
First Integral Method for Constructing New Exact Solutions of The important Nonlinear Evolution Equations in Physics
Authors: Hasan Faeza L.
Published: May 2020

In this paper, some new exact solutions of the important nonlinear partial differential equations in physics as Gardener’s equation and Sharma-Tasso-Over equation are formally derived by utilizing the first integral method, where it is equipment us with many exact solutions by using the travelling wave transform, then deduce a system of ordinary differential equations which is solved by depending on theorem in commutative algebra and with helping the mathematical software like Maple and Wolfram Mathematica.