bluuebunny/crossref_metadata_2025 huggingface dataset:
Application of junction tree clustering methods for solving dynamic Bayesian networks probabilistic inference tasks
Authors: Azarnova T V , Polukhin P V
Published: May 2020

The article covers clustering algorithms for dynamic Bayesian networks based on the construction of join tree. Investigated problems associated with simplifying the topology of dynamic Bayesian networks using clustering methods and consider various semantic approaches of junction trees construction. The paper presents a junction tree constructing algorithm for the dynamic Bayesian network that takes into account the transition and perception models applied to the process of network formation. Analyzed The relationship between the complete joint probability distribution for the dynamic Bayesian network and the complete joint distribution obtained for the junction tree. It is shown that the required complete joint distribution of the junction tree for the dynamic Bayesian network can be obtained as a product of local probability distributions for each node associated with the resulting junction tree, and proved that this distribution will be equivalent to the probability distribution of the original dynamic Bayesian network. Introduced the main structural approaches to the construction of junction tree for the discrete dynamic Bayesian network and inspected the use of junction tree for solving similar problems for continuous dynamic Bayesian networks with Gaussian and exponential distribution functions of network variables.
Viscoplastic fluid flow modeling with the “solidification” effect in the straight channel of the annular cross section
Authors: Kolodezhnov V N
Published: May 2020

On the basis of the viscoplastic fluid rheological model, which takes into account the manifestation of the “solidification” effect, a flow has been simulated in the annular cross section channel. It is shown that, depending on the pressure drop level, three different flow patterns are possible. For each pattern, the expressions that determine the fluid velocity distribution in the channel’s cross section have been obtained. It is shown that the dependence of the volume fluid flow rate on the pressure drop is not monotonic. Moreover, the increase in the pressure drop critical level ultimately leads to the flow rate decrease due to the narrowing of the channel’s passage section, which is caused by the formation of the “solidified” liquid layers.
Building a model for calculating stress under dynamic loading of metal rings by the magnetic pulse method
Authors: Zaychenko O K , Morozov V A
Published: May 2020

Many recent studies have focused on specifics of behavior of materials under dynamic loading as it is considerably different from cases with quasi-static loading. This paper considers the method of magnetic pulse deformation of metal rings, which is a continuation of the authors’ research. [1]. The methods used in the experiment, which are described in this paper, allow to carry out laboratory studies into material deformation at a speed reaching the values of around 107c−1. This paper is dedicated to building a mathematical model for determining the stress in the test samples under dynamic loading of materials by the magnetic pulse method.
Torsion stability of a cylinder with circular and elliptical section under finite perturbations
Authors: Sumin A I , Boger A A , Sumin V A , Ryabov S V
Published: May 2020

In this paper, the stability of a cylinder with circular and elliptical section made of compressible and incompressible nonlinear elastic materials under finite perturbations is considered. A set of computational experiments was performed. The permissible boundaries of the region with respect to final and initial perturbations for given parameters of loading and structures are established. Finite sequences of bifurcation points are constructed, confirming, in contrast to stability at small perturbations, the existence of a hierarchy of stable equilibrium states. Classical linearized stability theories are evaluated. New phenomena and characteristic effects are established.
Numerical calculation of elements of thin-walled structures under alternating loading taking into account damage
Authors: Abdusattarov Abdusamat , Abdukadirov Farxod E , Sobirov Nizomboy X
Published: May 2020

The statement of the problem and the algorithms for calculating thin-walled rods of arbitrary section under spatially variable loading based on the theory of small elastoplastic deformations and the refined theory of rods are presented. Using the variational Lagrange principle, mathematical models are developed for the deformation and damage of thin-walled rods in a cylindrical coordinate system. A system of differential equilibrium equations for a rod with spatially variable loading in vector form is obtained. To solve the boundary-value problem, the central difference scheme of the second order of accuracy and the matrix sweep method are used. An example of calculation is given.
Noise reduction in hybrid CMOS-NEMS oscillators
Authors: Ali Hadi Farah , Musa Sura , Kareem Omran Qais , Abdulrazak Hussein Ehab
Published: May 2020

In this paper, a hybrid oscillator is proposed in which nano switch components are employed to reduce power dissipation and enhance the switching time. The work involves the design and simulation of a nano switch that has been combined with CMOS to achieve a new design of a ring oscillator. In addition, a noise reduction methodology which is based on improving the damping and spring factors has been adopted in the design to enhance the output and approaching the ideal signal.
New algorithm for separation overlapping & touching chromosomes
Authors: Adnan Al-Ameri Hajer , Al-Hameed Wafaa
Published: May 2020

The karyotyping technique is importance in the diagnosis of genetic diseases of humans, including the diagnosis the genetic disorders of prenatal and cancer. In order to obtain the karyotype system for the metaphase images of chromosomes using the image processing. Assembling of human chromosomes pairs from the metaphase image will pass in several stages which are segmentation (single chromosome, overlapped and touching chromosome), feature extraction, matching and classification. In this study has been focus on the separation of touching and overlapped. The problem of separation touching and overlapped chromosome was solved using the convulsion mask and with a help the morphological thinning and contour. The separation of touching and overlapped chromosome is according on finding cut points. The thinning of the image is obtained which helps to identification the Region of Interest. The contour of the image is obtained which helps to explain the entire shape of the image and find out the cut points for separation between chromosomes. In this study an efficient algorithms was used to separation the cluster of touching and overlapping chromosomes. The algorithm of separation touching and overlapping was implemented by using sequential stages (initially, segmentation from metaphase image, convert to the binary image, extract thinning, using mask with 9*9, extract contour, using mask 7*7, identified the cut points and finally, separate touching or overlapping chromosome). This algorithm capable to isolate a cluster of touching chromosomes and a cluster of touching and overlapping chromosomes.
The Maximal A-regular Submodule of Module
Authors: Kh Salman Mad , Almothafar Nuhad S.
Published: May 2020

Let R be commutative ring with identity and all module are (left) unitary R-module. An R-module M is saidi to be almost regular (for short A-regular) module if every submodule is almost pure (for short A-pure) submodule of M. In thisi paper we show that each unitary R-module has unique maximal A-regular submodule which is denoted by L(M), means a submodule of M which contains every A-regular submodule of M. Wei proved that if M is an R-module and N is a submodule of M, then L(N) = N ∩ L(M).
Labelling Data for Correlation Pollution Dataset by Using Machine Learning
Authors: Ahmed Huda W , Alamire Dr Jameelah H
Published: May 2020

The significant problem in the environment is the pollution of air which affects all the areas in our world. The solution of this problem is excluding by using Internet of Things (IoT) technology which designed system that monitors the parameters that affect the pollution in the environment. The handling and operation of large quantities of information from a wide range of sources is challenges in IoT technology. The purpose of this study is to decrease the dimensions in IoT systems so we suggest two models for IoT system and also aims to build rules for Air quality classification by defining pollution levels. In this study, we suggested machine learning techniques to predict an air pollution levels based on a dataset consisting of daily weather, also we simplified our classification models to solve this problem by using binary classification which is to classify the air pollution level into “High pollution” and “Simple pollution” class labels. The decision tree J48 Algorithm gives the best outcomes in the first model than the second models.
Authentication Database Leakage Detection
Authors: Ahmed Teach. Israa S.
Published: May 2020

Authentication is the first step for any important applications. Password verification is widely employed in the Internet. Some advanced mechanisms including bio features, such as fingerprints or retina. However, digital password authentication credential is commonly used in the public. In other words, traditional password verification is still an important authentication credential mechanism for today’s online services. Password database may be compromised. Once if the database is stolen, it is dangerous and critical for any services. Consequently, password database leakage becomes an important issue. Detection and countermeasure are essential for such a disaster. Our research proposing a scheme based on a authentication database storage mapping method to detect possible leakage of authentication database. By multiple mapping mechanism, if the authentication database is stolen, an attacker could not know any user’s correct password. This method can reduce additional space of storing passwords with ability to detect security event for stolen authentication databases.
Recent Techniques of Open Educational Resources
Authors: Abdulameer Maysaa H , Abdullah Mahmood Z
Published: May 2020

The field of learning has a reasonable claim of being a specified example on the way it could be improved or sustained by technology. Operating with technology for the sake of learning, users are expected to be taking longer period of time facing issues, struggling through these issues and in nearly all cases the interaction with technology is one of several effects on the achievement of success. This doesn’t mean the fact that Internet and computing have had no sustainable impacts on how users learn and on the options that exist for learners. formal learning field has been experiencing a period of fast changes, and barriers between formal learning and informal one show falling away signs, partly because of changes in accessing information or alternate delivery modes. The impact technology has on pedagogy (structure or way of teaching) is complicated. There are rather few specified researches on how technological potentials and pedagogical responses to those operate to take advantage of life-long learners. In this paper a survey for last designed systems and platforms of e-learning based on open educational resource (OER) via combining evidence from research strands that are based on working in on-line and distant learning under formal settings, and in addition on open and free on-line learning that is typically of less formality. The presented study discusses numerous factors that are related to results of the instruction: the usually unpredictable learner motivations, the paths that those learners take during courses, and signs of success in formal learning and informal learning, based on each of technology and pedagogy. The results of practical activities are given for the sake of widening the access to education with using technology that indicates the fact that open education offers from alternate manners of supporting learners. Those propose an emphasis on design decisions which may be helpful in integrating learning process more thoroughly with how on-line systems are presently supporting learning and data which may be utilized for interpreting how well these designs work.
On Subclass iOf Harmonic Univalent iFunctions Defined by Fractional Calculus Operator
Authors: Rasheed Reem O. , Jassim Kassim A.
Published: May 2020

In the presentipaper, authors establish some resultsiinvolving in coefficient bounds, extremeipoints, convex combination, Here we alsoidetermine that the class studiediin this paper is closediunder convolution finally, introduce and study partial sumsiof the Liberaiintegral operator and inclusion relationship involving neighborhoods for a new subclass ofiharmonic univalent functionsidefined by fractional calculusioperator in theiunit disk

U
=
{
z
∈
ℂ
:
|
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1
}

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

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

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

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

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

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

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

M
H

is

E
(

T
+
H

H

)

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

D
⊆
E
(

T
+
D

D

)
c
e

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

In this paper, we will display an efficient application of the Modified Adomian Decomposition method (MADM) for solving linear and non-linear Singular initial value problem in the Second order ordinary differential physical equations such as the Schrödinger’s Equation, Hermit differential Equation and capacitance regulation equation. It is shown that the MADM efficency, simple, easy to use and accuracy because the series solutions converge to the specific answer for every problem if it exist or numerical solution if not exist.
Performance Analysis of Full-Duplex NG-PON2-RoF System with Non-linear Impairments
Authors: Ahmed Abdulnabi Mohammed , Kadhim Saad Wasan , Hamza Bashar J.
Published: May 2020

The motivation of this study springs from the need of exploiting the advantages of high data rate and increased mobility of the transmitted signal in the Next Generation Passive Optical Network stage 2 (NG-PON2) incorporated into Radio over Fiber (RoF) system. Nonetheless, such system is prone to degradation due to the nonlinear effects, namely, the non-linear impairments. Accordingly, this study suggests a design for a full-duplex NG-PON2-RoF system and it investigates the impact of the nonlinear effects on the performance of system, such as; Self-Phased Modulation (SPM), Cross-Phase Modulation (XPM), and Four-Wave Mixing (FWM). However, these effects would result in a significant data loss in Time and Wavelength Division Multiplexing-Passive Optical Network (TWDM-PON). To achieve the intended purpose of this investigation, both the performance of the suggested system and the nonlinear effects of SPM, XPM, and FWM are measured with reference to the qualitative parameters, such as; Bit Error Rate (BER), Q-Factor, Power link Budget, and the Eye-diagram. The results show that the system performs efficiently; however, in the presence of the nonlinear effects, the performance of the systems degrades significantly affecting the signal quality. It is worth noting that the FWM effect yields the most negative impact followed by the XPM, and the SPM effect yields the least significant impact on the system. Also, the system yields the capacity of transmitting range of 20-100 Km, and it results in data rate of 40-80 Gbps. The proposed system is simulated using the software Optisystem 15.
Oscillistor-based force sensor
Authors: Cheredov Alexander I. , Shchelkanov Andrey V.
Published: May 2020

The development of an oscillistor based force sensor with a frequency output is introduced. Sensor can operate in a wide temperature range from room to cryogenic. Experimental studies were carried out at temperatures of 77 and 295 K. Force sensor sensitivity is 0.9 kHz/N in the force range (0–10)N at temperature 295K. A decrease temperature to 77K leads to increase sensitivity to 15 kHz/N. The design of the oscillistor based force sensor is presented.
Autonomous navigation data integrity monitoring of satellite radio navigation systems based on residual method
Authors: Ivanov A V , Boykov D V , Trapeznikova O V , Pudovkin A P , Trapeznikov E V
Published: May 2020

Statistical computer modeling is implemented to analyze an autonomous system for navigation data integrity monitoring of satellite radio navigation systems using the measurement residual summation method in a sliding window. The analysis is made for integrated optimal information processing algorithms obtained by the methods of the optimal estimation Markov theory. Algorithms are generated for the vertical channel of the navigation complex, which includes an inertial navigation system, signal reception equipment from satellite radio navigation systems, and a barometric altimeter. The possibility of detecting unreliable data in using different measurement residuals, as well as depending on the size of the sliding window, is investigated in the modeling process.
Diagnostics features of technical condition for inking unit drive of printing machines
Authors: Kulikov G B , Vinokur A I , Petrov V P , Varepo L G , Belyaev P S
Published: May 2020

The paper considers approaches to assessing the technical condition of the inking unit drive of printing machinery in the work environment. As the main diagnostic feature, it is proposed to use the noise spectrum, created when working with inking systems. Reasons for noise of inking systems are considered. To create a mathematical model of sound radiation by quill cylinders of inking system, it is shown that behaviour is described by oscillation equation of tubular girder. Theoretical research has shown, there is a possibility in principle to use the noise spectrum emitted by the inking system to diagnose the technical condition of its drive. To improve the accuracy of diagnosis, it is proposed to use neural network technology of image identification.
The techniques analysis of the heterogeneous modified polymer materials parameters detection
Authors: Nagornova I V , Doronin F A , Varepo L G , Rytikov G O , Evdokimov A G , Nazarov V G
Published: May 2020

The comparative analysis of the most popular techniques features (SEM, EDS, XPS, FTIR) applied for the quality monitoring of the polymer materials modification process is carried out as exemplified by the both 3D-microfluidics and flexible printed electronics substrates manufacturing. The typical errors at the both microstructure and composition instrumental analysis of the modified heterogeneous near-surface layer of the polymer material are listed. The reasonability of the cyclic chemical as well as morphological statistically significant technique of the date acquisition accompanied by the source generation signal gradient variation is shown. The developed general algorithm of the polymer modification process instrumental monitoring is presented.
Influence of parameters of the operating system on process speed backup of digital archives of printing industry
Authors: Proskuriakov N E , Yakovlev B S , Arkhangelskaia N N , Trapeznikov E V
Published: May 2020

Results of pilot studies of comparison of process of backup on the Windows and Linux operating systems are presented. Experimental and analytical means revealed the key parameters influencing backup process speed. As showed a research, the most significant parameters are the form of the interface of the software and type of the operating system. Also the limit at which the speed of copying of data remains rather balanced was set. The research showed that “direction” of copying of data is also very important. The software capable to make backup in the environment of operating systems Windows and Linux was developed.
Application of the graphical computer simulation methods to determine the optimal settings for gearing machines
Authors: Safarov D T , Kondrashov A G
Published: May 2020

The article describes an example of the practical application of graphic computer simulation methods to determine the setup parameters of gear-broaching machines. The adjustment parameters found using computer simulation methods provide a favorable distribution of lateral clearances to achieve the design positions of the total contact spots along the sides of the valleys of the gears. The determination of the adjustment parameters consists in imitating the process of gearing which results in 3D models of bevel wheels. The troughs of the interacting 3D wheel models are dissected along the inner, middle and outer cones. Graphic run-ins were performed for the side profiles of the wheel cavities along the length of the tooth. The graphs of changes in the lateral clearances of the tooth tooth profiles are constructed and the best position of the extrema in the middle part of the side surface of the tooth teeth is selected. Thanks to the application of graphical modeling methods, it becomes possible to exclude from the total adjustment error the errors of parts and moving machine parts that are individual for each gear-broaching machine.
Analysis of expression for determination of specific capacitive conductivity of power lines and refinement of calculations of earth fault currents in networks with isolated neutral
Authors: Bubnov A V , Barskov V V , Kirichenko A N , Schekochikhin A V , Malgin G V
Published: May 2020

Topic relevance is due to necessity of the correct mathematical expressions during the calculation of constants of equivalent circuit of power supply system, including the overhead transmission lines. Research purpose is the allowances thanks to which formula for capacity admittance calculation and of ground fault current in electrical grids with insulated neutral determination were deduced and made common use. As exemplified by numerical computation accepted allowances can lead to significant error (more than 15%), for example, during the determination of single phase-to-ground fault current in electrical grids with insulated neutral.
Using system analysis methods to search for coolant leaks in order to develop an automated information system for dispatch control of a heat generating enterprise
Authors: Chebanenko E V , Gritsay A S , Khamitov R N , Kuznetsova O P , Makarov V V , Florensov A N
Published: May 2020

The modern variety of methods for diagnosing the condition of a heat conduit requires a systematic approach and structuring. The methods classification based on the IDEF0 methodology for analyzing the technical conditions of the pipeline and the requirements for their implementation are proposed. Modern methods and technologies for searching coolant leaks are considered., the use of which is possible outside of hydraulic tests and changes in transportation technology. The proposed options for expanding existing software and hardware are considered and trends and prospects for their future development are identified.
Calculation And Simulation Of Slow-Moving Linear Magnetoelectric Drive Of Single-Stage Piston Compressor
Authors: Tatevosyan A A , Zaharova N V
Published: May 2020

The paper proposes an approach to the creation of an energy-efficient slow-moving linear magnetoelectric drive of a long-stroke single-stage piston compressor. The problem of optimal design of the magnetic system of the magnetoelectric motor of reciprocating action satisfying the criterion of the maximum of the developed electromagnetic force while ensuring the minimum mass of the active materials used is solved. A mathematical model for calculating the dynamics of a linear magnetoelectric drive is presented and the results of modeling dynamic starting characteristics are presented.
Features of the structure of the melt, crystallization conditions and the allocation of the main and excess phases during the modification of the nickel alloy
Authors: Filippov Yu O , Eremin E N , Mukhin V F
Published: May 2020

The aim of the work is to study the kinetics of crystallization of melts with complex additives. Studies have shown that microalloying alloys with complex additives leads to a change in the structure of the melt, crystallization conditions, and the release of the main and excess phases. These changes consist of a decrease in the crystallization interval of the alloy due to an increase in the solidus temperature, an increase in the rate of growth of the solid phase in the initial period of crystallization, a replacement of the mechanism of crystallization of carbides, and an increase in the temperature at which the precipitation of eutectic and hardening phases begins.
Investigation of the properties of hardened steels during cutting based on the thermomechanical approach
Authors: Krutko A A , Sedykh D A , Vorobiev A A , Badamshin A M
Published: May 2020

The analysis of widely used dependencies for determining the mechanical characteristics during steel cutting is given. Based on the description of the scheme of the deformation zone when turning hardened steels, the laws of hardening and softening of the processed material are determined. It was revealed that the temperature, which leads to the localization of a part of the deformation in a narrow region of the chip formation zone, significantly affects the change in the properties of hardened steel during cutting. To describe this dependence, a thermomechanical approach is used that takes into account dynamic factors and the mutual influence of temperature and yield strength. The calculated values of shear stresses and temperatures are compared with experimental data.