bluuebunny/crossref_metadata_2025 huggingface dataset:
Universal fast expansion for solving nonlinear problems
Authors: Chernyshov D , Saiko D S , Kovaleva E N
Published: May 2020

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

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

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

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

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

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

In this research, we present freight status app as mobile application in android and iOS devices. We used Dart language and Flutter framework for developing the management system. Flutter is Google’s portable user interface structure for making top notch local interfaces on Android and iOS in specific time. Flutter operates with existing code, is utilized by engineers and associations around the globe, and it is release and not closed source.

Superior and efficiency in Flutter are accomplished by utilizing a few strategies. Dart is a coding language that we will use to build up our application in Flutter. The system has been designed by IntelliJ IDE. Clients are able to browse Freights Status mobile application, check relegation of merchandise committal cost standard, glance through enterprises news, and freight data and industry patterns by means of application. Through the framework behind the stage the board, charging staff can build up and alter dispatch notes; charging individual and accepting representatives can check transfer data. Flutter applications are achieved in the Dart coding language and aggregate to local code, so the exhibition is outrageously extraordinary. Dart is a customer enhanced language for quick applications on any stage made by Google.
Big Data Sharing Using Security Framework Research
Authors: Aamer Fadhil Saif , Emad Kadhim Lubna , Hanoon Salman Muayad
Published: May 2020

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

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

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

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

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

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

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

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

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

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

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

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

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

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

This paper presents new modification of HPM to solve system of 3rd order PDEs with initial condition, for finding suitable accurate solutions in a wider domain.

The modification based on new coupled that is LA-transform combined with the HPM for solving system of PDEs. The reliability of suggested method illustrated by solving some examples.
Nano – N* – Topological Space
Authors: Murad Nassir A. , Jasim Taha H.
Published: May 2020

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

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

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

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

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

One of the dangerous diseases is breast cancer, which threatens women and men to the same extent. But women are more affected by this disease. Computer-Aided Diagnosis (CAD) is the optimal method for the early detection of breast cancer. It can reduce the false positives in radiologist diagnosis, which leads to reduce the death-rate. This paper presents a feature extraction technique with mammography images to breast mass recognition. Then, distinguishing normal tissue and abnormal breast masses. The mini-MIAS database of mammograms was used in this paper. Gray Level Co-occurrence Matrix is the method that was used to extract features from the region of interest. The best sensitivity, specificity, and accuracy are observed with a k nearest neighbor classifier.
Using Operations Research to Determine the Optimal Three Mashes for Three Stages of Broiler Feeding
Authors: Al-ebody Asst. Prof. Saad Abdulsada Ghuny
Published: May 2020

In this research, one of the methods of operations research, a linear programming method, was used to build a mathematical model to minimize the costs of feeding chickens for the production of white meat. The feeding system adopted for the first three periods from the age of one day to the age of 22 days. The second period starts from age 23 days to age 42 days and the third period starts from the age of 43 days until the stage of direct marketing by taking advantage of feed materials available in local markets or imported from outside Iraq to choose three economic diets, and each diet is suitable for feeding the chickens for the production of white meat. These three stages of nutrition should ensure the presence of all the essential elements to be provided in chicken diets such as proteins, energy represented, fats, fiber, vitamins, mineral salts, amino acids and other elements required to be available in the poultry food at the same rates determined by the dietitian and for each three phase of feeding. The use of these feeds extracted through the application of one of the methods of operations research will lead to minimizing the cost of poultry feeding as well as reducing the time required for the arrival of chickens to the stage of marketing and profit taking.
An approach for improving searching algorithm in big data using hybrid technique
Authors: Sadeq Khairi Alzuabidi Iman , Aljanabi Prof. Dr. Kadhim b. S.
Published: May 2020

Search algorithms play an essential role in wide variety of applications in computer science. Different search algorithms can be applied to different data structures. Each data structure has its own advantages and limitations which in turn affect the search algorithm complexity and performance. In the context of Big Data such limitations can be more obvious and noticeable in reducing the performance offered by the data structure and search algorithms applied to it because of big data characteristics such as its huge volume. Also, string data sets can be more challenging. They can cause more overhead in preprocessing. Some string datasets such as personal names may have some skew that has negative effect on hash indexes by increasing the ratio of collisions produced. The work in this paper offers a technique for improving the famous Hash table Data Structure by reducing the collision ratio in hashing in the average case, thus reducing the total number of comparisons made by search algorithm. The advantage of reducing the collision ratio was achieved by building a hybrid approach making use of three common data structures, namely Hash Table, B-Tree and Linked List. The results obtained showed noticeable improvement for time complexity of data searching algorithm over the traditional data structures that were used for comparisons.
Separation Axioms via Graph Theory
Authors: Jasim Taha H. , Awad Aiad I.
Published: May 2020

A new concept called topological graph and via this concept introduces a new class of separation axioms via the concepts of graph (G-T0, G-T1, G-T2, G-T3, and G-T4), many relations among them were studied and investigated some characterization of these concepts. At last give an application for them.
Quantum Logic Maps and Triangular Norms on D-posets
Authors: Al-Adilee Ahmed M. , Al-Mousawi Mustafa G.
Published: May 2020

In this paper, we propose a type of generalization of triangular norms and quantum logic functions on d-poset algebra. We compare the modified constructions, and properties to the classical properties of the generalized concepts. We show several structures with proof of each type of the proposed generalization. We show several relationships that connect the triangular norms to the quantum logic maps, and also show their relationships to the classical probability space. We provide some explanatory examples that show each structure on d-poset with extra properties that depends on a definition of state.
Deceleration Cylindrical Electrostatic Lens Using the Charge Density Method
Authors: Hamad B H , Waheeb H A
Published: May 2020

With the aid of the integrated charge density method, Laplace’s equation is solved to calculate the axial potential distribution of the electrostatic immersion lens consisting of equi-diameter cylindrical electrodes separated by a specified distance. The potential and electric fields can be calculated directly outside the poles by the charge density on the poles. The solution is obtained by solving the integral equation using the bisection method. The optical properties of the decelerating lens determined under finite, zero and infinite magnification mode with no space-charging effects.
Simulation and Optimization of the Optical Properties of an Einzel lens
Authors: Abdulla R T , Hussein O A
Published: May 2020

The simulation and optimization calculations were carried out for an einzel lens consists of three overlap cylindrical electrodes with the same length but with different electrode diameters under point-to-point focusing condition. The effects of the overlap distance (d) between the central and the outer cylindrical electrodes on the optical properties of an einzel lens were investigated. The results showed that the increasing of the overlap distance (d) will improve the aberration figures of the images, where by increasing the overlap distance (d) from 2 mm to 6 mm the dimensions of the image were reduced by about 50% for both y and z-directions. The results appeared that both the dimensions of the lens, and the aberrations can be reduced at the same time without affecting the homogeneous distribution of an electron-beam kinetic energy of at the image plane.
Electrical Behavior of Hybrid Blend Reinforced by Fibers with Different Mixing Ratios
Authors: Rajab Dr. Mustafa Ahmed , Salman Fadel Dawood , Nasser Dr. Nihad Mahmoud
Published: May 2020

That technological development depends on progress in materials, so one has to realize that the best design for vehicles or aircraft is for materials to be able to carry the loads and conditions of the service, whatever the field, the final restriction on progress depends on materials. Composite material is composed by combining two or more substances that often have very different properties. The two materials work together to give unique composite properties. Properties are not only used for their mechanical properties, but also for electrical, thermal and environmental applications. Typically, modern composites are improved to achieve a certain balance of properties for a particular set of applications and a wide range of uses for which complex materials may be designed. Composite materials have a continuous matrix component that is linked together and provides a form of a combination of stronger reinforcement components. The resulting composite materials have a balance in the structural properties that exceed any of the constituent materials alone.
PSPICE modelling of a photovoltaic system with a single phase voltage cancellation inverter
Authors: Kubba Z M
Published: May 2020

In this research, a pv panel built from previous work will be used as a DC source for voltage cancellation inverter with help of PSPICE program. PV panel model defined as a hierarchical block in PSPICE library so, it called directly from PSPICE library as a special source and used it for most PV systems applications. A designed voltage cancellation inverter will be connected with this hierarchical block to simulate it in PSPICE. All results obtained from this simulation will be compared with experimental results. The voltage cancellation inverter will convert the dc input voltage to an approximate 130V 50Hz modified square signal.
Measurement of Radon Radiation Concentration in Imported and Local Powdered Milk using Nuclear Track Detector CR - 39
Authors: Ali Esam S. , Mohammed Sameen F. , Mohammed Chinar N. , Mahmoud Zainab S.
Published: May 2020

This study aims at measuring radon radiation in 35 different samples of local and imported powdered milk using nuclear track detector CR-39 to record the existence and impact of Alpha particles emitted from radon in the examined samples. Plastic pipes and tubes of the U type were used with the samples in radiating the detector. The study revealed that the highest concentration of radon was (1371.3) Bq.m−1 in the sample M4 (Dielac2-Dubai) and the lowest concentration is in sample M32 (Lamsa- Jordan) with a radon level (151.8) Bq.m−1. The levels of radon that were measured fall within the normal and natural concentration of the radiation that emit from the radionuclide in food and thus do not make any risk to the human life.
The Relationship between Soil Temperature and Volumetric Soil Water Content in Iraq using ECMWF Data for the Period (1980-2016)
Authors: Al-Taai Osama T. , Nassif Wedyan G.
Published: May 2020

The Volumetric Soil Water Content (VSWC) and Soil Temperature (ST), are important factors in determining the phenomenon of desertification and agricultural drought, where soil temperature plays an important role in determining the date of flower growth. Surface evaporation and water leakage are also associated with climate-related evolution in terms of precipitation production and in the development of weather patterns. The methods adopted in the study depend on the monthly and annual mean of the four levels (L1, L2, L3, and L4) of the volumetric soil water content and soil temperature, taken from the European Centre Medium Weather Forecasts (ECMWF) for the time period thirty seven years (1980-2016), for selected stations in Iraq (Mosul, Baghdad, Rutba, and Basrah). The greatest value of the volumetric soil water content was recorded in Mosul, and the lowest value was recorded in Basrah. The greatest value of soil temperature recorded in Basrah, and the lowest value in Mosul. The relationship between volumetric soil water content and soil temperature is a very high negative correlation for thirty seven years for the selected stations (Mosul, Baghdad, Rutba, and Basrah).
Synthesis of Silver Nanoparticles by ecofriendly nvironmental method using Piper nigrum, Ziziphus spina-christi, and Eucalyptusglobulus extract
Authors: Hassan Omar M. , Ibraheem Ibraheem J. , Adil Ban H. , Obaid A.S. , Abdulqader Salih Thaher
Published: May 2020

In the present study, silver nanoparticles (AgNPs) were prepared using an eco-friendly method synthesized in a single step biosynthetic using leaves aqueous extract of Piper nigrum, Ziziphus spina-christi, and Eucalyptus globulus act as a reducing and capping agents, as a function of volume ratio of aqueous extract(100ppm) to AgNO3 (0.001M), (1: 10, 2: 10, 3: 10). The nanoparticles were characterized using UV-Visible spectra, X-ray diffraction (XRD). The prepared AgNPs showed surface Plasmon resonance centered at 443, 440, and 441 nm for sample prepared using extract Piper nigrum, Ziziphus spina-christi, and Eucalyptus respectively. The XRD pattern showed that the strong intense peaks indicate crystalline nature and face centered cubic structure of silver nanoparticles for all samples were prepared. The average crystallite size of the AgNPs was 20-45 nm. Morphology of the AgNPs were carried out using FESEM. Observations show that the AgNPs synthesized were spherical(Cluster) in shape. with diameters of 13 to 53 nm.
INTERVAL-VALUED IFAT-IDEALS OF AT-ALGEBRA
Authors: Tawfeeq Hameed Areej , Kareem Kadhim Esraa
Published: May 2020

Background: The interval-valued IFset to AT-ideals on AT-algebras investigated. We apply the concept interval-valued intuitionistic AT-ideal, and investigate some of their properties. Materials and Methods: Moreover, Cartesian product of IFAT-ideal, and related properties. It was extended to IFideal by many literatures studies. Several researchers are studied the IFKU-ideals in KU- and intuitionistic image. Results: AT-ideals and AT-ideals fuzzy in AT-algebras defined in this study. IFAT-sub algebra showed. In interval-valued IFAT-ideal on AT-algebras. IFAT-sub algebra or (fuzzy AT-ideal) on AT-algebras. Conclusion: It introduced a Cartesian give to two interval-valued IFAT-ideal on AT-algebras and investigate some important the structure
Theoretical Investigation of Base Pairs-Dependent Electron Transport in DNA System
Authors: Al-mebir Alaa Ayad K. , Al-Saidi Shakir A. A.
Published: May 2020

DNA molecules contain high density genetic information that make them beside their self-assembly and self-recognition properties very remarkable topics for many scientific majors, such as medicine, biology and nanotechnology. The mechanism of electron mobility through DNA is important to study DNA-based molecular electronics in nano-bioelectronics. In this study, the influence of number of base pairs on transmission probability, conductance and current for a DNA system has been investigated by using a tight-binding model. Two DNA sequences, (G/C) and (A/T), was studied using the steady state formalism. One active region of DNA molecules assumed to be represented by a fishbone model. The behavior of transmission spectrum (T) was discussed for both DNA sequences as a function of the number of base pairs (N). In addition, a nonlinear behavior of the current (I) was found by studying I-N curves. Further, the resistance-dependent of number of base pairs is also discussed to describe the resistance behavior and values for both DNA sequences. It demonstrates that the resistance-dependent of number of base pairs represented by nonlinear dependent with small different in its values, and the two DNA sequences gives different R-N curve characteristics.
An Iris Recognition System Using Deep convolutional Neural Network
Authors: Omran Maryim , AlShemmary Ebtesam N.
Published: May 2020

Machine learning rises in varied areas of computer science. A deep conventional neural network is powerful visual models of machine learning. We tend to present robustness and effective structure for the iris recognition system. The image first pass through these stages: enhancing the image quality, determine the iris and pupil center and radius for iris segmentation, converting the image from the Cartesian coordinates to the polar coordinates to reduce the time of processing. The proposed system is named IRISNet that extracting the feature and classifying them automatically without any domain knowledge. The architecture of IRISNet consists of Convolutional Neural Network layers for extract feature and Softmax layer to classify these features into N classes, for training CNN the backpropagation algorithm and Adam optimization method are used for updating the weights and learning rate, respectively. The performance of the proposed system was evaluated using IITD V1 iris database. The results obtained from the proposed system outperform supervised classification model (SVM, KNN, DT, and NB). The identification rate 97.32% and 96.43% for original and normalized images respectively. The recognition time per person is less than one second.
Technical vision system for quality control of objects of the ball-shaped form when sorting on the conveyor
Authors: Balabanov P V , Divin A G , Belyaev P S , Trapeznikov E V , Egorov A S , Zaharov Y A , Yudaev V A , Don-Uni Nseno-Pemby
Published: May 2020

A functional diagram of a robotic complex mock-up for rejecting ball-shaped objects transported on a roller conveyor is presented. The software of the complex is designed to detect an object on the conveyor and determine its coordinates. To detect objects of control, their images obtained in the visible range of the optical spectrum and Viola–Jones object detection algorithms are employed. The developed software is based on a trained cascade classifier, the optimal settings of which are determined. To detect surface defects of objects, their spectrograms obtained in the range of 400… 1000 nm are used. The presented results can be applied to the process automation of sorting fruits and vegetables and other ball-shaped objects.
Load balancing in data distribution systems
Authors: Denisov O V , Vikulov E O
Published: May 2020

The issue of distribution of large amounts of information on server stations is researched. The analysis of existing methods for distributing data of heavily loaded web applications is carried out. A system for computing load distribution using a balancing server is proposed. A description of the software necessary for the functioning of the system and server management interface is provided.
Development of automatic control system: simulation, optimization and analysis of stability
Authors: Denisova L A , Meshcheryakov V A , Karabtsov R D
Published: May 2020

The issues of creating an automatic control system (ACS) as part of the software and hardware complex (SHC) designed to control the technological equipment of the turbine compartment of a nuclear power plant are considered. Multicriteria optimization was carried out using ACS simulation and an optimization method based on a genetic algorithm implemented by the MATLAB / Simulink / Global Optimization Toolbox. The approximation of SHC relay-pulse controllers, which are used in control loops, by linear regulators, is carried out. Based on this, an analysis of the system stability was performed. Resistance margins are determined taking into account the influence of signal discretization in control loops. The studies showed that the optimized ACS has sufficient stability margins and provides the accuracy of maintaining the object parameters in the normal operation of the power unit.
Make invisible visible: to the guaranteed signal averaging for the distributed fiber sensor
Authors: Ershov I A , Stukach O V , Tsydenzhapov I B , Sychev I V
Published: May 2020

Fiber-optic sensors are becoming wide spreading in many fields due to a lot of advantages such as high spatial resolution, small size, immunity to the electromagnetic disturbances and possibility of multiplexing. Many benefits are fundamentally unattainable for electrical sensors by the physical operation principles. The processing of signals received from the optical fiber temperature sensor is considered. Raman sensor provides high spatial resolution. The main problem of signal processing for the temperature calculating is a large noise arising from the low level of current received from opto-converter. A method for estimating the additive noise level is presented based on calculation of the standard deviation. Comments concern the multiplicative noise during the rise and fall of the signal are given. Possibilities of guaranteed identification of DTS signals based on experimental measurement of statistical characteristics and representation it as so-called potential characteristic is evaluated. The signal-to-noise ratio may be increased by averaging the potential characteristics.
Development of a universal algorithm for designing linear conveyor nonmixers for producing mixes of piece tubular components
Authors: Evseev A V
Published: May 2020

Paper presents algorithm calculation of automatic mixing (nonmixing) conveyor to obtain mixtures of single, piece tubular elements having similar typical overall dimensions, but differing in internal properties at effective end use. The relevance and novelty of development are shown on the example of receiving the general party of composite tubular product, at the determined forming of its uniformity, with the set qualitative and quantitative characteristics from the heterogeneous tubular components differing in functional parameters
Experimental research of the dosing device and the process of nonmixing of tubular long dimensions at the automatic conveyor unit
Authors: Evseev A V , Lapina V A , Kasatkin G V
Published: May 2020

Paper presents pilot studies of the automatic conveyor mixer (nonmixer) and batchers for receiving mix of the single, piece tubular elements having similar standard overall dimensions, but differing in internal properties at effective end use. The relevance and novelty of development are shown on the example of receiving the general party of composite tubular product from small similar parties, at the determined forming of its uniformity, with the set qualitative and quantitative characteristics from heterogeneous tubular components.
Method for Creation of Cell Models as a Universal Tool forthe Development of Mathematical Models of Dynamics Used to Perform Smart Control of Oil Production Facilities
Authors: Faruntsev S D
Published: May 2020

The author suggests using a method based on cell models to develop dynamic mathematical models intended for the smart control of oil production facilities. The method is applicable both to the facilities with lumped parameters and for those with distributed parameters (being more suitable for the latter as they are more complex in terms of computations). The paper provides the examples of mathematical description of the processes performed using the cellular model for some vessels most widely used in oil production, and the examples of simulation of controlled facilities by MATLAB Simulink, as well as the simulation results in the form of statistic and dynamic characteristics of the facilities by various channels, which are consistent with the experimental data. The general simulation methodology is formulated. The models obtained can be implemented in industrial automation for oil production industry.
Problems of development motion control algorithms for a small spacecraft for technological purpose taking into account temperature deformations of solar panels
Authors: Gorozhankina A S , Orlov D I , Belousova D A
Published: May 2020

The paper considers the development of an algorithm for controlling the orbital motion of a small spacecraft using a control system that has flywheel engines and an electrothermal micromotor for unloading flywheels as executive bodies. It is assumed that a small spacecraft periodically falls into the shadow of the Earth. The temperature deformations of solar panels that affect the dynamics of evolution around the center of mass are taken into account. The restrictions on the internal environment micro-accelerations of a small spacecraft are taken into account when choosing the main parameters of the executive bodies. These restrictions are imposed when gravitationally sensitive technological processes are carried on board it. The aim is to reduce the level of micro-accelerations in the zone of technological equipment as possible while developing control algorithms.
Development of measurement quantity determination procedure for estimation of uncertainty of influence of conditions during calibration of thermal engineering measurement instruments
Authors: Malay L D , Ivanov R N , Dyachenko A YU , Popov A A , Stepanova E P
Published: May 2020

Calculation of uncertainty and identification of influencing factors is one of the current problems of measuring instruments (MI) operation, because testing programs of MI including only typical influence and don’t take into account specific measuring instruments. Calibration of measuring instruments during their operation and calculation of uncertainty of measurement results will allow to establish in the long term the actual values of measurement results traced to the national primary standard. One of the tasks in assessing the uncertainty of measurements is to assess the impact of calibration conditions, which is evaluated based on parallel measurements at each calibration point. The aim of the study is to develop a method for determining the number of parallel measurements when calibrating thermal measuring instruments on the basis of statistical information based on the results of verification of measuring instruments. In that research, was determined and experimentally tested method for determining the number of parallel measurements during calibration of thermal measuring instruments. The method was tested on the calculator of a quantity of heat VKT-7. Was identify strengths and weaknesses parts of the technique, as well as its field of application, have been revealed.
Diagnostics of paper – dampening solution printing system parameters for open source software applications
Authors: Orlova E Yu , Varepo L G , Hodes A
Published: May 2020

The paper parameters were selected for a computer model using open source software to predict their interaction with the dampening solution in an offset printing machine and in an ultrasonic measuring device. The indices characterizing the penetration of alcohol-free and alcohol dampening solutions with 5% and 10% content of isopropyl alcohol into the structure of offset coated papers on PDA c02 ultrasonic measuring device were obtained and analyzed. The surface profiles of coated offset papers are obtained on a Micro Measure 3D Station three-dimensional non-contact profilometer for constructing the surface geometry of papers in a graphical interface. A
tstartswelling

value was found characterizing the time of the beginning of fiber swelling in the paper structure, which will allow setting the time for calculating the numerical model. The obtained t95 and USI 70 indices are recommended for an indirect assessment of the identity of a computer model to the actual conditions for the onset of interaction and penetration of dampening solutions into the paper pores.