bluuebunny/crossref_metadata_2025_split huggingface dataset:
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

AbstractMachine 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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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.