bluuebunny/crossref_metadata_2025_split huggingface dataset:
Synthesis and Properties of Novel (Organic Material-Inorganic Nanoparticles) System for New Pressure Sensors
Authors: Jalil Hussien Huda Abdul , Kadhim Raheem G. , Hashim Ahmed 
Published: March 2021

Abstract
The purpose of this paper is to prepare novel nanocomposite pressure sensors with lightweight, low cost, and high sensitivity. The nanocomposites of poly (ethylene oxide)-polyvinyl pyrrolidone-Tin dioxidenanoparticles -manganese dioxide nanoparticles have been investigated. The structural and dielectric properties (PEO-PVP-SnO2-MnO2) nanocomposite has been studied. Nanocomposite dielectric properties have been evaluated in the frequency range (100 -5×106)Hz. The experimental results demonstrated that as the frequency rises, the dielectric constant and dielectric losses decrease. The dielectric constant, and dielectric losses increase with the concentration of manganese dioxide nanoparticles. The A.C electrical conductivity increases with the concentration of manganese dioxide nanoparticles and the frequency. The application of nanocomposite pressure sensors in the pressure interval (80-160) bar was investigated. The results exhibited that the electric capacitance of (PEO-PVP-SnO2-MnO2) nanocomposites decreases, as the pressure increases. Also, with increasing the weight percentage of manganese dioxide nanoparticles, the electric capacitance of nanocomposites rises. The nanocomposite has a high sensitivity to pressure.
Quantum Dotes of Perovskites Solar Cells based on ZnSe as ETM
Authors: Tareq Dhuha E. , AbdulAlmohsin Samir M. , Waried Hussein H. 
Published: March 2021

Abstract
Numerical analysis and performance improvements of nanostructured Cu2O / CH3NH3PbI3 / ZnSe in heterojunction solar cells have been documented in this paper. The choice for conventional solar cells reaching maximum efficiency of 22.1 percent is predominant for Perovskite photovoltaics. In recent years, organic-inorganic hybrid perovskite solar cells in the photovoltaic research community have gained great interest because of their ease of processing. Low manufacturing costs, excellent characteristics of light-harvesting, A relatively high performance Making it more appealing than other current materials from solar cells. In this study, a numerical simulation using the Solar Cell Capacitance Simulator (SCAPS) of a thin film heterojunction perovskite solar cell to study some parameters that can affect the performance of CH3NH3PbI3 PSC with Cu2O as HTL and ZnSe as ETL performed. The absorber material thickness, ETL and HTL, the absorber material bandgap, and ETL were investigated. Results have shown that the thickness of ZnSe greatly influences the device’s P Process / Analysis: The Capacitance Simulator(SCAPS) is used to perform the study of solar cell design. It is a computer-based software tool and is well adapted for homo and heterojoint, multi-junction, and photovoltaic structure analysis. This software instrument is based on the continuity and Poisson equation of the Holes and Electrons. It is used to optimize the different parameters, such as thickness and temperatures, for this model. CE. As the thickness of ZnSe decreases, the efficiency of the cell increases.
Preparation Methods and Classification Study of Nanomaterial: A Review
Authors: Imran Hadeel J. , Hubeatir Kadhim A. , Aadim Kadhim A. , Abd Dhuha Sh. 
Published: March 2021

Abstract
The world today stands on the brink of an important industrial revolution that is causing important progress in our lives in many industrial, medical electronics, biology, and electronics fields, etc. Nanotechnology is one of the most important sciences at this time. Nanoparticles possess very different chemical and physical properties comparative with macro scale particles. The laser ablation technique is one of the most used and important techniques used for the synthesis of nanoparticles. The laser ablation technique provides the most appropriate nanoparticles with high purity. This paper reported a review of nanoparticles and its properties also the methods used to synthesis it.
Using the Generalize Laguerre Operational Matrix for The Caputo Fractional Derivatives to Solve Some Classes of Fractional Optimal Control Problems
Authors: Ali Mushtaq salh , Albuohimad Basim , Almoaeet Mohammed K 
Published: March 2021

Abstract
This paper aims to develop the new numerical solution method of the fractional optimal control problems (FOCPs) based on the generalized Laguerre polynomials. The generalize Laguerre operational matrix for the Caputo fractional derivatives has been derived. The operational matrix was used together with the properties of the generalized Laguerre orthonormal polynomials to reduce FOCPs to the system of algebraic equations by the direct method. Five examples are included to demonstrate efficient and accurate numerical algorithms for some classes of FOCPs is considered.
Hyperfactored of The arrangements A (G
24) and A (G
27)
Authors: Abtan Rabeaa Gataa , Haraj Raneen Sabah 
Published: March 2021

Abstract
The purpose of this paper is to study the hyperfactored of the complex reflection arrangements A(G
24) a
n
d
A(G
27). Depending on the lattices of the arrangements A(G
24) a
n
d
A(G
27), the basis of these arrangements has been found and then partitioned. Also, showed that A(G
24) and A(G
27), are not hyperfactored and are not inductively factored.
The Estimators of Vector Autoregressive Moving Avarege Model VARMA of Lower Order: VARMA (0,1), ARMA (1,0), VARMA (1,1), VARMA (1,2), VARMA (2,1), VARMA (2,2) with Forecasting
Authors: Al-Nasser A. H. , Abdullah L. T. 
Published: March 2021

Abstract
This research includes analyzing the relationship between two financial time series, which is a series of global monthly Silver price in dollar and global monthly gold price in dollar, a Vector Autoregressive Moving Avarege VARMA Model was used to analysis this relationship, for the period from January 2016 to December 2019, it is 48 monthly value, where the data has been transferred to get the Stationarity, Diekey Fuller test for the Stationarity was conducted, lower order VARMA were estimated, the best order for The model was determined through a standard Akaike information AIC, Akaike information corrected AICC, Hannan-Quinn criterion HQC, Schwarz Bayesian criterion SBC, Final prediction error criterion FPE, It turns out that the best model is VARMA(0,1), according to all standards, Some tests were conducted such as Portmanteau test, Jarque - Bera test, Autoregressive Conditional Heteroscdastic ARCH test to residuals for the selected model, with forecasting for the VARMA(0,1) model for the period from Jan 2020 to Jan 2021, It is 12 monthly value, It turns out that there is an increase in volatility for the two price forecasting series with increase in forecasting period. The simulation has been applied using three samples sizes, It turns out that the model is appropriate when the sample size (50), the result has been computed through the SAS. Program.
Reliability Estimation of Cracked API 5L X70 Pipeline Steel
Authors: Ghelloudj O. , Zelmati D. , Berdjane D. , Gharbi A. , Achouri S. , Ramoul C. E. , Bouhamla K. 
Published: March 2021

Abstract
The aim of this paper is to estimate the reliability of cracked pipeline steel grade API 5L X70 used for hydrocarbon transportation, by coupling a developed mechanical model, based in one hand on the simulation of cracked specimen, and an experimental result of tensile and charpy test, and in the other hand, based on a reliability model by using a first order reliability method (FORM). These pipes are produced by the Algerian company of manufacture of welded pipes (ALFAPIPE Annaba). The experimental task such as resilience and tensile test were carried out on specimens taken from a pipe in the longitudinal and the transversal directions. The resilience tests are carried out at different temperatures in order to estimate the fracture toughness of the material, basing on a global correlation. Besides, tensile tests are performed to bring out the mechanical characteristics of the material. After, the stress intensity factor is assessed using the analytical model of IRWIN. In the reliability analysis, the limit state function is attributed to the moment when the stress intensity factor estimated by Irwin mechanical model, is equal to the fracture toughness of the steel pipe. The basic random variables within the limit state function are assumed to follow a normal distribution in order to simplify the assessment. Then, the evaluation of the reliability index and the parameters sensitivities of the cracked pipelines steel are assessed.
Some Properties of Alpha Interior and Alpha Closure in Double Bi-Topological Space
Authors: Abdulsada Dheargham Ali , Lafta Mohammed Hadi 
Published: March 2021

AbstractIn this paper we will present a study of a new type of internal points and closing points based on (Dɳɱα-open set) and (Dɳɱα-open set) knowledge on a double bi-topological space, with an explanation of the most important characteristics of these concepts.
G-Rad
μ-semiregular modules
Authors: Mohammed Eman , Khalid Waasan 
Published: March 2021

Abstract
Let R be any ring with identity and let M be aunitary left R-module The aim of this paper is to introduce G-R
a
d
µ-semiregular module as a generalization of µ-semiregular module, M is called G-R
a
d

μ
-semiregular module,∀ R

x
in M such that R
a
d

μ
(M) ≤ R

x
, there exists a decomposition M=A⊕B, where A is projective submodule of R

x
and B∩R

x
≪
μ

M. On the other hand the notion of R-F-µ-semiregular module as a generalization of F-µ-semiregular module is defined, Let M be an R-module, and let F be a proper submodule of M, M is called R-F-µ-semiregular module, if for each x ∈ M, such that R
a
d

μ
(M) ≤ F, there exists a projective summand submodule A of R

x
, such that M=A⊕B, B ≤ M and B∩R

x
≪
μ
F. Finally, a condition under which µ-semiregular module be G-R
a
d

μ
-semiregular module, is given the basic properties of G-R
a
d

μ
-semiregular module. and R-F-µ-semiregular module are proved.
Determine the Effect Hookah Smoking on Health with Different Types of Tobacco by using Parallel Processing Technique
Authors: Tawfiq L N M , Khamas A H 
Published: March 2021

Abstract
In this paper, we design efficient neural network as classification problem to examine the perception of health risks of different types of tobacco use in comparison to hookah use among 600 participants respond to a survey conducted in Baghdad city, who never smoke or smoke cigarette, hookah, both cigarette and hookah; and determine whether smoking status influenced the perceived health risks of hookah smoking when compared to other forms of tobacco use. The input data for suggested design is obtained from survey had 30 questions including questions about demographics, socioeconomic status, health care, etc. the network training based on numerical optimization procedure. This technique is much faster as compared to traditional approaches and it also provides highly accurate results. This study found that 48.1%of the participants believed that hookah was less harmful than each of the other tobacco products studied. Approximately 26% of cigarette smokers are likely to smoke hookah also. These findings emphasize the importance of spreading awareness about the health risks associated with hookah smoking and implementing strict laws for showing tobacco-related warnings in hookah advertisements and on the packets of hookah accessories given the increasing popularity of hookah, especially among the youth, in the Baghdad city.
Using Nano Composites to Purify Water from Phenol Pollutants
Authors: Talib Salam Hussein , Challab Mohammed Khlaif , Hussein Alhameedawi Firas Ali 
Published: March 2021

Abstract
Nano industry is applicable to refinery of water. This study presents the theoretical model in order to separating the phenol pollution with polymer Nano composite. Relation shown that the bending the particles is a method to identification of this particles. Increasing the size of phenol lead to suitable performance of polymer nano composite to refinery of water. Magnet property helps to high performance in absorbing the phenol nanoparticles. Performance of this method is higher than 60%. This result is suitable to resume the separating the nanoparticles. But size of particle has no relation with performance of this method.
Mathematical Optimization Techniques in Computational of Biological Models
Authors: Hadi Huda Amer , Al-Jilawi Ahmed Sabah 
Published: March 2021

AbstractThe aim of this research is focused on the mathematical optimization in computational systems biological models based on find the good method that gives converges faster. Our strategy is to use Bundle Method instead of using Subgradient Methods. Also, we improve the convergence of theoretical properties of the methods. The basic idea of approximation is the subdifferential of the objective function by using subgradients from previous iterations of a bundle method.
Numerical Solution of Volterra Integro–Differential Equation Using 6thOrder Runge-Kutta Method
Authors: Al-Shimmary A. F. , Hussain A. K. , Radhi S.K. 
Published: March 2021

AbstractIn this paper, a 6thorder Runge-Kutta with seven stages method for finding the numerical solution of Volterra integro-differential equation is considered. The integral term in the Volterra integro-differential equation approximated using the Lagrange interpolation numerical method is discussed. Some illustrative examples are presented to illustrate the accuracy and efficiency of the method and the results are compared with the 5thorder Runge-Kutta-Fehlberg and the Improved Runge-Kutta of the 5thorder method, Tables and Figures are provided to demonstrate the validity and applicability of the method as well as the approximate accuracy of results. All numerical calculations in this paper have been carried out with MATLAB.
Asymptotic Regional Gradient Reduced-Order Observer
Authors: Al-Saphory Raheam A. , Al-Jawari Naseif J. , Al-Janabi Asmaa N. 
Published: March 2021

Abstract
The aim of this paper is to extend the notion of general asymptotic regional gradient observer (G
A
R
G-observer) to the reduced order case. More precisely, we study and discuss the existing of this approach in a sub-region of the considered domain. Thus, we show that the approach is enables to estimate the unknown part of the state gradient when the output function gives part of information about the region state in ω. The characterization of this notion depend on regional gradient strategic sensors (R
G
S-sensor) concept in order that asymptotic regional gradient reduced-order observability (A
R
G
R
O-observability) to be achieved and analyzed. An application presented to various situation cases of strategic sensors.
Numerical Solution of a Two-Dimensional Laplace Equation with Dirichlet Boundary Conditions
Authors: Kahlaf Saja J. , Mhassin Ali A. 
Published: March 2021

Abstract
In this paper, we use numerical techniques to find the approximate solution of the two-dimensional Laplace equation with. Dirichlet boundary conditions. We have applied two methods. in particular in order to obtain the numerical solution to this equation. The first is the finite difference method using two different factors (five and nine points) for the Laplace.equation. The second method is finite elements in regular shape. We compared the numerical solutions obtained by these two methods. We found that the finite difference method using different factor( nine-point )method is the most accurate method after we compare these results with the exact solution.
Force Field Feature Extraction Using Fast Algorithm for Face Recognition Performance
Authors: Qasim Kian Raheem , Qasim Sara Salman 
Published: March 2021

Abstract
Face recognition is method of recognizing individuals by facial expressions. It has become essential for security and surveillance applications, including banks, organisations, workplaces, and social areas, and is needed everywhere. In face recognition, there are a variety of difficulties faced, including face shape, age, sex, lighting, and other variable factors. Another problem is that the scale of the servers for these apps is relatively limited. Education and acknowledgment, thus, are increasingly complicated. In recent years, many unchanged features have been proposed in the literature, in this paper approach the use of the fast algorithm as local descriptors, and as we shall see, it is not only fixed-size features, but also offers the advantage of being highly efficient. The proposed approach allows distinguishing the destination after converting the image to the HSV system, after which the force field features will be extracted using the fast algorithm and then classification by using the distance for three methods (Manhattan, Euclidean, and Cosine) through which a comparison is made to choose the best resolution, as it was found that the resulting accuracy of the two dataset (ORL and UFI) is 99.9%.
Testing Two Halo Models by Galactic Rotation Curve
Authors: Mohammed Ali Israa Abdulqasim 
Published: March 2021

Abstract
This paper presents the observed data from the rotation curve of NGC 4651 galaxy from Very Large Array (VLA) and examine the results from isothermal and Bose–Einstein Condensate models. It is found that both models can be closed to the derived rotation curve from observations for this source. By fitting the observed rotation curve with the expectation models, the mass of halo from models is about 2 × 1011 M⊚. Hence, NGC 4651 galaxy can be dominated by the invisible matter.
Systematized Warehouse Based On IoT
Authors: Bakyalakshmi V , Anithamary M , Bharathy R , Jhanani Shree U 
Published: March 2021

Abstract
In general, distribution centers are utilized to store merchandise or items. In the distribution centers, if the client needs to find any item it is troublesome, in light of the fact that the client needs to do a nitty-gritty hunt physically in all the accessible stockrooms this requires a great deal of exertion. So to stay away from this issue the distribution center stock administration framework is useful in light of the fact that it keeps up the definite item data and lets us know in which stockroom the item is available. In spite of the way that there are various far off correspondence advancements the RFID suits the best for the dispersion community stock organization structure. The name information is moved from the transmitter section to open-source gear through a distant association with the guide of the web. The appropriation community stock organization structure dependent on the designing of the Internet of Things is made to follow the things associated with the marks with thing information and their specific time stamps for extra checks. The all-out framework gives a model to relate the data stream and material stream. The site page which is an inherent understanding to give advantageous and an interface to the client to follow the items. The created framework results in an exceptionally ease framework and works powerfully contrasted and the current present stockroom stock administration frameworks.
Automated Energy Efficient Solar Power Management System Using Impedance Source Inverter
Authors: Jhanani Shree U , Bharathy R , Anithamary M , Bakyalakshmi V 
Published: March 2021

Abstract
World population needs to cope up with increasing demand of renewable resources in modern world has led to the need to build up an exceptionally steady suspension framework equipped for working in multi-territory surfaces. To plan a superior, ease inverter for photovoltaic framework dependent on Impedance source idea. Conventional Voltage-source inverter and current source inverter has improved to the new Impedance source inverter. This impedance source inverter can give a solitary stage power change idea while the customary inverter requires two phase power transformations. It can control the inverter yield power, track the PV board’s greatest force point, as well as handling the power of the battery simultaneously. The device board is followed as per the course of the sun so that maximum amount of the source (sun light) can be utilized. This will result in 20%–30 % increase in efficiency. Test results are introduced for approval of the hypothetical examination and regulator plan.
Global simulations of marine plastic transport show plastic trapping in coastal zones
Authors: Onink Victor , Jongedijk Cleo E , Hoffman Matthew J , van Sebille Erik , Laufkötter Charlotte 
Published: March 2021

Abstract
Global coastlines potentially contain significant amounts of plastic debris, with harmful implications for marine and coastal ecosystems, fisheries and tourism. However, the global amount, distribution and origin of plastic debris on beaches and in coastal waters is currently unknown. Here we analyze beaching and resuspension scenarios using a Lagrangian particle transport model. Throughout the first 5 years after entering the ocean, the model indicates that at least 77% of positively buoyant marine plastic debris (PBMPD) released from land-based sources is either beached or floating in coastal waters, assuming no further plastic removal from beaches or the ocean surface. The highest concentrations of beached PBMPD are found in Southeast Asia, caused by high plastic inputs from land and limited offshore transport, although the absolute concentrations are generally overestimates compared to field measurements. The modeled distribution on a global scale is only weakly influenced by local variations in resuspension rates due to coastal geomorphology. Furthermore, there are striking differences regarding the origin of the beached plastic debris. In some exclusive economic zones (EEZ), such as the Indonesian Archipelago, plastic originates almost entirely from within the EEZ while in other EEZs, particularly remote islands, almost all beached plastic debris arrives from remote sources. Our results highlight coastlines and coastal waters as important reservoirs of marine plastic debris and limited transport of PBMPD between the coastal zone and the open ocean.
Developing solar energy in household scale at Tan Binh District, Ho Chi Minh City, Vietnam
Authors: Thanh Hang Vo , Nguyen Thi Phuong Vy 
Published: March 2021

Abstract
In 2019, Ho Chi Minh City has a total population of 8.99 million with GRDP around 6.021 USD/year [1]. Given the population size and the above GDP level, the electricity consumption demand for production and living purposes in the City was 83 million kWh per day in 2019 [2]. With high electricity demand, it must have developed the rate of renewable energy supply. And in Tan Binh district area, the population is considered quite high and is one of the economic development areas of the city. In Ho Chi Minh City, the sufficient supply of electricity is the top concern. And Tan Binh district is one of 24 districts belong to Ho Chi Minh City with crowded residential and industrial parks, that also has 1-2 houses applying solar energy. In there, solar energy is developing with industrial scale in many enterprises. So, this research was initial survey the potential using solar energy for household and the challenges of resident in Tan Binh district about applying solar energy for their home. According this study, now there is 1 house using and rating positively about solar energy combine national power grid. Around 92% people (1,500 interviewers in 15 wards) think that using solar energy is potential applying in their home because it gains the economic efficiency for reducing electricity fee. But it’s only 23% household interested in using solar energy in their house, when 50% citizens unsure about that. As the results, the factors effective their decision are the policies support from national government about using solar energy and the increasing of electricity bill. It’s a point for encounrage the applying solar energy in household scale in Ho Chi Minh.