doi:10.30723/ijp.v15i33.141

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Publication Date

Tue Jan 08 2019

Journal Name

Iraqi Journal Of Physics

Volume

15

Issue Number

33

DOI

10.30723/ijp.v15i33.141

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Effect of concentrations ratios of NiO on the efficiency of solar cell for (CdO)1-x(NiO)x thin films

CdO thin film

solar cell

fill factor

conversion efficiency.

Kadhim A.

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CdO:NiO/Si solar cell film was fabricated via deposition of CdO:NiO in different concentrations 1%, 3%, and 5% for NiO thin films in R.T and 723K, on n-type silicon substrate with approximately 200 nm thickness using pulse laser deposition. CdO:NiO/n-Si solar cell photovoltaic properties were examined under 60 mW/cm2 intensity illumination. The highest efficiency of the solar cell is 2.4% when the NiO concentration is 0.05 at 723K.

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Publication Date

Wed May 25 2022

Journal Name

Iraqi Journal Of Science

Raman Scattering Enhancement by silver Nanostructures Prepared by Electrical Exploding Wire Technique

Electrical exploding cable

rough surface

surface-enhanced Raman scattering (SERS) Rh6G dye molecules

surface plasmon resonance

enhancement factor

FatimaFatimah Jumaah

Hammad R.

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This project aims to fabricate nanostructures (AgNPS) using the electrical exploding wire (EEW) technique using Rhodamine 6G dye as the probe molecule, investigate the effect of AgNPS on the absorption spectra and surface-enhanced Raman scattering (SERS) activities, and advance using porous silicon as an active substrate for surface-enhanced Raman scattering (SERS). X-Ray diffraction (XRD) was used to investigate the structural properties of the nanostructures (AgNPs). Field emission scanning electron microscopy (FE-SEM) was used to investigate surface morphology. A double beam UV-Vis Spectrophotometer was used to analyze the mixed R6G laser dye(of concentration 1x M) absorption spectra with the nanostructures AgNPS (of concentra

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(1)

Publication Date

Fri Jan 01 2021

Journal Name

Journal Of Economics And Administrative Sciences

Predicting Social Security Fund compensation in Iraq using ARMAX Model

/ Akaike Standard (AIC) –Prediction Error Standard(FPE) - Bayesian Akaike Standard (BIC) - Ordinnary least square Method (OLS) - recursive least square Method( RLS) - Kalman Filter – Forgetting factor - Prediction

Zaid Khalil

Firas Ahmmed

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Time series have gained great importance and have been applied in a manner in the economic, financial, health and social fields and used in the analysis through studying the changes and forecasting the future of the phenomenon. One of the most important models of the black box is the "ARMAX" model, which is a mixed model consisting of self-regression with moving averages with external inputs. It consists of several stages, namely determining the rank of the model and the process of estimating the parameters of the model and then the prediction process to know the amount of compensation granted to workers in the future in order to fulfil the future obligations of the Fund. , And using the regular least squares method and the frequ

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Publication Date

Mon Jun 05 2023

Journal Name

Journal Of Economics And Administrative Sciences

Fuzzy Bridge Regression Model Estimating via Simulation

Fuzzy linear regression

Fuzzy least squares method

Fuzzy Bridge regression

multicollinearity

triangular fuzzy numbers

Variance Inflation Factor.

الانحدار الخطي الضبابي

طريقة المربعات الصغرى الضبابية

انحدار الجسر الضبابي

التعدد الخطي

الأرقام الضبابية المثلثية

عامل تضخم التباين.

Rawya

Mohammed

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The main problem when dealing with fuzzy data variables is that it cannot be formed by a model that represents the data through the method of Fuzzy Least Squares Estimator (FLSE) which gives false estimates of the invalidity of the method in the case of the existence of the problem of multicollinearity. To overcome this problem, the Fuzzy Bridge Regression Estimator (FBRE) Method was relied upon to estimate a fuzzy linear regression model by triangular fuzzy numbers. Moreover, the detection of the problem of multicollinearity in the fuzzy data can be done by using Variance Inflation Factor when the inputs variable of the model crisp, output variable, and parameters are fuzzed. The results were compared usin

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Publication Date

Sat Oct 01 2016

Journal Name

Journal Of Theoretical And Applied Information Technology

Factors affecting global virtual teams’ performance in software projects

Today the trend is to perform software development work via distributed geographical area among team

individual or even as an organization. However

due to the global market and international presence of many companies

there is a need to implement a global virtual teams. The global virtual team members are gradually engaged in globalized business environments across space

time and organizational boundaries via information and communication technologies. A global virtual team relies on communication

collaboration

and information exchange are the most important criteria in global virtual teams’ operations. The purpose of this paper is to answer two research questions. The first research question is to identify the factors affecting global virtual teams’ performance. A systematic literature review was conducted to answer the first research question. The second research question is on what the rank of the factor affecting the global virtual teams’ performance according to their level of effect on global virtual teams’ performance. Online survey was conducted within 103 developers and IT managers from eight IT companies to answer the second research question. The Statistical Package for Social Science (SPSS 22) was used to analyze the collected data. In this study

we investigated factors that affect global virtual teams’ performance

factors considered include cultural differences

language problems

time-zone differences

team size

technical problems

lack of trust

lack of sufficient training

and ICT problems. Also the findings indicated that lack of sufficient training is the highest level of effect on global virtual teams’ performance. On the other hand

Ali Yahya Gheni

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