doi:10.30526/2017.IHSCICONF.1811

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Publication Date

Wed Apr 25 2018

Journal Name

Ibn Al-haitham Journal For Pure And Applied Sciences

Volume

2017

Issue Number

IHSCICONF

DOI

10.30526/2017.IHSCICONF.1811

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Using Approximation Non-Bayesian Computation with Fuzzy Data to Estimation Inverse Weibull Parameters and Reliability Function

Non-Bayesian Methods

Inverse Weibull distribution

Expectation Maximization algorithm

Newton-Raphson algorithm

Moment method

Fuzzy data.

Nadia Hashim

Shurooq A.K.

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In real situations all observations and measurements are not exact numbers but more or less non-exact, also called fuzzy. So, in this paper, we use approximate non-Bayesian computational methods to estimate inverse Weibull parameters and reliability function with fuzzy data. The maximum likelihood and moment estimations are obtained as non-Bayesian estimation. The maximum likelihood estimators have been derived numerically based on two iterative techniques namely â€œNewton-Raphsonâ€ and the â€œExpectation-Maximizationâ€ techniques. In addition, we provide compared numerically through Monte-Carlo simulation study to obtained estimates of the parameters and reliability function in terms of their mean squared error values and integrated mean squared error values respectively.

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Publication Date

Wed Dec 01 2021

Journal Name

Journal Of Economics And Administrative Sciences

Mathematical Modelling of Gene Regulatory Networks

Ordinary Differential Equations (ODEs)

Gene-Regulation Networks (GRNs)

Runge-Kutta method (RK)

Time-Discretization

Central Dogma of Biology

Gene-expression

Transcription

Translation

Ruaa Rifaat

Lamyaa Mohammed Ali

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This research includes the use of an artificial intelligence algorithm, which is one of the algorithms of biological systems which is the algorithm of genetic regulatory networks (GRNs), which is a dynamic system for a group of variables representing space within time. To construct this biological system, we use (ODEs) and to analyze the stationarity of the model we use Euler's method. And through the factors that affect the process of gene expression in terms of inhibition and activation of the transcription process on DNA, we will use TF transcription factors. The current research aims to use the latest methods of the artificial intelligence algorithm. To apply Gene Regulation Networks (GRNs), we used a progr

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Publication Date

Thu Aug 01 2019

Journal Name

International Journal Of Research - Granthaalayah

CALCULATION OF MULTIPLE MIXING RATIOS OF GAMMA RAYS FROM 𝑵𝒅(𝒏,𝒏)𝟔𝟎 𝟏𝟒𝟐−𝟏𝟓𝟎 ) 𝟔𝟎𝑵𝒅 𝟏𝟒𝟐−𝟏𝟓𝟎 INTERACTION

Multiple Mixing Ratios

The Constant Statistical Tensor (CST) Method

Electric Quadra Pole 𝐸2

Magnetic Dipole M2

60𝑁𝑑 142−150

Gamma –Transition

𝛿

.

Taghreed

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In the current research, multiple mixing ratios of gamma -transitions of the energy levels 60𝑁𝑑 142−150 isotopes populated in 𝑁𝑑(𝑛, 𝑛 ˊ 60 142−150 ) 60𝑁𝑑 142−150 interaction are calculated using the constant statistical tensor (CST) method. The results obtained are, in general, in good agreement or consistent, within the experimental error, with the results published in the previously researches. Existing discrepancies result from inaccuracies in the experimental results of previous works. The current results confirm the validity of the constant statistical tenser method of calculating the values of mixing ratios and its predictability of errors in experimental results

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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