doi:10.1063/1.5138496

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Publication Date

Wed Dec 11 2019

Journal Name

Aip Conference Proceedings

Volume

2190

Issue Number

1

DOI

10.1063/1.5138496

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Quantization approach to steganography perceptual color spaces

Steganography

Perceptual Color Spaces

Quantization

RGB Color Space Rounding Error

Hussein Ali Sabti

Hameed M

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In this study, we present a new steganography method depend on quantizing the perceptual color spaces bands. Four perceptual color spaces are used to test the new method which is HSL, HSV, Lab and Luv, where different algorithms to calculate the last two-color spaces are used. The results reveal the validity of this method as a steganoic method and analysis for the effects of quantization and stegano process on the quality of the cover image and the quality of the perceptual color spaces bands are presented.

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Publication Date

Mon Sep 25 2017

Journal Name

Ibn Al-haitham Journal For Pure And Applied Sciences

On Double Stage Shrinkage Estimator For the Variance of Normal Distribution With Unknown Mean

Normal Distribution

Double Stage Shrinkage Estimator

Bias Ratio

Mean Squared Error

Relative Efficiency

Expected sample size. Percentage of overall sample saved and probability of avoiding the second sample .

Muna

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This paper is concerned with preliminary test double stage shrinkage estimators to estimate the variance (s²) of normal distribution when a prior estimate of the actual value (s²) is a available when the mean is unknown , using specifying shrinkage weight factors y(Ã—) in addition to pre-test region (R).

Expressions for the Bias, Mean squared error [MSE (Ã—)], Relative Efficiency [R.EFF (Ã—)], Expected sample size [E(n/s²)] and percentage of overall sample saved of proposed estimator were derived. Numerical results (using MathCAD program) and conclusions are drawn about selection of different constants including in the me

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Publication Date

Mon Jun 05 2023

Journal Name

Journal Of Economics And Administrative Sciences

Comparison of Poisson Regression and Conway Maxwell Poisson Models Using Simulation

Poisson regression

Conway-MaxWell Poisson

Maximum Likelinood Method

Mean square error

Akakie

Inverse Simulation.

انحدار بواسون

كونواي ماكسويل بواسون

طريقة الامكان الاعظم

متوسط مربعات الخطأ

الاكايكي

محاكاة المعكوس.

Sarah

Lamyaa

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Regression models are one of the most important models used in modern studies, especially research and health studies because of the important results they achieve. Two regression models were used: Poisson Regression Model and Conway-Max Well- Poisson), where this study aimed to make a comparison between the two models and choose the best one between them using the simulation method and at different sample sizes (n = 25,50,100) and with repetitions (r = 1000). The Matlab program was adopted.) to conduct a simulation experiment, where the results showed the superiority of the Poisson model through the mean square error criterion (MSE) and also through the Akaiki criterion (AIC) for the same distribution.

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Publication Date

Tue Mar 30 2021

Journal Name

Journal Of Economics And Administrative Sciences

Some Estimation for the Parameters and Hazard Function of Kummer Beta Generalized Normal Distribution

/ إنموذج كومر بيتا المعمم

التوزيع الطبيعي

معيار متوسط مربعات الخطأ التكاملي(IMSE)

طريقة الامكان الأعظم .

Kummer Beta Generalized Normal model

distribution

mean squares

Integrated mean squares error

maximum Likelihood method.

Manal Mahmoud

Entsar Arebe

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Transforming the common normal distribution through the generated Kummer Beta model to the Kummer Beta Generalized Normal Distribution (KBGND) had been achieved. Then, estimating the distribution parameters and hazard function using the MLE method, and improving these estimations by employing the genetic algorithm. Simulation is used by assuming a number of models and different sample sizes. The main finding was that the common maximum likelihood (MLE) method is the best in estimating the parameters of the Kummer Beta Generalized Normal Distribution (KBGND) compared to the common maximum likelihood according to Mean Squares Error (MSE) and Mean squares Error Integral (IMSE) criteria in estimating the hazard function. While the pr

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Publication Date

Wed Apr 25 2018

Journal Name

Ibn Al-haitham Journal For Pure And Applied Sciences

Different Estimation Methods for System Reliability Multi-Components model: Exponentiated Weibull Distribution

Exponentiated Weibull Distribution (EWD)

Reliability of multi-component Stress â€“ Strength models R(s

k)

Maximum likelihood estimator (MLE)

Moment estimator (MOM)

shrinkage method (Sh)

Least Squares Estimator (LS)

Rank Set Sampling (RSS). and mean squared error (MSE).

Abbas Najim

Fatima Hadi

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In this paper, estimation of system reliability of the multi-components in stress-strength model R_(s,k) is considered, when the stress and strength are independent random variables and follows the Exponentiated Weibull Distribution (EWD) with known first shape parameter Î¸ and, the second shape parameter Î± is unknown using different estimation methods. Comparisons among the proposed estimators through Monte Carlo simulation technique were made depend on mean squared error (MSE) criteria

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Publication Date

Fri Apr 01 2016

Journal Name

Journal Of Economics And Administrative Sciences

Comparing Bayes Estimators With others , for scale parameter and Reliability function of two parameters Frechet distribution

مقدر الإمكان الأعظم (MLE)

مقدر Bayes الأول

مقدر Bayes الثاني.

Maximum likelihood estimator (MLE) Bayes (1) and Bayes (2) Mean square error (E) is shape parameter is scale parameter under Quadratic loss function under General Entropy loss function

ميسون حميد

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Publication Date

Wed Dec 26 2018

Journal Name

Iraqi Journal Of Science

Statistical Study of Nuclear Energy Levels for 6 Particles in The Nuclear N82 Model Space

Chaos in many body quantum systems

Transition from ordered to chaos

Level density of states

Spectral fluctuations

Calculations of the shell- model with N82 space PACS number(s): 24.60.Lz

21.60.Cs

21.10.Ky

Adel K.

Shatha Farhan

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Publication Date

Thu Aug 01 2019

Journal Name

Journal Of Economics And Administrative Sciences

مقارنة مقدرات بيز لدالة المعولية لتوزيع باريتو من النوع الاول باستعمال دوال معلوماتية مضاعفة مختلفة

Pareto type I distribution

reliability function

bayes method

double prior distributions (chi-gamma square distribution. gamma- erlang distribution

erlang exponential distribution

the squared error loss function.

توزيع باريتو من النوع الاول

دالة المعولية

طريقة بيز

الدوال المعلوماتية المضاعفة : توزيع مربع كاي- كاما

توزيع كاما - ارلنك

التوزيع ارلنك- الاسي

دالة الخسارة التربيعية.

جنان عباس

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The comparison of double informative priors which are assumed for the reliability function of Pareto type I distribution. To estimate the reliability function of Pareto type I distribution by using Bayes estimation, will be used two different kind of information in the Bayes estimation; two different priors have been selected for the parameter of Pareto type I distribution . Assuming distribution of three double prior’s chi- gamma squared distribution, gamma - erlang distribution, and erlang- exponential distribution as double priors. The results of the derivaties of these estimators under the squared error loss function with two different double priors. Using the simulation technique, to compare the performance for

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Publication Date

Tue Dec 31 2019

Journal Name

Journal Of Economics And Administrative Sciences

Comparing Different Estimators for the shape Parameter and the Reliability function of Kumaraswamy Distribution

Kumaraswamy distribution

the shape parameter

reliability function

maximum likelihood

Bayes method

prior distributions (exponential distribution

chi-squared distribution and Erlang-2 type distribution)

the squared error loss function.

توزيع Kumaraswamy

معلمة الشكل

دالة المعولية

الإمكان الاعظم

طريقة بيز

التوزيعات الأولية (التوزيع الاسي

توزيع مربع كاي

توزيع ارلنك)

دالة الخسارة التربيعية.

Jinan Abbas

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In this paper, we used maximum likelihood method and the Bayesian method to estimate the shape parameter (θ), and reliability function (R(t)) of the Kumaraswamy distribution with two parameters l , θ (under assuming the exponential distribution, Chi-squared distribution and Erlang-2 type distribution as prior distributions), in addition to that we used method of moments for estimating the parameters of the prior distributions. Bayes

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Publication Date

Tue Mar 01 2022

Journal Name

Iraqi Journal Of Agricultural Sciences

CORRELATION OF TMPRSS2-ERG GENE FUSION STATUS WITH CLINICOPATHOLOGICAL CHARACTERISTICS IN PROSTATE CANCER OF IRAQI PATIENTS

The aim of this study was to establish the existence and interaction of TMPRSS2 – ERG gene fusion status with clinicopathological features of prostate cancer patients. This research consisted of 123 embedded formalin-fixed tissues obtained from the prostate tumor patients. The above gene fusion is detected through the technique of fluorescent in situ hybridization (FISH) by means of a triple color probe. Seven samples have not been scored due to technical difficulties and 46 patients have fusion (39.6%)

while the remaining (70) have not been seen with fusion. Of the 46 fusion-positive

17 (36%) were caused by ERG-translocation

of the other 29 (63%) were caused by the interstitial segment deletion between the two genes due to their sequential position. In order to find a substantial correlation between 116 patients (fusion took place in 46 and non-fusion in 70) with clinicopathological features

the following findings were calculated: Our findings recorded non-significant correlation at age

BMI and tumor size at which (P-value >0.05).While results showed significant association with: pathological T stage (P value = 0.011)

Gleason score (P value = 0.002)

perineural invasion (P value = 0.047) and PSA (P value = 0.033). The clinicopathological features which had a considerable correlation with fusion status are very important as they aid the doctors in prognosis and treatment of such tumor.

Ammar

Maha

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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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