• Journal of the Korean Statistical Society
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• v.22 no.1
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• pp.39-54
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• 1993

In the three-factor nested variance component model with equal numbers in the cells given by $y_{ijkm} = \mu + A_i + B_{ij} + C_{ijk} + \varepsilon_{ijkm}$, the exact confidence intervals of the variance component of $\sigma^2_A, \sigma^2_B, \sigma^2_C, \sigma^2_{\varepsilon}, \sigma^2_A/\sigma^2_{\varepsilon}, \sigma^2_B/\sigma^2_{\varepsilon}, \sigma^2_C/\sigma^2_{\varepsilon}, \sigma^2_A/\sigma^2_C, \sigma^2_B/\sigma^2_C$ and $\sigma^2_A/\sigma^2_B$ are not found out yet. In this paper approximate lower and upper confidence intervals are presented.

• International Journal of Quality Innovation
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• v.9 no.2
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• pp.119-127
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• 2008

In this paper, we survey Six Sigma in Korea company real fields. Six Sigma itself are developed depend on each company culture and strategy. Our country has been more than 10 years since introduced Six Sigma in our country. Each company which work six Sigma are developed differ way depending on his company situation. Our country Six Sigma in our country is necessary to survey and analysis. Firstly, we survey how to use Six Sigma. Next, we survey to find success factor and failure factor by reports published by company and papers by published in journals.

• Journal of Korean Society of Water and Wastewater
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• v.28 no.1
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• pp.125-134
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• 2014

6 sigma is a management innovation strategy which improves most of all managerial processes including transactional and project based operations such as marketing, purchasing, accounting, and construction. Even though 6 sigma is trying to solve problems from the customer's viewpoint in the scientific manner, project leader feels some difficulties in implementation because of several reasons. Especially the difficulties are prevalent in construction site. This paper investigates the cause of the difficulties through questionnaires, analyzes the investigation results, and verifies the critical success factors of 6 sigma implementation. Factor analysis has been usually employed in reducing quantity of data and summarizing information chaos. In this study, several variables from questionnaires are grouped into just only four factors by the process of factor analysis. The critical success factors are extracted as project management system, implementation mechanism, site condition, and project ownership. Some ideas for each individual success factor are suggested, which are expected to be useful in successful implementation of 6 Sigma in construction site.

• Proceedings of the Korean Biophysical Society Conference
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• 2002.06b
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• pp.54-54
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• 2002

$\sigma$$\^$R/ is a sigma factor responsible for inducing the thioredoxin system in response to oxidative stress in Streptomyces coelicolor. RsrA, an anti-sigma factor, specifically binds to $\sigma$$\^$R/ and inhibits $\sigma$$\^$R/-directed transcription under reducing conditions. Exposure to H$_2$O$_2$ or thiol-specific oxidant diamide dissociates $\sigma$$\^$R/-RsrA complex. The redox-dependent regulation of $\sigma$$\^$R/-RsrA binding has been reported to involve thiol-disulfide exchange in RsrA, which contains 7 cysteines in 105 amino acid residues.(omitted)

• Journal of Advanced Marine Engineering and Technology
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• v.24 no.6
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• pp.24-33
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• 2000

This paper investigates the relationship between J-integral and crack tip opening displacement, ${\delta}_t$ using Gordens results of numerical analysis. Estimation were carried out for several strength levels such as ultimate, flow, yield, ultimate-flow, flow-yield stress to determine the influence of strain hardening and the ratio of crack length to width on the $J-{\delta}_t$ relationship. It was found that for SE(B) specimens, the $J-{\delta}_t$ relationship can be applied to relate J to ${\delta}_t$ as follows $J=m_j{\times}{\sigma}_i{\times}{\delta}_t$ where $m_j=1.27773+0.8307({\alpha}/W)$, ${\sigma}_i:{\sigma}_U$, ${\sigma}_{U-F}={\frac{1}{2}} ({\sigma}_U+{\sigma}_F$), ${\sigma}_F$, ${\sigma}_F}$ $Y=({\sigma}_F+{\sigma}_Y)$, ${\sigma}_Y$

• Journal of the Korean Data and Information Science Society
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• v.9 no.2
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• pp.159-164
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• 1998

The two-factor nested variance component model with equal numbers in the cells are given by $y_{ijk}\;=\;{\mu}\;+\;A_i\;+\;B_{ij}\;+\;C_{ijk}$ and the confidence intervals for the ratio of variance components, ${\sigma}^{2}_{A}/{\sigma}^{2}_{B}$ are obtained in various forms by many authors. This article shows the probability ranges of these confidence intervals on ${\sigma}^{2}_{A}/{\sigma}^{2}_{B}$ proved by the mathematical computation.

• BMB Reports
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• v.43 no.3
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• pp.176-181
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• 2010

The primary sigma factor ($\sigma^{A}$) of Staphylococcus aureus, a potential drug target, was little investigated at the structural level. Using an N-terminal histidine-tagged $\sigma^{A}$ (His-$\sigma^{A}$), here we have demonstrated that it exits as a monomer in solution, possesses multiple domains, harbors primarily $\alpha$-helix and efficiently binds to a S. aureus promoter DNA in the presence of core RNA polymerase. While both N- and C-terminal ends of His-$\sigma^{A}$ are flexible in nature, two Trp residues in its DNA binding region are buried. Upon increasing the incubation temperature from 25$^{\circ}$ to 40$^{\circ}C$, $\sim$60% of the input His-$\sigma^{A}$ was cleaved by thermolysin. Aggregation of His-$\sigma^{A}$ was also initiated rapidly at 45$^{\circ}C$. From the equilibrium unfolding experiment, the Gibbs free energy of stabilization of His-$\sigma^{A}$ was estimated to be +0.70 kcal $mol^{-1}$. The data together suggest that primary sigma factor of S. aureus is an unstable protein. Core RNA polymerase however stabilized $\sigma^{A}$ appreciably.

• The Bulletin of The Korean Astronomical Society
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• v.37 no.1
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• pp.35.1-35.1
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• 2012

Determining the virial factor of the broad-line region (BLR) gas is crucial in calibrating AGN black hole mass estimators, since the measured line-of-sight velocity needs to be converted into the representative velocity of the BLR gas. The unknown virial factor has been empirically calibrated based on the $M_{BH}-{\sigma}_*$ relation of non-AGN galaxies, but the claimed values are different by a factor of 2 in recent studies. We investigate the origin of the difference by measuring the $M_{BH}-{\sigma}_*$ relation using the most updated nearby galaxy sample, and explore the dependence of the virial factor on the various fitting methods. We find that the discrepancy is mostly caused by the sample bias while the difference stemming from various regression methods is marginal. Based on the best-determined virial factor, we present the updated $M_{BH}-{\sigma}_*$ relation of local active galaxies.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2006.11a
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• pp.539-544
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• 2006

This study has been attempted to find that factors for successful six-sigma implementation influence non-financial performance & financial performance in korean finance industry. In addition, goal of this study is to find out core factor in korean finance industry. To achieve the aim of this study, a document study and interview and an empirical analysis were performed. The collected questionnaires for the empirical analysis were processed statistically through data cording. Cronbach'a was conducted to get the construct reliability. To identify which factors for successful six-sigma implementation influence performances of six-sigma implementation, factor analysis was conducted to get the construct validity. After factor analysis, multiple regressions were utilized to identify the core factors (or factors for successful six-sigma implementation). The result of the study that has been derived through this process is summarized below. Firstly, by analyzing the effect factors for successful six-sigma implementation has on non-financial performance of finance industry, it shows that Process-integration & standardization variable has influenced. Secondly, by analyzing the effect factors for successful six-sigma implementation has on financial performance of finance industry, it shows that 'Process-integration & standardization' variables and 'Customer & Market mind' variables have influenced. The results of this study show that 'Process-integration & standardization' and 'Customer & Market mind' are core factors to influence non-financial performance & financial performance in korean finance industry

• International Journal of Quality Innovation
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• v.9 no.2
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• pp.39-56
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• 2008

Six Sigma has been one of main quality improvement approaches since Motorola first invented Six Sigma in 1987. Many scholars and consult experts have discussed the critical success factors of implementing Six Sigma management, but most of them are based on related theories or qualitative analyses. In the paper, we first review critical success factor of Six Sigma status quo based on literature. Then we design the questionnaire and survey China manufacturing enterprises that have introduced Six Sigma management. And finally, we analyze the critical success factors of China manufacturing industry implementing Six Sigma management by using structural equation model and find that leadership and Six Sigma strategy, focus on market and customer, evaluation and motivation, selecting, managing and implementing Six Sigma projects are four critical success factors of China manufacturing enterprises implementing Six Sigma management. At the same time, the paper also presents the relationships between the critical success factors. The results are of important role in China manufacturing industry locating resources, eliminating waste and improving Six Sigma performance.