• Journal of the Korea Safety Management & Science
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• v.15 no.1
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• pp.293-301
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• 2013

The purpose of this study is to introduce the limit of previously used six sigma quality process evaluation metrics, $Z_{st}$ and $P_{pk}$, and a solution to overcome this drawback by using a metric based on performance evaluation of Z-factor quality innovation. Case analysis on projects from national six sigma contest from 2011 to 2012 is performed and literature review on new drug development HTS (High Throughput Screening) is used to propose innovative performance evaluation metrics. This research shows that experimental study on six sigma evaluation metric, $Z_{st}$ and $P_{pk}$, have no significance difference between industrial type (Manufacturing, Semi-Public Institute, Public Institute) and CTQ type (Product Technology Type CTQ, Process Technology Type CTQ). Following discovery characterize this quality improvement as fixed target type project. As newly developed moving target type of quality innovation performance metric Z-Factor is used for evaluating experimental study, hypothetical analysis suggests that $Z_{st}$ and $P_{pk}$ share different relationship or even show reciprocal relationship. Constraints of the study are relatively small sample size of only 37 projects from past 2 years and conflict on having interview and communication with six sigma quality practitioner for qualitative experimental study. Both moving target type six sigma innovation project and fixed target type improvement project or quality circle enables efficient ways for a better understanding and quality practitioner use by applying quality innovation performance metric. Downside of fixed target type quality performance evaluation metric, $Z_{st}$ and $P_{pk}$, is presented through experimental study. In contrast, advantage of this study is that high throughput requiring product technology, process technology and quantum leap typed innovation effect is evaluated based on precision and accuracy and Z-Factor that enables relative comparison between enterprises is proposed and implemented.

• Korean Journal of Microbiology
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• v.45 no.1
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• pp.10-16
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• 2009

A diverse range of stresses such as heat, cold, salt, ethanol, oxygen starvation or nutrient starvation induces same stress-responsive proteins. This general stress response enhances bacterial survival significantly. In Bacillus subtilis and closely related Gram-positive bacteria Listeria monocytogenes, the general stress response is controlled by the alternative transcription factor ${\sigma}^B$. The activity of ${\sigma}^B$ is regulated post-translationally by a signal transduction network that has been extensively studied in B. subtilis, and serve as a model for L. monocytogenes. The proposed model of L. monocytogenes signal transduction network is similar to that of B. subtilis, but the energy stress pathway is missing. More than 150 general stress proteins belong to ${\sigma}^B$ regulon of B. subtilis and L. monocytogenes. In both bacteria, ${\sigma}^B$ function is primarily important for resistance to diverse stresses. In addition, ${\sigma}^B$ function contributes to the control of important virulence genes in food-borne pathogen L. monocytogenes. Therefore, understanding of the general stress response is important not only for bacterial physiology, but also for pathogenicity.

• Proceedings of the Korean Society for Quality Management Conference
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• 2004.04a
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• pp.211-216
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• 2004

6 Sigma uses DMAIC (Define, Measure, Analyze, Improve, Control) methodology as process of solving problem. Enterprise already propelling successfully 6 sigma such as Motorolla, GE and consulting companies leading 6 sigma also propose DMAIC methodology traditionally But from making 6 sigma activated, enterprises and 6 sigma consulting companies propose 6 sigma methodology matching office indirection part and research and development part. As the forward example, DFSS(Design For Six Sigma) is R&D part application in GE. This study investigates 6 sigma methodology corresponding to Right Process of the kernel factor. Especially for optimum design of the R&D part, revise DFSS definition and general concept organization through DFSS methodology research and analysis.

• International Journal of Quality Innovation
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• v.6 no.3
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• pp.121-131
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• 2005

Six Sigma uses DMAIC (Define, Measure, Analyze, Improve, Control) methodology as the process of a solving problem. Enterprises already propelling Six Sigma successfully, such as Motorola, GE and consulting companies, also traditionally propose DMAIC methodology. But, from activating Six Sigma, enterprises and Six Sigma-consulting companies propose Six Sigma methodology matching indirection part of office and R&D part. As an example, DFSS (Design For Six Sigma) is part of R&D application in GE. This study investigates Six Sigma methodology corresponding to the Right Process of the kernel factor. Especially for the optimum design of R&D, the study revises the definition of DFSS and the general organization through Lean DFSS methodology research and analysis.

• Journal of Applied Reliability
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• v.11 no.1
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• pp.59-81
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• 2011

Six Sigma has been disseminated into a variety of areas. It is believed that a stepwise understanding of Six Sigma's DMAIC is required for successes of unit projects. Meanwhile, infra-structure factors, such as leadership, organization, personnel management, educational system, etc., are also important to safely implant the Six Sigma into the whole enterprise and to thoroughly create the culture of innovation and enterprise. Careful analysis of those elements makes it possible to draw common connection between Project Management and the Six Sigma. This study drives the success elements for the successful adoption of the Six Sigma in the Korea Western Power Co., Ltd., of which management was evaluated as one of the tops based on the results of 2007 Management Innovation Assessment and arranges the similarity of like this factor and Enterprise Project Management. The results of this study are expected to provide a useful guideline for the adoption of the Six Sigma in whole company level.

• Proceedings of the Korean Society for Quality Management Conference
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• 2006.04a
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• pp.431-436
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• 2006

6 Sigma uses DMAIC (Define, Measure, Analyze, Improve, Control) methodology as process of solving problem. Enterprise already propelling successfully 6 sigma such as Motorolla, GE and consulting companies leading 6 sigma also propose DMAIC methodology traditionally. But from making 6 sigma activated, enterprises and 6 sigma consulting companies propose 6 sigma methodology matching office indirection part and research and development part. As the forward example, DFSS(Design For Six Sigma) is R&D part application in GE. This study investigates 6 sigma methodology corresponding to Right Process of the kernel factor. Especially for optimum design of the R&D part, revise DFSS definition and general concept organization through Lean DFSS methodology research and analysis.

• Proceedings of the Korea Concrete Institute Conference
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• 1997.10a
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• pp.527-532
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• 1997

Design strength of structural members could be determined by applying a strength reduction factor to nominal strength. At the beginning point of the transition region for the strength reduction factor, P=0.1$\sigma$$_{ck}A_g$, only sectional area and concrete strength are adopted as the variables of P=0.1$\sigma$$_{ck}A_g$. Therefore, P=0.1$\sigma$$_{ck}A_g$ is the empirically adopted which does not consider steel ratio, steel yielding stress, and steel arrangement. So, this research was perpormed the computer program for the analysis of axial force-moment-curvature relationship of reinforced concrete columns by sectional behaviour nonlinear analysis using a concrete compressive stress-strain curve, in order to investigate the ductility of reinforced concrete columns. As a result, ductility indicies of axial force, P=0.1$\sigma$$_{ck}A_g$, represented the lack of consistency of the indicies value for the various sections.

• Journal of Korean Society for Atmospheric Environment
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• v.12 no.2
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• pp.141-149
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• 1996

Lateral dispersion parameter(.sigma.$_{y}$) which is an important factor in atmospheric dispersion can be estimated byusing wind direction fluctuation(.sigma.$_{\theta}$). In this paper, we studied the characteristics of the .sigma.$_{\theta}$ in the Chunchon basin and calculated the .sig- ma.$_{y}$ by using the .sigma.$_{\theta}$. We could find some characteristics of the .sigma.$_{\theta}$ which showed small value, when the atmospheric condition was in weak unstable (C class) and neutral (D class). Moreover, when the atmospheric stability was neutral, there was no difference of .sigma.$_{\theta}$ with wind speed. On the other hand, .sigma.$_{\theta}$ showed large values at the strong unstable (A class) and strong stable (F class) condition with low wind speed. In this case, the .sigma.$_{\theta}$ increased as long as averaging time due to the long-period wind direction fluctuation by the terrain effect. In the result of calculation of .sigma.$_{y}$, it was smaller than that of pasquill-Gifford curve. Especially, when the atmospheric condition was in a neutral and stable, .sigma.$_{y}$ showed small increment as the downwind distance increased.creased.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.35 no.2
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• pp.220-227
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• 2012

The case company has driven the six sigma innovation programme company wide for the last seven years without any stop in spite of the CEO change. There was neither any benchmark nor the sufficient number of internal experts during the initial stage of driving six sigma. However, the company raised a lot of innovation experts such as MBB, BB and GB, thereby successfully changed the way of employees' doing work and reaped an enormous amount of either visible or invisible performances as a result of implementing the six sigma innovation programme. This paper deals with both main activities undertaken at each stage of the innovation life cycle of six sigma and their performances in a ICT (Information Communication Technology) industry. The performances are described from the four aspects of a balanced score card (BSC) and finally some strategic implications suggested.

• Journal of Microbiology
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• v.42 no.2
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• pp.103-110
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• 2004

In order to understand the molecular basis of selective expression of stationary-phase genes by RNA polymerase containing$\sigma$$\^$38/ (E$\sigma$$\^$38/) in Escherichia coli, we examined transcription from the stationary-phase promoters, katEP, bo1AP, hdeABP, csgBAP, and mcbP, in vivo and in vitro. Although these pro-moters are preferentially recognized in vivo by E$\sigma$$\^$38/, they are transcribed in vitro by both E$\sigma$$\^$38/ and E$\sigma$$\^$70/ containing the major exponential $\sigma$, $\sigma$$\^$70/. In the presence of high concentrations of glutamate salts, how-ever, oldy E$\sigma$$\^$38/ was able to efficiently transcribe from these promoters, which supports the concept that the promoter selectivity of $\sigma$$\^$38/-containing RNA polymerase is observed only under specific reaction con-ditions. The examination of 6S RNA, which is encoded by the ssr1 gene in vivo, showed that it reduced E$\sigma$$\^$70/ activity during the stationary phase, but this reduction of activity did not result in the elevation of E$\sigma$$\^$38/ activity. Thus, the preferential expression of stationary-phase genes by E$\sigma$$\^$38/ is unlikely the con-sequence of selective inhibition of E$\sigma$$\^$70/ by 6S RNA.