• Proceedings of the KSR Conference
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• 2008.11b
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• pp.2021-2034
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• 2008

This paper shows the result of study on the process improvement/innovation based on CMMI(Capability Maturity Model Integration) for Development V1.2 staged representation in the view of engineering area of software, hardware and system. This paper intend to help rolling stock industry to define & innovate process and finally obtain certificate for achievement of CMMI V1.2 from SEI authorized SCAMPI Lead Appraiser through the introduction experienced by Hyundai Rotem Company(car-builder and supplier of electronic & electrical equipment) such as why CMMI-based process definition & improvement are planned and how each processes of CMMI V1.2 Level 3 have been implementing and how obtaining the certificate of CMMI Maturity Level 3 of CMMI for Development V1.2 staged representation etc. This paper shows the introduction to CMMI V1.2 model, process improvement methodology and CMMI appraisal on the basis of Standard $CMMI^{SM}$ Appraisal Method for Process Improvement($SCAMPI^{SM}$), V1.2. And, this paper shows about what kinds of activities/practices of 18 processes(CMMI Maturity Level 3) is essentially implemented to satisfy their's specific goal and general geal through Hyundai Rotem Company's experiences. This paper shows the advantage and problem by adopting CMMI V1.2 model. Especially, it present the corrective/preventive actions against the identified problem in order to improve processes.

• Journal of Power Electronics
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• v.19 no.2
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• pp.529-539
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• 2019

The modular multilevel converter (MMC) has become a promising topology for high-voltage direct current (HVDC) transmission systems. To control a MMC system properly, the ac-side current, circulating current and submodule (SM) capacitor voltage are taken into consideration. This paper proposes a low-computation indirect model predictive control (IMPC) strategy that takes advantages of the conventional MPC and has no weighting factors. The cost function and duty cycle are introduced to minimize the tracking error of the ac-side current and to eliminate the circulating current. An optimized merge sort (OMS) algorithm is applied to keep the SM capacitor voltages balanced. The proposed IMPC strategy effectively reduces the controller complexity and computational burden. In this paper, a discrete-time mathematical model of a MMC system is developed and the duty ratio of switching state is designed. In addition, a simulation of an eleven-level MMC system based on MATLAB/Simulink and a five-level experimental setup are built to evaluate the feasibility and performance of the proposed low-computation IMPC strategy.

• Journal of Microbiology and Biotechnology
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• v.28 no.2
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• pp.236-245
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• 2018

Ingredients of soy and fermented soy products have been widely utilized as food supplements for health-enhancing properties. The aim of this study was to evaluate the effects of fermented soymilk (FSM) and soymilk (SM) on free fatty acid-induced lipogenesis in the hepatocellular steatosis model. HepG2 cells were incubated with palmitic acid (PA) for 24 h to induce lipogenesis and accumulation of intracellular lipid contents. The PA-treated cells were co-incubated with FSM, SM, genistein, and estrogen, respectively. Lipid accumulation in the PA-treated HpG2 cells was significantly decreased by co-incubation with FSM. Treatment of HepG2 cells with PA combined with genistein or estrogen significantly increased the expression of SREBP-1. However, FSM co-incubation significantly attenuated SREBP-1 expression in the PA-treated HepG2 cells; in addition, expression of NRF-2 and phosphorylation of ERK were significantly increased in the PA and FSM co-incubated cells. PA-induced ROS production was significantly reduced by FSM and SM. Our results suggested that the bioactive components of FSM could protect hepatocytes against the lipid accumulation and ROS production induced by free fatty acids. These effects may be mediated by the inhibition of SREBP-1 and the activation of NRF-2 via the ERK pathway in HepG2 cells.

• Korean Journal of Agricultural and Forest Meteorology
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• v.22 no.3
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• pp.152-163
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• 2020

The present study introduces a procedure to prepare and manage a high-resolution rainfall and soil moisture (SM) database in the LAMP prediction system, especially for landslide researchers. The procedure also includes converting the data into spatial resolution suitable for their interest regions following proper map projection methods. The LAMP model precipitation and SM data are quantitatively and qualitatively evaluated to identify the model prediction characteristics using the ERA5 reanalysis precipitation and observed 10m depth SM data. A detailed process of converting LAMP Weather Research and Forecasting (WRF) output data for 10m horizontal resolution is described in a step-wise manner, providing technical convenience for users to easily convert NetCDF data from the WRF model into TIF data in ArcGIS. The converted data can be viewed and downloaded via the LAMP website (http://df.ncam.kr/lamp/index.do) of the National Center for AgroMeteorology. The constructed database will contribute to monitoring and prediction of landslide risk prior to landslide response steps and should be data quality controlled by more observation data.

• Survey Research
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• v.8 no.1
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• pp.1-30
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• 2007

Several corporations are adopting the 6 Sigma program. Not all corporations are yielding intended results. The inconsistent results may due to the absence of an adequate strategy formulation of 6 Sigma implementation. The 6 Sigma is a qualify control program but its implications are not confined only to qualify improvement. The 6 Sigma program is a change program to bring about changes in organizations. The thesis focuses on developing an installation strategy or model of 6 Sigma program. The utility of the model developed in this research is supported by the empirical evidence. The validity of the model is tested and verified based on the questionnaire survey conducted at 281 business firms. Few research has adopted the empirical survey. The previous researches are mostly centered around identifying success factors. Unlike the present methodology adopted in this research, the past research methodologies are mainly case studies. The distinctive feature of this research does not confine only to the methodology. This research attempted to identify an installation model that would help enterprises get maximum output from the 6 Sigma program. The suggested model is named as Sequential Model(SM). The SM consists of three stages: the preparation stage, the acceptance stage, and the maturity stage. The model is based on the assumption that organizations should follow three stages sequentially to yield the desired output effectively, The preparation stage is further defined including the organizational change factor, the driving system factor, and the promotion factor. The result variable, the organizational performance, is also further defined including the market competitiveness, the employees competitiveness, and the financial performance. The Structural Equation Model was used to test the validity of the Sequential Model(SM). Several alternatives models were developed and compared. The test results consistently show that the suggested model is a valid one and proves its superiority over alternative models. Through this empirical research, we have shown that the strategies of enterprises in line with the proposed model gained better results over others. The research results would be useful information for enterprises that consider formulation of installation strategy of 6 Sigma program.

• Journal of Environmental Health Sciences
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• v.47 no.6
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• pp.548-557
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• 2021

Background: Due to the emergence of new diseases such as COVID-19, an increasing number of people are struggling with stress and depression. Interest is growing in forest-based recreation for physical and mental relief. Objectives: A prediction model equation using meteorological factors and data was developed to predict the quantities of medicinal substances generated in forests (monoterpenes) in real-time. Methods: The concentration of phytoncide and meteorological factors in the forests near Chuncheon in South Korea were measured for nearly two years. Meteorological factors affecting the observation data were acquired through a multiple regression analysis. A model equation was developed by applying a linear regression equation with the main factors. Results: The linear regression analysis revealed a high explanatory power for the coefficients of determination of temperature and humidity in the coniferous forest (R²=0.7028 and R²=0.5859). With a temperature increase of 1℃, the phytoncide concentration increased by 31.7 ng/Sm³. A humidity increase of 1% led to an increase in the coniferous forest by 21.9 ng/Sm³. In the deciduous forest, the coefficients of determination of temperature and humidity had approximately 60% explanatory power (R²=0.6611 and R²=0.5893). A temperature increase of 1℃ led to an increase of approximately 9.6 ng/Sm³, and 1% humidity resulted in a change of approximately 6.9 ng/Sm³. A prediction model equation was suggested based on such meteorological factors and related equations that showed a 30% error with statistical verification. Conclusions: Follow-up research is required to reduce the prediction error. In addition, phytoncide data for each region can be acquired by applying actual regional phytoncide data and the prediction technique proposed in this study.

• Physical Therapy Korea
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• v.19 no.2
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• pp.20-28
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• 2012

The lumbar multifidus muscle, which can be separated into deep fascicles (DM) and superficial fascicles (SM), is important for lumbar segmental stability. However, no previous studies have investigated the effect of lumbar stabilization exercises on the thickness of DM and SM. Thus, the purpose of this study was to assess DM thickness after three different lumbar segmental stabilization exercises. In total, 30 healthy male participants were recruited and randomly assigned to one of three exercise groups: hollowing in the quadruped position (H-Quad), contralateral arm and leg lift (CALL), and bilateral arm and leg lift (BALL). Each lumbar segmental stabilization exercise was conducted over 4 weeks. Ultrasonography was used to compare the DM and SM thickness before and after the 4 weeks of exercise. A mixed-model analysis of variance using Scheffe's post-hoc test was used for statistical analysis. The results showed a significant effect for the measurement time (before vs. after 4 weeks of exercise) in the DM (F=31.26, p<.05) and SM (F=4.56, p<.05). At the end of the 4 weeks, the DM thickness had increased significantly in the H-Quad exercise group, and the SM thickness had increased significantly in the CALL and BALL exercise groups. Also in the BALL exercise group, the SM thickness was greater compared with that in the H-Quad exercise group. These findings suggest that the thickness of the DM and SM were increased by different types of lumbar segmental stability exercise after 4 weeks.

• 연구논문집
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• s.34
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• pp.59-68
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• 2004

The hot spot stress approach and the notch strain approach are discussed with some results of them. And a stress model that can be applicable to several types of weld joints with single S-N curve of the base material. The stress model uses the geometric characteristics of the stress distribution vicinity of weld joints. The model was applied to five different weld joins(the base material is SM490B). By the representative stress, the experimental fatigue data are plotted very closely to the S-N curve of the base material.

• Journal of the Korean Geotechnical Society
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• v.18 no.2
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• pp.123-136
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• 2002

The infiltration of prolonged rainfall causes shallow slope failures on surficial slopes. Experiments performed on soil-water characteristic curves in weathered soils of three different types(SW, SP, SM) were used to construct a general equation for the soil-water characteristic curve. Based on this, the saturated depth by Green & Ampt model was compared with the results of numerical analyses and the range of application of Green & Ampt model was evaluated. It was found that the saturated depth occurred by infiltration on the surface of slopes has an inf1uence on the surficial stability of slopes md, the stability analysis of unsaturated soils calculated by using the soil-water characteristic curve of weathered soils was found to be a proper analysis for shallow slope failures due to rainfall.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.513-521
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• 2020

In this paper, we have developed a Fama - French five factor model (FF5 model) from Fama & French (2015) by using concept of time-varying coefficient. For a data set, we have used monthly data form Kenneth R. French home page, it include Japan portfolios (classified by using size and book-to-market) and 5 factors from July 1990 to April 2020. The first analysis, we used Augmented Dickey-Fuller test (ADF test) for the stationary test, from the result, all Japan portfolios and 5 factors are stationary. Next analysis, we estimated a coefficient of Fama - French five factor model by using a generalized additive model with a thin-plate spline to create the time-varying coefficient Fama - French five factor model (TV-FF5 model). The benefit of this study is TV-FF5 model which can capture a different effect at different times of 5 factors but the traditional FF5 model can't do it. From the result, we can show a time-varying coefficient in all factors and in all portfolios, for time-varying coefficients of Rm-Rf, SMB, and HML are significant for all Japan portfolios, time-varying coefficients of RMW are positively significant for SM, and SH portfolio and time-varying coefficients of CMA are significant for SM, SH, and BM portfolio.