• Journal of Engineering Education Research
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• v.15 no.4
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• pp.21-25
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• 2012

In this paper, the purpose and overview of the "Frontier Leadership Program for Engineering Students through Joint Participation of Higher Education and the Industrial Sector" (FLC: Frontier Leadership Course) in Gunma University is reported together with our achievements during the last three years. The purpose of this special educational program is to promote and educate selected students who are highly motivated to learn science & mathematics and to become an active leader in industrial sectors or research institutes. The activity can be divided into two categories: "Student-Proposed Stream" and "Advanced Research Stream". These activities were found to be useful to cultivate student's leadership and global communication ability. Furthermore, most of the FLC students cultivated the excellent academic performance and five students among them will be allowed to skip their fourth undergraduate year and enter directly into our graduate school.

• Corrosion Science and Technology
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• v.16 no.3
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• pp.109-114
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• 2017

Monitoring of corrosion is in most cases based on simulation of environmental conditions on a large and complex structure such as a buried pipeline using a small probe, and the measurement of thermodynamics and kinetics of corrosion processes occurring on the probe surface. This paper presents a hybrid corrosion monitoring probe designed for simulating deteriorating conditions wrought by disbonded coatings and for measuring current densities and distribution of such densities on a simulated pipeline surface. The concept of the probe was experimentally evaluated using immersion tests under cathodic protection (CP) in high resistivity aqueous solution. Underneath the disbonded area, anodic currents and cathodic currents were carefully measured. Anodic current densities were used to calculate metal loss according to Faraday's law. Calculated corrosion patterns were compared with corrosion damage observed at the surface of the probe after a series of stringent tests. The capability of the probe to measure anodic current densities under CP, without requiring interruption, was demonstrated in high resistivity aqueous solution. The pattern of calculated metal loss correlated well with corrosion products distribution observed at the array surface. Working principles of the probe are explained in terms of electrochemistry.

• Journal of the Korea Safety Management & Science
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• v.22 no.1
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• pp.61-68
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• 2020

The purpose of this study was to measure the job aspiration and examine the relationship between that and job satisfaction for wage-earners using the fourth Korean Working Conditions Survey(KWCS). We use the stochastic frontier model for measuring the job aspiration and testing its effect on the job satisfaction. Fstochastic frontier model is introduced to explain that each company potentially produces less than it might due to a degree of job aspiration, measured by decomposing the residuals. In this model framework, it can be regard that the upper bound of the job satisfaction is the ideal frontier, and the bias between the ideal condition and the reality is the job aspiration. If this concept is applicable to the job aspiration, we can measure this bias and investigate a relationship with the job satisfaction. We find that there exists the job aspiration, and it is significantly negatively correlated with the job satisfaction. This result supports that if job aspiration increases, job satisfaction level decreases.

• Journal of the Korean Operations Research and Management Science Society
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• v.35 no.3
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• pp.59-68
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• 2010

Improving productive efficiency is important for strengthening a competitiveness of coastal fisheries. This paper examines the productive efficiency of a sample of coastal gillnet fishing business units by estimating a stochastic frontier analysis (SFA) and a data envelopment analysis (DEA) approaches and compares those estimates obtained from two approaches. The estimated mean productive efficiency by SFA is 77.6% and the mean productive efficiencies obtained for the VRS and CRS DEA are 75.9% and 45.7%, respectively. The joint use of SFA and DEA for estimating efficiency is also discussed.

• Korean Management Science Review
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• v.19 no.1
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• pp.117-128
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• 2002

In this Paper we investigate the performance of the five efficiency estimation methods which include the stochastic frontier model estimated by maximum likelihood (SFML), the stochastic frontier model estimated by corrected ordinary least squares (SFCOLS), the data envelopment analysis (DIA) model, the combined estimation of SFML and DEA (SFML + DEA), and the combined estimation of SFCOLS arid DIA (SFCOLS+ DEA) using Monte Carlo analysis. The results include: 1) SFML provides most accurate efficiency estimates for the sample sloe 150 or over,2) SFML+DEAor SFCOLS + DIA Perform better for the cases with sample sloe 25, 50, and low random errors, 3) SFCOLS performs better for the close with sample sloe 25, 50, and very high random errors.

• Proceedings of the Korean Society for Applied Microbiology Conference
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• 2005.06a
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• pp.283-284
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• 2005

• 한국초전도학회:학술대회논문집
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• v.15
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• pp.28-28
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• 2005

• Proceedings of the Korean Vacuum Society Conference
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• 2012.02a
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• pp.573-573
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• 2012

High quality $VO_2$ thin films were successfully grown on GaN substrate by optimizing oxygen partial pressure during the growth using RF sputtering technique. The $VO_2$ thin film grown on GaN substrate exhibited an unusual metal insulator transition behavior, which was known to be observed only either in doped sample or under uniaxial stress. Raman spectra also confirmed that metal insulator transition occurred from monoclinic M1 to rutile R phase via monoclinic M2 phase with increasing temperature. We believe that large lattice mismatch between $VO_2$ and GaN substrate may cause M2 phase to be thermodynamically stable. Optical transmittance and its electrical switching behavior were carefully investigated to elucidate the underlying physics of its metal insulator transition behavior. This study may lead to a unique opportunity to better understand the growth mechanism of M2 phase dominant $VO_2$ thin films.

• Proceedings of the Korean Biophysical Society Conference
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• 2003.06a
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• pp.63-63
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• 2003

$\alpha$$_1$-Antityrpsin is a member of the serine protease inhibitor (SERPIN) family that shares a common tertiary structure. The reactive site loop (RSL) of serpins is exposed at one end of the molecule for protease binding. Upon cleavage by a target protease, the RSL is inserted into the major $\beta$-sheet A, which is a necessary process for formation of a tight inhibitory complex. Various biochemical and structural studies suggest that the rate of the RSL insertion upon binding a target protease is critical for inhibitory activity, and it is thought that helix F region (thFs3A and helix F) located in front of $\beta$-sheet A, should be lifted for the loop insertion during complex formation.

• Journal of Korean Academy of Nursing
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• v.42 no.1
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• pp.48-55
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• 2012

Purpose: The aim of this study was to compare statistical methods to control response bias in nursing activity surveys. Methods: Data were collected at a medical unit of a general hospital. The number of nursing activities and consumed activity time were measured using self-report questionnaires. Descriptive statistics were used to identify general characteristics of the units. Average, Z-standardization, gamma regression, finite mixture model, and stochastic frontier model were adopted to estimate true activity time controlling for response bias. Results: The nursing activity time data were highly skewed and had non-normal distributions. Among the 4 different methods, only gamma regression and stochastic frontier model controlled response bias effectively and the estimated total nursing activity time did not exceeded total work time. However, in gamma regression, estimated total nursing activity time was too small to use in real clinical settings. Thus stochastic frontier model was the most appropriate method to control response bias when compared with the other methods. Conclusion: According to these results, we recommend the use of a stochastic frontier model to estimate true nursing activity time when using self-report surveys.