• KSCI Review
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• v.8 no.2
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• pp.33-42
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• 2001

The purpose of this study was to help retrieve and assess only what learner wants. The multiple-choice and short-answer types were selected. and a sort of a question bank was organized in consideration of the degree of difficulty and frequency of being questioned in such a way to have a discriminating power. For item retrieval the stored information was converted into XML data, instead of simply searching information from database. and that data were retrieved through Xpath. And it's designed to show the retrieval output by using XML on browser. Concerning item evaluation. evaluation items were produced by inputting the degree of difficulty and frequency of being questioned of the subject and unit learner wants. and then by inputting the number of individual item type. The learning outcome was offered in real time to learner. and learner could repeatedly drill what they gave a wrong answer.

• Journal of Navigation and Port Research
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• v.44 no.5
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• pp.400-406
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• 2020

In this study, we first measured the malmquist productivity index by DEA among the Korean public firms. Second, there are 12 public corporations whose productivity (MPI) has decreased compared to 2014. This is mainly because of a decrease in productivity, as well as a decrease in the technical efficiency change index (TECI), impacted by the internal environment, and the increase in productivity because of an increase in the technology change index (TCI) impacted by the external environment. Finally, the analysis of the impact on the management assessment scores showed that the productivity (MPI), scale efficiency (CRS), size of sales, operating profitability, and total capital investment efficiency are significantly related (+), except for the asset turnover, which is a static financial ratio. Meanwhile, the management evaluation scores between the high-productivity public corporations and low-performing public corporations were significantly discriminating. Thus, it is confirmed that the nation's state-run companies must manage their MPIs in a time series to score high in management evaluation.

• Korean Management Science Review
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• v.22 no.1
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• pp.15-26
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• 2005

The bootstrap is a method of computational inference that simulates the creation of new data by resampling from a single data set. We propose a new job for the bootstrap: generating inputs from one historical trace using Threshold Bootstrap. In this regard, the most important quality of bootstrap samples is that they be functionally indistinguishable from independent samples of the same stochastic process. We describe a quantitative measure of difference between two time series, and demonstrate the sensitivity of this measure for discriminating between two data generating processes. Utilizing this distance measure for the task of generating inputs, we show a way of tuning the bootstrap using a single observed trace. This application of the threshold bootstrap will be a powerful tool for Monte Carlo simulation. Monte Carlo simulation analysis relies on built-in input generators. These generators make unrealistic assumptions about independence and marginal distributions. The alternative source of inputs, historical trace data, though realistic by definition, provides only a single input stream for simulation. One benefit of our method would be expanding the number of inputs achieving reality by driving system models with actual historical input series. Another benefit might be the automatic generation of lifelike scenarios for the field of finance.

• Journal of the Korean Society of Clothing and Textiles
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• v.21 no.2
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• pp.442-454
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• 1997

The purpose of this study was 1) to identify the effects of lifestyle activities and decision -making related variables (shopping orientations, use of information sources and importance of store attributes) on the outshopping behavior of female consumers in Seoul and satellite cities, and 2) to investigate the differences in the effects of those variables on the outshopping behavior among 4 clothing categories (formal wear, separates, casual wear, underwear). The data were collected via a questionnaires from 508 adult females of ages over 20's living in Seoul and satellite cities around Seoul and were analyzed by factor analysis and discriminant analysis. The results of this study were as follows: 1) Some of the factors of 4 decision-making related variables significantly discriminated the outshoppers and inshoppers. The most influential factors were attitude toward imported products, time-oriented and price-oriented attitude of shopping orientations. 2) There were significant differences in the effects of 4 variables on outshopping behaviors among 4 clothing categories. More factors were effective in discriminating the outshopping behavior for formal wear or separates purchase.

• The Journal of the Korea Contents Association
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• v.13 no.5
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• pp.1-8
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• 2013

Focused on the fact that sound is one of the important sensory cues delivering situations such as impact, this paper proposes an auditory interaction design approach for virtual environment. Based on a few sampling of basic material sound for various materials such as steel, rubber, and glass, the proposed method enables design transformations of the basic sound by allowing modification of mode gains that characterize natural sound for the material. In real-time virtual environment, it also provides simulation of modified sound according to the change of impact situation's perceptual properties such as colliding objects' size, hardness, contacting area, and speed. The test results on cognition experiment for discriminating objects' materials and impact situation by sound showed the feasibility of proposed auditory interaction design method.

• Journal of Labour Economics
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• v.40 no.4
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• pp.115-158
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• 2017

This paper explores the relationship between working hours and the residual gender wage gap in Korea. Because the labor practice of working long hours in Korea favors men, who tend to spend little time on domestic labor, long working hours can influence the residual gender wage gap by discriminating against women. We analyze this discrimination empirically, and find the following results. First, the returns from working long hours are not high in most occupations in Korea. Second, working hours have a positive effect on the residual gender wage gap in male-dominated occupations, but not in female-dominated ones.

• Bulletin of the Korean Chemical Society
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• v.25 no.5
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• pp.629-633
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• 2004

A new PVC membrane electrode for $UO_2^{2+}$ ion based on 2,2'-[1,2-ethanediyl bis (nitriloethylidene)]bis(1-naphthalene) as a suitable ionophore was prepared. The electrode exhibites a Nernstian response for $UO_2^{2+}$ ion over a wide concentration range ($1.0{\times}10^{-1}-1.0{\times}10^{-7}$M) with a slope of 28.5 ${\pm}$ 0.8 mV/decade. The limit of detection is $7.0{\times}10^{-8}$M. The electrode has a response time of < 20 s and a useful working pH range of 3-4. The proposed membrane sensor shows good discriminating abilities towards $UO_2^{2+}$ ion with regard to several alkali, alkaline earth transition and heavy metal ions. It was successfully used to the recovery of uranyl ion from, tap water and, as an indicator electrode, in potentiometric titration of $UO_2^{2+}$ ion with Piroxycam.

• Bulletin of the Korean Chemical Society
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• v.32 no.12
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• pp.4253-4257
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• 2011

Sodium dodecyl sulfate-capillary gel electrophoresis (SDS-CGE) and capillary isoelectric focusing (CIEF) were employed to characterize and compare ricin E purified from the small grain seeds of Ricinus communis with ricin D isoform. During the purification of ricin E using ion-exchange and size-exclusion chromatography, SDS-CGE was found to be useful for monitoring the efficiencies of purification steps. SDS-CGE showed that the molecular size of ricin E was not significantly different from that of ricin D, which was confirmed by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. CIEF was useful for discriminating ricin E from ricin D based on their isoelectric points (pI). The pI values of ricin E and D were 8.6-8.8 and 7.0-7.4, respectively. This study demonstrates the usefulness of SDS-CGE and CIEF for the characterization of ricin toxins.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.5
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• pp.956-961
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• 2006

Keystroke time intervals can be a discriminating feature in the verification and identification of computer users. This paper presents a comparison result obtained using several classification methods including k-NN (k-Nearest Neighbor), back-propagation neural networks, and Bayesian classification for keystroke identification. Performance of k-NN classification was best with small data samples available per user, while Bayesian classification was the most superior to others with large data samples per user. Thus, for web-based on-line identification of users, it seems to be appropriate to selectively use either k-NN or Bayesian method according to the number of keystroke samples accumulated by each user.

• Journal of Ginseng Research
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• v.38 no.1
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• pp.59-65
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• 2014

Discriminating between two herbal medicines (Panax ginseng and Panax quinquefolius), with similar chemical and physical properties but different therapeutic effects, is a very serious and difficult problem. Differentiation between two processed ginseng genera is even more difficult because the characteristics of their appearance are very similar. An ultraperformance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC-QTOF MS)-based metabolomic technique was applied for the metabolite profiling of 40 processed P. ginseng and processed P. quinquefolius. Currently known biomarkers such as ginsenoside Rf and F11 have been used for the analysis using the UPLC-photodiode array detector. However, this method was not able to fully discriminate between the two processed ginseng genera. Thus, an optimized UPLC-QTOF-based metabolic profiling method was adapted for the analysis and evaluation of two processed ginseng genera. As a result, all known biomarkers were identified by the proposed metabolomics, and additional potential biomarkers were extracted from the huge amounts of global analysis data. Therefore, it is expected that such metabolomics techniques would be widely applied to the ginseng research field.