• Journal of the Korean Society of Clothing and Textiles
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• v.20 no.6
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• pp.947-961
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• 1996

The study is about the grading methods for the apparel CAD systems. So far the shift grading is used mostly in the industry. But the split grading has its advantage such as less data Input which is required for grading. So the research is aimed to prove that the split grading is not accurate than the shift grading and more efficient in speed, and to give the guidance of the split grading so that the split grading method can be applied in future apparel CAD systems more often. The results of the research were: 1. Split yarding produced graded patterns as accurate as shift grading. Yet split grading was more efficient and convenient because it required less data input than shift grading. 2. The 10 grading charts were grouped into 3 groups by the bust girth intervals, 3 cm grading, 4 cm grading and 5cm grading. 3. The grading areas were varied depending on the grament designs, gradre's skill and the grading intervals. 4. Guidance for the split grading was suggested.

• Journal of Korean Academy of Nursing
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• v.29 no.2
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• pp.393-404
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• 1999

Socialization is the process of moving from one social role to another by gaining knowledge, skills and behaviors to participate in a group. Nurses who graduate from nursing school, enter the work force, and develop a career undergo socialization as they become insiders in the hospital. This study was designed to identify experiences of the nurses' socialization process in the hospital setting. The subjects were 6 nurses. Data were collected by recording and transcribing interviews and analyzed in the framework of grounded theory as mapped out by Strauss and Corbin(1990). The core category in the analysis of the experiences of nurses' socialization process was “being beyond”. In the process of data analysis, 22 categories were identified. These categories were again grouped into 13. Based upon these results, it is recommended that development of resocialization models to establish nursing identity are necessary.

• The Research Journal of the Costume Culture
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• v.7 no.3
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• pp.58-71
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• 1999

The purposes of this study were to investigate the differences inbrand identification ability, opinions on purchasing imported casual wears and purchase behaviors among the high school students grouped by the attitudes toward imported casula wears. Data were obtained from 452 high school students in Seoul by using self-administered questionnaires. Chi-Square Analysis and ANOVA by SAS statistical package were used for data analysis. The subject with favorable toward imported casual wears suggested higher price levels as appropriate price levels of jeans, were more positive about purchasing imported causal wears than the less favorable. Those with more favorable attitudes tended to purchase at individual stores and to have more experiences in purchasing imported brands, spent higher amount of monthly clothing expenditures, searched information mostly through the conversation with peers, and indicated design as the most important evaluative criteria used when purchase clothing. Most of the high school students relied on their parents as the sources of allowances to purchased clothing.

• Journal of the Korean Society of Safety
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• v.17 no.2
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• pp.22-31
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• 2002

In present study, the deformation analysis and automotive body repair were analyzed with respect to collision types by case studies. As a result, lots of data for the automobile frame deformation caused by collision were collected and analyzed according to collision types. It was shown from the result that the frame deformation patterns were able to be roughly grouped by collision positions of vehicles. Repair plans of deformed frames could be carried on the measured data. It was shown that the deformed vehicle frames were sufficienty repaired to be normal in driving characteristics from the performance test of repaired vehicles.

• Proceedings of the KIEE Conference
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• 2005.07d
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• pp.2921-2923
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• 2005

This paper presents to generate 3D building model using estimation of rooftop surface after 3D line segment extraction using hybrid stereo matching techniques in terms of the co-operation of area-based stereo and feature-based stereo. we first performed a junction extraction from 3D line segment data which was obtained by stereo images, and finally generated building's reliable rooftop surface model using LSE(Least Square Error) method after creating surfaces by grouped and fixed junction points. we generated synthetic images for experimentation by photo-realistic simulation on Avenches data set of Ascona aerial images.

• Journal of the Korea Society for Simulation
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• v.5 no.2
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• pp.59-72
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• 1996

The purpose of this study is to make an improvement to the batch-means method, which is a procedure to construct a confidence interval(c.i.) for the steady-state process mean of a stationary simulation output process. In the batch-means method, the data in the output process are grouped into batches. The sequence of means of the data included in individual batches is called a batch-menas process and can be treated as an independently and identically distributed set of variables if each batch includes sufficiently large number of observations. The traditional batch-means method, therefore, uses a batch size as large as possible in order to. destroy the autocovariance remaining in the batch-means process. The c.i. prodedure developed and empirically tested in this study uses a small batch size which can be well fitted by a simple ARMA model, and then utilizes the dependence structure in the fitted model to correct for bias in the variance estimator of the sample mean.

• Proceedings of the IEEK Conference
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• 2008.06a
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• pp.725-726
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• 2008

In this paper, we introduce an ubiWarehouse system for the management of automobile parts. Because automotive parts are very various in kinds according to companies, models and manufacture year, it's hard to find exactly the desired parts and to control goods in stock. To solve this problem, we propose the model of context recognizer in which context data are expressed in a systematic type of 5W1H. And initial context data are grouped and integrated, and some conflict context information is solved. Finally user's intention is interpreted and served. As a result, the proposed system can be used to enhance conveniency and correctness of the management of various kinds of part's.

• Communications for Statistical Applications and Methods
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• v.13 no.1
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• pp.11-17
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• 2006

The spacing of inspection times in intermittent inspection is of great interest, and several ways for the determination of inspection times have been proposed. In most inspection schemes including equally spaced inspection and optimally spaced inspection, the best inspection times in each inspection scheme depend on the unknown parameter, and we need an initial guess of the unknown parameter for practical use. Thus it is evident that the efficiency of the resulting inspection scheme highly depends on the choice of the initial value. However, since we can obtain some information about the unknown parameter at each inspection, we may use the accumulated information and adjust the next inspection time. In this paper, we study this sequential determination of the inspection times in optimally spaced inspection.

• Journal of Fashion Business
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• v.12 no.6
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• pp.34-45
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• 2008

This research was designed to find decision factors through color assortment planning process by Korean women's clothing merchandisers and to look for if there exists difference with American women's clothing merchandisers. A merchandise assortment is a collection of various quantities of styles, colors, sizes, and prices of related merchandise, usually grouped under one classification within a department. The subjects were 20 women's clothing merchandisers who work for clothing retail stores from 5 to 22 years in US and Korea. The authoring process was done for qualitative data analysis. The decision factors of color assortment planning were identified with four stages; information search, qualitative evaluation, quantitative evaluation, and selection. There were differences of color assortment decision factors due to different business types, business sizes, fashion-ability, sourcing ways, and merchandise turnover. Noticeable color assortment decision factor differences caused by country difference were not found except considering the target market ethnicity and skin color in US market. Korea merchandisers seem to be more sensitive to present sales data usages and spot order availability in color assortments because of more local production use than American merchandisers.

• Journal of Digital Convergence
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• v.7 no.3
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• pp.93-102
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• 2009

Recently, concerns regarding ubiquitous health have been on the increase according to development of ubiquitous technology and growth of health industry. This study suggested a necessity for market segmentation for the creation of new markets of ubiquitous health business under this background. This paper also analyzed possibile health service industry with characteristics of customers by making an analysis of market segmentation. It was grouped into 4 parts by factor analysis and cluster analysis with raw data collected, the results showed that they would be main potential ubiquitous health service industry. However, some are not significant in statistics, which means that since ubiquitous health industry has not yet been experienced, it probably shows uncertainty about its favour. Finally, the study suggested that a future study should build up more detailed market segmentation data with continuous supplementation.