• Proceedings of the Korean Society for Quality Management Conference
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• 2010.04a
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• pp.390-401
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• 2010

In this paper, we wish to develop suitable TPM Model (C-TPM) in Korea's medium and small enterprises. TPM technique was informed well and there are a lot of success instances but there was problem that is not fitness in medium and small enterprises. In this study, we propose C-TPM model in medium and small enterprises by examining TPM success example variously. This model construction constructed based on medium and small enterprises field supervision and experience, and verification of model is assignment late.

• Journal of Fashion Business
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• v.4 no.1
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• pp.59-72
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• 2000

China adopted a free market economy system and entered into the WTO(World Trad Organization). It has now emerged as one of the most promising markets in the world for the near future. The purpose of this study was to investigate in Chinese and Korea college female students's clothing behavior for fitness and to suggest basic informations for high quality clothing merchandising for China. The subjects in this study were 430 college female students, aged from 18 to 24 living in Beijing(215) and Seoul(215). The survey were taken from June to July, 1999. SAS(Statistical Analysis System) is used for frequency, percentage, average, standard deviation, $x^2$-test. The results of this study are as follows. Examination on the Korean and Chinese preference of clothing behavior showed that Korean and Chinese have different preference for skirt, slacks, jacket and has different sensibility of the items of clothing behavior. The Chinese students prefer individual, feminine costume behavior, and fitted clothes to loose fitted skirt and slacks. Korean student want to lower waist position for all items. It is needed to different merchandising project for clothing in China.

• Journal of the Korean Society of Clothing and Textiles
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• v.33 no.11
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• pp.1683-1695
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• 2009

This study analyzes the production process of eight domestic companies that manufacture scuba diving suits for men with an emphasis on the level of consumer satisfaction in scuba diving suits purchases. One hundred fifty questionnaires were distributed and a total of 140 usable data were coded for further statistical analysis that includes descriptive statistics (frequency and ${\chi}^2$ test) through SPSSWIN 17.0. The results show that a majority of the domestic scuba diving suit companies were either small, manufactured products under original equipment manufacturer (OEM) brands, or were involved in the import business. Many of these companies have developed a local sizing system derived from a company database of customer sizing. As a result, different companies have different sizes that lead to confusion and complication among consumers in selecting the correct size for scuba diving suits. The results indicate that most high-priced diving suits are made of imported fabrics because they had superior quality, fitness, and thickness compared to domestic brands. The degree of consumer satisfaction with scuba diving suits was found to be low in comfort, stuffiness, and activity. Respondents indicated that they felt a little tightness in circumstances such as bust, wrist, and thigh in measurements of circumstances. On the other hand, the respondents showed a high degree of satisfaction with body fitness in scuba diving suits. Further research will clarify a standardized sizing system and develop patterns suitable for Korean men's scuba diving suit body sizes.

• Journal of Fashion Business
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• v.14 no.4
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• pp.161-173
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• 2010

This study aims to examine for efficient production methods of custom-tailored clothing and application of 3D virtual clothing system in custom-tailored clothing market, by producing and analyzing both real clothing and 3D virtual clothing. For this study, a middle-aged woman is selected as the subject figure and one-piece is selected as the experimental clothes item. In real clothing, I conducted the wearing evaluation for experts and the subject figure. And In the virtual clothing, I conducted the wearing evaluation with i-Designer using 3D virtual clothing on simulation program. There are some differences between the data from body scanning and the real body size. In the custom-tailored clothing market in which the fitness is important, the research which measures the more exact data is needed. And in the case of complicate design, the functions which measure the activity and the fitness variously and correct the parts of curves are needed. This study experiments the availability of application of 3D Virtual Clothing System in custom-tailored clothing market by selecting one-piece as the experimental clothes item. So the follow-up studies for the other designs and fabrics are needed. Also, if the studies for checking the clothes pressure, the amount of composure, the space between skin and clothing when the virtual model wearing clothes is walking or shaking his arms are proceeding, then 3D virtual clothing System is applicable in custom-tailored clothing market. But there are some restrictions and lack of education in virtual clothing System yet, and it makes hard for workers in clothing market to use it in real production. However, 3D virtual clothing System will be practical in real market if there would be more research on its usability and practicality, and workers in clothing market can be easily educated on techniques of 3D virtual clothing system.

• Journal of Digital Convergence
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• v.16 no.6
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• pp.85-93
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• 2018

The Latent Growth Modeling(LGM) is known as the arising analysis method of longitudinal data and it could be classified into unconditional model and conditional model. Unconditional model requires estimated value of intercept and slope to complete a model of fitness. However, the existing LGM is in absence of a structured methodology to estimate slope when longitudinal data is neither simple linear function nor the pre-defined function. This study used Sequential Pattern of Association Rule Mining to calculate slope of unconditional model. The applied dataset is 'the Youth Panel 2001-2006' from Korea Employment Information Service. The proposed methodology was able to identify increasing fitness of the model comparing to the existing simple linear function and visualizing process of slope estimation.

• Fashion & Textile Research Journal
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• v.13 no.4
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• pp.582-589
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• 2011

The purpose of this study was to investigate problems of design, fitness, suitability for movement, and comfort in current Korean military tank driver's clothing through analysis of actual wearing condition by questionnaire and field evaluation and. to provide basic data for developing a improved design of Korean military tank driver's clothing. The survey was done for 477 military tank driver and the field evaluation was also done for evaluation. The overall satisfaction for design of military tank driver's clothing(3.25) was higher than that for the easiness in wearing and taking off(2.76). The military tank drivers evaluated that current coverall type of clothing is more suitable than two-piece type of clothing. The overall satisfaction for fitness of clothing was as a whole low(2.82~3.09), Especially, the satisfaction for fitness of from front and back rise length was the lowest one. In the satisfaction for clothing materials, the satisfaction for the breathability of material was the lowest, followed by clothing insulation and air permeability. The satisfaction for movement was low in bending waist and raising forward and aside. The part which surveyors think most dissatisfactory was also front and back rise length. The frequency in use of pocket was the highest in chest pocket, followed by waist and pants pockets. The satisfaction for opening easiness of hips opening part was very low(2.64).

• Journal of Digital Convergence
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• v.10 no.3
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• pp.191-196
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• 2012

The importance of hi-tech communications technology including mobile or ubiquitous system and the related business field is currently expanding. In terms of wellness for enhancing quality of individual life, ICT technology became a requirement, not an option. The first purpose of this study is to identify factors that influence user's perceived usefulness & perceived ease of use related to the acceptance of TAM focused on ubiquitous fitness service through multiple regression analysis, thereby discovering important factors influencing consumer behavior. In conjunction with the result, the second purpose of this study has also its implication on the u-Healthcare system development using QFD. That is, this research is to propose the possibility of combining the external variables of TAM to u-Healthcare system service characteristics with user requirement reflected by using QFD method. Based on these results, the suitable system may be constructed and developed.

• Proceedings of the KSME Conference
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• 2004.11a
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• pp.166-171
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• 2004

Since early 1950's fracture mechanics has brought significant impact on structural integrity assessment in a wide range of industries such as power, transportation, civil and petrochemical industries, especially in nuclear power plant industries. For the last two decades, significant efforts have been devoted in developing defect assessment procedures, from which various fitness-for-purpose or fitness-for-service codes have been developed. From another aspect, recent advances in IT (Information Technologies) bring rapid changes in various engineering fields. IT enables people to share information through network and thus provides concurrent working environment without limitations of working places. For this reason, a network system based on internet or intranet bas been appeared in various fields of business. Evaluating the integrity of structures is one of the most critical issues in nuclear industry. In order to evaluate the integrity of structures, a complicated and collaborative procedure is required including regular in-service inspection, fracture mechanics analysis, etc. And thus, experts in different fields have to cooperate to resolve the integrity problem. In this paper, an internet-based cooperative system for integrity evaluation system which adapts IT into a structural integrity evaluation procedure for reactor pressure vessel is introduced. The proposed system uses Virtual Reality (VR) technique, Virtual Network Computing (VNC) and agent programs. This system is able to support 3-dimensional virtual reality environment and to provide experts to cooperate by accessing related data through internet.

• International Journal of Costume and Fashion
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• v.5 no.1
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• pp.75-89
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• 2005

The purpose of this study is to empirically ascertain how the fitness between marketing strategy each firm chooses and environment facing each firm affects the performance of firms measured by the growth rate of market share and the growth rate of profit/sales ratio. In doing so, firms are divided into three groups. With regard to the marketing strategy, firms are classified into three groups based on marketing strategy type; prospector, analyzer, and defender. The main result of this study are as follows: First, responding firms are classified into prospector, analyzer, and defender following Miles & Snow's marketing strategy types. This classification is made using a self typing method and further confirmed by a factor analysis using a number of variables relating marketing objectives and marketing mix. Second, the results show that there are significant differences across marketing strategies in the performance measures of the growth rate of market share and profit/sales ratio. It seems, however, that there is no straight forward relationship between the marketing strategy and the performance measures. This strongly implies that the type of marketing strategy to be adopted by each firm should depend on the environment facing each firm. Third, the result indicates that the growth rate of market share tends to depend only on the marketing strategy type regardless of sufficiency and variation of environment, but profit/sales ratio tends to depend on the fitness between marketing strategy type and environment. It implies that a firm should adopt different marketing strategies for different environment characteristics, in order to enhance the efficiency of resources used reflected in the profit/sales ratio.

• Korean Journal of Artificial Intelligence
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• v.5 no.1
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• pp.18-28
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• 2017

Recently, there are many companies that use systems based on artificial intelligence. The accuracy of artificial intelligence depends on the amount of learning data and the appropriate algorithm. However, it is not easy to obtain learning data with a large number of entity. Less data set have large generalization errors due to overfitting. In order to minimize this generalization error, this study proposed DGA which can expect relatively high accuracy even though data with a less data set is applied to machine learning based genetic algorithm to deep learning based dropout. The idea of this paper is to determine the active state of the nodes. Using Gradient about loss function, A new fitness function is defined. Proposed Algorithm DGA is supplementing stochastic inconsistency about Dropout. Also DGA solved problem by the complexity of the fitness function and expression range of the model about Genetic Algorithm As a result of experiments using MNIST data proposed algorithm accuracy is 75.3%. Using only Dropout algorithm accuracy is 41.4%. It is shown that DGA is better than using only dropout.