• Journal of Fashion Business
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• v.8 no.2
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• pp.56-68
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• 2004

Korean fashion industry is not exceptional in terms of positive offense of multinationals and management circumstance of corporations which is changeful momentarily. Accelerated by continuous industry growth and particular policy to promote fashion industry, Korean fashion industry has been inflated quantitatively. In this paper the author presents a effective model which is applicable to the area of outsourcing in Korean men's wear industry incomplete and non-systematic. Studying and analyzing the state of outsourcing in other industries which use advanced outsourcing systems, the author suggests how to customize their advanced systems to men's wear industry. For the successful outsourcing, fashion brands have to recognize the specialized ability of outsourcing companies, go into partnership with them horizontally and concede their own value, not only for cost reduction. On the other hand, outsourcing companies should mediate between two parties, fashion brands and manufacturers, have the ability to create new designs, be able to present merchandises that fashion brands want, invest money in developing creative designs and new products which have good quality, and handle many manufactures specialized in their own areas to play an important role in mediating fashion brand sand manufactures. In this paper, the author tries to study forward direction of specialized outsourcing companies theoretically and is going to apply this theory to men's wear industry to make Korean fashion industry survive in international market successfully.

• Archives of design research
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• v.11 no.1
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• pp.209-218
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• 1998

Information is the most important rather then wealth in the information age. According to propagation of the information by new media, this era is called communication innovation age. And away of thought and life style as well as a society system are changing. Propagation by newspaper and TV as well as new media makes new view on value of consumers, and they recognize propensity to consume as needs from emotion rather than economical value. Changes of thoughts make lots of innovation:from one side, modern design to multi-meanimg design, from consuming of products to consuming of the image, from outer object to inner object, from consuming by mass to consuming individually by fashion. It means the possibilities that a meaning could be interpreted variously. Sign is a configuration for communication with discourse, which is the communication between meaning maker and meaning solver. In this study, various expression of sign in advertising were divided into direct expression and metaphoritical expression which was analysed deeply because it was recoquized as proper expression methed in postmodem design.

• Journal of Information Management
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• v.36 no.2
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• pp.153-172
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• 2005

Currently the copyright law and the online digital contents industry development law aim to protect the producers of databases and digital contents. A report on databases in the United States describes that an additional protection of databases is needed as databases get more significant in terms of science and economy and become a key factor on Internet. At this moment, Korea does not recognize the importance of databases of science and technology when we look into any public or civil organizations. Accordingly this paper deals in depth with overall issues surrounding the regal protection of science and technology databases, key contents for science and technology databases protection by current laws, and additional protection problems. Considering that the industry of science and technology databases plays a pivotal role in the securement of national competitiveness, the preparation of legal measures to properly protect databases as one of the policies for the continuing development of databases should not be overlooked.

• Journal of Korea Society of Industrial Information Systems
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• v.19 no.2
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• pp.85-91
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• 2014

The objective of the research is to automatically recognize railway objects from MLS data in which 9 key objects including terrain, track, bed, vegetation, platform, barrier, posts, attachments, powerlines are targeted. The proposed method can be divided into two main sub-steps. First, multi-scale contextual features are extracted to take the advantage of characterizing objects of interest from different geometric levels such as point, line, volumetric and vertical profile. Second, by considering contextual interactions amongst object labels, a contextual classifier is utilized to make a prediction with local coherence. In here, the Conditional Random Field (CRF) is used to incorporate the object context. By maximizing the object label agreement in the local neighborhood, CRF model could compensate the local inconsistency prediction resulting from other local classifiers. The performance of proposed method was evaluated based on the analysis of commission and omission error and shows promising results for the practical use.

• 한국정보컨버전스학회:학술대회논문집
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• 2008.06a
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• pp.135-140
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• 2008

Recently in the Mongolian wireless marketplace, many E-commerce companies have been making considerable investments in the technological development of M-commerce, taking competitive advantage of new business possibilities offered by Internet-based wireless technologies. In the Mongolian wireless marketplace, this new mobile environment opens the door for new and exciting market opportunities in mobile services and applications. In the near future, these companies will be looking toward M-commerce services as a supplemental source of revenue in the mobile marketplace. This paper examines the roles of M-commerce in the consumers' in order to promote the consumers' loyalty in the booming M-commerce. This paper contains theory that focuses on the basic concepts of the M-commerce environment, its wireless network technologies, and its applications infrastructure. Upon searching for references to assist us in establishing a market hypothesis, we discovered that few comprehensive studies on consumer perspective and behavior related to M-commerce services actually exist in the literature. In the area of M-commerce, many companies neglect the consumer perspective, concentrating only on technological factors only when formulating their market strategies. And, due to technological blindness, many companies were not able to succeed in end-user E-commerce services. Given that fact, this paper formulates a consumer-centric research model. In order to prove the research model, we chose the survey method which allows for the collection of large amounts of data from a sizeable population in a highly economical way. Through the survey, this paper defines consumer's attitudes towards M-commerce services by identifying potential Business-to-Commerce(B2C) applications and its primary target groups in terms of gender and age, and by investigating whether consumers recognize the value proposition of M-commerce applications and services. As shown in the data analysis and results, this research concludes that M-commerce development in Mongolia is still at its infancy, and that the implementation of M-commerce depends not only on technological progress, but also on consumer attitudes and their willingness to adopt M-commerce services. As well, other complex cross-cultural factors-socially, economically, culturally, et cetera-enter strongly into the equation.

• Journal of the Korean Home Economics Association
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• v.43 no.5 s.207
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• pp.199-219
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• 2005

The purpose of this study was to investigate the prevalence and to identify the related factors of overweight among young children. The study subjects were 138 children, aged 3-5, attending child care centers in the Kyungbuk area. We assessed a wide range of collected variables including general characteristics, anthropometric data, dietary habits, stress, food preferences, and food frequencies of young children, and anthropometric data and general characteristics of their parents. The results of this study were analyzed with $\chi$$^{2}$_ or t-test using SPSS package program. The subjects were classified into two groups using the weight for length index WLI criteria: normal group(n=101) and overweight group(n=37). Forty-nine percent of mothers of overweight children did not recognize their child's current overweight status. Scores for encountering criticized-violent situation stress, hurt-pride stress and total stress were higher in the overweight group than in the normal group. The frequency of snacking and the appetite of the overweight group were increased compared to those of the normal group. The overweight group had higher preferences for salad, kimbab, boiled rice with meat, vegetables and Chinese noodles, chicken, shell, banana, soybean milk, hotdog, and potato than the normal group. The overweight group showed higher consumption frequencies of pan-fried foods, egg, laver and strawbery compared to the normal group. Therefore, our results suggest that obese young children, as well as their parents, need more nutritional counseling education about dietary habits, food preference, recognition of normal weight and strategies for actively coping with stresstopreventandtreatobesityandtomaintainhealth. .

• Journal of the Korean Geotechnical Society
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• v.18 no.3
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• pp.113-125
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• 2002

Although there are several empirical and semi-empirical formulae available for predicting ground surface settlement, most of them do not simultaneously take into consideration all the relevant factors, resulting in inaccurate predictions. In this study, an artificial neural network (ANN) is incorporated with 113 of monitored field results to predict surface settlement for a tunnel site with prescribed conditions. To achieve this, a format for a database of monitored field data is first proposed and then used for sorting out a variety of monitored data sets available in Korea Institute of Construction Technology. An optimal neural network model is suggested through preliminary parametric studies and introduces a concept of RSE (Yang and Zhang, 1997) in sensitivity analysis for various major factors affecting the surface settlement in tunnelling. It is seen in some examples that the RSE rationally enables to recognize the most significant factors of all the contributing factors. Two verification examples are undertaken with the trained ANN using the database created in this study. It is shown from the examples that the ANN has adequately recognized the characteristics of the monitored data sets retaining a generality fur further prediction.

• Journal of the Korea Society of Computer and Information
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• v.17 no.3
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• pp.143-155
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• 2012

This study explored the essential meanings of experiences that married immigrant women living in rural communities have in their community participation process and analyzed the situations and types of their community participation in order to support immigration women's community participation and develop strategies for social welfare by type of community participation. For these purpose, we analyzed story outlines, meanings, types and situations of community participation among married immigrant women who had been over 5 years since their immigration. According to the results of this study, the meaning of married immigrant women's community participation was "Recognize myself as the pioneer of my life and participate in social activities continuously." In the results of analyzing the types of participation, the subjects were classified into 'self directed growth type,' 'self content type,' and 'social support expectation type.' The results of this study are expected to be helpful to understand the life of married immigrant women in rural areas not as 'individuals' otherized in a foreign country but as 'participants' of community that are encountered naturally in daily life, and to develop community level services suitable for such women.

• Journal of Digital Contents Society
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• v.18 no.4
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• pp.777-785
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• 2017

In the modern real world, we can extract and recognize some texts to get a lot of information from the scene containing them, so the techniques for extracting and recognizing text areas from a scene are constantly evolving. They can be largely divided into texture-based method, connected component method, and mixture of both. Texture-based method finds and extracts text based on the fact that text and others have different values such as image color and brightness. Connected component method is determined by using the geometrical properties after making similar pixels adjacent to each pixel to the connection element. In this paper, we propose a method to adaptively change to improve the accuracy of text region extraction, detect and correct the slope of the image using edge and image segmentation. The method only extracts the exact area containing the text by correcting the slope of the image, so that the extracting rate is 15% more accurate than MSER and 10% more accurate than EEMSER.

• Journal of the Korea Society of Computer and Information
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• v.11 no.5 s.43
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• pp.95-103
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• 2006

In this paper, the input pattern vectors are extracted and the learning algorithms is designed to recognize EEG pattern vectors. The frequency and amplitude of alpha rhythms and beta rhythms are used to compose the input pattern vectors. And the algorithm for EEG pattern recognition is used SOM to learn initial reference vectors and out-star learning algorithm to determine the class of the output neurons of the subclass layer. The weights of the proposed algorithm which is between the input layer and the subclass layer can be learned to determine initial reference vectors by using SOM algorithm and to learn reference vectors by using LVQ algorithm, and pattern vectors is classified into subclasses by neurons which is being in the subclass layer, and the weights between subclass layer and output layer is learned to classify the classified subclass, which is enclosed a class. To classify the pattern vectors of EEG, the proposed algorithm is simulated with ones of the conventional LVQ, and it was a confirmation that the proposed learning method is more successful classification than the conventional LVQ.