• Journal of the Korea Society of Computer and Information
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• v.26 no.1
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• pp.127-133
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• 2021

In this study, an augmented reality-based make-up tool was built to analyze the user's face shape based on face-type reference model data and to provide virtual makeup by providing face-type makeup. To analyze the face shape, first recognize the face from the image captured by the camera, then extract the features of the face contour area and use them as analysis properties. Next, the feature points of the extracted face contour area are normalized to compare with the contour area characteristics of each face reference model data. Face shape is predicted and analyzed using the distance difference between the feature points of the normalized contour area and the feature points of the each face-type reference model data. In augmented reality-based virtual makeup, in the image input from the camera, the face is recognized in real time to extract the features of each area of the face. Through the face-type analysis process, you can check the results of virtual makeup by providing makeup that matches the analyzed face shape. Through the proposed system, We expect cosmetics consumers to check the makeup design that suits them and have a convenient and impact on their decision to purchase cosmetics. It will also help you create an attractive self-image by applying facial makeup to your virtual self.

• Proceedings of the Korea Technical Association of the Pulp and Paper Industry Conference
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• 2001.11a
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• pp.14-14
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• 2001

현재 제지용 펄프 및 펼프 원료의 국내 자급상태는 매우 낮은 수준이다. 따라서 원료 가격변동과 환율에 따라 수익성은 물론, 원료 수급에도 큰 영향을 받게 된다. 최근 버 진펄프의 가격상승은 재생펄프 사용량과 고지수입량을 더욱 늘리고 있으며, 이들의 사 용에 따른 품질저하 개선노력도 꾸준히 행해지고 있다. 그러나 원가절감과 품질유지라 는 두 마리 토끼를 한꺼번에 잡는 것은 그리 쉬운 일이 아니며 그 효과 또한 점점 미 미해 지고 있는 실정이다. 외국의 경우 이러한 문제점들을 펄프소재면에서 접근하여 해 결하고자 하는 시도가 있었다. 중국은 벗짚펄프를 제지용으로 적용하여 오랜 시행착오 끝에 성공을 거두고 있으며, 남미에서도 수수 등을 이용한 제지용 펼프 개발에 노력과 투자를 아끼지 않고 있다. 이는 제한된 원료의 사용만으로 직면하고 있는 여러 문제점 들을 해결하기가 힘들다는 언식에서 출발한 것이며, 새로운 원료개발 자체가 그 해결방 안으로서 충분한 가치가 있음을 보여준다고 하겠다. 이와 같은 맥락에 따라 국내에서 적용이 가능한 소재를 조사하였으며 우선적으로 신서란을 선택하게 되었다. 신서란은 뉴질랜드가 원산지로 알려져 있으며 오래전부터 제주도에 자생하고 있는 다년생 초본류이다. 수많은 경질섬유(hard fiber)중에서도 경제적으로 재배되는 유일한 작물로 선박용 로프, 그물, 범포 등의 원료로 사용되었으나 현재는 화학섬유로 대체되 어 그 사용이 전무한 실정이다. 선서란은 고강도와 우수한 유연성, 탄력성 및 양호한 광학적 성질을 가지고 있으며 무엇보다 척박한 땅에서도 생장이 왕성하여 재배가 쉽다 는 것이 가장 큰 장점이다. 본 연구는 펄프용 섬유로서 양호한 기본특성을 가진 신서란 을 이용한 펄프를 기존 제지공정에 일정량 투입함으로써 얻고자 하는 종이의 일반물성 개선 및 특수기능 향상에 도움이 되는 제지용 펄프로서의 가능성을 알아보고자 하였다.이어서 몇십%의 현을 억제하지는 못한다는 결론을 도출할 수 있었다. 연구의 결과를 요약하면 다음과 같다. 첫째, 한국과 미국 패션제품의 지난 십년간의 가격 과 품질의 상관관계는 매우 약한 정(+)의 상관을 가지고 있었다. 한국패션제품의 전체 서열상관계수의 평균은 0.091이었고, 미국의 상관계수 평균은 0.192였 다. 상관계수의 수치만으로 볼 때 한국보다는 미국 패션제품의 가격과 품질간의 상관관계가 조금 높게 나타났으나, 양국간 통계적인 차이는 없었다. 또한, 한국 패션제품의 경우에는 제품군의 가격대별 상관관계를 살펴보았는데, 그 결과 1만원 미만의 저가 제품군과 330만원이상의 고가의 제품군의 경우 부(-)의 상관계수를 나타냈다. 둘째. 1990년대 한국과 미국 패션시장의 가격과 품질간의 상관계수의 범위는 제품군별. 산업범주별 로 상이한 분포를 보이고 있었다. 패션제품군별로 보 면, 한국의 경우는 가장 높은 '여행용가방(r = 0.707)' 에서 가장 낮은 '자외선 차단화장품(r = -0.58)'까지, 그리고 미국 패션제품군의 상관계수의 범위는 '팬티 스타킹'의 0.820에서 '남성용 런닝슈즈'의 -0.472까지의 분포를 나타냈다. 마지막으로, 제품의 가격과 품질에 대한 정보를 소비자가 알 경우 얻을 수 있는 소비자의 구매이득 을 추산한 결과 패션제품시장에서 완전한 품질정보를 가지고 있다고 가정한 '현명한 사람'은, 최고가격의 제품만을 구입한다고 가정한 '부유한 사람들'의 구입방식에 비해 최고 좋은 품질의 상품을 총 지불액의 비율로 보아, 한국의 소비자는 약 50% 정도를, 미국의 소비자는 약 91%나 되는 액수를 절약하여 구매할 수 있는 것으로 나타났다. 이상의 본 연구의 결과를 종합하여 볼 때 한국과 미국 모두 제품군별, 그리고 산업범주별로 상관관계가 차이를 보이고 있어, 양국의 소비자들이 패션제품 의 품질을 평가함에 있어 오로지 가격에 대한

• Journal of the Economic Geographical Society of Korea
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• v.1 no.2
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• pp.21-42
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• 1998

This paper aims at examining the regional comparison of the business organization of retailing in the Seoul and Taegu metropolitan areas, as an attempt to understand regional structure of retailing within metropolitan areas which represents the suburbanization. On the national level, retail sales have concentrated on larger metropolitan area, the Seoul metroplitan area, the first largest metropolitan area, having higher sales for population scale. While the Taegu metropolitan area, the third largest metropolitan area, appears to lower retail sales for population scale. In order to confirm such phenomenon, this paper is to analyze and to compare the industrial composition of retailing by industry in 1991 of Seoul with that of Taegu. And this paper is to analyze the regional comparison of business organization of retailing: the percents of establishments under four employees, of juridical establishments, of employees of ordinary times, the annual sales per establishment of retailing. And the characteristics of business organization of retailing by industry are analyzed by principal components analysis, and the explanation of the types with component in each district(city, county, ward) is analyzed by cluster analysis(Ward method). The data of 1991 were obtained from the statistics in the Report on Establishment Census(Vol.3 Wholesale and Retail Trade) published by the National Statistics Office. The results are as follows: 1. The composition of retailing by industry in Seoul metropolitan area by annual sales in 1991 is characterized as appeared very higher composition rates of retailing of textiles, clothing, footwear and apparel accessaries', ‘retailing of furniture, home furnishings and equipment’, retailing of jewellery and watches’, ‘retailing of printed matter and stationery’, ‘retailing of personal transport equipment and gasoline service stations’, and ‘general merchandise stores’. But in Taegu metropolitan area, ‘retailing of food, beverages and tobacco’, ‘retailing of drugs, cosmetics and other chemical goods’, 'retailing household fuel’, and ‘genernal retail trade, n.e.c.’appears very high. Therefore Seoul metropolitan area has larger business scale and retailing of shopping goods has developed than Taegu metropolitan area.

• Journal of the Korea Society of Computer and Information
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• v.17 no.6
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• pp.163-172
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• 2012

Collaborative filtering which is used explicit method in a existing recommedation system, can not only reflect exact attributes of item but also still has the problem of sparsity and scalability, though it has been practically used to improve these defects. This paper proposes the personalized recommendation system using RFM method and k-means clustering in u-commerce which is required by real time accessablity and agility. In this paper, using a implicit method which is is not used complicated query processing of the request and the response for rating, it is necessary for us to keep the analysis of RFM method and k-means clustering to be able to reflect attributes of the item in order to find the items with high purchasablity. The proposed makes the task of clustering to apply the variable of featured vector for the customer's information and calculating of the preference by each item category based on purchase history data, is able to recommend the items with efficiency. To estimate the performance, the proposed system is compared with existing system. As a result, it can be improved and evaluated according to the criteria of logicality through the experiment with dataset, collected in a cosmetic internet shopping mall.

• The Korean Journal of Applied Statistics
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• v.36 no.6
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• pp.515-528
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• 2023

With the growth of the e-commerce market, consumers increasingly rely on user reviews to make purchasing decisions. Consequently, researchers are actively conducting studies to effectively analyze these reviews. Among the various methods of sentiment analysis, the aspect-based sentiment analysis approach, which examines user reviews from multiple angles rather than solely relying on simple positive or negative sentiments, is gaining widespread attention. Among the various methodologies for aspect-based sentiment analysis, there is an analysis method using a transformer-based model, which is the latest natural language processing technology. In this paper, we conduct an aspect-based sentiment analysis on multilingual user reviews using two real datasets from the latest natural language processing technology model. Specifically, we use restaurant data from the SemEval 2016 public dataset and multilingual user review data from the cosmetic domain. We compare the performance of transformer-based models for aspect-based sentiment analysis and apply various methodologies to improve their performance. Models using multilingual data are expected to be highly useful in that they can analyze multiple languages in one model without building separate models for each language.

• Journal of Digital Contents Society
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• v.19 no.6
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• pp.1169-1176
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• 2018

This study aims to create a video-commerce website that uses video for Vietnamese consumers. First of all, we completed the persona by conducting understanding questionnaires, in - depth interviews, and analysis of prior research to understand the content interest and understanding of Vietnamese consumers, purpose of website use. Persona results: First, make it easy for Vietnamese and Korean people to interact with each other by creating a contact menu. Secondly, it would be provided various information about K-pop, Korean fashion, Korean makeup(cosmetics), Korean food, Korean travel, Korean, etc., which Vietnamese people are interested in. Third, it makes it easy to purchase the products that are shown in the video that they watch.

• Journal of Digital Convergence
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• v.12 no.1
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• pp.171-176
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• 2014

Due to the recent increase of online shopping mall, there were many changes in consumer lifestyle. and the luxury and foreign cosmetics are well sold in nowadays department store online shopping mall sites. Although not all products are sold through online shopping, consumers tend to purchase more inexpensive brand products through online shopping mall. Thus, department stores tend to sell the brand goods through their online sites In this thesis, First, the trust of shopping mall caused a positive effect to the trust of parent company. Second, the trust of shopping mall had a positive impact on satisfaction. Without satisfying parameters, The trust of parent company did not itself affect satisfaction of shopping mall.

• Fashion & Textile Research Journal
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• v.7 no.6
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• pp.617-623
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• 2005

The purpose of this study was to examine the consumers' purchasing behaviors of budget-priced cosmetics. Questionnaires used for this study were composed of 44 questions including 9 questions about budget-priced cosmetic purchasing behavior, 15 questions about satisfaction, 15 questions about repeat purchasing intention, 1 question about the reason of satisfaction or dissatisfaction, and four questions about demographic variables. Questionnaires were administrated to 317 people who were Daegu & Kyungpook region residents and had shopping experience on budget-priced cosmetics during 2 weeks from March 2005. Respondents' age was limited from 20 to 40. Data were analyzed by using correlation, crosstabulation analysis, and frequency analysis utilizing SPSS/WIN. The results were as follows. Consumers went to budget-priced cosmetics' shops 'for low price', 'for trial' and 'for curiosity'. The best purchased products among the budget-priced cosmetics were basic cosmetics, and the second purchased products were make-up cosmetics. 41.4% of the whole respondents answered that they spent 5,000~10,000won per one time visit, and 65% of those answered they visited once or twice per a year and once per two or three months. In this study a level of satisfaction for the entire products, consumers neither unsatisfied nor fully satisfied. For the question of the intention to repurchase for the budget-priced cosmetics, the respondents answered that they will not positively purchase again. A level of satisfaction and the intention to repurchase had positive correlations. The reason which consumers satisfied with the products was chiefly related to price and that which consumers unsatisfied the products was related to products themselves.

• Fashion & Textile Research Journal
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• v.7 no.6
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• pp.624-632
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• 2005

The purpose of this study was to examine the consumers' purchasing behavior of budget-priced cosmetics according to the shopping orientation. Questionnaires used for this study were composed of 57 questions including 21 questions about cosmetic shopping orientation, 32 questions about budget-priced cosmetic purchasing behavior and four questions about demographic variables. Questionnaires were administrated to 20 to 49 aged 317 women who have shopping experience on budget-priced cosmetics. Data were analyzed by using factor analysis, cluster analysis, ANOVA, ${\chi}^2$-test, correlation, crosstabulation analysis, and scheffe test utilizing SPSS/WIN. The results were as follows. First, shopping orientation of cosmetics were classified into 5 factors: 'interest and impulsive purchasing tendency', 'price-oriented purchasing tendency', 'ration-oriented purchasing tendency', 'famous brand-oriented purchasing tendency' and 'brand royalty- oriented purchasing tendency'. According to the shopping orientation of cosmetics, the respondents were classified into 4 groups: 'passive shopping group', 'rational shopping group', 'active shopping group', 'neutral shopping group'. Second, when comparing each group's purchasing behavior of budget-priced cosmetics with shopping orientation of cosmetics, there was not significant difference in one time purchasing cost and the number of shop visits. In case of demographic variables concerning purchasing behavior of budget-priced cosmetics, there was significant differences in one time purchasing cost according to age, level of education and employment status. The number of shop visits had also difference according to age, level of education and monthly family income. Based on these results, marketing strategies for demographic characteristics of target market rather than the shopping orientation are needed.

• The Research Journal of the Costume Culture
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• v.8 no.5
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• pp.771-784
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• 2000

The purpose of this study was to investigate the casual relationships of self-monitoring, face satisfaction, and demographic variables on the purchasing behavior and use of cosmetics of women. Samples wre 479 women in their 20's to 50's in Seoul, Korea. Three factors of the purchase criteria of cosmetics derived by factor analysis : F.1 'intrinsic trait', F.2 'sales promotion and fashion', F.3 'economy. Women high in self-monitor purchased and used cosmetics more than those low in self-monitor. There were significant relationships between the purchasing behavior and use of cosmetics and age, education, and social stratification. Women in their 20's and 30's perceived purchase criteria associated with intrinsic trait such as color and becomingness as more important, 20's sales promotion and fashion, women with less education perceived economy more than did the others. Upper class women showed more concern for intrinsic trait such as quality and color of cosmetics than did lower class. Social stratification, age, self-monitoring, and education had a direct effect on the degree of cosmetics purchase. Self-monitoring and education had a direct effect on the degree of cosmetics use. Age, education, social stratification, and face satisfaction had an indirect effect on the degree of cosmetics purchase and use. The causal relationship of self-monitoring on the use of coloring cosmetics was stronger than the connection between self-monitoring and total cosmetics. The present findings provide that personal trait associated with self-monitoring of women is important variable in understanding of the purchasing behavior and use of cosmetics.