• Journal of the Korea Academia-Industrial cooperation Society
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• v.7 no.1
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• pp.39-45
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• 2006

본 연구는 웹기반 3차원 패션몰 구축에서 의류에 대한 정보를 보다 세부적이고 전문적인 정보로 제공하기 위하여 의상 정보를 2차원 재단 패턴의 피스(piece) 정보로 구분한다. 구분된 피스는 의상에 따라 상하종속관계에 해당하는 피스정보별 상세정보를 가중치에 따라 검색하여 SVG(Scalable Vector Graphics) 파일 형태로 제공하도록 설계하였다. 이러한 의상 상세정보를 통해 디자이너가 의상구조의 다양한 조합으로 새로운 제품 디자인이 용이해지고 유사한 형태의 의상 표현이 가능해진다. 이를 통해 패션몰 상품에 대한 전문가적인 의상 분석도 가능해진다. 또한 SVG 형식의 파일을 이용하기 때문에 부하가 많은 쇼핑몰의 정보 표현에도 용이하다. 이를 위해 구축된 정보는 XML로 표준화 할 수 있도록 DTD(Document Type Definition)를 정의하여 검색 시스템을 설계하였다.

• Journal of the Korean Home Economics Association
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• v.46 no.2
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• pp.51-58
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• 2008

The purpose of this study was to analyze how the appreciation or recognition of quick response systems, with the utilization of technology, can improve operations for businesses in the DongDaeMoon fashion market. A survey was conducted from April 25 to May 10 in 2007, among owners and designers of wholesale shops in the DongDaeMoon fashion market. Data was collected from 270 subjects, and general descriptive and comparative statistical analysis was applied to acquire various parameters. Firstly, the product types within the DongDaeMoon fashion market were small and medium quantity batch production systems. The majority of businesses adopted the production strategy of outsourcing through subcontracted factories. To re-order, a fashion merchandising required 2 to 3 days. Secondly, the design sources of fashion merchandises were national fashion brands, popular items within the same industries, and also fashion magazines. New products was made within 4 days after a sample item was received. Business acquaintances were fashion retail shops of DongDaeMoon, and internet or home shopping companies. Thirdly, the recognition of importance and effects of quick response systems was difference between high and low group of the utilization of technology in the DongDaeMoon fashion market.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1997.10a
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• pp.424-428
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• 1997

본 논문에서는 사용자가 원하는 분위기의 칼라패턴을 추천하여 주는 칼라패턴 데이터 베이스 시스템을 제안하였다. 사용자가 원하는 분위기는 감각언어로 나타낼 수 있는데, 이 감각 언어를 이용한 9가지 심리적 척도의 감성 질의의 형태로 시스템에 입력되며 시스템은 입력된 질의와 칼라패턴의 감성 속성을 비교하여 사용자가 원하는 분위기의 칼라패턴을 추천한다. 이를 위하여 감각 언어의 9가지 실리적 척도에 대한 칼라패텬의 9가지으 감성 속성을 신경회로망을 이용하여 추출하였다. 칼라패턴 데이터 베이스 시스템은 패션 및 상품 디자인, 화랑의 회화 등의 데이터 베이스에서 소비자들의 요구에 좀 더 빠르게 접근하는 해결책을 제공해 줄 수 있을 것이다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.363-364
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• 2021

Search technology is applied to various applications using artificial intelligence technology. It is used in many ways, from identifying customer preferences to personalized recommendation systems. The purpose of this study is to develop a system for detecting adult males mainly in children's living spaces. This will prevent dangerous situations of adult intruders in advance and can be used for outsider control system. In order to develop such a system, information about clothes is used, and adult detection system is developed using various factors such as color, pattern, fashion style, and size of clothes.

• Journal of Intelligence and Information Systems
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• v.16 no.3
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• pp.163-179
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• 2010

Recentlythe concept of fast fashion is drawing attention as customer needs are diversified and supply lead time is getting shorter in fashion industry. It is emphasized as one of the critical success factors in the fashion industry how quickly and efficiently to satisfy the customer needs as the competition has intensified. Because the fast fashion is inherently susceptible to trend, it is very important for fashion retailers to make quick decisions regarding items to launch, quantity based on demand prediction, and the time to respond. Also the planning decisions must be executed through the business processes of procurement, production, and logistics in real time. In order to adapt to this trend, the fashion industry urgently needs supports from intelligent quick response(QR) system. However, the traditional functions of QR systems have not been able to completely satisfy such demands of the fast fashion industry. This paper proposes an intelligent quick response system for the fast fashion(IQRS-FF). Presented are models for QR process, QR principles and execution, and QR quantity and timing computation. IQRS-FF models support the decision makers by providing useful information with automated and rule-based algorithms. If the predefined conditions of a rule are satisfied, the actions defined in the rule are automatically taken or informed to the decision makers. In IQRS-FF, QRdecisions are made in two stages: pre-season and in-season. In pre-season, firstly master demand prediction is performed based on the macro level analysis such as local and global economy, fashion trends and competitors. The prediction proceeds to the master production and procurement planning. Checking availability and delivery of materials for production, decision makers must make reservations or request procurements. For the outsourcing materials, they must check the availability and capacity of partners. By the master plans, the performance of the QR during the in-season is greatly enhanced and the decision to select the QR items is made fully considering the availability of materials in warehouse as well as partners' capacity. During in-season, the decision makers must find the right time to QR as the actual sales occur in stores. Then they are to decide items to QRbased not only on the qualitative criteria such as opinions from sales persons but also on the quantitative criteria such as sales volume, the recent sales trend, inventory level, the remaining period, the forecast for the remaining period, and competitors' performance. To calculate QR quantity in IQRS-FF, two calculation methods are designed: QR Index based calculation and attribute similarity based calculation using demographic cluster. In the early period of a new season, the attribute similarity based QR amount calculation is better used because there are not enough historical sales data. By analyzing sales trends of the categories or items that have similar attributes, QR quantity can be computed. On the other hand, in case of having enough information to analyze the sales trends or forecasting, the QR Index based calculation method can be used. Having defined the models for decision making for QR, we design KPIs(Key Performance Indicators) to test the reliability of the models in critical decision makings: the difference of sales volumebetween QR items and non-QR items; the accuracy rate of QR the lead-time spent on QR decision-making. To verify the effectiveness and practicality of the proposed models, a case study has been performed for a representative fashion company which recently developed and launched the IQRS-FF. The case study shows that the average sales rateof QR items increased by 15%, the differences in sales rate between QR items and non-QR items increased by 10%, the QR accuracy was 70%, the lead time for QR dramatically decreased from 120 hours to 8 hours.

• Journal of KIISE:Computing Practices and Letters
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• v.10 no.2
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• pp.174-188
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• 2004

In the life environment changed with not only the quality and the price of the products but also the material abundance, it is the most crucial factor for the strategy of product sales to investigate consumer's sensibility and preference degree. In this perspective, it is necessary to design and merchandise the products in cope with each consumer's sensibility and needs as well as its functional aspects. In this paper, we propose the Fashion Design Recommender Agent System (FDRAS-pro) for textile design applying collaborative filtering personalization technique as one of the methods of material development centered on consumer's sensibility and preference. For a collaborative filtering system based on textile, Representative-Attribute Neighborhood is adopted to determine the number or neighbors that will be used for preferences estimation. Pearson's Correlation Coefficient is used to calculate similarity weights among users. We build a database founded on the sensibility adjectives to develop textile designs by extracting the representative sensibility adjectives from users' sensibility and preferences about textile designs. FDRAS-pro recommends textile designs to a customer who has a similar propensity about textile. To investigate the sensibility and emotion according to the effect of design factors, fertile designs were analyzed in terms of 9 design factors, such as, motif source, motif-background ratio, motif variation, motif interpretation, motif arrangement, motif articulation, hue contrast, value contrast, chroma contrast. Finally, we plan to conduct empirical applications to verify the adequacy and the validity of our system.

• Journal of Intelligence and Information Systems
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• v.28 no.4
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• pp.329-346
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• 2022

Recently, as the market for short form videos (Instagram, TikTok, YouTube) on social media has gradually increased, research using them is actively being conducted in the artificial intelligence field. A representative research field is Video to Shop, which detects fashion products in videos and searches for product images. In such a video-based artificial intelligence model, product features are extracted using convolution operations. However, due to the limitation of computational resources, extracting features using all the frames in the video is practically impossible. For this reason, existing studies have improved the model's performance by sampling only a part of the entire frame or developing a sampling method using the subject's characteristics. In the existing Video to Shop study, when sampling frames, some frames are randomly sampled or sampled at even intervals. However, this sampling method degrades the performance of the fashion product search model while sampling noise frames where the product does not exist. Therefore, this paper proposes a sampling method MF (Missing Fashion items on frame) sampler that removes noise frames and improves the performance of the search model. MF sampler has improved the problem of resource limitations by developing a keyframe mechanism. In addition, the performance of the search model is improved through noise frame removal using the noise detection model. As a result of the experiment, it was confirmed that the proposed method improves the model's performance and helps the model training to be effective.

• Journal of the Korean Society of Fashion and Beauty
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• v.4 no.1 s.7
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• pp.60-64
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• 2006

에센셜 오일은 고대로부터 향을 즐기거나 직접 상처 부위에 바르는 등의 다양한 방법으로 사용해 왔다. 일반적으로 에센셜 오일을 얻을 수 있는 허브와 스파이스는 약 200종 정도이며 흔히 주변에서 볼 수 있는 것으로는 레몬이나 오렌지, 장미, 제라늄, 민트 등이 있다. 이들 식물의 꽃잎(장미), 잎사귀(유칼립투스), 뿌리(베티본), 고목(샌달우드), 송진(프랭킨센스), 줄기(버베나), 열매(베르가못) 등 여러 부분에서 독자적인 방법으로 추출할 수 있는 에센셜 오일은 식물의 강한 생명의 힘으로 종종 언급되었다. 이는 방향성, 비지방성의 100% 천연의 식물에서 추출한 물질이며, 저마다의 고유한 향과 각기 다른 독특한 생명력과 치유능력을 가지고 있다. 이러한 에센셜 오일을 사용함에 있어서 우리는 감정 치유와 신체 건강을 향상시킬 수 있다. 모든 에센셜 오일은 항-박테리아, 항-바이러스 또는 항균성을 지니고 있다. 연구 조사에 따르면 아로마(향)는 인간의 감정 센서에 직접적인 영향을 끼치는데 이는 우리 신체의 감각 중심의 뇌에 직접적으로 아로마 향이 투입되기 때문이다. 우리의 후각을 통해 뇌 시스템을 직접 통과하여 감정, 행동, 냄새를 판단하는 것을 총괄하게 된다. 항상 아름다운 냄새를 통해 즐거워 하고 우리의 감정 균형을 유지시키므로 에센셜 오일을 사용함에 있어 그 향기가 우리에게 즐거움을 주는 것은 중요한 일이다. 이 오일을 통해 우리의 감각신경이 균형을 유지하게 될 것이다. 이러한 에센셜 오일을 이용하여 마음의 건강, 정신의 건강, 신체의 건강을 향상시키며 유지할 수 있도록 유지, 관리하는 것이 아로마테라피이다. 아로마테라피는 적게는 담배로부터 향수까지 광범위하게 가장 화려한 글로 설명되어 왔다. 에센셜 오일을 사용함에 있어 우리 신체의 가장 좋은 투입 방법으로 마사지 법이 있으며 우리 피부는 에센셜 오일을 놀라울 만큼 빠르게 흡수해 낸다. 이러한 효능의 에센셜 오일을 피부관리시에 적용하여 신체의 건강뿐만 아니라, 정신의 건강을 향상시키며 유지 할 필요가 있다고 본다.

• Korean System Dynamics Review
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• v.16 no.4
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• pp.103-128
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• 2015

This study investigated dynamic causal relationship between CSR implementation and consumption of environmentally friendly fashion products through systems thinking. Based on literature review and empirical research, we drew causal loop diagram for CSR implementation in environmentally friendly fashion product industry. By analyzing feedback loops, we found that companies and consumers interact in the process of CSR activities. In the process of CSR implementation, companies and consumers are closely related and affect each other as stimuli and prior condition. This study suggests that companies adopt push strategy to actively create demand by developing and promoting environmentally friendly fashion products and that companies communicate with consumers in order to be recognized and rewarded by consumers for their CSR activities. In addition, this study suggests that consumers not only support companies of CSR activities but also actively boycott anti-environmental companies by collective action.

• The Journal of Natural Sciences
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• v.10 no.1
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• pp.209-216
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• 1998

The results of the study of diving the 21st century's Korea fashion market into consumer market, fashion market, and a new marketing strategy are as follows. The 21st consumer market is First, a fashion democracy phenomenon. As many people try to leave unconditional fashion following, consumer show a phenomenon to choose and create their own fashion by subjective judgements. Second, a phenomenon of total fashion pursuit. Consumer in the future are likely to put their goals not in differentiating small item products, but considering various fashion elements based on their individuality and sense of value. Third, world quality-oriented. With the improvement of life level, it accomplishes to emphasize consumers' fashion mind on the world wide popular use of materials, quality, design and brand image. Fourth, with the entrance of neo-rationalism, consumers show increasing trends to emphasize wisdom, solidity in goods strategy pursuing high quality fashion and to demand resonable prices. Fifth, concept-oriented. Consumers are changing into pursuing concept appropriate to individual life scene. Prospecting the composition of the 21st century's fashion market, First, sportive casual zone will draw attention more than any other zone. This is because interest in sports will grow according to the increase of leisure time and the expasion of time and space in the 21st century, and also ecology will become the important issue of sports sense because of human beings's natural habit toward nature. Second, the down aging phenomenon will accelerate its speed as a big trend. Third, a retro phenomenon, a concept contrary to digital and high-tech, will become another big trend for its remake, antique, and classic concept in fashion market with ecology trend. New marketing strategy to cope with changing fashion market is as follows. First, with the trend of borderless concept, borders between apparels are becoming vague, for example, they offer custom-made products to consumers. Second, as more enterprises take the way of gorilla and guerrilla where guerrillas who aim at niche market show up will develop. Basically, they think highly of individual creative study, and pursue the scene adherence with high sensitiveness. However this polarization becomes mutually-supplementing relationship showing gorilla's guerilla movement, and guerilla's gorilla high-tech. Third with the development of value retailing, enterprises pursuing mass merchandising of groups called category killers are expanded and amplified to new product fields, and expand business' share. Fourth, using outsourcing, the trend to use exterior function leaving each enterprise's strength by inspecting its own work is gradually strong. Fifth, with the expansion of none store sale, the entrance of the internet and the CD-ROM sales added to communication sales such as catalogues are specified. An eminent American think tank expect that 5-5% of the total sale of clothes and home goods in 2010 will be done by none store sale. Accordingly, to overcome the problems, First international, global level marketing, Second, the improvement of technology, Third, knowledge-creating marketing are needed.