• Title/Summary/Keyword: customized cosmetics

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Development and Application of Skin Age Prediction Model Based on Skin Measurement Data According to Age of 20's to 40's ages of Korean Women (한국 여성의 연령에 따른 피부 측정 데이터 기반 20대 ~ 40대 피부 나이 예측 모형 개발 및 적용)

  • Maeng, Jihye;Nam, Gaewon
    • Journal of the Society of Cosmetic Scientists of Korea
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    • v.48 no.1
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    • pp.25-32
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    • 2022
  • In this study, basic skin characteristics data were collected by measuring skin hydration, skin melanin, skin redness, and skin torsion elasticity from Korean women in from 20's to 40's ages, and then, age and correlation analysis were conducted. This was used to create a skin index, and cluster analysis was performed to classify the groups into 4 clusters, and the skin characteristics of each cluster were confirmed. Then, two prototypes were used for two weeks to confirm the improvement effect on skin moisture, skin redness, and skin dead mass reduction, and then analyzed which product was more effective in which cluster of subjects participated in the skin characteristics test. As a result of the study, the possibility of preparing for the customized cosmetics market was confirmed by applying the skin index and cluster analysis results to product efficacy evaluation.

Customized Recommendation and Information Service for Men Cosmetics (남성 화장품 맞춤 추천 및 정보 제공 서비스)

  • Park, Eun-seo;Lee, Min-ji;Jeong, Min-ji;Bak, Do-yeon;Moon, Yoo-Jin
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2021.01a
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    • pp.353-354
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    • 2021
  • 본 연구에서는 빠르게 발전하는 남성 화장품 시장 트렌드에 맞춰서 남성 고객과 남성 화장품을 타겟으로 하는 기업에 유용한 정보를 제공할 수 있는 데이터베이스 시스템을 구축하고자 한다. 아직까지는 여성에 비해 남성 고객과 남성 화장품에 대한 데이터 분석 및 연구가 현저히 적은 편이다. 본 연구는 남성 고객의 데이터와 빅데이터 자료를 바탕으로 구매율이 높은 상위 10개 제품명과 브랜드명, 소비자가 원하는 가격대의 유명하고 인기있는 제품, 특정 피부고민을 가진 고객이 구매한 제품 중 알레르기 유발 물질이 포함된 제품의 정보와 같은 유용한 정보들을 데이터베이스 시스템을 활용하여 산출해냈다. 이를 통해, 남성 화장품 시장이 앞으로 나아갈 방향에 대해 파악하고 국내 남성 화장품 시장의 발전에도 이바지할 수 있을 것으로 예측된다.

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Design and Implementation of Smart Factory System based on Manufacturing Data for Cosmetic Industry (화장품 제조업을 위한 제조데이터 기반의 스마트팩토리 시스템의 설계 및 구현)

  • Oh, Sewon;Jeong, Jongpil;Park, Jungsoo
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.21 no.1
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    • pp.149-162
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    • 2021
  • This paper established a new smart factory based on manufacturing data for an introductory company focusing on the personalized cosmetics manufacturing industry. We build on an example of a system that collects, manages, and analyzes documents and data that were previously managed by CGMP-based analog for data-driven use. To this end, we have established a system that can collect all data in real time at the production site by introducing artificial intelligence smart factory platform LINK5 MOS and POP system, collecting PLC data, and introducing monitoring system and pin board. It also aims to create a new business cluster space based on this project.

In vitro Screening of Jeju Island Plants for Customerized Cosmetics (맞춤형화장품 소재 개발을 위한 제주 식물 탐색)

  • Yoon, Kyung-Sup;Kim, Mi Jin;Kim, Moo-Han
    • Journal of the Korean Applied Science and Technology
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    • v.35 no.4
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    • pp.1487-1495
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    • 2018
  • In this study, we investigated collagen production and hyaluronic acid production effects for wrinkle improvement test on 50 kinds of land plants and 10 kinds of marine plants native to Jeju Island as a part of developing customized cosmetic materials. Collagen and hyaluronic acid are recognized as major factors affecting skin aging. Cerastium holosteoides var. hallaisanense Mizushima extract ($100{\mu}g/mL$) produced more than 190% of collagen in the extracts of 50 kinds of land plants. Vicia angustifolia var. segetilis K. Koch. extract ($100{\mu}g/mL$) produced more than 160% of collagen. Ftsia japonica Decne. et Planch. extract ($100{\mu}g/mL$), Euonymus japonica Thunb. extract ($100{\mu}g/mL$), Suaeda malacosperma H.Hara extract ($100{\mu}g/mL$), Elaeagnus umbelellata Thunb. extract ($100{\mu}g/mL$), Sedum oryzifolium Makino extract ($100{\mu}g/mL$), Vicia unijuga A. Br. extract ($100{\mu}g/mL$), and Brassica juncea var. integrifolia Sinsk. extract ($100{\mu}g/mL$) showed more than 140% collagen production effect. Among the 10 species of marine plants, Sargassum macrocarpum C. Agardh extract ($50{\mu}g/mL$) produced more than 190% of collagen, and Carpopeltis angusta (Harvey) Okamura extract ($100{\mu}g/mL$), Codiumcoactum Okamura extract ($100{\mu}g/mL$), and Codium tenuifolium S. Shimada, T. Tadano & J. Tanaka extract ($100{\mu}g/mL$) showed more than 140% collagen production. Suaeda malacosperma H.Hara extract ($100{\mu}g/mL$) showed the effect of producing hyaluronic acid more than 140%, and Ftsia japonica Decne. et Planch. extract ($20{\mu}g/mL$) and Wistaria floribunda A.P. DC extract ($100{\mu}g/mL$) showed more than 130% hyalunonic acid production effect. Among the 10 species of marine plants, Peyssonnelia capensis Montagne extract ($100{\mu}g/mL$) was the most effective. Carpopeltis angusta (Harvey) Okamura extract ($100{\mu}g/mL$), Codiumcoactum Okamura extract ($100{\mu}g/mL$), and Codium tenuifolium S. Shimada, T. Tadano & J. Tanaka extract ($100{\mu}g/mL$) showed more than 120% hyalunonic acid production. Jeju resources, which have good collagen and hyaluronic acid production, showed the potential to be applied to solve the skin troubles of customized cosmetics in the future.

Design of Cosmetics Information System for Personal Customized Service (사용자 맞춤형 서비스를 위한 화장품 성분 정보 시스템 설계)

  • Jin, Ik Moon;Park, Da Un;Jo, Yong Gi;Park, Seok-Cheon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2013.11a
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    • pp.585-587
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    • 2013
  • 본 논문에서는 다양한 화장품 회사의 제품들을 사용자들이 자신이 사용하고 있는 화장품의 제조 성분을 실시간으로 사용자가 알 수 있게 하여 구매 시와 사용할 때 효과와 부작용 등을 파악하여 사용자에게 맞는 화장품 정보를 제공하는 맞춤형 화장품 성분 정보시스템을 설계하였다. 본 논문에서 제안하는 시스템을 설계하기 위해 미국의 환경단체에서의 화장품 성분 안전도 정보를 바탕으로 데이터베이스와 SQL에 대해 조사 및 분석하여 사용자 맞춤형 자가 화장품 성분 정보 시스템을 설계 하였다.

Customized Natural Cosmetics Manufacturing Service using Raspberry Pi (라즈베리파이를 이용한 맞춤형 천연화장품 제조 서비스)

  • Kim, Ha-Keyong;Yoo, Sae-Yeon;Yoon, Joo-Hye;Jung, Je-Won
    • Proceedings of the Korea Information Processing Society Conference
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    • 2020.11a
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    • pp.212-215
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    • 2020
  • 커스터마이징 제품에 대한 니즈가 늘어감에 따라 화장품 시장도 맞춤형 화장품에 대한 수요가 증가하고 있다. 하지만 제작 이전의 진단 과정은 제공되지 않아 구매 실패로 이어지는 사례가 많다. 따라서 고객 맞춤 제품을 제작하기에 앞서 전용 진단 기기를 제공하여 셀프 진단 서비스를 구현하고자 한다. 이에 따라 본 논문은 피부 진단 기기를 이용하여 피부를 측정하고, 측정 결과 기반의 피부 분석을 통해 사용자에게 맞는 맞춤형 화장품을 제조하는 기기를 개발하여 서비스를 제공하고자 한다. 본 서비스는 집에서 빠르고 간편하게 본인의 피부를 진단하고 분석된 결과를 참조하여 자신과 가장 적합한 천연화장품을 바로 만들어줌으로써 소비자의 시간·공간적 제약을 없애는 것을 목표로 한다.

A Study on the Improvement Case of Cosmetic Packaging Process Using ARENA Simulation (아레나 시뮬레이션을 활용한 화장품 포장공정의 개선사례 연구)

  • Lee, Nam-Su;Lee, Jae-Yong;Jo, Eun-Hyeon;Lee, Dong-Hyung
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.43 no.2
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    • pp.72-78
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    • 2020
  • Demand for cosmetics with functionality and eco-friendliness has increased dramatically due to recent aging, well-being trends, and increased interest in beauty. Cosmetics production in 2014 was 8,970.4 billion won, an increase of about 50% compared to 6,014.6 billion won in 2010. In the midst of this, similar companies in intense competition are pursuing differentiated strategies and innovation activities to solve quality, price and delivery problems. In particular, cosmetics packaging work is getting more difficult due to the increasing bill of materials (BOM) and difficult assembly methods. Therefore, in this study, the following problems were identified and suggestions for the improvement of the packaging Many research laboratories such as biotechnology, chemistry, and pharmaceuticals, which are undergoing various studies, are equipped with ready-made laboratory safety equipments such as bio-safety workbenches, aseptic bases, and exhaust workbenches. However, most researchers are disadvantaged in using existing safety equipment. This is because existing safety equipment can not take into account all of the unique characteristics of the research. For this reason, researchers are demanding the development of customized safety equipment that is well suited to their research needs. process of Company C, which is facing difficult situation to respond to the customer 's delivery due to the 52 - hour work week. First, we used the stopwatch to find the difficulty process in the packaging process and show ways to improve it. Second, to improve the efficiency of line balancing in the packaging process, we integrate processes, improve work methods, and perform simple automation. As a result, the prepare loss for replacement was reduced by 1 minute from 5 minutes, resulting in a 23% increase in productivity from 112 ea./hour to 137ea./ hour per person. At this time, the LOB of the packaging process was improved from 70% to 82% by operating one more production line through one person per line, total 9 people saving.

Development of an intelligent skin condition diagnosis information system based on social media

  • Kim, Hyung-Hoon;Ohk, Seung-Ho
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.8
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    • pp.241-251
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    • 2022
  • Diagnosis and management of customer's skin condition is an important essential function in the cosmetics and beauty industry. As the social media environment spreads and generalizes to all fields of society, the interaction of questions and answers to various and delicate concerns and requirements regarding the diagnosis and management of skin conditions is being actively dealt with in the social media community. However, since social media information is very diverse and atypical big data, an intelligent skin condition diagnosis system that combines appropriate skin condition information analysis and artificial intelligence technology is necessary. In this paper, we developed the skin condition diagnosis system SCDIS to intelligently diagnose and manage the skin condition of customers by processing the text analysis information of social media into learning data. In SCDIS, an artificial neural network model, AnnTFIDF, that automatically diagnoses skin condition types using artificial neural network technology, a deep learning machine learning method, was built up and used. The performance of the artificial neural network model AnnTFIDF was analyzed using test sample data, and the accuracy of the skin condition type diagnosis prediction value showed a high performance of about 95%. Through the experimental and performance analysis results of this paper, SCDIS can be evaluated as an intelligent tool that can be used efficiently in the skin condition analysis and diagnosis management process in the cosmetic and beauty industry. And this study can be used as a basic research to solve the new technology trend, customized cosmetics manufacturing and consumer-oriented beauty industry technology demand.

An Intelligent Recommendation Service System for Offering Halal Food (IRSH) Based on Dynamic Profiles

  • Lee, Hyun-ho;Lee, Won-jin;Lee, Jae-dong
    • Journal of Korea Multimedia Society
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    • v.22 no.2
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    • pp.260-270
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    • 2019
  • As the growth of developing Islamic countries, Muslims are into the world. The most important thing for Muslims to purchase food, ingredient, cosmetics and other products are whether they were certified as 'Halal'. With the increasing number of Muslim tourists and residents in Korea, Halal restaurants and markets are on the rise. However, the service that provides information on Halal restaurants and markets in Korea is very limited. Especially, the application of recommendation system technology is effective to provide Halal restaurant information to users efficiently. The profiling of Halal restaurant information should be preceded by design of recommendation system, and design of recommendation algorithm is most important part in designing recommendation system. In this paper, an Intelligent Recommendation Service system for offering Halal food (IRSH) based on dynamic profiles was proposed. The proposed system recommend a customized Halal restaurant, and proposed recommendation algorithm uses hybrid filtering which is combined by content-based filtering, collaborative filtering and location-based filtering. The proposed algorithm combines several filtering techniques in order to improve the accuracy of recommendation by complementing the various problems of each filtering. The experiment of performance evaluation for comparing with existed restaurant recommendation system was proceeded, and result that proposed IRSH increase recommendation accuracy using Halal contents was deducted.

Study on the Skin Characteristic and Questionnaire according to Yin Deficiency Syndrome (한방 음허변증에 따른 피부특성 및 설문 분석 연구)

  • Min, Seorim;Myoung, Jooonoh;Kim, Byunghyun;Kim, Taehoon;Hwang, Seung Jin;Lim, Jun-Man;Jin, Mu Hyun
    • Journal of the Society of Cosmetic Scientists of Korea
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    • v.45 no.4
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    • pp.381-388
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    • 2019
  • Recently, the importance of individual skin characteristic is emphasized for customized beauty products. There are many studies on the concept of the syndrome differentiation, related to individual cosmetics in Korean Medicine. However, skin characteristic according to Yin deficiency syndrome (YDS), which is associated with aging, are yet to be clarified. The objective of this study was to evaluate the skin characteristic and questionnaire of female with YDS compare to with non-YDS. 218 healthy females between 40 and 59 years of age were assessed for the skin hydration, elasticity, brightness (L* value), redness (a* value), pore, pigmentation, wrinkle, and sebum by Corneometerr®, Cutometerr®, and Janus lll. Independent t-test showed lower hydration, lower elasticity, and higher redness in the YDS group compared to the non-YDS group (all p < 0.05). There was significant difference on the facial fever, insomnia, decreased amount of urine, and skin sensitive checklist. These results suggested that using the questionnaire associated with YDS and skin characteristic could separate skin types and apply to customized beauty products.