• Journal of the Korea Society of Computer and Information
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• v.27 no.3
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• pp.137-147
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• 2022

Diagnosis and management of skin condition is a very basic and important function in performing its role for workers in the beauty industry and cosmetics industry. For accurate skin condition diagnosis and management, it is necessary to understand the skin condition and needs of customers. In this paper, we developed SCIS, a big data-based skin care information system that supports skin condition diagnosis and management using social media big data for skin condition diagnosis and management. By using the developed system, it is possible to analyze and extract core information for skin condition diagnosis and management based on text information. The skin care information system SCIS developed in this paper consists of big data collection stage, text preprocessing stage, image preprocessing stage, and text word analysis stage. SCIS collected big data necessary for skin diagnosis and management, and extracted key words and topics from text information through simple frequency analysis, relative frequency analysis, co-occurrence analysis, and correlation analysis of key words. In addition, by analyzing the extracted key words and information and performing various visualization processes such as scatter plot, NetworkX, t-SNE, and clustering, it can be used efficiently in diagnosing and managing skin conditions.

• Proceedings of the Korea Information Processing Society Conference
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• 2002.11c
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• pp.1839-1842
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• 2002

최근 각 기업에서는 고객에 대한 중요성을 인식하고 고객에게 개인화된 서비스를 제공하기위한 방법중에 하나인 고객관계관리시스템에 대한 연구와 도입을 활발히 진행하고 있다. 본 논문에서는 고객의 개인화된 서비스를 제공하기 위해 화장품 산업에서의 고객관계관리시스템의 필요성에 대하여 설명하고, 피부분석시스템을 이용한 화장품 산업에서의 고객관계관리시스템 설계방법을 제시하고자 한다. 본 논문에서는 피부분석시스템을 이용한 고객관계관리시스템의 실제 구현사례를 서술하고 화장품 산업에서의 고객관계관리시스템이 나아가야 할 방향을 제시한다.

• 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.

• Journal of Convergence for Information Technology
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• v.9 no.9
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• pp.258-268
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• 2019

The purpose of this study was to investigate the effects of stress factors on fatigue and depression of aesthetician. The subjects of this study were 133 Aesthetician in Busan Metropolitan City. Analysis was done by frequency analysis, t-test, one-way ANOVA and regression analysis. The results of this study are as follows. First, the aesthetician showed an average 2.57 of job stress. Second, the aesthetician showed an average 2.45 of socio-psychological stress. Third, the aesthetician showed an average fatigue(4.16) and depression(1.54). Therefore, in order to reduce the duties and socio-psychological stress of the aesthetician, fatigue and depression are reduced through regularization of the employees, adjustment of legal working hours, and establishment of similar paying system. Finally, it is necessary to lower the turnover rate of the aesthetician and increase the job satisfaction.

• Journal of the Korea Society of Computer and Information
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• v.27 no.9
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• pp.191-203
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• 2022

In this paper, we developed a system that intelligently identifies skin image data from big data collected from social media Instagram and extracts standardized skin sample data for skin condition diagnosis and management. The system proposed in this paper consists of big data collection and analysis stage, skin image analysis stage, training data preparation stage, artificial neural network training stage, and skin image identification stage. In the big data collection and analysis stage, big data is collected from Instagram and image information for skin condition diagnosis and management is stored as an analysis result. In the skin image analysis stage, the evaluation and analysis results of the skin image are obtained using a traditional image processing technique. In the training data preparation stage, the training data were prepared by extracting the skin sample data from the skin image analysis result. And in the artificial neural network training stage, an artificial neural network AnnSampleSkin that intelligently predicts the skin image type using this training data was built up, and the model was completed through training. In the skin image identification step, skin samples are extracted from images collected from social media, and the image type prediction results of the trained artificial neural network AnnSampleSkin are integrated to intelligently identify the final skin image type. The skin image identification method proposed in this paper shows explain high skin image identification accuracy of about 92% or more, and can provide standardized skin sample image big data. The extracted skin sample set is expected to be used as standardized skin image data that is very efficient and useful for diagnosing and managing skin conditions.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.05a
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• pp.1100-1102
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• 2013

현대사회에서는 외모가 내 외적으로 자신을 나타내는 지표이자 상징이며, 사회적 위치나 경제적 상황, 자아정체성을 대변할 수 있다. 또한 경제능력이 향상되고 기존의 성역할 개념의 약화, 사회진출과 인간관계 유지를 위해 남성들도 외모관리에 대한 관심이 높아지기 시작했다. 본 논문은 비교적 화장품에 대한 정보를 잘 알지 못하는 남성들을 대상으로 웹에서 사용자의 나이, 피부톤, 피부타입에 알맞은 화장품을 추천해주는 시스템을 소개한다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.36 no.12B
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• pp.1680-1685
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• 2011

This paper introduces UHF RFID tag antenna which can be inserted between the skin and muscle of animal. Animal Information Management System (AIMS) using the developed tag has been developed. Since the general and commercial tags are not working in the body of any animal, the new tag for flash body has been developed with the consideration of dielectric constant of the muscle and fat of animal. The tag shape is flat and sharp end to make it easy to insert the tag just under the skin. The performance of the installed tag under the skin and in the muscle has been verified. The AIMS can manage the animal, history of illness, information of owner and address. This program can be applied to the management of military and police dogs.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.9
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• pp.1209-1214
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• 2020

With the recent aging age, people's interest in healthy life is increasing. People are causing adult diseases or an increasing number of obese populations due to poor lifestyles, eating habits, and poor physical activity. Accordingly, skin beauty research is being conducted using medical information in the information and communication field. Existing systems have not been able to provide smooth information because they are not expressed in combination with various related measurement items. The system proposed in this paper scans the user's body shape using a 3D scanner and a skin care device, calculates the BMI (Body Mass Index) index using 3D image data, and allows you to view the collected data at a glance. Provide a service system. This will provide the user with the content managed by comparing and providing the continuous body change data. It is expected to be widely used in various U-health and beauty fields.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.11 no.8
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• pp.1456-1464
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• 2007

The research of skin-tone detection has been conducting continuously to enlarge the importance in security, surveillance and administration of the information and 'Password Control System' for using face and skin recognition in airports, harbors and general companies. As well as tile rapid diffusion of the application range in image communications and an electron transaction using wide range of communication network, the importance of the accurate detection of skin color has been augmenting recently. In this paper, it will set up the boundaries of skin colors using the information of Cb and Cr in YCbCr color model of human skin color which is from hundreds compiled portrait images for each race, and suggest a efficient yet simple structure about the skin detection which has been followed by whether the comprehension of the boundaries of skin or not with adaptive skin-range set. With the possibility of the 1D Processes which does not use any memory, it is able to be applied to relatively small-sized hardware and system such as mobile apparatuses. To add the selective mode, it is not only available the improvement of tie skin detection, but also showing the correspondent results about previous face recognition technologies using complicated algorithm.

• The Journal of the Korea institute of electronic communication sciences
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• v.12 no.4
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• pp.715-724
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• 2017

Today all kinds of smart devices are being developed with various researches on wearable devices that support smart computing on the human body. Skin diseases continue to rise including freckles, pimples, atopy, and scalp trouble due to the environmental and genetic factors, and people pay bigger medical bills to treat their skin diseases. There is thus a need to develop a smart-phone or table-based smart healthcare imaging system of high portability and diagnostic accuracy capable of analyzing and managing various skin problems related to skin care. This study proposed an integrated system combining the Smart Mi Band, a wearable device using moisture and UV sensors based on IoT, on the hardware part with the sensor information monitoring software.