• 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.

• The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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• v.31 no.4
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• pp.83-95
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• 2018

Objectives : This study was conducted to review about a prevention and management of acne Methods : We searched Korean research database by using keyword 'acne' and 'prevention' or 'management'. Korean research databases were Korean Studies Information Service System(KISS), Research Information Service System(RISS), Korean Medicine Information System(OASIS), National Digital Science Library(NDSL) and Jeonju Municipal Library. We classified studies identified by year, method, contents Results : Among 19 studies, 10 studies were articles and 9 studies were books. The proportion of studies published in 1990s was 26.3%, published in 2000s was 46.3%, published in 2010s was 26.3%. We analyzed 19 studies by classifying 4 categories that consist of Diet Management, Skin Management, Life Management, Exercise Management. In Diet Management, intake of fruits and vegetables was highly recommended, and intake of oily foods and high-fat foods was restricted. In Skin Management, thorough skin cleansing was highly recommended and skin contact was restricted. In Life Management, enough sleep and rest were highly recommended, and smoking was restricted. In Exercise Management, some of exercises to promote blood circulation were recommended. Conclusions : Various methods have been used for prevention and management of acne. It is necessary to systematically study the prevention and management of acne.

• 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 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 The Korean Society of Integrative Medicine
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• v.10 no.3
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• pp.73-84
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• 2022

Background : Lymphedema is a progressive disorder characterized by the impairment of lymph flow from tissues to the blood circulation system. This occurs as a result of damage to the lymphatic system. Complex decongestive therapy (CDT) is a multimodal, conservative therapeutic approach that is used for the management of lymphedema. CDT consists of a combination of compression therapy, manual lymphatic drainage, exercise, and skin care. Purpose : This study aimed to provide a review of available physical therapy interventions as well as general care guidelines for patients with lymphedema. Methods : The recommendations and guidelines for physical therapy management, medical management, and general information were reviewed from the following sources: 1) The American Physical Therapy Association, 2) The Norton School of Lymphatic Therapy, and 3) The International Society of Lymphology. This review contains general information, including the medical management and the importance of physical therapy in lymphedema. Physical therapy management should be based on an assessment of the patients' presenting impairments, including based on inclusion or exclusion of physical therapy interventions. This review also outlines a step-by-step approach that starts with disease diagnosis and progression all the way through to rehabilitation as an outpatient. Conclusion : Depending on the patients' journey to recovery and the requirement for rehabilitation, physical therapy interventions should focus on the patients' needs including pain, appearance, physical function and general rehabilitation. We hope that this review will provide information on evidence-based physical therapy and general care to patients with lymphedema.

• Information Systems Review
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• v.23 no.4
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• pp.69-86
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• 2021

As artificial intelligence technology advances, personalized recommendation systems using big data have attracted huge attention. In the case of beauty products, product preferences are clearly divided depending on customers' skin types and sensitivity along with individual tastes, so it is necessary to provide customized recommendation services based on accumulated customer data. Therefore, by employing deep learning methods, this study proposes a neural network-based recommendation model utilizing both product search history and context information such as gender, skin types and skin worries of customers. The results show that our model with context information outperforms collaborative filtering-based recommender system models using customer search history.

• 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.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.22 no.3
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• pp.235-243
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• 2012

Objectives: The purpose of this study is the work environment management method through risk assessment and investigation of the work place that deals with Ammonium nitrate, based on information in and outside the country. Methods: This study suggests method of work environment management through risk assessment and investigation of the work place that deals with Ammonium nitrate, and finds out cases of Ammonium nitrate causing hazard, danger and health risk, based on literature investigation. Results: Rats exposed repeatedly to $LD_{50}$ 2,217 mg/kg(rat), $LC_{50}$ 88.8 mg/L(rat, skin) which cause high level of skin irritation, reported 1 $mg/m^3$ of NOAEL, while LOAEL was less than 100 mg/kg for the rats orally administered with the $LD_{50}$ 2,217 mg/kg(rat), $LC_{50}$ 88.8 mg/L(rat, skin), for 13 weeks. Domestically 31,640 ton/y of ammonium nitrate has been used in 22 workplace and the result of workplace assessment was 0.0171-0.9983 $mg/m^3$. ADD was 8.77-59.63 ${\mu}g/kg-day$ according to the exposure scenario. In other words the result of the risk assessment goes beyond the 'standard 1'. Conclusions: Ammonium nitrate creates a high level of irritation and toxicity when coming in breathe it or contact with skin, and is classified as category3 of GHS and specific target organ toxicant (irritating respiratory system). Exposure level at work places needs to be maintained under $1mg/m^3$, to prevent workers from being damaged.

• Journal of Wellbeing Management and Applied Psychology
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• v.3 no.4
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• pp.11-20
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• 2020

Purposes: This is a study on the perception of safety in use according to cosmetic information. Research design, data and methodology: As a result of analyzing 324 women in their twenties living in the metropolitan area, the following conclusions were drawn. Results: As a result of measuring the awareness of cosmetic information, the awareness of 'cosmetic-related knowledge' (M=3.52) and 'cosmetic performance' (M=3.43) was high, indicating that information on cosmetic knowledge was actively shared with each other. It was understood that the method of use and effect were properly recognized and that the cosmetics were selected. 'Correct cosmetic storage method' is significant in the factors of interest in cosmetics (p<.001), and 'the harmful ingredients of cosmetics that should be avoided' are significant in the factors of cosmetic information (p<0.05) and the factors of interest in cosmetics (p<0.01). 'Trouble-causing ingredients' showed a statistically significant difference in safety perception in all factors except cosmetic performance factors. Conclusion: There is a need to construct a system that allows consumers to easily purchase cosmetics that are necessary for their skin by schematically or simplifying the information on the usage period and trouble-causing ingredients after opening the cosmetics to be easily understood.

• Journal of the Korean Society for Geothermal and Hydrothermal Energy
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• v.10 no.4
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• pp.8-14
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• 2014

With the advancement of the industry such as information technology, residential facilities has been consistently achieved high standard. Ubiquitous system has been introduced in apartments nowadays, and it will be general facilities in the near future. However elderly people is not generally accustomed to ubiquitous or internet environment, so degree of ubiquitous system usage is able to be less than young people. This study aims to grasp the relative importance of ubiquitous environment, and offer materials to realize residential environment's improvement of silver towns under investigation through a questionnaire survey. Skin recognition system was most preferred among various functions. Energy management system, protection system of solitude elderly person and security system by CCTV was also preferred at a high rate. Housework part such as cooking aid, height control of sink and basin etc., was not less important system relatively.