• ETRI Journal
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• v.35 no.6
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• pp.969-979
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• 2013

Various simulation applications for hair, clothing, and makeup of a 3D avatar can provide more useful information to users before they select a hairstyle, clothes, or cosmetics. To enhance their reality, the shapes, textures, and colors of the avatars should be similar to those found in the real world. For a more realistic 3D avatar color reproduction, this paper proposes a spectrum-based color reproduction algorithm and color management process with respect to the implementation of the algorithm. First, a makeup color reproduction model is estimated by analyzing the measured spectral reflectance of the skin samples before and after applying the makeup. To implement the model for a makeup simulation system, the color management process controls all color information of the 3D facial avatar during the 3D scanning, modeling, and rendering stages. During 3D scanning with a multi-camera system, spectrum-based camera calibration and characterization are performed to estimate the spectrum data. During the virtual makeup process, the spectrum data of the 3D facial avatar is modified based on the makeup color reproduction model. Finally, during 3D rendering, the estimated spectrum is converted into RGB data through gamut mapping and display characterization.

• Korea Journal of Hospital Management
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• v.17 no.4
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• pp.167-187
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• 2012

Organizational growth is achieved through the process of finding opportunities in the environment and establishing a business model with internal and external resources. Bestian Hospital, which primarily focuses on saving the lives of patients with severe burns, has enlarged its business domain through deep understanding of burn patients' problems, including pain and complications during treatments, long-term treatments, skin reconstruction, and so on. Now Bestian is accelerating research for development of antipyretics and cosmetics for burn patients. The success of Bestian has been due to utilization of human and material resources that are essential to performance in the medical field. Also, Bestian properly used a management service organization(MSO) model and constructed an information technology(IT) system for supporting its businesses. However, previous successes do not guarantee continued success. Bestian is entering a new domain with different challenges than it has experienced so far, and how it deals with these challenges will decide its future.

• Journal of Digital Convergence
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• v.20 no.3
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• pp.407-413
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• 2022

Existing clothing recommendation systems remain at the level of showing appropriate photos when a user selects a type of clothing he or she likes after entering his or her own body size or body size. When a user purchases clothing using such recommendation systems, there are many cases in which it does not fit or does not fit the user's body size. In this study, to solve these problems of existing clothing recommendation systems, a system was implemented in which the user receives not only size but also skin tone and recommends clothing suitable for the user's body size as well as skin tone. In this system, clothing size information obtained through web crawling was periodically stored in a database for eight male tops to recommend clothing, and the entire pixel of the clothing image was analyzed to extract color text values. In order to confirm the performance of this system, a survey was conducted on 100 male college students, and the satisfaction level was 70%. Most of the reasons for not being satisfied are that the recommended clothing is limited, so it is judged that it is necessary to expand the target clothing in the future.

• Journal of Korean Traditional Oncology
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• v.25 no.1
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• pp.11-24
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• 2020

Objective : Radiodermatitis is a common sequelae in 95% of patients receiving radiation therapy, which is important to be well managed as it can affect the patient's quality of life as well as the cancer treatment schedule. The aim of this study is to review and summarize the interventions available for the treatment of acute radiodermatitis, including traditional Korean medicine, and to propose treatment algorithms for clinicians. Methods : To collect studies about managements for radiodermatitis, domestic and foreign database were used such as Korean journal of traditional knowledge portal (KTKP), Korean studies information service system (KISS), national discovery or science leaders (NDSL), and oriental medicine advance searching integrated system (OASIS), Pubmed, Google scholar and Scopus. Results : Thirty-two studies were selected. There were nine studies on usual care and dressing, eleven studies on chemical agents, two studies on biological preparations, and ten studies on herbal medicines. Conclusion : Hygienic options and dressings have proved to be useful in the management of radiodermatitis. Chemical agents such as corticosteroid, statin, and topical antibiotic agent have proved to alleviate symptoms and severity, regenerate damaged skin, and prevent secondary infection. In biological preparations, EGF (epidermal growth factor) and GM-CSF (granulocyte-macrophage colony-stimulating factor) could be used to protect skin and prevent radiodermatitis. For herbal medicines, Calendula, catechin, β-sitosterol, and Jaungo (紫雲膏) may be effective for symptoms including pain, itching, and burning sensation induced by radiation therapy. Because of some research with conflicting results, further studies are needed to propose an algorithm for more optimal treatments.

• 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.

• Korean Journal of Community Nutrition
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• v.26 no.5
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• pp.396-407
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• 2021

Objectives: We examined the common allergenic foods, symptoms and management of food allergies in children attending the facilities registered at Center for Children's Foodservice Management in Gangdong-gu, Korea. Methods: The survey was conducted among the directors or head teachers of 186 children's food service facilities with 7,591 children in 2019. The questionnaire consisted of three parts, including general information about food service facilities, information related to food allergies and allergenic foods and symptoms in individual children. Results: The number of children with food allergy was 271 (3.6%), and the proportion decreased with the increase of age. There were 91 children (33.6%) with a medical certificate, and these children had a significantly higher number of allergenic foods and symptoms than those without a medical certificate. Allergenic food groups included meat, fish, eggs and legumes (59.1%), fruits (12.4%), milk and dairy products (8.9%), cereals (7.8%), vegetables (6.2%), processed foods (3.8%) and oils and sugars (1.9%). Eggs accounted for 22.1%, followed by peanut and tree nuts (18.6%), fruits (12.4%), milk and dairy products (8.9%), shellfish (8.6%), vegetables (6.2%), fish (5.7%), cereals (4.3%) and meat (1.1%). The common allergenic foods were eggs, peanuts, walnuts, kiwi, shrimp, milk, tomatoes, mackerel, blue-green fish, peaches, shellfish (clams and abalone), buckwheat, wheat and soybeans. The most common allergic symptoms were skin and mucous membrane symptoms, such as hives, rash, itching and oral angioedema. Meal management for children with food allergies showed different trends depending on the causative food. Conclusions: The objective diagnosis by an allergist should be done for food allergy management in children's catering facilities. A system for systematic meal management of causative foods should be prepared.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.11
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• pp.4662-4679
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• 2015

Currently, the leakage of internal information has emerged as one of the most significant security concerns in enterprise computing environments. Especially, damage due to internal information leakage by insiders is more serious than that by outsiders because insiders have considerable knowledge of the system's identification and password (ID&P/W), the security system, and the main location of sensitive data. Therefore, many security companies are developing internal data leakage prevention techniques such as data leakage protection (DLP), digital right management (DRM), and system access control, etc. However, these techniques cannot effectively block the leakage of internal information by insiders who have a legitimate access authorization. The security system does not easily detect cases which a legitimate insider changes, deletes, and leaks data stored on the server. Therefore, we focused on the insider as the detection target to address this security weakness. In other words, we switched the detection target from objects (internal information) to subjects (insiders). We concentrated on biometrics signals change when an insider conducts abnormal behavior. When insiders attempt to leak internal information, they appear to display abnormal emotional conditions due to tension, agitation, and anxiety, etc. These conditions can be detected by the changes of biometrics signals such as pulse, temperature, and skin conductivity, etc. We carried out experiments in two ways in order to verify the effectiveness of the emotional recognition technology based on biometrics signals. We analyzed the possibility of internal information leakage detection using an emotional recognition technology based on biometrics signals through experiments.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.25 no.1
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• pp.45-57
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• 2015

Objectives: This study aims to compare the physicochemical characteristics, toxicological data with Occupational Exposure Limits (OELs) of chemicals under the Occupational Safety and Health Act(OSHA) regulated by the Ministry of Employment and Labor of Korea. Methods: Information on chemicals which have OELs on physicochemical characteristics and toxicological data was collected using Material Safety Data Sheet(MSDS) from Korea Occupational Safety and Health Agency(KOSHA) and the Korea Information System for Chemical Safety Management(KISChem) in 2014. Statistical analyses including correlation and simple regression were performed to compare the OELs with chemical characteristics including molecular weight, boiling point, odor threshold, vapor pressure, vapor density, solubility and octanol-water partition coefficient(OWPC) and toxicological data such as median lethal dose($LD_{50}$) and median lethal concentration($LC_{50}$). Results: A total of 656 chemicals have OELs under OSHA in Korea. The numbers of chemicals which have eight-hour time weighted average(TWA) and short term exposure limits(STEL) are 618 and 190, respectively. TWA was significantly correlated with boiling point and STEL was only correlated with vapor pressure among physicochemical characteristics. Solubility and OWPC between "skin" and "no skin" substances which indicate skin penetration were not significantly different. Both $LD_{50}$ and $LC_{50}$ were correlated with TWA, while the $LC_{50}$ was not with STEL. As health indicators, health rating and Emergency Response Planning Guidelines(ERPG) rating as recommended by the National Fire Protection Association(NFPA) and American Industrial Hygiene Association(AIHA) were associated with OELs and reflect the chemical hazards. Conclusions: We found relationships between OEL and chemical information including physicochemical characteristics and toxicological data. The study has an important meaning for understanding present regulatory OELs.

• Journal of Biomedical Engineering Research
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• v.11 no.2
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• pp.305-314
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• 1990

In this paper we have implemented and tested TPN which is system to supply sufficent nutrition to nutritionally deficient patient by means of ES (expert system) a kind of A.1 (artificial intelligence) . This system affords to evaluation of nutritional state of patient which is essential to physi- cian. who performs TPN, decision of performing TPN and management of patient-data & calculation of information needing to making TPN fluid. The features were as follolv 1. we input data, take ideal weight of patient and 24hr's creatlnln In urine according to chart in system compare TSF (triceps skin fold), MAC (mid-arm circumference), AMC (arm muscle circumference) to 5th, 15th, 50th percentile and evaluate the nutritional state of patient. 2. Calculation of protein & nonprotein calorie needing to treament of patient can be made exactly by stress factor, activity factor and body temperature. 3. patient's personal recording needing to management of patient date name of chief doc- tor, name of department of admission, chart number, history can by taken very easily. 4. The way of system operating is pull-down Menu one, It can be processing very efficiently. 5. Date processing in system, we can manage memory volume of computer verlr efficiently using of dynamic allocation variables. 6. We can make it very easy to edit & revise the input data, processed data is saved to diskette in 2 files (TDF, THF) , these are semipermanent preservation.

• IEIE Transactions on Smart Processing and Computing
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• v.4 no.3
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• pp.133-140
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• 2015

Neural stimulating implantable medical devices (IMDs) have been widely used to treat neurological diseases or interface with sensory feedback for amputees or patients suffering from severe paralysis. More recent IMDs, such as retinal implants or brain-computer interfaces, demand higher performance to enable sophisticated therapies, while consuming power at higher orders of magnitude to handle more functions on a larger scale at higher rates, which limits the ability to supply the IMDs with primary batteries. Inductive power transmission across the skin is a viable solution to power up an IMD, while it demands high power efficiencies at every power delivery stage for safe and effective stimulation without increasing the surrounding tissue's temperature. This paper reviews various wireless neural stimulating systems and their power management techniques to maximize IMD power efficiency. We also explore both wireless electrical and optical stimulation mechanisms and their power requirements in implantable neural interface applications.