• 대한한의학방제학회지
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• 제21권2호
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• pp.72-80
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• 2013

Objectives : Ontology is a good tool to represent the knowledge and has developed for Traditional Korean Medicine(TKM) in Korea Institute of Oriental Medicine. There are a lot of TKM terms, which have a complex meaning, especially major indication terms of medicinal treatment and terms of symptom and disease. These complex meaning terms result in the low linkage between major indication terms of medicinal treatment and terms of symptom and disease in TKM ontology. We studied to enhance the percentage of the linkage among those data in TKM ontology. Methods : We disassembled major indication terms of medicinal treatment into minimum meaning units and then linked them to enhance the percentage of the linkage among medicinal material, formula and disease ontology based on Traditional Korean Medicine. To retain objectivity, several experts of Korean Medicine used a web-based tool that supports users in refining terms and disassembling them into the minimum meaning efficiently. Results : The outcome shows that the percentage of the linkage among medicinal material, formula and disease ontology increased. By linking disassembled major indication terms to symptoms and diseases, the amount of information for medicinal materials and formulas also increased quantitatively in comparison with given formula for diseases in disease ontology. Conclusions : By this study, disassembled data increases the percentage of linkage between diseases and medicinal treatments. And the applicability of TKM ontology is also increased.

• 지식경영연구
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• 제23권2호
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• pp.277-299
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• 2022

관광산업에서 발생하는 방대한 카드 거래 데이터는 관광객의 소비 행태와 패턴을 암시하는 중요한 자원이 되었다. 거래 데이터에 기반을 둔 스마트 서비스 시스템을 개발하는 것은 관광산업과 지식관리시스템 개발자들의 주요한 목표들 중 하나이다. 그러나 기존 추천 기법의 근간이 되어 온 평점을 활용하기 어렵다는 점은 시스템 설계자들이 학습 과정을 평가하기 어렵게 한다. 또한 시간적, 공간적, 인구통계학적 정보와 같이 추천 성과를 높일 수 있는 보조 요소들을 적절히 활용하는 방법도 어려운 상황이다. 이러한 문제들에 대하여 본 논문은 카드 거래 데이터를 기반으로 관광 서비스를 추천하는 새로운 방식인 CTDDTR을 제안한다. 먼저 Doc2Vec를 이용하여 시간성 선호도를 임베딩하여 관광객 그룹과 서비스 벡터로 데이터를 표현하였다. 다음 단계로 딥러닝 기술 중 하나인 다중 계층 퍼셉트론을 도입하여 얻어진 벡터와 관광 RDF로부터 도출한 보조 요소를 통합하여 심층 추천 모듈을 구성하였다. 추가로, 지식경영 분야의 RFM 분석 기법을 심층 추천 모듈에 도입하여 심층 신경망을 학습하는데 사용되는 평점을 생성함으로써 평점 부재 문제에 대응하였다. 제안한 CTDDTR의 추천 성능을 평가하기 위해 제주도에서 8년 동안 발생한 카드 거래 데이터를 사용하였고, 제안된 방법의 우수한 추천 성능과 보조 요소의 효과를 증명하였다.

• 한국가정과교육학회지
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• 제18권4호
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• pp.157-172
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• 2006

본 연구는 현행 7차 교육과정 중 가정교과의 식생활 영역에 있어서 한국 전통 음식문화에 대한 교과내용을 분석하고, 한국 전통 음식문화에 대한 고등학생의 인식 및 교육에 대한 요구도를 알아보고자 하였다. 이를 통해 한국 전통 음식문화에 대한 실천적 교육내용과 교육방법 구성에 기여하는 기초 자료를 제공하는 것을 연구목적으로 하였으며 연구결과를 요약하면 다음과 같다. 첫째, 가정교과의 식생활 영역에 있어서 한국 전통 음식문화에 대한 내용은 중학교 3학년의 '상차림과 식사예절', 고등학교 1학년의 '초대와 행사의 계획과 준비', 고등학교 2-3학년의 '음식문화와 음식마련'의 내용으로 구성되었다. 둘째, 고등학생들은 한국 전통 음식문화에 대해 자긍심을 가지고 있었으나, 실제 가정생활에서는 적용하지 못하였고 특히 '명절과 세시풍속의 의미'에 대해 제대로 이해하지 못하는 것으로 나타났다. 셋째, 한국 전통 음식문화의 교과내용에 대한 요구도는 전통 음식문화에 대한 자긍심과 가정 내에서의 계승여부, 인식도에 따라 유의미한 차이가 나타났으며, 요구도의 하위변인(필요도, 흥미도, 활용도)간 상관관계가 유의하게 높게 나타났다. 넷째, 한국 전통 음식문화의 교육은 고등학생이 필요하다고 느끼는 교육영역으로 나타났으며, 교육내용으로는 만드는 방법이, 교육방법으로는 조리실습과 음식문화 체험활동이 요구되는 것으로 나타났다.

• 한국전자거래학회지
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• 제13권3호
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• pp.51-66
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• 2008

기업이 비즈니스 프로세스의 중요성을 인식하게 되면서 비즈니스 프로세스 관리시스템에 대한 관심이 높아졌다. 그러나 전통적으로 BPMS는 업무프로세스의 모형화 및 실행에 그 초점이 맞추어져 있어, 상대적으로 프로세스 관리의 궁극적인 목적인 프로세스 효율성 제고나 더 나아가 프로세스를 혁신하는 데에는 큰 기여를 하지 못하였다. BPMS는 일반적으로 방대한 량의 이력 데이터를 남기게 되는데, 이에는 프로세스의 실행과 관련된 다양한 의미있는 정보나 규칙들이 숨어있다. 본 연구는 데이터마이닝 기법을 활용하여 프로세스 이력 데이터를 분석하는 체계적인 방법론을 제시한다. 제시된 방법론은 프로세스 분석을 위한 데이터 모형, 분석절차, 그리고 시스템 프레임워크를 포함한다. 또한 그 유용성을 검증하기 위하여, 시뮬레이션 데이터를 이용한 실험결과를 제시한다.

• 대한지역사회영양학회지
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• 제22권3호
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• pp.228-237
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• 2017

Objectives: The purpose of this study was to investigate the smoking status among adult workers, and current status of sugar intake. Methods: The survey included 500 men working in Gyeonggi-do from October to November in 2016. Questionnaire items covered their age, working status, smoking status, eating habits, eating behaviors, snack consumption status, habits and behaviors related to sugar intake. All data were analyzed by SPSS program (Ver. 23) and descriptive statistics was performed; a t-test, ${\chi}^2$ test, One-way ANOVA and Scheffe test were used for post-hoc test. Results: The study results showed that eating habits and behaviors of non-smokers were better than those of smokers. The frequency of daily snack consumption was the highest in smokers compared to and non-smokers. The smokers' favorite taste after smoking was 'Sweet'. The average score of sugar-related nutrition knowledge was higher in non-smokers compared to smokers. Non-smokers had better recognition of 'sugar reduction', and smokers were more likely to eat sweet foods, respectively. On the other hand, non-smokers could observe that they were trying to control themselves for health reasons. According to the results of the study, non-smokers showed better eating habits and dietary habits and consumed less sugar. Also, it was found that non-smokers tried to drink more water than beverages and refrain from eating sweets to reduce their sugar intake. Further, the most of the bread, coffee and beverages were also consumed at a lower frequency by non-smokers compared to smokers. Conclusions: This study results showed that smoking and sugar consumption were closely related. Therefore, adult workers should actively promote and learn so that they can maintain healthy and suitable dietary habits through reduction of sugar consumption.

• 동의생리병리학회지
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• 제27권4호
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• pp.362-366
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• 2013

We are building an Korean Medicine ontology and disassembling indication terms of medicinal materials and formulas. When we disassemble these terms, an expert can disagree about another expert's result, so participants have to consider another opinion and verify each other concurrently. To achieve this, we have developed a web-based tool that support users in refining terms, disassembling them into the minimum meaning efficiently. With this tool, plural participants refer to each other and make use of this as a verification method. This would have enabled participants to achieve consensus. Due to the nature of the traditional Korean Medicine knowledge which have rich implications and is complicated,E there would be a various result of refinement, disassembly, analysis and another processing. This tool assists users in minimizing the differences and maintaining objectivity by agreement. We have refined and analyzed 4,756 terms from materials and formulas indication in Korean Medicine ontology using this tool. And we concluded that disassembled data increases the percentage of linkage between diseases and medicinal treatments and established an infrastructure for the extensible knowledge.

• 농촌계획
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• 제17권4호
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• pp.1-11
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• 2011

This study analyzed push, pull motivation factors and satisfaction of visitors who visited Yangdong village in order to maintain, conserve and seek for effective utilization of this village. The result of this study was summarized as follows. Firstly, the result was that 'personal relations' has a positive impact on 'regional environment' and 'amenities', 'the pursuit of knowledge' has a positive impact on 'regional environment' and 'amenities' on the correlation between the visit motivation and the visit satisfaction. Secondly, 'the pursuit of knowledge' and 'the desire to new experience' have positive impact on the visit satisfaction on a part of the push factor generally. Physical environment was a only factor that has a positive impact on the visit satisfaction on a part of the pull factors. Thirdly, the intention of recommendation was a only factor to has a positive impact on the visit satisfaction on the correlation between the intention of return visit, recommendation and the visit satisfaction. It was proved that the intention of return visit was strongly associated with the intention of recommendation. This result of this study confirmed the important pull and push factor to enhance the tourist attraction of Yangdong village. It will be helpful to make the preliminary data for planning and conservation guidance of traditional village.

• 대한지역사회영양학회지
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• 제3권3호
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• pp.410-422
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• 1998

To promote health status, strategies and interventions to improve nutrition should be based on the proper diagnosis of the subject's eating patterns. The elderly usually have traditional food habits and preferences, and it is very difficult to change them. This study was designed to identify dietary behavior and food preference of the elderly, in order to provide baseline data for the Elderly Nutrition Intervention Program for the Public Health Center. A survey questionnaire was made for use by trained interviewers to query 151elderly people from 5 community elderly centers located in Suwon, Korea. The majority of them ate regularly and partook of all available side dishes. Their major dietary problems were frequent consumptions of salty foods, and eating too quickly. They consumed grains and vegetables regularly, but seldomly ate dairy products, fruits, meat and food prepared with oil. They also tended to eschew ready made processed food, high cholesterol food, and fast food. Also they did not dine out as much as younger people. Desirable eating habit score were not significantly influenced by socioeconomic variables and nutrition-related characteristics. These included nutrition knowledge, Nutritional Risk Index(NRI) and a score of health concerns. However, meal balance scores were significantly higher in the younger group(p<.05), the higher household income group(p<.05). According to stepwise multiple regression analysis, NRI was the most important determinant of a desirable eating habit score for the male elderly, whereas the score of health concerns was mo9st important for female elderly subjects. The greatest predictor of the meal f balance score was nutrition knowledge. The elderly liked sweet tasting food, grains, rice, stews and Korean style soups. They disliked sour food, dairy products, processed food, and bread. The results indicate that the Elderly Nutrition Education Program should focus on increasing consumption of dairy products, fruits and food with oil, prepared by traditional Korean cooking methods. It also suggests that the program planning should consider the socioeconomic status of the elderly, such as income and education level, as well as concern for health.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제8권10호
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• pp.3607-3623
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• 2014

The increasing demand in promoting cloud computing in either business or other areas requires more security of a cloud storage system. Traditional cloud storage systems fail to protect data integrity information (DII), when the interactive messages between the client and the data storage server are sniffed. To protect DII and support public verifiability, we propose a data integrity verification scheme by deploying a designated confirmer signature DCS as a building block. The DCS scheme strikes the balance between public verifiable signatures and zero-knowledge proofs which can address disputes between the cloud storage server and any user, whoever acting as a malicious player during the two-round verification. In addition, our verification scheme remains blockless and stateless, which is important in conducting a secure and efficient cryptosystem. We perform security analysis and performance evaluation on our scheme, and compared with the existing schemes, the results show that our scheme is more secure and efficient.

• Journal of the Korean Society for Industrial and Applied Mathematics
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• 제25권4호
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• pp.296-311
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• 2021

Topological Data Analysis (TDA), a relatively new field of data analysis, has proved very useful in a variety of applications. The main persistence tool from TDA is persistent homology in which data structure is examined at many scales. Representations of persistent homology include persistence barcodes and persistence diagrams, both of which are not straightforward to reconcile with traditional machine learning algorithms as they are sets of intervals or multisets. The problem of faithfully representing barcodes and persistent diagrams has been pursued along two main avenues: kernel methods and vectorizations. One vectorization is the Betti sequence, or Betti curve, derived from the persistence barcode. While the Betti sequence has been used in classification problems in various applications, to our knowledge, the stability of the sequence has never before been discussed. In this paper we show that the Betti sequence is unstable under the 1-Wasserstein metric with regards to small perturbations in the barcode from which it is calculated. In addition, we propose a novel stabilized version of the Betti sequence based on the Gaussian smoothing seen in the Stable Persistence Bag of Words for persistent homology. We then introduce the normalized cumulative Betti sequence and provide numerical examples that support the main statement of the paper.