Design of Health Warning Model on the Basis of CRM by use of Health Big Data

이상원,신성윤,Lee, Sangwon,Shin, Seong-Yoon The Korea Institute of Information and Commucation 2016 한국정보통신학회논문지 Vol.20 No.8

Lots of costs threaten the sustainability of the national health-guarantee system. Despite research by the national center for disease control and prevention on health care dynamics with its auditing systems, there are still restrictions of time limitation, sample limitation, and, target diseases limitation. Against this backdrop, using huge volume of total data, many technologies could be fully adopted to the preliminary forecasting and its target-disease expanding of health. With structured data from the national health insurance and unstructured data from the social network service, we attempted to design a model to predict disease. The model can enhance national health and maximize social benefit by providing a health warning service. Also, the model can reduce the advent increase of national health cost and predict timely disease occurrence based on Big Data analysis. We researched related medical prediction cases and performed an experiment with a pilot project so as to verify the proposed model. 오늘날 많은 비용이 국가 의료보장체계의 유지를 위협하고 있다. 국가 질병 통제 및 방지 센터의 감사체계를 동반한 건강관리 역학성에 대한 연구에도 불구하고, 시간 한계, 표본 한계, 대상 질병 한계에 대한 제약이 여전히 존재하고 있다. 이러한 배경에서, 방대한 양의 전수 데이터를 활용하여, 많은 기술들이 건강의 선제적 예측이나 그 대상 질병을 확장하는 분야에 충분하게 적용되고 있다. 우리는 국민건강보험의 구조적 데이터와 소셜네트워크서비스의 비구조적 데이터를 활용하여 질병을 예측하는 모형을 설계하였다. 이 모형은 건강예보서비스를 제공함으로써, 국민건강을 증진시키고 사회적 혜택을 극대화할 수 있다. 또한, 빅데이터 분석에 근거하여, 건강보험비용의 갑작스러운 증가를 감소시키거나 적시적인 질병발생을 예측할 수도 있다. 관련된 의료 예측 사례를 살펴보았고, 제안된 모형의 검증을 위하여 시범과제를 통한 실험을 수행하였다.

RAMAN 분광기를 이용한 유리의 기포 분석

이상원,Lee, Sangwon 한국분석과학회 1993 분석과학 Vol.6 No.2

델파이기법을 활용한 국가 공공(公共)백신 연구개발 정책수립 기초조사

이소민 ( Somin Lee1 ),여상구 ( Sanggu Yeo ),강신정 ( Shinjung Kang ),한순영 ( Soonyoung Han ),이상원 ( Sangwon Lee ) 한국보건행정학회 2015 보건행정학회지 Vol.25 No.2

Background: Vaccination is the most powerful and useful preparation against infectious diseases. However, developing vaccines costs a lot and requires extensive long-term efforts. Therefore, the government should research and develop vaccines with a national-level policy. To greatly enhance the success rate of vaccine development, the policy should be set up considering priorities such as the current status of domestic research, the importance for public health, the urgency of research. Methods: The Delphi technique was utilized to draft this survey, through a brainstorming stage, then two inquiries, and finally the final panel meeting where unresolved items were discussed, to draw the conclusion. Results: Among the results, firstly, the highest ranked item on centralized fields for vaccine development by the Ministry of Health was ‘self-sufficiency of vaccines.’ Secondly, ‘emerging infectious disease’ was most highly ranked in prioritized fields of vaccine development and research. Thirdly, for the vaccine that needs to be improved and developed further by the government to improve its efficacy and safety, BCG (Bacille de Calmette) for tuberculosis was ranked the highest on both types (intradermal and subcutaneous injection) from National Immunization Programme (NIP) and non-NIP. As for the high risk pathogens, ‘anthrax’ and ‘smallpox’ were first and second, consecutively. Lastly, ‘development and control of vaccine candidates’ was ranked the highest for the area in need for technique development in order to improve domestic vaccine’s research level. Conclusion: The results of this study will be put to good use as basic data for the national vaccine research and development (R&D) policy of the country. This study was first step and more studies should be carried out for the final decision of the national vaccine R&D priority.

17세기 육가형 시조 연구 - 장경세의 〈강호연군가〉와 이중경의 〈어부별곡〉

이상원(Lee Sangwon) 한국언어문학회 2008 한국언어문학 Vol.65 No.-

  This study examined the basic features of Jang, gyeong-se(장경세)’s 〈Ganghoyeongun-ga(강호연군가)〉 and Lee, jung-gyeong(이중경)’s 〈Eobu-byeolgok(어부별곡)〉 and then looked into their status in six-stanza Sijo(육가형 시조) based on them.<BR>  Jang, gyeong-se(장경세)’s 〈Ganghoyeongun-ga(강호연군가)〉 is a song that expresses love for the ruler, concern over the nation, respect toward Zhu Xi(주희), and opposition to Lu Jiuyuan(육구연). The work is historically important in that it reflects social conditions of the early 17th century. The first six parts of the work express the sense of loss felt by the Seoin(서인) who were denied political power and the second six parts concern over Neo-Confucianism that was withering due to the growing influence of the study of mind(심학, the Wang yang-ming school). It is more appropriate to regard Lee, jung-gyeong(이중경)"s 〈Eobu-byeolgok (어부별곡)〉 as a six-stanza Sijo(육가형 시조) rather than as a song of fisherman. His mother"s death led Lee, jung-gyeong(이중경) to frankly confess his inward feelings in 〈Eobu-byeolgok(어부별곡)〉, which shows the simple life of a person who enjoys nature without engaging in complicated matters of the world.<BR>  Six-stanza Sijo(육가형 시조) can be largely divided into the following three parts: 〈Jangyukdang-yukga(장육당육가)〉 series, 〈Dosan-sibigok(도산십이곡)〉 series, and 〈Sok-munsanyukga(속문산육가)〉 series. Jang, gyeong-se(장경세)’s 〈Ganghoyeongun-ga(강호연군가)〉 and Lee, jung-gyeong(이중경)’s 〈Eobu-byeolgok(어부별곡)〉 seem to belong to 〈Dosan-sibigok(도산십이곡)〉 series and 〈Sok-munsanyukga(속문산육가)〉 series respectively.

Modeling of Value Chain for Big Data

Sangwon Lee(이상원),Sungbum Park(박승범),Jumin Lee(이주민),Hyunsup Ahn(안현섭),Yong Goo Choi(최용구) 한국컴퓨터정보학회 2015 한국컴퓨터정보학회 학술발표논문집 Vol.23 No.1

영업규제 정책의 장기 효과 분석: 소매업태별·세대별 소비액 변화를 중심으로

이상원 ( Sangwon Lee ),문정훈 ( Junghoon Moon ),주하연 ( Hailey Hayeon Joo ) 한국산업조직학회 2022 産業組織硏究 Vol.30 No.2

본 논문은 영업규제 정책의 장기 효과를 고찰하기 위해, 정책 실시 전후 10년간 소매업태별 소비지출액 변화를 살펴본다. 분석 결과 소비지출액 변화에 있어, 규제 대상이었던 대형마트와 기업형슈퍼마켓(SSM)에서는 변화가 없거나 오히려 정(+)의 효과가 나타났고, 보호 대상이었던 전통시장과 일반슈퍼마켓에서는 부(-)의 효과가 나타났으며, 온라인 비중의 확대가 확인되었다. 이러한 추세는 특히 70~80년대생에 있어 보다 강하게 나타났는데, 이는 시간이 지나면서 유통산업의 주 소비층이 젊은 세대로 이동함에 따라 그 효과가 가중되고 있음을 의미한다. 본 논문은 기존 연구 문헌에서 보인 단(중)기 효과가 장기적으로 어떻게 변모했는지 확인하는 한편, 세대별 효과의 이질성을 통해 향후 정책 효과의 전망까지도 제시했다는 점에서 학술적·정책적 함의가 있다. This paper estimates the changes in consumption expenditure by consumption channel for 10 years before and after policy implementation. Based on this, the paper examines the long-term effects of the Sunday Closing laws according to the revision of the Distribution Industry Development Act in Korea. As a result of the empirical analysis, we confirm that consumption expenditure does not change significantly in large discount stores that have been regulated by Sunday Closing laws in the long term, and rather increase in SSM. In addition, consumption expenditure in the traditional market, which was the main target of protection in policy, decrease continuously, and in small supermarket, it also decline in the long term. Also, there is remarkable growth in online consumption expenditure in long-term. What is particularly noteworthy in the analysis is that online consumption of those born in the relatively young 70s and 80s increase significantly in the long term. This paper has academic and policy implication in that it confirms how the short-term effects shown in the existing literature have changed in the long term and also presents prospects for future policy effects through the heterogeneity of generational effects.

Modeling of Policy Making for Big Data

Sangwon Lee(이상원),Sungbum Park(박승범),Sunghyun Kim(김성현),Seong Wook Chae(채성욱) 한국컴퓨터정보학회 2015 한국컴퓨터정보학회 학술발표논문집 Vol.23 No.1

Modeling of Crowd Source for Big Data

Sangwon Lee(이상원),Sungbum Park(박승범) 한국컴퓨터정보학회 2015 한국컴퓨터정보학회 학술발표논문집 Vol.23 No.1

행동인식을 위한 SVM 기반의 관절 추정 알고리즘

이상원(Sangwon Lee),김한근(Hanguen Kim),김영재(Youngjae Kim),이세린(Serin Lee),이동성(Dongsung Lee),주진선(Jinsun Ju),명현(Myung Hyun) 제어로봇시스템학회 2014 제어로봇시스템학회 각 지부별 자료집 Vol.2014 No.11

In this paper, a novel method for human pose estimation algorithm is proposed. The proposed algorithm only uses depth information only and can work for any human without calibration. To estimate human poses, the proposed algorithm combines a support vector machine(SVM) and a geodesic distance graph. The SVM-based pose estimator uses randomly selected human features to reduce computation. Body parts that involve a lot of motions are estimated by geodesic distance value. The proposed human pose estimation algorithm is evaluated through an experiment and the result showed that our method perform fairly well.

스마트 팜의 재생에너지 자가 소비 촉진을 위한 최적 포트폴리오 분석

이상원(Sangwon Lee),조영상(Youngsang Cho) 대한전기학회 2022 전기학회논문지 Vol.71 No.1

The purpose of this study is to analyze the ways to expand the supply of renewable energy to large-scale facility farms and to derive policies to promote self-consumption of renewable energy for efficient use and operation of energy nationwide. This is ultimately intended to reduce power consumption for agriculture supplied from fossil fuel power plants. We assume three main technologies such as photovoltaic power generation, energy storage system(ESS), and air heat pump for smart-farm models, and the objective function and conditions for maximizing cost-benefit are analyzed through linear programming. Assuming several scenarios reflecting various conditions of REC price, CO₂ emission price, and agricultural electricity rate, which are the benefit factors of operators who installs renewable energy, we present some conditions for promoting self-consumption of renewable energy and emission price levels through simulation. The results of this study can contribute to increase the benefits of smart farm models with renewable energy installed and the efficiency of nationwide power system management.