사기 탐지에 대한 데이터 마이닝 문헌 연구와 분류 프레임워크

전병국,김태훈,최소윤,안현철 한국지능정보시스템학회 2014 한국지능정보시스템학회 학술대회논문집 Vol.2014 No.11

효율적 지구단위계획 수립을 위한 증강현실 기반 도시계획지원시스템 적용 연구

전병국,김철주,김창석,소진광 대한공간정보학회 2012 Spatial Information Research Vol.20 No.2

This paper is aimed at offering preliminary data that improve the effectiveness of district unit planning, which has adopted to make comfortable environment of national land, to prevent urban sprawl rural area and to perform systematic maintenance of the existing urban area, by case study analysis about the applied possibility of GIS-based augmented reality. To do this, we developed the augmented reality based urban planning support system and checked the parts that can be applied of augmented reality techniques in the process of district units planning. And we analysed about merits and demerits of augmented reality techniques through comparative analysis, which is about form, arrangement, use, and height of building, building coverage ratio, floor area ratio and landscape planning in the case study area, the Yeosu district(located in Seongnam). 본 연구는 공간계획의 일환으로 도입된 지구단위계획의 수립과정을 중심으로 GIS에 기초한 증강현실기법의 도입가능성을 검토하는데 그 목적을 두고 있다. 이를 위하여 증강현실 기반의 도시계획지원시스템을 구축하였고 현행 지구단위계획 내용 중 공간적인 성격이 강하여 증강현실기법의 적용이 가능한 부분들을 검토하였으며 성남 여수지구를 대상으로 지형현황분석, 용도지역 구분 및 기반시설 배치 분석, 건축물 형태 및 배치분석, 건축물 용도・높이・건폐율・용적률 및 경관계획에 시범 적용함으로써 증강현실기법의 지구단위계획으로 적용 가능성을 모색하였다. 또한 지구단위계획 수립과정에서 증강현실기법 적용 효과를 기존 방법과 비교하는 방식으로 분석하여 증강현실기법 적용을 통한 지구단위계획 수립의 실효성 확보 가능성을 제시하였다.

바보 이반을 통해 살펴보는 러시아 정체성

전병국,이효숙 건국대학교 GLOCAL(글로컬)캠퍼스 동화와번역연구소 2022 동화와 번역 Vol.44 No.-

민담은 편재성이라는 기반 위에서 각 민족과 각 지역이 가지고 있는 고유한 특성에 새로운 이야기가 더해져 완성된다. 고유성은 각 지역, 각 민족이 타지역, 타민족과는 다른 사회적 환경, 역사적 배경 그리고 민족 정체성에 의해서 발현된 특성을 의미하며, 이러한 고유성이 민담의 다양성을 만들어낸다. 러시아의 바보와 관련된 민담 또한 위에서 말한 것처럼, 편재성을 가지고 있다. 그러나, 러시아만의 고유성 또한 당연히 가지고 있다. 그리고 이러한 러시아만의 고유성을 찾아가는 과정은 러시아민족이 가지고 있는 정체성을 분석하는데, 훌륭한 리트머스 종이가 된다. 바보 이반은 현대적 시야에서 본다면, 실패가 확정적인 사람이다. 그는 게으르고, 멍청하며, 대책 없이 선함을 남발하고 있다. 그러나 바보 이반을 러시아라는 공간적 배경과 빈부와 신분 격차가 극심했던 시대적 배경을 통해서 살펴본다면 새로운 해석이 가능하다. 바보 이반의 어리석음은 어리석음이 아니다. 오히려 이 어리석음이 인간 본연의 순진무구함에 집중하게 만든다. 또한 바보 이반을 성공으로 이끄는 행운은 인간이 가지고 있는 선함에 기인한다. 타인의 아픔에 진심으로 슬퍼하고, 타인의 말에 진심으로 집중하고 그래서 타인과 동행하고자 하는 바보 이반의 선함은 지식과 물질보다 더 중요한 것이 있음을 역설적으로 보여주고 있다.

이민자통합정책이론을 통한 러시아 정부의 이주 및 노동정책 분석 연구: CIS 출신 귀환 러시안 이주민을 중심으로

전병국 한국러시아문학회 2013 러시아어문학 연구논집 Vol.44 No.-

Currently Russia has the second largest number of immigrants and more than 14 million immigrants reside there. Most of these people are immigrants from the collapse of the Soviet Union in 1991 and from CIS, and 65% of them are from Slav. These immigrants from CIS are not due to the change of residents but are due to the change of boarders which is a new kind of immigrant. In other words, these immigrants lived in the countries of CIS and were citizens of the Soviet Union but the collapse of the Soviet Union and independence of Russia made them as brethren abroad living in CIS and the era made to return to Russia. The emergence of these returned immigrants have caused various problems to the Russian society starting from problems in citizenship to difference in language, culture and labors which were not possible to be handled with the laws and policies of the time. Especially labor problems of returned immigrants were one of the fundamental conditions, as well as citizenship, for them to settle down in Russian society. Unfortunately coupled with conventional labor environment, population problem, and rapid economical growth it came up as an urgent social problem. Russia have been making lots of various policies to deal with labor problems of these returned immigrants. These policies are influencing throughout Russia’s economy, society, and culture. Considering all these, Russia governments’view in analyzing the returned immigrants is not merely a part of research in Russian society but is a research of exploring the fundamental problems in politics, economics, and society that the current Russia is facing, and also it is the central research to predict the direction which Russia is seeking to become a truly developed country in the future. This research analyzed the problems of returned immigrants and their labor policies, which have become one of the most important problems in Russian society, by using Castles and Miller’s the theory of immigrant integration policy. By using the theory it is possible to classify them by time and policy, by identity of the immigrant family, by assimilation type, and by multiculturalism type, and by the way they are connected with each other. This kind of analysis can derive out Russia’s policy toward immigrants in three dimensional classification and this will be foundation to look into Russia’s view toward their immigrants based on political and economical necessities which are keep on changing. This research is to contribute to other researches on Russian immigrants. Although there are parts to be complemented and changed, I would like to make it as a main subject of research and leave rest to the follow-up studies.

EPA attenuates ultraviolet radiation-induced downregulation of aquaporin-3 in human keratinocytes

전병국,강문경,이강태,이건국,이호섭,우원홍,문연자 대한약학회 2015 Archives of Pharmacal Research Vol.38 No.8

Eicosapentaenoic acid (EPA) is an omega-3 polyunsaturated fatty acid (x-3 PUFA) that protects against photodamage and photocarcinogenesis in mammals. Aquaporin-3 (AQP3) is a water/glycerol transport protein that is found in basal layer keratinocytes. In this study, we have investigated the protective effect of EPA against ultraviolet B (UVB)-induced AQP3 downregulation in human keratinocytes. EPA treatment was found to increase AQP3 gene and protein expression in human epidermal keratinocytes (HaCaT). Using a specific inhibitor, we observed that the effect of EPA on AQP3 expression was mediated by extracellular signal-regulated kinase (ERK) activation. UVB radiation induced AQP3 downregulation in HaCaT cells, and it was found that EPA treatment attenuated UVB-induced AQP3 reduction and the associated cell death. UVB-induced downregulation of AQP3 was blocked by EPA and p38 inhibitor SB203580. Collectively, the present results show that EPA increased AQP3 expression and that this led to a reduction UVB-induced photodamage.

Investigation of two-phase natural circulation with the SMART-ITL facility for an integral type reactor

전병국,윤은구,배황,양진화,류성욱,방윤곤,이성재,박현식 한국원자력학회 2022 Nuclear Engineering and Technology Vol.54 No.3

A two-phase natural circulation test using SMART integral test loop (SMARTeITL) was conducted toexplore thermo-hydraulic phenomena of two-phase natural circulation in the SMART reactor. Specifically,the test examined the natural circulation in the primary loop under a stepwise coolant inventoryloss while keeping the core power constant at 5% of the scaled full power. Based on the test results, threeflow regimes were observed: single-phase natural circulation (SPNC), two-phase natural circulation(TPNC), and boilerecondenser natural circulation (BCNC). The flow rate remained steady in the SPNC,slightly increased in the TPNC, and dropped abruptly and maintained in the BCNC. Using a natural circulationflow map, the natural circulation characteristic in the SMARTeITL was compared with those inpressurized water reactor simulators. In the SMARTeITL, a BCNC regime appeared instead of siphoncondensation and reflux condensation regimes because of the use of once-through steam generators. © 2021 Korean Nuclear Society, Published by Elsevier Korea LLC. This is an open access article under th

사용자 리뷰 마이닝을 결합한 협업 필터링 시스템: 스마트폰 앱 추천에의 응용

전병국,안현철 한국지능정보시스템학회 2015 지능정보연구 Vol.21 No.2

Collaborative filtering(CF) algorithm has been popularly used for recommender systems in both academic and practical applications. A general CF system compares users based on how similar they are, and creates recommendation results with the items favored by other people with similar tastes. Thus, it is very important for CF to measure the similarities between users because the recommendation quality depends on it. In most cases, users' explicit numeric ratings of items(i.e. quantitative information) have only been used to calculate the similarities between users in CF. However, several studies indicated that qualitative information such as user's reviews on the items may contribute to measure these similarities more accurately. Considering that a lot of people are likely to share their honest opinion on the items they purchased recently due to the advent of the Web 2.0, user's reviews can be regarded as the informative source for identifying user's preference with accuracy. Under this background, this study proposes a new hybrid recommender system that combines with users' review mining. Our proposed system is based on conventional memory-based CF, but it is designed to use both user's numeric ratings and his/her text reviews on the items when calculating similarities between users. In specific, our system creates not only user-item rating matrix, but also user-item review term matrix. Then, it calculates rating similarity and review similarity from each matrix, and calculates the final user-to-user similarity based on these two similarities(i.e. rating and review similarities). As the methods for calculating review similarity between users, we proposed two alternatives - one is to use the frequency of the commonly used terms, and the other one is to use the sum of the importance weights of the commonly used terms in users' review. In the case of the importance weights of terms, we proposed the use of average TF-IDF(Term Frequency - Inverse Document Frequency) weights. To validate the applicability of the proposed system, we applied it to the implementation of a recommender system for smartphone applications (hereafter, app). At present, over a million apps are offered in each app stores operated by Google and Apple. Due to this information overload, users have difficulty in selecting proper apps that they really want. Furthermore, app store operators like Google and Apple have cumulated huge amount of users' reviews on apps until now. Thus, we chose smartphone app stores as the application domain of our system. In order to collect the experimental data set, we built and operated a Web-based data collection system for about two weeks. As a result, we could obtain 1,246 valid responses(ratings and reviews) from 78 users. The experimental system was implemented using Microsoft Visual Basic for Applications(VBA) and SAS Text Miner. And, to avoid distortion due to human intervention, we did not adopt any refining works by human during the user's review mining process. To examine the effectiveness of the proposed system, we compared its performance to the performance of conventional CF system. The performances of recommender systems were evaluated by using average MAE(mean absolute error). The experimental results showed that our proposed system(MAE = 0.7867 ~ 0.7881) slightly outperformed a conventional CF system(MAE = 0.7939). Also, they showed that the calculation of review similarity between users based on the TF-IDF weights(MAE = 0.7867) leaded to better recommendation accuracy than the calculation based on the frequency of the commonly used terms in reviews(MAE = 0.7881). The results from paired samples t-test presented that our proposed system with review similarity calculation using the frequency of the commonly used terms outperformed conventional CF system with 10% statistical significance level. Our study sheds a light on the application of users' review information for facilitating electronic commerce by recommen... 협업 필터링은 학계나 산업계에서 우수한 성능으로 인해 많이 사용되는 추천기법이지만, 정량적 정보인 사용자들의 평가점수에만 국한하여 추천결과를 생성하므로 간혹 정확도가 떨어지는 문제가 발생한다. 이에 새로운 정보를 추가로 고려하여, 협업 필터링의 성능을 개선하려는 연구들이 지금까지 다양하게 시도되어 왔다. 본 연구는 최근 Web 2.0 시대의 도래로 인해 사용자들이 구입한 상품에 대한 솔직한 의견을 인터넷 상에 자유롭게 표현한다는 점에 착안하여, 사용자가 직접 작성한 리뷰를 참고하여 협업 필터링의 성능을 개선하는 새로운 추천 알고리즘을 제안하고, 이를 스마트폰 앱 추천 시스템에 적용하였다. 정성 정보인 사용자 리뷰를 정량화하기 위해 본 연구에서는 텍스트 마이닝을 활용하였다. 구체적으로 본 연구의 추천시스템은 사용자간 유사도를 산출할 때, 사용자 리뷰의 유사도를 추가로 반영하여 보다 정밀하게 사용자간 유사도를 산출할 수 있도록 하였다. 이 때, 사용자 리뷰의 유사도를 산출하는 접근법으로 중복 사용된 색인어의 빈도로 산출하는 방안과 TF-IDF(Term Frequency - Inverse Document Frequency) 가중치 합으로 산출하는 2가지 방안을 제시한 뒤 그 성능을 비교해 보았다. 실험결과, 제안 알고리즘을 통한 추천, 즉 사용자 리뷰의 유사도를 추가로 반영하는 알고리즘이 평점만을 고려하는 전통적인 협업 필터링과 비교해 더 우수한 예측정확도를 나타냄을 확인할 수 있었다. 아울러, 중복 사용 단어의 TF-IDF 가중치의 합을 고려했을 때, 단순히 중

A study on thermal conductivity and mechanical properties of carbon filled polymer composites

전병국,김해운,유영재,원종찬,이성구 한국고분자학회 2011 한국고분자학회 학술대회 연구논문 초록집 Vol.2011 No.1

효율적 지구단위계획 수립을 위한 증강현실 기반 도시계획지원시스템 적용 연구

전병국,김철주,김창석,소진광,Jeon, Byeong-Kuk,Kim, Chul-Joo,Kim, Chang-Seok,So, Jin-Kwang 한국공간정보학회 2012 한국공간정보학회지 Vol.20 No.2

본 연구는 공간계획의 일환으로 도입된 지구단위계획의 수립과정을 중심으로 GIS에 기초한 증강현실기법의 도입가능성을 검토하는데 그 목적을 두고 있다. 이를 위하여 증강현실 기반의 도시계획 지원시스템을 구축하였고 현행 지구단위계획 내용 중 공간적인 성격이 강하여 증강현실기법의 적용이 가능한 부분들을 검토하였으며 성남 여수지구를 대상으로 지형현황분석, 용도지역 구분 및 기반시설 배치분석, 건축물 형태 및 배치분석, 건축물 용도 높이 건폐율 용적률 및 경관계획에 시범 적용함으로써 증강현실기법의 지구단위계획으로 적용 가능성을 모색하였다. 또한 지구단위계획 수립과정에서 증강현실기법 적용 효과를 기존 방법과 비교하는 방식으로 분석하여 증강현실기법 적용을 통한 지구단위계획 수립의 실효성 확보 가능성을 제시하였다. This paper is aimed at offering preliminary data that improve the effectiveness of district unit planning, which has adopted to make comfortable environment of national land, to prevent urban sprawl rural area and to perform systematic maintenance of the existing urban area, by case study analysis about the applied possibility of GIS-based augmented reality. To do this, we developed the augmented reality based urban planning support system and checked the parts that can be applied of augmented reality techniques in the process of district units planning. And we analysed about merits and demerits of augmented reality techniques through comparative analysis, which is about form, arrangement, use, and height of building, building coverage ratio, floor area ratio and landscape planning in the case study area, the Yeosu district(located in Seongnam).

위치정보 기반의 모바일 매쉬업 서비스 설계 및 구현

전병국,이준동,최재홍 한국통신학회 2011 韓國通信學會論文誌 Vol.36 No.4

최근 들어 매쉬업 서비스 및 스마트폰의 확산에 따라 다양한 애플리케이션들이 등장하고 있다. 이러한 매쉬업 서비스는 오픈 API를 이용하여 새로운 응용 분야를 만들고 있다. 본 논문에서는 모바일 매쉬업 서비스로서 Airmap 시스템을 설계하고 구현한다. 제안된 시스템 Airmap은 위치정보를 기반으로 하여 사용자의 주요 관심 대상이 되는 객체에 대해서 사진촬영과 이에 대한 정보를 부여하는 내용을 덧붙여 모바일에서 웹 서버로 저장하고 검색하는 모바일 매쉬업 애플리케이션이다. 제안된 시스템은 향후 모바일 증강현실 시스템으로도 확장이 가능하며 모바일 POI(Point of Interest) 분야에도 적용될 수 있다.