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조상연,김용욱,오승협,박찬빈,Cho, S.Y.,Kim, Y.W.,Oh, S.H.,Park, C.B. 한국시스템엔지니어링학회 2005 시스템엔지니어링학술지 Vol.1 No.1
In executing the large scale national project, such as development of space launch vehicle, it is most important to guarantee the technological reliability. However the reliability analysis of launch vehicle is different from other mass product goods because of the limitation of budget and number of tests. In this study, the reliability analysis technique of the propulsion system, which is one of the major sub-systems of launch vehicle is illustrated and applied to the liquid rocket engine of KSR-III.
저속 유동장이 있는 원통형 연소기에서의 열-음향학적 불안정에 대한 능동 제어 연구
조상연,이용석,이수갑,배충식 한국소음진동공학회 1998 소음 진동 Vol.8 No.5
Combusion instability due to thermoacoustic feedback in a ducted combustor usually excites severe noise and vibration, which could lead to result in the failure of the system or environmental dispute. In the present study, an active noise control(ANC) method with an adaptive algotithm is hired to suppress instability which has very discrete behavior in the frequency domain. Especially a feedback system is composed to evade hot environment of the combustor, and as a preliminary, the performance and stability of the controller is chekced by simulating the real situation with harmonic waves. Application to the real combustor showed serious reductions in sound pressure level by 20∼30 dB. It was also shown that the selected control system was very stable and effective.
빅데이터 분석기법을 활용한 아파트 가격 관련 뉴스 기사의 극성 분석
조상연,홍은표 한국디지털정책학회 2019 디지털융복합연구 Vol.17 No.9
This study confirms the polarity of news articles on apartment prices using Opinion Mining which has widely been used for a big data analysis. The analyses were carried out utilizing internet news articles posted on the Naver for two years: 2012 and 2018. We proposed a sentiment analysis model and modeled a topic-oriented sentiment dictionary construction methods. As a result of analyzing the proposed sentiment analysis model, it was confirmed that there was a difference according to the tendency of the media companies in selecting social issues at the time of rising apartment prices. At the same time, we were able to find more affirmative articles in the media companies which share similar sentiment with the government in charge. In this paper, we proposed a sentiment analysis model that can be used in real estate field and analyzed the polarity of unformatted data related to real estate. In order to integrate them into various fields in the future, it is necessary to build the sentiment dictionaries by themes, as well as to collect various unformatted data over extended periods. 본 연구는 빅데이터 분석 방법인 오피니언 마이닝을 사용하여 아파트 가격 관련 뉴스 기사의 극성을 확인하는 연구로 자료는 2012년, 2018년 2년간 네이버에 게시된 인터넷 뉴스 기사를 사용하였다. 감성분석 모형을 모델링하고 주제 지향형 감성사전 구축 방법을 제안하였다. 제안한 감성분석 모형을 통해 분석한 결과, 아파트 가격이 상승하는 시기에는 사회적 이슈 선정에 있어서 언론사의 성향에 따라 차이가 있는 것을 확인하였고 정부와 동일한 성향의 언론사에서 긍정 기사가 많은 것을 확인하였다. 부동산 분야에서 사용할 수 있는 감성분석 모형을 제시하고 부동산 관련 비정형 데이터의 극성을 분석하였다는 것에 의의가 있다. 향후 다양한 분야에 접목하기 위해서는 주제별 감성사전을 구축해야 하며 다양한 비정형 데이터를 수집하고 수집 기간을 확장하는 것이 필요하다.