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강윤희,김충명,홍현욱,이종봉,Kang, Youn-Hee,Kim, Choong-Myeong,Hong, Hyun-Uk,Lee, Jong-Bong 대한용접접합학회 2007 대한용접·접합학회지 Vol.25 No.5
This paper is the first part of the study on the accuracy improvement of numerical analysis of steel welds. The aim of this paper is to raise the accuracy of thermal analysis results, such as the shape and size of the weld cross section and the hardness distribution in HAZ(Heat-Affected Zone). It is known that the factors affecting on the accuracy are thermal properties, metallurgical properties and welding heat source model. It was found that the arbitrary distributed heat source model should be used to predict practical weld cross section shape and size. Also, in order to improve the prediction accuracy of HAZ hardness distribution, it was essential to consider 2 CCT(Continuous Cooling Transformation) diagrams in calculating volume fraction of transformed phases. One is the peak temperature being around melting temperature. The other is the peak temperature being around metallurgical transformation temperature.
학업성취와 심리적 및 가정환경적 요인에 관한 연구 - 졸업반 간호대학생의 경우
강윤희,이은옥,김매자,Kang Yoon Hee,Lee Eun Ok,Kim Mae Ja 대한간호협회 1972 대한간호 Vol.11 No.6
The Primary Purposes of this study are to identify the non-intellectual factors which are dominant in senior nursing students and which are correlated at a significant level with the grade point averages of professional education. One hundred and forty-se
강윤희,이주홍,한선관,Kang, Yun-Hee,Lee, Ju-Hong,Han, Sun-Gwan 한국정보교육학회 2003 정보교육학회논문지 Vol.7 No.2
WBI(Web Based Instruction) has been confined to some course due to a burden of development of instruction materials. In this paper, we implemented a personalized instruction and learning system for Word Processor based on Internet by using WBI. Compared to the traditional instruction and learning method for Word Processor Education, the proposed method induce students to take an interest in the learning and make it possible to do student oriented instruction and learning due to the selection of specific contents according to student's ability and his/her learning step. And this system can evaluate the learning rate on the spot by using personalized homework and maximize learning effect by using feedback.
SVM을 이용한 디렉토리 기반 기술정보 문서 자동 분류시스템 설계
강윤희,박용범,Kang, Yun-Hee,Park, Young-B. 한국전기전자학회 2004 전기전자학회논문지 Vol.8 No.2
Due to the exponential growth of information on the internet, it is getting difficult to find and organize relevant informations. To reduce heavy overload of accesses to information, automatic text classification for handling enormous documents is necessary. In this paper, we describe structure and implementation of a document classification system for web documents. We utilize SVM for documentation classification model that is constructed based on training set and its representative terms in a directory. In our system, SVM is trained and is used for document classification by using word set that is extracted from information and communication related web documents. In addition, we use vector-space model in order to represent characteristics based on TFiDF and training data consists of positive and negative classes that are represented by using characteristic set with weight. Experiments show the results of categorization and the correlation of vector length. 인터넷 상의 정보가 급증하여 필요한 정보를 찾고 관련된 정보를 조직화하는데 많은 시간이 소요된다. 따라서 정보접근 부하를 줄일 수 있는 자동적인 문서 분류의 중요성과 필요성이 증가하고 있다. 본 논문에서는 웹 문서의 자동 분류 시스템의 설계와 구현을 기술한다. 디렉터리 내의 학습 문서 집합을 기반으로 구성된 대표 단어 집합을 이용하여 문서 분류 모델을 학습하기 위해 SVM을 사용하였다. 본 시스템에서는 정보통신 웹 디렉터리 내의 문서로부터 추출된 단어 집합을 기반으로 SVM을 학습 시킨 후 신규 문서에 대해 문서 분류를 수행한다. 또한 TFiDF를 기반으로 특성을 표현하기 위해 벡터공간 모델을 사용하였고 학습 데이터는 가중치를 갖는 특성 집합으로 표현되어진 긍정 및 부정 집합으로 구성하였다. 실험에서는 문서분류의 결과 및 벡터길이의 관련성을 보인다.