http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
고휘도 LED를 이용한 단거리 가시광 통신 모듈레이터 설계 및 제작
김권우(Kwon-Woo Kim),한동열(Dong-Yeol Han),이승호(Seung-Ho Lee),곽려혜(Lee Hui Kueh),김민규(Min-Kyu Kim),김정표(Jung-Pyo Kim),박현덕(Hyun-Duk Park),이준탁(John-Tark Lee) 대한전기학회 2010 대한전기학회 학술대회 논문집 Vol.2010 No.7
본 논문에서는 LED를 이용한 가시광 통신이 가능함을 보이고, Micro Controller PIC 16F877chip을 이용한 통신 모듈을 설계 및 제작하였다. 이로써 LED를 조명으로 사용할 뿐만 아니라 그것을 장착한 휴대기기 간의 단거리 가시광 통신이 가능함을 보이고, LED의 효율적인 사용의 한 방법을 제시하고자 한다.
Newly Regularized LDA for SSS Problem with application to Face Recognition
곽려혜(Lee Hui Kueh),김권우(Kwon-Woo Kim),한동열(Dong-Yeol Han),이승호(Seung-Ho Lee),이준탁(John-Tark Lee),이권순(Kwon-Soon Lee) 대한전기학회 2010 대한전기학회 학술대회 논문집 Vol.2010 No.7
A newly proposed FR (Face Recognition) approach with a weighted regularization parameter based on the conventional R-LDA (Regularized Linear D iscriminant A nalysis) method was presented in this paper. SSS (Sm all Sample Size) problem refers to the total number of training samples is less than the dimension of face feature space and all the scatter matrices of LDA are singular. Therefore, it is impossible to apply the LDA algorithm to the FR. In this paper, it was attempted to optimize the revised Fisher's criterion with a weighted regularization parameter as a solution of the SSS problem. Simulations using ORL (Olivetti Research Lab) database in MATLAB were simulated in order to evaluate the recognition performance of the proposed FR. In addition, the recognition performance of the proposed approach was compared to the ones of the well-known conventional methods such as Eigenfaces and R-LDA, which were established in this paper.
이승호(Seung-Ho Lee),곽려혜(Lee-Hui Kueh),김권우(Kwon-Woo Kim),한동열(Dong-yeol Han),이준탁(John-Tark Lee) 대한전기학회 2010 대한전기학회 학술대회 논문집 Vol.2010 No.7
This paper is design of synchronous machine using matlab. I did description of a basic attribute numerical formula of a synchronous machine. I used matlab in the above and calculated basic data of the synchronous machine. The input data which I calculated with matlab is the voltage, frequency, power factor, power. and, the output data calculated design size data and data of an efficiency, loss of etc.