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Thyristor의 비대칭 트리거에 의한 부하의 정상상태 해석
이쾌희 울산대학교 1977 연구논문집 Vol.8 No.1
쌍방향성 싸이리스티의 비대칭 트리거에 의한 부하의 특성을 해석하고 부하에 의한 부하의 특성을 해석하고 부하의 역률에 대하여 알아보았다. 또한 전력, 의형률 그리고 기본파의 역률을 계산했다. The load wave forms produced by asymmetrical triggering of an inverse-parallel connected pair of thyristors are analyzed. The power factor of the circuits is studied and its relationship to power, distortion factor and fundamental power factor is given.
Runge Kutta Method를 이용한 평가지표에 관한 연구
이쾌희,정천석 울산대학교 1976 연구논문집 Vol.7 No.1
본 논문에서는Runge Kutta Method를 사용하여 평가지표를 계산하고 또 시스템을 설계하는데 있어서 그 값을 최소화 시키는 시스템의 Parameter를 결정하는데 필요한 프로그래밍을 개발하였다. 3계 시스템에 한해서 결과를 냈지만 다른 경우에도 대동소이하게 이용할 수 있다. This study involves the computation result for the performance criteria by Runge Kutta Method and the programming of the determination of parameters which minimize the performance criteria, which is essential for the system design. This paper covers only third order systems but it will be applicable for other systems.
박찬응,이쾌희 대한전자공학회 1996 전자공학회논문지-B Vol.b33 No.4
In continuous speech recognition system, it is possible to implement the system which can handle unlimited number of words by using limited number of phonetic units such as phonemes. Dividing continuous speech into the string of tems of phonemes prior to recognition process can lower the complexity of the system. But because of the coarticulations between neiboring phonemes, it is very difficult ot extract exactly their boundaries. In this paper, we propose the algorithm ot extract short terms which can represent each phonemes instead of extracting their boundaries. The short terms of lower spectral change and higher spectral chang eare detcted. Then phoneme changes are detected using distance measure with this lower spectral change terms, and hgher spectral change terms are regarded as transition terms or short phoneme terms. Finally lower spectral change terms and the mid-term of higher spectral change terms are regarded s the represent each phonemes. The cepstral coefficients and weighted cepstral distance are used for speech feature and measuring the distance because of less computational complexity, and the speech data used in this experimetn was recoreded at silent and ordinary in-dorr environment. Through the experimental results, the proposed algorithm showed higher performance with less computational complexity comparing with the conventional segmetnation algorithms and it can be applied usefully in phoneme-based continuous speech recognition.
성홍석,이쾌희 대한전자공학회 1997 電子工學會論文誌, S Vol.s34 No.9
In this paper, we describe the algorithm which controls an unknown nonlinear system with disturbance a using multilayer neural network. The multilayer neural network can be used to approximate any continuous function to any desired degree of accuracy. With the former fact, we approximate an unknown nonlinear system by using of multilayer neural netowrk. WE include a disturbance among the modelling error, and the weight-update rule of multilayer neural network is derived to satisfy Laypunov stability. The whole control system constitutes controller using the feedback linearization method. The weight of neural network which is used to implement nonlinear function is updated by the derived update-rule. The proposed control algorithm is verified through computer simulation.