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전문조작원 유무에 따른 사상체질 음성진단의 신뢰성 분석
박현준,김종열,장준수,Park, Hyun Jun,Kim, Jong-Yeol,Jang, Jun-Su 사상체질의학회 2016 사상체질의학회지 Vol.28 No.4
Objectives This study was aimed to analyze the reliability of vocal features and probabilities for being in Sasang constitutional types calculated from Sasang constitutional voice diagnosis system according to operator presence. Methods We acquired 96 voice recordings from one male and one female for 4 days. For the first 2 days, the subjects recorded their voice by themselves. For the last 2 days, they recorded according to the instruction of an operator following the standard operating procedure. We analyze the standard deviations of vocal features, probabilities for being three constitutional types, Tae-Eum (TE), So-Yang (SY), and So-Eum (SE) Results In the case of the female, coefficients of variations of the voice variables and the probabilities for being each constitutional type were all within 20%. In the case of the male, coefficients of variations were all within 20% except one variable. Even if there was no instruction from the operator, standard deviations of the probability did not increase for both genders. When recorded without the operator, for male, the probability for being SE decreased by 3.2%. For female, the probability for being TE increased by 5.438%, and that of SE decreased by 3.057%, and that of SY decreased by 2.394%. Conclusions When recorded without operators, for men, there was a significant difference in the probability for being SE. And for women, there were significant differences in the probabilities for all constitutional types.
뉴로내비게이션 시스템 표면정합에 대한 병변 정합 오차의 회전적 특성 분석: 팬텀 연구
박현준,문정환,유학제,신기영,심태용,Park, Hyun-Joon,Mun, Joung Hwan,Yoo, Hakje,Shin, Ki-Young,Sim, Taeyong 대한의용생체공학회 2016 의공학회지 Vol.37 No.2
In this study, we investigated the rotational characteristics which were comprised of directionality and linearity of target registration error (TRE) as a study in advance to enhance the accuracy of contour-based registration in neuronavigation. For the experiment, two rigid head phantoms that have different faces with specially designed target frame fixed inside of the phantoms were used. Three-dimensional coordinates of facial surface point cloud and target point of the phantoms were acquired using computed tomography (CT) and 3D scanner. Iterative closest point (ICP) method was used for registration of two different point cloud and the directionality and linearity of TRE in overall head were calculated by using 3D position of targets after registration. As a result, it was represented that TRE had consistent direction in overall head region and was increased in linear fashion as distance from facial surface, but did not show high linearity. These results indicated that it is possible for decrease TRE by controlling orientation of facial surface point cloud acquired from scanner, and the prediction of TRE from surface registration error can decrease the registration accuracy in lesion. In the further studies, we have to develop the contour-based registration method for improvement of accuracy by considering rotational characteristics of TRE.
박현준,차의영,Park, Hyun-Jun,Cha, Eui-Young 한국정보통신학회 2007 한국정보통신학회논문지 Vol.11 No.6
본 논문에서는 신경회로망 알고리즘 중 하나인 backpropagation network을 이용한 악보인식 기법과 그에 필요한 악보 영상에 대한 전처리 기법을 제안한다. 전처리과정으로 이진화, 기울기 보정, 오선제거 등의 과정을 수행하여 인식에 필요한 음악 기호와 음표를 분리한다. 분리된 음악 기호와 음표들은 backpropagation 알고리즘을 사용하여 구성된 음표 인식 신경망과 비음표 인식 신경망을 통해 각각 음표와 비음표 인식과정을 거친다. 다양한 복잡도를 가진 악보를 대상으로 한 실험 및 분석 결과를 통해 제안한 악보 인식 기법의 정확도를 기술하였다. This paper presents techniques to recognize music using back propagation network one of the neural network algorithms, and to preprocess technique for music mage. Music symbols and music notes are segmented by preprocessing such as binarization, slope correction, staff line removing, etc. Segmented music symbols and music notes are recognized by music note recognizing network and non-music note recognizing network. We proved correctness of proposed music recognition algorithm though experiments and analysis with various kind of musics.