• Korean Journal of Pharmacognosy
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• v.39 no.4
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• pp.330-334
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• 2008

Shin Kwae Hwan(神快丸) is a Chinese patent medicine which has been used for polymyositis, trigeminal neuralgiaand ischiodynia in Korea. It consists of 15 kinds of powdered crude drugs. In powered crude drugs, it is hard to identify each component by chemical analysis or morphological examination. However, the method of identification of powdered crude drugs has not been clearly established. For the identification of individual crude drugs in such powdery mixtures, microscopic method may advantageously be used, as it requires only small amount of specimens. In this study, it is demonstrated that the microscopic method is very effective for the identification of 15 crude drug ingredients in Shin Kwae Hwan.

• Korean Journal of Pharmacognosy
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• v.37 no.3
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• pp.196-199
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• 2006

'An Che Whan(安滯九)' is a Chinese patent medicine which has been used for gastric ulcer and digestive disorder in Korea. It consists of 15 kinds of powdered crude drugs. In powdered crude drugs, it is hard to identify each component by chemical analysis or morphological examination. However, the method of identification of powdered crude drugs has not been clearly established. For the identification of individual crude drugs in such powdery mixtures, a microscopic method may be used conveniently as it requires only a small amount of specimens. In this study, it is demonstrated that the microscopic method is very effective fer the identification of the 15 crude drug ingredients in An Che Whan.

• Korean Journal of Pharmacognosy
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• v.39 no.3
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• pp.203-207
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• 2008

Man Kyung Dan(萬經丹) is a Chinese patent medicine which has been used for rheumatic neuralgia, apoplexy, extremitas neurolepsis in Korea. It consists of 16 kinds of powdered crude drugs. In powered crude drugs, it is hard to identify each component by chemical analysis or morphological examination. However, the method of identification of powdered crude drugs has not been clearly established. For the identification of individual crude drugs in such powdery mixtures, microscopic method may advantageously be used, as it requires only small amount of specimens. In this study, it is demonstrated that the microscopic method is very effective for the identification of 16 crude drug ingredients in Man kyung Dan.

• Korean Journal of Pharmacognosy
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• v.36 no.4 s.143
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• pp.278-281
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• 2005

'Hwan So Dan(還少丹)' is Chinese patent medicine which has been used for shortage of vitality and asthenia in Korea. It consists of 14 kinds of powdered crude drugs. In powdered crude drugs, it is hard to identify each component by chemical analysis or morphological examination. However, the method of identification of powdered crude drugs has not been clearly established. For the identification of individual crude drugs in such powdery mixtures, microscopic method may advantageously be used as it requires only a small amount specimens. In this study, it is demonstrated that the microscopic method is very effective for the identification of 14 crude drug ingredients in Hwan So Dan.

• Korean Journal of Pharmacognosy
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• v.37 no.1 s.144
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• pp.11-15
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• 2006

Hwan Myeong Hwan (環明丸) is Chinese patent medicine which is used for presbyopia and eye disease. It consists of 23 kind of powdered crude drugs. In powered crude drugs, it is hard to identify each component by chemical analysis or morphological examination. However, the method of identification of powdered crude drugs has not been clearly established. For the identification of individual crude drugs in such powdery mixtures, microscopic method may advantageously be used as it requires only a small amount of specimens. In this study, it is demonstrated that the microscopic method is very effective for the identification of 23 crude drug ingredients in Hwan Myeong Hwan.

• Korean Journal of Pharmacognosy
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• v.39 no.1
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• pp.43-49
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• 2008

Dae Jeong Hwan (大精丸) is a Chinese patent medicine which has been used for improvement of lassitude, anorexia, and enervation in Korea. It consists of 24 kinds of powdered crude drugs. In powered crude drugs, it is hard to identify each component by chemical analysis or morphological examination. However, the method of identification of powdered crude drugs has not been clearly established. For the identification of individual crude drugs in such powdery mixtures, microscopic method may advantageously be used, as it requires only small amount of specimens. In this study, it is demonstrated that the microscopic method is very effective for the identification of 24 crude drug ingredients in Dae Jeong Hwan.

• Speech Sciences
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• v.10 no.4
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• pp.149-157
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• 2003

In this paper, we proposed the principal component analysis (PCA) fuzzy mixture model for speaker identification. A PCA fuzzy mixture model is derived from the combination of the PCA and the fuzzy version of mixture model with diagonal covariance matrices. In this method, the feature vectors are first transformed by each speaker's PCA transformation matrix to reduce the correlation among the elements. Then, the fuzzy mixture model for speaker is obtained from these transformed feature vectors with reduced dimensions. The orthogonal Gaussian Mixture Model (GMM) can be derived as a special case of PCA fuzzy mixture model. In our experiments, with having the number of mixtures equal, the proposed method requires less training time and less storage as well as shows better speaker identification rate compared to the conventional GMM. Also, the proposed one shows equal or better identification performance than the orthogonal GMM does.

• Smart Structures and Systems
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• v.15 no.4
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• pp.1139-1158
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• 2015

This paper proposes an efficient system identification method for modeling nonlinear behavior of civil structures. This method is developed by integrating three different methodologies: principal component analysis (PCA), artificial neural networks, and fuzzy logic theory, hence named PANFIS (PCA-based adaptive neuro-fuzzy inference system). To evaluate this model, a 3-story building equipped with a magnetorheological (MR) damper subjected to a variety of earthquakes is investigated. To train the input-output function of the PANFIS model, an artificial earthquake is generated that contains a variety of characteristics of recorded earthquakes. The trained model is also validated using the1940 El-Centro, Kobe, Northridge, and Hachinohe earthquakes. The adaptive neuro-fuzzy inference system (ANFIS) is used as a baseline. It is demonstrated from the training and validation processes that the proposed PANFIS model is effective in modeling complex behavior of the smart building. It is also shown that the proposed PANFIS produces similar performance with the benchmark ANFIS model with significant reduction of computational loads.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.12 no.1
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• pp.103-110
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• 1998

The modeling of load characteristics is a difficult problem because of uncertainty of load. This research uses artificial neural networks which can approximate nonlinear problem to represent load characteristics. After the selection of typical load, active and reactive power for the variation of voltage and frequency is obtained from experiments. We constructed and learned ANN based on these data for component load identification. The learned ANN identified load characteristics for other voltage and/or frequency variation. In addition, the results of component load identification are presented to demonstrate the potentiality of the proposed method.method.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2006.06a
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• pp.505-506
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• 2006

PD(partial discharge) occurred from variable PD sources in air may be the cause of breakdown in high voltage equipment which affect huge outage in power system. Identification and localization of PD sources is very important for engineer to cope with huge accident beforhand. PD phenomena can be detected by acoustic emission sensor or electromagnetic sensor like antenna. This paper has investigated the identification method using PCA(principal component analysis) for the PD signals from variable PD sources, for which the electric field distribution and PD inception voltages were simulated by using commercial FEM program. PD signals was detected by ultra wideband antenna. Their own features were extracted as the frequency coefficients transformed with FFT(fast fourier transform) and used to obtain independent pincipal components of each PD signals.