• Journal of Oral Medicine and Pain
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• 제8권1호
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• pp.121-126
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• 1983

This study is conducted with a view to make correct sexual differentiation by the utilization of discriminant functions. For that purpose were randomly sampled out 148 young adults testes, comprising 67 males and 81 females, ranging from 15 through 18 years fo age. Based on the values made available from the measurement of 6 items corresponding to the maxillary cast models, a statistical analysis was made to abstract feasible discriminant functions. The results findings are as follows: 1. The mean value by sex indicates, in all items, higher one in male group than in female group. 2. Through the measurement were defined as singnificant items in sexual differentiation the bucco-lingual dimensions of canine, 1st-molar, 2nd molar, and 1st bimolat width. 3. Derived from the value from measurement items were discriminant functions with the intention of applying them to sexual differentiation, as follows: 1) Y=-25.4112+0.7513BL3+0.3298BL4-0.2854BL5+0.7350BL6-0.3482BL7+0.2893AW (as tested by Method I) 2)Y=-25.0628+0.7737BL3+0.7468BL6-0.3885BL5+0.2951AW(as tested by Method II) BL3 : Bucco-lingual dimension of upper canine BL4 : Bucco-lingual dimension of upper first prmolar BL5 : Bucco-lingual dimension of upper second premolar BL5 : Bucco-lingual dimension of upper first molar BL6 : Bucco-lingual dimension of upper second molar AW : Upper first bimolar width 4. Sexual defferentiation in terms of descriminant functions represented a probility of 74.6%.

• 동의생리병리학회지
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• 제18권6호
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• pp.1938-1944
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• 2004

In this study, when we make a diagnosis of constitution using QSCC Ⅱ(Questionnaire of Sasang Constitution Classification). data mining techniques are applied to seek the classification function for improving the accuracy. Data used in the analysis are the questionnaires of 1051 patients who had been treated in Dong Eui Oriental Medical Hospital and Kyung Hee Oriental Medical Hospital. The criteria for data cleansing are the response pattern in the opposite questionnaires and the positive proportion of specific questionnaires in each constitution. And the criteria for variable selection are the test of homogeneity in frequency analysis and the coefficients in the linear discriminant function. Discriminant analysis model and decision tree model are applied to seek the classification function into Sasang constitution. The accuracy in learning sample is similar in two models, the higher accuracy in test sample is obtained in discriminant analysis model.

• Natural Product Sciences
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• 제24권3호
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• pp.164-170
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• 2018

Rapid geographical classification of Bupleuri Radix is important in quality control. In this study, near infrared spectroscopy (NIRS) combined with supervised pattern recognition was attempted to classify Bupleuri Radix according to geographical origins. Three supervised pattern recognitions methods, partial least square discriminant analysis (PLS-DA), quadratic discriminant analysis (QDA) and radial basis function support vector machine (RBF-SVM), were performed to establish the classification models. The QDA and RBF-SVM models were performed based on principal component analysis (PCA). The number of principal components (PCs) was optimized by cross-validation in the model. The results showed that the performance of the QDA model is the optimum among the three models. The optimized QDA model was obtained when 7 PCs were used; the classification rates of the QDA model in the training and test sets are 97.8% and 95.2% respectively. The overall results showed that NIRS combined with supervised pattern recognition could be applied to classify Bupleuri Radix according to geographical origin.

• 대한교통학회지
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• 제23권5호
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• pp.65-71
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• 2005

지역유형(area type)은 물류수요의 잠재력(potential)과 밀접한 관련이 있다. 물류계획분야에서 지역유형 변수는 특히 발생모형(generation model)에서 물류유입(freight attraction)을 설명하는 모형변수로, 또한 수송수단선택모형(mode choice model)의 모형변수로 포함되는 것이 최근 선진국의 물류계획 실무분야에서 일반적인 추세이다. 하지만 지역유형은 그 동안 개념적으로 명확히 정의되지 못하였으며, 분석모형의 맥락에서 지역유형의 계량적 추정을 다룬 선행연구는 거의 없었다고 할 수 있다. 이런 이유 때문에 중/장기 물류수요예측 및 물류계획에 있어서 인구와 고용의 변화가 지역유형을 어떻게 변화시킬지에 관한 장기적인 예측을 하는 것이 어려웠다. 따라서 본 연구는 물류시설 SOC사업의 성공적 추진을 위하여 물류수요예측의 신뢰수준을 제고하는 데 있어 꼭 필요하고 시급한 연구로서 지역유형(area type)을 고려한 물류수요의 잠재력(potential)분석 방법을 제시하였다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2004년도 Proceedings of ISRS 2004
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• pp.622-625
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• 2004

This paper presents multi-source spatial data integration models based on probability theory for landslide hazard assessment. Four probabilistic models such as empirical likelihood ratio estimation, logistic regression, generalized additive and predictive discriminant models are proposed and applied. The models proposed here are theoretically based on statistical relationships between landslide occurrences and input spatial data sets. Those models especially have the advantage of direct use of continuous data without any information loss. A case study from the Gangneung area, Korea was carried out to quantitatively assess those four models and to discuss operational issues.

• 한국지능시스템학회논문지
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• 제14권6호
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• pp.783-788
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• 2004

영상에서 얼굴이 있는 위치를 찾거나 얼굴을 검출하기 위한 많은 방법들이 연구되고 있다. 영상에서 얼굴 검출은 얼굴의 크기, 얼굴이 있는 위치, 그리고 다양한 포즈, 조명 상태 등의 변화에 따라 달라진다 따라서 얼굴 검출과 인식에 있어서의 어려운 점은 얼굴의 크기와 위치, 거리, 조명, 포즈 때문에 나타나는 것이다. 본 논문에서는 다양한 얼굴 크기와 얼굴이 있는 위치 등에 강인한 얼굴 검출을 위해 피셔의 선형 판별 함수를 이용하는 방법을 제안한다. 선형 판별식을 이용하여 효과적으로 얼굴을 검출하기 위해서는 학습 방법 및 학습에 사용되는 데이터들의 구성이 중요하다. 그 이유는, 얼굴 검출을 위해 사용되는 학습 데이터들은 조명과 포즈에 영향을 받기 때문에 얼굴의 특징들을 반영하는 학습 데이터들의 구성이 중요하다. 따라서 본 논문에서는 복잡한 배경과 다양한 크기의 얼굴을 검출하기 위한 계층적인 방법을 제시하며, 효과적인 피셔 판별 분석을 위하여 얼굴과 비얼굴 학습 데이터의 효율적인 분류 방법을 제안한다.

• Journal of the Korean Data and Information Science Society
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• 제20권4호
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• pp.757-764
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• 2009

In discriminant analysis, we consider a special pattern which contains a block of missing observations. We assume that the two populations are equally likely and the costs of misclassification are equal. In this situation, we consider the bootstrap confidence intervals of the error rate in the circular models when the covariance matrices are equal and not equal.

• Communications for Statistical Applications and Methods
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• 제10권3호
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• pp.909-917
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• 2003

Although many classification models have been used to classify binary data, none of the classification models dominates all varying circumstances depending on the number of variables and the size of data(Asparoukhov and Krzanowski (2001)). This paper proposes a classification model which uses information on marginal distributions of sub-variables and its maximum entropy distribution. Classification experiments by using simulation are discussed.

• 전자공학회논문지 IE
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• 제45권2호
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• pp.34-39
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• 2008

본 논문은 통계 기법인 판별 분석 함수를 이용하여 효율적으로 3차원 모델을 검색하는 시스템을 구현하였다. 제안한 방법은 판별분석 함수를 이용하여 색인으로 검색하는 기법으로, 색인의 생성은 Osada의 D2방법에 의해 추출된 128개의 특징벡터에 통계치(범위, 최소값, 평균, 표준편차, 왜도, 척도)를 변수로 판별분석 함수의 값을 색인 값으로 생성하였다. 쿼리 모델 검색 시 1차 검색으로 쿼리와 저장된 클래스(동종의 모델 그룹)의 색인을 비교하여 상위 2%이내(98% 이상)의 클래스를 추출하여 추출된 클래스에 속하는 모델만을 검색하였다. 이 방법은 검색시간을 단축시키는 효율적인 검색 기법임을 구현을 통해 알 수 있었다. 제안한 방법은 기존의 방법(Osada)보다 3차원 모델 검색 시간을 57%로 단축시켰으며, 쿼리 모델 검색 시 유사모델이 최초로 발견되는 정확도(pecision)가 0.362로 기존의 방법보다 44.8%의 효율이 있었음을 알 수 있었다.

• Journal of Biosystems Engineering
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• 제42권4호
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• pp.293-300
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• 2017

Purpose: This study aims to propose a method for fast geographical origin discrimination between domestic and imported rice using a visible/near-infrared (VNIR) hyperspectral imaging technique. Methods: Hyperspectral reflectance images of South Korean and Chinese rice samples were obtained in the range of 400 nm to 1000 nm. Partial least square discriminant analysis (PLS-DA) models were developed and applied to the acquired images to determine the geographical origin of the rice samples. Results: The optimal pixel dimensions and spectral pretreatment conditions for the hyperspectral images were identified to improve the discrimination accuracy. The results revealed that the highest accuracy was achieved when the hyperspectral image's pixel dimension was $3.0mm{\times}3.0mm$. Furthermore, the geographical origin discrimination models achieved a discrimination accuracy of over 99.99% upon application of a first-order derivative, second-order derivative, maximum normalization, or baseline pretreatment. Conclusions: The results demonstrated that the VNIR hyperspectral imaging technique can be used to discriminate geographical origins of rice.