• 분석과학
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• 제30권5호
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• pp.234-239
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• 2017

화재 현장에서 완전 연소하지 않은 잔류물의 성분을 규명하는 것은 화재 원인을 추적하는 중요한 단서가 된다. 화재 현장에서 많이 발견되는 플라스틱 연소 잔류물의 종류를 규명하기 위하여 폴리에틸렌 (Polyethylene, PE) 수지와 Acrylonitrile butadiene styrene (ABS) 수지의 연소 후 잔류물에 관한 연구를 진행 하였다. 콘 칼로리미터 (Cone calorimeter)를 사용하여 플라스틱 시료를 200, 300, 350, 400, $500^{\circ}C$로 각각 3분 동안 연소시킨 후 변화된 무게와 연소생성물을 얻었다. 각 온도에서 얻어진 연소생성물을 동결 건조 후 분쇄한 분말 시료를 FT-near infrared (NIR) spectrometer로 스펙트럼을 측정 하였다. 폴리에틸렌 수지 시료를 연소시켰을 때 $350^{\circ}C$까지는 무게의 변화가 없었으나 $400^{\circ}C$ 이상에서는 급격한 무게의 변화를 측정 할 수 있었다. 각 온도에서 얻어진 폴리에틸렌 수지 및 ABS 수지 시료의 FT-NIR 측정 스펙트럼을 주성분 분석(Principle component Analysis, PCA)를 통해서 연소 잔유물이 폴리에틸렌과 ABS 지임을 확인할 수 있었다. 따라서 근적외선 분광법으로 화재현장에서 발견되는 불연소 플라스틱의 종류를 신속하게 확인할 수 있었다.

• 한국인쇄학회지
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• 제18권1호
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• pp.25-33
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• 2000

In recent year, many imaging systems have been developed, and it became increasingly important to exchange image data through the computer network. Therefore, it is required to reproduce color image independently on each imaging device. However, even if the image are same, perceived color is not always same under different viewing conditions. On the other hand, even if the image are different, we want to perceive same color under different viewing conditions. Therefore we must know the spectral reflectance information of object. We measured many reflectance human skin can be estimate using only three principal component. For Munsell color patches, five principle components were necessary to estimate the reflectance spectra. For that purpose, we have developed color image acquisition system that is composed of five band filters and CCD camera. Improved spectral reflectance of object is predicted by five band images taken by color image acquisition system and then we take account of camera's noise and component of object image for predicting accurate spectral reflectance of object. In the results, we confirmed that color difference and MSE(Mean Square Error) between measured and predicted spectral reflectance of object decreased into 0.0071 and 7.72 respectively.

• 대한전자공학회논문지SP
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• 제42권1호
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• pp.25-31
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• 2005

본 논문에서는 컬러 영상에서 Support Vector Domain Description (SVDD)를 이용한 얼굴 검출 방법을 제안한다. 기존의 훈련을 통한 얼굴 검출 방법은 얼굴 영상과 얼굴이 아닌 영상을 모두 사용해야 한다. 그러나, SVDD를 이용한 얼굴 검출은 단지 훈련을 위해 얼굴 영상만이 사용된다. SVDD의 훈련을 통해 나오는 값인 반지름과 중심 좌표를 통해 얼굴을 검출한다. 또한, 엔트로피를 이용한 임계값 추출 방법(Entropic Threshold)을 통해 얼굴 특징을 추출하고, 슬라이딩 윈도우(sliding window)기법을 통해 성능을 개선한다. 주성분 분석(Principle Component Analysis) 과 SVDD를 이용한 얼굴 검출 방법의 비교 실험을 통해 본 논문이 제안한 방법의 효율성을 확인한다.

• 한국조리학회지
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• 제20권5호
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• pp.34-42
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• 2014

The study explores the sensory properties of Backsulgi prepared with dry non-glutinous rice flour sweetened with various sweeteners(sugar, honey, oligosaccharide, trehalos, erythritol and accesulfame K). Sensory attributes of Backsulgi were evaluated by quantitative descriptive analysis(QDA), PCA and PLSR. The QDA results revealed that the sample sweetened with trehalose showed highest value in dryness, and samples with accesulfame K, honey and erythriol had relatively high levels in moisture and springiness. Principle component analysis (PCA) results showed 78.89 % of the total variation with PC1 (54.92%) and PC2 (23.98%), respectively. The samples with accesulfame K(AF) and honey, which showed high values in moisture level, springiness and sweet taste, showed similar attributes which led to a positive direction of PC1. The correlation between the sensory attributes and consumer acceptance showed that the most important factors for high consumer acceptance were moistness, springiness, sweet taste and sweet flavor. Overall, the samples with accesulfame K(AF) had the closest position in the PLSR results with highest overall consumer satisfaction.

• 한국정보통신학회논문지
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• 제15권7호
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• pp.1439-1446
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• 2011

본 논문에서는 고차 상관 특정 정보와 주성분 분석을 결합하여 차원을 낮추면서도 객체 인식을 유지하고, 고유 공간 구성 시간을 현저하게 줄이는 알고리즘에 대해 기술한다. 제안된 방법은 기존의 기하학적 정보를 이용하거나 스테레오 영상을 이용하는 방법에 비해 많은 계산량이 요구되지 않기 때문에 실시간 시스템 구축에 매우 적합하다는 것이 실험을 통하여 증명되었다. 또한 인식률을 향상시키기 위해 단순히 기존의 방법인 point to point 방식인 단순 거리 계산은 오차가 많기 때문에 본 논문에서는 개선된 Class to Class방식인 K-Nearest Neighbor을 이용하여 몇 개의 연속적인 입력영상을 인식의 단위로 이용하여 인식 오차를 줄일 수 있었다.

• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 2001년도 기술교육위원회 창립총회 및 학술대회 의료기기전시회
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• pp.82-88
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• 2001

Manufactured easy elevator can drives from the first floor to fifth floor as sequence control circuit in cause opening than existing equipment of experiment and practice, the structure of in the first implementation process are hand-worked control component with push-button, L/S and relay, it is structured a lamp to express that the door open and moving of cage by mechanical action of For/Rev motor-braker of which load. The second structure of implement process to control from the first floor to the fifth floor with the PLC elevator program can control by the sensor of hand-operated function of L/Sl~L/S5 in time that the S/Wl~S/W5 of PLC control panel operates to the For/Rev. The function of two kind process that an elevator is driven by PLC program and the sequence control relay circuit is a mechanical relay sequence control field and it is equipment apparatus of it to get appropriately the technology of For/Rev in that mechanical operating cause of a load using the PLC program. Also the wring circuit using a plug, dissembly. the circuit and the principle of component, and PLC program with the function test can be used the implementation field to the total technology theory about FA.

• 식물분류학회지
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• 제41권3호
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• pp.223-229
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• 2011

The taxonomy of the Isodon excisus complex has been ambiguous and problematic because the morphological characters, especially characters related to the leaf distinguishing subgroups of the complex in the original descriptions, are variable. To elucidate the taxonomic structure of the I. excisus complex in Korea, 34 characters were measured from 70 OTUs representing different locations and analyzed by principal component analysis (PCA). The analysis showed that principle component axis 1, 2, 3 (PC1, PC2, PC3) represents 52.0% of the total variance and characters showing high loading values for PC1 were leaf shape, density of non-glandular hairs on the lower surface of the leaf, and characters related to the teeth of the leaf. The length of apical tooth and the angle between two widest points of the leaf were highly correlated to PC2 and PC3, respectively. Three-dimensional scatter plotting of OTUs for PC1, PC2, and PC3 axis showed that the areas of previously recognized three subgroups of I. excisus completely overlapped. Our result supported that just one taxon, I. excisus var. excisus, should be recognized in the complex at the variety level.

• 한국추진공학회지
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• 제14권3호
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• pp.39-51
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• 2010

실제 기체 상태 방정식에 대한 이론적 원리가 조사되었으며 초임계 조건을 포함한 다양한 압력과 온도 조건에서 액체 로켓 엔진의 추진제로서 사용되는 산소, 수소, 메탄의 열역학적 상태량에 대하여 비교 연구되었다. 또한 이상 기체 상태 방정식을 적용하였을 경우와 실제 기체 상태 방정식(SRK 상태 방정식과 PR 상태 방정식 및 ECS 원리)을 적용하였을 경우의 열역학적 상태량에 대한 비교 연구가 수행되었다. 단일 성분이 액상인 영역에서의 열역학적 상태량 차이가 관찰되었으며 오차 범위에 대한 결과가 고찰되었다.

• 상하수도학회지
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• 제29권6호
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• pp.625-632
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• 2015

The study of water environment system using a multivariate analysis in Changnyeong-Haman weir section has been conducted. The purpose of this study is to establish better understanding related water qualities in the Changnyeong-Haman weir section which can provide useful information. The data were consisted of water quality data and algae data including WT(water temperature), pH, DO, EC, COD, SS, T-N, $NH_3-N$, T-P, $PO_4-P$, Chl-a, TOC, d-silica, t-silica, Cyanobacteria, Diatoms, and Green algae. Statistical analyses used in this study were correlation analysis, principal components, and factor analysis. According to correlation analysis on COD and TOC, it revealed that the each value of correlation coefficient was 0.843. On the other result, a negative correlation was observed between diatoms and d-silica. Furthermore, the results of principal component analysis to the overall water quality were classified into four main factors with contribution rate 81.071%.

• International Journal of Contents
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• 제8권1호
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• pp.23-29
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• 2012

Multiple expression levels of genes obtained using time series microarray experiments have been exploited effectively to enhance understanding of a wide range of biological phenomena. However, the unique nature of microarray data is usually in the form of large matrices of expression genes with high dimensions. Among the huge number of genes presented in microarrays, only a small number of genes are expected to be effective for performing a certain task. Hence, discounting the majority of unaffected genes is the crucial goal of gene selection to improve accuracy for disease diagnosis. In this paper, a non-Gaussian weight matrix obtained from an incremental model is proposed to extract useful features of multivariate time series microarrays. The proposed method can automatically identify a small number of significant features via discovering hidden variables from a huge number of features. An unsupervised hierarchical clustering representative is then taken to evaluate the effectiveness of the proposed methodology. The proposed method achieves promising results based on predictive accuracy of clustering compared to existing methods of analysis. Furthermore, the proposed method offers a robust approach with low memory and computation costs.