• 대한기계학회논문집A
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• 제35권11호
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• pp.1529-1535
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• 2011

해상 운송 분야와 발전 플랜트 분야에서 사용되는 엔진은 저 중속에서 운전효율향상이 계속해서 요구되고 있다. 엔진의 운전효율향상을 위해서는 엔진상태를 나타내는 변수의 확인이 반드시 필요하다. 지금까지 가스압력, 가스온도, 진동 등이 주요변수로써 제안되고 있으나 이 변수들은 응답속도와 진단 정확성에 한계가 있다. 본 연구에서는 엔진 크랭크 축 각속도 변화를 수치화한 EFR(Engine Fitness Ratio)을 검출하고, 이를 기반으로 엔진의 상태를 진단하는 기법을 개발하였다. EFR은 주파수 영역에서 특정 주파수의 비로써 정의되며 엔진상태를 나타낸다. EFR은 크랭크 각속도의 변화 거동으로부터 계산되며, EFR을 이용한 엔진 상태진단 기법을 실제 선박 추진용 저속엔진을 이용한 실험과 발전용 중속엔진을 이용한 해석을 수행하여 엔진의 이상 발생 감지가 가능함을 검증하였다.

• 한국수산과학회지
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• 제45권6호
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• pp.666-674
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• 2012

We examined the cause of a disease outbreak in adult olive flounder Paralichthys olivaceus, which occurred at a Korean aquaculture farm in Korea in 2011. The principal signs included an expanded abdomen and congested liver, with persistent mortality (a little over two months). At the beginning of the outbreak, farm administrators misjudged the disease as bacterial in origin, because of the aforementioned signs, persistent mortality, and the detection of bacterial species, including Vibrio spp. and Streptococcus spp. Moreover, the detection of viral hemorrhagic septicemia virus (VHSV) by reverse trasnscription-PCR analysis was complicated by use of the VHS-VN primer set, which has been in general use recently, because it produced weak bands in some samples. Therefore, we recommend the use of at least two different primer sets in the diagnosis of VHSV. Our histopathological findings indicate that necrotizing myocarditis could be considered a pathogenic sign of VHSV infection.

• 한국항공우주학회지
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• 제40권12호
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• pp.1040-1047
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• 2012

본 논문에서는 소형 고정익기의 고장 발생시기와 부품 교체시기를 예측하여 유지보수 비용을 절감하고 정비 효율을 높이기 위하여 ANPSD와 PCA, 그리고 GC 방법을 이용하여 조종면의 고장에 대하여 이를 검출하고 위치와 정도를 분리하는 알고리즘을 제안하였다. 이때 ANPSD는 주파수 영역에서의 진동 분석을, PCA는 ANPSD의 중요 정보 추출을, GC는 고장 검출 및 분리 시의 오류 최소화를 위하여 사용되었다. 또한 모형 항공기에 가속도 센서를 부착하여 정상인 경우와 힌지 고장이 발생한 경우에 대하여 실제로 측정한 결과에 이와 같은 알고리즘을 적용한 결과 해당 알고리즘이 고장을 검출하고 분리하는 데에 적합함을 보였으며 제안된 알고리즘을 적용할 경우에 발생 가능한 문제들에 대하여 이를 완화할 수 있는 대응책을 함께 제시하였다.

• 한국근적외분광분석학회:학술대회논문집
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• 한국근적외분광분석학회 2001년도 NIR-2001
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• pp.1244-1244
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• 2001

In linear discriminant analysis there are two important properties concerning the effectiveness of discriminant function modeling. The first is the separability of the discriminant function for different classes. The separability reaches its optimum by maximizing the ratio of between-class to within-class variance. The second is the stability of the discriminant function against noises present in the measurement variables. One can optimize the stability by exploring the discriminant variates in a principal variation subspace, i. e., the directions that account for a majority of the total variation of the data. An unstable discriminant function will exhibit inflated variance in the prediction of future unclassified objects, exposed to a significantly increased risk of erroneous prediction. Therefore, an ideal discriminant function should not only separate different classes with a minimum misclassification rate for the training set, but also possess a good stability such that the prediction variance for unclassified objects can be as small as possible. In other words, an optimal classifier should find a balance between the separability and the stability. This is of special significance for multivariate spectroscopy-based classification where multicollinearity always leads to discriminant directions located in low-spread subspaces. A new regularized discriminant analysis technique, the principal discriminant variate (PDV) method, has been developed for handling effectively multicollinear data commonly encountered in multivariate spectroscopy-based classification. The motivation behind this method is to seek a sequence of discriminant directions that not only optimize the separability between different classes, but also account for a maximized variation present in the data. Three different formulations for the PDV methods are suggested, and an effective computing procedure is proposed for a PDV method. Near-infrared (NIR) spectra of blood plasma samples from mastitic and healthy cows have been used to evaluate the behavior of the PDV method in comparison with principal component analysis (PCA), discriminant partial least squares (DPLS), soft independent modeling of class analogies (SIMCA) and Fisher linear discriminant analysis (FLDA). Results obtained demonstrate that the PDV method exhibits improved stability in prediction without significant loss of separability. The NIR spectra of blood plasma samples from mastitic and healthy cows are clearly discriminated between by the PDV method. Moreover, the proposed method provides superior performance to PCA, DPLS, SIMCA and FLDA, indicating that PDV is a promising tool in discriminant analysis of spectra-characterized samples with only small compositional difference, thereby providing a useful means for spectroscopy-based clinic applications.

• 대한세포병리학회지
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• 제7권2호
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• pp.138-143
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• 1996

The diagnostic accuracy of routine cytological preparations from effusions ranges from 60% to 70%. Immunohistochemical markers, especially tumor-associated antigens, have been successfully employed to increase diagnostic sensitivity in effusion cytology. However, more than two different antibodies in diagnosis of effusions are needed. In the view of prevalence of abnormalities of p53 gene in human malignancies we investigated the diagnostic usefulness of demonstration of p53 protein immunoreactivity in distinguishing benign changes versus malignant processes in effusions. p53 protein expression was studied immunohistochemically in 76 effusions(28 malignant and 48 benign) using anti-human p53 antibody p53 immunoreactivity was identified in 19 of 28(67.9%) malignant effusions. In contrast, no p53 immunoreactivity was observed in all benign effusions. A specificity of 100% and a sensitivity of 67.9% were observed. These results suggest that immunohistochemical detection of p53 protein seems to be helpful in distinguishing benign changes versus malignant processes in effusions, although its principal limitation is its relatively low sensitivity.

• Advances in pediatric surgery
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• 제5권2호
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• pp.152-158
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• 1999

Adrenal cortical tumors are rare in adults and children. Most are malignant and functional. The principal clinical features are virilization, Cushing's syndrome, hyperaldosteronism and feminization. Recently, we treated a case of virilizing adrenal cortical tumor in a 26 month-old boy. The diagnosis was made by hormone assay, abdominal CT and tissue pathology. Right adrenalectomy was successful performed. Pathologic examination revealed an adrenal cortical adenoma with vascular invasion.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2006년도 춘계학술대회 학술발표 논문집 제16권 제1호
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• pp.208-211
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• 2006

본 논문에서는 3상 유도전동기의 고장진단을 수행하기 위해 패턴인식에 기반을 둔 진단 알고리즘을 제안한다. 실험 장치는 유도전동기 구동의 고장신호를 얻기 위하여 구축하였으며, 취득된 데이터를 이용하여 진단 알고리즘을 구축하였다. 취득된 데이터 중에서 진단을 위해 사용될 훈련데이터는 퍼지 기반 클러스터링 기법을 이용하여 신뢰성 높은 데이터를 선택하여 고장별 신호를 추출하였다. 진단 알고리즘으로는 데이터를 주성분 분석기법을 적용하였으며, 최종 분류를 위해 Euclidean 기반 거리척도 기법을 이용하였다. 다양한 부하 및 고장신호에 대하여 제안된 방법을 적용하여 타당성을 검증하였다.

• Clinical and Experimental Pediatrics
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• 제49권8호
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• pp.898-901
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• 2006

소아에서 교착성 심낭염은 매우 드문 질환으로 이에 의하여 단백 소실성 장병증이 동반되는 경우는 더욱 드물다. 저자들은 교착성 심낭염의 주요 증상의 하나로 단백 소실성 장병증을 보인 여아 1례를 경험하였기에 문헌고찰과 함께 보고하는 바이다.

• 반도체디스플레이기술학회지
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• 제2권1호
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• pp.15-19
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• 2003

Spin etcher can process frontside and backside on the wafer, which is used for etching, stripping, cleaning and wafer reclamation. A new generation of spin etchers has been designed to meet 300mm wafer processing. The larger header and higher spin speed make vibration problem a severe problem in developing equipments. This study shows schematic process of solving practical vibration problems, where it is required to analyze the principal ca uses of vibration problem and find out the method of vibration reduction in spin etcher. The vibration under normal operation is measured in time domain and is analyzed in frequency domain. And modal parameters are obtained through modal test. Using the modal parameters from experiments, the model of finite element method is formulated. From diagnosis using many measurements and analyses, it can be shown that main cause of vibration is unbalance of head.

• 대한기계학회논문집B
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• 제32권5호
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• pp.400-405
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• 2008

Air-operated valve is one of principal valves that are used to control fluid flow in nuclear power plants. It is necessary to evaluate periodically the performance of the AOV(Air-Operated Valve) which is used for controlling flow and pressure in nuclear power plants. In this study, we developed the integrated program HAES including hardware system to evaluate the performance of AOV. HAES(HANVIT AOV Evaluation System) consists of many modules such as valve information, thrust and torque analysis, actuator analysis, weak analysis and margin analysis. We applied with the test valve and showed that results evaluated by HAES is similar to those offered in the plant.