• 대한임상검사과학회지
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• 제39권3호
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• pp.151-155
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• 2007

Diagnosis and prevention of cytogenetics diseases are one of the most important parts in prenatal care. For that reason, it is necessary to examine birth defects. However, there is no reliable statistical data about birth defects in our country. In this study, the ratio of birth defects were determined by cytogenetics analysis and amniocentesis, in addition, the usefulness of amniocentesis was analyzed. The screening test and the triple marker test were conducted for 3,325 pregnant women of between 15 and 22 weeks gestation. Amniocentesis was performed for 170 pregnant women who were positive in the two tests, 184 women of advanced maternal age and 48 women with family history of chromosome aberrations. Among 419 women, 8 pregnant women who were positive in the triple marker test, 1 woman who close to the cut-off value in the triple marker test, 2 women with advanced maternal age and 1 woman who has history of chromosome aberration pregnance that was positive in cytogenetics analysis. The overall incidence of chromosomal aberration was 12 cases including 7 cases of Down's syndrome, 1 case of Patau syndrome, 1 case of Klinefelter syndrome, 1 case of Edward syndrome, 1 case of Robertsonian translocation and 1 case of XYY syndrome. These results show that amniocentesis for pregnant women who need chromosome test in prenatal cytogenetics analysis is very useful.

• Journal of Mechanical Science and Technology
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• 제20권9호
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• pp.1410-1417
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• 2006

The metal processing system usually consists of various components such like motors, work rolls, backup rolls, idle rolls, sensors, etc. Even a simple fault in a single component in the system may cause a serious damage on the final product. It is therefore necessary to diagnose the faults of the components to detect and prevent system failure. Especially, the defects in a work roll are critical to the quality of strip. It is especially difficult to detect faults of a roll by using the existing frequency analysis method if the speed of the roll is changing. In this study, a new diagnosis method for roll eccentricity under the roll speed changes was developed. The new method was induced from analyzing the rolling mechanism by using rolling force models, radius-speed relationship, and measured rolling force, etc. Simulation results by using the field data show that the proposed method is very useful.

• Journal of Electrical Engineering and Technology
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• 제2권4호
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• pp.461-467
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• 2007

The paper describes a way to diagnose machine condition based on the expert system. In this paper, an expert system-decision tree is built and experimented to diagnose and to detect machine defects. The main objective of this study is to provide a simple way to monitor machine status by synthesizing the knowledge and experiences on the diagnostic case histories of the rotating machinery. A traditional decision tree has been constructed using vibration-based inputs. Some case studies are provided to illustrate the application and advantages of the decision tree system for machine fault diagnosis.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제2권3호
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• pp.191-193
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• 2002

Insulation aging diagnosis system provides early warning in regard to electrical equipment defects. Early warning is very important in that it can avoid great losses resulting from unexpected shutdown of the production line. For solving this problem, many researchers proposed a method that diagnose power plant by using partial discharge. In this paper, we design the intelligent sensor to diagnose insulation degradation state that uses a Microprocessor and Al. Proposed sensor has MCU that is used to diagnose insulation degradation and communicate with main IDD system. And we use a fuzzy model to diagnose insulation degradation.

• Journal of Chest Surgery
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• 제28권7호
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• pp.698-703
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• 1995

Dextrocardia means right-sided position of the heart in the chest irrespective of the cause. For the absolute diagnosis of the dextrocardia, the segmental analysis of heart is necessary. Once the segmental analysis of the dextrocardia is made, it is often relatively easy to identify the presence of any associated defects based on conventional methods including physical examination, EKG, echocardiography, and angiocardiography. Two cases of dextrocardia with congenital heart disease were treated surgically.A eleven - months old boy was operated under diagnosis of ASD, VSD, and bilateral SVC with mirror - image dextrocardia {I,L,I} by primary closure of ASD and VSD.A twenty-four months old girl was operated under diagnosis of ASD, VSD, and PS with corrected TGA {I,D,D} by primary closure of ASD, VSD and dilatation of pulmonary stenosis. Both of them were discharged healthily after operation.

• 한국정밀공학회지
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• 제12권11호
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• pp.82-90
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• 1995

This paper pressents a condition-based maintenance (CBM) method through bibration analysis. The well known frequency analysis is employed for performing machine fault diagnosis. The statistical control chart is also applied for analyzing the trend of the bearing wear. Vibration sensors are attached to prototype machine and signals are continuously monitored. The sampled data are utilized to evaluate how well the fast fourier transform(FFT) and the statistical control chart techniques could be used to identify defects of machine and to analyze the machine degradation. Experimental results show that the propowed approach could classify every mal-function and could be utilized for real machine diagnosis system.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2007년도 추계학술대회논문집
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• pp.891-894
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• 2007

This study presents fault diagnosis of low speed bearing using support vector machine (SVM). The data used in the experiment was acquired using acoustic emission (AE) sensor and accelerometer. The aim of this study is to compare the performance of fault diagnosis based on AE signal and vibration signal with same load and speed. A low speed test rig was developed to simulate various defects with shaft speeds as low as 10 rpm under several loading conditions. In this study, component analysis was also performed to extract the feature and reduce the dimensionality of original data feature. Moreover, the classification for fault diagnosis was also conducted using original data feature without feature extraction. The result shows that extracted feature from AE sensor gave better performance in faults classification.

• 대한전자공학회논문지SD
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• 제41권5호
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• pp.51-60
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• 2004

반도체 기술의 발달로 회로의 집적도와 복잡도가 증가함에 따라 칩의 생산 과정에서 고장이 발생하는 빈도가 높아지게 되었다. 칩의 수율을 향상시키고, 생산 단가를 절감시키기 위해서 고장의 원인을 찾아내고 분석하는 과정은 매우 중요하다. 그러나 고장의 원인을 분석하는 과정 중 고장의 위치를 찾아내는 데는 많은 시간이 소요된다. 게이트 수준에서의 고장 위치 진단은 물리적 수준에서의 고장 범위를 한정해 줌으로써 고장 위치를 찾는 데 소요되는 시간을 줄 일 수 있다는 데 의미를 갖는다. 본 논문에서는 새로운 방식의 고장 딕션너리 방식과 추가적인 고장 시뮬레이션 방식을 혼합하여, 메모리의 소비를 최소화하면서도 시뮬레이션 수행 시간을 단축시킴으로써 효과적으로 고장 진단을 수행할 수 있는 고장 진단 알고리듬을 제안한다.

• 한국멀티미디어학회논문지
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• 제15권9호
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• pp.1149-1155
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• 2012

본 논문에서는 반도체 산업 영상에서 반도체의 결함 원인 진단 기법을 제안한다. 제안 기법은 먼저 결함 영상에 대한 특징 데이터베이스를 구축한다. 다음으로 결함 영상과 입력 영상을 블록 단위로 영역 분할을 수행한 후 컬러 히스토그램을 계산하여 블록들 사이의 히스토그램 카이 제곱 거리를 이용한 블록 유사성을 측정한다. 다음으로 각 영상에서 탐색된 블록들에 대하여 클러스터링을 수행하여 영역을 연결된 객체 단위로 군집한다. 마지막으로 각 클러스터들의 특징을 추출하여 클러스터 간 유사성 측정으로 가장 유사성이 높은 결함 영상을 특징 DB에서 탐색하여 결함 원인 정보와 함께 제시한다. 검색 결과 유사도 상위 n개의 영상 중에서 입력 영상과 동일한 범주의 결함을 갖는 영상이 검색되는 비율을 구하여 제안 기법의 정확성을 검증하였다. n = 1, 2, 3에 대해서 결함 범주에 상관없이 검색 정확도는 모두 100%로 제안 기법은 실제 산업 응용이 가능한 정확한 검색 결과를 보여주었다.

• Journal of Periodontal and Implant Science
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• 제48권2호
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• pp.84-91
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• 2018

Purpose: The purpose of this study was to visualize and identify peri-implant bone defects in optical coherence tomography (OCT) images and to obtain quantitative measurements of the defect depth. Methods: Dehiscence defects were intentionally formed in porcine mandibles and implants were simultaneously placed without flap elevation. Only the threads of the fixture could be seen at the bone defect site in the OCT images, so the depth of the peri-implant bone defect could be measured through the length of the visible threads. To analyze the reliability of the OCT measurements, the flaps were elevated and the depth of the dehiscence defects was measured with a digital caliper. Results: The average defect depth measured by a digital caliper was $4.88{\pm}1.28mm$, and the corresponding OCT measurement was $5.11{\pm}1.33mm$. Very thin bone areas that were sufficiently transparent in the coronal portion were penetrated by the optical beam in OCT imaging and regarded as bone loss. The intraclass correlation coefficient between the 2 methods was high, with a 95% confidence interval (CI) close to 1. In the Bland-Altman analysis, most measured values were within the threshold of the 95% CI, suggesting close agreement of the OCT measurements with the caliper measurements. Conclusions: OCT images can be used to visualize the peri-implant bone level and to identify bone defects. The potential of quantitative non-invasive measurements of the amount of bone loss was also confirmed.