• 대한의용생체공학회:의공학회지
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• 제12권2호
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• pp.89-98
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• 1991

This study is concerned on the automation for cell diagnosis which has better objectivity and speed of test than human beings. Diagnosis is on the basis of shape change of abnormal Cells. Used parameters are nucleus area, nucleus perimeter, nucleus shape, cytoplasm area, nucleus/cytoplsm ratio, which was obtained using image processing technics. A new mode method is proposed on the automatic threshold selection for superior process time compared with Otsu's. Contour of the cytoplasm of abnormal cell is obtained using me- dian filter and sorel operator. The mask to get only original shape of abnormal cells is formed uslng the contour filling algorithm. In the result the normal cells are separated from the abnormal cells and the abnormal cells can be distinguished through screwing of abnormal cell's image with reference data to judge abnormal cells. Owing to this study the number of inspections which the pathologists should examine will be decreased and the time for inspection will be shortened.

• Asian Pacific Journal of Cancer Prevention
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• 제15권16호
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• pp.6489-6494
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• 2014

Cervical cytology remains the principal screening method to detect pre-invasive and invasive cervical lesions. Management of abnormal cervical cytology depends on the risk of encountering a significant cervical lesion or high-grade cervical disease. These risks may vary in different areas across the country. Thus, determining the rate of significant cervical lesion associated with each type of abnormal cervical cytology in each area is of critical importance for designing area-specific management approach. This review was conducted to evaluate the rate of high-grade cervical disease among Thai women with abnormal cervical cytology. A relatively high incidence of underlying significant lesions including invasive disease was demonstrated even in those having only minimal smear abnormality. This baseline information is crucial and must be taken into consideration in management of women with abnormal cytological screening to achieve the goals of comprehensive cervical cancer control in Thailand.

• 대한원격탐사학회지
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• 제38권4호
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• pp.355-364
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• 2022

In this study a tendency of abnormal sea surface temperature (SST) occurrence in the seas around South Korea is analyzed from daily SST data from satellite and 14 buoys from August 2020 to July 2021. As thresholds 28℃ and 4℃ are used to determine marine heatwaves(MHWs) and abnormal low water temperature (ALWT), respectively, because those values are adopted by the National Institute of Fisheries Science for the breaking news of abnormal temperature. In order to calculate frequency of abnormal SST occurrence spatially by using satellite SST, research area was divided into six areas of coast and three open seas. ALWT dominantly appeared over a wide area (7,745 km²) in Gyeonggi Bay for total 94 days and it was also confirmed from buoy temperature showing an occurrence number of 47 days. MHWs tended to be high in frequency in the coastal areas of Chungcheongdo and Jeollabukdo and the south coastal areas while in case of buoy temperature Jupo was the place of high frequency (32 days). This difference was supposed to be due to the low accuracy of satellite SST at the coasts. MHWs are also dominant in offshore waters around Korean Peninsula. Although detecting abnormal SST by using satellite SST has advantage of understanding occurrence from a spatial point of view, we also need to perform detection using buoys to increase detection accuracy along the coast.

• 한국임상수의학회지
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• 제20권3호
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• pp.364-368
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• 2003

Cytogenetic and hematological analysis was performed in peripheral blood from the cattle associated with abnormal delivery around nuclear power plant area. The frequency of micronuclei (MN) in peripheral blood lymphocytes from cattle was used as a biomarker of radiobiological effects resulting from exposure to environmental radiation. An estimated dose of radiation was calculated by best fitting linear-quadratic model based on the radiation-induced MN data over the range from 0 Gy to 4 Gy from the bovine lymphocytes with in vitro irradiation. MN rates in live malformed calf, dams of malformed calves and other cattle living in the same barn from the regions around nuclear power plant, and cattle in control area were 9/1000, 10.8/1000, 13.3/1000 and 10.0/1000, respectively. There were no significant differences in MN frequencies and hematological values between the cattle associated with abnormal delivery around nuclear power plant area and those of control area. This study indicates that the congenital abnormalities near nuclear power plant seemed to be caused by other aetiology.

• 한국초지조사료학회지
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• 제43권3호
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• pp.190-198
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• 2023

This study was conducted to calculate the damage of Italian ryegrass (IRG) by abnormal climate using machine learning and present the damage through the map. The IRG data collected 1,384. The climate data was collected from the Korea Meteorological Administration Meteorological data open portal.The machine learning model called xDeepFM was used to detect IRG damage. The damage was calculated using climate data from the Automated Synoptic Observing System (95 sites) by machine learning. The calculation of damage was the difference between the Dry matter yield (DMY)_normal and DMY_abnormal. The normal climate was set as the 40-year of climate data according to the year of IRG data (1986~2020). The level of abnormal climate was set as a multiple of the standard deviation applying the World Meteorological Organization (WMO) standard. The DMY_normal was ranged from 5,678 to 15,188 kg/ha. The damage of IRG differed according to region and level of abnormal climate with abnormal temperature, precipitation, and wind speed from -1,380 to 1,176, -3 to 2,465, and -830 to 962 kg/ha, respectively. The maximum damage was 1,176 kg/ha when the abnormal temperature was -2 level (+1.04℃), 2,465 kg/ha when the abnormal precipitation was all level and 962 kg/ha when the abnormal wind speed was -2 level (+1.60 ㎧). The damage calculated through the WMO method was presented as an map using QGIS. There was some blank area because there was no climate data. In order to calculate the damage of blank area, it would be possible to use the automatic weather system (AWS), which provides data from more sites than the automated synoptic observing system (ASOS).

• 한국음향학회지
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• 제40권4호
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• pp.337-346
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• 2021

일반적으로 비정상 신호 탐지 연구에서는 데이터 불균형으로 인해 정상 신호 특징을 주된 정보로 사용한다. 본 논문에서는 비정상 신호의 특징을 학습하는 병렬 오토인코더를 이용한 효율적인 비정상 신호 탐지기법을 제안한다. 제안된 동일한 구조로 이루어진 병렬 오토인코더는 정상 신호와 비정상 신호에 대한 특징을 학습하는 정상 복원기와 비정상 복원기로 구성되며, 정상 및 비정상 데이터를 순차적으로 학습함으로써 불균형 데이터 문제를 효율적으로 해결할 수 있다. 뿐만 아니라 보다 높은 탐지성능 향상을 위해서 부가적인 이진 분류기가 추가될 수 있다. 공개된 음향데이터를 이용한 실험결과, 제안된 병렬 탐지모델의 학습시간이 단일 오토인코더 탐지모델과 비교하여 약 1.31 ~ 1.61배 늘어나지만, 최소 22 % 이상의 Area Under Curve(AUC) 향상을 보였다. 또한, 사전에 훈련된 병렬 오토인코더를 이용하여 수중 음향데이터를 전이학습한 결과 수중 비정상 신호 AUC 탐지성능을 93 % 이상 향상시킬 수 있음을 확인하였다.

• 지질공학
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• 제27권3호
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• pp.217-231
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• 2017

도심지 내 지반침하는 공동의 생성 및 체적함수비의 급격한 변화에 의하여 발생할 수 있는 것으로 알려져 있다. 본 연구에서는 보정 기법이 적용된 지하투과레이더 신호를 이용하여 도심지 내 공동 및 체적함수비의 급격한 변화가 발생한 지반 이상 구간을 검측하고자 하였다. 지반 이상구간에 대한 신호 획득을 위하여 구형의 공동을 모사한 모형지반을 대상으로 지하투과레이더 탐사를 수행하였다. 필터링 기법을 적용하여 설정한 대역폭을 통과하는 신호만을 측정하였으며, 이후 이득 함수, 타임 제로, 배경 제거, 디콘볼루션, 영상 이득 기법을 적용하고 각 기법의 적용에 따른 신호의 변화양상을 비교하였다. 신호처리 및 영상화 기법을 적용한 결과, 공동 발생 구간의 전기적 임피던스 대소관계에 부합하는 위상이 나타났다. 지하투과레이더 측정 신호를 이용하여 산정한 상대 유전율과 모형지반의 체적함수비를 이용하여 예측한 상대 유전율을 비교한 결과, 각 방법으로 도출된 상대 유전율은 서로 유사한 값을 보였다. 이를 통하여 도심지와 같이 매설물의 깊이가 알려져 있는 경우, 보정된 지하투과 레이더 신호를 통하여 체적함수비의 급격한 변화 구간 또한 검측할 수 있을 것이라 판단된다. 본 연구에서 제시된 신호의 보정 기법과 상대 유전율의 산정은 도심지 내 공동 발생 구간 및 체적함수비의 급격한 변화 구간과 같은 이상구간 검측에 활용될 수 있을 것으로 판단된다.

• Journal of Yeungnam Medical Science
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• 제8권2호
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• pp.150-157
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• 1991

보건연구개발 사업을 위한 지역사회 진단의 일환으로 도시 영세지역 주민을 대상으로 시행한 건강진단 조사의 결과를 요약하면 다음과 같다. 전체 대상주민 2,591명중 건강진단에 참여한 영세지역 주민은 437명(16.9%)였으며 남자는 9.9% 여자는 23.9%가 참여하였다. 연령별로는 60세 이상군이 42%로 가장 높은 참여율을 나타냈고 20-29세군이 5.9%로 가장 낮았다. 건강진단에서 이상소견율은 남자가 38.7%, 여자가 45.8%였으며 전체적으로 43.7%였고 연령별로는 60세 이상군이 69.8%로 가장 높고 10-19세군이 10.9%로 가장 낮았다. 국제질병분류(ICD 17 대분류)에 의한 질병분포는 소화기계 질병이 23.7%로 가장 높았고 순환기계 질병 19.7%, 신경계 및 감각기 질병 13.2% 순이었다. Screening test에서 헤마토크릿치가 낮은 경우가 14.6%, 고혈압이 10.1%, 청력손실 5.5%, 간기능이상 4.1%, 당뇨가 2.3%, 단백뇨가 1.4%, chest X-선상 이상소견이 0.9%였다.

• 소성∙가공
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• 제25권5호
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• pp.306-312
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• 2016

Effects of manufacturing conditions, such as austenitizing temperature, patenting temperature and carbon content in steels, on mechanical properties, especially on reduction of area (RA), of hyper-eutectoid steel wires were investigated. RA increased and then decreased with transformation temperature. This was attributed to the presence of abnormal structures in steels transformed at low transformation temperatures and the occurrence of shear cracking during tensile testing of steels transformed at high transformation temperatures. The increase of austenitizing temperature resulted in the increased austenite grain size and consequently the decrease of RA. The decrease of RA with increasing the carbon content in steels was attributed to the increased fraction of cleavage fracture in tensile fractured surfaces.

• Clinical and Experimental Reproductive Medicine
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• 제48권2호
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• pp.156-162
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• 2021

Objective: The aim of the present study was to evaluate the predictive capability of fasting-state measurements of glucose and insulin levels alone for abnormal glucose tolerance in women with polycystic ovary syndrome (PCOS). Methods: In total, 153 Korean women with PCOS were included in this study. The correlations between the 2-hour postload glucose (2-hr PG) level during the 75-g oral glucose tolerance test (OGTT) and other parameters were evaluated using Pearson correlation coefficients and linear regression analysis. The predictive accuracy of fasting glucose and insulin levels and other fasting-state indices for assessing insulin sensitivity derived from glucose and insulin levels for abnormal glucose tolerance was evaluated using receiver operating characteristic (ROC) curve analysis. Results: Significant correlations were observed between the 2-hr PG level and most fasting-state parameters in women with PCOS. However, the area under the ROC curve values for each fasting-state parameter for predicting abnormal glucose tolerance were all between 0.5 and 0.7 in the study participants, which falls into the "less accurate" category for prediction. Conclusion: Fasting-state measurements of glucose and insulin alone are not enough to predict abnormal glucose tolerance in women with PCOS. A standard OGTT is needed to screen for impaired glucose tolerance and type 2 diabetes mellitus in women with PCOS.