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3차원초음파에서 임신주수 예측을 위한 선형회귀방정식의 구현
양성희(SungHee Yang),이진수(Jin-Soo Lee),김정훈(Jung-Hoon Kim),김창수(Changsoo Kim) 한국콘텐츠학회 2015 한국콘텐츠학회논문지 Vol.15 No.6
태아의 소뇌는 임신주수에 따라 성장하며 소뇌횡직경 길이의 측정은 임상에서 태아성장 예측의 중요한 지표로 활용하고 있다. 본 연구에서는 임신 20∼37주 사이의 산모를 임신 주수별 각 20명씩 총 340명을 대상으로 3차원초음파 탐촉자를 이용하여 태아의 태령 및 태아의 소뇌 양쪽 외단을 측정해 기초자료를 획득하였다. 결과적으로 임신 주수에 따른 태아 소뇌횡직경의 성장을 회귀곡선으로 표시하였고 선형회귀방정식에서 결정계수를 얻었다. 3차원초음파를 이용한 임신주수에 따른 소뇌횡직경 측정방법은 통계적으로 유의(p<0.001)하였으며, 태령을 예측함에 있어 유용하다는 것을 알 수 있었다. 그러므로 임신주수에 따라 증가하는 소뇌횡직경의 측정은 정확한 임신주수의 산정이 가능 할 것이며 임상에서 현재 이용되고 있는 태령측정 방법의 대체 또는 개선방법이라 사료된다. 태아의 성장에 따라 측정하는 소뇌형직경은 임신주수에 따른 태아 성장의 평가가 가능하며, 태아의 머리 모양에 관계없이 성장장애가 있는 경우에도 임신주수의 예측이 가능하다. 따라서 본 연구를 기초자료로 하여 지속적인 연구가 시행된다면 3차원초음파를 이용한 소뇌횡 직경의 측정은 정확한 임신주수 예측에 유용할 것으로 사료된다. Fetal cerebellum is grow depending on the gestational age, measurement of transverse cerebellar diameter(TCD) is being used import indicator of fetal growth prediction in clinical. In this study, the subjects were normal pregnant women 20∼37 week of gestation, and the volume scan was conducted on the 340 subjects. The research reports was indicated by regression curve the growth of fetal TCD in accordance with the gestational age. It got to the value of the results from a linear regression equation. Measurement fetal TCD using 3D US was statistically significant(p<0.001) and useful in the prediction of gestational age. TCD increases with gestational age can also distinguish between the normal fetal and prediction of accurate gestational age of fetal growth retardation. If the basic data of the present study, ongoing research is performed, the TCD using by 3D US are expected to be usefully applied in the correct prediction gestational age.
양성희(SungHee Yang),이진수(Jin-Soo Lee),김창수(Changsoo Kim) 한국콘텐츠학회 2016 한국콘텐츠학회논문지 Vol.16 No.2
좌심실비대는 심혈관계의 합병증을 유발함으로 임상적으로 문제가 되고 있으며 선별진단이 중요하다. 본 연구에서는 심장초음파상 좌심실비대로 판단된 30∼80대의 환자 50명을 대상으로 심전도검사와 비교분석하였다. 좌심실질량지수와 Sokolow-Lyon 공식에 의해 회귀분석을 하였으며, 두 검사 방법의 적정성을 평가하기 위해 ROC 분석을 이용하였다. 좌심실비대의 위험 요인인 나이와 체질량지수, 수축기 혈압, 확장기 혈압이 좌심실 비대 진단 검사의 기준치와 양의 상관성을 보였다. 심장초음파로 진단된 50명의 환자에서 심전도검사에서는 21명만이 진단되었다. 분석결과로 심장초음파에서는 AUC 99%, 민감도 96%, 특이도 95%, 정확도 95.5%였으며, 심전도검사에서 AUC 76%, 민감도 62%, 특이도 76%, 정확도 68% 인 것으로 나타났다. 좌심실비대 진단에 있어 심장초음파와 심전도검사의 정확도를 비교했을 때 심장초음파가 정확성 높은 검사란 것을 알 수 있었다. 따라서 1차 선별검사로 심전도검사에서 정상 판정을 받더라도, 나이와, 체질량지수, 수축기 혈압, 확장기 혈압에 대한 수치를 고려하여 심장초음파 검사를 고려해야할 필요성이 있다. We extracted 50 LVH patients out of 30’∼80’s who performing ECG and echocardiography examination. We used Devereux’s theory to examinate LVH with echocardiography and used Sokolow-Lyon’s theory to examinate LVH with ECG. We used regression and correlation analysis by SPSS, used ROC curve analysis to decide predominance of two ways of .Age, BMI, SBP and DBP whice are the danger factors of LVH and standard value of LVH diagnosis examination seems correlated. Out of 50 LVH patients, 50 patients were diagnosed LVH by echcardiography examination and only 21 patients were diagnosed LVH by ECG examination. Also echocardiography was AUC 99%, sensitivity 96%, singularity 95%, accuracy 95.5%. And ECG was AUC 76%, sensitivity 62%, singularity 76%, accuracy 68%.By comparing accuracy between echocardiography and ECG in diagnosing LVH, we could tell echocardiography was examination with higher accuracy. Therefore, if one was diagnosed with summit on 1st examination with ECG, considering age, body mass index, systolic blood pressure and dilator blood pressure, should offer echocardiography examination.
A Data-driven Approach for Computational Simulation: Trend, Requirement and Technology
( Sunghee Lee ),( Sunil Ahn ),( Wonkyun Joo ),( Myungseok Yang ),( Eunji Yu ) 한국인터넷정보학회 2018 인터넷정보학회논문지 Vol.19 No.1
With the emergence of a new paradigm called Open Science and Big Data, the need for data sharing and collaboration is also emerging in the computational science field. This paper, we analyzed data-driven research cases for computational science by field; material design, bioinformatics, high energy physics. We also studied the characteristics of the computational science data and the data management issues. To manage computational science data effectively it is required to have data quality management, increased data reliability, flexibility to support a variety of data types, and tools for analysis and linkage to the computing infrastructure. In addition, we analyzed trends of platform technology for efficient sharing and management of computational science data. The main contribution of this paper is to review the various computational science data repositories and related platform technologies to analyze the characteristics of computational science data and the problems of data management, and to present design considerations for building a future computational science data platform.
Availability analysis of subsea blowout preventer using Markov model considering demand rate
Sunghee Kim,Soyeon Chung,Youngsoon Yang 대한조선학회 2014 International Journal of Naval Architecture and Oc Vol.6 No.4
Availabilities of subsea Blowout Preventers (BOP) in the Gulf of Mexico Outer Continental Shelf (GoM OCS) is investigated using a Markov method. An updated β factor model by SINTEF is used for common-cause failures in multiple redundant systems. Coefficient values of failure rates for the Markov model are derived using the β factor model of the PDS (reliability of computer-based safety systems, Norwegian acronym) method. The blind shear ram preventer system of the subsea BOP components considers a demand rate to reflect reality more. Markov models considering the demand rate for one or two components are introduced. Two data sets are compared at the GoM OCS. The results show that three or four pipe ram preventers give similar availabilities, but redundant blind shear ram preventers or annular preventers enhance the availability of the subsea BOP. Also control systems (PODs) and connectors are contributable components to improve the availability of the subsea BOPs based on sensitivity analysis.
Availability analysis of subsea blowout preventer using Markov model considering demand rate
Kim, Sunghee,Chung, Soyeon,Yang, Youngsoon The Society of Naval Architects of Korea 2014 International Journal of Naval Architecture and Oc Vol.6 No.4
Availabilities of subsea Blowout Preventers (BOP) in the Gulf of Mexico Outer Continental Shelf (GoM OCS) is investigated using a Markov method. An updated ${\beta}$ factor model by SINTEF is used for common-cause failures in multiple redundant systems. Coefficient values of failure rates for the Markov model are derived using the ${\beta}$ factor model of the PDS (reliability of computer-based safety systems, Norwegian acronym) method. The blind shear ram preventer system of the subsea BOP components considers a demand rate to reflect reality more. Markov models considering the demand rate for one or two components are introduced. Two data sets are compared at the GoM OCS. The results show that three or four pipe ram preventers give similar availabilities, but redundant blind shear ram preventers or annular preventers enhance the availability of the subsea BOP. Also control systems (PODs) and connectors are contributable components to improve the availability of the subsea BOPs based on sensitivity analysis.
Use of hazardous event frequency to evaluate safety integrity level of subsea blowout preventer
정소연,Sunghee Kim,Young-Soon Yang 대한조선학회 2016 International Journal of Naval Architecture and Oc Vol.8 No.3
Generally, the Safety Integrity Level (SIL) of a subsea Blowout Preventer (BOP) is evaluated by determining the Probability of Failure on Demand (PFD), a low demand mode evaluation indicator. However, some SIL results are above the PFD's effective area despite the subsea BOP's demand rate being within the PFD's effective range. Determining a Hazardous Event Frequency (HEF) that can cover all demand rates could be useful when establishing the effective BOP SIL. This study focused on subsea BOP functions that follow guideline 070 of the Norwegian Oil and Gas. Events that control subsea well kicks are defined. The HEF of each BOP function is analyzed and compared with the PFD by investigating the frequency for each event and the demand rate for the components. In addition, risk control options related to PFD and HEF improvements are compared, and the effectiveness of HEF as a SIL verification for subsea BOP is assessed.