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강영진,양웅석,송근암,이동완 대한소화기내시경학회 1988 Clinical Endoscopy Vol.8 No.1
In order to assess the effects of diazepam and meperidine as premedication for upper gastrointestinal endoscopy, eighty eight patients undergone an elective upper gastrointestinal endoscopy were studied. Studied patients were divided into two groups; one group was premedicated with buscopan and stropine(group I), and the other group was premedicated with diazepam and meperidien (group II). The results obtained were summarized as follows; 1) 83.0% of the group II (44/53) did not eomplain any discomfort by the procedure, but only 23.9% (8/35) of the group I showed no discopmort. The difference between two groups is statiatieally significant (p<0.005). 2) In 41 patients with previous experience of endoscopy, 22 patients from 27 of the graup Il(81.5%) did not feel any discomfort but it wes only 3 patients among 14 of the group I (21.4%) who did not feel discomfart (p<0,005). 3) In 47 patients without previous experience of endoscopy, 23 patients from 26 of the group II (88. 5%) did not show discomfort but it way only 5 patients among 21 of the group I (23.7%) (p<0.005). 4) In the patients with previous experience of endoscopy, 21 patients among 27 of the group II (77. 8%) felt better than that of the previous experience but it was only 3 patients among 14 of the group I (21.4%) (p<0.005). From the above results, we would emphasize that it is more effective to use diazepam and, meperidien as premendication for the gastrointestinal endoscopic procedure since it removes pstients apprehension rendering them a good cooperation with very minimal side effects,
Effect of Ni-YSZ core-shell on the electrochemical properties of SOFC anode
강영진,홍선기,이민진,안용태,지미정,최병현 한국공업화학회 2014 한국공업화학회 연구논문 초록집 Vol.2014 No.1
SOFC의 대표적인 연료극인 Ni-YSZ 복합체는 높은 전기전도도와 화학적 안정성, 우수한 연료촉매특성 등의 장점을 가지고 있다. 그러나 SOFC의 장기간 작동 시 Ni-YSZ 연료극의 Nickel 입자가 조대화됨에 따라 삼상계면(TPB, triple phase boundary)이 감소하여 성능이 낮아지고 또한 수소가 아닌 탄화수소계 연료 사용시 탄소침적에 취약하여 성능 열화가 나타나는 단점을 지니고 있다. 본 연구에서는 각각 mechanofusion 공정으로 혼합하여 제조한 core-shell Ni-YSZ 분말과 일반적인 ball mill 공정으로 혼합한 분말을 SOFC 단전지 제조에 사용하여 균일하게 혼합된 연료극의 미세구조가 Ni 장시간 작동 시의 단전지 성능에 미치는 영향을 분석하고 비교하였다.
강영진,이동운,추호렬,권태웅,신종창,신홍균,최일근,최영연 한국잔디학회 2003 한국잔디학회지 Vol.17 No.2
골프장 잔디에 발생하는 식물기생선충의 종류를 알아보기 위하여 안양베네스트골프장과 동래베네스트골프장, 가평베네스트골프장의 금잔디와 크리핑벤트그라스, 켄터키블루그라스와 캐슬파인골프장의 크리핑 벤트그라스에서 조사하였다. 잔디 생육 부진지에서는 가는 주름선충(Criconema sp.)과 줄기구근선충(Ditylenchus sp.), 나선선충(Helicotylenchus sp.), 뿌리혹선충(Meloidogyne sp.), 뿌리썩이 선충(Pratylenchus sp.), 참선충(Tylenchus sp.), 위축선충(Tylenchorhynechus sp.)이 확인되었으며, 캐슬파인골프장 그린의 크리핑벤트그라스에서는 목초위축선충(Tylenchorhynechus dubius)에 의한 피해가 처음으로 확인되었다. 금잔디에서는 뿌리혹선충, 나선선충, 줄기구근선충, 뿌리썩이선충이 발견되었으며, 크리핑벤트그라스에서는 뿌리혹선충과 뿌리썩이선충이 발견되었다. 그리고 켄터키블루그라스에서는 뿌리혹선충과 참선충, 위축선충, 가는주름선충, 줄기구근선충, 나선선충이 확인되었다. 분리된 선충들 중 뿌리혹선충이 가장 심각한 선충이었으며 널리 분포하고 있었다. The plant parasitic nematodes were surveyed from Zoysia matrella, Agrotis palustris, and Poa pratensis at Anyang Benest Golf Club, Dongrae Benest Golf Club, and Gapyeong Benest Golf Club and from A. palustris at Castle Pine Golf Club. Criconema sp., Ditylenchus sp., Helicotylenchus sp., Meloidogyine sp., Pratylenchus sp., Tylenchus sp., and Tylenchorhynechus sp. were separated from unhealthy turf areas. In addition, Tylenchorhynechus dubius was firstly recorded from A. palustris at the green of Castle Pine Golf Club. Meloidogyne sp., Helicotylenchus sp., Ditylenchus sp., and Pratylenohus were separated from Z. matrella, Meloidogyne sp. and Pratylenchus were from A. palustris, and Meloidogyne sp., Tylenchus sp., Tylenchorhynchus sp., Criconema sp., and Helicotylenchus sp. were from P. pratensis. Out of separated nematodes, Meloidogyne was the most serious nematode and widely distributed.
강영진,홍지민,임오강,노유정 한국전산구조공학회 2017 한국전산구조공학회논문집 Vol.30 No.1
신뢰성 해석 및 신뢰성기반 최적설계는 불확실성을 고려한 확률변수를 입력 값으로 요구하며, 확률변수는 모수적․비모수 적 통계모델링 방법을 사용하여 확률분포함수의 형태로 정량화 된다. 신뢰성 해석과 같은 통계적 해석은 입력되는 확률분포 함수의 특성이 결과값에 영향을 미치게 되며, 확률분포함수는 통계모델링 방법에 따라 다른 형태를 가지게 된다. 본 연구에 서는 모수적 통계모델링 방법인 순차적 통계모델링 방법과 비모수적 방법인 커널밀도추정을 사용하여 데이터의 개수에 따 른 통계모델링의 결과를 분석하였다. 또한 수치예제를 통해 두 가지 기법에 따른 신뢰성 해석의 결과를 분석하였고, 데이터 의 개수에 따른 적절한 기법을 제안하였다. Reliability analysis(RA) and Reliability-based design optimization(RBDO) require statistical modeling of input random variables, which is parametrically or nonparametrically determined based on experimental data. For the parametric method, goodness-of-fit (GOF) test and model selection method are widely used, and a sequential statistical modeling method combining the merits of the two methods has been recently proposed. Kernel density estimation(KDE) is often used as a nonparametric method, and it well describes a distribution function when the number of data is small or a density function has multimodal distribution. Although accurate statistical models are needed to obtain accurate RA and RBDO results, accurate statistical modeling is difficult when the number of data is small. In this study, the accuracy of two statistical modeling methods, SSM and KDE, were compared according to the number of data. Through numerical examples, the RA results using the input models modeled by two methods were compared, and appropriate modeling method was proposed according to the number of data.
다변량 확률분포함수의 추정을 위한 MKDE-ebd 개발
강영진,노유정,임오강 한국전산구조공학회 2019 한국전산구조공학회논문집 Vol.32 No.1
In engineering problems, many random variables have correlation, and the correlation of input random variables has a great influence on reliability analysis results of the mechanical systems. However, correlated variables are often treated as independent variables or modeled by specific parametric joint distributions due to difficulty in modeling joint distributions. Especially, when there are insufficient correlated data, it becomes more difficult to correctly model the joint distribution. In this study, multivariate kernel density estimation with bounded data is proposed to estimate various types of joint distributions with highly nonlinearity. Since it combines given data with bounded data, which are generated from confidence intervals of uniform distribution parameters for given data, it is less sensitive to data quality and number of data. Thus, it yields conservative statistical modeling and reliability analysis results, and its performance is verified through statistical simulation and engineering examples.