http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
최규석(Gyuseok Choi),신동완(Dongwan Shin),최수윤(Suyoon Choi),정선기(Sunkee Jung) 한국자동차공학회 2016 한국자동차공학회 부문종합 학술대회 Vol.2016 No.5
The automotive sunroof system has many benefit that are able to control ventilation and brightness. Kinds of auto motive sunroof system are Panorama sunroof, normal sunroof type. Recently, strength in sunroof system with the growth of the global automotive industry are one of the most important issues. Many studies have been carried out to improve sunroof system’s strength. In the paper, the structural analysis on close, open condition of normal sunroof type is carried out. The close and open condition of automotive sunroof Assy are verified by comparing structural analysis results with experimental data obtained by strength tester. All kinds of influence factors affecting the sunroof system stiffness is confirmed by simulation and test. A FEM model of sunroof system is established for analyzing the strength of sunroof system by using Abaqus program. In the paper, method of structural analysis and strength test are proposed for evaluation of sunroof system’s close and open condition.
최규석(Gyuseok Choi),신동완(Dongwan Shin),최수윤(Suyoon Choi),정선기(Sunkee Jung) 한국자동차공학회 2015 한국자동차공학회 학술대회 및 전시회 Vol.2015 No.11
The automotive sunroof system has many benefit that are able to control ventilation and brightness. Kinds of auto motive sunroof system are Panorama sunroof, normal sunroof type. Recently, strength in sunroof system with the growth of the global automotive industry are one of the most important issues. Many studies have been carried out to improve sunroof system’s strength. In the paper, the structural analysis on normal sunroof type is carried out. The sunroof Assy, movable glass sub Assy and Frame sub Assy are verified by comparing structural analysis results with experimental data obtained by strength tester. All kinds of influence factors affecting the sunroof system stiffness is confirmed by simulation and test. A FEM model of sunroof system is established for analyzing the strength of sunroof system by using Abaqus program. In the paper, method of structural analysis and strength test are proposed for evaluation of sunroof system’s performance.
이중 다단계 일반화 선형모형 적합을 위한 SRC-stat의 사용
노맹석,하일도,이영조,임요한,이재용,오희석,신동완,이상구,서진욱,박용태,조성준,박종헌,김유경,유경상,Noh, Maengseok,Ha, Il Do,Lee, Youngjo,Lim, Johan,Lee, Jaeyong,Oh, Heeseok,Shin, Dongwan,Lee, Sanggoo,Seo, Jinuk,Park, Yonhtae,Cho, Sungzoon,Park 한국통계학회 2015 응용통계연구 Vol.28 No.2
We introduce how to fit random effects models via a SRC-Stat statistical package. This package has been developed to fit double hierarchical generalized linear models where mean and dispersion parameters for the variance of random effects and residual variance (overdispersion) can be modeled as random-effect models. The estimates of fixed effects, random effects and variances are calculated by a hierarchical likelihood method. We illustrate the use of our package with practical data-sets. 본 논문에서는 SRC-Stat 통계패키지를 이용하여 변량효과를 적합하는 방법에 대해서 소개하고자 한다. 본 패키지를 통하여 단변량 평균 뿐만 아나리 산포 및 분산에도 변량효과를 고려하는 이중 다단계 일반화 선형모형을 적합할 수 있다. 고정효과 및 변량효과의 추정치는 다단계 우도 방법을 이용하고 있으며, 실제 자료 적합을 통해 패키지의 사용법에 대해서 설명하고자 한다.
하일도,노맹석,이영조,임요한,이재용,오희석,신동완,이상구,서진욱,박용태,조성준,박종헌,김유경,유경상,Ha, Il Do,Noh, Maengseok,Lee, Youngjo,Lim, Johan,Lee, Jaeyong,Oh, Heeseok,Shin, Dongwan,Lee, Sanggoo,Seo, Jinuk,Park, Yonhtae,Cho, Sungzoon,Park 한국통계학회 2015 응용통계연구 Vol.28 No.2
본 논문에서는 SRC-Stat 통계패키지를 이용하여 생존자료를 분석하는 방법을 소개한다. 본 패키지는 단변량 생존 자료 분석을 위한 콕스의 비례위험모형 뿐만아니라, 다변량 생존자료분석을 위한 공통 및 지분 프레일티 모형과 같은 고급 생존분석법을 제공한다. 잘 알려져 있는 실제자료의 사용을 통해 본 패키지의 유용성을 예증한다. In this paper we introduce how to analyze survival data via a SRC-Stat statistical package. This provides classical survival analysis (e.g. Cox's proportional hazards models for univariate survival data) as well as advanced survival analysis such as shared and nested frailty models for multivariate survival data. We illustrate the use of our package with practical data sets.
RESTRICTED NONLINEAR ESTIMATION
Shin, Dongwan 水原大學校 1991 論文集 Vol.9 No.-
We consider a nonlinear estimation problem when parameter should satisfy some restrictions. Nonlinear regression and maximum likelihood estimation are good examples of nonlinear estimation. We give conditions under which nonlinear estimator obtained from minimization of a function with some restrictions on parameter is strongly consistent. When the restrictions are given by functions, conditions for existence of limiting distribution of estimator are given.