• Title/Summary/Keyword: 보조변수법

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Efficient Use of Auxiliary Information through the Stratified Sampling and Systematic Sampling Design (층화추출과 계통추출을 이용한 효율적인 보조정보 사용)

  • Kim, Gwan-Su;Park, Min-Gue
    • Survey Research
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    • v.10 no.1
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    • pp.155-168
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    • 2009
  • As an efficient sampling design, stratified random sampling is often used when auxiliary information is available at the designing stage. Although one - per - stratum design is an efficient design that can be used when many auxiliary variables are available, it does not provide any unbiased variance estimator. With a two - per - stratum sample in which two elements are selected from each stratum, it is possible to obtain an unbiased variance estimator. However the loss of efficiency could be significant if any important stratification variable is missed. In this study, we investigated a sampling design that uses the all given auxiliary information and also permits an unbiased variance estimator suggested by Park and Fuller(2008). Through a simulation study, we compared several stratified random sampling and systematic sampling design. We also applied the proposed stratified sampling designs to 2007 youth panel data.

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An Adjoint Variable Method for Eigenproblem Design Sensitivity Analysis of Damped Systems (감쇠계 고유치문제의 설계민감도해석을 위한 보조변수법)

  • Lee, Tae Hee;Lee, Jin Min;Yoo, Jung Hoon;Lee, Min Uk
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.29 no.11 s.242
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    • pp.1527-1533
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    • 2005
  • Three methods for design sensitivity analysis such as finite difference method(FDM), direct differentiation method(DDM) and adjoint variable method(AVM) are well known. FDM and DDM for design sensitivity analysis cost too much when the number of design variables is too large. An AVM is required to compute adjoint variables from the simultaneous linear system equation, the so-called adjoint equation. Because the adjoint equation is independent of the number of design variables, an AVM is efficient for when number of design variables is too large. In this study, AVM has been extended to the eigenproblem of damped systems whose eigenvlaues and eigenvectors are complex numbers. Moreover, this method is implemented into a commercial finite element analysis program by means of the semi-analytical method to show applicability of the developed method into practical structural problems. The proposed_method is compared with FDM and verified its accuracy for analytical and practical cases.

Design Sensitivity Analysis and Optimal Design to Control Forced Vibration of Structure (구조물 진동제어를 위한 민감도해석 및 최적설계)

  • 이재환;이광한;송의준
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 1994.04a
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    • pp.39-44
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    • 1994
  • 본 문에서는 조화기진력(harmonic force) 하에서 보조변수법을 적용한 연속법이 사용되어 선형구조물의 변위, 응력에 대한 치수 설계 민감도가 계산되었다. 또한 최적설계가 조화 하중의 경우에 시도되어 주어진 제한조건들을 만족하며 최소 중량이 계산되었다.

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Imputation for Binary or Ordered Categorical Traits Based on the Bayesian Threshold Model (베이지안 분계점 모형에 의한 순서 범주형 변수의 대체)

  • Lee Seung-Chun
    • The Korean Journal of Applied Statistics
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    • v.18 no.3
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    • pp.597-606
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    • 2005
  • The nonresponse in sample survey causes a problem when it comes time to analyze dataset in public-use files where the user has only complete-data methods available and has limited information about the reasons for nonresponse. Recently imputation for nonresponse is becoming a standard approach for handling nonresponse and various imputation methods have been devised . However, most imputation methods concern with continuous traits while many interesting features are measured by binary or ordered categorical scales in sample survey. In this note. an imputation method for ignorable nonresponse in binary or ordered categorical traits is considered.

A New 2-D Image Reconstruction Algorithm Based FDTD and Design Sensitivity Analysis (시간영역 유한 차분법과 민감도 해석법을 이용한 새로운 2차원 역산란 알고리즘)

  • Heo Chang-Keun;Kang No-Weon;Cheon Chang-Yul;Chung Tae-Kyung;Jung Hyun-Kyo
    • 한국정보통신설비학회:학술대회논문집
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    • 2003.08a
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    • pp.70-72
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    • 2003
  • 본 논문에서는 설계민감도 해석법과 위상최적화 기법을 사용하여 산란체의 물질상수 분포를 알기위한 수치해석 알고리즘을 제안하였다. 설계민감도 해석법과 보조변수법을 사용하여 복소 유전율에대한 목적함수의 미분정보를 계산하였고 이 민감도 정보를 통해 물질정보를 최적화 하였다. 최적화 기법으로 최대경사법(Steepest descent Method)을 사용하였으며 이 제안한 해석 기법을 2차원 TMz 모델에 적용함으로써 검증하였다.

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Topology Optimization of Perpendicular Magnetic Recording System by Considering Magnetic Nonlinearity (재료의 비선형을 고려한 수직기록장치의 위상최적화)

  • Park, Soon-Ok;Yoo, Jeong-Hoon;Min, Seung-Jae
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.34 no.7
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    • pp.821-827
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    • 2010
  • This paper proposes a density method based topology optimization of a perpendicular magnetic recording system design in which the saturation effect is taken into account. During the topology optimization process in magnetic fields, the magnetic reluctivity is updated in accordance with the changes in element density determined by a sensitivity analysis. The magnetic reluctivity is determined from a B-H curve and is used to represent nonlinear material property, i.e., the saturation effect. The sensitivity for a generalized response functional is formulated using the adjoint variable method in which the nonlinear property is taken into account and the objective function is set such that the magnetic energy in the media is maximized. Effects due to the nonlinear property can be observed from a numerical study in which the linear and the nonlinear topology optimization results are compared.

형상최적설계의 기초

  • 이희각
    • Computational Structural Engineering
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    • v.7 no.3
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    • pp.16-23
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    • 1994
  • 본 고에서는 형상최적설계에 대한 기초이론이 소개되었다. 재료도함수와 변분법 및 보조변수법에 기초한 형상설계민감도해석 절차는 까다로우며 함수론 등 많은 수학적인 배경을 필요로 한다. 설계민감도가 구해지면 이 정보를 필요로 하는 최적화 알고리즘을 사용하여 형상에 대한 최적해를 구할 수 있으며 그 과정은 재래식 최적설계시와 같다. 구조물 형상최적설게에 있어 형상(영역)변화의 효과는 대부분 경계에서 수직이동의 형태로 나타난다. 따라서 경계면에서 변위나 응력값 등에 대한 정확한 수치해는 성공적인 형상최적화의 중요한 관건이 된다. 따라서 구조해석을 위한 정확한 유한요소해석방법과 형상함수 그리고 경계를 나타내는 적절한 함수들을 지속적으로 개선할 필요가 있다. 반복설계과정 중에서 영역과 경계가 계속 바뀌므로 설계민감도 수치해의 정확도를 높이기 위해 경계요소법과 유한요소법에 기초를 둔 영역법 등을 사용하기도 한다.

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Extractions of Surface-Active Substances from Defatted Rapeseed Meal (Brassica napus L.) by Supercritical Carbon Dioxide (초임계 CO2 유체 추출법을 이용한 탈지 유채박 중 표면활성물질 추출의 최적화)

  • Kim, Jeong-Won;Jeong, Yong-Seon;Gil, Na-Young;Lee, Eui-Seok;Lee, Yong-Hwa;Jang, Young-Seok;Lee, Ki-Teak;Hong, Soon-Taek
    • The Korean Journal of Food And Nutrition
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    • v.26 no.4
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    • pp.831-840
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    • 2013
  • In this study, an attempt is being made to extract surface-active substances from defatted rapeseed cakes by supercritical carbon dioxide fluid. Independent variables for the extraction process, being formulated by D-optimal design, are pressure (150~350 bar), temperature ($33{\sim}65^{\circ}C$ and co-solvent (ethanol, 50~250 g). The dependent variables of the extraction yield, the content of neutral lipids, phospholipids and glycolipids in the extracts were analyzed upon the results through the response surface methodology. As for the extraction yield, it was found to increase with increasing independent variables, among which the co-solvent proved to be a major influencing parameter. Similar trends were found for the content of surface-active substances (i.e, phospholipids and glycolipids) in the extracts, except for the content of neutral lipids. Regression equations were suggested to coincide well with the results from the experiments. Extraction conditions are being optimized to maximize the extraction yields, the content of phospholipids, and glycolipids were 350 bar (pressure), $65^{\circ}C$ (temperature) and 228.55 g (co-solvent), respectively.

Estimation to improve survey efficiency in callback (재조사에서 효율 향상을 위한 추정법 연구)

  • Park, Hyeonah;Na, Seongryong
    • Journal of the Korean Data and Information Science Society
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    • v.26 no.2
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    • pp.377-385
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    • 2015
  • After performing callback for nonresponses in sample survey, we present an estimator of regression form using an auxiliary variable and a variance estimator using replicate method. Parametric inference method of the response probability is also presented. We research an unbiased estimator of high efficiency for the population mean and a variance estimator with consistency under callback. We also prove the validity of the theory through the simulation.