• 제목/요약/키워드: two-component

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Estimations of the Parameters in a Two-component System Using Dependent Masked Data

  • Sarhan Ammar M.
    • International Journal of Reliability and Applications
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    • 제6권2호
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    • pp.117-133
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    • 2005
  • Estimations of the parameters included in a two-component system are derived based on masked system life test data, when the probability of masking depends upon the exact cause of system failure. Also estimations of reliability for the individual components at a specified mission time are derived. Maximum likelihood and Bayes methods are used to derive these estimators. The problem is explained on a series system consisting of two independent components each of which has a Pareto distributed lifetime. Further we present numerical studies using simulation.

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Exact Variance of Location Estimator in One-Way Random Effect Models with Two Distint Group Sizes

  • Lee, Young-Jo;Chung, Han-Yeong
    • Journal of the Korean Statistical Society
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    • 제18권2호
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    • pp.118-124
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    • 1989
  • In the one-way random effect model, we often estimate the variance components by the ANOVA method and then estimate the population mean. Whe there are only two distint group sizes, the conventional mean estimator is represented as a weighted average of two normal means with weights being the function of variance component estimators. In this paper, we will study a method which can compute the exact variance of the mean estimator when we set the negative variance component estimate to zero.

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Application of varimax rotated principal component analysis in quantifying some zoometrical traits of a relict cow

  • Pares-Casanova, P.M.;Sinfreu, I.;Villalba, D.
    • 대한수의학회지
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    • 제53권1호
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    • pp.7-10
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    • 2013
  • A study was conducted to determine the interdependence among the conformation traits of 28 "Pallaresa" cows using principal component analysis. Originally 21 body linear measurements were obtained, from which eight traits are subsequently eliminated. From the principal components analysis, with raw varimax rotation of the transformation matrix, two principal components were extracted, which accounted for 65.8% of the total variance. The first principal component alone explained 51.6% of the variation, and tended to describe general size, while the second principal component had its loadings for back-sternal diameter. The two extracted principal components, which are traits related to dorsal heights and back-sternal diameter, could be considered in selection programs.

Varietal Classification by Multivariate Analysis on Quantitative Traits in Pecan

  • Shin, Dong-Young;Nou, Ill-Sup
    • Plant Resources
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    • 제2권2호
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    • pp.75-80
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    • 1999
  • Twenty two varieties of pecan including wild types were classified based on 6 characters measured by principal component analysis score distance. The results are summarized as fellow. Twenty two varieties were classified into 5 groups based in PCA score distance. Five groups were distinctly characterized by many morphological characters. Total variation could be explained by 51%, 95%, 99% with first, third and fifth principal components respectively. Varimax rotation of the factor loading of the first factors indicated that the first component was highly loaded with leaf characters, the second component with fruit characters, but fruit length was negative loaded. The second, the third and the fourths groups of cultivars had very close genetic parentage similarity.

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개별 부하모델링을 위한 부하의 합리적인 특성실험 (Reasonable Load Characteristic Experiment for Component Load Modeling)

  • 지평식;이종필;임재윤;추진부;김정훈
    • 대한전기학회논문지:전력기술부문A
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    • 제51권2호
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    • pp.45-52
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    • 2002
  • Load modeling is classified into two methods according to approaching method, so called the measurement and component-based method. The measurement method is to model the load characteristics measured directly at substations and feeders. But it is difficult to measure continuously load characteristics from naturally occurring. system variation. The component-based method consists of the fellowing process; component load modeling, composition rate estimation and aggregation of component loads, etc. In this paper, the characteristic experiment of component loads was performed to obtain data for the component load modeling as the component-based method. At first, representative component loads were selected by the proposed method considering the accuracy of load modeling and the performance possibility of component load experiment in the laboratory. Also an algorithm was Proposed to identify the reliability of data obtained from the component load characteristic experiments. In addition, the results were presented as the case studies.

클래스들 간의 정적ㆍ동적 관계에 의한 2단계 컴포넌트 식별방법 (A Two-Phase Component Identification Method using Static and Dynamic Relationship between Classes)

  • 최미숙;조은숙;박재년;하종성
    • 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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    • 제11권1호
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    • pp.1-14
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    • 2005
  • 컨포넌트 개발 프로세스에서 재사용 가능한 독립적인 컴포넌트의 식별은 가장 중요한 작업이면서 어려운 작업이다. 따라서 현존하는 컴포넌트 개발 방법론들에서는 컴포넌트 식별을 위해서 체계적이고 명확한 기준이 제시되지 않아 대다수 개발자의 직관과 경험에 의존하고 있다. 그 결과 평이한 개발자에 의해서 소프트웨어의 재사용 단위인 컴포넌트를 식별하기가 쉽지 않다. 따라서 본 논문에서는 컴포넌트를 용이하게 식별할 수 있도록 유스케이스 다이어그램, 클래스 다이어그램 그리고 시퀀스 다이어그램 등 도메인 모델을 기반으로 컨포넌트를 식별하는 기준과 방법을 제시한다. 본 논문에서는 2단계 즉, 시스템 컨포넌트 식별과 비즈니스 컴포넌트 식별을 통하여 컴포넌트론 식별하는 방법을 제시한다. 특히, 제안된 기법에서는 컴포넌트 식별에 있어서 구조적 특성뿐만 아니라 메소드 호출 유형과 방향에 따른 의존성 특성을 함께 괴려하고 있다 이러한 제안된 기법의 실용성을 검증하기 위해 사례 연구와 기존 식별 방법과의 비교 분석 및 평가를 제시한다.

주성분분석 및 독립성분분석을 이용한 이차원 영상에서의 다중해상도 거리 측정 (A Multi-Resolution Distance Measure for Two Dimensional Images Using Principal Component Analysis and Independent Component Analysis)

  • 홍준식
    • 한국정보과학회:학술대회논문집
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    • 한국정보과학회 2002년도 봄 학술발표논문집 Vol.29 No.1 (A)
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    • pp.247-249
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    • 2002
  • 본 논문에서는 주성분 분석(principal component analysis; 이하 PCA) 및 독립성분분석(independent component analysis; 이하 ICA)을 이용, 이차원 영상을 분류하여 다중해상도에서 영상간의 거리를 측정하여 PCA 와 ICA 중에서 어느 것이 영상간의 상대적 식별을 용이하게 하는지 모의 실험을 통하여 확인하고자 한다. 모의 실험 결과로부터, ICA가 PCA에 비하여 영상간의 상대적 식별이 용이하여 빨리 수렴이 되는 것을 모의 실험을 통하여 확인하였다.

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Sensitivity Analysis in Principal Component Regression with Quadratic Approximation

  • Shin, Jae-Kyoung;Chang, Duk-Joon
    • Journal of the Korean Data and Information Science Society
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    • 제14권3호
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    • pp.623-630
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    • 2003
  • Recently, Tanaka(1988) derived two influence functions related to an eigenvalue problem $(A-\lambda_sI)\upsilon_s=0$ of real symmetric matrix A and used them for sensitivity analysis in principal component analysis. In this paper, we deal with the perturbation expansions up to quadratic terms of the same functions and discuss the application to sensitivity analysis in principal component regression analysis(PCRA). Numerical example is given to show how the approximation improves with the quadratic term.

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CH-OH PLIF와 Stereoscopic PIV동시계측에 의한 난류예혼합화염의 관찰 (Simultaneous Measurements of CH-OH PLIF and Stereoscopic PIV in Turbulent Premixed Flames)

  • 최경민
    • 한국연소학회:학술대회논문집
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    • 한국연소학회 2004년도 제29회 KOSCI SYMPOSIUM 논문집
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    • pp.91-96
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    • 2004
  • Simultaneous CH and OH planar laser induced fluorescence(PLIF) and stereoscopic particle image velocimetry (PIV) measurements have been developed to investigate the local flame structure of turbulent premixed flames. The developed simultaneous two radical concentrations and three component velocity measurements on a two-dimensional plane was applied for relatively high Reynolds number turbulent premixed flames in a swirl stabilized combustor. All measurements were conducted for methane-air premixed flames in the corrugated flamelets regime. Strong three-dimensional fluctuation implies that misunderstanding of the flame/turbulent interactions would be caused by the analysis of two-component velocity distribution in a cross section. Furthermore, comparisons of CH-OH PLIF and three-component velocity field show that the burned gases not always have high-speed velocity in relatively high Reynolds number turbulent premixed flame. The Reynolds number dependence of the flame front was clearly captured by the simultaneous CH-OH PLIF and stereoscopic PIV measurements.

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Construction of Methanol-Sensing Escherichia coli by the Introduction of a Paracoccus denitrificans MxaY-Based Chimeric Two-Component System

  • Ganesh, Irisappan;Vidhya, Selvamani;Eom, Gyeong Tae;Hong, Soon Ho
    • Journal of Microbiology and Biotechnology
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    • 제27권6호
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    • pp.1106-1111
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    • 2017
  • Escherichia coli was engineered to sense methanol by employing a chimeric two-component system (TCS) strategy. A chimeric MxaY/EnvZ (MxaYZ) TCS was constructed by fusing the Paracoccus denitrificans MxaY with the E. coli EnvZ. Real-time quantitative PCR analysis and GFP-based fluorescence analysis showed maximum transcription of ompC and the fluorescence at 0.01% of methanol, respectively. These results suggested that E. coli was successfully engineered to sense methanol by the introduction of chimeric MxaYZ. By using this strategy, various chimeric TCS-based bacterial biosensors can be constructed and used for the development of biochemical-producing recombinant microorganisms.