• 제목/요약/키워드: factorial

검색결과 1,564건 처리시간 0.028초

Consideration of the Effect of Miscellaneous Factors on Frost Resistance of High Strength Concrete by Using the Factorial Design Method

  • 권영진
    • 콘크리트학회논문집
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    • 제16권2호
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    • pp.269-275
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    • 2004
  • Factorial design method is applied to investigate the effects of various factors simultaneously rather than to conduct a series of single-factor experiment. As the results, frost resistance of the concrete specimens, in both W/C ratio of 0.28 and 0.35, was highly affected by the type of coarse aggregate that is, andesite produced more durable concrete than the limestone. Durability factor of the specimens, with W/C ratio of 0.28, which were demolded after I day and transferred to the curing room was higher than those demolded after 2 days. This stated the efficiency of the high early curing in high strength concrete.

이원배치법을 이용한 공기압 실린더의 가속수명시험에 관한 연구 (Research on accelerated life test of pneumatic cylinder using two-way factorial design)

  • 강보식;김형의;유영철
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2008년도 추계학술대회A
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    • pp.1303-1308
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    • 2008
  • In this study, we researched how to estimate life-stress relationship and acceleration factor through performing accelerated life test and analyzing it. The purpose of this study is to predict life of pneumatic cylinder within short time which is widely used in automation manufacturing line. In design of accelerated life test, we selected operating pressure and load that have the most influence on main failure mode of pneumatic cylinder as accelerated factor. We used two-way factorial design for arranging of test condition to accelerated factor and accelerated level.

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다구찌 방법과 실험계획법을 이용한 소음기의 설계 방법 (Design of Muffler using Taguchi Method and Experimental Design)

  • 오재응;차경준;이규태;진정언
    • 한국자동차공학회논문집
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    • 제7권5호
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    • pp.121-129
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    • 1999
  • Recently, the regulations from the govemment and the concems of the people give rise to the interest in exhaust noise of passenger car as much as other vehicles. The exact analysis of various mufflers is needed to reduce the level of exhaust noise. In this paper, we propose a design to improve the mufflers capacity by reducing noise of exhaust system combining Taguchi method and fractional factorial design. In order to measure the performance of a muffler, the performance prediction software which is developed by the Dept. of Automotive Engineering at Hanyang University is used. From the current muffler system we select control factors such as lenght and radius of each component that are thought to be effective on capacity of muffler. Factors are arranged using L18, L27 table of orthogonal array and the fractional factorial design for analysis. We find some significant interaction effects using 1/3 fractional factorial design and accomplish the reduction of noise from the muffler.

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Power Comparison in a Balanced Factorial Design with a Nested Factor

  • Choi, Young-Hun
    • Journal of the Korean Data and Information Science Society
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    • 제19권4호
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    • pp.1059-1071
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    • 2008
  • In a balanced factorial design with a nested factor where crossed factors as well as a nested factor exist simultaneously, powers of the rank transformed FR statistic for testing the main, nested and interaction effects are superior to those of the parametric F statistic. In heavy tailed distributions such as exponential and double exponential distributions, powers of the FR statistic show much higher level than those of the F statistic. Further powers of the F and FR statistic for testing the main effect show the highest level in an absolute size as compared with powers of the F and FR statistic for testing the nested and interaction effects. However powers of the FR statistic for testing the nested and interaction effects rather than the main effect are greater in a relative size than powers of F statistic for the all population distributions.

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요인실험계획을 이용한 수도관 생물막 형성 영향 인자의 효과 분석 (Analysis of Effects of Factors Influencing Biofilm Formation in Drinking Water Distribution Pipe Using Factorial Experimental Design)

  • 박세근;최성찬;김영관
    • 상하수도학회지
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    • 제19권2호
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    • pp.181-192
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    • 2005
  • This study evaluated the effect of factors influencing the initial biofilm formation in drinking water distribution pipe by running experiments using a $2^{4-1}$ fractional factorial experimental design with a replicate. Important variables used for assessing biofilm formation included BDOC(biodegradable dissolved organic carbon), viable heterotrophic bacteria present in drinking water, water temperature, and shear stress at two levels each. Based on the statistical analysis of biofilm levels measured as attached HPC(heterotrophic plate count) and community-level assay, the main factors that have significant effects on biofilm formation were found to be viable heterotrophic bacteria and BDOC. Water temperature only exhibited significant effect on the levels of attached HPC, while shear stress was not a significant factor under given conditions. Moreover, the statistical analysis revealed that interactions between the important variables were not statistically significant at a 0.05 significance level.

Number of Equivalence Classes of a Parallel Flats Fraction for the 3" Factorial Design

  • Um, Jung-Koog
    • Journal of the Korean Statistical Society
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    • 제10권
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    • pp.122-127
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    • 1981
  • A parallel flats fraction for the $3^n$ factorial is symbolically written as $At=C=(C_1 C_2 \cdots C_f)$ where C is a rxf matrix and A is rxn matrix with rank r. It is shown that the set of all possible parallel flats fraction C for a given A and given size can be partitioned into equivalence classes. The number of those classes are enumerated in general.

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A Lattice Distribution

  • Chung, Han-Young
    • Journal of the Korean Statistical Society
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    • 제10권
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    • pp.97-104
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    • 1981
  • It is shown that a lattice distribution defined on a set of n lattice points $L(n,\delta) = {\delta,\delta+1,...,\delta+n-1}$ is a distribution induced from the distribution of convolution of independently and identically distributed (i.i.d.) uniform [0,1] random variables. Also the m-th moment of the lattice distribution is obtained in a quite different approach from Park and Chung (1978). It is verified that the distribution of the sum of n i.i.d. uniform [0,1] random variables is completely determined by the lattice distribution on $L(n,\delta)$ and the uniform distribution on [0,1]. The factorial mement generating function, factorial moments, and moments are also obtained.

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Wear Property of $Al_2O_3-Particle-Reinforced$ Aluminium Composite

  • Sahin, Y.;Motorcu, A.Riza
    • 한국윤활학회:학술대회논문집
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    • 한국윤활학회 2002년도 proceedings of the second asia international conference on tribology
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    • pp.201-202
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    • 2002
  • The abrasive wear behaviour of $Al_2O_3$ particle-reinforced aluminium composite was investigated. The wear rate of the composite and the matrix alloy has been expressed in terms of the applied load, sliding distance and particle size using linear factorial design approach.

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2-수준계 Resolution V 최소 부분실험법의 최적성에 관한 연구 (Study on the Optimality of 2-level Resolution V Minimal Fractional Factorial Designs)

  • 김강익
    • 품질경영학회지
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    • 제32권3호
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    • pp.234-243
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    • 2004
  • In this paper, we study the optimality of 2-level resolution V minimal fractional factorial designs which can be constructed by using a partially balanced array. Moreover the relative efficiencies of such designs are compared in the sense of three optimality criteria such as determinant(D)-optimality, trace(A)-optimality, and eigenvalue(E) -optimality criterion.

A Study on One Factorial Longitudinal Data Analysis with Informative Drop-out

  • Lee, Ki-Hoon
    • Journal of the Korean Data and Information Science Society
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    • 제17권4호
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    • pp.1053-1065
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    • 2006
  • This paper proposes a method in one-way layouts for longitudinal data with informative drop-out. When dropouts are informative, that is, correlated with unobserved data and/or the previous observed data, the simple imputation methods such as 'last observation carried forward' (LOCF) methods would arise the bias of the testing models. The maximum likelihood procedure combined with a logit model for the drop-out process is proposed to test treatment effects for one factorial designs and compared with LOCF method in two examples.

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