• 제목/요약/키워드: normal mixtures

검색결과 157건 처리시간 0.023초

메탄-공기 예혼합기의 열면점화에 미치는 촉매반응 및 자연대류의 영향 (Effects of Catalytic Reaction and Natural Convection on the Hot Surface Ignition of Methane-Air Mixtures)

  • 김형만;정종수
    • 한국연소학회지
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    • 제2권1호
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    • pp.29-38
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    • 1997
  • In this study, the experimental and numerical investigations of the ignition of methane-air mixtures by a electrically heated wire have been carried out. In order to define the initial condition and make the analysis simple, the following control unit was developed; which heats the wire to the setting temperature in a very short time, and maintains the wire temperature constant until ignition. Experiments with the feedback control have been performed using nickel and platinum wires in normal gravity and microgravity. From experimental results, ignition temperatures in normal gravity are higher than those in microgravity, however, the dependences of ignition temperature on equivalence ratio are not affected by natural convection. Numerical calculations, including catalytic reaction for platinum, have been performed to analyze the experimental results in microgravity. Numerical results show that reactants near platinum wire are consumed by catalytic reaction, therefore, the higher temperature is needed to ignite the mixture with platinum wire.

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산업부산물을 혼화재로 사용한 콘크리트의 특성에 관한 실험적 연구 (An Experimental Study on Properties of Concrete using Industrial Wastes)

  • 성찬용
    • 한국농공학회지
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    • 제41권6호
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    • pp.75-81
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    • 1999
  • This study is performed to evaluate theproperties of concrete using industrial wastes such as fly ash, zeolite powder and blast furnace slag powder. Seven types of concrete mixtures are made in this study. Water0reducing admixture and air entaining agent are used for all mixtures. Test results, the hydration evolution amounts are decreased by 2 ∼31 % than that of the normal portland cement and air contents of concrete are decreased by 1 ∼15% and compressive strengths are increased by 2∼10% at the curing age 28 days than that of the normal portland cement concrete. Accordingly, concrete using industrial wastes will greatly improve the properties of concrete.

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정규혼합분포를 이용한 ROC 분석 (ROC Curve Fitting with Normal Mixtures)

  • 홍종선;이원용
    • 응용통계연구
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    • 제24권2호
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    • pp.269-278
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    • 2011
  • 스코어 변수의 민감도와 특이도와의 관계로 표현한 ROC 곡선을 더욱 정확한 진단을 위하여 분포함수와 공변량을 고려한 연구가 많이 진행되었다. 공변량을 고려하는 회귀분석 방법을 사용하였으며 이때 분포함수를 정규분포로 가정하거나 잔차의 분포함수를 추정하여 ROC 분석을 하였다. 본 연구는 분포함수가 주어지지 않으며 진단에 영향을 주는 공변량을 모르는 일반적인 상황에서 논의하였다. 확률변수인 스코어와 두 개의 보모집단으로 구성된 신용평가 자료에 적합한 분포함수를 추정하기 위하여 여러 개의 정규분포가 혼합된 정규혼합분포를 사용하여 ROC 분석을 한다. 고전적인 비모수적이고 경험적인 ROC 곡선에 적합한지를 파악하기 위하여 AUC 통계량을 사용하여 비교하며, 본 연구에서 제안한 정규혼합분포를 이용한 ROC 곡선이 다른 방법으로 구한 ROC 곡선보다 적합함을 보였다.

고성능 콘크리트 배합 설계에서의 유전자 알고리즘의 적용 (Genetic Algorithm in Mix Proportioning of High -Performance Concrete)

  • 임철현;윤영수;이승훈;손유신
    • 한국콘크리트학회:학술대회논문집
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    • 한국콘크리트학회 2002년도 봄 학술발표회 논문집
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    • pp.551-556
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    • 2002
  • High-performance concrete is defined as concrete that meets special combinations of performance and uniformity requirements that cannot always be achieved routinely using conventional constituents and normal mixing, placing, and curing practices. Ever since the term high-performance concrete was introduced into the industry, it had widely used in large-scale concrete construction that demands high-strength, high-flowability, and high-durability. To obtain such performances that cannot be obtained from conventional concrete and by the current method, a large number of trial mixes are required to select the desired combination of materials that meets special performance. In this paper, therefore, using genetic algorithm which is a global optimization technique modeled on biological evolutionary process-natural selection and natural genetics-and can be used to find a near optimal solution to a problem that may have many solutions, the new design method for high-performance concrete mixtures is suggested to reduce the number of trial mixtures with desired properties in the field test. Experimental and analytic investigations were carried out to develop the design method for high-performance concrete mixtures and to verify the proposed mix design.

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Structural performance of recycled aggregates concrete sourced from low strength concrete

  • Goksu, Caglar;Saribas, Ilyas;Binbir, Ergun;Akkaya, Yilmaz;Ilki, Alper
    • Structural Engineering and Mechanics
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    • 제69권1호
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    • pp.77-93
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    • 2019
  • Although much research has been carried out using recycled aggregates sourced from normal strength concrete, most of the buildings to be demolished are constructed with low strength concrete. Therefore, the properties of the concrete incorporating recycled aggregates, sourced from the waste of structural elements cast with low strength concrete, were investigated in this study. Four different concrete mixtures were designed incorporating natural and recycled aggregates with and without fly ash. The results of the mechanical and durability tests of the concrete mixtures are presented. Additionally, full-scale one-way reinforced concrete slabs were cast, using these concrete mixtures, and subjected to bending test. The feasibility of using conventional reinforced concrete theory for the slabs made with structural concrete incorporating recycled aggregates was investigated.

Robust Bayesian Analysis in Finite Population Sampling with Auxiliary Information

  • Lee, Seung-A;Suh, Sang-Hyuck;Kim, Dal-Ho
    • Journal of the Korean Data and Information Science Society
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    • 제17권4호
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    • pp.1309-1317
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    • 2006
  • The paper considers some Bayes estimators of the finite population mean with auxiliary information under priors which are scale mixtures of normal, and thus have tail heavier than that of the normal. The proposed estimators are quite robust in general. Numerical methods of finding Bayes estimators under these heavy tailed priors are given, and are illustrated with an actual example.

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On a Skew-t Distribution

  • Kim, Hea-Jung
    • Communications for Statistical Applications and Methods
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    • 제8권3호
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    • pp.867-873
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    • 2001
  • In this paper we propose a family of skew- f distributions. The family is derived by a scale mixtures of skew-normal distributions introduced by Azzalini (1985) and Henze (1986). The salient features of the family are mathematical tractability and strict inclusion of the normal law. Further it includes a shape parameter, to some extent, controls the index of skewness. Necessary theory involved in deriving the family of distributions is provided and main properties of the family are also studied.

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Robust Bayesian Models for Meta-Analysis

  • Kim, Dal-Ho;Park, Gea-Joo
    • Journal of the Korean Data and Information Science Society
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    • 제11권2호
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    • pp.313-318
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    • 2000
  • This article addresses aspects of combining information, with special attention to meta-analysis. In specific, we consider hierarchical Bayesian models for meta-analysis under priors which are scale mixtures of normal, and thus have tail heavier than that of the normal. Numerical methods of finding Bayes estimators under these heavy tailed prior are given, and are illustrated with an actual example.

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Mapping Particle Size Distributions into Predictions of Properties for Powder Metal Compacts

  • German, Randall M.
    • 한국분말야금학회:학술대회논문집
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    • 한국분말야금학회 2006년도 Extended Abstracts of 2006 POWDER METALLURGY World Congress Part2
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    • pp.704-705
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    • 2006
  • Discrete element analysis is used to map various log-normal particle size distributions into measures of the in-sphere pore size distribution. Combinations evaluated range from monosized spheres to include bimodal mixtures and various log-normal distributions. The latter proves most useful in providing a mapping of one distribution into the other (knowing the particle size distribution we want to predict the pore size distribution). Such metrics show predictions where the presence of large pores is anticipated that need to be avoided to ensure high sintered properties.

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정규혼합분포에서 최소오류의 분류정확도 측도 (Classification accuracy measures with minimum error rate for normal mixture)

  • 홍종선;;홍선우;김강천
    • Journal of the Korean Data and Information Science Society
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    • 제22권4호
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    • pp.619-630
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    • 2011
  • 본 연구에서는 두 분포함수의 혼합된 자료에서 적절한 분류점을 추정하고 평가하기 위하여 많이 사용하는 아홉 종류의 분류정확도 측도인 MVD, Youden지수, (0,1)까지최단기준, 수정된 (0,1)까지 최단기준, SSS, 대칭점, 정확도면적, TA, TR을 다섯 개의 조건범주로 군집시킨다. 신용평가분석에서 정상과 부도상태의 스코어 확률변수가 정규분포를 따르며 전체부도율로 혼합되었다고 가정한다. 다양한 정규혼합분포의 상황에서 군집된 측도들의 최적분류점을 발견하고, 그 분류점에 대응하는 제I종 오류율과 제II종 오류율 그리고 두 종류의 오류율 합을 구하여 각각의 오류율이 최소인 경우를 탐색적으로 살펴본다. 현실자료에 적합한 정규혼합분포를 추정하여 본 연구 결과를 적용하면 최소 오류율이 보장되는 분류정확도를 선택할 수 있으며, 이를 사용하여 모형의 판별력을 향상시킬 수 있다.