• 제목/요약/키워드: parameter factor

검색결과 1,607건 처리시간 0.03초

동축 이중제한분류의 상사성에 대한 실험적 연구 (An Experimental Study on the Similarity of Confined Coaxial Jets)

  • 사용철;이태환;이준식
    • 대한기계학회논문집
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    • 제19권5호
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    • pp.1291-1299
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    • 1995
  • In confined coaxial jets, the flow-mixing characteristics depend on the initial conditions at the nozzle outlet such as velocity ratio and nozzle radius ratio. In this study, nozzle ratio(inner/outer) was 0.3. Longitudinal axial velocity, turbulent intensity and Reynolds shear stress were measured by CTA. Measurements were made from the duct inlet to the region where similarity solution could exist. This study investigated flow charicteristics according to the variation of similitude parameter which was derived from the theory of Craya-Cutet. The range of similarity region depends on the variation of the similitude patameter. The form factor obtained from the axial velocity profile in the similarity region was constant. The higher the similitude parameter, the wider the spread rate of the jets. Due to this fact, the similarity conditions developed more quickly and the region where the similarity holds became narrow. Present experimental data confirmed the validity of Craya-Curtet theory.

Uncertainty and Sensitivity Analysis on A Biosphere Model

  • Park, Wan-Sou;Kim, Tae-Woon;Lee, Kun-Jai
    • Journal of Radiation Protection and Research
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    • 제15권2호
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    • pp.101-112
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    • 1990
  • For the performance assessment of the radioactive waste disposal system (repository), a biosphere model is suggested. This biosphere model is intended to calculate the annual doses to man caused by the contaminated river water for eight pathways and four radionuclides. This model can also be applied to assess the radiological effects of contaminated well water. To account for the uncertainties on the model parameter values, parameter distributions are assigned to these model parameters. Then, Monte Carlo simulation method with Latin Hypercube sampling technique is used. Also, sensitivity analysis is performed by using the Spearman rank correlation coefficients. It is found that these methods are a very useful tool to treat uncertainties and sensitivities on the model parameter values and to analyze the biosphere model. A conversion factor is proposed to calculate the annual dose rate to humans arising from a unit radionuclide concentration in river water. This conversion factor allows for the substitution of the biosphere model in a probabilistic performance assessment computer code by one single variable.

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불감대를 사용한 최소자승법의 일반화 (A Generalized Least Square Method using Dead Zone)

  • 이하정;최종호
    • 대한전기학회논문지
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    • 제37권10호
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    • pp.727-732
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    • 1988
  • In this paper, a parameter estimation method of linear systems with bounded output disturbances is studied. The bound of the disturbances is assumed to known Weighting factors are proposed to modify LS(Least Square) algorithm in the parameter estimation method. The conditions of weighting factors are given so that the estimation method has good convergence properties. This condition is more relaxed form than other known conditions. The compensation term in the estimation equations is represented by a function of the output prediction error and this function should lie in a specified region on x-y plane to satisfy these conditions of weighting factors. A set of weighting factor is selected and an algorithm is proposed using this set of weighting factor. The proposed algorithm is compared with another existing algorithm by simulation and its performance in parameter estimation id discussed.

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신호인자와 특성치가 연속형 변수인 경우를 고려한 동적파라미터 설계 절차에 관한 연구 (A Study on Dynamic Parameter Design Procedure Considering the Signal Factor and the Quality Characteristics with Continuous Variable)

  • 배홍석;이만웅;송서일
    • 산업경영시스템학회지
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    • 제19권39호
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    • pp.243-254
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    • 1996
  • In this study, a model and an analysis method for parameter design is presented a linear relation between the input signal and the ideal value of a performance characteristic. Furthermore, There presented a new performance measure, expected quality loss after adjustment, which is proved to be equivalent to Taguchi's SN ratio approximately. On the basis of this, a two-step optimization procedure is proposed for parameter design considering the signal factor and the quality characteristics with continuous variable. Proposed procedure and Taguchi two-stage procedure are compared.

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가변 축척 매개변수를 가진 변형 확률적 경사도 기반 필터의 해석 (Analysis of a Modified Stochastic Gradient-Based Filter with Variable Scaling Parameter)

  • 김해정
    • 한국통신학회논문지
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    • 제31권12C호
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    • pp.1280-1287
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    • 2006
  • 본 논문은 변형 확률적 경사도 기반 (MSGB) 필터를 제안하고 그 필터가 최적화 문제에 대한 해가 될 수 있음을 보여준다. 갱신항으로 첨가된 가변적 축척 매개변수를 가진 비선형 적응 필터인 MSGB 필터의 특성을 분석 한다. 가변 매개변수의 MSGB 필터는 가변 축척 매개변수를 통하여 고정 매개변수의 MSGB 필터와 무매개변수의 MSGB 필터를 연결하는 역할을 한다. 그 안정성 영역과 오조정량도 살펴본다. 시스템 식별에 응용하여 컴퓨터 모의실험을 실행하여 MSGB 필터의 개선된 성능 특성을 보여준다.

실무적 적용 관점에서 신뢰성 분포의 유형화 모형의 고찰 (Review of Classification Models for Reliability Distributions from the Perspective of Practical Implementation)

  • 최성운
    • 대한안전경영과학회지
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    • 제13권1호
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    • pp.195-202
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    • 2011
  • The study interprets each of three classification models based on Bath-Tub Failure Rate (BTFR), Extreme Value Distribution (EVD) and Conjugate Bayesian Distribution (CBD). The classification model based on BTFR is analyzed by three failure patterns of decreasing, constant, or increasing which utilize systematic management strategies for reliability of time. Distribution model based on BTFR is identified using individual factors for each of three corresponding cases. First, in case of using shape parameter, the distribution based on BTFR is analyzed with a factor of component or part number. In case of using scale parameter, the distribution model based on BTFR is analyzed with a factor of time precision. Meanwhile, in case of using location parameter, the distribution model based on BTFR is analyzed with a factor of guarantee time. The classification model based on EVD is assorted into long-tailed distribution, medium-tailed distribution, and short-tailed distribution by the length of right-tail in distribution, and depended on asymptotic reliability property which signifies skewness and kurtosis of distribution curve. Furthermore, the classification model based on CBD is relied upon conjugate distribution relations between prior function, likelihood function and posterior function for dimension reduction and easy tractability under the occasion of Bayesian posterior updating.

Study on the size reduction factor of extreme wind pressure of facade cladding of high-rise buildings with square section

  • Xiang Wang;Yong Quan;Zhengwei Zhang;Ming Gu
    • Wind and Structures
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    • 제36권1호
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    • pp.41-60
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    • 2023
  • The effect of cladding panel size on the size reduction factor (SRF) of extreme area-averaging wind pressure (EAWP) on the facades of a high-rise building is often ignored in previous studies. Based on wind tunnel tests, this study investigated the horizontal and vertical correlations of wind pressure on the facade claddings of square-section high-rise buildings. Then, the influencing parameters on the SRF of the EAWP on the cladding panels were analyzed, which were the panel area, panel width, panel length and building width. The results show clear regional distinctions in the correlation of wind pressures on the building facades and the rules of the horizontal and vertical correlations are remarkably different, which causes the cladding size ratio to impact the SRF significantly. Therefore, this study suggests the use of the non-dimensional comprehensive size parameter b𝜶h1-𝜶/B (𝜶 is the fitting parameter) determined by the cladding panel horizontal size b, cladding panel vertical size h and the building width B rather than the cladding panel area to describe the variation of the EAWP. Finally, some empirical formula for the SRF of the EAWP on the cladding of a high-rise building is proposed with the nondimensional comprehensive size parameter.

A Taguchi Approach to Parameter Setting in a Genetic Algorithm for General Job Shop Scheduling Problem

  • Sun, Ji Ung
    • Industrial Engineering and Management Systems
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    • 제6권2호
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    • pp.119-124
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    • 2007
  • The most difficult and time-intensive issue in the successful implementation of genetic algorithms is to find good parameter setting, one of the most popular subjects of current research in genetic algorithms. In this study, we present a new efficient experimental design method for parameter optimization in a genetic algorithm for general job shop scheduling problem using the Taguchi method. Four genetic parameters including the population size, the crossover rate, the mutation rate, and the stopping condition are treated as design factors. For the performance characteristic, makespan is adopted. The number of jobs, the number of operations required to be processed in each job, and the number of machines are considered as noise factors in generating various job shop environments. A robust design experiment with inner and outer orthogonal arrays is conducted by computer simulation, and the optimal parameter setting is presented which consists of a combination of the level of each design factor. The validity of the optimal parameter setting is investigated by comparing its SN ratios with those obtained by an experiment with full factorial designs.

Regionalized Daily Streamflow Model using a Modified Retention Parameter in SCS Method

  • 김대철;박성기;노재경
    • 한국농공학회지
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    • 제32권E호
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    • pp.47-58
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    • 1990
  • Abstract A regionalized daily streamflow model using a modified retention parameter in the SCS method was developed to predict the daily streamflow of a natural series for Korean watersheds. Model verification showed that it is possible to use the model for extending short period records in a gaged watershed or for predicting daily streamflow in any ungaged watershed, with reasonable accuracy by simply inputing the name of the watershed boundary, the watershed size, the latitude and longitude of the watershed, and the daily areal rainfall.

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Bayesian Testing for the Shape Parameter of Gamma Distribution : An Encompassing Approach

  • Moon, Gyoung-Ae
    • Journal of the Korean Data and Information Science Society
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    • 제16권4호
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    • pp.861-870
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    • 2005
  • The Bayesian model selection procedures for the shape parameter of gamma distribution are proposed in order to test that the failure rate of gamma distribution is constant, increasing or decreasing. The encompassing intrinsic Bayes factor by Beger and Pericchi (1996) based on Jeffreys prior for shape parameter is used to investigate the usefulness of the proposed Bayesian model selection procedures via both real data and pseudo data.

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