• Title/Summary/Keyword: curve model

검색결과 3,416건 처리시간 0.03초

Model-independent constraints on the light-curve parameters and reconstructions of the expansion history from Type Ia supernovae

  • 구한울
    • 천문학회보
    • /
    • 제44권2호
    • /
    • pp.54.1-54.1
    • /
    • 2019
  • We use iterative smoothing reconstruction method along with exploring in the parameter space of the light curves of the JLA supernova compilation (Joint Light-curve Analysis) to simultaneously reconstruct the expansion history of the universe as well as putting constrains on the light curve parameters without assuming any cosmological model. Our constraints on the light curve parameters of the JLA from our model-independent analysis seems to be closely in agreement with results assuming ΛCDM cosmology or using Chevallier-Polarski-Linder (CPL) parametrization for the equation of state of dark energy. This implies that there is no hidden significant feature in the data that could be neglected by cosmology model assumption. The reconstructed expansion history of the universe and properties of dark energy seems to be in good agreement with expectations of the standard ΛCDM model. Our results also indicate that the data allows a considerable flexibility for expansion history of the universe.

  • PDF

폭발해석을 위한 간략 폭발하중 제안식 (A Suggestion of Simplified Load Formula for Blast Analysis)

  • 전두진;한상을
    • 한국전산구조공학회논문집
    • /
    • 제29권1호
    • /
    • pp.67-75
    • /
    • 2016
  • 본 논문에서는 폭발해석에서 주로 사용되는 폭발하중의 압력-시간 이력곡선과 폭발하중 산정식인 Conwep 모델을 소개하고, 이를 더욱 간편하게 계산할 수 있는 간략 폭발하중 산정식을 제안한다. 폭발해석에서 폭발하중은 일반적으로 압력-시간 이력곡선의 형태로 적용되며, 그에 대한 주요 값들은 폭발하중 산정식에 의해 계산된다. 대부분의 폭발해석에서 사용되는 폭발하중 산정식인 Conwep 모델은 환산거리(scaled distance)를 핵심변수로 하여 계산되는데, 그 계산 과정이 매우 복잡한 단점이 있다. 따라서 본 논문에서는 환산거리를 변수로 갖는 간략한 유리식을 사용하여 주요 값들을 계산하고, 단순화된 압력-시간 이력곡선으로 폭발하중을 산정할 수 있도록 제안하였다. 간략식을 찾는 과정에서 Conwep 모델의 계산 결과를 바탕으로 곡선 적합(curve fitting) 방식이 사용되었으며, 제안된 간략식에 의한 주요 값의 계산 결과는 Conwep 모델과 비교하여 1% 미만의 오차를 갖는다. 또한, 유한요소를 이용한 폭발해석에 적용하였으며 Conwep 모델을 적용한 결과와 비교를 통해 검증하였다.

Non-linear modelling to describe lactation curve in Gir crossbred cows

  • Bangar, Yogesh C.;Verma, Med Ram
    • Journal of Animal Science and Technology
    • /
    • 제59권2호
    • /
    • pp.3.1-3.7
    • /
    • 2017
  • Background: The modelling of lactation curve provides guidelines in formulating farm managerial practices in dairy cows. The aim of the present study was to determine the suitable non-linear model which most accurately fitted to lactation curves of five lactations in 134 Gir crossbred cows reared in Research-CumDevelopment Project (RCDP) on Cattle farm, MPKV (Maharashtra). Four models viz. gamma-type function, quadratic model, mixed log function and Wilmink model were fitted to each lactation separately and then compared on the basis of goodness of fit measures viz. adjusted $R^2$, root mean square error (RMSE), Akaike's Informaion Criteria (AIC) and Bayesian Information Criteria (BIC). Results: In general, highest milk yield was observed in fourth lactation whereas it was lowest in first lactation. Among the models investigated, mixed log function and gamma-type function provided best fit of the lactation curve of first and remaining lactations, respectively. Quadratic model gave least fit to lactation curve in almost all lactations. Peak yield was observed as highest and lowest in fourth and first lactation, respectively. Further, first lactation showed highest persistency but relatively higher time to achieve peak yield than other lactations. Conclusion: Lactation curve modelling using gamma-type function may be helpful to setting the management strategies at farm level, however, modelling must be optimized regularly before implementing them to enhance productivity in Gir crossbred cows.

Empirical Equation을 이용한 고분자전해질 연료전지의 전압 손실에 대한 연구 (Study of Voltage Loss on Polymer Electrolyte Membrane Fuel Cell Using Empirical Equation)

  • 김기석;구영모;김준범
    • 공업화학
    • /
    • 제29권6호
    • /
    • pp.789-798
    • /
    • 2018
  • 고분자전해질 연료전지(PEMFC)의 성능을 예측할 수 있는 empirical equation의 역할이 중요하게 대두되고 있다. 본 연구에서는 polarization curve에서 activation loss, ohmic loss, mass transfer loss 영역을 분리하였고, 현재까지 개발된 model 중 Kim의 model과 Hao의 model을 선정하여 각 영역의 fitting을 시행하였다. 온도, 압력, 산소 농도 및 막 두께를 운전변수로 설정하여 조건 변화에 대한 각 loss의 변화를 비교하였다. 기존 model은 전반적으로 좋은 fitting 정확도를 보였지만, 분리된 loss 영역에서는 부정확한 fitting 결과를 보이기도 하였다. 연료전지 성능 예측의 정확도를 개선하기 위하여 converge coefficient를 도입한 새로운 model을 제안하였다. 본 연구에서 제안한 model을 연료전지 성능 예측에 적용한 경우에 신뢰도 평가에서 개선된 결과를 얻을 수 있었다.

Quantifying the Technology Level of Production System for Technology Transfer

  • Yamane, Yasuo;Takahashi, Katsuhiko;Hamada, Kunihiro;Morikawa, Katsumi;Bahagia, Senator Nur;Diawati, Lucia;Cakravastia, Andi
    • Industrial Engineering and Management Systems
    • /
    • 제10권2호
    • /
    • pp.97-103
    • /
    • 2011
  • This paper develops a technology level quantification (TLQ) model by utilizing a learning curve. Original learning curve shows the relationship between cumulative number of units and the required time for the unit. On the other hand, in our developed model, the technology level, such as speed of production and quality of the produced items, is expressed as a function of not cumulative number of units but time, for increasing generality. Furthermore, for expressing each learning that consists of conceptual learning and operational learning, S-curve is utilized in our developed model. By fitting the S-curve and/or decomposing into some activities, our TQL model can be applied to approximate organizational and complicated process. Some variations in time and levels, parameters of our developed model are shown. By using the parameters, the procedure to identify our developed model is proposed. Also, the influential factors for the parameters of our developed model are discussed with classifying the factors into technoware, infoware, humanware, and orgaware. The expected technology level is utilized for expecting the capacity of production system, and the expected capacity can be utilized in predicting various changes in the organization and deciding managerial decision about TT. A case study in manufacturing industry shows the effectiveness of the developed model.

지진하중을 받는 철근콘크리트 원형교각의 전단성능곡선 모델 (Shear Capacity Curve Model for Circular RC Bridge Columns under Seismic Loads)

  • 이재훈;고성현;정영수
    • 한국지진공학회논문집
    • /
    • 제10권2호
    • /
    • pp.1-10
    • /
    • 2006
  • 형상비가 상대적으로 작은 철근콘크리트 교각에 지진작용으로 인한 반복 횡하중이 작용하면 초기단계와 중간단계의 변위에서는 휨 거동을 보이다가 최종변위단계에서는 전단에 의해 파괴되는 휨-전단 거동을 보인다. 휨-전단 파괴거동을 보이는 교각은 휨 파괴거동을 보이는 교각에 비하여 연성능력이 저하되므로, 내진설계 또는 내진성능평가에서 극한변위를 해석적으로 결정하기 위해서는 휨성능곡선과 함께 전단성능곡선 모델을 적용하여야 한다. 본 논문에서는 원형교각에 대한 기존 모델을 수정한 전단성능곡선 모델을 제안하였고, CALTRANS 모델, Aschheim등의 모델, Priestley 등의 모델, 제안모델의 특징을 비교하였다. 또 국내에서 수행된 실물크기 기둥 실험체를 대상으로 전단성능곡선 모델을 평가하였다. 제한된 범위의 소수 실험결과에 대한 적용으로서 일반화하기는 어려울 것이지만, 실험결과와 비교 검토한 결과 제안모델이 파괴형태의 예측과 변위성능 예측의 정확도에서 매우 우수한 것으로 평가되었다.

Analytical polarization curve of DMFC anode

  • Kulikovsky, A.A.
    • Advances in Energy Research
    • /
    • 제1권1호
    • /
    • pp.35-52
    • /
    • 2013
  • A model for DMFC anode performance is developed. The model takes into account potential--independent methanol adsorption on the catalyst surface, finite rate of proton transport through the anode catalyst layer (ACL), and a potential loss due to methanol transport in the anode backing layer. An approximate analytical half--cell polarization curve is derived and equations for the anode limiting current density are obtained. The polarization curve is fitted to the curves measured by Nordlund and Lindbergh and parameters resulted from the fitting are discussed.

모델 불확실성을 갖는 이차 오실레이터에 대한 근사화된 최대 시간 교란 신호 설계 (Near Time Maximum Disturbance Design for Second Order Oscillator with Model Uncertainty)

  • 유관호
    • 대한전기학회논문지:시스템및제어부문D
    • /
    • 제52권4호
    • /
    • pp.205-211
    • /
    • 2003
  • In this paper we propose a disturbance design method to test a system's stability. It is shown that the time maximum disturbance is represented in bang-bang and state feedback form. To maximize the time severity index, the value of disturbance is determined by the associated switch curve. The original switch curve is vulnerable to model uncertainties and takes much calculation time. We propose an improved method to approximate the original switch curve. This reduces the computational time and implements sufficiently to test the stable system. Simulation results show how the approximate switch curve can be used to stress a system by driving it to oscillation along the maximum limit cycle.

Monotone Local Linear Quasi-Likelihood Response Curve Estimates

  • Park, Dong-Ryeon
    • Communications for Statistical Applications and Methods
    • /
    • 제13권2호
    • /
    • pp.273-283
    • /
    • 2006
  • In bioassay, the response curve is usually assumed monotone increasing, but its exact form is unknown, so it is very difficult to select the proper functional form for the parametric model. Therefore, we should probably use the nonparametric regression model rather than the parametric model unless we have at least the partial information about the true response curve. However, it is well known that the nonparametric regression estimate is not necessarily monotone. Therefore the monotonizing transformation technique is of course required. In this paper, we compare the finite sample properties of the monotone transformation methods which can be applied to the local linear quasi-likelihood response curve estimate.

Simplified P-M interaction curve model for reinforced concrete columns exposed to standard fire

  • Lee, Deuck Hang;Cheon, Na-Rae;Kim, Minsu;Lee, Jungmin;Oh, Jae-Yuel;Kim, Kang Su
    • Computers and Concrete
    • /
    • 제19권5호
    • /
    • pp.545-553
    • /
    • 2017
  • In the authors' previous study, an axial force-flexural moment (P-M) interaction curve model was proposed to evaluate fire-resisting performances of reinforced concrete (RC) column members. The proposed method appeared to properly consider the axial and flexural strength degradations including the secondary moment effects in RC columns due to fire damage. However, the detailed P-M interaction curve model proposed in the authors' previous study requires somewhat complex computational procedures and iterative calculations, which makes it difficult to be used for practical design in its current form. Thus, the aim of this study was to develop a simplified P-M interaction curve model of RC columns exposed to fire considering the effects of fire damage on the material performances and magnitudes of secondary moments. The simplified P-M interaction model proposed in this study was verified using 66 column fire test results collected from literature, and the verification results showed that the proposed simplified method can provide an adequate analysis accuracy of the failure loads and fire-resisting times of the RC column specimens.