Results 271 to 280 of about 934,913 (311)
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Improving Input Parameter Estimation in Online Pandemic Simulation
2021 Winter Simulation Conference (WSC), 2021Simulation models are suitable tools to represent the complexity and randomness of hospital systems. To be used as forecasting tools during pandemic waves, it is necessary an accurate estimation, by using real-time data, of all input parameters that define the patient pathway and length of stay in the hospital.
Daniel Garcia-Vicuña, Fermín Mallor
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Calibrating Input Parameters via Eligibility Sets
2020 Winter Simulation Conference (WSC), 2020Reliable simulation analysis requires accurately calibrating input model parameters. While there has been a sizable literature on parameter calibration that utilizes directly observed data, much less attention has been paid to the situation where only output-level data are available to justify input parameter choices.
Yuanlu Bai, Henry Lam
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Uncertainty analysis in PSA with correlated input parameters
International Journal of Systems Assurance Engineering and Management, 2010The probability of occurrence of top event of a fault tree in probabilistic safety assessment (PSA) is estimated from the probabilities of the basic events which constitute the fault tree. However the failure probabilities of basic events are subjected to statistical uncertainty.
Durga Rao Karanki +4 more
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2018
This chapter provides modeling tools and concepts for the input random variables of the system to be simulated. After a discussion of dependence and correlation measures between random variables, Sect. 3.2 provides an introduction to copulas for approximating the joint distribution of several random variables given only their marginals and possibly ...
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This chapter provides modeling tools and concepts for the input random variables of the system to be simulated. After a discussion of dependence and correlation measures between random variables, Sect. 3.2 provides an introduction to copulas for approximating the joint distribution of several random variables given only their marginals and possibly ...
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Input Parameters of the Coating Process
2015The set of input parameters includes features of carrier gas, sprayed material, and energetic features of power source. To study the input parameters, it is rational to divide the process of AS into several stages. They include electrode end face, arc burning zone, spraying distance, and coating formation.
Vladislav Boronenkov, Yury Korobov
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Parameter identifiability for heat conduction with a boundary input
Mathematics and Computers in Simulation, 2009The identification of the piecewise thermal conductivity from measurements of the temperature in both space and time is investigated. It is shown that the identification process provides not only a unique solution, but also that the identification is stable.
Semion Gutman, Junhong Ha
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Parameter estimation for Euler equations with uncertain inputs
2015 54th IEEE Conference on Decision and Control (CDC), 2015The paper presents a new state estimation algorithm for 2D incompressible Euler equations with periodic boundary conditions and uncertain but bounded inputs and initial conditions. The algorithm converges (in L2-sense) to a least squares estimator given incomplete and noisy observations. The results are illustrated by numerical examples.
Sergiy Zhuk, Tigran T. Tchrakian
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Accounting for parameter uncertainty in simulation input modeling
Proceeding of the 2001 Winter Simulation Conference (Cat. No.01CH37304), 2002We formulate and evaluate a Bayesian approach to probabilistic input modeling for simulation experiments that accounts for the parameter and stochastic uncertainties inherent in most simulations and that yields valid predictive inferences about outputs of interest. We use prior information to construct prior distributions on the parameters of the input
Faker Zouaoui, James R. Wilson
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Input Parameters – Kinematic Properties
2019To observe the dynamic flow in dependence on the function of the bucket elevator, it is necessary to set the 3D model of the bucket elevator in motion (Fig. 8.1).
Daniel Gelnar, Jiri Zegzulka
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