Results 11 to 20 of about 4,227,869 (356)

Scale-Model Simulation

open access: yesIEEE Computer Architecture Letters, 2021
Computer architects extensively use simulation to steer future processor research and development. Simulating large-scale multicore processors is extremely time-consuming and is sometimes impossible because of simulation infrastructure limitations. This paper proposes scale-model simulation, a novel methodology to predict large-scale multicore system ...
Wenjie Liu 0015   +4 more
openaire   +2 more sources

Reusability of simulation models [PDF]

open access: yesKnowledge-Based Systems, 1996
Modelling and simulation are widely used methods in design and other engineering tasks. Providing libraries of reusable model fragments is a promising way of supporting engineering modelling. The paper discusses means of structuring such libraries in a generic and reusable way.
Pos, A.   +3 more
openaire   +2 more sources

Modelling and simulation: An overview [PDF]

open access: yesMathematics and Computers in Simulation, 2013
The papers in this special issue of Mathematics and Computers in Simulation cover the following topics: improving judgmental adjustment of model-based forecasts, whether forecast updates are progressive, on a constrained mixture vector autoregressive model, whether all estimators are born equal: the empirical properties of some estimators of long ...
McAller, M., Chan, F., Oxley, L.
openaire   +12 more sources

Simulation modelling for immunologists [PDF]

open access: yesNature Reviews Immunology, 2019
The immune system is inordinately complex with many interacting components determining overall outcomes. Mathematical and computational modelling provides a useful way in which the various contributions of different immunological components can be probed in an integrated manner.
Andreas Handel   +2 more
openaire   +2 more sources

Modeling the yield of winter maize using biomass distribution index in the tropical region of Yunnan, China [PDF]

open access: yesPesquisa Agropecuária Brasileira, 2023
The objective of this work was to establish and validate the dry matter distribution and yield prediction models based on physiological developmental timing, to compare the differences between the dry mass distribution index model and the dry mass ...
Xinyuan Han   +4 more
doaj   +1 more source

Facilitating insight into a simulation model using visualization and dynamic model previews [PDF]

open access: yes, 2012
This paper shows how model simplification, by replacing iterative steps with unitary predictive equations, can enable dynamic interaction with a complex simulation process.
Cribbin, T, de Folter, J
core   +1 more source

On the Simulation of Polynomial NARMAX Models [PDF]

open access: yes, 2018
In this paper, we show that the common approach for simulation non-linear stochastic models, commonly used in system identification, via setting the noise contributions to zero results in a biased response.
Khandelwal, Dhruv   +2 more
core   +3 more sources

Development of simulation models of the hydraulic system of passenger and transport aircraft in normal and failure situations [PDF]

open access: yesE3S Web of Conferences, 2023
The paper presents a simulation model of the hydraulic system of an aircraft containing a block supply with a variable flow pump, the discharge line of which is presented in the form of a certain container with liquid, the modulus of elasticity of which ...
Volkov Aleksei   +3 more
doaj   +1 more source

On the Implementation of AM/AM AM/PM Behavioral Models in System Level Simulation [PDF]

open access: yes, 2003
The use of nonlinear device behavioral models offers an economical way of simulating the performance of complex communication systems. A concrete method for implementing the AM/AM AM/PM behavioral model in system level simulation using ADS is developed ...
Shen, Y., Tauritz, J.L.
core   +2 more sources

Fundamentals of simulation modeling [PDF]

open access: yes2007 Winter Simulation Conference, 2007
We start with basic terminology and concepts of modeling, and decompose the art of modeling as a process. This overview of the process helps clarify when we should or should not use simulation models. We discuss some common missteps made by many inexperienced modelers, and propose a concrete approach for avoiding those mistakes.
openaire   +2 more sources

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