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Integrated assessment models that combine geophysics and economics features are often used to evaluate environmental economic policies. In these models, there are often profound uncertainties and Monte Carlo simulations are often used to evaluate the policies. Generally, the simulation approach requires that the distribution of the uncertain parameters are clearly specified. In this paper, we adopt...
We use a Markov model to specify the behaviour of a protocol, and show an analysis of this model can generate a high-level design space that an engineer can explore. The behaviour that we study is the leakage power and the area complexity. The design space generated from the Markov model is shown to have high fidelity, which means it faithfully reflects the corresponding `implementation space', and...
Particle filter (PF) is widely used in nonlinear/non-Gaussion environments to solve the simultaneous localization and mapping (SLAM) problem. But the standard PF suffers a lot from the sample impoverishment after resampling. This paper introduces a particle splitting technique before the resampling process, called pre-resampling. This method splits particles with big importance weight into several...
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