Abstract. Model-driven software development often involves several related models. When models are updated, the updates need to be propagated across all models to make them consist...
We introduce a new sequential importance sampling (SIS) algorithm which propagates in time a Monte Carlo approximation of the posterior fixed-lag smoothing distribution of the symb...
— In this paper, we propose a control strategy to improve the combustion efficiency of Spark Ignited engines. More precisely, we adapt the spark ignition time according to varia...
This paper describes the derivation of a program for the propagation of information over a network, with acknowledgement (feedback) when the computation is complete. The derivatio...
We consider the problem of estimating the feedback coefficients of a linear feedback shift register (LFSR) based on noisy observations. In the current approach, the coefficients a...