Train energy saving problem investigates how to control train's velocity such that the quantity of energy consumption is minimized and some system constraints are satis ed. On the assumption that the train's weights on different links are estimated by fuzzy variables when making the train scheduling strategy, we study the fuzzy train energy saving problem. First, we propose a fuzzy energy ...

In this paper, we discuss how image segmentation can be handled by using Bayesian learning and inference. In particular variational techniques relying on free energy minimization will be introduced. It will be shown how to embed a spatial diffusion process on segmentation labels within the Variational Bayes learning procedure so as to enforce spatial constraints among labels.

The article discusses the issue of organizing management a constantly operating object distributed in space and developing arbitrarily, while organization should be optimal according to criterion - maximum return (income) on invested funds (equipment) raw materials used. An energy system with well-known engineering concepts is used occasionally as an example. Particular attention paid reliabili...

for calculation of the displacements of points in micro geodesy networks, it is essential to discover stable and unstable points. without knowing stable points, calculated displacements are due to datum deficiency. in this case, calculated displacements are not valid. there are two methods to discover stable and unstable points: a-congruency robust method b- l1 norm minimization in this study t...