Multistage stochastic programming is a key technology for making decisions over time in an uncertain environment. One of the promising areas in which this technology is implementable, is medium term planning of electricity production and trading where decision makers are typically faced with uncertain parameters (such as future demands and market prices) that can be described by stochastic proc...

Familiarity is sometimes associated with midfrontal old/new (FN400) signals, but investigators assume too much by inferring familiarity whenever they identify these signals. We describe how Rosburg and colleagues (2011) made this assumption, yielding potentially faulty conclusions about the recognition heuristic. We provide an alternative interpretation emphasizing implicit processing that can ...

Registration is a fundamental task in image processing. Its purpose is to find a geometrical transformation that relates the points of an image to their corresponding points of another image. The determination of the optimal transformation depends on the types of variations between the images. In this paper we propose a robust method based on two sets of points representing the images. One–to–o...

designing an efficient skin for the building can minimize winter heat loss and summer heat gain. double skin façade (dsf) is a good device for achieving such a goal; but its summer overheating is a problem for using it, especially in hot-dry climates such as iran plateau. in this study, after reviewing state of the art strategies for cooling façade cavity, the effect of using some of them (such...

We cast the partially observable control problem as a fully observable underactuated stochastic control problem in belief space and apply standard planning and control techniques. One of the difficulties of belief space planning is modeling the stochastic dynamics resulting from unknown future observations. The core of our proposal is to define deterministic beliefsystem dynamics based on an as...