Uncertainty is commonly encountered in temporal scheduling and planning problems, and can often lead to over-constrained situations. Previous relaxation algorithms for over-constrained temporal problems only work with requirement constraints, whose outcomes can be controlled by the agents. When applied to uncontrollable durations, these algorithms may only satisfy a subset of the random outcome...

We present fully nonlinear time-dependent simulations of the gravity-driven flow of thin wetting liquid films. The computations of the flow on a homogeneous substrate show that the contact line, becomes unstable and develops a finger-like or sawtooth structure [Phys. Rev. Lett. 86, 632 (2001)]. These computations are extended to patterned surfaces, where surface heterogeneities are introduced i...

Securing appropriate driver responses to conflicts is essential in automation that not perfect (because the needed as a fall-back for system limitations and failures). However, this recognized major challenge human factors literature. Moreover, in-depth knowledge lacking regarding mechanisms affecting response process. The first aim of study was investigate how conflict while using highly relia...

This article presents the development, simulation and validation of uncertainty cost functions for a commercial building with climate-dependent controllable loads, located in Florida, USA. For its statistical data on energy consumption 2016 were used, along deployment kernel density estimator to characterize probabilistic behavior. functions, Monte-Carlo method was used make comparisons between...