In this paper, the data feature of depth-averaged current velocities (DACVs) derived from underwater gliders is analyzed for first time. Two features DACVs have been proposed: one complex ingredients and small samples, other stationarity that occurs as length a DACV sequence increases. With these in mind, set methods combining statistical analysis machine learning are proposed to realize predic...

Following another person's gaze in order to achieve joint attention is an important skill in human social interactions. This work analyzes geometric aspects of the gaze following problem and proposes a learning-based computational model for the emergence of gaze following skills in infants. The model acquires advanced gaze following skills by learning associations between caregiver head poses a...

In this paper we augment the wave-averaged mean field equations commonly used to describe wave set-up and wave-induced mean currents in the near-shore zone, with an empirical sediment flux law depending only on the wave-induced mean current and mean total depth. This model allows the bottom to evolve slowly in time, and is used to examine how sediment transport affects wave set-up in the surf z...

An implicit depth-averaged 2-D finite volume model has been developed to simulate sediment transport and bed morphological changes under actions of currents and waves near coastal inlets. The model computes the depthaveraged 2-D shallow water flow and non-equilibrium transport of total-load sediment, accounting for the effects of wave radiation stresses and turbulent diffusion induced by curren...