A key aspect of the recently proposed Hamiltonian Particle-Mesh (HPM) method is its time-staggered discretization combined with a regularization of the continuous governing equations. In this paper, the time discretization aspect of the HPM method is analysed for the linearized, rotating, shallow-water equations with orography and the combined effect of time-staggering and regularization is com...

Experimental measurements of the peak pressure and sound exposure level (SEL) from underwater explosions collected 7 km off the coast of Virginia Beach, Virginia are presented. The peak pressures are compared to results from previous studies and a semi-empirical equation that is a function of measurement range and charge weight, and are found to be in good agreement. An empirical equation for S...

This paper describes work in progress for the creation of a new open– source resource for Spanish: an HPSG–based treebank so–called Tibidabo. The annotation is performed semi–automatically. First, the corpus is automatically annotated by a symbolic HPSG–based grammar for Spanish implemented on the Linguistic Knowledge Builder system; then, the output is manually disambiguated. The existence of ...

The semi-Lagrangian atmospheric model on the sphere is presented. In the 2D case, the potential vorticity is used as one of the prognostic variables. The wind eld is expressed in terms of a stream function and velocity potential. Fourth-order compact nite diierences are used to discretize rst-and second-order derivatives. The results including real data tests presented for 2D shallow water vers...

We derive a second-order semi-discrete central-upwind scheme for oneand two-dimensional systems of two-layer shallow water equations. We prove that the presented scheme is wellbalanced in the sense that stationary steady-state solutions are exactly preserved by the scheme, and positivity preserving, that is, the depth of each fluid layer is guaranteed to be nonnegative. We also propose a new te...

In maize growing technologies, tillage technological operations are the most time-consuming and require the greatest fuel input. Substitution of conventional tillage, involving deep ploughing, by other reduced tillage methods can reduce technological production costs, diminish soil degradation and environmental pollution from greenhouse gas emissions, as well as improve economic competitiveness...

We consider the Saint-Venant system for shallow water flows with non-flat bottom. In the past years, efficient well-balanced methods have been proposed in order to well resolve solutions close to steady states at rest. Here we describe a strategy based on a local subsonic steady-state reconstruction that allows to derive a subsonic-well-balanced scheme, preserving exactly all the subsonic stead...

Semantic Role Labeling (SRL) as a Shallow Semantic Parsing causes more and more attention recently. The shortage of manually tagged data is one of main obstacles to supervised learning, which is even serious in SRL. Transductive SVM (TSVM) is a novel semi-supervised learning method special to small mount of tagged data. In this paper, we introduce an application of TSVM in Chinese SRL. To impro...

In this report I studied the performance of deep belief nets (DBNs) on semisupervised learning problems, in which only a small proportion of data are labeled. First the performance between DBNs and support vector machines (SVMs) are compared to investigate the advantage of deep models over shallow ones. I also explored the use of DBNs as pre-training for SVMs and feed-forward nets (FFNs). The e...

The semi-Lagrangian atmospheric model on the sphere based on compact nite diierences is presented. In the two-dimensional case, the potential vorticity is used as one of the prognostic variables. Fourth-order compact nite diierences are used to discretize rst-and second-order derivatives. The results including real data tests presented for 2D shallow water version with orography demonstrate its...