Abstract. In this paper, we consider a multi-lithology diffusion model used in stratigraphic modelling to simulate large scale transport processes of sediments described as a mixture of L lithologies. This model is a simplified one for which the surficial fluxes are proportional to the slope of the topography and to a lithology fraction with unitary diffusion coefficients. The main unknowns of ...

Inspired by recent advances in psychological studies on motion-based face perception, we examine in this paper, from the viewpoint of pattern recognition, the identity information behind a smile. A smile video database is collected, from which we compute dense optical flow fields and generate features by summing up the flow fields over time during the neutral-to-smile period. We investigate the...

This paper discusses the identification of dynamic parameters of an industrial robot KUKA KR5 with all revolute joints and serial architecture. For this, the simplified model of the robot was taken into account by considering only those joints which normally operates orthogonal to the gravity vector. The first approach used for finding the dynamic parameters of this simplified model was by form...

model [2] has been generally considered in both computer graphics and computer vision areas as a good Since the surface reflectance is a function of the geophysics-based model to describe the specular reflecmetrical components and the physical surface chartion of rough surfaces. However, since this model is acteristics, the reflectance parameters can be esticomplicated in nature, the simplified...

In this report, we present an automatic stock trading process, which relies on a hierarchy of a feature selecting method, multiple machine-learning algorithms as well as an online learning mechanism. Backward search was used in feature selection, while the local linear regression (LLR), l − 1 regularized ν-support vector machine (ν-SVM), and the multiple additive regression tree (MART), were ch...

Noise generation in a subsonic round jet is studied by a simplified model, in which nonlinear interactions of spatially evolving instability modes lead to the radiation of sound. The spatial mode evolution is computed using linear parabolized stability equations. Nonlinear interactions are found on a mode-by-mode basis and the sound radiation characteristics are determined by solution of the Li...

This paper is concerned with the linear ODE in the form y(t) = λρ(t)y(t) + b(t), λ < 0 which represents a simplified storage model of the carbon in the soil. In the first part, we show that, for a periodic function ρ(t), a linear drift in the coefficient b(t) involves a linear drift for the solution of this ODE. In the second part, we extend the previous results to a classical heat non-homogene...

This paper is concerned with the linear ODE in the form y(t) = λρ(t)y(t)+b(t), λ < 0 and which represents a simplified model of storage of the carbon in the soil. In the first part, we show that, for a periodic function ρ(t), a linear drift in the coefficient b(t) involves a linear drift for the solution of this ODE. In the second part, we give sufficient conditions on the coefficients to ensur...

The contribution is focused on helicopter elevation control. The experiments are performed on helicopter model, which is significantly nonlinear plant and it simulates in some simplified way dynamics of real helicopter. There is derived new way to control it which uses piecewise-linear neural model. As it is shown at the end of the paper, this new control algorithm brings decent performance imp...

In this contribution two approaches for calculating optimal trajectories for highly automated vehicles are presented and compared. The first one is based on a non-linear vehicle model, used for evaluation. The second one is based on a simplified model and can be implemented on a current ECU. In usual driving situations both approaches show very similar results. Keywords—Trajectory planning, dir...