Previous research showed that the execution of contact tasks under uncertainty benefits from online estimation of the geometrical contact parameters such as positions, orientations and dimensions of the contacting objects. However, the constant translational and rotational velocities commonly used to trigger the contact formation (CF) transitions are often not sufficiently exciting to estimate ...

Introduction Patient set-up optimization is required in radiotherapy to fill the accuracy gap between personalized treatment planning and uncertainties in the irradiation set-up. In this study, we aimed to develop a new method based on neural network to estimate patient geometrical setup using 4-dimensional (4D) XCAT anthropomorphic phantom. Materials and Methods To access 4D modeling of motion...

Numerical simulations of a three-dimensional model of impingement and film cooling on a flat plate are presented and validated with the available experimental data. Four different turbulence models were utilized for simulation, in which SST  had the highest precision, resulting in less than 4% maximum error in temperature estimation. A simplified geometry with periodic boundary conditions is de...

Image calibration is the very first step in the low-level vision process, making it possible to reliably exploit geometrical information from images. In this paper, we address the problem of calculating and compensating camera lens distortion using a fast evolutionary algorithm. The advantages and limitations of this method are compared with classical calibration methods. Key-words: calibration...

This paper surveys the talk given by the author at ”Seminario Matematico e Fisico di Milano” in November 2006. It deals with the existence question for shape optimization problems associated to the Dirichlet Laplacian. Existence of solutions is seen from both geometrical and functional (γ-convergence) point of view and is discussed in relationship with the optimality conditions and numerical al...

A. The paper can be considered as a complement to previous papers of the authors. An insight into applied asymptotic analysis of boundary value problems in singularly perturbed domains is presented. As a result, the asymptotic expansions of eigenvalues are obtained and discussed in terms of integral attributes of the geometrical perturbations including the virtual mass tensor, polarizati...

Alignment algorithms are commonly used to detect and quantify similarities between DNA sequences. We study these algorithms in the framework of a recent theory viewing similarity detection as a geometrical critical phenomenon of directed random walks. We show that the roughness of these random walks governs the delity of an alignment, i.e., its ability to capture the correlations between the se...