The self-consistent Eulerian rate-type elastoplastic model based on the logarithmic rate is used to study finite bending of a compressible elastic-perfectly plastic rectangular block. It is found that an explicit closed-form solution for this typical inhomogeneous finite deformation mode may be available in a general case of compressible deformation with a stretch normal to the bending plane, w...

In this paper, we present an original approach for an unsupervised learning of the structure and deformation modes of 2D moving objects in long image sequences. The object representation relies on a statistical description of the deformations applied to a prototype shape. The optimal bayesian estimate of the deformation process is obtained by maximizing a non-linear joint probability distributi...

OBJECTIVES Twenty years ago our institution published an analysis of a cluster of failures associated with the arterial switch operation (ASO). The concept of 'near miss' was explored to detect warning signs of suboptimal performance. The aim of the current study was to review the parameters best suited to monitoring early ASO outcomes in the modern setting and re-examine the concept of near mi...

In order to get an optimal use of all the interesting features for free-form mod-eling provided by sophisticated geometric models (Bezier, B-Spline, NURBS), we propose a deformation technique based on the concept of normalized operators. Such an operator can be viewed as a black-box which encloses | and hides to the user | the high number and the complexity of the parameters involved during a d...

In this paper we present a method for analyzing the brain shift. The brain shift is a brain deformation phenomenon, that occurs during surgical operations on the opened head. This deformation makes navigation within the brain very diicult for the surgeon, as preoperative magnetic resonance images invalidate very quickly after the beginning of the operation. Up to now not enough is known about t...

In this article, the performance of a reactive Simulated Moving Bed (SMB) and its modification, the more flexible Varicol process, is improved for the synthesis of methyl acetate (MeOAc) ester by multi-objective optimization using Non-dominated Sorting Genetic Algorithm (NSGA). The Varicol process is based on a non-synchronous shift of the inlet and outlet ports instead of the synchronous one u...

SMB represents one of the widely established periodic adsorption processes and its periodic and nonlinear dynamics presents a significant challenge to the formulation and solution of the optimal startup issue. A multistage startup concept allowing to adjust operating conditions stage-wise is proposed. The startup problem is then formulated aiming at driving the system towards the reference cycl...

This paper presents an adaptive sensing system with visual feedback control, which can detect and track the moving target. The proposal algorithm based on subtraction, projection and correlation operation from a series of sequential images can estimate the motion vectors to control the pan and tilt servo motors which drive the charge coupled device (CCD) camera to track the moving target in rea...

A Lagrangian flow model is used to investigate highly nonlinear, dispersive waves generated by moving seabed deformation (MSD) of an otherwise horizontal seabed. Applications include free surface wave responses co-seismic displacements and novel bed-driven making systems in surfing competitions. This paper considers gravity viscous liquid, without restrictions on steepness, dispersion coefficie...

We present a weakly nonlinear theory for the evolution of dispersive transient waves generated by moving seabed deformation. Using perturbation expansion up to second order, we show that higher-order components affect mostly leading wave and region close deforming seabed. In particular, in regime has higher crests deeper troughs than known linear solution, while trough propagates together with ...