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V. Ramos

Publications and source records attributed to V. Ramos.

3 recordsLinked to original sources

Dimension reduction for gradient damage models in slender rods

This paper presents a method for reducing a three-dimensional gradient damage model to a one-dimensional model for slender rods (with a small radius-to-length ratio, $\delta = R/L \to 0$). The 3D model minimizes an energy functional that includes elastic strain energy, a damage-dependent degradation function $a_\eta(\alpha)$, a damage energy term $w(\alpha)$, and a gradient term penalizing abrupt damage variations. After non-dimensionalizing and rescaling, the problem is reformulated on a unit cylinder, and the behaviour of the energy functional is analyzed as $\delta$ approaches zero. Using $\Gamma$-convergence, we show that the sequence of 3D energy functionals converges to a 1D functional, defined over displacement and damage fields that are independent of transverse coordinates. Compactness results guarantee the weak convergence of strains and damage gradients, while lower and upper bound inequalities confirm the energy limit. Minimizers of the 3D energy are proven to converge to the minimizers of the 1D energy, with strains approaching a diagonal form indicative of uniaxial deformation.

math.AP

An Edge Computing Robot Experience for Automatic Elderly Mental Health Care Based on Voice

We need open platforms driven by specialists, in which queries can be created and collected for long periods and the diagnosis made, based on a rigorous clinical follow-up. In this work, we developed a multi-language robot interface helping to evaluate the mental health of seniors by interacting through questions. The specialist can propose questions, as well as to receive users' answers, in text form. The robot can automatically interact with the user using the appropriate language. It can process the answers and under the guidance of a specialist, questions and answers can be oriented towards the desired therapy direction. The prototype, was implemented on an embedded device meant for edge computing, thus it is able to filter environmental noise and can be placed anywhere at home. The experience is now available for specialists to create queries and answers through a Web-based interface.

cs.HC

KohonAnts: A Self-Organizing Ant Algorithm for Clustering and Pattern Classification

In this paper we introduce a new ant-based method that takes advantage of the cooperative self-organization of Ant Colony Systems to create a naturally inspired clustering and pattern recognition method. The approach considers each data item as an ant, which moves inside a grid changing the cells it goes through, in a fashion similar to Kohonen's Self-Organizing Maps. The resulting algorithm is conceptually more simple, takes less free parameters than other ant-based clustering algorithms, and, after some parameter tuning, yields very good results on some benchmark problems.

cs.NE