Polytechnic University of Catalonia

About: Polytechnic University of Catalonia is a education organization based out in Barcelona, Spain. It is known for research contribution in the topics: Finite element method & Population. The organization has 16006 authors who have published 45325 publications receiving 949306 citations. The organization is also known as: UPC - BarcelonaTECH & Technical University of Catalonia.

Learning Problem-Agnostic Speech Representations from Multiple Self-Supervised Tasks.

Abstract: Learning good representations without supervision is still an open issue in machine learning, and is particularly challenging for speech signals, which are often characterized by long sequences with a complex hierarchical structure. Some recent works, however, have shown that it is possible to derive useful speech representations by employing a self-supervised encoder-discriminator approach. This paper proposes an improved self-supervised method, where a single neural encoder is followed by multiple workers that jointly solve different self-supervised tasks. The needed consensus across different tasks naturally imposes meaningful constraints to the encoder, contributing to discover general representations and to minimize the risk of learning superficial ones. Experiments show that the proposed approach can learn transferable, robust, and problem-agnostic features that carry on relevant information from the speech signal, such as speaker identity, phonemes, and even higher-level features such as emotional cues. In addition, a number of design choices make the encoder easily exportable, facilitating its direct usage or adaptation to different problems.

Iber: herramienta de simulación numérica del flujo en ríos

Abstract: Resumen Para dar respuesta a los requerimientos en materia de aguas definidos en las directrices, reglamentos y recomendaciones existentes en la legislacion espanola, los cuales estan mayoritariamente basados en directivas europeas, se ha desarrollado una herramienta de modelizacion numerica del flujo de agua en lamina libre en 2 dimensiones. La herramienta, llamada Iber, combina un modulo hidrodinamico, un modulo de turbulencia y un modulo de transporte de sedimentos, y utiliza el metodo de volumenes finitos para resolver las ecuaciones correspondientes. Al modulo de calculo se le ha adaptado una interfaz que se basa en el software de preproceso y posproceso GiD, desarrollado por CIMNE. El resultado es una herramienta de modelizacion numerica del flujo de agua y sedimentos en rios y estuarios, que utiliza esquemas numericos avanzados especialmente estables y robustos en cualquier situacion pero especialmente adecuados para flujos discontinuos y, en concreto, para cauces torrenciales y regimenes irregulares.

Diagnosability Analysis Based on Component-Supported Analytical Redundancy Relations

Abstract: It is commonly accepted that the requirements for maintenance and diagnosis should be considered at the earliest stages of design. For this reason, methods for analyzing the diagnosability of a system and determining which sensors are needed to achieve the desired degree of diagnosability are highly valued. This paper clarifies the different diagnosability properties of a system and proposes a model-based method for: 1) assessing the level of discriminability of a system, i.e., given a set of sensors, the number of faults that can be discriminated, and its degree of diagnosability, i.e., the discriminability level related to the total number of anticipated faults; and 2) characterizing and determining the minimal additional sensors that guarantee a specified degree of diagnosability. The method takes advantage of the concept of component-supported analytical redundancy relation, which considers recent results crossing over the fault detection and isolation and diagnosis communities. It uses a model of the system to analyze in an exhaustive manner the analytical redundancies associated with the availability of sensors and performs from that a full diagnosability assessment. The method is applied to an industrial smart actuator that was used as a benchmark in the Development and Application of Methods for Actuator Diagnosis in Industrial Control Systems European project