Influencia del acabado superficial en el digitalizado con sensores de triangulación por láser

El presente trabajo trata sobre la medida de la influencia que los distintos acabados superficiales tienen sobre la precisión y calidad del digitalizado utilizando sensores láser de triangulación. Entre el gran número de parámetros que influyen en la calidad del digitalizado, se analiza la influencia de la rugosidad. Para ello se ha establecido un procedimiento que permite restringir la influencia de otras variables y que, al mismo tiempo, proporciona una excelente repetibilidad y reproducibilidad. Este procedimiento se ha aplicado a distintos procesos de fabricación que dan lugar a muy distintos acabados superficiales. De esta forma se han establecido ciertas correlaciones cuantificando, además de la influencia de la rugosidad en la nube de puntos, la forma espacial que adopta su dispersión y la intensidad optima para cada proces

Glottal Source Cepstrum Coefficients Applied to NIST SRE 2010

Through the present paper, a novel feature set for speaker recognition based on glottal estimate information is presented. An iterative algorithm is used to derive the vocal tract and glottal source estimations from speech signal. In order to test the importance of glottal source information in speaker characterization, the novel feature set has been tested in the 2010 NIST Speaker Recognition Evaluation (NIST SRE10). The proposed system uses glottal estimate parameter templates and classical cepstral information to build a model for each speaker involved in the recognition process. ALIZE [1] open-source software has been used to create the GMM models for both background and target speakers. Compared to using mel-frequency cepstrum coefficients (MFCC), the misclassification rate for the NIST SRE 2010 reduced from 29.43% to 27.15% when glottal source features are use

The Tutorial Action Program as complement of the educational action in the European Higher Education Area, EHEA

El presente trabajo se inserta dentro del estudio de los cambios introducidos como consecuencia del nuevo Espacio Europeo de Educación Superior (EEES). En concreto, se analiza el papel del Programa de Acción Tutorial desde la perspectiva de profesores y alumnos. Para ello, se ha tomado la experiencia del Programa profesor-tutor de la Escuela Universitaria de Estudios Empresariales de la Universidad de Oviedo y se han estudiado las características de los profesores participantes en dicho Programa, así como la valoración que han hecho los estudiantes del mismo a través de una encuesta. Los resultados obtenidos revelan la necesidad de introducir cambios para facilitar la transformación de la actual labor docente en un modelo que incorpore las funciones formativas-educativas. Por último, se realizan una serie de propuestas para que las tutorías académicas sean gratificantes para el profesor y explotadas al máximo por los alumnos.This paper is inserted into the study of changes resulting from the new European Higher Education Area (EHEA). In particular, it is focused on the role of the Tutorial Action Program from the perspective of teachers and students. For the purposes of this work, the experience of the Program lecturer - tutor of the Escuela de Estudios Empresariales of the University of Oviedo is considered. The characteristics of the lecturers participating in this Program, as well as the valuation that the students have done of it through a survey, are studied. The obtained results reveal the need to introduce changes to facilitate the transformation of the current teaching in a model that incorporates training and educational functions. Finally, we make some proposals for academic tutoring to be rewarding for the teacher and fully exploited by the students

Extracción y análisis de artefactos de memoria de la aplicación Telegram Desktop

Este proyecto se centra en el desarrollo de un entorno de análisis forense para la obtención de artefactos presentes en memoria RAM relativos a aplicaciones de mensajería instantánea. Concretamente, el foco se ha puesto en la extracción de artefactos de memoria pertenecientes a la aplicación Telegram Desktop

REACTION: Research and experimental assessment of control plane architectures for in-operation flexgrid network re-optimization

CONNECT: The magazine from the GÉANT community. Issue 18, 2015.The REACTION project proposes, designs, and validates flexi-grid elastic optical networks enabling software-controlled high-rate transmissions. In this paper, the main project objectives are reported, together with a brief summary on two main REACTION studies.Postprint (published version

Bayesian networks: a probabilistic tool for species distribution models

Las redes bayesianas son un modelo probabilístico multivariante que permite trabajar con incertidumbre. En general, su aplicación en los modelos de distribución de especies es escasa y centrada en el tratamiento de datos discretos sin aprovechar toda su potencialidad. En este trabajo se estudian las redes bayesianas como una herramienta para resolver distintos problemas en los modelos de distribución de especies: clasificación, caracterización y regresión. La posibilidad de trabajar con datos discretos y continuos simultáneamente, la variedad de problemas que pueden resolver, y la flexibilidad en la estructura del modelo, convierten a las redes bayesianas en una herramienta apropiada, en los modelos de distribución de especies, en particular y en Macroecología, en general.Bayesian networks are multivariate probabilistic models able to deal with uncertainty. They have been hardly applied in species distribution models, and have mainly focused on discrete variables without taking advantage of their potentiality. In this paper, Bayesian networks are presented as a tool to solve different problems in species distribution models such as classification, characterization and regression. Their ability to deal with discrete and continuous data simultaneously, the variety of problems that can be solved, and the flexibility in the model structure, make them an appropriate tool in species distribution models and Macroecology

Yield evaluation of enzyme hydrolysis and dark fermentation of the brown seaweed Rugulopteryx okamurae hydrothermally pretreated by microwave irradiation

Microwave irradiation has been applied to solubilise the organic matter from the invasive seaweed Rugulopterix okamurae as pretreatment for two conventional biological processes: enzyme hydrolysis (EH) for obtaining reducing sugars (RS) and dark fermentation (DF) for obtaining volatile fatty acids (VFAs). As operational conditions for the microwave pretreatment, temperature and time has been tested between 120 and 220 °C and 5–20 min respectively. The maximum solubilisation yield in terms of DOC (26%) through the microwave pretreatment was registered at 220 °C at 20 min. However, the maximum concentration for RS (1.8 g/L) was obtained at 200 °C at 20 min due to the decomposition of monomeric sugars at high temperature and the total polyphenols (TP) were above 0.25 g/L (where inhibition in dark fermentation begins to be noticiable) at 180 °C. When the pretreated biomass was used for the EH the maximum accumulated RS production was 160 mg-RS/g-biomass, at 220 °C which was a 35% better than the RS production for non-pretreated biomass. In the case of the DF tests, the maximum yield of VFAs obtained with the pretreated biomass was 46.3 mg/g-biomass at 220 °C while the maximum hydrogen yield was obtained at 200 °C (6.6 mL-H2/g-biomass) due to the high level of TP (1.1 g/L) of pretreated biomass at 220 °C. Despite of this toxic effect, the VFAs production at 220 °C was 93% higher than in the non-pretreated biomass

Extracción y análisis de artefactos de memoria de la aplicación Telegram Desktop

Este proyecto se centra en el desarrollo de un entorno de análisis forense para la obtención de artefactos presentes en memoria RAM relativos a aplicaciones de mensajería instantánea. Concretamente, el foco se ha puesto en la extracción de artefactos de memoria pertenecientes a la aplicación Telegram Desktop

Glottal-Source Spectral Biometry for Voice Characterization

The biometric signature derived from the estimation of the power spectral density singularities of a speaker’s glottal source is described in the present work. This consists in the collection of peak-trough profiles found in the spectral density, as related to the biomechanics of the vocal folds. Samples of parameter estimations from a set of 100 normophonic (pathology-free) speakers are produced. Mapping the set of speaker’s samples to a manifold defined by Principal Component Analysis and clustering them by k-means in terms of the most relevant principal components shows the separation of speakers by gender. This means that the proposed signature conveys relevant speaker’s metainformation, which may be useful in security and forensic applications for which contextual side information is considered relevant