3D line drawing from point clouds using chromatic stereo and shading

1 PDF document (8 pp., English).-- Contributed to: VSMM'08: 14th International Conference on Virtual Systems and Multimedia (Limassol, Cyprus, Oct 20-25, 2008)

Monitoring the Tension and the Temperature in an Overhead Line

MELECON 2012 - 2012 16th IEEE Mediterranean Electrotechnical Conference, 25 Mar - 28 Mar 2012, Túnez

La eficacia de la publicidad on-line en el contexto de los blogs

[ES] El objetivo del presente trabajo se ha centrado en medir la eficacia publicitaria de dos formatos de anuncios on-line, concretamente el robapáginas frente al contextual, así como los factores que sobre la base de la literatura revisada influyen en dicha eficacia publicitaria. Su contexto de aplicación son las páginas web de tipo blog o bitácora que, a pesar del auge que han experimentado en su utilización, no han recibido atención en el ámbito de la investigación publicitaria.

Model driven product line engineering : core asset and process implications

Reuse is at the heart of major improvements in productivity and quality in Software Engineering. Both Model Driven Engineering (MDE) and Software Product Line Engineering (SPLE) are software development paradigms that promote reuse. Specifically, they promote systematic reuse and a departure from craftsmanship towards an industrialization of the software development process. MDE and SPLE have established their benefits separately. Their combination, here called Model Driven Product Line Engineering (MDPLE), gathers together the advantages of both. Nevertheless, this blending requires MDE to be recasted in SPLE terms. This has implications on both the core assets and the software development process. The challenges are twofold: (i) models become central core assets from which products are obtained and (ii) the software development process needs to cater for the changes that SPLE and MDE introduce. This dissertation proposes a solution to the first challenge following a feature oriented approach, with an emphasis on reuse and early detection of inconsistencies. The second part is dedicated to assembly processes, a clear example of the complexity MDPLE introduces in software development processes. This work advocates for a new discipline inside the general software development process, i.e., the Assembly Plan Management, which raises the abstraction level and increases reuse in such processes. Different case studies illustrate the presented ideas.

Long memory in return structures from developed markets

[En]The present study aimed at investigating the existence of long memory properties in ten developed stock markets across the globe. When return series exhibit long memory, the series realizations are not independent over time and past returns can help predict future returns, thus violating the market efficiency hypothesis. It poses a serious challenge to the supporters of random walk behavior of the stock returns indicating a potentially predictable component in the series dynamics. We computed Hurst-Mandelbrot’s Classical R/S statistic, Lo’s statistic and semi parametric GPH statistic using spectral regression. The findings suggest existence of long memory in volatility and random walk for logarithmic return series in general for all the selected stock market indices. Findings are in line with the stylized facts of financial time series.

Biologically-inspired data decorrelation for hyper-spectral imaging

Hyper-spectral data allows the construction of more robust statistical models to sample the material properties than the standard tri-chromatic color representation. However, because of the large dimensionality and complexity of the hyper-spectral data, the extraction of robust features (image descriptors) is not a trivial issue. Thus, to facilitate efficient feature extraction, decorrelation techniques are commonly applied to reduce the dimensionality of the hyper-spectral data with the aim of generating compact and highly discriminative image descriptors. Current methodologies for data decorrelation such as principal component analysis (PCA), linear discriminant analysis (LDA), wavelet decomposition (WD), or band selection methods require complex and subjective training procedures and in addition the compressed spectral information is not directly related to the physical (spectral) characteristics associated with the analyzed materials. The major objective of this article is to introduce and evaluate a new data decorrelation methodology using an approach that closely emulates the human vision. The proposed data decorrelation scheme has been employed to optimally minimize the amount of redundant information contained in the highly correlated hyper-spectral bands and has been comprehensively evaluated in the context of non-ferrous material classification

A High Degree of LINE-1 Hypomethylation Is a Unique Feature of Early-Onset Colorectal Cancer

12 p.

Estrategias de lectura on-line en inglés como lengua extranjera

XXIV, 508 p.

Desarrollo de componentes para el panel de administración de GeoServicios® on-line

Panel de Administración que ofrece una solución completa a la hora de realizar visores para mapas y que permite al cliente configurar un visor en base a sus necesidades, mediante diferentes módulos. Dicho panel, se ha realizado utilizando un desarrollo basado en el prototipado. En el caso de este proyecto, se especifica el desarrollo de los dos primeros prototipos. Los módulos desarrollados son los siguientes: Panel de login: Este panel permite el acceso a la aplicación. Módulo de usuarios/grupos: Este componente permite gestionar grupos y usuarios, tanto la creación, edición de los mismos como la visualización de estos. Módulo de datos: Este componente permite gestionar las fuentes de datos del cliente. Crear plantillas a partir de datos procedentes de BBDD propias, así como la edición de dichas plantillas. Módulo GeoAsset: Este componente permite configurar aplicaciones web o visores. Un visor tendrá asociado un mapa, una lista de control de accesos, etc. Siguiendo la estructura de módulos, también es objeto del proyecto la realización de un segundo prototipo que contiene la mejora de uno de los módulos ya creados: Mejora de módulo de datos: Este componente implementa además de las funcionalidades creadas en la anterior versión, una funcionalidad para permitir la subida de datos a la aplicación.

Efectos de la interacción entre las respuestas emocionales hacia anuncios publicitarios y contenidos generados por los usuarios en redes sociales on-line

Máster en Dirección Empresarial desde la Innovación y la Internacionalización. Curso 2013/2014

A uniform phase representation for the harmonic model in speech synthesis applications

Feature-based vocoders, e.g., STRAIGHT, offer a way to manipulate the perceived characteristics of the speech signal in speech transformation and synthesis. For the harmonic model, which provide excellent perceived quality, features for the amplitude parameters already exist (e.g., Line Spectral Frequencies (LSF), Mel-Frequency Cepstral Coefficients (MFCC)). However, because of the wrapping of the phase parameters, phase features are more difficult to design. To randomize the phase of the harmonic model during synthesis, a voicing feature is commonly used, which distinguishes voiced and unvoiced segments. However, voice production allows smooth transitions between voiced/unvoiced states which makes voicing segmentation sometimes tricky to estimate. In this article, two-phase features are suggested to represent the phase of the harmonic model in a uniform way, without voicing decision. The synthesis quality of the resulting vocoder has been evaluated, using subjective listening tests, in the context of resynthesis, pitch scaling, and Hidden Markov Model (HMM)-based synthesis. The experiments show that the suggested signal model is comparable to STRAIGHT or even better in some scenarios. They also reveal some limitations of the harmonic framework itself in the case of high fundamental frequencies.

Errugbiko line-out jaurtiketaren abiaduren analisia eta jaurtitzaileen potentzia eta zehaztasunaren arteko erlazioa.

Hurrengo ikerketan errugbiko line out baten jaurtiketaren abiaduraren analisia eta jaukitzaileen baloia abiadura altuan jaurtitzeko ahalmena, zehaztasunarekin ikertuko da. Hamazortzi eta hogeita bi urte tarteko errugbi jokalariak egin zituzten frogak, partaideak froga bakarra egin zuten denboraldiaren hasieran, aurre-denboraldiaren amaieran. Jokalarien arteko konparaketa egin zen. Ikertuko diren aldagarriak, eta jaurtitzaileen ahalmena neurtzen dutenak hurrengoak dira: abiadura eta zehaztasuna. bi abiadura ezberdin kalkulatu egin dira, bata helburu zehatz batekin eta bestea helburu zehatzik gabe, horrela potentzia guztia ikusi ahal izateko. Bi abiadurak konparatuz beste aldagarri bat atera da, %galera izenekoa, aldagarri onek bi abiaduraren arteko ezberdintasuna adierazten du.

Identidad digital y reputación on-line

La identidad digital y la reputación online como elementos claves a la hora de relacionarse con el consumidor y generar valor

Virtual Sensors for On-line Wheel Wear and Part Roughness Measurement in the Grinding Process

Grinding is an advanced machining process for the manufacturing of valuable complex and accurate parts for high added value sectors such as aerospace, wind generation, etc. Due to the extremely severe conditions inside grinding machines, critical process variables such as part surface finish or grinding wheel wear cannot be easily and cheaply measured on-line. In this paper a virtual sensor for on-line monitoring of those variables is presented. The sensor is based on the modelling ability of Artificial Neural Networks (ANNs) for stochastic and non-linear processes such as grinding; the selected architecture is the Layer-Recurrent neural network. The sensor makes use of the relation between the variables to be measured and power consumption in the wheel spindle, which can be easily measured. A sensor calibration methodology is presented, and the levels of error that can be expected are discussed. Validation of the new sensor is carried out by comparing the sensor's results with actual measurements carried out in an industrial grinding machine. Results show excellent estimation performance for both wheel wear and surface roughness. In the case of wheel wear, the absolute error is within the range of microns (average value 32 mu m). In the case of surface finish, the absolute error is well below R-a 1 mu m (average value 0.32 mu m). The present approach can be easily generalized to other grinding operations.

Strategies for Power Line Communications Smart Metering Network Deployment

Smart Grids are becoming a reality all over the world. Nowadays, the research efforts for the introduction and deployment of these grids are mainly focused on the development of the field of Smart Metering. This emerging application requires the use of technologies to access the significant number of points of supply (PoS) existing in the grid, covering the Low Voltage (LV) segment with the lowest possible costs. Power Line Communications (PLC) have been extensively used in electricity grids for a variety of purposes and, of late, have been the focus of renewed interest. PLC are really well suited for quick and inexpensive pervasive deployments. However, no LV grid is the same in any electricity company (utility), and the particularities of each grid evolution, architecture, circumstances and materials, makes it a challenge to deploy Smart Metering networks with PLC technologies, with the Smart Grid as an ultimate goal. This paper covers the evolution of Smart Metering networks, together with the evolution of PLC technologies until both worlds have converged to project PLC-enabled Smart Metering networks towards Smart Grid. This paper develops guidelines over a set of strategic aspects of PLC Smart Metering network deployment based on the knowledge gathered on real field; and introduces the future challenges of these networks in their evolution towards the Smart Grid.