La descripción científico-técnica en inglés y en francés

Enginyeria Informàtica (Pla de 2001). II14: Anglès per a la Informàtica

Protocols de seguretat amb terceres parts

Les solucions proposades en els articles científics sobre els intercanvis electrònics entre dues parts sovint involucren terceres parts (TTPs) per resoldre i simplificar el problema, però els usuaris hi han de dipositar una certa confiança. Ara bé, la confiança no és garantia ferma del compliment dels requisits de seguretat. Per això, molts usuaris són reticents a dipositar confiança en entitats remotes, fet que en dificulta l’ús. Aquí mostram com, a partir d’un determinat protocol de seguretat, podem aconseguir que la TTP involucrada sigui verificable. Construïm un entorn de confiança dins del protocol per mitjà del subministrament d’evidències sobre cada una de les operacions de la TTP (definim i introduïm la verificabilitat on-line de la TTP). Aconseguim això gràcies a la detecció, l’anàlisi i la classificació de cada una de les accions de la TTP. Aportam unes orientacions de disseny que faciliten la introducció de TTPs verificables dins dels protocols

Modelling of solid oxide electrolizer and hydrogen leak estimation

Solid Oxide Elecyrolizers (SOEC) are electrochemical devises that produce hydrogen from water using the energy of an electric power source. SOEC operate at high temperatures (around 800ºC) and have efficiencies around 53% [1]. One of the most interesting scenarios of SOEC use is the storage of energy in hydrogen form when renewable power sources do not match the load. Because of this, it is important to study the dynamic behavior of SOEC systems in order to know their ability to adapt to changing power profiles. Different works describe SOEC models in the literature, as reviewed in [2], but time dependent models are scarse [3] and very few of the models are experimentally validated. This work presents a dy-namic model of a SOEC implemented in MATLAB Simulink and its match with experimental data. One important issue in SOEC stacks is hydrogen leak, which aggravates with ageing and is mostly caused by the high operating temperatures. The analysis of the experimental data of this work suggested hydrogen leak. Based on the SOEC thermal model, a methodology to quantify the flow of hydrogen that is leaked out is proposed and applied to the experimental system.Postprint (published version

Boosted Random ferns for object detection

© 20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.In this paper we introduce the Boosted Random Ferns (BRFs) to rapidly build discriminative classifiers for learning and detecting object categories. At the core of our approach we use standard random ferns, but we introduce four main innovations that let us bring ferns from an instance to a category level, and still retain efficiency. First, we define binary features on the histogram of oriented gradients-domain (as opposed to intensity-), allowing for a better representation of intra-class variability. Second, both the positions where ferns are evaluated within the sliding window, and the location of the binary features for each fern are not chosen completely at random, but instead we use a boosting strategy to pick the most discriminative combination of them. This is further enhanced by our third contribution, that is to adapt the boosting strategy to enable sharing of binary features among different ferns, yielding high recognition rates at a low computational cost. And finally, we show that training can be performed online, for sequentially arriving images. Overall, the resulting classifier can be very efficiently trained, densely evaluated for all image locations in about 0.1 seconds, and provides detection rates similar to competing approaches that require expensive and significantly slower processing times. We demonstrate the effectiveness of our approach by thorough experimentation in publicly available datasets in which we compare against state-of-the-art, and for tasks of both 2D detection and 3D multi-view estimation.Peer ReviewedPostprint (author's final draft

Introducción a la programación. El lenguaje Python

509: Informàtica Bàsic

Tema 1: Introducción a Octave

Enginyeria Química. N13: Informàtica Bàsic

7. Efectos avanzados

II59: Informàtica Gràfica I

Bruce Schneier, expert en seguretat informàtica

Bruce Schneier és considerat internacionalment com un gurú de la seguretat informàtica. Va fundar, i actualment dirigeix, la divisió tecnològica de la companyia BT Counterpane, especialitzada en serveis de seguretat informàtica. Citat habitualment als mitjans de comunicació, Schneier ha escrit nombrosos articles a la premsa i ha testificat diverses vegades sobre seguretat al Congrés dels Estats Units. Bruce Schneier va visitar la UAB amb motiu de l'Any de la Computació

Tema 0: Introducción a Linux

Enginyeria Química. N13: Informàtica Bàsic

Estadística bàsica per a l'Enginyeria Tècnica en Informàtica de Gestió

Enginyeria Tècnica en Informàtica de Gestió (Pla de 2001). IG12: Estadístic