54 resultados para Content-Based Retrieval


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L'evolució ens els últims decennis de les possibilitats relacionades amb les tecnologies de la informació han provocat l'aparició de diferents camps, entre ells l'anomenat “recuperació de música basant-se en el contingut”, que tracta de calcular la similitud entre diferents sons. En aquest projecte hem fet una recerca sobre els diferents mètodes que existeixen avui en dia, i posteriorment n'hem comparat tres, un basat en característiques del so, un basat en la transformada discreta del cosinus, i un que combina els dos anteriors. Els resultats han mostrat, que el basat en la transformada de Fourier és el més fiable.

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Aquest és un projecte que tracta sobre la indexació automàtica de continguts televisius. És una tasca que guanyarà importància amb els imminents canvis que hi haurà en la televisió que coneixem. L'entrada de la nova televisió digital farà que hi hagi una interacció molt més fluida entre l'espectador i la cadena, a més de grans quantitats de canals, cada un amb programes de tipus totalment diferents. Tot això farà que tenir mètodes de cerca basats en els continguts d'aquests programes sigui del tot imprescindible. Així doncs, el nostre projecte està basat plenament en poder extreure alguns d'aquests descriptors que faran possible la categorització dels diferents programes televisius.

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Projecte de recerca elaborat a partir d’una estada a la National University of Singapore Singapur, entre juliol i octubre del 2007. Donada l'explosió de la música a l'internet i la ràpida expansió de les col•leccions de música digital, un repte clau en l'àrea de la informació musical és el desenvolupament de sistemes de processament musical eficients i confiables. L'objectiu de la investigació proposada ha estat treballar en diferents aspectes de l'extracció, modelatge i processat del contingut musical. En particular, s’ha treballat en l'extracció, l'anàlisi i la manipulació de descriptors d'àudio de baix nivell, el modelatge de processos musicals, l'estudi i desenvolupament de tècniques d'aprenentatge automàtic per a processar àudio, i la identificació i extracció d'atributs musicals d'alt nivell. S’han revisat i millorat alguns components d'anàlisis d'àudio i revisat components per a l'extracció de descriptors inter-nota i intra-nota en enregistraments monofónics d'àudio. S’ha aplicat treball previ en Tempo a la formalització de diferents tasques musicals. Finalment, s’ha investigat el processat d'alt nivell de música basandonos en el seu contingut. Com exemple d'això, s’ha investigat com músics professionals expressen i comuniquen la seva interpretació del contingut musical i emocional de peces musicals, i hem usat aquesta informació per a identificar automàticament intèrprets. S’han estudiat les desviacions en paràmetres com to, temps, amplitud i timbre a nivell inter-nota i intra-nota.

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This study reports on the analysis of annual reports from 14- listed companies in Spainover a five-year period, from 1998 to 2002. Companies in the sample are selected on thebasis of their knowledge-based assets and incentives to report on Intellectual Capital.The empirical analysis is twofold:1) Firstly, we analyse the value of intellectual capital using a value-based approach,through the difference between market and book value over the period considered. Results show that there is a general decrease in the 'hidden value' of these companies, probably due to the general trend in stock markets.2) Secondly, we carry out a content-based analysis of the complete annual reports of the companies over the five year period. Preliminary findings seem to suggest that although the level of disclosure has increased over time, this is mainly in the form of narrative. Overall, the level of disclosure of intellectual capital remains low.

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Content and Language Integrated Learning (CLIL)Materials in Chemistry and English following the principles of CLIL / Content-based Instruction and Task-based Learning

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Content and Language Integrated Learning (CLIL)Materials in Chemistry and English following the principles of CLIL / Content-based Instruction and Task-based Learning

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The Faculty of Business and Communication recently started an internationalization process that, in two year’s time, will allow all undergraduate students (studying Journalism, Audiovisual Communication, Advertising and Public Relations, Business and Marketing) to take 25% of their subjects in English using CLIL methodology. Currently, Journalism is the degree course with the greatest percentage of CLIL subjects, for example Current Affairs Workshop, a subject dedicated to analyzing current news using opinion genres. Moreover, because of the lack of other subjects offered in English, ERASMUS students have to take some journalism subjects in order to complete their international passport, and one of the classes they choose is the Current Affairs Workshop. The aim of this paper is to explore how CLIL methodology can be useful for learning journalistic opinion genres (chat-shows, discussions and debates) in a subject where Catalan Communication students –with different levels of English- share their knowledge with European students of other social disciplines. Students work in multidisciplinary groups in which they develop real radio and TV programs, adopting all the roles (moderator, technician, producer and participants), analyzing daily newspapers and other sources to create content, based on current affairs. This paper is based on the participant observation of the lecturers of the subject, who have designed different activities related to journalistic genres, where students can develop their skills according to the role they play in every assignment. Examples of successful lessons will be given, in addition to the results of the course: both positive and negative. Although the objective of the course is to examine professional routines related to opinion genres, and students are not directly graded on their level of English, the Catalan students come to appreciate how they finally overcome their fear of working in a foreign language. This is a basic result of their experience.

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Catalonia is a bilingual country where the presence of English in the social context is small; the amount of input received by the primary education pupils is very little and this input mainly comes from the English lessons at school. Consequently, this situation combined with the increasing demand for English and the fact that the new generations want to become communicatively competent in English place the role of English teachers in a relevant position. This research project analyses the role of the English teacher talk; in particular, the study focuses on the teacher’s oral productions in foreign language lessons (EFL) and in content-based lessons (CLIL).

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In this paper we identify the requirements for creating formal descriptions of learning scenarios designed under the European HigherEducation Area paradigm, using competences and learning activities as the basic pieces of the learning process, instead of contents and learning resources, pursuing personalization. Classical arrangements of content based courses are no longer enough to describe all the richness of this new learning process, where user profiles, competences and complex hierarchical itineraries need to be properly combined. We study the intersection with the current IMS Learning Design specification and theadditional metadata required for describing such learning scenarios. This new approach involves the use of case based learning and collaborativelearning in order to acquire and develop competences, following adaptive learning paths in two structured levels.

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Recommender systems attempt to predict items in which a user might be interested, given some information about the user's and items' profiles. Most existing recommender systems use content-based or collaborative filtering methods or hybrid methods that combine both techniques (see the sidebar for more details). We created Informed Recommender to address the problem of using consumer opinion about products, expressed online in free-form text, to generate product recommendations. Informed recommender uses prioritized consumer product reviews to make recommendations. Using text-mining techniques, it maps each piece of each review comment automatically into an ontology

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Road safety has become an increasing concern in developed countries due to the significant amount of mortal victims and the economic losses derived. Only in 2005 these losses rose to 200.000 million euros, a significant amount - approximately the 2% of its GDP- that easily justifies any public intervention. One tool used by governments to face this challenge is the enactment of stricter policies and regulations. Since drunk driving is one of the most important concerns of public authorities on this field, several European countries decided to lower their illegal Blood Alcohol Content levels to 0.5 mg/ml during the last decade. This study evaluates for the first time the effectiveness of this transition using European panel-based data (CARE) for the period 1991-2003 using the Differences-in-Differences method in a fixed effects estimation that allows for any pattern of correlation (Cluster-Robust). My results show the existence of positive impacts on certain groups of road users and for the whole population when the policy is accompanied by some enforcement interventions. Moreover, a time lag of more than two years is found in that effectiveness. Finally, I also assert the importance of controlling for serial correlation in the evaluation of this kind of policies.

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Lean meat percentage (LMP) is an important carcass quality parameter. The aim of this work is to obtain a calibration equation for the Computed Tomography (CT) scans with the Partial Least Square Regression (PLS) technique in order to predict the LMP of the carcass and the different cuts and to study and compare two different methodologies of the selection of the variables (Variable Importance for Projection — VIP- and Stepwise) to be included in the prediction equation. The error of prediction with cross-validation (RMSEPCV) of the LMP obtained with PLS and selection based on VIP value was 0.82% and for stepwise selection it was 0.83%. The prediction of the LMP scanning only the ham had a RMSEPCV of 0.97% and if the ham and the loin were scanned the RMSEPCV was 0.90%. Results indicate that for CT data both VIP and stepwise selection are good methods. Moreover the scanning of only the ham allowed us to obtain a good prediction of the LMP of the whole carcass.

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Aquest projecte final de carrera té la finalitat d'elaborar un filtre de continguts Web de paraula clau. S'ha tractat exclusivament de crear una aplicació que funcioni sobre el protocol http controlant les dades que circulen a través del port 80.

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El projecte es basa en estudiar i avaluar diferents sistemes gestors de bases de dades (SGBD) per desar informació dins del context de la Web Semàntica., tal com es veurà en el capítol 4. La Web Semàntica permet dotar de significat al contingut textual de la web, permetent que sigui interpretable per una màquina.