075. 01-17-1986 Mark 7:32

Chapel Sermon by Daniel Porkorny from Mark 7:32 on Friday, January 17, 1986

Errata — Possibilités de stockage de l'énergie solaire à partir de sulfates

D'après plusieurs auteurs les sulfates peuvent être à la base de cycles hybrides de décomposition de l'eau, de cycles thermochimiques purs ou bien constituer des cycles de stockage d'énergie thermique par réactions réversibles. Par l'étude thermodynamique des systèmes complexes M-O-S et M-O-S-H le présent travail examine les possibilités qu'offrent les sulfates de Mg, Al, Fe, Co, Ni, Cu, Zn. Les compositions à l'équilibre déterminées par minimisation de l'enthalpie libre des systèmes sont présentées sous forme de graphes et de tableaux en fonction de divers paramètres. Dans tous les cas l'action de mélanges SO2-H2O sur les oxydes ne conduit jamais à une libération notable d'hydrogène. L'étude des systèmes M-O-S, l'approche du rendement de stockage et de la capacité de stockage permettent de retenir, comme le plus favorable, le sulfate de magnésium. Mais les sulfates d'aluminium, de cobalt ou de nickel pourront également être envisagés

Errata — Possibilités de stockage de l'énergie solaire à partir de sulfates

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IRIT at TREC’2002: Filtering Track

The experiments we undertaken this year for TREC2002 Filtering track, are focussed on threshold calibration. We proposed a new approach to calibrate the dissemination threshold in an adaptive information filtering. It consists of optimizing a utility function represented by a linearized form of the probability distributions of the scores of the relevant and the non-relevant documents already filtered. The profiles are learned using the same method used last year. It is based on a reinforcement algorithm. We submitted results on three tasks: adaptive, batch and routing. 1 Information representation and filtering Our adaptive filtering model is inspired from the connectionist model Mercure [1]. The profile and the document are represented by a set of weighted terms. The filtering process consists of computing a relevance value RSV Retrieval Status Value. The document is delivered only if the RSV is greater than the dissemination threshold. A learning process is then carried out by modifying the profile and the dissemination threshold to be more efficient in the future. 1.1 System initialization The user profile is represented by a set of terms: p (0) �

Mercure and MercureFiltre applied for Web and Filtering tasks at TREC-10

1 Summary The tests performed for TREC-10 focus on the Filtering (adaptive, batch and routing) tracks and web tracks. The runs are based on Mercure system for web, routing and batch tracks, and MercureFiltre for adaptive track. 2 Mercure model Mercure is an information retrieval system based on a connexionist approach and modeled by a multi-layered network. The network is composed of a query layer (set of query terms), a term layer (representing the indexing terms) and a document layer [2] [3]. Mercure includes the implementation of a retrieval process based on spreading activation forward and backward through the weighted links. Queries and documents can be used either as inputs or outputs. The links between two layers are symmetric and their weights are based on the tf \Gamma idf measure inspired from the OKAPI [5] and SMART term weightings.- the query-term (at stage s) links are weighted as follows: q(s)ui = ( nqu\Lambda qtfui nqu\Gamma qtfui if (nqu? qtfui) qtfui otherwise (1

Vector space model adaptation and pseudo relevance feedback for content-based image retrieval

International audienc