A disseminação seletiva da informação e a tecnologia RSS nas bibliotecas de tribunais em Brasília

Verifica a utilização do serviço de disseminação seletiva da informação (DSI) e a tecnologia RSS em bibliotecas de tribunais em Brasília. Propõe identificar como os serviços de referência de tais bibliotecas vêem a validade do serviço de disseminação seletiva e mais especificamente a tecnologia RSS como instrumentos para o desenvolvimento de novos produtos e serviços de informação com o foco nas necessidades do usuário. Os resultados obtidos demonstraram que os profissionais ainda veem utilidade do serviço de DSI, apesar de apenas duas das bibliotecas visitadas o utilizarem. Também foi possível verificar que os profissionais vislumbram a utilização da tecnologia RSS nos serviços de referência, apesar de nenhuma biblioteca visitada já ter pensado na utilização da tecnologia e os sites dessas bibliotecas ainda possuírem uma baixa disponibilização de serviços e utilização.

RSS and LEA adaptation for indoor location using fingerprinting

Fingerprinting is an indoor location technique, based on wireless networks, where data stored during the offline phase is compared with data collected by the mobile device during the online phase. In most of the real-life scenarios, the mobile node used throughout the offline phase is different from the mobile nodes that will be used during the online phase. This means that there might be very significant differences between the Received Signal Strength values acquired by the mobile node and the ones stored in the Fingerprinting Map. As a consequence, this difference between RSS values might contribute to increase the location estimation error. One possible solution to minimize these differences is to adapt the RSS values, acquired during the online phase, before sending them to the Location Estimation Algorithm. Also the internal parameters of the Location Estimation Algorithms, for example the weights of the Weighted k-Nearest Neighbour, might need to be tuned for every type of terminal. This paper focuses both approaches, using Direct Search optimization methods to adapt the Received Signal Strength and to tune the Location Estimation Algorithm parameters. As a result it was possible to decrease the location estimation error originally obtained without any calibration procedure.

La syndication de contenu (fils RSS) en bibliothèque

Présenté au personnel de la Direction des bibliothèques lors d'une conférence-midi le 8 mars 2006.

Les fils RSS en bibliothèques : pourquoi et comment?

Présentation donnée le 10 novembre 2006 dans le cadre du Programme de formation continue de la Corporation des bibliothécaires professionnels du Québec (CBPQ).

Les fils RSS en bibliothèque de droit

Présentation donnée le 1er mars 2007 à l'Association des bibliothèques de droit de Montréal (ABDM) / Montreal Association of Law Libraries (MALL).

Les fils RSS en droit: un outil à découvrir

Présentation donnée le 17 mai 2007 aux professeurs de la Faculté de droit de l'Université de Montréal.

Les fils RSS en bibliothèque de droit en 2010

Présentation donnée le 29 avril 2010 à l'Association des bibliothèques de droit de Montréal (ABDM) / Montreal Association of Law Libraries (MALL).

RSS et la publication simultanée sur Internet

"La publication simultanée est un paradigme nouveau de diffusion dans Internet. Au lieu de privilégier l'aspect visuel d'une page, la famille de technologies RSS permet de communiquer la structure d'un site, en vue d'une navigation plus systématique et rapide. À l'instar du foisonnement qui caractérisait la bulle Internet du tournant du millénaire, plusieurs saveurs de cette technologie furent développées en parallèle par différents groupes. L'acronyme RSS reflète cette compétition et désigne, successivement, Rich Site Summary (RSS 0.91); RDF Site Summary (RSS 0.9 and 1.0) ainsi que Really Simple Syndication (RSS 2.0). Par ailleurs, Atom 1.0 représente un format RSS entériné par les organes de standardisation d'Internet. Sont présentés les mécanismes de publication et de compilation de fils RSS."

Soporte RSS para la integración y distribución de documentación educativa.

La educación se ha visto revolucionada en los últimos tiempos por los avances alcanzados por las NTIC. El desarrollo de nuevas tecnologías y sistemas para la gestión del conocimiento juegan un papel cada vez más importante en el proceso de enseñanza-aprendizaje en las universidades. En el presente trabajo se propone el uso extensivo de la tecnología RSS para la distribución e integración de contenidos en la educación superior, y se evalúa su impacto en la construcción de un repositorio semántico distribuido de documentación educativa. Los resultados mostrados en este artículo están fundamentados sobre la base del proyecto Educative, como caso de estudio de gestión integral de documentación educativa para el ámbito universitario.

Implementación del formato RSS (Rich Site Summary) en procesos de gestión y comunicación electrónica en instituciones educativas, públicas y empresariales.

Resumen basado en el de la publicación

RSS, informarse sin navegar : sus aplicaciones al terreno de la formación.

Resumen basado en el de la publicación

Proposta de um modelo de negócio para a implantação de um sistema para tratamento de Resíduos de Serviços de Saúde (RSS)

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Range-based Weighted-likelihood Particle Filter for RSS-based Indoor Tracking

Attractive business cases in various application fields contribute to the sustained long-term interest in indoor localization and tracking by the research community. Location tracking is generally treated as a dynamic state estimation problem, consisting of two steps: (i) location estimation through measurement, and (ii) location prediction. For the estimation step, one of the most efficient and low-cost solutions is Received Signal Strength (RSS)-based ranging. However, various challenges - unrealistic propagation model, non-line of sight (NLOS), and multipath propagation - are yet to be addressed. Particle filters are a popular choice for dealing with the inherent non-linearities in both location measurements and motion dynamics. While such filters have been successfully applied to accurate, time-based ranging measurements, dealing with the more error-prone RSS based ranging is still challenging. In this work, we address the above issues with a novel, weighted likelihood, bootstrap particle filter for tracking via RSS-based ranging. Our filter weights the individual likelihoods from different anchor nodes exponentially, according to the ranging estimation. We also employ an improved propagation model for more accurate RSS-based ranging, which we suggested in recent work. We implemented and tested our algorithm in a passive localization system with IEEE 802.15.4 signals, showing that our proposed solution largely outperforms a traditional bootstrap particle filter.