GeoNetwork: metadata and cataloging. French (GeoSource) and Swiss (geocat.ch) experiences

GeoNetwork opensource is a standards based, Free and Open Source catalog application to manage spatially referenced resources through the web. It is an OSGEO Project initiated by the Food and Agricultural Organization (FAO). The purpose of this presentation is to illustrate the implementation of such a catalog in national projects in France and in Switzerland. Firstly, we will present you the Geosource project undertaken by BRGM (http://www.brgm.fr/), gathering national and local authorities, national geographic survey, public organisations, associations in order to provide a metadata catalog for french users : definition of french iso profile, support for INSPIRE metadata requirements. Finally, we will present the SwissTopo geocat II project. The purpose of the project is to develop the next generation geospatial catalog for SwissTopo on the basis of GeoNetwork opensource. This both projects underline the closely collaboration between national authorities and the Geonetwork opensource community

An fMRI Study of Emotional engagement in decicion-making

It has been suggested that decision making depends on sensitive feelings associated with cognitive processing rather than cognitive processing alone. From human lesions, we know the medial anterior inferior-ventral prefrontal cortex processes the sensitivity associated with cognitive processing, it being essentially responsible for decision making. In this fMRI (functional Magnetic Resonance Image) study 15 subjects were analyzed using moral dilemmas as probes to investigate the neural basis for painful-emotional sensitivity associated with decision making. We found that a network comprising the posterior and anterior cingulate and the medial anterior prefrontal cortex was significantly and specifically activated by painful moral dilemmas, but not by non-painful dilemmas. These findings provide new evidence that the cingulate and medial anterior prefrontal are involved in processing painful emotional sensibility, in particular, when decision making takes place. We speculate that decision making has a cognitive component processed by cognitive brain areas and a sensitivity component processed by emotional brain areas. The structures activated suggest that decision making depends on painful emotional feeling processing rather than cognitive processing when painful feeling processing happens

Local model predictive control experiences with differential driven wheeled mobile robots

This work extends a previously developed research concerning about the use of local model predictive control in differential driven mobile robots. Hence, experimental results are presented as a way to improve the methodology by considering aspects as trajectory accuracy and time performance. In this sense, the cost function and the prediction horizon are important aspects to be considered. The aim of the present work is to test the control method by measuring trajectory tracking accuracy and time performance. Moreover, strategies for the integration with perception system and path planning are briefly introduced. In this sense, monocular image data can be used to plan safety trajectories by using goal attraction potential fields

Embedding Emotional Context in Recommender Systems

Emotions are crucial for user's decision making in recommendation processes. We first introduce ambient recommender systems, which arise from the analysis of new trends on the exploitation of the emotional context in the next generation of recommender systems. We then explain some results of these new trends in real-world applications through the smart prediction assistant (SPA) platform in an intelligent learning guide with more than three million users. While most approaches to recommending have focused on algorithm performance. SPA makes recommendations to users on the basis of emotional information acquired in an incremental way. This article provides a cross-disciplinary perspective to achieve this goal in such recommender systems through a SPA platform. The methodology applied in SPA is the result of a bunch of technology transfer projects for large real-world rccommender systems