Abstract
The Electronic Medical Record (EMR) integrates heterogeneous information within a Healthcare Institution stressing the need for security and access control. The Biostatistics and Medical Informatics Department from Porto Faculty of Medicine has recently implemented a Virtual EMR (VEMR) in order to integrate patient information and clinical reports within a university hospital. With more than 500 medical doctors using the system on a daily basis, an access control policy and model were implemented. However, the healthcare environment has unanticipated situations (i.e. emergency situations) where access to information is essential. Most traditional policies do not allow for overriding. A policy that allows for "Break-The-Glass (BTG)" was implemented in order to override access control whilst providing for non-repudiation mechanisms for its usage. The policy was easily integrated within the model confirming its modularity and the fact that user intervention in defining security procedures is crucial to its successful implementation and use.

Abstract

Abstract
Physically based global illumination rendering at interactive frame rates would enable users to navigate within complex virtual environments, such as archaeological models. These algorithms, however, are computationally too demanding to allow interactive navigation on current PCs. A technique based on image subsampling and spatiotemporal coherence among successive frames is exploited, while resorting to progressive refinement whenever there is available computing power. A physically based ray tracer (Radiance) is used to compute reflected radiance at the model's triangles vertices. Progressive refinement is achieved increasing the sampling frequency by subdividing certain triangles and requesting shading information for the resulting vertices. This paper proposes and evaluates different criteria for selecting which triangles to subdivide. A random criterium and two criteria based on Normalized Luminance Differences are evaluated: one operating on image space, the other on object space. Results, obtained with a model of an old roman town, show that the object space criterium is able to locate and represent visual discontinuities, such as shadows, and does so requiring less triangle subdivisions than the other two.

Abstract
The 2006 Eurographics Symposium on Parallel Graphics and Visualization took place at Universidade do Minho, Barga, Portugal. There were a total of 47 registered participants which represents a significant increase in the number of attendees compared to previous editions of the event. The goal was to enable people to attend all events in an attempt to answer a reciprocal interest on research works. It was believed that by organizing related events in the same geographical area it is able to attract more participants for each events. The first keynote was on Rendering on Demand by Alan Chalmers from the University of Bristol. The second keynote was devoted entirely to commodity visualization clusters and many other papers generated results using clusters.

Abstract
Desktop video editing plays an important role in the digital video market, and cooperative applications are important for organizations. Cooperative video editing tools can be an interesting solution for large broadcasters or for remote reporting, and such commercial products are lacking. This paper describes a cooperative video editing tool, Coview, which uses Web services to provide the cooperative functionalities. For this purpose, an overview is given of the basic issues of Web Services and Computer Supported Cooperative Work. Then, the Web Services-based cooperative infrastructure and the Coview prototype is described. Finally, some experimental results and concluding remarks are presented.

Abstract
Prediction models for generation from renewables are needed in the context of a power system with a diversified portfolio. The presentation will discuss a new criterion and procedure to develop prediction models based on Renyils Entropy combined with Parzen windows (an approach named Information Theoretic Learning) that is applied to wind prediction and suggested as a better training paradigm for fuzzy or neural systems.