Abstract

Abstract
Power industry has been deeply restructured in recent decades. Along this period vertically integrated structures evolved to more disaggregated models in which some activities are now provided under competition as generation and retailing while some others are provided under regulated monopolies as network transmission and distribution. Simultaneously, most countries started to encourage the use of renewable sources, namely to cope with environmental issues and to enlarge the energy independency. Having in mind these ideas and given the development of the Iberian Electricity Market and the increase of the installed capacity in units paid by feed-in tariffs, it becomes important to estimate the impact of this feed-in generation in the market prices. This paper describes the approach that was developed to estimate this impact and the implemented software application. This application was then used to evaluate the impact on prices on all trading hours of 2013 of the Portuguese photovoltaic generation, the Portuguese wind generation, all the Portuguese feed-in generation and also all the Iberian feed-in generation.

Abstract
Since the dawn of human civilization that cooperation among individuals is observed. In the most primitive stage this phenomenon was manifested through hunting groups, progressing to the construction of objects and buildings and in a later phase in the construction of modem society itself. Nowadays with the advent of technology and rise of ICT, collaborative processes across workgroups in organizations have been increasingly supported by this concept. The use of technology for supporting collaborative processes of working groups led to the creation of areas of study as CSCW and Groupware. In the health area, collaborative platforms have been used for supporting medical distance learning, social networks for collaboration, patient monitoring, discussion forums and sharing of medical media content. This paper has the goal of analyzing teclmological advances and the application of collaborative platforms in the health area, through an exploratory work of literature and application analysis and discussion.

Abstract
We propose a systematic concatenated coding scheme based on the combination of interleaving with powerful channel codes and jamming for wireless secrecy under the practical assumption of codes in the finite blocklength regime. The basic idea lies in generating a short random key that is used to shuffle/interleave information at the source, Alice. This key is then sent to the legitimate receiver, Bob, during a brief period of advantageous communication over the eavesdropper Eve (e.g., due to more interference from a jammer). Finally, the key is decoded at Bob to properly deinterleave the original information. Bob receives a better quality version of the interleaving key, therefore having the needed advantage over Eve. Information reliability is provided by a strong inner code, while security against Eve results from the proper selection of the outer code and interference levels over the key. We propose a methodology for selection of the outer code with reliability and security constraints. For that, we introduce bit error complementary cumulative distribution function metrics, suitable for security and reliability analysis of error correcting codes.

Abstract
Scientific data analyses often apply a pipelined sequence of computational tasks to independent datasets. Each task in the pipeline captures and processes a dataset element, may be dependent on other tasks in the pipeline, may have a different computational complexity and may be filtered out from progressing in the pipeline. The goal of this work is to develop an efficient scheduler that automatically (i) manages a parallel data reading and an adequate data structure creation, (ii) adaptively defines the most efficient order of pipeline execution of the tasks, considering their inter-dependence and both the filtering out rate and the computational weight, and (iii) manages the parallel execution of the computational tasks in a multicore system, applied to the same or to different dataset elements. A real case study data analysis application from High Energy Physics (HEP) was used to validate the efficiency of this scheduler. Preliminary results show an impressive performance improvement of the pipeline tuning when compared to the original sequential HEP code (up to a 35x speedup in a dual 12-core system), and also show significant performance speedups over conventional parallelization approaches of this case study application (up to 10x faster in the same system).

Abstract
In recent years Serious Games have gained a new importance, very driven by the proliferation of video games and its application in diverse areas. Cognitive rehabilitation is a major area where Serious Games can assume a relevant role. Traditional cognitive therapies quickly become repetitive and discouraging for patients. To mitigate these problems, Serious Games based tools are necessary to create more dynamic rehabilitation processes, holding the attention of the patients throughout the process and motivating them during their road to recovery. This paper describes a web platform for Serious Games in cognitive rehabilitation that integrates a set of features that include natural and multimodal user interfaces and social features (collaboration, competition and handicapping) which can be used to augment the motivation of patients during the rehabilitation process. Results observed in a study with healthy subjects indicate that the platform offers good usability.