Abstract
The spread and globalization of distributed generation (DG) in recent years has should highly influence the changes that occur in Electricity Markets (EMs). DG has brought a large number of new players to take action in the EMs, therefore increasing the complexity of these markets. Simulation based on multi-agent systems appears as a good way of analyzing players' behavior and interactions, especially in a coalition perspective, and the effects these players have on the markets. MASCEM - Multi-Agent System for Competitive Electricity Markets was created to permit the study of the market operation with several different players and market mechanisms. MASGriP - Multi-Agent Smart Grid Platform is being developed to facilitate the simulation of micro grid (MG) and smart grid (SG) concepts with multiple different scenarios. This paper presents an intelligent management method for MG and SG. The simulation of different methods of control provides an advantage in comparing different possible approaches to respond to market events. Players utilize electric vehicles' batteries and participate in Demand Response (DR) contracts, taking advantage on the best opportunities brought by the use of all resources, to improve their actions in response to MG and/or SG requests.

Abstract
This paper presents an artificial neural network applied to the forecasting of electricity market prices, with the special feature of being dynamic. The dynamism is verified at two different levels. The first level is characterized as a re-training of the network in every iteration, so that the artificial neural network can able to consider the most recent data at all times, and constantly adapt itself to the most recent happenings. The second level considers the adaptation of the neural network's execution time depending on the circumstances of its use. The execution time adaptation is performed through the automatic adjustment of the amount of data considered for training the network. This is an advantageous and indispensable feature for this neural network's integration in ALBidS (Adaptive Learning strategic Bidding System), a multi-agent system that has the purpose of providing decision support to the market negotiating players of MASCEM (Multi-Agent Simulator of Competitive Electricity Markets). © 2012 IEEE.

Abstract
The art of telling stories in digital format is currently widely available due to the popularization of digital cameras, computers and other mobile devices. In this paper we discuss the use of collaborative learning strategies based on Digital Storytelling in corporative training. The text includes a concise review on theoretical and technical foundations about educational communication through the use of audiovisual products based on disciplines such as Communication, Education and Cognitive Sciences. We will also discuss how Digital Storytelling may be integrated in traditional contents oriented self-training systems, used by many corporations. However the main focus will be the discussion of the potential of the use of Digital Storytelling methodology in corporative training context which will be detailed based on data collected in scenarios from Portugal and Brazil. The paper is based on qualitative research and it will argue that digital storytelling may contribute to the improvement of the effectiveness of collaborative learning processes in corporative training, because it provides means for the swift delivery of highly contextualized learning materials and the sharing of relevant personal trainers and trainees’ experiences. Furthermore, Digital Storytelling methodology provides an opportunity to value, respect and promote the multiple and different cultural and social interactions in the corporative knowledge construction process. The research methodology adopted on this study involved three phases: 1) literature review; 2) detailed analysis of the digital Storytelling methodology and its implications in corporative training context; 3) collecting data from and discussing about some corporative cases in Portugal and Brazil. The result of the research aims at suggesting a critical analysis and creative attitude in the production of audiovisual teaching materials for the corporative training context.

Abstract
O potencial dos testemunhos pessoais em educação tem recolhido o interesse de muitos investigadores e profissionais do sector dado a riqueza desses materiais para promoverem aprendizagens significativas. No entanto esse potencial ainda necessita de ser explorado em contexto de formação empresarial, em que ainda são mal conhecidos os desafios e soluções para as várias questões relevantes, entre as quais: organização e estrutura dos materiais de formação; requisitos de produção; dinâmicas de formação; avaliação de resultados. Estudar, dos pontos de vista conceptual e de implementação, estas questões foi a principal motivação de um projeto de investigação realizado em parceria pela unidade de investigação CETAC.MEDIA da Universidade de Aveiro e a empresa PT Inovação S.A., que teve como contexto de estudo o portal de Objetos de Aprendizagem COLOR em desenvolvimento na empresa.

Abstract
Finding an effective control interface to manipulate complex geometric objects has traditionally relied on experienced users to place the animation controls. This process, whether for key framed or for motion captured animation, takes a lot of time and effort. We introduce a novel sketching interface control system inspired in the way artists draw, in which a stroke defines the shape of an object and reflects the user's intention. We also introduce the canvas, a 2D drawing region where the users can make their strokes, which determines the domain of interaction with the object. We show that the combination of strokes and canvases provides a new way to manipulate the shape of an implicit volume in space. And most importantly, it is independent from the 3D model rig. The strokes can be easily stored and reused in other characters, allowing retargeting of poses. Our interactive approach is illustrated using facial models of different styles. As a result, we allow rapid manipulation of 3D faces on the fly in a very intuitive and interactive way. Our informal study showed that first time users typically master the system within seconds, creating appealing 3D poses and animations in just a few minutes. © 2011 ACM.

Abstract
Good design and implementation are necessary but not sufficient pre-requisites for successfully reusing object-oriented frameworks. Although not always recognized, good documentation is crucial for effective framework reuse, and often hard, costly, and tiresome, coming with many issues, especially when we are not aware of the key problems and respective ways of addressing them. Based on existing literature, case studies and lessons learned, the authors have been mining proven solutions to recurrent problems of documenting object-oriented frameworks, and writing them in pattern form, as patterns are a very effective way of communicating expertise and best practices. This paper presents a small set of patterns addressing problems related to the framework documentation itself, here seen as an autonomous and tangible product independent of the process used to create it. The patterns aim at helping non-experts on cost-effectively documenting object-oriented frameworks. In concrete, these patterns provide guidance on choosing the kinds of documents to produce, how to relate them, and which contents to include. Although the focus is more on the documents themselves, rather than on the process and tools to produce them, some guidelines are also presented in the paper to help on applying the patterns to a specific framework. © 2011 Springer-Verlag Berlin Heidelberg.