Abstract
This paper introduces VUMO, a visualization-oriented ontology that formalizes the knowledge about urban mobility events (e.g. ridership and travel intentions) and visualization techniques. It focuses on serving as a foundation for the development of semi-automatic visualization tools, while also facilitating the process of data integration. The ontology allows techniques to be characterized with human perception factors, so they can be considered when automatically infering recommended techniques for a dataset. The ultimate goal is to benefit transportation decision makers and foster the development of semantically rich visualization techniques. We propose a structured visualization workflow based on VUMO, and apply it to the development of a prototype featuring real data extracted from a journey planner mobile application.

Abstract
The emergence of self-consumption in low voltage consumers has technical and regulatory consequences, due to the changes in the network flows. In this paper these impacts are analysed through a small case study where different production/storage arrangements are considered. The technical analysis shows the voltage profiles' variation and identifies possible overvoltages and the effect of mitigation measures like storage. The regulatory analysis shows that, in order to maintain the remuneration of the Distribution System Operator (DSO) and Transmission System Operator (TSO), network tariffs parameters would change dramatically for the ordinary consumers, unless new rules are defined for the contribution of LV consumers.

Abstract
The effort of creating virtual city environments is reduced using procedural modelling techniques. However, these typically use split-based approaches which can impose limitations on the final geometry, usually enforcing a grid-like structure and require complex geometry to be imported. Layered shape grammars can increase the variability of procedural buildings, while the vectorial definition of shapes introduces the possibility of creating complex shapes that seamlessly blend into the model. We evaluate the contributions with a modelling example and a comparison with split-based procedural modelling techniques. Results show that layers allow more flexibility than split-based techniques in creating variations. Vectorially defined shapes are a step forward in shape grammar expressiveness.

Abstract
This paper presents CloudAnchor, a brokerage platform conceived to help Small and Medium Sized Enterprises (SME) embrace Infrastructure as a Service (IaaS) cloud computing both as providers and consumers. The platform, which transacts automatically single and federated IaaS cloud resources, is a multi-layered Multi-Agent System (MAS) where providers, consumers and virtual providers, representing provider coalitions, are modelled by dedicated agents. Federated resources are detained and negotiated by virtual providers on behalf of the corresponding coalition of providers. CloudAnchor negotiates and establishes Service Level Agreements (SLA) on behalf of SME businesses regarding the provision of brokerage services as well as the provision of single and federated IaaS resources. The discovery, invitation, acceptance and negotiation processes rely on a distributed trust model designed to select the best business partners for consumers and providers and improve runtime.

Abstract
Problem-Based Learning (PBL) has been used in several domains for almost two decades as a more efficient way to develop student's new skills. This approach lends itself well to teaching Industrial Communication Systems, allowing the students to acquire skills that enable them to solve a large set of concrete problems in an industrial context. Based on the authors experience in the Integrated Master in Electrical and Computer Engineering at the University of Porto in Portugal, we have developed a new hardware and software based platform for teaching industrial communications that is affordable and portable and amenable to PBL. This platform is the basis of a new course developed as a module in the MEDIS European project (MEDIS: A Methodology for the Formation of Highly Qualified Engineers at Masters Level in the Design and Development of Advanced Industrial Informatics Systems). This paper describes the course itself, the tools used and includes a brief discussion on the feedback received from early adopters among MEDIS participating universities.

Abstract
The renewable energy-based distributed generation (DG) implementation in power systems has been an active research area during the last few decades due to several environmental, economic and political factors. Although the integration of DG offers many advantages, several concerns, including protection schemes in systems with the possibility of bi-directional power flow, are raised. Thus, new protection schemes are strongly required in power systems with a significant presence of DG. In this study, an adaptive protection strategy for a distribution system with DG integration is proposed. The proposed strategy considers both grid-connected and islanded operating modes, while the adaptive operation of the protection is dynamically realized considering the availability of DG power production (related to faults or meteorological conditions) in each time step. Besides, the modular structure and fast response of the proposed strategy is validated via simulations conducted on the IEEE 13-node test system.