Abstract

Abstract
This research aims to explore the importance of tourism activities for student mobility, considering the decision process, the experience of the students while on mobility, and their loyalty to the host region, including their cooperation in promoting local attractions among relatives and friends. We present qualitative results obtained from focus groups with Erasmus students from diverse countries inside and outside Europe, who spent at least one semester in the University of Aveiro, Portugal. The discussions explored students' perceptions, experiences and practices before and during the mobility. Our results include evidence on how traveling opportunities are an inherent part of Erasmus students' mobility. Overall, their tourist activities are shown as strong enhancers of the learning process while on mobility, despite competing with limited resources of time and money. Traveling is also an opportunity to spend time with family and friends, namely with other mobility students at the same host university, fostering integration and a higher degree of satisfaction with the mobility experience. In turn, the extended exposure to a different language and culture transform mobility students into ideal ambassadors of the host country, contributing significantly to the promotion of their mobility destinations.

Abstract
Currently Information and Communication Technologies (ICT) support most of the industrial manufacturing processes. The IT revolution has brought an important transformation in organizations with high impacts, which are comparable to the mechanization and electricity brought in the first and second industrial revolution. This evolvement has promoted the emergence of cloud-based systems, the Internet of Things (IoT), Big Data, Industry 4.0, BYOD (Bring Your Own Device) and CYOD (Choose Your Own Device) trends. However, new technological solutions always carry security vulnerabilities, which most of time reveal unexpected risks. In fact, with increasing reliance on technology to gain competitive advantage, security issues have been one of the most critical and challenging requirements for conducting successful business. In this paper, it is highlighted some reflections regarding the challenges of Industry 4.0 emphasizing the security issues, towards raising awareness for security good practices within Industry 4.0. (C) 2017 The Authors. Published by Elsevier B.V.

Abstract

Abstract
This paper addresses different techniques for modelling electrochemical energy storage (ES) devices in insular power network applications supported on real data. The first contribution is a comprehensive performance study between a set of competing electrochemical energy storage technologies: Lithium-ion (Li-ion), Nickel-Cadmium (NiCd), Nickel-Metal Hydride (NiMH) and Lead Acid (PbA) batteries. As a second contribution, several key engineering parameters with regards to the PbA battery-based storage solution are examined, such as cell charge distribution, cell string configuration and battery capacity fade. Finally, as a third contribution, an ES system operating criterion is discussed and proposed to manage the inherent rapid aging of the batteries due to their cycling activity. The simulation results are supported on real data from two non-interconnected power grids, namely Crete (Greece) and Sao Miguel (Portugal) Islands, for demonstration and validation purposes.

Abstract
Analysis of automatically-generated alignments shows that ambiguous situations are quite common, preventing their application in scenarios demanding high quality and completeness, such ontology mediation (e.g. data transformation and information/knowledge integration). Even the best-performing alignment needs to be manually corrected, completed and verified before application. In this paper, we propose a decision support system (DSS) based in a general-purpose rule engine that assists the expert on improving and completing the automatically-generated alignments into fully-fledged alignments, balancing the precision and recall of the system with the user participation in the process. For that, the rules capture the preconditions (existing facts) and the actions to solve each (ambiguous) alignment scenario, in which the expert decision will be adopted in further automatic decisions. The evaluation of the proposed DSS shows the gain in reducing the need for expert's decisions while increasing the accuracy of the alignments.