Abstract
The European Project Semester (EPS) is a one-semester capstone project/internship program offered to engineering, product design and business undergraduates by 18 European engineering schools. EPS aims to prepare future engineers to think and act globally, by adopting project-based learning and teamwork methodologies, fostering the development of complementary skills and addressing sustainability and multiculturalism. In 2016, two EPS@ISEP teams embraced the challenge of building a robust, inexpensive, modular, comfortable and safe wooden / metallic dome using simple techniques and sustainable materials. This challenge is demanding -requires a multidisciplinary and user-centred design -As well as rewarding -contributes to satisfy the right to adequate, safe and affordable housing as stated in the United Nations Sustainable Development Goals. The goal is to solve the problem in a modular and sustainable way, i.e., by using repetitive linear elements made of locally available materials. This approach aims to dramatically decrease the cost of production and shipping, simplify the construction process and address the needs of the dome users. Although geodesic cross-linked structures have been studied for some time, their design requires the involvement of all stakeholders as well as a team which understands and integrates the contributions from areas such as electronics, mechanics, civil, environmental or materials engineering. The project-based learning approach fosters, on the one hand, autonomy, responsibility and the ability to make sound technical-scientific choices and, on the other hand, develops teamwork, sustainable development and personal and cross-cultural communication skills, while promoting the emergence of innovative, creative and sometimes audacious solutions, typical of the youth. ©2016 ACM. © 2016 ACM.

Abstract
The European Project Semester (EPS) is a one-semester capstone project/internship programme offered to engineering, product design and business undergraduates by 18 European engineering schools. EPS aims to prepare future engineers to think and act globally, by adopting project-based learning and teamwork methodologies, fostering the development of complementary skills and addressing sustainability and multiculturalism. Since 2011, the EPS@ISEP programme offers a set of multidisciplinary projects to multicultural teams of students, so that each team element can bring to the project its previous knowledge and background experience. In the spring of 2013, a team choose to develop a pet tracker to provide pet owners with information regarding the whereabouts of their pets and, above all, to reduce the number of pets lost. After analysing related products, the team decided to add extra features for product differentiation. Combining a triple-axis accelerometer, a low cost GPS receiver and the GSM/GPRS communication technology, the team designed a system providing pet location, tracking, map display and activity monitoring services. This paper describes the development process of the Pet Tracker system, comprising a wearable device for pets and a website for pet owners.

Abstract
This paper presents the development of Bubbles, a didactic robotic fish created within the scope of the European Project Semester offered by the School of Engineering of the Polytechnic of Porto. The robotic toy is intended to provide children with an appropriate set up to learn programming and become acquainted with technology. Consequently, Bubbles needs to appeal to young children and successfully blend fun with learning. The developer team, composed of five engineering students from different fields and nationalities, conducted multiple research and discussions to design Bubbles, while keeping the fish movements and programming simple. The fish body was created with a colourful appearance, ensuring floatability, waterproofness and including a tail, inspired on real life fish, for locomotion and to retain a fish-like appearance. Finally, the team designed a website where they share, in different languages, the blue-prints of the structure, the schematics of the control system, the list of material, including electronic components, the user assembly and operation manual as well as propose exploring activities. © Springer International Publishing AG 2017.

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
Nearest neighbour collaborative filtering (NNCF) algorithms are commonly used in multimedia recommender systems to suggest media items based on the ratings of users with similar preferences. However, the prediction accuracy of NNCF algorithms is affected by the reduced number of items - the subset of items co-rated by both users typically used to determine the similarity between pairs of users. In this paper, we propose a different approach, which substantially enhances the accuracy of the neighbour selection process - a user-based CF (UbCF) with semantic neighbour discovery (SND). Our neighbour discovery methodology, which assesses pairs of users by taking into account all the items rated at least by one of the users instead of just the set of co-rated items, semantically enriches this enlarged set of items using linked data and, finally, applies the Collinearity and Proximity Similarity metric (CPS), which combines the cosine similarity with Chebyschev distance dissimilarity metric. We tested the proposed SND against the Pearson Correlation neighbour discovery algorithm off-line, using the HetRec data set, and the results show a clear improvement in terms of accuracy and execution time for the predicted recommendations.

Abstract
This paper reports the design and development process of an artistic robot by a team of five engineering and design students from Belgian, Finland, Poland, Romania and Scotland. To contribute to this goal, the team designed and assembled GraphBot, a voice commanded drawing robot prototype, following the EPS@ISEP process. In addition, the team specified their target as young children and, in particular girls, and stated that their motivation was to introduce young generations to the world of science, technology, engineering and mathematics (STEM). In terms of outcomes, this project is expected to go beyond the boundaries of the traditional development of scientific and technical competences, by providing the students with a holistic learning experience, fostering also the development of personal and inter-personal skills within a multidisciplinary and multicultural teamwork set-up. © Springer International Publishing AG 2017.