ISEP – LSA – Livro, parte de livro, ou capítulo de livro
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- Active Learning Strategies for Sustainable Engineering: The case of the European Project Semester at ISEPPublication . Duarte, Abel J.; Malheiro, Benedita; Silva, Manuel F.; Ferreira, Paulo; Guedes, PedroEngineering aims to improve the quality of daily life on a planet with limited resources. This chapter describes how the European Project Semester offered by the School of Engineering of the Porto Polytechnic contributes to make engineering undergraduates conscious of their environmental and societal impact. The program is a project-based active learning framework where problem-solving is supported by intercultural communication and creativity, ethical and sustainable reasoning, and global contextual analysis. This analysis shows that it fosters scientific, technical, and interpersonal competencies, emphasizing ethical and sustainable design as recommended by several reference institutions through the testimonials left on the project reports and the evolution perceived by the participants during the semester. These findings are supported by a sample of 45 projects conducted by 228 students from 23 countries and 65 degrees. All projects aimed to have a lasting impact on the future engineering practice of participants and, somehow, transform the world positively.
- Airfoil Selection and Wingsail Design for an Autonomous SailboatPublication . Silva, Manuel F.; Malheiro, Benedita; Guedes, Pedro; Ferreira, PauloOcean exploration and monitoring with autonomous platforms can provide researchers and decision makers with valuable data, trends and insights into the largest ecosystem on Earth. Regardless of the recognition of the importance of such platforms in this scenario, their design and development remains an open challenge. In particular, energy efficiency, control and robustness are major concerns with implications in terms of autonomy and sustainability. Wingsails allow autonomous boats to navigate with increased autonomy, due to lower power consumption, and greater robustness, due to simpler control. Within the scope of a project that addresses the design, development and deployment of a rigid wing autonomous sailboat to perform long term missions in the ocean, this paper summarises the general principles for airfoil selection and wingsail design in robotic sailing, and are given some insights on how these aspects influence the autonomous sailboat being developed by the authors.
- APASail—An Agent-Based Platform for Autonomous Sailing Research and CompetitionPublication . Alves, Bruno; Veloso, Bruno; Malheiro, BeneditaThis paper presents a platform for real and simulated autonomous sailing competitions, which can also be used as a research tool to test and assess navigation algorithms. The platform provides back-end services – competition server, boat modelling and data storage – and supports external browsers and software agents as front-end clients. The back-end adopts the Multi-Agent System (MAS) paradigm for the internal modelling of sailing boats and offers a Web Service Application Programming Interface (API) for the external software agents and a Web application for Web browsers. As a whole, the platform offers tracking (real competitions) and simulation (simulated competitions) modes. The testing and assessment of navigation algorithms and boat models correspond to private simulated competitions. In simulation mode, the back-end internal boat agent implements a simplified physical model, including the weight, sail area, angle of the sail and rudder, velocity and direction of the wind and position and velocity of the hull, whereas the front-end external boat agent implements the navigation algorithm on the team side, ensuring the privacy of strategic knowledge. The Web application allows the configuration and launching of competitions, the registration of teams and researchers, the uploading of boat physical features for simulation as well as the live or playback viewing of real and simulated competitions. The simulation mode is illustrated with the help of a case study. The proposed platform, which is open, scalable, modular and distributed, was designed for the research community to prepare, run and gather data from real and simulated autonomous sailing competitions.
- Artistic Robot – An EPS@ISEP 2016 ProjectPublication . Dziomdziora, Adam; Sin, Daniel Nicolae; Robertson, Fraser; Mänysalo, Mikko; Pattiselano, Nona; Duarte, Abel; Malheiro, Benedita; Ribeiro, Cristina; Ferreira, Fernando; Silva, Manuel F.; Ferreira, Paulo; Guedes, PedroThis 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.
- Classification and Recommendation With Data StreamsPublication . Veloso, Bruno; Gama, João; Malheiro, BeneditaNowadays, with the exponential growth of data stream sources (e.g., Internet of Things [IoT], social networks, crowdsourcing platforms, and personal mobile devices), data stream processing has become indispensable for online classification, recommendation, and evaluation. Its main goal is to maintain dynamic models updated, holding the captured patterns, to make accurate predictions. The foundations of data streams algorithms are incremental processing, in order to reduce the computational resources required to process large quantities of data, and relevance model updating. This article addresses data stream knowledge processing, covering classification, recommendation, and evaluation; describing existing algorithms/techniques; and identifying open challenges.
- Collaborative Filtering with Semantic Neighbour DiscoveryPublication . Veloso, Bruno; Malheiro, Benedita; Burguillo, Juan CarlosNearest 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.
- Crowdsourced Data Stream Mining for Tourism RecommendationPublication . Leal, Fátima; Veloso, Bruno; Malheiro, Benedita; Juan Carlos, BurguilloCrowdsourced data streams are continuous flows of data generated at high rate by users, also known as the crowd. These data streams are popular and extremely valuable in several domains. This is the case of tourism, where crowdsourcing platforms rely on tourist and business inputs to provide tailored recommendations to future tourists in real time. The continuous, open and non-curated nature of the crowd-originated data requires robust data stream mining techniques for on-line profiling, recommendation and evaluation. The sought techniques need, not only, to continuously improve profiles and learn models, but also be transparent, overcome biases, prioritise preferences, and master huge data volumes; all in real time. This article surveys the state-of-art in this field, and identifies future research opportunities.
- Didactic Robotic Fish – An EPS@ISEP 2016 ProjectPublication . Reinhardt, Achim; Esteban, Alvaro Chousa; Urbanska, Justyna; McPhee, Martin; Greene, Terry; Duarte, Abel; Malheiro, Benedita; Ribeiro, Cristina; Ferreira, Fernando; Silva, Manuel F.; Ferreira, Paulo; Guedes, PedroThis 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.
- Elderly Monitoring – An EPS@ISEP 2020 ProjectPublication . Priebe, Julian; Swiatek, Klaudia; Vidinha, Margarida; Vaduva, Maria-Roxana; Tiits, Mihkel; Sorescu, Tiberius-George; Malheiro, Benedita; Castro Ribeiro, Maria Cristina de; Justo, Jorge; Silva, Manuel F.; Ferreira, Paulo; Guedes, PedroIn the spring of 2020, six undergraduate students from diverse countries and engineering fields decided to design together a solution to monitor the elderly. This project was performed as part of the European Project Semester (EPS) programme at Instituto Superior de Engenharia do Porto (ISEP). The EM-BRACE solution encompasses two interconnected devices (a home station and a bracelet) and mobile/Web twin applications. The bracelet measures and transmits vital user data (pulse, temperature and impacts) to the home station, whereas the latter measures home environment parameters (temperature, humidity and pressure) and sends local and bracelet data to an Internet of Things (IoT) platform. This way, these data become accessible via the mobile/Web application. Thereby, EM-BRACE monitors the health and environment of the elderly and timely notifies caregivers about problems, contributing to the well-being of the elderly and their families.
- Engineering a Sustainable Future with EPS@ISEPPublication . Malheiro, Benedita; Guedes, Pedro; Leal Filho, Walter; Gasparetto Rebelatto, Bianca; Annelin, Alice; Boström, Gert-OlofThe challenge of engineering education is to transform engineering students into agents of innovation and well-being. In addition to solid scientific and technical knowledge, critical thinking, problem-solving and interpersonal competencies, it implies the ability to design and implement solutions supported by ethical and sustainability principles. With this goal in mind, the European Project Semester (EPS) provides a student-centred project-based learning framework. It is offered by a group of European higher education institutions, including the Instituto Superior de Engenharia do Porto (ISEP), the engineering school of the Polytechnic of Porto. Students work in teams of four to six, from different fields of study and nationalities, to design solutions to problems that affect individuals, society or the planet, taking into account the state of the art, the market and the ethical and sustainability implications of their decisions. These solutions are then implemented in a proof-of-concept prototype. Most of the projects address problems in education, the environment, food production and smart cities and have a strong educational, ethical and sustainability drive, encouraging students to develop sustainability competencies. This work analyses team papers of illustrative EPS@ISEP projects searching for evidences of the development of sustainability competencies. The proposed method maps keywords related to the sixteen United Nations Sustainable Development Goals to the contents of team papers by applying natural language processing and reusing the list of SDG keywords proposed by Auckland University. The results confirm EPS@ISEP fosters sustainability competencies in engineering undergraduates.