ISEP – LSA – Comunicações em eventos científicos
URI permanente para esta coleção:
Navegar
Entradas recentes
- EPS@ISEP: Mapping sustainabilityPublication . Guedes, Pedro; BENEDITA CAMPOS NEVES MALHEIRO, MARIA; Arnó, Elisabete; Fuentes, Pedro; Malheiro, Benedita; Sánchez, Antonio J.; Monjo, LluisThe European Project Semester (EPS) is a project-based learning framework designed to prepare engineering undergraduates for future professional challenges. During one semester, multicultural multidisciplinary teams design, develop and test solutions to real problems affecting the planet, society or individuals, considering technical, sustainability, ethical, and market requirements. The implemented learning process gives teams the autonomy to make design decisions, as long as they are based on clear sustainability and ethical criteria. The aim is for students to develop skills not only in critical thinking, problem-solving, creativity, innovation, effective communication, collaboration, and teamwork, but above all, the ability to make decisions based on ethical and sustainability principles. This study aims to demonstrate that EPS@ISEP effectively contributes to the development of sustainability-oriented engineers. To this end, it compiles evidence found at the institutional level, represented by programme documentation, and the student level, represented by team deliverables. The method involves semi-automatic mapping of sustainability keywords compiled from the documents, as well as by other researchers. The results show that both the institution and the participants are aligned and committed to the design of sustainability-driven solutions.
- VIRIATO: Visual-Action Reinforcement Integrator for Actor-Critic with Temporal ObservationsPublication . Campanhã, João; Neves, Francisco; Pinto, Andry; BENEDITA CAMPOS NEVES MALHEIRO, MARIA; Fonseca, Pedro; Moreira, António; Neto, Pedro; Morais, Pedro; Lima, JoséThe Visual-Action Reinforcement Integrator for Actor-Critic with Temporal Observations (VIRIATO) is a compact multi-input feature-extractor architecture designed to enable robust visual navigation of Unmanned Aerial Vehicles (UAVs) conducting close-range inspection of photovoltaic arrays. The target task of low-altitude flight over dynamic, visually variable surfaces without privileged information is inherently partially observable. VIRIATO augments stacked image observations with a short history of recent past actions, producing a richer latent state for the Soft Actor-Critic (SAC) agent. Training is performed with domain randomization to expose the policy to diverse lighting, backgrounds and panel layouts. In simulation, VIRIATO yields faster learning and improved sample efficiency compared to a standard image-only Convolutional Neural Network (CNN) feature extractor, achieving lower position and yaw errors and substantially better robustness under image perturbations while retaining high task completion rates. The architecture is intentionally simple and general: it improves temporal awareness without adding complex recurrence, and it could be adapted to other perception-driven robotic tasks. These results demonstrate that integrating historical action data with visual encoding, together with domain randomization, is an effective way to achieve reliable autonomous vision-based navigation.
- Smart Pill Dispenser for Children - An EPS@ISEP 2024 ProjectPublication . Ehrenhofer, Lena; Borowski, Łukasz; Oliveira, Noé; Steyaert, Stijn; Kronshagen, Tamara; Clauwaert, Tibo; Duarte, Abel J.; BENEDITA CAMPOS NEVES MALHEIRO, MARIA; Castro Ribeiro, Maria Cristina de; JUSTO, Jorge; Silva, Manuel; Ferreira, Paulo; Guedes, Pedro; Auer, Michael E.; Rüütmann, TiiaPeople around the globe struggle with health issues requiring regular medication. Children, in particular, suffer more and more from chronic illnesses. In 2024, a team of six EPS@ISEP students chose to design a solution for this problem, followed by the assembly and testing of the corresponding proof-of-concept prototype. The aim was to design a solution for children to take the right medication, at the right time and in the right dose, in a pleasant and engaging way, based on technical, ethical, sustainability and market analyses. Focusing on children between the ages of 8 and 12, the team decided to incorporate a motivational system based on rewards to ensure that they take their medication correctly. The outcome is billy, a pill dispenser controlled via an app which allows carers to plan doses and release rewards, and children to autonomously take their medication. The system dispenses up to 21 doses of medication to the child through fingerprint authentication, and photographs the child taking the medication to reassure carers.
- Breeding endangered beetles - An EPS@ISEP 2024 ProjectPublication . Florus, Cedric; Lattunen, Jennifer; Knäuper, Julius; Jugiel, Krzysztof; Silva, Marion; Dekkers, Thomas; Duarte, Abel J.; BENEDITA CAMPOS NEVES MALHEIRO, MARIA; Santos Ribeiro, Maria Cristina; JUSTO, Jorge; Ferreira, Paulo; Silva, Manuel; Guedes, Pedro; Auer, Michael E.; Rüütmann, TiiaHabitat loss, climate change, and pesticide use are key threats affecting beetle populations. This paper describes Scarabreed, a project that contributes to mitigate the beetle decline crisis. It was carried out by a team of six European students from different engineering fields and nationalities within the European Project Semester (EPS) at the Instituto Superior de Engenharia do Porto (ISEP), a project-based and teamwork learning framework. The designed solution -- the Beetle Breeder Version 2 (BBV2) -- consists of a smart modular vivarium created especially for beetle breeding. It monitors and controls relevant habitat parameters and offers two user-friendly interfaces (on-device and a Web application). The innovative modular structure of the vivarium allows easy scaling, customisation, and transportation. As a whole, the project offers significant environmental benefits: (i) facilitates the captive breeding of endangered beetle species, promoting population restoration efforts; (ii) fosters, as an educational tool, youth and general public awareness about the crucial role beetles play in ecosystems; and (iii) adopts eco-efficient and responsible business practices by following ethics and sustainability driven design and marketing.
- Algae and Fish Farming: An EPS@ISEP 2022 ProjectPublication . Blomme, Rose-Farah; Domissy, Zoé; Dylik, Zuzanna; Hidding, Thomas; Röhe, Alina; Duarte, Abel J.; BENEDITA CAMPOS NEVES MALHEIRO, MARIA; JUSTO, Jorge; Ferreira, Paulo; Guedes, Pedro; Castro Ribeiro, Maria Cristina de; Silva, Manuel; Auer, Michael E.; Rüütmann, TiiaThe European Project Semester (EPS) at Instituto Superior de Engenharia do Porto (ISEP) is a capstone engineering design program where students, organised in multidisciplinary and multicultural teams, create a solution for a proposed problem, bearing in mind ethical, sustainability and market concerns. The project proposals are usually aligned with the United Nations Sustainable Development Goals (SDG). New sustainable food production methods are essential to cope with the continuous population growth and aligned with SDG2 and SDG12. In this context, this paper describes the research and work done by a team of Erasmus students enrolled in EPS@ISEP during the spring of 2022. Since sustainable algae farming can be a suitable source of food, the team's goal was the design and develop a proof-of-concept prototype, named GREEN·flow, of a symbiotic aquaponic system to farm algae and fish. The smart GREEN·flow concept comprises a modular structure and an app for control and supervision. The proposed design was driven by state-of-the-art research, targeted to a specific market niche based on a market analysis, and considering sustainability and ethics concerns, all of which are described in this manuscript. A proof-of-concept prototype was built and tested to verify that it worked as intended.
- Raising Awareness to Waste Collection and Recycling in Urban Spaces – An EPS@ISEP 2023 ProjectPublication . Bohon, Nina; Durand, Olivier; Emmelot, Charlotte; Hellemans, Koen; Jasny, Lukas; Reisinger, Kathrin; Duarte, Abel J.; Malheiro, Benedita; Ribeiro, Cristina; Justo, Jorge; Silva, Manuel F.; Ferreira, Paulo; Guedes, PedroThe European Project Semester (EPS) at Instituto Superior de Engenharia do Porto (ISEP) is a capstone engineering design programme in which students, organised in multidisciplinary and multicultural teams, develop a solution for a proposed problem, taking into account sustainability, ethical and market concerns. This paper describes a research project aimed at raising awareness and changing behaviour in relation to waste disposal, carried out by a team of EPS@ISEP students during spring 2023. BinIt, as the project is named, targets young adults who want to live in a cleaner city. Unlike other campaigns, it simplifies and stimulates proper waste disposal and recycling, tackling the root of the problem and creating a new social norm. BinIt includes a campaign, a web app and the Garbage Gladiator bin. The app consists of a city map where users can pin and check bin locations, and an educational platform with information on waste disposal and recycling issues. Gamification is incorporated through a ranking system. The Garbage Gladiator is a physical container for urban public spaces specially designed to encourage people to dispose of their waste correctly.
- Smart Adjustable Furniture – An EPS@ISEP 2023 ProjectPublication . Prończuk, Astrid; Mertz-Revol, Clément; Hinzpeter, Jan; Smeets, Julie; Chmielik, Mario; Duarte, Abel J.; Malheiro, Benedita; Ribeiro, Cristina; Justo, Jorge; Silva, Manuel F.; Ferreira, Paulo; Guedes, PedroSmall living spaces require ingenious solutions that are functional, ergonomic and, above all, reconfigurable. This project for smart, ergonomic and adjustable furniture was embraced by a team of students from different countries, universities and study areas enrolled in the European Project Semester (EPS) at Instituto Superior de Engenharia do Porto (ISEP). EPS is a design project where international students work in teams to create a solution to a real problem from scratch, analysing the state of the art, the market and the associated ethical and sustainability issues. As a project-based learning process, EPS aims to prepare engineering students to work together in multidisciplinary teams, develop personal skills and address the challenges of the contemporary world. The current project aims to design, simulate and test an ethically and sustainability-driven safe and transformable furniture. Amplea is the adjustable furniture solution developed by five EPS students in spring 2023. It transforms into a kitchen counter, dining table or standing desk. By transforming easily, Amplea’s design provides more comfort and saves space in small living spaces. This paper summarises the research, the design of the solution and the development and testing of the proof-of-concept prototype.
- Cattle Monitoring Blimp – An EPS@ISEP 2023 ProjectPublication . Blommestijn, Krijn; Dallongeville, Kylian; Paulsen, Maximilian; Mamos, Michal; Gupta, Sonia; Duarte, Abel J.; Malheiro, Benedita; Ribeiro, Cristina; Justo, Jorge; Silva, Manuel F.; Ferreira, Paulo; Guedes, PedroThis paper describes the project based learning experience of a multidisciplinary and multicultural team of students enrolled in the spring of 2023 on the European Project Semester at the Instituto Superior de Engenharia do Porto (EPS@ISEP). Animo is an original blimp based concept that aims to help farmers better manage their livestock. Its development was motivated by the difficulty to effectively monitor cattle herds over vast areas, especially in remote locations where locating animals is challenging. This environmentally friendly solution offers real-time livestock monitoring without thermal engines. Real-time monitoring is achieved through the blimp's extensive animal data collection. Farmers may discover and handle quickly herd welfare issues by accessing information via a user-friendly App. With an emphasis on accessibility and environmental sustainability, Animo seeks to increase agricultural productivity and profitability. The user controls the blimp motion through the app to obtain a comprehensive farm view. Targeting Australia's large cattle stations, it aims to enhance productivity while minimising the environmental impact.
- Smart Supermarket Cart - An EPS@ISEP 2023 ProjectPublication . Orós, Miquel; Robu, Marian-Daniel; van Klaveren, Hessel; Gajda, Dominika; Van Dyck, Jelte; Krings, Tobias; Duarte, Abel J.; Malheiro, Benedita; Ribeiro, Cristina; Justo, Jorge; Silva, Manuel F.; Ferreira, Paulo; Guedes, PedroThe technological revolution experienced over the last two decades, together with changes in shopping behaviour, has led supermarkets to consider smart shopping trolleys. Recently, several companies have tested and implemented smart services and devices, such as smart shopping carts with scanners, automatic payment methods, or self-payment locations, to maximise supermarket profits by reducing staff and improving the customer experience. In the spring of 2023, a team of six students enrolled in the European Project Semester at Instituto Superior de Engenharia do Porto (ISEP) proposed FESmarket, an innovative smart shopping cart solution. The user-centred design focused on making the shopping interaction and experience more efficient, comfortable, and satisfactory. Form (balancing aesthetics with innovation), function (selecting functionalities based on the most disruptive technologies), market (fulfilling the identified needs), sustainability (minimising the use of resources), and ethics (respecting human values) are the pillars of the project. FESmarket proposes a smart shopping trolley equipped a built-in touch screen for real-time information on products and their location, cameras for product identification, an audio assistance system, a refrigeration chamber, and a mobile app interface for the customer. Finally, a proof-of-concept prototype was assembled and tested to validate the viability of the designed solution.
- Emotional evaluation of open-ended responses with transformer modelsPublication . Pajón-Sanmartín, Alejandro; De Arriba Pérez, Francisco; García Méndez, Silvia; Burguillo, Juan C.; Leal, Fátima; Malheiro, BeneditaThis work applies Natural Language Processing (NLP) techniques, specifically transformer models, for the emotional evaluation of open-ended responses. Today’s powerful advances in transformer architecture, such as ChatGPT, make it possible to capture complex emotional patterns in language. The proposed transformer-based system identifies the emotional features of various texts. The research employs an innovative approach, using prompt engineering and existing context, to enhance the emotional expressiveness of the model. It also investigates spaCy’s capabilities for linguistic analysis and the synergy between transformer models and this technology. The results show a significant improvement in emotional detection compared to traditional methods and tools, highlighting the potential of transformer models in this domain. The method can be implemented in various areas, such as emotional research or mental health monitoring, creating a much richer and complete user profile.