ISEP – LSA – Comunicações em eventos científicos
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- 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.
- Citizen Engagement in Urban Planning – An EPS@ISEP 2022 ProjectPublication . Cardani, Carla G.; Couzyn, Carmen; Degouilles, Eliott; Benner, Jan M.; Engst, Julia A.; Duarte, Abel J.; Malheiro, Benedita; Ribeiro, Cristina; Justo, Jorge; Silva, Manuel F.; Ferreira, Paulo; Guedes, PedroInvolving people in urban planning offers many benefits, but current methods are failing to get a large number of citizens to participate. People have a high participation barrier when it comes to public participation in urban planning – as it requires a lot of time and initiative, only a small non-diverse group of citizens take part in governmental initiatives. In this paper, a product is developed to make it as easy as possible for citizens to get involved in construction projects in their community at an early stage. As a solution, a public screen is proposed, which offers citizens the opportunity to receive information, view 3D models, vote and comment at the site of the construction project via smartphone – the solution was named Parcitypate. To explain the functions of the product, a prototype was created and tested. In addition, concepts for branding, marketing, ethics, and sustainability are presented.
- Smart Stress Relief – An EPS@ISEP 2022 ProjectPublication . Cifuentes, Gema Romera; Camps, Jacobine; Nascimento, Júlia Lopes; Bode, Julian Alexander; Duarte, Abel J.; Malheiro, Benedita; Ribeiro, Cristina; Justo, Jorge; Silva, Manuel F.; Ferreira, Paulo; Guedes, PedroMild is a smart stress relief solution created by DSTRS, an European Project Semester student team enrolled at the Instituto Superior de Engenharia do Porto in the spring of 2022. This paper details the research performed, concerning ethics, marketing, sustainability and state-of-the-art, the ideas, concept and design pursued, and the prototype assembled and tested by DSTRS. The designed kit comprises a bracelet, pair of earphones with case, and a mobile app. The bracelet reads the user heart beat and temperature to automatically detect early stress signs. The case and mobile app command the earphones to play sounds based on the user readings or on user demand. Moreover, the case includes a tactile distractor, a scent diffuser and vibrates. This innovative multi-sensory output, combining auditory, olfactory, tactile and vestibular stimulus, intends to sooth the user.
- Explainable Classification of Wiki StreamsPublication . García-Méndez, Silvia; Leal, Fátima; de Arriba-Pérez, Francisco; Malheiro, Benedita; Burguillo-Rial, Juan CarlosWeb 2.0 platforms, like wikis and social networks, rely on crowdsourced data and, as such, are prone to data manipulation by ill-intended contributors. This research proposes the transparent identification of wiki manipulators through the classification of contributors as benevolent or malevolent humans or bots, together with the explanation of the attributed class labels. The system comprises: (i) stream-based data pre-processing; (ii) incremental profiling; and (iii) online classification, evaluation and explanation. Particularly, the system profiles contributors and contributions by combining features directly collected with content- and side-based engineered features. The experimental results obtained with a real data set collected from Wikivoyage – a popular travel wiki – attained a 98.52 % classification accuracy and 91.34 % macro F-measure. In the end, this work seeks to address data reliability to prevent information detrimental and manipulation.
- Balancing Plug-In for Stream-Based ClassificationPublication . de Arriba-Pérez, Francisco; García-Méndez, Silvia; Leal, Fátima; Malheiro, Benedita; Burguillo-Rial, Juan CarlosThe latest technological advances drive the emergence of countless real-time data streams fed by users, sensors, and devices. These data sources can be mined with the help of predictive and classification techniques to support decision-making in fields like e-commerce, industry or health. In particular, stream-based classification is widely used to categorise incoming samples on the fly. However, the distribution of samples per class is often imbalanced, affecting the performance and fairness of machine learning models. To overcome this drawback, this paper proposes Bplug, a balancing plug-in for stream-based classification, to minimise the bias introduced by data imbalance. First, the plug-in determines the class imbalance degree and then synthesises data statistically through non-parametric kernel density estimation. The experiments, performed with real data from Wikivoyage and Metro of Porto, show that Bplug maintains inter-feature correlation and improves classification accuracy. Moreover, it works both online and offline.
- Visual-Inertial SLAM for Precise 3D Mapping of Underground EnvironmentsPublication . Ferreira, António Bernardo; Almeida, Jose Miguel; Silva, EduardoThe underground scenarios are one of the most challenging environments for accurate and precise 3D mapping where hostile conditions like absence of Global Positioning Systems, extreme lighting variations and geometrically smooth surfaces may be expected. So far, the state-of-the-art methods in underground modelling remain restricted to environments in which pronounced geometric features are abundant. This limitation is a consequence of the scan matching algorithms used to solve the localization and registration problems. This paper contributes to the expansion of the modelling capabilities to structures characterized by uniform geometry and smooth surfaces, as is the case of road and train tunnels. To achieve that, we combine some state of the art techniques from mobile robotics, and propose a method for 6DOF platform positioning in such scenarios, that is latter used for the environment modelling. A visual monocular Simultaneous Localization and Mapping (MonoSLAM) approach based on the Extended Kalman Filter (EKF), complemented by the introduction of inertial measurements in the prediction step, allows our system to localize himself over long distances, using exclusively sensors carried on board a mobile platform. By feeding the Extended Kalman Filter with inertial data we were able to overcome the major problem related with MonoSLAM implementations, known as scale factor ambiguity. Despite extreme lighting variations, reliable visual features were extracted through the SIFT algorithm, and inserted directly in the EKF mechanism according to the Inverse Depth Parametrization. Through the 1-Point RANSAC (Random Sample Consensus) wrong frame-to-frame feature matches were rejected. The developed method was tested based on a dataset acquired inside a road tunnel and the navigation results compared with a ground truth obtained by post-processing a high grade Inertial Navigation System and L1/L2 RTK-GPS outside the tunnel. Results from the localization strategy and the modelling process are presented.