2022
Authors
Caruso, BC; Stenstkie, C; van Duivenboden, D; Starosta, J; Hoernschemeyer, J; Peytard, S; Malheiro, B; Ribeiro, C; Justo, J; Silva, MF; Ferreira, P; Guedes, P;
Publication
MOBILITY FOR SMART CITIES AND REGIONAL DEVELOPMENT - CHALLENGES FOR HIGHER EDUCATION, VOL 1
Abstract
This paper reports the development of WalkSafe, a Smart Pedestrian Crossing solution, by a multinational and multidisciplinary team of students during the spring semester of 2020. The team was enrolled in the European Project Semester (EPS), a project-based capstone programme offered by Instituto Superior de Engenharia do Porto (ISEP). Motivated by the idea to reduce the number of pedestrians hit by cars at road crossings, and associated injuries and deaths, the team surveyed pedestrian behaviour to conclude that people often ignore pedestrian crossings. Thus, this project intended to motivate people to use pedestrian crossings, increasing the safety of both pedestrians and drivers. The proposed solution can be implemented on any pedestrian crossing and involves up to three components: (i) a box to be fixed on each side of pedestrian crossings with a radio-frequency identification reader as well as Bluetooth and Wi-Fi interfaces; (ii) a smartphone mobile app; and (iii) a personal bracelet for children and elderly, with a passive radio-frequency identification tag.
2022
Authors
Duarte, AJ; Malheiro, B; Silva, MF; Ferreira, PD; Guedes, PB;
Publication
Handbook of Research on Improving Engineering Education with the European Project Semester - Advances in Higher Education and Professional Development
Abstract
2022
Authors
Nylund, R; Malheiro, B;
Publication
Handbook of Research on Improving Engineering Education with the European Project Semester - Advances in Higher Education and Professional Development
Abstract
2022
Authors
Budzinska, G; Hansen, J; Malheiro, B; Fuentes-Durá, P;
Publication
Handbook of Research on Improving Engineering Education with the European Project Semester - Advances in Higher Education and Professional Development
Abstract
2022
Authors
Malheiro, B; Fuentes-Durá, P;
Publication
Advances in Higher Education and Professional Development
Abstract
2022
Authors
Veloso, B; Leal, F; Malheiro, B;
Publication
Lecture Notes in Networks and Systems
Abstract
Human interaction with intelligent systems, services, and devices generates large volumes of user-related data. This multi-source information can be used to build richer user profiles and improve personalization. Our goal is to combine multi-source data to create user profiles by assigning dynamic individual weights. This paper describes a multi-source user profiling methodology and illustrates its application with a film recommendation system. The contemplated data sources include (i) personal history, (ii) explicit preferences (ratings), and (iii) social activities (likes, comments, or shares). The MovieLens dataset was selected and adapted to assess our approach by comparing the standard and the proposed methodologies. In the standard approach, we calculate the best global weights to apply to the different profile sources and generate all user profiles accordingly. In the proposed approach, we determine, for each user, individual weights for the different profile sources. The approach proved to be an efficient solution to a complex problem by continuously updating the individual data source weights and improving the accuracy of the generated personalised multimedia recommendations. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
The access to the final selection minute is only available to applicants.
Please check the confirmation e-mail of your application to obtain the access code.