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Publicações

Publicações por CRAS

2022

Simulation, modelling and classification of wiki contributors: Spotting the good, the bad, and the ugly

Autores
Garcia-Mendez, S; Leal, F; Malheiro, B; Burguillo-Rial, JC; Veloso, B; Chis, AE; Gonzalez-Velez, H;

Publicação
SIMULATION MODELLING PRACTICE AND THEORY

Abstract

2022

Smart Contracts for the CloudAnchor Platform

Autores
Vasco, E; Veloso, B; Malheiro, B;

Publicação
Advances in Practical Applications of Agents, Multi-Agent Systems, and Complex Systems Simulation. The PAAMS Collection - 20th International Conference, PAAMS 2022, L'Aquila, Italy, July 13-15, 2022, Proceedings

Abstract

2022

Active Learning Strategies for Sustainable Engineering

Autores
Duarte, AJ; Malheiro, B; Silva, MF; Ferreira, PD; Guedes, PB;

Publicação
Handbook of Research on Improving Engineering Education with the European Project Semester - Advances in Higher Education and Professional Development

Abstract
Engineering 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.

2022

Machine Reading at Scale: A Search Engine for Scientific and Academic Research

Autores
Sousa, N; Oliveira, N; Praca, I;

Publicação
SYSTEMS

Abstract
The Internet, much like our universe, is ever-expanding. Information, in the most varied formats, is continuously added to the point of information overload. Consequently, the ability to navigate this ocean of data is crucial in our day-to-day lives, with familiar tools such as search engines carving a path through this unknown. In the research world, articles on a myriad of topics with distinct complexity levels are published daily, requiring specialized tools to facilitate the access and assessment of the information within. Recent endeavors in artificial intelligence, and in natural language processing in particular, can be seen as potential solutions for breaking information overload and provide enhanced search mechanisms by means of advanced algorithms. As the advent of transformer-based language models contributed to a more comprehensive analysis of both text-encoded intents and true document semantic meaning, there is simultaneously a need for additional computational resources. Information retrieval methods can act as low-complexity, yet reliable, filters to feed heavier algorithms, thus reducing computational requirements substantially. In this work, a new search engine is proposed, addressing machine reading at scale in the context of scientific and academic research. It combines state-of-the-art algorithms for information retrieval and reading comprehension tasks to extract meaningful answers from a corpus of scientific documents. The solution is then tested on two current and relevant topics, cybersecurity and energy, proving that the system is able to perform under distinct knowledge domains while achieving competent performance.

2022

3DupIC: An Underwater Scan Matching Method for Three-Dimensional Sonar Registration

Autores
Ferreira, A; Almeida, J; Martins, A; Matos, A; Silva, E;

Publicação
SENSORS

Abstract
This work presents a six degrees of freedom probabilistic scan matching method for registration of 3D underwater sonar scans. Unlike previous works, where local submaps are built to overcome measurement sparsity, our solution develops scan matching directly from the raw sonar data. Our method, based on the probabilistic Iterative Correspondence (pIC), takes measurement uncertainty into consideration while developing the registration procedure. A new probabilistic sensor model was developed to compute the uncertainty of each scan measurement individually. Initial displacement guesses are obtained from a probabilistic dead reckoning approach, also detailed in this document. Experiments, based on real data, demonstrate superior robustness and accuracy of our method with respect to the popular ICP algorithm. An improved trajectory is obtained by integration of scan matching updates in the localization data fusion algorithm, resulting in a substantial reduction of the original dead reckoning drift.

2022

Robotics and the European Project Semester

Autores
Silva, MF; Duarte, AJ; Ferreira, PD; Guedes, PB;

Publicação
Handbook of Research on Improving Engineering Education with the European Project Semester - Advances in Higher Education and Professional Development

Abstract
Robotics is a multidisciplinary subject that typically involves mechanics, electronics, and computer science concepts. For this reason, robotic projects are particularly well suited to the European Project Semester framework since they allow students with different backgrounds to contribute to the overall team objective in their specific knowledge areas. This chapter briefly presents illustrative examples of robotic projects that have been developed by teams of students participating in the European Project Semester at the School of Engineering of the Polytechnic Institute of Porto. It concludes by presenting and discussing student feedback, namely on the program and the projects developed.

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