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Publicações

Publicações por CSE

2021

An Open-Source Gamified Programming Learning Environment (Short Paper)

Autores
Paiva, JC; Queirós, R; Leal, JP; Swacha, J; Miernik, F;

Publicação
Second International Computer Programming Education Conference, ICPEC 2021, May 27-28, 2021, University of Minho, Braga, Portugal.

Abstract
The importance of e-learning tools facilitating the process of learning to program is growing, especially as the pandemic-caused lockdown enforced distance learning in many countries. The key success factor in this process is the provision of an instant and relevant feedback to students. In this paper, we describe a novel open-source programming learning environment featuring automatic assessment of students' solutions and customized gamification. This environment has been developed as a part of the FGPE framework. © José Carlos Paiva, Ricardo Queirós, José Paulo Leal, Jakub Swacha, and Filip Miernik; licensed under Creative Commons License CC-BY 4.0 Second International Computer Programming Education Conference (ICPEC 2021).

2021

Towards a bottom-up approach to inclusive digital identity systems

Autores
Silva, JM; Fonte, V; Sousa, A;

Publicação
ACM International Conference Proceeding Series

Abstract
The path towards the United Nations objective of providing legal identity for all, including free birth registrations, has been facing several challenges. Particularly, the diversity of social realities, limited ICT infrastructures, inadequate legal frameworks, and unstable political engagement have resulted in solutions highly fitted to a specific scenario, thus hard to be replicated in different regions. Paired with noncomprehensive public services of civil registration, these aspects impact the way identity records are created, stored and used by citizens in their daily interactions. To tackle these impairments, this work introduces IDINA, a non-authoritative approach aiming at a community-oriented identification system underpinned by relations of social trust, inclusiveness, and the use of cutting-edge accessible technologies. © 2021 Owner/Author.

2021

A semantics and a logic for Fuzzy Arden Syntax

Autores
Gomes, L; Madeira, A; Barbosa, LS;

Publicação
SOFT COMPUTING

Abstract
Fuzzy programming languages, such as the Fuzzy Arden Syntax (FAS), are used to describe behaviours which evolve in a fuzzy way and thus cannot be characterized neither by a Boolean outcome nor by a probability distribution. This paper introduces a semantics for FAS, focusing on the weighted parallel interpretation of its conditional statement. The proposed construction is based on the notion of a fuzzy multirelation which associates with each state in a program a fuzzy set of weighted possible evolutions. The latter is parametric on a residuated lattice which models the underlying semantic 'truth space'. Finally, a family of dynamic logics, equally parametric on the residuated lattice, is introduced to reason about FAS programs.

2021

Low-cost 3D LIDAR-based scanning system for small objects

Autores
Neto, JAB; Lima, JL; Pereira, AI; Costa, P;

Publicação
2021 22ND IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY (ICIT)

Abstract
Three-dimensional scanning is a task that is highly important for our modern society and this is translated by a wide area of knowledge that contains numerous approaches to this task. As this process is non-trivial, most of the technologies are expensive, with even the low-cost ones being a great investment for the regular user. Therefore, this work presents a low-cost LIDAR-based 3D scanning system that can perform 3D scans of small objects and reconstruct their digital STL models. The system consists of one rotating platform and a scanning arc-shaped structure, which both are actuated by stepper motors.

2021

Hypergraph-of-Entity: A General Model for Entity-Oriented Search

Autores
Devezas, JL; Nunes, S;

Publicação
CoRR

Abstract

2021

Data Analysis of Workplace Accidents - A Case Study

Autores
Sena, IP; Braun, J; Pereira, AI;

Publicação
Communications in Computer and Information Science - Optimization, Learning Algorithms and Applications

Abstract

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