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Publicações

2019

Knowledge Representation of Crime-Related Events: a Preliminary Approach

Autores
Carnaz, G; Nogueira, VB; Antunes, M;

Publicação
8th Symposium on Languages, Applications and Technologies, SLATE 2019, June 27-28, 2019, Coimbra, Portugal.

Abstract
The crime is spread in every daily newspaper, and particularly on criminal investigation reports produced by several Police departments, creating an amount of data to be processed by Humans. Other research studies related to relation extraction (a branch of information retrieval) in Portuguese arisen along the years, but with few extracted relations and several computer methods approaches, that could be improved by recent features, to achieve better performance results. This paper aims to present the ongoing work related to SEM (Simple Event Model) ontology population with instances retrieved from crime-related documents, supported by an SVO (Subject, Verb, Object) algorithm using hand-crafted rules to extract events, achieving a performance measure of 0.86 (F-Measure). © Gonçalo Carnaz, Vitor Beires Nogueira, and Mário Antunes.

2019

Determinants of the Economic Performance of Portuguese Family Firms: Is Innovation Relevant?

Autores
Teixeira, AAC; Correia, SF;

Publicação
Entrepreneurship and Family Business Vitality - Studies on Entrepreneurship, Structural Change and Industrial Dynamics

Abstract

2019

Computer Aided Detection of Deep Inferior Epigastric Perforators in Computed Tomography Angiography scans

Autores
Araújo, RJ; Garrido, V; Baraças, CA; Vasconcelos, MA; Mavioso, C; Anacleto, JC; Cardoso, MJ; Oliveira, HP;

Publicação
CoRR

Abstract

2019

Privacy and Data Protection Concerns Regarding the Use of Blockchains in Smart Cities

Autores
Ramos, LFM; Silva, JMC;

Publicação
ICEGOV 2019: 12th International Conference on Theory and Practice of Electronic Governance, Melbourne, VIC, Australia, 3-5 April, 2019

Abstract

2019

Performance Evaluation of European Power Systems

Autores
Couto, M; Camanho, A;

Publicação
Springer Proceedings in Mathematics and Statistics

Abstract
Electric power systems are facing significant challenges regarding their organization and structure. Energy infrastructures are crucial to ensure a transition to low-carbon societies, contributing to sustainable development. This paper uses Data Envelopment Analysis to compare the performance of the power systems in 16 European countries using data available to the public. Three perspectives were considered, focusing on technical aspects affecting quality of service, network costs and environmental impact. It is proposed a new formulation of the DEA model that estimates a composite indicator (CI) aggregating individual indicators which should be minimized. The benchmarking results can give insights to electric operators, regulators and decision-makers on the strengths and weakness of national power systems and disclose the potential for performance improvements. Based on the outcomes from the CI model, Austria, Croatia, Denmark, Germany, Greece, Ireland, Italy and Netherlands are identified as the benchmarks for the power systems in the Europe. The discussion of the results is intended to raise public awareness on the performance of the European power systems and contribute to the definition of public policies for the promotion of continuous improvement. © 2019, Springer Nature Switzerland AG.

2019

Education with Robots Inspired in Biological Systems

Autores
Ferreira, NMF; Moita, F; Santos, VDN; Ferreira, J; Santos, JC; Santos, F; Silva, M;

Publicação
ROBOTICS IN EDUCATION, RIE 2018

Abstract
This paper presents one methodology for teaching engineering students, which relies on open platform requiring basic knowledge of robotics, like mechanics, control or energy management. Walking robots are well known for being able to walk over rough terrain and adapt to various environments. Hexapod robots are chosen because of their better stability and higher number of different gaits. However, having to hold the whole weight of the body and a large number of actuators makes all walking robots less energetically efficient than wheeled robots. This platform endows students with an intuitive learning for current technologies, development and testing of new algorithms in the area of mobile robotics and also in generating good team-building. © 2019, Springer Nature Switzerland AG.

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