2020
Autores
Sulun, S; Tekalp, AM;
Publicação
Signal, Image and Video Processing
Abstract
2020
Autores
Galdi, C; Boyle, J; Chen, LL; Chiesa, V; Debiasi, L; Dugelay, JL; Ferryman, J; Grudzien, A; Kauba, C; Kirchgasser, S; Kowalski, M; Linortner, M; Maik, P; Michon, K; Patino, L; Prommegger, B; Sequeira, AF; Szklarski, L; Uhl, A;
Publicação
IET BIOMETRICS
Abstract
Pervasive and useR fOcused biomeTrics bordEr projeCT (PROTECT) is an EU project funded by the Horizon 2020 research and Innovation Programme. The main aim of PROTECT was to build an advanced biometric-based person identification system that works robustly across a range of border crossing types and that has strong user-centric features. This work presents the case study of the multibiometric verification system developed within PROTECT. The system has been developed to be suitable for different borders such as air, sea, and land borders. The system covers two use cases: the walk-through scenario, in which the traveller is on foot; the drive-through scenario, in which the traveller is in a vehicle. Each deployment includes a different set of biometric traits and this study illustrates how to evaluate such multibiometric system in accordance with international standards and, in particular, how to overcome practical problems that may be encountered when dealing with multibiometric evaluation, such as different score distributions and missing scores.
2020
Autores
Domingues, I; Sequeira, AF; Pinto, C; Rocha,;
Publicação
COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING-IMAGING AND VISUALIZATION
Abstract
2020
Autores
Pereira, T; Tran, N; Gadhoumi, K; Pelter, MM; Do, DH; Lee, RJ; Colorado, R; Meisel, K; Hu, X;
Publicação
NPJ DIGITAL MEDICINE
Abstract
2020
Autores
Pereira, T; Gadhoumi, K; Ma, MH; Liu, XY; Xiao, R; Colorado, RA; Keenan, KJ; Meisel, K; Hu, X;
Publicação
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
Abstract
2020
Autores
Neto, L; Gonçalves, G; Torres, PMB; Dionísio, R;
Publicação
IEEE Conference on Industrial Cyberphysical Systems, ICPS 2020, Tampere, Finland, June 10-12, 2020
Abstract
The fourth industrial revolution promotes Industrial Cyber Physical Systems (ICPS) as the key to achieve smart, efficient, flexible and self-organizing production plants. In a shop floor there are heterogeneous physical and logical assets that form the ICPS. But without proper communication and composition techniques the integration of these assets in ICPS is compromised. Component Based Software Engineering (CBSE) is a discipline of growing relevance for ICPS because integration and composition issues have been extensively researched in the software domain. Under the Reference Architecture for Industry 4.0 (RAMI 4.0), the Industry 4.0 Component Model inherits aspects of CBSE to specify how several industrial plant assets can form an ICPS. The technological aspects for physical assets digitalization and integration have been explored, but the I4.0 Component model lacks proposals and use cases for dealing with industrial software components. In this work we discuss the development of the Smart Component Model as a proposal for integration of software components in ICPS. Furthermore, we focus on how prediction and monitoring applications could be converted in I4.0 Components and integrated in ICPS. To sustain our proposals, we describe a real industrial case study where these developments are being applied. © 2020 IEEE.
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