2017
Authors
Costa, LA; Vitorino, MA; Correa, MBR;
Publication
2017 IEEE Applied Power Electronics Conference and Exposition (APEC)
Abstract
2017
Authors
Mendes, R; Vilela, JP;
Publication
IEEE Access
Abstract
The collection and analysis of data are continuously growing due to the pervasiveness of computing devices. The analysis of such information is fostering businesses and contributing beneficially to the society in many different fields. However, this storage and flow of possibly sensitive data poses serious privacy concerns. Methods that allow the knowledge extraction from data, while preserving privacy, are known as privacy-preserving data mining (PPDM) techniques. This paper surveys the most relevant PPDM techniques from the literature and the metrics used to evaluate such techniques and presents typical applications of PPDM methods in relevant fields. Furthermore, the current challenges and open issues in PPDM are discussed. © 2017 IEEE.
2017
Authors
Au-Yong-Oliveira, M; Reis de Sousa, RJ; Gonçalves, R;
Publication
Journal on Advances in Theoretical and Applied Informatics
Abstract
2017
Authors
Barbosa, L; Monteiro, P; Pinto, M; Coelho, H; Melo, M; Bessa, M;
Publication
2017 24 ENCONTRO PORTUGUES DE COMPUTACAO GRAFICA E INTERACAO (EPCGI)
Abstract
The use of virtual reality in training and simulation as well as the use of haptic feedback are already used in many areas such as medicine, aviation, and training in controlled environments, such as training firefighters. The purpose of this study was the creation of a virtual multisensory environment for the simulation of a training task used in the training of firemen, with the added purpose of studying the impact of the use of haptic feedback on the feeling of presence, satisfaction and performance in the task. For this study a virtual reality experiment was designed to simulate an urban fire environment, where the participants had to train one of the methods used by firefighters in these situations, and the temperature was selected for the haptic feedback. The analysis to the obtained data show that, after doing the experiment, the performance with and without haptic feedback was approximately the same and the participants showed a low error rate. Regarding the sense of presence and satisfaction, the results demonstrate that there was an improvement in the involvement and experienced realism, as well as a low cybersickness value.
2017
Authors
Rocha, A; Correia, AMR; Adeli, H; Reis, LP; Costanzo, S;
Publication
WorldCIST (2)
Abstract
2017
Authors
Hennicker, R; Madeira, A;
Publication
Theoretical Aspects of Computing - ICTAC 2017 - 14th International Colloquium, Hanoi, Vietnam, October 23-27, 2017, Proceedings
Abstract
Dynamic logic with binders D? has been introduced as an institution for the development of reactive systems based on model class semantics. The satisfaction relation of this logic was, however, not abstract enough to enjoy the modal invariance property (bisimilar models should satisfy the same sentences). We recently overcame this problem by proposing an observational satisfaction relation where the equality on states is interpreted by bisimilarity of states. This entailed, however, a price to pay - the satisfaction condition required for institutions was lost. This paper works on this limitation by establishing a behavioural semantics for D? parametric to behavioural structures - families of equivalence relations on the states of each model. Such structures are taken in consideration in the signature category and, in particular, for the definition of signature morphisms. We show that with these changes we get again an institution with a behavioural model class semantics. The framework is instantiated with specific behavioural structures, resulting in the novel Institution of Crucial Actions. © 2017, Springer International Publishing AG.
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