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Delft, Netherlands

Rondeel E.W.M.,Thales Research and Technology | Rondeel E.W.M.,Radboud University Nijmegen | van Steenbergen H.,Leiden University | Holland R.W.,Radboud University Nijmegen | van Knippenberg A.,Radboud University Nijmegen
Frontiers in Human Neuroscience | Year: 2015

The present study investigated resource allocation, as measured by pupil dilation, in tasks measuring updating (2-Back task), inhibition (Stroop task) and switching (Number Switch task). Because each cognitive control component has unique characteristics, differences in patterns of resource allocation were expected. Pupil and behavioral data from 35 participants were analyzed. In the 2-Back task (requiring correct matching of current stimulus identity at trial p with the stimulus two trials back, p -2) we found that better performance (low total of errors made in the task) was positively correlated to the mean pupil dilation during correctly responding to targets. In the Stroop task, pupil dilation on incongruent trials was higher than those on congruent trials. Incongruent vs. congruent trial pupil dilation differences were positively related to reaction time differences between incongruent and congruent trials. Furthermore, on congruent Stroop trials, pupil dilation was negatively related to reaction times, presumably because more effort allocation paid off in terms of faster responses. In addition, pupil dilation on correctly-responded-to congruent trials predicted a weaker Stroop interference effect in terms of errors, probably because pupil dilation on congruent trials were diagnostic of task motivation, resulting in better performance. In the Number Switch task we found higher pupil dilation in switch as compared to non-switch trials. On the Number Switch task, pupil dilation was not related to performance. We also explored error-related pupil dilation in all tasks. The results provide new insights in the diversity of the cognitive control components in terms of resource allocation as a function of individual differences, task difficulty and error processing. ©2015 Rondeel, van Steenbergen, Holland and van Knippenberg.

Gagnon F.,Cegep Sainte Foy | Lafrance F.,Cegep Sainte Foy | Frenette S.,Cegep Sainte Foy | Halle S.,Thales Research and Technology
DCNET 2014 - Proceedings of the 5th International Conference on Data Communication Networking, Part of ICETE 2014 - 11th International Joint Conference on e-Business and Telecommunications | Year: 2014

This paper presents a virtual test-bed for the Android platform named AVP - Android Virtual Playground. The focus of AVP is the automatization of the manipulations required to perform a network experiment, in a very broad sense, involving Android virtual devices. A central objective of AVP is data collection during experiments. Together with describing the different steps of using AVP, from the specification of the experiment to the visualization of the results, the paper presents the current capabilities of AVP. Copyright © 2014 SCITEPRESS - Science and Technology Publications.

Martella C.,VU University Amsterdam | Van Steen M.,VU University Amsterdam | Van Halteren A.,VU University Amsterdam | Conrado C.,Thales Research and Technology | Li J.,Technical University of Delft
IEEE Communications Magazine | Year: 2014

We are only starting to understand how people behave when they are part of a crowd. This article presents a novel approach to the study and management of crowds. The approach comprises a device to be worn by individuals, an infrastructure to collect the information from the devices, a set of algorithms for recognizing crowd dynamics, and a set of feedback strategies to intervene in the crowd. A fundamental element of our approach is to consider crowds in terms of their texture. The crowd texture is represented through the proximity graph, a data structure that captures the spatial closeness relationship between individuals over time. We address its properties and limitations, a system architecture to measure and process it, and a few examples of insights that can be obtained from analyzing it. © 1979-2012 IEEE.

Koudri A.,Thales Research and Technology | Cuccuru A.,CEA | Gerard S.,CEA | Terrier F.,CEA
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2011

Building complex real-time embedded systems requires assembly of heterogeneous components, possibly using various computation and communication models. A great challenge is to be able to design such systems using models where these heterogeneity characteristics are described precisely to assist the next step of the development including implementation or analysis. Although the new MARTE standard provides the core concepts to model real-time components using various communication paradigms, we state in this paper that MARTE extensions have still to be made and we propose to extract common features from several component based approaches in order to support finer compositions of heterogeneous sub-systems. © 2011 Springer-Verlag.

Labreuche C.,Thales Research and Technology | Grabisch M.,Paris-Sorbonne University
8th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2013 - Advances in Intelligent Systems Research | Year: 2013

This paper is devoted to the use of the GAI (Generalized Additive Independence) model in a Multi-Criteria Decision Making context. We first discuss on some new conditions (concerning the sign and monotonicity) to add on the terms appearing in a GAI model. Secondly, we propose some algorithms to propose the learning examples to change or remove, together with an explanation of this, when there are inconsistencies in the learning data. Finally, we propose some importance and interaction indices to interpret a GAI model. © 2013. The authors-Published by Atlantis Press.

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