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Hagenmeyer V.,BASF | Delaleau E.,Brest National School of Engineering | Delaleau E.,European University of Brittany
IEEE Transactions on Automatic Control | Year: 2010

A methodology to analyze robustness with respect to exogenous perturbations for exact feedforward linearization based on differential flatness is presented. The analysis takes into consideration the tracking error equation and makes thereafter use of a stability result by Kelemen coupled with results issued from interval analysis. This turns exact feedforward linearization based on differential flatness into a general control methodology for flat systems. © 2010 IEEE. Source


Zoiros K.E.,Democritus University of Thrace | Morel P.,Brest National School of Engineering
AIP Advances | Year: 2014

We employ a birefringent fiber loop (BFL) for enhancing the performance of a semiconductor optical amplifier (SOA) which is directly modulated. By properly exploiting the BFL comb-like spectral response, we show that the SOA can be directly modulated at a data rate which is more than five times faster than that enabled by the SOA electrical bandwidth. The experimental results, which include chirp measurements, demonstrate the significant improvements achieved in the performance of the directly modulated SOA with the help of the BFL. © 2014 Author(s). Source


Ganier F.,University of Western Brittany | Hoareau C.,University of Western Brittany | Tisseau J.,Brest National School of Engineering
Ergonomics | Year: 2014

Virtual reality opens new opportunities for operator training in complex tasks. It lowers costs and has fewer constraints than traditional training. The ultimate goal of virtual training is to transfer knowledge gained in a virtual environment to an actual real-world setting. This study tested whether a maintenance procedure could be learnt equally well by virtual-environment and conventional training. Forty-two adults were divided into three equally sized groups: virtual training (GVT® [generic virtual training]), conventional training (using a real tank suspension and preparation station) and control (no training). Participants then performed the procedure individually in the real environment. Both training types (conventional and virtual) produced similar levels of performance when the procedure was carried out in real conditions. Performance level for the two trained groups was better in terms of success and time taken to complete the task, time spent consulting job instructions and number of times the instructor provided guidance. Practitioner Summary: A key issue for virtual environments for training (VETs) is the transfer of skills to real situations. An experiment investigated whether skills acquired in a VET could be applied in a real situation. Results suggest that a procedure can be successfully transferred from the virtual to the real. © 2014 © 2014 Taylor & Francis. Source


Polceanu M.,Brest National School of Engineering
IEEE Conference on Computatonal Intelligence and Games, CIG | Year: 2013

Believability of automated characters in virtual worlds has posed a challenge for many years. In this paper, the author discusses a novel approach of using human-inspired mirroring behavior in MirrorBot, an Unreal Tournament 2004 game bot which crossed the humanness barrier and won the 2K BotPrize 2012 competition with the score of 52.2%, a record in the five year history of this contest. A comparison with past contest entries is presented and the relevance of the mirroring behavior as a humanness improvement factor is argued. The modules that compose MirrorBot's architecture are presented along with a discussion of the advantages of this approach and proposed solutions for its drawbacks. The contribution continues with a discussion of the bot's results in humanness and judging accuracy. © 2013 IEEE. Source


Nasreddine K.,Brest National School of Engineering | Benzinou A.,Brest National School of Engineering | Fablet R.,Telecom Bretagne
Pattern Recognition Letters | Year: 2010

In this paper we define a multi-scale distance between shapes based on geodesics in the shape space. The proposed distance, robust to outliers, uses shape matching to compare shapes locally. The multi-scale analysis is introduced in order to address local and global variabilities. The resulting similarity measure is invariant to translation, rotation and scaling independently of constraints or landmarks, but constraints can be added to the approach formulation when needed. An evaluation of the proposed approach is reported for shape classification and shape retrieval on the part B of the MPEG-7 shape database. The proposed approach is shown to significantly outperform previous works and reaches 89.05% of retrieval accuracy and 98.86% of correct classification rate. © 2009 Elsevier B.V. All rights reserved. Source

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