National Test Pilot School

Les salles des Croisades sont l’un des espaces du musée de Louis-Philippe les mieux identifiés par les visiteurs du xixe siècle. L’historiographie a particulièrement analysé ces salles sous le prisme de la muséologie, tant du point de vue de l’histoire du chantier que de ses implications politiques. En déplaçant la focale sur les peintures elles-mêmes, cet article cherche à en définir les auteurs, les origines ainsi que la rhétorique qui les articule. À travers la prosopographie des acteurs impliqués, le dépouillement de la correspondance des artistes avec l’administration des musées royaux et les documents de travail de cette dernière, se devinent les mécanismes créatifs à l’origine du corpus peint des salles des Croisades. L’étude de la culture visuelle des artistes fait ensuite émerger la présence d’imaginaires médiévalistes et orientalistes de natures différentes. L’analyse iconologique démontre en effet que ces deux exotismes n’ont pas la même place dans le discours mis en images dans les peintures des croisades : le premier présente un miroir dans lequel le visiteur versaillais entrevoit son ancêtre croisé tandis que le second met en scène une altérité à laquelle il se compare pour mieux s’y opposer.

For open source software such as Firefox, Eclipse, Subversion,. . . they usually have a system for bug management that sent by users. These bug reports help the system identify various software bugs which makes software maintenance better. However, a situation occurs that there are many error reports sent to the processing repository that these bug reports were previously reported by different users, this is called duplicate bug reports. In this paper, we introduce a multi-feature model combined with weighted improvements from CFC (ClassFeature-Centroid) to detect duplicate bug reportsautomatically. We have experimented on three projects of Mozilla, Eclipse and OpenOffice. The results show that our method can improve 8-12% better as compared to the compared methods.

Helicopter performance relies heavily on the available output power of the engine(s) installed. A simplistic single-variable analysis approach is often used within the flight-testing community to reduce flight-test data in order to predict the available output power under various atmospheric conditions. This simplistic approach often results in unrealistic predictions. This paper proposes a novel method for analyzing flight-test data of a helicopter gas turbine engine. The so-called “Multivariable Polynomial Optimization under Constraints” method is capable of providing an improved estimation of the engine maximum available power. The Multivariable Polynomial Optimization under Constraints method relies on optimization of a multivariable polynomial model subjected to equalities and inequalities constraints. The Karush–Khun–Tucker optimization method is used with the engine operating limitations serving as inequalities constraints. The proposed Multivariable Polynomial Optimization under Constraints method is applied to a set of flight-test data of a Rolls Royce/Allison MTU250-C20 gas turbine, installed on an MBB BO-105 M helicopter. It is shown that the Multivariable Polynomial Optimization under Constraints method can predict the engine output power under a wider range of atmospheric conditions and that the standard deviation of the output power estimation error is reduced from 13 hp in the single-variable method to only 4.3 hp using the Multivariable Polynomial Optimization under Constraints method (over 300% improvement).