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Andre R., Pinnock M. & Rodger A.S. (1999). On SuperDARN autocorrelation function observed in the ionospheric cusp. Geophysical research letters, 26(22), 3353–3356.
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Frey F.A., Weis D., Yang H.J., Nicolaysen K., Leyrit H. & Giret A. (2000). Temporal geochemical trends in Kerguelen Archipelago basalts: evidence for decreasing magma supply from the Kerguelen Plume. Chem. Geol., 164, 61–80.
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Buguet A., Queyroy A. & Bourdon L. (1998). Le sommeil en environnement polaire..
Abstract: Rapport d'activité année 97 et campagne d'été 97-98. IFRTP, Plouzané
Programme: 252
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Breton F., Cheylan M., Lonsdale M., Maillet J., Pascal M. & Vernon P. (1997). Les invasions biologiques. Le courrier de l'environnement de l'inra, 32.
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Rouland D., Condis C., Parmentier C. & Souriau A. (1992). Previously undetected earthquakes in the Southern Hemisphere located using long-period geoscope data. Bulletin of the seismological society of america, 82, 2448–2463.
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Dominé F., Cabanes A. & Legagneux L. (2002). Structure, microphysics, and surface area of the Arctic snowpack near Alert during the ALERT 2000 campaign. Atmospheric environment, 36, 2753–2765.
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Fourati H., Manamanni N., Afilal L., & Y. Handrich . (2009). Rigid Body Motions Estimation Using Inertial Sensors: Bio-Logging Application. Actes 7th IFAC Symposium on Modelling and Control in Biomedical Systems (MCBMS’09), Aalborg. Danemark, 12-14 août 2009.
Abstract: Bio-logging is a new interdisciplinary research area at the intersection of animal behavior and
bioengineering. It can involve several applications such as determination of specific parameters
measurements (attitude, acceleration, and position) via a new generation of adapted-animal mechatronic systems (a.d.a.m.s.). The aim of this paper concerns the animal motion estimation problem using lowcost Micro-Electro-Mechanical-System (M.E.M.S.) sensors fusion. Generally, accurate attitude measurements are obtained using low-pass sensors such as accelerometers and magnetometers, but at quasi-static motion. In this work a state estimation algorithm is proposed, it is based on a combination of an observer and an iterated Least Squares Algorithm (I.L.S.A.). This approach fuses data from 3-axis accelerometer, 3-axis magnetometer, and 3-axis gyroscope to provide the best attitude estimation whenthe rigid body is both in static and dynamic motion. A correction stage is introduced to take into account the linear acceleration effect undergone by the rigid body. Finally, some simulation and preliminary experimental results are provided to show the efficiency of the proposed algorithm
Programme: 394
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Bergerat F. & Angelier J. (1997). The South Iceland Seismic zone – Part I: Neotectonic evidence from field studies of recent faulting..
Abstract: Abstr., Workshop Prenlab – 1, 24-25 octobre Paris
Programme: 316
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Charrier I., Jouventin P., Mathevon N. & Aubin T. (2001). Individual identify coding depends on call type in the south polar skua Catharacta maccormicki. Polar Biol., 24, 378–382.
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Larose, C.; Cecillon, S.; Prestat, E.; Berger, S.; Lyon, D.; Dommergue, A.; Ferrari, C.; Schneider, D.; Vogel, T. M.,. (2010). Assessing interactions between snow chemistry and microbial populations in the snowpack: a metagenomic approach..
Abstract: International Polar Year Oslo Science Conference, Oslo (Norway), 2010.
Programme: 399
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