Academic literature on the topic 'Identification des paramètres de position'
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Journal articles on the topic "Identification des paramètres de position"
Dikwa, K. B., D. B. Maikaje, U. A. Yahaya, and A. B. Suleiman. "Differences in haematological parameters and haemoglobin phenotypes in symptomatic and asymptomatic subjects with Plasmodium falciparum infection in parts of Kaduna metropolis, Nigeria." African Journal of Clinical and Experimental Microbiology 22, no. 3 (July 2, 2021): 407–14. http://dx.doi.org/10.4314/ajcem.v22i3.12.
Full textMouzat, Arnaud, Michel Dabonneville, Daniel Roux, Noé Borges, and Pierre Bertrand. "Position des pieds et paramètres stabilométriques." Staps 67, no. 1 (2005): 59. http://dx.doi.org/10.3917/sta.067.0059.
Full textAtindogbe, Gilbert, Gabin Finangnon Laly, Hospice Afouda Akpo, Arios Adjinannoukon, and Noël Houédougbé Fonton. "Spatial structure and factors determining tree mortality in Beninese forest formations." International Journal of Biological and Chemical Sciences 14, no. 9 (March 25, 2021): 3060–77. http://dx.doi.org/10.4314/ijbcs.v14i9.8.
Full textCheviet, Céline. "Identification de paramètres dans les équations de Saint-Venant." Revue Européenne des Éléments Finis 12, no. 2-3 (January 2003): 157–70. http://dx.doi.org/10.3166/reef.12.155-170.
Full textLagrange, Sébastien, Luc Jaulin, Christian Jutten, and Vincent Vigneron. "Identification en aveugle des paramètres de systèmes non linéaires." Journal Européen des Systèmes Automatisés 40, no. 8 (October 30, 2006): 847–66. http://dx.doi.org/10.3166/jesa.40.847-866.
Full textMinko, Ignace Davy Mendoume, Pierre Bernard, and Michel Fogli. "Identification de paramètres modaux de structures sous excitations dynamiques ambiantes." Revue Européenne de Génie Civil 9, no. 1-2 (January 2005): 43–85. http://dx.doi.org/10.1080/17747120.2005.9692746.
Full textMendoume Minko, Ignace Davy, Pierre Bernards, and Michel Fogli. "Identification de paramètres modaux de structures sous excitations dynamiques ambiantes." Revue européenne de génie civil 9, no. 1-2 (February 28, 2005): 43–85. http://dx.doi.org/10.3166/regc.9.43-85.
Full textThomas, M., M. Massoud, and J. G. Béliveau. "Identification des paramètres d’une structure fortement amortie par excitation multiple déphasée." Transactions of the Canadian Society for Mechanical Engineering 10, no. 2 (June 1986): 61–74. http://dx.doi.org/10.1139/tcsme-1986-0008.
Full textAinseba, B. E., J. P. Kernevez, and R. Luce. "Identification de paramètres dans les problèmes non linéaires à données incomplètes." ESAIM: Mathematical Modelling and Numerical Analysis 28, no. 3 (1994): 313–28. http://dx.doi.org/10.1051/m2an/1994280303131.
Full textDoidy, Franck, and Jean-François Anne. "Apprendre a réaliser une radiographie a l’aide d’un simulateur numérique." J3eA 17 (2018): 0001. http://dx.doi.org/10.1051/j3ea/20180001.
Full textDissertations / Theses on the topic "Identification des paramètres de position"
Afsharnia, Saeed. "Contrôle vectoriel des machines synchrones à aimants permanents : identification des paramètres et minimisation des ondulations de couple." Vandoeuvre-les-Nancy, INPL, 1995. http://docnum.univ-lorraine.fr/public/INPL_T_1995_AFSHARNIA_S.pdf.
Full textCouvertier, Marien. "Identification des paramètres inertiels segmentaires humains." Thesis, Poitiers, 2018. http://www.theses.fr/2018POIT2323/document.
Full textThe aim of this thesis is the identification of body segment inertial parameters (BSIP), i.e. the segment mass, center of mass location and inertia tensor. Those ten parameters per segment are a mandatory input for inverse kinetics methods which are widely used in biomechanics studies. Despite the fact that methods exist to estimate them from anthropometric tables or segment volumes measurements, identification is useful when subjects are atypical (such as disabled people, pregnant women or athletes with muscular hypertrophies). The originality of this work is to use a mixed approach to write the identification problem, combining a vectorial and a matrix formulations of rigid multi-body motion equations, based on previous work did in the RoBioSS axis by Tony Monnet during his PhD. The first one permit to identify segmental masses and center of mass locations. The second one identifies segmental inertia tensors.Inputs of identification algorithm are rotation matrices, their second derivatives, segmental accelerations, and external torsor. Even though this external torsor is directly measured with a force plate, the others inputs are derived from kinematics measurements performed by an optoelectronical device. This device measures kinematics with skin mounted markers tracked by cameras, and the obtained kinematics deviate from the theoretical kinematics of rigid bodies, because of the soft tissues artefacts. In order to deal with these artefacts an optimal rotation matrix computation, based on material transformation, has been performed.Also, noise appears during measurement because of the soft tissues artefacts and the measure device. When double numerical derivatives are applied, this noise becomes greater than the carrier signal. In order to deal with it, five filters, i.e. Butterworth filter, Savitsky-Golay smoothing, sliding average window, spline smoothing and singular spectrum analysis, taken from literature have been implemented and compared. Results show that BSIP identify from vectorial formulation didn’t need any filtering. On the other hand, inertia tensors identification needed smoothed inputs and the best way to smooth them was the sliding average window.Finally, a kinematic chain model of the upper limb has been implemented to rigidify the kinematics. Preliminary results aren’t satisfying but the chain model can be improved before assuming kinematic chain aren’t well suited to enhance BSIP identification. Ultimately, the developed mixed approach has been validated by upper limb inertial parameters identification of eighteen subjects. Identified inertial parameters have also been compared with ones estimated with an anthropometric table. The conclusion is that the identified parameters were very close to the estimated ones, which shows that identification will be reliable to estimate inertial parameters of atypical subjects for whom anthropometric tables aren’t available
Venture, Gentiane. "Identification des paramètres dynamiques d'une voiture." Nantes, 2003. http://www.theses.fr/2003NANT2106.
Full textThe modelling is based on the modified Denavit-Hartenberg geometric description, which is commonly used in robotics. The car is considered as a tree structure multi body system, where the four wheels are the terminal links. This description allows calculating automatically the symbolic expression of the geometric, kinematics and dynamic models by using robotics techniques or even by using a symbolic software package like SYMORO+. Such a model allows us calculating the inverse dynamic model, which is linear with respect to the dynamic parameters. The identificaion is performed with a weighted least squares method. Models are testing in simulation then with a real car. The identification is realized with common tests with a car equipped with different sensors. Most of the dynamic parameters of the chassis can be identified (inertia matrix, centre of mass position and mass), and also the dynamic parameters of the suspensions, anti-roll bar and vertical stiffness of the tires
Visa, Codrut Ion Alin. "Commande non linéaire et observateurs : application à la MRV en grande vitesse." Metz, 2004. http://www.theses.fr/2004METZ026S.
Full textThis work deals with the closed loop control of a switched reluctance motor (SRM) used for high speed machining. The principle of operation of a 6/2 SRM and its model are firstly presented. The design of a performant and robust control law depends on the knowledge of the SRM model parameters. Sensorless position parameters identification has allowed to obtain the electromagnetic characteristic and the mechanical parameters. Hydrodynamic and aerodynamic friction phenomena have been highlighted. The highly nonlinear character of the SRM makes the control difficult. The closed loop control of the SRM running at low speed showed the interest of using the feedback linearizing control technique. However at high speed, several specific problems limit the drive performances in the closed loop. The main aspects of a high speed running SRM have been analysed through the results of the simulations of feedback linearizing voltage and current control law. When the position information is available, an unknown input observer has been developed and experimented. In order to tackle the lack of a performant position sensor at high speed, a nonlinear reduced order observer has been studied. Finally, a real time control system has been realized in order to test the control laws. Real time Linux (RTAI) operating system combined with the data acquisition boards have allowed to obtain 10s sampling frequency behavior of the control system. The graphical interface and data acquisition are executed by distinct processors
Raucent, Benoit. "Identification des paramètres dynamiques des robots manipulateurs." Université catholique de Louvain, 1990. http://edoc.bib.ucl.ac.be:81/ETD-db/collection/available/BelnUcetd-07182006-153745/.
Full textGavrus, Adinel. "Identification automatique des paramètres rhéologiques par analyse inverse." Phd thesis, École Nationale Supérieure des Mines de Paris, 1996. http://pastel.archives-ouvertes.fr/pastel-00733884.
Full textHarb, Nizar. "Identification inverse de paramètres biomécaniques en hyperélasticité anisotrope." Phd thesis, Université de Technologie de Belfort-Montbeliard, 2013. http://tel.archives-ouvertes.fr/tel-00879257.
Full textDouillet, Pascal. "Identification de paramètres océaniques par une méthode inverse." Rennes, INSA, 1985. http://www.theses.fr/1985ISAR0001.
Full textHeleine, Jérémy. "Identification de paramètres électromagnétiques par imagerie micro-ondes." Thesis, Amiens, 2019. http://www.theses.fr/2019AMIE0013.
Full textIn this thesis, we study, from a theoretical and numerical point of view, the microwave imaging. Mathematically, it is about solving an inverse problem: reconstruct the dielectric coefficients (permittivity and conductivity) inside a material or tissue from boundary measurements of the electric field. This problem is modeled by time-harmonic Maxwell's equations for the electric field for which we prove the existence and uniqueness of a solution in the case of mix boundary conditions. We are particularly interested in the reconstruction of perturbations in the refractive index of the medium. The index of the healthy medium is assumed to be known and, with the help of boundary measurements on the studied object, we define the perturbed field and try to find the perturbations. In order to understand their influence on the electric field, we lead a sensitivity analysis of Maxwell's equations. The numerical study of this sensitivity analysis led to results used to develop a reconstruction algorithm of the perturbations supports. We then study the Cauchy problem, to solve a uniqueness result with partial data. We are also interested in the numerical resolution of this problem to answer the question of the boundary data completion: from partial measurements, we deduce the total data. The inverse problem is finally studied as the minimization of a functional to reconstruct the amplitude of the searched inhomogeneities
Riahi, Mohamed Hédi. "Identification de paramètres hydrogéologiques dans un milieu poreux." Thesis, Paris 6, 2016. http://www.theses.fr/2016PA066741/document.
Full textWe identify simultaneously storage and hydraulic transmissivity coefficients in groundwater flow governed by a linear parabolic equation. Both parameters are assumed to be functions piecewise constant in space. The unknowns are the coefficient values as well as the geometry of the zones where these coefficients are constant. This problem is formulated as minimizing a least-square function calculating the difference between measurements and the corresponding quantities computed with the current parameters values. The main point of this work is to construct an adaptative parameterization technique guided by refinement indicators. Using refinement indicators, we build the parameterization iteratively, going from a one zone parametrization to a parametrization with $m$ zones where $m$ is an optimal value to identify. We distinguish the cases where the two parameters have the same parameterization and different parameterizations.\\ To improve the resolution of the inverse problem, we incorporate a posteriori error estimations
Books on the topic "Identification des paramètres de position"
McConkie, George W. Eye position and word identification during reading. Champaign, Ill: University of Illinois at Urbana-Champaign, 1985.
Find full textPassio Christiana: Die alltagsmartyrologische Position des Ersten Petrusbriefes. Stuttgart: KBW, Katholisches Bibelwerk, 2010.
Find full textRamakrishnan, Srinivasan. Experimental identification and control of the tip position of a flexible, single link manipulator. [Berkeley, Calif.]: University of California, Berkeley, 1985.
Find full textPogu, Marc. Modélisation et résolution d'équations de la mécanique des milieux continus: Domaines non bornés et frontières artificielles, domaines non réguliers et identification de paramètres, algorithmes. Paris: Ellipses, 1992.
Find full textBaron-Szabo, Rosemarie C. Scleractinian corals of the Cretaceous: A compilation of Cretaceous forms with descriptions, illustrations, and remarks on their taxonomic position ; with 142 plates and 86 text-figures. Knoxville, Tenn: R.C. Baron-Szabo, 2002.
Find full textBlom, H. A. P. A method and measures to evaluate trackers for air traffic control. Amsterdam: National Aerospace Laboratory, 1986.
Find full textBruun, Christer. Slaves and Freed Slaves. Edited by Christer Bruun and Jonathan Edmondson. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780195336467.013.028.
Full textDonkin, Chris, Babette Rae, Andrew Heathcote, and Scott D. Brown. Why Is Accurately Labeling Simple Magnitudes So Hard? A Past, Present, and Future Look at Simple Perceptual Judgment. Edited by Jerome R. Busemeyer, Zheng Wang, James T. Townsend, and Ami Eidels. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199957996.013.6.
Full textOskarson, Maria. The Never-Ending Story of Class Voting in Sweden. Edited by Jon Pierre. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199665679.013.13.
Full textBeal, Amy C. Copyright Royalties. University of Illinois Press, 2017. http://dx.doi.org/10.5406/illinois/9780252036361.003.0007.
Full textBook chapters on the topic "Identification des paramètres de position"
Xu, Wenjie, Zhonghai Wang, and Seyed A. Reza Zekavat. "An Introduction to NLOS Identification and Localization." In Handbook of Position Location, 523–55. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9781118104750.ch16.
Full textFukushima, Takuya, Tomoharu Nakashima, and Hidehisa Akiyama. "Online Opponent Formation Identification Based on Position Information." In RoboCup 2017: Robot World Cup XXI, 241–51. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00308-1_20.
Full textWang, Hao, Guangjie Han, Chunsheng Zhu, and Sammy Chan. "PTSLP: Position Tracking Based Source Location Privacy for Wireless Sensor Networks." In Radio Frequency Identification and IoT Security, 17–29. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-62024-4_2.
Full textWu, Yong, Sizhe Wan, Di Wu, Chao Wang, Changan Yuan, Xiao Qin, Hongjie Wu, and Xingming Zhao. "Position Attention-Guided Learning for Infrared-Visible Person Re-identification." In Intelligent Computing Theories and Application, 387–97. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60799-9_34.
Full textNiblock, James H., Jian-Xun Peng, Karen R. McMenemy, and George W. Irwin. "Automated Object Identification and Position Estimation for Airport Lighting Quality Assessment." In Communications in Computer and Information Science, 262–75. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10226-4_21.
Full textThompson, Paul. "Aspects of identification and position in intertextual reference in PhD theses." In Studies in Corpus Linguistics, 31–50. Amsterdam: John Benjamins Publishing Company, 2005. http://dx.doi.org/10.1075/scl.19.04tho.
Full textRustin, Margaret, and Michael Rustin. "Splitting, the paranoid-schizoid position and the concept of projective identification." In Reading Klein, 77–86. New York : Routledge, 2017. | Series: New library of psychoanalysis “Teaching” series ; 9: Routledge, 2016. http://dx.doi.org/10.4324/9781315544618-6.
Full textTenginakai, Pruthvi, V. Keerthana, Sowmini Srinath, Fauzan Syed, and P. Parimala. "Meanderline Pattern Wearable Textile Antenna for Position Identification in Military Applications." In Intelligent Data Communication Technologies and Internet of Things, 847–60. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-9509-7_68.
Full textAdarsh, S. R., and S. Selvakumar. "Model Identification and Position Control of Quanser Qube Servo DC Motor." In Lecture Notes in Electrical Engineering, 1321–35. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-9019-1_107.
Full textZhang, Lunzhao, Yanling Xu, Shaofeng Du, Wenjun Zhao, Zhen Hou, and Shanben Chen. "Point Cloud Based Three-Dimensional Reconstruction and Identification of Initial Welding Position." In Transactions on Intelligent Welding Manufacturing, 61–77. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8330-3_4.
Full textConference papers on the topic "Identification des paramètres de position"
BASTIDAS-ARTEAGA, Emilio, Manh Tuan NGUYEN, Franck SCHOEFS, and Stéphanie BONNET. "Identification bayésienne des paramètres de modélisation de la pénétration des ions chlorures dans le béton." In Conférence Méditerranéenne Côtière et Maritime - Coastal and Maritime Mediterranean Conference. Editions Paralia, 2011. http://dx.doi.org/10.5150/cmcm.2011.003.
Full textEsmaeilani, L., J. Ghaisari, M. Ahmadian, and R. Esmaeilani. "Control valve position response identification by Matlab." In 2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). IEEE, 2015. http://dx.doi.org/10.1109/i2mtc.2015.7151460.
Full textDeka, Manash Jyoti, Jetendra Joshi, Nishchay Sinha, Aman Tyagi, Apoorv Kushal, and Avijit Jain. "Indoor and outdoor position identification using RFID." In 2016 International Conference on Recent Advances and Innovations in Engineering (ICRAIE). IEEE, 2016. http://dx.doi.org/10.1109/icraie.2016.7939587.
Full textHuang, Jie, Chunlei Zhao, Yoshitaka Ohtake, Huakang Li, and Qunfei Zhao. "Robot Position Identification Using Specially Designed Landmarks." In 2006 IEEE Instrumentation and Measurement Technology. IEEE, 2006. http://dx.doi.org/10.1109/imtc.2006.328463.
Full textJie Huang. "Robot Position Identification Using Specially Designed Landmarks." In 2006 IEEE Instrumentation and Measurement Technology. IEEE, 2006. http://dx.doi.org/10.1109/imtc.2006.236691.
Full textHuakang Li, Satoshi Ishikawa, Qunfei Zhao, Michiko Ebana, Hiroyuki Yamamoto, and Jie Huang. "Robot navigation and sound based position identification." In 2007 IEEE International Conference on Systems, Man and Cybernetics. IEEE, 2007. http://dx.doi.org/10.1109/icsmc.2007.4413757.
Full textHirata, K., M. Nakazawa, and N. Kida. "3D Position Measurement System for Moving Objects based on Active Vision." In Modelling, Identification, and Control. Calgary,AB,Canada: ACTAPRESS, 2010. http://dx.doi.org/10.2316/p.2010.702-048.
Full textLi, Huakang, Long Zheng, Jie Huang, Chunlei Zhao, and Qunfei Zhao. "Mobile Robot Position Identification with Specially Designed Landmarks." In 2009 Fourth International Conference on Frontier of Computer Science and Technology (FCST). IEEE, 2009. http://dx.doi.org/10.1109/fcst.2009.62.
Full textRajamanickam, Ramalinggam. "Identification Parade: Current Position And Issues In Malaysia." In IEBMC 2017 – 8th International Economics and Business Management Conference. Cognitive-Crcs, 2018. http://dx.doi.org/10.15405/epsbs.2018.07.02.94.
Full textJie Huang. "Robot Position Identification by Actively Localizing Sound Beacons." In 2006 IEEE Instrumentation and Measurement Technology. IEEE, 2006. http://dx.doi.org/10.1109/imtc.2006.235975.
Full textReports on the topic "Identification des paramètres de position"
Kress, Martin A., and Samuel J. Weintraub. AIS Data Case Study : Selecting Design Vessels for New Jersey Back Bays Storm Surge Barriers Study. Engineer Research and Development Center (U.S.), February 2021. http://dx.doi.org/10.21079/11681/39779.
Full textDiJoseph, Patricia, Brian Tetreault, and Marin Kress. AIS data case Study : identifying AIS coverage gaps on the Ohio River in CY2018. Engineer Research and Development Center (U.S.), June 2021. http://dx.doi.org/10.21079/11681/40886.
Full textDownard, Alicia, Stephen Semmens, and Bryant Robbins. Automated characterization of ridge-swale patterns along the Mississippi River. Engineer Research and Development Center (U.S.), April 2021. http://dx.doi.org/10.21079/11681/40439.
Full textRoles of Speech-Language Pathologists in the Identification, Diagnosis, and Treatment of Individuals With Cognitive-Communication Disorders: Position Statement. Rockville, MD: American Speech-Language-Hearing Association, 2005. http://dx.doi.org/10.1044/policy.ps2005-00110.
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