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Séance MB11 - Réseaux de neurones / Neural Network

Jour lundi, le 04 mai 2009
Salle Demers Beaulne
Président Bernard K.S. Cheung

Présentations

15h30-
15h55
Numerical Solutions for Inverse Problems in Dynamic Calibration of Sensors
  Dan Necsulescu, University of Ottawa, Mechanical Engineering, 770 King Edward Ave, Ottawa, On, Canada, K1N 6N5
Sharareh Bayat, University of Ottawa, Mechanical Engineering, Ottawa, ON, Canada

Singular Value Decomposition method can facilitate numerical computation of the generalized inverse for the resulting inverse problem and reduce the effects of random measurement noise in computer based dynamic calibration. Illustrative MATLABTM simulation results illustrate the application of Singular Value Decomposition method for dynamic calibration and permit to investigate the advantages and limitations of the proposed numerical method.


15h55-
16h20
A Ubiquitous Positioning System that Incorporates an Indoor Wi-Fi Positioning Subsystem Using Neural Network
  Bernard K-S. Cheung, GERAD, École Polytechinque de Montréal, Département de mathématiques et génie industriel, Montreal, Quebec, Canada, H3C 3A7
Esmond Mok, Hong Kong Polytechnic University, Department of Land Surveying & Geo-informatics, Hong Kong, China
Linyuan Xia, Sun Yat-Sen University, School of Geographical Science and Planning, Guanzhou, Guangdong, China, 510275

Ubiquitous positioning is the provision of continuous positional information in both indoor and outdoor environments. The fundamental function of Wi-Fi networks is for providing a platform for low-cost communications. We propose a possible integrated positioning system including the modeling and testing of a Neural Network based algorithm that improves the performance of the fingerprinting positioning method.


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