ABCM Symposium Series in Mechatronics

Vol. 2

Section XII - EMERGING TECHNOLOGIES AND AI APPLICATIONS

XII.01:		MOTION STRUCTURE ANALYSIS AND ERROR QUANTIFICATION - AN EPIPOLAR GEOMETRY BASED APPROACH - Adriana Karlstroem, Fabio Kawaoka Takase		pp.699-706
XII.02:		APPLYING THE SIMULATED ANNEALING TO THE PROBLEM OF POSITIONING ROTATIONAL NON CONVEX POLYGONS Martins, T. C, Tsuzuki, M. S. G.		pp.707-714
XII.03:		LEARNING BAYESIAN NETWORKS FOR FAULT DETECTION: APPLICATION TO THE 747 LONGITUDINAL MOTION Jackson Paul Matsuura, Takashi Yoneyama, Roberto Kawakami Harrop Galvão		pp.715-722
XII.04:		FORMAL COMPREHENSIVENESS AND UNIFORMITY AND SEMANTIC INTRA AND INTERMODEL CONSISTENCY IN THE REPRESENTATION OF DISCRETE EVENT DYNAMIC SYSTEM MODELS Wilson M. Arata, Paulo E. Miyagi		pp.723-730
XII.05:		MIXED REALIY WITH HYPER-BONDS FOR MECHATRONIC DESIGN Heinz-H. Erbe, F. Wilhelm Bruns		pp.731-738
XII.06:		TREND OF PRECISION POSITIONING TECHNOLOGY Kaiji Sato		pp.739-750
XII.07:		LEARNING OF B-SPLINE NEURAL NETWORK USING NEW PARTICLE SWARM APPROACHES Leandro dos Santos Coelho, Renato Krohling		pp.751-756
XII.08:		FAULT IDENTIFICATION IN FUEL CELLS BASED ON BAYESIAN NETWORK DIAGNOSIS Luis A.M. Riascos, Marcelo G. Simões, Paulo E. Miyagi		pp.757-764
XII.09:		QUALITY ESTIMATION USING GENERIC MODEL PARAMETERS AND NEURAL NETWORK Daniel J. B. S. Sampaio, Norbert Link, Lucas A. Moscato		pp.765-771

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