Laboratoire d’Analyse et d’Architecture des Systèmes
S.REGIS, A.DONCESCU, J.DESACHY
Antilles, DISCO, Université des Antil
Revue Scientifique : Knowledge-Based Systems, Vol.21, N°1, pp.70-79, Février 2008 , N° 07292
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Today, the pace of progress in fermentation is fast and furious, particularly since the advent of genetic engineering and the recent advances in computer sciences and process control. The high cost associated with many fermentation processes makes optimization of bioreactor performance trough command control very desirable. Clearly, control of fermentation is recognized as a vital component in the operation and successful production of many industries. Todays advances in measurement, data acquisition and handling technologies provide a wealth of new data which can be used to improve existing models. In this article we propose a method of physiological state identification based on segmentation of bioreactor sensors signals. The underlying of this method is based on the detection of signals singularities by the Maximum of Modulus of Wavelets Transform and their characterization by Hölder exponent evaluation. The physiological states identification is based on the correlation product between biochemical signals. The efficiency of the method has been tested in a fed-batch fermentation having the goal to increase the biomass production.
S.REGIS, A.DONCESCU, J.DESACHY
Antilles, DISCO, Université des Antil
Revue Scientifique : Traitement du Signal, Vol.24, N°2, pp.115-131, 2007 , N° 07202
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110321A.DONCESCU, J.AGUILAR MARTIN, J.C.ATINE
DISCO
Revue Scientifique : Fuzzy Sets and Systems, Vol.158, N°3, pp.230-238, Février 2007 , N° 07235
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The image segmentation is very sensitive to the features used in the similarity measure and the objects type. In this paper we introduce a new segmentation algorithm based on fuzzy clustering. This method allows to incorporate spatial information which yield the result more accurate and more robust to noise. It is completely automatized with respect to the number of clusters and the setting up of membership functions. The data structure based on a Fuzzy Tree Algorithm allows to reduce the CPU time.
W.C.LU, R.FELLOUAH, G.ANDREI, N.ZHANG, F.MORA CAMINO, A.DONCESCU
ENAC, DISCO
Manifestation avec acte : VI International Conference on System identification and Control Problems, Moscou (Russie), Janvier 2007, 5p. , N° 07649
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112853A.DONCESCU, K.INOUE
DISCO, NII
Manifestation avec acte : 3rd International Conference on Autonomic and Trusted Computing (ATC 2006), Wuhan (Chine), Septembre 2006 , N° 06246
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110382R.FELLOUAH, W.C.LU, F.MORA CAMINO, A.DONCESCU
DISCO
Manifestation avec acte : 6th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes (SAFEPROCESS'2006), Beijing (Chine), 30 Août - 1er Septembre 2006, pp.211-216 , N° 06069
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107604A.DONCESCU, K.INOUE, G.RICHARD
DISCO, NII, IRIT-UPS
Manifestation avec acte : 16th International Conference on Inductive Logic Programming, Santiago (Espagne), 24-27 Août 2006, 6p. , N° 06245
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110369A.DONCESCU, S.REGIS
Antilles, DISCO
Manifestation avec acte : 11th IPMU International Conference, Paris (France), 2-7 Juillet 2006, 6p. , N° 06192
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108740S.REGIS, A.DONCESCU, J.L.URIBELARREA, J.DESACHY
Antilles, DISCO, INSAT, Université des Antil
Manifestations avec acte à diffusion limitée : Journées STIC et Environnement 2006, Narbonne (France), 7-9 Avril 2006, 13p. , N° 06193
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106384S.GONZALEZ-ROJO, I.BILEGAN, A.DONCESCU
ITCH Mexico, LAMIH, DISCO
Revue Scientifique : Recherche Transports Sécurité, Vol.93, pp.317-333, 2006 , N° 06241
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110201