Pubblicazione scientifica

Monitoring Biological Rhythms Through the Dynamic Model Identification of an Oyster Population

FILONE TECNOLOGICO	TEMA
economia circolare e sostenibilità
trasformazione e commercializzazione

RIASSUNTO

The measurements of valve activity in a population of bivalves under natural environmental conditions (16 oysters in the Bay of Arcachon, France) are used for a physiological model identification. A nonlinear autoregressive exogenous (NARX) model is designed and tested. The method to design the model has two parts: 1) structure of the model: the model takes into account the influence of environmental conditions using the measurements of sunlight intensity, the moonlight, tide levels, precipitation, and water salinity levels. A possible influence of the internal circadian/circatidal clocks is also analyzed and 2) least square calculation of the model parameters. Through this paper, it is demonstrated that the developed dynamical model of the oyster valve movement can be used for estimating normal physiological rhythms of permanently immersed oysters and can be considered for detecting perturbations of these rhythms due to changes in the water quality, i.e., for ecological monitoring.

DATA

Data di pubblicazione: 15/05/2017

AUTORI

HAFIZ AHMED
ROSANE USHIROBIRA
DENIS EFIMOV
DAMIEN TRAN
MOHAMEDOU SOW
PIERRE CIRET
JEAN-CHARLES MASSABUAU

ENTE DI AFFERENZA

NON-A TEAM AT INRIA PARC SCIENTIFIQUE DE LA HAUTE BORNE VILLENEUVE D’ASCQ FRANCE
CTR NATL RECHERCHE SCIENTIFIQUE UNITE MIXTE DE RECHERCHE UMR UNIV BORDEAUX 1 ARCACHON FRANCE

RIVISTA

IEEE Transactions on Systems, Man, and Cybernetics: Systems (Volume: 47, Issue: 6, Page(s): 939-949)

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