| KEYWORD |
Drift Correction dei Sensori Olfattivi
keywords BIOINFORMATICS, EVOLUTIONARY COMPUTATION, GAS CHEMICAL SENSORS
Reference persons STEFANO DI CARLO, GIOVANNI SQUILLERO
Research Groups ELECTRONIC CAD & RELIABILITY GROUP - CAD, TESTGROUP - TESTGROUP
Description Use of bioinspired algorithms and techniques for the efficient correction of drift phenomena in chemical sensor measurements. Chemical sensors are nowadays widely used in several application including their use in the assessment of food quality.
qualitą dei prodotti alimentari.
Required skills Good knowledge of C/C++ programming. Is also appreciated a rudimental knowledge of clustering and machine learning techniques.
Notes In collaborazione con l'Universitą di Brescia, CNR-INFM Sensor Laboratory (Laboratory for Gas Sensors and Artificial Olfactive Systems).
Deadline 31/12/2012
PROPONI LA TUA CANDIDATURA