Time：14：30～16：30,
June 1,2015
Room：01019,
Information Building in Jiuli Campus
Title：Multi-sensory
Analysis
Abstract：
Sensory evaluation has been widely applied in different
industrial fields especially for quality inspection, product design and
marketing. Classically, factorial multivariate methods are the only tool for
analyzing and modeling sensory data provided by experts, panelists or
consumers. These methods are efficient for solving some problems but sometimes
cause important information lost. In this situation, new methods based on
intelligent techniques such as fuzzy logic, neural networks, data aggregation,
classification, clustering have been applied for solving uncertainty and
imprecision related to sensory evaluation. These new methods can be used
together with the classical ones in a complementary way for obtaining relevant
information from sensory data. This report outlines the general background of
sensory evaluation and the corresponding industrial interests and explicitly
indicates some orientations for further development by IT researchers.
Speaker：Prof. Ludovic Koehl, ENSAIT, France
Profile：
Ludovic Koehl is Full
Professor and Deputy Director of Research in ENSAIT since September 2010. In
2006, Ludovic Koehl got his Qualification for leading research activities with
the manuscript entitled: "Optimization of the quality and comfort of
textiles by combining physical data and human knowledge". Since 1999, he
has been involved in a great number of projects dealing with optimization of
the quality and comfort of textiles by integrating physical measures and human
knowledge in the field of technical textiles, quality of textiles as well as
new usage and consumers' behavior studies for textile industry. Since 1998, he
has published more than 110 papers. His research interests include pattern
recognition, data mining, computer modeling and their applications in textile
industry.
