Mitigation of toxicity in marine mussels by autonomous mobile agents

Author

Kumar, P. T Krishna ; Madhusudana, Suhas ; Vinod, P.T. ; Iyengar, S.S.

Author_Institution

CDO, IGCAR, Kalpakkam, India

fYear

2010

fDate

2-4 Jan. 2010

Firstpage

1

Lastpage

3

Abstract

We propose an autonomous algorithm for mobile agents in multisensor fusion. Our algorithm is based on the concept of mutual information (MI) and the bounds obtained for correlated information. The bounds are obtained by our technique of Determinant Inequalities to maximize the mutual information to achieve the conditions for autonomy. We demonstrate the superiority our autonomous algorithm over the Principal Component Analysis (PCA) in mitigating the trace element toxicity present in marine mussels.

Keywords

marine engineering; mobile agents; principal component analysis; sensor fusion; autonomous mobile agents; determinant inequalities technique; marine mussels; multisensor fusion; mutual information concept; principal component analysis; toxicity mitigation; Computer science; Educational institutions; Information theory; Marine technology; Mobile agents; Monitoring; Mutual information; Principal component analysis; Robust stability; Tellurium; Determinant Inequalities; autonomous systems; lower bounds; maximum mutual information; mobile agents;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communication and Sensor Computing, 2010. ICWCSC 2010. International Conference on

Conference_Location

Chennai

Print_ISBN

978-1-4244-5136-4

Electronic_ISBN

978-1-4244-5137-1

Type

conf

DOI

10.1109/ICWCSC.2010.5415880

Filename

5415880