DocumentCode
2359398
Title
A Biological Early Warning System for Toxicity Detection
Author
Kim, Sung Yong ; Kwon, Ki Yong ; Lee, Won Don
Author_Institution
Dept. of Comput. Sci., Chungnam Nat. Univ., Daejeon, South Korea
fYear
2009
fDate
25-27 Aug. 2009
Firstpage
1157
Lastpage
1160
Abstract
Biological early warning systems (BEWS) for toxicity detection is developed. BEWS detect toxicity by tracking actions of the whole creatures in aqua. Collected data have created some noise, and therefore can decrease the performance of prediction. In the paper, a noise reduction is scheme is devised to improve the performance of the prediction. The experiment result shows the decreased error rate by the new method, and is far better than that of the former BEWS system.
Keywords
data handling; environmental science computing; water pollution; biological early warning system; noise reduction; toxicity detection; Alarm systems; Biology computing; Classification algorithms; Classification tree analysis; Computer science; Decision trees; Fractals; Rain; Testing; Training data; Biological early warning systems;
fLanguage
English
Publisher
ieee
Conference_Titel
INC, IMS and IDC, 2009. NCM '09. Fifth International Joint Conference on
Conference_Location
Seoul
Print_ISBN
978-1-4244-5209-5
Electronic_ISBN
978-0-7695-3769-6
Type
conf
DOI
10.1109/NCM.2009.358
Filename
5331392
Link To Document