Title :
An Algorithm of Feeble Gas Signal Recognition for Bioenergy Detection Using Wireless Sensor Network
Author :
Xia, Donghai ; Wang, Shu ; Zhu, Ming ; Tang, Hui
Author_Institution :
Dept. of Electron. & Inf., Huazhong Univ. of Sci. & Technol., Wuhan
Abstract :
For realizing the rules of microorganisms living behavior and detecting the distribution of its bioenergy, the method research of recognizing feeble biology signal using wireless sensor network for signal detection is discussed in the paper. An algorithm of feeble signal recognition for the gas releasing from organisms is presented, which is based on rough set mathematically. In the algorithm computation, the fractal characteristics of signal space are acquired from disorder signal space constructed by feeble gas sampling signals. And then the simulation of algorithm is given in order to show the proposed approach having fine robustness and accuracy for recognizing feeble biology signal applied in the area of biology information.
Keywords :
biochemistry; bioenergy conversion; gas sensors; microorganisms; rough set theory; signal detection; signal sampling; wireless sensor networks; bioenergy detection; biology information; biology signal; fractal characteristics; gas sampling signals; gas signal recognition; microorganisms; signal space; wireless sensor network; Biological system modeling; Biology computing; Computational biology; Computational modeling; Fractals; Microorganisms; Organisms; Sampling methods; Signal detection; Wireless sensor networks;
Conference_Titel :
Bioinformatics and Biomedical Engineering, 2007. ICBBE 2007. The 1st International Conference on
Conference_Location :
Wuhan
Print_ISBN :
1-4244-1120-3
DOI :
10.1109/ICBBE.2007.315