@article{(Open Science Index):https://publications.waset.org/pdf/6211,
	  title     = {Source Direction Detection based on Stationary Electronic Nose System},
	  author    = {Jie Cai and  David C. Levy},
	  country	= {},
	  institution	= {},
	  abstract     = {Electronic nose (array of chemical sensors) are widely
used in food industry and pollution control. Also it could be used to
locate or detect the direction of the source of emission odors. Usually
this task is performed by electronic nose (ENose) cooperated with
mobile vehicles, but when a source is instantaneous or surrounding is
hard for vehicles to reach, problem occurs. Thus a method for
stationary ENose to detect the direction of the source and locate the
source will be required. A novel method which uses the ratio between
the responses of different sensors as a discriminant to determine the
direction of source in natural wind surroundings is presented in this
paper. The result shows that the method is accurate and easily to be
implemented. This method could be also used in movably, as an
optimized algorithm for robot tracking source location.},
	    journal   = {International Journal of Electronics and Communication Engineering},
	  volume    = {2},
	  number    = {3},
	  year      = {2008},
	  pages     = {510 - 514},
	  ee        = {https://publications.waset.org/pdf/6211},
	  url   	= {https://publications.waset.org/vol/15},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 15, 2008},
	}