Cart (Loading....) | Create Account
Close category search window
 

Improvement of odor recognition chip

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Nakamoto, T. ; Graduate Sch. of Sci. & Eng., Tokyo Inst. of Technol., Japan ; Ozawa, T. ; Shibata, Y.

Since a handheld odor-sensing system with high computation capability for a neural network is required for the field measurement, a digital LSI called an odor recognition chip with the neural network was developed In our circuit, the data are expressed as 1-bit data stream with delta-sigma modulation to reduce the amounts of circuit and wiring. The LVQ (Learning Vector Quantization) circuit was designed using that technique. The experimental result revealed that the chip recognized the odors almost correctly even if the sensor responses were remarkably changed due to the air turbulence.

Published in:

Sensors, 2003. Proceedings of IEEE  (Volume:2 )

Date of Conference:

22-24 Oct. 2003

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.