Next Article in Journal
Development of Microfluidic Systems Enabling High-Throughput Single-Cell Protein Characterization
Next Article in Special Issue
Deriving the Characteristic Scale for Effectively Monitoring Heavy Metal Stress in Rice by Assimilation of GF-1 Data with the WOFOST Model
Previous Article in Journal
Grüt: A Gardening Sensor Kit for Children
Previous Article in Special Issue
Spray Droplet Characterization from a Single Nozzle by High Speed Image Analysis Using an In-Focus Droplet Criterion
Article Menu

Export Article

Open AccessArticle
Sensors 2016, 16(2), 233; doi:10.3390/s16020233

Suppression of Strong Background Interference on E-Nose Sensors in an Open Country Environment

1
College of Communication Engineering, Chongqing University, 174 Sha Pingba, Chongqing 400044, China
2
Advanced Robotics and Intelligent Systems (ARIS) Lab, School of Engineering, University of Guelph, Guelph, ON N1G 2W1, Canada
*
Author to whom correspondence should be addressed.
Academic Editor: W. Rudolf Seitz
Received: 16 November 2015 / Revised: 3 February 2016 / Accepted: 5 February 2016 / Published: 16 February 2016
(This article belongs to the Special Issue Sensors for Agriculture)
View Full-Text   |   Download PDF [9075 KB, uploaded 16 February 2016]   |  

Abstract

The feature extraction technique for an electronic nose (e-nose) applied in tobacco smell detection in an open country/outdoor environment with periodic background strong interference is studied in this paper. Principal component analysis (PCA), Independent component analysis (ICA), re-filtering and a priori knowledge are combined to separate and suppress background interference on the e-nose. By the coefficient of multiple correlation (CMC), it can be verified that a better separation of environmental temperature, humidity, and atmospheric pressure variation related background interference factors can be obtained with ICA. By re-filtering according to the on-site interference characteristics a composite smell curve was obtained which is more related to true smell information based on the tobacco curer’s experience. View Full-Text
Keywords: electronic nose sensors; outdoor; background interference; suppression electronic nose sensors; outdoor; background interference; suppression
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Tian, F.; Zhang, J.; Yang, S.X.; Zhao, Z.; Liang, Z.; Liu, Y.; Wang, D. Suppression of Strong Background Interference on E-Nose Sensors in an Open Country Environment. Sensors 2016, 16, 233.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top