Electronic nose for odour identification
Electronic Nose is developed to function like a real nose in daily lives where its basic principles come from the human olfactory (sensing) system. It is used as automated detection and classification of odours, vapours and gases through several complex technologies. The objecti...
Saved in:
Main Author: | |
---|---|
Other Authors: | |
Format: | Final Year Project |
Language: | English |
Published: |
2012
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/49869 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-49869 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.10356-498692023-07-07T18:05:59Z Electronic nose for odour identification Liu, TingTing. Mao Kezhi School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation Electronic Nose is developed to function like a real nose in daily lives where its basic principles come from the human olfactory (sensing) system. It is used as automated detection and classification of odours, vapours and gases through several complex technologies. The objective of this project is to identify two categories of smell which consists of four fruits and four spices. The whole system basically can be categorized into two main components, which are hardware system and software system. The hardware system can be categorized into sensing system, data acquisition. The software system can be categorized into classification and user interface.The sensing system is constructed based on an array of seven Figaro gas sensors. With the aid of LabVIEW, data acquisition program is developed, in capturing and collecting result from the signals generated by the sensors. The Probabilistic Neural Network has been adopted for the classification of various odours and a graphical user interface in displaying the identification of the odour. Both the classification process and the graphical user interface are developed by Excel and Macros (Visual Basic). Bachelor of Engineering 2012-05-25T03:18:36Z 2012-05-25T03:18:36Z 2012 2012 Final Year Project (FYP) http://hdl.handle.net/10356/49869 en Nanyang Technological University 121 p. application/pdf |
institution |
Nanyang Technological University |
building |
NTU Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NTU Library |
collection |
DR-NTU |
language |
English |
topic |
DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation |
spellingShingle |
DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation Liu, TingTing. Electronic nose for odour identification |
description |
Electronic Nose is developed to function like a real nose in daily lives where its basic
principles come from the human olfactory (sensing) system. It is used as automated detection
and classification of odours, vapours and gases through several complex technologies. The
objective of this project is to identify two categories of smell which consists of four fruits and
four spices.
The whole system basically can be categorized into two main components, which are
hardware system and software system. The hardware system can be categorized into sensing
system, data acquisition. The software system can be categorized into classification and user
interface.The sensing system is constructed based on an array of seven Figaro gas sensors. With the aid
of LabVIEW, data acquisition program is developed, in capturing and collecting result from
the signals generated by the sensors. The Probabilistic Neural Network has been adopted for
the classification of various odours and a graphical user interface in displaying the
identification of the odour. Both the classification process and the graphical user interface are
developed by Excel and Macros (Visual Basic). |
author2 |
Mao Kezhi |
author_facet |
Mao Kezhi Liu, TingTing. |
format |
Final Year Project |
author |
Liu, TingTing. |
author_sort |
Liu, TingTing. |
title |
Electronic nose for odour identification |
title_short |
Electronic nose for odour identification |
title_full |
Electronic nose for odour identification |
title_fullStr |
Electronic nose for odour identification |
title_full_unstemmed |
Electronic nose for odour identification |
title_sort |
electronic nose for odour identification |
publishDate |
2012 |
url |
http://hdl.handle.net/10356/49869 |
_version_ |
1772825734237126656 |