Please use this identifier to cite or link to this item:
http://dspace.unimap.edu.my:80/xmlui/handle/123456789/20581
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Abu Hassan, Abdullah | - |
dc.contributor.author | Abdul Hamid, Adom, Prof. Madya Dr. | - |
dc.contributor.author | Ali Yeon, Md Shakaff, Prof. Dr. | - |
dc.contributor.author | Mohd Noor, Ahmad, Prof. Dr. | - |
dc.contributor.author | Ammar, Zakaria | - |
dc.contributor.author | Fathinul Syahir Ahmad, Sa'ad | - |
dc.date.accessioned | 2012-08-09T01:43:13Z | - |
dc.date.available | 2012-08-09T01:43:13Z | - |
dc.date.issued | 2012-02-27 | - |
dc.identifier.uri | http://dspace.unimap.edu.my/123456789/20581 | - |
dc.description | International Conference on Man Machine Systems (ICoMMS 2012) organized by School of Mechatronic Engineering, co-organized by The Institute of Engineer, Malaysia (IEM) and Society of Engineering Education Malaysia, 27th - 28th February 2012 at Bayview Beach Resort, Penang, Malaysia. | en_US |
dc.description.abstract | Electronic nose (e-nose) is a non-destructive intelligent instrument that mimics human olfactory system to detect, discriminate and classify odour. The instrument have vast potential applications includes food quality assurance, plant disease and malodour monitoring. The increases of the instrument potential applications have attracted many research groups to developed a cost-effective system with simple operating procedure. Recent developments in embedded technology have made possible for low cost integration of powerful embedded system for a small device. This paper discusses the selection of optimum embedded controller for the development of a handheld e-nose. The selected controller should enable the instrument to operate effectively. The developed instrument is using off-theshelf components i.e. metal oxide sensor, microcontroller and signal conditioning circuit. The instrument offer rapid response, versatility and novelty in the detection of sample odour. The data processing is using multivariate statistical analysis i.e. principal component analysis (PCA), Hierarchical Cluster Analysis (HCA) and Linear Discriminate Analysis (LDA). The developed instrument is tested to discriminate the basic aromatic smell. Initial results show that the instrument is able to discriminate the samples based on their odour chemical fingerprint profile. The multivariate statistical analysis (PCA, HCA and LDA) plot show that the samples are grouping into different cluster. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Universiti Malaysia Perlis (UniMAP) | en_US |
dc.relation.ispartofseries | Proceedings of the International Conference on Man-Machine Systems (ICoMMS 2012) | en_US |
dc.subject | Electronic nose | en_US |
dc.subject | Sensory system | en_US |
dc.subject | Microcontroller | en_US |
dc.subject | Multivariate statistical analysis | en_US |
dc.title | The optimum embedded controller for handheld electronic nose | en_US |
dc.type | Working Paper | en_US |
dc.publisher.department | School of Mechatronic Engineering | en_US |
dc.contributor.url | abu.hassan@unimap.edu.my | en_US |
dc.contributor.url | aliyeon@unimap.edu.my | en_US |
Appears in Collections: | Conference Papers Abdul Hamid Adom, Prof. Dr. Ali Yeon Md Shakaff, Dato' Prof. Dr. Abu Hassan Abdullah, Associate Prof. Ir. Ts. Dr. Mohd Noor Ahmad, Prof. Dr. |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
132-13318_The Optimum Embedded Controller for Hand Held Electronic Nose.pdf | Access is limited to UniMAP community | 172.89 kB | Adobe PDF | View/Open |
Items in UniMAP Library Digital Repository are protected by copyright, with all rights reserved, unless otherwise indicated.