Assessment of electronic noses for support of a canine scent detection

Kerollos, Mark N. and Chan, Ka C. and Bennett, Pauleen and Howell, Tiffani (2015) Assessment of electronic noses for support of a canine scent detection. In: 10th International Conference on Information Technology and Applications (ICITA 2015), 1-4 July 2015, Sydney, Australia.

Abstract

The use of canines for the detection of trace substances has been invaluable to humans in the fields of medicine, security and logistics. Currently, it is a lengthy and expensive process to train these dogs. The integration of modern technologies is likely to result in improved efficiencies for this training process. This review of machine olfaction and the detection of trace substances in air suggests that while these technologies may be useful in the future, their current state does not provide any suitable opportunities for use in the field of canine scent detection.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: © Copyright 2015 ICITA. Abstracting is permitted with credit to the source. Permission to make digital or hard copies of a reasonable portion of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the conference event with the ISBN number. To copy otherwise, to republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee.
Faculty / Department / School: Current - Faculty of Business, Education, Law and Arts - School of Management and Enterprise
Date Deposited: 14 May 2018 02:48
Last Modified: 14 May 2018 02:56
Uncontrolled Keywords: canine, e-nose, scent, olfaction
Fields of Research : 08 Information and Computing Sciences > 0806 Information Systems > 080699 Information Systems not elsewhere classified
09 Engineering > 0915 Interdisciplinary Engineering > 091599 Interdisciplinary Engineering not elsewhere classified
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering
E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
URI: http://eprints.usq.edu.au/id/eprint/34045

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