A neural network approach to plasma emission interpretation

W Dubitzky, D Mariotti, M Hyland, JAD McLaughlin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Artificial or Electronic Noses mimic the gas-detection function of biological olfactory systems. They have been used in a wide variety of applications ranging from testing of fragrances, through analysis of human breath, to the detection of banned drugs and explosives. An artificial nose system is generally composed of a sensing subsystem anda pattern recognition subsystem. More recently, Plasma Emission Spectroscopy (PES) has been proposed as an approach to building low-selectivity sensing subsystems. Due to the complexities of the underlying physical phenomena in PES, the resulting spectra are difficult to interpret. This paper presents an artificial neural network approach to plasma emission interpretation.
LanguageEnglish
Title of host publicationUnknown Host Publication
Pages47-50
Number of pages4
Publication statusPublished - 1998
EventInternational Society for Computers and their Applications 11TH International Conference on Computer Applications in Industry and Engineering - Las Vegas, USA
Duration: 1 Jan 1998 → …

Conference

ConferenceInternational Society for Computers and their Applications 11TH International Conference on Computer Applications in Industry and Engineering
Period1/01/98 → …

Fingerprint

Emission spectroscopy
Neural networks
Plasmas
Fragrances
Biological systems
Pattern recognition
Gases
Testing
Pharmaceutical Preparations
Electronic nose

Cite this

Dubitzky, W., Mariotti, D., Hyland, M., & McLaughlin, JAD. (1998). A neural network approach to plasma emission interpretation. In Unknown Host Publication (pp. 47-50)
Dubitzky, W ; Mariotti, D ; Hyland, M ; McLaughlin, JAD. / A neural network approach to plasma emission interpretation. Unknown Host Publication. 1998. pp. 47-50
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abstract = "Artificial or Electronic Noses mimic the gas-detection function of biological olfactory systems. They have been used in a wide variety of applications ranging from testing of fragrances, through analysis of human breath, to the detection of banned drugs and explosives. An artificial nose system is generally composed of a sensing subsystem anda pattern recognition subsystem. More recently, Plasma Emission Spectroscopy (PES) has been proposed as an approach to building low-selectivity sensing subsystems. Due to the complexities of the underlying physical phenomena in PES, the resulting spectra are difficult to interpret. This paper presents an artificial neural network approach to plasma emission interpretation.",
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note = "11th International Conference on Computer Applications in Industry and Engineering, LAS VEGAS, NV, NOV 11-13, 1998",
year = "1998",
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pages = "47--50",
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Dubitzky, W, Mariotti, D, Hyland, M & McLaughlin, JAD 1998, A neural network approach to plasma emission interpretation. in Unknown Host Publication. pp. 47-50, International Society for Computers and their Applications 11TH International Conference on Computer Applications in Industry and Engineering, 1/01/98.

A neural network approach to plasma emission interpretation. / Dubitzky, W; Mariotti, D; Hyland, M; McLaughlin, JAD.

Unknown Host Publication. 1998. p. 47-50.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - A neural network approach to plasma emission interpretation

AU - Dubitzky, W

AU - Mariotti, D

AU - Hyland, M

AU - McLaughlin, JAD

N1 - 11th International Conference on Computer Applications in Industry and Engineering, LAS VEGAS, NV, NOV 11-13, 1998

PY - 1998

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N2 - Artificial or Electronic Noses mimic the gas-detection function of biological olfactory systems. They have been used in a wide variety of applications ranging from testing of fragrances, through analysis of human breath, to the detection of banned drugs and explosives. An artificial nose system is generally composed of a sensing subsystem anda pattern recognition subsystem. More recently, Plasma Emission Spectroscopy (PES) has been proposed as an approach to building low-selectivity sensing subsystems. Due to the complexities of the underlying physical phenomena in PES, the resulting spectra are difficult to interpret. This paper presents an artificial neural network approach to plasma emission interpretation.

AB - Artificial or Electronic Noses mimic the gas-detection function of biological olfactory systems. They have been used in a wide variety of applications ranging from testing of fragrances, through analysis of human breath, to the detection of banned drugs and explosives. An artificial nose system is generally composed of a sensing subsystem anda pattern recognition subsystem. More recently, Plasma Emission Spectroscopy (PES) has been proposed as an approach to building low-selectivity sensing subsystems. Due to the complexities of the underlying physical phenomena in PES, the resulting spectra are difficult to interpret. This paper presents an artificial neural network approach to plasma emission interpretation.

M3 - Conference contribution

SP - 47

EP - 50

BT - Unknown Host Publication

ER -

Dubitzky W, Mariotti D, Hyland M, McLaughlin JAD. A neural network approach to plasma emission interpretation. In Unknown Host Publication. 1998. p. 47-50