A neural network approach to plasma emission interpretation

W Dubitzky; D Mariotti; M Hyland; JAD McLaughlin

A neural network approach to plasma emission interpretation

W Dubitzky
, D Mariotti
, M Hyland
, JAD McLaughlin

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Unknown Host Publication
Pages	47-50
Number of pages	4
Publication status	Published (in print/issue) - 1998
Event	International Society for Computers and their Applications 11TH International Conference on Computer Applications in Industry and Engineering - Las Vegas, USA Duration: 1 Jan 1998 → …

Conference

Conference	International Society for Computers and their Applications 11TH International Conference on Computer Applications in Industry and Engineering
Period	1/01/98 → …

Bibliographical note

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

Cite this

@inproceedings{44c3e0bd75f647cfa737873db05dde69,

title = "A neural network approach to plasma emission interpretation",

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.",

author = "W Dubitzky and D Mariotti and M Hyland and JAD McLaughlin",

note = "11th International Conference on Computer Applications in Industry and Engineering, LAS VEGAS, NV, NOV 11-13, 1998; International Society for Computers and their Applications 11TH International Conference on Computer Applications in Industry and Engineering ; Conference date: 01-01-1998",

year = "1998",

language = "English",

pages = "47--50",

booktitle = "Unknown Host Publication",

}

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

Y1 - 1998

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

T2 - International Society for Computers and their Applications 11TH International Conference on Computer Applications in Industry and Engineering

Y2 - 1 January 1998

ER -

A neural network approach to plasma emission interpretation

Abstract

Conference

Bibliographical note

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Cite this