TY - JOUR
T1 - Chemical Agent Detection using the Receptor Density Algorithm
AU - Hilder, James Alan
AU - Owens, N
AU - Hickey, P
AU - Cairns, S
AU - Neal, M
AU - Kilgour, D
AU - Timmis, Jon
AU - Tyrrell, Andy
PY - 2012/11
Y1 - 2012/11
N2 - This paper describes the application of the receptor density algorithm, an artificial immune system, as used to detect chemicals from data provided by various spectrometers. The system creates chemical signatures which are matched to a library of known chemicals, allowing the positive identification of hazardous substances. The performance of the system is tested against a publicly available mass-spectrometry dataset, against which it has previously been demonstrated as an effective anomaly detection algorithm. An autonomous chemical-detection device is then discussed, in which the algorithm is running on hardware embedded in a Pioneer robot carrying a portable chemical agent monitor.
AB - This paper describes the application of the receptor density algorithm, an artificial immune system, as used to detect chemicals from data provided by various spectrometers. The system creates chemical signatures which are matched to a library of known chemicals, allowing the positive identification of hazardous substances. The performance of the system is tested against a publicly available mass-spectrometry dataset, against which it has previously been demonstrated as an effective anomaly detection algorithm. An autonomous chemical-detection device is then discussed, in which the algorithm is running on hardware embedded in a Pioneer robot carrying a portable chemical agent monitor.
UR - http://www.scopus.com/inward/record.url?scp=84871795402&partnerID=8YFLogxK
U2 - 10.1109/TSMCC.2012.2218236
DO - 10.1109/TSMCC.2012.2218236
M3 - Article
SN - 1094-6977
VL - 42
SP - 1730
EP - 1741
JO - IEEE Transactions on Systems, Man and Cybernetics Part C
JF - IEEE Transactions on Systems, Man and Cybernetics Part C
IS - 6
M1 - 6392458
ER -