Loading…

Chemical Detection Using the Receptor Density Algorithm

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...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on human-machine systems 2012-11, Vol.42 (6), p.1730-1741
Main Authors: Hilder, J. A., Owens, N. D. L., Neal, M. J., Hickey, P. J., Cairns, S. N., Kilgour, D. P. A., Timmis, J., Tyrrell, A. M.
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c358t-c027cbc77b0ab9135dbce956c81c0dc603c512bc8bcde3f011b66b511d8830163
cites cdi_FETCH-LOGICAL-c358t-c027cbc77b0ab9135dbce956c81c0dc603c512bc8bcde3f011b66b511d8830163
container_end_page 1741
container_issue 6
container_start_page 1730
container_title IEEE transactions on human-machine systems
container_volume 42
creator Hilder, J. A.
Owens, N. D. L.
Neal, M. J.
Hickey, P. J.
Cairns, S. N.
Kilgour, D. P. A.
Timmis, J.
Tyrrell, A. M.
description 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.
doi_str_mv 10.1109/TSMCC.2012.2218236
format article
fullrecord <record><control><sourceid>proquest_pasca</sourceid><recordid>TN_cdi_proquest_miscellaneous_1315674248</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>6392458</ieee_id><sourcerecordid>1315674248</sourcerecordid><originalsourceid>FETCH-LOGICAL-c358t-c027cbc77b0ab9135dbce956c81c0dc603c512bc8bcde3f011b66b511d8830163</originalsourceid><addsrcrecordid>eNpdkE1Lw0AQhoMoWKt_QC8BEbyk7uxXdo8lfkJF0Pa8JJNNuyVN6m566L83_aAHTzMwz_syPFF0C2QEQPTT9Oczy0aUAB1RCooyeRYNQAiVUM7peb8TzROp0_QyugphSQhwrtkgSrOFXTnM6_jZdhY71zbxLLhmHncLG39btOuu9f2xCa7bxuN63nrXLVbX0UWV18HeHOcwmr2-TLP3ZPL19pGNJwkyoboECU2xwDQtSF5oYKIs0GohUQGSEiVhKIAWqAosLasIQCFlIQBKpRgByYbR46F37dvfjQ2dWbmAtq7zxrabYICBkCmnXPXo_T902W58039noLcgOUmJ7il6oNC3IXhbmbV3q9xvDRCzc2n2Ls3OpTm67EMPx-o89K4qnzfowilJpQKl99zdgXPW2tNZMk25UOwPePd7Rg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1244640709</pqid></control><display><type>article</type><title>Chemical Detection Using the Receptor Density Algorithm</title><source>IEEE Xplore (Online service)</source><creator>Hilder, J. A. ; Owens, N. D. L. ; Neal, M. J. ; Hickey, P. J. ; Cairns, S. N. ; Kilgour, D. P. A. ; Timmis, J. ; Tyrrell, A. M.</creator><creatorcontrib>Hilder, J. A. ; Owens, N. D. L. ; Neal, M. J. ; Hickey, P. J. ; Cairns, S. N. ; Kilgour, D. P. A. ; Timmis, J. ; Tyrrell, A. M.</creatorcontrib><description>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.</description><identifier>ISSN: 1094-6977</identifier><identifier>ISSN: 2168-2291</identifier><identifier>EISSN: 1558-2442</identifier><identifier>EISSN: 2168-2305</identifier><identifier>DOI: 10.1109/TSMCC.2012.2218236</identifier><identifier>CODEN: ITCRFH</identifier><language>eng</language><publisher>New-York, NY: IEEE</publisher><subject>Algorithm design and analysis ; Algorithms ; Analytical models ; Applied sciences ; Artificial intelligence ; Biological techniques ; chemical sensors ; Chemicals ; Computer aided manufacturing ; Computer science; control theory; systems ; Control theory. Systems ; Data processing. List processing. Character string processing ; Density ; Exact sciences and technology ; Hardware ; hazardous materials ; Immune systems ; Instruments, apparatus, components and techniques common to several branches of physics and astronomy ; Learning and adaptive systems ; Mass spectrometers and related techniques ; Memory organisation. Data processing ; Monitors ; Negative feedback ; Physics ; Receptors ; Robot sensing systems ; Robotics ; Robots ; Running ; Software ; spectroscopy</subject><ispartof>IEEE transactions on human-machine systems, 2012-11, Vol.42 (6), p.1730-1741</ispartof><rights>2014 INIST-CNRS</rights><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Nov 2012</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c358t-c027cbc77b0ab9135dbce956c81c0dc603c512bc8bcde3f011b66b511d8830163</citedby><cites>FETCH-LOGICAL-c358t-c027cbc77b0ab9135dbce956c81c0dc603c512bc8bcde3f011b66b511d8830163</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6392458$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,777,781,27905,27906,54777</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=26818936$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Hilder, J. A.</creatorcontrib><creatorcontrib>Owens, N. D. L.</creatorcontrib><creatorcontrib>Neal, M. J.</creatorcontrib><creatorcontrib>Hickey, P. J.</creatorcontrib><creatorcontrib>Cairns, S. N.</creatorcontrib><creatorcontrib>Kilgour, D. P. A.</creatorcontrib><creatorcontrib>Timmis, J.</creatorcontrib><creatorcontrib>Tyrrell, A. M.</creatorcontrib><title>Chemical Detection Using the Receptor Density Algorithm</title><title>IEEE transactions on human-machine systems</title><addtitle>TSMCC</addtitle><description>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.</description><subject>Algorithm design and analysis</subject><subject>Algorithms</subject><subject>Analytical models</subject><subject>Applied sciences</subject><subject>Artificial intelligence</subject><subject>Biological techniques</subject><subject>chemical sensors</subject><subject>Chemicals</subject><subject>Computer aided manufacturing</subject><subject>Computer science; control theory; systems</subject><subject>Control theory. Systems</subject><subject>Data processing. List processing. Character string processing</subject><subject>Density</subject><subject>Exact sciences and technology</subject><subject>Hardware</subject><subject>hazardous materials</subject><subject>Immune systems</subject><subject>Instruments, apparatus, components and techniques common to several branches of physics and astronomy</subject><subject>Learning and adaptive systems</subject><subject>Mass spectrometers and related techniques</subject><subject>Memory organisation. Data processing</subject><subject>Monitors</subject><subject>Negative feedback</subject><subject>Physics</subject><subject>Receptors</subject><subject>Robot sensing systems</subject><subject>Robotics</subject><subject>Robots</subject><subject>Running</subject><subject>Software</subject><subject>spectroscopy</subject><issn>1094-6977</issn><issn>2168-2291</issn><issn>1558-2442</issn><issn>2168-2305</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><recordid>eNpdkE1Lw0AQhoMoWKt_QC8BEbyk7uxXdo8lfkJF0Pa8JJNNuyVN6m566L83_aAHTzMwz_syPFF0C2QEQPTT9Oczy0aUAB1RCooyeRYNQAiVUM7peb8TzROp0_QyugphSQhwrtkgSrOFXTnM6_jZdhY71zbxLLhmHncLG39btOuu9f2xCa7bxuN63nrXLVbX0UWV18HeHOcwmr2-TLP3ZPL19pGNJwkyoboECU2xwDQtSF5oYKIs0GohUQGSEiVhKIAWqAosLasIQCFlIQBKpRgByYbR46F37dvfjQ2dWbmAtq7zxrabYICBkCmnXPXo_T902W58039noLcgOUmJ7il6oNC3IXhbmbV3q9xvDRCzc2n2Ls3OpTm67EMPx-o89K4qnzfowilJpQKl99zdgXPW2tNZMk25UOwPePd7Rg</recordid><startdate>20121101</startdate><enddate>20121101</enddate><creator>Hilder, J. A.</creator><creator>Owens, N. D. L.</creator><creator>Neal, M. J.</creator><creator>Hickey, P. J.</creator><creator>Cairns, S. N.</creator><creator>Kilgour, D. P. A.</creator><creator>Timmis, J.</creator><creator>Tyrrell, A. M.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>F28</scope></search><sort><creationdate>20121101</creationdate><title>Chemical Detection Using the Receptor Density Algorithm</title><author>Hilder, J. A. ; Owens, N. D. L. ; Neal, M. J. ; Hickey, P. J. ; Cairns, S. N. ; Kilgour, D. P. A. ; Timmis, J. ; Tyrrell, A. M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c358t-c027cbc77b0ab9135dbce956c81c0dc603c512bc8bcde3f011b66b511d8830163</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Algorithm design and analysis</topic><topic>Algorithms</topic><topic>Analytical models</topic><topic>Applied sciences</topic><topic>Artificial intelligence</topic><topic>Biological techniques</topic><topic>chemical sensors</topic><topic>Chemicals</topic><topic>Computer aided manufacturing</topic><topic>Computer science; control theory; systems</topic><topic>Control theory. Systems</topic><topic>Data processing. List processing. Character string processing</topic><topic>Density</topic><topic>Exact sciences and technology</topic><topic>Hardware</topic><topic>hazardous materials</topic><topic>Immune systems</topic><topic>Instruments, apparatus, components and techniques common to several branches of physics and astronomy</topic><topic>Learning and adaptive systems</topic><topic>Mass spectrometers and related techniques</topic><topic>Memory organisation. Data processing</topic><topic>Monitors</topic><topic>Negative feedback</topic><topic>Physics</topic><topic>Receptors</topic><topic>Robot sensing systems</topic><topic>Robotics</topic><topic>Robots</topic><topic>Running</topic><topic>Software</topic><topic>spectroscopy</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hilder, J. A.</creatorcontrib><creatorcontrib>Owens, N. D. L.</creatorcontrib><creatorcontrib>Neal, M. J.</creatorcontrib><creatorcontrib>Hickey, P. J.</creatorcontrib><creatorcontrib>Cairns, S. N.</creatorcontrib><creatorcontrib>Kilgour, D. P. A.</creatorcontrib><creatorcontrib>Timmis, J.</creatorcontrib><creatorcontrib>Tyrrell, A. M.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998–Present</collection><collection>IEEE Xplore</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics &amp; Communications Abstracts</collection><collection>Mechanical &amp; Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>ANTE: Abstracts in New Technology &amp; Engineering</collection><jtitle>IEEE transactions on human-machine systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hilder, J. A.</au><au>Owens, N. D. L.</au><au>Neal, M. J.</au><au>Hickey, P. J.</au><au>Cairns, S. N.</au><au>Kilgour, D. P. A.</au><au>Timmis, J.</au><au>Tyrrell, A. M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Chemical Detection Using the Receptor Density Algorithm</atitle><jtitle>IEEE transactions on human-machine systems</jtitle><stitle>TSMCC</stitle><date>2012-11-01</date><risdate>2012</risdate><volume>42</volume><issue>6</issue><spage>1730</spage><epage>1741</epage><pages>1730-1741</pages><issn>1094-6977</issn><issn>2168-2291</issn><eissn>1558-2442</eissn><eissn>2168-2305</eissn><coden>ITCRFH</coden><abstract>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.</abstract><cop>New-York, NY</cop><pub>IEEE</pub><doi>10.1109/TSMCC.2012.2218236</doi><tpages>12</tpages></addata></record>
fulltext fulltext
identifier ISSN: 1094-6977
ispartof IEEE transactions on human-machine systems, 2012-11, Vol.42 (6), p.1730-1741
issn 1094-6977
2168-2291
1558-2442
2168-2305
language eng
recordid cdi_proquest_miscellaneous_1315674248
source IEEE Xplore (Online service)
subjects Algorithm design and analysis
Algorithms
Analytical models
Applied sciences
Artificial intelligence
Biological techniques
chemical sensors
Chemicals
Computer aided manufacturing
Computer science
control theory
systems
Control theory. Systems
Data processing. List processing. Character string processing
Density
Exact sciences and technology
Hardware
hazardous materials
Immune systems
Instruments, apparatus, components and techniques common to several branches of physics and astronomy
Learning and adaptive systems
Mass spectrometers and related techniques
Memory organisation. Data processing
Monitors
Negative feedback
Physics
Receptors
Robot sensing systems
Robotics
Robots
Running
Software
spectroscopy
title Chemical Detection Using the Receptor Density Algorithm
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-18T12%3A37%3A35IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pasca&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Chemical%20Detection%20Using%20the%20Receptor%20Density%20Algorithm&rft.jtitle=IEEE%20transactions%20on%20human-machine%20systems&rft.au=Hilder,%20J.%20A.&rft.date=2012-11-01&rft.volume=42&rft.issue=6&rft.spage=1730&rft.epage=1741&rft.pages=1730-1741&rft.issn=1094-6977&rft.eissn=1558-2442&rft.coden=ITCRFH&rft_id=info:doi/10.1109/TSMCC.2012.2218236&rft_dat=%3Cproquest_pasca%3E1315674248%3C/proquest_pasca%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c358t-c027cbc77b0ab9135dbce956c81c0dc603c512bc8bcde3f011b66b511d8830163%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1244640709&rft_id=info:pmid/&rft_ieee_id=6392458&rfr_iscdi=true