Ontology type: schema:ScholarlyArticle
2016-01-12
AUTHORSS. M. Bobrovnikov, A. B. Vorozhtsov, E. V. Gorlov, V. I. Zharkov, E. M. Maksimov, Yu. N. Panchenko, G. V. Sakovich
ABSTRACTThe paper presents results of studying the feasibility of remote detection of explosive vapors in the atmosphere based on the lidar principle using the method of laser fragmentation/laser-induced fluorescence. A project of the mobile, automated, fast-response scanning UV lidar for explosives detection at distances of 10–50 m is presented. Experimental data on the detection of trinitrotoluene (TNT), hexogen (RDX), and Composition B (CompB) vapors at a distance of 13 m are given. The threshold sensitivity of the lidar detector of explosive vapors is estimated. For TNT vapors, the threshold sensitivity of the lidar detector is estimated to be 1∙10−12 g/cm−3 for the detection probability P = 97%. More... »
PAGES1217-1225
http://scigraph.springernature.com/pub.10.1007/s11182-016-0635-9
DOIhttp://dx.doi.org/10.1007/s11182-016-0635-9
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1028669026
JSON-LD is the canonical representation for SciGraph data.
TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT
[
{
"@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json",
"about": [
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/02",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Physical Sciences",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0299",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Other Physical Sciences",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "V. E. Zuev Institute of Atmospheric Optics of the Siberian Branch of the Russian Academy of Sciences, Tomsk, Russia",
"id": "http://www.grid.ac/institutes/grid.435125.4",
"name": [
"National Research Tomsk State University, Tomsk, Russia",
"V. E. Zuev Institute of Atmospheric Optics of the Siberian Branch of the Russian Academy of Sciences, Tomsk, Russia"
],
"type": "Organization"
},
"familyName": "Bobrovnikov",
"givenName": "S. M.",
"id": "sg:person.012550374370.72",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012550374370.72"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Institute for Problems of Chemical and Energetic Technologies of the Siberian Branch of the Russian Academy of Sciences, Biisk, Russia",
"id": "http://www.grid.ac/institutes/None",
"name": [
"National Research Tomsk State University, Tomsk, Russia",
"Institute for Problems of Chemical and Energetic Technologies of the Siberian Branch of the Russian Academy of Sciences, Biisk, Russia"
],
"type": "Organization"
},
"familyName": "Vorozhtsov",
"givenName": "A. B.",
"id": "sg:person.0771536125.70",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0771536125.70"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "V. E. Zuev Institute of Atmospheric Optics of the Siberian Branch of the Russian Academy of Sciences, Tomsk, Russia",
"id": "http://www.grid.ac/institutes/grid.435125.4",
"name": [
"National Research Tomsk State University, Tomsk, Russia",
"V. E. Zuev Institute of Atmospheric Optics of the Siberian Branch of the Russian Academy of Sciences, Tomsk, Russia"
],
"type": "Organization"
},
"familyName": "Gorlov",
"givenName": "E. V.",
"id": "sg:person.010573673151.29",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010573673151.29"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "V. E. Zuev Institute of Atmospheric Optics of the Siberian Branch of the Russian Academy of Sciences, Tomsk, Russia",
"id": "http://www.grid.ac/institutes/grid.435125.4",
"name": [
"V. E. Zuev Institute of Atmospheric Optics of the Siberian Branch of the Russian Academy of Sciences, Tomsk, Russia"
],
"type": "Organization"
},
"familyName": "Zharkov",
"givenName": "V. I.",
"id": "sg:person.011455653107.92",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011455653107.92"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Moscow Institute of Physics and Technology, Moscow, Russia",
"id": "http://www.grid.ac/institutes/grid.18763.3b",
"name": [
"Moscow Institute of Physics and Technology, Moscow, Russia"
],
"type": "Organization"
},
"familyName": "Maksimov",
"givenName": "E. M.",
"type": "Person"
},
{
"affiliation": {
"alternateName": "5Institute of High Current Electronics of the Siberian Branch of the Russian Academy of Sciences, Tomsk, Russia",
"id": "http://www.grid.ac/institutes/None",
"name": [
"5Institute of High Current Electronics of the Siberian Branch of the Russian Academy of Sciences, Tomsk, Russia"
],
"type": "Organization"
},
"familyName": "Panchenko",
"givenName": "Yu. N.",
"id": "sg:person.011062242327.48",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011062242327.48"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Institute for Problems of Chemical and Energetic Technologies of the Siberian Branch of the Russian Academy of Sciences, Biisk, Russia",
"id": "http://www.grid.ac/institutes/None",
"name": [
"Institute for Problems of Chemical and Energetic Technologies of the Siberian Branch of the Russian Academy of Sciences, Biisk, Russia"
],
"type": "Organization"
},
"familyName": "Sakovich",
"givenName": "G. V.",
"id": "sg:person.07523164533.19",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07523164533.19"
],
"type": "Person"
}
],
"citation": [
{
"id": "sg:pub.10.1007/s11182-012-9856-8",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1019271098",
"https://doi.org/10.1007/s11182-012-9856-8"
],
"type": "CreativeWork"
}
],
"datePublished": "2016-01-12",
"datePublishedReg": "2016-01-12",
"description": "The paper presents results of studying the feasibility of remote detection of explosive vapors in the atmosphere based on the lidar principle using the method of laser fragmentation/laser-induced fluorescence. A project of the mobile, automated, fast-response scanning UV lidar for explosives detection at distances of 10\u201350 m is presented. Experimental data on the detection of trinitrotoluene (TNT), hexogen (RDX), and Composition B (CompB) vapors at a distance of 13 m are given. The threshold sensitivity of the lidar detector of explosive vapors is estimated. For TNT vapors, the threshold sensitivity of the lidar detector is estimated to be 1\u221910\u221212 g/cm\u22123 for the detection probability P = 97%.",
"genre": "article",
"id": "sg:pub.10.1007/s11182-016-0635-9",
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1313824",
"issn": [
"1064-8887",
"1573-9228"
],
"name": "Russian Physics Journal",
"publisher": "Springer Nature",
"type": "Periodical"
},
{
"issueNumber": "9",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "58"
}
],
"keywords": [
"lidar detector",
"explosive vapors",
"laser-induced fluorescence",
"lidar principle",
"UV lidar",
"detection of trinitrotoluene",
"explosive detection",
"remote detection",
"lidar detection",
"TNT vapor",
"detector",
"experimental data",
"threshold sensitivity",
"vapor",
"atmosphere",
"distance",
"trinitrotoluene",
"lidar",
"fluorescence",
"hexogen",
"detection",
"sensitivity",
"probability p",
"principles",
"method",
"results",
"feasibility",
"data",
"paper",
"project",
"mobile"
],
"name": "Lidar Detection of Explosive Vapors in the Atmosphere",
"pagination": "1217-1225",
"productId": [
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1028669026"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/s11182-016-0635-9"
]
}
],
"sameAs": [
"https://doi.org/10.1007/s11182-016-0635-9",
"https://app.dimensions.ai/details/publication/pub.1028669026"
],
"sdDataset": "articles",
"sdDatePublished": "2022-08-04T17:03",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-springernature-scigraph/baseset/20220804/entities/gbq_results/article/article_695.jsonl",
"type": "ScholarlyArticle",
"url": "https://doi.org/10.1007/s11182-016-0635-9"
}
]Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s11182-016-0635-9'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s11182-016-0635-9'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11182-016-0635-9'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11182-016-0635-9'
This table displays all metadata directly associated to this object as RDF triples.
143 TRIPLES
21 PREDICATES
56 URIs
47 LITERALS
6 BLANK NODES