The EU-SENSE System for Chemical Hazards Detection, Identification, and Monitoring

Chemical reconnaissance, defined as hazards detection, identification, and monitoring, requires tools and solutions which provide reliable and precise data. In this field, the advances of artificial intelligence can be applied. This article aims to propose a novel approach for developing a chemical...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Małgorzata Gawlik-Kobylińska, Grzegorz Gudzbeler, Łukasz Szklarski, Norbert Kopp, Helge Koch-Eschweiler, Mariusz Urban
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	chemical detection chemical identification chemical monitoring chemical reconnaissance machine learning modelling algorithms Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/2658fc00490c47e9a178ef1c764421c3
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:2658fc00490c47e9a178ef1c764421c3
record_format	dspace
spelling	oai:doaj.org-article:2658fc00490c47e9a178ef1c764421c32021-11-11T15:20:12ZThe EU-SENSE System for Chemical Hazards Detection, Identification, and Monitoring10.3390/app1121103082076-3417https://doaj.org/article/2658fc00490c47e9a178ef1c764421c32021-11-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/21/10308https://doaj.org/toc/2076-3417Chemical reconnaissance, defined as hazards detection, identification, and monitoring, requires tools and solutions which provide reliable and precise data. In this field, the advances of artificial intelligence can be applied. This article aims to propose a novel approach for developing a chemical reconnaissance system that relies on machine learning, modelling algorithms, as well as the contaminant dispersion model to combine signals from different sensors and reduce false alarm rates. A case study of the European Union Horizon 2020 project–EU-SENSE is used and the main features of the system are analysed: heterogeneous sensor nodes components, chemical agents to be detected, and system architecture design. Through the proposed approach, chemical reconnaissance capabilities are improved, resulting in more effective crisis management. The idea for the system design can be used and developed in other areas, namely, in biological or radiological threat reconnaissance.Małgorzata Gawlik-KobylińskaGrzegorz GudzbelerŁukasz SzklarskiNorbert KoppHelge Koch-EschweilerMariusz UrbanMDPI AGarticlechemical detectionchemical identificationchemical monitoringchemical reconnaissancemachine learningmodelling algorithmsTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 10308, p 10308 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	chemical detection chemical identification chemical monitoring chemical reconnaissance machine learning modelling algorithms Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
spellingShingle	chemical detection chemical identification chemical monitoring chemical reconnaissance machine learning modelling algorithms Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Małgorzata Gawlik-Kobylińska Grzegorz Gudzbeler Łukasz Szklarski Norbert Kopp Helge Koch-Eschweiler Mariusz Urban The EU-SENSE System for Chemical Hazards Detection, Identification, and Monitoring
description	Chemical reconnaissance, defined as hazards detection, identification, and monitoring, requires tools and solutions which provide reliable and precise data. In this field, the advances of artificial intelligence can be applied. This article aims to propose a novel approach for developing a chemical reconnaissance system that relies on machine learning, modelling algorithms, as well as the contaminant dispersion model to combine signals from different sensors and reduce false alarm rates. A case study of the European Union Horizon 2020 project–EU-SENSE is used and the main features of the system are analysed: heterogeneous sensor nodes components, chemical agents to be detected, and system architecture design. Through the proposed approach, chemical reconnaissance capabilities are improved, resulting in more effective crisis management. The idea for the system design can be used and developed in other areas, namely, in biological or radiological threat reconnaissance.
format	article
author	Małgorzata Gawlik-Kobylińska Grzegorz Gudzbeler Łukasz Szklarski Norbert Kopp Helge Koch-Eschweiler Mariusz Urban
author_facet	Małgorzata Gawlik-Kobylińska Grzegorz Gudzbeler Łukasz Szklarski Norbert Kopp Helge Koch-Eschweiler Mariusz Urban
author_sort	Małgorzata Gawlik-Kobylińska
title	The EU-SENSE System for Chemical Hazards Detection, Identification, and Monitoring
title_short	The EU-SENSE System for Chemical Hazards Detection, Identification, and Monitoring
title_full	The EU-SENSE System for Chemical Hazards Detection, Identification, and Monitoring
title_fullStr	The EU-SENSE System for Chemical Hazards Detection, Identification, and Monitoring
title_full_unstemmed	The EU-SENSE System for Chemical Hazards Detection, Identification, and Monitoring
title_sort	eu-sense system for chemical hazards detection, identification, and monitoring
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/2658fc00490c47e9a178ef1c764421c3
work_keys_str_mv	AT małgorzatagawlikkobylinska theeusensesystemforchemicalhazardsdetectionidentificationandmonitoring AT grzegorzgudzbeler theeusensesystemforchemicalhazardsdetectionidentificationandmonitoring AT łukaszszklarski theeusensesystemforchemicalhazardsdetectionidentificationandmonitoring AT norbertkopp theeusensesystemforchemicalhazardsdetectionidentificationandmonitoring AT helgekocheschweiler theeusensesystemforchemicalhazardsdetectionidentificationandmonitoring AT mariuszurban theeusensesystemforchemicalhazardsdetectionidentificationandmonitoring AT małgorzatagawlikkobylinska eusensesystemforchemicalhazardsdetectionidentificationandmonitoring AT grzegorzgudzbeler eusensesystemforchemicalhazardsdetectionidentificationandmonitoring AT łukaszszklarski eusensesystemforchemicalhazardsdetectionidentificationandmonitoring AT norbertkopp eusensesystemforchemicalhazardsdetectionidentificationandmonitoring AT helgekocheschweiler eusensesystemforchemicalhazardsdetectionidentificationandmonitoring AT mariuszurban eusensesystemforchemicalhazardsdetectionidentificationandmonitoring
_version_	1718435355707834368

The EU-SENSE System for Chemical Hazards Detection, Identification, and Monitoring

Ejemplares similares