About: Experiences Implementing Developed Industrial Software for the Center Quality Modeling of Slabs in Metalography

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://dx.doi.org/10.3233/978-1-61499-177-9-181
Description	Recognizing the central quality of a metallographic sample represents, for a metallographic laboratory expert, a challenging task involving analyzing the size and number of defects at the evaluated segment. In order to help human experts, a software tool was developed for machine evaluation of these metallographic samples. The aim of the paper is to present the properties of the developed software and to demonstrate its practical application in industry. The developed software tool is based on the machine recognition of small but important non-homogeneity objects located at the central part of the metallographic sample and on a statistical evaluation of the properties of these extracted central objects. Because the central objects are very similar to noise, machine recognition is not straightforward. However, this paper contains promising results of comparing machine and expert assessments of an industrial image database of digitized metallographic samples. The image database is provided by the research department of ArcelorMittal Ostrava, a.s., in the Czech Republic. Recognizing the central quality of a metallographic sample represents, for a metallographic laboratory expert, a challenging task involving analyzing the size and number of defects at the evaluated segment. In order to help human experts, a software tool was developed for machine evaluation of these metallographic samples. The aim of the paper is to present the properties of the developed software and to demonstrate its practical application in industry. The developed software tool is based on the machine recognition of small but important non-homogeneity objects located at the central part of the metallographic sample and on a statistical evaluation of the properties of these extracted central objects. Because the central objects are very similar to noise, machine recognition is not straightforward. However, this paper contains promising results of comparing machine and expert assessments of an industrial image database of digitized metallographic samples. The image database is provided by the research department of ArcelorMittal Ostrava, a.s., in the Czech Republic. (en)
Title	Experiences Implementing Developed Industrial Software for the Center Quality Modeling of Slabs in Metalography Experiences Implementing Developed Industrial Software for the Center Quality Modeling of Slabs in Metalography (en)
skos:prefLabel	Experiences Implementing Developed Industrial Software for the Center Quality Modeling of Slabs in Metalography Experiences Implementing Developed Industrial Software for the Center Quality Modeling of Slabs in Metalography (en)
skos:notation	RIV/61989100:27600/13:86085119!RIV14-MPO-27600___
http://linked.open...avai/riv/aktivita	P S
http://linked.open...avai/riv/aktivity	P(FR-TI1/432), S
http://linked.open...vai/riv/dodaniDat	2014
http://linked.open...aciTvurceVysledku	Praks, Pavel
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoká škola báňská - Technická univerzita Ostrava / Katedra matematiky a deskriptivní geometrie
http://linked.open...dnocenehoVysledku	73982
http://linked.open...ai/riv/idVysledku	RIV/61989100:27600/13:86085119
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Steel making; Slab quality; Segregation area; Quality control; Monitoring; Materials science and technology; Information retrieval; Image classification; Expert systems; Human factors; Control systems (en)
http://linked.open.../riv/klicoveSlovo	Quality control Control systems Expert systems Materials science and technology Segregation area Slab quality Steel making Monitoring Image classification Human factors Information retrieval
http://linked.open...ontrolniKodProRIV	[B5B3CB02070E]
http://linked.open...v/mistoKonaniAkce	Praha
http://linked.open...i/riv/mistoVydani	Amsterodam
http://linked.open...i/riv/nazevZdroje	Frontiers in Artificial Intelligence and Applications. Volume 251
http://linked.open...in/vavai/riv/obor	BB
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	4 (xsd:int)
http://linked.open...vavai/riv/projekt	*New advanced computational methods for quality control in production of high quality steels
http://linked.open...UplatneniVysledku	2013
http://linked.open...iv/tvurceVysledku	Kotas, Petr Jagla, Pavel Praks, Pavel Válek, Ladislav
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2012-06-04 (xsd:date)
issn	0922-6389
number of pages	7 (xsd:int)
http://bibframe.org/vocab/doi	10.3233/978-1-61499-177-9-181
http://purl.org/ne...btex#hasPublisher	IOS Press
https://schema.org/isbn	978-1-61499-176-2
http://localhost/t...ganizacniJednotka	27600

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