About: New Classification Attributes for Signal Separation in Acoustic Emission Processing

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: New Classification Attributes for Signal Separation in Acoustic Emission Processing Goto Sponge NotDistinct Permalink

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
Description	We deal with the classification of acoustic emission random signals by means of fuzzy clustering, model-based statistical clustering and support vector machines. The signals are compared by means of newly introduced attributes obtained directly from the signals and from normed frequency spectra such as phi-divergence distance measure originated from information theory and statistics. We mention the well-known divergences (Kullback, Hellinger, Chi , Power) and we introduce several of its new modifications and extensions as generalized Hellinger divergences. These new families of divergences open new research possibilities in the area of statistical treatment of random signals. We realize experiments to test the proposed classification attributes and also consider industrial data from the real life. We deal with the classification of acoustic emission random signals by means of fuzzy clustering, model-based statistical clustering and support vector machines. The signals are compared by means of newly introduced attributes obtained directly from the signals and from normed frequency spectra such as phi-divergence distance measure originated from information theory and statistics. We mention the well-known divergences (Kullback, Hellinger, Chi , Power) and we introduce several of its new modifications and extensions as generalized Hellinger divergences. These new families of divergences open new research possibilities in the area of statistical treatment of random signals. We realize experiments to test the proposed classification attributes and also consider industrial data from the real life. (en)
Title	New Classification Attributes for Signal Separation in Acoustic Emission Processing New Classification Attributes for Signal Separation in Acoustic Emission Processing (en)
skos:prefLabel	New Classification Attributes for Signal Separation in Acoustic Emission Processing New Classification Attributes for Signal Separation in Acoustic Emission Processing (en)
skos:notation	RIV/68407700:21340/10:00176063!RIV11-MSM-21340___
http://linked.open...avai/riv/aktivita	S Z
http://linked.open...avai/riv/aktivity	S, Z(MSM6840770039)
http://linked.open...iv/cisloPeriodika	5
http://linked.open...vai/riv/dodaniDat	2011
http://linked.open...aciTvurceVysledku	Farová, Zuzana Kůs, Václav Tláskal, Jan
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	České vysoké učení technické v Praze / Fakulta jaderná a fyzikálně inženýrská
http://linked.open...dnocenehoVysledku	274639
http://linked.open...ai/riv/idVysledku	RIV/68407700:21340/10:00176063
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Classification attributes; Phi-divergences; Signal separation; Data processing (en)
http://linked.open.../riv/klicoveSlovo	Classification attributes Signal separation Data processing Phi-divergences
http://linked.open...odStatuVydavatele	SK - Slovenská republika
http://linked.open...ontrolniKodProRIV	[3CFFCEB5282D]
http://linked.open...i/riv/nazevZdroje	Forum Statisticum Slovacum
http://linked.open...in/vavai/riv/obor	BA
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...UplatneniVysledku	2010
http://linked.open...v/svazekPeriodika	7
http://linked.open...iv/tvurceVysledku	Kůs, Václav Farová, Zuzana Tláskal, Jan
http://linked.open...n/vavai/riv/zamer	Matematické, počítačové a experimentální metody ve fyzice
issn	1336-7420
number of pages	7 (xsd:int)
http://localhost/t...ganizacniJednotka	21340

Faceted Search & Find service v1.16.118 as of Jun 21 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 48 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software