About: Expert system for classification of measured signal as a sequence of processes     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)

AttributesValues
rdf:type
Description
  • Classification of the processes is frequently required task in technical diagnostics. Often only a human expert is able to recognize data stream as list of processes that have occurred during the measurement. The recognized sequence of processes must describe the measured data stream as exactly as possible but the device should also be able to perform these processes in sequence. Described approach uses two steps to handle the problem. In the first stage, technique called the Hidden Markov Models is used to scan the data stream for possible occurrences of the processes. A set of hypotheses is generated by this algorithm. During the second stage a rule-based expert system is used to connect these hypotheses together when it is possible, and verify the resulting sequences of processes. The system based on a blackboard architecture is used to control the second stage.
  • Classification of the processes is frequently required task in technical diagnostics. Often only a human expert is able to recognize data stream as list of processes that have occurred during the measurement. The recognized sequence of processes must describe the measured data stream as exactly as possible but the device should also be able to perform these processes in sequence. Described approach uses two steps to handle the problem. In the first stage, technique called the Hidden Markov Models is used to scan the data stream for possible occurrences of the processes. A set of hypotheses is generated by this algorithm. During the second stage a rule-based expert system is used to connect these hypotheses together when it is possible, and verify the resulting sequences of processes. The system based on a blackboard architecture is used to control the second stage. (en)
Title
  • Expert system for classification of measured signal as a sequence of processes
  • Expert system for classification of measured signal as a sequence of processes (en)
skos:prefLabel
  • Expert system for classification of measured signal as a sequence of processes
  • Expert system for classification of measured signal as a sequence of processes (en)
skos:notation
  • RIV/49777513:23520/02:00072426!RIV/2003/MSM/235203/N
http://linked.open.../vavai/riv/strany
  • 0
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(LN00B096)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 645790
http://linked.open...ai/riv/idVysledku
  • RIV/49777513:23520/02:00072426
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • processes classification;technical diagnostics;hidden Markov models;Viterbi algorithm;expert systems (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [F922ABCC2434]
http://linked.open...v/mistoKonaniAkce
  • Neuveden
http://linked.open...i/riv/mistoVydani
  • Neuveden
http://linked.open...i/riv/nazevZdroje
  • Expert system for classification of measured signal as a sequence of processes
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...ocetUcastnikuAkce
http://linked.open...nichUcastnikuAkce
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Müller, Luděk
  • Bečvář, Petr
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Neuveden
http://localhost/t...ganizacniJednotka
  • 23520
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
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, 58 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software