Matches in SemOpenAlex for { <https://semopenalex.org/work/W2061680909> ?p ?o ?g. }
Showing items 1 to 76 of
76
with 100 items per page.
- W2061680909 abstract "The paper develops gas detection modules for the intelligent building. The modules use many gas sensors to detect environment of the home and building. The gas sensors of the detection modules are classified two types. One is competitiveness gas detection module, and uses the same sensors to detect gas leakage. The other is complementation gas detection module, and uses variety sensors to classify multiple gases. The paper uses Bayesian estimation algorithm to be applied in competitiveness gas detection module and complementation gas detection module, and implement the proposed algorithm to be nice for variety gas sensor combination method. In the competitiveness gas detection module, we use two gas sensors to improve the proposed algorithm to be right. In the complementation gas detection module, we use a NH3 sensor, an air pollution sensor, an alcohol sensor, a HS sensor, a smoke sensor, a CO sensor, a LPG sensor and a nature gas sensor, and can classify variety gases using Bayesian estimation algorithm. The controller of the two gas detection modules is HOLTEK microchip. The modules can communicate with the supervised computer via wire series interface or wireless RF interface, and cautions the user by the voice module. Finally, we present some experimental results to measure know and unknown gas using the two gas detection modules on the security system of the intelligent building." @default.
- W2061680909 created "2016-06-24" @default.
- W2061680909 creator A5011672302 @default.
- W2061680909 creator A5059064949 @default.
- W2061680909 creator A5080173904 @default.
- W2061680909 creator A5090298836 @default.
- W2061680909 date "2013-01-01" @default.
- W2061680909 modified "2023-09-27" @default.
- W2061680909 title "Bayesian Estimation Algorithm Applying in Gas Detection Modules" @default.
- W2061680909 cites W2029195896 @default.
- W2061680909 cites W2032800362 @default.
- W2061680909 cites W2062006773 @default.
- W2061680909 cites W2097182594 @default.
- W2061680909 doi "https://doi.org/10.4028/www.scientific.net/amm.284-287.1764" @default.
- W2061680909 hasPublicationYear "2013" @default.
- W2061680909 type Work @default.
- W2061680909 sameAs 2061680909 @default.
- W2061680909 citedByCount "0" @default.
- W2061680909 crossrefType "journal-article" @default.
- W2061680909 hasAuthorship W2061680909A5011672302 @default.
- W2061680909 hasAuthorship W2061680909A5059064949 @default.
- W2061680909 hasAuthorship W2061680909A5080173904 @default.
- W2061680909 hasAuthorship W2061680909A5090298836 @default.
- W2061680909 hasConcept C107673813 @default.
- W2061680909 hasConcept C11413529 @default.
- W2061680909 hasConcept C119599485 @default.
- W2061680909 hasConcept C127413603 @default.
- W2061680909 hasConcept C136197465 @default.
- W2061680909 hasConcept C149635348 @default.
- W2061680909 hasConcept C154945302 @default.
- W2061680909 hasConcept C170154142 @default.
- W2061680909 hasConcept C2779300254 @default.
- W2061680909 hasConcept C2780836893 @default.
- W2061680909 hasConcept C41008148 @default.
- W2061680909 hasConcept C79403827 @default.
- W2061680909 hasConcept C94915269 @default.
- W2061680909 hasConceptScore W2061680909C107673813 @default.
- W2061680909 hasConceptScore W2061680909C11413529 @default.
- W2061680909 hasConceptScore W2061680909C119599485 @default.
- W2061680909 hasConceptScore W2061680909C127413603 @default.
- W2061680909 hasConceptScore W2061680909C136197465 @default.
- W2061680909 hasConceptScore W2061680909C149635348 @default.
- W2061680909 hasConceptScore W2061680909C154945302 @default.
- W2061680909 hasConceptScore W2061680909C170154142 @default.
- W2061680909 hasConceptScore W2061680909C2779300254 @default.
- W2061680909 hasConceptScore W2061680909C2780836893 @default.
- W2061680909 hasConceptScore W2061680909C41008148 @default.
- W2061680909 hasConceptScore W2061680909C79403827 @default.
- W2061680909 hasConceptScore W2061680909C94915269 @default.
- W2061680909 hasLocation W20616809091 @default.
- W2061680909 hasOpenAccess W2061680909 @default.
- W2061680909 hasPrimaryLocation W20616809091 @default.
- W2061680909 hasRelatedWork W142632081 @default.
- W2061680909 hasRelatedWork W1938028523 @default.
- W2061680909 hasRelatedWork W1969330302 @default.
- W2061680909 hasRelatedWork W2023608812 @default.
- W2061680909 hasRelatedWork W2042268586 @default.
- W2061680909 hasRelatedWork W2090776702 @default.
- W2061680909 hasRelatedWork W2098514133 @default.
- W2061680909 hasRelatedWork W2118666005 @default.
- W2061680909 hasRelatedWork W2128487198 @default.
- W2061680909 hasRelatedWork W2129425747 @default.
- W2061680909 hasRelatedWork W2141269298 @default.
- W2061680909 hasRelatedWork W2151475463 @default.
- W2061680909 hasRelatedWork W2155066697 @default.
- W2061680909 hasRelatedWork W2187189726 @default.
- W2061680909 hasRelatedWork W2367550985 @default.
- W2061680909 hasRelatedWork W2391902441 @default.
- W2061680909 hasRelatedWork W2805322498 @default.
- W2061680909 hasRelatedWork W2895203600 @default.
- W2061680909 hasRelatedWork W3120093269 @default.
- W2061680909 hasRelatedWork W3148906809 @default.
- W2061680909 isParatext "false" @default.
- W2061680909 isRetracted "false" @default.
- W2061680909 magId "2061680909" @default.
- W2061680909 workType "article" @default.