Matches in SemOpenAlex for { <https://semopenalex.org/work/W263206422> ?p ?o ?g. }
- W263206422 endingPage "783" @default.
- W263206422 startingPage "769" @default.
- W263206422 abstract "To improve the accuracy of real time vehicle surveillance, utilize the advances in wireless sensor networks to develop a magnetic signature and length estimation based vehicle classification methodology with binary proximity magnetic sensor networks and intelligent neuron classifier. In this algorithm, we use the low cost and high sensitive magnetic sensors to measure the magnetic field distortion when vehicle crosses the sensors and detect vehicle via an adaptive threshold. The vehicle length is estimated with the geometrical characteristics of the proximity sensor networks, and finally identifies vehicle type from an intelligent neural network classifier. Simulation and on-road experiment obtains high recognition rate over 90%. It verified that this algorithm enhances the vehicle surveillance with high accuracy and solid robustness." @default.
- W263206422 created "2016-06-24" @default.
- W263206422 creator A5006076236 @default.
- W263206422 creator A5010583292 @default.
- W263206422 creator A5052116148 @default.
- W263206422 creator A5056459929 @default.
- W263206422 date "2010-05-01" @default.
- W263206422 modified "2023-09-24" @default.
- W263206422 title "A Distributed Threshold Algorithm for Vehicle Classification Based on Binary Proximity Sensors and Intelligent Neuron Classifier" @default.
- W263206422 cites W1506600438 @default.
- W263206422 cites W1605279450 @default.
- W263206422 cites W2026754475 @default.
- W263206422 cites W2096356883 @default.
- W263206422 cites W2097603220 @default.
- W263206422 cites W2107482124 @default.
- W263206422 cites W2128445255 @default.
- W263206422 cites W2130431497 @default.
- W263206422 cites W2134783995 @default.
- W263206422 cites W2137111949 @default.
- W263206422 cites W2144921561 @default.
- W263206422 cites W2145860909 @default.
- W263206422 cites W2148130867 @default.
- W263206422 cites W2148522575 @default.
- W263206422 cites W2155623105 @default.
- W263206422 cites W2157851720 @default.
- W263206422 cites W2373766213 @default.
- W263206422 cites W242169416 @default.
- W263206422 cites W2576467080 @default.
- W263206422 cites W3004476941 @default.
- W263206422 cites W3022916364 @default.
- W263206422 cites W568124517 @default.
- W263206422 cites W1952377833 @default.
- W263206422 doi "https://doi.org/10.6688/jise.2010.26.3.3" @default.
- W263206422 hasPublicationYear "2010" @default.
- W263206422 type Work @default.
- W263206422 sameAs 263206422 @default.
- W263206422 citedByCount "6" @default.
- W263206422 countsByYear W2632064222015 @default.
- W263206422 countsByYear W2632064222016 @default.
- W263206422 countsByYear W2632064222017 @default.
- W263206422 countsByYear W2632064222018 @default.
- W263206422 crossrefType "journal-article" @default.
- W263206422 hasAuthorship W263206422A5006076236 @default.
- W263206422 hasAuthorship W263206422A5010583292 @default.
- W263206422 hasAuthorship W263206422A5052116148 @default.
- W263206422 hasAuthorship W263206422A5056459929 @default.
- W263206422 hasConcept C104317684 @default.
- W263206422 hasConcept C11413529 @default.
- W263206422 hasConcept C12267149 @default.
- W263206422 hasConcept C127413603 @default.
- W263206422 hasConcept C147176958 @default.
- W263206422 hasConcept C153180895 @default.
- W263206422 hasConcept C154945302 @default.
- W263206422 hasConcept C185592680 @default.
- W263206422 hasConcept C24590314 @default.
- W263206422 hasConcept C31258907 @default.
- W263206422 hasConcept C33923547 @default.
- W263206422 hasConcept C41008148 @default.
- W263206422 hasConcept C47796450 @default.
- W263206422 hasConcept C48372109 @default.
- W263206422 hasConcept C50644808 @default.
- W263206422 hasConcept C55493867 @default.
- W263206422 hasConcept C555944384 @default.
- W263206422 hasConcept C63479239 @default.
- W263206422 hasConcept C66905080 @default.
- W263206422 hasConcept C76155785 @default.
- W263206422 hasConcept C79403827 @default.
- W263206422 hasConcept C94375191 @default.
- W263206422 hasConcept C95623464 @default.
- W263206422 hasConceptScore W263206422C104317684 @default.
- W263206422 hasConceptScore W263206422C11413529 @default.
- W263206422 hasConceptScore W263206422C12267149 @default.
- W263206422 hasConceptScore W263206422C127413603 @default.
- W263206422 hasConceptScore W263206422C147176958 @default.
- W263206422 hasConceptScore W263206422C153180895 @default.
- W263206422 hasConceptScore W263206422C154945302 @default.
- W263206422 hasConceptScore W263206422C185592680 @default.
- W263206422 hasConceptScore W263206422C24590314 @default.
- W263206422 hasConceptScore W263206422C31258907 @default.
- W263206422 hasConceptScore W263206422C33923547 @default.
- W263206422 hasConceptScore W263206422C41008148 @default.
- W263206422 hasConceptScore W263206422C47796450 @default.
- W263206422 hasConceptScore W263206422C48372109 @default.
- W263206422 hasConceptScore W263206422C50644808 @default.
- W263206422 hasConceptScore W263206422C55493867 @default.
- W263206422 hasConceptScore W263206422C555944384 @default.
- W263206422 hasConceptScore W263206422C63479239 @default.
- W263206422 hasConceptScore W263206422C66905080 @default.
- W263206422 hasConceptScore W263206422C76155785 @default.
- W263206422 hasConceptScore W263206422C79403827 @default.
- W263206422 hasConceptScore W263206422C94375191 @default.
- W263206422 hasConceptScore W263206422C95623464 @default.
- W263206422 hasIssue "3" @default.
- W263206422 hasLocation W2632064221 @default.
- W263206422 hasOpenAccess W263206422 @default.
- W263206422 hasPrimaryLocation W2632064221 @default.
- W263206422 hasRelatedWork W1035337023 @default.
- W263206422 hasRelatedWork W163708237 @default.