Matches in SemOpenAlex for { <https://semopenalex.org/work/W4308364074> ?p ?o ?g. }
- W4308364074 endingPage "7" @default.
- W4308364074 startingPage "1" @default.
- W4308364074 abstract "We propose to utilize a commercially available DIALux lighting design software for simulation and planning of machine learning (ML) based angle-of-arrival (AOA) visible light positioning (VLP) systems. Here, different ML models, for example, second order linear regression (LR), artificial neural-network (ANN), and convolutional neural-network (CNN) are employed. The proposed VLP simulator works well with different ML algorithms. The results show that the proposed scheme can acts as an effective indoor VLP planning and design tool. Besides, it may also alleviate the training data collection in ML based VLP systems." @default.
- W4308364074 created "2022-11-11" @default.
- W4308364074 creator A5006865999 @default.
- W4308364074 creator A5018676580 @default.
- W4308364074 creator A5026429775 @default.
- W4308364074 creator A5040914962 @default.
- W4308364074 creator A5051233747 @default.
- W4308364074 creator A5066819755 @default.
- W4308364074 creator A5067538406 @default.
- W4308364074 date "2022-12-01" @default.
- W4308364074 modified "2023-10-16" @default.
- W4308364074 title "Utilizing Lighting Design Software for Simulation and Planning of Machine Learning Based Angle-of-Arrival (AOA) Visible Light Positioning (VLP) Systems" @default.
- W4308364074 cites W1582817946 @default.
- W4308364074 cites W1983726945 @default.
- W4308364074 cites W2051200316 @default.
- W4308364074 cites W2055294224 @default.
- W4308364074 cites W2098442568 @default.
- W4308364074 cites W2111566853 @default.
- W4308364074 cites W2149302746 @default.
- W4308364074 cites W2472133701 @default.
- W4308364074 cites W2532582639 @default.
- W4308364074 cites W2766177307 @default.
- W4308364074 cites W2786754192 @default.
- W4308364074 cites W2791124749 @default.
- W4308364074 cites W2792122773 @default.
- W4308364074 cites W2806913761 @default.
- W4308364074 cites W2915846188 @default.
- W4308364074 cites W2941394127 @default.
- W4308364074 cites W2945941376 @default.
- W4308364074 cites W2965596286 @default.
- W4308364074 cites W2969792451 @default.
- W4308364074 cites W2985219135 @default.
- W4308364074 cites W3009734089 @default.
- W4308364074 cites W3010719864 @default.
- W4308364074 cites W3021525650 @default.
- W4308364074 cites W3089875883 @default.
- W4308364074 cites W3107841742 @default.
- W4308364074 cites W3135397223 @default.
- W4308364074 cites W3185633823 @default.
- W4308364074 cites W3195457910 @default.
- W4308364074 cites W3205914330 @default.
- W4308364074 cites W4220676370 @default.
- W4308364074 cites W4281296606 @default.
- W4308364074 doi "https://doi.org/10.1109/jphot.2022.3212628" @default.
- W4308364074 hasPublicationYear "2022" @default.
- W4308364074 type Work @default.
- W4308364074 citedByCount "2" @default.
- W4308364074 countsByYear W43083640742023 @default.
- W4308364074 crossrefType "journal-article" @default.
- W4308364074 hasAuthorship W4308364074A5006865999 @default.
- W4308364074 hasAuthorship W4308364074A5018676580 @default.
- W4308364074 hasAuthorship W4308364074A5026429775 @default.
- W4308364074 hasAuthorship W4308364074A5040914962 @default.
- W4308364074 hasAuthorship W4308364074A5051233747 @default.
- W4308364074 hasAuthorship W4308364074A5066819755 @default.
- W4308364074 hasAuthorship W4308364074A5067538406 @default.
- W4308364074 hasBestOaLocation W43083640741 @default.
- W4308364074 hasConcept C119599485 @default.
- W4308364074 hasConcept C127413603 @default.
- W4308364074 hasConcept C134306372 @default.
- W4308364074 hasConcept C13545353 @default.
- W4308364074 hasConcept C154945302 @default.
- W4308364074 hasConcept C160487672 @default.
- W4308364074 hasConcept C176666156 @default.
- W4308364074 hasConcept C199360897 @default.
- W4308364074 hasConcept C21822782 @default.
- W4308364074 hasConcept C2777904410 @default.
- W4308364074 hasConcept C33923547 @default.
- W4308364074 hasConcept C41008148 @default.
- W4308364074 hasConcept C44154836 @default.
- W4308364074 hasConcept C50644808 @default.
- W4308364074 hasConcept C76155785 @default.
- W4308364074 hasConcept C77618280 @default.
- W4308364074 hasConcept C79403827 @default.
- W4308364074 hasConcept C81363708 @default.
- W4308364074 hasConceptScore W4308364074C119599485 @default.
- W4308364074 hasConceptScore W4308364074C127413603 @default.
- W4308364074 hasConceptScore W4308364074C134306372 @default.
- W4308364074 hasConceptScore W4308364074C13545353 @default.
- W4308364074 hasConceptScore W4308364074C154945302 @default.
- W4308364074 hasConceptScore W4308364074C160487672 @default.
- W4308364074 hasConceptScore W4308364074C176666156 @default.
- W4308364074 hasConceptScore W4308364074C199360897 @default.
- W4308364074 hasConceptScore W4308364074C21822782 @default.
- W4308364074 hasConceptScore W4308364074C2777904410 @default.
- W4308364074 hasConceptScore W4308364074C33923547 @default.
- W4308364074 hasConceptScore W4308364074C41008148 @default.
- W4308364074 hasConceptScore W4308364074C44154836 @default.
- W4308364074 hasConceptScore W4308364074C50644808 @default.
- W4308364074 hasConceptScore W4308364074C76155785 @default.
- W4308364074 hasConceptScore W4308364074C77618280 @default.
- W4308364074 hasConceptScore W4308364074C79403827 @default.
- W4308364074 hasConceptScore W4308364074C81363708 @default.
- W4308364074 hasIssue "6" @default.
- W4308364074 hasLocation W43083640741 @default.
- W4308364074 hasOpenAccess W4308364074 @default.
- W4308364074 hasPrimaryLocation W43083640741 @default.
- W4308364074 hasRelatedWork W2027302059 @default.