FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4379232022> ?p ?o ?g. }

• W4379232022 endingPage "25724" @default.
• W4379232022 startingPage "25724" @default.
• W4379232022 abstract "Lighting is not only a key mediator for the perception of the architectural space but also plays a crucial role regarding the long-term well-being of its human occupants. Future lighting solutions must therefore be capable of monitoring lighting parameters to allow for a dynamic compensation of temporal changes from the optimal or intended conditions. Although mostly based on synthetic data, previous studies adopting small, low-cost, multi-band color sensors for this kind of parameter estimation have reported some promising preliminary results. Building up on these findings, the present work introduces a new methodology for estimating the absolute spectral irradiances of real-world lighting scenarios from the responses of a 10-channel spectral sensor by using a convolutional neural network approach. The lighting scenarios considered here are based on a tunable white floor lamp system set up at three different indoor locations and comprise combinations of LED, fluorescent, tungsten, and daylight lighting conditions. For white light mixtures of the various spectral components, the proposed reconstruction methodology yields estimates of the spectral power distribution with an average root-mean-square error of 1.6%, an average Δu'v' of less than 0.001, and an average illuminance accuracy of 2.7%. Sensor metamerism is discussed as a limiting factor for the achievable spectral reconstruction accuracy with certain light mixtures." @default.
• W4379232022 created "2023-06-04" @default.
• W4379232022 creator A5032017454 @default.
• W4379232022 creator A5033061863 @default.
• W4379232022 creator A5049187611 @default.
• W4379232022 creator A5050229353 @default.
• W4379232022 creator A5060248914 @default.
• W4379232022 date "2023-07-19" @default.
• W4379232022 modified "2023-10-02" @default.
• W4379232022 title "Reconstruction of spectral irradiance in a real application with a multi-channel spectral sensor using convolutional neural networks" @default.
• W4379232022 cites W1971735090 @default.
• W4379232022 cites W1994006245 @default.
• W4379232022 cites W2014217660 @default.
• W4379232022 cites W2027884229 @default.
• W4379232022 cites W2069351420 @default.
• W4379232022 cites W2081815008 @default.
• W4379232022 cites W2103496339 @default.
• W4379232022 cites W2155889930 @default.
• W4379232022 cites W2170011806 @default.
• W4379232022 cites W2314576532 @default.
• W4379232022 cites W2556522401 @default.
• W4379232022 cites W2768406024 @default.
• W4379232022 cites W2900298400 @default.
• W4379232022 cites W2919115771 @default.
• W4379232022 cites W2945020349 @default.
• W4379232022 cites W2947955287 @default.
• W4379232022 cites W2959479859 @default.
• W4379232022 cites W3034801719 @default.
• W4379232022 cites W3043873116 @default.
• W4379232022 cites W3092250928 @default.
• W4379232022 cites W3106064248 @default.
• W4379232022 cites W3121714476 @default.
• W4379232022 cites W3122759417 @default.
• W4379232022 cites W3140854437 @default.
• W4379232022 cites W3147251753 @default.
• W4379232022 cites W3157229776 @default.
• W4379232022 cites W3193702003 @default.
• W4379232022 cites W3202269738 @default.
• W4379232022 cites W4207012216 @default.
• W4379232022 cites W4239293153 @default.
• W4379232022 doi "https://doi.org/10.1364/oe.489449" @default.
• W4379232022 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37710452" @default.
• W4379232022 hasPublicationYear "2023" @default.
• W4379232022 type Work @default.
• W4379232022 citedByCount "0" @default.
• W4379232022 crossrefType "journal-article" @default.
• W4379232022 hasAuthorship W4379232022A5032017454 @default.
• W4379232022 hasAuthorship W4379232022A5033061863 @default.
• W4379232022 hasAuthorship W4379232022A5049187611 @default.
• W4379232022 hasAuthorship W4379232022A5050229353 @default.
• W4379232022 hasAuthorship W4379232022A5060248914 @default.
• W4379232022 hasBestOaLocation W43792320221 @default.
• W4379232022 hasConcept C108597893 @default.
• W4379232022 hasConcept C114700698 @default.
• W4379232022 hasConcept C118732332 @default.
• W4379232022 hasConcept C120665830 @default.
• W4379232022 hasConcept C121332964 @default.
• W4379232022 hasConcept C127313418 @default.
• W4379232022 hasConcept C1276947 @default.
• W4379232022 hasConcept C130066347 @default.
• W4379232022 hasConcept C149277555 @default.
• W4379232022 hasConcept C152822103 @default.
• W4379232022 hasConcept C154945302 @default.
• W4379232022 hasConcept C173163844 @default.
• W4379232022 hasConcept C176666156 @default.
• W4379232022 hasConcept C36365805 @default.
• W4379232022 hasConcept C41008148 @default.
• W4379232022 hasConcept C46423501 @default.
• W4379232022 hasConcept C4839761 @default.
• W4379232022 hasConcept C62649853 @default.
• W4379232022 hasConcept C94360122 @default.
• W4379232022 hasConceptScore W4379232022C108597893 @default.
• W4379232022 hasConceptScore W4379232022C114700698 @default.
• W4379232022 hasConceptScore W4379232022C118732332 @default.
• W4379232022 hasConceptScore W4379232022C120665830 @default.
• W4379232022 hasConceptScore W4379232022C121332964 @default.
• W4379232022 hasConceptScore W4379232022C127313418 @default.
• W4379232022 hasConceptScore W4379232022C1276947 @default.
• W4379232022 hasConceptScore W4379232022C130066347 @default.
• W4379232022 hasConceptScore W4379232022C149277555 @default.
• W4379232022 hasConceptScore W4379232022C152822103 @default.
• W4379232022 hasConceptScore W4379232022C154945302 @default.
• W4379232022 hasConceptScore W4379232022C173163844 @default.
• W4379232022 hasConceptScore W4379232022C176666156 @default.
• W4379232022 hasConceptScore W4379232022C36365805 @default.
• W4379232022 hasConceptScore W4379232022C41008148 @default.
• W4379232022 hasConceptScore W4379232022C46423501 @default.
• W4379232022 hasConceptScore W4379232022C4839761 @default.
• W4379232022 hasConceptScore W4379232022C62649853 @default.
• W4379232022 hasConceptScore W4379232022C94360122 @default.
• W4379232022 hasFunder F4320320879 @default.
• W4379232022 hasIssue "16" @default.
• W4379232022 hasLocation W43792320221 @default.
• W4379232022 hasLocation W43792320222 @default.
• W4379232022 hasOpenAccess W4379232022 @default.
• W4379232022 hasPrimaryLocation W43792320221 @default.
• W4379232022 hasRelatedWork W15147237 @default.
• W4379232022 hasRelatedWork W2059707233 @default.

• next