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The uncorrelated scattering assumption is proved to be valid by using the real measurement data from the indoor environments.
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The paper includes experimental data from an indoor office environment as well as tests on simulated data sets.
Experimental data from an indoor laboratory-scale solar pond were used for the development, calibration and validation of the model.
Data from monitoring indoor temperature and lighting levels are used to discuss the trends in thermal and visual comfort respectively.
A literature survey was done to collect test data from occupied indoor pools.
In the subsections that follow, we apply these distance estimation and localization methods to both a simulated dataset and data from an indoor radio channel measurement campaign.
Data from all indoor air sampling showed TCE levels ranging from 0.18 to 140 µg/m.
Data from rural indoor settings provide unequivocal evidence of extreme exposures that often are 15 30 times higher than WHO AQG recommendations.
First, using hourly data from January-March 2011, indoor AH was predicted by outdoor AH, adjusted for differences by school location, with and without adjustments for outdoor temperature, and indoor temperature (Models A-C, Table 2).
We also decided to simultaneously calculate the distance from the indoor map data.
That's slowly changing, though, and Agrilyst can import data from the most popular sensor system in indoor agriculture (think CO2 and humidity levels).
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