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In this figure, y-axis shows the performance improvement of the projection-based algorithm obtained by incorporating the auxiliary information (solar elevation, phase of day and time of year).
The suction method comprises an elevation phase as well as a retraction phase.
Soon after the addition, anammox reaction appeared and the nitrogen removal efficiency enhanced continuously, suggesting that the start-up course turned into activity elevation phase (104 148 d).
According to Tang et al. (2009) [ 12], the overall start-up of the anammox reactors was divided into four phases, namely, cell lysis phase, lag phase, activity elevation phase, and stationary phase.
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In this article, we investigate the advantages of using solar elevation and phase of the day as auxiliary information to enhance the performance of a colour constancy algorithm.
From this observation, the data from 1 year are used to create a solar elevation and phase of day-dependant method of interpreting the information obtained the colour constancy algorithms.
A distinct but relatively small population in the top right corners of the elevation and phase distributions represents mainly second-hop echoes, while another population at close ranges centred at Δ ≈ 10° results from "wrapping" of the returns whose elevation exceeds Δ2π.
Based on the investigation we describe a method to improve the performance of the colour constancy algorithms using the correlation between the correlated colour temperature of measured daylight with the solar elevation and phase of the day (morning, midday and evening).
The second conclusion is that the percentage performance improvement obtained when using the solar elevation and phase of day information to determine the appropriate decision boundaries show that this ancillary information is helpful and has improved the performance in most of the cases.
In Fig. 7a, we show statistical analysis of the original (uncorrected) data and present two-dimensional range histograms of the phase (top), elevation (middle) and virtual height (bottom).
Fig. 7 Two-dimensional histograms of the phase (top), elevation (middle) and virtual height (bottom) vs range calculated for the 06 09UT interval from Fig. 6 but using all radar beams: a the original (uncorrected) data; b data corrected with tdiff = 40 ns.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com