In our case, A-weighting jet noise L ref is broad-band in nature.
Compared to the research presented in this paper, the first and second sets of studies are more complete end-to-end solutions for noise monitoring: they employed A-weighting and have customized networking protocols (presented in [49, 50], respectively).
The results imply that the A-weighting procedure leads to an overestimation of low frequency tones and an underestimation of the low frequency band noise with respect to tolerance levels during work.
In the present study, in order to estimate hearing risk, the damage criteria of 85 dBA for a maximum 8 h period advocated by the National Institute for Occupational Safety and Health (NIOSH) 11 was adapted with an exchange rate of 3 dB and using the A-weighting scale.
The water quality data are recorded and transferred to a weighting curve chart; the relative weights (Table 2) are preserved for each factor and scaled to obtain a numerical value of Q i, so that the range remains from 0 (very bad water quality) to 100 (excellent water quality).
Such methodological differences are analogous to the use of a GWR (The weighting is controlled by a weighting function) or a regression with a spatially auto correlated (error term) when choosing a regression model to study spatially referenced data.
The calibration curve was acquired by plotting the peak area ratio of Vam3 to IS (Y) against the corresponding nominal Vam3 concentration (X) by weighted least-squares linear regression (1/ X as a weighting factor).
Since the outcome in question is the binary worker decision to quit, modeled by the logit Eq. (14), a non-linear decomposition is used with a weighting method described by Yun (2004), Fairlie (2005), and Sinning et al. (2008).
Then a weighting-updated technique [11, 25] is proposed to further reduce the maximum group-delay error of the designed system, which constitutes the outer loop of the overall process while the iteration stated above makes up the inner loop.
For the LS design, an iterative quadratic optimization is used in the inner loop, while a weighting-updated technique is further applied to minimize the maximum group-delay error in the outer loop.
