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In this paper, an indirect pipeline corrosion monitoring method based on the circumferential strain measurement is firstly proposed, with main objectives at designing a circumferential strain measuring device.
The proposed monitoring method based on DKPCA is applied to a simulated nonlinear process and a wastewater treatment process.
In conclusion, we introduced a new high resolution volumetric temperature monitoring method based on real-time acquisition of three-dimensional optoacoustic data coupled with thermal-diffusion-based model of heat distribution in tissues.
A new monitoring method based on kernel entropy component analysis KECA) is proposed for nonlinear chemical process.
Finally, a novel monitoring method based on the vibrations of the sample has been found successful to understand the type of crack formation appearing while cutting CMCs.
A vibration monitoring method based on a subspace residual and X2-type global and sensitivity tests has been proposed by some of the authors.
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While the time-driven layers of the proposed architecture encompass more traditional process monitoring methods based on time series data and analysis, the event-driven layers encompass operation monitoring methods based on discrete event data and analysis.
These observations suggest that although monitoring methods based on reduction in ALP activity levels would allow detection of resistance to Bt toxins, it may need to be combined with additional biomarkers to assure accurate detection of resistance.
Most multivariate statistical monitoring methods based on principal component analysis (PCA) assume implicitly that the observations at one time are statistically independent of observations at past time and the latent variables follow a Gaussian distribution.
Herein, detailed protocols for autophagy monitoring methods based on flow cytometry are provided using the GFP-LC3-overexpressing CHO DG44 host cell line or MDC-like molecules in rCHO cells grown as an adherent culture with serum-containing medium or suspension culture with serum-free medium.
Classical analytical monitoring methods, based on cultivation and microscopic identification, depend on the growth of the fungi.
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