A new issue of this journal has just
been published. To see abstracts of the papers it contains (with links through
to the full papers) click here:
Selected
papers from the latest issue:
|
|
1.
|
Scatter-based
quantitative spectroscopic analysis of milk fat and total protein in the
region 400-1100 nm in the presence of fat globule size variability
Original Research
Article
Available online 27 February 2013 A. Bogomolov, A. Melenteva
Highlights
► Fat and
total protein in raw milk are accurately determined from Vis/SW-NIR spectra.
► The method is resistant against large variability of fat globule sizes. ►
PLS calibration is based on light multiple scatter by fat and protein
particles. ► Experimental design for milk component calibration based on
mixing standard samples. |
|
|
|
2.
|
Enhanced
batch process monitoring using just-in-time-learning based kernel partial
least squares Original Research Article
Available online 26 February 2013 Yi Hu, Hehe Ma, Hongbo Shi
Highlights
► An
enhanced process monitoring framework for batch processes is proposed ► The
new local method is better than conventional multiway and hierarchical
methods ► The proposed method can handle the problem of uneven-length phases
► We use a moving window strategy in order to satisfy the real-time
requirement ► Estimation of future values of the process variables is avoided |
|
|
|
3.
|
On
the selection of the weighting parameter value in Principal Covariates
Regression Original Research Article
Available online 24 February 2013 Marlies Vervloet, Katrijn Van Deun, Wim Van den Noortgate, Eva Ceulemans
Highlights
► PCovR is
an interesting method to deal with multicollinearity problems ► We integrated
simulation results from different domains on weighting in PCovR ► The derived
hypotheses on the importance of weighting are tested in simulations ► The
optimal weighting value depends on the number of predictors and amount of
error ► Weighting is only important when components differ in strength and
relevance |
|
No comments:
Post a Comment