Many problems do not have one or more variables that determine quality characteristics. In these situations, as a solution method, profile is descibed by linking independent to the response variable. One of common assumptions in most monitoring schemes assumption residuals. Contravention this can lead misleading results control chart. On other hand, when data are contaminated, classical methods...

in many manufacturing processes, the quality of a product is characterized by a non-linear relationship between a dependent variable and one or more independent variables. using nonlinear regression for monitoring nonlinear profiles have been proposed in the literature of profile monitoring which is faced with two problems 1) the distribution of regression coefficients in small samples is unkno...

Genes with similar expression profiles are expected to be functionally related or co-regulated. In this direction, clustering microarray time-series data via pairwise alignment of piece-wise linear profiles has been recently introduced. We propose a k-means clustering approach based on a multiple alignment of natural cubic spline representations of gene expression profiles. The multiple alignme...

The control of kinetic profiles is among the most important problems in fusion reactor research. It is strongly related to a great number of other problems in fusion energy generation such as burn control, transport reduction, confinement time improvement, MHD instability avoidance and highor high-confinement operating modes access. We seek a controller which is able to make the kinetic profile...

The SHAAD model (Adaptable, Adaptive and Dynamic Hypermedia System) allows adapting the web content delivered to the user based on his/her preferences and characteristics, and the features and limitations of the device used to interact with the system. In this work we use CC/PP (Composite Capabilities/Preference Profiles) to describe the characteristics of devices and users’ preferences. Finall...

EMPs Extended morphological profiles EMPs Extended morphological profiles LDA Linear discriminant analysis LogDA Logarithmic discriminant analysis MLR Multinomial logistic regression MLRsubMRF Subspace-based multinomial logistic regression followed by Markov random fields MPs Morphological profiles MRFs Markov random fields PCA Principal component analysis QDA Quadratic discriminant analysis RH...