Adaptive Estimation of Difficult-to-Measure Process Variables

Adaptive Estimation of Difficult-to-Measure Process Variables

There exist many problems regarding process control in the process industry since some of the important variables cannot be measured online. This problem can be significantly solved by estimating these difficult-tomeasure process variables. In doing so, the estimator is in fact an appropriate mathematical model of the process which, based on information about easy-to-measure process variables, ...

The Effect of Gauge Measurement Capability and Dependency Measure of Process Variables on the MCp

It has been proved that process capability indices provide very efficient measures of the capability of processes from many different perspectives. These indices have been widely used in the manufacturing industry for measuring process reproduction capability according to manufacturing specifications. In the past few years, univariate capability indices have been introduced and used to characte...

Prevention of Iodine Deficiency: Difficult to Implement, More Difficult to Sustain

Estimation of Spectral Measure of Stable Random Vectors

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Adaptive Similarity Measure Estimation for Interactive Multimedia Content Retrieval

In this paper, we investigate adaptive relevance feedback algorithms for interactive multimedia content personalization. In particular two interesting scenarios are examined. The first uses a weighted cross correlation similarity measure for ranking multimedia data. The second exploits concepts of functional analysis to model the similarity measure as a non-linear function, the type of which is...