In the last few years, Run-to-Run (R2R) control techniques have been developed and used to control various processes in industries. These techniques combine response surface, statistical process control, and feedback control techniques. The R2R controller consists of a linear regression model that relates input variables to output variables using Exponentially Weighted Moving Average (EWMA). In...

What is a statistical method and how can it be used in natural language processing (NLP)? In this paper, we start from a definition of NLP as concerned with the design and implementation of effective natural language input and output components for computational systems. We distinguish three kinds of methods that are relevant to this enterprise: application methods, acquisition methods, and eva...

Many high dimensional data sets such as imaging mass spectrometry (IMS) and functional magnetic resonance imaging (fMRI) data are of the hyper-spectral imaging (HSI) type. Advanced mathematical tools and statistical techniques not only provide significance analysis of experimental data sets but also can help in finding new data features/patterns, guiding biological experiments designs, as well ...

Workshop on Gröbner Bases in Control Theory and Signal Processing May 18 19, 2006 Linz, Austria Special Semester on Gröbner bases and Related Methods 2006 Chairman: Hyungju Park • Hirokazu Anai, Sum of roots with positive real part in system and control theory • N.K. Bose, Two decades (1985-2005) of Gröbner bases in multidimensional systems • Jerome Lebrun, Normal form methods in statistical si...

The study is an analysis of processing methods, marketing channels, and profitability determinants of selected cassava products in Kogi state, Nigeria. The study was carried out in Kogi East senatorial District of the state. A multi-stage sampling technique was employed in the selection of 120 respondents from whom information were collected and analyzed. The data used for the study were collec...

introduction one of the most important pre-processing steps in optical coherence tomography (oct) is reducing speckle noise, resulting from multiple scattering of tissues, which degrades the quality of oct images. materials and methods the present study focused on speckle noise reduction and edge detection techniques. statistical filters with different masks and noise variances were applied on ...