The Mahalanobis Taguchi System is a diagnosis and forecasting method for multivariate data. Mahalanobis distance is a measure based on correlations between the variables and different patterns that can be identified and analyzed with respect to a base or reference group. The Mahalanobis Taguchi System is of interest because of its reported accuracy in forecasting small, correlated data sets. Th...

Data in a data warehouse is organized in a multidimensional model. This multidimensional model helps in faster query processing and efficient OLAP operations for data analysis and decision making. In this paper, we introduce a framework which proposes design methodologies to map the relational database into a multidimensional model. The process starts with first cleaning the relational database...

In this paper, we propose a differential evolution (DE) algorithm which aims to optimize a system whose parameters form a multidimensional array. Determination of the optimal demixing matrix in a blind signal separation problem can be considered as an example of this type of system. Since the DE algorithm performs only on column vectors, it can be used after the multidimensional array is transf...

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...

Object-based storage systems (OSS) have evolved from the traditionally unintelligent management to intelligent and selfmanaged schemes by delegating low-level management activities to storage devices, and providing new functionalities, such as greater scalability and dynamic reconfiguration. An object consists of data, user-accessible attributes and device-managed metadata, which is responsible...