in some statistical process control applications, the quality of the product is characterized by thecombination of both correlated variable and attributes quality characteristics. in this paper, we propose anovel control scheme based on the combination of two multi-layer perceptron neural networks forsimultaneous monitoring of mean vector as well as the covariance matrix in multivariate-attribu...

Data is the most valuable asset in any firm. As time passes, data expands at a breakneck speed. A major research issue extraction of meaningful information from complex and huge source. Clustering one methods. The basic K-Mean Parallel partition clustering algorithms work by picking random starting centroids. parallel methods are investigated this using two different datasets with sizes 10000 5...

The Cox-Ingersoll-Ross (CIR) interest rate model is used to model interest rates and interest rate derivatives. We study the term structure equation for single-factor models that predict non-negative interest rates. It is shown using finite difference techniques that if the boundary is attainable, then this boundary behaviour serves as a boundary condition and guarantees a uniqueness of solutio...

The issue of the mean signal level crossing rate for various probability density functions with primary relevance for optics is discussed based on a new analytical method. This method relies on a unique transformation that transforms the probability distribution under investigation into a normal probability distribution, for which the distribution of mean level crossings is known. In general, t...