in this paper, we proposed a data-hiding scheme based on run length matrix. in a previously proposed method, a technique based on texture classification was introduced where four statically features extracted from run length matrix; then best cover images are selected based on these features. using appropriate features for comparing images from undetectability viewpoint, guarantees, less detect...

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...

In recent years, some researches have been done on simultaneous monitoring of multivariate process mean vector and covariance matrix. However, the effect of measurement error, which exists in many practical applications, on the performance of these control charts is not well studied. In this paper, the effect of measurement error with linearly increasing variance on the performance of ELR contr...

For a precise texture classification and analysis, a run length matrix is constructed on the Local Binary pattern using fuzzy principles in the present paper. The proposed Run Length Matrix on Fuzzy LBP (RLM-FLBP) overcomes the disadvantages of the previous run length methods of texture classification that exist in the literature. LBP is a widely used tool for texture classification based on lo...

The FM-index is a succinct text index needing only O(Hkn) bits of space, where n is the text size and Hk is the kth order entropy of the text. FM-index assumes constant alphabet; it uses exponential space in the alphabet size, σ. In this paper we show how the same ideas can be used to obtain an index needing O(Hkn) bits of space, with the constant factor depending only logarithmically on σ. Our...

explicitly evaluable functions. For example, the M-ary error probability is expressed as a quadrature in Lindsey's equation (17), PE(M) = 1 [I-2 lrn Qi(h, $;) exp (-g) dz] z/d eeL s m =22/;;moe-(1+d)s~41-'2@3(1, 1 + M, s, sL) d.s, (5) where, following Lindsey, h2/2 has been replaced by L to simplify the notation. From the series form of @3, it is obvious that the integral gives an additional do...