We study the power spectrum of eigen-angles random matrices drawn from circular unitary ensemble CUE(N) and show that it can be evaluated in terms either a Fredholm determinant, or Toeplitz sixth Painlevé function. In limit infinite-dimensional matrices, N??, we derive concise parameter-free formula for which involves fifth transcendent interpret Sine2 determinantal point field. Further, discus...

This paper covers the modal analysis application (MATLAB 2019a) for improving voltage profiles by optimum positioning of capacitor banks 6-bus Oman Electrical System because electricity TransmissionCompany (OETC) is suffering drop in these 6 buses especially during summer season as a peak period. The Newton-Raphson (N-R) method will help to determine required reactive power each load bus and we...

We present a new procedure for testing satisfiability (over the reals) of a conjunction of polynomial equations. There are three possible return values for our procedure: it either returns a model for the input formula, or it says that the input is unsatisfiable, or it fails because the applicability condition for the procedure, called the eigen-condition, is violated. For the class of constrai...

The singular value decomposition (SVD) is a generalization of the eigen-decomposition which can be used to analyze rectangular matrices (the eigen-decomposition is definedonly for squaredmatrices). By analogy with the eigen-decomposition, which decomposes a matrix into two simple matrices, the main idea of the SVD is to decompose a rectangular matrix into three simple matrices: Two orthogonal m...

Abstract An application of the Pose-detection using Range-image usually uses characteristic matching of the geometrical model but this method has two problems. 1 Picking for characteristic from Range-images is difficult. 2 It is difficult to make geometrical model for a complicated shape. Recently Parametric Eigen-space Method is proposed to Pose-detect approaching such as Eigen-face. This meth...

This paper a new biometric method for personal identification is been presented by iris identification of a person in lower dimensionality and reduced template size than the other previous approaches in 2D Eigen space, so that it can be use for verification in application areas . Here the iris images are expressed in lower dimension, re-tending its features by using covariance matrix and Eigen ...

This paper study to estimate a desired signals with linear array antenna in correlation system. This study is to estimate for desired direction of arrival among incidental signals on receive antenna system. We use an eigen vector and eigen value in order to correctly desired signals in correlation. We study optimum covariance matrix with eigen matrix. Through simulation, we show that compare th...

Numerous electric double layer models have been developed through the years to capture the complex electrode/electrolyte interface. In the present study, the Wicke-Eigen model of electric double layer is generalized to incorporate the asymmetric size of cations and anions. Analytical expressions for the spatial distribution of ions and water dipoles are derived. Asymmetric and symmetric Wicke-E...

A face recognition system using different local features with different distance measures is proposed in this paper. Proposed method is fast and gives accurate detection. Feature vector is based on Eigen values, Eigen vectors, and diagonal vectors of sub images. Images are partitioned into sub images to detect local features. Sub partitions are rearranged into vertically and horizontally matric...