A general perspective is provided on both on hypothesis testing and discriminative analyses, by which matrix-variate discriminative analyses are proposed based on the matrix normal distribution, featured by a bi-linear extension of Fisher linear discriminant analysis and a further extension to binary variables. Moreover, a general formulation is proposed for integrative hypothesis testing and f...

We give a spectral approach to prove a parametric rst-order Edgeworth expansion for bi-variate additive functionals of strongly ergodic Markov chains. In particular, given any V-geometrically ergodic Markov chain (X n) n∈IN whose distribution depends on a parameter θ, we prove that {ξ p (X n−1 , X n); p ∈ P, n ≥ 1} satises a uniform (in (θ, p)) rst-order Edge-worth expansion provided that {ξ p ...

This contribution presents a detailed nonlinear analysis of high-power oscillator that is inductively coupled to an external resonator for power transfer applications. The analytical formulation cubic nonlinearity enables the derivation maximum transferred and value coupling factor at which oscillation extinguished. Then, simple procedure obtain Class E from initial high efficiency presented. s...

The major part of the underlying idea is going to detect fire from upcoming smoke and shade color using convolutional neural network. detection followed by depend on direction vector analysis in this paper. Image processing available set data very vague ideation so order strengthen we are incorporating two main features that vector. For process will involve preprocessing through bi-variate hypo...

A general-purpose and useful mobility model must be able to describe complex movement dynamics, correlate movement dynamics with the nodes geographic position and be sufficiently generic to map the characteristics of the movement dynamics to general geographic regions. Moreover, it should also be possible to infer the mobility model parameters from empirical data and predict the location of any...

This paper proposes a hybrid multi-step-ahead forecasting model based on two stages to improve monthly pelagic fish-catch time-series modeling. In the first stage, the stationary wavelet transform is used to separate the raw time series into a high frequency (HF) component and a low frequency (LF) component, whereas the periodicities of each time series is obtained by using the Fourier power sp...

Microplane models have the advantage of describing damage-induced anisotropy, which is common in quasi-brittle materials such as concrete, a simple and straightforward way. Over past decades, various microplane been formulated to describe different loading cases phenomena concrete structures. They include pure damage plasticity based or combination these two approaches. In this work, first step...