The proposed method was derived from Chen’s Square Matrix Encoding for information hiding. Square Matrix Encoding is modified from Diamond Encoding by changing a diamond matrix to a square matrix. The image distortion is reduced when the secret data were embedded by using the square matrix. In order to further improve the security and reduce image distortion, this paper proposes a mechanism to ...

Purpose The purpose of this study is to propose a matrix framework understand the interdependencies domains and scales protein transition towards diets based on plants alternative sources proteins. Design/methodology/approach abductive research approach used in building framework, proposed illustrated using regional food system Central Finland as an example. Focus groups interviews were collect...

A multi-level version of the Characteristic Basis Function Method (CBFM) is presented for computing the input impedance matrix and radiation patterns of very large antenna arrays. Specifically, we consider the challenging problem of an electrically large subarray that is surrounded by (many) other disjoint subarrays, and solve this problem by employing a two-level Characteristic Basis Function ...

important parameters on apple drying process are investigated experimentally and modeled employing artificial neural network and neuro-taguchi's method. experimental results show that the apple drying curve stands in the falling rate period of drying. temperature is the most important parameter that has a more pronounced effect on drying rate than the other two parameters i.e. air velocity and ...

− This paper discusses the effect of residual components on type A uncertainties determined by multiple linear regression of quadrature homodyne output signals. Primary accelerometer calibrations employing the sineapproximation method allow the determination of the fit uncertainty through the covariance matrix. Frequency components that are not included in the regression model lead to increased...

The recently introduced family of natural evolution strategies (NES), a novel stochastic descent method employing the natural gradient, is providing a more principled alternative to the well-known covariance matrix adaptation evolution strategy (CMA-ES). Until now, NES could only be used for single-objective optimization. This paper extends the approach to the multi-objective case, by first der...

The algorithm for the transformation of Dependence Graphs, DGs, into Signal Flow Graphs, SFGs, during the design of Systolic Array Processors, SAPs, is presented. The transformation is a complex process, employing task scheduling, projection and the formation of recursive surfaces, i.e., hyperplanes corresponding to simultaneously executed processes during a common clock phase. A matrix method ...