Despite the application of advanced control technique to improve the performance of electro-hydraulic position control, Proportional Integral Derivative (PID) control scheme seems able to produce satisfactory result. PID is preferable in industrial applications because it is simple and robust. The main problem in its application is to tune the parameters to its optimum values. This study will l...

Noisy textures in images pose a particular problem to image compression as they are not well suited for decorrelation. Established image compression methods thus need to be driven at relatively high bit rates in order to achieve visually transparent compression of this type of signal. At the same time, it is an intuitive observation that pixel-wise exactness of the reconstruction of noisy textu...

Abstract The combination of in-situ collected data and statistical modelling techniques proved to be a promising approach in actual building energy performance assessments, such as heat loss coefficient (HLC) evaluation. In this study, based on datasets co-heating pseudo-random binary sequence heating tests portable site office, the three types models (i.e. multiple linear regression (MLR), aut...

In this research, the DCC model is estimated to calculate dynamic correlation series between crude oil price and growth of Industry and Mine sector during 1367:1-1392:4. Then, Macroeconomic variables which can explain the dynamic correlation are analyzed as variables of contagion. So, the import, as an effective and affected variable from crude oil price, is separated to real import of consumpt...

A new concept is developed to mathematically understand the dynamics of rainfall-runoff events in a barren catchment Jordan Rift Valley. Time series data rainfall and runoff have been acquired at an observation point catchment. Due extreme arid environment, water current as from ephemeral, are clearly distinguishable each other. Firstly, pair linear autoregressive models with exogenous input (A...

White-box cryptography aims to provide secure cryptographic primitives and implementations for the white-box attack model, which assumes that an adversary has full access implementation of algorithms. Real-world applications require highly efficient schemes, whereas existing proposals cannot meet this demand. In paper, we design a new block cipher based on addition/rotation/XOR (ARX) random max...

We present a methodology for generating probabilistic predictions for the Disturbance Storm Time (Dst) geomagnetic activity index. We focus on the One Step Ahead prediction task and use the OMNI hourly resolution data to build our models. Our proposed methodology is based on the technique of Gaussian Process Regression. Within this framework we develop two models; Gaussian Process Autoregressiv...

Gait event detection is important for diagnosis and evaluation. This is a challenging endeavor due to subjectivity, high amount of data, among other problems. ANFIS (Artificial Neural Fuzzy Inference Systems), ARX (Autoregressive Models with Exogenous Variables), OE (Output Error models), NARX (Nonlinear Autoregressive Models with Exogenous Variables) and models based on NN (neural networks) we...

In this paper we consider the nite sample properties of least squares identi cation in a stochastic framework The problem we pose is How many data points are required to guarantee with high probability that the expected value of the quadratic identi cation criterion is close to its empirical mean value The sample sizes are obtained using risk minimisation theory which provides uniform probabili...