For nonlinear thermal power plants whose dynamics vary with load demand, a load-dependent exponential ARX (Exp-ARX) model which can exactly describes the nonlinear properties of the plants is presented. The Exp-ARX model requires only off-line identification. Based on the model, a constrained multivariable generalized predictive control (CMGPC) strategy is designed and implemented in a simulati...

In this paper, we study linear cryptanalysis of the ARX structure by means of automatic search. To evaluate the security of ARX designs against linear cryptanalysis, it is crucial to find (round-reduced) linear trails with maximum correlation. We model the problem of finding optimal linear trails by the boolean satisfiability problem (SAT), translate the propagation of masks through ARX operati...

A novel time series analysis procedure is presented to localize damage sources in a mechanical system. An attempt is made to pinpoint the sources of nonlinear damage by solely analysing the vibration signatures recorded from a structure of interests. First, a linear prediction model, combining Auto-Regressive (AR) and Auto-Regressive with eXogenous inputs (ARX) techniques, is estimated using a ...

This paper presents an overview and recent advances in impedance-based structural health monitoring. The basic principle behind this technique is to apply high-frequency structural excitations (typically greater than 30kHz) through surface-bonded piezoelectric transducers, and measure the impedance of structures by monitoring the current and voltage applied to the piezoelectric transducers. Cha...

A major problem in image compression is the coding of noise and noisy texture in an image. In a classic image compression approach, a transparent representation of these components is only possible with a very high bit rate. However, a pixel exact representation is not necessary in order to achieve visually perceived transparency because the human viewer is not able to distinguish two noise sig...

Abstract. We present a new approach for iris recognition based on stochastic autoregressive models with exogenous input (ARX). Iris recognition is a method to identify persons, based on the analysis of the eye iris. A typical iris recognition system is composed of four phases: image acquisition and preprocessing, iris localization and extraction, iris features characterization, and comparison a...

The ARX-LF model interprets voiced speech as the an LF derivative glottal pulse exciting an all-pole vocal tract filter with an additional exogenous residual signal. It fully parameterizes the voice and has been shown to be useful for voice modification. Because time domain methods to determine the ARX-LF parameters from speech are very sensitive to the time placement of the analysis frame and ...

A novel time series analysis is presented to locate damage sources in a mechanical system, which is running in various operational environments. The source of damage is located by solely analyzing the acceleration time histories recorded from a structure of interest. First, a data normalization procedure is proposed. This procedure selects a reference signal that is ‘closest’ to a newly obtaine...

We have isolated a novel homeobox gene that is expressed in the vertebrate central nervous system and which shows striking similarity to the Drosophila al gene in the homeodomain (85% identity) and in a 17 amino acid-sequence near the carboxyl-terminus. This gene was designated Arx (aristaless related homeobox gene) in consideration of its structural similarity to the al gene. Arx was highly co...

Infantile spasms syndrome (ISS) is a catastrophic pediatric epilepsy with motor spasms, persistent seizures, mental retardation, and in some cases, autism. One of its monogenic causes is an insertion mutation [c.304ins (GCG)7] on the X chromosome, expanding the first polyalanine tract of the interneuron-specific transcription factor Aristaless-related homeobox (ARX) from 16 to 23 alanine codons...