This study aims to evaluate the performance of Soil and Water Assessment Tool (SWAT), a simple Auto-Regressive with eXogenous input (ARX) model, gene expression programming (GEP)-based model in one-day-ahead discharge prediction for upper Kentucky River Basin. Calibration models were carried out period 2002–2005 using daily flow at stream gauging station unaffected by regulation. Validation cal...

Experiments were performed to investigate perceptual contributions of static and dynamic features of vocal tract characteristics to talker individuality. An ARX (Autoregressive with exogenous input) speech production model was used to extract separately voice source and vocal tract parameters from a Japanese sentence, /aoiueoie/ ("Say blue top" in English). The Discrete Cosine Transform (DCT) w...

BACKGROUND Transcranial direct current stimulation (tDCS) has been shown to perturb both cortical neural activity and hemodynamics during (online) and after the stimulation, however mechanisms of these tDCS-induced online and after-effects are not known. Here, online resting-state spontaneous brain activation may be relevant to monitor tDCS neuromodulatory effects that can be measured using ele...

The novel Aristaless related homeobox gene, ARX, is widely expressed in the brain and is thought to play a key role in the regulation of brain development. Neurological phenotypes caused by ARX mutations have recently started to unfold. We describe a 72 year old man with X-linked mental retardation due to a 24 bp duplication mutation in exon 2 of the ARX gene. Cerebral MRI showed bilateral cyst...

Abstract High-cycle fatigue failures of fan blade systems due to vibrational loads are great concern in the design aeroengines, where energy dissipation by relative frictional motion dovetail joints provides main damping mitigate vibrations. The performance such a can be enhanced suitable coatings. However, analysis and coated joint roots gas turbine blades computationally expensive strong cont...

In this paper, the problem of estimating uncertainty regions for identified models is considered. A typical approach in this context is to resort to the asymptotic theory of Prediction Error Methods (PEM) for system identification, by means of which ellipsoidal uncertainty regions can be constructed for the uncertain parameters. We show that the uncertainty regions worked out through the asympt...

ARX designs are quite popular, but analysis of these schemes is hard because of their bit-level structure. This makes tasks such as building a differential characteristic very tedious. In this document, we present the result of our work in trying to help with analysis of ARX designs. We describe a toolkit to study ARX constructions, and present some preliminary results obtained with it. This is...

This study proposes a novel approach to identifying crack damage common to metallic structural elements under extreme cyclic loading. Using two piezoelectric pads surface mounted to a structural element, broadband signals can be used to locally excite the element using one pad and the corresponding system response measured with a second pad. An auto-regressive with exogenous input (ARX) system ...

Over the last two decades, the canonical variate analysis method for subspace system identification has been widely applied. A number of these applications have demonstrated near maximum likelihood accuracy of the adaptx CVA subspace algorithm in large samples with unknown feedback. The critical step in the algorithm is the use of an ARX model estimated by conditional maximum likelihood to remo...

Civil engineering structures are often subjected to multidirectional actions such as earthquake ground motion, which lead to complex structural responses. The contributions from the latter multidirectional actions to the response are highly coupled, leading to a MIMO system identification problem. Compared with single-input, multiple-output (SIMO) system identification, MIMO problems are more c...