In this paper, we consider the nonlinear system modelling problem for on-chip testing and diagnosis of embedded mixed-signal systems. A SituationDependent AutoRegressive model with eXogenous variable (SDARX) is introduced to approximate the conventional Nonlinear-ARX (NARX). The parameter search space is divided into a linear weight subspace and the nonlinear parameter subspace. A nonlinear par...

This paper presents a two-step method for identification of the SISO Hammerstein model, which employs input autocorrelation and input-output cross-correlation functions as data for least-squares estimation. Using separable processes as input signals, the proposed method allows the linear block of a Hammerstein model to be identified up to a multiplicative constant, without a priori knowledge of...

This paper presents steam temperature models for steam distillation pilot-scale (SDPS) by comparing Pseudo Random Binary Sequence (PRBS) versus Multi-Sine (M-Sine) perturbation signal Both perturbation signals were applied to nonlinear steam distillation system to study the capability of these input signals in exciting nonlinearity of system dynamics. In this work, both linear and nonlinear ARX...

A plastic nervous system requires the ability not only to acquire and store but also to forget. Here, we report that musashi (msi-1) is necessary for time-dependent memory loss in C. elegans. Tissue-specific rescue demonstrates that MSI-1 function is necessary in the AVA interneuron. Using RNA-binding protein immunoprecipitation (IP), we found that MSI-1 binds to mRNAs of three subunits of the ...

A pipe is a ubiquitous product in the industries that used to convey liquids, gases, or solids suspended liquid, e.g., slurry, from one location another. Both internal and external cracking can result structural failure of industrial piping system possibly decrease service life equipment. The chaos complexity associated with uncertain behaviour inherent pipeline systems lead difficulty detectio...

We introduce tuple cryptanalysis, a variant of structural cryptanalysis techniques as square, saturation, integral, internal collision, or multiset cryptanalysis, the main difference being that tuple cryptanalysis considers ordered rather than unordered multisets. This allows cryptanalysts to better trace structural properties within a cipher’s internal state. Unlike previous works that focus o...

Genetic investigations of X-linked mental retardation have demonstrated the implication of ARX in a wide spectrum of disorders extending from phenotypes with severe neuronal migration defects, such as lissencephaly, to mild or moderate forms of mental retardation without apparent brain abnormalities, but with associated features of dystonia and epilepsy. These investigations have in recent year...

TEA (Tiny Encryption Algorithm) is a block cipher with simple ARX (addition, rotation, exclusive-OR) based Feistel network, designed for both hardware and software scenario. Inspired by the auto search algorithm for ARX cipher introduced by Biryukov and Velichkov in 2014, we proposed an improved version of auto search algorithm for ARX cipher and verified in block cipher TEA. By introducing a s...

Nature-inspired metaheuristic algorithms have gained great attention over the last decade due to their potential for finding optimal solutions different optimization problems. In this study, a based on dwarf mongoose algorithm (DMOA) is presented parameter estimation of an autoregressive exogenous (ARX) model. DMOA, set candidate were stochastically created and improved using only one tuning pa...