Linear time-invariant time-delay systems (LTI-TDS) constitute a widespread family of plants and systems, not only limited to industrial ones. They can be represented by Laplace transfer functions in the form of fractions of so-called quasipolynomials. Direct controller design for LTI-TDS based on such models is mostly rather intricate. Many approaches require a rational approximation of the tra...

Among the most important design issues to be addressed to optimize the generalization abilities of trained artiicial neural networks (ANNs) are the speciic architecture and the composition of the training data set (TDS). Recent work has focused on investigating each of these prerequisites separately. However, some researchers have pointed out the interacting dependencies of ANN topology and the...

Let (X, T ) be a topological dynamical system (TDS), and h(T, K) the topological entropy of a subset K of X . (X, T ) is lowerable if for each 0 ≤ h ≤ h(T, X) there is a non-empty compact subset with entropy h; is hereditarily lowerable if each non-empty compact subset is lowerable; is hereditarily uniformly lowerable if for each non-empty compact subset K and each 0 ≤ h ≤ h(T, K) there is a no...

The longitudinal relationship between attention deficit hyperactivity disorder (ADHD) and violent criminality has been extensively documented, while long-term effects of autism spectrum disorders (ASDs), tic disorders (TDs), and obsessive compulsive disorder (OCD) on criminality have been scarcely studied. Using population-based registers of all child and adolescent mental health services in St...

This paper suggests parameter estimation and error reduction scheme in a multicarrier transmission system. A multicarrier orthogonal frequency division multiplexing (OFDM) signal by using a time-domain spreading (TDS) coupled with a cyclic time shift enables a pilot-less synchronization. Exploiting the modified OFDM signal endowed with the TDS, the proposed synchronization receiver can accurate...

For supervised training of an artiicial neural network (ANN) the size and composition of the training data set (TDS) is one of the most important prerequisites for an ANN with good generalization abilities. The exisiting methods to construct training data sets (TDSs) vary from random sampling to incrementally increasing the number of samples in the TDS until a certain quality measure is reached...

The prevalence rate of trichuriasis in children in certain areas of Kelantan is high. However the Trichuris Dysentery Syndrome (TDS), a condition in children characterized by chronic diarrhoea, stunting and anaemia is said to be rare. A recent change in policy at our institution to lower the threshold for undertaking colonoscopy in children with chronic diarrhoea resulted in the detection of 6 ...

Two-point boundary value problems for a system of nonlinear first order ordinary differential equations are considered. It was shown in former papers of the authors that starting from the two-point exact difference scheme (EDS) one can derive a so-called truncated difference scheme (TDS) which possesses a prescribed order of accuracy O(|h|m) w.r.t. the maximal step size |h|. This m-TDS represen...

An analytic model, developed earlier for understanding the reduction kinetics of threading dislocations (TDs) in the heteroepitaxial growth of thin films, is considered here for the special case of selective area growth, wherein mesas of comparatively small lateral dimension are grown on a substrate. TD ensembles are treated in close analogy with chemical species in chemical reaction kinetics. ...