Additive manufacturing (AM) offers the possibility to produce components in a resource-efficient and environmentally friendly way. AM can also be used optimise design of mechanical physical terms. In this way, functionally integrated, lightweight, highly efficient, innovative manufactured with help additive terms Industry 4.0. Furthermore, requirements automotive industry for drivetrain are inc...

This paper describes several classical constructions of thin bases of finite order in additive number theory, and, in particular, gives a complete presentation of a beautiful construction of J. W. S. Cassels of a class of polynomially asymptotic bases. Some open problems are also discussed. 1. Additive bases of finite order The fundamental object in additive number theory is the sumset. If h ≥ ...

Abstract—The aim of this paper is to select the most accurate forecasting method for predicting the future values of the unemployment rate in selected European countries. In order to do so, several forecasting techniques adequate for forecasting time series with trend component, were selected, namely: double exponential smoothing (also known as Holt`s method) and Holt-Winters` method which acco...

The problem of trend estimation in econometrics has had a long history, and the techniques which can be deployed have been evolving gradually over many years. The forces of evolution have been twofold. On one hand is the gradual improvement in statistical and computational techniques which has been accompanied by improvements in the processing power of computers and in the accessibility of soft...

Causal inference uses observations to infer the causal structure of the data generating system. We study a class of functional models that we call Time Series Models with Independent Noise (TiMINo). These models require independent residual time series, whereas traditional methods like Granger causality exploit the variance of residuals. There are two main contributions: (1) Theoretical: By res...

A desirable property of an autocovariance estimator is to be robust to the presence of additive outliers. It is well-known that the sample autocovariance, being based on moments, does not have this property. Hence, the use of an autocovariance estimator which is robust to additive outliers can be very useful for time-series modeling. In this paper, the asymptotic properties of the robust scale ...

Almost all speech contains simultaneous contributions from more than one acoustic source within the speaker’s vocal tract. In this paper, we propose a method—the pitch-scaled harmonic filter (PSHF)—which aims to separate the voiced and turbulence-noise components of the speech signal during phonation, based on a maximum likelihood approach. The PSHF outputs periodic and aperiodic components tha...

Epigenetic modifications may play an important role in the formation and progression of complex diseases through the regulation of gene expression. The systematic identification of epigenetic variants that contribute to human diseases can be made possible using genome-wide association studies (GWAS), although epigenetic effects are currently not included in commonly used case-control designs fo...