Minimum Detect and avoid Well Clear (DWC) guidance provides the pilot with information on the directions in which DWC is predicted to be lost and how soon. Different guidance algorithms are analyzed for their ability to provide guidance after DWC is lost. Command and status-based concepts for guidance …

Factor analysis is a popular tool in multivariate statistics, applied in several areas of study such as psychology, economics, chemistry and signal processing. Given a set of observed random variables, factor analysis aims at explaining and analyzing the correlation between these random variables. This …

Dynamic time warping (DTW) is a distance measure to compare time series that exhibit similar patterns. In this paper, we will show how the warping path of the DTW algorithm can be interpreted, and a framework is proposed to extend the DTW algorithm. Using this framework, we will show how the dynamic …

The installation of facilities replicating the realworld condition is often required for carrying out meaningful tests on new devices and for collecting data with the aim to create realistic device model. However, these facilities require huge investments, as well as areas where they can be properly …

Background The world’s population is aging, and with aging population comes an increase of chronic diseases and multimorbidity. At the same time a shortfall of trained health care professionals is anticipated. This raises questions on how to provide the best possible care. The use of Information and …

While the majority of binaural beamformers aim to minimize the output noise power while (approximately) preserving the binaural cues of the sources using constraints, we propose in this paper to minimize the binaural-cue distortions of the sources in the acoustic scene, such that the output noise power …

Due to the growing availability of huge amounts of data of different types and the growing capabilities to analyze these data, the expectations of big data applications are high. In this paper, we argue that the usability of big data in the social domain is far from trivial. If the outcomes of big data …

For further development of technologies but also for the implementation in real life contexts, it is important to understand users' perspectives on the anticipated use of innovative technologies in an early development phase. In addition, it is also important to get a better understanding of the explanation …