The aim of the study is to develop a real-time eyeblink detection algorithm that can detect eyeblinks during the closing phase for a virtual reality headset (VR headset) and accordingly classify the eye’s current state (open or closed). The proposed method utilises analysis of a motion vector for detecting eyelid closure, and a Haar cascade classifier (HCC) for localising the eye in the captured frame. When the downward motion vector (DMV) is detected, a cross-correlation between the current region of interest (eye ...

Combining switching state optimization (SSO) and network expansion planning (NEP) in AC systems results in a mixed-integer non-linear optimization problem. Two methodically different solution approaches are mathematical programming and heuristic methods. In this paper, we develop a hybrid optimization method combining both methods to solve the combined optimization of SSO and NEP. The presented hybrid method applies a DC programming model as an initialization strategy to reduce the search space of the heuristic. A ...

Interference signals in coherence scanning interferometry at high numerical apertures and narrow bandwidth illumination are spectrally broadened. This enables phase analysis within a spectral range much wider than the spectral distribution of the light emitted by the light source. Consequently, different surface features can be resolved depending on the wavelength used for phase analysis of the interference signals. In addition, the surface topography itself affects the spectral composition of interference signals ...

Die Arbeit in Industrieunternehmen verändert sich auf Grund der Digitalisierung grundlegend. Entwicklungen in der Automatisierungstechnik können in naher Zukunft einen Teil der Arbeit von Arbeitnehmenden ersetzen. Dadurch wird es notwendig sein, sich auf die sich schnell wechselnden Qualifikationsanforderungen aus diesem Digitalisierungsprozess einzustellen. Hierzu gehört einerseits die schnelle Reaktionsfähigkeit auf die fortlaufenden Veränderungen, die in Unternehmen stattfinden, beispielsweise die Einbettung neuer ...

Der vorliegende Beitrag der Zeitschrift „Gruppe. Interaktion. Organisation. (GIO)“ untersucht die Relevanz von Vertrauen zwischen Führungskraft und Mitarbeiter im Kontext der Digitalisierung und kommt zu dem Ergebnis, dass Vertrauen in Zukunft noch bedeutsamer wird. Der Beitrag gelangt zu dieser Erkenntnis, indem er die psycho-sozialen Auswirkungen der Digitalisierung auf organisationaler Ebene identifiziert und systematisch die möglichen Wirkzusammenhänge zu Vertrauen analysiert. Die Analyse ergibt, dass sich die ...

Can machine learning effectively lower the effort necessary to extract important information from raw data for hydrological research questions? On the example of a typical water-management task, the extraction of direct runoff flood events from continuous hydrographs, we demonstrate how machine learning can be used to automate the application of expert knowledge to big data sets and extract the relevant information. In particular, we tested seven different algorithms to detect event beginning and end solely from a ...

The detection of differences or similarities in large numbers of scientific publications is an open problem in scientometric research. In this paper we therefore develop and apply a machine learning approach based on structural topic modelling in combination with cosine similarity and a linear regression framework in order to identify differences in dissertation titles written at East and West German universities before and after German reunification. German reunification and its surrounding time period is used because ...

Remote sensing (RS) has been an e ective tool to monitor agricultural production systems, but for vegetable crops, precision agriculture has received less interest to date. The objective of this study was to test the predictive performance of two types of RS data—crop height information derived from point clouds based on RGB UAV data, and reflectance information from terrestrial hyperspectral imagery—to predict fresh matter yield (FMY) for three vegetable crops (eggplant, tomato, and cabbage). The study was conducted ...