Aufgrund der Fortschritte im Bereich der künstlichen Intelligenz (KI) ergeben sich neue Gestaltungsmöglichkeiten zur Reorganisation von Wissensarbeit an der Schnittstelle von Menschen und Maschine. Durch die Verschmelzung von menschlicher und künstlicher Intelligenz können komplementäre Stärken zum Lösen von Arbeitsaufgaben gebündelt werden. Neuartige Wissensarbeitssysteme sind erforderlich, die Wissensarbeitende sowohl bei der Ausübung von Routineaufgaben als auch Nichtroutineaufgaben unterstützen. Der Schlagwortartikel ...

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 ...

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 ...

Digitales Lernen ist ein zentraler Bestandteil der heutigen Bildungslandschaft geworden. Insbesondere Lernvideos haben in den letzten Jahren deutlich an Popularität gewonnen und Plattformen wie YouTube sind heute ein fester Bestandteil von Lernprozessen. Bildungseinrichtungen haben diese Entwicklung erkannt und Lernvideos in ihre Lernsysteme integriert. Allerdings sind die heutigen Lernvideos oft nicht sehr ansprechend, weil es an Gestaltungswissen mangelt, wie Interaktionen und gamifizierte Elemente die Motivation ...

Catastrophic forgetting means that a trained neural network model gradually forgets the previously learned tasks when being retrained on new tasks. Overcoming the forgetting problem is a major problem in machine learning. Numerous continual learning algorithms are very successful in incremental learning of classification tasks, where new samples with their labels appear frequently. However, there is currently no research that addresses the catastrophic forgetting problem in regression tasks as far as we know. This ...

Pool-based active learning (AL) aims to optimize the annotation process (i.e., labeling) as the acquisition of annotations is often time-consuming and therefore expensive. For this purpose, an AL strategy queries annotations intelligently from annotators to train a high-performance classification model at a low annotation cost. Traditional AL strategies operate in an idealized framework. They assume a single, omniscient annotator who never gets tired and charges uniformly regardless of query difficulty. However, in ...

Social Machines sind ein Paradigma für die Gestaltung soziotechnischer Systeme, die unter Verwendung von Web- und Plattformlösungen das Potenzial digitaler Technologien mit der Eigenlogik sozialer Interaktion, Organisation und Strukturbildung auf neue Weise zusammenführen. Im Folgenden diskutieren wir das Paradigma der Social Machine aus den Perspektiven der Informatik, der Wirtschaftsinformatik, der Soziologie und des Rechts, um Orientierungspunkte für seine Gestaltung zu identifizieren. Der Begriff ist in der ...

Due to the ongoing trend towards a decarbonisation of energy use, the power system is expected to become the backbone of all energy sectors and thus the fundamental critical infrastructure. High penetration with distributed energy resources demands the coordination of a large number of prosumers, partly controlled by home energy management systems (HEMS), to be designed in such a way that the power system’s operational limits are not violated. On the grid level, distribution management systems (DMS) seek to keep the ...

The global Covid-19 pandemic has not only influenced the way we work and collaborate on our research but also how we present and exchange novel contributions at scientific conferences. Governmental lockdowns and (inter)-national travel restrictions have forced conference organizers to move from offline conference venues to virtual platforms quickly. Our discipline, the Business & Information Systems Engineering (BISE) community, is an interdisciplinary field involving the more conference-driven computer sciences and ...