Open Access

Ein praxisorientiertes Buch über traditionelle und moderne Führungskonzepte von der Antike bis heute. Mit vielen Beispielen und grafischen Darstellungen.

Derzeit besteht ein hoher Gestaltungs- und Regulierungsbedarf zur Ausgestaltung einer Connected Car Cloud. Dieser wurde nicht zuletzt durch den Bericht der Ethikkommission „Autonomes Fahren“ unterstrichen. Die anstehenden Entscheidungen haben auch weitreichende Implikationen auf die Privatheit der Fahrer und Mitfahrenden. Die Verbrauchersicht ist in der aktuellen Diskussion jedoch unterrepräsentiert, weshalb aktuell diskutierten Infrastrukturentscheidung hier aus Verbraucherperspektive sowie interessierter Drittparteien bezüglich der zu erwartenden Auswirkungen auf die Servicequalität und des Datenschutzes analysiert werden sollen.

Sinapine is the main secondary metabolite present in rapeseed pomace (RSP) with its concentration being dependent on rapeseed processing, growing conditions, extraction parameters and the country of origin. Here we report, the concentration of sinapine from an extract of defatted RSP harvested in the North East of Scotland. Using liquid chromatography tandem mass spectrometry, the most abundant phenolic compound in the RSP extract was, as expected, sinapine (109.1 mg/g RSP extract). Additionally, sinapic, caffeic, ferulic and syringic acids were identified (0.159–3.91 mg/g RSP extract). Sinapine together with the phenolics at the concentration present in the RSP extract, exhibited ≥50% activity relative to the extract in antioxidant assays. Furthermore, sinapine provided plasmid DNA (pBR322) protection, from 2,2′-azobis(2-amidinopropane) dihydrochloride and inhibited acetylcholinesterase activity by 85%. Molecular docking was utilised to explain the inhibitory activity. RSP can be an excellent source of bioactive compounds for pharmaceuticals, food additive and nutraceutical applications.

Entering the work envelope of an industrial robot can lead to severe injury from collisions with moving parts of the system. Conventional safety mechanisms therefore mostly restrict access to the robot using physical barriers such as walls and fences or non-contact protective devices including light curtains and laser scanners. As none of these mechanisms applies to human-robot-collaboration (HRC), a concept in which human and machine complement one another by working hand in hand, there is a rising need for safe and reliable detection of human body parts amidst background clutter. For this application camera-based systems are typically well suited. Still, safety concerns remain, owing to possible detection failures caused by environmental occlusion, extraneous light or other adverse imaging conditions. While ultrasonic proximity sensing can provide physical diversity to the system, it does not yet allow to reliably distinguish relevant objects from background objects.This work investigates a new approach to detecting relevant objects and human body parts based on acoustic holography. The approach is experimentally validated using a low-cost application-specific ultrasonic sensor system created from micro-electromechanical systems (MEMS). The presented results show that this system far outperforms conventional proximity sensors in terms of lateral imaging resolution and thus allows for more intelligent muting processes without compromising the safety of people working close to the robot. Based upon this work, a next step could be the development of a multimodal sensor systems to safeguard workers who collaborate with robots using the described ultrasonic sensor system.

This paper documents the reversal of pension privatization and the reforms that took place in the 1990s and 2000s in Poland. The report analyses the political economy of different reform proposals, and the characteristics of the new pension system, including laws enacted, coverage, benefit adequacy, financing and contribution rates, governance and social security administration, social dialogue, positive impacts and other key issues of Poland’s pension system.

In der Masterarbeit Zustandsregelung für ein Mikroflugsystem zur Ansteuerung vorgegebener Wegpunkte in Innenräumen wird die Entwicklung einer Positionsregelung für ein Mikroflugsystem vorgestellt. Damit ist es möglich, sowohl in einer bekannten als auch unbekannten Umgebung vorgegebene Wegpunkte automatisch anzusteuern. Die Lokalisation des Flugsystems findet mit interner Sensorik sowie mithilfe von zwei Laserscannern statt. Steht bereits eine Karte der Umgebung zur Verfügung, ist es möglich, einen Pfad zu einem vorgegebenen Zielpunkt zu berechnen und diesen Pfad automatisch abzufliegen.

The recent explosion of available audio-visual media is the new challenge for information retrieval research. Audio speech recognition systems translate spoken content to the text domain. There is a need for searching and indexing this data which possesses no logical structure. One possible way to structure it on a high level of abstraction is by finding topic boundaries. Two unsupervised topic segmentation methods were evaluated with real-world data in the course of this work. The first one, TSF, models topic shifts as fluctuations in the similarity function of the transcript. The second one, LCSeg, approaches topic changes as places with the least overlapping lexical chains. Only LCSeg performed close to a similar real-world corpus. Other reported results could not be outperformed. Topic analysis based on the repeated word usage models renders topic changes more ambiguous than expected. This issue has more impact on the segmentation quality than the state-of-the-art ASR word error rate. It could be concluded that it is advisable to develop topic segmentation algorithms with real-world data to avoid potential biases to artificial data. Unlike evaluated approaches based on word usage analysis, methods operating with local contexts can be expected to perform better through emulation of semantic dependencies.