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Argentina substantially contributes to the global organic agriculture and food sector due to its large areas of organically managed agricultural land. However, most of the organic production is intended for export. Overall, food supply for the domestic organic market is hardly tapped. Based on this, we investigate the current importance of organic agriculture and food production as well as consumption attitudes and behavior within the country. The novelty of the study also lies in the observation, documentation and analysis of latest stakeholder‐driven developments towards organic agriculture and food. Furthermore, the publication allows the Argentinean organic market to be significantly more visible for the international audience.
A Stereo Active Vision Interface is introduced which detects frontal faces in real world environments and performs particular active control tasks dependent on changes in the visual field. Firstly, connected skin colour regions in the visual scene are detected by applying a radial scanline algorithm. Secondly, facial features are searched for in the most salient skin colour region while the blob is tracked by the camera system. The facial features are evaluated and, based on the obtained results and the current state of the system, particular actions are performed. The SAVI system is thought of as a smart user interface for teleconferencing, telemedicine, and distance learning. The system is designedas a Perception-Action-Cycle (PAC), processing sensory data ofdifferent kinds and qualities. Both the vision module and the head motion control module work at frame rate. Hence, the system is able to react instantaneously to changing conditions in the visual scene.
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.
The lattice Boltzmann method is a modern approach to simulate fluid flow. In its original formulation, it is restricted to regular grids, second-order discretizations, and a unity CFL number. This paper describes our new off-lattice Boltzmann solver NATriuM, an extensible and parallel C++ code to perform lattice Boltzmann simulations on irregular grids. NATriuM also allows high-order spatial discretizations and non-unity CFL numbers to be used. We demonstrate how these features can efficiently decrease the number of grid points required in a simulation and thus reduce the computational time, compared to the standard lattice Boltzmann method. We detail the implementation of a recently proposed semi-Lagrangian lattice Boltzmann method and prove its efficiency in comparisons to other state-of-the-art off-lattice Boltzmann schemes.
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.
Need for care and accordingly the prevalence of dementia is increasing rapidly. Information and communication technologies (ICT) may have the potential to support collaboration and cooperation between people with dementia and their caregivers and thus promote independency, wellbeing and quality of life of involved parties. In this context, the authors investigated the potential of an ICT-based videogame system to generate and facilitate social experiences of people with dementia and their caregivers. 26 people with dementia and their caregivers participated in a 16 month participatory design study. Results suggest that collaboration and cooperation among involved parties increased by using the system. Further, the study revealed positive and negative social experiences triggered by the videogame based system. This article will report on these results and provide implications that may support researchers to design similar systems with the potential to increase collaboration and cooperation among people with dementia and their caregivers.
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.
Die Freiheit in Forschung und Lehre ist zusammen mit der Wissenschaftsfreiheit eines der bürgerlichen Grundrechte in Deutschland. Aber die Forschungsfreiheit kann nicht grenzenlos sein. Industrie wie akademische Institute müssen ihre Entwicklungen dokumentieren. Nur so ist ein Stoff später für die Vermarktung zulassungsfähig und nur so lässt sich belegen, wer die Urheberrechte daran hat.
Zustandsregelung für ein Mikroflugsystem zur Ansteuerung vorgegebener Wegpunkte in Innenräumen
(2018)
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.
Almost unnoticed by the e-learning community, the underlying technology of the WWW is undergoing massive technological changes on all levels these days. In this paper we draw the attention to the emerging game changer and discuss the consequences for online learning. In our e-learning project "Work & Study", funded by the German Federal Ministry of Education and Research, we have experimented with several new technological approaches such as Mobile First, Responsive Design, Mobile Apps, Web Components, Client-side Components, Progressive Web Apps, Course Apps, e-books, and web sockets for real time collaboration and report about the results and consequences for online learning practice. The modular web is emerging where e-learning units are composed from and delivered by universally embeddable web components.
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.
Workflow Management
(2010)
Standard Software
(2010)
Sourcing
(2010)
Prozessarchitektur
(2010)
Prozessmodell
(2010)
Prozess
(2010)
Outsourcing
(2010)
