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The European Society for New Methods in Agricultural Research (ESNA) is an international society originally established in Wageningen (The Netherlands) in 1969 with the aims of exchanging ideas and techniques to promote the advancement of agricultural sciences. The original scope - the co-ordination of research in the application of nuclear techniques in agriculture - has gradually changed and now the Society also covers aspects of environmental protection and the application of new methods and biotechnology in agricultural research. The Society organizes annual meetings in various European countries and the scientific programme is devoted to fundamental and applied issues from the above-mentioned areas. For more information see http://www.mendelu.cz/esna/. One of the 6 working groups, where current research is presented as oral papers or posters is Working Group 3 with the scientific topic SOIL PLANT RELATIONSHIPS, comprising soil science, plant nutrition (including microbial aspects), application of stable and radioactive isotope techniques, plant physiology, behaviour of pollutants in soil-plant system. Proceedings of Working Group 3 from the annual meetings since 2001 are published here. Present Chairmen of this working group are V. Licina and. G. Zibold. Professor Dr. V. Licina, University of Belgrade, Faculty of Agriculture, 11 080 Belgrade, Nemanjina 6, Serbia&Montenegro; E-mail: licina@agrifaculty.bg.ac.yu; Professor Dr. G. Zibold, University of Applied Sciences Fachhochschule Ravensburg-Weingarten, D 88241 Weingarten, Germany; E-mail: zibold@fh-weingarten.de
In this text, I will give an example of philosophy as transformative practice. What happens when we fully understand the limitations of our knowledge? How can we describe the transformative potential when we realize that we somehow, as Kant and Lyotard put it, find ourselves on an island of knowledge in the middle of no-knowledge? This is the issue raised by several contemporary philosophers, such as Wittgenstein, Adorno, or Merleau-Ponty.
In this report, we present a system architecture and technical infrastructure that allows for a seamless integration of a standard e-portfolio platform, suitable AI-based tool chains, and interactive dashboard applications for students and teachers. This is followed by a description of how the architecture's components interact in a typical analysis workflow. Furthermore, we examine the development of an integrated knowledge architecture for guiding the semantic analysis of e-portfolios considering two different knowledge resources. The proposed architecture is the first draft of an AI-supported e-portfolio analysis system to be used in real-life scenarios at the University of Education in Weingarten.
This report provides an in-depth analysis of the state-of-the-art research and technologies of e-portfolio analysis, and elicit the current situation and the needs of students and teachers in the context of e-portfolios in higher education. It summarizes the results of this problem and context analysis within the AISOP project and builds the foundation for developing a user-centred tool infrastructure for AI-based e-portfolio analysis.
Bicycle-drawn cargo trailers with an electric drive to enable the transportation of high cargo loads are used as part of the last-mile logistics. Depending on the load, the total mass of a trailer can vary between approx. 50 and 250 kg, potentially more than the mass of the towing bicycle. This can result in major changes in acceleration and braking behavior of the overall system. While existing systems are designed primarily to provide sufficient power, improvements are needed in the powertrain control system in terms of driver safety and comfort. Hence, we propose a novel prototype that allows measurement of the tensile force in the drawbar which can subsequently be used to design a superior control system. In this context, a sinusoidal force input from the cyclist to the trailer according to the cadence of the cyclist is observed. The novelty of this research is to analyze whether torque impulses of the cyclist can be reduced with the help of Model Predictive Control (MPC). In addition, the powertrain of the trailer is intended to support the braking process of the system with regenerative braking. In the context of this research, a first MPC controller design is carried out and analyzed with the help of a Hardware-in-the-Loop (HIL) approach where the microcontroller of the power electronics is included as hardware to ensure the vehicle dynamics control interacts properly with the lower-level field-oriented control. The battery and motor subsystems are simulated in a Typhoon HIL 604, which is supplemented by a vehicle dynamics model of the trailer that is integrated as a Functional Mock-Up Unit (FMU). First results indicate that the MPC longitudinal dynamics controller supports the driver during acceleration, attenuates the sinusoidal oscillations and reduces the force with which the trailer pushes the bicycle during braking.
Robotic grasping has been a prevailing problem ever since
humans began creating robots to execute human-like tasks. The problems
are usually due to the involvement of moving parts and sensors. Inaccuracy in sensor data usually leads to unexpected results. Researchers have
used a variety of sensors for improving manipulation tasks in robots.
We focus specifically on grasping unknown objects using mobile service
robots. An approach using convolutional neural networks to generate
grasp points in a scene using RGBD sensor data is proposed. Two convolutional neural networks that perform grasp detection in a top down
scenario are evaluated, enhanced and compared in a more general scenario. Experiments are performed in a simulated environment as well as
the real world. The results are used to understand how the difference in
sensor data can affect grasping and enhancements are made to overcome
these effects and to optimize the solution.
Robotic grasping has been a prevailing problem ever since humans began creating robots to execute human-like tasks. The problems are usually due to the involvement of moving parts and sensors. Inaccuracy in sensor data usually leads
to unexpected results. Researchers have used a variety of sensors for improving manipulation tasks in robots.
This thesis focuses specifically on grasping unknown objects using mobile service robots. An approach using convolutional neural networks to generate grasp points
in a scene using RGBD sensor data is proposed. Two neural networks that perform grasp detection in a top down scenario are evaluated, enhanced and compared in
a more general scenario. Experiments are performed in a simulated environmentas well as the real world.
The results are used to understand how difference in
sensor data can affect grasping and enhancements are made to overcome these effects and to optimize the solution.
This thesis is an improvement on the works of Douglas Morrison, Peter Corke and Jürgen Leitner in their work Closing the Loop for Robotic Grasping: A Real-time,
Generative Grasp Synthesis Approach and Fu-Jen Chu, Ruinian Xu and Patricio A. Vela in their work Real-world Multi-object, Multi-grasp Detection.
Battery electric vehicle (BEV) adoption and complex powertrains
pose new challenges to automotive industries, requiring
comprehensive testing and validation strategies for reliability and
safety. Hardware-in-the-loop (HIL) based real-time simulation is
important, with cooperative simulation (co-simulation) being an
effective way to verify system functionality across domains. Fault
injection testing (FIT) is crucial for standards like ISO 26262.
This study proposes a HIL-based real-time co-simulation
environment that enables fault injection tests in BEVs to allow
evaluation of their effects on the safety of the vehicle. A Typhoon
HIL system is used in combination with the IPG CarMaker
environment. A four-wheel drive BEV model is built, considering
high-fidelity electrical models of the powertrain components
(inverter, electric machine, traction battery) and the battery
management system (BMS). Additionally, it enables validation of
driving dynamics, routes and environmental influences and provides
a precise analysis of the effect of powertrain system faults on driving
behavior. A possible case for a fault injection is to introduce a shootthrough fault in the inverter. Through the co-simulation, it is possible
to analyze the effects on the powertrain and the vehicle dynamics in
different driving situations (e.g. snow). This work demonstrates that
co-simulation is a valuable tool for the development and validation of
BEVs, and presents specific fault cases introduced into the
powertrain and the resulting effects tested under different driving
conditions. In addition, the study discusses the system's limitations
and future possibilities such as controller hardware integration
(Controller-HIL) and autonomous driving system validation.
One of the great challenges facing Europe today is the fast integration of migrants into society and the labour
market. This is made even more challenging by the fact that a great number of migrants only have a low level of education. The EU-funded project Fast Track Integration in European Regions (FIER) allows European
project-partners from regions with a high influx of refugees to interconnect in order to develop, test and evaluate joint innovative measures and strategies for a sustainable and fast labour-market-integration.
Based on this background and as part of the FIER-project “Language training on the job (LaTJo)”, the Akademie
für wissenschaftliche Weiterbildung der Pädagogischen Hochschule Weingarten (AWW) has developed a training program for the position of “Mentor for Language Learning at the Workplace”. The training enables Germanspeaking
employees of the participating companies to assist
their new colleagues with their integration at the workplace, especially by mentoring them in the field of work-related language acquisition. Here the workplace serves as a valuable language-learning-space, and the job-related actions and activities as natural prompters for language mentoring. The training is presented in detail in this manual.
The requirement of air conditioning in modern passenger cars need to fullfill enviromental standards with respect to refrigerant concerning global warming potential and ozone depletion with flour chlor carbon hydrogen mixtures.
This leads to compromises with respect to energy onsumption and cost of components.
As an alternative to standard refrigeration cycles, an inexpensive direct air cooling process is presented and discussed with respect to performance.
The process is specially suited for electric vehicles or vehicles equipped with an electric boosting device (E-charger).