Filtern
Erscheinungsjahr
Dokumenttyp
- Konferenzveröffentlichung (216) (entfernen)
Sprache
- Englisch (216) (entfernen)
Schlagworte
- Bionik (3)
- Gespenstschrecken (3)
- Haftorgan (3)
- adhesion (3)
- stick insects (3)
- Competency-Oriented Exams (2)
- Field measurement (2)
- Solar modules (2)
- 360° Panorama (1)
- AEM-Electrolysis (1)
- API 1130 (1)
- Air handling unit (1)
- Alternative Geschäftsmodelle (1)
- Artificial Intelligence (1)
- Assisted living technologies (1)
- Assistive robotics (1)
- Augmented Reality (1)
- Autonomous Agents (1)
- Bildverarbeitung (1)
- Biomimetics (1)
- CFD Simulation (1)
- COIL (1)
- CPM (1)
- Climate change (1)
- Constructive Alignment (1)
- Continuous Assessment (1)
- Continuous Queries (1)
- Crowdfunding (1)
- Current Pulses (1)
- Datalog (1)
- Deductive Databases (1)
- Deutschland / Technische Regeln für brennbare Flüssigkeiten (1)
- Distributed Software Development (1)
- Elastizitätsmodul (1)
- Electrodeposition (1)
- Erneuerbare Energien (1)
- Erweiterte Realität <Informatik> (1)
- Exams with Third-Party Applications (1)
- Fehlererkennung (1)
- Fehlerortung (1)
- Flat-Channel (1)
- Flipped Classroom (1)
- Formative Assessment (1)
- Future capacity needs (1)
- High Reynold Numer (1)
- Human-Robot Interaction (1)
- Human-centered computing (1)
- Hydraulic compression, Carbon Nano Fibers, PEM Fuel Cells, Catalyst utilization (1)
- Incremental Evaluation (1)
- Interactive Voting Systems (1)
- Intercultural Collaboration (1)
- Journalismus (1)
- Kalman filter (1)
- Kohlenstoff-Nanoröhre (1)
- Launcher (1)
- Leak detection (1)
- Leckerkennung (1)
- Leckortung (1)
- Lecksuchgerät (1)
- Lecküberwachung (1)
- Machine Learning (1)
- Maus (1)
- Mikrofotografie (1)
- Mixed Reality (1)
- Multi-Agent System (1)
- NeRF (1)
- Ni-Mo alloy Catalyst (1)
- Online Programming Exams (1)
- Online Supervision (1)
- PEM Electrolysis, Hydrogen, Hydraulic Compression, High Pressure (1)
- Peer Assessment (1)
- Peer Instruction (1)
- People with disabilities (1)
- Performance prediction (1)
- Physics-Informed Deep Learning (1)
- Polymer-Elektrolytmembran-Brennstoffzelle (1)
- Project-based Learning (1)
- Regeln der Technik (1)
- Rescue Robotics (1)
- Robot assistive drinking (1)
- Robot assistive eating (1)
- Robotik (1)
- Sinusoidal (1)
- Small UAVs (1)
- Smart Grid (1)
- Social Learning (1)
- Student Activation (1)
- TRFL (1)
- Temperature coefficients (1)
- Tetraplegie (1)
- Thermal Stress (1)
- Transformative Teaching (1)
- Update Propagation (1)
- Urban heat island (1)
- Visual Monocular SLAM (1)
- Young´s modulus (1)
- Zustandsmaschine (1)
- biomimicry (1)
- consent banner (1)
- cookie banner (1)
- cookies (1)
- human-centered design (1)
- hybrid sensor system (1)
- leak locating (1)
- leak monitoring (1)
- participatory design (1)
- privacy (1)
- risk management (1)
- sensor fusion (1)
- state machine (1)
- user acceptance (1)
- web measurement (1)
Institut
- Westfälisches Institut für Gesundheit (49)
- Institut für Internetsicherheit (45)
- Westfälisches Energieinstitut (24)
- Informatik und Kommunikation (21)
- Maschinenbau Bocholt (20)
- Elektrotechnik und angewandte Naturwissenschaften (19)
- Wirtschaft und Informationstechnik Bocholt (7)
- Institut für biologische und chemische Informatik (6)
- Fachbereiche (2)
- Institut Arbeit und Technik (2)
Membrane electrode assemblies (MEA) developed at the Westphalian Energy Institute for polymer electrolyte membrane fuel cells (PEMFC) are high tech systems containing various materials structured in nanoscale, at which electrochemical reactions occur on catalyst nano particle surfaces. For low reactance homogeneous compression of the MEA’s layers is necessary. A novel stack architecture for electrochemical cells, especially PEMFC as well as PEM electrolysers, has been developed according to achieve ideal cell operation conditions. Single cells of such a stack are inserted into flexible slots that are surrounded by hydraulic media. While operation the hydraulic media is pressurised which leads to an even compression and cooling of the stack’s cells. With this stack design it has been possible to construct a test facility for simultaneous characterisation of several MEA samples. As compression and temperature conditions of every single sample are equal, with the novel test system the effect of e.g. different electrode configurations can be investigated. Furthermore, the modular stack design leads to the development of hybrid energy applications combining fuel cells, electrolysers, batteries as well as metal hydride tanks in one system.
Cookie notices (or cookie banners) are a popular mechanism for websites to provide (European) Internet users a tool to choose which cookies the site may set. Banner implementations range from merely providing information that a site uses cookies over offering the choice to accepting or denying all cookies to allowing fine-grained control of cookie usage. Users frequently get annoyed by the banner’s pervasiveness as they interrupt “natural” browsing on the Web. As a remedy, different browser extensions have been developed to automate the interaction with cookie banners.
In this work, we perform a large-scale measurement study comparing the effectiveness of extensions for “cookie banner interaction.” We configured the extensions to express different privacy choices (e.g., accepting all cookies, accepting functional cookies, or rejecting all cookies) to understand their capabilities to execute a user’s preferences. The results show statistically significant differences in which cookies are set, how many of them are set, and which types are set—even for extensions that aim to implement the same cookie choice. Extensions for “cookie banner interaction” can effectively reduce the number of set cookies compared to no interaction with the banners. However, all extensions increase the tracking requests significantly except when rejecting all cookies.
The concept of “Internationalisation at Home“ has gained momentum with the increasing digitalization of education and limitations on mobility. Collaborative Online International Learning (COIL) is an innovative, cost-effective instructional method that promotes intercul-tural learning through online collaboration between faculty and students from different countries or locations. The benefits of using COIL courses have been widely recognized, with learners developing intercultural competencies, digital skills, international education experi-ence, and global awareness.
However, multicultural communication in project environments can be complex and demand awareness of cultural variations . The creation and development of effective cross-cultural collectivism, trust, communication, and empathy in leadership is an important ingredient for remote project collaborations success. This is an area that has been least explored in re-search on communication in virtual teams.
The GIPE projects are mainly carried out as so-called Collaborative Online International Learning (COIL) events. However, to gain a “real world“ experience abroad in an intercultural team, students from all partner universities can participate in the Spring School being held for two weeks in Germany and the Germany students present and hand-over the results in the country of the partner university. The main objective of this research was to examine the experiences of students participating in the GIPE project and to evaluate the effectiveness of the project in enhancing intercultural competencies and fostering collaboration among stu-dents from different continents. This paper will also explore the implications of the GIPE project for Education 2.0 considering the COVID-19 pandemic and the future of education delivery and administration transformation.
For this study gas diffusion electrodes (GDE) with low platinum loading are prepared for the application as anode in polymer electrolyte membrane fuel cell (PEMFC) systems based on hydraulic compression. As catalyst support material, carbon nanofibers (CNF) are investigated because of their high specific surface area and high graphitization degree. The electrode preparation is optimized by an economic and environmental friendly pre-treatment process in oxygen plasma. For GDE manufacture an ink containing oxygen plasma activated CNFs as well as hydrophilic polymer is used. After spray coating of this CNF ink on a graphitic substrate, platinum is deposited using the pulse plating technique. Preliminary results showed a considerable improvement of CNF dispersibility as well as an increased amount and an optimized morphology of the deposited platinum. Morphology and microstructure are observed by scanning electron microscopy as well as transmission electron microscopy. Platinum loading is determined by thermogravimetric analysis to be in the range of 0.01 mg cm-2 to 0.017 mg cm-2. Furthermore, MEAs are prepared from these GDEs and testing is performed in a novel modular fuel cell test stack based on hydraulic compression. Technical information about stack design and functions is given in this work.
A compact and efficient PEM electrolyser stack design based on hydraulic single cell compression
(2019)
Global registration of heterogeneous ground and aerial mapping data is a challenging task. This is especially difficult in disaster response scenarios when we have no prior information on the environment and cannot assume the regular order of man-made environments or meaningful semantic cues. In this work we extensively evaluate different approaches to globally register UGV generated 3D point-cloud data from LiDAR sensors with UAV generated point-cloud maps from vision sensors. The approaches are realizations of different selections for: a) local features: key-points or segments; b) descriptors: FPFH, SHOT, or ESF; and c) transformation estimations: RANSAC or FGR. Additionally, we compare the results against standard approaches like applying ICP after a good prior transformation has been given. The evaluation criteria include the distance which a UGV needs to travel to successfully localize, the registration error, and the computational cost. In this context, we report our findings on effectively performing the task on two new Search and Rescue datasets. Our results have the potential to help the community take informed decisions when registering point-cloud maps from ground robots to those from aerial robots.
This paper presents a novel approach to build consistent 3D maps for multi robot cooperation in USAR environments. The sensor streams from unmanned aerial vehicles (UAVs) and ground robots (UGV) are fused in one consistent map. The UAV camera data are used to generate 3D point clouds that are fused with the 3D point clouds generated by a rolling 2D laser scanner at the UGV. The registration method is based on the matching of corresponding planar segments that are extracted from the point clouds. Based on the registration, an approach for a globally optimized localization is presented. Apart from the structural information of the point clouds, it is important to mention that no further information is required for the localization. Two examples show the performance of the overall registration.