Validierung von Smart-Wechselrichtern für die Leistungsferndiagnose von PV-Strängen
Kusch, Alexander ; Weiß, Marius; Daume, Darwin; Schönau, Maximilian; Schulze, Achim; Landes, Dieter; Hüttl, Bernd (2025)
Kusch, Alexander ; Weiß, Marius; Daume, Darwin; Schönau, Maximilian; Schulze, Achim...
Konferenzband der 8. RET.Con Nordhausen 2025.
Peer Reviewed
Die zunehmende Bedeutung der Photovoltaik für die deutsche Energieversorgung erfordert eine zuverlässige und effiziente Leistungsverifizierung, um mögliche Ertragseinbußen zu minimieren. Smart-Wechselrichter mit integrierten Ferndiagnosefunktionen bieten eine vielversprechende Lösung für die Überwachung und Optimierung des Anlagenbetriebs.
Dieser Beitrag stellt einen speziell entwickelten Messaufbau vor, der die Überprüfung der Messfähigkeit von Smart-Wechselrichtern ermöglicht, insbesondere in Hinblick auf die Messung von Strom-Spannungs-Kennlinien (IU-Kennlinien). Der Fokus der Untersuchung liegt auf der Analyse der Messunsicherheit gemessener Leistungsmaxima durch Referenzieren auf kalibrierte IU-Kennlinienschreiber.
Die durchgeführten Vergleichsmessungen liefern zufriedenstellende Ergebnisse und zeigen einen Trend zu geringen Messunsicherheiten für höhere Bestrahlungsstärken. Dies bestätigt das Potenzial von Smart-Wechselrichtern für die Leistungsüberwachung von Photovoltaikanlagen und unterstreicht den Nutzen für die Optimierung des Anlagenbetriebs.
Wie positiv bleiben?
Kohls, Niko (2025)
Real world federated learning with a knowledge distilled transformer for cardiac CT imaging
Tölle, Malte; Garthe, Philipp; Scherer, Clemens; Seliger, Jan; Leha, Andreas; Krüger, Nina; Simm, Stefan; Martin, Simon; Eble, Sebastian; Kelm, Halvar; Bednorz, Moritz; André, Florian; Bannas, Peter; Diller, Gerhard; Frey, Norbert; Groß, Stefan; Hennemuth, Anja; Kaderali, Lars; Meyer, Alexander; Nagel, Eike; Orwat, Stefan; Seiffert, Moritz; Friede, Tim; Seidler, Tim; Engelhardt, Sandy (2025)
Tölle, Malte; Garthe, Philipp; Scherer, Clemens; Seliger, Jan; Leha, Andreas...
NPJ digital medicine 8 (1), 88.
DOI: 10.1038/s41746-025-01434-3
Open Access Peer Reviewed
Federated learning is a renowned technique for utilizing decentralized data while preserving privacy. However, real-world applications often face challenges like partially labeled datasets, where only a few locations have certain expert annotations, leaving large portions of unlabeled data unused. Leveraging these could enhance transformer architectures’ ability in regimes with small and diversely annotated sets. We conduct the largest federated cardiac CT analysis to date (n = 8, 104) in a real-world setting across eight hospitals. Our two-step semi-supervised strategy distills knowledge from task-specific CNNs into a transformer. First, CNNs predict on unlabeled data per label type and then the transformer learns from these predictions with label-specific heads. This improves predictive accuracy and enables simultaneous learning of all partial labels across the federation, and outperforms UNet-based models in generalizability on downstream tasks. Code and model weights are made openly available for leveraging future cardiac CT analysis.
Die Basler Thesen – Hochschulen als Ressourcen für eine transformative Planungskultur
Tvrtkovic, Mario; Engel, Barbara (2025)
PLANERIN 1/2025; Wohin des Weges, Bau GB - Die Baugesetzbuch-Novelle und die Magie der Beschleunigung 2025 (1), 63-65.
Phagendisplay zur Selektion von therapeutisch wirksamen Peptiden
Funke, Susanne A. (2025)
Auf der Suche nach der Schönheit
Heinrich, Michael (2025)
Experteninterviews und Konzeptmitarbeit, Der Schmidt Max auf der Suche, Bayerisches Fernsehen/ ARD.
How do patient and practitioner characteristics influence empathy in healthcare? Protocol for a systematic review and meta-analysis
White, Cleo; Khunti , Kamlesh ; Gillies , Clare ; Meißner, Karin; Palipana , Dinesh ; Nockels , Keith ; Howick, J. (2025)
White, Cleo; Khunti , Kamlesh ; Gillies , Clare ; Meißner, Karin; Palipana , Dinesh ...
BMJ open 15 (2), e096269.
DOI: 10.1136/bmjopen-2024-096269
Open Access Peer Reviewed
Implementing education for sustainable development collaboratively, university-wide and by involving exter-nal partners - A case study
QiW.
Peer Reviewed
La Infirmita
Koppen, Gemma; Vollmer, Tanja C.; Kriener, Ulrike; Iovita, Claudia (2025)
Lesung aus den Werken von Gemma Koppen und Tanja C. Vollmer am Architekturmuseum der Pinakothek der Moderne, München.
Simulation of the biocide distribution in soil using PELMO coupled with COMLEAM
Kiefer, Nadine; Klein, Judith; Rohr, M; Noll, Matthias; Burkhart, Michael; Klein, Michael ; Kalkhof, Stefan (2025)
Kiefer, Nadine; Klein, Judith; Rohr, M; Noll, Matthias; Burkhart, Michael...
Environmental Science and Pollution Research (Springer Nature Link) Volume 32, 2425-2440.
DOI: 10.1007/s11356-024-35760-y
Open Access Peer Reviewed
Evaluation of Non-Invasive Hemoglobin Monitoring in Perioperative Patients: A Retrospective Study of the Rad-67TM (Masimo)
Helmer, Philipp; Steinisch, Andreas; Hottenrott, Sebastian; Schlesinger, Tobias; Sammeth, Michael; Meybohm, Patrick; Kranke, Peter (2025)
Helmer, Philipp; Steinisch, Andreas; Hottenrott, Sebastian; Schlesinger, Tobias...
Diagnostics 8 (15), 128.
DOI: 10.3390/diagnostics15020128
Open Access Peer Reviewed
Subjective task-load influences anthropomorphism during cooperative human and robot hand movements
Kaya, Mertcan; Kühnlenz, Kolja Ernst (2025)
at - Automatisierungstechnik 73 (1), 22-28.
Peer Reviewed
Die Bedeutung der Koniferen für die Erhaltung der Pilz-Artenvielfalt
Schulze, Ernst-Detlef ; Bouriaud, Oliver; Guenther, A; Tanunchai, Benjawan; Noll, Matthias; SChulze, Waltraud, X. (2025)
Schulze, Ernst-Detlef ; Bouriaud, Oliver; Guenther, A; Tanunchai, Benjawan...
Allgemeine Forstzeitung 2025 (1), 44 | 41-44.
Facade eluates affect active and total soil microbiome
Reiß, Fabienne; Kiefer, Nadine; Reiß, Pascal; Kalkhof, Stefan; Noll, Matthias (2025)
Environmental Pollution (Science Direct) Volume 364 (125242), 1.
DOI: 10.1016/j.envpol.2024.125242
Peer Reviewed
Assessing the impact of moisture buffering properties of materials on indoor environmental quality: A study on a recycled material plaster
Larcher, Marco; Leonardi, Eleonora; Troi, Alexandra; Stefani, Anna; Nerobutto, Gianni; Herrera-Avellanosa, Daniel (2025)
Larcher, Marco; Leonardi, Eleonora; Troi, Alexandra; Stefani, Anna; Nerobutto, Gianni...
Building and Environment 267, 112170.
DOI: 10.1016/j.buildenv.2024.112170
Open Access Peer Reviewed
This study examines Moisture Buffer Value (MBV) of interior finishing layers, which impacts buildings internal relative humidity, thus indoor environmental quality. The MBV depends on material’s moisture capacity and vapour diffusion resistance factor, both of which depends on relative humidity. The paper aims to (i) characterize a new recycled material plaster that includes construction and food industry waste through laboratory measurements, (ii) use dynamical building simulations to quantify the impact of the MBV of existing and the new interior plaster on relative humidity in real design scenarios, and (iii) evaluate how changing the definition of the MBV to consider its dependence on indoor air relative humidity can improve its accuracy. Results show that the plaster’s moisture buffering properties significantly reduce the variations of the relative humidity of interior climates compared to a vapour-tight finishing layer. The performances of the new plaster made with recycled materials are comparable to those of the other plasters. The new MBV definitions (“Dynamical MBV″ and “Summer/Winter MBV”) show a significantly improved correlation with the relative humidity variations of indoor climates of buildings, observed in dynamic simulations, with respect to the typically used practical MBV. The new definitions are therefore promising for practical applications.
Gratitude and sleep disturbance in primary care patients: the mediating roles of health self-efficacy, health behaviors, and psychological distress
Altier, H.; Hirsch, J; Weber, A; Kohls, Niko; Schelling, J.; Toussaint, L; Sirois, F; Offenbächer, M. (2025)
Altier, H.; Hirsch, J; Weber, A; Kohls, Niko; Schelling, J.; Toussaint, L; Sirois, F...
Frontiers in Sleep 4, 1459854.
DOI: 10.3389/frsle.2025.1459854
An interactive approach to extrinsically calibrate 3D LiDAR and monocular camera using open source toolchain
Paracha, Abdul Haq Azeem; Brückner, Christoph; Arbeiter, Georg; Paracha, Abdul Haq Azeem; Patiño Studencki, Lucila (2025)
Paracha, Abdul Haq Azeem; Brückner, Christoph; Arbeiter, Georg...
2025 IEEE International Conference on Simulation, Modeling, and Programming for Autonomous Robots (SIMPAR).
DOI: 10.1109/SIMPAR62925.2025.10978990
Peer Reviewed
Real-time meshlet decompression
Kuth, Bastian; Oberberger, Max; Kawala , Felix ; Reitter, Sander; Michel, Sebastian; Chajdas, Matthäus; Meyer, Quirin (2025)
Kuth, Bastian; Oberberger, Max; Kawala , Felix ; Reitter, Sander; Michel, Sebastian...
Computers & Graphics, 104292.
DOI: 10.1016/j.cag.2025.104292
Peer Reviewed
We propose a codec specifically designed for meshlet compression, optimized for rapid data-parallel GPU decompression within a mesh shader. Our compression strategy orders triangles in optimal generalized triangle strips (GTSs), which we generate by formulating the creation as a mixed integer linear program (MILP). Our method achieves index buffer compression rates of 16:1 compared to the vertex pipeline and crack-free vertex attribute quantization based on user preference. The 15.5 million triangles of our teaser image decompress and render in 0.59 ms on an AMD Radeon RX 7900 XTX.
Requirements for Machine Learning Process Software Tooling
Leidner, Jochen L.; Reiche, Michael (2024)
Development Methodologies for Big Data Analytics Systems.
Peer Reviewed
A number of machine learning process models (SEMMA, KDD, CRISP-DM, CRISP-ML, Data-to-Value1 etc.) have been recently proposed to facilitate the development of machine learning models in their organizational context. While the existing proposals vary with respect to complexity and suitability for particular tasks, it would be desirable to have software tools that embody or support these process models, and make it easier for project teams to capture, share among team members and stakeholders and preserve the relevant project information pertaining to the various process stages. In particular, recorded past statistics may be applied to predict the duration of stages or the overall project effort.
Presently, to the best of our knowledge, no requirement analysis exists that stipulates the detailed needs. To this end, we present a first collection and analysis of a requirements document for the software tooling for machine learning process models. We describe the functional and non-functional requirements of a Computer-Aided Machine Learning Modeling (CAMLM) tool, the soft-computing world’s counter-part to a CASE (Computer Aided Software Engineering) tool.
Various software cover sub-areas such as team management and communication management (Confluence, Jira, Slack, Zoom...) or project management (CRISP-DM, Scrum, Kanban-Board...) or data and information management (model management [Weber, Christian; Hirmer, Pascal; Reimann, Peter; Schwarz, Holger (2019): A New Process Model for the Comprehensive Management of Machine Learning Models. In: Proceedings of the 21st International Conference on Enterprise Information Systems: SCITEPRESS - Science and Technology Publications.] ). What is not available to our knowledge, however, is software that covers the entire sub-areas and the entire life cycle of machine learning projects in detail.
Reliability of continuous vital sign monitoring in post-operative patients employing consumer-grade fitness trackers: A randomised pilot trial
Helmer, Philipp; Hottenrott, Sebastian; Wienböker, Kathrin; Pryss, Rüdiger; Drosos, Vasileios; Seitz, Anna Katharina; Röder, Daniel; Jovanoviç, Aleksandar; Kranke, Peter; Meybohm, Patrick; Winkler, Bernd E (2024)
Helmer, Philipp; Hottenrott, Sebastian; Wienböker, Kathrin; Pryss, Rüdiger...
eCollection 2024 Jan-Dec (10), 20552076241254026.
DOI: 10.1177/20552076241254026
Open Access Peer Reviewed
Referat Forschungs- und Drittmittelservice (FDS)
Hochschule Coburg
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Ansprechperson für Publikationsverzeichnis:
Monika SchnabelForschungsreferentin, EU-Referentin
T +49 9561 317 8062
monika.schnabel[at]hs-coburg.de