Publikationen HS Coburg

Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30 - October 4, 2023, Proceedings, Part I

Nowaczyk, Slawomir; Biecek, Przemyslaw; Chung, Neo Christopher; Vallati, Mauro...

Communications in Computer and Information Science (CCIS) 1947.

Peer Reviewed

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Language-Model Assisted Learning How to Program?

Leidner, Jochen L.; Reiche, Michael (2023)

Workshop on AI for AI Learning Held at ECAI 2023, Kakow, Poland, September 30, 2023.

Peer Reviewed

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Bridging the Programming Skill Gap with ChatGPT: A Machine Learning Project with Business Students

Reiche, Michael; Leidner, Jochen L. (2023)

Workshop on AI for AI Learning Held at ECAI 2023, Kakow, Poland, September 30, 2023.

Peer Reviewed

Topic Segmentation of Educational Video Lectures Using Audio and Text

Dimitsas, Markos; Leidner, Jochen L. (2023)

Workshop on AI for AI Learning Held at ECAI 2023, Kakow, Poland, September 30, 2023.

Peer Reviewed

Case Study: Delta Wing at Low Subsonic Speed

Epple, Philipp (2023)

https://www.ansys.com/academic/educators/education-resources/case-study-delta-wing-at-low-subsonic-speed.

Open Access

Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30 - October 4, 2023, Proceedings, Part II

Nowaczyk, Slawomir; Biecek, Przemyslaw; Chung, Neo Christopher; Vallati, Mauro...

Communications in Computer and Information Science (CCIS) 1948.
DOI: 10.1007/978-3-031-56066-8_22

Peer Reviewed

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Komplexe politische, wirtschaftliche und klimatische Krisen solidarisch und kollektiv bearbeiten – am Beispiel von Mosambik (mit Tanja Kleibl)

Lohrenscheit , Claudia (2023)

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Treatment of Long/Post-COVID with Traditional Chinese Medicine (TCM) –a cross-sectional survey of TCM physicians

Hardy, Anne; Kraft, Jana; Baustädter, Verena; Bögel-Witt, Martina; Krassnig, Katharina...

Poster auf 20. Internationalem TAO Kongress 2023, Graz, Österreich.

Peer Reviewed

Strategien gegen Rechtsextremismus

Lohrenscheit , Claudia (2023)

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Tackling Learning Obstacles in Learning Videos by Thematic Ad-hoc Recom-mendations

Lehmann, Alexander; Landes, Dieter (2023)

Proc. 26th International Conference on Interactive Collaborative Learning / 52nd Int. Conf. on Engineering Pedagogy (ICL2023), 1499-1506.

Peer Reviewed

ABSTRACT

Learning videos enjoy great popularity in a digitalized world, especially since their use is usually possible regardless of time and location. Learners use this advantage mainly in self-study. Supervision, as for example in classroom teaching, is rather difficult and learners are usually left to their own devices when learning obstacles arise. However, not treating learning obstacles can have serious consequences, ranging from a gradual loss of the learners’ motivation to the termination of the learning project. Consequently, learning obstacles must be identified and treated in order to support an efficient learning process. Fortunately, a digital learning environment opens up many opportunities to support learners automatically. This paper explains an approach to identify potential learning obstacles in video learning based on indirect feedback. The first part of the approach to removing learning obstacles in learning videos is based on an analysis of learners' click interaction within a video to identify potential problem areas. Building on this, the second part provides first thematically relevant ad hoc video recommendations for the potentially identified learning obstacle. In order to verify whether there is actually a learning obstacle, the third part explicitly induces learners to give indirect or direct feedback on whether the recommendations have helped them and, consequently, whether they have removed an actual learning obstacle.

Simulation of Communication Network Latency Effects on Vehicle Teleoperation

Brückner, Christoph; Patiño Studencki, Lucila; Nan, Tianxiang ; Bueyuekoglu, Atakan ...

2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC) 2023.
DOI: 10.1109/ITSC57777.2023.10422699

Peer Reviewed

ABSTRACT

Teleoperation is a fundamental feature for the development of autonomous vehicles. Not only offers it the possibility of an efficient fallback solution for emerging situations that the autonomous vehicle cannot resolve itself but also it potentially offers new business models for transportation service providers. Fundamental to these considerations, however, is the performance of the communication network and the resulting parameters such as latency and bandwidth. These quantities have a critical impact on the ability of a human to perceive the environment, assess the situation and remotely control the vehicle safely and reliably. In this paper, a framework for simulating and evaluating the impact of network parameters on the performance of a remote human driver is presented. Using an example scenario of a shuttle bus route, the effects of latency for the teleoperation use case is evaluated. The local network and the impact on the human driver are modeled in SUMO (Simulation of Urban MObility) and OMNEST. The latency network simulation is validated against real measurement data. The car-following model Extended Intelligent Driver Model (EIDM) and its human driver model are extended so that latency effects can be quantified. The proposed approach has multiple advantages, on the one hand, it allows to evaluate the network suitability for the teleoperation use case. On the other hand, it limit the number of variables to be evaluated in e.g. user studies.

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Improving IV Curve Classification by Machine Learning Methods Using Deep Autoencoders

Schönau, Maximilian; Hüttl, Bernd; Landes, Dieter (2023)

Proceedings of 40th European Photovoltaic Solar Energy Conference 2023.

ABSTRACT

On-site current-voltage (IV) measurements will play an essential role in the online monitoring of PV systems. However, challenging measurement conditions like inconsistent irradiance levels on PV arrays (e.g., due to local shading) can distort IV curves, leading to inaccurate characterizations. By accurately detecting deformed IV curves, the reliability of both on-site and remote IV measurements is significantly enhanced. For this purpose, several classifiers were evaluated using 4104 manually labeled IV measurements on a mc-Si-PV array. Machine learning tech-niques perform much better than a traditional rule-based filter, with accuracy above 99 %. A deep Autoencoder was employed to reduce IV measurements into a set of 7 features, which encoded the shape of the curves into a low dimen-sionality. The IV-Autoencoder improved the classification of IV curves, yielding better results than a feature reduction with Principal Component Analysis. The proposed classifiers are able to sort out on-site IV measurements under un-satisfactory environmental conditions, benefiting the online monitoring of PV systems. It may also be used as an indi-cator for faulty PV strings.

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Vom Scheitern und Gelingen kultureller Teilhabe in der Lehre – eine kritische Reflexion zweier Hochschullehrveranstaltungen im Bachelor Soziale Arbeit mit dem Inhalt und Ziel der kulturellen Teilhabe

Gross, Hellen (2023)

Vortrag auf der Jahrestagung des Fachverbands für Kulturmanagementforschung e.V. in Berlin.

Open Access Peer Reviewed

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Impact 23 – Eine Lehr-Lern-Festivalwoche zur Förderung nachhaltigen Denkens und Handelns: Anspruch und Wirklichkeit

Esslinger, Adelheid Susanne; Schadt, Christian (2023)

Zeitschrift für Hochschulentwicklung Ausgabe 18 (4), 1-24.

Open Access Peer Reviewed

ABSTRACT

Hochschulen sind engagierte Demonstratorinnen der Transformation (HRK, 2018). Im Sinne des Whole Institution Approach nachhaltigen Handelns an Hochschulen müssen sie in der Lehre innovative Lehr-Lern-Arrangements erarbeiten, um Zukunftsgestalter:innen auszubilden. Die Formate dienen neben der Sensibilisierung für transformatives Handeln auch der Wissensvermittlung und dem Fördern praktischen Handelns. In einem Lehr-Lern-Festival („Impact 23“) an der Hochschule Coburg erarbeiteten entsprechend Studierende praktische Lösungen für regionale Auftraggeber:innen, um den Herausforderungen der Transformation zu begegnen. Der folgende Beitrag schildert die Erfahrungen aus „Impact 23“ und leitet vielfältige Handlungsempfehlungen für die Hochschullehre ab.

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Quantification of Moisture in Masonry via AI Evaluated Broadband Radar Reflectometry

Frenzel, Daniel; Blaschke, Oliver; Franzen, Christoph; Brand, Felix; Haas, Franziska...

Vortrag: Salt Weathering of Buildings and Stone Sculptures Asia 2023, 195-206.

Neue Therapieoptionen für die Alzheimer-Demenz?

Funke, Susanne A. (2023)

Demenzabend im Rahmen des TAO-Themenjahres 2023 - Gesundheit / Alte Kühlhalle Coburg .

Neu trifft auf Alt. Praktischer Kurs zur Integration von innovativer Photovoltaik beim Streumarkt "Zu Gast in Stilfs".

Troi, Alexandra; Bottino-Leone, Dario; Del Buono, Matteo; Pelle, Martina (2023)

ABSTRACT

Farbige Photovoltaik mit und ohne strukturierte Oberflächen bietet ganz neue Möglichkeiten der Integration in Situationen, in denen man anderenfalls aus gestalterischen oder anderen Gründen davon absehen würde.
Ein Beispiel? Stilfs hat als Dorf eine sehr differenzierte Dachlandschaft – und dank seiner Steilheit sind die Dächer gut erreichbar für die temporäre Einrichtung von Photovoltaik-Musterflächen und gut sichtbar für die
Betrachter – DIE Gelegenheit also, um am realen Beispiel zu sehen, wie innovative Photovoltaik wirkt.

Deshalb sind wir mit dem Kurs "Neu trifft auf Alt" am Samstag, den 16. September 2023 beim Streumarktes in Stilfs zu Gast. Er richtet sich insbesondere an Architekten, Ingenieure und Fachinstallateure, die mehr über die
Integration von Photovoltaik im historischen Kontext erfahren möchten.

An die Einführung und Vermittlung des nötigen Know-Hows zum Einsatz farbiger Photovoltaik, schließt eine Dorfrunde an, bei der wir an unterschiedlichen Dächern mögliche Umsetzungsvarianten sehen und diskutieren
können. Mit dabei ist auch die Landeskonservatorin Dr. Karin Dalla Torre.

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