@inproceedings{4400, author = {Behrens, Grit and Theis, Niklas and Boschert, Andreas and Zehner, Mike}, booktitle = {Tagungsunterlagen 39. PV-Symposium}, isbn = {978-3-948176-25-9}, location = {Kloster Banz, Bad Staffelstein}, title = {{Wolkensegementierung und -matching mit Deep Learning in All Sky Images}}, year = {2024}, } @inproceedings{4395, author = {Behrens, Grit and Karaztas, Kostans and Orlowski, Cezary }, booktitle = {57th Hawaii International Conference on System Sciences, {HICSS} 2024, Hilton Hawaiian Village Waikiki Beach Resort, Hawaii, USA, January 3-6, 2024}, editor = {Bui, Tung X. }, isbn = {978-0-9981331-7-1}, location = {Hilton Hawaiian Village Waikiki Beach Resort, Hawaii, USA}, pages = {288--297}, title = {{Business Intelligence Fog IoT node development model for Big Data processing of air quality in scientific partnerships}}, doi = {10125/106409}, year = {2024}, } @inproceedings{4297, author = {Matutat, André and Gips, Carsten}, location = {Hochschule Bielefeld}, title = {{Deploy to Grading}}, year = {2023}, } @inproceedings{4300, author = {Amini Kaveh, Finn and Gips, Carsten}, location = {Hochschule Bielefeld}, title = {{Peer‐Feedback, Poster‐Sessions und OER in ILIAS‐Kursräumen}}, year = {2023}, } @inproceedings{4298, abstract = {Gamification im Hochschulbereich zur Motivationssteigerung von Lernenden ist ein vielversprechender Ansatz. In diesem Vortrag wird ein Tool präsentiert, mit dem Lehrende ohne umfangreiche Software- oder Videospielentwicklungskompetenzen Übungsaufgaben als Quests in ein 2D-Rollenspiel integrieren können. Dazu wird eine Beschreibungssprache verwendet, die Aufgaben in Spielszenarien umwandelt, die von den Lernenden im Spiel gelöst werden.}, author = {Matutat, André and George, Birgit Christina and Gips, Carsten}, location = {Hochschule Bielefeld}, title = {{Dungeon: Learning by Questing}}, year = {2023}, } @inproceedings{4295, author = {Matutat, André and Reinsch, Malte and Kirsch, André and George, Birgit Christina and Gips, Carsten}, location = {Bergische Universität Wuppertal}, title = {{Learning by Questing}}, year = {2023}, } @inproceedings{3698, abstract = {This paper shows a comparison of two methods for the Site VSWR measurement for anechoic room validation. The CISPR method based on CISPR 16-1-4 is compared with the ANSI C63.25.1 method. Differences will be analyzed and necessary technical concretizations in the standard are explained. This is important to provide a technically solid base for the anechoic room validation for continuously increasing frequencies above 18 GHz.}, author = {Battermann, Sven and Riedelsheimer, Jochen and Metzger, Markus and Trautnitz, Friedrich-Wilhelm}, booktitle = {2023 International Symposium on Electromagnetic Compatibility – EMC Europe}, location = {Krakow, Poland}, pages = {1--6}, publisher = {IEEE}, title = {{Validation procedures for EMC Test Sites in the frequency range 1 to 18 GHz in view of extension to the frequency range 18 to 40 GHz}}, doi = {10.1109/EMCEurope57790.2023.10274180}, year = {2023}, } @inproceedings{3699, abstract = {This paper discusses the introduction of the antenna height scan in CISPR 32 Ed. 2.1 from technical and economical point of view. An artificial equipment under test (EUT) has been examined in an absorber-lined semi-anechoic chamber and a fully anechoic room. The influence of insufficient floor absorber layout and antenna tilting on the height scan is presented by measurements and calculations. The paper closes with a description of the relation between the measurement method, the measurand and the definition of limits with respect to the disturbance scenario (CISPR 16-4-4) and the challenges of EMC measurements with modern electric systems.}, author = {Battermann, Sven and Hemmerlein, Kurt and Stecher, Manfred}, booktitle = {2023 International Symposium on Electromagnetic Compatibility – EMC Europe}, location = {Krakow, Poland}, pages = {1--6}, publisher = {IEEE}, title = {{Discussion of the height scan introduced in CISPR 32 for measuring emissions above 1 GHz}}, doi = {10.1109/EMCEurope57790.2023.10274182}, year = {2023}, } @inproceedings{3655, abstract = {Im Rahmen des Moduls Programmieren 2 des Studiengangs Informatik BA der Hochschule Bielefeld reichen Studierende seit mehreren Jahren ihre Programmierlösungen als Git-Pull-Requests ein und verlinken diese nur noch in ihrer Abgabe im Learning Management System. Bisher wurden die Lösungen der Studierenden anschließend in Präsenz mit den Lehrenden diskutiert und von diesen bewertet. Da diese Art der Bewertung viel Zeit in Anspruch nimmt, arbeiten wir an der Umstellung auf ein automatisches Bewertungssystem. Aus diesem Grund präsentieren wir in diesem Paper unser Konzept zur automatischen Bewertung von Programmieraufgaben mithilfe von Continuous Integration/Continuous Deployment-Pipelines. Im Gegensatz zu anderen automatischen Bewertungssystemen verwenden wir keine eigene Serverstruktur, sondern nutzen frei verfügbare Infrastruktur. Wir berücksichtigen dabei die einfache Übertragung auf andere Continuous Integration/Continuous Deployment-Pipelines sowie die Möglichkeit zur lokalen Ausführung.}, author = {Kirsch, André and Matutat, André and Reinsch, Malte and George, Birgit Christina and Gips, Carsten}, booktitle = {Proceedings of the Sixth Workshop "Automatische Bewertung von Programmieraufgaben" (ABP 2023)}, editor = {Greubel, André and Strickroth, Sven and Striewe, Michael}, keywords = {Autograding, Automatisiertes Feedback, CI/CD-Pipeline}, location = {München}, publisher = {Gesellschaft für Informatik e.V.}, title = {{Deploy-to-Grading: Automatische Bewertung von Programmieraufgaben mit CI/CD-Pipelines}}, doi = {10.18420/ABP2023-11}, year = {2023}, } @inproceedings{3062, author = {Matutat, André and George, Birgit Christina and Gips, Carsten}, location = {Berlin, Bochum, Heilbronn}, title = {{Selbstgesteuertes Lernen im Dungeon}}, year = {2023}, } @inproceedings{2292, author = {Viertel, Philipp and König, Matthias and Rexilius, Jan}, booktitle = {Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods - ICPRAM}, isbn = {978-989-758-626-2}, location = {Lisbon, Portugal}, pages = {418--425}, title = {{Metric-Based Few-Shot Learning for Pollen Grain Image Classification}}, doi = {10.5220/0011727900003411}, year = {2023}, } @inproceedings{2953, abstract = {The transition from fossil fuels to renewable energy is considered as very meaningful to mitigate climate change. To integrate weather-dependent energies firmly into the power grid, a forecast of the energy yield is very important. This paper is about renewable energy generation by photovoltaic (PV) systems. The yield of PV-systems depends not only on weather conditions, but in wintertime also on the additional factor “snow cover”. The aim of this work is to detect snow cover on photovoltaic plants to support the energy yield forecast. For this purpose, images of a PV-plant with and without snow cover are used for feature extraction and then analyzed by using a convolutional neural network (CNN).}, author = {Behrens, Grit and Hepp, Dennis and Hempelmann, Sebastian and Friedrich, Werner }, booktitle = {ENVIROINFO 2022}, editor = {Wohlgemuth, Volker and Naumann, Stefan and Arnd, Hans-Knud and Behrens, Grit and Höb, Maximilian}, isbn = { 978-3-88579-722-7}, issn = { 1617-5468}, keywords = {convolutional neural network, photovoltaic modules, snow detection, machine learning}, location = {Hamburg}, title = {{Detection of snow-coverage on PV-modules with images based on CNN-techniques}}, volume = {P328}, year = {2022}, } @inproceedings{3044, author = {George, Birgit Christina and Schwettmann, Marc and Kreienkamp, Angela and Müller, Kerstin}, booktitle = {33rd European Conference on Cognitive Ergonomics}, editor = {Ebert, Achim and Lachmann, Thomas and Dreßler, Klaus and Lindblom, Jessica and Reinhard, René}, isbn = {9781450398084}, location = {Kaiserslautern Germany}, pages = {1--10}, publisher = {ACM}, title = {{Prosocial activities in video games player type based study concerning the genres assively Multiplayer Online, Shooter and Role-Playing Games}}, doi = {10.1145/3552327.3552361}, year = {2022}, } @inproceedings{3061, author = {Matutat, André and Gips, Carsten}, location = {Essen}, title = {{PM-Dungeon}}, doi = {10.57720/3061}, year = {2022}, } @inproceedings{3060, author = {Matutat, André and Gips, Carsten}, location = {Berlin}, title = {{Deploy to Grading: Create an automated assessment tool to improve feedback in self-paced learning and reduce workload for lecturers}}, year = {2022}, } @inproceedings{2141, abstract = {Der Bedarf an Störfestigkeitsprüfungen von Prüflingen im Nahbereich ist vor allem durch aufgetretene Störphänomene entstanden, wenn sich hochfrequente Strahlungsquellen (mobile Sendegeräte wie z. B. Handfunkgeräte oder Mobiltelefone) in einem sehr geringen Abstand zu elektronischen Geräten befinden. Das reale Störphänomen kann beispielsweise ein vom Wartungspersonal genutztes Handfunkgerät sein, das in unmittelbarer Nähe von Feldgeräten (Sensoren, Aktoren) oder Steuerungskomponenten verwendet wird und direkt in diese einkoppelt. Damit sind selbst bei einer Sendeleistung von wenigen Watt von einem Handfunkgerät mit verkürzter Wendelantenne (z. B. 6 W, 430 MHz) elektrische Feldstärken von einigen 100 V/m im Nahbereich der Antenne zu erreichen. Die Wahrscheinlichkeit des Auftretens dieser Störphänomene steigt durch die wachsende Anzahl an portablen mobilen Sendegeräten mit Funkschnittstelle (z. B. Smartphones, IoT-Devices) deutlich an. Nach Standardisierungsprojekten sind die Testverfahren und Anforderungen an die Antennen für die Messung im Nahbereich mittlerweile in verschiedene Normen eingeflossen. Im Automobilbereich ist das – neben herstellerspezifischen Prüfanforderungen – die ISO 11452-9 [1] mit einem breitbandigen Dipol mit flachen Elementen. Im Industriebereich ist es die DIN EN 61000-4-39 [2], die die Verwendung eines breitbandiges TEM-Horns beschreibt. Beide Standards decken das gleiche Störszenario ab und es stellt sich die Frage, wie sich die erzeugten Felder der beiden Antennentypen im betrachteten Frequenzbereich von ca. 360 MHz bis 6 GHz verhalten. Dieser Beitrag stellt Messungen und Simulationen der von den beiden Antennentypen erzeugten elektromagnetischen Felder dar und zeigt Unterschiede auf.}, author = {Battermann, Sven and Schwarzbeck, Dieter}, booktitle = {Proceedings EMV Kongress 2022: Internationale Fachmesse und Kongress für Elektromagnetische Verträglichkeit}, editor = {Garbe, Heyno}, keywords = {EMV, ISO 11452-9, DIN EN 61000-4-39, TEM-Horn, Flat Antenna}, location = {Köln}, publisher = {Apprimus}, title = {{Störfestigkeit im Nahbereich – Vergleich der mit Antennen erzeugten Felder der ISO 11452-9 und DIN EN 61000-4-39}}, doi = {10.15488/12573}, year = {2022}, } @inproceedings{1988, author = {Wächter, Tim and Rexilius, Jan and Hoffmann, Martin and König, Matthias}, booktitle = {2022 18th International Conference on Intelligent Environments (IE)}, location = {Biarritz, France}, publisher = {IEEE}, title = {{Intelligent Building Evacuation under Consideration of Temporary Events and Dynamic Fire Propagation}}, doi = {10.1109/IE54923.2022.9826762}, year = {2022}, } @inproceedings{1548, author = {Viertel, Philipp and König, Matthias and Rexilius, Jan}, booktitle = {Referate der 42. GIL-Jahrestagung}, isbn = {978-3-88579-711-1}, location = {Tänikon, Ettenhausen, Schweiz}, pages = {301--306}, title = {{Pollen detection from honey sediments via Region-Based Convolutional Neural Networks}}, year = {2022}, } @article{1533, abstract = {In a large number of scientific areas, such as immunology, forensics, paleoecology, and archeology, the study of pollen, i.e., palynology, plays an important role: from tracking climate changes, studying allergies, to forensic investigations or honey origin analysis. Since the mid-nineties of the last century, the idea for an automated solution to the problem of pollen identification and classification was formulated and since then, several attempts and proposals have been made and presented, based on different technologies, in particular in the field of Computer Vision. However, as of 2021 microscopic analyses are performed mainly manually by highly trained specialists, although the capabilities of artificial intelligence, especially Deep Neural Networks, are steadily increasing. In this work, we analyzed various state-of-the-art research work concerning pollen detection and classification and compared their methods and results. The problems, such as data accessibility, different methods of Machine Learning, and the intended applicability of the proposed solutions are explored. We also identified crucial issues that require further work and research. Our work will provide a thorough view on the current state of the art, its issues, and possibilities for the future.}, author = {Viertel, Philipp and König, Matthias}, journal = {Machine Vision and Applications}, publisher = {Springer}, title = {{Pattern Recognition Methodologies for Pollen Grain Image Classification: A Survey}}, doi = {10.1007/s00138-021-01271-w}, volume = {33}, year = {2022}, } @inproceedings{2302, author = {Laak, Matti Miikka Johannes and Schmitz, Anne-Kathrin and Becking, Dominic and Seelmeyer, Udo and Waag, Philipp and Weinhardt, Marc}, booktitle = {HCI International 2021 - Late Breaking Posters. 23rd HCI International Conference, HCII 2021, Virtual Event, July 24–29, 2021, Proceedings, Part II}, editor = {Stephanidis, Constantine and Antona, Margherita and Ntoa, Stavroula}, isbn = {978-3-030-90178-3}, issn = {1865-0937}, pages = {383--389}, publisher = {Springer International Publishing}, title = {{STellaR – A Stationary Telepresence Counselling System for Collaborative Work on Paper Documents}}, doi = {10.1007/978-3-030-90179-0_49}, year = {2021}, }