TY - CHAP A1 - Seidl, Tobias A1 - Bennemann, Michael T1 - Image Stitching of Microscopic Images T2 - Konferenz: "Society for Experimental Biology (SEB)", 3.-7. Juli 2016 in Brighton (England) N2 - Method to stich many microscopic images to gain one image with a very high resolution. KW - Bildverarbeitung KW - Maus KW - Mikrofotografie Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1010-opus4-5076 ER - TY - CHAP A1 - Surmann, Hartmut A1 - Digakis, Niklas A1 - Kremer, Jan-Niklas A1 - Meine, Julien A1 - Schulte, Max A1 - Voigt, Niklas T1 - Redefining Recon: Bridging Gaps with UAVs, 360° Cameras, and Neural Radiance Fields N2 - In the realm of digital situational awareness during disaster situations, accurate digital representations, like 3D models, play an indispensable role. To ensure the safety of rescue teams, robotic platforms are often deployed to generate these models. In this paper, we introduce an innovative approach that synergizes the capabilities of compact Unmaned Arial Vehicles (UAVs), smaller than 30 cm, equipped with 360° cameras and the advances of Neural Radiance Fields (NeRFs). A NeRF, a specialized neural network, can deduce a 3D representation of any scene using 2D images and then synthesize it from various angles upon request. This method is especially tailored for urban environments which have experienced significant destruction, where the structural integrity of buildings is compromised to the point of barring entry—commonly observed post-earthquakes and after severe fires. We have tested our approach through recent post-fire scenario, underlining the efficacy of NeRFs even in challenging outdoor environments characterized by water, snow, varying light conditions, and reflective surfaces. KW - Small UAVs KW - 360° Panorama KW - Visual Monocular SLAM KW - Rescue Robotics KW - NeRF Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1010-opus4-44603 SP - 1 EP - 6 ER - TY - CHAP A1 - Surmann, Hartmut A1 - Leinweber, Artur A1 - Senkowski, Gerhard A1 - Meine, Julien A1 - Slomma, Dominik T1 - UAVs and Neural Networks for search and rescue missions N2 - In this paper, we present a method for detecting objects of interest, including cars, humans, and fire, in aerial images captured by unmanned aerial vehicles (UAVs) usually during vegetation fires. To achieve this, we use artificial neural networks and create a dataset for supervised learning. We accomplish the assisted labeling of the dataset through the implementation of an object detection pipeline that combines classic image processing techniques with pretrained neural networks. In addition, we develop a data augmentation pipeline to augment the dataset with utomatically labeled images. Finally, we evaluate the performance of different neural networks. Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1010-opus4-44617 SP - 1 EP - 8 ER - TY - CHAP A1 - Kruse, Christian A1 - Pietschmann, Urs A1 - Becks, Daniela A1 - Wesseling, Jonas A1 - Widera, Agnes ED - Semar, Wolfgang T1 - Digitales Nachhaltigkeitsreporting - Herausforderungen und Konsequenzen für kleine und mittlere Unternehmen T2 - Nachhaltige Information – Information für Nachhaltigkeit N2 - Dem Thema Nachhaltigkeit kommt zunehmend eine größere Bedeutung zu. Dies liegt nicht zuletzt daran, dass die Pflicht, einen Nachhaltigkeitsbericht zu erstellen, mit dem Jahr 2024 auch auf viele kleine und mittlere Unternehmen ausgeweitet wird. Bislang trifft dies überwiegend auf große Unternehmen zu, welche in der Regel strukturell und hinsichtlich Software sehr gut für die Bewältigung dieser Aufgabe aufgestellt sind. Anders verhält es sich jedoch bei KMU, denn in diesen fehlen meist personelle und finanzielle Ressourcen sowie geeignete softwaretechnische Unterstützungswerkzeuge. In diesem Beitrag werden die Ergebnisse einer Studie der Westfälischen Hochschule vorgestellt, die sich auf das Nachhaltigkeitsreporting von KMU fokussiert. Darüber hinaus werden Herausforderungen aus Informationssicht erläutert und mögliche Unterstützungsbedarfe für KMU diskutiert. Ein Überblick über zukünftige Ansatzpunkte und eine abschließende Diskussion runden den Artikel ab. KW - Nachhaltigkeitsreporting KW - KMU KW - Digitalisierung Y1 - 2023 U6 - https://doi.org/10.5281/zenodo.10009338 SP - 338 EP - 351 PB - Zenodo ER - TY - CHAP A1 - Meyer, Manfred ED - Carmo, Mafalda T1 - Challenges – Towards Continuous Peer Assessment in Undergraduate Programming Classes T2 - Education and New Developments 2023, Vol. 1 N2 - This paper presents a pragmatic approach for stepwise introduction of peer assessment elements in undergraduate programming classes, discusses some lessons learned so far and directions for further work. Students are invited to challenge their peers with their own programming exercises to be submitted through Moodle and evaluated by other students according to a predefined rubric and supervised by teaching assistants. Preliminary results show an increased activation and motivation of students leading to a better performance in the final programming exams. KW - Continuous Assessment KW - Peer Assessment KW - Formative Assessment KW - Competency-Oriented Exams Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1010-opus4-45124 SN - 978-989-35106-3-6 SN - 2184-044X SN - 2184-1489 SP - 134 EP - 138 PB - inScience Press CY - Lissabon ER - TY - CHAP A1 - Hannemann, Dieter ED - Bode, Arndt ED - Desel, Jörg ED - Rathmayer, Sabine ED - Wessner, Martin T1 - Die Virtuelle Fachhochschule VFH T2 - DeLFI 2003: Tagungsband der 1. E-Learning-Fachtagung Informatik. 16. - 18. September 2003 Garching b. München N2 - Dieser Bericht beschreibt in Kurzform das Projekt, dessen Ziel es ist, Online-Studiengänge zu entwickeln. Weiterhin werden die Besonderheiten bei der Durchführung von Online-Studiengängen und die damit verbundenen Schwierigkeiten aufgezeigt. An einem Beispiel kann man erkennen, wie die didaktische und multimediale Umsetzung der einzelnen Lernmodule realisiert wurde. Eine ausführliche Abhandlung kann man im Internet nachlesen: http://194.94.127.15/Lehre/infophysik/IP-WBT-Demo/infophysik.html KW - Virtuelle Hochschule KW - E-Learning KW - Informatik Y1 - 2003 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1010-opus4-41 SN - 3-88579-366-0 SP - 110 EP - 115 PB - Ges. für Informatik CY - Bonn ER - TY - CHAP A1 - Hannemann, Dieter T1 - Technik des Online-Studiums T2 - Tagungsband zum Symposium: "Bildung Online - Die Virtuelle Fachhochschule" Berlin N2 - Die Technik des Online-Studiums wird unter vier Aspekten vorgestellt: Struktur, Lernraum, Lerneinheiten, Ausblick. KW - E-Learning KW - Virtuelle Hochschule KW - Online-Studium Y1 - 2002 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1010-opus4-16 ER - TY - CHAP A1 - Meyer, Manfred T1 - The Many Ways to Student Activation: Lessons Learned from 25 Years of Teaching Undergraduate Programming Classes T2 - Proceedings of the 16th Annual International Conference of Education, Research and Innovation, November 13th - 15th, 2023, Seville, Spain N2 - This paper reveals various approaches undertaken over more than two decades of teaching undergraduate programming classes at different Higher Education Institutions, in order to improve student activation and participation in class and consequently teaching and learning effectiveness. While new technologies and the ubiquity of smartphones and internet access has brought new tools to the classroom and opened new didactic approaches, lessons learned from this personal long-term study show that neither technology itself nor any single new and often hyped didactic approach ensured sustained improvement of student activation. Rather it needs an integrated yet open approach towards a participative learning space supported but not created by new tools, technology and innovative teaching methods. KW - Student Activation KW - Interactive Voting Systems KW - Flipped Classroom KW - Peer Instruction KW - Social Learning Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1010-opus4-45141 SN - 978-84-09-55942-8 SN - 2340-1095 SP - 9281 EP - 9290 PB - IATED Academy CY - Valencia ER - TY - CHAP A1 - Springer, Raphael A1 - Schmitz, Alexander A1 - Leinweber, Artur A1 - Urban, Tobias A1 - Dietrich, Christian J. T1 - Padding Matters - Exploring Function Detection in PE Files: Data/Toolset T2 - CODASPY '25: Proceedings of the Fifteenth ACM Conference on Data and Application Security and Privacy, June 4-6 2025, Pittsburgh PA USA N2 - Function detection is a well-known problem in binary analysis. While prior work has focused on Linux/ELF, Windows/PE binaries have only partially been considered. This paper introduces FuncPEval, a dataset for Windows x86 and x64 PE files, featuring Chromium and the Conti ransomware, along with ground truth data for 1,092,820 function starts. Utilizing FuncPEval, we evaluate five heuristics-based (Ghidra, IDA, Nucleus, rev.ng, SMDA) and three machine-learning-based (DeepDi, RNN, XDA) function start detection tools. Among these, IDA achieves the highest F1-score (98.44%) for Chromium x64, while DeepDi closely follows (97%) but stands out as the fastest. Towards explainability, we examine the impact of padding between functions on the detection results, finding all tested tools, except rev.ng, are susceptible to randomized padding. The randomized padding significantly diminishes the effectiveness of the RNN, XDA, and Nucleus. Among the learning-based tools, DeepDi exhibits the least sensitivity, while Nucleus is the most adversely affected among the non-learning-based tools. KW - Binary Code Analysis KW - Function Detection KW - Malware Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:1010-opus4-48386 SN - 979-8-4007-1476-4 VL - 2025 SP - 179 EP - 184 PB - Association for Computing Machinery (ACM) CY - New York ER -