TY - CHAP A1 - Meister, Vera G. T1 - Competency Acquisition in Applied Knowledge Engineering An Approach based on Learning from Errors T2 - Proceedings of the 2018 International Conference on Education Science and Social Development (ESSD 2018), Shanghai, China, in July 21-22, 2018 Y1 - 2018 SN - 978-94-6252-556-6 U6 - https://doi.org/10.2991/essd-18.2018.53 PB - Atlantis Press ER - TY - CHAP A1 - Möllmann, Klaus-Peter A1 - Regehly, Martin A1 - Vollmer, Michael T1 - Studying the transition from light emitting diodes to semiconductor lasers in applied physics laboratories T2 - Fifteenth Conference on Education and Training in Optics and Photonics: ETOP 2019 21-24 May 2019 T3 - Proceedings of SPIE - 1114312 KW - Optics education KW - semiconductor lasers KW - output characteristics KW - beam profile KW - microscopy KW - FTIR spectroscopy Y1 - 2019 U6 - https://doi.org/10.1117/12.2523387 SP - 1114312-1 EP - 1114312-9 CY - Quebec City, Quebec, Canada ER - TY - CHAP A1 - Vollmer, Michael A1 - Shaw, Joseph A. T1 - Near infrared photography of atmospheric optical phenomena T2 - Fifteenth Conference on Education and Training in Optics and Photonics: ETOP 2019 T3 - Proceedings of SPIE - Vol. 11143 Y1 - 2019 U6 - https://doi.org/10.1117/12.2523165 SP - 111431P-1 EP - 111431P-6 CY - Quebec City, Quebec, Canada ER - TY - CHAP A1 - Vollmer, Michael A1 - Shaw, Joseph A. T1 - Extended visual range: an observation during a total solar eclipse T2 - Fifteenth Conference on Education and Training in Optics and Photonics: ETOP 2019 T3 - Proceedings of SPIE - 11143 Y1 - 2019 U6 - https://doi.org/10.1117/12.2523167 SP - 111431Q-1 EP - 111431Q-6 CY - Quebec City, Quebec, Canada ER - TY - CHAP A1 - Creutzburg, Reiner A1 - McCallum, Simon A1 - Kim, Stefan A1 - van Rüschen, Raoul T1 - Volumetric Terrain Rendering with WebGL T2 - Electronic Imaging: Mobile Devices and Multimedia: Enabling Technologies, Algorithms, and Applications, 28. Januar bis 1. Februar 2018, Burlingame, Kalifornien, USA Y1 - 2018 U6 - https://doi.org/10.2352/issn.2470-1173.2018.06.mobmu-136 SN - 2470-1173 SP - 136-1 EP - 136-14 PB - Society for Imaging Science and Technology CY - Kilworth Lane / Springfield, Virginia, USA ER - TY - CHAP A1 - Tetzlaff, Laura A1 - Purohit, Anne-Maria A1 - Spallek, Jacob A1 - Holmberg, Christine A1 - Schrader, Thomas T1 - Evaluating Interoperability in German Critical Incident Reporting Systems T2 - German Medical Data Sciences 2023 – Science. Close to People. Proceedings of the 68th Annual Meeting of the German Association of Medical Informatics, Biometry, and Epidemiology e.V. (gmds) 2023, Heilbronn, Germany N2 - In industrialised countries, one in ten patients suffers harm during hospitalization. Critical Incident Reporting Systems (CIRS) aim to minimize this by learning from errors and identifying potential risks. However, a lack of interoperability among the 16 CIRS in Germany hampers their effectiveness. Y1 - 2023 U6 - https://doi.org/10.3233/SHTI230722 SP - 249 EP - 257 PB - IOS Press ER - TY - CHAP A1 - Pepe, Alberto A1 - Buchholz, Sven A1 - Lasenby, Joan T1 - Clifford Group Equivariant Neural Network Layers for Protein Structure Prediction T2 - Northern Lights Deep Learning Conference, VOL 233, 09-11 Januar 2024, Tromso, Norwegen N2 - We employ Clifford Group Equivariant Neural Network (CGENN) layers to predict protein coordinates in a Protein Structure Prediction (PSP) pipeline. PSP is the estimation of the 3D structure of a protein, generally through deep learning architectures. Information about the geometry of the protein chain has been proven to be crucial for accurate predictions of 3D structures. However, this information is usually flattened as machine learning features that are not representative of the geometric nature of the problem. Leveraging recent advances in geometric deep learning, we redesign the 3D projector part of a PSP architecture with the addition of CGENN layers . CGENNs can achieve better generalization and robustness when dealing with data that show rotational or translational invariance such as protein coordinates, which are independent of the chosen reference frame. CGENNs inputs, outputs, weights and biases are objects in the Geometric Algebra of 3D Euclidean space, i.e. G3,0,0, and hence are interpretable from a geometrical perspective. We test 6 approaches to PSP and show that CGENN layers increase the accuracy in term of GDT scores by up to 2.1\%, with fewer trainable parameters compared to linear layers and give a clear geometric interpretation of their outputs. Y1 - 2024 UR - https://proceedings.mlr.press/v233/pepe24a/pepe24a.pdf SP - 1 EP - 7 PB - PMLR ER - TY - CHAP A1 - Markgraf, Klaus A1 - Dietrich, Benjamin A1 - Müller, Katja A1 - Flassig, Robert A1 - Flassig, Peter T1 - FINEconcepts - Wissenstransfer und Energiesystemoptimierung mithilfe des digitalen Zwillings T2 - NWK, HS Harz, 2023 N2 - Climate change, but also geopolitical circumstances, are moving topics such as energy efficiency and renewable energies more and more into the focus of the population, economy , and politics. As a result, the will to optimize new and existing energy systems extends from private individuals to companies and even entire communities. This work describes the development and usage of a new software called FINEconcepts which creates a digital twin of an energy system. This virtual model can then be used to optimize the energy system based on annual costs, CO2 emissions or other relevant criteria such as self-sufficiency. Because all system components, which include renewable technologies as well, can be added as a building block with chosen but changeable parameters, the software allows the user to explore and awaken interest and understanding of technologies that were previously considered too costly, irrelevant, or unrealistic. Implemented projects in small and large companies as well as in residential areas did prove, that the usage of FINEconcepts leads not only to more efficient energy systems by increasing the use of renewable energy, but also increased knowledge and understanding in terms of energy. Besides economics, ecology and security, understanding is an equally important factor in achieving a sustainable energy supply. Y1 - 2023 UR - https://www.hs-harz.de/dokumente/extern/Forschung/NWK2023/Beitraege/FINEconcepts_-_Wissenstransfer_und_Energiesystemoptimierung_mithilfe_des_digitalen_Zwillings.pdf SP - 428 EP - 435 PB - HS Harz ER - TY - CHAP A1 - Orlowski, Maximilian A1 - Knauff, Emilia A1 - Marquardt, Florian T1 - Towards Personal Assistants for Energy Processes Based on Locally Deployed LLMs T2 - Proceedings of the 17th International Conference on Agents and Artificial Intelligence (ICAART 2025) , 2025, Porto, Portugal N2 - This paper presents a coaching assistant for network operator processes based on a Retrieval-Augmented Gen- eration (RAG) system leveraging open-source Large Language Models (LLMs) as well as Embedding Models. The system addresses challenges in employee onboarding and training, particularly in the context of increased customer contact due to more complex and extensive processes. Our approach incorporates domain-specific knowledge bases to generate precise, context-aware recommendations while mitigating LLM hallucination. We introduce our systems architecture to run all components on-premise in an our own datacenter, ensuring data security and process knowledge control. We also describe requirements for underlying knowledge doc- uments and their impact on assistant answer quality. Our system aims to improve onboarding accuracy and speed while reducing senior employee workload. The results of our study show that realizing a coaching assistant for German network operators is reasonable, when addressing performance, correctness, integration and locality. However current results regarding accu- racy do not yet meet the requirements for productive use. Y1 - 2025 U6 - https://doi.org/10.5220/0013175600003890 SP - 695 EP - 706 PB - SCITEPRESS ER - TY - CHAP A1 - Hildebrandt, Mario A1 - Lamshöft, Kevin A1 - Dittmann, Jana A1 - Neubert, Tom A1 - Vielhauer, Claus T1 - Information Hiding in Industrial Control Systems: An OPC UA based Supply Chain Attack and its Detection T2 - Proceedings of the 2020 ACM Workshop on Information Hiding and Multimedia Security (IH&MMSec’20), June 22–24, 2020, Denver, CO, USA KW - Information Hiding KW - Steganography KW - Process automation KW - Industrial Control Systems KW - OPC UA Y1 - 2020 U6 - https://doi.org/10.1145/3369412 SP - 115 EP - 120 PB - The Association for Computing Machinery CY - New York ER -