@article{OeppertHartzWehneretal.2021, author = {Oeppert, Luise and Hartz, Tobias and Wehner, Kathrin and Schrader, Thomas and Meier, Jens}, title = {FHIR-Datenmodell zur {\"U}bermittlung von Tumordaten zwischen Krebsregistern und IQTIG}, series = {GMS Medizinische Informatik, Biometrie und Epidemiologie}, volume = {17}, journal = {GMS Medizinische Informatik, Biometrie und Epidemiologie}, number = {Iss 4}, publisher = {German Medical Science GMS Publishing House}, doi = {10.3205/mibe000231}, year = {2021}, language = {de} } @inproceedings{OrlowskiKnauffMarquardt2025, author = {Orlowski, Maximilian and Knauff, Emilia and Marquardt, Florian}, title = {Towards Personal Assistants for Energy Processes Based on Locally Deployed LLMs}, series = {Proceedings of the 17th International Conference on Agents and Artificial Intelligence (ICAART 2025) , 2025, Porto, Portugal}, booktitle = {Proceedings of the 17th International Conference on Agents and Artificial Intelligence (ICAART 2025) , 2025, Porto, Portugal}, publisher = {SCITEPRESS}, doi = {10.5220/0013175600003890}, pages = {695 -- 706}, year = {2025}, abstract = {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.}, language = {en} } @inproceedings{PepeBuchholzLasenby2024, author = {Pepe, Alberto and Buchholz, Sven and Lasenby, Joan}, title = {Clifford Group Equivariant Neural Network Layers for Protein Structure Prediction}, series = {Northern Lights Deep Learning Conference, VOL 233, 09-11 Januar 2024, Tromso, Norwegen}, booktitle = {Northern Lights Deep Learning Conference, VOL 233, 09-11 Januar 2024, Tromso, Norwegen}, publisher = {PMLR}, pages = {1 -- 7}, year = {2024}, abstract = {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.}, language = {en} } @inproceedings{PepeLasenbyBuchholz2024, author = {Pepe, Alberto and Lasenby, Joan and Buchholz, Sven}, title = {CGAPoseNet+GCAN: A Geometric Clifford Algebra Network for Geometry-aware Camera Pose Regression}, series = {Winter Conference on Applications of Computer Vision, Waikoloa, Hawaii, US, 2024}, booktitle = {Winter Conference on Applications of Computer Vision, Waikoloa, Hawaii, US, 2024}, publisher = {IEEE}, doi = {10.1109/WACV57701.2024.00646}, pages = {6593 -- 6603}, year = {2024}, abstract = {We introduce CGAPoseNet+ GCAN, which enhances CGAPoseNet, an architecture for camera pose regression, with a Geometric Clifford Algebra Network (GCAN). With the addition of the GCAN we obtain a geometry-aware pipeline for camera pose regression from RGB images only. CGAPoseNet employs Clifford Geometric Algebra to unify quaternions and translation vectors into a single mathematical object, the motor, which can be used to uniquely describe camera poses. CGAPoseNet solves the issue of balancing rotation and translation components in the loss function, and can obtain comparable results to other approaches without the need of expensive tuning of the loss function or additional information about the scene, such as 3D point clouds, which might not always be available. CGAPoseNet, however, like several approaches in the literature, only learns to predict motor coefficients, and it is unaware of the mathematical space in which predictions sit in and of their geometrical meaning. By leveraging recent advances in Geometric Deep Learning, we modify CGAPoseNet with a GCAN: proposals of possible motor coefficients associated with a camera frame are obtained from the InceptionV3 backbone, and the GCAN downsamples them to a single motor through a sequence of layers that work in G_ 4, 0. The network is hence geometry-aware, has multivector-valued inputs, weights and biases and preserves the grade of the objects that it receives in input. CGAPoseNet+ GCAN has almost 4 million fewer trainable parameters, it reduces the average rotation error by 41\% and the average translation error by 8.8\% compared to CGAPoseNet. Similarly, it reduces rotation and translation errors by 32.6\% and 19.9\%, respectively, compared to the best performing PoseNet strategy. CGAPoseNet+ GCAN reaches the state-of-the-art results on 13 commonly employed datasets. To the best of our knowledge, it is the first experiment in GCANs applied to the problem of camera pose regression.}, language = {en} } @unpublished{PepeLasenbyBuchholz2024, author = {Pepe, Alberto and Lasenby, Joan and Buchholz, Sven}, title = {STAResNet: A Network in Spacetime Algebra to solve Maxwell's PDEs}, series = {arXiv}, journal = {arXiv}, publisher = {arXiv}, pages = {1 -- 17}, year = {2024}, abstract = {We introduce STAResNet, a ResNet architecture in Spacetime Algebra (STA) to solve Maxwell's partial differential equations (PDEs). Recently, networks in Geometric Algebra (GA) have been demonstrated to be an asset for truly geometric machine learning. In [1], GA networks have been employed for the first time to solve partial differential equations (PDEs), demonstrating an increased accuracy over real-valued networks. In this work we solve Maxwell's PDEs both in GA and STA employing the same ResNet architecture and dataset, to discuss the impact that the choice of the right algebra has on the accuracy of GA networks. Our study on STAResNet shows how the correct geometric embedding in Clifford Networks gives a mean square error (MSE), between ground truth and estimated fields, up to 2.6 times lower than than obtained with a standard Clifford ResNet with 6 times fewer trainable parameters. STAREsNet demonstrates consistently lower MSE and higher correlation regardless of scenario. The scenarios tested are: sampling period of the dataset; presence of obstacles with either seen or unseen configurations; the number of channels in the ResNet architecture; the number of rollout steps; whether the field is in 2D or 3D space. This demonstrates how choosing the right algebra in Clifford networks is a crucial factor for more compact, accurate, descriptive and better generalising pipelines.}, language = {en} } @inproceedings{PepeLasenbyBuchholz2024, author = {Pepe, Alberto and Lasenby, Joan and Buchholz, Sven}, title = {GA-ReLU: an activation function for Geometric Algebra Networks applied to 2D Navier-Stokes PDEs}, series = {ICLR 2024 Workshop on AI4DifferentialEquations In Science, Wien, {\"O}sterreich}, booktitle = {ICLR 2024 Workshop on AI4DifferentialEquations In Science, Wien, {\"O}sterreich}, pages = {1 -- 6}, year = {2024}, abstract = {Many differential equations describing physical phenomena are intrinsically geometric in nature. It has been demonstrated how this geometric structure of data can be captured effectively through networks sitting in Geometric Algebra (GA) that work with multivectors, making them suitable candidates to solve differential equations. GA networks however, are still mostly uncharted territory. In this paper we focus on non-linearities, since applying them to multivectors is not a trivial task: they are generally applied in a point-wise fashion over each real-valued component of a multivector. This approach discards interactions between different elements of the multivector input and compromises the geometric nature of GA networks. To bridge this gap, we propose GA-ReLU, a GA approach to the rectified linear unit (ReLU), and show how it can improve the solution of Navier-Stokes PDEs.}, language = {en} } @article{PfeifferDilipSuryawanshietal.2021, author = {Pfeiffer, Thomas and Dilip, Khadse Himanshu and Suryawanshi, Raunak and Kishnamurthy, Gnana Swaroop and T{\´e}llez, Batcheva Dom{\´i}nguez and Creutzburg, Reiner and Hartmann, Michael}, title = {Airflow visualization and air purifier positioning optimization in potentially COVID-19 contaminated classrooms}, series = {Electronic Imaging}, journal = {Electronic Imaging}, publisher = {Society for Imaging Science and Technology}, address = {Springfield, VA}, issn = {2470-1173}, doi = {10.2352/ISSN.2470-1173.2021.3.MOBMU-039}, pages = {39-1 -- 39-15}, year = {2021}, language = {en} } @article{PilgermannBocklischCreutzburg2020, author = {Pilgermann, Michael and Bocklisch, Thomas and Creutzburg, Reiner}, title = {Conception and implementation of a course for professional training and education in the field of IoT and smart home security}, series = {Electronic Imaging}, journal = {Electronic Imaging}, publisher = {Society for Imaging Science and Technology}, issn = {2470-1173}, doi = {10.2352/ISSN.2470-1173.2020.3.MOBMU-277}, pages = {277-1 -- 277-8}, year = {2020}, language = {en} } @article{PilgermannWerthCreutzburg2020, author = {Pilgermann, Michael and Werth, S{\"o}ren and Creutzburg, Reiner}, title = {Towards sector specific security operation}, series = {Electronic Imaging}, journal = {Electronic Imaging}, publisher = {Society for Imaging Science and Technology}, address = {Springfield, VA}, issn = {2470-1173}, doi = {10.2352/ISSN.2470-1173.2020.3.MOBMU-254}, pages = {254-1 -- 254-10}, year = {2020}, language = {en} } @article{PrinzOrlowskiBecketal.2025, author = {Prinz, Alexander and Orlowski, Katja and Beck, Eberhard and Witte, Kerstin}, title = {Serious Games for Seniors With Dementia: A Pilot Study}, series = {Journal of Applied Gerontology}, volume = {2025}, journal = {Journal of Applied Gerontology}, publisher = {SAGE}, doi = {10.1177/07334648251350846}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:522-opus4-33440}, pages = {1 -- 11}, year = {2025}, abstract = {Dementia, marked by cognitive decline, significantly impacts daily life. With global prevalence rising, traditional treatments manage symptoms but have side effects and offer no cure. Non-pharmacological interventions, like serious games, are gaining importance. This study assesses the feasibility and benefits of serious games for people with mild to moderate dementia over a 10-week intervention. Sixty-one patients were recruited, with 35 completing the study. The intervention included six games focusing on physical and cognitive training. Outcome measures were motor function, cognitive assessments, quality of life, and depression. Results showed significant improvements in dynamic balance (p = .013) but no significant changes in other measures. The findings suggest that serious games are feasible and can improve motor functions like balance. However, short intervention periods may limit their impact on cognitive function and quality of life. Longer interventions and personalized game designs are recommended for greater benefits.}, language = {en} } @inproceedings{QuernerEwerlingKindsmueller2025, author = {Querner, Erich and Ewerling, Philipp and Kindsm{\"u}ller, Martin Christof}, title = {Touch gets it done, tangibles make it fun? Balancing objective accuracy and user experience}, series = {Mensch und Computer 2025 - Workshopband : MCI-WS11: 18th Workshop "Be-greifbare Interaktion". Chemnitz. 31. August - 03. September 2025}, booktitle = {Mensch und Computer 2025 - Workshopband : MCI-WS11: 18th Workshop "Be-greifbare Interaktion". Chemnitz. 31. August - 03. September 2025}, publisher = {Gesellschaft f{\"u}r Informatik}, doi = {https://doi.org/10.18420/muc2025-mci-ws11-164}, pages = {1 -- 6}, year = {2025}, abstract = {This study compares Tangible User Interfaces (TUIs) with conventional touch interfaces (CTIs) on multi-touch tables for exploratory multi-user map applications. We developed a prototype that enables multiple users to interact with map content simultaneously and independently. Four interaction methods were implemented and evaluated: gesture-based touch control, widget-based touch joystick control, and two tangible interaction variants (a joystick and car-steering metaphor). A user study with 15 participants was conducted in which users navigated predefined routes with varying difficulty. We collected both objective performance measurements and subjective user assessments. While touch-based methods yielded higher accuracy in objective metrics, TUI-based interactions were rated significantly better by participants in terms of user experience. Notably, the car-steering tangible control was particularly well-received, highlighting how physical, playful interaction can enhance usability despite lower accuracy. These findings contribute to our understanding of how different interaction paradigms support collaborative exploration on multi-touch surfaces.}, language = {en} } @inproceedings{QuernerEwerlingKindsmueller2025, author = {Querner, Erich and Ewerling, Philipp and Kindsm{\"u}ller, Martin Christof}, title = {Setting the Stage for Collaboration: A Multi-View Table for Touch and Tangible Map Interaction}, series = {Mensch und Computer 2025 - Workshopband : MCI-WS11: 18th Workshop "Be-greifbare Interaktion". Chemnitz. 31. August - 03. September 2025}, booktitle = {Mensch und Computer 2025 - Workshopband : MCI-WS11: 18th Workshop "Be-greifbare Interaktion". Chemnitz. 31. August - 03. September 2025}, publisher = {Gesellschaft f{\"u}r Informatik}, doi = {10.18420/muc2025-mci-demo-318}, pages = {1 -- 4}, year = {2025}, abstract = {We present a multi-user map application based on a novel multiview concept that enables simultaneous and independent interaction with shared geospatial content. Each user operates a personal View Finder and Focus View, color-coded for clarity, while a shared, immutable Context View provides a common reference frame. The system supports both touch-based and tangible interaction techniques, including gesture control, virtual joysticks, and physical objects. Users can flexibly arrange their workspaces on a multi-touch table, supporting both individual exploration and collaborative tasks.}, language = {de} } @article{RichterSchwarzCreutzburg2021, author = {Richter, Maximilian and Schwarz, Klaus and Creutzburg, Reiner}, title = {Conception and Implementation of Professional Laboratory Exercises in the field of ICS/SCADA Security Part II: Red Teaming and Blue Teaming}, series = {Electronic Imaging}, journal = {Electronic Imaging}, publisher = {Society for Imaging Science and Technology}, address = {Springfield, VA}, issn = {2470-1173}, doi = {10.2352/ISSN.2470-1173.2021.3.MOBMU-074}, pages = {74-1 -- 74-13}, year = {2021}, language = {en} } @article{RichterSchwarzCreutzburg2021, author = {Richter, Maximilian and Schwarz, Klaus and Creutzburg, Reiner}, title = {Conception and Implementation of Professional Laboratory Exercises in the field of ICS/SCADA Security - Part I: Fundamentals}, series = {Electronic imaging}, journal = {Electronic imaging}, publisher = {Society for Imaging Science and Technology}, doi = {10.2352/ISSN.2470-1173.2021.3.MOBMU-073}, pages = {73-1 -- 73-13}, year = {2021}, language = {en} } @article{RojekIslamHartmannetal.2021, author = {Rojek, Lukasz and Islam, Saiful and Hartmann, Michael and Creutzburg, Reiner}, title = {IoT-Based Real-Time Monitoring System for a Smart Energy House}, series = {Electronic Imaging}, journal = {Electronic Imaging}, publisher = {Society for Imaging Science and Technology}, address = {Springfield, VA}, issn = {2470-1173}, doi = {10.2352/ISSN.2470-1173.2021.3.MOBMU-038}, pages = {38-1 -- 38-10}, year = {2021}, language = {en} } @article{Schnitzer2021, author = {Schnitzer, Julia}, title = {Generative Design For Creators - The Impact Of Data Driven Visualization And Processing In The Field Of Creative Business}, series = {Electronic Imaging}, journal = {Electronic Imaging}, publisher = {Society for Imaging Science and Technology}, address = {Springfield, VA}, issn = {2470-1173}, doi = {10.2352/ISSN.2470-1173.2021.3.MOBMU-022}, pages = {022-1 -- 022-6}, year = {2021}, language = {en} } @article{SchwarzSchwarzCreutzburg2021, author = {Schwarz, Franziska and Schwarz, Klaus and Creutzburg, Reiner}, title = {Improving Detection of Manipulated Passport Photos - Train- ing Course for Border Control Inspectors to Detect Morphed Facial Passport Photos - Part I: Introduction, State-of-the-Art and Preparatory Tests and Experiments}, series = {Electronic Imaging}, journal = {Electronic Imaging}, publisher = {Society for Imaging Science and Technology}, address = {Springfield, VA}, issn = {2470-1173}, doi = {10.2352/ISSN.2470-1173.2021.3.MOBMU-136}, pages = {136-1 -- 136-9}, year = {2021}, language = {en} } @article{SchwarzSchwarzCreutzburg2020, author = {Schwarz, Franziska and Schwarz, Klaus and Creutzburg, Reiner}, title = {New Methodology and Checklist of Wi-Fi Connected and App-Controlled IoT-Based Consumer Market Smart Home Devices}, series = {Electronic Imaging}, journal = {Electronic Imaging}, publisher = {Society for Imaging Science and Technology}, address = {Springfield, VA}, issn = {2470-1173}, doi = {10.2352/ISSN.2470-1173.2020.3.MOBMU-276}, pages = {276-1 -- 276-15}, year = {2020}, language = {en} } @article{SchwarzSchwarzCreutzburg2020, author = {Schwarz, Franziska and Schwarz, Klaus and Creutzburg, Reiner}, title = {Security and Privacy Investigation of Wi-Fi Connected and App-Controlled IoT-Based Consumer Market Smart Light Bulbs}, series = {Electronic Imaging}, journal = {Electronic Imaging}, publisher = {Society for Imaging Science and Technology}, address = {Springfield, VA}, issn = {2470-1173}, doi = {10.2352/ISSN.2470-1173.2020.3.MOBMU-275}, pages = {275-1 -- 275-11}, year = {2020}, language = {en} } @article{SchwarzSchwarzCreutzburg2020, author = {Schwarz, Franziska and Schwarz, Klaus and Creutzburg, Reiner}, title = {Conception of a Secure Remote Maintenance Procedure Using Dedicated Hardware}, series = {Electronic Imaging}, journal = {Electronic Imaging}, publisher = {Society for Imaging Science and Technology}, address = {Springfield, VA}, issn = {2470-1173}, doi = {10.2352/ISSN.2470-1173.2020.3.MOBMU-336}, pages = {336-1 -- 336-7}, year = {2020}, language = {en} }