@article{JohannsenKantCreutzburg2020, author = {Johannsen, Andreas and Kant, Daniel and Creutzburg, Reiner}, title = {Measuring IT security, compliance and data governance within small and medium-sized IT enterprises}, series = {IS and T International Symposium on Electronic Imaging Science and Technology}, journal = {IS and T International Symposium on Electronic Imaging Science and Technology}, publisher = {Society for Imaging Science and Technology (IS\&T)}, address = {Springfield, VA}, issn = {2470-1173}, doi = {10.2352/ISSN.2470-1173.2020.3.MOBMU-252}, pages = {252-1 -- 252-11}, year = {2020}, language = {en} } @article{JohnOrlowskiMrkoretal.2022, author = {John, Stefanie and Orlowski, Katja and Mrkor, Kai-Uwe and Edelmann-Nusser, J{\"u}rgen and Witte, Kerstin}, title = {Differences in hip muscle strength and static balance in patients with transfemoral amputations classified at different K-levels : A preliminary cross-sectional study}, series = {Canadian Prosthetics \& Orthotics Journal (CPOJ)}, volume = {Vol. 5}, journal = {Canadian Prosthetics \& Orthotics Journal (CPOJ)}, number = {No.1}, publisher = {University of Toronto Libraries}, issn = {2561-987X}, doi = {10.33137/cpoj.v5i1.37456}, year = {2022}, language = {en} } @article{JohnWeizelHeumannetal.2021, author = {John, Stefanie and Weizel, David and Heumann, Anna Sophie and Fischer, Anja and Orlowski, Katja and Mrkor, Kai-Uwe and Edelmann-Nusser, J{\"u}rgen and Witte, Kerstin}, title = {Persisting inter-limb differences in patients following total hip arthroplasty four to five years after surgery? A preliminary cross-sectional study}, series = {BMC Musculoskelet Disorders}, volume = {22}, journal = {BMC Musculoskelet Disorders}, publisher = {BioMed Central}, issn = {1471-2474}, doi = {10.1186/s12891-021-04099-7}, year = {2021}, language = {en} } @article{KantCreutzburgJohannsen2020, author = {Kant, Daniel and Creutzburg, Reiner and Johannsen, Andreas}, title = {Investigation of risks for Critical Infrastructures due to the exposure of SCADA systems and industrial controls on the Internet based on the search engine Shodan}, series = {IS and T International Symposium on Electronic Imaging Science and Technology}, journal = {IS and T International Symposium on Electronic Imaging Science and Technology}, publisher = {Society for Imaging Science and Technology (IS\&T)}, address = {Springfield, VA}, issn = {2470-1173}, doi = {10.2352/ISSN.2470-1173.2020.3.MOBMU-253}, pages = {253-1 -- 253-16}, year = {2020}, language = {en} } @article{KantJohannsenCreutzburg2021, author = {Kant, Daniel and Johannsen, Andreas and Creutzburg, Reiner}, title = {Analysis of IoT Security Risks based on the exposure of the MQTT Protocol}, series = {IS and T International Symposium on Electronic Imaging Science and Technology}, volume = {33}, journal = {IS and T International Symposium on Electronic Imaging Science and Technology}, publisher = {Society for Imaging Science and Technology (IS\&T)}, doi = {10.2352/ISSN.2470-1173.2021.3.MOBMU-096}, pages = {096-1 -- 096-8}, year = {2021}, language = {en} } @article{KhuntsariaGachechiladzeLipartaetal.2025, author = {Khuntsaria, Irakli and Gachechiladze, Konstantine and Liparta, Elene and Kobulashvili, Tamar and Jorbenadze, Mariam and Revazishvili, Tamaz and Mamiseishvili, Ana and Kekelia, Elene and Topuridze, Marina and Sturua, Lela and Schrader, Thomas and Kldiashvili, Ekaterina}, title = {Strategic implementation of HPV vaccination to eliminate cervical cancer in Georgia}, series = {Public Health in Practice}, volume = {2025}, journal = {Public Health in Practice}, number = {10}, publisher = {Elsevier}, doi = {10.1016/j.puhip.2025.100679}, pages = {1 -- 4}, year = {2025}, abstract = {Objectives Human Papillomavirus (HPV) is a prevalent sexually transmitted infection and a leading cause of cervical cancer. In Georgia, cervical cancer ranks as the fifth most common cancer among women, with approximately 330 new cases and 200 deaths reported annually. Despite the availability of effective HPV vaccines, national vaccination coverage remains low. This study aimed to evaluate HPV vaccination coverage, analyze cervical cancer incidence trends, and model the potential impact of increased vaccination uptake on cancer prevention outcomes in Georgia. Study design A retrospective observational study was conducted using national health registry data and modeling projections to assess the burden of cervical cancer and estimate the effect of scaled vaccination coverage. Methods National health databases were used to analyze HPV vaccination rates and cervical cancer incidence. Descriptive statistics, chi-square tests, and linear regression were applied to identify trends and disparities. Additionally, a dynamic transmission model was developed to simulate the 10-year impact of increasing HPV vaccination coverage on cervical cancer incidence. Results The crude cervical cancer incidence rate was 15.7 per 100,000 women, with an age-standardized rate of 10.6 per 100,000. In 2022, only 38 \% of eligible girls aged 13-18 received the first HPV vaccine dose, and 26 \% completed the second dose. Regional disparities in vaccination and screening were noted, and overall screening coverage declined to 13,890 women screened in 2022. Modeling showed that increasing vaccine coverage to 60 \% could reduce cervical cancer incidence by 50 \% (preventing ∼163 cases); coverage of 80 \% and 90 \% could reduce incidence by 70 \% and 85 \%, preventing 228 and 276 cases, respectively. Conclusion Low HPV vaccination uptake in Georgia (38 \% first dose and 26 \% dull coverage) and declining screening limit cervical cancer prevention. Modeling shows that increasing vaccination coverage to 60-90 \% could prevent 163-276 cases over the next decade. Strengthening vaccination and screening strategies is essential to move forward elimination.}, language = {en} } @article{LamshoeftNeubertHielscheretal.2022, author = {Lamsh{\"o}ft, Kevin and Neubert, Tom and Hielscher, Jonas and Vielhauer, Claus}, title = {Knock, knock, log: Threat analysis, detection \& mitigation of covert channels in syslog using port scans as cover}, series = {Forensic Science International: Digital Investigation}, volume = {40}, journal = {Forensic Science International: Digital Investigation}, publisher = {Elsevier}, issn = {2666-2817}, doi = {10.1016/j.fsidi.2022.301335}, year = {2022}, language = {en} } @inproceedings{LepperOehlerKinzleretal.2023, author = {Lepper, Markus and Oehler, Michael and Kinzler, Hartmuth and Tranc{\´o}n y Widemann, Baltasar}, title = {Mathematische Remodellierung zur Erforschung der exakten Semantik einfacher konventioneller Notationssysteme}, series = {Notation. Schnittstelle zwischen Komposition, Interpretation und Analyse. 19. Jahreskongress der Gesellschaft f{\"u}r Musiktheorie Z{\"u}rich 2019 (GMTH Proceedings 2019)}, booktitle = {Notation. Schnittstelle zwischen Komposition, Interpretation und Analyse. 19. Jahreskongress der Gesellschaft f{\"u}r Musiktheorie Z{\"u}rich 2019 (GMTH Proceedings 2019)}, publisher = {Gesellschaft f{\"u}r Musiktheorie (GMTH) e.V.}, doi = {10.31751/p.257}, pages = {69 -- 85}, year = {2023}, abstract = {Das Projekt semPart - Semantik der Partitur versucht, durch {\"U}bertragung von Methoden der Informatik auf die musikalische Notation exakte Aussagen {\"u}ber deren Semantik zu erzielen. Dies geschieht durch Remodellierung, also durch das Erstellen kleiner mathematischer Modelle, die jeweils das historisch-kulturell bestimmte Dekodieren von isolierten Parameter-Schichten eines Notates nachbilden. Erstes wichtiges Ergebnis ist, dass es in keinem Bereich jemals eine einzige ›richtige‹ Definition von Syntax und Semantik geben kann, sondern einen Katalog von vielf{\"a}ltigen theoretisch m{\"o}glichen und in der Praxis auch angetroffenen Varianten. Diese sind durch ihre Remodellierung exakt identifizier- und benennbar; ihre Gesamtheit bildet ein Raster, durch das Notationsstile und -werkzeuge beschreib- und vergleichbar werden. Dieses Raster und die Remodelle sind besonders politisch wichtig, zur F{\"o}rderung einer {\"o}ffentlichen Diskussion von Notationssystemen und ihren Eigenschaften, da zunehmend die Arbeitsweise von digitalen Werkzeugen die notationelle Praxis zu {\"u}berformen und zu filtrieren droht. The project semPart - Semantics of the Musical Score tries to clarify the semantics of musical notation by applying methods from informatics. This is done by remodelling, i. e., constructing small mathematical models that mimic the mentally and culturally determined processes taking place when decoding isolated parameters in musical notation. The first important result is that there can never be one single 'correct' definition of semantics in any area but rather a catalogue of many theoretically possible variants encountered in practice. Through their remodelling, these can be precisely identified and named; their totality constitutes a classification grid applicable to styles, corpora, single scores and digital tools such as editors or encoding standards. This grid and the remodels are of particular political importance in promoting a public discussion on notation systems and their characteristics, given that the increasing use of digital processing systems threatens to over-shape and narrow down notational practice.}, language = {de} } @article{LinkeMantkeCreutzburg2020, author = {Linke, Christian and Mantke, Ren{\´e} and Creutzburg, Reiner}, title = {International Biobanking Interface Service - A Concept forHealth Sciences in the Digital Age}, 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-304}, pages = {304-1 -- 304-6}, year = {2020}, language = {en} } @article{Loose2007, author = {Loose, Harald}, title = {Autonomous mobile robots for outdoor tasks}, series = {Mechanika}, volume = {68}, journal = {Mechanika}, number = {6}, publisher = {Kaunas University of Technology}, address = {Kaunas}, doi = {10.5755/j02.mech.36230}, pages = {70 -- 73}, year = {2007}, abstract = {This paper presents a low-cost hardware platform for outdoor robots, being suitable for education, industrial prototyping and private use. The choice of components is discussed, including platform, sensors and controller as well as GPS and image processing hardware. Furthermore, a software approach is proposed, allowing students and researchers to easily implement own algorithms for localization, navigation and the tasks to fulfill. Several robots can be integrated in a framework which connects various different hardware platforms, called the BOSPORUS network. Together with other components, they form an intelligent network for gathering sensor and image data, sensor data fusion, navigation and control of mobile platforms. The architecture of a reference platform on the campus of the Brandenburg University of Applied Sciences is presented and evaluated.}, language = {en} } @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} }