TY - JOUR A1 - Levina, Olga A1 - Lindauer, Friederike A1 - Revina, Aleksandra T1 - A Participatory Workshop Design for Engaging Young People in IT Sustainability JF - Education Science N2 - This paper presents an approach to teaching and consolidating skills in the context of sustainability “Prototyping Sustainability–Designing Sustainable IT” (ProS), using the workshop format for participatory and creative learning. The workshop integrates principles from Education for Sustainable Development (ESD), transformative and experiential learning, participatory design, and critical reflection on the digital age to engage participants in critically examining the environmental, economic, and social impacts of digital technologies in the context of Sustainable Development Goals (SDGs). Structured in five modular phases, from self-reflection and knowledge activation to collaborative prototyping and peer evaluation, the workshop offers a hands-on, gamified learning experience centred on real-world sustainability challenges. Learners create user-centred paper-based prototypes for digital products using tactile materials, persona-driven scenarios and knowledge of sustainable product characteristics gained in the workshop. Outcome measurement is supported through pre- and post-workshop surveys, peer voting templates, and paper-based prototype artefacts, enabling rich insight into behavioural intentions and learning gains. The paper discusses the educational value and sustainability relevance of the workshop engaging young people in critically reflecting on the environmental, economic, and social consequences of digitalization. Finally, it highlights challenges and limitations and proposes directions for future research. Y1 - 2025 U6 - https://doi.org/10.3390/educsci15121570 IS - 15 (12) PB - MDPI ER - TY - JOUR A1 - Puzyrev, Dmitry A1 - Trittel, Torsten A1 - Harth, Kirsten A1 - Sata, Sai Preetham A1 - Stannarius, Ralf A1 - Cruz Hidalgo, Raúl ED - Alam, M. ED - Das, S.L. ED - Bose, M. ED - Murthy, T.G. ED - Chikkadi, V. ED - Singh, A. ED - Luding, S. T1 - AI-aided visual data analysis for granular gases: Complex particles, high density, and other challenges JF - EPJ Web of Conferences N2 - Microgravity experiments with three-dimensional (3D) granular gases, i.e., ensembles of freemoving macroscopic particles which collide inelastically, produce large amounts of stereo video footage which require processing and analysis. The main steps of data treatment are particle detection, 3D matching and tracking in stereoscopic views, and quantification of ensemble statistical properties such as, e.g. mean kinetic energy or collision processes. Frequent overlapping or clustering of particles and their complicated movement patterns require smart software solutions. In recent years, Artificial Intelligence/Machine Learning (AI/ML) methods were successfully used for analysis of granular systems. We have applied such techniques to the granular gases of rod-like particles and developed a software tool which enables a full cycle of semi-automatic experimental data analysis. The approach is now tested on more complex, non-convex particles, shaped as 3D crosses (hexapods). Another challenge is optical analysis of dense granular gases, where individual particles cannot be tracked. We present a preliminary result of application of an ML method for number density profiles extraction in VIP-Gran experiment with dense ensemble of rod-like particles. Y1 - 2025 U6 - https://doi.org/10.1051/epjconf/202534012013 VL - 340 PB - EDP Sciences ER - TY - JOUR A1 - Yüksel, Benjamin A1 - Schwarz, Klaus A1 - Creutzburg, Reiner T1 - AI-based anomaly detection for cyberattacks on Windows systems-Creation of a prototype for automated monitoring of the process environment JF - Electronic Imaging KW - anomaly detection KW - artificial intelligence KW - Automated Windows system monitoring KW - cybersecurity KW - machine learning KW - neural networks Y1 - 2020 U6 - https://doi.org/10.2352/ISSN.2470-1173.2020.3.MOBMU-331 SN - 2470-1173 SP - 331-1 EP - 331-13 PB - Society for Imaging Science and Technology CY - Springfield, VA ER - TY - CHAP A1 - Lindauer, Friederike A1 - Damus, Martha A1 - Winkel, Carmen A1 - Frosch, Katharina T1 - AI-Driven Communication Training for Cybersecurity with the Talk to Transform Simulator T2 - KI-Forum 2025 : KI in Forschung und Lehre an Hochschulen N2 - Effective communication skills are increasingly recognized as critical for leadership in digital transformation contexts. Recently, AI-Chatbots such as Talk to Transform (T2T) have been developed to enhance leadership competencies through interactive role-plays and feedback. This paper proposes their adaptation for cybersecurity training. We discuss the current landscape of cybersecurity training, highlight the importance of communication, and present T2T as an innovative approach to bridge this gap through chatbot-driven role-plays. Y1 - 2025 U6 - https://doi.org/10.25968/opus-3790 PB - HsH Applied Academics ER - TY - JOUR A1 - Pfeiffer, Thomas A1 - Dilip, Khadse Himanshu A1 - Suryawanshi, Raunak A1 - Kishnamurthy, Gnana Swaroop A1 - Téllez, Batcheva Domínguez A1 - Creutzburg, Reiner A1 - Hartmann, Michael T1 - Airflow visualization and air purifier positioning optimization in potentially COVID-19 contaminated classrooms JF - Electronic Imaging KW - Covid-19 KW - aeroso KW - airflow visualization Y1 - 2021 U6 - https://doi.org/10.2352/ISSN.2470-1173.2021.3.MOBMU-039 SN - 2470-1173 SP - 39-1 EP - 39-15 PB - Society for Imaging Science and Technology CY - Springfield, VA ER - TY - JOUR A1 - Fitz, Lukas R. G. A1 - Scheeg, Jochen T1 - Alternative digital platforms: comparative analysis through the lens of Corporate Aikido JF - Information Systems and e-Business Management N2 - Competing with dominant players in the digital platform (DP) economy is an increasingly complex and expensive endeavor for alternative digital platform (ADP) providers trying to disrupt established platform ecosystems. Nevertheless, ADPs position themselves deliberately in the competitive space of large competitors, targeting customer groups whose values and mindsets differ from mainstream DPs. Although there are many examples to find in practice, the variety of ADPs across different DP ecosystems and industries, especially in regards of strategic objectives, directions and characteristics, has not been researched in-depth yet. Based on a systematic, practice-based artifact review, this paper analyses and compares 105 ADPs in the competitive space of dominant DP ecosystem players. The study utilizes the theory of Corporate Aikido as an analytical framework, mapping the strategic elements of overthrowing established value propositions and turning a competitors’ strengths into weaknesses. Our findings indicate that privacy- and security-awareness, empowerment and inclusivity, premium quality and curation, open source and free access, uncensored, transparent and decentralized platforms as well as ecological and climate-friendly offers shape the landscape of alternative approaches in today’s DP economy. The results are subsequently discussed, yielding managerial implications and future opportunities for DP research. Y1 - 2025 U6 - https://doi.org/10.1007/s10257-025-00703-8 SP - 1 EP - 22 PB - Springer ER - TY - JOUR A1 - Fitz, Lukas R. G. A1 - Scheeg, Michaela A1 - Scheeg, Jochen T1 - Amplifying Human Factors in the Inquiry of SMEs’ Needs in Digitalization Collaborations with External Service Providers BT - 3rd International Conference on Industry 4.0 and Smart Manufacturing JF - Procedia Computer Science KW - Digitalization KW - SME KW - Human-Centered Design KW - Open Innovation Y1 - 2022 U6 - https://doi.org/10.1016/j.procs.2022.01.257 SN - 1877-0509 VL - 200 SP - 595 EP - 601 PB - Elsevier ER - TY - JOUR A1 - Kant, Daniel A1 - Johannsen, Andreas A1 - Creutzburg, Reiner T1 - Analysis of IoT Security Risks based on the exposure of the MQTT Protocol JF - IS and T International Symposium on Electronic Imaging Science and Technology KW - Internet of Things KW - Industrial Internet of Thing KW - IoT KW - IIoT KW - MQTT KW - IoT protocol KW - IIoT protocol KW - IoT security KW - IIoT security KW - MQTT vulnerability Y1 - 2021 UR - https://itwirtschaft.de/wp-content/uploads/2021/02/2021_Electronic-Imaging_IoT_Security-BASIC-1.pdf U6 - https://doi.org/10.2352/ISSN.2470-1173.2021.3.MOBMU-096 N1 - Paper was created within the German program "Mittelstand (SME) 4.0 - Competence Center for IT Economy" of the Ministry for Economic Affairs and Energy VL - 33 SP - 096-1 EP - 096-8 PB - Society for Imaging Science and Technology (IS&T) ER - TY - INPR A1 - Markgraf, Klaus A1 - Müller, Katja A1 - Henkel, Clara A1 - Flassig, Robert A1 - Janke, Christian A1 - Flassig, Peter T1 - Application of Explainable Artificial Intelligence (XAI) in Combination with Bootstrap to Improve Processes in Model-Based Aero-Engine Development N2 - In aerospace engineering, data-driven surrogate models are increasingly employed to mitigate the computational and temporal costs of simulations, numerical analyses, and experiments. Two major challenges accompany this trend. First, the training of surrogate models often requires a sufficient amount of data, the determination of which is inherently difficult. Second, these models often exhibit high complexity, limiting both the traceability of their outputs and the extraction of useful insights. Explainable Artificial Intelligence (XAI) methods have therefore emerged as promising tools to enhance the interpretability, explainability, and transparency of such models. In this work, a combination of the established Shapley Additive Explanations (SHAP) approach with a bootstrap-based method is investigated. The proposed framework provides insights into the contribution of individual features and enables an assessment of data sufficiency with respect to surrogate model performance. Building upon these findings, the Bootstrap-Informed Feature Importance (BIFI) method is proposed. BIFI offers a model-agnostic, robust identification of relevant features.The method is analyzed in the context of Design of Experiments (DOE) processes used for surrogate model construction. Evaluation on four synthetic datasets of increasing complexity, as well as a dataset from aero-engine development, demonstrates that BIFI-based DOEs can improve surrogate model quality measured in terms of R and MSE by up to 90%. Consequently, the proposed method enables more efficient utilization of simulations, computations, and experiments while reducing the required number of samples. Y1 - 2026 U6 - https://doi.org/10.21203/rs.3.rs-8590595/v1 SP - 1 EP - 23 ER - TY - JOUR A1 - Rizun, Nina A1 - Revina, Aleksandra A1 - Meister, Vera G. T1 - Assessing business process complexity based on textual data: Evidence from ITIL IT ticket processing JF - Business Process Management Journal KW - Business process management KW - Business process complexity KW - Natural language processing KW - Situation awareness KW - Decision support KW - ITIL IT ticket Y1 - 2021 U6 - https://doi.org/10.1108/BPMJ-04-2021-0217 SN - 1758-4116 VL - 27 IS - 7 SP - 1966 EP - 1998 PB - Emerald ER - TY - INPR A1 - Tuset-Peiro, Pere A1 - Pilgermann, Michael A1 - Pegueroles, Josep A1 - Vilajosana, Xavier T1 - Assessing Cybersecurity of Internet-Facing Medical IT Systems in Germany & Spain Using OSINT Tools N2 - This paper investigates cybersecurity threats in medical IT (Information Technology) systems exposed to the Internet. To that end, we develop a methodology and build a data processing pipeline that allows to gather data from different OSINT (Open Source Intelligence) sources, and processes it to obtain relevant cybersecurity metrics. To validate its operation and usefulness, we apply it to two countries, Germany and Spain, allowing to study the main threats that affect medical IT systems in these countries. Our initial findings reveal that 20% of German hosts and 15% of Spanish hosts tagged as medical devices have at least one CVE (Common Vulnerabilities and Exposures) with a CVSS (Common Vulnerability Scoring System) graded as critical (i.e., value 8 or greater). Moreover, we found that 74% of CVEs found in German hosts are dated from earlier than 2020, whereas for Spanish hosts the percentage is 60%. This indicates that medical IT systems exposed to the Internet are seldom updated, which further increases their exposure to cyberthreats. Based on these initial findings, we finish the paper providing some insights on how to improve cybersecurity of these systems. Y1 - 2025 U6 - https://doi.org/10.20944/preprints202503.1340.v1 SP - 190 EP - 197 ER - TY - JOUR A1 - Weber, Simon B. A1 - Stein, Stefan A1 - Pilgermann, Michael A1 - Schrader, Thomas T1 - Attack Detection for Medical Cyber-Physical Systems – A Systematic Literature Review JF - IEEE Access N2 - The threat situation due to cyber attacks in hospitals is emerging and patient life is at risk. One significant source of potential vulnerabilities is medical cyber-physical systems (MCPS). Detecting intrusions in this environment faces challenges different from other domains, mainly due to the heterogeneity of devices, the diversity of connectivity types, and the variety of terminology. To summarize existing results, we conducted a structured literature review (SLR) following the guidelines of Kitchenham et al. for SLRs in software engineering. We developed six research questions regarding detection approach, detection location, included features, adversarial focus, utilized datasets, and intrusion prevention. We identified that most researchers focused on an anomaly-based detection approach at the network layer. The primary focus was on the detection of malicious insiders. While several researchers used publicly available datasets for training and testing their algorithms, the lack of suitable datasets resulted in the development of testbeds consisting of various medical devices. Based on the results, we formulated five future research topics. First, the special conditions of hospital networks, the MCPS deployed within them, and the contrasts to other IT and OT environments should be examined. Thereupon, MCPS-specific datasets should be created that allow researchers to address the health domain’s unique requirements and possibilities. At the same time, endeavors aimed at standardization in this area should be supported and expanded. Moreover, the use of medical context for attack detection should be further explored. Last but not least, efforts for MCPS-tailored intrusion prevention should be intensified. This way, the emerging threat landscape can be addressed, IT security in hospitals can be improved, and patient health can be protected. Y1 - 2023 U6 - https://doi.org/10.1109/ACCESS.2023.3270225 IS - 11 SP - 41796 EP - 41815 PB - IEEE ER - TY - JOUR A1 - Regehly, Martin A1 - Hecht, Stefan T1 - Auf dem Weg zum Replikator BT - volumetrischer 3D-Druck JF - Physik in unserer Zeit KW - Xolographie KW - 3D-Druck KW - Additive Fertigung KW - volumetrisch KW - Photoschalter KW - Lichtschnitt Y1 - 2022 U6 - https://doi.org/10.1002/piuz.202201637 SN - 1521-3943 SN - 1521-3943 (eISSN) VL - 53 IS - 3 SP - 125 EP - 131 PB - Wiley-VCH GmbH ER - TY - JOUR A1 - Loose, Harald T1 - Autonomous mobile robots for outdoor tasks JF - Mechanika N2 - 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. Y1 - 2007 U6 - https://doi.org/10.5755/j02.mech.36230 VL - 68 IS - 6 SP - 70 EP - 73 PB - Kaunas University of Technology CY - Kaunas ER - TY - JOUR A1 - Tumarkin, Andrey A1 - Tyurnina, Natalya A1 - Tyurnina, Zoya A1 - Mukhin, Nikolay A1 - Sinelshchikova, Olga A1 - Gagarin, Alexander A1 - Sviridov, Sergey A1 - Drozdovsky, Andrey A1 - Sapego, Eugeny A1 - Mylnikov, Ivan T1 - Barium-Strontium Titanate/Porous Glass Structures for Microwave Applications JF - Materials KW - glass-ceramic structures KW - filling of porous material KW - microwave KW - barium-strontium titanate Y1 - 2020 U6 - https://doi.org/10.3390/ma13245639 VL - 13 IS - 24 PB - MDPI ER - TY - JOUR A1 - Vollmer, Michael T1 - Below the horizon-the physics of extreme visual ranges JF - Applied Optics Y1 - 2020 U6 - https://doi.org/10.1364/AO.390654 VL - 59 IS - 21 SP - F11 EP - F19 PB - Optica Publishing Group ER - TY - JOUR A1 - Weimer, Katja A1 - Buschhart, Cliff A1 - Broelz, Ellen K. A1 - Enck, Paul A1 - Horing, Björn T1 - Bibliometric Properties of Placebo Literature From the JIPS Database: A Descriptive Study JF - Frontiers in Psychiatry Y1 - 2022 U6 - https://doi.org/10.3389/fpsyt.2022.853953 SN - 1664-0640 VL - 13 PB - Frontiers Research Foundation ER - TY - CHAP A1 - Pepe, Alberto A1 - Lasenby, Joan A1 - Buchholz, Sven T1 - CGAPoseNet+GCAN: A Geometric Clifford Algebra Network for Geometry-aware Camera Pose Regression T2 - Winter Conference on Applications of Computer Vision, Waikoloa, Hawaii, US, 2024 N2 - 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. Y1 - 2024 U6 - https://doi.org/10.1109/WACV57701.2024.00646 SP - 6593 EP - 6603 PB - IEEE ER - TY - JOUR A1 - Jechow, Andreas A1 - Bumberger, Jan A1 - Palm, Bert A1 - Remmler, Paul A1 - Schreck, Günter A1 - Ogashawara, Igor A1 - Kiel, Christine A1 - Kohnert, Katrin A1 - Grossart, Hans-Peter A1 - Singer, Gabirel A. A1 - Nejstgaard, Jens C. A1 - Wollrab, Sabine A1 - Berger, Stella A. A1 - Hölker, Franz T1 - Characterizing and Implementing the Hamamatsu C12880MA Mini-Spectrometer for Near-Surface Reflectance Measurements of Inland Waters JF - Sensors N2 - In recent decades, inland water remote sensing has seen growing interest and very strong development. This includes improved spatial resolution, increased revisiting times, advanced multispectral sensors and recently even hyperspectral sensors. However, inland waters are more challenging than oceanic waters due to their higher complexity of optically active constituents and stronger adjacency effects due to their small size and nearby vegetation and built structures. Thus, bio-optical modeling of inland waters requires higher ground-truthing efforts. Large-scale ground-based sensor networks that are robust, self-sufficient, non-maintenance-intensive and low-cost could assist this otherwise labor-intensive task. Furthermore, most existing sensor systems are rather expensive, precluding their employability. Recently, low-cost mini-spectrometers have become widely available, which could potentially solve this issue. In this study, we analyze the characteristics of such a mini-spectrometer, the Hamamatsu C12880MA, and test it regarding its application in measuring water-leaving radiance near the surface. Overall, the measurements performed in the laboratory and in the field show that the system is very suitable for the targeted application. Y1 - 2024 U6 - https://doi.org/10.3390/s24196445 VL - 24 IS - 19 SP - 1 EP - 14 PB - MDPI 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 - JOUR A1 - Klopp, Christoph A1 - Trittel, Torsten A1 - Stannarius, Ralf T1 - Coarsening of quasi two-dimensional emulsions formed by islands in free-standing smectic films JF - ChemPhysChem N2 - We study the coarsening behavior of assemblies of islands on smectic A freely suspended films in ISS microgravity experiments. The islands can be regarded as liquid inclusions in a two-dimensional fluid in analogy to liquid droplets of the discontinuous phase of an emulsion. The coarsening is effectuated by two processes, predominantly by island coalescence, but to some extend also by Ostwald ripening, whereby large islands grow at the expense of surrounding smaller ones. A peculiarity of this system is that the continuous and the discontinuous phases consist of the same material. We determine the dynamics, analyze the self-similar aging of the island size distribution and discuss characteristic exponents of the mean island growth. Y1 - 2024 U6 - https://doi.org/10.1002/cphc.202400166 VL - 25 IS - 12 SP - 1 EP - 12 PB - Wiley ER - 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 - JOUR A1 - Mukhin, Nikolay A1 - Sokolova, Irina A1 - Chigirev, Dmitry A1 - Rudaja, Lyudmila A1 - Lebedeva, Galina A1 - Kastro, Rene A1 - Bol’shakov, Maxim A1 - Schmidt, Marc-Peter A1 - Hirsch, Sören T1 - Composite Ferroelectric Coatings Based on a Heat-Resistant Polybenzoxazole Polymer Matrix JF - Coatings KW - lead zirconate titanate KW - poly(o-hydroxy amide) KW - 4,4-(hexafluoroisopropylidene) dianiline KW - 5,5-methylene bis(2-aminophenol) KW - poly(o-hydroxyamide) KW - composite ferroelectric coatings KW - thermal stability of dielectric properties Y1 - 2020 U6 - https://doi.org/10.3390/coatings10030286 VL - 10 IS - 3 SP - 286 PB - MDPI ER - TY - JOUR A1 - Pilgermann, Michael A1 - Bocklisch, Thomas A1 - Creutzburg, Reiner T1 - Conception and implementation of a course for professional training and education in the field of IoT and smart home security JF - Electronic Imaging KW - Internet of Things KW - IoT KW - Smart Home KW - Smart Home Security KW - Cybersecurity KW - Connected Home Y1 - 2020 U6 - https://doi.org/10.2352/ISSN.2470-1173.2020.3.MOBMU-277 SN - 2470-1173 SP - 277-1 EP - 277-8 PB - Society for Imaging Science and Technology ER - TY - JOUR A1 - Richter, Maximilian A1 - Schwarz, Klaus A1 - Creutzburg, Reiner T1 - Conception and Implementation of Professional Laboratory Exercises in the field of ICS/SCADA Security - Part I: Fundamentals JF - Electronic imaging KW - Blue Team KW - Censys KW - Maltego KW - OSINT KW - Red Team KW - Shodan KW - cybersecurity KW - open source intelligence Y1 - 2021 U6 - https://doi.org/10.2352/ISSN.2470-1173.2021.3.MOBMU-073 SP - 73-1 EP - 73-13 PB - Society for Imaging Science and Technology ER - TY - JOUR A1 - Richter, Maximilian A1 - Schwarz, Klaus A1 - Creutzburg, Reiner T1 - Conception and Implementation of Professional Laboratory Exercises in the field of ICS/SCADA Security Part II: Red Teaming and Blue Teaming JF - Electronic Imaging KW - Blue Team KW - Censys KW - Maltego KW - OSINT KW - Red Team KW - Shodan KW - cybersecurity KW - open source intelligence Y1 - 2021 U6 - https://doi.org/10.2352/ISSN.2470-1173.2021.3.MOBMU-074 SN - 2470-1173 SP - 74-1 EP - 74-13 PB - Society for Imaging Science and Technology CY - Springfield, VA ER - TY - JOUR A1 - Schwarz, Klaus A1 - Schwarz, Franziska A1 - Creutzburg, Reiner T1 - Conception and implementation of professional laboratory exercises in the field of open source intelligence (OSINT) JF - Electronic Imaging KW - Open Source Intelligence KW - OSINT KW - cybersecurity KW - Shodan KW - PassiveTotal KW - Censys KW - Maltego Y1 - 2020 U6 - https://doi.org/10.2352/ISSN.2470-1173.2020.3.MOBMU-278 SN - 2470-1173 SP - 278-1 EP - 278-10 PB - Society for Imaging Science and Technology CY - Springfield, VA ER - TY - JOUR A1 - Schwarz, Franziska A1 - Schwarz, Klaus A1 - Creutzburg, Reiner T1 - Conception of a Secure Remote Maintenance Procedure Using Dedicated Hardware JF - Electronic Imaging KW - secure remote service KW - secure remote control KW - firewall KW - critical infrastructure maintenance KW - cybersecurity KW - secure remote desktop KW - healthcare security KW - security Y1 - 2020 U6 - https://doi.org/10.2352/ISSN.2470-1173.2020.3.MOBMU-336 SN - 2470-1173 SP - 336-1 EP - 336-7 PB - Society for Imaging Science and Technology CY - Springfield, VA ER - TY - JOUR A1 - Kolláth, Zoltán A1 - Hajdu, Tamás A1 - Degen, Tobias A1 - Jechow, Andreas A1 - Sztakovics, János T1 - Conversion between measurement units used for night sky quality assessment with multispectral (RGB) cameras JF - Journal of Quantitative Spectroscopy and Radiative Transfer N2 - In recent years, many studies have shown that light pollution adversely affects wildlife, ecosystems, and human well-being. To assess and mitigate these impacts, it is crucial that measurements of night sky quality are reliable and comparable across sites and instruments. However, the lack of standardised night sky brightness metrology and the use of a wide variety of measurement instruments with varying spectral responsivity and field-specific measurement units hinder meaningful comparison. We collected night sky spectra from 44 nights at dark locations (existing and proposed dark sky parks). Based on this observational dataset, we created a larger random set of spectra. These data served to fit conversion parameters for a wide variety of units. We demonstrate that RGB cameras, when used as multichannel measuring devices, enable the retrieval of measurements that facilitate conversions between different units. Furthermore, even airglow can be quantified from a given measurement, enabling the determination of oxygen and sodium emission line contributions. Since this contribution is not negligible, quantitative measurements of its magnitude are crucial for accurately assessing light pollution at dark-sky sites. Using our spectral measurement database, we constructed the most probable transformation from the cameras’ R, G, and B channel 𝑑𝑠𝑢 values to other units, such as the astronomical Bessel V band magnitudes. The unit conversion formulas provided in this paper are valid for mildly polluted sites (existing and proposed dark sky places), in the 21-22 magV∕arcsec2 range. Y1 - 2025 U6 - https://doi.org/10.1016/j.jqsrt.2025.109636 VL - 347 SP - 1 EP - 10 PB - Elsevier ER - TY - JOUR A1 - Puzyrev, Dmitry A1 - Torsten, Torsten A1 - Harth, Kirsten A1 - Stannarius, Ralf T1 - Cooling of a granular gas mixture in microgravity JF - npj microgravity N2 - Granular gases are fascinating non-equilibrium systems with interesting features such as spontaneous clustering and non-Gaussian velocity distributions. Mixtures of different components represent a much more natural composition than monodisperse ensembles but attracted comparably little attention so far. We present the observation and characterization of a mixture of rod-like particles with different sizes and masses in a drop tower experiment. Kinetic energy decay rates during granular cooling and collision rates were determined and Haff’s law for homogeneous granular cooling was confirmed. Thereby, energy equipartition between the mixture components and between individual degrees of freedom is violated. Heavier particles keep a slightly higher average kinetic energy than lighter ones. Experimental results are supported by numerical simulations. Y1 - 2024 U6 - https://doi.org/10.1038/s41526-024-00369-5 VL - 10 IS - 1 SP - 1 EP - 9 PB - Springer CY - Brandenburg an der Havel ER - TY - JOUR A1 - Fitz, Lukas R. G. A1 - Scheeg, Jochen T1 - Coping Practices of Small- and Medium-Sized Enterprises Facing Power Asymmetry in Digital Platform Business JF - Strategic Change N2 - Digital platform (DP) enterprises have risen to the top of the global economy by inverting traditional business models. They earn money through matchmaking, transaction facilitation, and efficient orchestration of other stakeholders' resources. Small- and medium-sized enterprises (SMEs) play a decisive role in this success story: they offer products and services on many leading DPs and thereby feed platform networks as sellers and suppliers. On the other hand, while DPs enable SMEs to reach new customers and outsource costly managerial tasks, many SMEs struggle with the negative consequences of asymmetric power dynamics and dependency risks in platform business. This paper analyzes 14 cases of SMEs that face power asymmetry as DP value providers, unraveling challenges encountered and coping practices employed in this situation. The findings reveal that power asymmetry between dominant DPs and SMEs creates significant challenges, including exploitative relationships, loss of autonomy, surveillance pressures, and devaluation of SME contributions, while SMEs cope through disintermediation, multi-homing, individual resistance tactics, and striving for more equitable DP models. Moreover, three relationality types are identified: DPs being SMEs' “partners,” “tools,” and “necessary evil.” This article offers a new perspective on boundaries of SME strategies in the DP economy and contributes with empirical insights to the advancing field of entrepreneurial platform research. Y1 - 2025 U6 - https://doi.org/10.1002/jsc.2657 SP - 1 EP - 21 PB - Wiley ER - TY - JOUR A1 - Hasche, Eberhard A1 - Benning, Dominik A1 - Karaschewski, Oliver A1 - Carstens, Florian A1 - Creutzburg, Reiner T1 - Creating high-resolution 360-degree single-line 25K video content for modern conference rooms using film compositing techniques JF - Electronic Imaging KW - 360 panorama KW - VR an AR KW - film compsiting KW - high resolution panorama Y1 - 2020 U6 - https://doi.org/10.2352/ISSN.2470-1173.2020.3.MOBMU-206 SN - 2470-1173 SP - 206-1 EP - 206-14 PB - Society for Imaging Science and Technology ER - TY - JOUR A1 - Sata, Sai Preetham A1 - Stannarius, Ralf A1 - Puzyrev, Dmitry T1 - Criteria for dynamical clustering in permanently excited granular gases: comparison and estimation with machine learning approaches JF - Granular Matter N2 - When granular gases in microgravity are continuously excited mechanically, spatial inhomogeneities of the particle distribution can emerge. At a sufficiently large overall packing fraction, a significant share of particles tend to concentrate in strongly overpopulated regions, so-called clusters, far from the excitation sources. This dynamical clustering is caused by a complex balance between energy influx and dissipation. The mean number density of particles, the geometry of the container, and the excitation strength influence cluster formation. A quantification of clustering thresholds is not trivial. We generate ‘synthetic’ data sets by Discrete Element Method simulations of frictional spheres in a cuboid container and apply established criteria to classify the local packing fraction profiles. Machine learning approaches that predict dynamic clustering from known system parameters on the basis of classical test criteria areoposed and tested. It avoids the necessity of complex numerical simulations. Y1 - 2025 U6 - https://doi.org/10.1007/s10035-025-01560-5 VL - 27 IS - 4 PB - Springer ER - TY - JOUR A1 - Widjaja, Agnes S. N. A1 - Löwe, Katharina A1 - Costa, Felipe Salerno T1 - Design and simulation of a concentrated solar thermal system with an integrated concrete storage for continuous heat supply JF - Energy Procedia KW - Concentrated solar thermal system KW - process heat supply KW - Concrete storage KW - Economic feasibility Study Y1 - 2018 U6 - https://doi.org/10.1016/j.egypro.2018.11.062 VL - 155 SP - 121 EP - 135 ER - TY - JOUR A1 - Schwarz, Klaus A1 - Creutzburg, Reiner T1 - Design of Professional Laboratory Exercises for Effective State-of-the-Art OSINT Investigation Tools - Part 1: RiskIQ Passive-Total JF - Electronic imaging KW - Censys KW - Maltego KW - OSINT KW - RiskIQ PassiveTotal KW - Shodan KW - big data KW - cybersecurity training KW - open-source intelligence Y1 - 2021 U6 - https://doi.org/10.2352/ISSN.2470-1173.2021.3.MOBMU-043 SN - 2470-1173 SP - 43-1 EP - 43-7 PB - Society for Imaging Science and Technology CY - Springfield, VA ER - TY - JOUR A1 - Schwarz, Klaus A1 - Creutzburg, Reiner T1 - Design of Professional Laboratory Exercises for Effective State-of-the-Art OSINT Investigation Tools - Part 2: Censys JF - Electronic Imaging KW - Censys KW - Maltego KW - OSINT KW - RiskIQ PassiveTotal KW - Shodan KW - big data KW - cybersecurity training KW - open-source intelligence Y1 - 2021 U6 - https://doi.org/10.2352/ISSN.2470-1173.2021.3.MOBMU-044 SN - 2470-1173 SP - 44-1 EP - 44-8 PB - Society for Imaging Science and Technology CY - Springfield, VA ER - TY - JOUR A1 - Schwarz, Klaus A1 - Creutzburg, Reiner T1 - Design of Professional Laboratory Exercises for Effective State-of-the-Art OSINT Investigation Tools - Part 3: Maltego JF - Electronic Imaging KW - 3D Saliency KW - Censys KW - Convolutional Neural Network KW - Human Visual System KW - Maltego KW - OSINT KW - RiskIQ PassiveTotal KW - Shodan KW - Stereoscopic image quality assessment KW - big data KW - cybersecurity training KW - open-source intelligence Y1 - 2021 U6 - https://doi.org/10.2352/ISSN.2470-1173.2021.3.MOBMU-045 SP - 45-1 EP - 45-23 PB - Society for Imaging Science and Technology CY - Springfield, VA ER - TY - JOUR A1 - Beck, Eberhard A1 - Tetzlaff, Laura A1 - Schröder, Cornelia A1 - Schrader, Thomas T1 - Die Datenqualität des CIRSmedical – geeignet für eine systematische Analyse? JF - GMS Medizinische Informatik, Biometrie und Epidemiologie T2 - The data quality of CIRSmedical – suitable for a systematic analysis? Y1 - 2018 U6 - https://doi.org/10.3205/mibe000188 VL - 14 IS - 2 SP - Doc10-1 EP - Doc10-9 ER - TY - JOUR A1 - John, Stefanie A1 - Orlowski, Katja A1 - Mrkor, Kai-Uwe A1 - Edelmann-Nusser, Jürgen A1 - Witte, Kerstin T1 - Differences in hip muscle strength and static balance in patients with transfemoral amputations classified at different K-levels : A preliminary cross-sectional study JF - Canadian Prosthetics & Orthotics Journal (CPOJ) KW - Amputation KW - K-level KW - Balance KW - Transfemoral amputation KW - Muscle strength KW - Residual limb KW - Static balance Y1 - 2022 U6 - https://doi.org/10.33137/cpoj.v5i1.37456 SN - 2561-987X VL - Vol. 5 IS - No.1 PB - University of Toronto Libraries ER - TY - CHAP A1 - Doudkin, Alexander A1 - Kindsmüller, Martin Christof T1 - Do not touch! - An artistic climate data visualization using motion capturing and 3D computer graphics T2 - Mensch und Computer 2024 – Workshopband, Gesellschaft für Informatik e.V., 01.-04. September 2024, Karlsruhe, German N2 - This demo explores an innovative artistic installation that creatively visualizes global temperature data using graphical visualization and motion capture technologies. By combining video-based posture capturing of nearby individuals with a dynamically rendered 3D model of the planet Earth, this installation offers an interactive and immersive experience. The goal is to transform climate change data into an engaging visual format, making it more accessible and impactful for a wide range of audiences. Y1 - 2024 U6 - https://doi.org/10.18420/muc2024-mci-demo-319 SP - 1 EP - 3 PB - Gesellschaft für Informatik e.V. CY - Karlsruhe ER - TY - JOUR A1 - Mukhin, N.V. A1 - Redka, D. N. A1 - Tarasov, S. A. A1 - Oseev, A. Yu. A1 - Hirsch, Sören T1 - Two-Dimensional Periodic Composite Structure for Acoustic Sensor of Volumetric Properties of Liquids T1 - Dvumernaja periodičeskaja kompozitnaja struktura dlja akustičeskogo datčika ob"emnych svojstv židkosti JF - Journal of the Russian Universities. Radioelectronics JF - Izvestija vysšich učebnych zavedenij Rossii : radioėlektronika Y1 - 2018 U6 - https://doi.org/10.32603/1993-8985-2018-21-1-56-63 IS - 1 SP - 56 EP - 63 ER - TY - JOUR A1 - Vaher, Ivi A1 - Tamm, Anna-Liisa A1 - Salus, Marit A1 - Reisberg, Kirkke A1 - Vähi, Aleksandra A1 - Pallon, Helena A1 - Paeste, Andra A1 - Pirk, Bäthel-Betty A1 - Merila, Margus A1 - Schrader, Thomas T1 - Effectiveness of massage chair and classic massage in recovery from physical exertion: a pilot study JF - Journal of Novel Physiotherapy and Rehabilitation N2 - Quick and cost-effective recovery is foundational to high-quality training and good competition results in today’s sports. The aim of the research was to elucidate the effects of hand and massage chair massage on the biomechanical parameters of muscles of lower limbs and back, indicators of Pain Pressure Thresholds (PPT) and subjectively perceived fatigue. A total of 32 female recreational athletes (18 – 50 years old) were assigned to a hand massage, massage chair, or lying down the group. They were measured for muscle biomechanical properties (MyotonPro), PPT (Wagner Instruments) and subjectively perceived fatigue (VAS scale) before and after fatigue tests and treatment. The recovery procedure and subjective satisfaction with treatment were rated on a Likert scale. Changes in the median value of m. rectus femoris and m. gastrocnemius stiffness with treatment showed that hand massage could be more effective in reducing stiffness, as compared to chair massage. Hand massage may have benefits for recovery from physical exertion, but due to the individuality of subjects, detailed methodological studies are needed to evaluate the effects of massage chair vs. hand massage. Y1 - 2023 U6 - https://doi.org/10.29328/journal.jnpr.1001050 VL - 2023 IS - 7 SP - 8 EP - 15 PB - HSPI ER - TY - JOUR A1 - Vollmer, Michael A1 - Eberhardt, Wolfgang T1 - Ein einfaches Modell für die Vorhersage von CO2 Konzentrationen in der Atmosphäre in Abhängigkeit von globalen CO2 Emissionen JF - PhyDid B, Didaktik der Physik, Beiträge zur DPG-Frühjahrstagung N2 - Es wird das vielleicht einfachst mögliche Modell vorgestellt, mit dem zeitabhängige CO2 Konzent-rationen c(t) in der Atmosphäre ausgehend von verschiedenen globalen Emissionsszenarien für CO2berechnet werden. Dazu wird eine einzelne inhomogene lineare Differenzialgleichung 1. Ordnung hergeleitet, deren Parameter sich aus den quantitativen Daten des global carbon project sowie Mauna Loa Daten für CO2 Konzentrationen errechnen. Das Modell wird erstens getestet am Zeitraum 1960 bis 2020 mit vergleichsweise guter quantitativer Übereinstimmung zu Messdaten. Zweitens wird für zwei typische IPCC Emissions-Szenarien ein Vergleich der Modellvorhersagen mit denen der kom-plexen IPCC Earth-System-Klimamodelle diskutiert mit qualitativer Übereinstimmung des zeitli-chen Verlaufs. Drittens werden Ergebnisse einiger ausgewählter neuer Emissionsszenarien präsen-tiert. Ungeachtet einiger Abweichungen zu komplexeren Klimamodellen zeichnet sich unser Mo-dell durch zwei wichtige Vorteile für die Lehre aus. Zum einen ist es sehr einfach für Studierende und begabte Schüler nutzbar, da die erforderliche Lösung der Differentialgleichung bereits mit han-delsüblicher Tabellenkalkulationssoftware wie z.B. Excel programmiert werden kann. Dadurch ge-stattet es zum anderen auch sehr einfach, den zeitlichen Verlauf von Emissionsszenarien zu verän-dern und innerhalb weniger Sekunden Veränderungen aufgrund geänderter Eingaben zu berechnen. Insofern eignet sich das Modell sehr gut als Einstieg in das Thema Klimamodellierung in einführen-den Hochschulvorlesungen zum Themenbereich Kohlenstoffkreislauf und Klimawandel. In der Schule kann es gegen Ende der Sekundarstufe 2 beispielsweise im Projektunterricht zum Themen-komplex Nachhaltigkeit in Physik und/oder Mathematik eingesetzt werden Y1 - 2024 UR - https://ojs.dpg-physik.de/index.php/phydid-b/article/view/1411 SN - 2191-379X VL - 1 IS - 1 SP - 379 EP - 388 PB - FU Berlin ER - TY - JOUR A1 - Goschin, Tobias A1 - Vogel, Mathias A1 - Flassig, Robert T1 - Energy Technologies For Decarbonizing The Steel Processing Industry – A Numerical Study JF - IFAC-PapersOnLine N2 - This study analyzes approaches to decarbonize the energy supply of the secondary steel processing industry. Therefore, real data from a secondary steel production company is used in combination with state-of-the art low carbon energy supply technologies. Also, the use of waste heat from a pusher furnace for process integration is considered. The developed temporal process model allows holistic optimizing and expanding the steel making process system regarding techno-economic criteria. As we show, implementing the annual heat demand of a municipality shows that a nearly 100 % self-sufficient heat supply is possible. Y1 - 2022 UR - https://linkinghub.elsevier.com/retrieve/pii/S240589632200386X U6 - https://doi.org/https://doi.org/10.1016/j.ifacol.2022.07.001 VL - 55 IS - 9 SP - 1 EP - 5 PB - Elsevier ER - TY - BOOK A1 - Burger-Menzel, Bettina T1 - Environmental Politics and the Human Being: A New Interdisciplinary Perspective on Motivational Processes and Sustainable Change Behaviour T3 - Global Cooperation Research Papers - 13 Y1 - 2016 U6 - https://doi.org/10.14282/2198-0411-GCRP-13 SN - 2198-041 PB - Käte Hamburger Kolleg CY - Duisburg 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 - Kant, Daniel A1 - Johannsen, Andreas T1 - Evaluation of AI-based use cases for enhancing the cyber secu- rity defense of small and medium-sized companies (SMEs) T2 - Proc. IS & T International Symposium on Electronic Imaging: Mobile Devices and Multimedia: Enabling Technologies, Algorithms, and Applications KW - Cyber defense KW - cyber security KW - artificial intelligence KW - defensive AI KW - cyber security applications KW - cyber security use cases KW - security use cases KW - AI-based security applications KW - SME Y1 - 2022 U6 - https://doi.org/10.2352/EI.2022.34.3.MOBMU-387 SP - 387-1 EP - 387-8 CY - Springfield, VA 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 - JOUR A1 - Ptashnik, Sergey V. A1 - Mikhailov, Anatoliy K. A1 - Yastrebov, Alexander V. A1 - Petrov, Peter K. A1 - Liu, Wei A1 - McN Alford, Neil A1 - Hirsch, Soeren A1 - Kozyrev, Andrey B. T1 - Ferroelectric thin film acoustic devices with electrical multiband switching ability JF - Scientific Reports KW - Electrical and electronic engineering KW - Electronic and spintronic devices Y1 - 2017 U6 - https://doi.org/10.1038/s41598-017-14895-8 VL - 7 IS - 15289 ER - TY - JOUR A1 - Oeppert, Luise A1 - Hartz, Tobias A1 - Wehner, Kathrin A1 - Schrader, Thomas A1 - Meier, Jens T1 - FHIR-Datenmodell zur Übermittlung von Tumordaten zwischen Krebsregistern und IQTIG JF - GMS Medizinische Informatik, Biometrie und Epidemiologie KW - Computer applications to medicine KW - Medical informatics KW - Internal medicine KW - Infectious and parasitic diseases Y1 - 2021 UR - https://doaj.org/article/dc0151fdba764800ac9c652e3ad4eb40 U6 - https://doi.org/10.3205/mibe000231 VL - 17 IS - Iss 4 PB - German Medical Science GMS Publishing House ER -