TY - JOUR A1 - Oseev, Aleksandr A1 - Lucklum, Ralf A1 - Zubtsov, Mikhail A1 - Schmidt, Marc-Peter A1 - Mukhin, Nikolay V. A1 - Hirsch, Soeren T1 - SAW-Based Phononic Crystal Microfluidic Sensor—Microscale Realization of Velocimetry Approaches for Integrated Analytical Platform Applications JF - Sensors KW - phononic crystal KW - liquid sensor KW - ultrasonic velocimetry KW - μTAS Y1 - 2017 U6 - https://doi.org/10.3390/s17102187 VL - 17 IS - 10 SP - 2187 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 - 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 - Pilgermann, Michael A1 - Werth, Sören A1 - Creutzburg, Reiner T1 - Towards sector specific security operation JF - Electronic Imaging KW - cybersecurity KW - information security KW - network security KW - IT security KW - Security Information Center KW - SOC KW - Security Information and Event Management KW - SIEM KW - security monitoring KW - health care KW - critical infrastructures KW - hospitals KW - HL7 KW - MLLP Y1 - 2020 U6 - https://doi.org/10.2352/ISSN.2470-1173.2020.3.MOBMU-254 SN - 2470-1173 SP - 254-1 EP - 254-10 PB - Society for Imaging Science and Technology CY - Springfield, VA ER - TY - JOUR A1 - Preetham Sata, Sai A1 - Stannarius, Ralf A1 - Puzyrev, Dmitry ED - Alam, M. ED - Das, S.L. ED - Bose, M. ED - Murthy, T.G. ED - Chikkadi, V. ED - Singh, A. ED - Luding, S. T1 - Machine learning for prediction of dynamical clustering in granular gases JF - EPJ Web of Conferences N2 - Continuously excited dense granular gases in microgravity can develop spatial inhomogeneities of the particle distribution. Dynamical clustering is a phenomenon where a significant share of particles concentrate in strongly overpopulated regions. It is caused by a complex interplay between the energy influx and dissipation in collisions. The overall packing fraction, container geometry, and excitation parameters influence the gas-cluster transition. We perform Discrete Element Method (DEM) simulations for frictional spheres in a cuboid container and apply statistical criteria to the packing fraction profiles. Machine learning (ML) methods are used to study the dependence of the gas-cluster transition on system parameters. It is a promising alternative to predict the state of the system without the need for the time-consuming DEM simulations. We identify the best models for predicting the dynamical clustering of frictional spheres in a specific experimental geometry. Y1 - 2025 U6 - https://doi.org/10.1051/epjconf/202534012012 VL - 340 PB - EDP Sciences ER - TY - JOUR A1 - Prinz, Alexander A1 - Orlowski, Katja A1 - Beck, Eberhard A1 - Witte, Kerstin T1 - Serious Games for Seniors With Dementia: A Pilot Study JF - Journal of Applied Gerontology N2 - 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. Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:522-opus4-33440 VL - 2025 SP - 1 EP - 11 PB - SAGE 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 - Pufal, Jakob A1 - Shun, Hanna A1 - Ben Ammar, Rami A1 - Jeckstadt, Janik A1 - Schultheiß, John T1 - The Great Shutdown BT - How disruptive would a military escalation of the China-Taiwan-Conflict be to global economies? N2 - This research aims to examine the potential impact of a military escalation of the China-Taiwan conflict on global economies, with a particular focus on the microchip production industry in Taiwan. The academic paper will analyze the current economic ties between Taiwan and other countries, as well as the potential consequences of a disruption in trade and production caused by a military conflict. The research will also examine the role of Taiwan's microchip industry in the global supply chain and its potential vulnerability to a disruption in the event of a military escalation. Additionally, this scientific paper will explore the possible economic responses of other countries and the international community to a military escalation of the China-Taiwan conflict. The research will use a combination of the systematic literature review and the scenario technique to demonstrate potential impact of a military escalation of the China-Taiwan conflict on global economies, with a specific focus on the microchip production industry in Taiwan. KW - China Taiwan Conflict KW - China KW - Taiwan KW - China Taiwan War KW - microchip KW - semiconductor KW - foundry KW - TSMC KW - microchip manufacturing KW - Weltwirtschaft KW - Internationale Produktion KW - Chip KW - Fallstudie KW - Bewaffneter Konflikt Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:522-opus4-28942 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 - 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 -