@masterthesis{Xu, type = {Bachelor Thesis}, author = {Xu, Zhiming}, title = {Electronic circuit design and implementation of a contactless optical position measurement device}, address = {Regensburg}, doi = {10.35096/othr/pub-8520}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:898-opus4-85201}, school = {Ostbayerische Technische Hochschule Regensburg}, pages = {49}, abstract = {This thesis presents the design and implementation of a low-cost, highprecision analog front-end for a non-contact optical displacement measurement system. While the principle of sensing based on D-shaped optical fibers is well-established, its practical replication faces challenges of poor consistency from manual polishing and high material costs. To address these issues, we employ 3D-printed polymer waveguides as the core sensing medium and design a dedicated signal conditioning circuit to accompany it. The core work of this thesis revolves around a dual-channel, two-stage amplifier analog front-end. The circuit converts weak, nanoampere-level (nA) photocurrents from the photodiodes into voltage signals. These signals are stable, linear, and suitable for the microcontroller (MCU) to process. The entire design follows this workflow: starting from theoretical calculations, the circuit's performance in frequency domain, time domain, and noise was verified through LTspice simulation. Subsequently, the design was realized in hardware via PCB implementation, including guard rings. The experimental results show that the performance of the fabricated circuit is consistent with simulation. When integrated with the 3D-printed waveguide, the complete system performed end-to-end calibration and decoding. Over a 50 mm measurement range, the system achieved a maximum absolute error of less than 0.81 mm and a root mean square error below 0.4 mm. This research validates the feasibility of a complete, low-cost, non-contact displacement measurement solution—from the sensing structure to the signal processing—suitable for small-scale use.}, language = {en} } @inproceedings{ShahabUllahShehzadetal., author = {Shahab, Muhammad and Ullah, Abdul Wahab Usman and Shehzad, Muhammad and Shah, Syed Bilal and Joyo, M. Kamran and Khan, Sheroz}, title = {Optimal distributed generation placement in radial distribution system using particle swarm optimization}, series = {2024 IEEE 9th International Conference on Engineering Technologies and Applied Sciences (ICETAS)}, booktitle = {2024 IEEE 9th International Conference on Engineering Technologies and Applied Sciences (ICETAS)}, publisher = {IEEE}, doi = {10.1109/ICETAS62372.2024.11120307}, pages = {7}, abstract = {This paper addresses losses of power in Radial Distribution Systems (RDS), which significantly affect voltage levels and operational costs. The main aim is to optimize the positioning and size of Distributed Generation (DG) units, including Photovoltaic (PV) cells, and Wind Turbines (WT), to analyze the effect of DG placement in reducing the losses in power and enhancing the voltage profiles in radial distribution system (IEEE 33 bus system). This research employs Particle Swarm Optimization (PSO), a robust algorithm well-suited for tackling non-linear optimization issues in order to identify the appropriate placement and size for DG units. A number of scenarios with varying numbers of DG units are simulated, indicating significant reductions in active as well as reactive power losses. Likewise, the consistency and reliability requirements of modern distribution systems are improved as the voltage profile is improved. The key findings demonstrate that optimal DG integration enhances system efficiency, contributes to operational cost savings, and improves grid stability. PSO was chosen for its ability to effectively balance computational effort while achieving high accuracy in minimizing the losses associated with power and enhancing voltage profiles. In contrast to traditional optimization techniques, PSO offers superior accuracy and efficiency in addressing the challenges of non-linear optimization in RDS.}, language = {en} } @article{DiachkovaNikolaevaGuertler, author = {Diachkova, Yana and Nikolaeva, Sofiya and Guertler, Katherine}, title = {Communication in International Humanitarian Relief: Profiling Ukrainian Boundary Spanners}, series = {Journal of Intercultural Communication}, volume = {25}, journal = {Journal of Intercultural Communication}, number = {1}, publisher = {ICR Publications}, issn = {1404-1634}, doi = {10.36923/jicc.v25i1.1019}, pages = {98 -- 106}, abstract = {Boundary spanning—the actions and roles individuals or organizations undertake to bridge differences and facilitate communication, collaboration, and understanding across diverse cultural, organizational, or geographical divisions—is an essential element of international cooperation. Set against the backdrop of the Russia-Ukraine war, The purpose of this study is to explore the type of boundary spanning in this uncertain context, the linguistic characteristics of boundary spanners, the necessary skills and competencies required to navigate the complex socio-political landscape, and the role of boundary spanners in humanitarian assistance. This study employs a qualitative research approach, using semi-structured interviews with informants actively engaged in relief efforts and cross-cultural collaboration. The findings emphasized the significance of English as the primary language of communication, the importance of cultural sensitivity and awareness, and the need for intercultural competence in effective boundary spanning. The study concludes with insights from the ongoing Ukrainian experience of bridging geodemographic boundaries and the role of boundary spanners in this process, highlighting key aspects of boundary spanning. Overall, the study contributes to the theoretical background of boundary spanning and enhances the understanding of how linguistic and cultural boundary spanning can drive positive change and improve outcomes in humanitarian aid. The implications of this study suggest that underscore the critical need for collaboration with experienced boundary spanners in educational settings.}, language = {en} } @article{EilerWeberGerlesbergeretal., author = {Eiler, Julian and Weber, Stefan and Gerlesberger, Peter and Pl{\"o}chinger, Heinz and Schreiner, Rupert}, title = {Active heat-loss compensated miniaturized pirani sensor chip}, series = {IEEE Sensors Letters}, volume = {9}, journal = {IEEE Sensors Letters}, number = {10}, publisher = {Institute of Electrical and Electronics Engineers (IEEE)}, issn = {2475-1472}, doi = {10.1109/LSENS.2025.3605747}, pages = {4}, abstract = {Due to the limited measuring range of commercial Pirani sensors in lower pressure regimes, attempts are being made to extend the measuring range of the sensors. Our approach to extend the measuring range toward lower pressures is a micro-electromechanical systems (MEMS) Pirani sensor with active heat compensation on the suspensions. The sensor element has the shape of a microhotplate and consists of a nickel heating meander embedded in two silicon nitride layers. The whole structure is built on a silicon wafer. The sensor element is suspended on all four corners of the substrate. On each of the suspensions, there is an additional heating structure that minimizes the heat flux from the hot sensor element toward the substrate. The sensor is driven at a constant temperature through a self-balancing Wheatstone bridge. A constant voltage is applied to the heating structures on the suspensions. It has been demonstrated that with these additional heaters, the sensitivity of the sensor can be increased in the high-vacuum regime. This enables reliable vacuum measurements down to 10-6 mbar.}, language = {en} } @misc{EilerWeberGerlesbergeretal., author = {Eiler, Julian and Weber, Stefan and Gerlesberger, Peter and Pl{\"o}chinger, Heinz and Schreiner, Rupert}, title = {Miniaturized Pirani vacuum sensor with active heat-loss compensation}, series = {Verhandlungen der Deutschen Physikalischen Gesellschaft e.V. (DPG), Regensburg, 16. - 21. M{\"a}rz 2025}, journal = {Verhandlungen der Deutschen Physikalischen Gesellschaft e.V. (DPG), Regensburg, 16. - 21. M{\"a}rz 2025}, publisher = {Deutsche Physikalische Gesellschaft e.V.}, issn = {2751-0522}, abstract = {Pirani sensors measure the thermal conductivity of the residual gas in a vacuum by creating a thermal gradient between a heated sensor element and a heat sink. The heat flux from the sensor element to the heat sink over the residual gas is a measure of the vacuum and can be determined by the electrical power applied. In addition to the heat flux over the gas, there are further energy losses from the heating structure due to radiation and parasitic heat fluxes via the suspensions of the sensor element. These losses reduce the sensitivity of the sensor. For this reason, a Micro-Pirani sensor in the shape of a microhotplate was developed that actively compensates the heat flux via the suspensions. This was achieved by placing additional heating structures on the suspensions, which interrupt the heat flow from the sensor element via the suspensions during operation. This active compensation improves the sensitivity at low pressures, enabling vacuum measurements from atmospheric pressure down to 10e-6 mbar.}, language = {en} } @inproceedings{EilerBerndtSchreiner, author = {Eiler, Julian and Berndt, Dominik and Schreiner, Rupert}, title = {Miniaturisierter Wasserstoffsensor basierend auf der 3-Omega Methode}, series = {Tagungsband zum 4. Symposium Elektronik und Systemintegration ESI: 17. April 2024, Hochschule Landshut}, booktitle = {Tagungsband zum 4. Symposium Elektronik und Systemintegration ESI: 17. April 2024, Hochschule Landshut}, publisher = {Hochschule f{\"u}r Angewandte Wissenschaften Landshut}, address = {Landshut}, isbn = {978-3-9818439-9-6}, doi = {10.57688/420}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:860-opus4-4205}, pages = {38 -- 45}, abstract = {Die Arbeit stellt einen thermischen Wasserstoffsensor auf Siliziumbasis vor, der mit der 3-Omega Messmethode betrieben wird. Durch das dynamische Messverfahren, die große Sensoroberfl{\"a}che bei gleichzeitig geringer thermischer Masse und der Materialkombination wird eine Aufl{\"o}sungsgrenze von 55 ppm Wasserstoff in Stickstoff erreicht.}, language = {de} } @inproceedings{BauerVitzthumeckerBierletal., author = {Bauer, Lukas and Vitzthumecker, Thomas and Bierl, Rudolf and Ehrnsperger, Matthias}, title = {Machine-learning-based detection and severity estimation of drought stress in plants using hyperspectral imaging data}, series = {Remote Sensing for Agriculture, Ecosystems, and Hydrology XXVII}, booktitle = {Remote Sensing for Agriculture, Ecosystems, and Hydrology XXVII}, publisher = {SPIE}, doi = {10.1117/12.3072011}, pages = {7}, abstract = {Growing food demand due to population growth, coupled with increasingly frequent and severe droughts caused by climate change make water increasingly scarce. To address this, accurate assessment of plant water demand is essential for precise drought treatment and water conservation. Hyperspectral imaging (HSI) captures hypercubes, a combination of spectral and spatial data and offers promising capabilities for detection of plant stresses. However, most reported approaches only use selected spectral bands or indices, neglecting the full hypercube information. This is assumed to limit the detection accuracy. To overcome these limitations, we aim to develop a measurement pipeline to generate a comprehensive dataset comprising hypercubes of plants under varying drought stress levels along with selected physiological, environmental, and illumination data. This dataset will be used to train suitable data-driven models that enable improved drought stress detection as well as the non-invasive determination of physiological parameters based on HSI data.}, language = {en} } @inproceedings{Ehrnsperger, author = {Ehrnsperger, Matthias G.}, title = {Enhancing object recognition through camera-radar fusion and micro-doppler signature integration}, series = {Emerging Technologies and Materials for Security and Defence 2025}, booktitle = {Emerging Technologies and Materials for Security and Defence 2025}, publisher = {SPIE}, doi = {10.1117/12.3071682}, pages = {5}, abstract = {Object recognition systems based on visual sensors often struggle in degraded environmental conditions such as fog, rain, darkness, or occlusion. Radar, in contrast, offers robust detection capabilities under such conditions but lacks the spatial resolution of optical sensors. This paper presents an ongoing research effort towards a multimodal sensor fusion framework that integrates camera data with radar signals, specifically exploiting micro-Doppler (μD) signatures, with the aim of improving object recognition robustness. The proposed setup uses an Intel RealSense Depth Camera D455 and an Infineon BGT60TR13C radar sensor, deployed on a low-power embedded platform with STM32 microcontrollers. The signal processing pipeline, currently under development, combines time-frequency radar analysis with convolutional neural network-based visual feature extraction for real-time edge AI inference. We describe the system design, preliminary data acquisition setup, and planned evaluation strategy.}, language = {en} } @inproceedings{Ehrnsperger, author = {Ehrnsperger, Matthias G.}, title = {Multimodal sensor fusion for resilient perception: combining radar and imaging for all-weather object tracking}, series = {Artificial Intelligence and Image and Signal Processing for Remote Sensing XXXI}, booktitle = {Artificial Intelligence and Image and Signal Processing for Remote Sensing XXXI}, publisher = {SPIE}, doi = {10.1117/12.3071683}, pages = {5}, abstract = {This work presents the concept and initial qualitative observations of a multimodal perception system that fuses radar, lidar, and camera data to improve object detection and tracking under adverse environmental conditions. The approach focuses on building weather-impact models for each sensor modality—quantifying performance degradation effects such as color shifts and contrast loss in cameras, range reduction and spurious returns in lidar, and resolution limitations in radar. These models will later inform adaptive sensor fusion strategies deployed on embedded edge-AI hardware, using an Infineon BGT60TR13C FMCW radar, Intel RealSense D455 depth camera, and low-power processors. Preliminary visual inspection of collected datasets indicates that combining complementary sensing modalities can maintain detection continuity under conditions where single modalities fail. Future work will quantitatively evaluate these effects and demonstrate weather-adaptive perception on the embedded platform.}, language = {en} } @techreport{PfingstenBredehorstLeinweberetal., type = {Working Paper}, author = {Pfingsten, Andrea and Bredehorst, Maren and Leinweber, Juliane and Richter, Robert and Vogel, Barbara}, title = {HVG-Positionspapier f{\"u}r die Therapiewissenschaften : Fachkommission Forschung im Hochschulverbunde Gesundheitsfachberufe (HVG)}, edition = {Version 1 (Stand 08.04.2024)}, organization = {Fachkommission Forschung im Hochschulverbund Gesundheitsfachberufe (HVG) e.V.}, doi = {10.5281/zenodo.14495900}, pages = {6}, abstract = {Zeitgem{\"a}ße Therapie ist effektiv, effizient, patient*innen- und teilhabeorientiert. Ergotherapie, Logop{\"a}die/Sprachtherapie und Physiotherapie (im Folgenden kurz: ELP) sind gesellschaftlich relevant und essenzieller Bestandteil einer nachhaltigen Gesundheitsversorgung. Therapiewissenschaften evaluieren, verbessern und erweitern M{\"o}glichkeiten der Pr{\"a}vention und Behandlung von Krankheiten sowie der Beratung und Begleitung von Menschen in gesundheitlicher Hinsicht. Wer, wenn nicht die Therapeut*innen, stellt Forschungsfragen und verfolgt Forschungsinteressen, durch die forschungsbasiertes Wissen zu Therapie entsteht? Dieses Positionspapier der Fachkommission Forschung im HVG wurde entwickelt als Referenz zur Forschungslandschaft der ELP. Es ist als Argumentationshilfe gedacht, um die Voraussetzungen f{\"u}r die Therapiewissenschaften zu verbessern.}, subject = {Allied Health}, language = {de} }