TY - CHAP A1 - Eiler, Julian A1 - Berndt, Dominik A1 - Schreiner, Rupert T1 - Miniaturisierter Wasserstoffsensor basierend auf der 3-Omega Methode T2 - Tagungsband zum 4. Symposium Elektronik und Systemintegration ESI: 17. April 2024, Hochschule Landshut N2 - Die Arbeit stellt einen thermischen Wasserstoffsensor auf Siliziumbasis vor, der mit der 3-Omega Messmethode betrieben wird. Durch das dynamische Messverfahren, die große Sensoroberfläche bei gleichzeitig geringer thermischer Masse und der Materialkombination wird eine Auflösungsgrenze von 55 ppm Wasserstoff in Stickstoff erreicht. Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:860-opus4-4205 SN - 978-3-9818439-9-6 SP - 38 EP - 45 PB - Hochschule für Angewandte Wissenschaften Landshut CY - Landshut ER - TY - CHAP A1 - Bauer, Lukas A1 - Vitzthumecker, Thomas A1 - Bierl, Rudolf A1 - Ehrnsperger, Matthias T1 - Machine-learning-based detection and severity estimation of drought stress in plants using hyperspectral imaging data T2 - Remote Sensing for Agriculture, Ecosystems, and Hydrology XXVII N2 - 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. Y1 - 2025 U6 - https://doi.org/10.1117/12.3072011 PB - SPIE ER - TY - CHAP A1 - Ehrnsperger, Matthias G. T1 - Enhancing object recognition through camera-radar fusion and micro-doppler signature integration T2 - Emerging Technologies and Materials for Security and Defence 2025 N2 - 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. Y1 - 2025 U6 - https://doi.org/10.1117/12.3071682 PB - SPIE ER - TY - CHAP A1 - Ehrnsperger, Matthias G. T1 - Multimodal sensor fusion for resilient perception: combining radar and imaging for all-weather object tracking T2 - Artificial Intelligence and Image and Signal Processing for Remote Sensing XXXI N2 - 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. Y1 - 2025 U6 - https://doi.org/10.1117/12.3071683 PB - SPIE ER - TY - RPRT A1 - Pfingsten, Andrea A1 - Bredehorst, Maren A1 - Leinweber, Juliane A1 - Richter, Robert A1 - Vogel, Barbara T1 - HVG-Positionspapier für die Therapiewissenschaften : Fachkommission Forschung im Hochschulverbunde Gesundheitsfachberufe (HVG) N2 - Zeitgemäße Therapie ist effektiv, effizient, patient*innen‐ und teilhabeorientiert. Ergotherapie, Logopädie/Sprachtherapie und Physiotherapie (im Folgenden kurz: ELP) sind gesellschaftlich relevant und essenzieller Bestandteil einer nachhaltigen Gesundheitsversorgung. Therapiewissenschaften evaluieren, verbessern und erweitern Möglichkeiten der Prävention 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 für die Therapiewissenschaften zu verbessern. KW - Allied Health KW - Physiotherapie KW - Wissenschaft Y1 - 2024 U6 - https://doi.org/10.5281/zenodo.14495900 ET - Version 1 (Stand 08.04.2024) ER - TY - JOUR A1 - Pierobon, Chiara A1 - Sharshenova, Aijan T1 - German and Russian Public Diplomacy Efforts in Kyrgyzstan: A Comparative Study of Norm Entrepreneurship JF - Europe-Asia Studies N2 - This article explores Russian and German public diplomacy efforts in Central Asia through the example of Kyrgyzstan. Due to a difficult economic and socio-political situation, Kyrgyzstan remains open to externally funded programmes and projects, including initiatives funded by foreign governments, and thus offers a unique environment for the study of public diplomacy. The article looks at transnational public diplomacy actors such as German political foundations and Russian-sponsored organisations active in the country. Overall, the article offers interesting insights into the nature and substance of the soft power policies pursued by Germany and Russia that are relevant for Kyrgyzstan and beyond. Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:898-opus4-87380 VL - 75 IS - 8 SP - 1384 EP - 1407 PB - Taylor & Francis ER - TY - JOUR A1 - Pierobon, Chiara T1 - European Union, civil society and local ownership in Kyrgyzstan: analysing patterns of adaptation, reinterpretation and contestation in the prevention of violent extremism (PVE) JF - Central Asian Survey N2 - In the last decade, a growing body of literature has investigated the promotion of good governance, rule of law, democracy and human rights in Central Asia through funding from the European Union (EU). Most of this research has taken an EU-centric approach and is concerned with the supply side of external democratization. As a result, little is known about how EU projects are implemented on the ground and what EU-funded civil society organizations consider to be their priorities. This article investigates the agency of such organizations in Kyrgyzstan by focusing on their contribution to one particular EU instrument: the Instrument contributing to Stability and Peace (IcSP), and its programme: Strengthening Resilience to Violence and Extremism (STRIVE). The findings offer new insights into the processes of adaptation, reinterpretation and contestation through which EU-funded organizations exercise ownership while engaging in the prevention of violent extremism (PVE). Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:898-opus4-87378 VL - 41 IS - 4 SP - 752 EP - 769 PB - Taylor & Francis ER - TY - JOUR A1 - Pierobon, Chiara T1 - EU’s support to civil society in Kazakhstan: A pilot evaluation of the social capital generated JF - Evaluation N2 - In the last decade, several studies have been devoted to the analysis of the EU’s support to civil society abroad, but only recently has scholarly attention turned to Central Asia. Most of the research in this field has adopted a macro-level perspective, concerned with the supply side of external democratization, and has examined external assistance to civil society in terms of democratization ideal types and typologies. The main contribution of this study consists of a meso-level analysis of the outcomes of the EU’s support to civil society in terms of production of social capital, conceived as the raw material of civil society itself. More precisely, the article evaluates the first wave of grants awarded to civil society organizations in Kazakhstan as part of two EU funding schemes—the European Instrument for Democracy and Human Rights and the Non-State Actors and Local Authorities in Development. The article sheds new light on the use of social capital and its two dimensions-structural and cognitive-as heuristic tools for evaluating civil society support programs. Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:898-opus4-87394 VL - 25 IS - 2 SP - 207 EP - 223 PB - Sage ER - TY - BOOK A1 - Kriza, Thomas ED - Lerch, Sebastian T1 - Ethische Fragen der Digitalisierung und ihre Thematisierung in Forschung und Lehre an Hochschulen BT - Dimensionen von Transdisziplinarität T3 - Interdisziplinarität in der Hochschullehre N2 - Die Digitalisierung als fortschreitende Durchdringung aller Lebensbereiche durch Informationstechnik geht mit gesellschaftlichen Transformationsprozessen und weitreichenden ethischen Fragen einher. Diese Fragen haben einen transdisziplinären Charakter in dem Sinne, dass sie sich nur durch ein Überschreiten von fachlichen Perspektiven einzelner wissenschaftlicher Disziplinen und durch eine ganzheitliche Bezugnahme auf gesellschaftliche Auswirkungen angemessen adressieren lassen. Anhand der technischen Möglichkeiten von Big Data Analytics lässt sich aufzeigen, wie disziplinübergreifende wissenschaftliche Forschungen zu technischen Anwendungen führen können, die gewichtige, gesellschaftlich relevante Fragen nach ihrer ethischen Vertretbarkeit aufwerfen. Diese können in letzter Konsequenz auch ethische Grundprinzipien und Auffassungen des Menschseins ins Wanken bringen. Besonders prägnant lässt sich dies mit den Studien des Big-Data-Forschers Michal Kosinski und seines Forscherkreises sowie den daraus resultierenden Anwendungen von Unternehmen wie Cambridge Analytica vor Augen führen: Die Analyse von großen Mengen digitaler persönlicher Daten eröffnet umfassende Möglichkeiten zur Verhaltensbeeinflussung und stellt dabei sehr weitreichend auch ethische Grundwerte wie Privatheit in Frage. Universitäten und Hochschulen sind aufgefordert, durch transdisziplinäre Lehre und Forschung die ethischen Fragen der Digitalisierung als bestimmende Themen der Gegenwart direkt zu adressieren. Y1 - 2023 SN - 9783763974610 U6 - https://doi.org/10.3278/9783763974610 SP - 45 EP - 58 PB - wbv Publikation CY - Bielefeld ER - TY - THES A1 - Vokkethur, Rachana T1 - Design, simulation, fabrication, measurement, and analysis of 3D-printed radio frequency conductive structures N2 - Additive manufacturing has emerged as a disruptive technology in the field of electronics, offering new possibilities for the fabrication of complex, lightweight, and customizable components. Conventional PCB manufacturing relies on multi-step processes and is limited to planar geometries, making it less suitable for rapid prototyping or integration into non-standard surfaces. In contrast, Fused Deposition Modelling (FDM) provides a cost-effective and accessible approach to directly fabricate functional electronic structures by combining conductive and dielectric materials within a single printing process. This thesis examines the design, simulation, fabrication, measurement and analysis of 3D-printed conductive transmission lines utilising FDM technology. A conductive filament and a dielectric filament are employed to realise fully integrated microstrip and coaxial structures. Electromagnetic simulations are performed to optimise the geometry for RF performance, and the printed prototypes are experimentally characterised using vector network analyser measurements. The analysis focuses on the transmission coefficients and the reflection coefficients, providing insights into impedance matching, insertion loss, and frequency-dependent behaviour. These findings confirm that FDM-based additive manufacturing can produce functional RF structures with reliable performance, despite material and fabrication limitations. The work demonstrates the potential of 3D printing as a flexible and low-cost method for prototyping radio frequency components, highlighting future directions that include improved material characterisation, connector integration, and the design of more advanced components, such as filters and antennas. Y1 - 2026 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:898-opus4-87809 CY - Regensburg ER -