@article{58543, abstract = {{This work analyses load profiles for East African microgrids, and then investigates the integration of electric two-wheelers and portable storage into a solar PV with battery microgrid in Uganda, East Africa. By introducing e-mobility and portable storage, demand side management strategic load growth can thus be achieved and electricity access can be expanded. Battery degradation is also considered. The results showed a 98.5% reduction in PV energy curtailment and a 57% reduction in the levelized cost of energy (LCOE) from 0.808 USD/kWh to 0.350 USD/kWh when the electric two-wheeler and portable storage loads were introduced. Such reductions are important enablers of financial viability and sustainability of microgrids. It is possible to avoid emissions of up to 73.27 tons of CO2/year with the proposed e-bikes, and an average of 160 customers could be served annually as off-microgrid consumers without requiring an investment in additional distribution infrastructure. Annual revenue could be increased by 135% by incorporating the additional loads. Sensitivity analyses were conducted by varying component costs, the battery lifetime, the interest rate, and the priority weighting of the additional loads. The battery costs were found to be a major contributor to lifecycle costs (LCC) and also have a big impact on the LCOE. The interest rate significantly affects the LCC as well.}}, author = {{Kakande, Josephine Nakato and Philipo, Godiana Hagile and Krauter, Stefan}}, issn = {{2673-9941}}, journal = {{Solar}}, number = {{4}}, pages = {{694--727}}, publisher = {{MDPI AG}}, title = {{{Optimized E-Mobility and Portable Storage Integration in an Isolated Rural Solar Microgrid in Uganda}}}, doi = {{10.3390/solar4040033}}, volume = {{4}}, year = {{2024}}, } @inproceedings{56004, author = {{von Neumann, Thilo and Boeddeker, Christoph and Cord-Landwehr, Tobias and Delcroix, Marc and Haeb-Umbach, Reinhold}}, booktitle = {{2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)}}, publisher = {{IEEE}}, title = {{{Meeting Recognition with Continuous Speech Separation and Transcription-Supported Diarization}}}, doi = {{10.1109/icasspw62465.2024.10625894}}, year = {{2024}}, } @inproceedings{56272, author = {{Boeddeker, Christoph and Cord-Landwehr, Tobias and Haeb-Umbach, Reinhold}}, booktitle = {{Interspeech 2024}}, publisher = {{ISCA}}, title = {{{Once more Diarization: Improving meeting transcription systems through segment-level speaker reassignment}}}, doi = {{10.21437/interspeech.2024-1286}}, year = {{2024}}, } @inproceedings{57659, author = {{Vieting, Peter and Berger, Simon and von Neumann, Thilo and Boeddeker, Christoph and Schlüter, Ralf and Haeb-Umbach, Reinhold}}, booktitle = {{2024 IEEE Spoken Language Technology Workshop (SLT)}}, title = {{{Combining TF-GridNet and Mixture Encoder for Continuous Speech Separation for Meeting Transcription}}}, year = {{2024}}, } @inproceedings{58648, author = {{Unruh, Roland and Böcker, Joachim and Schafmeister, Frank}}, booktitle = {{Proceedings of the Energy Conversion Congress & Expo (ECCE Europe)}}, location = {{Darmstadt}}, publisher = {{IEEE}}, title = {{{Experimentally Verified 22 kW, 40 kHz LLC Resonant Converter Design with new Control for a 1 MW Cascaded H-Bridge Converter}}}, doi = {{10.1109/ECCEEurope62508.2024.10751954}}, year = {{2024}}, } @unpublished{58663, abstract = {{We present a general and intuitive ambiguity model for intersections, junctions and other structures in binary edge images. The model is combined with edge tracing, where edges are ordered sequences of connected pixels. The objective is to provide a versatile preprocessing method for tasks such as figure-ground segmentation, object recognition, topological analysis, etc. By using only a small set of straightforward principles, the results are intuitive to describe. This helps to implement subsequent processing steps, such as resolving ambiguous edge connections at junctions. By using an augmented edge map, neighboring edges can be directly accessed using quick local search operations. The edge tracing uses recursion, which leads to compact programming code. We explain our algorithm using pseudocode, compare it with related methods, and show how simple modular postprocessing steps can be used to optimize the results. The complete algorithm, including all data structures, requires less than 50 lines of pseudocode. We also provide a C++ implementation of our method.}}, author = {{Hennig, Markus and Leineke, Marc and Mertsching, Bärbel}}, booktitle = {{arXiv:2408.01712}}, title = {{{A General Ambiguity Model for Binary Edge Images with Edge Tracing and its Implementation}}}, year = {{2024}}, } @phdthesis{58756, abstract = {{Der Permanentmagnet-Synchronmotor (PMSM) ist aufgrund seiner hohen Leistungs- und Drehmomentdichte bezogen auf Volumen und Gewicht ein häufig verwendeter Traktionsmotor in Automobilanwendungen. Jene Charakteristika werden jedoch maßgeblich durch Temperaturhöchstwerte begrenzt. Hinzu kommt, dass die Temperatur wichtiger Rotorkomponenten nicht wirtschaftlich messbar ist. Temperaturschätzverfahren wie modellbasierte Ansätze sind potentiell in der Lage, das Problem der fehlenden Temperaturinformation zu relativieren, ohne zusätzliche Geräte zu erfordern. Diese Arbeit stellt ein Portfolio von thermischen Modellen aus dem Bereich des maschinellen Lernens zusammen. Die Untersuchung basiert auf einem PMSM-Datensatz, der auf einem Prüfstand aufgezeichnet wurde. Neben dem durchschnittlichen Schätzfehler diktiert die erforderliche Anzahl von Modellparametern zahlreiche Auslegungsentscheidungen. Der gesamte Entwurfsprozess eines Modells aus dem maschinellen Lernen wird beleuchtet und für verschiedene lineare, sowie baumbasierte Modelle; vorschiebende, rekurrente und faltende neuronale Netze als auch für verschiedene hybride Modellierungsansätze durchgeführt. Desweiteren wird der hybride Modellierungsansatz über thermische neuronale Netze besonders hervorgehoben. Sie setzen sich aus neuronalen Netzen und einem thermischen Ersatzschaltbild zusammen und wurden erstmals vom Autor dieser Arbeit veröffentlicht. Schließlich wird ein von Experten entworfenes, datengetriebenes thermisches Netz mit konzentrierten Parametern über verschiedene Algorithmen optimiert und als Stand der Technik herangezogen.}}, author = {{Kirchgässner, Wilhelm}}, publisher = {{LibreCat University}}, title = {{{Data-driven thermal modeling of a permanent magnet synchronous motor with machine learning}}}, doi = {{10.17619/UNIPB/1-2068}}, year = {{2024}}, } @phdthesis{58757, abstract = {{On-bord DC-DC-Konverter sind das Bindeglied zwischen der Traktionsbatterie und der Hilfsbatterie und versorgen wichtige Komponenten des Elektrofahrzeugs. Diese Arbeit adressiert den weiten Spannungsbereich des Wandlers, der eine Folge der variierenden Spannungen der Batterien ist. Als potentielle Topologien werden der LLC Resonanzwandler, der aktiv geklemmte Flusswandler und der isolierte Vollbrücken-Konverter untersucht.Zunächst wird hierbei der LLC untersucht und verschiedene Modulationstechniken zur Abdeckung des weiten Spannungsbereichs gegenübergestellt, um zu zeigen, dass die Frequenzverdoppler-Modulation und die alternierende Phasenverschiebungsmodulation die maximale Temperatur der Halbleiter deutlich senken. Zum Wechsel zwischen Voll- und Halbbrückenmodulation wird eine Modulationstechnik vorgeschlagen, welche den transienten Magnetisierungsfluss um über 70 % respektive des konventionellen Konzept senkt. Für den aktiv geklemmten Flusswandler wird ein verbessertes Modell vorgestellt, das die Blockierspannung sehr genau modelliert. Zudem wird eine Snubber-Schaltung vorgeschlagen, welche die sekundärseitige transiente Blockierspannung deutlich reduziert. Für den isolierten Vollbrücken-Konverter werden hart- und weichschaltende Modulationstechniken analysiert und eine hartschaltende Frequenz-Verdoppler-Modulationstechnik vorgeschlagen, welche die maximale Schaltertemperatur deutlich reduziert und eine Modulationstechnik mit Beschaltung vorgestellt, um zwischen dem Voll- und Halbbrückenmodus zu wechseln. Die zuvor erarbeiteten Konverter werden unter Anwendung einer vorgestellten Designmethodik verglichen und messtechnisch evaluiert.}}, author = {{Rehlaender, Philipp}}, publisher = {{LibreCat University}}, title = {{{Single-stage DC-DC converters for a wide input & output voltage range}}}, doi = {{10.17619/UNIPB/1-2148}}, year = {{2024}}, } @phdthesis{58682, author = {{Brosch, Anian}}, title = {{{Time-optimal control of synchronous machines in the whole modulation range considering current and torque constraints }}}, doi = {{10.17619/UNIPB/1-2064}}, year = {{2024}}, } @inproceedings{45778, abstract = {{RISC-V has received worldwide acceptance in the industry and by the academic community. As of today, multiple RISC-V applications and variants are under investigation for embedded IoT systems, from resource-limited single-core processors up to multi-core systems for High-Performance Computing (HPC). Recently, the Grid of Processing Cells (GPC) platform has been proposed as a scalable parallel grid-oriented network of processor cores with local memories. This paper describes a prototype design of the GPC platform for hardware implementation at Register-Transfer Level (RTL) based on modified RISC-V Rocket processors with scratchpad memories. It introduces a scalable Chisel-based implementation of the modified Rocket cores with RTL generation and a functional test using Verilator simulation. This work also includes the adaptation of the Chipyard software toolchain to extend the compiler to multi-core grids with different local address spaces.}}, author = {{Luchterhandt, Lars and Nellius, Tom and Beck, Robert and Dömer, Rainer and Kneuper, Pascal and Müller, Wolfgang and Sadiye, Babak}}, booktitle = {{MBMV 2024 - 27. Workshop Methoden und Beschreibungssprachen zur Modellierung und Verifikation von Schaltungen und Systemen“}}, location = {{Germany, Freiburg}}, publisher = {{VDE Verlag}}, title = {{{Implementation of Different Communication Structures for a Rocket Chip Based RISC-V Grid of Processing Cells}}}, year = {{2024}}, } @inproceedings{50287, author = {{Kruse, Stephan and Schwabe, Tobias and Kneuper, Pascal and Kurz, Heiko G. and Meinecke, March-Michael and Scheytt, Christoph}}, booktitle = {{German Microwave Conference (GeMiC) }}, title = {{{Analysis and Simulation of a Photonic Multiband FMCW Radar Sensor System using Nyquist Pulses}}}, doi = {{10.23919/GeMiC59120.2024.10485320}}, year = {{2024}}, } @inproceedings{54785, author = {{Kruse, Stephan and Schwabe, Tobias and Kneuper, Pascal and Scheytt, J. Christoph}}, booktitle = {{INTERNATIONAL CONFERENCE RADAR 2024}}, location = {{RENNES}}, title = {{{A Photonic Multiband Radar Transmitter Architecture with Tailored Nonlinear Transmission Line}}}, year = {{2024}}, } @inproceedings{53797, author = {{Kruse, Stephan and Kneuper, Pascal and Schwabe, Tobias and Kurz, Heiko G. and Meinecke, Marc-Michael and Gonzalez-Huici, María A. and Scheytt, J. Christoph}}, booktitle = {{International Conference on Microwaves for Intelligent Mobility (ICMIM)}}, title = {{{Phase Noise Analysis of Photonic Radar Systems with Optical LO Distribution}}}, year = {{2024}}, } @inproceedings{53800, author = {{Kruse, Stephan and Brockmeier, Jan and Kneuper, Pascal and Schwabe, Tobias and Kurz, Heiko G. and Meinecke, Marc Michael and Scheytt, J. Christoph}}, booktitle = {{ International Radar Symposium (IRS)}}, title = {{{Doppler Analysis of a Lidar-Photonic Radar Combined Sensor System}}}, year = {{2024}}, } @inproceedings{57108, author = {{Kruse, Stephan and Brecht, Benjamin and Silberhorn, Christine}}, title = {{{A Quantum Pulse Gate Enhanced Photonic Radar Architecture }}}, doi = {{10.5281/zenodo.14934743}}, year = {{2024}}, } @inproceedings{56782, author = {{Lange, Sven and Olbrich, Marcel and Hemker, Dennis and Maalouly, Jad and Kutter, Jürgen and Schröder, Dominik and Hedayat, Christian and Kleinen, Michael and Grünwaldt, Andreas and Bärenfänger, Jörg and Mathis, Harald and Kuhn, Harald}}, booktitle = {{2024 International Symposium on Electromagnetic Compatibility – EMC Europe}}, location = {{Bruges, Belgium}}, publisher = {{IEEE}}, title = {{{A Hybrid Data Generation Approach for the Development of an AI-based EMC Interference Recognition Method}}}, doi = {{10.1109/emceurope59828.2024.10722681}}, year = {{2024}}, } @inproceedings{56781, author = {{Maalouly, Jad and Hemker, Dennis and Lange, Sven and Olbrich, Marcel and Hedayat, Christian and Kutter, Jürgen and Mathis, Harald}}, booktitle = {{2024 International Symposium on Electromagnetic Compatibility – EMC Europe}}, location = {{Brugge, Belgium }}, publisher = {{IEEE}}, title = {{{Evaluation of Simulated and Real Measurement Data for AI-based Interference Classification in EMC Applications}}}, doi = {{10.1109/emceurope59828.2024.10722094}}, year = {{2024}}, } @inproceedings{56924, author = {{Stiemer, Marcus and Lange, Sven and Schröder, Dominik and Hedayat, Christian and Maalouly, Jad and Hemker, Dennis and Mathis, Harald}}, booktitle = {{2024 Smart Systems Integration Conference and Exhibition (SSI)}}, location = {{Hamburg}}, publisher = {{IEEE}}, title = {{{Enhancing Information Extraction in EMC Measurements through Artificial Intelligence}}}, doi = {{10.1109/ssi63222.2024.10740546}}, year = {{2024}}, } @article{57499, author = {{Maalouly, J. and Hemker, D. and Hedayat, C. and Olbrich, M. and Lange, Sven and Mathis, H.}}, journal = {{Advances in Radio Science}}, location = {{Miltenberg}}, pages = {{53–59}}, title = {{{Using Autoencoders to Classify EMC Problems in Electronic System Development}}}, doi = {{10.5194/ars-22-53-2024}}, volume = {{22}}, year = {{2024}}, } @misc{59071, author = {{Weizel, Maxim and Scheytt, J. Christoph}}, publisher = {{Zenodo}}, title = {{{Photonically Assisted Sampling Circuits}}}, doi = {{10.5281/ZENODO.14990093}}, year = {{2024}}, }