@article{48053,
  author       = {{Hetkämper, Tim and Claes, Leander and Henning, Bernd}},
  issn         = {{2196-7113}},
  journal      = {{tm - Technisches Messen}},
  keywords     = {{Electrical and Electronic Engineering, Instrumentation}},
  number       = {{s1}},
  pages        = {{49--54}},
  publisher    = {{Walter de Gruyter GmbH}},
  title        = {{{Vorzeichenrichtige tomographische Rekonstruktion von Ultraschallfeldern mit Hilfe der Schlierentechnik}}},
  doi          = {{10.1515/teme-2023-0069}},
  volume       = {{90}},
  year         = {{2023}},
}

@article{48092,
  author       = {{Pena, Mario and Meyer, Michael and Wallscheid, Oliver and Böcker, Joachim}},
  issn         = {{0885-8993}},
  journal      = {{IEEE Transactions on Power Electronics}},
  keywords     = {{Electrical and Electronic Engineering}},
  number       = {{10}},
  pages        = {{12416--12429}},
  publisher    = {{Institute of Electrical and Electronics Engineers (IEEE)}},
  title        = {{{Model Predictive Direct Self-Control for Six-Step Operation of Permanent-Magnet Synchronous Machines}}},
  doi          = {{10.1109/tpel.2023.3286713}},
  volume       = {{38}},
  year         = {{2023}},
}

@inproceedings{48391,
  author       = {{Aralikatti, Rohith and Boeddeker, Christoph and Wichern, Gordon and Subramanian, Aswin and Le Roux, Jonathan}},
  booktitle    = {{ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}},
  publisher    = {{IEEE}},
  title        = {{{Reverberation as Supervision For Speech Separation}}},
  doi          = {{10.1109/icassp49357.2023.10095022}},
  year         = {{2023}},
}

@inproceedings{46069,
  author       = {{Seebauer, Fritz and Kuhlmann, Michael and Haeb-Umbach, Reinhold and Wagner, Petra}},
  booktitle    = {{12th Speech Synthesis Workshop (SSW) 2023}},
  title        = {{{Re-examining the quality dimensions of synthetic speech}}},
  year         = {{2023}},
}

@inproceedings{48532,
  author       = {{Philipo, Godiana Hagile and Kakande, Josephine Nakato and Krauter, Stefan}},
  booktitle    = {{Proceedings of the 2023 IEEE PES/IAS PowerAfrica Conference}},
  location     = {{Marrakech, Morocco}},
  title        = {{{Combined Economic and Emission Dispatch of a Microgrid Considering Multiple Generators}}},
  year         = {{2023}},
}

@inproceedings{48533,
  author       = {{Kakande, Josephine Nakato and Philipo, Godiana Hagile and Krauter, Stefan}},
  booktitle    = {{Proceedings of the 2023 IEEE PES/IAS PowerAfrica Conference}},
  location     = {{Marrakech, Morocco}},
  title        = {{{Demand side management potential of refrigeration appliances}}},
  year         = {{2023}},
}

@inproceedings{48531,
  author       = {{Philipo, Godiana Hagile and Kakande, Josephine Nakato and Krauter, Stefan}},
  booktitle    = {{Proceedings of the 2023 IEEE AFRICON,  Nairobi, Kenya}},
  location     = {{ Nairobi, Kenya}},
  title        = {{{Demand-Side-Management for Optimal dispatch of an Isolated Solar Microgrid}}},
  year         = {{2023}},
}

@article{35602,
  abstract     = {{Continuous Speech Separation (CSS) has been proposed to address speech overlaps during the analysis of realistic meeting-like conversations by eliminating any overlaps before further processing.
CSS separates a recording of arbitrarily many speakers into a small number of overlap-free output channels, where each output channel may contain speech of multiple speakers.
This is often done by applying a conventional separation model trained with Utterance-level Permutation Invariant Training (uPIT), which exclusively maps a speaker to an output channel, in sliding window approach called stitching.
Recently, we introduced an alternative training scheme called Graph-PIT that teaches the separation network to directly produce output streams in the required format without stitching.
It can handle an arbitrary number of speakers as long as never more of them overlap at the same time than the separator has output channels.
In this contribution, we further investigate the Graph-PIT training scheme.
We show in extended experiments that models trained with Graph-PIT also work in challenging reverberant conditions.
Models trained in this way are able to perform segment-less CSS, i.e., without stitching, and achieve comparable and often better separation quality than the conventional CSS with uPIT and stitching.
We simplify the training schedule for Graph-PIT with the recently proposed Source Aggregated Signal-to-Distortion Ratio (SA-SDR) loss.
It eliminates unfavorable properties of the previously used A-SDR loss and thus enables training with Graph-PIT from scratch.
Graph-PIT training relaxes the constraints w.r.t. the allowed numbers of speakers and speaking patterns which allows using a larger variety of training data.
Furthermore, we introduce novel signal-level evaluation metrics for meeting scenarios, namely the source-aggregated scale- and convolution-invariant Signal-to-Distortion Ratio (SA-SI-SDR and SA-CI-SDR), which are generalizations of the commonly used SDR-based metrics for the CSS case.}},
  author       = {{von Neumann, Thilo and Kinoshita, Keisuke and Boeddeker, Christoph and Delcroix, Marc and Haeb-Umbach, Reinhold}},
  issn         = {{2329-9290}},
  journal      = {{IEEE/ACM Transactions on Audio, Speech, and Language Processing}},
  keywords     = {{Continuous Speech Separation, Source Separation, Graph-PIT, Dynamic Programming, Permutation Invariant Training}},
  pages        = {{576--589}},
  publisher    = {{Institute of Electrical and Electronics Engineers (IEEE)}},
  title        = {{{Segment-Less Continuous Speech Separation of Meetings: Training and Evaluation Criteria}}},
  doi          = {{10.1109/taslp.2022.3228629}},
  volume       = {{31}},
  year         = {{2023}},
}

@inproceedings{49109,
  abstract     = {{We propose a diarization system, that estimates “who spoke when” based on spatial information, to be used as a front-end of a meeting transcription system running on the signals gathered from an acoustic sensor network (ASN). Although the
spatial distribution of the microphones is advantageous, exploiting the spatial diversity for diarization and signal enhancement is challenging, because the microphones’ positions are typically unknown, and the recorded signals are initially unsynchronized in general. Here, we approach these issues by first blindly synchronizing the signals and then estimating time differences of arrival (TDOAs). The TDOA information is exploited to estimate the speakers’ activity, even in the presence of multiple speakers being simultaneously active. This speaker activity information serves as a guide for a spatial mixture model, on which basis the individual speaker’s signals are extracted via beamforming. Finally, the extracted signals are forwarded to a speech recognizer. Additionally, a novel initialization scheme for spatial mixture models based on the TDOA estimates is proposed. Experiments conducted on real recordings from the LibriWASN data set have shown that our proposed system is advantageous compared to a system using a spatial mixture model, which does not make use
of external diarization information.}},
  author       = {{Gburrek, Tobias and Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold}},
  booktitle    = {{Proc. Asilomar Conference on Signals, Systems, and Computers}},
  keywords     = {{Diarization, time difference of arrival, ad-hoc acoustic sensor network, meeting transcription}},
  title        = {{{Spatial Diarization for Meeting Transcription with Ad-Hoc Acoustic Sensor Networks}}},
  year         = {{2023}},
}

@article{49760,
  author       = {{Jakobeit, Darius and Schenke, Maximilian and Wallscheid, Oliver}},
  issn         = {{0885-8993}},
  journal      = {{IEEE Transactions on Power Electronics}},
  keywords     = {{Electrical and Electronic Engineering}},
  number       = {{7}},
  pages        = {{8062--8074}},
  publisher    = {{Institute of Electrical and Electronics Engineers (IEEE)}},
  title        = {{{Meta-Reinforcement-Learning-Based Current Control of Permanent Magnet Synchronous Motor Drives for a Wide Range of Power Classes}}},
  doi          = {{10.1109/tpel.2023.3256424}},
  volume       = {{38}},
  year         = {{2023}},
}

@article{48599,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>The biexciton‐exciton emission cascade commonly used in quantum‐dot systems to generate polarization entanglement yields photons with intrinsically limited indistinguishability. In the present work, it focuses on the generation of pairs of photons with high degrees of polarization entanglement and simultaneously high indistinguishability. It achieves this goal by selectively reducing the biexciton lifetime with an optical resonator. It demonstrates that a suitably tailored circular Bragg reflector fulfills the requirements of sufficient selective Purcell enhancement of biexciton emission paired with spectrally broad photon extraction and twofold degenerate optical modes. The in‐depth theoretical study combines (i) the optimization of realistic photonic structures solving Maxwell's equations from which model parameters are extracted as input for (ii) microscopic simulations of quantum‐dot cavity excitation dynamics with full access to photon properties. It reports non‐trivial dependencies on system parameters and use the predictive power of the combined theoretical approach to determine the optimal range of Purcell enhancement that maximizes indistinguishability and entanglement to near unity values, here specifically for the telecom C‐band at 1550 nm.</jats:p>}},
  author       = {{Bauch, David and Siebert, Dustin and Jöns, Klaus and Förstner, Jens and Schumacher, Stefan}},
  issn         = {{2511-9044}},
  journal      = {{Advanced Quantum Technologies}},
  keywords     = {{tet_topic_qd}},
  publisher    = {{Wiley}},
  title        = {{{On‐Demand Indistinguishable and Entangled Photons Using Tailored Cavity Designs}}},
  doi          = {{10.1002/qute.202300142}},
  year         = {{2023}},
}

@unpublished{43246,
  abstract     = {{The biexciton-exciton emission cascade commonly used in quantum-dot systems to generate polarization entanglement yields photons with intrinsically limited indistinguishability. In the present work we focus on the generation of pairs of photons with high degrees of polarization entanglement and simultaneously high indistinguishibility. We achieve this goal by selectively reducing the biexciton lifetime with an optical resonator. We demonstrate that a suitably tailored circular Bragg reflector fulfills the requirements of sufficient selective Purcell enhancement of biexciton emission paired with spectrally broad photon extraction and two-fold degenerate optical modes. Our in-depth theoretical study combines (i) the optimization of realistic photonic structures solving Maxwell's equations from which model parameters are extracted as input for (ii) microscopic simulations of quantum-dot cavity excitation dynamics with full access to photon properties. We report non-trivial dependencies on system parameters and use the predictive power of our combined theoretical approach to determine the optimal range of Purcell enhancement that maximizes indistinguishability and entanglement to near unity values in the telecom C-band at $1550\,\mathrm{nm}$.}},
  author       = {{Bauch, David and Siebert, Dustin and Jöns, Klaus and Förstner, Jens and Schumacher, Stefan}},
  keywords     = {{tet_topic_phc, tet_topic_qd}},
  title        = {{{On-demand indistinguishable and entangled photons at telecom frequencies using tailored cavity designs}}},
  year         = {{2023}},
}

@inproceedings{46738,
  author       = {{Sadeghi-Kohan, Somayeh and Reimer, Jan Dennis and Hellebrand, Sybille and Wunderlich, Hans-Joachim}},
  booktitle    = {{IEEE Asian Test Symposium (ATS'23), October 2023}},
  title        = {{{Optimizing the Streaming of Sensor Data with Approximate Communication}}},
  year         = {{2023}},
}

@misc{48335,
  author       = {{Knorr, Lukas and Jungeilges, André and Pfeifer, Florian and Burmeister, Sascha Christian and Meschede, Henning}},
  publisher    = {{4. Aachener Ofenbau- und Thermoprozess-Kolloquium}},
  title        = {{{Regenerative Energien für einen effizienten Betrieb von Presshärtelinien}}},
  year         = {{2023}},
}

@inproceedings{44849,
  author       = {{Rautenberg, Frederik and Kuhlmann, Michael and Ebbers, Janek and Wiechmann, Jana and Seebauer, Fritz and Wagner, Petra and Haeb-Umbach, Reinhold}},
  booktitle    = {{Fortschritte der Akustik - DAGA 2023}},
  location     = {{Hamburg}},
  pages        = {{1409--1412}},
  title        = {{{Speech Disentanglement for Analysis and Modification of Acoustic and Perceptual Speaker Characteristics}}},
  year         = {{2023}},
}

@inproceedings{52370,
  author       = {{Vernholz, Mats}},
  booktitle    = {{Living and Leading in the Next Era: Connecting Teaching, Research, Citizenship and Equity}},
  editor       = {{Perla, Loredana and Agrati, Laura Sara and Vinci, Viviana and Scarinci, Alessia}},
  isbn         = {{9791255681038}},
  location     = {{Bari}},
  publisher    = {{Pensa Multimedia}},
  title        = {{{Academic self-concepts of pre-service technology teachers for vocational education in Germany according to the TPACK- Model}}},
  year         = {{2023}},
}

@misc{47540,
  author       = {{Knorr, Lukas and Schlosser, Florian and Meschede, Henning}},
  title        = {{{Economic Integration of a High-Temperature Heat Pump with Flexible Part-load Operation}}},
  year         = {{2023}},
}

@article{46264,
  abstract     = {{System-level interconnects provide the
backbone for increasingly complex systems on a chip. Their
vulnerability to electromigration and crosstalk can lead to
serious reliability and safety issues during the system lifetime.
This article presents an approach for periodic in-system testing
which maintains a reliability profile to detect potential
problems before they actually cause a failure. Relying on a
common infrastructure for EM-aware system workload
management and test, it minimizes the stress induced by the
test itself and contributes to the self-healing of system-induced
electromigration degradations. }},
  author       = {{Sadeghi-Kohan, Somayeh and Hellebrand, Sybille and Wunderlich, Hans-Joachim}},
  issn         = {{2168-2356}},
  journal      = {{IEEE Design &Test}},
  keywords     = {{Electrical and Electronic Engineering, Hardware and Architecture, Software}},
  pages        = {{1--1}},
  publisher    = {{Institute of Electrical and Electronics Engineers (IEEE)}},
  title        = {{{Workload-Aware Periodic Interconnect BIST}}},
  doi          = {{10.1109/mdat.2023.3298849}},
  year         = {{2023}},
}

@inproceedings{45830,
  author       = {{Jafarzadeh, Hanieh and Klemme, Florian and Reimer, Jan Dennis and Najafi Haghi, Zahra Paria and  Amrouch, Hussam and Hellebrand, Sybille and  Wunderlich, Hans-Joachim}},
  booktitle    = {{IEEE International Test Conference (ITC'23), Anaheim, USA, October 2023}},
  location     = {{Anaheim, USA}},
  publisher    = {{IEEE}},
  title        = {{{Robust Pattern Generation for Small Delay Faults under Process Variations}}},
  year         = {{2023}},
}

@inproceedings{53260,
  author       = {{Soleymani, Mohammad and Santamaria, Ignacio and Jorswieck, Eduard}},
  booktitle    = {{2023 31st European Signal Processing Conference (EUSIPCO)}},
  publisher    = {{IEEE}},
  title        = {{{Energy-Efficient Rate Splitting for MIMO STAR-RIS-Assisted Broadcast Channels with I/Q Imbalance}}},
  doi          = {{10.23919/eusipco58844.2023.10289964}},
  year         = {{2023}},
}