@inbook{46572, abstract = {{Indonesian is classified as underrepresented in the Natural Language Processing (NLP) field, despite being the tenth most spoken language in the world with 198 million speakers. The paucity of datasets is recognized as the main reason for the slow advancements in NLP research for underrepresented languages. Significant attempts were made in 2020 to address this drawback for Indonesian. The Indonesian Natural Language Understanding (IndoNLU) benchmark was introduced alongside IndoBERT pre-trained language model. The second benchmark, Indonesian Language Evaluation Montage (IndoLEM), was presented in the same year. These benchmarks support several tasks, including Named Entity Recognition (NER). However, all NER datasets are in the public domain and do not contain domain-specific datasets. To alleviate this drawback, we introduce IndQNER, a manually annotated NER benchmark dataset in the religious domain that adheres to a meticulously designed annotation guideline. Since Indonesia has the world’s largest Muslim population, we build the dataset from the Indonesian translation of the Quran. The dataset includes 2475 named entities representing 18 different classes. To assess the annotation quality of IndQNER, we perform experiments with BiLSTM and CRF-based NER, as well as IndoBERT fine-tuning. The results reveal that the first model outperforms the second model achieving 0.98 F1 points. This outcome indicates that IndQNER may be an acceptable evaluation metric for Indonesian NER tasks in the aforementioned domain, widening the research’s domain range.}}, author = {{Gusmita, Ria Hari and Firmansyah, Asep Fajar and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille}}, booktitle = {{Natural Language Processing and Information Systems}}, isbn = {{9783031353192}}, issn = {{0302-9743}}, keywords = {{NER benchmark dataset, Indonesian, specific domain}}, location = {{Derby, UK}}, publisher = {{Springer Nature Switzerland}}, title = {{{IndQNER: Named Entity Recognition Benchmark Dataset from the Indonesian Translation of the Quran}}}, doi = {{10.1007/978-3-031-35320-8_12}}, year = {{2023}}, } @inproceedings{46575, author = {{Baci, Alkid and Heindorf, Stefan}}, booktitle = {{CIKM}}, location = {{Birmingham, UK}}, pages = {{3733–3737}}, title = {{{Accelerating Concept Learning via Sampling}}}, doi = {{10.1145/3583780.3615158}}, year = {{2023}}, } @inproceedings{49890, abstract = {{In this paper, the influence of the environment on an inductive location system is analyzed. In the inductive location method, high frequency magnetic fields generated by planar coils lead to induction in other coils, which is used for localization analysis. Magnetic fields are not affected by changes in the dielectric properties of the environment, which is an advantage over other localization methods. However, electrical material parameters can still affect the localization results by indirect effects. For this reason, in this publication the influence will be investigated using real material parameters and their effects on the localization will be considered, so that the robustness and the limits of the inductive localization can be evaluated.}}, author = {{Lange, Sven and Hilleringmann, Ulrich and Hedayat, Christian and Kuhn, Harald and Förstner, Jens}}, booktitle = {{2023 IEEE Conference on Antenna Measurements and Applications (CAMA)}}, keywords = {{Planar coils, inductive locating, magnetic fields, environmental influences, eddy currents, tet_topic_hf, tet_enas}}, location = {{Genoa, Italy }}, publisher = {{IEEE}}, title = {{{Characterization of Various Environmental Influences on the Inductive Localization}}}, doi = {{10.1109/cama57522.2023.10352780}}, year = {{2023}}, } @inbook{52859, author = {{de Camargo e Souza Câmara, Igor and Turhan, Anni-Yasmin}}, booktitle = {{Logics in Artificial Intelligence}}, isbn = {{9783031436185}}, issn = {{0302-9743}}, publisher = {{Springer Nature Switzerland}}, title = {{{Deciding Subsumption in Defeasible 𝓔𝓛𝓘⊥ with Typicality Models}}}, doi = {{10.1007/978-3-031-43619-2_36}}, year = {{2023}}, } @inbook{58097, author = {{Mai, Tobias and Biehler, Rolf}}, booktitle = {{Beiträge zum Mathematikunterricht 2022. 56. Jahrestagung der Gesellschaft für Didaktik der Mathematik}}, publisher = {{WTM-Verlag}}, title = {{{Einblicke in ein Referenzmodell zur Analyse der Einführung von Vektoren in Schulbüchern}}}, year = {{2023}}, } @inbook{58101, author = {{Biehler, Rolf and Guntermann, Dominik and Liebendörfer, Michael and Krämer, Sandra and Schlüter, Sarah}}, booktitle = {{Beiträge zum Mathematikunterricht 2022. 56. Jahrestagung der Gesellschaft für Didaktik der Mathematik}}, publisher = {{WTM-Verlag}}, title = {{{Fachdidaktisches Design von Begründungsvideos im Projekt studiVEMINTvideos}}}, year = {{2023}}, } @inbook{58099, author = {{Lankeit, Elisa and Biehler, Rolf}}, booktitle = {{Beiträge zum Mathematikunterricht 2022. 56. Jahrestagung der Gesellschaft für Didaktik der Mathematik}}, publisher = {{WTM-Verlag}}, title = {{{Das totale Differential und die Richtungsableitung – Eine Analyse mit Blick in ausgewählte Lehrbücher}}}, year = {{2023}}, } @article{54632, author = {{Bentrup, Leon Alexander and Gräßer, Melanie and Temmen, Katrin and Schmid, Hans-Joachim}}, journal = {{die hochschullehre}}, number = {{9}}, publisher = {{wbv Publikation}}, title = {{{Entwicklung eines neuen Konzeptes zur Vermittlung von Lerntechniken und Selbstlernkompetenzen für Studierende des Maschinenbaus an der Universität Paderborn}}}, doi = {{10.3278/HSL2310W}}, year = {{2023}}, } @misc{48626, abstract = {{Die Erfindung betrifft einen elektrooptischen Mischer (1) mit elektrischem Ausgang, aufweisend: • eine Photodiode (PD), • einen ersten Anschluss, • einen zweiten Anschluss, • wobei die Anschlüsse eine erste Spannungsversorgung (V1) und eine zweite Spannungsversorgung (V2) oder eine erste Stromversorgung (I1) und eine zweite Stromversorgung (I2) anschließbar ist, • einen Anschluss für ein Kleinsignal-Massepotential, • ein erstes Teilanpassungsnetzwerk (Z2, Z4), welches auf der Anodenseite der Photodiode (PD) angeordnet ist, wobei ein Teil des ersten Teilanpassungsnetzwerkes (Z2) mit dem Anschluss für die zweite Spannungsversorgung (V2) schaltbar (S2) verbindbar ist, und wobei ein anderer Teil des ersten Teilanpassungsnetzwerkes (Z4) mit dem Anschluss für das Kleinsignal-Massepotential schaltbar (S2') verbindbar ist, • ein zweites Teilanpassungsnetzwerk (Z1, Z3), welches auf der Kathodenseite der Photodiode (PD) angeordnet ist, wobei ein Teil des zweiten Teilanpassungsnetzwerkes (Z1) mit dem Anschluss für die erste Spannungsversorgung (V1) schaltbar (S1) verbindbar ist, und wobei ein anderer Teil des zweiten Teilanpassungsnetzwerkes (Z3) mit dem Anschluss für das Kleinsignal-Massepotential schaltbar (S1') verbindbar ist, • ein erstes entkoppelndes Element (C1) angeordnet auf der Kathodenseite und ein zweites entkoppelndes Element (C2) angeordnet auf der Anodenseite der Photodiode (PD), • wobei zwischen den von der Photodiode (PD) abgewandten Seiten des ersten entkoppelnden Elementes (C1) und des zweiten entkoppelnden Elementes (C2) im Betrieb einelektrisches Ausgangssignal bereitgestellt werden kann.}}, author = {{Kruse, Stephan and Scheytt, J. Christoph}}, title = {{{Elektrooptischer Mischer}}}, year = {{2023}}, } @inproceedings{47521, abstract = {{This paper experimentally investigates and interprets the e®ects of noise and non- linearity in a silicon photonic optical test structure. For the analysis di®erent optoelectronic phase noise measurement techniques are used. Our tests focuses on the performance of integrated opti- cal test structures using femtosecond pulses in the 1550nm spectral range. A primary objective is to understand the behaviour of silicon photonic waveguides that can be further employed in the implementation of an optoelectronic phase-locked loop (OEPLL) in silicon photonics technology. A comparison of our results, as well as a discussion on the di®erent optoelectronic phase noise measurement techniques are presented. Our ¯ndings provide insights that can be leveraged to optimize the design and performance of ultra-low phase noise on-chip OEPLL systems locking to mode-locked laser (MLL) signals. In the future such systems can be essential for advanced communication and sensing applications.}}, author = {{Surendranath Shroff, Vijayalakshmi and Kress, Christian and Bahmanian, Meysam and Scheytt, J. Christoph}}, booktitle = {{2023 PhotonIcs & Electromagnetics Research Symposium (PIERS), }}, location = {{Prague, Czech Republic}}, publisher = {{IEEE}}, title = {{{Analysis of Phase Noise in Waveguide-integrated Optical Test Structures in Silicon Photonics}}}, doi = {{10.1109/PIERS59004.2023.10221473}}, year = {{2023}}, } @inproceedings{48281, abstract = {{ We propose a general framework to compute the word error rate (WER) of ASR systems that process recordings containing multiple speakers at their input and that produce multiple output word sequences (MIMO). Such ASR systems are typically required, e.g., for meeting transcription. We provide an efficient implementation based on a dynamic programming search in a multi-dimensional Levenshtein distance tensor under the constraint that a reference utterance must be matched consistently with one hypothesis output. This also results in an efficient implementation of the ORC WER which previously suffered from exponential complexity. We give an overview of commonly used WER definitions for multi-speaker scenarios and show that they are specializations of the above MIMO WER tuned to particular application scenarios. We conclude with a discussion of the pros and cons of the various WER definitions and a recommendation when to use which.}}, author = {{von Neumann, Thilo and Boeddeker, Christoph and Kinoshita, Keisuke and Delcroix, Marc and Haeb-Umbach, Reinhold}}, booktitle = {{ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}}, keywords = {{Word Error Rate, Meeting Recognition, Levenshtein Distance}}, publisher = {{IEEE}}, title = {{{On Word Error Rate Definitions and Their Efficient Computation for Multi-Speaker Speech Recognition Systems}}}, doi = {{10.1109/icassp49357.2023.10094784}}, year = {{2023}}, } @inproceedings{48275, abstract = {{MeetEval is an open-source toolkit to evaluate all kinds of meeting transcription systems. It provides a unified interface for the computation of commonly used Word Error Rates (WERs), specifically cpWER, ORC WER and MIMO WER along other WER definitions. We extend the cpWER computation by a temporal constraint to ensure that only words are identified as correct when the temporal alignment is plausible. This leads to a better quality of the matching of the hypothesis string to the reference string that more closely resembles the actual transcription quality, and a system is penalized if it provides poor time annotations. Since word-level timing information is often not available, we present a way to approximate exact word-level timings from segment-level timings (e.g., a sentence) and show that the approximation leads to a similar WER as a matching with exact word-level annotations. At the same time, the time constraint leads to a speedup of the matching algorithm, which outweighs the additional overhead caused by processing the time stamps.}}, author = {{von Neumann, Thilo and Boeddeker, Christoph and Delcroix, Marc and Haeb-Umbach, Reinhold}}, booktitle = {{Proc. CHiME 2023 Workshop on Speech Processing in Everyday Environments}}, keywords = {{Speech Recognition, Word Error Rate, Meeting Transcription}}, location = {{Dublin}}, title = {{{MeetEval: A Toolkit for Computation of Word Error Rates for Meeting Transcription Systems}}}, year = {{2023}}, } @inproceedings{47128, author = {{Cord-Landwehr, Tobias and Boeddeker, Christoph and Zorilă, Cătălin and Doddipatla, Rama and Haeb-Umbach, Reinhold}}, booktitle = {{ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}}, location = {{Rhodes}}, publisher = {{IEEE}}, title = {{{Frame-Wise and Overlap-Robust Speaker Embeddings for Meeting Diarization}}}, doi = {{10.1109/icassp49357.2023.10095370}}, year = {{2023}}, } @inproceedings{47129, author = {{Cord-Landwehr, Tobias and Boeddeker, Christoph and Zorilă, Cătălin and Doddipatla, Rama and Haeb-Umbach, Reinhold}}, booktitle = {{INTERSPEECH 2023}}, publisher = {{ISCA}}, title = {{{A Teacher-Student Approach for Extracting Informative Speaker Embeddings From Speech Mixtures}}}, doi = {{10.21437/interspeech.2023-1379}}, year = {{2023}}, } @inproceedings{54439, author = {{Boeddeker, Christoph and Cord-Landwehr, Tobias and von Neumann, Thilo and Haeb-Umbach, Reinhold}}, booktitle = {{7th International Workshop on Speech Processing in Everyday Environments (CHiME 2023)}}, publisher = {{ISCA}}, title = {{{Multi-stage diarization refinement for the CHiME-7 DASR scenario}}}, doi = {{10.21437/chime.2023-10}}, year = {{2023}}, } @inproceedings{48390, author = {{Berger, Simon and Vieting, Peter and Boeddeker, Christoph and Schlüter, Ralf and Haeb-Umbach, Reinhold}}, booktitle = {{INTERSPEECH 2023}}, publisher = {{ISCA}}, title = {{{Mixture Encoder for Joint Speech Separation and Recognition}}}, doi = {{10.21437/interspeech.2023-1815}}, year = {{2023}}, } @article{47009, abstract = {{We present a fully integrated radio frequency identifications transponder chip operating at 5.8 GHz, which is compatible with the class-1 generation-2 of the Electronic Product Code protocol (EPC-C1 G2). The tag chip including the analog front-end and the digital baseband processor, are designed in the sub-threshold regime (0.5 V) with a total supply current of less than 50 μA. As a power scavenging unit, a single-stage differential-drive rectifier structure is designed and fabricated with standard threshold voltage (SVT) MOS elements in a commercial 65-nm CMOS process, to provide 0.8 V of rectified voltage. Measurements performed on the fabricated single-stage structure show a maximum power conversion efficiency of 69.6% for a 22 kΩ load and a sensitivity of -12.5 dBm, which corresponds to more than 1 m of reading range. The power conversion efficiency at this range is about 64%.}}, author = {{Haddadian, Sanaz and Scheytt, J. Christoph and von Bögel, Gerd and Grenter, Thorben}}, issn = {{2469-7281}}, journal = {{ IEEE Journal of Radio Frequency Identification}}, publisher = {{IEEE}}, title = {{{A Sub-Threshold Microwave RFID Tag Chip, Compatible With RFID MIMO Reader Technology}}}, doi = {{10.1109/JRFID.2023.3308332}}, year = {{2023}}, } @phdthesis{58680, abstract = {{Heutige On-Board-Ladewandler sind typischerweise aus zwei Stufen aufgebaut, die über einen Spannungszwischenkreis verbunden sind. Als erste Stufe kommt ein PFC-Gleichrichter zum Einsatz, der die Anforderungen an den Netzstrom bezüglich Oberschwingungsgehalt und Leistungsfaktor sicherstellt. Für die zweite Wandler-Stufe hat sich in den vergangenen Jahren ein LLC-Resonanzwandler qualifiziert, der die Ladeleistung an die Traktionsbatterie galvanisch getrennt überträgt. Der Zwischenkreis besteht aus einer Bank von Elektrolytkondensatoren, in denen die pulsierende Eingangsleistung zwischengespeichert wird. Die Kondensatoren machen einen erheblichen Teil des Lader-Volumens aus und altern schnell, was insbesondere für Ladewandler an Bord von Elektrofahrzeugen unerwünscht ist. In der vorliegenden Arbeit wird untersucht, ob diese zweistufige Struktur verworfen werden kann, indem der LLC-Resonanzwandler direkt an die gleichgerichtete Netzspannung angeschlossen wird.Zum Einsatz des LLC-Resonanzwandlers als einstufiger Ladewandler ist die Schaltung für einen großen Strom- und Spannungsbereich auszulegen. Hierfür wird in der vorliegenden Arbeit eine erweiterte Zeitbereichsanalyse erarbeitet, deren hohe Modellierungsgenauigkeit im Anschluss experimentell nachgewiesen wird. Mit Hilfe dieser Zeitbereichsanalyse werden die Belastungsgrößen des Resonanzwandlers berechnet, um hiermit eine Vorauswahl der Schaltungsparameter treffen zu können. Darauf aufbauend erfolgt die Optimierung des integrierten Transformators als Schlüsselkomponente des Ladewandlers sowie dessen prototypische Realisierung. Abschließend wird mittels Prototypen die erzielbare Leistungsdichte ermittelt. Ergebnis: Verglichen mit etablierten Ladewandlern der heutigen Elektrofahrzeuge konnte durch den einstufigen Ansatz die Leistungsdichte um ca. 53% gesteigert werden.}}, author = {{Keuck, Lukas}}, publisher = {{LibreCat University}}, title = {{{Entwurf eines einstufigen Ladewandlers auf Basis eines LLC-Resonanzwandlers}}}, doi = {{10.17619/UNIPB/1-1727}}, year = {{2023}}, } @inproceedings{58723, abstract = {{In real-world debates, the most common way to counter an argument is to reason against its main point, that is, its conclusion. Existing work on the automatic generation of natural language counter-arguments does not address the relation to the conclusion, possibly because many arguments leave their conclusion implicit. In this paper, we hypothesize that the key to effective counter-argument generation is to explicitly model the argument‘s conclusion and to ensure that the stance of the generated counter is opposite to that conclusion. In particular, we propose a multitask approach that jointly learns to generate both the conclusion and the counter of an input argument. The approach employs a stance-based ranking component that selects the counter from a diverse set of generated candidates whose stance best opposes the generated conclusion. In both automatic and manual evaluation, we provide evidence that our approach generates more relevant and stance-adhering counters than strong baselines.}}, author = {{Alshomary, Milad and Wachsmuth, Henning}}, booktitle = {{Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics}}, editor = {{Vlachos, Andreas and Augenstein, Isabelle}}, pages = {{957–967}}, publisher = {{Association for Computational Linguistics}}, title = {{{Conclusion-based Counter-Argument Generation}}}, doi = {{10.18653/v1/2023.eacl-main.67}}, year = {{2023}}, } @inproceedings{46426, abstract = {{One of the main challenges for next generation automotive radars is the improvement of angular resolution to a sub-degree level. In this context, wide aperture automotive radars of 1m length or more and resolution close to 0.1° in azimuth and 0.5° in elevation could be beneficial. To enable coherent processing of arrays with such large aperture, prior (i.e offline) and online calibration are necessary: channel imbalances (gains and phases) and three dimensional coordinates of transmit and receive elements need to be determined. We propose a calibration strategy based on alternating steps between the two subtasks of i) channel imbalance estimation with ‘known’ array positions, by applying a singular value decomposition to the resulting tensor calculus problem; and ii) antenna position estimation with ’known’ channel imbalances, by numerically maximizing the Bayesian posterior probability; in both cases operating on range/Doppler snapshots of disjoint targets (with potentially unknown locations). Simulation studies based on the parameters of a MIMO 8x6 linear sparse array show promising results as long as the initial position errors do not exceed half a wavelength (2mm), beyond which we observe strong effects of ambiguity. Experimental results with real measurements show that after calibration in laboratory conditions, our MIMO 8x6 demonstrator with 50cm aperture is able to resolve two targets at the same range with angular separation at least as close as 0.4°.}}, author = {{Greiff, Christian and Mateos-Núñez, David and Simoni, Renato and González-Huici, Maria and Kruse, Stephan and Scheytt, J. Christoph and Kolk, Karl and Höller, Christian and Kurz, Heiko Gustav and Meinecke, Marc-Michael and Gisder, Thomas}}, booktitle = {{2023 24th International Radar Symposium (IRS)}}, location = {{Berlin, Germany}}, publisher = {{IEEE}}, title = {{{Calibration of Large Coherent MIMO Radar Arrays: Channel Imbalances and 3D Antenna Positions}}}, doi = {{10.23919/IRS57608.2023.10172475}}, year = {{2023}}, }