@article{45382,
  author       = {{Prediger, Susanne and Dröse, Jennifer}},
  journal      = {{Lernen und Lernstörungen, 10(2)}},
  title        = {{{Fehlerbearbeitung bei mathematischen Textaufgaben – Sprachliche und strategische Fehlerursachen und ihre Bearbeitung}}},
  doi          = {{doi.org/10.1024/2235-0977/a000330}},
  year         = {{2021}},
}

@article{28684,
  author       = {{Bloh, Bea and Wehde, Janis}},
  journal      = {{Lernende Schule}},
  number       = {{96}},
  pages        = {{27--30}},
  title        = {{{Salutogenes Leitungshandeln. Ein Ansatz zur Gesundheitsförderung und Qualitätsentwicklung in der Schule.}}},
  year         = {{2021}},
}

@inproceedings{26770,
  abstract     = {{Automatic transcription of meetings requires handling of overlapped speech, which calls for continuous speech separation (CSS) systems. The uPIT criterion was proposed for utterance-level separation with neural networks and introduces the constraint that the total number of speakers must not exceed the number of output channels. When processing meeting-like data in a segment-wise manner, i.e., by separating overlapping segments independently and stitching adjacent segments to continuous output streams, this constraint has to be fulfilled for any segment. In this contribution, we show that this constraint can be significantly relaxed. We propose a novel graph-based PIT criterion, which casts the assignment of utterances to output channels in a graph coloring problem. It only requires that the number of concurrently active speakers must not exceed the number of output channels. As a consequence, the system can process an arbitrary number of speakers and arbitrarily long segments and thus can handle more diverse scenarios.
Further, the stitching algorithm for obtaining a consistent output order in neighboring segments is of less importance and can even be eliminated completely, not the least reducing the computational effort. Experiments on meeting-style WSJ data show improvements in recognition performance over using the uPIT criterion. }},
  author       = {{von Neumann, Thilo and Kinoshita, Keisuke and Boeddeker, Christoph and Delcroix, Marc and Haeb-Umbach, Reinhold}},
  booktitle    = {{Interspeech 2021}},
  keywords     = {{Continuous speech separation, automatic speech recognition, overlapped speech, permutation invariant training}},
  title        = {{{Graph-PIT: Generalized Permutation Invariant Training for Continuous Separation of Arbitrary Numbers of Speakers}}},
  doi          = {{10.21437/interspeech.2021-1177}},
  year         = {{2021}},
}

@inproceedings{29173,
  author       = {{von Neumann, Thilo and Boeddeker, Christoph and Kinoshita, Keisuke and Delcroix, Marc and Haeb-Umbach, Reinhold}},
  booktitle    = {{Speech Communication; 14th ITG Conference}},
  location     = {{Kiel}},
  title        = {{{Speeding Up Permutation Invariant Training for Source Separation}}},
  year         = {{2021}},
}

@article{24037,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Innovation projects are characterized by numerous uncertainties. Typical concepts in development management like the application of safety coefficients imply limitations of the solution space. In contrast, explicit handling of uncertainties can support engineers in understanding the problem space and in utilising the full potential of the design space along iterative product development steps. As a result from literature analysis, there is a lack of a support for product development that addresses the specific problem of uncertainty and risk in the context of requirement changes. The aim of the contribution at hand is to enhance the efficient development of complex interdisciplinary systems by enabling uncertainty handling in requirements change management. Based on a classification of uncertainty types resulting in a descriptive model, risk management measures are identified to support requirements engineers. The proposed method includes identification &amp; modelling, analysis, treatment and monitoring of risks and counter-measures. By applying this method, engineers are supported in adopting agile approaches and enabling flexible Requirements Engineering.</jats:p>}},
  author       = {{Gräßler, Iris and Pottebaum, Jens and Oleff, Christian and Preuß, Daniel}},
  issn         = {{2732-527X}},
  journal      = {{Proceedings of the Design Society}},
  location     = {{Gothenburg}},
  pages        = {{1687--1696}},
  title        = {{{Handling of explicit Uncertainty in Requirements Change Management}}},
  doi          = {{10.1017/pds.2021.430}},
  volume       = {{1}},
  year         = {{2021}},
}

@inproceedings{25534,
  author       = {{Gräßler, Iris and Pottebaum, Jens and Roesmann, Daniel and Mandischer, Nils and Gürtler, Marius and Hüsing, Mathias and Corves, Burkhard}},
  booktitle    = {{Mensch und Computer 2021 - Workshopband}},
  editor       = {{Wienrich, C. and Wintersberger, P. and Weyers, B.}},
  title        = {{{Fähigkeitsorientierte Aufgabenzuordnung für die Mensch-Roboter-Kollaboration in sicherheitskritischen Einsatzsituationen}}},
  doi          = {{10.18420/muc2021-mci-ws08-376}},
  year         = {{2021}},
}

@inproceedings{23511,
  author       = {{Gräßler, Iris and Roesmann, Daniel and Pottebaum, Jens}},
  booktitle    = {{14th CIRP Conference on Intelligent Computation in Manufacturing Engineering; 15. - 17. Jul. 2020}},
  pages        = {{57--62}},
  publisher    = {{Elsevier B. V.}},
  title        = {{{Model based Integration of Human Characteristics in Production Systems: A Literature Survey}}},
  doi          = {{https://doi.org/10.1016/j.procir.2021.03.010}},
  year         = {{2021}},
}

@article{23390,
  author       = {{Gräßler, Iris and Pottebaum, Jens}},
  journal      = {{ Applied Sciences}},
  pages        = {{4516}},
  title        = {{{Generic Product Lifecycle Model: A Holistic and Adaptable Approach for Multi-Disciplinary Product-Service Systems}}},
  doi          = {{10.3390/app11104516}},
  volume       = {{11}},
  year         = {{2021}},
}

@inproceedings{29308,
  abstract     = {{In this paper we present our system for the Detection and Classification of Acoustic Scenes and Events (DCASE) 2021 Challenge Task 4: Sound Event Detection and Separation in Domestic Environments, where it scored the fourth rank. Our presented solution is an advancement of our system used in the previous edition of the task.We use a forward-backward convolutional recurrent neural network (FBCRNN) for tagging and pseudo labeling followed by tag-conditioned sound event detection (SED) models which are trained using strong pseudo labels provided by the FBCRNN. Our advancement over our earlier model is threefold. First, we introduce a strong label loss in the objective of the FBCRNN to take advantage of the strongly labeled synthetic data during training. Second, we perform multiple iterations of self-training for both the FBCRNN and tag-conditioned SED models. Third, while we used only tag-conditioned CNNs as our SED model in the previous edition we here explore sophisticated tag-conditioned SED model architectures, namely, bidirectional CRNNs and bidirectional convolutional transformer neural networks (CTNNs), and combine them. With metric and class specific tuning of median filter lengths for post-processing, our final SED model, consisting of 6 submodels (2 of each architecture), achieves on the public evaluation set poly-phonic sound event detection scores (PSDS) of 0.455 for scenario 1 and 0.684 for scenario as well as a collar-based F1-score of 0.596 outperforming the baselines and our model from the previous edition by far. Source code is publicly available at https://github.com/fgnt/pb_sed.}},
  author       = {{Ebbers, Janek and Haeb-Umbach, Reinhold}},
  booktitle    = {{Proceedings of the 6th Detection and Classification of Acoustic Scenes and Events 2021 Workshop (DCASE2021)}},
  isbn         = {{978-84-09-36072-7}},
  pages        = {{226–230}},
  title        = {{{Self-Trained Audio Tagging and Sound Event Detection in Domestic Environments}}},
  year         = {{2021}},
}

@inproceedings{29306,
  abstract     = {{Recently, there has been a rising interest in sound recognition via Acoustic Sensor Networks to support applications such as ambient assisted living or environmental habitat monitoring. With state-of-the-art sound recognition being dominated by deep-learning-based approaches, there is a high demand for labeled training data. Despite the availability of large-scale  data sets such as Google's AudioSet, acquiring training data matching a certain application environment is still often a problem. In this paper we are concerned with human activity monitoring in a domestic environment using an ASN consisting of multiple nodes each providing multichannel signals. We propose a self-training based domain adaptation approach, which only requires unlabeled data from the target environment. Here, a sound recognition system trained on AudioSet, the teacher, generates pseudo labels for data from the target environment on which a student network is trained. The student can furthermore glean information about the spatial arrangement of sensors and sound sources to further improve classification performance. It is shown that  the student significantly improves recognition performance over the pre-trained teacher without relying on labeled data from the environment the system is deployed in.}},
  author       = {{Ebbers, Janek and Keyser, Moritz Curt and Haeb-Umbach, Reinhold}},
  booktitle    = {{Proceedings of the 29th European Signal Processing Conference (EUSIPCO)}},
  pages        = {{1135–1139}},
  title        = {{{Adapting Sound Recognition to A New Environment Via Self-Training}}},
  year         = {{2021}},
}

@article{24456,
  abstract     = {{One objective of current research in explainable intelligent systems is to implement social aspects in order to increase the relevance of explanations. In this paper, we argue that a novel conceptual framework is needed to overcome shortcomings of existing AI systems with little attention to processes of interaction and learning. Drawing from research in interaction and development, we first outline the novel conceptual framework that pushes the design of AI systems toward true interactivity with an emphasis on the role of the partner and social relevance. We propose that AI systems will be able to provide a meaningful and relevant explanation only if the process of explaining is extended to active contribution of both partners that brings about dynamics that is modulated by different levels of analysis. Accordingly, our conceptual framework comprises monitoring and scaffolding as key concepts and claims that the process of explaining is not only modulated by the interaction between explainee and explainer but is embedded into a larger social context in which conventionalized and routinized behaviors are established. We discuss our conceptual framework in relation to the established objectives of transparency and autonomy that are raised for the design of explainable AI systems currently.}},
  author       = {{Rohlfing, Katharina J. and Cimiano, Philipp and Scharlau, Ingrid and Matzner, Tobias and Buhl, Heike M. and Buschmeier, Hendrik and Esposito, Elena and Grimminger, Angela and Hammer, Barbara and Haeb-Umbach, Reinhold and Horwath, Ilona and Hüllermeier, Eyke and Kern, Friederike and Kopp, Stefan and Thommes, Kirsten and Ngonga Ngomo, Axel-Cyrille and Schulte, Carsten and Wachsmuth, Henning and Wagner, Petra and Wrede, Britta}},
  issn         = {{2379-8920}},
  journal      = {{IEEE Transactions on Cognitive and Developmental Systems}},
  keywords     = {{Explainability, process ofexplaining andunderstanding, explainable artificial systems}},
  number       = {{3}},
  pages        = {{717--728}},
  title        = {{{Explanation as a Social Practice: Toward a Conceptual Framework for the Social Design of AI Systems}}},
  doi          = {{10.1109/tcds.2020.3044366}},
  volume       = {{13}},
  year         = {{2021}},
}

@article{23469,
  abstract     = {{The implementation of control systems in metal forming processes improves product quality and productivity. By controlling workpiece properties during the process, beneficial effects caused by forming can be exploited and integrated in the product design. The overall goal of this investigation is to produce tailored tubular parts with a defined locally graded microstructure by means of reverse flow forming. For this purpose, the proposed system aims to control both the desired geometry of the workpiece and additionally the formation of strain-induced α′-martensite content in the metastable austenitic stainless steel AISI 304 L. The paper introduces an overall control scheme, a geometry model for describing the process and changes in the dimensions of the workpiece, as well as a material model for the process-induced formation of martensite, providing equations based on empirical data. Moreover, measurement systems providing a closed feedback loop are presented, including a novel softsensor for in-situ measurements of the martensite content.}},
  author       = {{Riepold, Markus and Arian, Bahman and Vasquez, Julian Rozo and Homberg, Werner and Walther, Frank and Trächtler, Ansgar}},
  issn         = {{2666-9129}},
  journal      = {{Advances in Industrial and Manufacturing Engineering}},
  title        = {{{Model approaches for closed-loop property control for flow forming}}},
  doi          = {{10.1016/j.aime.2021.100057}},
  year         = {{2021}},
}

@article{49891,
  abstract     = {{<jats:p>This case study looks at a self-directed learning process of a professional classical-trained musician adopting a previously unknown digital-material musical device. In order to achieve the desired artistic result, the musician has to modify his music-related action in favour of the device’s calls for action, which are shown to him by a preset session. For this purpose, a specific interface relation must be established in the connection between the user and the device. The case study is contrasted with data from its framing research project. Findings include aspects as affirmation or degrees of unfamiliarity and their respective impacts on the subject’s action repertoires. A model of learning in the context of digital media or interfaces is introduced and discussed. It offers a specific potential for identifying particularities of how meaning and functionality of digital-material musical devices are embedded into everyday artistic contexts.</jats:p>}},
  author       = {{Neuhausen, Timo and Wernicke, Carsten and Ahlers, Michael}},
  issn         = {{1752-7066}},
  journal      = {{Journal of Music, Technology &amp; Education}},
  keywords     = {{Music, Education, Music Technology}},
  number       = {{2}},
  pages        = {{287--304}},
  publisher    = {{Intellect}},
  title        = {{{Technology-centred learning processes as digital artistic development: On the reciprocal effects of conceptual models, metaphors and presets}}},
  doi          = {{10.1386/jmte_00027_1}},
  volume       = {{13}},
  year         = {{2021}},
}

@article{32318,
  author       = {{Kißling, Magdalena and Neumeier, Maya Marie}},
  journal      = {{Studia Germanica Posnaniensia}},
  pages        = {{131--146 }},
  title        = {{{Obsolete Männlichkeit. Serienästhetisches Lernen an geschlechtskodierten Körperbildern in der Romanadaption BABYLON BERLIN}}},
  volume       = {{ XLI }},
  year         = {{2021}},
}

@inproceedings{24160,
  abstract     = {{In automotive and other fields of application media-carrying components often have complex, flow-optimized geometries and are made of plastics for reasons of weight and cost. Therefore, the laser sintering technology is predestinated to manufacture these components as it offers a very high degree of design freedom and good mechanical properties.
For industrial applications the long-term properties of the SLS material in contact with liquid media are important and were therefore investigated for PA12, PP and PA613. Hereby, different media such as motor oil or Glysantin based coolant were tested with different temperatures and immersion times of up to 26 weeks. The mechanical properties were tested after immersion and compared to injection molded samples. Furthermore, laser sintering design guidelines for media-carrying components were developed. These guidelines for instance include the minimum wall thickness to ensure media tightness and the removal of powder from channels with a high length to diameter ratio.}},
  author       = {{Kletetzka, Ivo and Kummert, Christina and Schmid, Hans-Joachim}},
  booktitle    = {{Proceedings of the 32nd Annual International Solid Freeform Fabrication Symposium}},
  location     = {{Austin}},
  publisher    = {{Laboratory for Freeform Fabrication and University of Texas}},
  title        = {{{Laser Sintering Design Guidelines for media transmitting Components}}},
  doi          = {{http://dx.doi.org/10.26153/tsw/17548}},
  volume       = {{32}},
  year         = {{2021}},
}

@inproceedings{22218,
  author       = {{Krauter, Stefan and Böcker, Joachim and Freitag, Christine and Hehenkamp, Burkhard and Hilleringmann, Ulrich and Temmen, Katrin and Klaus, Tobias and Rohrer, Nicolaus and Lehmann, Sven}},
  booktitle    = {{Tagungsband des 36. PV-Symposiums, 18.-26 Mai 2021}},
  isbn         = {{978-3-948176-14-3}},
  keywords     = {{Art-D, Afrika, Resilienz, Resilience, Grid stability, robustness, microgrids}},
  location     = {{Staffelstein / online}},
  pages        = {{305--309}},
  publisher    = {{Conexio}},
  title        = {{{Projekt Art-D Grids: Nachhaltige und stabile Microgrids in Afrika - eine Plattform für Forschung und Lehre für die Entwicklung}}},
  year         = {{2021}},
}

@inproceedings{35131,
  abstract     = {{An FPGA accelerator for the computation of the semi-global Levenshtein distance between a pattern and a reference text is presented. The accelerator provides an important benefit to reduce the execution time of read-mappers used in short-read genomic sequencing. Previous attempts to solve the same problem in FPGA use the Myers algorithm following a column approach to compute the dynamic programming table. We use an approach based on diagonals that allows for some resource savings while maintaining a very high throughput of 1 alignment per clock cycle. The design is implemented in OpenCL and tested on two FPGA accelerators. The maximum performance obtained is 91.5 MPairs/s for 100 × 120 sequences and 47 MPairs/s for 300 × 360 sequences, the highest ever reported for this problem.}},
  author       = {{Castells-Rufas, David and Marco-Sola, Santiago and Aguado-Puig, Quim and Espinosa-Morales, Antonio and Moure, Juan Carlos and Alvarez, Lluc and Moreto, Miquel}},
  booktitle    = {{2021 31st International Conference on Field-Programmable Logic and Applications (FPL)}},
  keywords     = {{pc2-harp-ressources}},
  publisher    = {{IEEE}},
  title        = {{{OpenCL-based FPGA Accelerator for Semi-Global Approximate String Matching Using Diagonal Bit-Vectors}}},
  doi          = {{10.1109/fpl53798.2021.00036}},
  year         = {{2021}},
}

@inproceedings{29937,
  author       = {{Karp, Martin and Podobas, Artur and Jansson, Niclas and Kenter, Tobias and Plessl, Christian and Schlatter, Philipp and Markidis, Stefano}},
  booktitle    = {{2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS)}},
  publisher    = {{IEEE}},
  title        = {{{High-Performance Spectral Element Methods on Field-Programmable Gate Arrays : Implementation, Evaluation, and Future Projection}}},
  doi          = {{10.1109/ipdps49936.2021.00116}},
  year         = {{2021}},
}

@inbook{32488,
  abstract     = {{<jats:p>In diesem Beitrag wird das Konzept des student engagement mit den drei Dimensionen Verhalten, Emotion und Kognition skizziert und in Bezug auf die unterstützenden Faktoren für Lehre auf Distanz in digitalen Lehr-Lernsettings untersucht. Ein Abgleich der theoretischen Grundlagen mit Forschungsergebnissen verschiedener Studien zum Onlinesemester 2020 sowie eine Konkretisierung durch Evaluationen aus Seminaren der englischen Sprachwissenschaft und der Kunstdidaktik gibt Aufschluss darüber, wie ein geeignetes how to engage auch in digitalen Lehr-Lernsettings gelingen kann. Darüber hinaus lassen die Ausführungen erkennen, dass die unterstützenden Faktoren häufig in ähnlich priorisiert werden. Daraus ergibt sich eine Reihenfolge mit dem unterstützenden Umfeld an erster, aktivem und kollaborativem Lernen an zweiter, Erleben von Kompetenz an dritter und akademischer Herausforderung an vierter Stelle. Die Ergebnisse können damit einen Weg aufzeigen, wie auch in ungewohnten Lehr-Lernsettings sukzessive ein geeignetes how to engage entwickelt werden kann, um student engagement zu fördern.</jats:p>}},
  author       = {{Schmidt, Rebekka and Mindt, Ilka}},
  booktitle    = {{Hochschule auf Abstand. Ein multiperspektivischer Zugang zur digitalen Lehre }},
  editor       = {{Neiske, Iris and Osthushenrich, Judith and Schaper, Niclas and Trier, Ulrike and Vöing, Nerea}},
  issn         = {{2749-7623}},
  pages        = {{117--140}},
  publisher    = {{transcript Verlag}},
  title        = {{{Student engagement in digitalen Lehr-Lern-Szenarien}}},
  doi          = {{10.14361/9783839456903-009}},
  year         = {{2021}},
}

@article{50862,
  author       = {{Blank, Andreas}},
  journal      = {{Journal of Modern Philosophy}},
  number       = {{5}},
  pages        = {{1--21}},
  title        = {{{“Mably on Esteem, Republicanism, and the Question of Human Corruption.” }}},
  volume       = {{3}},
  year         = {{2021}},
}