@article{21092, abstract = {{Automated Machine Learning (AutoML) seeks to automatically find so-called machine learning pipelines that maximize the prediction performance when being used to train a model on a given dataset. One of the main and yet open challenges in AutoML is an effective use of computational resources: An AutoML process involves the evaluation of many candidate pipelines, which are costly but often ineffective because they are canceled due to a timeout. In this paper, we present an approach to predict the runtime of two-step machine learning pipelines with up to one pre-processor, which can be used to anticipate whether or not a pipeline will time out. Separate runtime models are trained offline for each algorithm that may be used in a pipeline, and an overall prediction is derived from these models. We empirically show that the approach increases successful evaluations made by an AutoML tool while preserving or even improving on the previously best solutions.}}, author = {{Mohr, Felix and Wever, Marcel Dominik and Tornede, Alexander and Hüllermeier, Eyke}}, journal = {{IEEE Transactions on Pattern Analysis and Machine Intelligence}}, publisher = {{IEEE}}, title = {{{Predicting Machine Learning Pipeline Runtimes in the Context of Automated Machine Learning}}}, year = {{2021}}, } @article{21094, author = {{Aldahhak, Hazem and Hogan, Conor and Lindner, Susi and Appelfeller, Stephan and Eisele, Holger and Schmidt, Wolf Gero and Dähne, Mario and Gerstmann, Uwe and Franz, Martin}}, issn = {{2469-9950}}, journal = {{Physical Review B}}, title = {{{Electronic structure of the Si(111)3×3R30°−B surface from theory and photoemission spectroscopy}}}, doi = {{10.1103/physrevb.103.035303}}, year = {{2021}}, } @article{21125, author = {{Kismann, Michael and Riedl, Dr. Thomas and Lindner, Prof. Dr. Jörg KN}}, journal = {{Materials Science in Semiconductor Processing}}, title = {{{Ordered arrays of Si nanopillars with alternating diameters fabricated by nanosphere lithography and metal-assisted chemical etching}}}, year = {{2021}}, } @phdthesis{21183, abstract = {{Die präzise Kenntnis der Eigenschaften verwendeter Materialien hat große Bedeutung für den Entwurf technischer Systeme aller Art, aber auch für die Überwachung solcher Systeme im Betrieb. Für verschiedene physikalische Eigenschaften, Betriebsbedingungen und Materialklassen werden daher geeignete messtechnische Verfahren zur Materialcharakterisierung benötigt. In der vorliegenden Arbeit wird ein Verfahren zur ultraschallbasierten Charakterisierung der mechanischen Eigenschaften von homogenen und faserverstärkten thermoplastischen Polymeren unter Berücksichtigung der Richtungsabhängigkeit vorgestellt. Plattenförmige Probekörper werden dazu mittels Laser-Pulsen hoher Energie breitbandig angeregt und die resultierenden akustischen Lamb-Wellen aufgezeichnet. Auf Basis der dispersiven Eigenschaften der detektierten Wellenleitermoden werden in einem inversen Verfahren die Parameter eines linear-elastischen Materialmodells identifiziert. Darüber hinaus wird ein Verfahren zur vollständigen Charakterisierung der Richtungsabhängigkeit in orthotropen Materialien wie Faserverbundwerkstoffen unter Verwendung eines zweidimensionalen Simulationsmodells vorgestellt. Das Messverfahren wird anhand einer Untersuchungsreihe an künstlich gealterten Polymer- und Faserverbundwerkstoffen verifiziert und die Übertragbarkeit der Ergebnisse auf den quasistatischen Fall betrachtet. Im Vergleich mit den Ergebnissen mechanischer Zugversuche werden die Voraussetzungen und Einschränkungen, insbesondere durch die Annahme eines ideal-elastischen Materialmodells, diskutiert.}}, author = {{Webersen, Manuel}}, publisher = {{Universitätsbibliothek Paderborn}}, title = {{{Zerstörungsfreie Charakterisierung der elastischen Materialeigenschaften thermoplastischer Polymerwerkstoffe mittels Ultraschall}}}, doi = {{10.17619/UNIPB/1-1088}}, year = {{2021}}, } @article{21195, author = {{Goelz, Christian and Mora, Karin and Stroehlein, Julia Kristin and Haase, Franziska Katharina and Dellnitz, Michael and Reinsberger, Claus and Vieluf, Solveig}}, journal = {{Cognitive Neurodynamics}}, title = {{{Electrophysiological signatures of dedifferentiation differ between fit and less fit older adults}}}, doi = {{10.1007/s11571-020-09656-9}}, year = {{2021}}, } @misc{21197, author = {{Mengshi, Ma}}, title = {{{Self-stabilizing Arrow Protocol on Spanning Trees with a Low Diameter}}}, year = {{2021}}, } @inproceedings{21204, author = {{Kucklick, Jan-Peter and Müller, Oliver}}, booktitle = {{ The AAAI-21 Workshop on Knowledge Discovery from Unstructured Data in Financial Services}}, title = {{{A Comparison of Multi-View Learning Strategies for Satellite Image-based Real Estate Appraisal}}}, year = {{2021}}, } @article{21207, abstract = {{Simple thermal treatment of guanine at temperatures ranging from 600 to 700 °C leads to C1N1 condensates with unprecedented CO2/N2 selectivity when compared to other carbonaceous solid sorbents. Increasing the surface area of the CN condensates in the presence of ZnCl2 salt melts enhances the amount of CO2 adsorbed while preserving the high selectivity values and C1N1 structure. Results indicate that these new materials show a sorption mechanism a step closer to that of natural CO2 caption proteins and based on metal free structural cryptopores.}}, author = {{Kossmann, Janina and Piankova, Diana and V. Tarakina, Nadezda and Heske, Julian Joachim and Kühne, Thomas and Schmidt, Johannes and Antonietti, Markus and López-Salas, Nieves}}, issn = {{0008-6223}}, journal = {{Carbon}}, keywords = {{CN, Cryptopores, Carbon dioxide capture}}, pages = {{497--505}}, title = {{{Guanine condensates as covalent materials and the concept of cryptopores}}}, doi = {{https://doi.org/10.1016/j.carbon.2020.10.047}}, volume = {{172}}, year = {{2021}}, } @article{21208, abstract = {{Heterogeneous platforms with FPGAs have started to be employed in the High-Performance Computing (HPC) field to improve performance and overall efficiency. These platforms allow the use of specialized hardware to accelerate software applications, but require the software to be adapted in what can be a prolonged and complex process. The main goal of this work is to describe and evaluate mechanisms that can transparently transfer the control flow between CPU and FPGA within the scope of HPC. Combining such a mechanism with transparent software profiling and accelerator configuration could lead to an automatic way of accelerating regular applications. In this work, a mechanism based on the ptrace system call is proposed, and its performance on the Intel Xeon+FPGA platform is evaluated. The feasibility of the proposed approach is demonstrated by a working prototype that performs the transparent control flow transfer of any function call to a matching hardware accelerator. This approach is more general than shared library interposition at the cost of a small time overhead in each accelerator use (about 1.3ms in the prototype implementation).}}, author = {{Granhão, Daniel and Canas Ferreira, João Canas}}, issn = {{2079-9292}}, journal = {{Electronics}}, keywords = {{pc2-harp-ressources}}, title = {{{Transparent Control Flow Transfer between CPU and Accelerators for HPC}}}, doi = {{10.3390/electronics10040406}}, year = {{2021}}, } @article{21242, author = {{Lüttenberg, Hedda and Beverungen, Daniel and Poniatowski, Martin and Kundisch, Dennis and Wünderlich, Nancy}}, journal = {{Wirtschaftsinformatik & Management}}, number = {{2}}, pages = {{120--131}}, title = {{{Drei Strategien zur Etablierung digitaler Plattformen in der Industrie}}}, volume = {{13}}, year = {{2021}}, } @inproceedings{21258, author = {{Franke, Mario and Klingler, Florian}}, booktitle = {{40th IEEE International Conference on Computer Communications (INFOCOM 2021), Poster Session}}, publisher = {{IEEE}}, title = {{{HiL meets Commodity Hardware -- SimbaR for coupling IEEE 802.11 Radio Channels}}}, year = {{2021}}, } @inproceedings{21259, author = {{Klingler, Florian and Schettler, Max and Dimce, Sigrid and Amjad, Muhammad Sohaib and Dressler, Falko}}, booktitle = {{40th IEEE International Conference on Computer Communications (INFOCOM 2021), Poster Session}}, publisher = {{IEEE}}, title = {{{mmWave on the Road -- Field Testing IEEE 802.11ad WLAN at 60 GHz}}}, year = {{2021}}, } @inproceedings{21263, author = {{zur Heiden, Philipp and Winter, Daniel}}, booktitle = {{Proceedings of the 16th International Conference on Wirtschaftsinformatik}}, title = {{{Discovering Geographical Patterns of Retailers' Locations for Successful Retail in City Centers}}}, year = {{2021}}, } @article{21264, abstract = {{Abstract Background Hand amputation can have a truly debilitating impact on the life of the affected person. A multifunctional myoelectric prosthesis controlled using pattern classification can be used to restore some of the lost motor abilities. However, learning to control an advanced prosthesis can be a challenging task, but virtual and augmented reality (AR) provide means to create an engaging and motivating training. Methods In this study, we present a novel training framework that integrates virtual elements within a real scene (AR) while allowing the view from the first-person perspective. The framework was evaluated in 13 able-bodied subjects and a limb-deficient person divided into intervention (IG) and control (CG) groups. The IG received training by performing simulated clothespin task and both groups conducted a pre- and posttest with a real prosthesis. When training with the AR, the subjects received visual feedback on the generated grasping force. The main outcome measure was the number of pins that were successfully transferred within 20 min (task duration), while the number of dropped and broken pins were also registered. The participants were asked to score the difficulty of the real task (posttest), fun-factor and motivation, as well as the utility of the feedback. Results The performance (median/interquartile range) consistently increased during the training sessions (4/3 to 22/4). While the results were similar for the two groups in the pretest, the performance improved in the posttest only in IG. In addition, the subjects in IG transferred significantly more pins (28/10.5 versus 14.5/11), and dropped (1/2.5 versus 3.5/2) and broke (5/3.8 versus 14.5/9) significantly fewer pins in the posttest compared to CG. The participants in IG assigned (mean ± std) significantly lower scores to the difficulty compared to CG (5.2 ± 1.9 versus 7.1 ± 0.9), and they highly rated the fun factor (8.7 ± 1.3) and usefulness of feedback (8.5 ± 1.7). Conclusion The results demonstrated that the proposed AR system allows for the transfer of skills from the simulated to the real task while providing a positive user experience. The present study demonstrates the effectiveness and flexibility of the proposed AR framework. Importantly, the developed system is open source and available for download and further development. }}, author = {{Boschmann, Alexander and Neuhaus, Dorothee and Vogt, Sarah and Kaltschmidt, Christian and Platzner, Marco and Dosen, Strahinja}}, issn = {{1743-0003}}, journal = {{Journal of NeuroEngineering and Rehabilitation}}, title = {{{Immersive augmented reality system for the training of pattern classification control with a myoelectric prosthesis}}}, doi = {{10.1186/s12984-021-00822-6}}, year = {{2021}}, } @inproceedings{21280, author = {{Masendorf, Lukas and Wächter, Michael and Esderts, Alfons and Otroshi, Mortaza and Meschut, Gerson}}, title = {{{Simulationsbasierte Lebensdauerabschätzung einer stanzgenieteten Fügeverbindung unter zyklischer Belastung}}}, year = {{2021}}, } @article{21284, author = {{Mirbabaie, Milad and Stieglitz, S. and Frick, N.}}, journal = {{Electronic Markets}}, title = {{{Hybrid Intelligence in Hospitals: Towards a Research Agenda for Collaboration and Team-Building}}}, year = {{2021}}, } @article{21285, author = {{Mirbabaie, Milad and Brünker, F. and Wischnewski, M. and Meinert, J.}}, journal = {{ACM Transactions on Social Computing}}, title = {{{The Development of Connective Action during Social Movements on Social Media}}}, year = {{2021}}, } @article{21295, author = {{Mirbabaie, Milad and Stieglitz, Stefan and Amojo, Ireti}}, journal = {{Journal of Database Management}}, title = {{{Affording Technology in Crisis Situations: The Occurrence of Rumor Sense-Making Processes}}}, year = {{2021}}, } @article{21296, author = {{Mirbabaie, Milad and Stieglitz, S. and Brünker, F. and Hofeditz, L. and Ross, B. and Frick, N.R.J.}}, journal = {{Business & Information Systems Engineering }}, title = {{{Understanding Collaboration with Virtual Assistants – The Role of Social Identity and Extended Self}}}, year = {{2021}}, } @article{21297, author = {{Mirbabaie, Milad and Ehnis, C. and Stieglitz, S. and Bunker, D. and Rose, T.}}, journal = {{Information Systems Frontiers}}, title = {{{Digital Nudging in Social Media Disaster Communication}}}, year = {{2021}}, }