@misc{OetjenRiegerRabletal., author = {Oetjen, Arne and Rieger, Anna and Rabl, Hans-Peter and van de Par, Steven}, title = {The role of dissonance in the sound quality perception for electric vehicles}, series = {The Journal of the Acoustical Society of America}, volume = {148}, journal = {The Journal of the Acoustical Society of America}, number = {4}, publisher = {Acoustical Society of America}, doi = {10.1121/1.5147356}, abstract = {Tonal components can be regarded as one of the most relevant components for interior sound quality of electric vehicles, especially at low speeds. Sources for these tones are for example the vehicles' drivetrains but also other technical components. Depending on the driving conditions, due to the interaction of various dominant sources, audible tone complexes can occur. Similar to musical intervals, the different frequency ratios within these complexes can result in consonant or dissonant sensations. The strength of this sensation does not only depend on the frequency relation of the tones but also on their relative levels. In this study, different musical intervals were subjectively rated in terms of their specific consonant or dissonant character. Using an adaptive procedure, sound pairs, each consisting of a two-tone signal, where adjusted to equal dissonance by varying the level of the second tone of one of the two-tone signals. Using the same paradigm, also pairs of equal vehicle sound quality were obtained. With these results, it is possible to quantify dissonance, and theinfluence of dissonance on sound quality expressed in terms of level differences of two-tone signals. These results can help to make the concept of dissonance more useful for sound-engineering applications.}, language = {en} } @misc{Mauerer, author = {Mauerer, Wolfgang}, title = {Open Source in Research and Reality}, series = {Open Source Summit North America and Embedded Linux Conference North America 2020}, journal = {Open Source Summit North America and Embedded Linux Conference North America 2020}, language = {en} } @misc{Mauerer, author = {Mauerer, Wolfgang}, title = {Safety, Security, Quality: Artificial Intelligence versus Common Sense}, series = {Open Source Summit North America and Embedded Linux Conference North America 2020}, journal = {Open Source Summit North America and Embedded Linux Conference North America 2020}, language = {en} } @misc{Herrmann, author = {Herrmann, Frank}, title = {The Use of Simulation for Manufacturing Applications}, series = {Proceedings of the 12th International Conference on Advances in System Simulation, SIMUL 2020, 18.-22.10.2020 in Porto, Portugal}, journal = {Proceedings of the 12th International Conference on Advances in System Simulation, SIMUL 2020, 18.-22.10.2020 in Porto, Portugal}, publisher = {IARIA XPS Press}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:898-opus4-24899}, abstract = {This paper summarizes six presentations in a session of the track "Use of Simulation for Manufacturing Applications". The research work deals with the following key issues of this track: Modelling of process problems in manufacturing; Solutions of planning problems in manufacturing; Simulation of processes in manufacturing. This publication shows that the contributions in this track address research questions that are of high importance for industrial practice as well as current research directions such as stochastic optimization or the efficient search of large solution spaces.}, language = {en} } @misc{Herrmann, author = {Herrmann, Frank}, title = {Scheduling of a real world filter production with lot-size 1}, series = {SIMUL 2020: The Twelfth International Conference on Advances in System Simulation, 18.-22.10.2020 in Porto, Portugal}, journal = {SIMUL 2020: The Twelfth International Conference on Advances in System Simulation, 18.-22.10.2020 in Porto, Portugal}, editor = {Herrmann, Frank and Parra, Lorena and Popescu, Manuela}, publisher = {IARIA XPS Press}, address = {Wilmington, DE, USA}, isbn = {978-1-61208-831-0}, pages = {1 -- 6}, abstract = {In industrial practice, a travelling crane on the ceiling of a factory hall transports products in process from one station to the next one in a production line. Due to space restrictions, there is no buffer between the stations. The production line at Fiedler Andritz, Regensburg in Germany, can be seen as an example of such a problem class. Such restrictions reduce the set of feasible schedules even more than the no-buffer restrictions discussed in the literature in the case of limited storage. Since this scheduling problem is integrated in the usual hierarchical planning, the tardiness is minimised. Due to the high number of jobs as well as the goal of a simple algorithm, scheduling is always done by priority rules at the company site. The standard approach of using the net processing time causes poor results. A simulation of the processing time is suggested. In addition, several very relevant priority rules from the literature are modified by this simulated processing and significantly better results are obtained. Keywords-Simulation of processing time; scheduling, flowshop; no-buffer (blocking); no-wait; priority rules; real world application; filter production}, language = {en} } @misc{EbigboMendelTziatziosetal., author = {Ebigbo, Alanna and Mendel, Robert and Tziatzios, Georgios and Probst, Andreas and Palm, Christoph and Messmann, Helmut}, title = {Real-Time Diagnosis of an Early Barrett's Carcinoma using Artificial Intelligence (AI) - Video Case Demonstration}, series = {Endoscopy}, volume = {52}, journal = {Endoscopy}, number = {S 01}, publisher = {Thieme}, doi = {10.1055/s-0040-1704075}, pages = {S23}, abstract = {Introduction We present a clinical case showing the real-time detection, characterization and delineation of an early Barrett's cancer using AI. Patients and methods A 70-year old patient with a long-segment Barrett's esophagus (C5M7) was assessed with an AI algorithm. Results The AI system detected a 10 mm focal lesion and AI characterization predicted cancer with a probability of >90\%. After ESD resection, histopathology showed mucosal adenocarcinoma (T1a (m), R0) confirming AI diagnosis. Conclusion We demonstrate the real-time AI detection, characterization and delineation of a small and early mucosal Barrett's cancer.}, subject = {Speiser{\"o}hrenkrebs}, language = {en} } @misc{Baumann, author = {Baumann, Timo}, title = {Ubiquity of Computing and SLIVAR}, series = {Spoken Language Interaction with Virtual Agents and Robots (SLIVAR): Towards Effective and Ethical Interaction}, volume = {10}, journal = {Spoken Language Interaction with Virtual Agents and Robots (SLIVAR): Towards Effective and Ethical Interaction}, editor = {Devillers, Laurence and Kawahara, Tatsuya and Moore, Roger K. and Scheutz, Matthias}, publisher = {Schloss Dagstuhl - Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, doi = {10.4230/DagRep.10.1.1}, url = {http://nbn-resolving.de/urn:nbn:de:0030-drops-124009}, pages = {16}, language = {en} }