@inproceedings{14893, author = {{Ghribi, Ines and Abdallah, Riadh Ben and Khalgui, Mohamed and Platzner, Marco}}, booktitle = {{Communications in Computer and Information Science}}, isbn = {{9783319625683}}, issn = {{1865-0929}}, publisher = {{Springer }}, title = {{{I-Codesign: A Codesign Methodology for Reconfigurable Embedded Systems}}}, doi = {{10.1007/978-3-319-62569-0_8}}, year = {{2017}}, } @inproceedings{15083, author = {{Dunst, Alexander and Hartel, Rita}}, booktitle = {{Digital Humanities 2017, DH 2017, Conference Abstracts}}, title = {{{Corpora and Complex Networks as Cultural Critique: Investigating Race and Gender Bias in Graphic Narratives}}}, year = {{2017}}, } @inproceedings{15084, author = {{Dunst, Alexander and Hartel, Rita and Laubrock, Jochen}}, booktitle = {{ 2nd International Workshop on coMics Analysis, Processing, and Understanding, 14th IAPR International Conference on Document Analysis and Recognition, ICDAR}}, isbn = {{9781538635865}}, pages = {{15--20}}, publisher = {{IEEE}}, title = {{{The Graphic Narrative Corpus (GNC): Design, Annotation, and Analysis for the Digital Humanities}}}, doi = {{10.1109/icdar.2017.286}}, volume = {{3}}, year = {{2017}}, } @inproceedings{15110, author = {{Couso, Ines and Dubois, D. and Hüllermeier, Eyke}}, booktitle = {{in Proceedings SUM 2017, 11th International Conference on Scalable Uncertainty Management, Granada, Spain}}, pages = {{3--16}}, publisher = {{Springer}}, title = {{{Maximum likelihood estimation and coarse data}}}, year = {{2017}}, } @inproceedings{15161, author = {{Böttcher, Stefan and Hartel, Rita and Manuel, Jonas}}, booktitle = {{DBKDA 2017}}, title = {{{A column-oriented text database API implemented on top of wavelet tries}}}, year = {{2017}}, } @inproceedings{1618, author = {{Zhao, Mengxuan and Le Gall, Franck and Cousin, Philippe and Vilalta, Ricard and Munoz, Raul and Castro, Sonia and Peuster, Manuel and Schneider, Stefan Balthasar and Siapera, Maria and Kapassa, Evgenia and Kyriazis, Dimosthenis and Hasselmeyer, Peer and Xilouris, George and Tranoris, Christos and Denazis, Spyros and Martrat, Josep}}, booktitle = {{2017 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN)}}, isbn = {{9781538632857}}, publisher = {{IEEE}}, title = {{{Verification and validation framework for 5G network services and apps}}}, doi = {{10.1109/nfv-sdn.2017.8169878}}, year = {{2017}}, } @inproceedings{1620, author = {{Aktas, Ismet and Ansari, Junaid and Auroux, Sebastien and Parruca, Donald and Perez Guirao, Maria Dolores and Holfeld, Bernd}}, publisher = {{Proceedings of 23th European Wireless Conference}}, title = {{{A Coordination Architecture for Wireless Industrial Automation}}}, year = {{2017}}, } @inproceedings{16338, abstract = {{To detect errors or find potential for improvement during the CAD-supported development of a complex technical system like modern industrial machines, the system’s virtual prototype can be examined in virtual reality (VR) in the context of virtual design reviews. Besides exploring the static shape of the examined system, observing the machines’ mechanics (e.g., motor-driven mechanisms) and transport routes for the material transport (e.g., via conveyor belts or chains, or rail-based transport systems) can play an equally important role in such a review. In practice it is often the case, that the relevant information about transport routes, or kinematic properties is either not consequently modeled in the CAD data or is lost during conversion processes. To significantly reduce the manual effort and costs for creating animations of the machines complex behavior with such limited input data for a design review, we present a set of algorithms to automatically determine geometrical properties of machine parts based only on their triangulated surfaces. The algorithms allow to detect the course of transport systems, the orientation of objects in 3d space, rotation axes of cylindrical objects and holes, the number of tooth of gears, as well as the tooth spacing of toothed racks. We implemented the algorithms in the VR system PADrend and applied them to animate virtual prototypes of real machines.}}, author = {{Brandt, Sascha and Fischer, Matthias and Gerges, Maria and Jähn, Claudius and Berssenbrügge, Jan}}, booktitle = {{Volume 1: 37th Computers and Information in Engineering Conference}}, isbn = {{9780791858110}}, location = {{Cleveland, USA}}, pages = {{91:1--91:10}}, title = {{{Automatic Derivation of Geometric Properties of Components From 3D Polygon Models}}}, doi = {{10.1115/detc2017-67528}}, volume = {{1}}, year = {{2017}}, } @inproceedings{16339, abstract = {{In der CAD-unterstützten Entwicklung von technischen Systemen (Maschinen, Anlagen etc.) werden virtuelle Prototypen im Rahmen eines virtuellen Design-Reviews mit Hilfe eines VR-Systems gesamtheitlich betrachtet, um frühzeitig Fehler und Verbesserungsbedarf zu erkennen. Ein wichtiger Untersuchungsgegenstand ist dabei die Analyse von Transportwegen für den Materialtransport mittels Fließbändern, Förderketten oder schienenbasierten Transportsystemen. Diese Transportwege werden im VR-System animiert. Problematisch dabei ist, dass derartige Transportsysteme im zugrundeliegenden CAD-Modell in der Praxis oft nicht modelliert und nur exemplarisch angedeutet werden, da diese für die Konstruktion nicht relevant sind (z.B. der Fördergurt eines Förderbandes, oder die Kette einer Förderkette), oder die Informationen über den Verlauf bei der Konvertierung der Daten in das VR-System verloren gehen. Bei der Animation dieser Transportsysteme in einem VR-System muss der Transportweg also aufwändig, manuell nachgearbeitet werden. Das Ziel dieser Arbeit ist die Reduzierung des notwendigen manuellen Nachbearbeitungsaufwandes für das Design-Review durch eine automatische Berechnung der Animationspfade entlang eines Transportsystems. Es wird ein Algorithmus vorgestellt, der es ermöglicht mit nur geringem zeitlichem Benutzeraufwand den Animationspfad aus den reinen polygonalen dreidimensionalen Daten eines Transportsystems automatisch zu rekonstruieren.}}, author = {{Brandt, Sascha and Fischer, Matthias}}, booktitle = {{Wissenschaftsforum Intelligente Technische Systeme (WInTeSys) 2017}}, location = {{Paderborn}}, pages = {{415--427}}, publisher = {{Verlagsschriftenreihe des Heinz Nixdorf Instituts, Paderborn}}, title = {{{Automatische Ableitung der Transportwege von Transportsystemen aus dem 3D-Polygonmodell}}}, volume = {{369}}, year = {{2017}}, } @inproceedings{16347, author = {{Fischer, Matthias and Jung, Daniel and Meyer auf der Heide, Friedhelm}}, booktitle = {{Algorithms for Sensor Systems - 13th International Symposium on Algorithms and Experiments for Wireless Sensor Networks, {ALGOSENSORS}}}, editor = {{Fernández Anta, Antonio and Jurdzinski, Tomasz and Mosteiro, Miguel A. and Zhang, Yanyong}}, pages = {{168--181}}, publisher = {{Springer}}, title = {{{Gathering Anonymous, Oblivious Robots on a Grid}}}, doi = {{10.1007/978-3-319-72751-6_13}}, volume = {{10718}}, year = {{2017}}, } @inproceedings{16348, author = {{Biermeier, Felix and Feldkord, Björn and Malatyali, Manuel and Meyer auf der Heide, Friedhelm}}, booktitle = {{Proceedings of the 15th Workshop on Approximation and Online Algorithms (WAOA)}}, pages = {{285 -- 300}}, publisher = {{Springer}}, title = {{{A Communication-Efficient Distributed Data Structure for Top-k and k-Select Queries}}}, doi = {{10.1007/978-3-319-89441-6_21}}, year = {{2017}}, } @inproceedings{16349, author = {{Podlipyan, Pavel and Li, Shouwei and Markarian, Christine and Meyer auf der Heide, Friedhelm}}, booktitle = {{Proceedings of the 13th International Symposium on Algorithms and Experiments for Wireless Networks (ALGOSENSORS)}}, pages = {{182--197}}, title = {{{A Continuous Strategy for Collisionless Gathering}}}, doi = {{10.1007/978-3-319-72751-6_14 }}, year = {{2017}}, } @inproceedings{13861, author = {{Olfert, Sergei and Becker, Sebastian and Henning, Bernd}}, booktitle = {{Deutsche Gesellschaft für Akustik e.V. 2017- Fortschritte der Akustik - DAGA 2017}}, isbn = {{9783939296126}}, pages = {{1015--1018}}, publisher = {{Deutsche Gesellschaft für Akustik e.V. (DEGA)}}, title = {{{Erweiterung des Mason-Modells zur Beschreibung eines Partikelbelags auf einer Quarzscheibe}}}, year = {{2017}}, } @phdthesis{102, author = {{Becker, Matthias}}, publisher = {{Universität Paderborn}}, title = {{{Engineering Self-Adaptive Systems with Simulation-Based Performence Prediction}}}, doi = {{10.17619/UNIPB/1-133}}, year = {{2017}}, } @inproceedings{10204, author = {{Ewerth, Ralph and Springstein, M. and Müller, E. and Balz, A. and Gehlhaar, J. and Naziyok, T. and Dembczynski, K. and Hüllermeier, Eyke}}, booktitle = {{Proc. IEEE Int. Conf. on Multimedia and Expo (ICME 2017)}}, pages = {{919--924}}, title = {{{Estimating relative depth in single images via rankboost}}}, year = {{2017}}, } @inproceedings{10205, author = {{Ahmadi Fahandar, Mohsen and Hüllermeier, Eyke and Couso, Ines}}, booktitle = {{Proc. 34th Int. Conf. on Machine Learning (ICML 2017)}}, pages = {{1078--1087}}, title = {{{Statistical Inference for Incomplete Ranking Data: The Case of Rank-Dependent Coarsening}}}, year = {{2017}}, } @inproceedings{10206, author = {{Mohr, Felix and Lettmann, Theodor and Hüllermeier, Eyke}}, booktitle = {{Proc. 40th Annual German Conference on Advances in Artificial Intelligence (KI 2017)}}, pages = {{193--206}}, title = {{{Planning with Independent Task Networks}}}, doi = {{10.1007/978-3-319-67190-1_15}}, year = {{2017}}, } @inproceedings{10207, author = {{Czech, M. and Hüllermeier, Eyke and Jakobs, M.-C. and Wehrheim, Heike}}, booktitle = {{Proc. 3rd ACM SIGSOFT Int. I Workshop on Software Analytics (SWAN@ESEC/SIGSOFT FSE 2017}}, pages = {{23--26}}, title = {{{Predicting rankings of software verification tools}}}, year = {{2017}}, } @inproceedings{10208, author = {{Couso, Ines and Dubois, D. and Hüllermeier, Eyke}}, booktitle = {{Proc. 11th Int. Conf. on Scalable Uncertainty Management (SUM 2017)}}, pages = {{3--16}}, title = {{{Maximum Likelihood Estimation and Coarse Data}}}, year = {{2017}}, } @inproceedings{10209, author = {{Ahmadi Fahandar, Mohsen and Hüllermeier, Eyke}}, booktitle = {{Proc. AAAI 2017, 32nd AAAI Conference on Artificial Intelligence}}, title = {{{Learning to Rank based on Analogical Reasoning}}}, year = {{2017}}, }