@misc{21564,
  author       = {{Itner, Dominik and Gravenkamp, Hauke and Dreiling, Dmitrij and Feldmann, Nadine and Henning, Bernd}},
  title        = {{{On the forward simulation and cost functions for the ultrasonic material characterization of polymers }}},
  year         = {{2021}},
}

@techreport{21569,
  abstract     = {{Die kontinuierliche Weiterentwicklung des eigenen Geschäftsmodells ist für eine Organisation von entscheidender Bedeutung, um wettbewerbsfähig und somit nachhaltig erfolgreich zu bleiben. Während für die Entwicklung neuer Geschäftsmodelle häufig Workshops und einfache Software-Tools zur Visualisierung genutzt werden, wurden in der Forschung bereits erste Ansätze von datengetriebener Geschäftsmodellentwicklung (GME) vorgestellt. Diese Ansätze nutzen dabei Daten, Informationen oder auch Wissen aus internen und externen Unternehmensquellen, um den GME-Prozess zu unterstützen. Innerhalb dieses Beitrags zeigen wir einige Ansätze aus der aktuellen Literatur und analysieren wie ihre Datennutzung den GME-Prozess unterstützt. Weiterhin stellen wir mit dem BMDL Feature Modeler ein Tool vor, welches den GME-Prozess mit Expertenwissen unterstützt.}},
  author       = {{Gottschalk, Sebastian and Yigitbas, Enes}},
  publisher    = {{Gesellschaft für Informatik}},
  title        = {{{Von datenbasierter zu datengetriebener Geschäftsmodellentwicklung: Ein Überblick über Software-Tools  und deren Datennutzung}}},
  volume       = {{1}},
  year         = {{2021}},
}

@inproceedings{21570,
  author       = {{Tornede, Tanja and Tornede, Alexander and Wever, Marcel Dominik and Hüllermeier, Eyke}},
  booktitle    = {{Proceedings of the Genetic and Evolutionary Computation Conference}},
  title        = {{{Coevolution of Remaining Useful Lifetime Estimation Pipelines for Automated Predictive Maintenance}}},
  year         = {{2021}},
}

@inproceedings{21573,
  author       = {{Heine, Jens and Wecker, Christian and Kenig, Eugeny and Bart, Hans-Jörg}},
  publisher    = {{Jahrestreffen der ProcessNet-Fachgruppe Extraktion}},
  title        = {{{Stofftransportmessung und -visualisierung am ruhenden und bewegten Einzeltropfen}}},
  year         = {{2021}},
}

@inproceedings{21574,
  author       = {{Wecker, Christian and Schulz, Andreas and Heine, Jens and Bart, Hans-Jörg and Kenig, Eugeny}},
  publisher    = {{Jahrestreffen der ProcessNet-Fachgruppe Extraktion}},
  title        = {{{Numerische Untersuchung der Marangonikonvektion in Flüssig-Flüssig-Systemen: Von der Tropfenbildung bis zur Tropfeninteraktion}}},
  year         = {{2021}},
}

@inproceedings{21575,
  author       = {{Wecker, Christian and Hoppe, Anna and Schulz, Andreas and Heine, Jens and Bart, Hans-Jörg and Kenig, Eugeny}},
  publisher    = {{Jahrestreffen der ProcessNet-Fachgruppe Wärme- und Stofftransport}},
  title        = {{{Numerische Untersuchungen zu Fluiddynamik und Stofftransport binärer Tropfeninteraktion unter Berücksichtigung von Marangonikonvektion}}},
  year         = {{2021}},
}

@inproceedings{21576,
  author       = {{Schulz, Andreas and Wecker, Christian and Kenig, Eugeny}},
  publisher    = {{Jahrestreffen der ProcessNet-Fachgruppe Mehrphasenströmung}},
  title        = {{{Mehrkomponenten-Stofftransport an bewegten Phasengrenzflächen unter Berücksichtigung von Diffusionskreuzeffekten}}},
  year         = {{2021}},
}

@article{21583,
  author       = {{Lanza, Lukas Johannes}},
  issn         = {{1617-7061}},
  journal      = {{PAMM}},
  title        = {{{Representation and stability of internal dynamics}}},
  doi          = {{10.1002/pamm.202000256}},
  year         = {{2021}},
}

@article{21595,
  author       = {{Stockmann, Lars and Laux, Sven and Bodden, Eric}},
  issn         = {{2589-2258}},
  journal      = {{Journal of Automotive Software Engineering}},
  title        = {{{Using Architectural Runtime Verification for Offline Data Analysis}}},
  doi          = {{10.2991/jase.d.210205.001}},
  year         = {{2021}},
}

@phdthesis{21596,
  author       = {{Fischer, Andreas}},
  publisher    = {{Universität Paderborn}},
  title        = {{{Computing on Encrypted Data using Trusted Execution Environments}}},
  year         = {{2021}},
}

@article{21597,
  author       = {{Holzinger, Philipp and Bodden, Eric}},
  journal      = {{International Symposium on Advanced Security on Software and Systems (ASSS)}},
  title        = {{{A Systematic Hardening of Java's Information Hiding}}},
  year         = {{2021}},
}

@article{21599,
  author       = {{Bonifacio, Rodrigo and Krüger, Stefan and Narasimhan, Krishna and Bodden, Eric and Mezini, Mira}},
  journal      = {{European Conference on Object-Oriented Programming (ECOOP)}},
  title        = {{{Dealing with Variability in API Misuse Specification}}},
  year         = {{2021}},
}

@misc{21601,
  abstract     = {{The invention describes a distributed merchandise management system, in which the client, retailer and the manufacturer are linked by a network. This is implemented by a cloud storage (105), the cloud storage (105) comprising a means (105 a) for storing data, a means for receiving first data from a first network node (110), the first data being associated with a physical object, a means for receiving request data from a second network node (120), a means for receiving second data from a third network node (130), the second data being associated with the first data and comprising at least one data piece adapted to change the first data depending on the received request data, a means for changing the first data based at least in part on the second data and the request data, and a means for sending a changed portion of the first data from the cloud storage (105) to the first network node (110).}},
  author       = {{Göllner, Thomas and Schwarz, Jan-Hendrik and Gottschalk, Sebastian and Sauer, Stefan}},
  title        = {{{Distributed merchandise management system}}},
  year         = {{2021}},
}

@inproceedings{21610,
  author       = {{Awais, Muhammad and Ghasemzadeh Mohammadi, Hassan and Platzner, Marco}},
  booktitle    = {{Proceedings of the ACM Great Lakes Symposium on VLSI (GLSVLSI) 2021}},
  location     = {{Virtual}},
  pages        = {{27--32}},
  publisher    = {{ACM}},
  title        = {{{LDAX: A Learning-based Fast Design Space Exploration Framework for Approximate Circuit Synthesis}}},
  doi          = {{https://doi.org/10.1145/3453688.3461506}},
  year         = {{2021}},
}

@misc{21627,
  author       = {{Liedtke, David}},
  title        = {{{Exploration and Convex Hull Construction in the Three-Dimensional Hybrid Model}}},
  year         = {{2021}},
}

@phdthesis{21628,
  abstract     = {{This thesis considers the realization of distributed data structures and the construction of distributed protocols for self-stabilizing overlay networks.

In the first part of this thesis, we provide distributed protocols for queues, stacks and priority queues that serve the insertion and deletion of elements within a logarithmic amount of rounds.
Our protocols respect semantic constraints such as sequential consistency or serializability and the individual semantic constraints given by the type (queue, stack, priority queue) of the data structure.
We furthermore provide a protocol that handles joining and leaving nodes.
As an important side product, we present a novel protocol solving the distributed $k$-selection problem in a logarithmic amount of rounds, that is, to find the $k$-smallest elements among a polynomial number of elements spread among $n$ nodes.
	
The second part of this thesis is devoted to the construction of protocols for self-stabilizing overlay networks, i.e., distributed protocols that transform an overlay network from any initial (potentially illegitimate) state into a legitimate state in finite time.
We present protocols for self-stabilizing generalized De Bruijn graphs, self-stabilizing quadtrees and self-stabilizing supervised skip rings.
Each of those protocols comes with unique properties that makes it interesting for certain distributed applications.
Generalized De Bruijn networks provide routing within a constant amount of hops, thus serving the interest in networks that require a low latency for requests.
The protocol for the quadtree guarantees monotonic searchability as well as a geometric variant of monotonic searchability, making it interesting for wireless networks or applications needed in the area of computational geometry.
The supervised skip ring can be used to construct a self-stabilizing publish-subscribe system.
}},
  author       = {{Feldmann, Michael}},
  title        = {{{Algorithms for Distributed Data Structures and Self-Stabilizing Overlay Networks}}},
  doi          = {{10.17619/UNIPB/1-1113}},
  year         = {{2021}},
}

@article{21631,
  abstract     = {{<jats:p>Secret sharing is a well-established cryptographic primitive for storing highly sensitive information like encryption keys for encoded data. It describes the problem of splitting a secret into different shares, without revealing any information to its shareholders. Here, we demonstrate an all-optical solution for secret sharing based on metasurface holography. In our concept, metasurface holograms are used as spatially separable shares that carry encrypted messages in the form of holographic images. Two of these shares can be recombined by bringing them close together. Light passing through this stack of metasurfaces accumulates the phase shift of both holograms and optically reconstructs the secret with high fidelity. In addition, the hologram generated by each single metasurface can uniquely identify its shareholder. Furthermore, we demonstrate that the inherent translational alignment sensitivity between two stacked metasurface holograms can be used for spatial multiplexing, which can be further extended to realize optical rulers.</jats:p>}},
  author       = {{Georgi, Philip and Wei, Qunshuo and Sain, Basudeb and Schlickriede, Christian and Wang, Yongtian and Huang, Lingling and Zentgraf, Thomas}},
  issn         = {{2375-2548}},
  journal      = {{Science Advances}},
  number       = {{16}},
  title        = {{{Optical secret sharing with cascaded metasurface holography}}},
  doi          = {{10.1126/sciadv.abf9718}},
  volume       = {{7}},
  year         = {{2021}},
}

@article{21633,
  abstract     = {{<jats:p>Higher quality requirements by customers demand higher precision and accuracy from manufacturing processes. Application oriented preparation of semi-finished materials is key for subsequent forming operations, therefore, straightening machines are employed. Straightening strengthens the material by increasing plastic deformation by means of strain hardening, resulting in undesirable reduction in formability when processing high strength materials, in particular. Conventional roll-type straightening machines process either bars or strips. This is achieved upon passing material between rolls arranged in two staggered rows. However, conventional straightening processes do not adapt to the local varying distortion of coiled strips. Innovative, self-correcting process control techniques, which adapt to the initial geometric characteristics of the strip, present a promising approach to fix this issue through optimization of the leveling process. Here, an innovative strategy to improve straightening of high strength steel materials (1.4310) is presented. This implements optimized leveling, adding minimal plastic deformation and, thus, strain hardening. To operate an intelligent straightening machine, a reliable online measurement of the surface defects is fundamentally essential. The MagnaTest, which is developed for material testing, is made feasible for such purposes after calibrating for curvature measurement. Preliminary results are promising in regards to measuring the curvature online, so that the following straightening process can be close loop controlled. The bending measurement is linked to open/closed loop control, therefore providing an optimal straightening result in regards to formability, leveling, and reduced strain hardening.</jats:p>}},
  author       = {{Bader, Fabian and Bathelt, Lukas and Djakow, Eugen and Homberg, Werner and Henke, Christian and Trächtler, Ansgar}},
  journal      = {{ESAFORM 2021}},
  title        = {{{Innovative Measurement Of Stress Superposed Steel Strip For Straightening Machines}}},
  doi          = {{10.25518/esaform21.2382}},
  year         = {{2021}},
}

@article{21636,
  author       = {{Lienen, Julian and Hüllermeier, Eyke}},
  journal      = {{International Journal of Approximate Reasoning}},
  publisher    = {{Elsevier}},
  title        = {{{Instance weighting through data imprecisiation}}},
  year         = {{2021}},
}

@inproceedings{21637,
  author       = {{Lienen, Julian and Hüllermeier, Eyke}},
  booktitle    = {{Proceedings of the 35th AAAI Conference on Artificial Intelligence, AAAI}},
  location     = {{Online}},
  number       = {{10}},
  pages        = {{8583--8591}},
  publisher    = {{AAAI Press}},
  title        = {{{From Label Smoothing to Label Relaxation}}},
  volume       = {{35}},
  year         = {{2021}},
}