TY - GEN
AU - Grieger, Nicole
ID - 23563
TI - Achterbahn der Gefühle – Eine semantische Analyse von Spendenkampagnen im zeitlichen Verlauf der Corona Pandemie
ER -
TY - CONF
AB - In this publication, further elements of the newly developed inductive localization in the near field are presented. The advantage of inductive localization is the usage of the magnetic fields, which have a very low influence of non-metallic materials in the environment and thus follows good applications in the area of medicine and biochemistry. This allows a precise localization of sensor platforms in inhomogeneous mixtures of materials, where classical methods have major problems with inhomogeneous dielectric conductivity or density. The calculation of the localization of the searched object differs from other methods such as ultrasound or electromagnetic waves due to the source-free propagation of the magnetic field. Therefore, new mathematical evaluation methods and systematic adaptations are necessary, which are presented in this paper in circuit analysis. For this purpose, the exact circuit influences of one coil and the influence of another coil are investigated and which resonance circuit should be selected for both coils for a inductive localization with optimized signal strength.
AU - Lange, Sven
AU - Hedayat, Christian
AU - Kuhn, Harald
AU - Hilleringmann, Ulrich
ID - 22532
KW - Electrotechnical Characteristics of Real Coils
KW - Inductive Localization
KW - Resonant Circuit
KW - Mutual Inductance
KW - Near-Field
SN - 9781665440929
T2 - 2021 Smart Systems Integration (SSI)
TI - Adaptation and Optimization of Planar Coils for a More Accurate and Far-Reaching Magnetic Field-Based Localization in the Near Field
ER -
TY - JOUR
AB - Laser beam melting (LBM) is an advanced manufacturing technology providing
special features and the possibility to produce complex and individual parts directly
from a CAD model. TiAl6V4 is the most common used titanium alloy particularly
in biomedical applications. TiAl6Nb7 shows promising improvements especially
regarding biocompatible properties due to the substitution of the hazardous
vanadium. This work focuses on the examination of laser beam melted TiAl6Nb7.
For microstructural investigation scanning electron microscopy including energydispersive
x-ray spectroscopy as well as electron backscatter diffraction are utilized.
The laser beam melted related acicular microstructure as well as the corresponding
mechanical properties, which are determined by hardness measurements
and tensile tests, are investigated. The laser beam melted alloy meets,
except of breaking elongation A, the mechanical demands like ultimate tensile
strength Rm, yield strength Rp0.2, Vickers hardness HV of international standard
ISO 5832-11. Next steps contain comparison between TiAl6Nb7 and TiAl6V4 in
different conditions. Further investigations aim at improving mechanical properties
of TiAl6Nb7 by heat treatments and assessment of their influence on the microstructure
as well as examination regarding the corrosive behavior in human bodylike
conditions.
AU - Hein, Maxwell
AU - Hoyer, Kay-Peter
AU - Schaper, Mirko
ID - 24086
JF - Materialwissenschaft und Werkstofftechnik
KW - Laser beam melting
KW - titanium alloy
KW - TiAl6Nb7
KW - biomedical engineering
KW - implants
SN - 0933-5137
TI - Additively processed TiAl6Nb7 alloy for biomedical applications
VL - 52
ER -
TY - JOUR
AU - Xin, Y
AU - Grundmeier, Guido
AU - Keller, Adrian
ID - 22642
IS - 2
JF - Advanced NanoBiomed Research
SN - 2699-9307
TI - Adsorption of SARS-CoV-2 Spike Protein S1 at Oxide Surfaces Studied by High-Speed Atomic Force Microscopy.
VL - 1
ER -
TY - JOUR
AU - Mirbabaie, Milad
AU - Stieglitz, Stefan
AU - Amojo, Ireti
ID - 21295
JF - Journal of Database Management
TI - Affording Technology in Crisis Situations: The Occurrence of Rumor Sense-Making Processes
ER -
TY - CONF
AU - Hanselle, Jonas Manuel
AU - Tornede, Alexander
AU - Wever, Marcel Dominik
AU - Hüllermeier, Eyke
ID - 21198
TI - Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data
ER -
TY - THES
AB - 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.
AU - Feldmann, Michael
ID - 21628
TI - Algorithms for Distributed Data Structures and Self-Stabilizing Overlay Networks
ER -
TY - JOUR
AB - In this article, we present an efficient descent method for locally Lipschitz
continuous multiobjective optimization problems (MOPs). The method is realized
by combining a theoretical result regarding the computation of descent
directions for nonsmooth MOPs with a practical method to approximate the
subdifferentials of the objective functions. We show convergence to points
which satisfy a necessary condition for Pareto optimality. Using a set of test
problems, we compare our method to the multiobjective proximal bundle method by
M\"akel\"a. The results indicate that our method is competitive while being
easier to implement. While the number of objective function evaluations is
larger, the overall number of subgradient evaluations is lower. Finally, we
show that our method can be combined with a subdivision algorithm to compute
entire Pareto sets of nonsmooth MOPs.
AU - Gebken, Bennet
AU - Peitz, Sebastian
ID - 16867
JF - Journal of Optimization Theory and Applications
TI - An efficient descent method for locally Lipschitz multiobjective optimization problems
VL - 188
ER -
TY - CONF
AU - Hansmeier, Tim
AU - Platzner, Marco
ID - 21813
T2 - GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference Companion
TI - An Experimental Comparison of Explore/Exploit Strategies for the Learning Classifier System XCS
ER -
TY - CONF
AU - Hartel, Rita
AU - Dunst, Alexander
ID - 21378
SN - 0302-9743
T2 - MANPU 2020: The 4th International Workshop on coMics ANalysis, Processing and Understanding@Pattern Recognition. ICPR International Workshops and Challenges
TI - An OCR Pipeline and Semantic Text Analysis for Comics
ER -