TY - CONF
AU - Koch, Thorsten
AU - Dziwok, Stefan
AU - Holtmann, Jörg
AU - Bodden, Eric
ID - 20518
T2 - ACM/IEEE 23rd International Conference on Model Driven Engineering Languages and Systems (MODELS ’20)
TI - Scenario-based Specification of Security Protocols and Transformation to Security Model Checkers
ER -
TY - CONF
AU - Müller, Michelle
AU - Neumann, Jürgen
AU - Gutt, Dominik
AU - Kundisch, Dennis
ID - 19782
T2 - Proceedings of the 41th International Conference on Information Systems (ICIS)
TI - Toss a Coin to your Host - How Guests End up Paying for the Cost of Regulatory Policies
ER -
TY - CHAP
AB - Using near-field (NF) scan data to predict the far-field (FF) behaviour of radiating electronic systems represents a novel method to accompany the whole RF design process. This approach involves so-called Huygens' box as an efficient radiation model inside an electromagnetic (EM) simulation tool and then transforms the scanned NF measured data into the FF. For this, the basic idea of the Huygens'box principle and the NF-to-FF transformation are briefly presented. The NF is measured on the Huygens' box around a device under test using anNF scanner, recording the magnitude and phase of the site-related magnetic and electric components. A comparison between a fullwave simulation and the measurement results shows a good similarity in both the NF and the simulated and transformed FF.Thus, this method is applicable to predict the FF behaviour of any electronic system by measuring the NF. With this knowledge, the RF design can be improved due to allowing a significant reduction of EM compatibility failure at the end of the development flow. In addition, the very efficient FF radiation model can be used for detailed investigations in various environments and the impact of such an equivalent radiation source on other electronic systems can be assessed.
AU - Schröder, Dominik
AU - Lange, Sven
AU - Hangmann, Christian
AU - Hedayat, Christian
ID - 21542
KW - Huygens' box
KW - NF-to-FF transformation
KW - efficient FF radiation model
KW - FF behaviour
KW - EMI assessment
KW - PCB
KW - near-field measurements
KW - efficient radiation model
KW - far-field behaviour
KW - RF design process
KW - far-field prediction
KW - Huygens'box principle
KW - fullwave simulation
KW - electronic system radiation
KW - equivalent radiation source
KW - electromagnetic simulation tool
KW - near-field scan data
KW - EM compatibility failure reduction
SN - 9781839530494
T2 - Tensorial Analysis of Networks (TAN) Modelling for PCB Signal Integrity and EMC Analysis
TI - Far-field prediction combining simulations with near-field measurements for EMI assessment of PCBs
ER -
TY - GEN
ED - Troschitz, Juliane
ED - Vorderbrüggen, Julian
ED - Kupfer, Robert
ED - Gude, Maik
ED - Meschut, Gerson
ID - 20119
T2 - Applied Sciences
TI - Joining of Thermoplastic Composites with Metals Using Resistance Element Welding
ER -
TY - BOOK
AU - Schneider, Martin
AU - Sadowski, Dieter
AU - Frick, Bernd
AU - Warning, Susanne
ID - 21566
TI - Personalökonomie und Personalpolitik: Grundlagen einer evidenzbasierten Praxis
ER -
TY - JOUR
AB - Many basic properties in Tutte's flow theory for unsigned graphs do not have
their counterparts for signed graphs. However, signed graphs without long
barbells in many ways behave like unsigned graphs from the point view of flows.
In this paper, we study whether some basic properties in Tutte's flow theory
remain valid for this family of signed graphs. Specifically let $(G,\sigma)$ be
a flow-admissible signed graph without long barbells. We show that it admits a
nowhere-zero $6$-flow and that it admits a nowhere-zero modulo $k$-flow if and
only if it admits a nowhere-zero integer $k$-flow for each integer $k\geq 3$
and $k \not = 4$. We also show that each nowhere-zero positive integer $k$-flow
of $(G,\sigma)$ can be expressed as the sum of some $2$-flows. For general
graphs, we show that every nowhere-zero $\frac{p}{q}$-flow can be normalized in
such a way, that each flow value is a multiple of $\frac{1}{2q}$. As a
consequence we prove the equality of the integer flow number and the ceiling of
the circular flow number for flow-admissible signed graphs without long
barbells.
AU - Lu, You
AU - Luo, Rong
AU - Schubert, Michael
AU - Steffen, Eckhard
AU - Zhang, Cun-Quan
ID - 13114
JF - SIAM J. Discrete Math
TI - Flows on signed graphs without long barbells
VL - 34 (4)
ER -
TY - JOUR
AB - We derive a data-driven method for the approximation of the Koopman generator called gEDMD, which can be regarded as a straightforward extension of EDMD (extended dynamic mode decomposition). This approach is applicable to deterministic and stochastic dynamical systems. It can be used for computing eigenvalues, eigenfunctions, and modes of the generator and for system identification. In addition to learning the governing equations of deterministic systems, which then reduces to SINDy (sparse identification of nonlinear dynamics), it is possible to identify the drift and diffusion terms of stochastic differential equations from data. Moreover, we apply gEDMD to derive coarse-grained models of high-dimensional systems, and also to determine efficient model predictive control strategies. We highlight relationships with other methods and demonstrate the efficacy of the proposed methods using several guiding examples and prototypical molecular dynamics problems.
AU - Klus, Stefan
AU - Nüske, Feliks
AU - Peitz, Sebastian
AU - Niemann, Jan-Hendrik
AU - Clementi, Cecilia
AU - Schütte, Christof
ID - 16288
JF - Physica D: Nonlinear Phenomena
SN - 0167-2789
TI - Data-driven approximation of the Koopman generator: Model reduction, system identification, and control
VL - 406
ER -
TY - CHAP
AU - Matz, Frauke
AU - Rumlich, Dominik
ED - Grünewald, Andreas
ED - Hethey, Meike
ED - Struve, Karen
ID - 21915
T2 - KONTROVERS. Literaturdidaktik meets Literaturwissenschaft
TI - Englischsprachige Jugendbücher innerhalb und außerhalb des Englischunterrichts – Young Adult Fiction als empirischer Gegenstand der Literaturdidaktik
ER -
TY - JOUR
AB - Many dimensionality and model reduction techniques rely on estimating dominant eigenfunctions of associated dynamical operators from data. Important examples include the Koopman operator and its generator, but also the Schrödinger operator. We propose a kernel-based method for the approximation of differential operators in reproducing kernel Hilbert spaces and show how eigenfunctions can be estimated by solving auxiliary matrix eigenvalue problems. The resulting algorithms are applied to molecular dynamics and quantum chemistry examples. Furthermore, we exploit that, under certain conditions, the Schrödinger operator can be transformed into a Kolmogorov backward operator corresponding to a drift-diffusion process and vice versa. This allows us to apply methods developed for the analysis of high-dimensional stochastic differential equations to quantum mechanical systems.
AU - Klus, Stefan
AU - Nüske, Feliks
AU - Hamzi, Boumediene
ID - 21819
JF - Entropy
SN - 1099-4300
TI - Kernel-Based Approximation of the Koopman Generator and Schrödinger Operator
ER -
TY - JOUR
AU - Bürger, Julius
AU - Riedl, Thomas
AU - Lindner, Jörg K.N.
ID - 20892
JF - Ultramicroscopy
SN - 0304-3991
TI - Influence of lens aberrations, specimen thickness and tilt on differential phase contrast STEM images
ER -