---
_id: '46316'
abstract:
- lang: eng
text: ' Computational social science uses computational and statistical methods
in order to evaluate social interaction. The public availability of data sets
is thus a necessary precondition for reliable and replicable research. These data
allow researchers to benchmark the computational methods they develop, test the
generalizability of their findings, and build confidence in their results. When
social media data are concerned, data sharing is often restricted for legal or
privacy reasons, which makes the comparison of methods and the replicability of
research results infeasible. Social media analytics research, consequently, faces
an integrity crisis. How is it possible to create trust in computational or statistical
analyses, when they cannot be validated by third parties? In this work, we explore
this well-known, yet little discussed, problem for social media analytics. We
investigate how this problem can be solved by looking at related computational
research areas. Moreover, we propose and implement a prototype to address the
problem in the form of a new evaluation framework that enables the comparison
of algorithms without the need to exchange data directly, while maintaining flexibility
for the algorithm design. '
author:
- first_name: Dennis
full_name: Assenmacher, Dennis
last_name: Assenmacher
- first_name: Derek
full_name: Weber, Derek
last_name: Weber
- first_name: Mike
full_name: Preuss, Mike
last_name: Preuss
- first_name: André Calero
full_name: Valdez, André Calero
last_name: Valdez
- first_name: Alison
full_name: Bradshaw, Alison
last_name: Bradshaw
- first_name: Björn
full_name: Ross, Björn
last_name: Ross
- first_name: Stefano
full_name: Cresci, Stefano
last_name: Cresci
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
- first_name: Frank
full_name: Neumann, Frank
last_name: Neumann
- first_name: Christian
full_name: Grimme, Christian
last_name: Grimme
citation:
ama: 'Assenmacher D, Weber D, Preuss M, et al. Benchmarking Crisis in Social Media
Analytics: A Solution for the Data-Sharing Problem. Social Science Computer
Review. 2022;40(6):1496-1522. doi:10.1177/08944393211012268'
apa: 'Assenmacher, D., Weber, D., Preuss, M., Valdez, A. C., Bradshaw, A., Ross,
B., Cresci, S., Trautmann, H., Neumann, F., & Grimme, C. (2022). Benchmarking
Crisis in Social Media Analytics: A Solution for the Data-Sharing Problem. Social
Science Computer Review, 40(6), 1496–1522. https://doi.org/10.1177/08944393211012268'
bibtex: '@article{Assenmacher_Weber_Preuss_Valdez_Bradshaw_Ross_Cresci_Trautmann_Neumann_Grimme_2022,
title={Benchmarking Crisis in Social Media Analytics: A Solution for the Data-Sharing
Problem}, volume={40}, DOI={10.1177/08944393211012268},
number={6}, journal={Social Science Computer Review}, author={Assenmacher, Dennis
and Weber, Derek and Preuss, Mike and Valdez, André Calero and Bradshaw, Alison
and Ross, Björn and Cresci, Stefano and Trautmann, Heike and Neumann, Frank and
Grimme, Christian}, year={2022}, pages={1496–1522} }'
chicago: 'Assenmacher, Dennis, Derek Weber, Mike Preuss, André Calero Valdez, Alison
Bradshaw, Björn Ross, Stefano Cresci, Heike Trautmann, Frank Neumann, and Christian
Grimme. “Benchmarking Crisis in Social Media Analytics: A Solution for the Data-Sharing
Problem.” Social Science Computer Review 40, no. 6 (2022): 1496–1522. https://doi.org/10.1177/08944393211012268.'
ieee: 'D. Assenmacher et al., “Benchmarking Crisis in Social Media Analytics:
A Solution for the Data-Sharing Problem,” Social Science Computer Review,
vol. 40, no. 6, pp. 1496–1522, 2022, doi: 10.1177/08944393211012268.'
mla: 'Assenmacher, Dennis, et al. “Benchmarking Crisis in Social Media Analytics:
A Solution for the Data-Sharing Problem.” Social Science Computer Review,
vol. 40, no. 6, 2022, pp. 1496–522, doi:10.1177/08944393211012268.'
short: D. Assenmacher, D. Weber, M. Preuss, A.C. Valdez, A. Bradshaw, B. Ross, S.
Cresci, H. Trautmann, F. Neumann, C. Grimme, Social Science Computer Review 40
(2022) 1496–1522.
date_created: 2023-08-04T07:26:36Z
date_updated: 2023-10-16T12:57:24Z
department:
- _id: '34'
- _id: '819'
doi: 10.1177/08944393211012268
intvolume: ' 40'
issue: '6'
language:
- iso: eng
page: 1496-1522
publication: Social Science Computer Review
status: public
title: 'Benchmarking Crisis in Social Media Analytics: A Solution for the Data-Sharing
Problem'
type: journal_article
user_id: '15504'
volume: 40
year: '2022'
...
---
_id: '34176'
abstract:
- lang: eng
text: Cascaded H-bridge Converters (CHBs) are a promising solution in converting
power from a three-phase medium voltage of 6.6 kV...30 kV to a lower DC-voltage
in the range of 100 V...1 kV to provide pure DC power to applications such as
electrolyzers for hydrogen generation, data centers with a DC power distribution
and DC microgrids. CHBs can be interpreted as modular multilevel converters with
an isolated DC-DC output stage per module, require a large DC-link capacitor for
each module to handle the second harmonic voltage ripple caused by the fluctuating
input power within a fundamental grid period. Without a zero-sequence voltage
injection, star-connected CHBs are operated with approximately sinusoidal arm
voltages and currents. The floating star point potential enables to utilize different
zero-sequence voltage injection techniques such as a third-harmonic injection
with 1/6 of the grid voltage amplitude or a Min-Max voltage injection. Both well-known
methods have the advantage to reduce the peak arm voltage and thereby the number
of required modules by 13.4 % (to √ 3 2). This paper proves analytically that
the third-harmonic injection with 1/6 of the grid voltage amplitude reduces the
second harmonic voltage ripple by only 15.1 % compared to no-voltage injection
for unity power factor operation and balanced grid voltages. Then it is shown,
that the Min-Max injection has the often overlooked advantage of reducing the
second harmonic voltage ripple by even 18.8 %. By applying the here proposed zero-sequence
voltage injection in saturation modulation, the second harmonic voltage ripple
of the DC-link capacitors is reduced by even 24.3 %, while still requiring the
same number of modules as the Min-Max injection. For a realistic number of reserve
modules, the overall energy ripple in the DC-link capacitors is reduced by 40
%.
author:
- first_name: Roland
full_name: Unruh, Roland
id: '34289'
last_name: Unruh
- first_name: Frank
full_name: Schafmeister, Frank
id: '71291'
last_name: Schafmeister
- first_name: Joachim
full_name: Böcker, Joachim
id: '66'
last_name: Böcker
orcid: 0000-0002-8480-7295
citation:
ama: 'Unruh R, Schafmeister F, Böcker J. Zero-Sequence Voltage Reduces DC-Link Capacitor
Demand in Cascaded H-Bridge Converters for Large-Scale Electrolyzers by 40%. In:
24th European Conference on Power Electronics and Applications (EPE’22 ECCE
Europe). IEEE; 2022.'
apa: Unruh, R., Schafmeister, F., & Böcker, J. (2022). Zero-Sequence Voltage
Reduces DC-Link Capacitor Demand in Cascaded H-Bridge Converters for Large-Scale
Electrolyzers by 40%. 24th European Conference on Power Electronics and Applications
(EPE’22 ECCE Europe). 24th European Conference on Power Electronics and Applications
(EPE’22 ECCE Europe), Hanover, Germany.
bibtex: '@inproceedings{Unruh_Schafmeister_Böcker_2022, title={Zero-Sequence Voltage
Reduces DC-Link Capacitor Demand in Cascaded H-Bridge Converters for Large-Scale
Electrolyzers by 40%}, booktitle={24th European Conference on Power Electronics
and Applications (EPE’22 ECCE Europe)}, publisher={IEEE}, author={Unruh, Roland
and Schafmeister, Frank and Böcker, Joachim}, year={2022} }'
chicago: Unruh, Roland, Frank Schafmeister, and Joachim Böcker. “Zero-Sequence Voltage
Reduces DC-Link Capacitor Demand in Cascaded H-Bridge Converters for Large-Scale
Electrolyzers by 40%.” In 24th European Conference on Power Electronics and
Applications (EPE’22 ECCE Europe). IEEE, 2022.
ieee: R. Unruh, F. Schafmeister, and J. Böcker, “Zero-Sequence Voltage Reduces DC-Link
Capacitor Demand in Cascaded H-Bridge Converters for Large-Scale Electrolyzers
by 40%,” presented at the 24th European Conference on Power Electronics and Applications
(EPE’22 ECCE Europe), Hanover, Germany, 2022.
mla: Unruh, Roland, et al. “Zero-Sequence Voltage Reduces DC-Link Capacitor Demand
in Cascaded H-Bridge Converters for Large-Scale Electrolyzers by 40%.” 24th
European Conference on Power Electronics and Applications (EPE’22 ECCE Europe),
IEEE, 2022.
short: 'R. Unruh, F. Schafmeister, J. Böcker, in: 24th European Conference on Power
Electronics and Applications (EPE’22 ECCE Europe), IEEE, 2022.'
conference:
end_date: 2022-09-09
location: Hanover, Germany
name: 24th European Conference on Power Electronics and Applications (EPE'22 ECCE
Europe)
start_date: 2022-09-05
date_created: 2022-12-02T12:47:38Z
date_updated: 2023-10-23T09:04:23Z
department:
- _id: '52'
keyword:
- Cascaded H-Bridge
- Solid-State Transformer
- Zero sequence voltage
- Third harmonic injection
- Capacitor voltage ripple
language:
- iso: eng
main_file_link:
- url: https://ieeexplore.ieee.org/abstract/document/9907278
publication: 24th European Conference on Power Electronics and Applications (EPE'22
ECCE Europe)
publication_identifier:
isbn:
- 978-9-0758-1539-9
publication_status: published
publisher: IEEE
status: public
title: Zero-Sequence Voltage Reduces DC-Link Capacitor Demand in Cascaded H-Bridge
Converters for Large-Scale Electrolyzers by 40%
type: conference
user_id: '34289'
year: '2022'
...
---
_id: '33471'
abstract:
- lang: eng
text: "The intelligibility of demodulated audio signals from analog high frequency
transmissions, e.g., using single-sideband\r\n(SSB) modulation, can be severely
degraded by channel distortions and/or a mismatch between modulation and demodulation
carrier frequency. In this work a neural network (NN)-based approach for carrier
frequency offset (CFO) estimation from demodulated SSB signals is proposed, whereby
a task specific architecture is presented. Additionally, a simulation framework
for SSB signals is introduced and utilized for training the NNs. The CFO estimator
is combined with a speech enhancement network to investigate its influence on
the enhancement performance. The NN-based system is compared to a recently proposed
pitch tracking based approach on publicly available data from real high frequency
transmissions. Experiments show that the NN exhibits good CFO estimation properties
and results in significant improvements in speech intelligibility, especially
when combined with a noise reduction network."
author:
- first_name: Jens
full_name: Heitkämper, Jens
id: '27643'
last_name: Heitkämper
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Heitkämper J, Schmalenstroeer J, Haeb-Umbach R. Neural Network Based Carrier
Frequency Offset Estimation From Speech Transmitted Over High Frequency Channels.
In: Proceedings of the 30th European Signal Processing Conference (EUSIPCO).'
apa: Heitkämper, J., Schmalenstroeer, J., & Haeb-Umbach, R. (n.d.). Neural Network
Based Carrier Frequency Offset Estimation From Speech Transmitted Over High Frequency
Channels. Proceedings of the 30th European Signal Processing Conference (EUSIPCO).
30th European Signal Processing Conference (EUSIPCO), Belgrad.
bibtex: '@inproceedings{Heitkämper_Schmalenstroeer_Haeb-Umbach, place={Belgrad},
title={Neural Network Based Carrier Frequency Offset Estimation From Speech Transmitted
Over High Frequency Channels}, booktitle={Proceedings of the 30th European Signal
Processing Conference (EUSIPCO)}, author={Heitkämper, Jens and Schmalenstroeer,
Joerg and Haeb-Umbach, Reinhold} }'
chicago: Heitkämper, Jens, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. “Neural
Network Based Carrier Frequency Offset Estimation From Speech Transmitted Over
High Frequency Channels.” In Proceedings of the 30th European Signal Processing
Conference (EUSIPCO). Belgrad, n.d.
ieee: J. Heitkämper, J. Schmalenstroeer, and R. Haeb-Umbach, “Neural Network Based
Carrier Frequency Offset Estimation From Speech Transmitted Over High Frequency
Channels,” presented at the 30th European Signal Processing Conference (EUSIPCO),
Belgrad.
mla: Heitkämper, Jens, et al. “Neural Network Based Carrier Frequency Offset Estimation
From Speech Transmitted Over High Frequency Channels.” Proceedings of the 30th
European Signal Processing Conference (EUSIPCO).
short: 'J. Heitkämper, J. Schmalenstroeer, R. Haeb-Umbach, in: Proceedings of the
30th European Signal Processing Conference (EUSIPCO), Belgrad, n.d.'
conference:
end_date: 2022-09-02
location: Belgrad
name: 30th European Signal Processing Conference (EUSIPCO)
start_date: 2022-08-29
date_created: 2022-09-22T10:56:13Z
date_updated: 2023-10-26T08:15:57Z
ddc:
- '000'
department:
- _id: '54'
file:
- access_level: closed
content_type: application/pdf
creator: jensheit
date_created: 2022-09-22T10:48:31Z
date_updated: 2022-09-22T10:48:31Z
file_id: '33472'
file_name: cfo.pdf
file_size: 1231379
relation: main_file
success: 1
file_date_updated: 2022-09-22T10:48:31Z
has_accepted_license: '1'
language:
- iso: eng
place: Belgrad
project:
- _id: '52'
name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing'
publication: Proceedings of the 30th European Signal Processing Conference (EUSIPCO)
publication_status: accepted
quality_controlled: '1'
status: public
title: Neural Network Based Carrier Frequency Offset Estimation From Speech Transmitted
Over High Frequency Channels
type: conference
user_id: '460'
year: '2022'
...
---
_id: '33806'
author:
- first_name: Haitham
full_name: Afifi, Haitham
last_name: Afifi
- first_name: Holger
full_name: Karl, Holger
last_name: Karl
- first_name: Tobias
full_name: Gburrek, Tobias
id: '44006'
last_name: Gburrek
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
citation:
ama: 'Afifi H, Karl H, Gburrek T, Schmalenstroeer J. Data-driven Time Synchronization
in Wireless Multimedia Networks. In: 2022 International Wireless Communications
and Mobile Computing (IWCMC). IEEE; 2022. doi:10.1109/iwcmc55113.2022.9824980'
apa: Afifi, H., Karl, H., Gburrek, T., & Schmalenstroeer, J. (2022). Data-driven
Time Synchronization in Wireless Multimedia Networks. 2022 International Wireless
Communications and Mobile Computing (IWCMC). https://doi.org/10.1109/iwcmc55113.2022.9824980
bibtex: '@inproceedings{Afifi_Karl_Gburrek_Schmalenstroeer_2022, title={Data-driven
Time Synchronization in Wireless Multimedia Networks}, DOI={10.1109/iwcmc55113.2022.9824980},
booktitle={2022 International Wireless Communications and Mobile Computing (IWCMC)},
publisher={IEEE}, author={Afifi, Haitham and Karl, Holger and Gburrek, Tobias
and Schmalenstroeer, Joerg}, year={2022} }'
chicago: Afifi, Haitham, Holger Karl, Tobias Gburrek, and Joerg Schmalenstroeer.
“Data-Driven Time Synchronization in Wireless Multimedia Networks.” In 2022
International Wireless Communications and Mobile Computing (IWCMC). IEEE,
2022. https://doi.org/10.1109/iwcmc55113.2022.9824980.
ieee: 'H. Afifi, H. Karl, T. Gburrek, and J. Schmalenstroeer, “Data-driven Time
Synchronization in Wireless Multimedia Networks,” 2022, doi: 10.1109/iwcmc55113.2022.9824980.'
mla: Afifi, Haitham, et al. “Data-Driven Time Synchronization in Wireless Multimedia
Networks.” 2022 International Wireless Communications and Mobile Computing
(IWCMC), IEEE, 2022, doi:10.1109/iwcmc55113.2022.9824980.
short: 'H. Afifi, H. Karl, T. Gburrek, J. Schmalenstroeer, in: 2022 International
Wireless Communications and Mobile Computing (IWCMC), IEEE, 2022.'
date_created: 2022-10-18T09:24:17Z
date_updated: 2023-10-26T08:16:07Z
department:
- _id: '54'
doi: 10.1109/iwcmc55113.2022.9824980
language:
- iso: eng
publication: 2022 International Wireless Communications and Mobile Computing (IWCMC)
publication_status: published
publisher: IEEE
quality_controlled: '1'
status: public
title: Data-driven Time Synchronization in Wireless Multimedia Networks
type: conference
user_id: '460'
year: '2022'
...
---
_id: '45373'
author:
- first_name: Jennifer
full_name: Dröse, Jennifer
id: '85820'
last_name: Dröse
- first_name: P.
full_name: Neugebauer, P.
last_name: Neugebauer
- first_name: R.
full_name: Delucchi Danhier, R.
last_name: Delucchi Danhier
- first_name: B.
full_name: Mertins, B.
last_name: Mertins
citation:
ama: 'Dröse J, Neugebauer P, Delucchi Danhier R, Mertins B. Eye-Tracking Studie
zu Textaufgaben in Klasse 5: Bemerken und Interpretieren syntaktischer Strukturen.
In: Kleine P, Graulich N, Kuhn J, Schindler M, eds. Eye-Tracking in der Mathematik-
und Naturwissenschaftsdidaktik. Forschung und Praxis. ; 2022:209-225. doi:https://doi.org/10.1007/978-3-662-63214-7'
apa: 'Dröse, J., Neugebauer, P., Delucchi Danhier, R., & Mertins, B. (2022).
Eye-Tracking Studie zu Textaufgaben in Klasse 5: Bemerken und Interpretieren syntaktischer
Strukturen. In P. Kleine, N. Graulich, J. Kuhn, & M. Schindler (Eds.), Eye-Tracking
in der Mathematik- und Naturwissenschaftsdidaktik. Forschung und Praxis (pp.
209–225). https://doi.org/10.1007/978-3-662-63214-7'
bibtex: '@inbook{Dröse_Neugebauer_Delucchi Danhier_Mertins_2022, title={Eye-Tracking
Studie zu Textaufgaben in Klasse 5: Bemerken und Interpretieren syntaktischer
Strukturen}, DOI={https://doi.org/10.1007/978-3-662-63214-7},
booktitle={Eye-Tracking in der Mathematik- und Naturwissenschaftsdidaktik. Forschung
und Praxis}, author={Dröse, Jennifer and Neugebauer, P. and Delucchi Danhier,
R. and Mertins, B.}, editor={Kleine, P. and Graulich, N. and Kuhn, J. and Schindler,
M.}, year={2022}, pages={209–225} }'
chicago: 'Dröse, Jennifer, P. Neugebauer, R. Delucchi Danhier, and B. Mertins. “Eye-Tracking
Studie zu Textaufgaben in Klasse 5: Bemerken und Interpretieren syntaktischer
Strukturen.” In Eye-Tracking in der Mathematik- und Naturwissenschaftsdidaktik.
Forschung und Praxis, edited by P. Kleine, N. Graulich, J. Kuhn, and M. Schindler,
209–25, 2022. https://doi.org/10.1007/978-3-662-63214-7.'
ieee: 'J. Dröse, P. Neugebauer, R. Delucchi Danhier, and B. Mertins, “Eye-Tracking
Studie zu Textaufgaben in Klasse 5: Bemerken und Interpretieren syntaktischer
Strukturen,” in Eye-Tracking in der Mathematik- und Naturwissenschaftsdidaktik.
Forschung und Praxis, P. Kleine, N. Graulich, J. Kuhn, and M. Schindler, Eds.
2022, pp. 209–225.'
mla: 'Dröse, Jennifer, et al. “Eye-Tracking Studie zu Textaufgaben in Klasse 5:
Bemerken und Interpretieren syntaktischer Strukturen.” Eye-Tracking in der
Mathematik- und Naturwissenschaftsdidaktik. Forschung und Praxis, edited by
P. Kleine et al., 2022, pp. 209–25, doi:https://doi.org/10.1007/978-3-662-63214-7.'
short: 'J. Dröse, P. Neugebauer, R. Delucchi Danhier, B. Mertins, in: P. Kleine,
N. Graulich, J. Kuhn, M. Schindler (Eds.), Eye-Tracking in der Mathematik- und
Naturwissenschaftsdidaktik. Forschung und Praxis, 2022, pp. 209–225.'
date_created: 2023-05-31T06:22:21Z
date_updated: 2023-11-02T08:07:31Z
department:
- _id: '98'
doi: https://doi.org/10.1007/978-3-662-63214-7
editor:
- first_name: P.
full_name: Kleine, P.
last_name: Kleine
- first_name: N.
full_name: Graulich, N.
last_name: Graulich
- first_name: J.
full_name: Kuhn, J.
last_name: Kuhn
- first_name: M.
full_name: Schindler, M.
last_name: Schindler
language:
- iso: ger
page: 209-225
publication: Eye-Tracking in der Mathematik- und Naturwissenschaftsdidaktik. Forschung
und Praxis
quality_controlled: '1'
status: public
title: 'Eye-Tracking Studie zu Textaufgaben in Klasse 5: Bemerken und Interpretieren
syntaktischer Strukturen'
type: book_chapter
user_id: '85820'
year: '2022'
...
---
_id: '33847'
abstract:
- lang: eng
text: "The scope of speech enhancement has changed from a monolithic view of single,\r\nindependent
tasks, to a joint processing of complex conversational speech\r\nrecordings. Training
and evaluation of these single tasks requires synthetic\r\ndata with access to
intermediate signals that is as close as possible to the\r\nevaluation scenario.
As such data often is not available, many works instead\r\nuse specialized databases
for the training of each system component, e.g\r\nWSJ0-mix for source separation.
We present a Multi-purpose Multi-Speaker\r\nMixture Signal Generator (MMS-MSG)
for generating a variety of speech mixture\r\nsignals based on any speech corpus,
ranging from classical anechoic mixtures\r\n(e.g., WSJ0-mix) over reverberant
mixtures (e.g., SMS-WSJ) to meeting-style\r\ndata. Its highly modular and flexible
structure allows for the simulation of\r\ndiverse environments and dynamic mixing,
while simultaneously enabling an easy\r\nextension and modification to generate
new scenarios and mixture types. These\r\nmeetings can be used for prototyping,
evaluation, or training purposes. We\r\nprovide example evaluation data and baseline
results for meetings based on the\r\nWSJ corpus. Further, we demonstrate the usefulness
for realistic scenarios by\r\nusing MMS-MSG to provide training data for the LibriCSS
database."
author:
- first_name: Tobias
full_name: Cord-Landwehr, Tobias
id: '44393'
last_name: Cord-Landwehr
- first_name: Thilo
full_name: von Neumann, Thilo
id: '49870'
last_name: von Neumann
orcid: https://orcid.org/0000-0002-7717-8670
- first_name: Christoph
full_name: Boeddeker, Christoph
id: '40767'
last_name: Boeddeker
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Cord-Landwehr T, von Neumann T, Boeddeker C, Haeb-Umbach R. MMS-MSG: A Multi-purpose
Multi-Speaker Mixture Signal Generator. In: 2022 International Workshop on
Acoustic Signal Enhancement (IWAENC). ; 2022.'
apa: 'Cord-Landwehr, T., von Neumann, T., Boeddeker, C., & Haeb-Umbach, R. (2022).
MMS-MSG: A Multi-purpose Multi-Speaker Mixture Signal Generator. 2022 International
Workshop on Acoustic Signal Enhancement (IWAENC). 2022 International Workshop
on Acoustic Signal Enhancement (IWAENC), Bamberg.'
bibtex: '@inproceedings{Cord-Landwehr_von Neumann_Boeddeker_Haeb-Umbach_2022, title={MMS-MSG:
A Multi-purpose Multi-Speaker Mixture Signal Generator}, booktitle={2022 International
Workshop on Acoustic Signal Enhancement (IWAENC)}, author={Cord-Landwehr, Tobias
and von Neumann, Thilo and Boeddeker, Christoph and Haeb-Umbach, Reinhold}, year={2022}
}'
chicago: 'Cord-Landwehr, Tobias, Thilo von Neumann, Christoph Boeddeker, and Reinhold
Haeb-Umbach. “MMS-MSG: A Multi-Purpose Multi-Speaker Mixture Signal Generator.”
In 2022 International Workshop on Acoustic Signal Enhancement (IWAENC),
2022.'
ieee: 'T. Cord-Landwehr, T. von Neumann, C. Boeddeker, and R. Haeb-Umbach, “MMS-MSG:
A Multi-purpose Multi-Speaker Mixture Signal Generator,” presented at the 2022
International Workshop on Acoustic Signal Enhancement (IWAENC), Bamberg, 2022.'
mla: 'Cord-Landwehr, Tobias, et al. “MMS-MSG: A Multi-Purpose Multi-Speaker Mixture
Signal Generator.” 2022 International Workshop on Acoustic Signal Enhancement
(IWAENC), 2022.'
short: 'T. Cord-Landwehr, T. von Neumann, C. Boeddeker, R. Haeb-Umbach, in: 2022
International Workshop on Acoustic Signal Enhancement (IWAENC), 2022.'
conference:
location: Bamberg
name: 2022 International Workshop on Acoustic Signal Enhancement (IWAENC)
date_created: 2022-10-20T14:02:14Z
date_updated: 2023-11-15T14:55:14Z
ddc:
- '000'
department:
- _id: '54'
external_id:
arxiv:
- '2209.11494'
file:
- access_level: open_access
content_type: application/pdf
creator: cord
date_created: 2023-11-15T14:54:56Z
date_updated: 2023-11-15T14:54:56Z
file_id: '48931'
file_name: mms_msg_camera_ready.pdf
file_size: 177975
relation: main_file
file_date_updated: 2023-11-15T14:54:56Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
project:
- _id: '52'
name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing'
publication: 2022 International Workshop on Acoustic Signal Enhancement (IWAENC)
quality_controlled: '1'
status: public
title: 'MMS-MSG: A Multi-purpose Multi-Speaker Mixture Signal Generator'
type: conference
user_id: '44393'
year: '2022'
...
---
_id: '33807'
author:
- first_name: Tobias
full_name: Gburrek, Tobias
id: '44006'
last_name: Gburrek
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Gburrek T, Schmalenstroeer J, Haeb-Umbach R. On Synchronization of Wireless
Acoustic Sensor Networks in the Presence of Time-Varying Sampling Rate Offsets
and Speaker Changes. In: ICASSP 2022 - 2022 IEEE International Conference on
Acoustics, Speech and Signal Processing (ICASSP). IEEE; 2022. doi:10.1109/icassp43922.2022.9746284'
apa: Gburrek, T., Schmalenstroeer, J., & Haeb-Umbach, R. (2022). On Synchronization
of Wireless Acoustic Sensor Networks in the Presence of Time-Varying Sampling
Rate Offsets and Speaker Changes. ICASSP 2022 - 2022 IEEE International Conference
on Acoustics, Speech and Signal Processing (ICASSP). https://doi.org/10.1109/icassp43922.2022.9746284
bibtex: '@inproceedings{Gburrek_Schmalenstroeer_Haeb-Umbach_2022, title={On Synchronization
of Wireless Acoustic Sensor Networks in the Presence of Time-Varying Sampling
Rate Offsets and Speaker Changes}, DOI={10.1109/icassp43922.2022.9746284},
booktitle={ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech
and Signal Processing (ICASSP)}, publisher={IEEE}, author={Gburrek, Tobias and
Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold}, year={2022} }'
chicago: Gburrek, Tobias, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. “On Synchronization
of Wireless Acoustic Sensor Networks in the Presence of Time-Varying Sampling
Rate Offsets and Speaker Changes.” In ICASSP 2022 - 2022 IEEE International
Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2022.
https://doi.org/10.1109/icassp43922.2022.9746284.
ieee: 'T. Gburrek, J. Schmalenstroeer, and R. Haeb-Umbach, “On Synchronization of
Wireless Acoustic Sensor Networks in the Presence of Time-Varying Sampling Rate
Offsets and Speaker Changes,” 2022, doi: 10.1109/icassp43922.2022.9746284.'
mla: Gburrek, Tobias, et al. “On Synchronization of Wireless Acoustic Sensor Networks
in the Presence of Time-Varying Sampling Rate Offsets and Speaker Changes.” ICASSP
2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing
(ICASSP), IEEE, 2022, doi:10.1109/icassp43922.2022.9746284.
short: 'T. Gburrek, J. Schmalenstroeer, R. Haeb-Umbach, in: ICASSP 2022 - 2022 IEEE
International Conference on Acoustics, Speech and Signal Processing (ICASSP),
IEEE, 2022.'
date_created: 2022-10-18T09:25:51Z
date_updated: 2023-11-17T06:39:28Z
ddc:
- '004'
department:
- _id: '54'
doi: 10.1109/icassp43922.2022.9746284
file:
- access_level: open_access
content_type: application/pdf
creator: tgburrek
date_created: 2023-11-17T06:39:04Z
date_updated: 2023-11-17T06:39:04Z
file_id: '48990'
file_name: gburrek_icassp22.pdf
file_size: 358015
relation: main_file
file_date_updated: 2023-11-17T06:39:04Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
publication: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech
and Signal Processing (ICASSP)
publication_status: published
publisher: IEEE
quality_controlled: '1'
status: public
title: On Synchronization of Wireless Acoustic Sensor Networks in the Presence of
Time-Varying Sampling Rate Offsets and Speaker Changes
type: conference
user_id: '44006'
year: '2022'
...
---
_id: '33451'
abstract:
- lang: eng
text: "We present an approach to automatically generate semantic labels for real
recordings of automotive range-Doppler (RD) radar spectra. Such labels are required
when training a neural network for object recognition from radar data. The automatic
labeling approach rests on the simultaneous recording of camera and lidar data
in addition to the radar spectrum. By warping radar spectra into the camera image,
state-of-the-art object recognition algorithms can be applied to label relevant
objects, such as cars, in the camera image. The warping operation is designed
to be fully differentiable, which allows backpropagating the gradient computed
on the camera image through the warping operation to the neural network operating
on the radar data. As the warping operation relies on accurate scene flow estimation,
we further propose a novel scene flow estimation algorithm which exploits information
from camera, lidar and radar sensors. The\r\nproposed scene flow estimation approach
is compared against a state-of-the-art scene flow algorithm, and it outperforms
it by approximately 30% w.r.t. mean average error. The feasibility of the overall
framework for automatic label generation for\r\nRD spectra is verified by evaluating
the performance of neural networks trained with the proposed framework for Direction-of-Arrival
estimation."
author:
- first_name: Christopher
full_name: Grimm, Christopher
last_name: Grimm
- first_name: Tai
full_name: Fei, Tai
last_name: Fei
- first_name: Ernst
full_name: Warsitz, Ernst
last_name: Warsitz
- first_name: Ridha
full_name: Farhoud, Ridha
last_name: Farhoud
- first_name: Tobias
full_name: Breddermann, Tobias
last_name: Breddermann
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: Grimm C, Fei T, Warsitz E, Farhoud R, Breddermann T, Haeb-Umbach R. Warping
of Radar Data Into Camera Image for Cross-Modal Supervision in Automotive Applications.
IEEE Transactions on Vehicular Technology. 2022;71(9):9435-9449. doi:10.1109/TVT.2022.3182411
apa: Grimm, C., Fei, T., Warsitz, E., Farhoud, R., Breddermann, T., & Haeb-Umbach,
R. (2022). Warping of Radar Data Into Camera Image for Cross-Modal Supervision
in Automotive Applications. IEEE Transactions on Vehicular Technology,
71(9), 9435–9449. https://doi.org/10.1109/TVT.2022.3182411
bibtex: '@article{Grimm_Fei_Warsitz_Farhoud_Breddermann_Haeb-Umbach_2022, title={Warping
of Radar Data Into Camera Image for Cross-Modal Supervision in Automotive Applications},
volume={71}, DOI={10.1109/TVT.2022.3182411},
number={9}, journal={IEEE Transactions on Vehicular Technology}, author={Grimm,
Christopher and Fei, Tai and Warsitz, Ernst and Farhoud, Ridha and Breddermann,
Tobias and Haeb-Umbach, Reinhold}, year={2022}, pages={9435–9449} }'
chicago: 'Grimm, Christopher, Tai Fei, Ernst Warsitz, Ridha Farhoud, Tobias Breddermann,
and Reinhold Haeb-Umbach. “Warping of Radar Data Into Camera Image for Cross-Modal
Supervision in Automotive Applications.” IEEE Transactions on Vehicular Technology
71, no. 9 (2022): 9435–49. https://doi.org/10.1109/TVT.2022.3182411.'
ieee: 'C. Grimm, T. Fei, E. Warsitz, R. Farhoud, T. Breddermann, and R. Haeb-Umbach,
“Warping of Radar Data Into Camera Image for Cross-Modal Supervision in Automotive
Applications,” IEEE Transactions on Vehicular Technology, vol. 71, no.
9, pp. 9435–9449, 2022, doi: 10.1109/TVT.2022.3182411.'
mla: Grimm, Christopher, et al. “Warping of Radar Data Into Camera Image for Cross-Modal
Supervision in Automotive Applications.” IEEE Transactions on Vehicular Technology,
vol. 71, no. 9, 2022, pp. 9435–49, doi:10.1109/TVT.2022.3182411.
short: C. Grimm, T. Fei, E. Warsitz, R. Farhoud, T. Breddermann, R. Haeb-Umbach,
IEEE Transactions on Vehicular Technology 71 (2022) 9435–9449.
date_created: 2022-09-21T07:26:19Z
date_updated: 2023-11-20T16:37:16Z
ddc:
- '000'
department:
- _id: '54'
doi: 10.1109/TVT.2022.3182411
file:
- access_level: open_access
content_type: application/pdf
creator: huesera
date_created: 2022-09-22T07:00:29Z
date_updated: 2022-09-22T07:00:29Z
file_id: '33460'
file_name: T-VT_AcceptedVersion.pdf
file_size: 12117870
relation: main_file
file_date_updated: 2022-09-22T07:00:29Z
has_accepted_license: '1'
intvolume: ' 71'
issue: '9'
language:
- iso: eng
oa: '1'
page: 9435-9449
publication: IEEE Transactions on Vehicular Technology
quality_controlled: '1'
status: public
title: Warping of Radar Data Into Camera Image for Cross-Modal Supervision in Automotive
Applications
type: journal_article
user_id: '242'
volume: 71
year: '2022'
...
---
_id: '33696'
author:
- first_name: Jana
full_name: Wiechmann, Jana
last_name: Wiechmann
- first_name: Thomas
full_name: Glarner, Thomas
last_name: Glarner
- first_name: Frederik
full_name: Rautenberg, Frederik
id: '72602'
last_name: Rautenberg
- first_name: Petra
full_name: Wagner, Petra
last_name: Wagner
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Wiechmann J, Glarner T, Rautenberg F, Wagner P, Haeb-Umbach R. Technically
enabled explaining of voice characteristics. In: 18. Phonetik Und Phonologie
Im Deutschsprachigen Raum (P&P). ; 2022.'
apa: Wiechmann, J., Glarner, T., Rautenberg, F., Wagner, P., & Haeb-Umbach,
R. (2022). Technically enabled explaining of voice characteristics. 18. Phonetik
Und Phonologie Im Deutschsprachigen Raum (P&P).
bibtex: '@inproceedings{Wiechmann_Glarner_Rautenberg_Wagner_Haeb-Umbach_2022, title={Technically
enabled explaining of voice characteristics}, booktitle={18. Phonetik und Phonologie
im deutschsprachigen Raum (P&P)}, author={Wiechmann, Jana and Glarner, Thomas
and Rautenberg, Frederik and Wagner, Petra and Haeb-Umbach, Reinhold}, year={2022}
}'
chicago: Wiechmann, Jana, Thomas Glarner, Frederik Rautenberg, Petra Wagner, and
Reinhold Haeb-Umbach. “Technically Enabled Explaining of Voice Characteristics.”
In 18. Phonetik Und Phonologie Im Deutschsprachigen Raum (P&P), 2022.
ieee: J. Wiechmann, T. Glarner, F. Rautenberg, P. Wagner, and R. Haeb-Umbach, “Technically
enabled explaining of voice characteristics,” Bielefeld, 2022.
mla: Wiechmann, Jana, et al. “Technically Enabled Explaining of Voice Characteristics.”
18. Phonetik Und Phonologie Im Deutschsprachigen Raum (P&P), 2022.
short: 'J. Wiechmann, T. Glarner, F. Rautenberg, P. Wagner, R. Haeb-Umbach, in:
18. Phonetik Und Phonologie Im Deutschsprachigen Raum (P&P), 2022.'
conference:
end_date: 2022-10-07
location: Bielefeld
start_date: 2022-10-06
date_created: 2022-10-12T07:10:03Z
date_updated: 2023-11-22T13:45:30Z
ddc:
- '000'
department:
- _id: '54'
- _id: '660'
file:
- access_level: open_access
content_type: application/pdf
creator: huesera
date_created: 2022-10-12T07:09:26Z
date_updated: 2022-10-12T07:09:26Z
file_id: '33697'
file_name: PP_2022_paper_8911.pdf
file_size: 109294
relation: main_file
file_date_updated: 2022-10-12T07:09:26Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
project:
- _id: '129'
grant_number: '438445824'
name: 'TRR 318 - C06: TRR 318 - Technisch unterstütztes Erklären von Stimmcharakteristika
(Teilprojekt C06)'
publication: 18. Phonetik und Phonologie im deutschsprachigen Raum (P&P)
status: public
title: Technically enabled explaining of voice characteristics
type: conference
user_id: '72602'
year: '2022'
...
---
_id: '33957'
abstract:
- lang: eng
text: Manufacturing companies are challenged to make the increasingly complex work
processes equally manageable for all employees to prevent an impending loss of
competence. In this contribution, an intelligent assistance system is proposed
enabling employees to help themselves in the workplace and provide them with competence-related
support. This results in increasing the short- and long-term efficiency of problem
solving in companies.
author:
- first_name: Sahar
full_name: Deppe, Sahar
last_name: Deppe
- first_name: Lukas
full_name: Brandt, Lukas
last_name: Brandt
- first_name: Marc
full_name: Brünninghaus, Marc
last_name: Brünninghaus
- first_name: Jörg
full_name: Papenkordt, Jörg
id: '44648'
last_name: Papenkordt
- first_name: Stefan
full_name: Heindorf, Stefan
id: '11871'
last_name: Heindorf
orcid: 0000-0002-4525-6865
- first_name: Gudrun
full_name: Tschirner-Vinke, Gudrun
last_name: Tschirner-Vinke
citation:
ama: Deppe S, Brandt L, Brünninghaus M, Papenkordt J, Heindorf S, Tschirner-Vinke
G. AI-Based Assistance System for Manufacturing. Published online 2022. doi:10.1109/ETFA52439.2022.9921520
apa: Deppe, S., Brandt, L., Brünninghaus, M., Papenkordt, J., Heindorf, S., &
Tschirner-Vinke, G. (2022). AI-Based Assistance System for Manufacturing.
ETFA, Stuttgart. https://doi.org/10.1109/ETFA52439.2022.9921520
bibtex: '@article{Deppe_Brandt_Brünninghaus_Papenkordt_Heindorf_Tschirner-Vinke_2022,
series={2022 IEEE 27th International Conference on Emerging Technologies and Factory
Automation (ETFA)}, title={AI-Based Assistance System for Manufacturing}, DOI={10.1109/ETFA52439.2022.9921520},
author={Deppe, Sahar and Brandt, Lukas and Brünninghaus, Marc and Papenkordt,
Jörg and Heindorf, Stefan and Tschirner-Vinke, Gudrun}, year={2022}, collection={2022
IEEE 27th International Conference on Emerging Technologies and Factory Automation
(ETFA)} }'
chicago: Deppe, Sahar, Lukas Brandt, Marc Brünninghaus, Jörg Papenkordt, Stefan
Heindorf, and Gudrun Tschirner-Vinke. “AI-Based Assistance System for Manufacturing.”
2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation
(ETFA), 2022. https://doi.org/10.1109/ETFA52439.2022.9921520.
ieee: 'S. Deppe, L. Brandt, M. Brünninghaus, J. Papenkordt, S. Heindorf, and G.
Tschirner-Vinke, “AI-Based Assistance System for Manufacturing.” 2022, doi: 10.1109/ETFA52439.2022.9921520.'
mla: Deppe, Sahar, et al. AI-Based Assistance System for Manufacturing. 2022,
doi:10.1109/ETFA52439.2022.9921520.
short: S. Deppe, L. Brandt, M. Brünninghaus, J. Papenkordt, S. Heindorf, G. Tschirner-Vinke,
(2022).
conference:
end_date: 2022-09-09
location: Stuttgart
name: ETFA
start_date: 2022-09-06
date_created: 2022-10-28T11:43:49Z
date_updated: 2023-11-23T08:07:51Z
department:
- _id: '178'
- _id: '574'
- _id: '184'
doi: 10.1109/ETFA52439.2022.9921520
keyword:
- Assistance system
- Knowledge graph
- Information retrieval
- Neural networks
- AR
language:
- iso: eng
project:
- _id: '409'
grant_number: 02L19C115
name: 'KIAM: KIAM: Kompetenzzentrum KI in der Arbeitswelt des industriellen Mittelstands
in OstWestfalenLippe'
related_material:
link:
- relation: confirmation
url: https://ieeexplore.ieee.org/document/9921520
series_title: 2022 IEEE 27th International Conference on Emerging Technologies and
Factory Automation (ETFA)
status: public
title: AI-Based Assistance System for Manufacturing
type: conference
user_id: '44648'
year: '2022'
...
---
_id: '30733'
abstract:
- lang: eng
text: Hamilton-Jacobi reachability methods for safety-critical control have been
well studied, but the safety guarantees derived rely on the accuracy of the numerical
computation. Thus, it is crucial to understand and account for any inaccuracies
that occur due to uncertainty in the underlying dynamics and environment as well
as the induced numerical errors. To this end, we propose a framework for modeling
the error of the value function inherent in Hamilton-Jacobi reachability using
a Gaussian process. The derived safety controller can be used in conjuncture with
arbitrary controllers to provide a safe hybrid control law. The marginal likelihood
of the Gaussian process then provides a confidence metric used to determine switches
between a least restrictive controller and a safety controller. We test both the
prediction as well as the correction capabilities of the presented method in a
classical pursuit-evasion example.
author:
- first_name: Nikolaus
full_name: Vertovec, Nikolaus
id: '93930'
last_name: Vertovec
- first_name: Sina
full_name: Ober-Blöbaum, Sina
id: '16494'
last_name: Ober-Blöbaum
- first_name: Kostas
full_name: Margellos, Kostas
last_name: Margellos
citation:
ama: 'Vertovec N, Ober-Blöbaum S, Margellos K. Verification of safety critical control
policies using kernel methods. In: ; 2022:1870-1875.'
apa: Vertovec, N., Ober-Blöbaum, S., & Margellos, K. (2022). Verification
of safety critical control policies using kernel methods. 1870–1875.
bibtex: '@inproceedings{Vertovec_Ober-Blöbaum_Margellos_2022, title={Verification
of safety critical control policies using kernel methods}, author={Vertovec, Nikolaus
and Ober-Blöbaum, Sina and Margellos, Kostas}, year={2022}, pages={1870–1875}
}'
chicago: Vertovec, Nikolaus, Sina Ober-Blöbaum, and Kostas Margellos. “Verification
of Safety Critical Control Policies Using Kernel Methods,” 1870–75, 2022.
ieee: N. Vertovec, S. Ober-Blöbaum, and K. Margellos, “Verification of safety critical
control policies using kernel methods,” London, 2022, pp. 1870–1875.
mla: Vertovec, Nikolaus, et al. Verification of Safety Critical Control Policies
Using Kernel Methods. 2022, pp. 1870–75.
short: 'N. Vertovec, S. Ober-Blöbaum, K. Margellos, in: 2022, pp. 1870–1875.'
conference:
end_date: 2022-07-15
location: London
name: 2022 European Control Conference (ECC)
start_date: 2022-07-12
date_created: 2022-03-31T11:14:13Z
date_updated: 2023-11-29T10:00:18Z
ddc:
- '510'
department:
- _id: '636'
has_accepted_license: '1'
language:
- iso: eng
page: 1870-1875
status: public
title: Verification of safety critical control policies using kernel methods
type: conference
user_id: '15694'
year: '2022'
...
---
_id: '46306'
abstract:
- lang: eng
text: Hyperparameter optimization (HPO) is a key component of machine learning models
for achieving peak predictive performance. While numerous methods and algorithms
for HPO have been proposed over the last years, little progress has been made
in illuminating and examining the actual structure of these black-box optimization
problems. Exploratory landscape analysis (ELA) subsumes a set of techniques that
can be used to gain knowledge about properties of unknown optimization problems.
In this paper, we evaluate the performance of five different black-box optimizers
on 30 HPO problems, which consist of two-, three- and five-dimensional continuous
search spaces of the XGBoost learner trained on 10 different data sets. This is
contrasted with the performance of the same optimizers evaluated on 360 problem
instances from the black-box optimization benchmark (BBOB). We then compute ELA
features on the HPO and BBOB problems and examine similarities and differences.
A cluster analysis of the HPO and BBOB problems in ELA feature space allows us
to identify how the HPO problems compare to the BBOB problems on a structural
meta-level. We identify a subset of BBOB problems that are close to the HPO problems
in ELA feature space and show that optimizer performance is comparably similar
on these two sets of benchmark problems. We highlight open challenges of ELA for
HPO and discuss potential directions of future research and applications.
author:
- first_name: Lennart
full_name: Schneider, Lennart
last_name: Schneider
- first_name: Lennart
full_name: Schäpermeier, Lennart
last_name: Schäpermeier
- first_name: Raphael Patrick
full_name: Prager, Raphael Patrick
last_name: Prager
- first_name: Bernd
full_name: Bischl, Bernd
last_name: Bischl
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
- first_name: Pascal
full_name: Kerschke, Pascal
last_name: Kerschke
citation:
ama: 'Schneider L, Schäpermeier L, Prager RP, Bischl B, Trautmann H, Kerschke P.
HPO x ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory
Landscape Analysis. In: Rudolph G, Kononova AV, Aguirre H, Kerschke P, Ochoa G,
Tušar T, eds. Parallel Problem Solving from Nature — PPSN XVII. Springer
International Publishing; 2022:575–589. doi:10.1007/978-3-031-14714-2_40'
apa: 'Schneider, L., Schäpermeier, L., Prager, R. P., Bischl, B., Trautmann, H.,
& Kerschke, P. (2022). HPO x ELA: Investigating Hyperparameter Optimization
Landscapes by Means of Exploratory Landscape Analysis. In G. Rudolph, A. V. Kononova,
H. Aguirre, P. Kerschke, G. Ochoa, & T. Tušar (Eds.), Parallel Problem
Solving from Nature — PPSN XVII (pp. 575–589). Springer International Publishing.
https://doi.org/10.1007/978-3-031-14714-2_40'
bibtex: '@inproceedings{Schneider_Schäpermeier_Prager_Bischl_Trautmann_Kerschke_2022,
place={Cham}, title={HPO x ELA: Investigating Hyperparameter Optimization Landscapes
by Means of Exploratory Landscape Analysis}, DOI={10.1007/978-3-031-14714-2_40},
booktitle={Parallel Problem Solving from Nature — PPSN XVII}, publisher={Springer
International Publishing}, author={Schneider, Lennart and Schäpermeier, Lennart
and Prager, Raphael Patrick and Bischl, Bernd and Trautmann, Heike and Kerschke,
Pascal}, editor={Rudolph, Günter and Kononova, Anna V. and Aguirre, Hernán and
Kerschke, Pascal and Ochoa, Gabriela and Tušar, Tea}, year={2022}, pages={575–589}
}'
chicago: 'Schneider, Lennart, Lennart Schäpermeier, Raphael Patrick Prager, Bernd
Bischl, Heike Trautmann, and Pascal Kerschke. “HPO x ELA: Investigating Hyperparameter
Optimization Landscapes by Means of Exploratory Landscape Analysis.” In Parallel
Problem Solving from Nature — PPSN XVII, edited by Günter Rudolph, Anna V.
Kononova, Hernán Aguirre, Pascal Kerschke, Gabriela Ochoa, and Tea Tušar, 575–589.
Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-031-14714-2_40.'
ieee: 'L. Schneider, L. Schäpermeier, R. P. Prager, B. Bischl, H. Trautmann, and
P. Kerschke, “HPO x ELA: Investigating Hyperparameter Optimization Landscapes
by Means of Exploratory Landscape Analysis,” in Parallel Problem Solving from
Nature — PPSN XVII, 2022, pp. 575–589, doi: 10.1007/978-3-031-14714-2_40.'
mla: 'Schneider, Lennart, et al. “HPO x ELA: Investigating Hyperparameter Optimization
Landscapes by Means of Exploratory Landscape Analysis.” Parallel Problem Solving
from Nature — PPSN XVII, edited by Günter Rudolph et al., Springer International
Publishing, 2022, pp. 575–589, doi:10.1007/978-3-031-14714-2_40.'
short: 'L. Schneider, L. Schäpermeier, R.P. Prager, B. Bischl, H. Trautmann, P.
Kerschke, in: G. Rudolph, A.V. Kononova, H. Aguirre, P. Kerschke, G. Ochoa, T.
Tušar (Eds.), Parallel Problem Solving from Nature — PPSN XVII, Springer International
Publishing, Cham, 2022, pp. 575–589.'
date_created: 2023-08-04T07:15:16Z
date_updated: 2023-10-16T12:51:27Z
department:
- _id: '34'
- _id: '819'
doi: 10.1007/978-3-031-14714-2_40
editor:
- first_name: Günter
full_name: Rudolph, Günter
last_name: Rudolph
- first_name: Anna V.
full_name: Kononova, Anna V.
last_name: Kononova
- first_name: Hernán
full_name: Aguirre, Hernán
last_name: Aguirre
- first_name: Pascal
full_name: Kerschke, Pascal
last_name: Kerschke
- first_name: Gabriela
full_name: Ochoa, Gabriela
last_name: Ochoa
- first_name: Tea
full_name: Tušar, Tea
last_name: Tušar
language:
- iso: eng
page: 575–589
place: Cham
publication: Parallel Problem Solving from Nature — PPSN XVII
publication_identifier:
isbn:
- 978-3-031-14714-2
publisher: Springer International Publishing
status: public
title: 'HPO x ELA: Investigating Hyperparameter Optimization Landscapes by Means of
Exploratory Landscape Analysis'
type: conference
user_id: '15504'
year: '2022'
...
---
_id: '46308'
abstract:
- lang: eng
text: Single-objective continuous optimization can be challenging, especially when
dealing with multimodal problems. This work sheds light on the effects that multi-objective
optimization may have in the single-objective space. For this purpose, we examine
the inner mechanisms of the recently developed sophisticated local search procedure
SOMOGSA. This method solves multimodal single-objective continuous optimization
problems based on first expanding the problem with an additional objective (e.g.,
a sphere function) to the bi-objective domain and subsequently exploiting local
structures of the resulting landscapes. Our study particularly focuses on the
sensitivity of this multiobjectivization approach w.r.t. (1) the parametrization
of the artificial second objective, as well as (2) the position of the initial
starting points in the search space. As SOMOGSA is a modular framework for encapsulating
local search, we integrate Nelder–Mead local search as optimizer in the respective
module and compare the performance of the resulting hybrid local search to its
original single-objective counterpart. We show that the SOMOGSA framework can
significantly boost local search by multiobjectivization. Hence, combined with
more sophisticated local search and metaheuristics, this may help solve highly
multimodal optimization problems in the future.
author:
- first_name: Pelin
full_name: Aspar, Pelin
last_name: Aspar
- first_name: Vera
full_name: Steinhoff, Vera
last_name: Steinhoff
- first_name: Lennart
full_name: Schäpermeier, Lennart
last_name: Schäpermeier
- first_name: Pascal
full_name: Kerschke, Pascal
last_name: Kerschke
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
- first_name: Christian
full_name: Grimme, Christian
last_name: Grimme
citation:
ama: 'Aspar P, Steinhoff V, Schäpermeier L, Kerschke P, Trautmann H, Grimme C. The
objective that freed me: a multi-objective local search approach for continuous
single-objective optimization. Natural Computing. 2022;1:1–15. doi:10.1007/s11047-022-09919-w'
apa: 'Aspar, P., Steinhoff, V., Schäpermeier, L., Kerschke, P., Trautmann, H., &
Grimme, C. (2022). The objective that freed me: a multi-objective local search
approach for continuous single-objective optimization. Natural Computing,
1, 1–15. https://doi.org/10.1007/s11047-022-09919-w'
bibtex: '@article{Aspar_Steinhoff_Schäpermeier_Kerschke_Trautmann_Grimme_2022, title={The
objective that freed me: a multi-objective local search approach for continuous
single-objective optimization}, volume={1}, DOI={10.1007/s11047-022-09919-w},
journal={Natural Computing}, author={Aspar, Pelin and Steinhoff, Vera and Schäpermeier,
Lennart and Kerschke, Pascal and Trautmann, Heike and Grimme, Christian}, year={2022},
pages={1–15} }'
chicago: 'Aspar, Pelin, Vera Steinhoff, Lennart Schäpermeier, Pascal Kerschke, Heike
Trautmann, and Christian Grimme. “The Objective That Freed Me: A Multi-Objective
Local Search Approach for Continuous Single-Objective Optimization.” Natural
Computing 1 (2022): 1–15. https://doi.org/10.1007/s11047-022-09919-w.'
ieee: 'P. Aspar, V. Steinhoff, L. Schäpermeier, P. Kerschke, H. Trautmann, and C.
Grimme, “The objective that freed me: a multi-objective local search approach
for continuous single-objective optimization,” Natural Computing, vol.
1, pp. 1–15, 2022, doi: 10.1007/s11047-022-09919-w.'
mla: 'Aspar, Pelin, et al. “The Objective That Freed Me: A Multi-Objective Local
Search Approach for Continuous Single-Objective Optimization.” Natural Computing,
vol. 1, 2022, pp. 1–15, doi:10.1007/s11047-022-09919-w.'
short: P. Aspar, V. Steinhoff, L. Schäpermeier, P. Kerschke, H. Trautmann, C. Grimme,
Natural Computing 1 (2022) 1–15.
date_created: 2023-08-04T07:16:40Z
date_updated: 2023-10-16T12:52:33Z
department:
- _id: '34'
- _id: '819'
doi: 10.1007/s11047-022-09919-w
intvolume: ' 1'
language:
- iso: eng
page: 1–15
publication: Natural Computing
status: public
title: 'The objective that freed me: a multi-objective local search approach for continuous
single-objective optimization'
type: journal_article
user_id: '15504'
volume: 1
year: '2022'
...
---
_id: '48299'
abstract:
- lang: eng
text: Graph convolutional networks (GCNs) are a powerful architecture for representation
learning on documents that naturally occur as graphs, e.g., citation or social
networks. However, sensitive personal information, such as documents with people{’}s
profiles or relationships as edges, are prone to privacy leaks, as the trained
model might reveal the original input. Although differential privacy (DP) offers
a well-founded privacy-preserving framework, GCNs pose theoretical and practical
challenges due to their training specifics. We address these challenges by adapting
differentially-private gradient-based training to GCNs and conduct experiments
using two optimizers on five NLP datasets in two languages. We propose a simple
yet efficient method based on random graph splits that not only improves the baseline
privacy bounds by a factor of 2.7 while retaining competitive F1 scores, but also
provides strong privacy guarantees of epsilon = 1.0. We show that, under certain
modeling choices, privacy-preserving GCNs perform up to 90{%} of their non-private
variants, while formally guaranteeing strong privacy measures.
author:
- first_name: Timour
full_name: Igamberdiev, Timour
last_name: Igamberdiev
- first_name: Ivan
full_name: Habernal, Ivan
id: '101881'
last_name: Habernal
citation:
ama: 'Igamberdiev T, Habernal I. Privacy-Preserving Graph Convolutional Networks
for Text Classification. In: Proceedings of the Thirteenth Language Resources
and Evaluation Conference. European Language Resources Association; 2022:338–350.'
apa: Igamberdiev, T., & Habernal, I. (2022). Privacy-Preserving Graph Convolutional
Networks for Text Classification. Proceedings of the Thirteenth Language Resources
and Evaluation Conference, 338–350.
bibtex: '@inproceedings{Igamberdiev_Habernal_2022, place={Marseille, France}, title={Privacy-Preserving
Graph Convolutional Networks for Text Classification}, booktitle={Proceedings
of the Thirteenth Language Resources and Evaluation Conference}, publisher={European
Language Resources Association}, author={Igamberdiev, Timour and Habernal, Ivan},
year={2022}, pages={338–350} }'
chicago: 'Igamberdiev, Timour, and Ivan Habernal. “Privacy-Preserving Graph Convolutional
Networks for Text Classification.” In Proceedings of the Thirteenth Language
Resources and Evaluation Conference, 338–350. Marseille, France: European
Language Resources Association, 2022.'
ieee: T. Igamberdiev and I. Habernal, “Privacy-Preserving Graph Convolutional Networks
for Text Classification,” in Proceedings of the Thirteenth Language Resources
and Evaluation Conference, 2022, pp. 338–350.
mla: Igamberdiev, Timour, and Ivan Habernal. “Privacy-Preserving Graph Convolutional
Networks for Text Classification.” Proceedings of the Thirteenth Language Resources
and Evaluation Conference, European Language Resources Association, 2022,
pp. 338–350.
short: 'T. Igamberdiev, I. Habernal, in: Proceedings of the Thirteenth Language
Resources and Evaluation Conference, European Language Resources Association,
Marseille, France, 2022, pp. 338–350.'
date_created: 2023-10-19T08:26:58Z
date_updated: 2023-10-19T12:05:12Z
department:
- _id: '34'
- _id: '820'
language:
- iso: eng
page: 338–350
place: Marseille, France
publication: Proceedings of the Thirteenth Language Resources and Evaluation Conference
publisher: European Language Resources Association
status: public
title: Privacy-Preserving Graph Convolutional Networks for Text Classification
type: conference
user_id: '15504'
year: '2022'
...
---
_id: '48300'
abstract:
- lang: eng
text: Text rewriting with differential privacy (DP) provides concrete theoretical
guarantees for protecting the privacy of individuals in textual documents. In
practice, existing systems may lack the means to validate their privacy-preserving
claims, leading to problems of transparency and reproducibility. We introduce
DP-Rewrite, an open-source framework for differentially private text rewriting
which aims to solve these problems by being modular, extensible, and highly customizable.
Our system incorporates a variety of downstream datasets, models, pre-training
procedures, and evaluation metrics to provide a flexible way to lead and validate
private text rewriting research. To demonstrate our software in practice, we provide
a set of experiments as a case study on the ADePT DP text rewriting system, detecting
a privacy leak in its pre-training approach. Our system is publicly available,
and we hope that it will help the community to make DP text rewriting research
more accessible and transparent.
author:
- first_name: Timour
full_name: Igamberdiev, Timour
last_name: Igamberdiev
- first_name: Thomas
full_name: Arnold, Thomas
last_name: Arnold
- first_name: Ivan
full_name: Habernal, Ivan
id: '101881'
last_name: Habernal
citation:
ama: 'Igamberdiev T, Arnold T, Habernal I. DP-Rewrite: Towards Reproducibility and
Transparency in Differentially Private Text Rewriting. In: Proceedings of the
29th International Conference on Computational Linguistics. International
Committee on Computational Linguistics; 2022:2927–2933.'
apa: 'Igamberdiev, T., Arnold, T., & Habernal, I. (2022). DP-Rewrite: Towards
Reproducibility and Transparency in Differentially Private Text Rewriting. Proceedings
of the 29th International Conference on Computational Linguistics, 2927–2933.'
bibtex: '@inproceedings{Igamberdiev_Arnold_Habernal_2022, place={Gyeongju, Republic
of Korea}, title={DP-Rewrite: Towards Reproducibility and Transparency in Differentially
Private Text Rewriting}, booktitle={Proceedings of the 29th International Conference
on Computational Linguistics}, publisher={International Committee on Computational
Linguistics}, author={Igamberdiev, Timour and Arnold, Thomas and Habernal, Ivan},
year={2022}, pages={2927–2933} }'
chicago: 'Igamberdiev, Timour, Thomas Arnold, and Ivan Habernal. “DP-Rewrite: Towards
Reproducibility and Transparency in Differentially Private Text Rewriting.” In
Proceedings of the 29th International Conference on Computational Linguistics,
2927–2933. Gyeongju, Republic of Korea: International Committee on Computational
Linguistics, 2022.'
ieee: 'T. Igamberdiev, T. Arnold, and I. Habernal, “DP-Rewrite: Towards Reproducibility
and Transparency in Differentially Private Text Rewriting,” in Proceedings
of the 29th International Conference on Computational Linguistics, 2022, pp.
2927–2933.'
mla: 'Igamberdiev, Timour, et al. “DP-Rewrite: Towards Reproducibility and Transparency
in Differentially Private Text Rewriting.” Proceedings of the 29th International
Conference on Computational Linguistics, International Committee on Computational
Linguistics, 2022, pp. 2927–2933.'
short: 'T. Igamberdiev, T. Arnold, I. Habernal, in: Proceedings of the 29th International
Conference on Computational Linguistics, International Committee on Computational
Linguistics, Gyeongju, Republic of Korea, 2022, pp. 2927–2933.'
date_created: 2023-10-19T08:27:05Z
date_updated: 2023-10-19T12:04:57Z
department:
- _id: '34'
- _id: '820'
language:
- iso: eng
page: 2927–2933
place: Gyeongju, Republic of Korea
publication: Proceedings of the 29th International Conference on Computational Linguistics
publisher: International Committee on Computational Linguistics
status: public
title: 'DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private
Text Rewriting'
type: conference
user_id: '15504'
year: '2022'
...
---
_id: '48298'
author:
- first_name: Ivan
full_name: Habernal, Ivan
id: '101881'
last_name: Habernal
citation:
ama: 'Habernal I. How reparametrization trick broke differentially-private text
representation learning. In: Proceedings of the 60th Annual Meeting of the
Association for Computational Linguistics (Volume 2: Short Papers). Association
for Computational Linguistics; 2022. doi:10.18653/v1/2022.acl-short.87'
apa: 'Habernal, I. (2022). How reparametrization trick broke differentially-private
text representation learning. Proceedings of the 60th Annual Meeting of the
Association for Computational Linguistics (Volume 2: Short Papers). https://doi.org/10.18653/v1/2022.acl-short.87'
bibtex: '@inproceedings{Habernal_2022, title={How reparametrization trick broke
differentially-private text representation learning}, DOI={10.18653/v1/2022.acl-short.87},
booktitle={Proceedings of the 60th Annual Meeting of the Association for Computational
Linguistics (Volume 2: Short Papers)}, publisher={Association for Computational
Linguistics}, author={Habernal, Ivan}, year={2022} }'
chicago: 'Habernal, Ivan. “How Reparametrization Trick Broke Differentially-Private
Text Representation Learning.” In Proceedings of the 60th Annual Meeting of
the Association for Computational Linguistics (Volume 2: Short Papers). Association
for Computational Linguistics, 2022. https://doi.org/10.18653/v1/2022.acl-short.87.'
ieee: 'I. Habernal, “How reparametrization trick broke differentially-private text
representation learning,” 2022, doi: 10.18653/v1/2022.acl-short.87.'
mla: 'Habernal, Ivan. “How Reparametrization Trick Broke Differentially-Private
Text Representation Learning.” Proceedings of the 60th Annual Meeting of the
Association for Computational Linguistics (Volume 2: Short Papers), Association
for Computational Linguistics, 2022, doi:10.18653/v1/2022.acl-short.87.'
short: 'I. Habernal, in: Proceedings of the 60th Annual Meeting of the Association
for Computational Linguistics (Volume 2: Short Papers), Association for Computational
Linguistics, 2022.'
date_created: 2023-10-19T08:26:35Z
date_updated: 2023-10-19T12:05:39Z
department:
- _id: '34'
- _id: '820'
doi: 10.18653/v1/2022.acl-short.87
language:
- iso: eng
publication: 'Proceedings of the 60th Annual Meeting of the Association for Computational
Linguistics (Volume 2: Short Papers)'
publication_status: published
publisher: Association for Computational Linguistics
status: public
title: How reparametrization trick broke differentially-private text representation
learning
type: conference
user_id: '15504'
year: '2022'
...
---
_id: '35126'
author:
- first_name: Nikolas
full_name: Förster, Nikolas
id: '83383'
last_name: Förster
- first_name: Jonas
full_name: Hölscher, Jonas
last_name: Hölscher
- first_name: Till
full_name: Piepenbrock, Till
last_name: Piepenbrock
- first_name: Philipp
full_name: Rehlaender, Philipp
id: '69469'
last_name: Rehlaender
- first_name: Oliver
full_name: Wallscheid, Oliver
id: '11291'
last_name: Wallscheid
orcid: https://orcid.org/0000-0001-9362-8777
- first_name: Frank
full_name: Schafmeister, Frank
id: '71291'
last_name: Schafmeister
- first_name: Joachim
full_name: Böcker, Joachim
id: '66'
last_name: Böcker
orcid: 0000-0002-8480-7295
citation:
ama: 'Förster N, Hölscher J, Piepenbrock T, et al. An Open-Source FEM Magnetic Toolbox
for Calculating Electric and Thermal Behavior of Power Electronic Magnetic Components.
In: 2022 24th European Conference on Power Electronics and Applications (EPE’22
ECCE Europe). ; 2022:P.1-P.9.'
apa: Förster, N., Hölscher, J., Piepenbrock, T., Rehlaender, P., Wallscheid, O.,
Schafmeister, F., & Böcker, J. (2022). An Open-Source FEM Magnetic Toolbox
for Calculating Electric and Thermal Behavior of Power Electronic Magnetic Components.
2022 24th European Conference on Power Electronics and Applications (EPE’22
ECCE Europe), P.1-P.9.
bibtex: '@inproceedings{Förster_Hölscher_Piepenbrock_Rehlaender_Wallscheid_Schafmeister_Böcker_2022,
title={An Open-Source FEM Magnetic Toolbox for Calculating Electric and Thermal
Behavior of Power Electronic Magnetic Components}, booktitle={2022 24th European
Conference on Power Electronics and Applications (EPE’22 ECCE Europe)}, author={Förster,
Nikolas and Hölscher, Jonas and Piepenbrock, Till and Rehlaender, Philipp and
Wallscheid, Oliver and Schafmeister, Frank and Böcker, Joachim}, year={2022},
pages={P.1-P.9} }'
chicago: Förster, Nikolas, Jonas Hölscher, Till Piepenbrock, Philipp Rehlaender,
Oliver Wallscheid, Frank Schafmeister, and Joachim Böcker. “An Open-Source FEM
Magnetic Toolbox for Calculating Electric and Thermal Behavior of Power Electronic
Magnetic Components.” In 2022 24th European Conference on Power Electronics
and Applications (EPE’22 ECCE Europe), P.1-P.9, 2022.
ieee: N. Förster et al., “An Open-Source FEM Magnetic Toolbox for Calculating
Electric and Thermal Behavior of Power Electronic Magnetic Components,” in 2022
24th European Conference on Power Electronics and Applications (EPE’22 ECCE Europe),
2022, p. P.1-P.9.
mla: Förster, Nikolas, et al. “An Open-Source FEM Magnetic Toolbox for Calculating
Electric and Thermal Behavior of Power Electronic Magnetic Components.” 2022
24th European Conference on Power Electronics and Applications (EPE’22 ECCE Europe),
2022, p. P.1-P.9.
short: 'N. Förster, J. Hölscher, T. Piepenbrock, P. Rehlaender, O. Wallscheid, F.
Schafmeister, J. Böcker, in: 2022 24th European Conference on Power Electronics
and Applications (EPE’22 ECCE Europe), 2022, p. P.1-P.9.'
date_created: 2023-01-03T08:56:48Z
date_updated: 2023-10-20T11:39:27Z
department:
- _id: '52'
language:
- iso: eng
page: P.1-P.9
publication: 2022 24th European Conference on Power Electronics and Applications (EPE’22
ECCE Europe)
status: public
title: An Open-Source FEM Magnetic Toolbox for Calculating Electric and Thermal Behavior
of Power Electronic Magnetic Components
type: conference
user_id: '83383'
year: '2022'
...
---
_id: '30863'
abstract:
- lang: eng
text: "Abstract\r\n In this paper
a measurement procedure to identify viscoelastic material parameters of plate-like
samples using broadband ultrasonic waves is presented. Ultrasonic Lamb waves are
excited via the thermoelastic effect using laser radiation and detected by a piezoelectric
transducer. The resulting measurement data is transformed to yield information
about multiple propagating Lamb waves as well as their attenuation. These results
are compared to simulation results in an inverse procedure to identify the parameters
of an elastic and a viscoelastic material model."
author:
- first_name: Sarah
full_name: Johannesmann, Sarah
id: '29190'
last_name: Johannesmann
- first_name: Leander
full_name: Claes, Leander
id: '11829'
last_name: Claes
orcid: 0000-0002-4393-268X
- first_name: Nadine
full_name: Feldmann, Nadine
id: '23082'
last_name: Feldmann
- first_name: Henning
full_name: Zeipert, Henning
id: '32580'
last_name: Zeipert
- first_name: Bernd
full_name: Henning, Bernd
id: '213'
last_name: Henning
citation:
ama: Johannesmann S, Claes L, Feldmann N, Zeipert H, Henning B. Lamb wave based
approach to the determination of acoustic material parameters. tm - Technisches
Messen. 2022;89(7-8):493-506. doi:10.1515/teme-2021-0134
apa: Johannesmann, S., Claes, L., Feldmann, N., Zeipert, H., & Henning, B. (2022).
Lamb wave based approach to the determination of acoustic material parameters.
Tm - Technisches Messen, 89(7–8), 493–506. https://doi.org/10.1515/teme-2021-0134
bibtex: '@article{Johannesmann_Claes_Feldmann_Zeipert_Henning_2022, title={Lamb
wave based approach to the determination of acoustic material parameters}, volume={89},
DOI={10.1515/teme-2021-0134},
number={7–8}, journal={tm - Technisches Messen}, publisher={Walter de Gruyter
GmbH}, author={Johannesmann, Sarah and Claes, Leander and Feldmann, Nadine and
Zeipert, Henning and Henning, Bernd}, year={2022}, pages={493–506} }'
chicago: 'Johannesmann, Sarah, Leander Claes, Nadine Feldmann, Henning Zeipert,
and Bernd Henning. “Lamb Wave Based Approach to the Determination of Acoustic
Material Parameters.” Tm - Technisches Messen 89, no. 7–8 (2022): 493–506.
https://doi.org/10.1515/teme-2021-0134.'
ieee: 'S. Johannesmann, L. Claes, N. Feldmann, H. Zeipert, and B. Henning, “Lamb
wave based approach to the determination of acoustic material parameters,” tm
- Technisches Messen, vol. 89, no. 7–8, pp. 493–506, 2022, doi: 10.1515/teme-2021-0134.'
mla: Johannesmann, Sarah, et al. “Lamb Wave Based Approach to the Determination
of Acoustic Material Parameters.” Tm - Technisches Messen, vol. 89, no.
7–8, Walter de Gruyter GmbH, 2022, pp. 493–506, doi:10.1515/teme-2021-0134.
short: S. Johannesmann, L. Claes, N. Feldmann, H. Zeipert, B. Henning, Tm - Technisches
Messen 89 (2022) 493–506.
date_created: 2022-04-12T11:00:22Z
date_updated: 2023-10-23T06:56:20Z
department:
- _id: '49'
doi: 10.1515/teme-2021-0134
intvolume: ' 89'
issue: 7 - 8
keyword:
- Electrical and Electronic Engineering
- Instrumentation
language:
- iso: eng
page: 493 - 506
project:
- _id: '52'
name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing'
- _id: '105'
grant_number: '449607253'
name: 'LaWaMoRe: Vermiedene Kreuzungen von Lamb-Wellenmoden in mehrlagigen Strukturen'
- _id: '89'
grant_number: '409779252'
name: 'VaMP: Vollständige Bestimmung der akustischen Materialparameter von Polymeren'
- _id: '157'
grant_number: '495847374'
name: 'FaMOUS: Ein ultraschallbasiertes Messverfahren unter Berücksichtigung viskoelastischer
Eigenschaften zur Charakterisierung der Faser-Matrix-Haftung bei Organoblechen
sowie deren realitätsnahe Modellierung'
publication: tm - Technisches Messen
publication_identifier:
issn:
- 2196-7113
- 0171-8096
publication_status: published
publisher: Walter de Gruyter GmbH
quality_controlled: '1'
status: public
title: Lamb wave based approach to the determination of acoustic material parameters
type: journal_article
user_id: '11829'
volume: 89
year: '2022'
...
---
_id: '6588'
author:
- first_name: Sarah
full_name: Johannesmann, Sarah
id: '29190'
last_name: Johannesmann
- first_name: Leander
full_name: Claes, Leander
id: '11829'
last_name: Claes
orcid: 0000-0002-4393-268X
- first_name: Bernd
full_name: Henning, Bernd
id: '213'
last_name: Henning
citation:
ama: 'Johannesmann S, Claes L, Henning B. Estimation of viscoelastic material parameters
of polymers using Lamb waves. In: Fortschritte Der Akustik - DAGA 2022.
; 2022:1401-1404.'
apa: Johannesmann, S., Claes, L., & Henning, B. (2022). Estimation of viscoelastic
material parameters of polymers using Lamb waves. Fortschritte Der Akustik
- DAGA 2022, 1401–1404.
bibtex: '@inproceedings{Johannesmann_Claes_Henning_2022, title={Estimation of viscoelastic
material parameters of polymers using Lamb waves}, booktitle={Fortschritte der
Akustik - DAGA 2022}, author={Johannesmann, Sarah and Claes, Leander and Henning,
Bernd}, year={2022}, pages={1401–1404} }'
chicago: Johannesmann, Sarah, Leander Claes, and Bernd Henning. “Estimation of Viscoelastic
Material Parameters of Polymers Using Lamb Waves.” In Fortschritte Der Akustik
- DAGA 2022, 1401–4, 2022.
ieee: S. Johannesmann, L. Claes, and B. Henning, “Estimation of viscoelastic material
parameters of polymers using Lamb waves,” in Fortschritte der Akustik - DAGA
2022, Stuttgart, 2022, pp. 1401–1404.
mla: Johannesmann, Sarah, et al. “Estimation of Viscoelastic Material Parameters
of Polymers Using Lamb Waves.” Fortschritte Der Akustik - DAGA 2022, 2022,
pp. 1401–04.
short: 'S. Johannesmann, L. Claes, B. Henning, in: Fortschritte Der Akustik - DAGA
2022, 2022, pp. 1401–1404.'
conference:
end_date: 2022-03-24
location: Stuttgart
name: DAGA 2022 - 48. Jahrestagung für Akustik
start_date: 2022-03-21
date_created: 2019-01-09T15:59:54Z
date_updated: 2023-10-23T06:58:41Z
ddc:
- '620'
department:
- _id: '49'
file:
- access_level: closed
content_type: application/pdf
creator: leanderc
date_created: 2022-03-28T14:39:01Z
date_updated: 2022-03-28T14:39:01Z
file_id: '30668'
file_name: daga2022_joh.pdf
file_size: 1104577
relation: main_file
success: 1
file_date_updated: 2022-03-28T14:39:01Z
has_accepted_license: '1'
language:
- iso: eng
page: 1401-1404
project:
- _id: '89'
grant_number: '409779252'
name: 'VaMP: Vollständige Bestimmung der akustischen Materialparameter von Polymeren'
- _id: '105'
grant_number: '449607253'
name: 'LaWaMoRe: Vermiedene Kreuzungen von Lamb-Wellenmoden in mehrlagigen Strukturen'
- _id: '157'
grant_number: '495847374'
name: 'FaMOUS: Ein ultraschallbasiertes Messverfahren unter Berücksichtigung viskoelastischer
Eigenschaften zur Charakterisierung der Faser-Matrix-Haftung bei Organoblechen
sowie deren realitätsnahe Modellierung'
publication: Fortschritte der Akustik - DAGA 2022
status: public
title: Estimation of viscoelastic material parameters of polymers using Lamb waves
type: conference
user_id: '11829'
year: '2022'
...
---
_id: '6560'
author:
- first_name: Sarah
full_name: Johannesmann, Sarah
id: '29190'
last_name: Johannesmann
citation:
ama: Johannesmann S. Inverses Verfahren Zur Bestimmung Viskoelastischer Materialparameter.;
2022.
apa: Johannesmann, S. (2022). Inverses Verfahren zur Bestimmung viskoelastischer
Materialparameter.
bibtex: '@book{Johannesmann_2022, place={Workshop “Messtechnische Anwendungen von
Ultraschall”, Drübeck}, title={Inverses Verfahren zur Bestimmung viskoelastischer
Materialparameter}, author={Johannesmann, Sarah}, year={2022} }'
chicago: Johannesmann, Sarah. Inverses Verfahren Zur Bestimmung Viskoelastischer
Materialparameter. Workshop “Messtechnische Anwendungen von Ultraschall”,
Drübeck, 2022.
ieee: S. Johannesmann, Inverses Verfahren zur Bestimmung viskoelastischer Materialparameter.
Workshop “Messtechnische Anwendungen von Ultraschall”, Drübeck, 2022.
mla: Johannesmann, Sarah. Inverses Verfahren Zur Bestimmung Viskoelastischer
Materialparameter. 2022.
short: S. Johannesmann, Inverses Verfahren Zur Bestimmung Viskoelastischer Materialparameter,
Workshop “Messtechnische Anwendungen von Ultraschall”, Drübeck, 2022.
date_created: 2019-01-09T14:37:07Z
date_updated: 2023-10-23T06:58:06Z
department:
- _id: '49'
language:
- iso: eng
place: Workshop "Messtechnische Anwendungen von Ultraschall", Drübeck
project:
- _id: '52'
name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing'
- _id: '157'
grant_number: '495847374'
name: 'FaMOUS: Ein ultraschallbasiertes Messverfahren unter Berücksichtigung viskoelastischer
Eigenschaften zur Charakterisierung der Faser-Matrix-Haftung bei Organoblechen
sowie deren realitätsnahe Modellierung'
status: public
title: Inverses Verfahren zur Bestimmung viskoelastischer Materialparameter
type: misc
user_id: '11829'
year: '2022'
...