---
_id: '22466'
author:
- first_name: Dorothee
full_name: Meister, Dorothee
id: '346'
last_name: Meister
- first_name: Ilka
full_name: Mindt, Ilka
id: '32079'
last_name: Mindt
citation:
ama: 'Meister D, Mindt I. Einleitung. In: Mobile Medien im Schulkontext.
Vol 41. Medienbildung und Gesellschaft. Wiesbaden: Springer VS; 2020:1-6. doi:10.1007/978-3-658-29039-9'
apa: 'Meister, D., & Mindt, I. (2020). Einleitung. In Mobile Medien im Schulkontext
(Vol. 41, pp. 1–6). Wiesbaden: Springer VS. https://doi.org/10.1007/978-3-658-29039-9'
bibtex: '@inbook{Meister_Mindt_2020, place={Wiesbaden}, series={Medienbildung und
Gesellschaft}, title={Einleitung}, volume={41}, DOI={10.1007/978-3-658-29039-9},
booktitle={Mobile Medien im Schulkontext}, publisher={Springer VS}, author={Meister,
Dorothee and Mindt, Ilka}, year={2020}, pages={1–6}, collection={Medienbildung
und Gesellschaft} }'
chicago: 'Meister, Dorothee, and Ilka Mindt. “Einleitung.” In Mobile Medien im
Schulkontext, 41:1–6. Medienbildung und Gesellschaft. Wiesbaden: Springer
VS, 2020. https://doi.org/10.1007/978-3-658-29039-9.'
ieee: 'D. Meister and I. Mindt, “Einleitung,” in Mobile Medien im Schulkontext,
vol. 41, Wiesbaden: Springer VS, 2020, pp. 1–6.'
mla: Meister, Dorothee, and Ilka Mindt. “Einleitung.” Mobile Medien im Schulkontext,
vol. 41, Springer VS, 2020, pp. 1–6, doi:10.1007/978-3-658-29039-9.
short: 'D. Meister, I. Mindt, in: Mobile Medien im Schulkontext, Springer VS, Wiesbaden,
2020, pp. 1–6.'
date_created: 2021-06-18T10:53:48Z
date_updated: 2022-01-06T06:55:33Z
department:
- _id: '1'
- _id: '384'
doi: 10.1007/978-3-658-29039-9
intvolume: ' 41'
language:
- iso: ger
page: 1-6
place: Wiesbaden
publication: Mobile Medien im Schulkontext
publication_identifier:
isbn:
- 978-3-658-29038-2
publication_status: published
publisher: Springer VS
series_title: Medienbildung und Gesellschaft
status: public
title: Einleitung
type: book_chapter
user_id: '32079'
volume: 41
year: '2020'
...
---
_id: '22493'
abstract:
- lang: ger
text: "Federkraftbremsen für industrielle Anwendungen tragen häufig zur Erfüllung
einer Sicherheitsfunktion bei. Um Sicherheitsfunktionen zu validieren, sind Sicherheitskennzahlen
einzelner Elemente erforderlich. Für Federkraftbremsen werden diese bis dato nur
vereinzelt zur Verfügung gestellt. Weiterhin existiert kein Konsens über deren
Ermittlung.\r\nIn dieser Arbeit wird ein bauteilorientierter Ansatz zur Ermittlung
von Sicherheitskennzahlen für Federkraftbremsen diskutiert. Unter Berücksichtigung
relevanter rechtlich-normativer Rahmenbedingungen wird eine qualitative Zuverlässigkeitsanalyse
durchgeführt. Es folgt die simulative und experimentelle Untersuchung einer konkreten
Bauteilschadensart. Abschließend wird ein Zuverlässigkeitsblockdiagramm auf Grundlage
gewonnener Erkenntnisse hergeleitet."
author:
- first_name: Christoph
full_name: Hübner, Christoph
last_name: Hübner
citation:
ama: 'Hübner C. Beitrag zur Bewertung der funktionalen Sicherheit von Federkraftbremsen.
Düren: Shaker Verlag GmbH; 2020.'
apa: 'Hübner, C. (2020). Beitrag zur Bewertung der funktionalen Sicherheit von
Federkraftbremsen. Düren: Shaker Verlag GmbH.'
bibtex: '@book{Hübner_2020, place={Düren}, title={Beitrag zur Bewertung der funktionalen
Sicherheit von Federkraftbremsen}, publisher={Shaker Verlag GmbH}, author={Hübner,
Christoph}, year={2020} }'
chicago: 'Hübner, Christoph. Beitrag zur Bewertung der funktionalen Sicherheit
von Federkraftbremsen. Düren: Shaker Verlag GmbH, 2020.'
ieee: 'C. Hübner, Beitrag zur Bewertung der funktionalen Sicherheit von Federkraftbremsen.
Düren: Shaker Verlag GmbH, 2020.'
mla: Hübner, Christoph. Beitrag zur Bewertung der funktionalen Sicherheit von
Federkraftbremsen. Shaker Verlag GmbH, 2020.
short: C. Hübner, Beitrag zur Bewertung der funktionalen Sicherheit von Federkraftbremsen,
Shaker Verlag GmbH, Düren, 2020.
date_created: 2021-06-21T12:54:30Z
date_updated: 2022-01-06T06:55:34Z
department:
- _id: '9'
- _id: '146'
keyword:
- Federkraftbremsen
- Funktionale Sicherheit
- Technische Zuverlässigkeit
- Verschleiß
language:
- iso: ger
place: Düren
publication_identifier:
isbn:
- 978-3-8440-7889-3
publisher: Shaker Verlag GmbH
status: public
title: Beitrag zur Bewertung der funktionalen Sicherheit von Federkraftbremsen
type: dissertation
user_id: '38077'
year: '2020'
...
---
_id: '22501'
abstract:
- lang: eng
text: Elektromechanische Spindelhubantriebe werden in einer Vielzahl von unterschiedlichen
Anwendungen mit jeweils spezifischen Prozesskennwerten eingesetzt. Dabei kann
es vorkommen, dass das dynamische Betriebsverhalten eines Spindelhubantriebs unerwünschte
Schwingungen aufweist. Um unerwünschte Betriebszustände bereits vor dem realen
Anwendungsfall ersichtlich zu machen, wird im Rahmen dieser Arbeit ein Simulationsmodell
von Spindelhubantrieben mit Trapezgewindespindel entwickelt. Dazu wird zunächst
recherchiert, welche Schwingungsphänomene in einem Spindelhubantrieb entstehen
können. Die Modellbildung wird durch eine Verifikation anhand der identifizierten
Schwingphänomene begleitet. Im Anschluss erfolgt eine Validierung des Simulationsmodells
durch experimentelle Messungen. Mittels einer Parameterstudie werden Einflussgrößen
von zwei Schwingphänomenen analysiert. Die erzielten Erkenntnisse werden anschließend
erfolgreich auf ein zuvor schwingungsanfälliges Antriebssystem zugunsten eines
stabilen, dynamischen Betriebsverhaltens übertragen, wodurch die Gültigkeit des
Modells nachgewiesen wird.
author:
- first_name: Johannes
full_name: Tominski, Johannes
last_name: Tominski
citation:
ama: Tominski J. Entwurf Eines Simulationsmodells Zur Beurteilung Und Beeinflussung
Des Dynamischen Betriebsverhalten von Spindelhubantrieben Mit Trapezgewindespindel.
Shaker Verlag GmbH; 2020.
apa: Tominski, J. (2020). Entwurf eines Simulationsmodells zur Beurteilung und
Beeinflussung des dynamischen Betriebsverhalten von Spindelhubantrieben mit Trapezgewindespindel.
Shaker Verlag GmbH.
bibtex: '@book{Tominski_2020, title={Entwurf eines Simulationsmodells zur Beurteilung
und Beeinflussung des dynamischen Betriebsverhalten von Spindelhubantrieben mit
Trapezgewindespindel}, publisher={Shaker Verlag GmbH}, author={Tominski, Johannes},
year={2020} }'
chicago: Tominski, Johannes. Entwurf Eines Simulationsmodells Zur Beurteilung
Und Beeinflussung Des Dynamischen Betriebsverhalten von Spindelhubantrieben Mit
Trapezgewindespindel. Shaker Verlag GmbH, 2020.
ieee: J. Tominski, Entwurf eines Simulationsmodells zur Beurteilung und Beeinflussung
des dynamischen Betriebsverhalten von Spindelhubantrieben mit Trapezgewindespindel.
Shaker Verlag GmbH, 2020.
mla: Tominski, Johannes. Entwurf Eines Simulationsmodells Zur Beurteilung Und
Beeinflussung Des Dynamischen Betriebsverhalten von Spindelhubantrieben Mit Trapezgewindespindel.
Shaker Verlag GmbH, 2020.
short: J. Tominski, Entwurf Eines Simulationsmodells Zur Beurteilung Und Beeinflussung
Des Dynamischen Betriebsverhalten von Spindelhubantrieben Mit Trapezgewindespindel,
Shaker Verlag GmbH, 2020.
date_created: 2021-06-21T13:33:11Z
date_updated: 2022-01-06T06:55:35Z
department:
- _id: '9'
- _id: '146'
language:
- iso: eng
publication_identifier:
isbn:
- 978-3-8440-7499-4
publisher: Shaker Verlag GmbH
status: public
title: Entwurf eines Simulationsmodells zur Beurteilung und Beeinflussung des dynamischen
Betriebsverhalten von Spindelhubantrieben mit Trapezgewindespindel
type: dissertation
user_id: '38077'
year: '2020'
...
---
_id: '22963'
author:
- first_name: Patrick
full_name: Biemelt, Patrick
id: '24876'
last_name: Biemelt
- first_name: Sandra
full_name: Gausemeier, Sandra
id: '17793'
last_name: Gausemeier
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
citation:
ama: Biemelt P, Gausemeier S, Trächtler A. Design and Objective Evaluation of Filter-
and Optimization-based Motion Cueing Strategies for a Hybrid Kinematics Driving
Simulator with 5 Degrees of Freedom. International Journal On Advances in Systems
and Measurements. 2020;13(3 & 4):203-219.
apa: Biemelt, P., Gausemeier, S., & Trächtler, A. (2020). Design and Objective
Evaluation of Filter- and Optimization-based Motion Cueing Strategies for a Hybrid
Kinematics Driving Simulator with 5 Degrees of Freedom. International Journal
On Advances in Systems and Measurements, 13(3 & 4), 203–219.
bibtex: '@article{Biemelt_Gausemeier_Trächtler_2020, title={Design and Objective
Evaluation of Filter- and Optimization-based Motion Cueing Strategies for a Hybrid
Kinematics Driving Simulator with 5 Degrees of Freedom}, volume={13}, number={3
& 4}, journal={International Journal On Advances in Systems and Measurements},
author={Biemelt, Patrick and Gausemeier, Sandra and Trächtler, Ansgar}, year={2020},
pages={203–219} }'
chicago: 'Biemelt, Patrick, Sandra Gausemeier, and Ansgar Trächtler. “Design and
Objective Evaluation of Filter- and Optimization-Based Motion Cueing Strategies
for a Hybrid Kinematics Driving Simulator with 5 Degrees of Freedom.” International
Journal On Advances in Systems and Measurements 13, no. 3 & 4 (2020):
203–19.'
ieee: P. Biemelt, S. Gausemeier, and A. Trächtler, “Design and Objective Evaluation
of Filter- and Optimization-based Motion Cueing Strategies for a Hybrid Kinematics
Driving Simulator with 5 Degrees of Freedom,” International Journal On Advances
in Systems and Measurements, vol. 13, no. 3 & 4, pp. 203–219, 2020.
mla: Biemelt, Patrick, et al. “Design and Objective Evaluation of Filter- and Optimization-Based
Motion Cueing Strategies for a Hybrid Kinematics Driving Simulator with 5 Degrees
of Freedom.” International Journal On Advances in Systems and Measurements,
vol. 13, no. 3 & 4, 2020, pp. 203–19.
short: P. Biemelt, S. Gausemeier, A. Trächtler, International Journal On Advances
in Systems and Measurements 13 (2020) 203–219.
date_created: 2021-08-09T05:16:48Z
date_updated: 2022-01-06T06:55:44Z
department:
- _id: '153'
intvolume: ' 13'
issue: 3 & 4
language:
- iso: eng
page: 203-219
publication: International Journal On Advances in Systems and Measurements
status: public
title: Design and Objective Evaluation of Filter- and Optimization-based Motion Cueing
Strategies for a Hybrid Kinematics Driving Simulator with 5 Degrees of Freedom
type: journal_article
user_id: '24876'
volume: 13
year: '2020'
...
---
_id: '22964'
author:
- first_name: Patrick
full_name: Biemelt, Patrick
id: '24876'
last_name: Biemelt
- first_name: Sven
full_name: Mertin, Sven
id: '13195'
last_name: Mertin
- first_name: Nico
full_name: Rüddenklau, Nico
id: '22359'
last_name: Rüddenklau
- first_name: Sandra
full_name: Gausemeier, Sandra
id: '17793'
last_name: Gausemeier
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
citation:
ama: 'Biemelt P, Mertin S, Rüddenklau N, Gausemeier S, Trächtler A. Design and Evaluation
of a Novel Filter-Based Motion Cueing Strategy for a Hybrid Kinematics Driving
Simulator with 5 Degrees of Freedom. In: Proceedings of the Driving Simulation
Conference Europe VR. Driving Simulation Association; 2020:85-92.'
apa: Biemelt, P., Mertin, S., Rüddenklau, N., Gausemeier, S., & Trächtler, A.
(2020). Design and Evaluation of a Novel Filter-Based Motion Cueing Strategy for
a Hybrid Kinematics Driving Simulator with 5 Degrees of Freedom. Proceedings
of the Driving Simulation Conference Europe VR, 85–92.
bibtex: '@inproceedings{Biemelt_Mertin_Rüddenklau_Gausemeier_Trächtler_2020, title={Design
and Evaluation of a Novel Filter-Based Motion Cueing Strategy for a Hybrid Kinematics
Driving Simulator with 5 Degrees of Freedom}, booktitle={Proceedings of the Driving
Simulation Conference Europe VR}, publisher={Driving Simulation Association},
author={Biemelt, Patrick and Mertin, Sven and Rüddenklau, Nico and Gausemeier,
Sandra and Trächtler, Ansgar}, year={2020}, pages={85–92} }'
chicago: Biemelt, Patrick, Sven Mertin, Nico Rüddenklau, Sandra Gausemeier, and
Ansgar Trächtler. “Design and Evaluation of a Novel Filter-Based Motion Cueing
Strategy for a Hybrid Kinematics Driving Simulator with 5 Degrees of Freedom.”
In Proceedings of the Driving Simulation Conference Europe VR, 85–92. Driving
Simulation Association, 2020.
ieee: P. Biemelt, S. Mertin, N. Rüddenklau, S. Gausemeier, and A. Trächtler, “Design
and Evaluation of a Novel Filter-Based Motion Cueing Strategy for a Hybrid Kinematics
Driving Simulator with 5 Degrees of Freedom,” in Proceedings of the Driving
Simulation Conference Europe VR, Antibes, France, 2020, pp. 85–92.
mla: Biemelt, Patrick, et al. “Design and Evaluation of a Novel Filter-Based Motion
Cueing Strategy for a Hybrid Kinematics Driving Simulator with 5 Degrees of Freedom.”
Proceedings of the Driving Simulation Conference Europe VR, Driving Simulation
Association, 2020, pp. 85–92.
short: 'P. Biemelt, S. Mertin, N. Rüddenklau, S. Gausemeier, A. Trächtler, in: Proceedings
of the Driving Simulation Conference Europe VR, Driving Simulation Association,
2020, pp. 85–92.'
conference:
location: Antibes, France
name: Driving Simulation Conference Europe VR
date_created: 2021-08-09T05:16:49Z
date_updated: 2022-01-06T06:55:44Z
department:
- _id: '153'
language:
- iso: eng
page: 85-92
publication: Proceedings of the Driving Simulation Conference Europe VR
publisher: Driving Simulation Association
status: public
title: Design and Evaluation of a Novel Filter-Based Motion Cueing Strategy for a
Hybrid Kinematics Driving Simulator with 5 Degrees of Freedom
type: conference
user_id: '24876'
year: '2020'
...
---
_id: '22966'
author:
- first_name: Sven
full_name: Mertin, Sven
id: '13195'
last_name: Mertin
- first_name: Kevin
full_name: Malena, Kevin
id: '36303'
last_name: Malena
- first_name: Christopher
full_name: Link, Christopher
id: '38249'
last_name: Link
- first_name: Sandra
full_name: Gausemeier, Sandra
id: '17793'
last_name: Gausemeier
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
citation:
ama: 'Mertin S, Malena K, Link C, Gausemeier S, Trächtler A. Macroscopic Traffic
Flow Control using Consensus Algorithms. In: The 23rd IEEE International Conference
on Intelligent Transportation Systems. Vol 23. https://www.ieee-itsc2020.org/:
International Conference on Intelligent Transportation Systems (ITSC); 2020.'
apa: 'Mertin, S., Malena, K., Link, C., Gausemeier, S., & Trächtler, A. (2020).
Macroscopic Traffic Flow Control using Consensus Algorithms. In The 23rd IEEE
International Conference on Intelligent Transportation Systems (Vol. 23).
https://www.ieee-itsc2020.org/: International Conference on Intelligent Transportation
Systems (ITSC).'
bibtex: '@inproceedings{Mertin_Malena_Link_Gausemeier_Trächtler_2020, place={https://www.ieee-itsc2020.org/},
title={Macroscopic Traffic Flow Control using Consensus Algorithms}, volume={23},
booktitle={The 23rd IEEE International Conference on Intelligent Transportation
Systems}, publisher={International Conference on Intelligent Transportation Systems
(ITSC)}, author={Mertin, Sven and Malena, Kevin and Link, Christopher and Gausemeier,
Sandra and Trächtler, Ansgar}, year={2020} }'
chicago: 'Mertin, Sven, Kevin Malena, Christopher Link, Sandra Gausemeier, and Ansgar
Trächtler. “Macroscopic Traffic Flow Control Using Consensus Algorithms.” In The
23rd IEEE International Conference on Intelligent Transportation Systems,
Vol. 23. https://www.ieee-itsc2020.org/: International Conference on Intelligent
Transportation Systems (ITSC), 2020.'
ieee: S. Mertin, K. Malena, C. Link, S. Gausemeier, and A. Trächtler, “Macroscopic
Traffic Flow Control using Consensus Algorithms,” in The 23rd IEEE International
Conference on Intelligent Transportation Systems, 2020, vol. 23.
mla: Mertin, Sven, et al. “Macroscopic Traffic Flow Control Using Consensus Algorithms.”
The 23rd IEEE International Conference on Intelligent Transportation Systems,
vol. 23, International Conference on Intelligent Transportation Systems (ITSC),
2020.
short: 'S. Mertin, K. Malena, C. Link, S. Gausemeier, A. Trächtler, in: The 23rd
IEEE International Conference on Intelligent Transportation Systems, International
Conference on Intelligent Transportation Systems (ITSC), https://www.ieee-itsc2020.org/,
2020.'
date_created: 2021-08-09T05:16:51Z
date_updated: 2022-01-06T06:55:44Z
department:
- _id: '153'
intvolume: ' 23'
language:
- iso: eng
place: https://www.ieee-itsc2020.org/
publication: The 23rd IEEE International Conference on Intelligent Transportation
Systems
publisher: International Conference on Intelligent Transportation Systems (ITSC)
status: public
title: Macroscopic Traffic Flow Control using Consensus Algorithms
type: conference
user_id: '24876'
volume: 23
year: '2020'
...
---
_id: '22967'
author:
- first_name: Georgi
full_name: Nareyko, Georgi
last_name: Nareyko
- first_name: Patrick
full_name: Biemelt, Patrick
id: '24876'
last_name: Biemelt
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
citation:
ama: 'Nareyko G, Biemelt P, Trächtler A. Real-Time Optimized Model Predictive Control
of an Active Roll Stabilization System with Actuator Limitations. In: Proceedings
of the 21st IFAC World Congress. IFAC; 2020.'
apa: Nareyko, G., Biemelt, P., & Trächtler, A. (2020). Real-Time Optimized Model
Predictive Control of an Active Roll Stabilization System with Actuator Limitations.
Proceedings of the 21st IFAC World Congress. 21st IFAC World Congress,
Berlin, Germany.
bibtex: '@inproceedings{Nareyko_Biemelt_Trächtler_2020, title={Real-Time Optimized
Model Predictive Control of an Active Roll Stabilization System with Actuator
Limitations}, booktitle={Proceedings of the 21st IFAC World Congress}, publisher={IFAC},
author={Nareyko, Georgi and Biemelt, Patrick and Trächtler, Ansgar}, year={2020}
}'
chicago: Nareyko, Georgi, Patrick Biemelt, and Ansgar Trächtler. “Real-Time Optimized
Model Predictive Control of an Active Roll Stabilization System with Actuator
Limitations.” In Proceedings of the 21st IFAC World Congress. IFAC, 2020.
ieee: G. Nareyko, P. Biemelt, and A. Trächtler, “Real-Time Optimized Model Predictive
Control of an Active Roll Stabilization System with Actuator Limitations,” presented
at the 21st IFAC World Congress, Berlin, Germany, 2020.
mla: Nareyko, Georgi, et al. “Real-Time Optimized Model Predictive Control of an
Active Roll Stabilization System with Actuator Limitations.” Proceedings of
the 21st IFAC World Congress, IFAC, 2020.
short: 'G. Nareyko, P. Biemelt, A. Trächtler, in: Proceedings of the 21st IFAC World
Congress, IFAC, 2020.'
conference:
location: Berlin, Germany
name: 21st IFAC World Congress
date_created: 2021-08-09T05:16:52Z
date_updated: 2022-01-06T06:55:44Z
department:
- _id: '153'
language:
- iso: eng
publication: Proceedings of the 21st IFAC World Congress
publisher: IFAC
status: public
title: Real-Time Optimized Model Predictive Control of an Active Roll Stabilization
System with Actuator Limitations
type: conference
user_id: '24876'
year: '2020'
...
---
_id: '22968'
author:
- first_name: Patrick
full_name: Biemelt, Patrick
id: '24876'
last_name: Biemelt
- first_name: Christopher
full_name: Link, Christopher
id: '38249'
last_name: Link
- first_name: Sandra
full_name: Gausemeier, Sandra
id: '17793'
last_name: Gausemeier
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
citation:
ama: 'Biemelt P, Link C, Gausemeier S, Trächtler A. A Model-Based Online Reference
Prediction Strategy for Model Predictive Motion Cueing Algorithms. In: Proceedings
of the 21st IFAC World Congress. ; 2020:6082-6088.'
apa: Biemelt, P., Link, C., Gausemeier, S., & Trächtler, A. (2020). A Model-Based
Online Reference Prediction Strategy for Model Predictive Motion Cueing Algorithms.
Proceedings of the 21st IFAC World Congress, 6082–6088.
bibtex: '@inproceedings{Biemelt_Link_Gausemeier_Trächtler_2020, title={A Model-Based
Online Reference Prediction Strategy for Model Predictive Motion Cueing Algorithms},
booktitle={Proceedings of the 21st IFAC World Congress}, author={Biemelt, Patrick
and Link, Christopher and Gausemeier, Sandra and Trächtler, Ansgar}, year={2020},
pages={6082–6088} }'
chicago: Biemelt, Patrick, Christopher Link, Sandra Gausemeier, and Ansgar Trächtler.
“A Model-Based Online Reference Prediction Strategy for Model Predictive Motion
Cueing Algorithms.” In Proceedings of the 21st IFAC World Congress, 6082–88,
2020.
ieee: P. Biemelt, C. Link, S. Gausemeier, and A. Trächtler, “A Model-Based Online
Reference Prediction Strategy for Model Predictive Motion Cueing Algorithms,”
in Proceedings of the 21st IFAC World Congress, Berlin, Germany, 2020,
pp. 6082–6088.
mla: Biemelt, Patrick, et al. “A Model-Based Online Reference Prediction Strategy
for Model Predictive Motion Cueing Algorithms.” Proceedings of the 21st IFAC
World Congress, 2020, pp. 6082–88.
short: 'P. Biemelt, C. Link, S. Gausemeier, A. Trächtler, in: Proceedings of the
21st IFAC World Congress, 2020, pp. 6082–6088.'
conference:
location: Berlin, Germany
name: 21st IFAC World Congress
date_created: 2021-08-09T05:16:54Z
date_updated: 2022-01-06T06:55:44Z
department:
- _id: '153'
language:
- iso: eng
page: 6082 - 6088
publication: Proceedings of the 21st IFAC World Congress
status: public
title: A Model-Based Online Reference Prediction Strategy for Model Predictive Motion
Cueing Algorithms
type: conference
user_id: '24876'
year: '2020'
...
---
_id: '22969'
author:
- first_name: Stefan
full_name: Schütz, Stefan
last_name: Schütz
- first_name: Arne Thorsten
full_name: Rüting, Arne Thorsten
last_name: Rüting
- first_name: Christian
full_name: Henke, Christian
last_name: Henke
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
citation:
ama: 'Schütz S, Rüting AT, Henke C, Trächtler A. Echtzeitfähige Planung optimierter
Trajektorien für sensorgeführte, kinematisch redundante Mechanismen auf einer
Industriesteuerung. In: Entwurf Komplexer Automatisierungssysteme (EKA).
; 2020.'
apa: Schütz, S., Rüting, A. T., Henke, C., & Trächtler, A. (2020). Echtzeitfähige
Planung optimierter Trajektorien für sensorgeführte, kinematisch redundante Mechanismen
auf einer Industriesteuerung. In Entwurf komplexer Automatisierungssysteme
(EKA).
bibtex: '@inproceedings{Schütz_Rüting_Henke_Trächtler_2020, title={Echtzeitfähige
Planung optimierter Trajektorien für sensorgeführte, kinematisch redundante Mechanismen
auf einer Industriesteuerung}, booktitle={Entwurf komplexer Automatisierungssysteme
(EKA)}, author={Schütz, Stefan and Rüting, Arne Thorsten and Henke, Christian
and Trächtler, Ansgar}, year={2020} }'
chicago: Schütz, Stefan, Arne Thorsten Rüting, Christian Henke, and Ansgar Trächtler.
“Echtzeitfähige Planung Optimierter Trajektorien Für Sensorgeführte, Kinematisch
Redundante Mechanismen Auf Einer Industriesteuerung.” In Entwurf Komplexer
Automatisierungssysteme (EKA), 2020.
ieee: S. Schütz, A. T. Rüting, C. Henke, and A. Trächtler, “Echtzeitfähige Planung
optimierter Trajektorien für sensorgeführte, kinematisch redundante Mechanismen
auf einer Industriesteuerung,” in Entwurf komplexer Automatisierungssysteme
(EKA), 2020.
mla: Schütz, Stefan, et al. “Echtzeitfähige Planung Optimierter Trajektorien Für
Sensorgeführte, Kinematisch Redundante Mechanismen Auf Einer Industriesteuerung.”
Entwurf Komplexer Automatisierungssysteme (EKA), 2020.
short: 'S. Schütz, A.T. Rüting, C. Henke, A. Trächtler, in: Entwurf Komplexer Automatisierungssysteme
(EKA), 2020.'
date_created: 2021-08-09T05:16:55Z
date_updated: 2022-01-06T06:55:44Z
department:
- _id: '153'
- _id: '241'
language:
- iso: eng
publication: Entwurf komplexer Automatisierungssysteme (EKA)
status: public
title: Echtzeitfähige Planung optimierter Trajektorien für sensorgeführte, kinematisch
redundante Mechanismen auf einer Industriesteuerung
type: conference
user_id: '24876'
year: '2020'
...
---
_id: '21712'
author:
- first_name: Swetlana
full_name: Schweizer, Swetlana
id: '8938'
last_name: Schweizer
- first_name: Emine Fulya
full_name: Akbulut Irmak, Emine Fulya
id: '72008'
last_name: Akbulut Irmak
orcid: 0000-0002-1338-810X
- first_name: Thomas
full_name: Tröster, Thomas
id: '553'
last_name: Tröster
citation:
ama: 'Schweizer S, Akbulut Irmak EF, Tröster T. Wood-based materials as a sustainable
alternative for future car body construction. In: Automotive Circle; 2020.'
apa: Schweizer, S., Akbulut Irmak, E. F., & Tröster, T. (2020). Wood-based
materials as a sustainable alternative for future car body construction. Future
Materials, vitual.
bibtex: '@inproceedings{Schweizer_Akbulut Irmak_Tröster_2020, title={Wood-based
materials as a sustainable alternative for future car body construction}, publisher={Automotive
Circle}, author={Schweizer, Swetlana and Akbulut Irmak, Emine Fulya and Tröster,
Thomas}, year={2020} }'
chicago: Schweizer, Swetlana, Emine Fulya Akbulut Irmak, and Thomas Tröster. “Wood-Based
Materials as a Sustainable Alternative for Future Car Body Construction.” Automotive
Circle, 2020.
ieee: S. Schweizer, E. F. Akbulut Irmak, and T. Tröster, “Wood-based materials as
a sustainable alternative for future car body construction,” presented at the
Future Materials, vitual, 2020.
mla: Schweizer, Swetlana, et al. Wood-Based Materials as a Sustainable Alternative
for Future Car Body Construction. Automotive Circle, 2020.
short: 'S. Schweizer, E.F. Akbulut Irmak, T. Tröster, in: Automotive Circle, 2020.'
conference:
location: vitual
name: Future Materials
start_date: 2020-08-31
date_created: 2021-04-21T16:14:33Z
date_updated: 2022-01-06T06:55:11Z
department:
- _id: '9'
- _id: '321'
- _id: '149'
language:
- iso: eng
publisher: Automotive Circle
status: public
title: Wood-based materials as a sustainable alternative for future car body construction
type: conference_abstract
user_id: '8938'
year: '2020'
...
---
_id: '22006'
abstract:
- lang: ger
text: Simulationsmethoden bieten die Möglichkeit, instabile Betriebszustände von
Antriebssystemen noch vor dem Einsatz in einer realen Anwendung zu identifizieren
und gezielt Gegenmaßnahmen abzuleiten. In dem vorliegenden Artikel wird die Entwicklung
eines Simulationsmodells für elektro- mechanische Spindelhubantriebe beschrieben.
Im Fokus der Betrachtung stehen insbesondere reibungsinduzierte Schwingphänomene,
die in Schneckengetrieben und Trapezgewindespindeln entstehen können. Das Simulationsmodell
wird anhand von experimentellen Messungen für mehrere stabile Betriebspunkte und
für einen instabilen Betriebszustand validiert. Eine Diskussion der Ergebnisse
schließt den Beitrag ab.
author:
- first_name: J.
full_name: Tominski, J.
last_name: Tominski
- first_name: Detmar
full_name: Zimmer, Detmar
id: '604'
last_name: Zimmer
citation:
ama: Tominski J, Zimmer D. Entwurf eines Simulationsmodells zur Bewertung des Betriebsverhaltens
von elektromechanischen Spindelhubantrieben. Konstruktion - Zeitschrift für
Produktentwicklung und Ingenieur-Werkstoffe. 2020;72(4):72-82. doi:10.37544/0720-5953-2020-04-72
apa: Tominski, J., & Zimmer, D. (2020). Entwurf eines Simulationsmodells zur
Bewertung des Betriebsverhaltens von elektromechanischen Spindelhubantrieben.
Konstruktion - Zeitschrift für Produktentwicklung und Ingenieur-Werkstoffe,
72(4), 72–82. https://doi.org/10.37544/0720-5953-2020-04-72
bibtex: '@article{Tominski_Zimmer_2020, title={Entwurf eines Simulationsmodells
zur Bewertung des Betriebsverhaltens von elektromechanischen Spindelhubantrieben},
volume={72}, DOI={10.37544/0720-5953-2020-04-72
}, number={4}, journal={Konstruktion - Zeitschrift für Produktentwicklung
und Ingenieur-Werkstoffe}, publisher={Springer-VDI-Verlag }, author={Tominski,
J. and Zimmer, Detmar}, year={2020}, pages={72–82} }'
chicago: 'Tominski, J., and Detmar Zimmer. “Entwurf eines Simulationsmodells zur
Bewertung des Betriebsverhaltens von elektromechanischen Spindelhubantrieben.”
Konstruktion - Zeitschrift für Produktentwicklung und Ingenieur-Werkstoffe
72, no. 4 (2020): 72–82. https://doi.org/10.37544/0720-5953-2020-04-72 .'
ieee: J. Tominski and D. Zimmer, “Entwurf eines Simulationsmodells zur Bewertung
des Betriebsverhaltens von elektromechanischen Spindelhubantrieben,” Konstruktion
- Zeitschrift für Produktentwicklung und Ingenieur-Werkstoffe, vol. 72, no.
4, pp. 72–82, 2020.
mla: Tominski, J., and Detmar Zimmer. “Entwurf eines Simulationsmodells zur Bewertung
des Betriebsverhaltens von elektromechanischen Spindelhubantrieben.” Konstruktion
- Zeitschrift für Produktentwicklung und Ingenieur-Werkstoffe, vol. 72, no.
4, Springer-VDI-Verlag , 2020, pp. 72–82, doi:10.37544/0720-5953-2020-04-72 .
short: J. Tominski, D. Zimmer, Konstruktion - Zeitschrift für Produktentwicklung
und Ingenieur-Werkstoffe 72 (2020) 72–82.
date_created: 2021-05-05T12:34:14Z
date_updated: 2022-01-06T06:55:22Z
department:
- _id: '9'
- _id: '146'
doi: '10.37544/0720-5953-2020-04-72 '
intvolume: ' 72'
issue: '4'
language:
- iso: ger
page: 72-82
publication: Konstruktion - Zeitschrift für Produktentwicklung und Ingenieur-Werkstoffe
publication_identifier:
isbn:
- 0373-3300
publisher: 'Springer-VDI-Verlag '
status: public
title: Entwurf eines Simulationsmodells zur Bewertung des Betriebsverhaltens von elektromechanischen
Spindelhubantrieben
type: journal_article
user_id: '38077'
volume: 72
year: '2020'
...
---
_id: '16848'
author:
- first_name: Muhammad Ali
full_name: Javed, Muhammad Ali
last_name: Javed
- first_name: Moritz
full_name: Rüther, Moritz
last_name: Rüther
- first_name: Elmar
full_name: Baumhögger, Elmar
id: '15164'
last_name: Baumhögger
- first_name: Jadran
full_name: Vrabec, Jadran
last_name: Vrabec
citation:
ama: Javed MA, Rüther M, Baumhögger E, Vrabec J. Density and Thermodynamic Speed
of Sound of Liquid Vinyl Chloride. Journal of Chemical & Engineering Data.
2020. doi:10.1021/acs.jced.9b01133
apa: Javed, M. A., Rüther, M., Baumhögger, E., & Vrabec, J. (2020). Density
and Thermodynamic Speed of Sound of Liquid Vinyl Chloride. Journal of Chemical
& Engineering Data. https://doi.org/10.1021/acs.jced.9b01133
bibtex: '@article{Javed_Rüther_Baumhögger_Vrabec_2020, title={Density and Thermodynamic
Speed of Sound of Liquid Vinyl Chloride}, DOI={10.1021/acs.jced.9b01133},
journal={Journal of Chemical & Engineering Data}, author={Javed, Muhammad
Ali and Rüther, Moritz and Baumhögger, Elmar and Vrabec, Jadran}, year={2020}
}'
chicago: Javed, Muhammad Ali, Moritz Rüther, Elmar Baumhögger, and Jadran Vrabec.
“Density and Thermodynamic Speed of Sound of Liquid Vinyl Chloride.” Journal
of Chemical & Engineering Data, 2020. https://doi.org/10.1021/acs.jced.9b01133.
ieee: M. A. Javed, M. Rüther, E. Baumhögger, and J. Vrabec, “Density and Thermodynamic
Speed of Sound of Liquid Vinyl Chloride,” Journal of Chemical & Engineering
Data, 2020.
mla: Javed, Muhammad Ali, et al. “Density and Thermodynamic Speed of Sound of Liquid
Vinyl Chloride.” Journal of Chemical & Engineering Data, 2020, doi:10.1021/acs.jced.9b01133.
short: M.A. Javed, M. Rüther, E. Baumhögger, J. Vrabec, Journal of Chemical &
Engineering Data (2020).
date_created: 2020-04-24T07:25:48Z
date_updated: 2022-01-06T06:52:57Z
department:
- _id: '155'
doi: 10.1021/acs.jced.9b01133
language:
- iso: eng
publication: Journal of Chemical & Engineering Data
publication_identifier:
issn:
- 0021-9568
- 1520-5134
publication_status: published
status: public
title: Density and Thermodynamic Speed of Sound of Liquid Vinyl Chloride
type: journal_article
user_id: '15164'
year: '2020'
...
---
_id: '16939'
author:
- first_name: Marcel
full_name: Triebus, Marcel
id: '66036'
last_name: Triebus
- first_name: Thomas
full_name: Tröster, Thomas
id: '553'
last_name: Tröster
citation:
ama: 'Triebus M, Tröster T. A Holistic Approach to Optimization-Based Design of
Hybrid Materials. In: Proceedings 4th International Conference Hybrid Materials
& Structures. ; 2020.'
apa: Triebus, M., & Tröster, T. (2020). A Holistic Approach to Optimization-Based
Design of Hybrid Materials. In Proceedings 4th International Conference Hybrid
Materials & Structures. Web-Conference.
bibtex: '@inproceedings{Triebus_Tröster_2020, title={A Holistic Approach to Optimization-Based
Design of Hybrid Materials}, booktitle={Proceedings 4th International Conference
Hybrid Materials & Structures}, author={Triebus, Marcel and Tröster, Thomas},
year={2020} }'
chicago: Triebus, Marcel, and Thomas Tröster. “A Holistic Approach to Optimization-Based
Design of Hybrid Materials.” In Proceedings 4th International Conference Hybrid
Materials & Structures, 2020.
ieee: M. Triebus and T. Tröster, “A Holistic Approach to Optimization-Based Design
of Hybrid Materials,” in Proceedings 4th International Conference Hybrid Materials
& Structures, Web-Conference, 2020.
mla: Triebus, Marcel, and Thomas Tröster. “A Holistic Approach to Optimization-Based
Design of Hybrid Materials.” Proceedings 4th International Conference Hybrid
Materials & Structures, 2020.
short: 'M. Triebus, T. Tröster, in: Proceedings 4th International Conference Hybrid
Materials & Structures, 2020.'
conference:
end_date: 2020-04-29
location: Web-Conference
name: 4th International Conference Hybrid Materials & Structures 2020
start_date: 2020-04-28
date_created: 2020-05-06T10:45:19Z
date_updated: 2022-01-06T06:52:59Z
department:
- _id: '9'
- _id: '321'
- _id: '149'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://hybrid2020.dgm.de/fileadmin/Tagungen/2020/2020-04-Hybrid-Materials/02-Graphik-Druckwerke/2020-Hybrid-Proceedings.pdf
oa: '1'
publication: Proceedings 4th International Conference Hybrid Materials & Structures
status: public
title: A Holistic Approach to Optimization-Based Design of Hybrid Materials
type: conference
user_id: '66036'
year: '2020'
...
---
_id: '15490'
author:
- first_name: Leander
full_name: Claes, Leander
id: '11829'
last_name: Claes
orcid: 0000-0002-4393-268X
- first_name: Elmar
full_name: Baumhögger, Elmar
id: '15164'
last_name: Baumhögger
- first_name: Torben
full_name: Rüther, Torben
id: '76950'
last_name: Rüther
- first_name: Jan
full_name: Gierse, Jan
id: '28610'
last_name: Gierse
- first_name: Thomas
full_name: Tröster, Thomas
id: '553'
last_name: Tröster
- first_name: Bernd
full_name: Henning, Bernd
id: '213'
last_name: Henning
citation:
ama: 'Claes L, Baumhögger E, Rüther T, Gierse J, Tröster T, Henning B. Reduction
of systematic measurement deviation in acoustic absorption measurement systems.
In: Fortschritte Der Akustik - DAGA 2020. ; 2020:1077-1080.'
apa: Claes, L., Baumhögger, E., Rüther, T., Gierse, J., Tröster, T., & Henning,
B. (2020). Reduction of systematic measurement deviation in acoustic absorption
measurement systems. Fortschritte Der Akustik - DAGA 2020, 1077–1080.
bibtex: '@inproceedings{Claes_Baumhögger_Rüther_Gierse_Tröster_Henning_2020, title={Reduction
of systematic measurement deviation in acoustic absorption measurement systems},
booktitle={Fortschritte der Akustik - DAGA 2020}, author={Claes, Leander and Baumhögger,
Elmar and Rüther, Torben and Gierse, Jan and Tröster, Thomas and Henning, Bernd},
year={2020}, pages={1077–1080} }'
chicago: Claes, Leander, Elmar Baumhögger, Torben Rüther, Jan Gierse, Thomas Tröster,
and Bernd Henning. “Reduction of Systematic Measurement Deviation in Acoustic
Absorption Measurement Systems.” In Fortschritte Der Akustik - DAGA 2020,
1077–80, 2020.
ieee: L. Claes, E. Baumhögger, T. Rüther, J. Gierse, T. Tröster, and B. Henning,
“Reduction of systematic measurement deviation in acoustic absorption measurement
systems,” in Fortschritte der Akustik - DAGA 2020, 2020, pp. 1077–1080.
mla: Claes, Leander, et al. “Reduction of Systematic Measurement Deviation in Acoustic
Absorption Measurement Systems.” Fortschritte Der Akustik - DAGA 2020,
2020, pp. 1077–80.
short: 'L. Claes, E. Baumhögger, T. Rüther, J. Gierse, T. Tröster, B. Henning, in:
Fortschritte Der Akustik - DAGA 2020, 2020, pp. 1077–1080.'
date_created: 2020-01-10T16:09:17Z
date_updated: 2022-01-06T06:52:27Z
ddc:
- '620'
department:
- _id: '49'
- _id: '155'
- _id: '149'
- _id: '219'
file:
- access_level: open_access
content_type: application/pdf
creator: leanderc
date_created: 2020-05-07T14:39:55Z
date_updated: 2020-05-08T14:57:48Z
file_id: '16942'
file_name: daga.pdf
file_size: 6699449
relation: main_file
file_date_updated: 2020-05-08T14:57:48Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
page: 1077-1080
publication: Fortschritte der Akustik - DAGA 2020
status: public
title: Reduction of systematic measurement deviation in acoustic absorption measurement
systems
type: conference
user_id: '11829'
year: '2020'
...
---
_id: '15580'
abstract:
- lang: eng
text: This paper deals with aspect phrase extraction and classification in sentiment
analysis. We summarize current approaches and datasets from the domain of aspect-based
sentiment analysis. This domain detects sentiments expressed for individual aspects
in unstructured text data. So far, mainly commercial user reviews for products
or services such as restaurants were investigated. We here present our dataset
consisting of German physician reviews, a sensitive and linguistically complex
field. Furthermore, we describe the annotation process of a dataset for supervised
learning with neural networks. Moreover, we introduce our model for extracting
and classifying aspect phrases in one step, which obtains an F1-score of 80%.
By applying it to a more complex domain, our approach and results outperform previous
approaches.
author:
- first_name: Joschka
full_name: Kersting, Joschka
id: '58701'
last_name: Kersting
- first_name: Michaela
full_name: Geierhos, Michaela
id: '42496'
last_name: Geierhos
orcid: 0000-0002-8180-5606
citation:
ama: 'Kersting J, Geierhos M. Aspect Phrase Extraction in Sentiment Analysis with
Deep Learning. In: Proceedings of the 12th International Conference on Agents
and Artificial Intelligence (ICAART 2020) -- Special Session on Natural Language
Processing in Artificial Intelligence (NLPinAI 2020). Setúbal, Portugal: SCITEPRESS;
2020:391--400.'
apa: 'Kersting, J., & Geierhos, M. (2020). Aspect Phrase Extraction in Sentiment
Analysis with Deep Learning. In Proceedings of the 12th International Conference
on Agents and Artificial Intelligence (ICAART 2020) -- Special Session on Natural
Language Processing in Artificial Intelligence (NLPinAI 2020) (pp. 391--400).
Setúbal, Portugal: SCITEPRESS.'
bibtex: '@inproceedings{Kersting_Geierhos_2020, place={Setúbal, Portugal}, title={Aspect
Phrase Extraction in Sentiment Analysis with Deep Learning}, booktitle={Proceedings
of the 12th International Conference on Agents and Artificial Intelligence (ICAART
2020) -- Special Session on Natural Language Processing in Artificial Intelligence
(NLPinAI 2020)}, publisher={SCITEPRESS}, author={Kersting, Joschka and Geierhos,
Michaela}, year={2020}, pages={391--400} }'
chicago: 'Kersting, Joschka, and Michaela Geierhos. “Aspect Phrase Extraction in
Sentiment Analysis with Deep Learning.” In Proceedings of the 12th International
Conference on Agents and Artificial Intelligence (ICAART 2020) -- Special Session
on Natural Language Processing in Artificial Intelligence (NLPinAI 2020),
391--400. Setúbal, Portugal: SCITEPRESS, 2020.'
ieee: J. Kersting and M. Geierhos, “Aspect Phrase Extraction in Sentiment Analysis
with Deep Learning,” in Proceedings of the 12th International Conference on
Agents and Artificial Intelligence (ICAART 2020) -- Special Session on Natural
Language Processing in Artificial Intelligence (NLPinAI 2020), Valetta, Malta,
2020, pp. 391--400.
mla: Kersting, Joschka, and Michaela Geierhos. “Aspect Phrase Extraction in Sentiment
Analysis with Deep Learning.” Proceedings of the 12th International Conference
on Agents and Artificial Intelligence (ICAART 2020) -- Special Session on Natural
Language Processing in Artificial Intelligence (NLPinAI 2020), SCITEPRESS,
2020, pp. 391--400.
short: 'J. Kersting, M. Geierhos, in: Proceedings of the 12th International Conference
on Agents and Artificial Intelligence (ICAART 2020) -- Special Session on Natural
Language Processing in Artificial Intelligence (NLPinAI 2020), SCITEPRESS, Setúbal,
Portugal, 2020, pp. 391--400.'
conference:
location: Valetta, Malta
name: International Conference on Agents and Artificial Intelligence (ICAART) -- Special
Session on Natural Language Processing in Artificial Intelligence (NLPinAI)
date_created: 2020-01-15T08:35:07Z
date_updated: 2022-01-06T06:52:29Z
ddc:
- '000'
department:
- _id: '579'
file:
- access_level: closed
content_type: application/pdf
creator: jkers
date_created: 2020-09-18T09:27:00Z
date_updated: 2020-09-18T09:27:00Z
file_id: '19576'
file_name: Kersting & Geierhos (2020), Kersting2020.pdf
file_size: 421780
relation: main_file
success: 1
file_date_updated: 2020-09-18T09:27:00Z
has_accepted_license: '1'
keyword:
- Deep Learning
- Natural Language Processing
- Aspect-based Sentiment Analysis
language:
- iso: eng
page: 391--400
place: Setúbal, Portugal
project:
- _id: '3'
name: SFB 901 - Project Area B
- _id: '1'
name: SFB 901
- _id: '9'
name: SFB 901 - Subproject B1
publication: Proceedings of the 12th International Conference on Agents and Artificial
Intelligence (ICAART 2020) -- Special Session on Natural Language Processing in
Artificial Intelligence (NLPinAI 2020)
publisher: SCITEPRESS
status: public
title: Aspect Phrase Extraction in Sentiment Analysis with Deep Learning
type: conference
user_id: '58701'
year: '2020'
...
---
_id: '15582'
abstract:
- lang: eng
text: When it comes to increased digitization in the health care domain, privacy
is a relevant topic nowadays. This relates to patient data, electronic health
records or physician reviews published online, for instance. There exist different
approaches to the protection of individuals’ privacy, which focus on the anonymization
and masking of personal information subsequent to their mining. In the medical
domain in particular, measures to protect the privacy of patients are of high
importance due to the amount of sensitive data that is involved (e.g. age, gender,
illnesses, medication). While privacy breaches in structured data can be detected
more easily, disclosure in written texts is more difficult to find automatically
due to the unstructured nature of natural language. Therefore, we take a detailed
look at existing research on areas related to privacy protection. Likewise, we
review approaches to the automatic detection of privacy disclosure in different
types of medical data. We provide a survey of several studies concerned with privacy
breaches in the medical domain with a focus on Physician Review Websites (PRWs).
Finally, we briefly develop implications and directions for further research.
author:
- first_name: Bianca
full_name: Buff, Bianca
last_name: Buff
- first_name: Joschka
full_name: Kersting, Joschka
id: '58701'
last_name: Kersting
- first_name: Michaela
full_name: Geierhos, Michaela
id: '42496'
last_name: Geierhos
orcid: 0000-0002-8180-5606
citation:
ama: 'Buff B, Kersting J, Geierhos M. Detection of Privacy Disclosure in the Medical
Domain: A Survey. In: Proceedings of the 9th International Conference on Pattern
Recognition Applications and Methods (ICPRAM 2020). Setúbal, Portugal: SCITEPRESS;
2020:630--637.'
apa: 'Buff, B., Kersting, J., & Geierhos, M. (2020). Detection of Privacy Disclosure
in the Medical Domain: A Survey. In Proceedings of the 9th International Conference
on Pattern Recognition Applications and Methods (ICPRAM 2020) (pp. 630--637).
Setúbal, Portugal: SCITEPRESS.'
bibtex: '@inproceedings{Buff_Kersting_Geierhos_2020, place={Setúbal, Portugal},
title={Detection of Privacy Disclosure in the Medical Domain: A Survey}, booktitle={Proceedings
of the 9th International Conference on Pattern Recognition Applications and Methods
(ICPRAM 2020)}, publisher={SCITEPRESS}, author={Buff, Bianca and Kersting, Joschka
and Geierhos, Michaela}, year={2020}, pages={630--637} }'
chicago: 'Buff, Bianca, Joschka Kersting, and Michaela Geierhos. “Detection of Privacy
Disclosure in the Medical Domain: A Survey.” In Proceedings of the 9th International
Conference on Pattern Recognition Applications and Methods (ICPRAM 2020),
630--637. Setúbal, Portugal: SCITEPRESS, 2020.'
ieee: 'B. Buff, J. Kersting, and M. Geierhos, “Detection of Privacy Disclosure in
the Medical Domain: A Survey,” in Proceedings of the 9th International Conference
on Pattern Recognition Applications and Methods (ICPRAM 2020), Valetta, Malta,
2020, pp. 630--637.'
mla: 'Buff, Bianca, et al. “Detection of Privacy Disclosure in the Medical Domain:
A Survey.” Proceedings of the 9th International Conference on Pattern Recognition
Applications and Methods (ICPRAM 2020), SCITEPRESS, 2020, pp. 630--637.'
short: 'B. Buff, J. Kersting, M. Geierhos, in: Proceedings of the 9th International
Conference on Pattern Recognition Applications and Methods (ICPRAM 2020), SCITEPRESS,
Setúbal, Portugal, 2020, pp. 630--637.'
conference:
location: Valetta, Malta
name: International Conference on Pattern Recognition Applications and Methods (ICPRAM)
date_created: 2020-01-15T08:49:25Z
date_updated: 2022-01-06T06:52:30Z
ddc:
- '000'
department:
- _id: '579'
file:
- access_level: closed
content_type: application/pdf
creator: jkers
date_created: 2020-09-18T09:25:30Z
date_updated: 2020-09-18T09:25:30Z
file_id: '19574'
file_name: Buff et al. (2020), Buff2020.pdf
file_size: 287956
relation: main_file
success: 1
file_date_updated: 2020-09-18T09:25:30Z
has_accepted_license: '1'
keyword:
- Identity Disclosure
- Privacy Protection
- Physician Review Website
- De-Anonymization
- Medical Domain
language:
- iso: eng
page: 630--637
place: Setúbal, Portugal
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '9'
name: SFB 901 - Subproject B1
publication: Proceedings of the 9th International Conference on Pattern Recognition
Applications and Methods (ICPRAM 2020)
publisher: SCITEPRESS
status: public
title: 'Detection of Privacy Disclosure in the Medical Domain: A Survey'
type: conference
user_id: '58701'
year: '2020'
...
---
_id: '15635'
author:
- first_name: Joschka
full_name: Kersting, Joschka
id: '58701'
last_name: Kersting
- first_name: Michaela
full_name: Geierhos, Michaela
id: '42496'
last_name: Geierhos
orcid: 0000-0002-8180-5606
citation:
ama: 'Kersting J, Geierhos M. Neural Learning for Aspect Phrase Extraction and Classification
in Sentiment Analysis. In: Proceedings of the 33rd International Florida Artificial
Intelligence Research Symposium (FLAIRS) Conference. North Miami Beach, FL,
USA: AAAI; 2020:282--285.'
apa: 'Kersting, J., & Geierhos, M. (2020). Neural Learning for Aspect Phrase
Extraction and Classification in Sentiment Analysis. In Proceedings of the
33rd International Florida Artificial Intelligence Research Symposium (FLAIRS)
Conference (pp. 282--285). North Miami Beach, FL, USA: AAAI.'
bibtex: '@inproceedings{Kersting_Geierhos_2020, place={North Miami Beach, FL, USA},
title={Neural Learning for Aspect Phrase Extraction and Classification in Sentiment
Analysis}, booktitle={Proceedings of the 33rd International Florida Artificial
Intelligence Research Symposium (FLAIRS) Conference}, publisher={AAAI}, author={Kersting,
Joschka and Geierhos, Michaela}, year={2020}, pages={282--285} }'
chicago: 'Kersting, Joschka, and Michaela Geierhos. “Neural Learning for Aspect
Phrase Extraction and Classification in Sentiment Analysis.” In Proceedings
of the 33rd International Florida Artificial Intelligence Research Symposium (FLAIRS)
Conference, 282--285. North Miami Beach, FL, USA: AAAI, 2020.'
ieee: J. Kersting and M. Geierhos, “Neural Learning for Aspect Phrase Extraction
and Classification in Sentiment Analysis,” in Proceedings of the 33rd International
Florida Artificial Intelligence Research Symposium (FLAIRS) Conference, North
Miami Beach, FL, USA, 2020, pp. 282--285.
mla: Kersting, Joschka, and Michaela Geierhos. “Neural Learning for Aspect Phrase
Extraction and Classification in Sentiment Analysis.” Proceedings of the 33rd
International Florida Artificial Intelligence Research Symposium (FLAIRS) Conference,
AAAI, 2020, pp. 282--285.
short: 'J. Kersting, M. Geierhos, in: Proceedings of the 33rd International Florida
Artificial Intelligence Research Symposium (FLAIRS) Conference, AAAI, North Miami
Beach, FL, USA, 2020, pp. 282--285.'
conference:
end_date: 2020-05-20
location: North Miami Beach, FL, USA
name: The 33rd International Florida Artificial Intelligence Research Symposium
(FLAIRS) Conference
start_date: 2020-05-17
date_created: 2020-01-24T09:10:09Z
date_updated: 2022-01-06T06:52:31Z
ddc:
- '000'
department:
- _id: '579'
file:
- access_level: closed
content_type: application/pdf
creator: jkers
date_created: 2020-09-18T09:39:08Z
date_updated: 2020-09-18T09:39:08Z
file_id: '19582'
file_name: Kersting & Geierhos (2020b), Kersting2020b.pdf
file_size: 464976
relation: main_file
success: 1
file_date_updated: 2020-09-18T09:39:08Z
has_accepted_license: '1'
language:
- iso: eng
page: 282--285
place: North Miami Beach, FL, USA
project:
- _id: '3'
name: SFB 901 - Project Area B
- _id: '9'
name: SFB 901 - Subproject B1
- _id: '1'
name: SFB 901
publication: Proceedings of the 33rd International Florida Artificial Intelligence
Research Symposium (FLAIRS) Conference
publisher: AAAI
status: public
title: Neural Learning for Aspect Phrase Extraction and Classification in Sentiment
Analysis
type: conference
user_id: '58701'
year: '2020'
...
---
_id: '15841'
author:
- first_name: Mike
full_name: Bothe, Mike
id: '72973'
last_name: Bothe
- first_name: Alexander
full_name: Fedorov, Alexander
last_name: Fedorov
- first_name: Herrmann
full_name: Frei, Herrmann
last_name: Frei
- first_name: Nicole
full_name: Lutters, Nicole
last_name: Lutters
- first_name: Eugeny Y.
full_name: Kenig, Eugeny Y.
last_name: Kenig
citation:
ama: Bothe M, Fedorov A, Frei H, Lutters N, Kenig EY. Untersuchung des dynamischen
Prozessverhaltens bei Betriebsstörungen im Bereich der chemischen Absorption.
Chemie Ingenieur Technik. 2020. doi:10.1002/cite.201900096
apa: Bothe, M., Fedorov, A., Frei, H., Lutters, N., & Kenig, E. Y. (2020). Untersuchung
des dynamischen Prozessverhaltens bei Betriebsstörungen im Bereich der chemischen
Absorption. Chemie Ingenieur Technik. https://doi.org/10.1002/cite.201900096
bibtex: '@article{Bothe_Fedorov_Frei_Lutters_Kenig_2020, title={Untersuchung des
dynamischen Prozessverhaltens bei Betriebsstörungen im Bereich der chemischen
Absorption}, DOI={10.1002/cite.201900096},
journal={Chemie Ingenieur Technik}, author={Bothe, Mike and Fedorov, Alexander
and Frei, Herrmann and Lutters, Nicole and Kenig, Eugeny Y.}, year={2020} }'
chicago: Bothe, Mike, Alexander Fedorov, Herrmann Frei, Nicole Lutters, and Eugeny
Y. Kenig. “Untersuchung des dynamischen Prozessverhaltens bei Betriebsstörungen
im Bereich der chemischen Absorption.” Chemie Ingenieur Technik, 2020.
https://doi.org/10.1002/cite.201900096.
ieee: M. Bothe, A. Fedorov, H. Frei, N. Lutters, and E. Y. Kenig, “Untersuchung
des dynamischen Prozessverhaltens bei Betriebsstörungen im Bereich der chemischen
Absorption,” Chemie Ingenieur Technik, 2020.
mla: Bothe, Mike, et al. “Untersuchung des dynamischen Prozessverhaltens bei Betriebsstörungen
im Bereich der chemischen Absorption.” Chemie Ingenieur Technik, 2020,
doi:10.1002/cite.201900096.
short: M. Bothe, A. Fedorov, H. Frei, N. Lutters, E.Y. Kenig, Chemie Ingenieur Technik
(2020).
conference:
end_date: 2019.03.29
location: Potsdam
name: Jahrestreffen der ProcessNet-Fachgruppen Fluidverfahrenstechnik und Membrantechnik
start_date: 2019.03.27
date_created: 2020-02-10T08:57:35Z
date_updated: 2022-01-06T06:52:38Z
department:
- _id: '9'
- _id: '145'
doi: 10.1002/cite.201900096
language:
- iso: ger
publication: Chemie Ingenieur Technik
publication_identifier:
issn:
- 0009-286X
- 1522-2640
publication_status: published
status: public
title: Untersuchung des dynamischen Prozessverhaltens bei Betriebsstörungen im Bereich
der chemischen Absorption
type: journal_article
user_id: '14931'
year: '2020'
...
---
_id: '15025'
abstract:
- lang: eng
text: In software engineering, the imprecise requirements of a user are transformed
to a formal requirements specification during the requirements elicitation process.
This process is usually guided by requirements engineers interviewing the user.
We want to partially automate this first step of the software engineering process
in order to enable users to specify a desired software system on their own. With
our approach, users are only asked to provide exemplary behavioral descriptions.
The problem of synthesizing a requirements specification from examples can partially
be reduced to the problem of grammatical inference, to which we apply an active
coevolutionary learning approach. However, this approach would usually require
many feedback queries to be sent to the user. In this work, we extend and generalize
our active learning approach to receive knowledge from multiple oracles, also
known as proactive learning. The ‘user oracle’ represents input received from
the user and the ‘knowledge oracle’ represents available, formalized domain knowledge.
We call our two-oracle approach the ‘first apply knowledge then query’ (FAKT/Q)
algorithm. We compare FAKT/Q to the active learning approach and provide an extensive
benchmark evaluation. As result we find that the number of required user queries
is reduced and the inference process is sped up significantly. Finally, with so-called
On-The-Fly Markets, we present a motivation and an application of our approach
where such knowledge is available.
author:
- first_name: Marcel Dominik
full_name: Wever, Marcel Dominik
id: '33176'
last_name: Wever
orcid: ' https://orcid.org/0000-0001-9782-6818'
- first_name: Lorijn
full_name: van Rooijen, Lorijn
id: '58843'
last_name: van Rooijen
- first_name: Heiko
full_name: Hamann, Heiko
last_name: Hamann
citation:
ama: Wever MD, van Rooijen L, Hamann H. Multi-Oracle Coevolutionary Learning of
Requirements Specifications from Examples in On-The-Fly Markets. Evolutionary
Computation. 2020;28(2):165–193. doi:10.1162/evco_a_00266
apa: Wever, M. D., van Rooijen, L., & Hamann, H. (2020). Multi-Oracle Coevolutionary
Learning of Requirements Specifications from Examples in On-The-Fly Markets. Evolutionary
Computation, 28(2), 165–193. https://doi.org/10.1162/evco_a_00266
bibtex: '@article{Wever_van Rooijen_Hamann_2020, title={Multi-Oracle Coevolutionary
Learning of Requirements Specifications from Examples in On-The-Fly Markets},
volume={28}, DOI={10.1162/evco_a_00266},
number={2}, journal={Evolutionary Computation}, publisher={MIT Press Journals},
author={Wever, Marcel Dominik and van Rooijen, Lorijn and Hamann, Heiko}, year={2020},
pages={165–193} }'
chicago: 'Wever, Marcel Dominik, Lorijn van Rooijen, and Heiko Hamann. “Multi-Oracle
Coevolutionary Learning of Requirements Specifications from Examples in On-The-Fly
Markets.” Evolutionary Computation 28, no. 2 (2020): 165–193. https://doi.org/10.1162/evco_a_00266.'
ieee: 'M. D. Wever, L. van Rooijen, and H. Hamann, “Multi-Oracle Coevolutionary
Learning of Requirements Specifications from Examples in On-The-Fly Markets,”
Evolutionary Computation, vol. 28, no. 2, pp. 165–193, 2020, doi: 10.1162/evco_a_00266.'
mla: Wever, Marcel Dominik, et al. “Multi-Oracle Coevolutionary Learning of Requirements
Specifications from Examples in On-The-Fly Markets.” Evolutionary Computation,
vol. 28, no. 2, MIT Press Journals, 2020, pp. 165–193, doi:10.1162/evco_a_00266.
short: M.D. Wever, L. van Rooijen, H. Hamann, Evolutionary Computation 28 (2020)
165–193.
date_created: 2019-11-18T14:19:19Z
date_updated: 2022-01-06T06:52:15Z
department:
- _id: '34'
- _id: '355'
- _id: '26'
- _id: '63'
- _id: '238'
doi: 10.1162/evco_a_00266
intvolume: ' 28'
issue: '2'
language:
- iso: eng
page: 165–193
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '9'
name: SFB 901 - Subproject B1
- _id: '10'
name: SFB 901 - Subproject B2
- _id: '52'
name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: Evolutionary Computation
publication_status: published
publisher: MIT Press Journals
related_material:
link:
- relation: confirmation
url: https://www.mitpressjournals.org/doi/pdf/10.1162/evco_a_00266
status: public
title: Multi-Oracle Coevolutionary Learning of Requirements Specifications from Examples
in On-The-Fly Markets
type: journal_article
user_id: '15415'
volume: 28
year: '2020'
...
---
_id: '15256'
abstract:
- lang: eng
text: This paper deals with online customer reviews of local multi-service providers.
While many studies investigate product reviews and online labour markets with
service providers delivering intangible products “over the wire”, we focus on
websites where providers offer multiple distinct services that can be booked,
paid and reviewed online but are performed locally offline. This type of service
providers has so far been neglected in the literature. This paper analyses reviews
and applies sentiment analysis. It aims to gain new insights into local multi-service
providers’ performance. There is a broad literature range presented with regard
to the topics addressed. The results show, among other things, that providers
with good ratings continue to perform well over time. We find that many positive
reviews seem to encourage sales. On average, quantitative star ratings and qualitative
ratings in the form of review texts match. Further results are also achieved in
this study.
author:
- first_name: Joschka
full_name: Kersting, Joschka
id: '58701'
last_name: Kersting
- first_name: Michaela
full_name: Geierhos, Michaela
id: '42496'
last_name: Geierhos
orcid: 0000-0002-8180-5606
citation:
ama: 'Kersting J, Geierhos M. What Reviews in Local Online Labour Markets Reveal
about the Performance of Multi-Service Providers. In: Proceedings of the 9th
International Conference on Pattern Recognition Applications and Methods.
Setúbal, Portugal: SCITEPRESS; 2020:263--272.'
apa: 'Kersting, J., & Geierhos, M. (2020). What Reviews in Local Online Labour
Markets Reveal about the Performance of Multi-Service Providers. In Proceedings
of the 9th International Conference on Pattern Recognition Applications and Methods
(pp. 263--272). Setúbal, Portugal: SCITEPRESS.'
bibtex: '@inproceedings{Kersting_Geierhos_2020, place={Setúbal, Portugal}, title={What
Reviews in Local Online Labour Markets Reveal about the Performance of Multi-Service
Providers}, booktitle={Proceedings of the 9th International Conference on Pattern
Recognition Applications and Methods}, publisher={SCITEPRESS}, author={Kersting,
Joschka and Geierhos, Michaela}, year={2020}, pages={263--272} }'
chicago: 'Kersting, Joschka, and Michaela Geierhos. “What Reviews in Local Online
Labour Markets Reveal about the Performance of Multi-Service Providers.” In Proceedings
of the 9th International Conference on Pattern Recognition Applications and Methods,
263--272. Setúbal, Portugal: SCITEPRESS, 2020.'
ieee: J. Kersting and M. Geierhos, “What Reviews in Local Online Labour Markets
Reveal about the Performance of Multi-Service Providers,” in Proceedings of
the 9th International Conference on Pattern Recognition Applications and Methods,
Valetta, Malta, 2020, pp. 263--272.
mla: Kersting, Joschka, and Michaela Geierhos. “What Reviews in Local Online Labour
Markets Reveal about the Performance of Multi-Service Providers.” Proceedings
of the 9th International Conference on Pattern Recognition Applications and Methods,
SCITEPRESS, 2020, pp. 263--272.
short: 'J. Kersting, M. Geierhos, in: Proceedings of the 9th International Conference
on Pattern Recognition Applications and Methods, SCITEPRESS, Setúbal, Portugal,
2020, pp. 263--272.'
conference:
location: Valetta, Malta
name: International Conference on Pattern Recognition Applications and Methods (ICPRAM)
date_created: 2019-12-06T13:09:42Z
date_updated: 2022-01-06T06:52:19Z
ddc:
- '000'
department:
- _id: '579'
file:
- access_level: closed
content_type: application/pdf
creator: jkers
date_created: 2020-09-18T09:27:41Z
date_updated: 2020-09-18T09:27:41Z
file_id: '19577'
file_name: Kersting & Geierhos (2020c), Kersting2020c.pdf
file_size: 963370
relation: main_file
success: 1
file_date_updated: 2020-09-18T09:27:41Z
has_accepted_license: '1'
keyword:
- Customer Reviews
- Sentiment Analysis
- Online Labour Markets
language:
- iso: eng
page: 263--272
place: Setúbal, Portugal
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '9'
name: SFB 901 - Subproject B1
publication: Proceedings of the 9th International Conference on Pattern Recognition
Applications and Methods
publisher: SCITEPRESS
status: public
title: What Reviews in Local Online Labour Markets Reveal about the Performance of
Multi-Service Providers
type: conference
user_id: '58701'
year: '2020'
...