---
_id: '30866'
abstract:
- lang: eng
text: "Automated machine learning (AutoML) strives for the automatic configuration\r\nof
machine learning algorithms and their composition into an overall (software)\r\nsolution
- a machine learning pipeline - tailored to the learning task\r\n(dataset) at
hand. Over the last decade, AutoML has developed into an\r\nindependent research
field with hundreds of contributions. While AutoML offers\r\nmany prospects, it
is also known to be quite resource-intensive, which is one\r\nof its major points
of criticism. The primary cause for a high resource\r\nconsumption is that many
approaches rely on the (costly) evaluation of many\r\nmachine learning pipelines
while searching for good candidates. This problem is\r\namplified in the context
of research on AutoML methods, due to large scale\r\nexperiments conducted with
many datasets and approaches, each of them being run\r\nwith several repetitions
to rule out random effects. In the spirit of recent\r\nwork on Green AI, this
paper is written in an attempt to raise the awareness of\r\nAutoML researchers
for the problem and to elaborate on possible remedies. To\r\nthis end, we identify
four categories of actions the community may take towards\r\nmore sustainable
research on AutoML, i.e. Green AutoML: design of AutoML\r\nsystems, benchmarking,
transparency and research incentives."
author:
- first_name: Tanja
full_name: Tornede, Tanja
id: '40795'
last_name: Tornede
- first_name: Alexander
full_name: Tornede, Alexander
id: '38209'
last_name: Tornede
- first_name: Jonas Manuel
full_name: Hanselle, Jonas Manuel
id: '43980'
last_name: Hanselle
orcid: 0000-0002-1231-4985
- first_name: Marcel Dominik
full_name: Wever, Marcel Dominik
id: '33176'
last_name: Wever
orcid: ' https://orcid.org/0000-0001-9782-6818'
- first_name: Felix
full_name: Mohr, Felix
last_name: Mohr
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Tornede T, Tornede A, Hanselle JM, Wever MD, Mohr F, Hüllermeier E. Towards
Green Automated Machine Learning: Status Quo and Future Directions. arXiv:211105850.
Published online 2021.'
apa: 'Tornede, T., Tornede, A., Hanselle, J. M., Wever, M. D., Mohr, F., & Hüllermeier,
E. (2021). Towards Green Automated Machine Learning: Status Quo and Future Directions.
In arXiv:2111.05850.'
bibtex: '@article{Tornede_Tornede_Hanselle_Wever_Mohr_Hüllermeier_2021, title={Towards
Green Automated Machine Learning: Status Quo and Future Directions}, journal={arXiv:2111.05850},
author={Tornede, Tanja and Tornede, Alexander and Hanselle, Jonas Manuel and Wever,
Marcel Dominik and Mohr, Felix and Hüllermeier, Eyke}, year={2021} }'
chicago: 'Tornede, Tanja, Alexander Tornede, Jonas Manuel Hanselle, Marcel Dominik
Wever, Felix Mohr, and Eyke Hüllermeier. “Towards Green Automated Machine Learning:
Status Quo and Future Directions.” ArXiv:2111.05850, 2021.'
ieee: 'T. Tornede, A. Tornede, J. M. Hanselle, M. D. Wever, F. Mohr, and E. Hüllermeier,
“Towards Green Automated Machine Learning: Status Quo and Future Directions,”
arXiv:2111.05850. 2021.'
mla: 'Tornede, Tanja, et al. “Towards Green Automated Machine Learning: Status Quo
and Future Directions.” ArXiv:2111.05850, 2021.'
short: T. Tornede, A. Tornede, J.M. Hanselle, M.D. Wever, F. Mohr, E. Hüllermeier,
ArXiv:2111.05850 (2021).
date_created: 2022-04-12T11:57:15Z
date_updated: 2022-04-12T12:01:23Z
department:
- _id: '34'
- _id: '7'
- _id: '26'
external_id:
arxiv:
- '2111.05850'
language:
- iso: eng
project:
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
- _id: '10'
name: 'SFB 901 - B2: SFB 901 - Subproject B2'
publication: arXiv:2111.05850
status: public
title: 'Towards Green Automated Machine Learning: Status Quo and Future Directions'
type: preprint
user_id: '38209'
year: '2021'
...
---
_id: '27284'
author:
- first_name: Marcel Dominik
full_name: Wever, Marcel Dominik
id: '33176'
last_name: Wever
orcid: ' https://orcid.org/0000-0001-9782-6818'
citation:
ama: Wever MD. Automated Machine Learning for Multi-Label Classification.;
2021. doi:10.17619/UNIPB/1-1302
apa: Wever, M. D. (2021). Automated Machine Learning for Multi-Label Classification.
https://doi.org/10.17619/UNIPB/1-1302
bibtex: '@book{Wever_2021, title={Automated Machine Learning for Multi-Label Classification},
DOI={10.17619/UNIPB/1-1302},
author={Wever, Marcel Dominik}, year={2021} }'
chicago: Wever, Marcel Dominik. Automated Machine Learning for Multi-Label Classification,
2021. https://doi.org/10.17619/UNIPB/1-1302.
ieee: M. D. Wever, Automated Machine Learning for Multi-Label Classification.
2021.
mla: Wever, Marcel Dominik. Automated Machine Learning for Multi-Label Classification.
2021, doi:10.17619/UNIPB/1-1302.
short: M.D. Wever, Automated Machine Learning for Multi-Label Classification, 2021.
date_created: 2021-11-08T14:05:19Z
date_updated: 2022-04-13T09:39:56Z
ddc:
- '000'
department:
- _id: '355'
doi: 10.17619/UNIPB/1-1302
file:
- access_level: open_access
content_type: application/pdf
creator: wever
date_created: 2022-04-13T09:35:25Z
date_updated: 2022-04-13T09:39:56Z
file_id: '30886'
file_name: dissertation_publish_upload.pdf
file_size: 8098177
relation: main_file
file_date_updated: 2022-04-13T09:39:56Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '10'
name: SFB 901 - Subproject B2
publication_status: published
status: public
supervisor:
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
title: Automated Machine Learning for Multi-Label Classification
type: dissertation
user_id: '33176'
year: '2021'
...
---
_id: '30906'
abstract:
- lang: eng
text: "Abstract\r\n Background\r\n
\ Hand amputation can have a truly debilitating impact on
the life of the affected person. A multifunctional myoelectric prosthesis controlled
using pattern classification can be used to restore some of the lost motor abilities.
However, learning to control an advanced prosthesis can be a challenging task,
but virtual and augmented reality (AR) provide means to create an engaging and
motivating training.\r\n \r\n Methods\r\n
\ In this study, we present a novel training framework that
integrates virtual elements within a real scene (AR) while allowing the view from
the first-person perspective. The framework was evaluated in 13 able-bodied subjects
and a limb-deficient person divided into intervention (IG) and control (CG) groups.
The IG received training by performing simulated clothespin task and both groups
conducted a pre- and posttest with a real prosthesis. When training with the AR,
the subjects received visual feedback on the generated grasping force. The main
outcome measure was the number of pins that were successfully transferred within
20 min (task duration), while the number of dropped and broken pins were also
registered. The participants were asked to score the difficulty of the real task
(posttest), fun-factor and motivation, as well as the utility of the feedback.\r\n
\ \r\n Results\r\n
\ The performance (median/interquartile range) consistently
increased during the training sessions (4/3 to 22/4). While the results were similar
for the two groups in the pretest, the performance improved in the posttest only
in IG. In addition, the subjects in IG transferred significantly more pins (28/10.5
versus 14.5/11), and dropped (1/2.5 versus 3.5/2) and broke (5/3.8 versus 14.5/9)
significantly fewer pins in the posttest compared to CG. The participants in IG
assigned (mean ± std) significantly lower scores to the difficulty compared to
CG (5.2 ± 1.9 versus 7.1 ± 0.9), and they highly rated the fun factor (8.7 ± 1.3)
and usefulness of feedback (8.5 ± 1.7).\r\n \r\n
\ Conclusion\r\n The
results demonstrated that the proposed AR system allows for the transfer of skills
from the simulated to the real task while providing a positive user experience.
The present study demonstrates the effectiveness and flexibility of the proposed
AR framework. Importantly, the developed system is open source and available for
download and further development.\r\n "
article_number: '25'
author:
- first_name: Alexander
full_name: Boschmann, Alexander
last_name: Boschmann
- first_name: Dorothee
full_name: Neuhaus, Dorothee
last_name: Neuhaus
- first_name: Sarah
full_name: Vogt, Sarah
last_name: Vogt
- first_name: Christian
full_name: Kaltschmidt, Christian
last_name: Kaltschmidt
- first_name: Marco
full_name: Platzner, Marco
id: '398'
last_name: Platzner
- first_name: Strahinja
full_name: Dosen, Strahinja
last_name: Dosen
citation:
ama: Boschmann A, Neuhaus D, Vogt S, Kaltschmidt C, Platzner M, Dosen S. Immersive
augmented reality system for the training of pattern classification control with
a myoelectric prosthesis. Journal of NeuroEngineering and Rehabilitation.
2021;18(1). doi:10.1186/s12984-021-00822-6
apa: Boschmann, A., Neuhaus, D., Vogt, S., Kaltschmidt, C., Platzner, M., &
Dosen, S. (2021). Immersive augmented reality system for the training of pattern
classification control with a myoelectric prosthesis. Journal of NeuroEngineering
and Rehabilitation, 18(1), Article 25. https://doi.org/10.1186/s12984-021-00822-6
bibtex: '@article{Boschmann_Neuhaus_Vogt_Kaltschmidt_Platzner_Dosen_2021, title={Immersive
augmented reality system for the training of pattern classification control with
a myoelectric prosthesis}, volume={18}, DOI={10.1186/s12984-021-00822-6},
number={125}, journal={Journal of NeuroEngineering and Rehabilitation}, publisher={Springer
Science and Business Media LLC}, author={Boschmann, Alexander and Neuhaus, Dorothee
and Vogt, Sarah and Kaltschmidt, Christian and Platzner, Marco and Dosen, Strahinja},
year={2021} }'
chicago: Boschmann, Alexander, Dorothee Neuhaus, Sarah Vogt, Christian Kaltschmidt,
Marco Platzner, and Strahinja Dosen. “Immersive Augmented Reality System for the
Training of Pattern Classification Control with a Myoelectric Prosthesis.” Journal
of NeuroEngineering and Rehabilitation 18, no. 1 (2021). https://doi.org/10.1186/s12984-021-00822-6.
ieee: 'A. Boschmann, D. Neuhaus, S. Vogt, C. Kaltschmidt, M. Platzner, and S. Dosen,
“Immersive augmented reality system for the training of pattern classification
control with a myoelectric prosthesis,” Journal of NeuroEngineering and Rehabilitation,
vol. 18, no. 1, Art. no. 25, 2021, doi: 10.1186/s12984-021-00822-6.'
mla: Boschmann, Alexander, et al. “Immersive Augmented Reality System for the Training
of Pattern Classification Control with a Myoelectric Prosthesis.” Journal of
NeuroEngineering and Rehabilitation, vol. 18, no. 1, 25, Springer Science
and Business Media LLC, 2021, doi:10.1186/s12984-021-00822-6.
short: A. Boschmann, D. Neuhaus, S. Vogt, C. Kaltschmidt, M. Platzner, S. Dosen,
Journal of NeuroEngineering and Rehabilitation 18 (2021).
date_created: 2022-04-18T10:02:20Z
date_updated: 2022-04-18T10:04:16Z
department:
- _id: '78'
doi: 10.1186/s12984-021-00822-6
intvolume: ' 18'
issue: '1'
keyword:
- Health Informatics
- Rehabilitation
language:
- iso: eng
publication: Journal of NeuroEngineering and Rehabilitation
publication_identifier:
issn:
- 1743-0003
publication_status: published
publisher: Springer Science and Business Media LLC
status: public
title: Immersive augmented reality system for the training of pattern classification
control with a myoelectric prosthesis
type: journal_article
user_id: '398'
volume: 18
year: '2021'
...
---
_id: '30907'
author:
- first_name: Alfonso
full_name: Rodriguez, Alfonso
last_name: Rodriguez
- first_name: Andres
full_name: Otero, Andres
last_name: Otero
- first_name: Marco
full_name: Platzner, Marco
id: '398'
last_name: Platzner
- first_name: Eduardo
full_name: De la Torre, Eduardo
last_name: De la Torre
citation:
ama: Rodriguez A, Otero A, Platzner M, De la Torre E. Exploiting Hardware-Based
Data-Parallel and Multithreading Models for Smart Edge Computing in Reconfigurable
FPGAs. IEEE Transactions on Computers. Published online 2021:1-1. doi:10.1109/tc.2021.3107196
apa: Rodriguez, A., Otero, A., Platzner, M., & De la Torre, E. (2021). Exploiting
Hardware-Based Data-Parallel and Multithreading Models for Smart Edge Computing
in Reconfigurable FPGAs. IEEE Transactions on Computers, 1–1. https://doi.org/10.1109/tc.2021.3107196
bibtex: '@article{Rodriguez_Otero_Platzner_De la Torre_2021, title={Exploiting Hardware-Based
Data-Parallel and Multithreading Models for Smart Edge Computing in Reconfigurable
FPGAs}, DOI={10.1109/tc.2021.3107196},
journal={IEEE Transactions on Computers}, publisher={Institute of Electrical and
Electronics Engineers (IEEE)}, author={Rodriguez, Alfonso and Otero, Andres and
Platzner, Marco and De la Torre, Eduardo}, year={2021}, pages={1–1} }'
chicago: Rodriguez, Alfonso, Andres Otero, Marco Platzner, and Eduardo De la Torre.
“Exploiting Hardware-Based Data-Parallel and Multithreading Models for Smart Edge
Computing in Reconfigurable FPGAs.” IEEE Transactions on Computers, 2021,
1–1. https://doi.org/10.1109/tc.2021.3107196.
ieee: 'A. Rodriguez, A. Otero, M. Platzner, and E. De la Torre, “Exploiting Hardware-Based
Data-Parallel and Multithreading Models for Smart Edge Computing in Reconfigurable
FPGAs,” IEEE Transactions on Computers, pp. 1–1, 2021, doi: 10.1109/tc.2021.3107196.'
mla: Rodriguez, Alfonso, et al. “Exploiting Hardware-Based Data-Parallel and Multithreading
Models for Smart Edge Computing in Reconfigurable FPGAs.” IEEE Transactions
on Computers, Institute of Electrical and Electronics Engineers (IEEE), 2021,
pp. 1–1, doi:10.1109/tc.2021.3107196.
short: A. Rodriguez, A. Otero, M. Platzner, E. De la Torre, IEEE Transactions on
Computers (2021) 1–1.
date_created: 2022-04-18T10:03:16Z
date_updated: 2022-04-18T10:04:21Z
department:
- _id: '78'
doi: 10.1109/tc.2021.3107196
keyword:
- Computational Theory and Mathematics
- Hardware and Architecture
- Theoretical Computer Science
- Software
language:
- iso: eng
page: 1-1
publication: IEEE Transactions on Computers
publication_identifier:
issn:
- 0018-9340
- 1557-9956
- 2326-3814
publication_status: published
publisher: Institute of Electrical and Electronics Engineers (IEEE)
status: public
title: Exploiting Hardware-Based Data-Parallel and Multithreading Models for Smart
Edge Computing in Reconfigurable FPGAs
type: journal_article
user_id: '398'
year: '2021'
...
---
_id: '21093'
abstract:
- lang: eng
text: Requirements for energy distribution networks are changing fast due to the
growing share of renewable energy, increasing electrification, and novel consumer
and asset technologies. Since uncertainties about future developments increase
planning difficulty, flexibility potentials such as synergies between the electricity,
gas, heat, and transport sector often remain unused. In this paper, we therefore
present a novel module-based concept for a decision support system that helps
distribution network planners to identify cross-sectoral synergies and to select
optimal network assets such as transformers, cables, pipes, energy storage systems
or energy conversion technology. The concept enables long-term transformation
plans and supports distribution network planners in designing reliable, sustainable
and cost-efficient distribution networks for future demands.
author:
- first_name: Jonas
full_name: Kirchhoff, Jonas
id: '39928'
last_name: Kirchhoff
- first_name: Sascha Christian
full_name: Burmeister, Sascha Christian
id: '32685'
last_name: Burmeister
- first_name: Christoph
full_name: Weskamp, Christoph
last_name: Weskamp
- first_name: Gregor
full_name: Engels, Gregor
id: '107'
last_name: Engels
citation:
ama: 'Kirchhoff J, Burmeister SC, Weskamp C, Engels G. Towards a Decision Support
System for Cross-Sectoral Energy Distribution Network Planning. In: Breitner MH,
Lehnhoff S, Nieße A, Staudt P, Weinhardt C, Werth O, eds. Energy Informatics
and Electro Mobility ICT. ; 2021.'
apa: Kirchhoff, J., Burmeister, S. C., Weskamp, C., & Engels, G. (2021). Towards
a Decision Support System for Cross-Sectoral Energy Distribution Network Planning.
In M. H. Breitner, S. Lehnhoff, A. Nieße, P. Staudt, C. Weinhardt, & O. Werth
(Eds.), Energy Informatics and Electro Mobility ICT.
bibtex: '@inproceedings{Kirchhoff_Burmeister_Weskamp_Engels_2021, title={Towards
a Decision Support System for Cross-Sectoral Energy Distribution Network Planning},
booktitle={Energy Informatics and Electro Mobility ICT}, author={Kirchhoff, Jonas
and Burmeister, Sascha Christian and Weskamp, Christoph and Engels, Gregor}, editor={Breitner,
Michael H. and Lehnhoff, Sebastian and Nieße, Astrid and Staudt, Philipp and Weinhardt,
Christof and Werth, Oliver}, year={2021} }'
chicago: Kirchhoff, Jonas, Sascha Christian Burmeister, Christoph Weskamp, and Gregor
Engels. “Towards a Decision Support System for Cross-Sectoral Energy Distribution
Network Planning.” In Energy Informatics and Electro Mobility ICT, edited
by Michael H. Breitner, Sebastian Lehnhoff, Astrid Nieße, Philipp Staudt, Christof
Weinhardt, and Oliver Werth, 2021.
ieee: J. Kirchhoff, S. C. Burmeister, C. Weskamp, and G. Engels, “Towards a Decision
Support System for Cross-Sectoral Energy Distribution Network Planning,” in Energy
Informatics and Electro Mobility ICT, 2021.
mla: Kirchhoff, Jonas, et al. “Towards a Decision Support System for Cross-Sectoral
Energy Distribution Network Planning.” Energy Informatics and Electro Mobility
ICT, edited by Michael H. Breitner et al., 2021.
short: 'J. Kirchhoff, S.C. Burmeister, C. Weskamp, G. Engels, in: M.H. Breitner,
S. Lehnhoff, A. Nieße, P. Staudt, C. Weinhardt, O. Werth (Eds.), Energy Informatics
and Electro Mobility ICT, 2021.'
conference:
end_date: 2021-03-11
name: Pre-Conference 16. International Congress on Wirtschaftsinformatik Universität
Duisburg-Essen
start_date: 2021-03-08
date_created: 2021-01-28T10:05:44Z
date_updated: 2022-04-30T13:48:49Z
department:
- _id: '534'
- _id: '66'
- _id: '277'
editor:
- first_name: Michael H.
full_name: Breitner, Michael H.
last_name: Breitner
- first_name: Sebastian
full_name: Lehnhoff, Sebastian
last_name: Lehnhoff
- first_name: Astrid
full_name: Nieße, Astrid
last_name: Nieße
- first_name: Philipp
full_name: Staudt, Philipp
last_name: Staudt
- first_name: Christof
full_name: Weinhardt, Christof
last_name: Weinhardt
- first_name: Oliver
full_name: Werth, Oliver
last_name: Werth
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://oops.uni-oldenburg.de/5084/7/proceedings_ow_sto_2021.pdf#page=41
oa: '1'
publication: Energy Informatics and Electro Mobility ICT
status: public
title: Towards a Decision Support System for Cross-Sectoral Energy Distribution Network
Planning
type: conference
user_id: '39928'
year: '2021'
...
---
_id: '28199'
author:
- first_name: Felix
full_name: Pauck, Felix
id: '22398'
last_name: Pauck
- first_name: Heike
full_name: Wehrheim, Heike
id: '573'
last_name: Wehrheim
citation:
ama: 'Pauck F, Wehrheim H. Jicer: Simplifying Cooperative Android App Analysis Tasks.
In: 2021 IEEE 21st International Working Conference on Source Code Analysis
and Manipulation (SCAM). ; 2021. doi:10.1109/scam52516.2021.00031'
apa: 'Pauck, F., & Wehrheim, H. (2021). Jicer: Simplifying Cooperative Android
App Analysis Tasks. 2021 IEEE 21st International Working Conference on Source
Code Analysis and Manipulation (SCAM). https://doi.org/10.1109/scam52516.2021.00031'
bibtex: '@inproceedings{Pauck_Wehrheim_2021, title={Jicer: Simplifying Cooperative
Android App Analysis Tasks}, DOI={10.1109/scam52516.2021.00031},
booktitle={2021 IEEE 21st International Working Conference on Source Code Analysis
and Manipulation (SCAM)}, author={Pauck, Felix and Wehrheim, Heike}, year={2021}
}'
chicago: 'Pauck, Felix, and Heike Wehrheim. “Jicer: Simplifying Cooperative Android
App Analysis Tasks.” In 2021 IEEE 21st International Working Conference on
Source Code Analysis and Manipulation (SCAM), 2021. https://doi.org/10.1109/scam52516.2021.00031.'
ieee: 'F. Pauck and H. Wehrheim, “Jicer: Simplifying Cooperative Android App Analysis
Tasks,” 2021, doi: 10.1109/scam52516.2021.00031.'
mla: 'Pauck, Felix, and Heike Wehrheim. “Jicer: Simplifying Cooperative Android
App Analysis Tasks.” 2021 IEEE 21st International Working Conference on Source
Code Analysis and Manipulation (SCAM), 2021, doi:10.1109/scam52516.2021.00031.'
short: 'F. Pauck, H. Wehrheim, in: 2021 IEEE 21st International Working Conference
on Source Code Analysis and Manipulation (SCAM), 2021.'
date_created: 2021-12-01T08:53:29Z
date_updated: 2022-11-17T14:26:19Z
department:
- _id: '77'
doi: 10.1109/scam52516.2021.00031
language:
- iso: eng
project:
- _id: '12'
name: SFB 901 - Subproject B4
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
publication: 2021 IEEE 21st International Working Conference on Source Code Analysis
and Manipulation (SCAM)
publication_status: published
status: public
title: 'Jicer: Simplifying Cooperative Android App Analysis Tasks'
type: conference
user_id: '477'
year: '2021'
...
---
_id: '26645'
author:
- first_name: Jan
full_name: Bobolz, Jan
id: '27207'
last_name: Bobolz
- first_name: Fabian
full_name: Eidens, Fabian
id: '25078'
last_name: Eidens
- first_name: Raphael
full_name: Heitjohann, Raphael
last_name: Heitjohann
- first_name: Jeremy
full_name: Fell, Jeremy
last_name: Fell
citation:
ama: 'Bobolz J, Eidens F, Heitjohann R, Fell J. Cryptimeleon: A Library for Fast
Prototyping of Privacy-Preserving Cryptographic Schemes. Published online 2021.'
apa: 'Bobolz, J., Eidens, F., Heitjohann, R., & Fell, J. (2021). Cryptimeleon:
A Library for Fast Prototyping of Privacy-Preserving Cryptographic Schemes.
IACR eprint.'
bibtex: '@article{Bobolz_Eidens_Heitjohann_Fell_2021, title={Cryptimeleon: A Library
for Fast Prototyping of Privacy-Preserving Cryptographic Schemes}, publisher={IACR
eprint}, author={Bobolz, Jan and Eidens, Fabian and Heitjohann, Raphael and Fell,
Jeremy}, year={2021} }'
chicago: 'Bobolz, Jan, Fabian Eidens, Raphael Heitjohann, and Jeremy Fell. “Cryptimeleon:
A Library for Fast Prototyping of Privacy-Preserving Cryptographic Schemes.” IACR
eprint, 2021.'
ieee: 'J. Bobolz, F. Eidens, R. Heitjohann, and J. Fell, “Cryptimeleon: A Library
for Fast Prototyping of Privacy-Preserving Cryptographic Schemes.” IACR eprint,
2021.'
mla: 'Bobolz, Jan, et al. Cryptimeleon: A Library for Fast Prototyping of Privacy-Preserving
Cryptographic Schemes. IACR eprint, 2021.'
short: J. Bobolz, F. Eidens, R. Heitjohann, J. Fell, (2021).
date_created: 2021-10-21T07:51:32Z
date_updated: 2022-11-18T09:38:42Z
department:
- _id: '64'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://eprint.iacr.org/2021/961
oa: '1'
project:
- _id: '4'
name: SFB 901 - Project Area C
- _id: '82'
name: SFB 901 - Project Area T
- _id: '84'
name: SFB 901 -Subproject T2
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '13'
name: 'SFB 901 - C1: SFB 901 - Subproject C1'
publisher: IACR eprint
status: public
title: 'Cryptimeleon: A Library for Fast Prototyping of Privacy-Preserving Cryptographic
Schemes'
type: preprint
user_id: '477'
year: '2021'
...
---
_id: '33854'
abstract:
- lang: eng
text: "Macrodiversity is a key technique to increase the capacity of mobile networks.
It can be realized using coordinated multipoint (CoMP), simultaneously connecting
users to multiple overlapping cells. Selecting which users to serve by how many
and which cells is NP-hard but needs to happen continuously in real time as users
move and channel state changes. Existing approaches often require strict assumptions
about or perfect knowledge of the underlying radio system, its resource allocation
scheme, or user movements, none of which is readily available in practice.\r\n\r\nInstead,
we propose three novel self-learning and self-adapting approaches using model-free
deep reinforcement learning (DRL): DeepCoMP, DD-CoMP, and D3-CoMP. DeepCoMP leverages
central observations and control of all users to select cells almost optimally.
DD-CoMP and D3-CoMP use multi-agent DRL, which allows distributed, robust, and
highly scalable coordination. All three approaches learn from experience and self-adapt
to varying scenarios, reaching 2x higher Quality of Experience than other approaches.
They have very few built-in assumptions and do not need prior system knowledge,
making them more robust to change and better applicable in practice than existing
approaches."
author:
- first_name: Stefan Balthasar
full_name: Schneider, Stefan Balthasar
id: '35343'
last_name: Schneider
orcid: 0000-0001-8210-4011
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
- first_name: Ramin
full_name: Khalili, Ramin
last_name: Khalili
- first_name: Artur
full_name: Hecker, Artur
last_name: Hecker
citation:
ama: 'Schneider SB, Karl H, Khalili R, Hecker A. DeepCoMP: Coordinated Multipoint
Using Multi-Agent Deep Reinforcement Learning.; 2021.'
apa: 'Schneider, S. B., Karl, H., Khalili, R., & Hecker, A. (2021). DeepCoMP:
Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning.'
bibtex: '@book{Schneider_Karl_Khalili_Hecker_2021, title={DeepCoMP: Coordinated
Multipoint Using Multi-Agent Deep Reinforcement Learning}, author={Schneider,
Stefan Balthasar and Karl, Holger and Khalili, Ramin and Hecker, Artur}, year={2021}
}'
chicago: 'Schneider, Stefan Balthasar, Holger Karl, Ramin Khalili, and Artur Hecker.
DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning,
2021.'
ieee: 'S. B. Schneider, H. Karl, R. Khalili, and A. Hecker, DeepCoMP: Coordinated
Multipoint Using Multi-Agent Deep Reinforcement Learning. 2021.'
mla: 'Schneider, Stefan Balthasar, et al. DeepCoMP: Coordinated Multipoint Using
Multi-Agent Deep Reinforcement Learning. 2021.'
short: 'S.B. Schneider, H. Karl, R. Khalili, A. Hecker, DeepCoMP: Coordinated Multipoint
Using Multi-Agent Deep Reinforcement Learning, 2021.'
date_created: 2022-10-20T16:44:19Z
date_updated: 2022-11-18T09:59:27Z
ddc:
- '004'
department:
- _id: '75'
file:
- access_level: open_access
content_type: application/pdf
creator: stschn
date_created: 2022-10-20T16:41:10Z
date_updated: 2022-10-20T16:41:10Z
file_id: '33855'
file_name: preprint.pdf
file_size: 2521656
relation: main_file
file_date_updated: 2022-10-20T16:41:10Z
has_accepted_license: '1'
keyword:
- mobility management
- coordinated multipoint
- CoMP
- cell selection
- resource management
- reinforcement learning
- multi agent
- MARL
- self-learning
- self-adaptation
- QoE
language:
- iso: eng
oa: '1'
project:
- _id: '4'
name: 'SFB 901 - C: SFB 901 - Project Area C'
- _id: '16'
name: 'SFB 901 - C4: SFB 901 - Subproject C4'
- _id: '1'
name: 'SFB 901: SFB 901'
status: public
title: 'DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning'
type: working_paper
user_id: '477'
year: '2021'
...
---
_id: '29137'
author:
- first_name: Tim
full_name: Hansmeier, Tim
id: '49992'
last_name: Hansmeier
orcid: 0000-0003-1377-3339
citation:
ama: 'Hansmeier T. Self-aware Operation of Heterogeneous Compute Nodes using the
Learning Classifier System XCS. In: HEART ’21: Proceedings of the 11th International
Symposium on Highly Efficient Accelerators and Reconfigurable Technologies.
Association for Computing Machinery (ACM); 2021. doi:10.1145/3468044.3468055'
apa: 'Hansmeier, T. (2021). Self-aware Operation of Heterogeneous Compute Nodes
using the Learning Classifier System XCS. HEART ’21: Proceedings of the 11th
International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies.
International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies
(HEART ’21), Online. https://doi.org/10.1145/3468044.3468055'
bibtex: '@inproceedings{Hansmeier_2021, place={New York, NY, United States}, title={Self-aware
Operation of Heterogeneous Compute Nodes using the Learning Classifier System
XCS}, DOI={10.1145/3468044.3468055},
booktitle={HEART ’21: Proceedings of the 11th International Symposium on Highly
Efficient Accelerators and Reconfigurable Technologies}, publisher={Association
for Computing Machinery (ACM)}, author={Hansmeier, Tim}, year={2021} }'
chicago: 'Hansmeier, Tim. “Self-Aware Operation of Heterogeneous Compute Nodes Using
the Learning Classifier System XCS.” In HEART ’21: Proceedings of the 11th
International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies.
New York, NY, United States: Association for Computing Machinery (ACM), 2021.
https://doi.org/10.1145/3468044.3468055.'
ieee: 'T. Hansmeier, “Self-aware Operation of Heterogeneous Compute Nodes using
the Learning Classifier System XCS,” presented at the International Symposium
on Highly Efficient Accelerators and Reconfigurable Technologies (HEART ’21),
Online, 2021, doi: 10.1145/3468044.3468055.'
mla: 'Hansmeier, Tim. “Self-Aware Operation of Heterogeneous Compute Nodes Using
the Learning Classifier System XCS.” HEART ’21: Proceedings of the 11th International
Symposium on Highly Efficient Accelerators and Reconfigurable Technologies,
Association for Computing Machinery (ACM), 2021, doi:10.1145/3468044.3468055.'
short: 'T. Hansmeier, in: HEART ’21: Proceedings of the 11th International Symposium
on Highly Efficient Accelerators and Reconfigurable Technologies, Association
for Computing Machinery (ACM), New York, NY, United States, 2021.'
conference:
end_date: 2021-06-23
location: Online
name: International Symposium on Highly Efficient Accelerators and Reconfigurable
Technologies (HEART ’21)
start_date: 2021-06-21
date_created: 2021-12-27T12:01:02Z
date_updated: 2022-11-18T10:03:24Z
department:
- _id: '78'
doi: 10.1145/3468044.3468055
language:
- iso: eng
place: New York, NY, United States
project:
- _id: '4'
name: SFB 901 - Project Area C
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '14'
name: 'SFB 901 - C2: SFB 901 - Subproject C2'
publication: 'HEART ''21: Proceedings of the 11th International Symposium on Highly
Efficient Accelerators and Reconfigurable Technologies'
publication_status: published
publisher: Association for Computing Machinery (ACM)
status: public
title: Self-aware Operation of Heterogeneous Compute Nodes using the Learning Classifier
System XCS
type: conference
user_id: '477'
year: '2021'
...
---
_id: '28683'
abstract:
- lang: ger
text: "In den letzten Jahren haben sich Software-Ökosysteme als neue, erfolgreiche
Geschäftsform etabliert. Unternehmen agieren hierbei als Anbieter von Software-Plattformen,
auf denen Drittanbieter Softwarelösungen für den Markt anbieten können. Etablierte
Beispiele sind hierbei sogenannte App-Stores, die z.B. von Google oder Apple angeboten
werden.\r\n\r\nBeim Aufbau von Software-Ökosystemen müssen vom Plattformanbieter
viele architektonische Entwurfsentscheidungen getroffen werden. Bisher gibt es
keine Architekturrichtlinien und -werkzeuge, die den Entwurf einer Ökosystemarchitektur
unterstützen. Dadurch fehlt hier systematisches, wiederverwendbares Wissen. Plattformanbieter
müssen auf ad-hoc Entscheidungen zurückgreifen. Dies kann dann zu Problemen im
Betrieb der Software-Plattformen führen, zu erhöhten Ausfallrisiken und Mehrkosten.\r\n\r\nDer
Mangel an Architekturwissen manifestiert sich konkret in zwei Gruppen von Herausforderungen:
Erstens fehlt eine Wissensbasis zu Architekturalternativen und zweitens fehlt
es an methodischem Wissen zu Entwicklung und Betrieb von Software-Ökosystemen.
Eine Architekturwissensbasis würde Orientierungshilfen zu den Bestandteilen von
Software-Ökosystemen und deren Abhängigkeiten geben, während methodisches Wissen
die Erstellung dieser Systeme erleichtern würde.\r\n\r\nIn der Dissertation werden
diese Herausforderungen durch die Entwicklung des Frameworks SecoArc für die Modellierung
von Software-Ökosystemen angegangen. Der Beitrag der Dissertation ist zweifach:
\r\n1.\tDas SecoArc-Framework umfasst eine Architekturwissensbasis, die wiederverwendbare
Architekturentwurfsentscheidungen\r\nvon Software-Ökosystemen enthält. Die Wissensbasis
wurde entwickelt, indem das Architekturwissen bestehender Ökosysteme sowie aus
existierender Fachliteratur ermittelt wurde und in einer Produktlinie für Software-Ökosysteme
konsolidiert wurde. Die Produktlinie umfasst architektonische Gemeinsamkeiten
und Variabilitäten von Software-Ökosystemen. \r\n2.\tDas SecoArc-Framework liefert
methodisches Wissen, um die Ökosystemarchitektur in Modellen zu entwerfen und
zu analysieren. Dieses Wissen wurde entwickelt, indem drei Architekturmuster identifiziert
wurden. Jedes Muster erfasst unterschiedliche Beziehungen zwischen architektonischen
Entwurfsentscheidungen zu den Qualitätsmerkmalen einer Ökosystemgesundheit und
der Erreichung von Geschäftszielen. \r\n\r\nDie Architekturmuster und die Produktlinie
wurden dazu genutzt, ein Modellierungsframework zu entwickeln und in Form eines
Prototypen umzusetzen, welches einen Entwurfsprozess, eine Modellierungssprache
und eine Architekturanalysetechnik umfasst. Es erleichtert das Modellieren, Analysieren
und Vergleichen von Ökosystemarchitekturen.\r\n\r\nDie Ergebnisse der Dissertation
wurden im Rahmen von zwei Studien evaluiert. In der ersten Validierungsstudie
wurden das Framework sowie der Prototyp verwendet, um zwei alternative Ökosystemarchitekturen
zu entwerfen und zu analysieren. In der zweiten Studie wurde eine Analyse von
existierenden Ökosystemen basierend auf den architektonischen Variabilitäten des
Frameworks durchgeführt."
author:
- first_name: Bahar
full_name: Schwichtenberg, Bahar
id: '36399'
last_name: Schwichtenberg
citation:
ama: Schwichtenberg B. Modeling and Analyzing Software Ecosystems.; 2021.
doi:10.17619/UNIPB/1-1270
apa: Schwichtenberg, B. (2021). Modeling and Analyzing Software Ecosystems.
https://doi.org/10.17619/UNIPB/1-1270
bibtex: '@book{Schwichtenberg_2021, title={Modeling and Analyzing Software Ecosystems},
DOI={10.17619/UNIPB/1-1270 },
author={Schwichtenberg, Bahar}, year={2021} }'
chicago: Schwichtenberg, Bahar. Modeling and Analyzing Software Ecosystems,
2021. https://doi.org/10.17619/UNIPB/1-1270
.
ieee: B. Schwichtenberg, Modeling and Analyzing Software Ecosystems. 2021.
mla: Schwichtenberg, Bahar. Modeling and Analyzing Software Ecosystems. 2021,
doi:10.17619/UNIPB/1-1270 .
short: B. Schwichtenberg, Modeling and Analyzing Software Ecosystems, 2021.
date_created: 2021-12-13T07:20:33Z
date_updated: 2022-12-30T22:15:37Z
ddc:
- '000'
department:
- _id: '66'
doi: '10.17619/UNIPB/1-1270 '
file:
- access_level: closed
content_type: application/pdf
creator: bahareh
date_created: 2022-12-30T22:15:15Z
date_updated: 2022-12-30T22:15:15Z
file_id: '35069'
file_name: Bahar_Schwichtenberg_Thesis.pdf
file_size: 9125342
relation: main_file
success: 1
file_date_updated: 2022-12-30T22:15:15Z
has_accepted_license: '1'
keyword:
- Enterprise Architecture
- Architectural Design Decisions
- Open Platforms
language:
- iso: eng
project:
- _id: '4'
name: SFB 901 - Project Area C
- _id: '17'
name: SFB 901 - Subproject C5
- _id: '1'
name: 'SFB 901: SFB 901'
status: public
supervisor:
- first_name: Gregor
full_name: Engels, Gregor
id: '107'
last_name: Engels
title: Modeling and Analyzing Software Ecosystems
type: dissertation
user_id: '36399'
year: '2021'
...
---
_id: '26986'
author:
- first_name: Jannik
full_name: Castenow, Jannik
id: '38705'
last_name: Castenow
- first_name: Thorsten
full_name: Götte, Thorsten
id: '34727'
last_name: Götte
- first_name: Till
full_name: Knollmann, Till
id: '39241'
last_name: Knollmann
orcid: 0000-0003-2014-4696
- first_name: Friedhelm
full_name: Meyer auf der Heide, Friedhelm
id: '15523'
last_name: Meyer auf der Heide
citation:
ama: 'Castenow J, Götte T, Knollmann T, Meyer auf der Heide F. The Max-Line-Formation
Problem – And New Insights for Gathering and Chain-Formation. In: Johnen C, Schiller
EM, Schmid S, eds. Proceedings of the 23rd International Symposium on Stabilization,
Safety, and Security of Distributed Systems, SSS 2021. Vol 13046. LNCS. Springer;
2021:289-304. doi:10.1007/978-3-030-91081-5_19'
apa: Castenow, J., Götte, T., Knollmann, T., & Meyer auf der Heide, F. (2021).
The Max-Line-Formation Problem – And New Insights for Gathering and Chain-Formation.
In C. Johnen, E. M. Schiller, & S. Schmid (Eds.), Proceedings of the 23rd
International Symposium on Stabilization, Safety, and Security of Distributed
Systems, SSS 2021 (Vol. 13046, pp. 289–304). Springer. https://doi.org/10.1007/978-3-030-91081-5_19
bibtex: '@inproceedings{Castenow_Götte_Knollmann_Meyer auf der Heide_2021, series={LNCS},
title={The Max-Line-Formation Problem – And New Insights for Gathering and Chain-Formation},
volume={13046}, DOI={10.1007/978-3-030-91081-5_19},
booktitle={Proceedings of the 23rd International Symposium on Stabilization, Safety,
and Security of Distributed Systems, SSS 2021}, publisher={Springer}, author={Castenow,
Jannik and Götte, Thorsten and Knollmann, Till and Meyer auf der Heide, Friedhelm},
editor={Johnen, C. and Schiller, E.M. and Schmid, S.}, year={2021}, pages={289–304},
collection={LNCS} }'
chicago: Castenow, Jannik, Thorsten Götte, Till Knollmann, and Friedhelm Meyer auf
der Heide. “The Max-Line-Formation Problem – And New Insights for Gathering and
Chain-Formation.” In Proceedings of the 23rd International Symposium on Stabilization,
Safety, and Security of Distributed Systems, SSS 2021, edited by C. Johnen,
E.M. Schiller, and S. Schmid, 13046:289–304. LNCS. Springer, 2021. https://doi.org/10.1007/978-3-030-91081-5_19.
ieee: 'J. Castenow, T. Götte, T. Knollmann, and F. Meyer auf der Heide, “The Max-Line-Formation
Problem – And New Insights for Gathering and Chain-Formation,” in Proceedings
of the 23rd International Symposium on Stabilization, Safety, and Security of
Distributed Systems, SSS 2021, Online, 2021, vol. 13046, pp. 289–304, doi:
10.1007/978-3-030-91081-5_19.'
mla: Castenow, Jannik, et al. “The Max-Line-Formation Problem – And New Insights
for Gathering and Chain-Formation.” Proceedings of the 23rd International Symposium
on Stabilization, Safety, and Security of Distributed Systems, SSS 2021, edited
by C. Johnen et al., vol. 13046, Springer, 2021, pp. 289–304, doi:10.1007/978-3-030-91081-5_19.
short: 'J. Castenow, T. Götte, T. Knollmann, F. Meyer auf der Heide, in: C. Johnen,
E.M. Schiller, S. Schmid (Eds.), Proceedings of the 23rd International Symposium
on Stabilization, Safety, and Security of Distributed Systems, SSS 2021, Springer,
2021, pp. 289–304.'
conference:
end_date: 2021-11-20
location: Online
name: 23rd International Symposium on Stabilization, Safety, and Security of Distributed
Systems
start_date: 2021-11-17
date_created: 2021-10-28T07:01:30Z
date_updated: 2022-01-07T15:24:10Z
department:
- _id: '63'
doi: 10.1007/978-3-030-91081-5_19
editor:
- first_name: C.
full_name: Johnen, C.
last_name: Johnen
- first_name: E.M.
full_name: Schiller, E.M.
last_name: Schiller
- first_name: S.
full_name: Schmid, S.
last_name: Schmid
external_id:
arxiv:
- '2109.11856'
intvolume: ' 13046'
language:
- iso: eng
page: '289-304 '
project:
- _id: '106'
name: 'Algorithmen für Schwarmrobotik: Verteiltes Rechnen trifft Dynamische Systeme'
publication: Proceedings of the 23rd International Symposium on Stabilization, Safety,
and Security of Distributed Systems, SSS 2021
publication_status: published
publisher: Springer
series_title: LNCS
status: public
title: The Max-Line-Formation Problem – And New Insights for Gathering and Chain-Formation
type: conference
user_id: '38705'
volume: 13046
year: '2021'
...
---
_id: '29486'
author:
- first_name: Asep Fajar
full_name: Firmansyah, Asep Fajar
id: '76787'
last_name: Firmansyah
- first_name: Diego
full_name: Moussallem, Diego
id: '71635'
last_name: Moussallem
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Firmansyah AF, Moussallem D, Ngonga Ngomo A-C. GATES: Using Graph Attention
Networks for Entity Summarization. In: Proceedings of the 11th on Knowledge
Capture Conference. ACM; 2021:73–80. doi:10.1145/3460210.3493574'
apa: 'Firmansyah, A. F., Moussallem, D., & Ngonga Ngomo, A.-C. (2021). GATES:
Using Graph Attention Networks for Entity Summarization. Proceedings of the
11th on Knowledge Capture Conference, 73–80. https://doi.org/10.1145/3460210.3493574'
bibtex: '@inproceedings{Firmansyah_Moussallem_Ngonga Ngomo_2021, place={Virtual
Event, USA}, title={GATES: Using Graph Attention Networks for Entity Summarization},
DOI={10.1145/3460210.3493574},
booktitle={Proceedings of the 11th on Knowledge Capture Conference}, publisher={ACM},
author={Firmansyah, Asep Fajar and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille},
year={2021}, pages={73–80} }'
chicago: 'Firmansyah, Asep Fajar, Diego Moussallem, and Axel-Cyrille Ngonga Ngomo.
“GATES: Using Graph Attention Networks for Entity Summarization.” In Proceedings
of the 11th on Knowledge Capture Conference, 73–80. Virtual Event, USA: ACM,
2021. https://doi.org/10.1145/3460210.3493574.'
ieee: 'A. F. Firmansyah, D. Moussallem, and A.-C. Ngonga Ngomo, “GATES: Using Graph
Attention Networks for Entity Summarization,” in Proceedings of the 11th on
Knowledge Capture Conference, 2021, pp. 73–80, doi: 10.1145/3460210.3493574.'
mla: 'Firmansyah, Asep Fajar, et al. “GATES: Using Graph Attention Networks for
Entity Summarization.” Proceedings of the 11th on Knowledge Capture Conference,
ACM, 2021, pp. 73–80, doi:10.1145/3460210.3493574.'
short: 'A.F. Firmansyah, D. Moussallem, A.-C. Ngonga Ngomo, in: Proceedings of the
11th on Knowledge Capture Conference, ACM, Virtual Event, USA, 2021, pp. 73–80.'
date_created: 2022-01-20T08:37:12Z
date_updated: 2022-01-20T09:03:38Z
department:
- _id: '574'
doi: 10.1145/3460210.3493574
language:
- iso: eng
page: 73–80
place: Virtual Event, USA
publication: Proceedings of the 11th on Knowledge Capture Conference
publication_identifier:
isbn:
- 978-1-4503-8457-5
publication_status: published
publisher: ACM
status: public
title: 'GATES: Using Graph Attention Networks for Entity Summarization'
type: conference
user_id: '76787'
year: '2021'
...
---
_id: '29566'
author:
- first_name: Jan
full_name: Bobolz, Jan
id: '27207'
last_name: Bobolz
- first_name: Fabian
full_name: Eidens, Fabian
id: '25078'
last_name: Eidens
- first_name: Stephan
full_name: Krenn, Stephan
last_name: Krenn
- first_name: Sebastian
full_name: Ramacher, Sebastian
last_name: Ramacher
- first_name: Kai
full_name: Samelin, Kai
last_name: Samelin
citation:
ama: 'Bobolz J, Eidens F, Krenn S, Ramacher S, Samelin K. Issuer-Hiding Attribute-Based
Credentials. In: Cryptology and Network Security. Springer International
Publishing; 2021. doi:10.1007/978-3-030-92548-2_9'
apa: Bobolz, J., Eidens, F., Krenn, S., Ramacher, S., & Samelin, K. (2021).
Issuer-Hiding Attribute-Based Credentials. Cryptology and Network Security.
https://doi.org/10.1007/978-3-030-92548-2_9
bibtex: '@inproceedings{Bobolz_Eidens_Krenn_Ramacher_Samelin_2021, place={Cham},
title={Issuer-Hiding Attribute-Based Credentials}, DOI={10.1007/978-3-030-92548-2_9},
booktitle={Cryptology and Network Security}, publisher={Springer International
Publishing}, author={Bobolz, Jan and Eidens, Fabian and Krenn, Stephan and Ramacher,
Sebastian and Samelin, Kai}, year={2021} }'
chicago: 'Bobolz, Jan, Fabian Eidens, Stephan Krenn, Sebastian Ramacher, and Kai
Samelin. “Issuer-Hiding Attribute-Based Credentials.” In Cryptology and Network
Security. Cham: Springer International Publishing, 2021. https://doi.org/10.1007/978-3-030-92548-2_9.'
ieee: 'J. Bobolz, F. Eidens, S. Krenn, S. Ramacher, and K. Samelin, “Issuer-Hiding
Attribute-Based Credentials,” 2021, doi: 10.1007/978-3-030-92548-2_9.'
mla: Bobolz, Jan, et al. “Issuer-Hiding Attribute-Based Credentials.” Cryptology
and Network Security, Springer International Publishing, 2021, doi:10.1007/978-3-030-92548-2_9.
short: 'J. Bobolz, F. Eidens, S. Krenn, S. Ramacher, K. Samelin, in: Cryptology
and Network Security, Springer International Publishing, Cham, 2021.'
date_created: 2022-01-27T13:00:21Z
date_updated: 2022-01-27T13:02:23Z
department:
- _id: '7'
- _id: '64'
doi: 10.1007/978-3-030-92548-2_9
language:
- iso: eng
place: Cham
project:
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '4'
name: 'SFB 901 - C: SFB 901 - Project Area C'
- _id: '13'
name: 'SFB 901 - C1: SFB 901 - Subproject C1'
publication: Cryptology and Network Security
publication_identifier:
isbn:
- '9783030925475'
- '9783030925482'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer International Publishing
status: public
title: Issuer-Hiding Attribute-Based Credentials
type: conference
user_id: '27207'
year: '2021'
...
---
_id: '28463'
author:
- first_name: Simon
full_name: Hanisch, Simon
last_name: Hanisch
- first_name: Patricia
full_name: Arias Cabarcos, Patricia
id: '92804'
last_name: Arias Cabarcos
- first_name: Javier
full_name: Parra-Arnau, Javier
last_name: Parra-Arnau
- first_name: Thorsten
full_name: Strufe, Thorsten
last_name: Strufe
citation:
ama: 'Hanisch S, Arias Cabarcos P, Parra-Arnau J, Strufe T. Privacy-Protecting Techniques
for Behavioral Data: A Survey. CoRR. 2021;abs/2109.04120.'
apa: 'Hanisch, S., Arias Cabarcos, P., Parra-Arnau, J., & Strufe, T. (2021).
Privacy-Protecting Techniques for Behavioral Data: A Survey. CoRR, abs/2109.04120.'
bibtex: '@article{Hanisch_Arias Cabarcos_Parra-Arnau_Strufe_2021, title={Privacy-Protecting
Techniques for Behavioral Data: A Survey}, volume={abs/2109.04120}, journal={CoRR},
author={Hanisch, Simon and Arias Cabarcos, Patricia and Parra-Arnau, Javier and
Strufe, Thorsten}, year={2021} }'
chicago: 'Hanisch, Simon, Patricia Arias Cabarcos, Javier Parra-Arnau, and Thorsten
Strufe. “Privacy-Protecting Techniques for Behavioral Data: A Survey.” CoRR
abs/2109.04120 (2021).'
ieee: 'S. Hanisch, P. Arias Cabarcos, J. Parra-Arnau, and T. Strufe, “Privacy-Protecting
Techniques for Behavioral Data: A Survey,” CoRR, vol. abs/2109.04120, 2021.'
mla: 'Hanisch, Simon, et al. “Privacy-Protecting Techniques for Behavioral Data:
A Survey.” CoRR, vol. abs/2109.04120, 2021.'
short: S. Hanisch, P. Arias Cabarcos, J. Parra-Arnau, T. Strufe, CoRR abs/2109.04120
(2021).
date_created: 2021-12-08T19:13:24Z
date_updated: 2022-01-27T17:02:27Z
department:
- _id: '679'
extern: '1'
language:
- iso: eng
publication: CoRR
status: public
title: 'Privacy-Protecting Techniques for Behavioral Data: A Survey'
type: journal_article
user_id: '92804'
volume: abs/2109.04120
year: '2021'
...
---
_id: '28462'
author:
- first_name: Patricia
full_name: Arias Cabarcos, Patricia
id: '92804'
last_name: Arias Cabarcos
- first_name: Thilo
full_name: Habrich, Thilo
last_name: Habrich
- first_name: Karen
full_name: Becker, Karen
last_name: Becker
- first_name: Christian
full_name: Becker, Christian
last_name: Becker
- first_name: Thorsten
full_name: Strufe, Thorsten
last_name: Strufe
citation:
ama: 'Arias Cabarcos P, Habrich T, Becker K, Becker C, Strufe T. Inexpensive Brainwave
Authentication: New Techniques and Insights on User Acceptance. In: Bailey M,
Greenstadt R, eds. 30th {USENIX} Security Symposium, {USENIX} Security 2021,
August 11-13, 2021. {USENIX} Association; 2021:55-72.'
apa: 'Arias Cabarcos, P., Habrich, T., Becker, K., Becker, C., & Strufe, T.
(2021). Inexpensive Brainwave Authentication: New Techniques and Insights on User
Acceptance. In M. Bailey & R. Greenstadt (Eds.), 30th {USENIX} Security
Symposium, {USENIX} Security 2021, August 11-13, 2021 (pp. 55–72). {USENIX}
Association.'
bibtex: '@inproceedings{Arias Cabarcos_Habrich_Becker_Becker_Strufe_2021, title={Inexpensive
Brainwave Authentication: New Techniques and Insights on User Acceptance}, booktitle={30th
{USENIX} Security Symposium, {USENIX} Security 2021, August 11-13, 2021}, publisher={{USENIX}
Association}, author={Arias Cabarcos, Patricia and Habrich, Thilo and Becker,
Karen and Becker, Christian and Strufe, Thorsten}, editor={Bailey, Michael and
Greenstadt, Rachel}, year={2021}, pages={55–72} }'
chicago: 'Arias Cabarcos, Patricia, Thilo Habrich, Karen Becker, Christian Becker,
and Thorsten Strufe. “Inexpensive Brainwave Authentication: New Techniques and
Insights on User Acceptance.” In 30th {USENIX} Security Symposium, {USENIX}
Security 2021, August 11-13, 2021, edited by Michael Bailey and Rachel Greenstadt,
55–72. {USENIX} Association, 2021.'
ieee: 'P. Arias Cabarcos, T. Habrich, K. Becker, C. Becker, and T. Strufe, “Inexpensive
Brainwave Authentication: New Techniques and Insights on User Acceptance,” in
30th {USENIX} Security Symposium, {USENIX} Security 2021, August 11-13, 2021,
2021, pp. 55–72.'
mla: 'Arias Cabarcos, Patricia, et al. “Inexpensive Brainwave Authentication: New
Techniques and Insights on User Acceptance.” 30th {USENIX} Security Symposium,
{USENIX} Security 2021, August 11-13, 2021, edited by Michael Bailey and Rachel
Greenstadt, {USENIX} Association, 2021, pp. 55–72.'
short: 'P. Arias Cabarcos, T. Habrich, K. Becker, C. Becker, T. Strufe, in: M. Bailey,
R. Greenstadt (Eds.), 30th {USENIX} Security Symposium, {USENIX} Security 2021,
August 11-13, 2021, {USENIX} Association, 2021, pp. 55–72.'
date_created: 2021-12-08T19:13:22Z
date_updated: 2022-01-27T17:09:45Z
department:
- _id: '679'
editor:
- first_name: Michael
full_name: Bailey, Michael
last_name: Bailey
- first_name: Rachel
full_name: Greenstadt, Rachel
last_name: Greenstadt
extern: '1'
language:
- iso: eng
page: 55-72
publication: 30th {USENIX} Security Symposium, {USENIX} Security 2021, August 11-13,
2021
publisher: '{USENIX} Association'
status: public
title: 'Inexpensive Brainwave Authentication: New Techniques and Insights on User
Acceptance'
type: conference
user_id: '92804'
year: '2021'
...
---
_id: '29540'
abstract:
- lang: eng
text: "Autonomous mobile robots are becoming increasingly more capable and widespread.
Reliable Obstacle avoidance is an integral part of autonomous navigation. This
involves real time interpretation and processing of a complex environment. Strict
time and energy constraints of a mobile autonomous system make efficient computation
extremely desirable. The benefits of employing Hardware/Software co-designed applications
are obvious and significant. Hardware accelerators are used for efficient processing
of the algorithms by exploiting parallelism. FPGAs are a class of hardware accelerators,
which\r\ncan contain hundreds of small execution units, and can be used for Hardware/Software
co-designed application. However, there is a reluctance when it comes to adoption
of these devices in well established application domains, such as Robotics, due
to a steep learning curve needed for FPGA application design. ReconROS has successfully
bridged the gap between robotic and FPGA application development, by providing
an intuitive, common development platform for robotic application development
for FPGA. It does so by integrating Robotics Operating System(ROS) which is an
industry and academia standard for robotics application development, with ReconOS,
an operating system for re-configurable hardware. In this thesis an obstacle avoidance
system is designed and implemented for an autonomous vehicle using ReconROS. The
objectives of the thesis is to demonstrate and explore ReconROS integration within
the ROS ecosystem and explore the design process within ReconROS framework, and
to demonstrate the effectiveness of Hardware Acceleration in Robotics, by analysing
the resulting architectures for Latency and Power Consumption."
author:
- first_name: Muhammad Aamir
full_name: Sheikh, Muhammad Aamir
last_name: Sheikh
citation:
ama: Sheikh MA. Design and Implementation of a ReconROS-Based Obstacle Avoidance
System. Paderborn University; 2021.
apa: Sheikh, M. A. (2021). Design and Implementation of a ReconROS-based Obstacle
Avoidance System. Paderborn University.
bibtex: '@book{Sheikh_2021, title={Design and Implementation of a ReconROS-based
Obstacle Avoidance System}, publisher={Paderborn University}, author={Sheikh,
Muhammad Aamir}, year={2021} }'
chicago: Sheikh, Muhammad Aamir. Design and Implementation of a ReconROS-Based
Obstacle Avoidance System. Paderborn University, 2021.
ieee: M. A. Sheikh, Design and Implementation of a ReconROS-based Obstacle Avoidance
System. Paderborn University, 2021.
mla: Sheikh, Muhammad Aamir. Design and Implementation of a ReconROS-Based Obstacle
Avoidance System. Paderborn University, 2021.
short: M.A. Sheikh, Design and Implementation of a ReconROS-Based Obstacle Avoidance
System, Paderborn University, 2021.
date_created: 2022-01-26T08:50:52Z
date_updated: 2022-01-28T08:30:46Z
department:
- _id: '78'
language:
- iso: eng
publisher: Paderborn University
status: public
supervisor:
- first_name: Marco
full_name: Platzner, Marco
id: '398'
last_name: Platzner
- first_name: Christian
full_name: Lienen, Christian
id: '60323'
last_name: Lienen
title: Design and Implementation of a ReconROS-based Obstacle Avoidance System
type: mastersthesis
user_id: '60323'
year: '2021'
...
---
_id: '22764'
abstract:
- lang: eng
text: Robotics applications process large amounts of data in real-time and require
compute platforms that provide high performance and energy-efficiency. FPGAs are
well-suited for many of these applications, but there is a reluctance in the robotics
community to use hardware acceleration due to increased design complexity and
a lack of consistent programming models across the software/hardware boundary.
In this paper we present ReconROS, a framework that integrates the widely-used
robot operating system (ROS) with ReconOS, which features multithreaded programming
of hardware and software threads for reconfigurable computers. This unique combination
gives ROS2 developers the flexibility to transparently accelerate parts of their
robotics applications in hardware. We elaborate on the architecture and the design
flow for ReconROS and report on a set of experiments that underline the feasibility
and flexibility of our approach.
author:
- first_name: Christian
full_name: Lienen, Christian
id: '60323'
last_name: Lienen
- first_name: Marco
full_name: Platzner, Marco
id: '398'
last_name: Platzner
citation:
ama: Lienen C, Platzner M. Design of Distributed Reconfigurable Robotics Systems
with ReconROS. arXiv:210707208. Published online 2021.
apa: Lienen, C., & Platzner, M. (2021). Design of Distributed Reconfigurable
Robotics Systems with ReconROS. In arXiv:2107.07208.
bibtex: '@article{Lienen_Platzner_2021, title={Design of Distributed Reconfigurable
Robotics Systems with ReconROS}, journal={arXiv:2107.07208}, author={Lienen, Christian
and Platzner, Marco}, year={2021} }'
chicago: Lienen, Christian, and Marco Platzner. “Design of Distributed Reconfigurable
Robotics Systems with ReconROS.” ArXiv:2107.07208, 2021.
ieee: C. Lienen and M. Platzner, “Design of Distributed Reconfigurable Robotics
Systems with ReconROS,” arXiv:2107.07208. 2021.
mla: Lienen, Christian, and Marco Platzner. “Design of Distributed Reconfigurable
Robotics Systems with ReconROS.” ArXiv:2107.07208, 2021.
short: C. Lienen, M. Platzner, ArXiv:2107.07208 (2021).
date_created: 2021-07-16T05:38:56Z
date_updated: 2022-01-28T08:30:24Z
department:
- _id: '78'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/2107.07208
oa: '1'
page: '19'
publication: arXiv:2107.07208
status: public
title: Design of Distributed Reconfigurable Robotics Systems with ReconROS
type: preprint
user_id: '60323'
year: '2021'
...
---
_id: '29707'
author:
- first_name: Dominik
full_name: Bechinie, Dominik
last_name: Bechinie
- first_name: Katja
full_name: Eilerts, Katja
last_name: Eilerts
- first_name: Tobias
full_name: Huhmann, Tobias
last_name: Huhmann
- first_name: Michael
full_name: Lenke, Michael
last_name: Lenke
- first_name: Carsten
full_name: Schulte, Carsten
id: '60311'
last_name: Schulte
- first_name: Felix
full_name: Winkelnkemper, Felix
id: '3117'
last_name: Winkelnkemper
citation:
ama: 'Bechinie D, Eilerts K, Huhmann T, Lenke M, Schulte C, Winkelnkemper F. Geometrielernen
digital unterstützen - Räumliche Kompetenzen und individuelle Lernwege mittels
adaptierbarer algorithmischer Rückmeldemöglichkeiten fördern. In: Beiträge
zum Mathematikunterricht 2021. WTM Verlag, Münster; 2021.'
apa: Bechinie, D., Eilerts, K., Huhmann, T., Lenke, M., Schulte, C., & Winkelnkemper,
F. (2021). Geometrielernen digital unterstützen - Räumliche Kompetenzen und individuelle
Lernwege mittels adaptierbarer algorithmischer Rückmeldemöglichkeiten fördern.
Beiträge zum Mathematikunterricht 2021.
bibtex: '@inproceedings{Bechinie_Eilerts_Huhmann_Lenke_Schulte_Winkelnkemper_2021,
title={Geometrielernen digital unterstützen - Räumliche Kompetenzen und individuelle
Lernwege mittels adaptierbarer algorithmischer Rückmeldemöglichkeiten fördern},
booktitle={Beiträge zum Mathematikunterricht 2021}, publisher={WTM Verlag, Münster},
author={Bechinie, Dominik and Eilerts, Katja and Huhmann, Tobias and Lenke, Michael
and Schulte, Carsten and Winkelnkemper, Felix}, year={2021} }'
chicago: Bechinie, Dominik, Katja Eilerts, Tobias Huhmann, Michael Lenke, Carsten
Schulte, and Felix Winkelnkemper. “Geometrielernen digital unterstützen - Räumliche
Kompetenzen und individuelle Lernwege mittels adaptierbarer algorithmischer Rückmeldemöglichkeiten
fördern.” In Beiträge zum Mathematikunterricht 2021. WTM Verlag, Münster,
2021.
ieee: D. Bechinie, K. Eilerts, T. Huhmann, M. Lenke, C. Schulte, and F. Winkelnkemper,
“Geometrielernen digital unterstützen - Räumliche Kompetenzen und individuelle
Lernwege mittels adaptierbarer algorithmischer Rückmeldemöglichkeiten fördern,”
2021.
mla: Bechinie, Dominik, et al. “Geometrielernen digital unterstützen - Räumliche
Kompetenzen und individuelle Lernwege mittels adaptierbarer algorithmischer Rückmeldemöglichkeiten
fördern.” Beiträge zum Mathematikunterricht 2021, WTM Verlag, Münster,
2021.
short: 'D. Bechinie, K. Eilerts, T. Huhmann, M. Lenke, C. Schulte, F. Winkelnkemper,
in: Beiträge zum Mathematikunterricht 2021, WTM Verlag, Münster, 2021.'
date_created: 2022-01-31T13:17:46Z
date_updated: 2022-01-31T13:24:00Z
department:
- _id: '67'
language:
- iso: ger
publication: Beiträge zum Mathematikunterricht 2021
publisher: WTM Verlag, Münster
status: public
title: Geometrielernen digital unterstützen - Räumliche Kompetenzen und individuelle
Lernwege mittels adaptierbarer algorithmischer Rückmeldemöglichkeiten fördern
type: conference
user_id: '21145'
year: '2021'
...
---
_id: '22482'
author:
- first_name: Enes
full_name: Yigitbas, Enes
id: '8447'
last_name: Yigitbas
orcid: 0000-0002-5967-833X
- first_name: Jonas
full_name: Klauke, Jonas
id: '40915'
last_name: Klauke
- first_name: Sebastian
full_name: Gottschalk, Sebastian
id: '47208'
last_name: Gottschalk
- first_name: Gregor
full_name: Engels, Gregor
id: '107'
last_name: Engels
citation:
ama: 'Yigitbas E, Klauke J, Gottschalk S, Engels G. VREUD - An End-User Development
Tool to Simplify the Creation of Interactive VR Scenes. In: Proceedings of
the 2021 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)
. IEEE; 2021.'
apa: Yigitbas, E., Klauke, J., Gottschalk, S., & Engels, G. (2021). VREUD -
An End-User Development Tool to Simplify the Creation of Interactive VR Scenes.
Proceedings of the 2021 IEEE Symposium on Visual Languages and Human-Centric
Computing (VL/HCC) .
bibtex: '@inproceedings{Yigitbas_Klauke_Gottschalk_Engels_2021, title={VREUD - An
End-User Development Tool to Simplify the Creation of Interactive VR Scenes},
booktitle={Proceedings of the 2021 IEEE Symposium on Visual Languages and Human-Centric
Computing (VL/HCC) }, publisher={IEEE}, author={Yigitbas, Enes and Klauke, Jonas
and Gottschalk, Sebastian and Engels, Gregor}, year={2021} }'
chicago: Yigitbas, Enes, Jonas Klauke, Sebastian Gottschalk, and Gregor Engels.
“VREUD - An End-User Development Tool to Simplify the Creation of Interactive
VR Scenes.” In Proceedings of the 2021 IEEE Symposium on Visual Languages and
Human-Centric Computing (VL/HCC) . IEEE, 2021.
ieee: E. Yigitbas, J. Klauke, S. Gottschalk, and G. Engels, “VREUD - An End-User
Development Tool to Simplify the Creation of Interactive VR Scenes,” 2021.
mla: Yigitbas, Enes, et al. “VREUD - An End-User Development Tool to Simplify the
Creation of Interactive VR Scenes.” Proceedings of the 2021 IEEE Symposium
on Visual Languages and Human-Centric Computing (VL/HCC) , IEEE, 2021.
short: 'E. Yigitbas, J. Klauke, S. Gottschalk, G. Engels, in: Proceedings of the
2021 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) ,
IEEE, 2021.'
date_created: 2021-06-21T07:54:22Z
date_updated: 2022-01-31T13:39:38Z
department:
- _id: '66'
- _id: '534'
language:
- iso: eng
publication: 'Proceedings of the 2021 IEEE Symposium on Visual Languages and Human-Centric
Computing (VL/HCC) '
publisher: IEEE
status: public
title: VREUD - An End-User Development Tool to Simplify the Creation of Interactive
VR Scenes
type: conference
user_id: '8447'
year: '2021'
...
---
_id: '29708'
author:
- first_name: Dietrich Karl-Heinz
full_name: Gerstenberger, Dietrich Karl-Heinz
id: '65294'
last_name: Gerstenberger
- first_name: Felix
full_name: Winkelnkemper, Felix
id: '3117'
last_name: Winkelnkemper
- first_name: Carsten
full_name: Schulte, Carsten
id: '60311'
last_name: Schulte
citation:
ama: Gerstenberger DK-H, Winkelnkemper F, Schulte C. Nutzung der Personas-Methode
zum Umgang mit der Heterogenität von Informatik-Studierenden. 9 Fachtagung
Hochschuldidaktik Informatik (HDI). Published online 2021:49.
apa: Gerstenberger, D. K.-H., Winkelnkemper, F., & Schulte, C. (2021). Nutzung
der Personas-Methode zum Umgang mit der Heterogenität von Informatik-Studierenden.
9. Fachtagung Hochschuldidaktik Informatik (HDI), 49.
bibtex: '@article{Gerstenberger_Winkelnkemper_Schulte_2021, title={Nutzung der Personas-Methode
zum Umgang mit der Heterogenität von Informatik-Studierenden}, journal={9. Fachtagung
Hochschuldidaktik Informatik (HDI)}, author={Gerstenberger, Dietrich Karl-Heinz
and Winkelnkemper, Felix and Schulte, Carsten}, year={2021}, pages={49} }'
chicago: Gerstenberger, Dietrich Karl-Heinz, Felix Winkelnkemper, and Carsten Schulte.
“Nutzung der Personas-Methode zum Umgang mit der Heterogenität von Informatik-Studierenden.”
9. Fachtagung Hochschuldidaktik Informatik (HDI), 2021, 49.
ieee: D. K.-H. Gerstenberger, F. Winkelnkemper, and C. Schulte, “Nutzung der Personas-Methode
zum Umgang mit der Heterogenität von Informatik-Studierenden,” 9. Fachtagung
Hochschuldidaktik Informatik (HDI), p. 49, 2021.
mla: Gerstenberger, Dietrich Karl-Heinz, et al. “Nutzung der Personas-Methode zum
Umgang mit der Heterogenität von Informatik-Studierenden.” 9. Fachtagung Hochschuldidaktik
Informatik (HDI), 2021, p. 49.
short: D.K.-H. Gerstenberger, F. Winkelnkemper, C. Schulte, 9. Fachtagung Hochschuldidaktik
Informatik (HDI) (2021) 49.
date_created: 2022-01-31T13:24:28Z
date_updated: 2022-01-31T13:26:22Z
department:
- _id: '67'
language:
- iso: ger
page: '49'
publication: 9. Fachtagung Hochschuldidaktik Informatik (HDI)
status: public
title: Nutzung der Personas-Methode zum Umgang mit der Heterogenität von Informatik-Studierenden
type: journal_article
user_id: '21145'
year: '2021'
...