---
_id: '22706'
author:
- first_name: Enes
full_name: Yigitbas, Enes
id: '8447'
last_name: Yigitbas
orcid: 0000-0002-5967-833X
- first_name: Simon
full_name: Gorissen, Simon
last_name: Gorissen
- first_name: Nils
full_name: Weidmann, Nils
id: '53103'
last_name: Weidmann
- first_name: Gregor
full_name: Engels, Gregor
id: '107'
last_name: Engels
citation:
ama: 'Yigitbas E, Gorissen S, Weidmann N, Engels G. Collaborative Software Modeling
in Virtual Reality. In: Proceedings of the 24th International Conference on
Model Driven Engineering Languages and Systems (MODELS’21) . ACM/IEEE; 2021.'
apa: Yigitbas, E., Gorissen, S., Weidmann, N., & Engels, G. (2021). Collaborative
Software Modeling in Virtual Reality. Proceedings of the 24th International
Conference on Model Driven Engineering Languages and Systems (MODELS’21) .
bibtex: '@inproceedings{Yigitbas_Gorissen_Weidmann_Engels_2021, title={Collaborative
Software Modeling in Virtual Reality}, booktitle={Proceedings of the 24th International
Conference on Model Driven Engineering Languages and Systems (MODELS’21) }, publisher={ACM/IEEE},
author={Yigitbas, Enes and Gorissen, Simon and Weidmann, Nils and Engels, Gregor},
year={2021} }'
chicago: Yigitbas, Enes, Simon Gorissen, Nils Weidmann, and Gregor Engels. “Collaborative
Software Modeling in Virtual Reality.” In Proceedings of the 24th International
Conference on Model Driven Engineering Languages and Systems (MODELS’21) .
ACM/IEEE, 2021.
ieee: E. Yigitbas, S. Gorissen, N. Weidmann, and G. Engels, “Collaborative Software
Modeling in Virtual Reality,” 2021.
mla: Yigitbas, Enes, et al. “Collaborative Software Modeling in Virtual Reality.”
Proceedings of the 24th International Conference on Model Driven Engineering
Languages and Systems (MODELS’21) , ACM/IEEE, 2021.
short: 'E. Yigitbas, S. Gorissen, N. Weidmann, G. Engels, in: Proceedings of the
24th International Conference on Model Driven Engineering Languages and Systems
(MODELS’21) , ACM/IEEE, 2021.'
date_created: 2021-07-12T11:42:08Z
date_updated: 2022-03-21T14:37:47Z
department:
- _id: '66'
- _id: '534'
language:
- iso: eng
publication: 'Proceedings of the 24th International Conference on Model Driven Engineering
Languages and Systems (MODELS''21) '
publisher: ACM/IEEE
status: public
title: Collaborative Software Modeling in Virtual Reality
type: conference
user_id: '8447'
year: '2021'
...
---
_id: '21598'
abstract:
- lang: eng
text: Static analysis is used to automatically detect bugs and security breaches,
and aids compileroptimization. Whole-program analysis (WPA) can yield high precision,
however causes long analysistimes and thus does not match common software-development
workflows, making it often impracticalto use for large, real-world applications.This
paper thus presents the design and implementation ofModAlyzer, a novel static-analysisapproach
that aims at accelerating whole-program analysis by making the analysis modular
andcompositional. It shows how to computelossless, persisted summaries for callgraph,
points-to anddata-flow information, and it reports under which circumstances this
function-level compositionalanalysis outperforms WPA.We implementedModAlyzeras
an extension to LLVM and PhASAR, and applied it to 12 real-world C and C++ applications.
At analysis time,ModAlyzermodularly and losslessly summarizesthe analysis effect
of the library code those applications share, hence avoiding its repeated re-analysis.The
experimental results show that the reuse of these summaries can save, on average,
72% ofanalysis time over WPA. Moreover, because it is lossless, the module-wise
analysis fully retainsprecision and recall. Surprisingly, as our results show,
it sometimes even yields precision superior toWPA. The initial summary generation,
on average, takes about 3.67 times as long as WPA.
author:
- first_name: Philipp
full_name: Schubert, Philipp
id: '60543'
last_name: Schubert
orcid: 0000-0002-8674-1859
- first_name: Ben
full_name: Hermann, Ben
id: '66173'
last_name: Hermann
orcid: 0000-0001-9848-2017
- first_name: Eric
full_name: Bodden, Eric
id: '59256'
last_name: Bodden
orcid: 0000-0003-3470-3647
citation:
ama: 'Schubert P, Hermann B, Bodden E. Lossless, Persisted Summarization of Static
Callgraph, Points-To and Data-Flow Analysis. In: European Conference on Object-Oriented
Programming (ECOOP). ; 2021.'
apa: Schubert, P., Hermann, B., & Bodden, E. (2021). Lossless, Persisted Summarization
of Static Callgraph, Points-To and Data-Flow Analysis. European Conference
on Object-Oriented Programming (ECOOP).
bibtex: '@inproceedings{Schubert_Hermann_Bodden_2021, title={Lossless, Persisted
Summarization of Static Callgraph, Points-To and Data-Flow Analysis}, booktitle={European
Conference on Object-Oriented Programming (ECOOP)}, author={Schubert, Philipp
and Hermann, Ben and Bodden, Eric}, year={2021} }'
chicago: Schubert, Philipp, Ben Hermann, and Eric Bodden. “Lossless, Persisted Summarization
of Static Callgraph, Points-To and Data-Flow Analysis.” In European Conference
on Object-Oriented Programming (ECOOP), 2021.
ieee: P. Schubert, B. Hermann, and E. Bodden, “Lossless, Persisted Summarization
of Static Callgraph, Points-To and Data-Flow Analysis,” 2021.
mla: Schubert, Philipp, et al. “Lossless, Persisted Summarization of Static Callgraph,
Points-To and Data-Flow Analysis.” European Conference on Object-Oriented Programming
(ECOOP), 2021.
short: 'P. Schubert, B. Hermann, E. Bodden, in: European Conference on Object-Oriented
Programming (ECOOP), 2021.'
date_created: 2021-04-08T11:24:59Z
date_updated: 2022-03-25T07:49:35Z
department:
- _id: '76'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://drops.dagstuhl.de/opus/volltexte/2021/14045/
oa: '1'
project:
- _id: '3'
name: SFB 901 - Project Area B
- _id: '12'
name: SFB 901 - Subproject B4
- _id: '1'
name: SFB 901
publication: European Conference on Object-Oriented Programming (ECOOP)
status: public
title: Lossless, Persisted Summarization of Static Callgraph, Points-To and Data-Flow
Analysis
type: conference
user_id: '60543'
year: '2021'
...
---
_id: '27381'
abstract:
- lang: eng
text: Graph neural networks (GNNs) have been successfully applied in many structured
data domains, with applications ranging from molecular property prediction to
the analysis of social networks. Motivated by the broad applicability of GNNs,
we propose the family of so-called RankGNNs, a combination of neural Learning
to Rank (LtR) methods and GNNs. RankGNNs are trained with a set of pair-wise preferences
between graphs, suggesting that one of them is preferred over the other. One practical
application of this problem is drug screening, where an expert wants to find the
most promising molecules in a large collection of drug candidates. We empirically
demonstrate that our proposed pair-wise RankGNN approach either significantly
outperforms or at least matches the ranking performance of the naive point-wise
baseline approach, in which the LtR problem is solved via GNN-based graph regression.
author:
- first_name: Clemens
full_name: Damke, Clemens
id: '48192'
last_name: Damke
orcid: 0000-0002-0455-0048
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Damke C, Hüllermeier E. Ranking Structured Objects with Graph Neural Networks.
In: Soares C, Torgo L, eds. Proceedings of The 24th International Conference
on Discovery Science (DS 2021). Vol 12986. Lecture Notes in Computer Science.
Springer; 2021:166-180. doi:10.1007/978-3-030-88942-5'
apa: Damke, C., & Hüllermeier, E. (2021). Ranking Structured Objects with Graph
Neural Networks. In C. Soares & L. Torgo (Eds.), Proceedings of The 24th
International Conference on Discovery Science (DS 2021) (Vol. 12986, pp. 166–180).
Springer. https://doi.org/10.1007/978-3-030-88942-5
bibtex: '@inproceedings{Damke_Hüllermeier_2021, series={Lecture Notes in Computer
Science}, title={Ranking Structured Objects with Graph Neural Networks}, volume={12986},
DOI={10.1007/978-3-030-88942-5},
booktitle={Proceedings of The 24th International Conference on Discovery Science
(DS 2021)}, publisher={Springer}, author={Damke, Clemens and Hüllermeier, Eyke},
editor={Soares, Carlos and Torgo, Luis}, year={2021}, pages={166–180}, collection={Lecture
Notes in Computer Science} }'
chicago: Damke, Clemens, and Eyke Hüllermeier. “Ranking Structured Objects with
Graph Neural Networks.” In Proceedings of The 24th International Conference
on Discovery Science (DS 2021), edited by Carlos Soares and Luis Torgo, 12986:166–80.
Lecture Notes in Computer Science. Springer, 2021. https://doi.org/10.1007/978-3-030-88942-5.
ieee: 'C. Damke and E. Hüllermeier, “Ranking Structured Objects with Graph Neural
Networks,” in Proceedings of The 24th International Conference on Discovery
Science (DS 2021), Halifax, Canada, 2021, vol. 12986, pp. 166–180, doi: 10.1007/978-3-030-88942-5.'
mla: Damke, Clemens, and Eyke Hüllermeier. “Ranking Structured Objects with Graph
Neural Networks.” Proceedings of The 24th International Conference on Discovery
Science (DS 2021), edited by Carlos Soares and Luis Torgo, vol. 12986, Springer,
2021, pp. 166–80, doi:10.1007/978-3-030-88942-5.
short: 'C. Damke, E. Hüllermeier, in: C. Soares, L. Torgo (Eds.), Proceedings of
The 24th International Conference on Discovery Science (DS 2021), Springer, 2021,
pp. 166–180.'
conference:
end_date: 2021-10-13
location: Halifax, Canada
name: 24th International Conference on Discovery Science
start_date: 2021-10-11
date_created: 2021-11-11T14:15:18Z
date_updated: 2022-04-11T22:08:12Z
department:
- _id: '355'
doi: 10.1007/978-3-030-88942-5
editor:
- first_name: Carlos
full_name: Soares, Carlos
last_name: Soares
- first_name: Luis
full_name: Torgo, Luis
last_name: Torgo
external_id:
arxiv:
- '2104.08869'
intvolume: ' 12986'
keyword:
- Graph-structured data
- Graph neural networks
- Preference learning
- Learning to rank
language:
- iso: eng
page: 166-180
publication: Proceedings of The 24th International Conference on Discovery Science
(DS 2021)
publication_identifier:
isbn:
- '9783030889418'
- '9783030889425'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer
quality_controlled: '1'
series_title: Lecture Notes in Computer Science
status: public
title: Ranking Structured Objects with Graph Neural Networks
type: conference
user_id: '48192'
volume: 12986
year: '2021'
...
---
_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: '30849'
author:
- first_name: Carsten
full_name: Henkenius, Carsten
last_name: Henkenius
citation:
ama: Henkenius C. Entwurf netzfreundlicher Synchrongleichrichter mit integriertem
Synchronwandler.; 2021. doi:10.17619/UNIPB/1-1109
apa: Henkenius, C. (2021). Entwurf netzfreundlicher Synchrongleichrichter mit
integriertem Synchronwandler. https://doi.org/10.17619/UNIPB/1-1109
bibtex: '@book{Henkenius_2021, title={Entwurf netzfreundlicher Synchrongleichrichter
mit integriertem Synchronwandler}, DOI={10.17619/UNIPB/1-1109},
author={Henkenius, Carsten}, year={2021} }'
chicago: Henkenius, Carsten. Entwurf netzfreundlicher Synchrongleichrichter mit
integriertem Synchronwandler, 2021. https://doi.org/10.17619/UNIPB/1-1109.
ieee: C. Henkenius, Entwurf netzfreundlicher Synchrongleichrichter mit integriertem
Synchronwandler. 2021.
mla: Henkenius, Carsten. Entwurf netzfreundlicher Synchrongleichrichter mit integriertem
Synchronwandler. 2021, doi:10.17619/UNIPB/1-1109.
short: C. Henkenius, Entwurf netzfreundlicher Synchrongleichrichter mit integriertem
Synchronwandler, 2021.
date_created: 2022-04-07T10:10:13Z
date_updated: 2022-04-26T08:59:22Z
department:
- _id: '52'
doi: 10.17619/UNIPB/1-1109
language:
- iso: ger
status: public
title: Entwurf netzfreundlicher Synchrongleichrichter mit integriertem Synchronwandler
type: dissertation
user_id: '71353'
year: '2021'
...
---
_id: '22925'
article_number: '109919'
author:
- first_name: Leander
full_name: Claes, Leander
id: '11829'
last_name: Claes
orcid: 0000-0002-4393-268X
- first_name: René Spencer
full_name: Chatwell, René Spencer
last_name: Chatwell
- first_name: Elmar
full_name: Baumhögger, Elmar
id: '15164'
last_name: Baumhögger
- first_name: Tim
full_name: Hetkämper, Tim
id: '38123'
last_name: Hetkämper
- first_name: Henning
full_name: Zeipert, Henning
id: '32580'
last_name: Zeipert
- first_name: Jadran
full_name: Vrabec, Jadran
last_name: Vrabec
- first_name: Bernd
full_name: Henning, Bernd
id: '213'
last_name: Henning
citation:
ama: Claes L, Chatwell RS, Baumhögger E, et al. Measurement procedure for acoustic
absorption and bulk viscosity of liquids. Measurement. Published online
2021. doi:10.1016/j.measurement.2021.109919
apa: Claes, L., Chatwell, R. S., Baumhögger, E., Hetkämper, T., Zeipert, H., Vrabec,
J., & Henning, B. (2021). Measurement procedure for acoustic absorption and
bulk viscosity of liquids. Measurement, Article 109919. https://doi.org/10.1016/j.measurement.2021.109919
bibtex: '@article{Claes_Chatwell_Baumhögger_Hetkämper_Zeipert_Vrabec_Henning_2021,
title={Measurement procedure for acoustic absorption and bulk viscosity of liquids},
DOI={10.1016/j.measurement.2021.109919},
number={109919}, journal={Measurement}, author={Claes, Leander and Chatwell, René
Spencer and Baumhögger, Elmar and Hetkämper, Tim and Zeipert, Henning and Vrabec,
Jadran and Henning, Bernd}, year={2021} }'
chicago: Claes, Leander, René Spencer Chatwell, Elmar Baumhögger, Tim Hetkämper,
Henning Zeipert, Jadran Vrabec, and Bernd Henning. “Measurement Procedure for
Acoustic Absorption and Bulk Viscosity of Liquids.” Measurement, 2021.
https://doi.org/10.1016/j.measurement.2021.109919.
ieee: 'L. Claes et al., “Measurement procedure for acoustic absorption and
bulk viscosity of liquids,” Measurement, Art. no. 109919, 2021, doi: 10.1016/j.measurement.2021.109919.'
mla: Claes, Leander, et al. “Measurement Procedure for Acoustic Absorption and Bulk
Viscosity of Liquids.” Measurement, 109919, 2021, doi:10.1016/j.measurement.2021.109919.
short: L. Claes, R.S. Chatwell, E. Baumhögger, T. Hetkämper, H. Zeipert, J. Vrabec,
B. Henning, Measurement (2021).
date_created: 2021-08-02T13:42:06Z
date_updated: 2022-04-26T09:01:07Z
department:
- _id: '49'
- _id: '155'
doi: 10.1016/j.measurement.2021.109919
language:
- iso: eng
project:
- _id: '52'
name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: Measurement
publication_identifier:
issn:
- 0263-2241
publication_status: published
status: public
title: Measurement procedure for acoustic absorption and bulk viscosity of liquids
type: journal_article
user_id: '15164'
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: '32057'
abstract:
- lang: ger
text: Ein zentraler Aspekt bei der Untersuchung dynamischer Systeme ist die Analyse
ihrer invarianten Mengen wie des globalen Attraktors und (in)stabiler Mannigfaltigkeiten.
Insbesondere wenn das zugrunde liegende System von einem Parameter abhängt, ist
es entscheidend, sie im Bezug auf diesen Parameter effizient zu verfolgen. Für
die Berechnung invarianter Mengen stützen wir uns für ihre Approximation auf numerische
Algorithmen. Typischerweise können diese Methoden jedoch nur auf endlich-dimensionale
dynamische Systeme angewendet werden. In dieser Arbeit präsentieren wir daher
einen numerischen Rahmen für die globale dynamische Analyse unendlich-dimensionaler
Systeme. Wir werden Einbettungstechniken verwenden, um das core dynamical system
(CDS) zu definieren, welches ein dynamisch äquivalentes endlich-dimensionales
System ist.Das CDS wird dann verwendet, um eingebettete invariante Mengen, also
eins-zu-eins Bilder, mittels Mengen-orientierten numerischen Methoden zu approximieren.
Bei der Konstruktion des CDS ist es entscheidend, eine geeignete Beobachtungsabbildung
auszuwählen und die geeignete inverse Abbildung zu entwerfen. Dazu werden wir
geeignete numerische Implementierungen des CDS für DDEs und PDEs vorstellen. Für
eine nachfolgende geometrische Analyse der eingebetteten invarianten Menge betrachten
wir eine Lerntechnik namens diffusion maps, die ihre intrinsische Geometrie enthüllt
sowie ihre Dimension schätzt. Schließlich wenden wir unsere entwickelten numerischen
Methoden an einigen bekannten unendlich-dimensionale dynamischen Systeme an, wie
die Mackey-Glass-Gleichung, die Kuramoto-Sivashinsky-Gleichung und die Navier-Stokes-Gleichung.
- lang: eng
text: One central aspect in the study of dynamical systems is the analysis of its
invariant sets such as the global attractor and (un)stable manifolds. In particular,
when the underlying system depends on a parameter it is crucial to efficiently
track those set with respect to this parameter. For the computation of invariant
sets we rely on numerical algorithms for their approximation but typically those
tools can only be applied to finite-dimensional dynamical systems. Thus, in thesis
we present a numerical framework for the global dynamical analysis of infinite-dimensional
systems. We will use embedding techniques for the definition of the core dynamical
system (CDS) which is a dynamically equivalent finite-dimensional system. The
CDS is then used for the approximation of related embedded invariant sets, i.e,
one-to-one images, by set-oriented numerical methods. For the construction of
the CDS it is crucial to choose an appropriate observation map and to design its
corresponding inverse. Therefore, we will present suitable numerical realizations
of the CDS for DDEs and PDEs. For a subsequent geometric analysis of the embedded
invariant set we will consider a manifold learning technique called diffusion
maps which reveals its intrinsic geometry and estimates its dimension. Finally,
we apply our develop numerical tools on some well-known infinite-dimensional dynamical
systems such as the Mackey-Glass equation, the Kuramoto-Sivashinsky equation and
the Navier-Stokes equation.
author:
- first_name: Raphael
full_name: Gerlach, Raphael
id: '32655'
last_name: Gerlach
citation:
ama: Gerlach R. The Computation and Analysis of Invariant Sets of Infinite-Dimensional
Systems.; 2021. doi:10.17619/UNIPB/1-1278
apa: Gerlach, R. (2021). The Computation and Analysis of Invariant Sets of Infinite-Dimensional
Systems. https://doi.org/10.17619/UNIPB/1-1278
bibtex: '@book{Gerlach_2021, title={The Computation and Analysis of Invariant Sets
of Infinite-Dimensional Systems}, DOI={10.17619/UNIPB/1-1278},
author={Gerlach, Raphael}, year={2021} }'
chicago: Gerlach, Raphael. The Computation and Analysis of Invariant Sets of
Infinite-Dimensional Systems, 2021. https://doi.org/10.17619/UNIPB/1-1278.
ieee: R. Gerlach, The Computation and Analysis of Invariant Sets of Infinite-Dimensional
Systems. 2021.
mla: Gerlach, Raphael. The Computation and Analysis of Invariant Sets of Infinite-Dimensional
Systems. 2021, doi:10.17619/UNIPB/1-1278.
short: R. Gerlach, The Computation and Analysis of Invariant Sets of Infinite-Dimensional
Systems, 2021.
date_created: 2022-06-20T09:54:24Z
date_updated: 2022-06-20T13:40:30Z
department:
- _id: '101'
doi: 10.17619/UNIPB/1-1278
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://digital.ub.uni-paderborn.de/hs/download/pdf/6214949
oa: '1'
status: public
supervisor:
- first_name: Michael
full_name: Dellnitz , Michael
last_name: 'Dellnitz '
- first_name: Péter
full_name: Koltai, Péter
last_name: Koltai
title: The Computation and Analysis of Invariant Sets of Infinite-Dimensional Systems
type: dissertation
user_id: '32643'
year: '2021'
...
---
_id: '32016'
article_type: original
author:
- first_name: Benjamin
full_name: Delarue, Benjamin
id: '70575'
last_name: Delarue
- first_name: Pablo
full_name: Ramacher, Pablo
last_name: Ramacher
citation:
ama: Delarue B, Ramacher P. Asymptotic expansion of generalized Witten integrals
for Hamiltonian circle actions. Journal of Symplectic Geometry. 2021;19(6):1281-1337.
doi:10.4310/JSG.2021.v19.n6.a1
apa: Delarue, B., & Ramacher, P. (2021). Asymptotic expansion of generalized
Witten integrals for Hamiltonian circle actions. Journal of Symplectic Geometry,
19(6), 1281–1337. https://doi.org/10.4310/JSG.2021.v19.n6.a1
bibtex: '@article{Delarue_Ramacher_2021, title={Asymptotic expansion of generalized
Witten integrals for Hamiltonian circle actions}, volume={19}, DOI={10.4310/JSG.2021.v19.n6.a1},
number={6}, journal={Journal of Symplectic Geometry}, author={Delarue, Benjamin
and Ramacher, Pablo}, year={2021}, pages={1281–1337} }'
chicago: 'Delarue, Benjamin, and Pablo Ramacher. “Asymptotic Expansion of Generalized
Witten Integrals for Hamiltonian Circle Actions.” Journal of Symplectic Geometry
19, no. 6 (2021): 1281–1337. https://doi.org/10.4310/JSG.2021.v19.n6.a1.'
ieee: 'B. Delarue and P. Ramacher, “Asymptotic expansion of generalized Witten integrals
for Hamiltonian circle actions,” Journal of Symplectic Geometry, vol. 19,
no. 6, pp. 1281–1337, 2021, doi: 10.4310/JSG.2021.v19.n6.a1.'
mla: Delarue, Benjamin, and Pablo Ramacher. “Asymptotic Expansion of Generalized
Witten Integrals for Hamiltonian Circle Actions.” Journal of Symplectic Geometry,
vol. 19, no. 6, 2021, pp. 1281–337, doi:10.4310/JSG.2021.v19.n6.a1.
short: B. Delarue, P. Ramacher, Journal of Symplectic Geometry 19 (2021) 1281–1337.
date_created: 2022-06-20T08:46:56Z
date_updated: 2022-06-21T11:54:50Z
department:
- _id: '548'
doi: 10.4310/JSG.2021.v19.n6.a1
intvolume: ' 19'
issue: '6'
language:
- iso: eng
page: 1281 - 1337
publication: Journal of Symplectic Geometry
publication_identifier:
unknown:
- 1540-2347
- 1527-5256
publication_status: published
status: public
title: Asymptotic expansion of generalized Witten integrals for Hamiltonian circle
actions
type: journal_article
user_id: '70575'
volume: 19
year: '2021'
...
---
_id: '32125'
abstract:
- lang: eng
text: 'Fault coverage analysis and fault simulation are well-established methods
for the qualification of test vectors in hardware design. However, their role
in virtual prototyping and the correlation to later steps in the design process
need further investigation. We introduce a metric for RISC-V instruction and register
coverage for binary software. The metric measures if RISC-V instruction types
are executed and if GPRs, CSRs, and FPRs are accessed. The analysis is applied
by the means of a virtual prototype which is based on an abstract instruction
and register model with direct correspondence to their bit level representation.
In this context, we analyzed three different openly available test suites: the
RISC-V architectural testing framework, the RISC-V unit tests, and programs which
are automatically generated by the RISC-V Torture test generator. We discuss their
tradeoffs and show that by combining them to a unified test suite we can arrive
at a 100% GPR and FPR register coverage and a 98.7% instruction type coverage.'
author:
- first_name: Peer
full_name: Adelt, Peer
id: '5603'
last_name: Adelt
- first_name: Bastian
full_name: Koppelmann, Bastian
id: '25260'
last_name: Koppelmann
- first_name: Wolfgang
full_name: Müller, Wolfgang
id: '16243'
last_name: Müller
- first_name: Christoph
full_name: Scheytt, Christoph
id: '37144'
last_name: Scheytt
citation:
ama: 'Adelt P, Koppelmann B, Müller W, Scheytt C. Register and Instruction Coverage
Analysis for Different RISC-V ISA Modules. In: MBMV 2021 - Methods and Description
Languages for Modelling and Verification of Circuits and Systems; GMM/ITG/GI-Workshop.
VDE; 2021.'
apa: Adelt, P., Koppelmann, B., Müller, W., & Scheytt, C. (2021). Register and
Instruction Coverage Analysis for Different RISC-V ISA Modules. MBMV 2021 -
Methods and Description Languages for Modelling and Verification of Circuits and
Systems; GMM/ITG/GI-Workshop.
bibtex: '@inproceedings{Adelt_Koppelmann_Müller_Scheytt_2021, place={Munich, DE},
title={Register and Instruction Coverage Analysis for Different RISC-V ISA Modules},
booktitle={MBMV 2021 - Methods and Description Languages for Modelling and Verification
of Circuits and Systems; GMM/ITG/GI-Workshop}, publisher={VDE}, author={Adelt,
Peer and Koppelmann, Bastian and Müller, Wolfgang and Scheytt, Christoph}, year={2021}
}'
chicago: 'Adelt, Peer, Bastian Koppelmann, Wolfgang Müller, and Christoph Scheytt.
“Register and Instruction Coverage Analysis for Different RISC-V ISA Modules.”
In MBMV 2021 - Methods and Description Languages for Modelling and Verification
of Circuits and Systems; GMM/ITG/GI-Workshop. Munich, DE: VDE, 2021.'
ieee: P. Adelt, B. Koppelmann, W. Müller, and C. Scheytt, “Register and Instruction
Coverage Analysis for Different RISC-V ISA Modules,” 2021.
mla: Adelt, Peer, et al. “Register and Instruction Coverage Analysis for Different
RISC-V ISA Modules.” MBMV 2021 - Methods and Description Languages for Modelling
and Verification of Circuits and Systems; GMM/ITG/GI-Workshop, VDE, 2021.
short: 'P. Adelt, B. Koppelmann, W. Müller, C. Scheytt, in: MBMV 2021 - Methods
and Description Languages for Modelling and Verification of Circuits and Systems;
GMM/ITG/GI-Workshop, VDE, Munich, DE, 2021.'
conference:
end_date: 2021-03-19
start_date: 2021-03-18
date_created: 2022-06-23T11:52:50Z
date_updated: 2022-06-23T11:54:16Z
department:
- _id: '58'
language:
- iso: eng
place: Munich, DE
publication: MBMV 2021 - Methods and Description Languages for Modelling and Verification
of Circuits and Systems; GMM/ITG/GI-Workshop
publication_identifier:
isbn:
- 978-3-8007-5500-4
publication_status: published
publisher: VDE
related_material:
link:
- relation: confirmation
url: https://ieeexplore.ieee.org/document/9399723
status: public
title: Register and Instruction Coverage Analysis for Different RISC-V ISA Modules
type: conference
user_id: '5603'
year: '2021'
...
---
_id: '34042'
author:
- first_name: Jiaao
full_name: Li, Jiaao
last_name: Li
- first_name: Yulai
full_name: Ma, Yulai
id: '92748'
last_name: Ma
- first_name: Zhengke
full_name: Miao, Zhengke
last_name: Miao
- first_name: Yongtang
full_name: Shi, Yongtang
last_name: Shi
- first_name: Weifan
full_name: Wang, Weifan
last_name: Wang
- first_name: Cun-Quan
full_name: Zhang, Cun-Quan
last_name: Zhang
citation:
ama: Li J, Ma Y, Miao Z, Shi Y, Wang W, Zhang C-Q. Nowhere-zero 3-flows in toroidal
graphs. Journal of Combinatorial Theory, Series B. 2021;153:61-80. doi:10.1016/j.jctb.2021.11.001
apa: Li, J., Ma, Y., Miao, Z., Shi, Y., Wang, W., & Zhang, C.-Q. (2021). Nowhere-zero
3-flows in toroidal graphs. Journal of Combinatorial Theory, Series B,
153, 61–80. https://doi.org/10.1016/j.jctb.2021.11.001
bibtex: '@article{Li_Ma_Miao_Shi_Wang_Zhang_2021, title={Nowhere-zero 3-flows in
toroidal graphs}, volume={153}, DOI={10.1016/j.jctb.2021.11.001},
journal={Journal of Combinatorial Theory, Series B}, publisher={Elsevier BV},
author={Li, Jiaao and Ma, Yulai and Miao, Zhengke and Shi, Yongtang and Wang,
Weifan and Zhang, Cun-Quan}, year={2021}, pages={61–80} }'
chicago: 'Li, Jiaao, Yulai Ma, Zhengke Miao, Yongtang Shi, Weifan Wang, and Cun-Quan
Zhang. “Nowhere-Zero 3-Flows in Toroidal Graphs.” Journal of Combinatorial
Theory, Series B 153 (2021): 61–80. https://doi.org/10.1016/j.jctb.2021.11.001.'
ieee: 'J. Li, Y. Ma, Z. Miao, Y. Shi, W. Wang, and C.-Q. Zhang, “Nowhere-zero 3-flows
in toroidal graphs,” Journal of Combinatorial Theory, Series B, vol. 153,
pp. 61–80, 2021, doi: 10.1016/j.jctb.2021.11.001.'
mla: Li, Jiaao, et al. “Nowhere-Zero 3-Flows in Toroidal Graphs.” Journal of
Combinatorial Theory, Series B, vol. 153, Elsevier BV, 2021, pp. 61–80, doi:10.1016/j.jctb.2021.11.001.
short: J. Li, Y. Ma, Z. Miao, Y. Shi, W. Wang, C.-Q. Zhang, Journal of Combinatorial
Theory, Series B 153 (2021) 61–80.
date_created: 2022-11-09T08:43:55Z
date_updated: 2022-11-09T08:44:37Z
department:
- _id: '542'
doi: 10.1016/j.jctb.2021.11.001
intvolume: ' 153'
keyword:
- Computational Theory and Mathematics
- Discrete Mathematics and Combinatorics
- Theoretical Computer Science
language:
- iso: eng
page: 61-80
publication: Journal of Combinatorial Theory, Series B
publication_identifier:
issn:
- 0095-8956
publication_status: published
publisher: Elsevier BV
status: public
title: Nowhere-zero 3-flows in toroidal graphs
type: journal_article
user_id: '15540'
volume: 153
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: '28196'
abstract:
- lang: eng
text: We show that narrow trenches in a high-contrast silicon-photonics slab can
act as lossless power dividers for semi-guided waves. Reflectance and transmittance
can be easily configured by selecting the trench width. At sufficiently high angles
of incidence, the devices are lossless, apart from material attenuation and scattering
due to surface roughness. We numerically simulate a series of devices within the
full 0-to-1-range of splitting ratios, for semi-guided plane wave incidence as
well as for excitation by focused Gaussian wave bundles. Straightforward cascading
of the trenches leads to concepts for 1×M-power dividers and a polarization beam
splitter.
author:
- first_name: Manfred
full_name: Hammer, Manfred
id: '48077'
last_name: Hammer
orcid: 0000-0002-6331-9348
- first_name: Lena
full_name: Ebers, Lena
id: '40428'
last_name: Ebers
- first_name: Jens
full_name: Förstner, Jens
id: '158'
last_name: Förstner
orcid: 0000-0001-7059-9862
citation:
ama: Hammer M, Ebers L, Förstner J. Configurable lossless broadband beam splitters
for semi-guided waves in integrated silicon photonics. OSA Continuum. 2021;4(12):3081.
doi:10.1364/osac.437549
apa: Hammer, M., Ebers, L., & Förstner, J. (2021). Configurable lossless broadband
beam splitters for semi-guided waves in integrated silicon photonics. OSA Continuum,
4(12), 3081. https://doi.org/10.1364/osac.437549
bibtex: '@article{Hammer_Ebers_Förstner_2021, title={Configurable lossless broadband
beam splitters for semi-guided waves in integrated silicon photonics}, volume={4},
DOI={10.1364/osac.437549}, number={12},
journal={OSA Continuum}, author={Hammer, Manfred and Ebers, Lena and Förstner,
Jens}, year={2021}, pages={3081} }'
chicago: 'Hammer, Manfred, Lena Ebers, and Jens Förstner. “Configurable Lossless
Broadband Beam Splitters for Semi-Guided Waves in Integrated Silicon Photonics.”
OSA Continuum 4, no. 12 (2021): 3081. https://doi.org/10.1364/osac.437549.'
ieee: 'M. Hammer, L. Ebers, and J. Förstner, “Configurable lossless broadband beam
splitters for semi-guided waves in integrated silicon photonics,” OSA Continuum,
vol. 4, no. 12, p. 3081, 2021, doi: 10.1364/osac.437549.'
mla: Hammer, Manfred, et al. “Configurable Lossless Broadband Beam Splitters for
Semi-Guided Waves in Integrated Silicon Photonics.” OSA Continuum, vol.
4, no. 12, 2021, p. 3081, doi:10.1364/osac.437549.
short: M. Hammer, L. Ebers, J. Förstner, OSA Continuum 4 (2021) 3081.
date_created: 2021-11-30T20:04:57Z
date_updated: 2022-11-18T09:58:03Z
ddc:
- '530'
department:
- _id: '61'
- _id: '230'
- _id: '429'
doi: 10.1364/osac.437549
file:
- access_level: open_access
content_type: application/pdf
creator: fossie
date_created: 2021-11-30T20:07:53Z
date_updated: 2021-11-30T20:19:15Z
file_id: '28197'
file_name: 2021-11 Hammer - OSA Continuum - Trenches.pdf
file_size: 6618403
relation: main_file
file_date_updated: 2021-11-30T20:19:15Z
has_accepted_license: '1'
intvolume: ' 4'
issue: '12'
keyword:
- tet_topic_waveguide
language:
- iso: eng
oa: '1'
page: '3081'
project:
- _id: '53'
name: TRR 142
- _id: '56'
name: TRR 142 - Project Area C
publication: OSA Continuum
publication_identifier:
issn:
- 2578-7519
publication_status: published
status: public
title: Configurable lossless broadband beam splitters for semi-guided waves in integrated
silicon photonics
type: journal_article
user_id: '477'
volume: 4
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: '32132'
abstract:
- lang: ger
text: "Die Werkzeugdemonstration des QEMU Timing Analyzers (QTA) stellt eine Erweiterung
des quelloffenen CPU Emulators QEMU zur Simulation von Softwareprogrammen und
deren Worst-Case Zeitverhaltens vor, das durch eine statische Zeitanalyse vorher
aus dem Softwareprogramm extrahiert wurde. Der Ablauf der Analyse gliedert sich
in mehrere Schritte: Zunächst wird für das zu simulierende Binärprogramm eine
WCET-Analyse mit aiT durchgeführt. Im Preprocessing des aiT-Reports wird daraufhin
ein WCET-annotierter Kontrollflussgraph erzeugt. Dabei entsprechen die Knoten
im Kontrollflussgraph den aiT-Blöcken und die Kanten dem jeweiligen Worst-Case-Zeitverbrauch,
um das Programm im aktuellen Ausführungskontext vom Quell- bis zum Zielblock laufen
zu lassen. Nach dem Preprocessing werden Binärprogramm und der zuvor erzeugte,
zeitannotierte Kontrollflussgraph von QEMU geladen und gemeinsam simuliert.\r\n\r\nDie
Implementierung des QTA basiert auf der Standard TGI Plugin API (Tiny Code Generator
Plugin API), die seit Ende 2019 mit QEMU V4.2 verfügbar ist. Dieses API erlaubt
die Entwicklung von versionsunabhängigen QEMU-Erweiterungen. Die QEMU-QTA-Erweiterung
wird zum Zeitpunkt der Werkzeugdemonstration inklusive des ait2qta-Preprozessors
unter github.com im Quellcode frei verfügbar sein.\r\n\r\nDie Demonstration geht
von einer existierenden aiT-Analyse eines für TriCore© kompilierten binären Softwareprograms
aus, erläutert das Kontrollflusszwischenformat und zeigt die zeitannotierte Simulation
der Software."
author:
- first_name: Peer
full_name: Adelt, Peer
id: '5603'
last_name: Adelt
- first_name: Bastian
full_name: Koppelmann, Bastian
id: '25260'
last_name: Koppelmann
- first_name: Wolfgang
full_name: Müller, Wolfgang
id: '16243'
last_name: Müller
- first_name: Christoph
full_name: Scheytt, Christoph
id: '37144'
last_name: Scheytt
orcid: https://orcid.org/0000-0002-5950-6618
citation:
ama: 'Adelt P, Koppelmann B, Müller W, Scheytt C. QEMU zur Simulation von Worst-Case-Ausführungszeiten.
In: MBMV 2021 - Methods and Description Languages for Modelling and Verification
of Circuits and Systems; GMM/ITG/GI-Workshop. VDE; 2021.'
apa: Adelt, P., Koppelmann, B., Müller, W., & Scheytt, C. (2021). QEMU zur Simulation
von Worst-Case-Ausführungszeiten. MBMV 2021 - Methods and Description Languages
for Modelling and Verification of Circuits and Systems; GMM/ITG/GI-Workshop.
bibtex: '@inproceedings{Adelt_Koppelmann_Müller_Scheytt_2021, place={Munich, DE},
title={QEMU zur Simulation von Worst-Case-Ausführungszeiten}, booktitle={MBMV
2021 - Methods and Description Languages for Modelling and Verification of Circuits
and Systems; GMM/ITG/GI-Workshop}, publisher={VDE}, author={Adelt, Peer and Koppelmann,
Bastian and Müller, Wolfgang and Scheytt, Christoph}, year={2021} }'
chicago: 'Adelt, Peer, Bastian Koppelmann, Wolfgang Müller, and Christoph Scheytt.
“QEMU zur Simulation von Worst-Case-Ausführungszeiten.” In MBMV 2021 - Methods
and Description Languages for Modelling and Verification of Circuits and Systems;
GMM/ITG/GI-Workshop. Munich, DE: VDE, 2021.'
ieee: P. Adelt, B. Koppelmann, W. Müller, and C. Scheytt, “QEMU zur Simulation von
Worst-Case-Ausführungszeiten,” 2021.
mla: Adelt, Peer, et al. “QEMU zur Simulation von Worst-Case-Ausführungszeiten.”
MBMV 2021 - Methods and Description Languages for Modelling and Verification
of Circuits and Systems; GMM/ITG/GI-Workshop, VDE, 2021.
short: 'P. Adelt, B. Koppelmann, W. Müller, C. Scheytt, in: MBMV 2021 - Methods
and Description Languages for Modelling and Verification of Circuits and Systems;
GMM/ITG/GI-Workshop, VDE, Munich, DE, 2021.'
conference:
end_date: 2021-03-19
start_date: 2021-03-18
date_created: 2022-06-23T12:07:10Z
date_updated: 2022-12-06T13:24:44Z
department:
- _id: '58'
keyword:
- QEMU
- aiT
- Zeitannotation
- WCET
language:
- iso: ger
place: Munich, DE
publication: MBMV 2021 - Methods and Description Languages for Modelling and Verification
of Circuits and Systems; GMM/ITG/GI-Workshop
publication_status: published
publisher: VDE
status: public
title: QEMU zur Simulation von Worst-Case-Ausführungszeiten
type: conference
user_id: '5603'
year: '2021'
...