---
_id: '30790'
abstract:
- lang: eng
text: "Iterative distributed optimization algorithms involve multiple agents that\r\ncommunicate
with each other, over time, in order to minimize/maximize a global\r\nobjective.
In the presence of unreliable communication networks, the\r\nAge-of-Information
(AoI), which measures the freshness of data received, may be\r\nlarge and hence
hinder algorithmic convergence. In this paper, we study the\r\nconvergence of
general distributed gradient-based optimization algorithms in\r\nthe presence
of communication that neither happens periodically nor at\r\nstochastically independent
points in time. We show that convergence is\r\nguaranteed provided the random
variables associated with the AoI processes are\r\nstochastically dominated by
a random variable with finite first moment. This\r\nimproves on previous requirements
of boundedness of more than the first moment.\r\nWe then introduce stochastically
strongly connected (SSC) networks, a new\r\nstochastic form of strong connectedness
for time-varying networks. We show: If\r\nfor any $p \\ge0$ the processes that
describe the success of communication\r\nbetween agents in a SSC network are $\\alpha$-mixing
with $n^{p-1}\\alpha(n)$\r\nsummable, then the associated AoI processes are stochastically
dominated by a\r\nrandom variable with finite $p$-th moment. In combination with
our first\r\ncontribution, this implies that distributed stochastic gradient descend\r\nconverges
in the presence of AoI, if $\\alpha(n)$ is summable."
author:
- first_name: Adrian
full_name: Redder, Adrian
id: '52265'
last_name: Redder
orcid: https://orcid.org/0000-0001-7391-4688
- first_name: Arunselvan
full_name: Ramaswamy, Arunselvan
id: '66937'
last_name: Ramaswamy
orcid: https://orcid.org/ 0000-0001-7547-8111
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
citation:
ama: Redder A, Ramaswamy A, Karl H. Distributed gradient-based optimization in the
presence of dependent aperiodic communication. arXiv:220111343. Published
online 2022.
apa: Redder, A., Ramaswamy, A., & Karl, H. (2022). Distributed gradient-based
optimization in the presence of dependent aperiodic communication. In arXiv:2201.11343.
bibtex: '@article{Redder_Ramaswamy_Karl_2022, title={Distributed gradient-based
optimization in the presence of dependent aperiodic communication}, journal={arXiv:2201.11343},
author={Redder, Adrian and Ramaswamy, Arunselvan and Karl, Holger}, year={2022}
}'
chicago: Redder, Adrian, Arunselvan Ramaswamy, and Holger Karl. “Distributed Gradient-Based
Optimization in the Presence of Dependent Aperiodic Communication.” ArXiv:2201.11343,
2022.
ieee: A. Redder, A. Ramaswamy, and H. Karl, “Distributed gradient-based optimization
in the presence of dependent aperiodic communication,” arXiv:2201.11343.
2022.
mla: Redder, Adrian, et al. “Distributed Gradient-Based Optimization in the Presence
of Dependent Aperiodic Communication.” ArXiv:2201.11343, 2022.
short: A. Redder, A. Ramaswamy, H. Karl, ArXiv:2201.11343 (2022).
date_created: 2022-04-06T06:53:38Z
date_updated: 2022-11-18T09:33:01Z
department:
- _id: '75'
external_id:
arxiv:
- '2201.11343'
language:
- iso: eng
project:
- _id: '16'
name: 'SFB 901 - C4: SFB 901 - Subproject C4'
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '4'
name: 'SFB 901 - C: SFB 901 - Project Area C'
publication: arXiv:2201.11343
status: public
title: Distributed gradient-based optimization in the presence of dependent aperiodic
communication
type: preprint
user_id: '477'
year: '2022'
...
---
_id: '32855'
author:
- first_name: Lennart
full_name: Clausing, Lennart
id: '74287'
last_name: Clausing
orcid: 0000-0003-3789-6034
- first_name: Marco
full_name: Platzner, Marco
id: '398'
last_name: Platzner
citation:
ama: 'Clausing L, Platzner M. ReconOS64: A Hardware Operating System for Modern
Platform FPGAs with 64-Bit Support. In: 2022 IEEE International Parallel and
Distributed Processing Symposium Workshops (IPDPSW). IEEE; 2022:120-127. doi:10.1109/ipdpsw55747.2022.00029'
apa: 'Clausing, L., & Platzner, M. (2022). ReconOS64: A Hardware Operating System
for Modern Platform FPGAs with 64-Bit Support. 2022 IEEE International Parallel
and Distributed Processing Symposium Workshops (IPDPSW), 120–127. https://doi.org/10.1109/ipdpsw55747.2022.00029'
bibtex: '@inproceedings{Clausing_Platzner_2022, title={ReconOS64: A Hardware Operating
System for Modern Platform FPGAs with 64-Bit Support}, DOI={10.1109/ipdpsw55747.2022.00029},
booktitle={2022 IEEE International Parallel and Distributed Processing Symposium
Workshops (IPDPSW)}, publisher={IEEE}, author={Clausing, Lennart and Platzner,
Marco}, year={2022}, pages={120–127} }'
chicago: 'Clausing, Lennart, and Marco Platzner. “ReconOS64: A Hardware Operating
System for Modern Platform FPGAs with 64-Bit Support.” In 2022 IEEE International
Parallel and Distributed Processing Symposium Workshops (IPDPSW), 120–27.
IEEE, 2022. https://doi.org/10.1109/ipdpsw55747.2022.00029.'
ieee: 'L. Clausing and M. Platzner, “ReconOS64: A Hardware Operating System for
Modern Platform FPGAs with 64-Bit Support,” in 2022 IEEE International Parallel
and Distributed Processing Symposium Workshops (IPDPSW), Lyon, France, 2022,
pp. 120–127, doi: 10.1109/ipdpsw55747.2022.00029.'
mla: 'Clausing, Lennart, and Marco Platzner. “ReconOS64: A Hardware Operating System
for Modern Platform FPGAs with 64-Bit Support.” 2022 IEEE International Parallel
and Distributed Processing Symposium Workshops (IPDPSW), IEEE, 2022, pp. 120–27,
doi:10.1109/ipdpsw55747.2022.00029.'
short: 'L. Clausing, M. Platzner, in: 2022 IEEE International Parallel and Distributed
Processing Symposium Workshops (IPDPSW), IEEE, 2022, pp. 120–127.'
conference:
end_date: 2022-06-03
location: ' Lyon, France'
name: 2022 IEEE International Parallel and Distributed Processing Symposium Workshops
(IPDPSW)
start_date: 2022-05-30
date_created: 2022-08-16T09:58:34Z
date_updated: 2022-11-18T09:36:00Z
department:
- _id: '78'
doi: 10.1109/ipdpsw55747.2022.00029
language:
- iso: eng
page: 120-127
project:
- _id: '83'
name: 'SFB 901 - T1: SFB 901 -Subproject T1'
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '82'
name: 'SFB 901 - T: SFB 901 - Project Area T'
publication: 2022 IEEE International Parallel and Distributed Processing Symposium
Workshops (IPDPSW)
publication_identifier:
eisbn:
- 978-1-6654-9747-3
publication_status: published
publisher: IEEE
status: public
title: 'ReconOS64: A Hardware Operating System for Modern Platform FPGAs with 64-Bit
Support'
type: conference
user_id: '477'
year: '2022'
...
---
_id: '30791'
abstract:
- lang: eng
text: "We present sufficient conditions that ensure convergence of the multi-agent\r\nDeep
Deterministic Policy Gradient (DDPG) algorithm. It is an example of one of\r\nthe
most popular paradigms of Deep Reinforcement Learning (DeepRL) for tackling\r\ncontinuous
action spaces: the actor-critic paradigm. In the setting considered\r\nherein,
each agent observes a part of the global state space in order to take\r\nlocal
actions, for which it receives local rewards. For every agent, DDPG\r\ntrains
a local actor (policy) and a local critic (Q-function). The analysis\r\nshows
that multi-agent DDPG using neural networks to approximate the local\r\npolicies
and critics converge to limits with the following properties: The\r\ncritic limits
minimize the average squared Bellman loss; the actor limits\r\nparameterize a
policy that maximizes the local critic's approximation of\r\n$Q_i^*$, where $i$
is the agent index. The averaging is with respect to a\r\nprobability distribution
over the global state-action space. It captures the\r\nasymptotics of all local
training processes. Finally, we extend the analysis to\r\na fully decentralized
setting where agents communicate over a wireless network\r\nprone to delays and
losses; a typical scenario in, e.g., robotic applications."
author:
- first_name: Adrian
full_name: Redder, Adrian
id: '52265'
last_name: Redder
orcid: https://orcid.org/0000-0001-7391-4688
- first_name: Arunselvan
full_name: Ramaswamy, Arunselvan
id: '66937'
last_name: Ramaswamy
orcid: https://orcid.org/ 0000-0001-7547-8111
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
citation:
ama: Redder A, Ramaswamy A, Karl H. Asymptotic Convergence of Deep Multi-Agent Actor-Critic
Algorithms. arXiv:220100570. Published online 2022.
apa: Redder, A., Ramaswamy, A., & Karl, H. (2022). Asymptotic Convergence of
Deep Multi-Agent Actor-Critic Algorithms. In arXiv:2201.00570.
bibtex: '@article{Redder_Ramaswamy_Karl_2022, title={Asymptotic Convergence of Deep
Multi-Agent Actor-Critic Algorithms}, journal={arXiv:2201.00570}, author={Redder,
Adrian and Ramaswamy, Arunselvan and Karl, Holger}, year={2022} }'
chicago: Redder, Adrian, Arunselvan Ramaswamy, and Holger Karl. “Asymptotic Convergence
of Deep Multi-Agent Actor-Critic Algorithms.” ArXiv:2201.00570, 2022.
ieee: A. Redder, A. Ramaswamy, and H. Karl, “Asymptotic Convergence of Deep Multi-Agent
Actor-Critic Algorithms,” arXiv:2201.00570. 2022.
mla: Redder, Adrian, et al. “Asymptotic Convergence of Deep Multi-Agent Actor-Critic
Algorithms.” ArXiv:2201.00570, 2022.
short: A. Redder, A. Ramaswamy, H. Karl, ArXiv:2201.00570 (2022).
date_created: 2022-04-06T06:53:52Z
date_updated: 2022-11-18T09:33:42Z
department:
- _id: '75'
external_id:
arxiv:
- '2201.00570'
language:
- iso: eng
project:
- _id: '16'
name: 'SFB 901 - C4: SFB 901 - Subproject C4'
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '4'
name: 'SFB 901 - C: SFB 901 - Project Area C'
publication: arXiv:2201.00570
status: public
title: Asymptotic Convergence of Deep Multi-Agent Actor-Critic Algorithms
type: preprint
user_id: '477'
year: '2022'
...
---
_id: '32590'
author:
- first_name: Cedric
full_name: Richter, Cedric
id: '50003'
last_name: Richter
- first_name: Heike
full_name: Wehrheim, Heike
id: '573'
last_name: Wehrheim
citation:
ama: 'Richter C, Wehrheim H. Learning Realistic Mutations: Bug Creation for Neural
Bug Detectors. In: 2022 IEEE Conference on Software Testing, Verification and
Validation (ICST). ; 2022:162-173. doi:10.1109/ICST53961.2022.00027'
apa: 'Richter, C., & Wehrheim, H. (2022). Learning Realistic Mutations: Bug
Creation for Neural Bug Detectors. 2022 IEEE Conference on Software Testing,
Verification and Validation (ICST), 162–173. https://doi.org/10.1109/ICST53961.2022.00027'
bibtex: '@inproceedings{Richter_Wehrheim_2022, title={Learning Realistic Mutations:
Bug Creation for Neural Bug Detectors}, DOI={10.1109/ICST53961.2022.00027},
booktitle={2022 IEEE Conference on Software Testing, Verification and Validation
(ICST)}, author={Richter, Cedric and Wehrheim, Heike}, year={2022}, pages={162–173}
}'
chicago: 'Richter, Cedric, and Heike Wehrheim. “Learning Realistic Mutations: Bug
Creation for Neural Bug Detectors.” In 2022 IEEE Conference on Software Testing,
Verification and Validation (ICST), 162–73, 2022. https://doi.org/10.1109/ICST53961.2022.00027.'
ieee: 'C. Richter and H. Wehrheim, “Learning Realistic Mutations: Bug Creation for
Neural Bug Detectors,” in 2022 IEEE Conference on Software Testing, Verification
and Validation (ICST), 2022, pp. 162–173, doi: 10.1109/ICST53961.2022.00027.'
mla: 'Richter, Cedric, and Heike Wehrheim. “Learning Realistic Mutations: Bug Creation
for Neural Bug Detectors.” 2022 IEEE Conference on Software Testing, Verification
and Validation (ICST), 2022, pp. 162–73, doi:10.1109/ICST53961.2022.00027.'
short: 'C. Richter, H. Wehrheim, in: 2022 IEEE Conference on Software Testing, Verification
and Validation (ICST), 2022, pp. 162–173.'
date_created: 2022-08-08T07:40:04Z
date_updated: 2022-11-18T09:45:40Z
department:
- _id: '77'
doi: 10.1109/ICST53961.2022.00027
language:
- iso: eng
page: 162-173
project:
- _id: '12'
name: 'SFB 901 - B4: SFB 901 - Subproject B4'
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
publication: 2022 IEEE Conference on Software Testing, Verification and Validation
(ICST)
status: public
title: 'Learning Realistic Mutations: Bug Creation for Neural Bug Detectors'
type: conference
user_id: '477'
year: '2022'
...
---
_id: '32591'
author:
- first_name: Cedric
full_name: Richter, Cedric
id: '50003'
last_name: Richter
- first_name: Heike
full_name: Wehrheim, Heike
id: '573'
last_name: Wehrheim
citation:
ama: 'Richter C, Wehrheim H. TSSB-3M: Mining single statement bugs at massive scale.
In: 2022 IEEE/ACM 19th International Conference on Mining Software Repositories
(MSR). ; 2022:418-422. doi:10.1145/3524842.3528505'
apa: 'Richter, C., & Wehrheim, H. (2022). TSSB-3M: Mining single statement bugs
at massive scale. 2022 IEEE/ACM 19th International Conference on Mining Software
Repositories (MSR), 418–422. https://doi.org/10.1145/3524842.3528505'
bibtex: '@inproceedings{Richter_Wehrheim_2022, title={TSSB-3M: Mining single statement
bugs at massive scale}, DOI={10.1145/3524842.3528505},
booktitle={2022 IEEE/ACM 19th International Conference on Mining Software Repositories
(MSR)}, author={Richter, Cedric and Wehrheim, Heike}, year={2022}, pages={418–422}
}'
chicago: 'Richter, Cedric, and Heike Wehrheim. “TSSB-3M: Mining Single Statement
Bugs at Massive Scale.” In 2022 IEEE/ACM 19th International Conference on Mining
Software Repositories (MSR), 418–22, 2022. https://doi.org/10.1145/3524842.3528505.'
ieee: 'C. Richter and H. Wehrheim, “TSSB-3M: Mining single statement bugs at massive
scale,” in 2022 IEEE/ACM 19th International Conference on Mining Software Repositories
(MSR), 2022, pp. 418–422, doi: 10.1145/3524842.3528505.'
mla: 'Richter, Cedric, and Heike Wehrheim. “TSSB-3M: Mining Single Statement Bugs
at Massive Scale.” 2022 IEEE/ACM 19th International Conference on Mining Software
Repositories (MSR), 2022, pp. 418–22, doi:10.1145/3524842.3528505.'
short: 'C. Richter, H. Wehrheim, in: 2022 IEEE/ACM 19th International Conference
on Mining Software Repositories (MSR), 2022, pp. 418–422.'
date_created: 2022-08-08T07:42:19Z
date_updated: 2022-11-18T09:45:05Z
department:
- _id: '77'
doi: 10.1145/3524842.3528505
language:
- iso: eng
page: 418-422
project:
- _id: '12'
name: 'SFB 901 - B4: SFB 901 - Subproject B4'
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
publication: 2022 IEEE/ACM 19th International Conference on Mining Software Repositories
(MSR)
status: public
title: 'TSSB-3M: Mining single statement bugs at massive scale'
type: conference
user_id: '477'
year: '2022'
...
---
_id: '32398'
author:
- first_name: Hanna
full_name: Siek, Hanna
last_name: Siek
citation:
ama: 'Siek H. Bringing Structure to Structure-Preserving Signatures: Overview,
Implementation and Comparison of Selected SPS Schemes.; 2022.'
apa: 'Siek, H. (2022). Bringing Structure to Structure-Preserving Signatures:
Overview, Implementation and Comparison of Selected SPS Schemes.'
bibtex: '@book{Siek_2022, title={Bringing Structure to Structure-Preserving Signatures:
Overview, Implementation and Comparison of Selected SPS Schemes}, author={Siek,
Hanna}, year={2022} }'
chicago: 'Siek, Hanna. Bringing Structure to Structure-Preserving Signatures:
Overview, Implementation and Comparison of Selected SPS Schemes, 2022.'
ieee: 'H. Siek, Bringing Structure to Structure-Preserving Signatures: Overview,
Implementation and Comparison of Selected SPS Schemes. 2022.'
mla: 'Siek, Hanna. Bringing Structure to Structure-Preserving Signatures: Overview,
Implementation and Comparison of Selected SPS Schemes. 2022.'
short: 'H. Siek, Bringing Structure to Structure-Preserving Signatures: Overview,
Implementation and Comparison of Selected SPS Schemes, 2022.'
date_created: 2022-07-20T09:36:39Z
date_updated: 2022-11-18T09:38:04Z
department:
- _id: '64'
- _id: '7'
language:
- iso: eng
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'
- _id: '84'
name: 'SFB 901 - T2: SFB 901 -Subproject T2'
- _id: '82'
name: 'SFB 901 - T: SFB 901 - Project Area T'
status: public
supervisor:
- first_name: Johannes
full_name: Blömer, Johannes
id: '23'
last_name: Blömer
title: 'Bringing Structure to Structure-Preserving Signatures: Overview, Implementation
and Comparison of Selected SPS Schemes'
type: bachelorsthesis
user_id: '477'
year: '2022'
...
---
_id: '31485'
author:
- first_name: Paul
full_name: Kramer, Paul
id: '64594'
last_name: Kramer
citation:
ama: Kramer P. On Transforming Lattice-Based Cryptography to the Ring Setting.;
2022.
apa: Kramer, P. (2022). On Transforming Lattice-Based Cryptography to the Ring
Setting.
bibtex: '@book{Kramer_2022, title={On Transforming Lattice-Based Cryptography to
the Ring Setting}, author={Kramer, Paul}, year={2022} }'
chicago: Kramer, Paul. On Transforming Lattice-Based Cryptography to the Ring
Setting, 2022.
ieee: P. Kramer, On Transforming Lattice-Based Cryptography to the Ring Setting.
2022.
mla: Kramer, Paul. On Transforming Lattice-Based Cryptography to the Ring Setting.
2022.
short: P. Kramer, On Transforming Lattice-Based Cryptography to the Ring Setting,
2022.
date_created: 2022-05-28T08:07:40Z
date_updated: 2022-11-18T09:40:28Z
department:
- _id: '7'
- _id: '64'
extern: '1'
language:
- iso: eng
project:
- _id: '4'
name: 'SFB 901 - C: SFB 901 - Project Area C'
- _id: '13'
name: 'SFB 901 - C1: SFB 901 - Subproject C1'
- _id: '1'
name: 'SFB 901: SFB 901'
status: public
title: On Transforming Lattice-Based Cryptography to the Ring Setting
type: mastersthesis
user_id: '477'
year: '2022'
...
---
_id: '31806'
abstract:
- lang: eng
text: The creation of an RDF knowledge graph for a particular application commonly
involves a pipeline of tools that transform a set ofinput data sources into an
RDF knowledge graph in a process called dataset augmentation. The components of
such augmentation pipelines often require extensive configuration to lead to satisfactory
results. Thus, non-experts are often unable to use them. Wepresent an efficient
supervised algorithm based on genetic programming for learning knowledge graph
augmentation pipelines of arbitrary length. Our approach uses multi-expression
learning to learn augmentation pipelines able to achieve a high F-measure on the
training data. Our evaluation suggests that our approach can efficiently learn
a larger class of RDF dataset augmentation tasks than the state of the art while
using only a single training example. Even on the most complex augmentation problem
we posed, our approach consistently achieves an average F1-measure of 99% in under
500 iterations with an average runtime of 16 seconds
author:
- first_name: Kevin
full_name: Dreßler, Kevin
id: '78256'
last_name: Dreßler
- first_name: Mohamed
full_name: Sherif, Mohamed
id: '67234'
last_name: Sherif
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Dreßler K, Sherif M, Ngonga Ngomo A-C. ADAGIO - Automated Data Augmentation
of Knowledge Graphs Using Multi-expression Learning. In: Proceedings of the
33rd ACM Conference on Hypertext and Hypermedia. ; 2022. doi:10.1145/3511095.3531287'
apa: 'Dreßler, K., Sherif, M., & Ngonga Ngomo, A.-C. (2022). ADAGIO - Automated
Data Augmentation of Knowledge Graphs Using Multi-expression Learning. Proceedings
of the 33rd ACM Conference on Hypertext and Hypermedia. HT ’22: 33rd ACM Conference
on Hypertext and Social Media, Barcelona (Spain). https://doi.org/10.1145/3511095.3531287'
bibtex: '@inproceedings{Dreßler_Sherif_Ngonga Ngomo_2022, title={ADAGIO - Automated
Data Augmentation of Knowledge Graphs Using Multi-expression Learning}, DOI={10.1145/3511095.3531287}, booktitle={Proceedings
of the 33rd ACM Conference on Hypertext and Hypermedia}, author={Dreßler, Kevin
and Sherif, Mohamed and Ngonga Ngomo, Axel-Cyrille}, year={2022} }'
chicago: Dreßler, Kevin, Mohamed Sherif, and Axel-Cyrille Ngonga Ngomo. “ADAGIO
- Automated Data Augmentation of Knowledge Graphs Using Multi-Expression Learning.”
In Proceedings of the 33rd ACM Conference on Hypertext and Hypermedia,
2022. https://doi.org/10.1145/3511095.3531287.
ieee: 'K. Dreßler, M. Sherif, and A.-C. Ngonga Ngomo, “ADAGIO - Automated Data Augmentation
of Knowledge Graphs Using Multi-expression Learning,” presented at the HT ’22:
33rd ACM Conference on Hypertext and Social Media, Barcelona (Spain), 2022, doi:
10.1145/3511095.3531287.'
mla: Dreßler, Kevin, et al. “ADAGIO - Automated Data Augmentation of Knowledge Graphs
Using Multi-Expression Learning.” Proceedings of the 33rd ACM Conference on
Hypertext and Hypermedia, 2022, doi:10.1145/3511095.3531287.
short: 'K. Dreßler, M. Sherif, A.-C. Ngonga Ngomo, in: Proceedings of the 33rd ACM
Conference on Hypertext and Hypermedia, 2022.'
conference:
end_date: 2022-07-01
location: Barcelona (Spain)
name: 'HT ’22: 33rd ACM Conference on Hypertext and Social Media'
start_date: 2022-06-28
date_created: 2022-06-08T08:47:33Z
date_updated: 2022-11-18T10:11:38Z
ddc:
- '000'
department:
- _id: '34'
doi: 10.1145/3511095.3531287
keyword:
- 2022 RAKI SFB901 deer dice kevin knowgraphs limes ngonga sherif simba
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: Proceedings of the 33rd ACM Conference on Hypertext and Hypermedia
status: public
title: ADAGIO - Automated Data Augmentation of Knowledge Graphs Using Multi-expression
Learning
type: conference
user_id: '477'
year: '2022'
...
---
_id: '32854'
author:
- first_name: Adrian
full_name: Redder, Adrian
id: '52265'
last_name: Redder
orcid: https://orcid.org/0000-0001-7391-4688
- first_name: Arunselvan
full_name: Ramaswamy, Arunselvan
id: '66937'
last_name: Ramaswamy
orcid: https://orcid.org/ 0000-0001-7547-8111
- first_name: Holger
full_name: Karl, Holger
id: '126'
last_name: Karl
citation:
ama: Redder A, Ramaswamy A, Karl H. Practical Network Conditions for the Convergence
of Distributed Optimization. IFAC-PapersOnLine. 2022;55(13):133–138.
apa: Redder, A., Ramaswamy, A., & Karl, H. (2022). Practical Network Conditions
for the Convergence of Distributed Optimization. IFAC-PapersOnLine, 55(13),
133–138.
bibtex: '@article{Redder_Ramaswamy_Karl_2022, title={Practical Network Conditions
for the Convergence of Distributed Optimization}, volume={55}, number={13}, journal={IFAC-PapersOnLine},
publisher={Elsevier}, author={Redder, Adrian and Ramaswamy, Arunselvan and Karl,
Holger}, year={2022}, pages={133–138} }'
chicago: 'Redder, Adrian, Arunselvan Ramaswamy, and Holger Karl. “Practical Network
Conditions for the Convergence of Distributed Optimization.” IFAC-PapersOnLine
55, no. 13 (2022): 133–138.'
ieee: A. Redder, A. Ramaswamy, and H. Karl, “Practical Network Conditions for the
Convergence of Distributed Optimization,” IFAC-PapersOnLine, vol. 55, no.
13, pp. 133–138, 2022.
mla: Redder, Adrian, et al. “Practical Network Conditions for the Convergence of
Distributed Optimization.” IFAC-PapersOnLine, vol. 55, no. 13, Elsevier,
2022, pp. 133–138.
short: A. Redder, A. Ramaswamy, H. Karl, IFAC-PapersOnLine 55 (2022) 133–138.
conference:
name: IFAC Conference on Networked Systems
date_created: 2022-08-16T09:12:55Z
date_updated: 2022-11-18T10:05:14Z
ddc:
- '006'
department:
- _id: '75'
file:
- access_level: closed
content_type: application/pdf
creator: aredder
date_created: 2022-08-31T07:06:30Z
date_updated: 2022-08-31T07:06:30Z
file_id: '33236'
file_name: NecSys2022____Practical_Conditions_for_Conv.pdf
file_size: 298395
relation: main_file
success: 1
file_date_updated: 2022-08-31T07:06:30Z
has_accepted_license: '1'
intvolume: ' 55'
issue: '13'
language:
- iso: eng
page: 133–138
project:
- _id: '16'
name: 'SFB 901 - C4: SFB 901 - Subproject C4'
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '4'
name: 'SFB 901 - C: SFB 901 - Project Area C'
publication: IFAC-PapersOnLine
publisher: Elsevier
status: public
title: Practical Network Conditions for the Convergence of Distributed Optimization
type: journal_article
user_id: '477'
volume: 55
year: '2022'
...
---
_id: '33253'
author:
- first_name: Tim
full_name: Hansmeier, Tim
id: '49992'
last_name: Hansmeier
orcid: 0000-0003-1377-3339
- first_name: Mathis
full_name: Brede, Mathis
last_name: Brede
- first_name: Marco
full_name: Platzner, Marco
id: '398'
last_name: Platzner
citation:
ama: 'Hansmeier T, Brede M, Platzner M. XCS on Embedded Systems: An Analysis of
Execution Profiles and Accelerated Classifier Deletion. In: GECCO ’22: Proceedings
of the Genetic and Evolutionary Computation Conference Companion. Association
for Computing Machinery (ACM); 2022:2071-2079. doi:10.1145/3520304.3533977'
apa: 'Hansmeier, T., Brede, M., & Platzner, M. (2022). XCS on Embedded Systems:
An Analysis of Execution Profiles and Accelerated Classifier Deletion. GECCO
’22: Proceedings of the Genetic and Evolutionary Computation Conference Companion,
2071–2079. https://doi.org/10.1145/3520304.3533977'
bibtex: '@inproceedings{Hansmeier_Brede_Platzner_2022, place={New York, NY, United
States}, title={XCS on Embedded Systems: An Analysis of Execution Profiles and
Accelerated Classifier Deletion}, DOI={10.1145/3520304.3533977},
booktitle={GECCO ’22: Proceedings of the Genetic and Evolutionary Computation
Conference Companion}, publisher={Association for Computing Machinery (ACM)},
author={Hansmeier, Tim and Brede, Mathis and Platzner, Marco}, year={2022}, pages={2071–2079}
}'
chicago: 'Hansmeier, Tim, Mathis Brede, and Marco Platzner. “XCS on Embedded Systems:
An Analysis of Execution Profiles and Accelerated Classifier Deletion.” In GECCO
’22: Proceedings of the Genetic and Evolutionary Computation Conference Companion,
2071–79. New York, NY, United States: Association for Computing Machinery (ACM),
2022. https://doi.org/10.1145/3520304.3533977.'
ieee: 'T. Hansmeier, M. Brede, and M. Platzner, “XCS on Embedded Systems: An Analysis
of Execution Profiles and Accelerated Classifier Deletion,” in GECCO ’22: Proceedings
of the Genetic and Evolutionary Computation Conference Companion, Boston,
MA, USA, 2022, pp. 2071–2079, doi: 10.1145/3520304.3533977.'
mla: 'Hansmeier, Tim, et al. “XCS on Embedded Systems: An Analysis of Execution
Profiles and Accelerated Classifier Deletion.” GECCO ’22: Proceedings of the
Genetic and Evolutionary Computation Conference Companion, Association for
Computing Machinery (ACM), 2022, pp. 2071–79, doi:10.1145/3520304.3533977.'
short: 'T. Hansmeier, M. Brede, M. Platzner, in: GECCO ’22: Proceedings of the Genetic
and Evolutionary Computation Conference Companion, Association for Computing Machinery
(ACM), New York, NY, United States, 2022, pp. 2071–2079.'
conference:
end_date: 2022-07-13
location: Boston, MA, USA
name: International Workshop on Learning Classifier Systems (IWLCS 2022)
start_date: 2022-07-09
date_created: 2022-09-02T11:47:17Z
date_updated: 2022-11-18T10:13:22Z
department:
- _id: '78'
doi: 10.1145/3520304.3533977
language:
- iso: eng
page: 2071-2079
place: New York, NY, United States
project:
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '14'
name: 'SFB 901 - C2: SFB 901 - Subproject C2'
- _id: '4'
name: 'SFB 901 - C: SFB 901 - Project Area C'
publication: 'GECCO ''22: Proceedings of the Genetic and Evolutionary Computation
Conference Companion'
publication_status: published
publisher: Association for Computing Machinery (ACM)
status: public
title: 'XCS on Embedded Systems: An Analysis of Execution Profiles and Accelerated
Classifier Deletion'
type: conference
user_id: '477'
year: '2022'
...
---
_id: '33274'
author:
- first_name: Wei-Fan
full_name: Chen, Wei-Fan
id: '82920'
last_name: Chen
- first_name: Mei-Hua
full_name: Chen, Mei-Hua
last_name: Chen
- first_name: Garima
full_name: Mudgal, Garima
last_name: Mudgal
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
citation:
ama: 'Chen W-F, Chen M-H, Mudgal G, Wachsmuth H. Analyzing Culture-Specific Argument
Structures in Learner Essays. In: Proceedings of the 9th Workshop on Argument
Mining (ArgMining 2022). ; 2022:51-61.'
apa: Chen, W.-F., Chen, M.-H., Mudgal, G., & Wachsmuth, H. (2022). Analyzing
Culture-Specific Argument Structures in Learner Essays. Proceedings of the
9th Workshop on Argument Mining (ArgMining 2022), 51–61.
bibtex: '@inproceedings{Chen_Chen_Mudgal_Wachsmuth_2022, title={Analyzing Culture-Specific
Argument Structures in Learner Essays}, booktitle={Proceedings of the 9th Workshop
on Argument Mining (ArgMining 2022)}, author={Chen, Wei-Fan and Chen, Mei-Hua
and Mudgal, Garima and Wachsmuth, Henning}, year={2022}, pages={51–61} }'
chicago: Chen, Wei-Fan, Mei-Hua Chen, Garima Mudgal, and Henning Wachsmuth. “Analyzing
Culture-Specific Argument Structures in Learner Essays.” In Proceedings of
the 9th Workshop on Argument Mining (ArgMining 2022), 51–61, 2022.
ieee: W.-F. Chen, M.-H. Chen, G. Mudgal, and H. Wachsmuth, “Analyzing Culture-Specific
Argument Structures in Learner Essays,” in Proceedings of the 9th Workshop
on Argument Mining (ArgMining 2022), 2022, pp. 51–61.
mla: Chen, Wei-Fan, et al. “Analyzing Culture-Specific Argument Structures in Learner
Essays.” Proceedings of the 9th Workshop on Argument Mining (ArgMining 2022),
2022, pp. 51–61.
short: 'W.-F. Chen, M.-H. Chen, G. Mudgal, H. Wachsmuth, in: Proceedings of the
9th Workshop on Argument Mining (ArgMining 2022), 2022, pp. 51–61.'
date_created: 2022-09-06T13:51:23Z
date_updated: 2022-11-18T09:56:17Z
department:
- _id: '600'
language:
- iso: eng
page: 51 - 61
project:
- _id: '9'
name: 'SFB 901 - B1: SFB 901 - Subproject B1'
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
publication: Proceedings of the 9th Workshop on Argument Mining (ArgMining 2022)
status: public
title: Analyzing Culture-Specific Argument Structures in Learner Essays
type: conference
user_id: '477'
year: '2022'
...
---
_id: '33491'
author:
- first_name: Marten
full_name: Maack, Marten
id: '88252'
last_name: Maack
- first_name: Simon
full_name: Pukrop, Simon
id: '44428'
last_name: Pukrop
- first_name: Anna Rodriguez
full_name: Rasmussen, Anna Rodriguez
last_name: Rasmussen
citation:
ama: 'Maack M, Pukrop S, Rasmussen AR. (In-)Approximability Results for Interval,
Resource Restricted, and Low Rank Scheduling. In: Chechik S, Navarro G, Rotenberg
E, Herman G, eds. 30th Annual European Symposium on Algorithms, ESA 2022, September
5-9, 2022, Berlin/Potsdam, Germany. Vol 244. LIPIcs. Schloss Dagstuhl - Leibniz-Zentrum
für Informatik; 2022:77:1–77:13. doi:10.4230/LIPIcs.ESA.2022.77'
apa: Maack, M., Pukrop, S., & Rasmussen, A. R. (2022). (In-)Approximability
Results for Interval, Resource Restricted, and Low Rank Scheduling. In S. Chechik,
G. Navarro, E. Rotenberg, & G. Herman (Eds.), 30th Annual European Symposium
on Algorithms, ESA 2022, September 5-9, 2022, Berlin/Potsdam, Germany (Vol.
244, p. 77:1–77:13). Schloss Dagstuhl - Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.ESA.2022.77
bibtex: '@inproceedings{Maack_Pukrop_Rasmussen_2022, series={LIPIcs}, title={(In-)Approximability
Results for Interval, Resource Restricted, and Low Rank Scheduling}, volume={244},
DOI={10.4230/LIPIcs.ESA.2022.77},
booktitle={30th Annual European Symposium on Algorithms, ESA 2022, September 5-9,
2022, Berlin/Potsdam, Germany}, publisher={Schloss Dagstuhl - Leibniz-Zentrum
für Informatik}, author={Maack, Marten and Pukrop, Simon and Rasmussen, Anna Rodriguez},
editor={Chechik, Shiri and Navarro, Gonzalo and Rotenberg, Eva and Herman, Grzegorz},
year={2022}, pages={77:1–77:13}, collection={LIPIcs} }'
chicago: Maack, Marten, Simon Pukrop, and Anna Rodriguez Rasmussen. “(In-)Approximability
Results for Interval, Resource Restricted, and Low Rank Scheduling.” In 30th
Annual European Symposium on Algorithms, ESA 2022, September 5-9, 2022, Berlin/Potsdam,
Germany, edited by Shiri Chechik, Gonzalo Navarro, Eva Rotenberg, and Grzegorz
Herman, 244:77:1–77:13. LIPIcs. Schloss Dagstuhl - Leibniz-Zentrum für Informatik,
2022. https://doi.org/10.4230/LIPIcs.ESA.2022.77.
ieee: 'M. Maack, S. Pukrop, and A. R. Rasmussen, “(In-)Approximability Results for
Interval, Resource Restricted, and Low Rank Scheduling,” in 30th Annual European
Symposium on Algorithms, ESA 2022, September 5-9, 2022, Berlin/Potsdam, Germany,
2022, vol. 244, p. 77:1–77:13, doi: 10.4230/LIPIcs.ESA.2022.77.'
mla: Maack, Marten, et al. “(In-)Approximability Results for Interval, Resource
Restricted, and Low Rank Scheduling.” 30th Annual European Symposium on Algorithms,
ESA 2022, September 5-9, 2022, Berlin/Potsdam, Germany, edited by Shiri Chechik
et al., vol. 244, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2022, p.
77:1–77:13, doi:10.4230/LIPIcs.ESA.2022.77.
short: 'M. Maack, S. Pukrop, A.R. Rasmussen, in: S. Chechik, G. Navarro, E. Rotenberg,
G. Herman (Eds.), 30th Annual European Symposium on Algorithms, ESA 2022, September
5-9, 2022, Berlin/Potsdam, Germany, Schloss Dagstuhl - Leibniz-Zentrum für Informatik,
2022, p. 77:1–77:13.'
date_created: 2022-09-27T13:06:05Z
date_updated: 2022-11-18T10:14:14Z
department:
- _id: '63'
doi: 10.4230/LIPIcs.ESA.2022.77
editor:
- first_name: Shiri
full_name: Chechik, Shiri
last_name: Chechik
- first_name: Gonzalo
full_name: Navarro, Gonzalo
last_name: Navarro
- first_name: Eva
full_name: Rotenberg, Eva
last_name: Rotenberg
- first_name: Grzegorz
full_name: Herman, Grzegorz
last_name: Herman
intvolume: ' 244'
language:
- iso: eng
page: 77:1–77:13
project:
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '16'
name: 'SFB 901 - C4: SFB 901 - Subproject C4'
- _id: '4'
name: 'SFB 901 - C: SFB 901 - Project Area C'
publication: 30th Annual European Symposium on Algorithms, ESA 2022, September 5-9,
2022, Berlin/Potsdam, Germany
publisher: Schloss Dagstuhl - Leibniz-Zentrum für Informatik
series_title: LIPIcs
status: public
title: (In-)Approximability Results for Interval, Resource Restricted, and Low Rank
Scheduling
type: conference
user_id: '477'
volume: 244
year: '2022'
...
---
_id: '34140'
abstract:
- lang: eng
text: In this paper, machine learning techniques will be used to classify different
PCB layouts given their electromagnetic frequency spectra. These spectra result
from a simulated near-field measurement of electric field strengths at different
locations. Measured values consist of real and imaginary parts (amplitude and
phase) in X, Y and Z directions. Training data was obtained in the time domain
by varying transmission line geometries (size, distance and signaling). It was
then transformed into the frequency domain and used as deep neural network input.
Principal component analysis was applied to reduce the sample dimension. The results
show that classifying different designs is possible with high accuracy based on
synthetic data. Future work comprises measurements of real, custom-made PCB with
varying parameters to adapt the simulation model and also test the neural network.
Finally, the trained model could be used to give hints about the error’s cause
when overshooting EMC limits.
author:
- first_name: Jad
full_name: Maalouly, Jad
last_name: Maalouly
- first_name: Dennis
full_name: Hemker, Dennis
last_name: Hemker
- first_name: Christian
full_name: Hedayat, Christian
last_name: Hedayat
- first_name: Christian
full_name: Rückert, Christian
last_name: Rückert
- first_name: Ivan
full_name: Kaufmann, Ivan
last_name: Kaufmann
- first_name: Marcel
full_name: Olbrich, Marcel
last_name: Olbrich
- first_name: Sven
full_name: Lange, Sven
id: '38240'
last_name: Lange
- first_name: Harald
full_name: Mathis, Harald
last_name: Mathis
citation:
ama: 'Maalouly J, Hemker D, Hedayat C, et al. AI Assisted Interference Classification
to Improve EMC Troubleshooting in Electronic System Development. In: 2022 Kleinheubach
Conference. IEEE; 2022.'
apa: Maalouly, J., Hemker, D., Hedayat, C., Rückert, C., Kaufmann, I., Olbrich,
M., Lange, S., & Mathis, H. (2022). AI Assisted Interference Classification
to Improve EMC Troubleshooting in Electronic System Development. 2022 Kleinheubach
Conference. 2022 Kleinheubach Conference, Miltenberg, Germany.
bibtex: '@inproceedings{Maalouly_Hemker_Hedayat_Rückert_Kaufmann_Olbrich_Lange_Mathis_2022,
place={Miltenberg, Germany}, title={AI Assisted Interference Classification to
Improve EMC Troubleshooting in Electronic System Development}, booktitle={2022
Kleinheubach Conference}, publisher={IEEE}, author={Maalouly, Jad and Hemker,
Dennis and Hedayat, Christian and Rückert, Christian and Kaufmann, Ivan and Olbrich,
Marcel and Lange, Sven and Mathis, Harald}, year={2022} }'
chicago: 'Maalouly, Jad, Dennis Hemker, Christian Hedayat, Christian Rückert, Ivan
Kaufmann, Marcel Olbrich, Sven Lange, and Harald Mathis. “AI Assisted Interference
Classification to Improve EMC Troubleshooting in Electronic System Development.”
In 2022 Kleinheubach Conference. Miltenberg, Germany: IEEE, 2022.'
ieee: J. Maalouly et al., “AI Assisted Interference Classification to Improve
EMC Troubleshooting in Electronic System Development,” presented at the 2022 Kleinheubach
Conference, Miltenberg, Germany, 2022.
mla: Maalouly, Jad, et al. “AI Assisted Interference Classification to Improve EMC
Troubleshooting in Electronic System Development.” 2022 Kleinheubach Conference,
IEEE, 2022.
short: 'J. Maalouly, D. Hemker, C. Hedayat, C. Rückert, I. Kaufmann, M. Olbrich,
S. Lange, H. Mathis, in: 2022 Kleinheubach Conference, IEEE, Miltenberg, Germany,
2022.'
conference:
end_date: 2022-09-29
location: Miltenberg, Germany
name: 2022 Kleinheubach Conference
start_date: 2022-09-27
date_created: 2022-11-24T14:21:17Z
date_updated: 2022-11-24T14:21:34Z
department:
- _id: '59'
- _id: '485'
keyword:
- emc
- pcb
- electronic system development
- machine learning
- neural network
language:
- iso: eng
main_file_link:
- url: https://ieeexplore.ieee.org/document/9954484
place: Miltenberg, Germany
project:
- _id: '52'
name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing'
publication: 2022 Kleinheubach Conference
publication_identifier:
eisbn:
- 978-3-948571-07-8
publication_status: published
publisher: IEEE
status: public
title: AI Assisted Interference Classification to Improve EMC Troubleshooting in Electronic
System Development
type: conference
user_id: '38240'
year: '2022'
...
---
_id: '34155'
author:
- first_name: Stefan
full_name: Krauter, Stefan
id: '28836'
last_name: Krauter
orcid: 0000-0002-3594-260X
- first_name: Jörg
full_name: Bendfeld, Jörg
id: '16148'
last_name: Bendfeld
citation:
ama: 'Krauter S, Bendfeld J. Microinverter PV Systems: New Efficiency Rankings and
Formula for Energy Yield Assessment for any PV Panel Size at different Microinverter
types. In: Proceedings of the 8th World Conference on Photovoltaik Energy Conversion.
; 2022.'
apa: 'Krauter, S., & Bendfeld, J. (2022). Microinverter PV Systems: New Efficiency
Rankings and Formula for Energy Yield Assessment for any PV Panel Size at different
Microinverter types. Proceedings of the 8th World Conference on Photovoltaik
Energy Conversion. 8th World Conference on Photovoltaik Energy Conversion,
Milano / Italy.'
bibtex: '@inproceedings{Krauter_Bendfeld_2022, title={Microinverter PV Systems:
New Efficiency Rankings and Formula for Energy Yield Assessment for any PV Panel
Size at different Microinverter types}, booktitle={Proceedings of the 8th World
Conference on Photovoltaik Energy Conversion}, author={Krauter, Stefan and Bendfeld,
Jörg}, year={2022} }'
chicago: 'Krauter, Stefan, and Jörg Bendfeld. “Microinverter PV Systems: New Efficiency
Rankings and Formula for Energy Yield Assessment for Any PV Panel Size at Different
Microinverter Types.” In Proceedings of the 8th World Conference on Photovoltaik
Energy Conversion, 2022.'
ieee: 'S. Krauter and J. Bendfeld, “Microinverter PV Systems: New Efficiency Rankings
and Formula for Energy Yield Assessment for any PV Panel Size at different Microinverter
types,” presented at the 8th World Conference on Photovoltaik Energy Conversion,
Milano / Italy, 2022.'
mla: 'Krauter, Stefan, and Jörg Bendfeld. “Microinverter PV Systems: New Efficiency
Rankings and Formula for Energy Yield Assessment for Any PV Panel Size at Different
Microinverter Types.” Proceedings of the 8th World Conference on Photovoltaik
Energy Conversion, 2022.'
short: 'S. Krauter, J. Bendfeld, in: Proceedings of the 8th World Conference on
Photovoltaik Energy Conversion, 2022.'
conference:
end_date: 2022-09-30
location: Milano / Italy
name: 8th World Conference on Photovoltaik Energy Conversion
start_date: 2022-09-26
date_created: 2022-11-29T09:55:14Z
date_updated: 2022-11-29T10:00:44Z
department:
- _id: '53'
language:
- iso: eng
publication: Proceedings of the 8th World Conference on Photovoltaik Energy Conversion
status: public
title: 'Microinverter PV Systems: New Efficiency Rankings and Formula for Energy Yield
Assessment for any PV Panel Size at different Microinverter types'
type: conference
user_id: '16148'
year: '2022'
...
---
_id: '34156'
author:
- first_name: Josephine Nakato
full_name: Kakande, Josephine Nakato
id: '88649'
last_name: Kakande
- first_name: Godiana Hagile
full_name: Philipo, Godiana Hagile
last_name: Philipo
- first_name: Stefan
full_name: Krauter, Stefan
id: '28836'
last_name: Krauter
orcid: 0000-0002-3594-260X
citation:
ama: 'Kakande JN, Philipo GH, Krauter S. Optimal Design of a Semi Grid-Connected
PV System for a Site in Lwak, Kenya Using HOMER. In: Proceedings of the 8th
World Conference on Photovoltaik Energy Conversion. ; 2022.'
apa: Kakande, J. N., Philipo, G. H., & Krauter, S. (2022). Optimal Design of
a Semi Grid-Connected PV System for a Site in Lwak, Kenya Using HOMER. Proceedings
of the 8th World Conference on Photovoltaik Energy Conversion. 8th World Conference
on Photovoltaik Energy Conversion, Milano / Italy.
bibtex: '@inproceedings{Kakande_Philipo_Krauter_2022, title={Optimal Design of a
Semi Grid-Connected PV System for a Site in Lwak, Kenya Using HOMER}, booktitle={Proceedings
of the 8th World Conference on Photovoltaik Energy Conversion}, author={Kakande,
Josephine Nakato and Philipo, Godiana Hagile and Krauter, Stefan}, year={2022}
}'
chicago: Kakande, Josephine Nakato, Godiana Hagile Philipo, and Stefan Krauter.
“Optimal Design of a Semi Grid-Connected PV System for a Site in Lwak, Kenya Using
HOMER.” In Proceedings of the 8th World Conference on Photovoltaik Energy Conversion,
2022.
ieee: J. N. Kakande, G. H. Philipo, and S. Krauter, “Optimal Design of a Semi Grid-Connected
PV System for a Site in Lwak, Kenya Using HOMER,” presented at the 8th World Conference
on Photovoltaik Energy Conversion, Milano / Italy, 2022.
mla: Kakande, Josephine Nakato, et al. “Optimal Design of a Semi Grid-Connected
PV System for a Site in Lwak, Kenya Using HOMER.” Proceedings of the 8th World
Conference on Photovoltaik Energy Conversion, 2022.
short: 'J.N. Kakande, G.H. Philipo, S. Krauter, in: Proceedings of the 8th World
Conference on Photovoltaik Energy Conversion, 2022.'
conference:
end_date: 2022-09-30
location: Milano / Italy
name: 8th World Conference on Photovoltaik Energy Conversion
start_date: 2022-09-26
date_created: 2022-11-29T10:03:24Z
date_updated: 2022-11-29T10:03:30Z
department:
- _id: '53'
language:
- iso: eng
publication: Proceedings of the 8th World Conference on Photovoltaik Energy Conversion
status: public
title: Optimal Design of a Semi Grid-Connected PV System for a Site in Lwak, Kenya
Using HOMER
type: conference
user_id: '16148'
year: '2022'
...
---
_id: '29769'
abstract:
- lang: eng
text: 'Wettstreit zwischen der Entwicklung neuer Hardwaretrojaner und entsprechender
Gegenmaßnahmen beschreiten Widersacher immer raffiniertere Wege um Schaltungsentwürfe
zu infizieren und dabei selbst fortgeschrittene Test- und Verifikationsmethoden
zu überlisten. Abgesehen von den konventionellen Methoden um einen Trojaner in
eine Schaltung für ein Field-programmable Gate Array (FPGA) einzuschleusen, können
auch die Entwurfswerkzeuge heimlich kompromittiert werden um einen Angreifer dabei
zu unterstützen einen erfolgreichen Angriff durchzuführen, der zum Beispiel Fehlfunktionen
oder ungewollte Informationsabflüsse bewirken kann. Diese Dissertation beschäftigt
sich hauptsächlich mit den beiden Blickwinkeln auf Hardwaretrojaner in rekonfigurierbaren
Systemen, einerseits der Perspektive des Verteidigers mit einer Methode zur Erkennung
von Trojanern auf der Bitstromebene, und andererseits derjenigen des Angreifers
mit einer neuartigen Angriffsmethode für FPGA Trojaner. Für die Verteidigung gegen
den Trojaner ``Heimtückische LUT'''' stellen wir die allererste erfolgreiche Gegenmaßnahme
vor, die durch Verifikation mittels Proof-carrying Hardware (PCH) auf der Bitstromebene
direkt vor der Konfiguration der Hardware angewendet werden kann, und präsentieren
ein vollständiges Schema für den Entwurf und die Verifikation von Schaltungen
für iCE40 FPGAs. Für die Gegenseite führen wir einen neuen Angriff ein, welcher
bösartiges Routing im eingefügten Trojaner ausnutzt um selbst im fertigen Bitstrom
in einem inaktiven Zustand zu verbleiben: Hierdurch kann dieser neuartige Angriff
zur Zeit weder von herkömmlichen Test- und Verifikationsmethoden, noch von unserer
vorher vorgestellten Verifikation auf der Bitstromebene entdeckt werden.'
- lang: eng
text: The battle of developing hardware Trojans and corresponding countermeasures
has taken adversaries towards ingenious ways of compromising hardware designs
by circumventing even advanced testing and verification methods. Besides conventional
methods of inserting Trojans into a design by a malicious entity, the design flow
for field-programmable gate arrays (FPGAs) can also be surreptitiously compromised
to assist the attacker to perform a successful malfunctioning or information leakage
attack. This thesis mainly focuses on the two aspects of hardware Trojans in reconfigurable
systems, the defenders perspective which corresponds to the bitstream-level Trojan
detection technique, and the attackers perspective which corresponds to a novel
FPGA Trojan attack. From the defender's perspective, we introduce a first-ever
successful pre-configuration countermeasure against the ``Malicious LUT''-hardware
Trojan, by employing bitstream-level Proof-Carrying Hardware (PCH) and present
the complete design-and-verification flow for iCE40 FPGAs. Likewise, from an attackers
perspective, we present a novel attack that leverages malicious routing of the
inserted Trojan circuit to acquire a dormant state even in the generated and transmitted
bitstream. Since the Trojan is injected in a post-synthesis step and remains unconnected
in the bitstream, the presented attack can currently neither be prevented by conventional
testing and verification methods nor by bitstream-level verification techniques.
author:
- first_name: Qazi Arbab
full_name: Ahmed, Qazi Arbab
id: '72764'
last_name: Ahmed
orcid: 0000-0002-1837-2254
citation:
ama: Ahmed QA. Hardware Trojans in Reconfigurable Computing. Paderborn University,
Paderborn, Germany; 2022. doi:10.17619/UNIPB/1-1271
apa: Ahmed, Q. A. (2022). Hardware Trojans in Reconfigurable Computing. Paderborn
University, Paderborn, Germany. https://doi.org/10.17619/UNIPB/1-1271
bibtex: '@book{Ahmed_2022, place={Paderborn}, title={Hardware Trojans in Reconfigurable
Computing}, DOI={10.17619/UNIPB/1-1271},
publisher={ Paderborn University, Paderborn, Germany}, author={Ahmed, Qazi Arbab},
year={2022} }'
chicago: 'Ahmed, Qazi Arbab. Hardware Trojans in Reconfigurable Computing.
Paderborn: Paderborn University, Paderborn, Germany, 2022. https://doi.org/10.17619/UNIPB/1-1271.'
ieee: 'Q. A. Ahmed, Hardware Trojans in Reconfigurable Computing. Paderborn: Paderborn
University, Paderborn, Germany, 2022.'
mla: Ahmed, Qazi Arbab. Hardware Trojans in Reconfigurable Computing. Paderborn
University, Paderborn, Germany, 2022, doi:10.17619/UNIPB/1-1271.
short: Q.A. Ahmed, Hardware Trojans in Reconfigurable Computing, Paderborn University,
Paderborn, Germany, Paderborn, 2022.
date_created: 2022-02-07T14:02:36Z
date_updated: 2022-11-30T13:39:01Z
ddc:
- '004'
department:
- _id: '78'
doi: 10.17619/UNIPB/1-1271
has_accepted_license: '1'
keyword:
- FPGA Security
- Hardware Trojans
- Bitstream-level Trojans
- Bitstream Verification
language:
- iso: eng
main_file_link:
- open_access: '1'
url: "\turn:nbn:de:hbz:466:2-40303"
oa: '1'
place: Paderborn
project:
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '4'
name: 'SFB 901 - C: SFB 901 - Project Area C'
- _id: '14'
name: 'SFB 901 - C2: SFB 901 - Subproject C2'
publication_status: published
publisher: ' Paderborn University, Paderborn, Germany'
status: public
supervisor:
- first_name: Marco
full_name: Platzner, Marco
id: '398'
last_name: Platzner
title: Hardware Trojans in Reconfigurable Computing
type: dissertation
user_id: '477'
year: '2022'
...
---
_id: '33669'
abstract:
- lang: eng
text: Far-field multi-speaker automatic speech recognition (ASR) has drawn increasing
attention in recent years. Most existing methods feature a signal processing frontend
and an ASR backend. In realistic scenarios, these modules are usually trained
separately or progressively, which suffers from either inter-module mismatch or
a complicated training process. In this paper, we propose an end-to-end multi-channel
model that jointly optimizes the speech enhancement (including speech dereverberation,
denoising, and separation) frontend and the ASR backend as a single system. To
the best of our knowledge, this is the first work that proposes to optimize dereverberation,
beamforming, and multi-speaker ASR in a fully end-to-end manner. The frontend
module consists of a weighted prediction error (WPE) based submodule for dereverberation
and a neural beamformer for denoising and speech separation. For the backend,
we adopt a widely used end-to-end (E2E) ASR architecture. It is worth noting that
the entire model is differentiable and can be optimized in a fully end-to-end
manner using only the ASR criterion, without the need of parallel signal-level
labels. We evaluate the proposed model on several multi-speaker benchmark datasets,
and experimental results show that the fully E2E ASR model can achieve competitive
performance on both noisy and reverberant conditions, with over 30% relative word
error rate (WER) reduction over the single-channel baseline systems.
author:
- first_name: Wangyou
full_name: Zhang, Wangyou
last_name: Zhang
- first_name: Xuankai
full_name: Chang, Xuankai
last_name: Chang
- first_name: Christoph
full_name: Boeddeker, Christoph
id: '40767'
last_name: Boeddeker
- first_name: Tomohiro
full_name: Nakatani, Tomohiro
last_name: Nakatani
- first_name: Shinji
full_name: Watanabe, Shinji
last_name: Watanabe
- first_name: Yanmin
full_name: Qian, Yanmin
last_name: Qian
citation:
ama: Zhang W, Chang X, Boeddeker C, Nakatani T, Watanabe S, Qian Y. End-to-End Dereverberation,
Beamforming, and Speech Recognition in A Cocktail Party. IEEE/ACM Transactions
on Audio, Speech, and Language Processing. Published online 2022. doi:10.1109/TASLP.2022.3209942
apa: Zhang, W., Chang, X., Boeddeker, C., Nakatani, T., Watanabe, S., & Qian,
Y. (2022). End-to-End Dereverberation, Beamforming, and Speech Recognition in
A Cocktail Party. IEEE/ACM Transactions on Audio, Speech, and Language Processing.
https://doi.org/10.1109/TASLP.2022.3209942
bibtex: '@article{Zhang_Chang_Boeddeker_Nakatani_Watanabe_Qian_2022, title={End-to-End
Dereverberation, Beamforming, and Speech Recognition in A Cocktail Party}, DOI={10.1109/TASLP.2022.3209942},
journal={IEEE/ACM Transactions on Audio, Speech, and Language Processing}, author={Zhang,
Wangyou and Chang, Xuankai and Boeddeker, Christoph and Nakatani, Tomohiro and
Watanabe, Shinji and Qian, Yanmin}, year={2022} }'
chicago: Zhang, Wangyou, Xuankai Chang, Christoph Boeddeker, Tomohiro Nakatani,
Shinji Watanabe, and Yanmin Qian. “End-to-End Dereverberation, Beamforming, and
Speech Recognition in A Cocktail Party.” IEEE/ACM Transactions on Audio, Speech,
and Language Processing, 2022. https://doi.org/10.1109/TASLP.2022.3209942.
ieee: 'W. Zhang, X. Chang, C. Boeddeker, T. Nakatani, S. Watanabe, and Y. Qian,
“End-to-End Dereverberation, Beamforming, and Speech Recognition in A Cocktail
Party,” IEEE/ACM Transactions on Audio, Speech, and Language Processing,
2022, doi: 10.1109/TASLP.2022.3209942.'
mla: Zhang, Wangyou, et al. “End-to-End Dereverberation, Beamforming, and Speech
Recognition in A Cocktail Party.” IEEE/ACM Transactions on Audio, Speech, and
Language Processing, 2022, doi:10.1109/TASLP.2022.3209942.
short: W. Zhang, X. Chang, C. Boeddeker, T. Nakatani, S. Watanabe, Y. Qian, IEEE/ACM
Transactions on Audio, Speech, and Language Processing (2022).
date_created: 2022-10-11T07:27:51Z
date_updated: 2022-12-05T12:35:31Z
ddc:
- '000'
department:
- _id: '54'
doi: 10.1109/TASLP.2022.3209942
file:
- access_level: open_access
content_type: application/pdf
creator: huesera
date_created: 2022-10-11T07:23:13Z
date_updated: 2022-10-11T07:23:13Z
file_id: '33674'
file_name: End-to-End_Dereverberation_Beamforming_and_Speech_Recognition_in_A_Cocktail_Party.pdf
file_size: 6167931
relation: main_file
file_date_updated: 2022-10-11T07:23:13Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
publication: IEEE/ACM Transactions on Audio, Speech, and Language Processing
publication_identifier:
issn:
- 'Print ISSN: 2329-9290 Electronic ISSN: 2329-9304'
publication_status: published
related_material:
link:
- relation: confirmation
url: https://ieeexplore.ieee.org/abstract/document/9904314
status: public
title: End-to-End Dereverberation, Beamforming, and Speech Recognition in A Cocktail
Party
type: journal_article
user_id: '40767'
year: '2022'
...
---
_id: '34197'
abstract:
- lang: eng
text: AbstractComprehensive data understanding
is a key success driver for data analytics projects. Knowing the characteristics
of the data helps a lot in selecting the appropriate data analysis techniques.
Especially in data-driven product planning, knowledge about the data is a necessary
prerequisite because data of the use phase is very heterogeneous. However, companies
often do not have the necessary know-how or time to build up solid data understanding
in connection with data analysis. In this paper, we develop a methodology to organize
and categorize and thus understand use phase data in a way that makes it accessible
to general data analytics workflows, following a design science research approach.
We first present a knowledge base that lists typical use phase data from a product
planning view. Second, we develop a taxonomy based on standard literature and
real data objects, which covers the diversity of the data considered. The taxonomy
provides 8 dimensions that support classification of use phase data and allows
to capture data characteristics from a data analytics view. Finally, we combine
both views by clustering the objects of the knowledge base according to the taxonomy.
Each of the resulting clusters covers a typical combination of analytics relevant
characteristics occurring in practice. By abstracting from the diversity of use
phase data into artifacts with manageable complexity, our approach provides guidance
to choose appropriate data analysis and AI techniques.
author:
- first_name: Melina
full_name: Panzner, Melina
last_name: Panzner
- first_name: Sebastian
full_name: von Enzberg, Sebastian
last_name: von Enzberg
- first_name: Maurice
full_name: Meyer, Maurice
last_name: Meyer
- first_name: Roman
full_name: Dumitrescu, Roman
last_name: Dumitrescu
citation:
ama: Panzner M, von Enzberg S, Meyer M, Dumitrescu R. Characterization of Usage
Data with the Help of Data Classifications. Journal of the Knowledge Economy.
Published online 2022. doi:10.1007/s13132-022-01081-z
apa: Panzner, M., von Enzberg, S., Meyer, M., & Dumitrescu, R. (2022). Characterization
of Usage Data with the Help of Data Classifications. Journal of the Knowledge
Economy. https://doi.org/10.1007/s13132-022-01081-z
bibtex: '@article{Panzner_von Enzberg_Meyer_Dumitrescu_2022, title={Characterization
of Usage Data with the Help of Data Classifications}, DOI={10.1007/s13132-022-01081-z},
journal={Journal of the Knowledge Economy}, publisher={Springer Science and Business
Media LLC}, author={Panzner, Melina and von Enzberg, Sebastian and Meyer, Maurice
and Dumitrescu, Roman}, year={2022} }'
chicago: Panzner, Melina, Sebastian von Enzberg, Maurice Meyer, and Roman Dumitrescu.
“Characterization of Usage Data with the Help of Data Classifications.” Journal
of the Knowledge Economy, 2022. https://doi.org/10.1007/s13132-022-01081-z.
ieee: 'M. Panzner, S. von Enzberg, M. Meyer, and R. Dumitrescu, “Characterization
of Usage Data with the Help of Data Classifications,” Journal of the Knowledge
Economy, 2022, doi: 10.1007/s13132-022-01081-z.'
mla: Panzner, Melina, et al. “Characterization of Usage Data with the Help of Data
Classifications.” Journal of the Knowledge Economy, Springer Science and
Business Media LLC, 2022, doi:10.1007/s13132-022-01081-z.
short: M. Panzner, S. von Enzberg, M. Meyer, R. Dumitrescu, Journal of the Knowledge
Economy (2022).
date_created: 2022-12-05T12:49:56Z
date_updated: 2022-12-05T12:51:03Z
department:
- _id: '563'
doi: 10.1007/s13132-022-01081-z
keyword:
- Economics and Econometrics
language:
- iso: eng
publication: Journal of the Knowledge Economy
publication_identifier:
issn:
- 1868-7865
- 1868-7873
publication_status: published
publisher: Springer Science and Business Media LLC
status: public
title: Characterization of Usage Data with the Help of Data Classifications
type: journal_article
user_id: '15782'
year: '2022'
...
---
_id: '34196'
abstract:
- lang: eng
text: Mounting sensors in disk stack separators is often a major challenge
due to the operating conditions. However, a process cannot be optimally monitored
without sensors. Virtual sensors can be a solution to calculate the sought parameters
from measurable values. We measured the vibrations of disk stack separators and
applied machine learning (ML) to detect whether the separator contains only water
or whether particles are also present. We combined seven ML classification algorithms
with three feature engineering strategies and evaluated our model successfully
on vibration data of an experimental disk stack separator. Our experimental results
demonstrate that random forest in combination with manual feature engineering
using domain specific knowledge about suitable features outperforms all other
models with an accuracy of 91.27 %.
author:
- first_name: Silke
full_name: Merkelbach, Silke
last_name: Merkelbach
- first_name: Lameya
full_name: Afroze, Lameya
last_name: Afroze
- first_name: Nils
full_name: Janssen, Nils
last_name: Janssen
- first_name: Sebastian
full_name: von Enzberg, Sebastian
last_name: von Enzberg
- first_name: Arno
full_name: Kühn, Arno
last_name: Kühn
- first_name: Roman
full_name: Dumitrescu, Roman
last_name: Dumitrescu
citation:
ama: Merkelbach S, Afroze L, Janssen N, von Enzberg S, Kühn A, Dumitrescu R. Using
vibration data to classify conditions in disk stack separators. Vibroengineering
PROCEDIA. 2022;46:21-26. doi:10.21595/vp.2022.23000
apa: Merkelbach, S., Afroze, L., Janssen, N., von Enzberg, S., Kühn, A., & Dumitrescu,
R. (2022). Using vibration data to classify conditions in disk stack separators.
Vibroengineering PROCEDIA, 46, 21–26. https://doi.org/10.21595/vp.2022.23000
bibtex: '@article{Merkelbach_Afroze_Janssen_von Enzberg_Kühn_Dumitrescu_2022, title={Using
vibration data to classify conditions in disk stack separators}, volume={46},
DOI={10.21595/vp.2022.23000},
journal={Vibroengineering PROCEDIA}, publisher={JVE International Ltd.}, author={Merkelbach,
Silke and Afroze, Lameya and Janssen, Nils and von Enzberg, Sebastian and Kühn,
Arno and Dumitrescu, Roman}, year={2022}, pages={21–26} }'
chicago: 'Merkelbach, Silke, Lameya Afroze, Nils Janssen, Sebastian von Enzberg,
Arno Kühn, and Roman Dumitrescu. “Using Vibration Data to Classify Conditions
in Disk Stack Separators.” Vibroengineering PROCEDIA 46 (2022): 21–26.
https://doi.org/10.21595/vp.2022.23000.'
ieee: 'S. Merkelbach, L. Afroze, N. Janssen, S. von Enzberg, A. Kühn, and R. Dumitrescu,
“Using vibration data to classify conditions in disk stack separators,” Vibroengineering
PROCEDIA, vol. 46, pp. 21–26, 2022, doi: 10.21595/vp.2022.23000.'
mla: Merkelbach, Silke, et al. “Using Vibration Data to Classify Conditions in Disk
Stack Separators.” Vibroengineering PROCEDIA, vol. 46, JVE International
Ltd., 2022, pp. 21–26, doi:10.21595/vp.2022.23000.
short: S. Merkelbach, L. Afroze, N. Janssen, S. von Enzberg, A. Kühn, R. Dumitrescu,
Vibroengineering PROCEDIA 46 (2022) 21–26.
date_created: 2022-12-05T12:47:22Z
date_updated: 2022-12-05T12:51:08Z
department:
- _id: '563'
doi: 10.21595/vp.2022.23000
intvolume: ' 46'
keyword:
- General Medicine
language:
- iso: eng
page: 21-26
publication: Vibroengineering PROCEDIA
publication_identifier:
issn:
- 2345-0533
- 2538-8479
publication_status: published
publisher: JVE International Ltd.
status: public
title: Using vibration data to classify conditions in disk stack separators
type: journal_article
user_id: '15782'
volume: 46
year: '2022'
...
---
_id: '34195'
author:
- first_name: Daniela
full_name: Hobscheidt, Daniela
last_name: Hobscheidt
- first_name: Jörn Steffen
full_name: Menzefricke, Jörn Steffen
last_name: Menzefricke
- first_name: Stefan
full_name: Gabriel, Stefan
last_name: Gabriel
- first_name: Arno
full_name: Kühn, Arno
last_name: Kühn
- first_name: Roman
full_name: Dumitrescu, Roman
last_name: Dumitrescu
citation:
ama: 'Hobscheidt D, Menzefricke JS, Gabriel S, Kühn A, Dumitrescu R. Soziotechnische
Herausforderungen bei der Einführung von RPA managen. In: Praxishandbuch Robotic
Process Automation (RPA). Springer Fachmedien Wiesbaden; 2022. doi:10.1007/978-3-658-38379-4_8'
apa: Hobscheidt, D., Menzefricke, J. S., Gabriel, S., Kühn, A., & Dumitrescu,
R. (2022). Soziotechnische Herausforderungen bei der Einführung von RPA managen.
In Praxishandbuch Robotic Process Automation (RPA). Springer Fachmedien
Wiesbaden. https://doi.org/10.1007/978-3-658-38379-4_8
bibtex: '@inbook{Hobscheidt_Menzefricke_Gabriel_Kühn_Dumitrescu_2022, place={Wiesbaden},
title={Soziotechnische Herausforderungen bei der Einführung von RPA managen},
DOI={10.1007/978-3-658-38379-4_8},
booktitle={Praxishandbuch Robotic Process Automation (RPA)}, publisher={Springer
Fachmedien Wiesbaden}, author={Hobscheidt, Daniela and Menzefricke, Jörn Steffen
and Gabriel, Stefan and Kühn, Arno and Dumitrescu, Roman}, year={2022} }'
chicago: 'Hobscheidt, Daniela, Jörn Steffen Menzefricke, Stefan Gabriel, Arno Kühn,
and Roman Dumitrescu. “Soziotechnische Herausforderungen Bei Der Einführung von
RPA Managen.” In Praxishandbuch Robotic Process Automation (RPA). Wiesbaden:
Springer Fachmedien Wiesbaden, 2022. https://doi.org/10.1007/978-3-658-38379-4_8.'
ieee: 'D. Hobscheidt, J. S. Menzefricke, S. Gabriel, A. Kühn, and R. Dumitrescu,
“Soziotechnische Herausforderungen bei der Einführung von RPA managen,” in Praxishandbuch
Robotic Process Automation (RPA), Wiesbaden: Springer Fachmedien Wiesbaden,
2022.'
mla: Hobscheidt, Daniela, et al. “Soziotechnische Herausforderungen Bei Der Einführung
von RPA Managen.” Praxishandbuch Robotic Process Automation (RPA), Springer
Fachmedien Wiesbaden, 2022, doi:10.1007/978-3-658-38379-4_8.
short: 'D. Hobscheidt, J.S. Menzefricke, S. Gabriel, A. Kühn, R. Dumitrescu, in:
Praxishandbuch Robotic Process Automation (RPA), Springer Fachmedien Wiesbaden,
Wiesbaden, 2022.'
date_created: 2022-12-05T12:46:56Z
date_updated: 2022-12-05T12:51:11Z
department:
- _id: '563'
doi: 10.1007/978-3-658-38379-4_8
language:
- iso: eng
place: Wiesbaden
publication: Praxishandbuch Robotic Process Automation (RPA)
publication_identifier:
isbn:
- '9783658383787'
- '9783658383794'
publication_status: published
publisher: Springer Fachmedien Wiesbaden
status: public
title: Soziotechnische Herausforderungen bei der Einführung von RPA managen
type: book_chapter
user_id: '15782'
year: '2022'
...