---
_id: '63059'
abstract:
- lang: eng
text: "AbstractWhile high accuracy is of paramount
importance for deep learning (DL) inference, serving inference requests on time
is equally critical but has not been carefully studied especially when the request
has to be served over a dynamic wireless network at the edge. In this paper, we
propose Jellyfish—a novel edge DL inference serving system that achieves soft
guarantees for end-to-end inference latency service-level objectives (SLO). Jellyfish
handles the network variability by utilizing both data and deep neural network
(DNN) adaptation to conduct tradeoffs between accuracy and latency. Jellyfish
features a new design that enables collective adaptation policies where the decisions
for data and DNN adaptations are aligned and coordinated among multiple users
with varying network conditions. We propose efficient algorithms to continuously
map users and adapt DNNs at runtime, so that we fulfill latency SLOs while maximizing
the overall inference accuracy. We further investigate dynamic
DNNs, i.e., DNNs that encompass multiple architecture variants, and demonstrate
their potential benefit through preliminary experiments. Our experiments based
on a prototype implementation and real-world WiFi and LTE network traces show
that Jellyfish can meet latency SLOs at around the 99th percentile while maintaining
high accuracy.\r\n"
author:
- first_name: Vinod
full_name: Nigade, Vinod
last_name: Nigade
- first_name: Pablo
full_name: Bauszat, Pablo
last_name: Bauszat
- first_name: Henri
full_name: Bal, Henri
last_name: Bal
- first_name: Lin
full_name: Wang, Lin
id: '102868'
last_name: Wang
orcid: 0000-0001-7181-6128
citation:
ama: Nigade V, Bauszat P, Bal H, Wang L. Inference serving with end-to-end latency
SLOs over dynamic edge networks. Real-Time Systems. 2024;60(2):239-290.
doi:10.1007/s11241-024-09418-4
apa: Nigade, V., Bauszat, P., Bal, H., & Wang, L. (2024). Inference serving
with end-to-end latency SLOs over dynamic edge networks. Real-Time Systems,
60(2), 239–290. https://doi.org/10.1007/s11241-024-09418-4
bibtex: '@article{Nigade_Bauszat_Bal_Wang_2024, title={Inference serving with end-to-end
latency SLOs over dynamic edge networks}, volume={60}, DOI={10.1007/s11241-024-09418-4},
number={2}, journal={Real-Time Systems}, publisher={Springer Science and Business
Media LLC}, author={Nigade, Vinod and Bauszat, Pablo and Bal, Henri and Wang,
Lin}, year={2024}, pages={239–290} }'
chicago: 'Nigade, Vinod, Pablo Bauszat, Henri Bal, and Lin Wang. “Inference Serving
with End-to-End Latency SLOs over Dynamic Edge Networks.” Real-Time Systems
60, no. 2 (2024): 239–90. https://doi.org/10.1007/s11241-024-09418-4.'
ieee: 'V. Nigade, P. Bauszat, H. Bal, and L. Wang, “Inference serving with end-to-end
latency SLOs over dynamic edge networks,” Real-Time Systems, vol. 60, no.
2, pp. 239–290, 2024, doi: 10.1007/s11241-024-09418-4.'
mla: Nigade, Vinod, et al. “Inference Serving with End-to-End Latency SLOs over
Dynamic Edge Networks.” Real-Time Systems, vol. 60, no. 2, Springer Science
and Business Media LLC, 2024, pp. 239–90, doi:10.1007/s11241-024-09418-4.
short: V. Nigade, P. Bauszat, H. Bal, L. Wang, Real-Time Systems 60 (2024) 239–290.
date_created: 2025-12-12T08:16:33Z
date_updated: 2025-12-12T08:18:05Z
department:
- _id: '34'
- _id: '7'
- _id: '75'
doi: 10.1007/s11241-024-09418-4
intvolume: ' 60'
issue: '2'
language:
- iso: eng
page: 239-290
publication: Real-Time Systems
publication_identifier:
issn:
- 0922-6443
- 1573-1383
publication_status: published
publisher: Springer Science and Business Media LLC
status: public
title: Inference serving with end-to-end latency SLOs over dynamic edge networks
type: journal_article
user_id: '102868'
volume: 60
year: '2024'
...
---
_id: '60195'
abstract:
- lang: eng
text: 'AbstractThis survey describes the structure
of the field of research on curriculum resources in mathematics education in the
period from 2018 till 2023. Based on the procedures of a systematic review relevant
literature was identified using Web of Science as a database. The included literature
was analyzed and categorized according to the type of curriculum resource and
the area of study. Seven areas of studies were identified: studies on the role
of curriculum resources, content analysis, user studies, studies on the effects
of curriculum resources, studies on curriculum resource design, curriculum resources
as data, and reviews. The areas were further subdivided into different subcategories
based on the research questions of the included papers. The findings show that
research on mathematics textbooks is still predominant in the field. The most
popular areas of research are content analysis, user studies, studies on design,
and studies on effects. Emerging areas are research on students’ use of curriculum
resources and the employment of user data from digital curriculum resources as
data basis in mathematics education research.'
author:
- first_name: Sebastian
full_name: Rezat, Sebastian
last_name: Rezat
citation:
ama: 'Rezat S. Research on curriculum resources in mathematics education: a survey
of the field. ZDM – Mathematics Education. 2024;56(2):223-237. doi:10.1007/s11858-024-01559-x'
apa: 'Rezat, S. (2024). Research on curriculum resources in mathematics education:
a survey of the field. ZDM – Mathematics Education, 56(2), 223–237.
https://doi.org/10.1007/s11858-024-01559-x'
bibtex: '@article{Rezat_2024, title={Research on curriculum resources in mathematics
education: a survey of the field}, volume={56}, DOI={10.1007/s11858-024-01559-x},
number={2}, journal={ZDM – Mathematics Education}, publisher={Springer Science
and Business Media LLC}, author={Rezat, Sebastian}, year={2024}, pages={223–237}
}'
chicago: 'Rezat, Sebastian. “Research on Curriculum Resources in Mathematics Education:
A Survey of the Field.” ZDM – Mathematics Education 56, no. 2 (2024): 223–37.
https://doi.org/10.1007/s11858-024-01559-x.'
ieee: 'S. Rezat, “Research on curriculum resources in mathematics education: a survey
of the field,” ZDM – Mathematics Education, vol. 56, no. 2, pp. 223–237,
2024, doi: 10.1007/s11858-024-01559-x.'
mla: 'Rezat, Sebastian. “Research on Curriculum Resources in Mathematics Education:
A Survey of the Field.” ZDM – Mathematics Education, vol. 56, no. 2, Springer
Science and Business Media LLC, 2024, pp. 223–37, doi:10.1007/s11858-024-01559-x.'
short: S. Rezat, ZDM – Mathematics Education 56 (2024) 223–237.
date_created: 2025-06-12T14:20:27Z
date_updated: 2025-12-16T13:09:16Z
department:
- _id: '360'
doi: 10.1007/s11858-024-01559-x
intvolume: ' 56'
issue: '2'
language:
- iso: eng
page: 223-237
publication: ZDM – Mathematics Education
publication_identifier:
issn:
- 1863-9690
- 1863-9704
publication_status: published
publisher: Springer Science and Business Media LLC
status: public
title: 'Research on curriculum resources in mathematics education: a survey of the
field'
type: journal_article
user_id: '31132'
volume: 56
year: '2024'
...
---
_id: '53824'
author:
- first_name: Kevin
full_name: Koch, Kevin
last_name: Koch
- first_name: Leander
full_name: Claes, Leander
id: '11829'
last_name: Claes
orcid: 0000-0002-4393-268X
- first_name: Benjamin
full_name: Jurgelucks, Benjamin
last_name: Jurgelucks
- first_name: Lars
full_name: Meihost, Lars
id: '24769'
last_name: Meihost
- first_name: Bernd
full_name: Henning, Bernd
id: '213'
last_name: Henning
citation:
ama: 'Koch K, Claes L, Jurgelucks B, Meihost L, Henning B. Inverses Verfahren zur
Identifikation piezoelektrischer Materialparameter unterstützt durch neuronale
Netze. In: Gesellschaft für Akustik e.V. D, ed. Fortschritte der Akustik -
DAGA 2024. ; 2024:1113–1116.'
apa: Koch, K., Claes, L., Jurgelucks, B., Meihost, L., & Henning, B. (2024).
Inverses Verfahren zur Identifikation piezoelektrischer Materialparameter unterstützt
durch neuronale Netze. In D. Gesellschaft für Akustik e.V. (Ed.), Fortschritte
der Akustik - DAGA 2024 (pp. 1113–1116).
bibtex: '@inproceedings{Koch_Claes_Jurgelucks_Meihost_Henning_2024, title={Inverses
Verfahren zur Identifikation piezoelektrischer Materialparameter unterstützt durch
neuronale Netze}, booktitle={Fortschritte der Akustik - DAGA 2024}, author={Koch,
Kevin and Claes, Leander and Jurgelucks, Benjamin and Meihost, Lars and Henning,
Bernd}, editor={Gesellschaft für Akustik e.V., Deutsche }, year={2024}, pages={1113–1116}
}'
chicago: Koch, Kevin, Leander Claes, Benjamin Jurgelucks, Lars Meihost, and Bernd
Henning. “Inverses Verfahren zur Identifikation piezoelektrischer Materialparameter
unterstützt durch neuronale Netze.” In Fortschritte der Akustik - DAGA 2024,
edited by Deutsche Gesellschaft für Akustik e.V., 1113–1116, 2024.
ieee: K. Koch, L. Claes, B. Jurgelucks, L. Meihost, and B. Henning, “Inverses Verfahren
zur Identifikation piezoelektrischer Materialparameter unterstützt durch neuronale
Netze,” in Fortschritte der Akustik - DAGA 2024, 2024, pp. 1113–1116.
mla: Koch, Kevin, et al. “Inverses Verfahren zur Identifikation piezoelektrischer
Materialparameter unterstützt durch neuronale Netze.” Fortschritte der Akustik
- DAGA 2024, edited by Deutsche Gesellschaft für Akustik e.V., 2024, pp.
1113–1116.
short: 'K. Koch, L. Claes, B. Jurgelucks, L. Meihost, B. Henning, in: D. Gesellschaft
für Akustik e.V. (Ed.), Fortschritte der Akustik - DAGA 2024, 2024, pp. 1113–1116.'
conference:
end_date: 2024-03-21
start_date: 2024-03-18
date_created: 2024-05-02T13:34:01Z
date_updated: 2026-01-05T07:56:42Z
ddc:
- '620'
department:
- _id: '49'
editor:
- first_name: 'Deutsche '
full_name: 'Gesellschaft für Akustik e.V., Deutsche '
last_name: Gesellschaft für Akustik e.V.
file:
- access_level: open_access
content_type: application/pdf
creator: leanderc
date_created: 2024-05-02T13:36:51Z
date_updated: 2024-05-02T14:06:28Z
file_id: '53825'
file_name: daga2024koch.pdf
file_size: 365911
relation: main_file
file_date_updated: 2024-05-02T14:06:28Z
has_accepted_license: '1'
language:
- iso: ger
oa: '1'
page: 1113–1116
project:
- _id: '90'
name: 'ChaMP: Ein modellbasiertes Messverfahren zur Charakterisierung der frequenzabhängigen
Materialeigenschaften von Piezokeramiken unter Verwendung eines einzelnen Probekörperindividuums'
- _id: '52'
name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing'
- _id: '245'
name: 'FOR 5208: Modellbasierte Bestimmung nichtlinearer Eigenschaften von Piezokeramiken
für Leistungsschallanwendungen (NEPTUN)'
publication: Fortschritte der Akustik - DAGA 2024
status: public
title: Inverses Verfahren zur Identifikation piezoelektrischer Materialparameter unterstützt
durch neuronale Netze
type: conference
user_id: '11829'
year: '2024'
...
---
_id: '56834'
author:
- first_name: Olga
full_name: Friesen, Olga
id: '44026'
last_name: Friesen
- first_name: Leander
full_name: Claes, Leander
id: '11829'
last_name: Claes
orcid: 0000-0002-4393-268X
- first_name: Claus
full_name: Scheidemann, Claus
id: '38259'
last_name: Scheidemann
- first_name: Nadine
full_name: Feldmann, Nadine
id: '23082'
last_name: Feldmann
- first_name: Tobias
full_name: Hemsel, Tobias
id: '210'
last_name: Hemsel
- first_name: Bernd
full_name: Henning, Bernd
id: '213'
last_name: Henning
citation:
ama: 'Friesen O, Claes L, Scheidemann C, Feldmann N, Hemsel T, Henning B. Estimation
of temperature-dependent piezoelectric material parameters using ring-shaped specimens.
In: 2023 International Congress on Ultrasonics, Beijing, China. Vol 2822.
IOP Publishing; 2024:012125. doi:10.1088/1742-6596/2822/1/012125'
apa: Friesen, O., Claes, L., Scheidemann, C., Feldmann, N., Hemsel, T., & Henning,
B. (2024). Estimation of temperature-dependent piezoelectric material parameters
using ring-shaped specimens. 2023 International Congress on Ultrasonics, Beijing,
China, 2822, 012125. https://doi.org/10.1088/1742-6596/2822/1/012125
bibtex: '@inproceedings{Friesen_Claes_Scheidemann_Feldmann_Hemsel_Henning_2024,
title={Estimation of temperature-dependent piezoelectric material parameters using
ring-shaped specimens}, volume={2822}, DOI={10.1088/1742-6596/2822/1/012125},
booktitle={2023 International Congress on Ultrasonics, Beijing, China}, publisher={IOP
Publishing}, author={Friesen, Olga and Claes, Leander and Scheidemann, Claus and
Feldmann, Nadine and Hemsel, Tobias and Henning, Bernd}, year={2024}, pages={012125}
}'
chicago: Friesen, Olga, Leander Claes, Claus Scheidemann, Nadine Feldmann, Tobias
Hemsel, and Bernd Henning. “Estimation of Temperature-Dependent Piezoelectric
Material Parameters Using Ring-Shaped Specimens.” In 2023 International Congress
on Ultrasonics, Beijing, China, 2822:012125. IOP Publishing, 2024. https://doi.org/10.1088/1742-6596/2822/1/012125.
ieee: 'O. Friesen, L. Claes, C. Scheidemann, N. Feldmann, T. Hemsel, and B. Henning,
“Estimation of temperature-dependent piezoelectric material parameters using ring-shaped
specimens,” in 2023 International Congress on Ultrasonics, Beijing, China,
2024, vol. 2822, p. 012125, doi: 10.1088/1742-6596/2822/1/012125.'
mla: Friesen, Olga, et al. “Estimation of Temperature-Dependent Piezoelectric Material
Parameters Using Ring-Shaped Specimens.” 2023 International Congress on Ultrasonics,
Beijing, China, vol. 2822, IOP Publishing, 2024, p. 012125, doi:10.1088/1742-6596/2822/1/012125.
short: 'O. Friesen, L. Claes, C. Scheidemann, N. Feldmann, T. Hemsel, B. Henning,
in: 2023 International Congress on Ultrasonics, Beijing, China, IOP Publishing,
2024, p. 012125.'
date_created: 2024-10-31T07:59:01Z
date_updated: 2026-01-05T07:58:55Z
department:
- _id: '49'
doi: 10.1088/1742-6596/2822/1/012125
intvolume: ' 2822'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://iopscience.iop.org/article/10.1088/1742-6596/2822/1/012125
oa: '1'
page: '012125'
project:
- _id: '245'
name: 'FOR 5208: Modellbasierte Bestimmung nichtlinearer Eigenschaften von Piezokeramiken
für Leistungsschallanwendungen (NEPTUN)'
publication: 2023 International Congress on Ultrasonics, Beijing, China
publication_identifier:
issn:
- 1742-6596
publisher: IOP Publishing
status: public
title: Estimation of temperature-dependent piezoelectric material parameters using
ring-shaped specimens
type: conference
user_id: '11829'
volume: 2822
year: '2024'
...
---
_id: '55470'
author:
- first_name: Kevin
full_name: Koch, Kevin
last_name: Koch
- first_name: Olga
full_name: Friesen, Olga
id: '44026'
last_name: Friesen
- first_name: Leander
full_name: Claes, Leander
id: '11829'
last_name: Claes
orcid: 0000-0002-4393-268X
citation:
ama: Koch K, Friesen O, Claes L. Randomised Material Parameter Impedance Dataset
of Piezoelectric Rings. Zenodo; 2024. doi:10.5281/zenodo.13143680
apa: Koch, K., Friesen, O., & Claes, L. (2024). Randomised material parameter
impedance dataset of piezoelectric rings. Zenodo. https://doi.org/10.5281/zenodo.13143680
bibtex: '@book{Koch_Friesen_Claes_2024, title={Randomised material parameter impedance
dataset of piezoelectric rings}, DOI={10.5281/zenodo.13143680},
publisher={Zenodo}, author={Koch, Kevin and Friesen, Olga and Claes, Leander},
year={2024} }'
chicago: Koch, Kevin, Olga Friesen, and Leander Claes. Randomised Material Parameter
Impedance Dataset of Piezoelectric Rings. Zenodo, 2024. https://doi.org/10.5281/zenodo.13143680.
ieee: K. Koch, O. Friesen, and L. Claes, Randomised material parameter impedance
dataset of piezoelectric rings. Zenodo, 2024.
mla: Koch, Kevin, et al. Randomised Material Parameter Impedance Dataset of Piezoelectric
Rings. Zenodo, 2024, doi:10.5281/zenodo.13143680.
short: K. Koch, O. Friesen, L. Claes, Randomised Material Parameter Impedance Dataset
of Piezoelectric Rings, Zenodo, 2024.
date_created: 2024-07-31T14:10:12Z
date_updated: 2026-01-05T07:57:46Z
department:
- _id: '49'
doi: 10.5281/zenodo.13143680
project:
- _id: '90'
name: 'ChaMP: Ein modellbasiertes Messverfahren zur Charakterisierung der frequenzabhängigen
Materialeigenschaften von Piezokeramiken unter Verwendung eines einzelnen Probekörperindividuums'
- _id: '52'
name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing'
- _id: '245'
name: 'FOR 5208: Modellbasierte Bestimmung nichtlinearer Eigenschaften von Piezokeramiken
für Leistungsschallanwendungen (NEPTUN)'
publisher: Zenodo
status: public
title: Randomised material parameter impedance dataset of piezoelectric rings
type: research_data
user_id: '11829'
year: '2024'
...
---
_id: '53662'
author:
- first_name: Kevin
full_name: Koch, Kevin
last_name: Koch
- first_name: Leander
full_name: Claes, Leander
id: '11829'
last_name: Claes
orcid: 0000-0002-4393-268X
citation:
ama: Koch K, Claes L. Randomised Material Parameter Piezoelectric Impedance Dataset
with Structured Electrodes. zenodo; 2024. doi:10.5281/ZENODO.11064206
apa: Koch, K., & Claes, L. (2024). Randomised material parameter piezoelectric
impedance dataset with structured electrodes. zenodo. https://doi.org/10.5281/ZENODO.11064206
bibtex: '@book{Koch_Claes_2024, title={Randomised material parameter piezoelectric
impedance dataset with structured electrodes}, DOI={10.5281/ZENODO.11064206},
publisher={zenodo}, author={Koch, Kevin and Claes, Leander}, year={2024} }'
chicago: Koch, Kevin, and Leander Claes. Randomised Material Parameter Piezoelectric
Impedance Dataset with Structured Electrodes. zenodo, 2024. https://doi.org/10.5281/ZENODO.11064206.
ieee: K. Koch and L. Claes, Randomised material parameter piezoelectric impedance
dataset with structured electrodes. zenodo, 2024.
mla: Koch, Kevin, and Leander Claes. Randomised Material Parameter Piezoelectric
Impedance Dataset with Structured Electrodes. zenodo, 2024, doi:10.5281/ZENODO.11064206.
short: K. Koch, L. Claes, Randomised Material Parameter Piezoelectric Impedance
Dataset with Structured Electrodes, zenodo, 2024.
date_created: 2024-04-25T13:54:49Z
date_updated: 2026-01-05T07:56:58Z
department:
- _id: '49'
doi: 10.5281/ZENODO.11064206
project:
- _id: '90'
name: 'ChaMP: Ein modellbasiertes Messverfahren zur Charakterisierung der frequenzabhängigen
Materialeigenschaften von Piezokeramiken unter Verwendung eines einzelnen Probekörperindividuums'
- _id: '52'
name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing'
- _id: '245'
name: 'FOR 5208: Modellbasierte Bestimmung nichtlinearer Eigenschaften von Piezokeramiken
für Leistungsschallanwendungen (NEPTUN)'
publisher: zenodo
status: public
title: Randomised material parameter piezoelectric impedance dataset with structured
electrodes
type: research_data
user_id: '11829'
year: '2024'
...
---
_id: '55416'
author:
- first_name: Leander
full_name: Claes, Leander
id: '11829'
last_name: Claes
orcid: 0000-0002-4393-268X
- first_name: Kevin
full_name: Koch, Kevin
last_name: Koch
- first_name: Olga
full_name: Friesen, Olga
id: '44026'
last_name: Friesen
- first_name: Lars
full_name: Meihost, Lars
id: '24769'
last_name: Meihost
citation:
ama: 'Claes L, Koch K, Friesen O, Meihost L. Machine Learning in Inverse Measurement
Problems: An Application to Piezoelectric Material Characterisation.; 2024.'
apa: 'Claes, L., Koch, K., Friesen, O., & Meihost, L. (2024). Machine learning
in inverse measurement problems: An application to piezoelectric material characterisation.'
bibtex: '@book{Claes_Koch_Friesen_Meihost_2024, place={International Workshop on
Piezoelectric Materials and Applications (IWPMA)}, title={Machine learning in
inverse measurement problems: An application to piezoelectric material characterisation},
author={Claes, Leander and Koch, Kevin and Friesen, Olga and Meihost, Lars}, year={2024}
}'
chicago: 'Claes, Leander, Kevin Koch, Olga Friesen, and Lars Meihost. Machine
Learning in Inverse Measurement Problems: An Application to Piezoelectric Material
Characterisation. International Workshop on Piezoelectric Materials and Applications
(IWPMA), 2024.'
ieee: 'L. Claes, K. Koch, O. Friesen, and L. Meihost, Machine learning in inverse
measurement problems: An application to piezoelectric material characterisation.
International Workshop on Piezoelectric Materials and Applications (IWPMA), 2024.'
mla: 'Claes, Leander, et al. Machine Learning in Inverse Measurement Problems:
An Application to Piezoelectric Material Characterisation. 2024.'
short: 'L. Claes, K. Koch, O. Friesen, L. Meihost, Machine Learning in Inverse Measurement
Problems: An Application to Piezoelectric Material Characterisation, International
Workshop on Piezoelectric Materials and Applications (IWPMA), 2024.'
date_created: 2024-07-29T12:34:21Z
date_updated: 2026-01-05T07:57:27Z
department:
- _id: '49'
language:
- iso: eng
place: International Workshop on Piezoelectric Materials and Applications (IWPMA)
project:
- _id: '52'
name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing'
- _id: '245'
name: 'FOR 5208: Modellbasierte Bestimmung nichtlinearer Eigenschaften von Piezokeramiken
für Leistungsschallanwendungen (NEPTUN)'
status: public
title: 'Machine learning in inverse measurement problems: An application to piezoelectric
material characterisation'
type: misc
user_id: '11829'
year: '2024'
...
---
_id: '56777'
abstract:
- lang: eng
text: The estimation of accurate piezoelectric material parameters is a fundamental
prerequisite for simulation-driven design of piezoelectric actuators and sensors.
Previous studies show that a full set of material parameters can be determined
in an inverse procedure using a single disc-shaped specimen with an electrode
structured for increased sensitivity with respect to all material parameters.
However, in the case of high-power actuator applications, ring-shaped piezoelectric
components are often employed, necessitating an adaptation of the previously developed
method. The alteration in geometry introduces some advantages. Accordingly, there
is no longer any requirement to modify the electrode structure in order to enhance
sensitivity. The method to estimate the material parameters presented here consists
of a total of three stages. An initial, approximate estimation of the material
parameters is determined using analytical approximations for the resonance frequencies
from the IEEE standard. These values are optimised in an inverse procedure that
employs analytic expressions for the electrical impedance of piezoelectric rings
as the forward model. Further refinement is achieved by using Finite Element (FE)
simulations as the forward model again in an inverse procedure. The method is
applied to electrical impedance measurement data, yielding material parameters
for hard piezoelectric rings. The result shows a good agreement between the simulation
and measurement results, indicating realistic material parameter values.
author:
- first_name: Olga
full_name: Friesen, Olga
id: '44026'
last_name: Friesen
- first_name: Leander
full_name: Claes, Leander
id: '11829'
last_name: Claes
orcid: 0000-0002-4393-268X
- first_name: Nadine
full_name: Feldmann, Nadine
id: '23082'
last_name: Feldmann
- first_name: Bernd
full_name: Henning, Bernd
id: '213'
last_name: Henning
citation:
ama: Friesen O, Claes L, Feldmann N, Henning B. Estimation of piezoelectric material
parameters of ring-shaped specimens. tm - Technisches Messen. Published
online 2024. doi:https://doi.org/10.1515/teme-2024-0107
apa: Friesen, O., Claes, L., Feldmann, N., & Henning, B. (2024). Estimation
of piezoelectric material parameters of ring-shaped specimens. Tm - Technisches
Messen. https://doi.org/10.1515/teme-2024-0107
bibtex: '@article{Friesen_Claes_Feldmann_Henning_2024, title={Estimation of piezoelectric
material parameters of ring-shaped specimens}, DOI={https://doi.org/10.1515/teme-2024-0107},
journal={tm - Technisches Messen}, publisher={De Gruyter}, author={Friesen, Olga
and Claes, Leander and Feldmann, Nadine and Henning, Bernd}, year={2024} }'
chicago: Friesen, Olga, Leander Claes, Nadine Feldmann, and Bernd Henning. “Estimation
of Piezoelectric Material Parameters of Ring-Shaped Specimens.” Tm - Technisches
Messen, 2024. https://doi.org/10.1515/teme-2024-0107.
ieee: 'O. Friesen, L. Claes, N. Feldmann, and B. Henning, “Estimation of piezoelectric
material parameters of ring-shaped specimens,” tm - Technisches Messen,
2024, doi: https://doi.org/10.1515/teme-2024-0107.'
mla: Friesen, Olga, et al. “Estimation of Piezoelectric Material Parameters of Ring-Shaped
Specimens.” Tm - Technisches Messen, De Gruyter, 2024, doi:https://doi.org/10.1515/teme-2024-0107.
short: O. Friesen, L. Claes, N. Feldmann, B. Henning, Tm - Technisches Messen (2024).
date_created: 2024-10-29T09:07:00Z
date_updated: 2026-01-05T07:59:24Z
department:
- _id: '49'
doi: https://doi.org/10.1515/teme-2024-0107
language:
- iso: eng
project:
- _id: '245'
name: 'FOR 5208: Modellbasierte Bestimmung nichtlinearer Eigenschaften von Piezokeramiken
für Leistungsschallanwendungen (NEPTUN)'
publication: tm - Technisches Messen
publication_identifier:
issn:
- 2196-7113
publication_status: published
publisher: De Gruyter
status: public
title: Estimation of piezoelectric material parameters of ring-shaped specimens
type: journal_article
user_id: '11829'
year: '2024'
...
---
_id: '54314'
alternative_title:
- Neural networks for initial value estimation in the identification of piezoelectric
material parameters
article_type: original
author:
- first_name: Kevin
full_name: Koch, Kevin
last_name: Koch
- first_name: Leander
full_name: Claes, Leander
id: '11829'
last_name: Claes
orcid: 0000-0002-4393-268X
- first_name: Benjamin
full_name: Jurgelucks, Benjamin
last_name: Jurgelucks
- first_name: Lars
full_name: Meihost, Lars
id: '24769'
last_name: Meihost
citation:
ama: Koch K, Claes L, Jurgelucks B, Meihost L. Neuronale Netze zur Startwertschätzung
bei der Identifikation piezoelektrischer Materialparameter. tm - Technisches
Messen. Published online 2024. doi:10.1515/teme-2024-0099
apa: Koch, K., Claes, L., Jurgelucks, B., & Meihost, L. (2024). Neuronale Netze
zur Startwertschätzung bei der Identifikation piezoelektrischer Materialparameter.
Tm - Technisches Messen. https://doi.org/10.1515/teme-2024-0099
bibtex: '@article{Koch_Claes_Jurgelucks_Meihost_2024, title={Neuronale Netze zur
Startwertschätzung bei der Identifikation piezoelektrischer Materialparameter},
DOI={10.1515/teme-2024-0099},
journal={tm - Technisches Messen}, publisher={Walter de Gruyter GmbH}, author={Koch,
Kevin and Claes, Leander and Jurgelucks, Benjamin and Meihost, Lars}, year={2024}
}'
chicago: Koch, Kevin, Leander Claes, Benjamin Jurgelucks, and Lars Meihost. “Neuronale
Netze Zur Startwertschätzung Bei Der Identifikation Piezoelektrischer Materialparameter.”
Tm - Technisches Messen, 2024. https://doi.org/10.1515/teme-2024-0099.
ieee: 'K. Koch, L. Claes, B. Jurgelucks, and L. Meihost, “Neuronale Netze zur Startwertschätzung
bei der Identifikation piezoelektrischer Materialparameter,” tm - Technisches
Messen, 2024, doi: 10.1515/teme-2024-0099.'
mla: Koch, Kevin, et al. “Neuronale Netze Zur Startwertschätzung Bei Der Identifikation
Piezoelektrischer Materialparameter.” Tm - Technisches Messen, Walter de
Gruyter GmbH, 2024, doi:10.1515/teme-2024-0099.
short: K. Koch, L. Claes, B. Jurgelucks, L. Meihost, Tm - Technisches Messen (2024).
date_created: 2024-05-17T08:26:55Z
date_updated: 2026-01-05T07:59:09Z
department:
- _id: '49'
doi: 10.1515/teme-2024-0099
language:
- iso: eng
main_file_link:
- url: https://www.degruyter.com/document/doi/10.1515/teme-2024-0099/html
project:
- _id: '90'
name: 'ChaMP: Ein modellbasiertes Messverfahren zur Charakterisierung der frequenzabhängigen
Materialeigenschaften von Piezokeramiken unter Verwendung eines einzelnen Probekörperindividuums'
- _id: '52'
name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing'
- _id: '245'
name: 'FOR 5208: Modellbasierte Bestimmung nichtlinearer Eigenschaften von Piezokeramiken
für Leistungsschallanwendungen (NEPTUN)'
publication: tm - Technisches Messen
publisher: Walter de Gruyter GmbH
quality_controlled: '1'
status: public
title: Neuronale Netze zur Startwertschätzung bei der Identifikation piezoelektrischer
Materialparameter
type: journal_article
user_id: '11829'
year: '2024'
...
---
_id: '57820'
article_number: '113600'
author:
- first_name: Vanja
full_name: Nikolić, Vanja
last_name: Nikolić
- first_name: Michael
full_name: Winkler, Michael
id: '31496'
last_name: Winkler
citation:
ama: Nikolić V, Winkler M. L∞ blow-up in the Jordan-Moore-Gibson-Thompson equation.
Nonlinear Analysis. 2024;247. doi:10.1016/j.na.2024.113600
apa: Nikolić, V., & Winkler, M. (2024). L∞ blow-up in the Jordan-Moore-Gibson-Thompson
equation. Nonlinear Analysis, 247, Article 113600. https://doi.org/10.1016/j.na.2024.113600
bibtex: '@article{Nikolić_Winkler_2024, title={L∞ blow-up in the Jordan-Moore-Gibson-Thompson
equation}, volume={247}, DOI={10.1016/j.na.2024.113600},
number={113600}, journal={Nonlinear Analysis}, publisher={Elsevier BV}, author={Nikolić,
Vanja and Winkler, Michael}, year={2024} }'
chicago: Nikolić, Vanja, and Michael Winkler. “L∞ Blow-up in the Jordan-Moore-Gibson-Thompson
Equation.” Nonlinear Analysis 247 (2024). https://doi.org/10.1016/j.na.2024.113600.
ieee: 'V. Nikolić and M. Winkler, “L∞ blow-up in the Jordan-Moore-Gibson-Thompson
equation,” Nonlinear Analysis, vol. 247, Art. no. 113600, 2024, doi: 10.1016/j.na.2024.113600.'
mla: Nikolić, Vanja, and Michael Winkler. “L∞ Blow-up in the Jordan-Moore-Gibson-Thompson
Equation.” Nonlinear Analysis, vol. 247, 113600, Elsevier BV, 2024, doi:10.1016/j.na.2024.113600.
short: V. Nikolić, M. Winkler, Nonlinear Analysis 247 (2024).
date_created: 2024-12-18T07:13:19Z
date_updated: 2026-01-05T08:02:36Z
department:
- _id: '90'
doi: 10.1016/j.na.2024.113600
intvolume: ' 247'
language:
- iso: eng
project:
- _id: '245'
name: 'FOR 5208: Modellbasierte Bestimmung nichtlinearer Eigenschaften von Piezokeramiken
für Leistungsschallanwendungen (NEPTUN)'
publication: Nonlinear Analysis
publication_identifier:
issn:
- 0362-546X
publication_status: published
publisher: Elsevier BV
status: public
title: L∞ blow-up in the Jordan-Moore-Gibson-Thompson equation
type: journal_article
user_id: '11829'
volume: 247
year: '2024'
...
---
_id: '57031'
author:
- first_name: Tobias
full_name: Gburrek, Tobias
id: '44006'
last_name: Gburrek
- first_name: Adrian Tobias
full_name: Meise, Adrian Tobias
id: '79268'
last_name: Meise
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Gburrek T, Meise AT, Schmalenstroeer J, Haeb-Umbach R. Diminishing Domain
Mismatch for DNN-Based Acoustic Distance Estimation via Stochastic Room Reverberation
Models. In: 2024 18th International Workshop on Acoustic Signal Enhancement
(IWAENC). IEEE; 2024. doi:10.1109/iwaenc61483.2024.10694103'
apa: Gburrek, T., Meise, A. T., Schmalenstroeer, J., & Haeb-Umbach, R. (2024).
Diminishing Domain Mismatch for DNN-Based Acoustic Distance Estimation via Stochastic
Room Reverberation Models. 2024 18th International Workshop on Acoustic Signal
Enhancement (IWAENC). https://doi.org/10.1109/iwaenc61483.2024.10694103
bibtex: '@inproceedings{Gburrek_Meise_Schmalenstroeer_Haeb-Umbach_2024, title={Diminishing
Domain Mismatch for DNN-Based Acoustic Distance Estimation via Stochastic Room
Reverberation Models}, DOI={10.1109/iwaenc61483.2024.10694103},
booktitle={2024 18th International Workshop on Acoustic Signal Enhancement (IWAENC)},
publisher={IEEE}, author={Gburrek, Tobias and Meise, Adrian Tobias and Schmalenstroeer,
Joerg and Haeb-Umbach, Reinhold}, year={2024} }'
chicago: Gburrek, Tobias, Adrian Tobias Meise, Joerg Schmalenstroeer, and Reinhold
Haeb-Umbach. “Diminishing Domain Mismatch for DNN-Based Acoustic Distance Estimation
via Stochastic Room Reverberation Models.” In 2024 18th International Workshop
on Acoustic Signal Enhancement (IWAENC). IEEE, 2024. https://doi.org/10.1109/iwaenc61483.2024.10694103.
ieee: 'T. Gburrek, A. T. Meise, J. Schmalenstroeer, and R. Haeb-Umbach, “Diminishing
Domain Mismatch for DNN-Based Acoustic Distance Estimation via Stochastic Room
Reverberation Models,” 2024, doi: 10.1109/iwaenc61483.2024.10694103.'
mla: Gburrek, Tobias, et al. “Diminishing Domain Mismatch for DNN-Based Acoustic
Distance Estimation via Stochastic Room Reverberation Models.” 2024 18th International
Workshop on Acoustic Signal Enhancement (IWAENC), IEEE, 2024, doi:10.1109/iwaenc61483.2024.10694103.
short: 'T. Gburrek, A.T. Meise, J. Schmalenstroeer, R. Haeb-Umbach, in: 2024 18th
International Workshop on Acoustic Signal Enhancement (IWAENC), IEEE, 2024.'
date_created: 2024-11-13T08:39:57Z
date_updated: 2026-01-05T16:28:23Z
ddc:
- '006'
department:
- _id: '54'
doi: 10.1109/iwaenc61483.2024.10694103
file:
- access_level: open_access
content_type: application/pdf
creator: tgburrek
date_created: 2024-11-13T08:42:13Z
date_updated: 2024-11-13T08:42:13Z
file_id: '57033'
file_name: dist_est_iwaenc24_gburrek.pdf
file_size: 300589
relation: main_file
file_date_updated: 2024-11-13T08:42:13Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
publication: 2024 18th International Workshop on Acoustic Signal Enhancement (IWAENC)
publication_status: published
publisher: IEEE
quality_controlled: '1'
status: public
title: Diminishing Domain Mismatch for DNN-Based Acoustic Distance Estimation via
Stochastic Room Reverberation Models
type: conference
user_id: '44006'
year: '2024'
...
---
_id: '53146'
author:
- first_name: Thomas
full_name: Berger, Thomas
id: '77457'
last_name: Berger
- first_name: Dario
full_name: Dennstädt, Dario
id: '98033'
last_name: Dennstädt
- first_name: 'L. '
full_name: 'Lanza, L. '
last_name: Lanza
- first_name: 'K. '
full_name: 'Worthmann, K. '
last_name: Worthmann
citation:
ama: Berger T, Dennstädt D, Lanza L, Worthmann K. Robust Funnel Model Predictive
Control for Output Tracking with Prescribed Performance. SIAM Journal on Control
and Optimization. Published online 2024.
apa: Berger, T., Dennstädt, D., Lanza, L., & Worthmann, K. (2024). Robust Funnel
Model Predictive Control for Output Tracking with Prescribed Performance. SIAM
Journal on Control and Optimization.
bibtex: '@article{Berger_Dennstädt_Lanza_Worthmann_2024, title={Robust Funnel Model
Predictive Control for Output Tracking with Prescribed Performance}, journal={SIAM
Journal on Control and Optimization}, author={Berger, Thomas and Dennstädt, Dario
and Lanza, L. and Worthmann, K. }, year={2024} }'
chicago: Berger, Thomas, Dario Dennstädt, L. Lanza, and K. Worthmann. “Robust
Funnel Model Predictive Control for Output Tracking with Prescribed Performance.”
SIAM Journal on Control and Optimization, 2024.
ieee: T. Berger, D. Dennstädt, L. Lanza, and K. Worthmann, “Robust Funnel Model
Predictive Control for Output Tracking with Prescribed Performance,” SIAM Journal
on Control and Optimization, 2024.
mla: Berger, Thomas, et al. “Robust Funnel Model Predictive Control for Output Tracking
with Prescribed Performance.” SIAM Journal on Control and Optimization,
2024.
short: T. Berger, D. Dennstädt, L. Lanza, K. Worthmann, SIAM Journal on Control
and Optimization (2024).
date_created: 2024-04-03T10:08:01Z
date_updated: 2026-01-05T20:52:17Z
department:
- _id: '618'
language:
- iso: eng
publication: SIAM Journal on Control and Optimization
status: public
title: Robust Funnel Model Predictive Control for Output Tracking with Prescribed
Performance
type: journal_article
user_id: '77457'
year: '2024'
...
---
_id: '63497'
author:
- first_name: Nikolas
full_name: Förster, Nikolas
last_name: Förster
- first_name: Oliver
full_name: Wallscheid, Oliver
last_name: Wallscheid
- first_name: Frank
full_name: Schafmeister, Frank
last_name: Schafmeister
citation:
ama: 'Förster N, Wallscheid O, Schafmeister F. Dual-Active Bridge Sequential Pareto
Optimization for Fast Pre-Design and Final Component Selection. In: 2024 IEEE
Design Methodologies Conference (DMC). ; 2024:1-8. doi:10.1109/DMC62632.2024.10812131'
apa: Förster, N., Wallscheid, O., & Schafmeister, F. (2024). Dual-Active Bridge
Sequential Pareto Optimization for Fast Pre-Design and Final Component Selection.
2024 IEEE Design Methodologies Conference (DMC), 1–8. https://doi.org/10.1109/DMC62632.2024.10812131
bibtex: '@inproceedings{Förster_Wallscheid_Schafmeister_2024, title={Dual-Active
Bridge Sequential Pareto Optimization for Fast Pre-Design and Final Component
Selection}, DOI={10.1109/DMC62632.2024.10812131},
booktitle={2024 IEEE Design Methodologies Conference (DMC)}, author={Förster,
Nikolas and Wallscheid, Oliver and Schafmeister, Frank}, year={2024}, pages={1–8}
}'
chicago: Förster, Nikolas, Oliver Wallscheid, and Frank Schafmeister. “Dual-Active
Bridge Sequential Pareto Optimization for Fast Pre-Design and Final Component
Selection.” In 2024 IEEE Design Methodologies Conference (DMC), 1–8, 2024.
https://doi.org/10.1109/DMC62632.2024.10812131.
ieee: 'N. Förster, O. Wallscheid, and F. Schafmeister, “Dual-Active Bridge Sequential
Pareto Optimization for Fast Pre-Design and Final Component Selection,” in 2024
IEEE Design Methodologies Conference (DMC), 2024, pp. 1–8, doi: 10.1109/DMC62632.2024.10812131.'
mla: Förster, Nikolas, et al. “Dual-Active Bridge Sequential Pareto Optimization
for Fast Pre-Design and Final Component Selection.” 2024 IEEE Design Methodologies
Conference (DMC), 2024, pp. 1–8, doi:10.1109/DMC62632.2024.10812131.
short: 'N. Förster, O. Wallscheid, F. Schafmeister, in: 2024 IEEE Design Methodologies
Conference (DMC), 2024, pp. 1–8.'
date_created: 2026-01-06T08:06:24Z
date_updated: 2026-01-06T08:07:50Z
department:
- _id: '52'
doi: 10.1109/DMC62632.2024.10812131
keyword:
- MOSFET
- Thermal resistance
- Surface resistance
- Bridge circuits
- Zero voltage switching
- Pareto optimization
- Capacitance
- Numerical simulation
- Optimization
- Resistance heating
- Pareto Optimization
- Dual-Active Bridge
- ZVS
- Inductor Optimization
- Transformer Optimization
- Heat Sink Optimization
language:
- iso: eng
page: 1-8
publication: 2024 IEEE Design Methodologies Conference (DMC)
status: public
title: Dual-Active Bridge Sequential Pareto Optimization for Fast Pre-Design and Final
Component Selection
type: conference
user_id: '83383'
year: '2024'
...
---
_id: '57094'
author:
- first_name: Stephan
full_name: Kruse, Stephan
id: '38254'
last_name: Kruse
- first_name: J. Christoph
full_name: Scheytt, J. Christoph
id: '37144'
last_name: Scheytt
orcid: '0000-0002-5950-6618 '
citation:
ama: Kruse S, Scheytt JC. Elektrooptische PLL. Published online 2024.
apa: Kruse, S., & Scheytt, J. C. (2024). Elektrooptische PLL.
bibtex: '@article{Kruse_Scheytt_2024, title={Elektrooptische PLL}, author={Kruse,
Stephan and Scheytt, J. Christoph}, year={2024} }'
chicago: Kruse, Stephan, and J. Christoph Scheytt. “Elektrooptische PLL,” 2024.
ieee: S. Kruse and J. C. Scheytt, “Elektrooptische PLL.” 2024.
mla: Kruse, Stephan, and J. Christoph Scheytt. Elektrooptische PLL. 2024.
short: S. Kruse, J.C. Scheytt, (2024).
date_created: 2024-11-14T16:19:30Z
date_updated: 2024-11-15T13:54:30Z
department:
- _id: '58'
ipc: H03L 7/00
ipn: "\t10 2023 203 698.3"
publication_date: 2024-10-24
status: public
title: Elektrooptische PLL
type: patent
user_id: '38254'
year: '2024'
...
---
_id: '57161'
author:
- first_name: Alexander
full_name: Werning, Alexander
id: '62152'
last_name: Werning
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Werning A, Haeb-Umbach R. UPB-NT Submission to DCASE24: Dataset Pruning
for Targeted Knowledge Distillation.; 2024.'
apa: 'Werning, A., & Haeb-Umbach, R. (2024). UPB-NT submission to DCASE24:
Dataset pruning for targeted knowledge distillation.'
bibtex: '@book{Werning_Haeb-Umbach_2024, title={UPB-NT submission to DCASE24: Dataset
pruning for targeted knowledge distillation}, author={Werning, Alexander and Haeb-Umbach,
Reinhold}, year={2024} }'
chicago: 'Werning, Alexander, and Reinhold Haeb-Umbach. UPB-NT Submission to
DCASE24: Dataset Pruning for Targeted Knowledge Distillation, 2024.'
ieee: 'A. Werning and R. Haeb-Umbach, UPB-NT submission to DCASE24: Dataset pruning
for targeted knowledge distillation. 2024.'
mla: 'Werning, Alexander, and Reinhold Haeb-Umbach. UPB-NT Submission to DCASE24:
Dataset Pruning for Targeted Knowledge Distillation. 2024.'
short: 'A. Werning, R. Haeb-Umbach, UPB-NT Submission to DCASE24: Dataset Pruning
for Targeted Knowledge Distillation, 2024.'
date_created: 2024-11-18T09:44:46Z
date_updated: 2024-11-18T09:45:14Z
department:
- _id: '54'
language:
- iso: eng
project:
- _id: '512'
name: WestAI - AI Service Center West
status: public
title: 'UPB-NT submission to DCASE24: Dataset pruning for targeted knowledge distillation'
type: report
user_id: '62152'
year: '2024'
...
---
_id: '56137'
abstract:
- lang: eng
text: "Many Android applications collect data from users. The European Union's General
Data Protection Regulation (GDPR) requires vendors to faithfully disclose which
data their apps collect. This task is complicated because many apps use third-party
code for which the same information is not readily available. Hence we ask: how
accurately do current Android apps fulfill these requirements?\r\nIn this work,
we first expose a multi-layered definition of privacy-related data to correctly
report data collection in Android apps. We further create a dataset of privacy-sensitive
data classes that may be used as input by an Android app. This dataset takes into
account data collected both through the user interface and system APIs.\r\nWe
manually examine the data safety sections of 70 Android apps to observe how data
collection is reported, identifying instances of over- and under-reporting. Additionally,
we develop a prototype to statically extract and label privacy-related data collected
via app source code, user interfaces, and permissions. Comparing the prototype's
results with the data safety sections of 20 apps reveals reporting discrepancies.
Using the results from two Messaging and Social Media apps (Signal and Instagram),
we discuss how app developers under-report and over-report data collection, respectively,
and identify inaccurately reported data categories.\r\nOur results show that app
developers struggle to accurately report data collection, either due to Google's
abstract definition of collected data or insufficient existing tool support. "
author:
- first_name: Mugdha
full_name: Khedkar, Mugdha
id: '88024'
last_name: Khedkar
- first_name: Ambuj Kumar
full_name: Mondal, Ambuj Kumar
last_name: Mondal
- first_name: Eric
full_name: Bodden, Eric
id: '59256'
last_name: Bodden
orcid: 0000-0003-3470-3647
citation:
ama: 'Khedkar M, Mondal AK, Bodden E. Do Android App Developers Accurately Report
Collection of Privacy-Related Data? In: In Proceedings of the 39th IEEE/ACM
International Conference on Automated Software Engineering Workshops (ASEW ’24).
; 2024. doi:10.1145/3691621.3694949'
apa: Khedkar, M., Mondal, A. K., & Bodden, E. (2024). Do Android App Developers
Accurately Report Collection of Privacy-Related Data? In Proceedings of the
39th IEEE/ACM International Conference on Automated Software Engineering Workshops
(ASEW ’24). 39th IEEE/ACM International Conference on Automated Software Engineering
(ASE 2024), Sacramento, California. https://doi.org/10.1145/3691621.3694949
bibtex: '@inproceedings{Khedkar_Mondal_Bodden_2024, title={Do Android App Developers
Accurately Report Collection of Privacy-Related Data?}, DOI={10.1145/3691621.3694949},
booktitle={In Proceedings of the 39th IEEE/ACM International Conference on Automated
Software Engineering Workshops (ASEW ’24)}, author={Khedkar, Mugdha and Mondal,
Ambuj Kumar and Bodden, Eric}, year={2024} }'
chicago: Khedkar, Mugdha, Ambuj Kumar Mondal, and Eric Bodden. “Do Android App Developers
Accurately Report Collection of Privacy-Related Data?” In In Proceedings of
the 39th IEEE/ACM International Conference on Automated Software Engineering Workshops
(ASEW ’24), 2024. https://doi.org/10.1145/3691621.3694949.
ieee: 'M. Khedkar, A. K. Mondal, and E. Bodden, “Do Android App Developers Accurately
Report Collection of Privacy-Related Data?,” presented at the 39th IEEE/ACM International
Conference on Automated Software Engineering (ASE 2024), Sacramento, California,
2024, doi: 10.1145/3691621.3694949.'
mla: Khedkar, Mugdha, et al. “Do Android App Developers Accurately Report Collection
of Privacy-Related Data?” In Proceedings of the 39th IEEE/ACM International
Conference on Automated Software Engineering Workshops (ASEW ’24), 2024, doi:10.1145/3691621.3694949.
short: 'M. Khedkar, A.K. Mondal, E. Bodden, in: In Proceedings of the 39th IEEE/ACM
International Conference on Automated Software Engineering Workshops (ASEW ’24),
2024.'
conference:
end_date: 2024-11-01
location: Sacramento, California
name: 39th IEEE/ACM International Conference on Automated Software Engineering (ASE
2024)
start_date: 2024-10-27
date_created: 2024-09-16T08:50:54Z
date_updated: 2024-11-18T13:19:51Z
ddc:
- '000'
department:
- _id: '76'
doi: 10.1145/3691621.3694949
external_id:
arxiv:
- '2409.04167'
file:
- access_level: closed
content_type: application/pdf
creator: khedkarm
date_created: 2024-09-16T08:49:42Z
date_updated: 2024-09-16T08:49:42Z
file_id: '56138'
file_name: 2409.04167v1.pdf
file_size: 1270058
relation: main_file
success: 1
file_date_updated: 2024-09-16T08:49:42Z
has_accepted_license: '1'
language:
- iso: eng
publication: In Proceedings of the 39th IEEE/ACM International Conference on Automated
Software Engineering Workshops (ASEW ’24)
status: public
title: Do Android App Developers Accurately Report Collection of Privacy-Related Data?
type: conference
user_id: '88024'
year: '2024'
...
---
_id: '53622'
abstract:
- lang: eng
text: In K-12 computing education, there is a need to identify and teach
concepts that are relevant to understanding machine learning technologies. Studies
of teaching approaches often evaluate whether students have learned the concepts.
However, scant research has examined whether such concepts support understanding
digital artefacts from everyday life and developing agency in a digital world.
This paper presents a qualitative study that explores students’ perspectives on
the relevance of learning concepts of data-driven technologies for navigating
the digital world. The underlying approach of the study is data awareness, which
aims to support students in understanding and reflecting on such technologies
to develop agency in a data-driven world. This approach teaches students an explanatory
model encompassing several concepts of the role of data in data-driven technologies.
We developed an intervention and conducted retrospective interviews with students.
Findings from the analysis of the interviews indicate that students can analyse
and understand data-driven technologies from their everyday lives according to
the central role of data. In addition, students’ answers revealed four areas of
how learning about data-driven technologies becomes relevant to them. The paper
concludes with a preliminary model suggesting how computing education can make
concepts of data-driven technologies meaningful for students to understand and
navigate the digital world.
author:
- first_name: Lukas
full_name: Höper, Lukas
id: '58041'
last_name: Höper
- first_name: Carsten
full_name: Schulte, Carsten
id: '60311'
last_name: Schulte
citation:
ama: 'Höper L, Schulte C. Empowering Students for the Data-Driven World: A Qualitative
Study of the Relevance of Learning about Data-Driven Technologies. Informatics
in Education. Published online 2024. doi:10.15388/infedu.2024.19'
apa: 'Höper, L., & Schulte, C. (2024). Empowering Students for the Data-Driven
World: A Qualitative Study of the Relevance of Learning about Data-Driven Technologies.
Informatics in Education. https://doi.org/10.15388/infedu.2024.19'
bibtex: '@article{Höper_Schulte_2024, title={Empowering Students for the Data-Driven
World: A Qualitative Study of the Relevance of Learning about Data-Driven Technologies},
DOI={10.15388/infedu.2024.19},
journal={Informatics in Education}, publisher={Vilnius University Press}, author={Höper,
Lukas and Schulte, Carsten}, year={2024} }'
chicago: 'Höper, Lukas, and Carsten Schulte. “Empowering Students for the Data-Driven
World: A Qualitative Study of the Relevance of Learning about Data-Driven Technologies.”
Informatics in Education, 2024. https://doi.org/10.15388/infedu.2024.19.'
ieee: 'L. Höper and C. Schulte, “Empowering Students for the Data-Driven World:
A Qualitative Study of the Relevance of Learning about Data-Driven Technologies,”
Informatics in Education, 2024, doi: 10.15388/infedu.2024.19.'
mla: 'Höper, Lukas, and Carsten Schulte. “Empowering Students for the Data-Driven
World: A Qualitative Study of the Relevance of Learning about Data-Driven Technologies.”
Informatics in Education, Vilnius University Press, 2024, doi:10.15388/infedu.2024.19.'
short: L. Höper, C. Schulte, Informatics in Education (2024).
date_created: 2024-04-23T09:26:08Z
date_updated: 2024-11-19T07:24:30Z
ddc:
- '000'
- '370'
department:
- _id: '67'
doi: 10.15388/infedu.2024.19
file:
- access_level: closed
content_type: application/pdf
creator: hoeper
date_created: 2024-11-19T07:24:14Z
date_updated: 2024-11-19T07:24:14Z
file_id: '57214'
file_name: infedu.2024.19.pdf
file_size: 2343612
relation: main_file
success: 1
file_date_updated: 2024-11-19T07:24:14Z
has_accepted_license: '1'
keyword:
- Computer Science Applications
- Communication
- Education
- General Engineering
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://infedu.vu.lt/journal/INFEDU/article/784/info
oa: '1'
publication: Informatics in Education
publication_identifier:
issn:
- 1648-5831
- 2335-8971
publication_status: published
publisher: Vilnius University Press
quality_controlled: '1'
status: public
title: 'Empowering Students for the Data-Driven World: A Qualitative Study of the
Relevance of Learning about Data-Driven Technologies'
type: journal_article
user_id: '58041'
year: '2024'
...
---
_id: '57209'
author:
- first_name: Lukas
full_name: Höper, Lukas
id: '58041'
last_name: Höper
- first_name: Carsten
full_name: Schulte, Carsten
id: '60311'
last_name: Schulte
citation:
ama: 'Höper L, Schulte C. New Perspectives on the Future of Computing Education:
Teaching and Learning Explanatory Models. In: Proceedings of the 24th Koli
Calling International Conference on Computing Education Research. ACM; 2024.
doi:10.1145/3699538.3699558'
apa: 'Höper, L., & Schulte, C. (2024). New Perspectives on the Future of Computing
Education: Teaching and Learning Explanatory Models. Proceedings of the 24th
Koli Calling International Conference on Computing Education Research. Koli
Calling ’24, Koli, Finnland. https://doi.org/10.1145/3699538.3699558'
bibtex: '@inproceedings{Höper_Schulte_2024, title={New Perspectives on the Future
of Computing Education: Teaching and Learning Explanatory Models}, DOI={10.1145/3699538.3699558},
booktitle={Proceedings of the 24th Koli Calling International Conference on Computing
Education Research}, publisher={ACM}, author={Höper, Lukas and Schulte, Carsten},
year={2024} }'
chicago: 'Höper, Lukas, and Carsten Schulte. “New Perspectives on the Future of
Computing Education: Teaching and Learning Explanatory Models.” In Proceedings
of the 24th Koli Calling International Conference on Computing Education Research.
ACM, 2024. https://doi.org/10.1145/3699538.3699558.'
ieee: 'L. Höper and C. Schulte, “New Perspectives on the Future of Computing Education:
Teaching and Learning Explanatory Models,” presented at the Koli Calling ’24,
Koli, Finnland, 2024, doi: 10.1145/3699538.3699558.'
mla: 'Höper, Lukas, and Carsten Schulte. “New Perspectives on the Future of Computing
Education: Teaching and Learning Explanatory Models.” Proceedings of the 24th
Koli Calling International Conference on Computing Education Research, ACM,
2024, doi:10.1145/3699538.3699558.'
short: 'L. Höper, C. Schulte, in: Proceedings of the 24th Koli Calling International
Conference on Computing Education Research, ACM, 2024.'
conference:
end_date: 2024-11-17
location: Koli, Finnland
name: Koli Calling '24
start_date: 2024-11-14
date_created: 2024-11-19T07:17:21Z
date_updated: 2024-11-19T07:21:47Z
ddc:
- '370'
- '000'
department:
- _id: '67'
doi: 10.1145/3699538.3699558
file:
- access_level: closed
content_type: application/pdf
creator: hoeper
date_created: 2024-11-19T07:19:05Z
date_updated: 2024-11-19T07:19:05Z
file_id: '57211'
file_name: 3699538.3699558.pdf
file_size: 699441
relation: main_file
success: 1
file_date_updated: 2024-11-19T07:19:05Z
has_accepted_license: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://dl.acm.org/doi/full/10.1145/3699538.3699558
oa: '1'
publication: Proceedings of the 24th Koli Calling International Conference on Computing
Education Research
publication_status: published
publisher: ACM
quality_controlled: '1'
status: public
title: 'New Perspectives on the Future of Computing Education: Teaching and Learning
Explanatory Models'
type: conference
user_id: '58041'
year: '2024'
...
---
_id: '55481'
author:
- first_name: Lukas
full_name: Höper, Lukas
id: '58041'
last_name: Höper
- first_name: Carsten
full_name: Schulte, Carsten
id: '60311'
last_name: Schulte
- first_name: Andreas
full_name: Mühling, Andreas
last_name: Mühling
citation:
ama: 'Höper L, Schulte C, Mühling A. Students’ Motivation and Intention to Engage
with Data-Driven Technologies from a CS Perspective in Everyday Life. In: Proceedings
of the 2024 on Innovation and Technology in Computer Science Education V. 1.
ACM; 2024. doi:10.1145/3649217.3653625'
apa: Höper, L., Schulte, C., & Mühling, A. (2024). Students’ Motivation and
Intention to Engage with Data-Driven Technologies from a CS Perspective in Everyday
Life. Proceedings of the 2024 on Innovation and Technology in Computer Science
Education V. 1. ITiCSE 2024, Mailand, Italien. https://doi.org/10.1145/3649217.3653625
bibtex: '@inproceedings{Höper_Schulte_Mühling_2024, title={Students’ Motivation
and Intention to Engage with Data-Driven Technologies from a CS Perspective in
Everyday Life}, DOI={10.1145/3649217.3653625},
booktitle={Proceedings of the 2024 on Innovation and Technology in Computer Science
Education V. 1}, publisher={ACM}, author={Höper, Lukas and Schulte, Carsten and
Mühling, Andreas}, year={2024} }'
chicago: Höper, Lukas, Carsten Schulte, and Andreas Mühling. “Students’ Motivation
and Intention to Engage with Data-Driven Technologies from a CS Perspective in
Everyday Life.” In Proceedings of the 2024 on Innovation and Technology in
Computer Science Education V. 1. ACM, 2024. https://doi.org/10.1145/3649217.3653625.
ieee: 'L. Höper, C. Schulte, and A. Mühling, “Students’ Motivation and Intention
to Engage with Data-Driven Technologies from a CS Perspective in Everyday Life,”
presented at the ITiCSE 2024, Mailand, Italien, 2024, doi: 10.1145/3649217.3653625.'
mla: Höper, Lukas, et al. “Students’ Motivation and Intention to Engage with Data-Driven
Technologies from a CS Perspective in Everyday Life.” Proceedings of the 2024
on Innovation and Technology in Computer Science Education V. 1, ACM, 2024,
doi:10.1145/3649217.3653625.
short: 'L. Höper, C. Schulte, A. Mühling, in: Proceedings of the 2024 on Innovation
and Technology in Computer Science Education V. 1, ACM, 2024.'
conference:
location: Mailand, Italien
name: ITiCSE 2024
date_created: 2024-08-02T08:58:10Z
date_updated: 2024-11-19T07:23:20Z
ddc:
- '000'
- '370'
department:
- _id: '67'
doi: 10.1145/3649217.3653625
file:
- access_level: closed
content_type: application/pdf
creator: hoeper
date_created: 2024-11-19T07:22:56Z
date_updated: 2024-11-19T07:22:56Z
file_id: '57213'
file_name: 3649217.3653625.pdf
file_size: 1092727
relation: main_file
success: 1
file_date_updated: 2024-11-19T07:22:56Z
has_accepted_license: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://dl.acm.org/doi/10.1145/3649217.3653625
oa: '1'
publication: Proceedings of the 2024 on Innovation and Technology in Computer Science
Education V. 1
publication_status: published
publisher: ACM
quality_controlled: '1'
status: public
title: Students' Motivation and Intention to Engage with Data-Driven Technologies
from a CS Perspective in Everyday Life
type: conference
user_id: '58041'
year: '2024'
...
---
_id: '55656'
author:
- first_name: Lukas
full_name: Höper, Lukas
id: '58041'
last_name: Höper
- first_name: Carsten
full_name: Schulte, Carsten
id: '60311'
last_name: Schulte
- first_name: Andreas
full_name: Mühling, Andreas
last_name: Mühling
citation:
ama: 'Höper L, Schulte C, Mühling A. Learning an Explanatory Model of Data-Driven
Technologies can Lead to Empowered Behavior: A Mixed-Methods Study in K-12 Computing
Education. In: Proceedings of the 2024 ACM Conference on International Computing
Education Research - Volume 1. Vol 10. ACM; 2024. doi:10.1145/3632620.3671118'
apa: 'Höper, L., Schulte, C., & Mühling, A. (2024). Learning an Explanatory
Model of Data-Driven Technologies can Lead to Empowered Behavior: A Mixed-Methods
Study in K-12 Computing Education. Proceedings of the 2024 ACM Conference on
International Computing Education Research - Volume 1, 10. https://doi.org/10.1145/3632620.3671118'
bibtex: '@inproceedings{Höper_Schulte_Mühling_2024, title={Learning an Explanatory
Model of Data-Driven Technologies can Lead to Empowered Behavior: A Mixed-Methods
Study in K-12 Computing Education}, volume={10}, DOI={10.1145/3632620.3671118},
booktitle={Proceedings of the 2024 ACM Conference on International Computing Education
Research - Volume 1}, publisher={ACM}, author={Höper, Lukas and Schulte, Carsten
and Mühling, Andreas}, year={2024} }'
chicago: 'Höper, Lukas, Carsten Schulte, and Andreas Mühling. “Learning an Explanatory
Model of Data-Driven Technologies Can Lead to Empowered Behavior: A Mixed-Methods
Study in K-12 Computing Education.” In Proceedings of the 2024 ACM Conference
on International Computing Education Research - Volume 1, Vol. 10. ACM, 2024.
https://doi.org/10.1145/3632620.3671118.'
ieee: 'L. Höper, C. Schulte, and A. Mühling, “Learning an Explanatory Model of Data-Driven
Technologies can Lead to Empowered Behavior: A Mixed-Methods Study in K-12 Computing
Education,” in Proceedings of the 2024 ACM Conference on International Computing
Education Research - Volume 1, 2024, vol. 10, doi: 10.1145/3632620.3671118.'
mla: 'Höper, Lukas, et al. “Learning an Explanatory Model of Data-Driven Technologies
Can Lead to Empowered Behavior: A Mixed-Methods Study in K-12 Computing Education.”
Proceedings of the 2024 ACM Conference on International Computing Education
Research - Volume 1, vol. 10, ACM, 2024, doi:10.1145/3632620.3671118.'
short: 'L. Höper, C. Schulte, A. Mühling, in: Proceedings of the 2024 ACM Conference
on International Computing Education Research - Volume 1, ACM, 2024.'
date_created: 2024-08-20T06:56:39Z
date_updated: 2024-11-19T07:27:15Z
ddc:
- '000'
- '370'
department:
- _id: '67'
doi: 10.1145/3632620.3671118
file:
- access_level: closed
content_type: application/pdf
creator: hoeper
date_created: 2024-11-19T07:27:02Z
date_updated: 2024-11-19T07:27:02Z
file_id: '57216'
file_name: 3632620.3671118.pdf
file_size: 1954057
relation: main_file
success: 1
file_date_updated: 2024-11-19T07:27:02Z
has_accepted_license: '1'
intvolume: ' 10'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://dl.acm.org/doi/10.1145/3632620.3671118
oa: '1'
publication: Proceedings of the 2024 ACM Conference on International Computing Education
Research - Volume 1
publication_status: published
publisher: ACM
quality_controlled: '1'
status: public
title: 'Learning an Explanatory Model of Data-Driven Technologies can Lead to Empowered
Behavior: A Mixed-Methods Study in K-12 Computing Education'
type: conference
user_id: '58041'
volume: 10
year: '2024'
...