---
_id: '58763'
abstract:
- lang: eng
text: Utilizing data is crucial for economic success, but a lack of interoperability
and concerns about the misuse of ones own data are hindering the cross-organizational
use of data. Dataspaces provide the infrastructure necessary to integrate heterogeneous
data sources within an organization or ecosystem, enabling seamless data interaction
and interoperability. In addition, data spaces strengthen data sovereignty through
their decentralized nature, which enables organizations to effectively control
and manage their data. However, challenges persist in managing the complexity
and dynamic nature of dataspaces, requiring significant resources and technical
expertise. The decentralized nature leads to a large and diverse number of stakeholders,
who need to agree on the use and scope of a dataspace. Modeling is a common approach
to cope with technical complexity and heterogeneous stakeholders. In this paper,
we propose a version of SysML and a corresponding method that focus on the modelling
of data spaces. We provide a dataspace modelling method to unify the understanding
of dataspaces and scope among all stakeholders to simplify the design and development
process.
author:
- first_name: Pranav Jayant
full_name: Kulkarni, Pranav Jayant
id: '86782'
last_name: Kulkarni
- first_name: Julian
full_name: Zerbin, Julian
id: '51711'
last_name: Zerbin
- first_name: Christian
full_name: Koldewey, Christian
id: '43136'
last_name: Koldewey
orcid: https://orcid.org/0000-0001-7992-6399
- first_name: Ruslan
full_name: Bernijazov, Ruslan
id: '36312'
last_name: Bernijazov
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
citation:
ama: 'Kulkarni PJ, Zerbin J, Koldewey C, Bernijazov R, Dumitrescu R. Using SysML
as a Modelling Language for Dataspaces. In: 2024 IEEE International Conference
on Technology Management, Operations and Decisions (ICTMOD). IEEE; 2025. doi:10.1109/ictmod63116.2024.10878227'
apa: Kulkarni, P. J., Zerbin, J., Koldewey, C., Bernijazov, R., & Dumitrescu,
R. (2025). Using SysML as a Modelling Language for Dataspaces. 2024 IEEE International
Conference on Technology Management, Operations and Decisions (ICTMOD). 2024
IEEE International Conference on Technology Management, Operations and Decisions
(ICTMOD), Sharjah, United Arab Emirates . https://doi.org/10.1109/ictmod63116.2024.10878227
bibtex: '@inproceedings{Kulkarni_Zerbin_Koldewey_Bernijazov_Dumitrescu_2025, title={Using
SysML as a Modelling Language for Dataspaces}, DOI={10.1109/ictmod63116.2024.10878227},
booktitle={2024 IEEE International Conference on Technology Management, Operations
and Decisions (ICTMOD)}, publisher={IEEE}, author={Kulkarni, Pranav Jayant and
Zerbin, Julian and Koldewey, Christian and Bernijazov, Ruslan and Dumitrescu,
Roman}, year={2025} }'
chicago: Kulkarni, Pranav Jayant, Julian Zerbin, Christian Koldewey, Ruslan Bernijazov,
and Roman Dumitrescu. “Using SysML as a Modelling Language for Dataspaces.” In
2024 IEEE International Conference on Technology Management, Operations and
Decisions (ICTMOD). IEEE, 2025. https://doi.org/10.1109/ictmod63116.2024.10878227.
ieee: 'P. J. Kulkarni, J. Zerbin, C. Koldewey, R. Bernijazov, and R. Dumitrescu,
“Using SysML as a Modelling Language for Dataspaces,” presented at the 2024 IEEE
International Conference on Technology Management, Operations and Decisions (ICTMOD),
Sharjah, United Arab Emirates , 2025, doi: 10.1109/ictmod63116.2024.10878227.'
mla: Kulkarni, Pranav Jayant, et al. “Using SysML as a Modelling Language for Dataspaces.”
2024 IEEE International Conference on Technology Management, Operations and
Decisions (ICTMOD), IEEE, 2025, doi:10.1109/ictmod63116.2024.10878227.
short: 'P.J. Kulkarni, J. Zerbin, C. Koldewey, R. Bernijazov, R. Dumitrescu, in:
2024 IEEE International Conference on Technology Management, Operations and Decisions
(ICTMOD), IEEE, 2025.'
conference:
end_date: 2024-11-06
location: 'Sharjah, United Arab Emirates '
name: 2024 IEEE International Conference on Technology Management, Operations and
Decisions (ICTMOD)
start_date: 2024-11-04
date_created: 2025-02-21T15:25:13Z
date_updated: 2026-01-30T09:05:24Z
department:
- _id: '563'
doi: 10.1109/ictmod63116.2024.10878227
keyword:
- Dataspaces
- Modelling
- SysML
- Gaia-X
- System Specification
language:
- iso: eng
publication: 2024 IEEE International Conference on Technology Management, Operations
and Decisions (ICTMOD)
publication_status: published
publisher: IEEE
quality_controlled: '1'
status: public
title: Using SysML as a Modelling Language for Dataspaces
type: conference
user_id: '51711'
year: '2025'
...
---
_id: '62937'
abstract:
- lang: eng
text: Sandwich packings are assembled from two conventional structured packings
with different geometrical surface areas stacked alternatingly within a separation
column. When operated under partially flooded conditions, they provide significant
mass transfer improvement compared to common structured packings. In this work,
a rate-based model including novel mass transfer correlations is presented and
validated using a comprehensive experimental database for the reactive absorption
of CO2 into aqueous monoethanolamine. The proposed rate-based approach is capable
of accounting for axial dispersion, thereby enabling the evaluation of the effect
of liquid-phase backmixing on the mass transfer performance. The validated rate-based
model is used to evaluate the separation performance of sandwich packings. Compared
with structured packings, up to 10 % higher mass transfer rates are obtained.
article_number: '122681'
article_type: original
author:
- first_name: Patrick
full_name: Franke, Patrick
id: '93922'
last_name: Franke
- first_name: Markus
full_name: Schubert, Markus
last_name: Schubert
- first_name: Uwe
full_name: Hampel, Uwe
last_name: Hampel
- first_name: Eugeny Y.
full_name: Kenig, Eugeny Y.
id: '665'
last_name: Kenig
citation:
ama: Franke P, Schubert M, Hampel U, Kenig EY. A rate-based model for reactive separation
columns with sandwich packings. Chemical Engineering Science. 2025;321.
doi:10.1016/j.ces.2025.122681
apa: Franke, P., Schubert, M., Hampel, U., & Kenig, E. Y. (2025). A rate-based
model for reactive separation columns with sandwich packings. Chemical Engineering
Science, 321, Article 122681. https://doi.org/10.1016/j.ces.2025.122681
bibtex: '@article{Franke_Schubert_Hampel_Kenig_2025, title={A rate-based model for
reactive separation columns with sandwich packings}, volume={321}, DOI={10.1016/j.ces.2025.122681},
number={122681}, journal={Chemical Engineering Science}, publisher={Elsevier BV},
author={Franke, Patrick and Schubert, Markus and Hampel, Uwe and Kenig, Eugeny
Y.}, year={2025} }'
chicago: Franke, Patrick, Markus Schubert, Uwe Hampel, and Eugeny Y. Kenig. “A Rate-Based
Model for Reactive Separation Columns with Sandwich Packings.” Chemical Engineering
Science 321 (2025). https://doi.org/10.1016/j.ces.2025.122681.
ieee: 'P. Franke, M. Schubert, U. Hampel, and E. Y. Kenig, “A rate-based model for
reactive separation columns with sandwich packings,” Chemical Engineering Science,
vol. 321, Art. no. 122681, 2025, doi: 10.1016/j.ces.2025.122681.'
mla: Franke, Patrick, et al. “A Rate-Based Model for Reactive Separation Columns
with Sandwich Packings.” Chemical Engineering Science, vol. 321, 122681,
Elsevier BV, 2025, doi:10.1016/j.ces.2025.122681.
short: P. Franke, M. Schubert, U. Hampel, E.Y. Kenig, Chemical Engineering Science
321 (2025).
date_created: 2025-12-08T07:40:18Z
date_updated: 2025-12-08T07:45:19Z
department:
- _id: '831'
doi: 10.1016/j.ces.2025.122681
intvolume: ' 321'
keyword:
- Sandwich packings Structured packings Rate-based approach Model validation Ultra-fast
X-ray tomography
language:
- iso: eng
publication: Chemical Engineering Science
publication_identifier:
issn:
- 0009-2509
publication_status: published
publisher: Elsevier BV
quality_controlled: '1'
status: public
title: A rate-based model for reactive separation columns with sandwich packings
type: journal_article
user_id: '93922'
volume: 321
year: '2025'
...
---
_id: '62078'
abstract:
- lang: eng
text: 'Fiber reinforced plastics (FRP) exhibit strongly non-linear deformation behavior.
To capture this in simulations, intricate models with a variety of parameters
are typically used. The identification of values for such parameters is highly
challenging and requires in depth understanding of the model itself. Machine learning
(ML) is a promising approach for alleviating this challenge by directly predicting
parameters based on experimental results. So far, this works mostly for purely
artificial data. In this work, two approaches to generalize to experimental data
are investigated: a sequential approach, leveraging understanding of the constitutive
model and a direct, purely data driven approach. This is exemplary carried out
for a highly non-linear strain rate dependent constitutive model for the shear
behavior of FRP.The sequential model is found to work better on both artificial
and experimental data. It is capable of extracting well suited parameters from
the artificial data under realistic conditions. For the experimental data, the
model performance depends on the composition of the experimental curves, varying
between excellently suiting and reasonable predictions. Taking the expert knowledge
into account for ML-model training led to far better results than the purely data
driven approach. Robustifying the model predictions on experimental data promises
further improvement. '
author:
- first_name: Johannes
full_name: Gerritzen, Johannes
id: '105344'
last_name: Gerritzen
orcid: 0000-0002-0169-8602
- first_name: Andreas
full_name: Hornig, Andreas
last_name: Hornig
- first_name: Peter
full_name: Winkler, Peter
last_name: Winkler
- first_name: Maik
full_name: Gude, Maik
last_name: Gude
citation:
ama: 'Gerritzen J, Hornig A, Winkler P, Gude M. Direct parameter identification
for highly nonlinear strain rate dependent constitutive models using machine learning.
In: ECCM21 - Proceedings of the 21st European Conference on Composite Materials.
Vol 3. European Society for Composite Materials (ESCM); 2024:1252–1259. doi:10.60691/yj56-np80'
apa: Gerritzen, J., Hornig, A., Winkler, P., & Gude, M. (2024). Direct parameter
identification for highly nonlinear strain rate dependent constitutive models
using machine learning. ECCM21 - Proceedings of the 21st European Conference
on Composite Materials, 3, 1252–1259. https://doi.org/10.60691/yj56-np80
bibtex: '@inproceedings{Gerritzen_Hornig_Winkler_Gude_2024, title={Direct parameter
identification for highly nonlinear strain rate dependent constitutive models
using machine learning}, volume={3}, DOI={10.60691/yj56-np80},
booktitle={ECCM21 - Proceedings of the 21st European Conference on Composite Materials},
publisher={European Society for Composite Materials (ESCM)}, author={Gerritzen,
Johannes and Hornig, Andreas and Winkler, Peter and Gude, Maik}, year={2024},
pages={1252–1259} }'
chicago: Gerritzen, Johannes, Andreas Hornig, Peter Winkler, and Maik Gude. “Direct
Parameter Identification for Highly Nonlinear Strain Rate Dependent Constitutive
Models Using Machine Learning.” In ECCM21 - Proceedings of the 21st European
Conference on Composite Materials, 3:1252–1259. European Society for Composite
Materials (ESCM), 2024. https://doi.org/10.60691/yj56-np80.
ieee: 'J. Gerritzen, A. Hornig, P. Winkler, and M. Gude, “Direct parameter identification
for highly nonlinear strain rate dependent constitutive models using machine learning,”
in ECCM21 - Proceedings of the 21st European Conference on Composite Materials,
2024, vol. 3, pp. 1252–1259, doi: 10.60691/yj56-np80.'
mla: Gerritzen, Johannes, et al. “Direct Parameter Identification for Highly Nonlinear
Strain Rate Dependent Constitutive Models Using Machine Learning.” ECCM21 -
Proceedings of the 21st European Conference on Composite Materials, vol. 3,
European Society for Composite Materials (ESCM), 2024, pp. 1252–1259, doi:10.60691/yj56-np80.
short: 'J. Gerritzen, A. Hornig, P. Winkler, M. Gude, in: ECCM21 - Proceedings of
the 21st European Conference on Composite Materials, European Society for Composite
Materials (ESCM), 2024, pp. 1252–1259.'
date_created: 2025-11-04T12:47:06Z
date_updated: 2026-02-27T06:46:21Z
doi: 10.60691/yj56-np80
intvolume: ' 3'
keyword:
- Direct parameter identification
- Machine learning
- Convolutional neural networks
- Strain rate dependency
- Fiber reinforced plastics
- woven composites
- segmentation
- synthetic training data
- x-ray computed tomography
language:
- iso: eng
page: 1252–1259
project:
- _id: '130'
name: 'TRR 285: Methodenentwicklung zur mechanischen Fügbarkeit in wandlungsfähigen
Prozessketten'
- _id: '137'
name: TRR 285 - Subproject A03
- _id: '131'
name: TRR 285 - Project Area A
publication: ECCM21 - Proceedings of the 21st European Conference on Composite Materials
publication_identifier:
isbn:
- 978-2-912985-01-9
publisher: European Society for Composite Materials (ESCM)
status: public
title: Direct parameter identification for highly nonlinear strain rate dependent
constitutive models using machine learning
type: conference
user_id: '105344'
volume: 3
year: '2024'
...
---
_id: '46451'
abstract:
- lang: eng
text: 'New technologies and materials carry significant potential for sustainable
production and use of products. As an example, Additive Manufacturing technologies
and materials promise lightweight design and energy efficient use of parts. Exhausting
the full potential requires: a) consideration of uncertainties with respect to
future capabilities, and b) upgradeable design guidelines to cover advancements
consistently. The proposed approach merges concepts of Design-for-X with foresight
algorithms of Scenario-Technique to derive actionable knowledge. It is validated
by an application in the field of Additive Manufacturing, namely Metal Fused Deposition
Modelling. Engineers benefit from the intuitive access to heterogeneous types
of sustainability related information.'
author:
- first_name: Iris
full_name: Gräßler, Iris
id: '47565'
last_name: Gräßler
orcid: 0000-0001-5765-971X
- first_name: Iryna
full_name: Mozgova, Iryna
id: '95903'
last_name: Mozgova
- first_name: Jens
full_name: Pottebaum, Jens
id: '405'
last_name: Pottebaum
orcid: http://orcid.org/0000-0001-8778-2989
- first_name: Manuel
full_name: Ott, Manuel
id: '44204'
last_name: Ott
- first_name: Philipp
full_name: Jung, Philipp
last_name: Jung
- first_name: Philipp
full_name: Hesse, Philipp
id: '60633'
last_name: Hesse
citation:
ama: 'Gräßler I, Mozgova I, Pottebaum J, Ott M, Jung P, Hesse P. Handling of uncertainties
in the design of sustainable Additive Manufacturing products by merging Design-for-X
and Scenario-Technique. In: 17th CIRP Conference on Intelligent Computation
in Manufacturing Engineering. Vol 126. Procedia CIRP. Elsevier; 2024:549-554.
doi:10.1016/j.procir.2024.08.238'
apa: Gräßler, I., Mozgova, I., Pottebaum, J., Ott, M., Jung, P., & Hesse, P.
(2024). Handling of uncertainties in the design of sustainable Additive Manufacturing
products by merging Design-for-X and Scenario-Technique. 17th CIRP Conference
on Intelligent Computation in Manufacturing Engineering, 126, 549–554.
https://doi.org/10.1016/j.procir.2024.08.238
bibtex: '@inproceedings{Gräßler_Mozgova_Pottebaum_Ott_Jung_Hesse_2024, series={Procedia
CIRP}, title={Handling of uncertainties in the design of sustainable Additive
Manufacturing products by merging Design-for-X and Scenario-Technique}, volume={126},
DOI={10.1016/j.procir.2024.08.238},
booktitle={17th CIRP Conference on Intelligent Computation in Manufacturing Engineering},
publisher={Elsevier}, author={Gräßler, Iris and Mozgova, Iryna and Pottebaum,
Jens and Ott, Manuel and Jung, Philipp and Hesse, Philipp}, year={2024}, pages={549–554},
collection={Procedia CIRP} }'
chicago: Gräßler, Iris, Iryna Mozgova, Jens Pottebaum, Manuel Ott, Philipp Jung,
and Philipp Hesse. “Handling of Uncertainties in the Design of Sustainable Additive
Manufacturing Products by Merging Design-for-X and Scenario-Technique.” In 17th
CIRP Conference on Intelligent Computation in Manufacturing Engineering, 126:549–54.
Procedia CIRP. Elsevier, 2024. https://doi.org/10.1016/j.procir.2024.08.238.
ieee: 'I. Gräßler, I. Mozgova, J. Pottebaum, M. Ott, P. Jung, and P. Hesse, “Handling
of uncertainties in the design of sustainable Additive Manufacturing products
by merging Design-for-X and Scenario-Technique,” in 17th CIRP Conference on
Intelligent Computation in Manufacturing Engineering, Gulf of Naples, 2024,
vol. 126, pp. 549–554, doi: 10.1016/j.procir.2024.08.238.'
mla: Gräßler, Iris, et al. “Handling of Uncertainties in the Design of Sustainable
Additive Manufacturing Products by Merging Design-for-X and Scenario-Technique.”
17th CIRP Conference on Intelligent Computation in Manufacturing Engineering,
vol. 126, Elsevier, 2024, pp. 549–54, doi:10.1016/j.procir.2024.08.238.
short: 'I. Gräßler, I. Mozgova, J. Pottebaum, M. Ott, P. Jung, P. Hesse, in: 17th
CIRP Conference on Intelligent Computation in Manufacturing Engineering, Elsevier,
2024, pp. 549–554.'
conference:
end_date: 2023-07-14
location: Gulf of Naples
name: 17th CIRP Conference on Intelligent Computation in Manufacturing Engineering
start_date: 2023-07-11
date_created: 2023-08-08T07:42:04Z
date_updated: 2024-11-21T10:13:30Z
department:
- _id: '152'
- _id: '741'
doi: 10.1016/j.procir.2024.08.238
intvolume: ' 126'
keyword:
- Design-for-X
- Scenario-Technique
- sustainability
- uncertainty
- Life-Cycle Engineering
- Additive Manufacturing
- Circular Economy
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
page: 549-554
project:
- _id: '519'
name: 'BIKINI: BIKINI - Bionik und KI für nachhaltige Integration von Produktentwicklung
für einen ressourceneffizienten Leichtbau'
publication: 17th CIRP Conference on Intelligent Computation in Manufacturing Engineering
publication_status: published
publisher: Elsevier
quality_controlled: '1'
series_title: Procedia CIRP
status: public
title: Handling of uncertainties in the design of sustainable Additive Manufacturing
products by merging Design-for-X and Scenario-Technique
type: conference
user_id: '405'
volume: 126
year: '2024'
...
---
_id: '52204'
article_type: review
author:
- first_name: Matteo
full_name: Genovese, Matteo
last_name: Genovese
- first_name: Alexander
full_name: Schlüter, Alexander
id: '103302'
last_name: Schlüter
orcid: 0000-0002-2569-1624
- first_name: Eugenio
full_name: Scionti, Eugenio
last_name: Scionti
- first_name: Francesco
full_name: Piraino, Francesco
last_name: Piraino
- first_name: Orlando
full_name: Corigliano, Orlando
last_name: Corigliano
- first_name: Petronilla
full_name: Fragiacomo, Petronilla
last_name: Fragiacomo
citation:
ama: Genovese M, Schlüter A, Scionti E, Piraino F, Corigliano O, Fragiacomo P. Power-to-hydrogen
and hydrogen-to-X energy systems for the industry of the future in Europe. International
Journal of Hydrogen Energy. 2023;48(44):16545-16568. doi:10.1016/j.ijhydene.2023.01.194
apa: Genovese, M., Schlüter, A., Scionti, E., Piraino, F., Corigliano, O., &
Fragiacomo, P. (2023). Power-to-hydrogen and hydrogen-to-X energy systems for
the industry of the future in Europe. International Journal of Hydrogen Energy,
48(44), 16545–16568. https://doi.org/10.1016/j.ijhydene.2023.01.194
bibtex: '@article{Genovese_Schlüter_Scionti_Piraino_Corigliano_Fragiacomo_2023,
title={Power-to-hydrogen and hydrogen-to-X energy systems for the industry of
the future in Europe}, volume={48}, DOI={10.1016/j.ijhydene.2023.01.194},
number={44}, journal={International Journal of Hydrogen Energy}, publisher={Elsevier
BV}, author={Genovese, Matteo and Schlüter, Alexander and Scionti, Eugenio and
Piraino, Francesco and Corigliano, Orlando and Fragiacomo, Petronilla}, year={2023},
pages={16545–16568} }'
chicago: 'Genovese, Matteo, Alexander Schlüter, Eugenio Scionti, Francesco Piraino,
Orlando Corigliano, and Petronilla Fragiacomo. “Power-to-Hydrogen and Hydrogen-to-X
Energy Systems for the Industry of the Future in Europe.” International Journal
of Hydrogen Energy 48, no. 44 (2023): 16545–68. https://doi.org/10.1016/j.ijhydene.2023.01.194.'
ieee: 'M. Genovese, A. Schlüter, E. Scionti, F. Piraino, O. Corigliano, and P. Fragiacomo,
“Power-to-hydrogen and hydrogen-to-X energy systems for the industry of the future
in Europe,” International Journal of Hydrogen Energy, vol. 48, no. 44,
pp. 16545–16568, 2023, doi: 10.1016/j.ijhydene.2023.01.194.'
mla: Genovese, Matteo, et al. “Power-to-Hydrogen and Hydrogen-to-X Energy Systems
for the Industry of the Future in Europe.” International Journal of Hydrogen
Energy, vol. 48, no. 44, Elsevier BV, 2023, pp. 16545–68, doi:10.1016/j.ijhydene.2023.01.194.
short: M. Genovese, A. Schlüter, E. Scionti, F. Piraino, O. Corigliano, P. Fragiacomo,
International Journal of Hydrogen Energy 48 (2023) 16545–16568.
date_created: 2024-02-29T09:47:57Z
date_updated: 2024-03-08T19:49:10Z
department:
- _id: '9'
- _id: '876'
doi: 10.1016/j.ijhydene.2023.01.194
intvolume: ' 48'
issue: '44'
keyword:
- Hydrogen economy
- Green hydrogen
- Power-to-X
- Hydrogen-to-X
- Sector coupling
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1016/j.ijhydene.2023.01.194
oa: '1'
page: 16545-16568
publication: International Journal of Hydrogen Energy
publication_identifier:
issn:
- 0360-3199
publication_status: published
publisher: Elsevier BV
quality_controlled: '1'
status: public
title: Power-to-hydrogen and hydrogen-to-X energy systems for the industry of the
future in Europe
type: journal_article
user_id: '103302'
volume: 48
year: '2023'
...
---
_id: '35728'
abstract:
- lang: eng
text: Technological developments such as Cloud Computing, the Internet of Things,
Big Data and Artificial Intelligence continue to drive the digital transformation
of business and society. With the advent of platform-based ecosystems and their
potential to address complex challenges, there is a trend towards greater interconnectedness
between different stakeholders to co-create services based on the provision and
use of data. While previous research on digital transformation mainly focused
on digital transformation within organizations, it is of growing importance to
understand the implications for digital transformation on different layers (e.g.,
interorganizational cooperation and platform ecosystems). In particular, the conceptualization
and implications of public data spaces and related ecosystems provide promising
research opportunities. This special issue contains five papers on the topic of
digital transformation and, with the editorial, further contributes by providing
an initial conceptualization of public data spaces' potential to foster innovative
progress and digital transformation from a management perspective.
article_type: letter_note
author:
- first_name: Daniel
full_name: Beverungen, Daniel
id: '59677'
last_name: Beverungen
- first_name: Thomas
full_name: Hess, Thomas
last_name: Hess
- first_name: Antonia
full_name: Köster, Antonia
last_name: Köster
- first_name: Christiane
full_name: Lehrer, Christiane
last_name: Lehrer
citation:
ama: 'Beverungen D, Hess T, Köster A, Lehrer C. From private digital platforms to
public data spaces: implications for the digital transformation. Electronic
Markets. 2022;32:493-501. doi:10.1007/s12525-022-00553-z'
apa: 'Beverungen, D., Hess, T., Köster, A., & Lehrer, C. (2022). From private
digital platforms to public data spaces: implications for the digital transformation.
Electronic Markets, 32, 493–501. https://doi.org/10.1007/s12525-022-00553-z'
bibtex: '@article{Beverungen_Hess_Köster_Lehrer_2022, title={From private digital
platforms to public data spaces: implications for the digital transformation},
volume={32}, DOI={10.1007/s12525-022-00553-z},
journal={Electronic Markets}, publisher={Springer Science and Business Media LLC},
author={Beverungen, Daniel and Hess, Thomas and Köster, Antonia and Lehrer, Christiane},
year={2022}, pages={493–501} }'
chicago: 'Beverungen, Daniel, Thomas Hess, Antonia Köster, and Christiane Lehrer.
“From Private Digital Platforms to Public Data Spaces: Implications for the Digital
Transformation.” Electronic Markets 32 (2022): 493–501. https://doi.org/10.1007/s12525-022-00553-z.'
ieee: 'D. Beverungen, T. Hess, A. Köster, and C. Lehrer, “From private digital platforms
to public data spaces: implications for the digital transformation,” Electronic
Markets, vol. 32, pp. 493–501, 2022, doi: 10.1007/s12525-022-00553-z.'
mla: 'Beverungen, Daniel, et al. “From Private Digital Platforms to Public Data
Spaces: Implications for the Digital Transformation.” Electronic Markets,
vol. 32, Springer Science and Business Media LLC, 2022, pp. 493–501, doi:10.1007/s12525-022-00553-z.'
short: D. Beverungen, T. Hess, A. Köster, C. Lehrer, Electronic Markets 32 (2022)
493–501.
date_created: 2023-01-10T09:52:01Z
date_updated: 2024-04-18T12:37:41Z
ddc:
- '380'
department:
- _id: '526'
doi: 10.1007/s12525-022-00553-z
file:
- access_level: closed
content_type: application/pdf
creator: dabe
date_created: 2024-04-18T12:35:42Z
date_updated: 2024-04-18T12:35:42Z
file_id: '53572'
file_name: EM - From Private Platforms o Pubic Data Spaces.pdf
file_size: 861383
relation: main_file
success: 1
file_date_updated: 2024-04-18T12:35:42Z
has_accepted_license: '1'
intvolume: ' 32'
keyword:
- Digital transformation
- Public data spaces
- Digital platforms
- GAIA-X
language:
- iso: eng
page: 493-501
publication: Electronic Markets
publication_identifier:
issn:
- 1019-6781
- 1422-8890
publication_status: published
publisher: Springer Science and Business Media LLC
quality_controlled: '1'
status: public
title: 'From private digital platforms to public data spaces: implications for the
digital transformation'
type: journal_article
user_id: '59677'
volume: 32
year: '2022'
...
---
_id: '12918'
abstract:
- lang: eng
text: 'The test for small delay faults is of major importance for predicting potential
early life failures or wearout problems. Typically, a faster-than-at-speed test
(FAST) with sev¬eral different frequencies is used to detect also hidden small
delays, which can only be propagated over short paths. But then the outputs at
the end of long paths may no longer reach their stable values at the nominal observation
time and must be considered as unknown (X-values). Thus, test response compaction
for FAST must be extremely flexible to cope with high X-rates, which also vary
with the test frequencies. Stochastic compaction introduced by Mitra et al. is
controlled by weighted pseudo-random signals allowing for easy adaptation to varying
conditions. As demonstrated in previous work, the pseudo-random control can be
optimized for high fault efficiency or X-reduction, but a given target in fault
efficiency cannot be guaranteed. To close this gap, a hybrid space compactor is
introduced in this paper. It is based on the observation that many faults are
lost in the compaction of relatively few critical test patterns. For these critical
patterns a deterministic compaction phase is added to the test, where the existing
compactor structure is re-used, but controlled by specifically determined control
vectors. '
author:
- first_name: Mohammad Urf
full_name: Maaz, Mohammad Urf
id: '49274'
last_name: Maaz
- first_name: Alexander
full_name: Sprenger, Alexander
id: '22707'
last_name: Sprenger
- first_name: Sybille
full_name: Hellebrand, Sybille
id: '209'
last_name: Hellebrand
orcid: 0000-0002-3717-3939
citation:
ama: 'Maaz MU, Sprenger A, Hellebrand S. A Hybrid Space Compactor for Adaptive X-Handling.
In: 50th IEEE International Test Conference (ITC). IEEE; 2019:1-8.'
apa: Maaz, M. U., Sprenger, A., & Hellebrand, S. (2019). A Hybrid Space Compactor
for Adaptive X-Handling. 50th IEEE International Test Conference (ITC),
1–8.
bibtex: '@inproceedings{Maaz_Sprenger_Hellebrand_2019, place={Washington, DC, USA},
title={A Hybrid Space Compactor for Adaptive X-Handling}, booktitle={50th IEEE
International Test Conference (ITC)}, publisher={IEEE}, author={Maaz, Mohammad
Urf and Sprenger, Alexander and Hellebrand, Sybille}, year={2019}, pages={1–8}
}'
chicago: 'Maaz, Mohammad Urf, Alexander Sprenger, and Sybille Hellebrand. “A Hybrid
Space Compactor for Adaptive X-Handling.” In 50th IEEE International Test Conference
(ITC), 1–8. Washington, DC, USA: IEEE, 2019.'
ieee: M. U. Maaz, A. Sprenger, and S. Hellebrand, “A Hybrid Space Compactor for
Adaptive X-Handling,” in 50th IEEE International Test Conference (ITC),
Washington, DC, USA, 2019, pp. 1–8.
mla: Maaz, Mohammad Urf, et al. “A Hybrid Space Compactor for Adaptive X-Handling.”
50th IEEE International Test Conference (ITC), IEEE, 2019, pp. 1–8.
short: 'M.U. Maaz, A. Sprenger, S. Hellebrand, in: 50th IEEE International Test
Conference (ITC), IEEE, Washington, DC, USA, 2019, pp. 1–8.'
conference:
end_date: 2019-11-14
location: Washington, DC, USA
name: 50th IEEE International Test Conference (ITC)
start_date: 2019-11-12
date_created: 2019-08-14T06:59:04Z
date_updated: 2022-05-11T17:09:35Z
department:
- _id: '48'
keyword:
- Faster-than-at-speed test
- BIST
- DFT
- Test response compaction
- Stochastic compactor
- X-handling
language:
- iso: eng
page: 1-8
place: Washington, DC, USA
publication: 50th IEEE International Test Conference (ITC)
publication_status: published
publisher: IEEE
quality_controlled: '1'
status: public
title: A Hybrid Space Compactor for Adaptive X-Handling
type: conference
user_id: '209'
year: '2019'
...
---
_id: '9974'
abstract:
- lang: eng
text: The integrated modeling of behavior and reliability in system development
delivers a model-based approach for reliability investigation by taking into account
the dynamic system behavior as well as the system architecture at different phases
of the development process. This approach features an automated synthesis of a
reliability model out of a behavior model enabling for the closed loop modeling
of degradation of the system and its (dynamic) behavior. The approach is integrated
into the development process following Systems Engineering. It is based on standard
models used in model-based development methodologies i.e. SysML or Matlab/Simulink.
In addition to the theoretical description of the necessary steps the procedure
is validated by an application example at two stages of the development process.
author:
- first_name: Julian
full_name: Hentze, Julian
id: '13342'
last_name: Hentze
- first_name: Thorben
full_name: Kaul, Thorben
id: '14802'
last_name: Kaul
- first_name: Iris
full_name: Grässler, Iris
last_name: Grässler
- first_name: Walter
full_name: Sextro, Walter
id: '21220'
last_name: Sextro
citation:
ama: 'Hentze J, Kaul T, Grässler I, Sextro W. Integrated modeling og behavior and
reliability in system development. In: ICED17, 21st International Conference
on Enginieering Design. ; 2017:385-394.'
apa: Hentze, J., Kaul, T., Grässler, I., & Sextro, W. (2017). Integrated modeling
og behavior and reliability in system development. In ICED17, 21st International
conference on enginieering design (pp. 385–394).
bibtex: '@inproceedings{Hentze_Kaul_Grässler_Sextro_2017, title={Integrated modeling
og behavior and reliability in system development}, booktitle={ICED17, 21st International
conference on enginieering design}, author={Hentze, Julian and Kaul, Thorben and
Grässler, Iris and Sextro, Walter}, year={2017}, pages={385–394} }'
chicago: Hentze, Julian, Thorben Kaul, Iris Grässler, and Walter Sextro. “Integrated
Modeling Og Behavior and Reliability in System Development.” In ICED17, 21st
International Conference on Enginieering Design, 385–94, 2017.
ieee: J. Hentze, T. Kaul, I. Grässler, and W. Sextro, “Integrated modeling og behavior
and reliability in system development,” in ICED17, 21st International conference
on enginieering design, 2017, pp. 385–394.
mla: Hentze, Julian, et al. “Integrated Modeling Og Behavior and Reliability in
System Development.” ICED17, 21st International Conference on Enginieering
Design, 2017, pp. 385–94.
short: 'J. Hentze, T. Kaul, I. Grässler, W. Sextro, in: ICED17, 21st International
Conference on Enginieering Design, 2017, pp. 385–394.'
date_created: 2019-05-27T09:35:48Z
date_updated: 2019-09-30T08:04:38Z
department:
- _id: '151'
keyword:
- Design for X (DfX)
- Product modelling / models
- Robust design
- Systems Engineering (SE)
- Reliability
language:
- iso: eng
page: 385-394
publication: ICED17, 21st International conference on enginieering design
quality_controlled: '1'
status: public
title: Integrated modeling og behavior and reliability in system development
type: conference
user_id: '55222'
year: '2017'
...