---
_id: '48838'
abstract:
- lang: eng
text: 'The majority of algorithms can be controlled or adjusted by parameters. Their
values can substantially affect the algorithms’ performance. Since the manual
exploration of the parameter space is tedious – even for few parameters – several
automatic procedures for parameter tuning have been proposed. Recent approaches
also take into account some characteristic properties of the problem instances,
frequently termed instance features. Our contribution is the proposal of a novel
concept for feature-based algorithm parameter tuning, which applies an approximating
surrogate model for learning the continuous feature-parameter mapping. To accomplish
this, we learn a joint model of the algorithm performance based on both the algorithm
parameters and the instance features. The required data is gathered using a recently
proposed acquisition function for model refinement in surrogate-based optimization:
the profile expected improvement. This function provides an avenue for maximizing
the information required for the feature-parameter mapping, i.e., the mapping
from instance features to the corresponding optimal algorithm parameters. The
approach is validated by applying the tuner to exemplary evolutionary algorithms
and problems, for which theoretically grounded or heuristically determined feature-parameter
mappings are available.'
author:
- first_name: Jakob
full_name: Bossek, Jakob
id: '102979'
last_name: Bossek
orcid: 0000-0002-4121-4668
- first_name: Bernd
full_name: Bischl, Bernd
last_name: Bischl
- first_name: Tobias
full_name: Wagner, Tobias
last_name: Wagner
- first_name: Günter
full_name: Rudolph, Günter
last_name: Rudolph
citation:
ama: 'Bossek J, Bischl B, Wagner T, Rudolph G. Learning Feature-Parameter Mappings
for Parameter Tuning via the Profile Expected Improvement. In: Proceedings
of the Genetic and Evolutionary Computation Conference. GECCO ’15. Association
for Computing Machinery; 2015:1319–1326. doi:10.1145/2739480.2754673'
apa: Bossek, J., Bischl, B., Wagner, T., & Rudolph, G. (2015). Learning Feature-Parameter
Mappings for Parameter Tuning via the Profile Expected Improvement. Proceedings
of the Genetic and Evolutionary Computation Conference, 1319–1326. https://doi.org/10.1145/2739480.2754673
bibtex: '@inproceedings{Bossek_Bischl_Wagner_Rudolph_2015, place={New York, NY,
USA}, series={GECCO ’15}, title={Learning Feature-Parameter Mappings for Parameter
Tuning via the Profile Expected Improvement}, DOI={10.1145/2739480.2754673},
booktitle={Proceedings of the Genetic and Evolutionary Computation Conference},
publisher={Association for Computing Machinery}, author={Bossek, Jakob and Bischl,
Bernd and Wagner, Tobias and Rudolph, Günter}, year={2015}, pages={1319–1326},
collection={GECCO ’15} }'
chicago: 'Bossek, Jakob, Bernd Bischl, Tobias Wagner, and Günter Rudolph. “Learning
Feature-Parameter Mappings for Parameter Tuning via the Profile Expected Improvement.”
In Proceedings of the Genetic and Evolutionary Computation Conference,
1319–1326. GECCO ’15. New York, NY, USA: Association for Computing Machinery,
2015. https://doi.org/10.1145/2739480.2754673.'
ieee: 'J. Bossek, B. Bischl, T. Wagner, and G. Rudolph, “Learning Feature-Parameter
Mappings for Parameter Tuning via the Profile Expected Improvement,” in Proceedings
of the Genetic and Evolutionary Computation Conference, 2015, pp. 1319–1326,
doi: 10.1145/2739480.2754673.'
mla: Bossek, Jakob, et al. “Learning Feature-Parameter Mappings for Parameter Tuning
via the Profile Expected Improvement.” Proceedings of the Genetic and Evolutionary
Computation Conference, Association for Computing Machinery, 2015, pp. 1319–1326,
doi:10.1145/2739480.2754673.
short: 'J. Bossek, B. Bischl, T. Wagner, G. Rudolph, in: Proceedings of the Genetic
and Evolutionary Computation Conference, Association for Computing Machinery,
New York, NY, USA, 2015, pp. 1319–1326.'
date_created: 2023-11-14T15:58:51Z
date_updated: 2023-12-13T10:40:30Z
department:
- _id: '819'
doi: 10.1145/2739480.2754673
extern: '1'
keyword:
- evolutionary algorithms
- model-based optimization
- parameter tuning
language:
- iso: eng
page: 1319–1326
place: New York, NY, USA
publication: Proceedings of the Genetic and Evolutionary Computation Conference
publication_identifier:
isbn:
- 978-1-4503-3472-3
publication_status: published
publisher: Association for Computing Machinery
series_title: GECCO ’15
status: public
title: Learning Feature-Parameter Mappings for Parameter Tuning via the Profile Expected
Improvement
type: conference
user_id: '102979'
year: '2015'
...
---
_id: '48887'
abstract:
- lang: eng
text: 'We evaluate the performance of a multi-objective evolutionary algorithm on
a class of dynamic routing problems with a single vehicle. In particular we focus
on relating algorithmic performance to the most prominent characteristics of problem
instances. The routing problem considers two types of customers: mandatory customers
must be visited whereas optional customers do not necessarily have to be visited.
Moreover, mandatory customers are known prior to the start of the tour whereas
optional customers request for service at later points in time with the vehicle
already being on its way. The multi-objective optimization problem then results
as maximizing the number of visited customers while simultaneously minimizing
total travel time. As an a-posteriori evaluation tool, the evolutionary algorithm
aims at approximating the related Pareto set for specifically designed benchmarking
instances differing in terms of number of customers, geographical layout, fraction
of mandatory customers, and request times of optional customers. Conceptional
and experimental comparisons to online heuristic procedures are provided.'
author:
- first_name: Stephan
full_name: Meisel, Stephan
last_name: Meisel
- first_name: Christian
full_name: Grimme, Christian
last_name: Grimme
- first_name: Jakob
full_name: Bossek, Jakob
id: '102979'
last_name: Bossek
orcid: 0000-0002-4121-4668
- first_name: Martin
full_name: Wölck, Martin
last_name: Wölck
- first_name: Günter
full_name: Rudolph, Günter
last_name: Rudolph
- first_name: Heike
full_name: Trautmann, Heike
last_name: Trautmann
citation:
ama: 'Meisel S, Grimme C, Bossek J, Wölck M, Rudolph G, Trautmann H. Evaluation
of a Multi-Objective EA on Benchmark Instances for Dynamic Routing of a Vehicle.
In: Proceedings of the Genetic and Evolutionary Computation Conference .
GECCO’15. Association for Computing Machinery; 2015:425–432. doi:10.1145/2739480.2754705'
apa: Meisel, S., Grimme, C., Bossek, J., Wölck, M., Rudolph, G., & Trautmann,
H. (2015). Evaluation of a Multi-Objective EA on Benchmark Instances for Dynamic
Routing of a Vehicle. Proceedings of the Genetic and Evolutionary Computation
Conference , 425–432. https://doi.org/10.1145/2739480.2754705
bibtex: '@inproceedings{Meisel_Grimme_Bossek_Wölck_Rudolph_Trautmann_2015, place={New
York, NY, USA}, series={GECCO’15}, title={Evaluation of a Multi-Objective EA on
Benchmark Instances for Dynamic Routing of a Vehicle}, DOI={10.1145/2739480.2754705},
booktitle={Proceedings of the Genetic and Evolutionary Computation Conference
}, publisher={Association for Computing Machinery}, author={Meisel, Stephan and
Grimme, Christian and Bossek, Jakob and Wölck, Martin and Rudolph, Günter and
Trautmann, Heike}, year={2015}, pages={425–432}, collection={GECCO’15} }'
chicago: 'Meisel, Stephan, Christian Grimme, Jakob Bossek, Martin Wölck, Günter
Rudolph, and Heike Trautmann. “Evaluation of a Multi-Objective EA on Benchmark
Instances for Dynamic Routing of a Vehicle.” In Proceedings of the Genetic
and Evolutionary Computation Conference , 425–432. GECCO’15. New York, NY,
USA: Association for Computing Machinery, 2015. https://doi.org/10.1145/2739480.2754705.'
ieee: 'S. Meisel, C. Grimme, J. Bossek, M. Wölck, G. Rudolph, and H. Trautmann,
“Evaluation of a Multi-Objective EA on Benchmark Instances for Dynamic Routing
of a Vehicle,” in Proceedings of the Genetic and Evolutionary Computation Conference
, 2015, pp. 425–432, doi: 10.1145/2739480.2754705.'
mla: Meisel, Stephan, et al. “Evaluation of a Multi-Objective EA on Benchmark Instances
for Dynamic Routing of a Vehicle.” Proceedings of the Genetic and Evolutionary
Computation Conference , Association for Computing Machinery, 2015, pp. 425–432,
doi:10.1145/2739480.2754705.
short: 'S. Meisel, C. Grimme, J. Bossek, M. Wölck, G. Rudolph, H. Trautmann, in:
Proceedings of the Genetic and Evolutionary Computation Conference , Association
for Computing Machinery, New York, NY, USA, 2015, pp. 425–432.'
date_created: 2023-11-14T15:58:59Z
date_updated: 2023-12-13T10:49:06Z
department:
- _id: '819'
doi: 10.1145/2739480.2754705
extern: '1'
keyword:
- combinatorial optimization
- metaheuristics
- multi-objective optimization
- online algorithms
- transportation
language:
- iso: eng
page: 425–432
place: New York, NY, USA
publication: 'Proceedings of the Genetic and Evolutionary Computation Conference '
publication_identifier:
isbn:
- 978-1-4503-3472-3
publisher: Association for Computing Machinery
series_title: GECCO’15
status: public
title: Evaluation of a Multi-Objective EA on Benchmark Instances for Dynamic Routing
of a Vehicle
type: conference
user_id: '102979'
year: '2015'
...
---
_id: '17661'
author:
- first_name: Thomas C.
full_name: King, Thomas C.
last_name: King
- first_name: Qingzhi
full_name: Liu, Qingzhi
last_name: Liu
- first_name: Gleb
full_name: Polevoy, Gleb
id: '83983'
last_name: Polevoy
- first_name: Mathijs
full_name: de Weerdt, Mathijs
last_name: de Weerdt
- first_name: Virginia
full_name: Dignum, Virginia
last_name: Dignum
- first_name: M. Birna
full_name: van Riemsdijk, M. Birna
last_name: van Riemsdijk
- first_name: Martijn
full_name: Warnier, Martijn
last_name: Warnier
citation:
ama: 'King TC, Liu Q, Polevoy G, et al. Request Driven Social Sensing. In: Proceedings
of the 2014 International Conference on Autonomous Agents and Multi-Agent Systems.
AAMAS ’14. Richland, SC: International Foundation for Autonomous Agents and Multiagent
Systems; 2014:1651-1652.'
apa: 'King, T. C., Liu, Q., Polevoy, G., de Weerdt, M., Dignum, V., van Riemsdijk,
M. B., & Warnier, M. (2014). Request Driven Social Sensing. In Proceedings
of the 2014 International Conference on Autonomous Agents and Multi-agent Systems
(pp. 1651–1652). Richland, SC: International Foundation for Autonomous Agents
and Multiagent Systems.'
bibtex: '@inproceedings{King_Liu_Polevoy_de Weerdt_Dignum_van Riemsdijk_Warnier_2014,
place={Richland, SC}, series={AAMAS ’14}, title={Request Driven Social Sensing},
booktitle={Proceedings of the 2014 International Conference on Autonomous Agents
and Multi-agent Systems}, publisher={International Foundation for Autonomous Agents
and Multiagent Systems}, author={King, Thomas C. and Liu, Qingzhi and Polevoy,
Gleb and de Weerdt, Mathijs and Dignum, Virginia and van Riemsdijk, M. Birna and
Warnier, Martijn}, year={2014}, pages={1651–1652}, collection={AAMAS ’14} }'
chicago: 'King, Thomas C., Qingzhi Liu, Gleb Polevoy, Mathijs de Weerdt, Virginia
Dignum, M. Birna van Riemsdijk, and Martijn Warnier. “Request Driven Social Sensing.”
In Proceedings of the 2014 International Conference on Autonomous Agents and
Multi-Agent Systems, 1651–52. AAMAS ’14. Richland, SC: International Foundation
for Autonomous Agents and Multiagent Systems, 2014.'
ieee: T. C. King et al., “Request Driven Social Sensing,” in Proceedings
of the 2014 International Conference on Autonomous Agents and Multi-agent Systems,
2014, pp. 1651–1652.
mla: King, Thomas C., et al. “Request Driven Social Sensing.” Proceedings of
the 2014 International Conference on Autonomous Agents and Multi-Agent Systems,
International Foundation for Autonomous Agents and Multiagent Systems, 2014, pp.
1651–52.
short: 'T.C. King, Q. Liu, G. Polevoy, M. de Weerdt, V. Dignum, M.B. van Riemsdijk,
M. Warnier, in: Proceedings of the 2014 International Conference on Autonomous
Agents and Multi-Agent Systems, International Foundation for Autonomous Agents
and Multiagent Systems, Richland, SC, 2014, pp. 1651–1652.'
date_created: 2020-08-06T15:21:45Z
date_updated: 2022-01-06T06:53:16Z
department:
- _id: '63'
- _id: '541'
extern: '1'
keyword:
- crowd-sensing
- crowdsourcing
- data aggregation
- game theory
- norms
- reciprocation
- self interested agents
- simulation
language:
- iso: eng
page: 1651-1652
place: Richland, SC
publication: Proceedings of the 2014 International Conference on Autonomous Agents
and Multi-agent Systems
publication_identifier:
isbn:
- 978-1-4503-2738-1
publisher: International Foundation for Autonomous Agents and Multiagent Systems
series_title: AAMAS '14
status: public
title: Request Driven Social Sensing
type: conference
user_id: '83983'
year: '2014'
...
---
_id: '9879'
abstract:
- lang: eng
text: Application of prognostics and health management (PHM) in the field of Proton
Exchange Membrane (PEM) fuel cells is emerging as an important tool in increasing
the reliability and availability of these systems. Though a lot of work is currently
being conducted to develop PHM systems for fuel cells, various challenges have
been encountered including the self-healing effect after characterization as well
as accelerated degradation due to dynamic loading, all which make RUL predictions
a difficult task. In this study, a prognostic approach based on adaptive particle
filter algorithm is proposed. The novelty of the proposed method lies in the introduction
of a self-healing factor after each characterization and the adaption of the degradation
model parameters to fit to the changing degradation trend. An ensemble of five
different state models based on weighted mean is then developed. The results show
that the method is effective in estimating the remaining useful life of PEM fuel
cells, with majority of the predictions falling within 5\% error. The method was
employed in the IEEE 2014 PHM Data Challenge and led to our team emerging the
winner of the RUL category of the challenge.
author:
- first_name: 'James Kuria '
full_name: 'Kimotho, James Kuria '
last_name: Kimotho
- first_name: Tobias
full_name: Meyer, Tobias
last_name: Meyer
- first_name: Walter
full_name: Sextro, Walter
id: '21220'
last_name: Sextro
citation:
ama: 'Kimotho JK, Meyer T, Sextro W. PEM fuel cell prognostics using particle filter
with model parameter adaptation. In: Prognostics and Health Management (PHM),
2014 IEEE Conference On. ; 2014:1-6. doi:10.1109/ICPHM.2014.7036406'
apa: Kimotho, J. K., Meyer, T., & Sextro, W. (2014). PEM fuel cell prognostics
using particle filter with model parameter adaptation. In Prognostics and Health
Management (PHM), 2014 IEEE Conference on (pp. 1–6). https://doi.org/10.1109/ICPHM.2014.7036406
bibtex: '@inproceedings{Kimotho_Meyer_Sextro_2014, title={PEM fuel cell prognostics
using particle filter with model parameter adaptation}, DOI={10.1109/ICPHM.2014.7036406},
booktitle={Prognostics and Health Management (PHM), 2014 IEEE Conference on},
author={Kimotho, James Kuria and Meyer, Tobias and Sextro, Walter}, year={2014},
pages={1–6} }'
chicago: Kimotho, James Kuria , Tobias Meyer, and Walter Sextro. “PEM Fuel Cell
Prognostics Using Particle Filter with Model Parameter Adaptation.” In Prognostics
and Health Management (PHM), 2014 IEEE Conference On, 1–6, 2014. https://doi.org/10.1109/ICPHM.2014.7036406.
ieee: J. K. Kimotho, T. Meyer, and W. Sextro, “PEM fuel cell prognostics using particle
filter with model parameter adaptation,” in Prognostics and Health Management
(PHM), 2014 IEEE Conference on, 2014, pp. 1–6.
mla: Kimotho, James Kuria, et al. “PEM Fuel Cell Prognostics Using Particle Filter
with Model Parameter Adaptation.” Prognostics and Health Management (PHM),
2014 IEEE Conference On, 2014, pp. 1–6, doi:10.1109/ICPHM.2014.7036406.
short: 'J.K. Kimotho, T. Meyer, W. Sextro, in: Prognostics and Health Management
(PHM), 2014 IEEE Conference On, 2014, pp. 1–6.'
date_created: 2019-05-20T13:11:02Z
date_updated: 2019-05-20T13:12:27Z
department:
- _id: '151'
doi: 10.1109/ICPHM.2014.7036406
keyword:
- ageing
- particle filtering (numerical methods)
- proton exchange membrane fuel cells
- remaining life assessment
- PEM fuel cell prognostics
- PHM
- RUL predictions
- accelerated degradation
- adaptive particle filter algorithm
- dynamic loading
- model parameter adaptation
- prognostics and health management
- proton exchange membrane fuel cells
- remaining useful life estimation
- self-healing effect
- Adaptation models
- Data models
- Degradation
- Estimation
- Fuel cells
- Mathematical model
- Prognostics and health management
language:
- iso: eng
page: 1-6
publication: Prognostics and Health Management (PHM), 2014 IEEE Conference on
status: public
title: PEM fuel cell prognostics using particle filter with model parameter adaptation
type: conference
user_id: '55222'
year: '2014'
...
---
_id: '9884'
abstract:
- lang: eng
text: So-called reliability adaptive systems are able to adapt their system behavior
based on the current reliability of the system. This allows them to react to changed
operating conditions or faults within the system that change the degradation behavior.
To implement such reliability adaptation, self-optimization can be used. A self-optimizing
system pursues objectives, of which the priorities can be changed at runtime,
in turn changing the system behavior. When including system reliability as an
objective of the system, it becomes possible to change the system based on the
current reliability as well. This capability can be used to control the reliability
of the system throughout its operation period in order to achieve a pre-defined
or user-selectable system lifetime. This way, optimal planning of maintenance
intervals is possible while also using the system capabilities to their full extent.
Our proposed control system makes it possible to react to changed degradation
behavior by selecting objectives of the self-optimizing system and in turn changing
the operating parameters in a closed loop. A two-stage controller is designed
which is used to select the currently required priorities of the objectives in
order to fulfill the desired usable lifetime. Investigations using a model of
an automotive clutch system serve to demonstrate the feasibility of our controller.
It is shown that the desired lifetime can be achieved reliably.
author:
- first_name: Tobias
full_name: Meyer , Tobias
last_name: 'Meyer '
- first_name: Walter
full_name: Sextro, Walter
last_name: Sextro
citation:
ama: 'Meyer T, Sextro W. Closed-loop Control System for the Reliability of Intelligent
Mechatronic Systems. In: Proceedings of the Second European Conference of the
Prognostics and Health Management Society 2014. Vol 5. ; 2014.'
apa: Meyer , T., & Sextro, W. (2014). Closed-loop Control System for the Reliability
of Intelligent Mechatronic Systems. In Proceedings of the Second European Conference
of the Prognostics and Health Management Society 2014 (Vol. 5).
bibtex: '@inproceedings{Meyer _Sextro_2014, title={Closed-loop Control System for
the Reliability of Intelligent Mechatronic Systems}, volume={5}, booktitle={Proceedings
of the Second European Conference of the Prognostics and Health Management Society
2014}, author={Meyer , Tobias and Sextro, Walter}, year={2014} }'
chicago: Meyer , Tobias, and Walter Sextro. “Closed-Loop Control System for the
Reliability of Intelligent Mechatronic Systems.” In Proceedings of the Second
European Conference of the Prognostics and Health Management Society 2014,
Vol. 5, 2014.
ieee: T. Meyer and W. Sextro, “Closed-loop Control System for the Reliability of
Intelligent Mechatronic Systems,” in Proceedings of the Second European Conference
of the Prognostics and Health Management Society 2014, 2014, vol. 5.
mla: Meyer , Tobias, and Walter Sextro. “Closed-Loop Control System for the Reliability
of Intelligent Mechatronic Systems.” Proceedings of the Second European Conference
of the Prognostics and Health Management Society 2014, vol. 5, 2014.
short: 'T. Meyer , W. Sextro, in: Proceedings of the Second European Conference
of the Prognostics and Health Management Society 2014, 2014.'
date_created: 2019-05-20T13:18:20Z
date_updated: 2019-05-20T13:19:08Z
department:
- _id: '151'
intvolume: ' 5'
keyword:
- self-optimization reliability adaptive
language:
- iso: eng
publication: Proceedings of the Second European Conference of the Prognostics and
Health Management Society 2014
status: public
title: Closed-loop Control System for the Reliability of Intelligent Mechatronic Systems
type: conference
user_id: '55222'
volume: 5
year: '2014'
...
---
_id: '9885'
abstract:
- lang: eng
text: Intelligent mechatronic systems, such as self-optimizing systems, allow an
adaptation of the system behavior at runtime based on the current situation. To
do so, they generally select among several pre-defined working points. A common
method to determine working points for a mechatronic system is to use model-based
multiobjective optimization. It allows finding compromises among conflicting objectives,
called objective functions, by adapting parameters. To evaluate the system behavior
for different parameter sets, a model of the system behavior is included in the
objective functions and is evaluated during each function call. Intelligent mechatronic
systems also have the ability to adapt their behavior based on their current reliability,
thus increasing their availability, or on changed safety requirements; all of
which are summed up by the common term dependability. To allow this adaptation,
dependability can be considered in multiobjective optimization by including dependability-related
objective functions. However, whereas performance-related objective functions
are easily found, formulation of dependability-related objective functions is
highly system-specific and not intuitive, making it complex and error-prone. Since
each mechatronic system is different, individual failure modes have to be taken
into account, which need to be found using common methods such as Failure-Modes
and Effects Analysis or Fault Tree Analysis. Using component degradation models,
which again are specific to the system at hand, the main loading factors can be
determined. By including these in the model of the system behavior, the relation
between working point and dependability can be formulated as an objective function.
In our work, this approach is presented in more detail. It is exemplified using
an actively actuated single plate dry clutch system. Results show that this approach
is suitable for formulating dependability-related objective functions and that
these can be used to extend system lifetime by adapting system behavior.
author:
- first_name: Tobias
full_name: Meyer , Tobias
last_name: 'Meyer '
- first_name: Christoph
full_name: Sondermann-Wölke, Christoph
last_name: Sondermann-Wölke
- first_name: Walter
full_name: Sextro, Walter
id: '21220'
last_name: Sextro
citation:
ama: Meyer T, Sondermann-Wölke C, Sextro W. Method to Identify Dependability Objectives
in Multiobjective Optimization Problem. Conference Proceedings of the 2nd International
Conference on System-Integrated Intelligence. 2014;15:46-53. doi:10.1016/j.protcy.2014.09.033
apa: Meyer , T., Sondermann-Wölke, C., & Sextro, W. (2014). Method to Identify
Dependability Objectives in Multiobjective Optimization Problem. Conference
Proceedings of the 2nd International Conference on System-Integrated Intelligence,
15, 46–53. https://doi.org/10.1016/j.protcy.2014.09.033
bibtex: '@article{Meyer _Sondermann-Wölke_Sextro_2014, title={Method to Identify
Dependability Objectives in Multiobjective Optimization Problem}, volume={15},
DOI={10.1016/j.protcy.2014.09.033},
journal={Conference Proceedings of the 2nd International Conference on System-Integrated
Intelligence}, author={Meyer , Tobias and Sondermann-Wölke, Christoph and Sextro,
Walter}, year={2014}, pages={46–53} }'
chicago: 'Meyer , Tobias, Christoph Sondermann-Wölke, and Walter Sextro. “Method
to Identify Dependability Objectives in Multiobjective Optimization Problem.”
Conference Proceedings of the 2nd International Conference on System-Integrated
Intelligence 15 (2014): 46–53. https://doi.org/10.1016/j.protcy.2014.09.033.'
ieee: T. Meyer , C. Sondermann-Wölke, and W. Sextro, “Method to Identify Dependability
Objectives in Multiobjective Optimization Problem,” Conference Proceedings
of the 2nd International Conference on System-Integrated Intelligence, vol.
15, pp. 46–53, 2014.
mla: Meyer , Tobias, et al. “Method to Identify Dependability Objectives in Multiobjective
Optimization Problem.” Conference Proceedings of the 2nd International Conference
on System-Integrated Intelligence, vol. 15, 2014, pp. 46–53, doi:10.1016/j.protcy.2014.09.033.
short: T. Meyer , C. Sondermann-Wölke, W. Sextro, Conference Proceedings of the
2nd International Conference on System-Integrated Intelligence 15 (2014) 46–53.
date_created: 2019-05-20T13:19:37Z
date_updated: 2019-09-16T10:22:04Z
department:
- _id: '151'
doi: 10.1016/j.protcy.2014.09.033
intvolume: ' 15'
keyword:
- Self-optimization
- multiobjective optimization
- objective function
- dependability
- intelligent system
- behavior adaptation
language:
- iso: eng
page: 46-53
publication: Conference Proceedings of the 2nd International Conference on System-Integrated
Intelligence
quality_controlled: '1'
status: public
title: Method to Identify Dependability Objectives in Multiobjective Optimization
Problem
type: journal_article
user_id: '55222'
volume: 15
year: '2014'
...
---
_id: '10677'
author:
- first_name: Nam
full_name: Ho, Nam
last_name: Ho
- first_name: Paul
full_name: Kaufmann, Paul
last_name: Kaufmann
- first_name: Marco
full_name: Platzner, Marco
id: '398'
last_name: Platzner
citation:
ama: 'Ho N, Kaufmann P, Platzner M. Towards self-adaptive caches: A run-time reconfigurable
multi-core infrastructure. In: 2014 {IEEE} Intl. Conf. on Evolvable Systems
(ICES). ; 2014:31-37. doi:10.1109/ICES.2014.7008719'
apa: 'Ho, N., Kaufmann, P., & Platzner, M. (2014). Towards self-adaptive caches:
A run-time reconfigurable multi-core infrastructure. In 2014 {IEEE} Intl. Conf.
on Evolvable Systems (ICES) (pp. 31–37). https://doi.org/10.1109/ICES.2014.7008719'
bibtex: '@inproceedings{Ho_Kaufmann_Platzner_2014, title={Towards self-adaptive
caches: A run-time reconfigurable multi-core infrastructure}, DOI={10.1109/ICES.2014.7008719},
booktitle={2014 {IEEE} Intl. Conf. on Evolvable Systems (ICES)}, author={Ho, Nam
and Kaufmann, Paul and Platzner, Marco}, year={2014}, pages={31–37} }'
chicago: 'Ho, Nam, Paul Kaufmann, and Marco Platzner. “Towards Self-Adaptive Caches:
A Run-Time Reconfigurable Multi-Core Infrastructure.” In 2014 {IEEE} Intl.
Conf. on Evolvable Systems (ICES), 31–37, 2014. https://doi.org/10.1109/ICES.2014.7008719.'
ieee: 'N. Ho, P. Kaufmann, and M. Platzner, “Towards self-adaptive caches: A run-time
reconfigurable multi-core infrastructure,” in 2014 {IEEE} Intl. Conf. on Evolvable
Systems (ICES), 2014, pp. 31–37.'
mla: 'Ho, Nam, et al. “Towards Self-Adaptive Caches: A Run-Time Reconfigurable Multi-Core
Infrastructure.” 2014 {IEEE} Intl. Conf. on Evolvable Systems (ICES), 2014,
pp. 31–37, doi:10.1109/ICES.2014.7008719.'
short: 'N. Ho, P. Kaufmann, M. Platzner, in: 2014 {IEEE} Intl. Conf. on Evolvable
Systems (ICES), 2014, pp. 31–37.'
date_created: 2019-07-10T11:23:00Z
date_updated: 2022-01-06T06:50:49Z
department:
- _id: '78'
doi: 10.1109/ICES.2014.7008719
keyword:
- Linux
- cache storage
- embedded systems
- granular computing
- multiprocessing systems
- reconfigurable architectures
- Leon3 SPARe processor
- custom logic events
- evolvable-self-adaptable processor cache
- fine granular profiling
- integer unit events
- measurement infrastructure
- microarchitectural events
- multicore embedded system
- perf_event standard Linux performance measurement interface
- processor properties
- run-time reconfigurable memory-to-cache address mapping engine
- run-time reconfigurable multicore infrastructure
- split-level caching
- Field programmable gate arrays
- Frequency locked loops
- Irrigation
- Phasor measurement units
- Registers
- Weaving
language:
- iso: eng
page: 31-37
publication: 2014 {IEEE} Intl. Conf. on Evolvable Systems (ICES)
status: public
title: 'Towards self-adaptive caches: A run-time reconfigurable multi-core infrastructure'
type: conference
user_id: '3118'
year: '2014'
...
---
_id: '13324'
abstract:
- lang: eng
text: 'The new technological enhancements and the accessibility to varieties of
online applications, enable users to collect personal data and perform self-evaluation
through test, comparison and experimentation. The sparked interest in numbers
and numbers as self-representative visualisations is prominent in social networking
sites, which are the empirical setting for the present study. This paper sets
out to establish a multi-theoretical framework which enables the investigation
of emerging phenomena of the role of numbers in social networking sites. The proposed
framework rests on three theoretical pillars: self-determination theory, heuristic
decision making and behavioural economics. A discussion departs from these convictions
to investigate user reactions and behaviour when faced with numerical representations
in the SNS.'
author:
- first_name: Mimmi
full_name: Sjöklint, Mimmi
last_name: Sjöklint
- first_name: Ioanna
full_name: Constantiou, Ioanna
last_name: Constantiou
- first_name: Matthias
full_name: Trier, Matthias
id: '72744'
last_name: Trier
citation:
ama: 'Sjöklint M, Constantiou I, Trier M. Numerical Representations and User Behaviour
in Social Networking Sites: Towards a Multi- Theoretical Research Framework. In:
ECIS 2013 Proceedings. Association for Information Systems. AIS Electronic
Library (AISeL); 2013.'
apa: 'Sjöklint, M., Constantiou, I., & Trier, M. (2013). Numerical Representations
and User Behaviour in Social Networking Sites: Towards a Multi- Theoretical Research
Framework. In ECIS 2013 Proceedings. Association for Information Systems.
AIS Electronic Library (AISeL).'
bibtex: '@inproceedings{Sjöklint_Constantiou_Trier_2013, title={Numerical Representations
and User Behaviour in Social Networking Sites: Towards a Multi- Theoretical Research
Framework}, booktitle={ECIS 2013 Proceedings}, publisher={Association for Information
Systems. AIS Electronic Library (AISeL)}, author={Sjöklint, Mimmi and Constantiou,
Ioanna and Trier, Matthias}, year={2013} }'
chicago: 'Sjöklint, Mimmi, Ioanna Constantiou, and Matthias Trier. “Numerical Representations
and User Behaviour in Social Networking Sites: Towards a Multi- Theoretical Research
Framework.” In ECIS 2013 Proceedings. Association for Information Systems.
AIS Electronic Library (AISeL), 2013.'
ieee: 'M. Sjöklint, I. Constantiou, and M. Trier, “Numerical Representations and
User Behaviour in Social Networking Sites: Towards a Multi- Theoretical Research
Framework,” in ECIS 2013 Proceedings, 2013.'
mla: 'Sjöklint, Mimmi, et al. “Numerical Representations and User Behaviour in Social
Networking Sites: Towards a Multi- Theoretical Research Framework.” ECIS 2013
Proceedings, Association for Information Systems. AIS Electronic Library (AISeL),
2013.'
short: 'M. Sjöklint, I. Constantiou, M. Trier, in: ECIS 2013 Proceedings, Association
for Information Systems. AIS Electronic Library (AISeL), 2013.'
date_created: 2019-09-19T12:14:55Z
date_updated: 2022-01-06T06:51:33Z
department:
- _id: '198'
keyword:
- User Behaviour
- Social Networking Sites
- Numerical Representations
- Multi-Theoretical Framework
- Quantified Self
- Pointification
language:
- iso: eng
publication: ECIS 2013 Proceedings
publication_identifier:
isbn:
- '9783834924421'
publisher: Association for Information Systems. AIS Electronic Library (AISeL)
status: public
title: 'Numerical Representations and User Behaviour in Social Networking Sites: Towards
a Multi- Theoretical Research Framework'
type: conference
user_id: '62809'
year: '2013'
...
---
_id: '11832'
abstract:
- lang: eng
text: In this paper we propose an approach to retrieve the absolute geometry of
an acoustic sensor network, consisting of spatially distributed microphone arrays,
from reverberant speech input. The calibration relies on direction of arrival
measurements of the individual arrays. The proposed calibration algorithm is derived
from a maximum-likelihood approach employing circular statistics. Since a sensor
node consists of a microphone array with known intra-array geometry, we are able
to obtain an absolute geometry estimate, including angles and distances. Simulation
results demonstrate the effectiveness of the approach.
author:
- first_name: Florian
full_name: Jacob, Florian
last_name: Jacob
- 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: 'Jacob F, Schmalenstroeer J, Haeb-Umbach R. DoA-Based Microphone Array Position
Self-Calibration Using Circular Statistic. In: 38th International Conference
on Acoustics, Speech, and Signal Processing (ICASSP 2013). ; 2013:116-120.
doi:10.1109/ICASSP.2013.6637620'
apa: Jacob, F., Schmalenstroeer, J., & Haeb-Umbach, R. (2013). DoA-Based Microphone
Array Position Self-Calibration Using Circular Statistic. 38th International
Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013), 116–120.
https://doi.org/10.1109/ICASSP.2013.6637620
bibtex: '@inproceedings{Jacob_Schmalenstroeer_Haeb-Umbach_2013, title={DoA-Based
Microphone Array Position Self-Calibration Using Circular Statistic}, DOI={10.1109/ICASSP.2013.6637620},
booktitle={38th International Conference on Acoustics, Speech, and Signal Processing
(ICASSP 2013)}, author={Jacob, Florian and Schmalenstroeer, Joerg and Haeb-Umbach,
Reinhold}, year={2013}, pages={116–120} }'
chicago: Jacob, Florian, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. “DoA-Based
Microphone Array Position Self-Calibration Using Circular Statistic.” In 38th
International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013),
116–20, 2013. https://doi.org/10.1109/ICASSP.2013.6637620.
ieee: 'F. Jacob, J. Schmalenstroeer, and R. Haeb-Umbach, “DoA-Based Microphone Array
Position Self-Calibration Using Circular Statistic,” in 38th International
Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013), 2013,
pp. 116–120, doi: 10.1109/ICASSP.2013.6637620.'
mla: Jacob, Florian, et al. “DoA-Based Microphone Array Position Self-Calibration
Using Circular Statistic.” 38th International Conference on Acoustics, Speech,
and Signal Processing (ICASSP 2013), 2013, pp. 116–20, doi:10.1109/ICASSP.2013.6637620.
short: 'F. Jacob, J. Schmalenstroeer, R. Haeb-Umbach, in: 38th International Conference
on Acoustics, Speech, and Signal Processing (ICASSP 2013), 2013, pp. 116–120.'
date_created: 2019-07-12T05:29:07Z
date_updated: 2023-10-26T08:11:12Z
department:
- _id: '54'
doi: 10.1109/ICASSP.2013.6637620
keyword:
- Geometry calibration
- microphone arrays
- position self-calibration
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2013/JacSchHae_ICASSP2013_Rev2.pdf
oa: '1'
page: 116-120
publication: 38th International Conference on Acoustics, Speech, and Signal Processing
(ICASSP 2013)
publication_identifier:
issn:
- 1520-6149
quality_controlled: '1'
related_material:
link:
- description: Presentation
relation: supplementary_material
url: https://groups.uni-paderborn.de/nt/pubs/2013/JaScHa13_Presentation.pdf
status: public
title: DoA-Based Microphone Array Position Self-Calibration Using Circular Statistic
type: conference
user_id: '460'
year: '2013'
...
---
_id: '37109'
abstract:
- lang: eng
text: This study examines the effect of audit on private firms’ cost of debt. We
use a sample of 1,949 small private firms operating in the period 2006-2010 with
optional financial statement audit. High quality data allows us to construct a
more precise interest rate measure than existing studies employ. After controlling
for obvious sources of demand for voluntary audits (ownership complexity, subsidiary
status, bank relations), we find a robust central result that voluntary audits
increase rather than decrease the cost of debt financing, contrary to several
existing studies. This finding indicates that voluntary audits are generally treated
as “adopting a label” and penalised by creditors, regardless of the perceived
auditor quality as a result of the lemon problem in the audit market. Even Big-4
audits increase the cost of debt, likely as a result due to the lemon problem
in the audit market, although the increase is smaller than for non-Big-4 audits.
The results are sensitive to the estimation method used (OLS, Heckman’s two-step,
PSM) and (sub-)sample selection. We show that disregarding the underlying assumptions
of these estimation methods may lead to incorrect inferences. Additional analyses
show that audited firms’ reported earnings are less informative about future operating
performance than earnings of their unaudited counterparts. Our results also indicate
that results are sensitive to cost of debt definition and this might have affected
the results reported in the existing literature.
author:
- first_name: Urska
full_name: Kosi, Urska
id: '54068'
last_name: Kosi
- first_name: Jerney
full_name: Koren, Jerney
last_name: Koren
- first_name: Aljosa
full_name: Valentincic, Aljosa
last_name: Valentincic
citation:
ama: 'Kosi U, Koren J, Valentincic A. Does Financial Statement Audit Reduce the
Cost of Debt of Private Firms? In: ; 2013.'
apa: Kosi, U., Koren, J., & Valentincic, A. (2013). Does Financial Statement
Audit Reduce the Cost of Debt of Private Firms? 36th Annual Congress of European
Accounting Association, Paris, France.
bibtex: '@inproceedings{Kosi_Koren_Valentincic_2013, title={Does Financial Statement
Audit Reduce the Cost of Debt of Private Firms?}, author={Kosi, Urska and Koren,
Jerney and Valentincic, Aljosa}, year={2013} }'
chicago: Kosi, Urska, Jerney Koren, and Aljosa Valentincic. “Does Financial Statement
Audit Reduce the Cost of Debt of Private Firms?,” 2013.
ieee: U. Kosi, J. Koren, and A. Valentincic, “Does Financial Statement Audit Reduce
the Cost of Debt of Private Firms?,” presented at the 36th Annual Congress of
European Accounting Association, Paris, France, 2013.
mla: Kosi, Urska, et al. Does Financial Statement Audit Reduce the Cost of Debt
of Private Firms? 2013.
short: 'U. Kosi, J. Koren, A. Valentincic, in: 2013.'
conference:
end_date: 2013-05-05
location: Paris, France
name: 36th Annual Congress of European Accounting Association
start_date: 2013-05-02
date_created: 2023-01-17T13:25:30Z
date_updated: 2023-01-17T13:51:24Z
department:
- _id: '635'
- _id: '186'
- _id: '551'
extern: '1'
keyword:
- private firms
- voluntary audit
- cost of debt
- self-selection bias
- lemon problem
language:
- iso: eng
main_file_link:
- url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2373987
status: public
title: Does Financial Statement Audit Reduce the Cost of Debt of Private Firms?
type: conference
user_id: '88603'
year: '2013'
...
---
_id: '22737'
author:
- first_name: Matthias
full_name: Becker, Matthias
last_name: Becker
- first_name: Markus
full_name: Luckey, Markus
last_name: Luckey
- first_name: Steffen
full_name: Becker, Steffen
last_name: Becker
citation:
ama: 'Becker M, Luckey M, Becker S. Model-driven Performance Engineering of Self-adaptive
Systems: A Survey. In: {Proceedings of the 8th International ACM SIGSOFT Conference
on Quality of Software Architectures (QoSA)}. New York, NY, USA: ACM; 2012:117-122.
doi:10.1145/2304696.2304716'
apa: 'Becker, M., Luckey, M., & Becker, S. (2012). Model-driven Performance
Engineering of Self-adaptive Systems: A Survey. In {Proceedings of the 8th
International ACM SIGSOFT Conference on Quality of Software Architectures (QoSA)}
(pp. 117–122). New York, NY, USA: ACM. https://doi.org/10.1145/2304696.2304716'
bibtex: '@inproceedings{Becker_Luckey_Becker_2012, place={New York, NY, USA}, title={Model-driven
Performance Engineering of Self-adaptive Systems: A Survey}, DOI={10.1145/2304696.2304716},
booktitle={{Proceedings of the 8th International ACM SIGSOFT Conference on Quality
of Software Architectures (QoSA)}}, publisher={ACM}, author={Becker, Matthias
and Luckey, Markus and Becker, Steffen}, year={2012}, pages={117–122} }'
chicago: 'Becker, Matthias, Markus Luckey, and Steffen Becker. “Model-Driven Performance
Engineering of Self-Adaptive Systems: A Survey.” In {Proceedings of the 8th
International ACM SIGSOFT Conference on Quality of Software Architectures (QoSA)},
117–22. New York, NY, USA: ACM, 2012. https://doi.org/10.1145/2304696.2304716.'
ieee: 'M. Becker, M. Luckey, and S. Becker, “Model-driven Performance Engineering
of Self-adaptive Systems: A Survey,” in {Proceedings of the 8th International
ACM SIGSOFT Conference on Quality of Software Architectures (QoSA)}, 2012,
pp. 117–122.'
mla: 'Becker, Matthias, et al. “Model-Driven Performance Engineering of Self-Adaptive
Systems: A Survey.” {Proceedings of the 8th International ACM SIGSOFT Conference
on Quality of Software Architectures (QoSA)}, ACM, 2012, pp. 117–22, doi:10.1145/2304696.2304716.'
short: 'M. Becker, M. Luckey, S. Becker, in: {Proceedings of the 8th International
ACM SIGSOFT Conference on Quality of Software Architectures (QoSA)}, ACM, New
York, NY, USA, 2012, pp. 117–122.'
date_created: 2021-07-15T08:38:08Z
date_updated: 2022-01-06T06:55:39Z
doi: 10.1145/2304696.2304716
keyword:
- model-driven performance engineering
- self-*
- Self-adaptation
- software performance
page: 117-122
place: New York, NY, USA
publication: '{Proceedings of the 8th International ACM SIGSOFT Conference on Quality
of Software Architectures (QoSA)}'
publication_identifier:
isbn:
- 978-1-4503-1346-9
publisher: ACM
status: public
title: 'Model-driven Performance Engineering of Self-adaptive Systems: A Survey'
type: conference
user_id: '4870'
year: '2012'
...
---
_id: '5718'
abstract:
- lang: eng
text: The role of information and communication technology for economic growth has
been emphasized repeatedly. Technological breakthroughs have generated new forms
of services, such as self-services or remote services. Although these encounters
are qualitatively different from traditional service provision, prior service
management literature thus far had paid little attention to theory development
and the systematization of technology-based service encounters. To fill this research
gap, the present study outlines how new types of technology-based services fit
into existing service typologies and provides an extension of existing frameworks
to capture their unique characteristics. These insights in turn offer managerial
implications and highlight open research questions.
article_type: original
author:
- first_name: Jan H
full_name: Schumann, Jan H
last_name: Schumann
- first_name: Nancy
full_name: Wünderlich, Nancy
id: '36392'
last_name: Wünderlich
- first_name: Florian
full_name: Wangenheim, Florian
last_name: Wangenheim
citation:
ama: 'Schumann JH, Wünderlich N, Wangenheim F. Technology Mediation in Service Delivery:
A New Typology and an Agenda for Managers and Academics. Technovation.
2012;32(2):133-143.'
apa: 'Schumann, J. H., Wünderlich, N., & Wangenheim, F. (2012). Technology Mediation
in Service Delivery: A New Typology and an Agenda for Managers and Academics.
Technovation, 32(2), 133–143.'
bibtex: '@article{Schumann_Wünderlich_Wangenheim_2012, title={Technology Mediation
in Service Delivery: A New Typology and an Agenda for Managers and Academics.},
volume={32}, number={2}, journal={Technovation}, publisher={Elsevier}, author={Schumann,
Jan H and Wünderlich, Nancy and Wangenheim, Florian}, year={2012}, pages={133–143}
}'
chicago: 'Schumann, Jan H, Nancy Wünderlich, and Florian Wangenheim. “Technology
Mediation in Service Delivery: A New Typology and an Agenda for Managers and Academics.”
Technovation 32, no. 2 (2012): 133–43.'
ieee: 'J. H. Schumann, N. Wünderlich, and F. Wangenheim, “Technology Mediation in
Service Delivery: A New Typology and an Agenda for Managers and Academics.,” Technovation,
vol. 32, no. 2, pp. 133–143, 2012.'
mla: 'Schumann, Jan H., et al. “Technology Mediation in Service Delivery: A New
Typology and an Agenda for Managers and Academics.” Technovation, vol.
32, no. 2, Elsevier, 2012, pp. 133–43.'
short: J.H. Schumann, N. Wünderlich, F. Wangenheim, Technovation 32 (2012) 133–143.
date_created: 2018-11-16T09:43:45Z
date_updated: 2022-01-06T07:02:37Z
department:
- _id: '181'
intvolume: ' 32'
issue: '2'
keyword:
- Services
- Remote services
- Self-services
- Technology mediation
language:
- iso: eng
page: 133-143
publication: Technovation
publication_status: published
publisher: Elsevier
status: public
title: 'Technology Mediation in Service Delivery: A New Typology and an Agenda for
Managers and Academics.'
type: journal_article
user_id: '37741'
volume: 32
year: '2012'
...
---
_id: '9783'
abstract:
- lang: eng
text: To optimize the ultrasound irradiation for cavitation based ultrasound applications
like sonochemistry or ultrasound cleaning, the correlation between cavitation
intensity and the resulting effect on the process is of interest. Furthermore,
changing conditions like temperature and pressure result in varying acoustic properties
of the liquid. That might necessitate an adaption of the ultrasound irradiation.
To detect such changes during operation, process monitoring is desired. Labor
intensive processes, that might be carried out for several hours, also require
process monitoring to increase their reliability by detection of changes or malfunctions
during operation. In some applications cavitation detection and monitoring can
be achieved by the application of sensors in the sound field. Though the application
of sensors is possible, this necessitates modifications on the system and the
sensor might disturb the sound field. In other applications harsh, process conditions
prohibit the application of sensors in the sound field. Therefore alternative
techniques for cavitation detection and monitoring are desired. The applicability
of an external microphone and a self-sensing ultrasound transducer for cavitation
detection were experimentally investigated. Both methods were found to be suitable
and easily applicable.
author:
- first_name: Peter
full_name: Bornmann, Peter
last_name: Bornmann
- first_name: Tobias
full_name: Hemsel, Tobias
id: '210'
last_name: Hemsel
- first_name: Walter
full_name: Sextro, Walter
id: '21220'
last_name: Sextro
- first_name: Takafumi
full_name: Maeda, Takafumi
last_name: Maeda
- first_name: Takeshi
full_name: Morita, Takeshi
last_name: Morita
citation:
ama: 'Bornmann P, Hemsel T, Sextro W, Maeda T, Morita T. Non-perturbing cavitation
detection / monitoring in sonochemical reactors. In: Ultrasonics Symposium
(IUS), 2012 IEEE International. ; 2012:1141-1144. doi:10.1109/ULTSYM.2012.0284'
apa: Bornmann, P., Hemsel, T., Sextro, W., Maeda, T., & Morita, T. (2012). Non-perturbing
cavitation detection / monitoring in sonochemical reactors. In Ultrasonics
Symposium (IUS), 2012 IEEE International (pp. 1141–1144). https://doi.org/10.1109/ULTSYM.2012.0284
bibtex: '@inproceedings{Bornmann_Hemsel_Sextro_Maeda_Morita_2012, title={Non-perturbing
cavitation detection / monitoring in sonochemical reactors}, DOI={10.1109/ULTSYM.2012.0284},
booktitle={Ultrasonics Symposium (IUS), 2012 IEEE International}, author={Bornmann,
Peter and Hemsel, Tobias and Sextro, Walter and Maeda, Takafumi and Morita, Takeshi},
year={2012}, pages={1141–1144} }'
chicago: Bornmann, Peter, Tobias Hemsel, Walter Sextro, Takafumi Maeda, and Takeshi
Morita. “Non-Perturbing Cavitation Detection / Monitoring in Sonochemical Reactors.”
In Ultrasonics Symposium (IUS), 2012 IEEE International, 1141–44, 2012.
https://doi.org/10.1109/ULTSYM.2012.0284.
ieee: P. Bornmann, T. Hemsel, W. Sextro, T. Maeda, and T. Morita, “Non-perturbing
cavitation detection / monitoring in sonochemical reactors,” in Ultrasonics
Symposium (IUS), 2012 IEEE International, 2012, pp. 1141–1144.
mla: Bornmann, Peter, et al. “Non-Perturbing Cavitation Detection / Monitoring in
Sonochemical Reactors.” Ultrasonics Symposium (IUS), 2012 IEEE International,
2012, pp. 1141–44, doi:10.1109/ULTSYM.2012.0284.
short: 'P. Bornmann, T. Hemsel, W. Sextro, T. Maeda, T. Morita, in: Ultrasonics
Symposium (IUS), 2012 IEEE International, 2012, pp. 1141–1144.'
date_created: 2019-05-13T13:18:49Z
date_updated: 2022-01-06T07:04:20Z
department:
- _id: '151'
doi: 10.1109/ULTSYM.2012.0284
keyword:
- cavitation
- chemical reactors
- microphones
- process monitoring
- reliability
- ultrasonic applications
- ultrasonic waves
- acoustic properties
- cavitation based ultrasound applications
- cavitation intensity
- change detection reliability
- external microphone
- malfunction detection reliability
- nonperturbing cavitation detection
- nonperturbing cavitation monitoring
- process monitoring
- self-sensing ultrasound transducer
- sonochemical reactors
- sonochemistry
- ultrasound cleaning
- ultrasound irradiation
- Acoustics
- Liquids
- Monitoring
- Sensors
- Sonar equipment
- Transducers
- Ultrasonic imaging
language:
- iso: eng
page: 1141-1144
publication: Ultrasonics Symposium (IUS), 2012 IEEE International
publication_identifier:
issn:
- 1948-5719
quality_controlled: '1'
status: public
title: Non-perturbing cavitation detection / monitoring in sonochemical reactors
type: conference
user_id: '55222'
year: '2012'
...
---
_id: '9786'
abstract:
- lang: eng
text: Self-optimizing mechatronic systems are a new class of technical systems.
On the one hand, new challenges regarding dependability arise from their additional
complexity and adaptivity. On the other hand, their abilities enable new concepts
and methods to improve the dependability of mechatronic systems. This paper introduces
a multi-level dependability concept for selfoptimizing mechatronic systems and
shows how probabilistic planning can be used to improve the availability and reliability
of systems in the operating phase. The general idea to improve the availability
of autonomous systems by applying probabilistic planning methods to avoid energy
shortages is exemplified on the example of an innovative railway vehicle.
author:
- first_name: Benjamin
full_name: Klöpper, Benjamin
last_name: Klöpper
- first_name: Christoph
full_name: Sondermann-Wölke, Christoph
last_name: Sondermann-Wölke
- first_name: Christoph
full_name: Romaus, Christoph
last_name: Romaus
citation:
ama: Klöpper B, Sondermann-Wölke C, Romaus C. Probabilistic Planning for Predictive
Condition Monitoring and Adaptation Within the Self-Optimizing Energy Management
of an Autonomous Railway Vehicle. Journal of Robotics and Mechatronics.
2012;24(1):5-15.
apa: Klöpper, B., Sondermann-Wölke, C., & Romaus, C. (2012). Probabilistic Planning
for Predictive Condition Monitoring and Adaptation Within the Self-Optimizing
Energy Management of an Autonomous Railway Vehicle. Journal of Robotics and
Mechatronics, 24(1), 5–15.
bibtex: '@article{Klöpper_Sondermann-Wölke_Romaus_2012, title={Probabilistic Planning
for Predictive Condition Monitoring and Adaptation Within the Self-Optimizing
Energy Management of an Autonomous Railway Vehicle}, volume={24}, number={1},
journal={Journal of Robotics and Mechatronics}, author={Klöpper, Benjamin and
Sondermann-Wölke, Christoph and Romaus, Christoph}, year={2012}, pages={5–15}
}'
chicago: 'Klöpper, Benjamin, Christoph Sondermann-Wölke, and Christoph Romaus. “Probabilistic
Planning for Predictive Condition Monitoring and Adaptation Within the Self-Optimizing
Energy Management of an Autonomous Railway Vehicle.” Journal of Robotics and
Mechatronics 24, no. 1 (2012): 5–15.'
ieee: B. Klöpper, C. Sondermann-Wölke, and C. Romaus, “Probabilistic Planning for
Predictive Condition Monitoring and Adaptation Within the Self-Optimizing Energy
Management of an Autonomous Railway Vehicle,” Journal of Robotics and Mechatronics,
vol. 24, no. 1, pp. 5–15, 2012.
mla: Klöpper, Benjamin, et al. “Probabilistic Planning for Predictive Condition
Monitoring and Adaptation Within the Self-Optimizing Energy Management of an Autonomous
Railway Vehicle.” Journal of Robotics and Mechatronics, vol. 24, no. 1,
2012, pp. 5–15.
short: B. Klöpper, C. Sondermann-Wölke, C. Romaus, Journal of Robotics and Mechatronics
24 (2012) 5–15.
date_created: 2019-05-13T13:23:45Z
date_updated: 2022-01-06T07:04:20Z
department:
- _id: '151'
intvolume: ' 24'
issue: '1'
keyword:
- self-optimizing systems
- dependability
- probabilistic planning
- energy management
language:
- iso: eng
page: 5-15
publication: Journal of Robotics and Mechatronics
quality_controlled: '1'
status: public
title: Probabilistic Planning for Predictive Condition Monitoring and Adaptation Within
the Self-Optimizing Energy Management of an Autonomous Railway Vehicle
type: journal_article
user_id: '55222'
volume: 24
year: '2012'
...
---
_id: '11833'
abstract:
- lang: eng
text: In this paper we propose an approach to retrieve the geometry of an acoustic
sensor network consisting of spatially distributed microphone arrays from unconstrained
speech input. The calibration relies on Direction of Arrival (DoA) measurements
which do not require a clock synchronization among the sensor nodes. The calibration
problem is formulated as a cost function optimization task, which minimizes the
squared differences between measured and predicted observations and additionally
avoids the existence of minima that correspond to mirrored versions of the actual
sensor orientations. Further, outlier measurements caused by reverberation are
mitigated by a Random Sample Consensus (RANSAC) approach. The experimental results
show a mean positioning error of at most 25 cm even in highly reverberant environments.
author:
- first_name: Florian
full_name: Jacob, Florian
last_name: Jacob
- 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: 'Jacob F, Schmalenstroeer J, Haeb-Umbach R. Microphone Array Position Self-Calibration
from Reverberant Speech Input. In: International Workshop on Acoustic Signal
Enhancement (IWAENC 2012). ; 2012.'
apa: Jacob, F., Schmalenstroeer, J., & Haeb-Umbach, R. (2012). Microphone Array
Position Self-Calibration from Reverberant Speech Input. International Workshop
on Acoustic Signal Enhancement (IWAENC 2012).
bibtex: '@inproceedings{Jacob_Schmalenstroeer_Haeb-Umbach_2012, title={Microphone
Array Position Self-Calibration from Reverberant Speech Input}, booktitle={International
Workshop on Acoustic Signal Enhancement (IWAENC 2012)}, author={Jacob, Florian
and Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold}, year={2012} }'
chicago: Jacob, Florian, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. “Microphone
Array Position Self-Calibration from Reverberant Speech Input.” In International
Workshop on Acoustic Signal Enhancement (IWAENC 2012), 2012.
ieee: F. Jacob, J. Schmalenstroeer, and R. Haeb-Umbach, “Microphone Array Position
Self-Calibration from Reverberant Speech Input,” 2012.
mla: Jacob, Florian, et al. “Microphone Array Position Self-Calibration from Reverberant
Speech Input.” International Workshop on Acoustic Signal Enhancement (IWAENC
2012), 2012.
short: 'F. Jacob, J. Schmalenstroeer, R. Haeb-Umbach, in: International Workshop
on Acoustic Signal Enhancement (IWAENC 2012), 2012.'
date_created: 2019-07-12T05:29:08Z
date_updated: 2023-10-26T08:10:52Z
department:
- _id: '54'
keyword:
- Unsupervised
- geometry calibration
- microphone arrays
- position self-calibration
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2012/JaScHa12.pdf
oa: '1'
publication: International Workshop on Acoustic Signal Enhancement (IWAENC 2012)
quality_controlled: '1'
related_material:
link:
- description: Video
relation: supplementary_material
url: https://groups.uni-paderborn.de/nt/pubs/2012/Microphine_Array_Position_Self-Calibration_from_Reverberant_Speech_Input.mp4
- description: Poster
relation: supplementary_material
url: https://groups.uni-paderborn.de/nt/pubs/2012/JaScHa12_Poster.pdf
- description: Demonstrator
relation: supplementary_material
url: https://groups.uni-paderborn.de/nt/pubs/2012/JaScHa12_Demonstrator.pdf
status: public
title: Microphone Array Position Self-Calibration from Reverberant Speech Input
type: conference
user_id: '460'
year: '2012'
...
---
_id: '46397'
abstract:
- lang: eng
text: In multiobjective optimization, set-based performance indicators are commonly
used to assess the quality of a Pareto front approximation. Based on the scalarization
obtained by these indicators, a performance comparison of multiobjective optimization
algorithms becomes possible. The R2 and the Hypervolume (HV) indicator represent
two recommended approaches which have shown a correlated behavior in recent empirical
studies. Whereas the HV indicator has been comprehensively analyzed in the last
years, almost no studies on the R2 indicator exist. In this paper, we thus perform
a comprehensive investigation of the properties of the R2 indicator in a theoretical
and empirical way. The influence of the number and distribution of the weight
vectors on the optimal distribution of μ solutions is analyzed. Based on a comparative
analysis, specific characteristics and differences of the R2 and HV indicator
are presented.
author:
- first_name: Dimo
full_name: Brockhoff, Dimo
last_name: Brockhoff
- first_name: Tobias
full_name: Wagner, Tobias
last_name: Wagner
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
citation:
ama: 'Brockhoff D, Wagner T, Trautmann H. On the Properties of the R2 Indicator.
In: Proceedings of the 14th Annual Conference on Genetic and Evolutionary Computation.
GECCO ’12. Association for Computing Machinery; 2012:465–472. doi:10.1145/2330163.2330230'
apa: Brockhoff, D., Wagner, T., & Trautmann, H. (2012). On the Properties of
the R2 Indicator. Proceedings of the 14th Annual Conference on Genetic and
Evolutionary Computation, 465–472. https://doi.org/10.1145/2330163.2330230
bibtex: '@inproceedings{Brockhoff_Wagner_Trautmann_2012, place={New York, NY, USA},
series={GECCO ’12}, title={On the Properties of the R2 Indicator}, DOI={10.1145/2330163.2330230},
booktitle={Proceedings of the 14th Annual Conference on Genetic and Evolutionary
Computation}, publisher={Association for Computing Machinery}, author={Brockhoff,
Dimo and Wagner, Tobias and Trautmann, Heike}, year={2012}, pages={465–472}, collection={GECCO
’12} }'
chicago: 'Brockhoff, Dimo, Tobias Wagner, and Heike Trautmann. “On the Properties
of the R2 Indicator.” In Proceedings of the 14th Annual Conference on Genetic
and Evolutionary Computation, 465–472. GECCO ’12. New York, NY, USA: Association
for Computing Machinery, 2012. https://doi.org/10.1145/2330163.2330230.'
ieee: 'D. Brockhoff, T. Wagner, and H. Trautmann, “On the Properties of the R2 Indicator,”
in Proceedings of the 14th Annual Conference on Genetic and Evolutionary Computation,
2012, pp. 465–472, doi: 10.1145/2330163.2330230.'
mla: Brockhoff, Dimo, et al. “On the Properties of the R2 Indicator.” Proceedings
of the 14th Annual Conference on Genetic and Evolutionary Computation, Association
for Computing Machinery, 2012, pp. 465–472, doi:10.1145/2330163.2330230.
short: 'D. Brockhoff, T. Wagner, H. Trautmann, in: Proceedings of the 14th Annual
Conference on Genetic and Evolutionary Computation, Association for Computing
Machinery, New York, NY, USA, 2012, pp. 465–472.'
date_created: 2023-08-04T15:52:42Z
date_updated: 2023-10-16T13:47:23Z
department:
- _id: '34'
- _id: '819'
doi: 10.1145/2330163.2330230
keyword:
- hypervolume indicator
- multiobjective optimization
- performance assessment
- r2 indicator
language:
- iso: eng
page: 465–472
place: New York, NY, USA
publication: Proceedings of the 14th Annual Conference on Genetic and Evolutionary
Computation
publication_identifier:
isbn:
- '9781450311779'
publisher: Association for Computing Machinery
series_title: GECCO ’12
status: public
title: On the Properties of the R2 Indicator
type: conference
user_id: '15504'
year: '2012'
...
---
_id: '46396'
abstract:
- lang: eng
text: The steady supply of new optimization methods makes the algorithm selection
problem (ASP) an increasingly pressing and challenging task, specially for real-world
black-box optimization problems. The introduced approach considers the ASP as
a cost-sensitive classification task which is based on Exploratory Landscape Analysis.
Low-level features gathered by systematic sampling of the function on the feasible
set are used to predict a well-performing algorithm out of a given portfolio.
Example-specific label costs are defined by the expected runtime of each candidate
algorithm. We use one-sided support vector regression to solve this learning problem.
The approach is illustrated by means of the optimization problems and algorithms
of the BBOB’09/10 workshop.
author:
- first_name: Bernd
full_name: Bischl, Bernd
last_name: Bischl
- first_name: Olaf
full_name: Mersmann, Olaf
last_name: Mersmann
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
- first_name: Mike
full_name: Preuß, Mike
last_name: Preuß
citation:
ama: 'Bischl B, Mersmann O, Trautmann H, Preuß M. Algorithm Selection Based on Exploratory
Landscape Analysis and Cost-Sensitive Learning. In: Proceedings of the 14th
Annual Conference on Genetic and Evolutionary Computation. GECCO ’12. Association
for Computing Machinery; 2012:313–320. doi:10.1145/2330163.2330209'
apa: Bischl, B., Mersmann, O., Trautmann, H., & Preuß, M. (2012). Algorithm
Selection Based on Exploratory Landscape Analysis and Cost-Sensitive Learning.
Proceedings of the 14th Annual Conference on Genetic and Evolutionary Computation,
313–320. https://doi.org/10.1145/2330163.2330209
bibtex: '@inproceedings{Bischl_Mersmann_Trautmann_Preuß_2012, place={New York, NY,
USA}, series={GECCO ’12}, title={Algorithm Selection Based on Exploratory Landscape
Analysis and Cost-Sensitive Learning}, DOI={10.1145/2330163.2330209},
booktitle={Proceedings of the 14th Annual Conference on Genetic and Evolutionary
Computation}, publisher={Association for Computing Machinery}, author={Bischl,
Bernd and Mersmann, Olaf and Trautmann, Heike and Preuß, Mike}, year={2012}, pages={313–320},
collection={GECCO ’12} }'
chicago: 'Bischl, Bernd, Olaf Mersmann, Heike Trautmann, and Mike Preuß. “Algorithm
Selection Based on Exploratory Landscape Analysis and Cost-Sensitive Learning.”
In Proceedings of the 14th Annual Conference on Genetic and Evolutionary Computation,
313–320. GECCO ’12. New York, NY, USA: Association for Computing Machinery, 2012.
https://doi.org/10.1145/2330163.2330209.'
ieee: 'B. Bischl, O. Mersmann, H. Trautmann, and M. Preuß, “Algorithm Selection
Based on Exploratory Landscape Analysis and Cost-Sensitive Learning,” in Proceedings
of the 14th Annual Conference on Genetic and Evolutionary Computation, 2012,
pp. 313–320, doi: 10.1145/2330163.2330209.'
mla: Bischl, Bernd, et al. “Algorithm Selection Based on Exploratory Landscape Analysis
and Cost-Sensitive Learning.” Proceedings of the 14th Annual Conference on
Genetic and Evolutionary Computation, Association for Computing Machinery,
2012, pp. 313–320, doi:10.1145/2330163.2330209.
short: 'B. Bischl, O. Mersmann, H. Trautmann, M. Preuß, in: Proceedings of the 14th
Annual Conference on Genetic and Evolutionary Computation, Association for Computing
Machinery, New York, NY, USA, 2012, pp. 313–320.'
date_created: 2023-08-04T15:51:56Z
date_updated: 2023-10-16T13:48:48Z
department:
- _id: '34'
- _id: '819'
doi: 10.1145/2330163.2330209
keyword:
- machine learning
- exploratory landscape analysis
- fitness landscape
- benchmarking
- evolutionary optimization
- bbob test set
- algorithm selection
language:
- iso: eng
page: 313–320
place: New York, NY, USA
publication: Proceedings of the 14th Annual Conference on Genetic and Evolutionary
Computation
publication_identifier:
isbn:
- '9781450311779'
publisher: Association for Computing Machinery
series_title: GECCO ’12
status: public
title: Algorithm Selection Based on Exploratory Landscape Analysis and Cost-Sensitive
Learning
type: conference
user_id: '15504'
year: '2012'
...
---
_id: '46401'
abstract:
- lang: eng
text: Exploratory Landscape Analysis subsumes a number of techniques employed to
obtain knowledge about the properties of an unknown optimization problem, especially
insofar as these properties are important for the performance of optimization
algorithms. Where in a first attempt, one could rely on high-level features designed
by experts, we approach the problem from a different angle here, namely by using
relatively cheap low-level computer generated features. Interestingly, very few
features are needed to separate the BBOB problem groups and also for relating
a problem to high-level, expert designed features, paving the way for automatic
algorithm selection.
author:
- first_name: Olaf
full_name: Mersmann, Olaf
last_name: Mersmann
- first_name: Bernd
full_name: Bischl, Bernd
last_name: Bischl
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
- first_name: Mike
full_name: Preuss, Mike
last_name: Preuss
- first_name: Claus
full_name: Weihs, Claus
last_name: Weihs
- first_name: Günter
full_name: Rudolph, Günter
last_name: Rudolph
citation:
ama: 'Mersmann O, Bischl B, Trautmann H, Preuss M, Weihs C, Rudolph G. Exploratory
Landscape Analysis. In: Proceedings of the 13th Annual Conference on Genetic
and Evolutionary Computation. GECCO ’11. Association for Computing Machinery;
2011:829–836. doi:10.1145/2001576.2001690'
apa: Mersmann, O., Bischl, B., Trautmann, H., Preuss, M., Weihs, C., & Rudolph,
G. (2011). Exploratory Landscape Analysis. Proceedings of the 13th Annual Conference
on Genetic and Evolutionary Computation, 829–836. https://doi.org/10.1145/2001576.2001690
bibtex: '@inproceedings{Mersmann_Bischl_Trautmann_Preuss_Weihs_Rudolph_2011, place={New
York, NY, USA}, series={GECCO ’11}, title={Exploratory Landscape Analysis}, DOI={10.1145/2001576.2001690}, booktitle={Proceedings
of the 13th Annual Conference on Genetic and Evolutionary Computation}, publisher={Association
for Computing Machinery}, author={Mersmann, Olaf and Bischl, Bernd and Trautmann,
Heike and Preuss, Mike and Weihs, Claus and Rudolph, Günter}, year={2011}, pages={829–836},
collection={GECCO ’11} }'
chicago: 'Mersmann, Olaf, Bernd Bischl, Heike Trautmann, Mike Preuss, Claus Weihs,
and Günter Rudolph. “Exploratory Landscape Analysis.” In Proceedings of the
13th Annual Conference on Genetic and Evolutionary Computation, 829–836. GECCO
’11. New York, NY, USA: Association for Computing Machinery, 2011. https://doi.org/10.1145/2001576.2001690.'
ieee: 'O. Mersmann, B. Bischl, H. Trautmann, M. Preuss, C. Weihs, and G. Rudolph,
“Exploratory Landscape Analysis,” in Proceedings of the 13th Annual Conference
on Genetic and Evolutionary Computation, 2011, pp. 829–836, doi: 10.1145/2001576.2001690.'
mla: Mersmann, Olaf, et al. “Exploratory Landscape Analysis.” Proceedings of
the 13th Annual Conference on Genetic and Evolutionary Computation, Association
for Computing Machinery, 2011, pp. 829–836, doi:10.1145/2001576.2001690.
short: 'O. Mersmann, B. Bischl, H. Trautmann, M. Preuss, C. Weihs, G. Rudolph, in:
Proceedings of the 13th Annual Conference on Genetic and Evolutionary Computation,
Association for Computing Machinery, New York, NY, USA, 2011, pp. 829–836.'
date_created: 2023-08-04T15:58:22Z
date_updated: 2023-10-16T13:54:34Z
department:
- _id: '34'
- _id: '819'
doi: 10.1145/2001576.2001690
keyword:
- exploratory landscape analysis
- evolutionary optimization
- fitness landscape
- benchmarking
- BBOB test set
language:
- iso: eng
page: 829–836
place: New York, NY, USA
publication: Proceedings of the 13th Annual Conference on Genetic and Evolutionary
Computation
publication_identifier:
isbn:
- '9781450305570'
publisher: Association for Computing Machinery
series_title: GECCO ’11
status: public
title: Exploratory Landscape Analysis
type: conference
user_id: '15504'
year: '2011'
...
---
_id: '23858'
abstract:
- lang: eng
text: A large proportion of plastics today is compounded, which means the process
from refining a raw material to the processable material. For this process compounding
extruders are used which mostly involve tightly intermeshing, co-rotating twin
screw extruders. These extruders consist of two closely spaced screws which rotate
in the same direction and convey the raw material to the screw tip. These screws
are surrounded by several barrel modules which heat or cool the material. As the
whole design of the machine is modularly arranged the process behavior of a twin
screw extruder depends for the main part on the arrangement of the screw and the
barrel elements. Until today this arrangement and process optimization is conducted
by experienced engineers and with the help of trial-and-error methods. Furthermore,
theoretical models are used with which the behavior of the extruder is estimated.
As these models are mostly very complex they are only made available with the
realization in different software projects. One of the tools is called SIGMA.
Within this paper SIGMA is introduced as a software to optimize a twin screw extruder.
SIGMA supports the engineer already in the early stages of the extruder arrangement.
author:
- first_name: Nils
full_name: Kretzschmar, Nils
id: '15387'
last_name: Kretzschmar
- first_name: Volker
full_name: Schöppner, Volker
id: '20530'
last_name: Schöppner
citation:
ama: 'Kretzschmar N, Schöppner V. Simulating Tightly Intermeshing, Co-Rotating Twin
Screw Extruders with SIGMA. In: Proceedings of the 2010 Summer Computer Simulation
Conference. SCSC ’10. San Diego, CA, USA: Society for Computer Simulation
International; 2010:133–140.'
apa: 'Kretzschmar, N., & Schöppner, V. (2010). Simulating Tightly Intermeshing,
Co-Rotating Twin Screw Extruders with SIGMA. In Proceedings of the 2010 Summer
Computer Simulation Conference (pp. 133–140). San Diego, CA, USA: Society
for Computer Simulation International.'
bibtex: '@inproceedings{Kretzschmar_Schöppner_2010, place={San Diego, CA, USA},
series={SCSC ’10}, title={Simulating Tightly Intermeshing, Co-Rotating Twin Screw
Extruders with SIGMA}, booktitle={Proceedings of the 2010 Summer Computer Simulation
Conference}, publisher={Society for Computer Simulation International}, author={Kretzschmar,
Nils and Schöppner, Volker}, year={2010}, pages={133–140}, collection={SCSC ’10}
}'
chicago: 'Kretzschmar, Nils, and Volker Schöppner. “Simulating Tightly Intermeshing,
Co-Rotating Twin Screw Extruders with SIGMA.” In Proceedings of the 2010 Summer
Computer Simulation Conference, 133–140. SCSC ’10. San Diego, CA, USA: Society
for Computer Simulation International, 2010.'
ieee: N. Kretzschmar and V. Schöppner, “Simulating Tightly Intermeshing, Co-Rotating
Twin Screw Extruders with SIGMA,” in Proceedings of the 2010 Summer Computer
Simulation Conference, 2010, pp. 133–140.
mla: Kretzschmar, Nils, and Volker Schöppner. “Simulating Tightly Intermeshing,
Co-Rotating Twin Screw Extruders with SIGMA.” Proceedings of the 2010 Summer
Computer Simulation Conference, Society for Computer Simulation International,
2010, pp. 133–140.
short: 'N. Kretzschmar, V. Schöppner, in: Proceedings of the 2010 Summer Computer
Simulation Conference, Society for Computer Simulation International, San Diego,
CA, USA, 2010, pp. 133–140.'
date_created: 2021-09-07T10:31:48Z
date_updated: 2022-01-06T06:56:02Z
department:
- _id: '367'
keyword:
- process optimization
- polymer engineering
- compounding
- twin screw extruder
- simulation
language:
- iso: eng
page: 133–140
place: San Diego, CA, USA
publication: Proceedings of the 2010 Summer Computer Simulation Conference
publisher: Society for Computer Simulation International
series_title: SCSC '10
status: public
title: Simulating Tightly Intermeshing, Co-Rotating Twin Screw Extruders with SIGMA
type: conference
user_id: '15387'
year: '2010'
...
---
_id: '5685'
abstract:
- lang: eng
text: In double-sided markets for computing resources an optimal allocation schedule
among job offers and requests subject to relevant capacity constraints can be
determined. With increasing storage demands and emerging storage services the
question how to schedule storage jobs becomes more and more interesting. Since
such scheduling problems are often in the class NP-complete an exact computation
is not feasible in practice. On the other hand an approximation to the optimal
solution can easily be found by means of using heuristics. The problem with this
attempt is that the suggested solution may not be exactly optimal and is thus
less satisfying. Considering the two above mentioned solution approaches one can
clearly find a trade-off between the optimality of the solution and the efficiency
to get to a solution at all. This work proposes to apply and combine heuristics
in optimization to gain from both of their benefits while reducing the problematic
aspects. Following this method it is assumed to get closer to the optimal solution
in a shorter time compared to a full optimization.
author:
- first_name: Josef
full_name: Finkbeiner, Josef
last_name: Finkbeiner
- first_name: Christian
full_name: Bodenstein, Christian
last_name: Bodenstein
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
- first_name: Dirk
full_name: Neumann, Dirk
last_name: Neumann
citation:
ama: 'Finkbeiner J, Bodenstein C, Schryen G, Neumann D. Applying heuristic methods
for job scheduling in storage markets. In: 18th European Conference on Information
Systems (ECIS 2010). ; 2010.'
apa: Finkbeiner, J., Bodenstein, C., Schryen, G., & Neumann, D. (2010). Applying
heuristic methods for job scheduling in storage markets. In 18th European Conference
on Information Systems (ECIS 2010).
bibtex: '@inproceedings{Finkbeiner_Bodenstein_Schryen_Neumann_2010, title={Applying
heuristic methods for job scheduling in storage markets}, booktitle={18th European
Conference on Information Systems (ECIS 2010)}, author={Finkbeiner, Josef and
Bodenstein, Christian and Schryen, Guido and Neumann, Dirk}, year={2010} }'
chicago: Finkbeiner, Josef, Christian Bodenstein, Guido Schryen, and Dirk Neumann.
“Applying Heuristic Methods for Job Scheduling in Storage Markets.” In 18th
European Conference on Information Systems (ECIS 2010), 2010.
ieee: J. Finkbeiner, C. Bodenstein, G. Schryen, and D. Neumann, “Applying heuristic
methods for job scheduling in storage markets,” in 18th European Conference
on Information Systems (ECIS 2010), 2010.
mla: Finkbeiner, Josef, et al. “Applying Heuristic Methods for Job Scheduling in
Storage Markets.” 18th European Conference on Information Systems (ECIS 2010),
2010.
short: 'J. Finkbeiner, C. Bodenstein, G. Schryen, D. Neumann, in: 18th European
Conference on Information Systems (ECIS 2010), 2010.'
date_created: 2018-11-14T15:45:11Z
date_updated: 2022-01-06T07:02:32Z
ddc:
- '000'
department:
- _id: '277'
extern: '1'
file:
- access_level: open_access
content_type: application/pdf
creator: hsiemes
date_created: 2018-12-11T15:21:06Z
date_updated: 2018-12-13T15:19:40Z
file_id: '6188'
file_name: s1-ln7055316-1881058806-1939656818Hwf-1884822883IdV-5442784107055316PDF_HI0001.pdf
file_size: 171336
relation: main_file
file_date_updated: 2018-12-13T15:19:40Z
has_accepted_license: '1'
keyword:
- Decision Support System
- Algorithms
- Optimization
- Market Engineering
language:
- iso: eng
oa: '1'
publication: 18th European Conference on Information Systems (ECIS 2010)
status: public
title: Applying heuristic methods for job scheduling in storage markets
type: conference
user_id: '61579'
year: '2010'
...