---
_id: '2014'
abstract:
- lang: eng
text: Industrial applications are in transition towards modular and flexible architectures
that are capable of self-configuration and -optimisation. This is due to the demand
of mass customisation and the increasing complexity of industrial systems. The
conversion to modular systems is related to challenges in all disciplines. Consequently,
diverse tasks such as information processing, extensive networking, or system
monitoring using sensor and information fusion systems need to be reconsidered.
The focus of this contribution is on distributed sensor and information fusion
systems for system monitoring, which must reflect the increasing flexibility of
fusion systems. This contribution thus proposes an approach, which relies on a
network of self-descriptive intelligent sensor nodes, for the automatic design
and update of sensor and information fusion systems. This article encompasses
the fusion system configuration and adaptation as well as communication aspects.
Manual interaction with the flexibly changing system is reduced to a minimum.
article_number: '601'
author:
- first_name: Alexander
full_name: Fritze, Alexander
last_name: Fritze
- first_name: Uwe
full_name: Mönks, Uwe
id: '1825'
last_name: Mönks
- first_name: Christoph-Alexander
full_name: Holst, Christoph-Alexander
id: '64782'
last_name: Holst
- first_name: Volker
full_name: Lohweg, Volker
id: '1804'
last_name: Lohweg
orcid: 0000-0002-3325-7887
citation:
ama: Fritze A, Mönks U, Holst C-A, Lohweg V. An Approach to Automated Fusion System
Design and Adaptation. Sensors. 2017;17(3). doi: https://doi.org/10.3390/s17030601
apa: Fritze, A., Mönks, U., Holst, C.-A., & Lohweg, V. (2017). An Approach to
Automated Fusion System Design and Adaptation. Sensors, 17(3). https://doi.org/ https://doi.org/10.3390/s17030601
bjps: Fritze A et al. (2017) An Approach to Automated Fusion System
Design and Adaptation. Sensors 17.
chicago: Fritze, Alexander, Uwe Mönks, Christoph-Alexander Holst, and Volker Lohweg.
“An Approach to Automated Fusion System Design and Adaptation.” Sensors
17, no. 3 (2017). https://doi.org/
https://doi.org/10.3390/s17030601.
chicago-de: Fritze, Alexander, Uwe Mönks, Christoph-Alexander Holst und Volker Lohweg.
2017. An Approach to Automated Fusion System Design and Adaptation. Sensors
17, Nr. 3. doi:
https://doi.org/10.3390/s17030601, .
din1505-2-1: 'Fritze, Alexander ;
Mönks, Uwe ; Holst,
Christoph-Alexander ; Lohweg, Volker:
An Approach to Automated Fusion System Design and Adaptation. In: Sensors
Bd. 17 (2017), Nr. 3'
havard: A. Fritze, U. Mönks, C.-A. Holst, V. Lohweg, An Approach to Automated Fusion
System Design and Adaptation, Sensors. 17 (2017).
ieee: A. Fritze, U. Mönks, C.-A. Holst, and V. Lohweg, “An Approach to Automated
Fusion System Design and Adaptation,” Sensors, vol. 17, no. 3, 2017.
mla: Fritze, Alexander, et al. “An Approach to Automated Fusion System Design and
Adaptation.” Sensors, vol. 17, no. 3, 601, 2017, doi: https://doi.org/10.3390/s17030601.
short: A. Fritze, U. Mönks, C.-A. Holst, V. Lohweg, Sensors 17 (2017).
ufg: 'Fritze, Alexander et. al. (2017): An Approach to Automated Fusion System
Design and Adaptation, in: Sensors 17 (3).'
van: Fritze A, Mönks U, Holst C-A, Lohweg V. An Approach to Automated Fusion System
Design and Adaptation. Sensors. 2017;17(3).
date_created: 2019-11-25T08:52:14Z
date_updated: 2023-03-15T13:49:38Z
department:
- _id: DEP5023
doi: ' https://doi.org/10.3390/s17030601'
intvolume: ' 17'
issue: '3'
keyword:
- information fusion
- intelligent sensor
- knowledge-based system
- self-configuration
- sensor fusion
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.mdpi.com/1424-8220/17/3/601/htm
oa: '1'
publication: Sensors
publication_identifier:
issn:
- 1424-8220
publication_status: published
status: public
title: An Approach to Automated Fusion System Design and Adaptation
type: journal_article
user_id: '15514'
volume: 17
year: 2017
...
---
_id: '2107'
abstract:
- lang: eng
text: In this paper we propose a novel, extended perspective on evidential aggregation
rules in machine condition monitoring. First, aspects regarding the interconnections
between Dempster-Shafer, Fuzzy Set, and Possibility Theory are shown. Subsequently,
a novel approach for direct determination of basic probability assignments using
Fuzzy membership functions is proposed. Finally, it is applied to a pipe extrusion
line's condition monitoring system, considering and reducing pairwise conflicts.
author:
- first_name: Uwe
full_name: Mönks, Uwe
id: '1825'
last_name: Mönks
- first_name: Karl
full_name: Voth, Karl
last_name: Voth
- first_name: Volker
full_name: Lohweg, Volker
id: '1804'
last_name: Lohweg
orcid: 0000-0002-3325-7887
citation:
ama: 'Mönks U, Voth K, Lohweg V. An Extended Perspective on Evidential Aggregation
Rules in Machine Conditioning. In: IEEE CIP 2012, Third International Workshop
on Cognitive Information Processing, May 28-30 2012, Parador de Baiona, Spain.
; 2012. doi:10.1109/CIP.2012.6232905'
apa: Mönks, U., Voth, K., & Lohweg, V. (2012). An Extended Perspective on Evidential
Aggregation Rules in Machine Conditioning. In IEEE CIP 2012, Third International
Workshop on Cognitive Information Processing, May 28-30 2012, Parador de Baiona,
Spain. https://doi.org/10.1109/CIP.2012.6232905
bjps: Mönks U, Voth K and Lohweg V (2012) An Extended Perspective on Evidential
Aggregation Rules in Machine Conditioning. IEEE CIP 2012, Third International
Workshop on Cognitive Information Processing, May 28-30 2012, Parador de Baiona,
Spain.
chicago: Mönks, Uwe, Karl Voth, and Volker Lohweg. “An Extended Perspective on Evidential
Aggregation Rules in Machine Conditioning.” In IEEE CIP 2012, Third International
Workshop on Cognitive Information Processing, May 28-30 2012, Parador de Baiona,
Spain, 2012. https://doi.org/10.1109/CIP.2012.6232905.
chicago-de: 'Mönks, Uwe, Karl Voth und Volker Lohweg. 2012. An Extended Perspective
on Evidential Aggregation Rules in Machine Conditioning. In: IEEE CIP 2012,
Third International Workshop on Cognitive Information Processing, May 28-30 2012,
Parador de Baiona, Spain. doi:10.1109/CIP.2012.6232905,
.'
din1505-2-1: 'Mönks, Uwe ; Voth,
Karl ; Lohweg, Volker: An
Extended Perspective on Evidential Aggregation Rules in Machine Conditioning.
In: IEEE CIP 2012, Third International Workshop on Cognitive Information Processing,
May 28-30 2012, Parador de Baiona, Spain, 2012'
havard: 'U. Mönks, K. Voth, V. Lohweg, An Extended Perspective on Evidential Aggregation
Rules in Machine Conditioning, in: IEEE CIP 2012, Third International Workshop
on Cognitive Information Processing, May 28-30 2012, Parador de Baiona, Spain,
2012.'
ieee: U. Mönks, K. Voth, and V. Lohweg, “An Extended Perspective on Evidential Aggregation
Rules in Machine Conditioning,” in IEEE CIP 2012, Third International Workshop
on Cognitive Information Processing, May 28-30 2012, Parador de Baiona, Spain,
2012.
mla: Mönks, Uwe, et al. “An Extended Perspective on Evidential Aggregation Rules
in Machine Conditioning.” IEEE CIP 2012, Third International Workshop on Cognitive
Information Processing, May 28-30 2012, Parador de Baiona, Spain, 2012, doi:10.1109/CIP.2012.6232905.
short: 'U. Mönks, K. Voth, V. Lohweg, in: IEEE CIP 2012, Third International Workshop
on Cognitive Information Processing, May 28-30 2012, Parador de Baiona, Spain,
2012.'
ufg: 'Mönks, Uwe et. al. (2012): An Extended Perspective on Evidential Aggregation
Rules in Machine Conditioning, in: IEEE CIP 2012, Third International Workshop
on Cognitive Information Processing, May 28-30 2012, Parador de Baiona, Spain.'
van: 'Mönks U, Voth K, Lohweg V. An Extended Perspective on Evidential Aggregation
Rules in Machine Conditioning. In: IEEE CIP 2012, Third International Workshop
on Cognitive Information Processing, May 28-30 2012, Parador de Baiona, Spain.
2012.'
date_created: 2019-12-03T06:40:20Z
date_updated: 2023-03-15T13:49:38Z
department:
- _id: DEP5023
doi: 10.1109/CIP.2012.6232905
keyword:
- Sensor phenomena and characterization
- Production
- Sensor fusion
- Fuzzy set theory
- Conferences
- Possibility theory
language:
- iso: eng
main_file_link:
- url: https://ieeexplore.ieee.org/abstract/document/6232905/keywords#keywords
publication: IEEE CIP 2012, Third International Workshop on Cognitive Information
Processing, May 28-30 2012, Parador de Baiona, Spain
publication_identifier:
eisbn:
- 978-1-4673-1878-5
eissn:
- '2327-1698 '
isbn:
- 978-1-4673-1877-8
issn:
- '2327-1671 '
publication_status: published
status: public
title: An Extended Perspective on Evidential Aggregation Rules in Machine Conditioning
type: conference
user_id: '45673'
year: 2012
...
---
_id: '2086'
abstract:
- lang: eng
text: Many of the existing fusion approaches based on Dempster-Shafer Theory (DST)
tend to be unreliable in various scenarios. Therefore, this topic is still in
discussion. In this work a Two-Layer Conflict Solving (TLCS) data fusion scheme
is proposed which is based on Dempster-Shafer Theory and on Fuzzy-Pattern-Classification
(FPC) concepts. The aim is to provide an approach to data fusion which provides
a stable conflict scenario handling. Furthermore, the scheme can easily be extended
to fuzzy classification and is applicable to sensor fusion applications. Therefore,
the suggested approach will contribute as a novel fuzzy fusion method.
author:
- first_name: Volker
full_name: Lohweg, Volker
id: '1804'
last_name: Lohweg
orcid: 0000-0002-3325-7887
- first_name: Uwe
full_name: Mönks, Uwe
id: '1825'
last_name: Mönks
citation:
ama: 'Lohweg V, Mönks U. Sensor Fusion by Two-Layer Conflict Solving. In: The
2nd International Workshop on Cognitive Information Processing. 14-16 June,
2010, Elba Island (Tuscany), Italy; 2010. doi:10.1109/CIP.2010.5604094'
apa: 'Lohweg, V., & Mönks, U. (2010). Sensor Fusion by Two-Layer Conflict Solving.
In The 2nd International Workshop on Cognitive Information Processing.
Elba: 14-16 June, 2010, Elba Island (Tuscany), Italy. https://doi.org/10.1109/CIP.2010.5604094'
bjps: Lohweg V and Mönks U (2010) Sensor Fusion by Two-Layer Conflict Solving.
The 2nd International Workshop on Cognitive Information Processing. 14-16
June, 2010, Elba Island (Tuscany), Italy.
chicago: Lohweg, Volker, and Uwe Mönks. “Sensor Fusion by Two-Layer Conflict Solving.”
In The 2nd International Workshop on Cognitive Information Processing.
14-16 June, 2010, Elba Island (Tuscany), Italy, 2010. https://doi.org/10.1109/CIP.2010.5604094.
chicago-de: 'Lohweg, Volker und Uwe Mönks. 2010. Sensor Fusion by Two-Layer Conflict
Solving. In: The 2nd International Workshop on Cognitive Information Processing.
14-16 June, 2010, Elba Island (Tuscany), Italy. doi:10.1109/CIP.2010.5604094,
.'
din1505-2-1: 'Lohweg, Volker ; Mönks, Uwe: Sensor Fusion by Two-Layer
Conflict Solving. In: The 2nd International Workshop on Cognitive Information
Processing : 14-16 June, 2010, Elba Island (Tuscany), Italy, 2010'
havard: 'V. Lohweg, U. Mönks, Sensor Fusion by Two-Layer Conflict Solving, in: The
2nd International Workshop on Cognitive Information Processing, 14-16 June, 2010,
Elba Island (Tuscany), Italy, 2010.'
ieee: V. Lohweg and U. Mönks, “Sensor Fusion by Two-Layer Conflict Solving,” in
The 2nd International Workshop on Cognitive Information Processing, Elba,
2010.
mla: Lohweg, Volker, and Uwe Mönks. “Sensor Fusion by Two-Layer Conflict Solving.”
The 2nd International Workshop on Cognitive Information Processing, 14-16
June, 2010, Elba Island (Tuscany), Italy, 2010, doi:10.1109/CIP.2010.5604094.
short: 'V. Lohweg, U. Mönks, in: The 2nd International Workshop on Cognitive Information
Processing, 14-16 June, 2010, Elba Island (Tuscany), Italy, 2010.'
ufg: 'Lohweg, Volker/Mönks, Uwe (2010): Sensor Fusion by Two-Layer Conflict
Solving, in: The 2nd International Workshop on Cognitive Information Processing.'
van: 'Lohweg V, Mönks U. Sensor Fusion by Two-Layer Conflict Solving. In: The 2nd
International Workshop on Cognitive Information Processing. 14-16 June, 2010,
Elba Island (Tuscany), Italy; 2010.'
conference:
end_date: 2010-06-16
location: Elba
name: ' 2010 2nd International Workshop on Cognitive Information Processing'
start_date: 2010-06-14
date_created: 2019-12-02T08:04:18Z
date_updated: 2023-03-15T13:49:38Z
department:
- _id: DEP5023
doi: 10.1109/CIP.2010.5604094
keyword:
- Noise measurement
- Fuzzy sets
- Noise
- Sensor fusion
- Logic gates
- Feature extraction
- Fuses
language:
- iso: eng
publication: The 2nd International Workshop on Cognitive Information Processing
publication_identifier:
eisbn:
- 978-1-4244-6459-3
isbn:
- 978-1-4244-6457-9
issn:
- '2327-1671 '
unknown:
- '2327-1698 '
publication_status: published
publisher: 14-16 June, 2010, Elba Island (Tuscany), Italy
status: public
title: Sensor Fusion by Two-Layer Conflict Solving
type: conference
user_id: '45673'
year: 2010
...
---
_id: '2069'
abstract:
- lang: eng
text: 'During printed product manufacturing, measures are taken to ensure a certain
level of printing quality and security via authentification methods. This is particularly true in the field of security printing, where the quality standards, which must
be reached by the end-products, i.e. banknotes, security documents and the like,
are very high. It is accepted, that print defects are generated because printing parameters but also machine parameters will change unnoticed
in production. Therefore, a new concept for a multi-sensory adaptive learning
and classification model based on Fuzzy-Pattern-Classifiers for data inspection, authentification and machine conditioning is proposed. This kind of inspection
concept, which combines optical, acoustical and other machine information, produces
a large amount of data, which leads to multivariate methods for data analysis.
Multivariate methods are useful for analysis of large and complex data sets that consist of many variables measured on large numbers of physical data. A general aim is to improve the known inspection techniques and propose an inspection methodology that can ensure a comprehensive quality control of the printed substrates processed by printing presses, especially printing presses which are designed to process substrates
used in the course of the production of banknotes, security documents and others. '
author:
- first_name: Walter
full_name: Dyck, Walter
last_name: Dyck
- first_name: Thomas
full_name: Türke, Thomas
last_name: Türke
- first_name: Johannes
full_name: Schaede, Johannes
id: '2128'
last_name: Schaede
- first_name: Volker
full_name: Lohweg, Volker
id: '1804'
last_name: Lohweg
orcid: 0000-0002-3325-7887
citation:
ama: Dyck W, Türke T, Schaede J, Lohweg V. A New Concept on Quality Inspection and
Machine Conditioning for Security Prints. Optical Document Security - The 2008
Conference on Optical Security and Counterfeit Deterrence; Reconnaissance International
Publishers and Consultants, San Francisco, CA, USA. 2008.
apa: Dyck, W., Türke, T., Schaede, J., & Lohweg, V. (2008). A New Concept on
Quality Inspection and Machine Conditioning for Security Prints. Optical Document
Security - The 2008 Conference on Optical Security and Counterfeit Deterrence;
Reconnaissance International Publishers and Consultants, San Francisco, CA, USA.
bjps: Dyck W et al. (2008) A New Concept on Quality Inspection and
Machine Conditioning for Security Prints. Optical Document Security - The 2008
Conference on Optical Security and Counterfeit Deterrence; Reconnaissance International
Publishers and Consultants, San Francisco, CA, USA.
chicago: Dyck, Walter, Thomas Türke, Johannes Schaede, and Volker Lohweg. “A New
Concept on Quality Inspection and Machine Conditioning for Security Prints.” Optical
Document Security - The 2008 Conference on Optical Security and Counterfeit Deterrence;
Reconnaissance International Publishers and Consultants, San Francisco, CA, USA,
2008.
chicago-de: Dyck, Walter, Thomas Türke, Johannes Schaede und Volker Lohweg. 2008.
A New Concept on Quality Inspection and Machine Conditioning for Security Prints.
Optical Document Security - The 2008 Conference on Optical Security and Counterfeit
Deterrence; Reconnaissance International Publishers and Consultants, San Francisco,
CA, USA.
din1505-2-1: 'Dyck, Walter ; Türke, Thomas ; Schaede,
Johannes ; Lohweg, Volker:
A New Concept on Quality Inspection and Machine Conditioning for Security Prints.
In: Optical Document Security - The 2008 Conference on Optical Security and
Counterfeit Deterrence; Reconnaissance International Publishers and Consultants,
San Francisco, CA, USA (2008)'
havard: W. Dyck, T. Türke, J. Schaede, V. Lohweg, A New Concept on Quality Inspection
and Machine Conditioning for Security Prints, Optical Document Security - The
2008 Conference on Optical Security and Counterfeit Deterrence; Reconnaissance
International Publishers and Consultants, San Francisco, CA, USA. (2008).
ieee: W. Dyck, T. Türke, J. Schaede, and V. Lohweg, “A New Concept on Quality Inspection
and Machine Conditioning for Security Prints,” Optical Document Security -
The 2008 Conference on Optical Security and Counterfeit Deterrence; Reconnaissance
International Publishers and Consultants, San Francisco, CA, USA, 2008.
mla: Dyck, Walter, et al. “A New Concept on Quality Inspection and Machine Conditioning
for Security Prints.” Optical Document Security - The 2008 Conference on Optical
Security and Counterfeit Deterrence; Reconnaissance International Publishers and
Consultants, San Francisco, CA, USA, 2008.
short: W. Dyck, T. Türke, J. Schaede, V. Lohweg, Optical Document Security - The
2008 Conference on Optical Security and Counterfeit Deterrence; Reconnaissance
International Publishers and Consultants, San Francisco, CA, USA (2008).
ufg: 'Dyck, Walter et. al. (2008): A New Concept on Quality Inspection and
Machine Conditioning for Security Prints, in: Optical Document Security - The
2008 Conference on Optical Security and Counterfeit Deterrence; Reconnaissance
International Publishers and Consultants, San Francisco, CA, USA.'
van: Dyck W, Türke T, Schaede J, Lohweg V. A New Concept on Quality Inspection and
Machine Conditioning for Security Prints. Optical Document Security - The 2008
Conference on Optical Security and Counterfeit Deterrence; Reconnaissance International
Publishers and Consultants, San Francisco, CA, USA. 2008;
date_created: 2019-11-29T14:02:12Z
date_updated: 2023-03-15T13:49:38Z
department:
- _id: DEP5023
keyword:
- authentification
- anti-counterfeit features
- inspection
- quality
- sensor fusion
- pattern recognition
language:
- iso: eng
publication: Optical Document Security - The 2008 Conference on Optical Security and
Counterfeit Deterrence; Reconnaissance International Publishers and Consultants,
San Francisco, CA, USA
status: public
title: A New Concept on Quality Inspection and Machine Conditioning for Security Prints
type: journal_article
user_id: '45673'
year: 2008
...
---
_id: '2068'
abstract:
- lang: eng
text: The production of printing goods is laborious. Furthermore, the print quality,
especially in banknotes, must be assured. It is accepted, that print defects are
generated because printing parameters, also machine parameters can change unnoticed.
Therefore, a combined concept for a multi-sensory learning and classification
model based on new adaptive fuzzy-pattern-classifiers for data inspection is proposed.
This inspection concept, which combines optical, acoustical and other machine
information, comes up with a large amount of data, which leads to multivariate
methods for data analysis. Multivariate methods are useful for analysis of large
and complex data sets that consist of many variables measured on large numbers
of physical data.
author:
- first_name: Walter
full_name: Dyck, Walter
last_name: Dyck
- first_name: Thomas
full_name: Türke, Thomas
last_name: Türke
- first_name: Johannes
full_name: Schaede, Johannes
id: '2128'
last_name: Schaede
- first_name: Volker
full_name: Lohweg, Volker
id: '1804'
last_name: Lohweg
orcid: 0000-0002-3325-7887
citation:
ama: 'Dyck W, Türke T, Schaede J, Lohweg V. A Fuzzy-Pattern-Classifier-Based Adaptive
Learning Model for Sensor Fusion. In: Thessaloniki, Greece: MLSP 2007 - International
Workshop on MACHINE LEARNING FOR SIGNAL PROCESSING; 2007:accepted for publication.
doi:10.1109/MLSP.2007.4414320'
apa: 'Dyck, W., Türke, T., Schaede, J., & Lohweg, V. (2007). A Fuzzy-Pattern-Classifier-Based
Adaptive Learning Model for Sensor Fusion (p. accepted for publication). Thessaloniki,
Greece: MLSP 2007 - International Workshop on MACHINE LEARNING FOR SIGNAL PROCESSING.
https://doi.org/10.1109/MLSP.2007.4414320'
bjps: 'Dyck W et al. (2007) A Fuzzy-Pattern-Classifier-Based Adaptive
Learning Model for Sensor Fusion. Thessaloniki, Greece: MLSP 2007 - International
Workshop on MACHINE LEARNING FOR SIGNAL PROCESSING, p. accepted for publication.'
chicago: 'Dyck, Walter, Thomas Türke, Johannes Schaede, and Volker Lohweg. “A Fuzzy-Pattern-Classifier-Based
Adaptive Learning Model for Sensor Fusion,” accepted for publication. Thessaloniki,
Greece: MLSP 2007 - International Workshop on MACHINE LEARNING FOR SIGNAL PROCESSING,
2007. https://doi.org/10.1109/MLSP.2007.4414320.'
chicago-de: 'Dyck, Walter, Thomas Türke, Johannes Schaede und Volker Lohweg. 2007.
A Fuzzy-Pattern-Classifier-Based Adaptive Learning Model for Sensor Fusion. In:
, accepted for publication. Thessaloniki, Greece: MLSP 2007 - International Workshop
on MACHINE LEARNING FOR SIGNAL PROCESSING. doi:10.1109/MLSP.2007.4414320,
.'
din1505-2-1: 'Dyck, Walter ; Türke, Thomas ; Schaede,
Johannes ; Lohweg, Volker:
A Fuzzy-Pattern-Classifier-Based Adaptive Learning Model for Sensor Fusion. In:
. Thessaloniki, Greece : MLSP 2007 - International Workshop on MACHINE LEARNING
FOR SIGNAL PROCESSING, 2007, S. accepted for publication'
havard: 'W. Dyck, T. Türke, J. Schaede, V. Lohweg, A Fuzzy-Pattern-Classifier-Based
Adaptive Learning Model for Sensor Fusion, in: MLSP 2007 - International Workshop
on MACHINE LEARNING FOR SIGNAL PROCESSING, Thessaloniki, Greece, 2007: p. accepted
for publication.'
ieee: W. Dyck, T. Türke, J. Schaede, and V. Lohweg, “A Fuzzy-Pattern-Classifier-Based
Adaptive Learning Model for Sensor Fusion,” 2007, p. accepted for publication.
mla: Dyck, Walter, et al. A Fuzzy-Pattern-Classifier-Based Adaptive Learning
Model for Sensor Fusion. MLSP 2007 - International Workshop on MACHINE LEARNING
FOR SIGNAL PROCESSING, 2007, p. accepted for publication, doi:10.1109/MLSP.2007.4414320.
short: 'W. Dyck, T. Türke, J. Schaede, V. Lohweg, in: MLSP 2007 - International
Workshop on MACHINE LEARNING FOR SIGNAL PROCESSING, Thessaloniki, Greece, 2007,
p. accepted for publication.'
ufg: 'Dyck, Walter et. al. (2007): A Fuzzy-Pattern-Classifier-Based Adaptive
Learning Model for Sensor Fusion, in: , Thessaloniki, Greece, S. accepted for
publication.'
van: 'Dyck W, Türke T, Schaede J, Lohweg V. A Fuzzy-Pattern-Classifier-Based Adaptive
Learning Model for Sensor Fusion. In Thessaloniki, Greece: MLSP 2007 - International
Workshop on MACHINE LEARNING FOR SIGNAL PROCESSING; 2007. p. accepted for publication.'
date_created: 2019-11-29T13:50:28Z
date_updated: 2023-03-15T13:49:38Z
department:
- _id: DEP5023
doi: 10.1109/MLSP.2007.4414320
keyword:
- Sensor fusion
- Inspection
- Optical sensors
- Printing machinery
- Data security
- Data analysis
- Production
- Degradation
- Principal component analysis
- Karhunen-Loeve transforms
language:
- iso: eng
main_file_link:
- url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4414320&tag=1
page: accepted for publication
place: Thessaloniki, Greece
publication_identifier:
eisbn:
- 978-1-4244-1566-3
isbn:
- 978-1-4244-1565-6
issn:
- '1551-2541 '
unknown:
- '2378-928X '
publication_status: published
publisher: MLSP 2007 - International Workshop on MACHINE LEARNING FOR SIGNAL PROCESSING
status: public
title: A Fuzzy-Pattern-Classifier-Based Adaptive Learning Model for Sensor Fusion
type: conference
user_id: '45673'
year: 2007
...