--- _id: '2141' abstract: - lang: eng text: Sensor and information fusion is recently a major topic which becomes important in machine diagnosis and conditioning for complex production machines and process engineering. It is a known fact that distributed automation systems have a major impact on signal processing and pattern recognition for machine diagnosis. Therefore, it is necessary to research and develop smart diagnosis methods which are applicable for distributed systems like resource-limited cyber-physical systems. In this paper we propose an new approach for sensor and information fusion based on Evidence Theory and socio-psychological decision-making. We show that context based condition monitoring is instantiated even in conflict situations, oc-curing in real life scenarios permanently. A simple but effective importance measure is proposed which controls the significance of conditioning propositions in a system. author: - first_name: Uwe full_name: Mönks, Uwe id: '1825' last_name: Mönks - first_name: Volker full_name: Lohweg, Volker id: '1804' last_name: Lohweg orcid: 0000-0002-3325-7887 citation: ama: 'Mönks U, Lohweg V. Machine Conditioning by Importance Controlled Information Fusion. In: IEEE, ed. 18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Cagliari, Italy; 2013. doi:10.1109/ETFA.2013.6647984' apa: Mönks, U., & Lohweg, V. (2013). Machine Conditioning by Importance Controlled Information Fusion. In IEEE (Ed.), 18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Cagliari, Italy. https://doi.org/10.1109/ETFA.2013.6647984 bjps: Mönks U and Lohweg V (2013) Machine Conditioning by Importance Controlled Information Fusion. In IEEE (ed.), 18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Cagliari, Italy. chicago: Mönks, Uwe, and Volker Lohweg. “Machine Conditioning by Importance Controlled Information Fusion.” In 18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), edited by IEEE. Cagliari, Italy, 2013. https://doi.org/10.1109/ETFA.2013.6647984. chicago-de: 'Mönks, Uwe und Volker Lohweg. 2013. Machine Conditioning by Importance Controlled Information Fusion. In: 18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), hg. von IEEE. Cagliari, Italy. doi:10.1109/ETFA.2013.6647984, .' din1505-2-1: 'Mönks, Uwe ; Lohweg, Volker: Machine Conditioning by Importance Controlled Information Fusion. In: IEEE (Hrsg.): 18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Cagliari, Italy, 2013' havard: 'U. Mönks, V. Lohweg, Machine Conditioning by Importance Controlled Information Fusion, in: IEEE (Ed.), 18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Cagliari, Italy, 2013.' ieee: U. Mönks and V. Lohweg, “Machine Conditioning by Importance Controlled Information Fusion,” in 18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 2013. mla: Mönks, Uwe, and Volker Lohweg. “Machine Conditioning by Importance Controlled Information Fusion.” 18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), edited by IEEE, 2013, doi:10.1109/ETFA.2013.6647984. short: 'U. Mönks, V. Lohweg, in: IEEE (Ed.), 18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Cagliari, Italy, 2013.' ufg: 'Mönks, Uwe/Lohweg, Volker (2013): Machine Conditioning by Importance Controlled Information Fusion, in: IEEE (Hg.): 18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Cagliari, Italy.' van: 'Mönks U, Lohweg V. Machine Conditioning by Importance Controlled Information Fusion. In: IEEE, editor. 18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Cagliari, Italy; 2013.' corporate_editor: - IEEE date_created: 2019-12-04T09:30:15Z date_updated: 2023-03-15T13:49:39Z department: - _id: DEP5023 doi: 10.1109/ETFA.2013.6647984 keyword: - Decision making - Robot sensing systems - Reliability - Production - Context - Fuzzy set theory - Data integration language: - iso: eng place: Cagliari, Italy publication: 18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) publication_identifier: eisbn: - 978-1-4799-0864-6 eissn: - '1946-0759 ' isbn: - 978-1-4799-0862-2 issn: - '1946-0740 ' publication_status: published status: public title: Machine Conditioning by Importance Controlled Information Fusion type: conference user_id: '45673' year: 2013 ... --- _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: '2113' abstract: - lang: eng text: In this paper, we sketch an idea for the integration of singleclass support vector machines (SVM) into fuzzy class learning. As result,we obtain robust and transparent rule-based fuzzy classification models suitable for online-classification tasks. In particular, the singleclass SVM is employed to extend the applicability of convex fuzzy classifica-tion models to nonconvex datainherent structures. The key point of thisextension is the preservation of the interpretability for both, the classlearning and the classification process. The feasibility of the approach isdemonstrated in the context of a banknote authentication application. author: - first_name: Arne-Jens full_name: Hempel, Arne-Jens last_name: Hempel - first_name: Holger full_name: Hähnel, Holger last_name: Hähnel - first_name: Uwe full_name: Mönks, Uwe id: '1825' last_name: Mönks - first_name: Volker full_name: Lohweg, Volker id: '1804' last_name: Lohweg orcid: 0000-0002-3325-7887 citation: ama: 'Hempel A-J, Hähnel H, Mönks U, Lohweg V. SVM-integrated Fuzzy Pattern Classification for Nonconvex Data-Inherent Structures Applied to Banknote Authentication. In: BVAu 2012 - 3. Jahresolloquium “Bildverarbeitung in Der Automation” Centrum Industrial IT, Lemgo,. inIT-Institut für industrielle Informationstechnik; 2012.' apa: Hempel, A.-J., Hähnel, H., Mönks, U., & Lohweg, V. (2012). SVM-integrated Fuzzy Pattern Classification for Nonconvex Data-Inherent Structures Applied to Banknote Authentication. In BVAu 2012 - 3. Jahresolloquium “Bildverarbeitung in der Automation” Centrum Industrial IT, Lemgo,. inIT-Institut für industrielle Informationstechnik. bjps: Hempel A-J et al. (2012) SVM-Integrated Fuzzy Pattern Classification for Nonconvex Data-Inherent Structures Applied to Banknote Authentication. BVAu 2012 - 3. Jahresolloquium ‘Bildverarbeitung in Der Automation’ Centrum Industrial IT, Lemgo,. inIT-Institut für industrielle Informationstechnik. chicago: Hempel, Arne-Jens, Holger Hähnel, Uwe Mönks, and Volker Lohweg. “SVM-Integrated Fuzzy Pattern Classification for Nonconvex Data-Inherent Structures Applied to Banknote Authentication.” In BVAu 2012 - 3. Jahresolloquium “Bildverarbeitung in Der Automation” Centrum Industrial IT, Lemgo,. inIT-Institut für industrielle Informationstechnik, 2012. chicago-de: 'Hempel, Arne-Jens, Holger Hähnel, Uwe Mönks und Volker Lohweg. 2012. SVM-integrated Fuzzy Pattern Classification for Nonconvex Data-Inherent Structures Applied to Banknote Authentication. In: BVAu 2012 - 3. Jahresolloquium „Bildverarbeitung in der Automation“ Centrum Industrial IT, Lemgo,. inIT-Institut für industrielle Informationstechnik.' din1505-2-1: 'Hempel, Arne-Jens ; Hähnel, Holger ; Mönks, Uwe ; Lohweg, Volker: SVM-integrated Fuzzy Pattern Classification for Nonconvex Data-Inherent Structures Applied to Banknote Authentication. In: BVAu 2012 - 3. Jahresolloquium „Bildverarbeitung in der Automation“ Centrum Industrial IT, Lemgo, : inIT-Institut für industrielle Informationstechnik, 2012' havard: 'A.-J. Hempel, H. Hähnel, U. Mönks, V. Lohweg, SVM-integrated Fuzzy Pattern Classification for Nonconvex Data-Inherent Structures Applied to Banknote Authentication, in: BVAu 2012 - 3. Jahresolloquium “Bildverarbeitung in Der Automation” Centrum Industrial IT, Lemgo, inIT-Institut für industrielle Informationstechnik, 2012.' ieee: A.-J. Hempel, H. Hähnel, U. Mönks, and V. Lohweg, “SVM-integrated Fuzzy Pattern Classification for Nonconvex Data-Inherent Structures Applied to Banknote Authentication,” in BVAu 2012 - 3. Jahresolloquium “Bildverarbeitung in der Automation” Centrum Industrial IT, Lemgo, 2012. mla: Hempel, Arne-Jens, et al. “SVM-Integrated Fuzzy Pattern Classification for Nonconvex Data-Inherent Structures Applied to Banknote Authentication.” BVAu 2012 - 3. Jahresolloquium “Bildverarbeitung in Der Automation” Centrum Industrial IT, Lemgo, inIT-Institut für industrielle Informationstechnik, 2012. short: 'A.-J. Hempel, H. Hähnel, U. Mönks, V. Lohweg, in: BVAu 2012 - 3. Jahresolloquium “Bildverarbeitung in Der Automation” Centrum Industrial IT, Lemgo, inIT-Institut für industrielle Informationstechnik, 2012.' ufg: 'Hempel, Arne-Jens et. al. (2012): SVM-integrated Fuzzy Pattern Classification for Nonconvex Data-Inherent Structures Applied to Banknote Authentication, in: BVAu 2012 - 3. Jahresolloquium „Bildverarbeitung in der Automation“ Centrum Industrial IT, Lemgo,.' van: 'Hempel A-J, Hähnel H, Mönks U, Lohweg V. SVM-integrated Fuzzy Pattern Classification for Nonconvex Data-Inherent Structures Applied to Banknote Authentication. In: BVAu 2012 - 3 Jahresolloquium “Bildverarbeitung in der Automation” Centrum Industrial IT, Lemgo,. inIT-Institut für industrielle Informationstechnik; 2012.' date_created: 2019-12-03T06:50:52Z date_updated: 2023-03-15T13:49:38Z department: - _id: DEP5023 keyword: - fuzzy classification - pattern recognition - single-class support vector machine - data mining language: - iso: eng publication: BVAu 2012 - 3. Jahresolloquium "Bildverarbeitung in der Automation" Centrum Industrial IT, Lemgo, publisher: inIT-Institut für industrielle Informationstechnik status: public title: SVM-integrated Fuzzy Pattern Classification for Nonconvex Data-Inherent Structures Applied to Banknote Authentication type: conference user_id: '45673' year: 2012 ... --- _id: '2117' abstract: - lang: eng text: The present work aims at a statistically motivated parameterisation for a fuzzy classification approach. Its key points are the determination of robust parameterisations for the data-driven fuzzy class learning based an statistical analyses as well as the preservation of the interpretability of the fuzzy class models and the classification process. In particular, order statistics and Monte Carlo methods are used to determine distributions and moments of class border parameters. These distributions and moments are further applied to evaluate the robustness of parameters of the current fuzzy classification model and to propose alternative robust parameterisations. The feasibility of the approach is demonstrated in the context of a machine diagnosis application. author: - first_name: Holger full_name: Hähnel, Holger last_name: Hähnel - first_name: Arne-Jens full_name: Hempel, Arne-Jens last_name: Hempel - first_name: Uwe full_name: Mönks, Uwe id: '1825' last_name: Mönks - first_name: Volker full_name: Lohweg, Volker id: '1804' last_name: Lohweg orcid: 0000-0002-3325-7887 citation: ama: 'Hähnel H, Hempel A-J, Mönks U, Lohweg V. Integration of Statistical Analyses for Parametrisation of the Fuzzy Pattern Classification. In: Hüllermeier E, Hoffmann F, eds. 22. Workshop Computational Intelligence, 06.-7.12.2012, Dortmund . Düsseldorf: VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA); 2012:115-131.' apa: 'Hähnel, H., Hempel, A.-J., Mönks, U., & Lohweg, V. (2012). Integration of Statistical Analyses for Parametrisation of the Fuzzy Pattern Classification. In E. Hüllermeier & F. Hoffmann (Eds.), 22. Workshop Computational Intelligence, 06.-7.12.2012, Dortmund (pp. 115–131). Düsseldorf: VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA).' bjps: 'Hähnel H et al. (2012) Integration of Statistical Analyses for Parametrisation of the Fuzzy Pattern Classification. In Hüllermeier E and Hoffmann F (eds), 22. Workshop Computational Intelligence, 06.-7.12.2012, Dortmund . Düsseldorf: VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), pp. 115–131.' chicago: 'Hähnel, Holger, Arne-Jens Hempel, Uwe Mönks, and Volker Lohweg. “Integration of Statistical Analyses for Parametrisation of the Fuzzy Pattern Classification.” In 22. Workshop Computational Intelligence, 06.-7.12.2012, Dortmund , edited by Eike Hüllermeier and Frank Hoffmann, 115–31. Düsseldorf: VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), 2012.' chicago-de: 'Hähnel, Holger, Arne-Jens Hempel, Uwe Mönks und Volker Lohweg. 2012. Integration of Statistical Analyses for Parametrisation of the Fuzzy Pattern Classification. In: 22. Workshop Computational Intelligence, 06.-7.12.2012, Dortmund , hg. von Eike Hüllermeier und Frank Hoffmann, 115–131. Düsseldorf: VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA).' din1505-2-1: 'Hähnel, Holger ; Hempel, Arne-Jens ; Mönks, Uwe ; Lohweg, Volker: Integration of Statistical Analyses for Parametrisation of the Fuzzy Pattern Classification. In: Hüllermeier, E. ; Hoffmann, F. (Hrsg.): 22. Workshop Computational Intelligence, 06.-7.12.2012, Dortmund . Düsseldorf : VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), 2012, S. 115–131' havard: 'H. Hähnel, A.-J. Hempel, U. Mönks, V. Lohweg, Integration of Statistical Analyses for Parametrisation of the Fuzzy Pattern Classification, in: E. Hüllermeier, F. Hoffmann (Eds.), 22. Workshop Computational Intelligence, 06.-7.12.2012, Dortmund , VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), Düsseldorf, 2012: pp. 115–131.' ieee: H. Hähnel, A.-J. Hempel, U. Mönks, and V. Lohweg, “Integration of Statistical Analyses for Parametrisation of the Fuzzy Pattern Classification,” in 22. Workshop Computational Intelligence, 06.-7.12.2012, Dortmund , 2012, pp. 115–131. mla: Hähnel, Holger, et al. “Integration of Statistical Analyses for Parametrisation of the Fuzzy Pattern Classification.” 22. Workshop Computational Intelligence, 06.-7.12.2012, Dortmund , edited by Eike Hüllermeier and Frank Hoffmann, VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), 2012, pp. 115–31. short: 'H. Hähnel, A.-J. Hempel, U. Mönks, V. Lohweg, in: E. Hüllermeier, F. Hoffmann (Eds.), 22. Workshop Computational Intelligence, 06.-7.12.2012, Dortmund , VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), Düsseldorf, 2012, pp. 115–131.' ufg: 'Hähnel, Holger et. al. (2012): Integration of Statistical Analyses for Parametrisation of the Fuzzy Pattern Classification, in: Eike Hüllermeier/Frank Hoffmann (Hgg.): 22. Workshop Computational Intelligence, 06.-7.12.2012, Dortmund , Düsseldorf, S. 115–131.' van: 'Hähnel H, Hempel A-J, Mönks U, Lohweg V. Integration of Statistical Analyses for Parametrisation of the Fuzzy Pattern Classification. In: Hüllermeier E, Hoffmann F, editors. 22 Workshop Computational Intelligence, 06-7122012, Dortmund . Düsseldorf: VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA); 2012. p. 115–31.' date_created: 2019-12-03T06:59:40Z date_updated: 2023-03-15T13:49:38Z ddc: - '600' department: - _id: DEP5023 editor: - first_name: 'Eike ' full_name: 'Hüllermeier, Eike ' last_name: Hüllermeier - first_name: Frank full_name: Hoffmann, Frank last_name: Hoffmann file: - access_level: closed content_type: application/pdf creator: 6bl-f5s date_created: 2019-12-03T07:00:42Z date_updated: 2019-12-03T07:00:42Z file_id: '2118' file_name: lohweg_integration.pdf file_size: 728201 relation: main_file file_date_updated: 2019-12-03T07:00:42Z has_accepted_license: '1' keyword: - Fuzzy-Regelung language: - iso: eng page: 115-131 place: Düsseldorf publication: '22. Workshop Computational Intelligence, 06.-7.12.2012, Dortmund ' publication_identifier: isbn: - 978-3-86644-917-6 publisher: VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA) status: public title: Integration of Statistical Analyses for Parametrisation of the Fuzzy Pattern Classification 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: '2087' abstract: - lang: eng text: It is likely in real-world applications that only little data isavailable for training a knowledge-based system. We present a method forautomatically training the knowledge-representing membership functionsof a Fuzzy-Pattern-Classification system that works also when only littledata is available and the universal set is described insufficiently. Actually,this paper presents how the Modified-Fuzzy-Pattern-Classifier’s member-ship functions are trained using probability distribution functions. author: - first_name: Uwe full_name: Mönks, Uwe id: '1825' last_name: Mönks - first_name: Volker full_name: Lohweg, Volker id: '1804' last_name: Lohweg orcid: 0000-0002-3325-7887 - first_name: Denis full_name: Petker, Denis last_name: Petker citation: ama: 'Mönks U, Lohweg V, Petker D. Fuzzy-Pattern-Classifier Training with Small Data Sets. In: IPMU 2010 - International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems. 28 Jun 2010 - 02 July 2010, Dortmund, Germany; 2010.' apa: Mönks, U., Lohweg, V., & Petker, D. (2010). Fuzzy-Pattern-Classifier Training with Small Data Sets. In IPMU 2010 - International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems. 28 Jun 2010 - 02 July 2010, Dortmund, Germany. bjps: Mönks U, Lohweg V and Petker D (2010) Fuzzy-Pattern-Classifier Training with Small Data Sets. IPMU 2010 - International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems. 28 Jun 2010 - 02 July 2010, Dortmund, Germany. chicago: Mönks, Uwe, Volker Lohweg, and Denis Petker. “Fuzzy-Pattern-Classifier Training with Small Data Sets.” In IPMU 2010 - International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems. 28 Jun 2010 - 02 July 2010, Dortmund, Germany, 2010. chicago-de: 'Mönks, Uwe, Volker Lohweg und Denis Petker. 2010. Fuzzy-Pattern-Classifier Training with Small Data Sets. In: IPMU 2010 - International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems. 28 Jun 2010 - 02 July 2010, Dortmund, Germany.' din1505-2-1: 'Mönks, Uwe ; Lohweg, Volker ; Petker, Denis: Fuzzy-Pattern-Classifier Training with Small Data Sets. In: IPMU 2010 - International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems : 28 Jun 2010 - 02 July 2010, Dortmund, Germany, 2010' havard: 'U. Mönks, V. Lohweg, D. Petker, Fuzzy-Pattern-Classifier Training with Small Data Sets, in: IPMU 2010 - International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems, 28 Jun 2010 - 02 July 2010, Dortmund, Germany, 2010.' ieee: U. Mönks, V. Lohweg, and D. Petker, “Fuzzy-Pattern-Classifier Training with Small Data Sets,” in IPMU 2010 - International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems, 2010. mla: Mönks, Uwe, et al. “Fuzzy-Pattern-Classifier Training with Small Data Sets.” IPMU 2010 - International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems, 28 Jun 2010 - 02 July 2010, Dortmund, Germany, 2010. short: 'U. Mönks, V. Lohweg, D. Petker, in: IPMU 2010 - International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems, 28 Jun 2010 - 02 July 2010, Dortmund, Germany, 2010.' ufg: 'Mönks, Uwe et. al. (2010): Fuzzy-Pattern-Classifier Training with Small Data Sets, in: IPMU 2010 - International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems.' van: 'Mönks U, Lohweg V, Petker D. Fuzzy-Pattern-Classifier Training with Small Data Sets. In: IPMU 2010 - International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems. 28 Jun 2010 - 02 July 2010, Dortmund, Germany; 2010.' date_created: 2019-12-02T08:15:18Z date_updated: 2023-03-15T13:49:38Z department: - _id: DEP5023 keyword: - Fuzzy Logic - Probability Theory - Fuzzy-Pattern-Classification - Machine Learning - Artificial Intelligence - Pattern Recognition language: - iso: eng main_file_link: - open_access: '1' url: https://www.th-owl.de/init/uploads/tx_initdb/00800426_01.pdf oa: '1' publication: IPMU 2010 - International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems publication_status: published publisher: 28 Jun 2010 - 02 July 2010, Dortmund, Germany status: public title: Fuzzy-Pattern-Classifier Training with Small Data Sets type: conference user_id: '45673' year: 2010 ... --- _id: '2071' abstract: - lang: eng text: In this paper, a fuzzy pattern classification tuning approach is proposed, which is based on fusion concept. In this method, tuning parameters are learned in a training procedure, enabling system to be capable of managing individual classification task. Fuzzy c-means, as a specific instance of Tuning Reference, is employed as a tool to offer membership function which is used for making decisions and its membership function fuses (tunes) another membership function captured from fuzzy pattern classification and then final decisions are made upon fused one. Experiments are taken on five benchmark datasets, one of them shows an equal performance and the other four present better results than each single classifier. author: - first_name: Rui full_name: Li, Rui id: '2000' last_name: Li - first_name: Volker full_name: Lohweg, Volker id: '1804' last_name: Lohweg orcid: 0000-0002-3325-7887 citation: ama: 'Li R, Lohweg V. Fuzzy Pattern Classification Tuning by Parameter Learning based on Fusion Concept. In: In: The 11th Conference on Information Fusion, June 30 - July 3, Cologne, Germany; 2008.' apa: 'Li, R., & Lohweg, V. (2008). Fuzzy Pattern Classification Tuning by Parameter Learning based on Fusion Concept. In: The 11th Conference on Information Fusion, June 30 - July 3, Cologne, Germany.' bjps: 'Li R and Lohweg V (2008) Fuzzy Pattern Classification Tuning by Parameter Learning Based on Fusion Concept. In: The 11th Conference on Information Fusion, June 30 - July 3, Cologne, Germany.' chicago: 'Li, Rui, and Volker Lohweg. “Fuzzy Pattern Classification Tuning by Parameter Learning Based on Fusion Concept.” In: The 11th Conference on Information Fusion, June 30 - July 3, Cologne, Germany, 2008.' chicago-de: 'Li, Rui und Volker Lohweg. 2008. Fuzzy Pattern Classification Tuning by Parameter Learning based on Fusion Concept. In: . In: The 11th Conference on Information Fusion, June 30 - July 3, Cologne, Germany.' din1505-2-1: 'Li, Rui ; Lohweg, Volker: Fuzzy Pattern Classification Tuning by Parameter Learning based on Fusion Concept. In:  : In: The 11th Conference on Information Fusion, June 30 - July 3, Cologne, Germany, 2008' havard: 'R. Li, V. Lohweg, Fuzzy Pattern Classification Tuning by Parameter Learning based on Fusion Concept, in: In: The 11th Conference on Information Fusion, June 30 - July 3, Cologne, Germany, 2008.' ieee: R. Li and V. Lohweg, “Fuzzy Pattern Classification Tuning by Parameter Learning based on Fusion Concept,” 2008. mla: 'Li, Rui, and Volker Lohweg. Fuzzy Pattern Classification Tuning by Parameter Learning Based on Fusion Concept. In: The 11th Conference on Information Fusion, June 30 - July 3, Cologne, Germany, 2008.' short: 'R. Li, V. Lohweg, in: In: The 11th Conference on Information Fusion, June 30 - July 3, Cologne, Germany, 2008.' ufg: 'Li, Rui/Lohweg, Volker (2008): Fuzzy Pattern Classification Tuning by Parameter Learning based on Fusion Concept, in: .' van: 'Li R, Lohweg V. Fuzzy Pattern Classification Tuning by Parameter Learning based on Fusion Concept. In In: The 11th Conference on Information Fusion, June 30 - July 3, Cologne, Germany; 2008.' date_created: 2019-11-29T14:09:33Z date_updated: 2023-03-15T13:49:38Z department: - _id: DEP5023 keyword: - tuning parameter - information fusion - fuzzy cmeans - membership function - fuzzy pattern classification language: - iso: eng main_file_link: - url: https://ieeexplore.ieee.org/document/4632223/keywords#full-text-header publication_identifier: isbn: - 978-3-8007-3092-6 publication_status: published publisher: 'In: The 11th Conference on Information Fusion, June 30 - July 3, Cologne, Germany' status: public title: Fuzzy Pattern Classification Tuning by Parameter Learning based on Fusion Concept type: conference user_id: '45673' year: 2008 ... --- _id: '2062' abstract: - lang: eng text: 'Bank note inspection is a complex task. As more and more print techniques and new security features are established, total quality security and bank note printing must be assured. Therefore, this factor necessitates change of a sensorial concept in general. We propose an optical-acoustical inspection method based upon the concepts of information fusion and fuzzy interpretation of data measures. Furthermore, we present a simplified scheme for information fusion for pattern recognition and data classification based on parametrical unimodal potential functions and a Sugeno-type score value analysis. Digital Object Identifier: 10.1109/ICIF.2006.301779
' author: - first_name: Walter full_name: Dyck, Walter last_name: Dyck - first_name: Johannes full_name: Schaede, Johannes id: '2128' last_name: Schaede - first_name: Thomas full_name: Türke, Thomas last_name: Türke - first_name: Volker full_name: Lohweg, Volker id: '1804' last_name: Lohweg orcid: 0000-0002-3325-7887 citation: ama: 'Dyck W, Schaede J, Türke T, Lohweg V. Information Fusion Application On Security Printing With Parametrical Fuzzy Classification. In: 2006 9th International Conference on Information Fusion. 9th International Conference on Information Fusion, 2006. ICIF ’06; 2006:1-8. doi:10.1109/ICIF.2006.301779' apa: Dyck, W., Schaede, J., Türke, T., & Lohweg, V. (2006). Information Fusion Application On Security Printing With Parametrical Fuzzy Classification. In 2006 9th International Conference on Information Fusion (pp. 1–8). 9th International Conference on Information Fusion, 2006. ICIF ’06. https://doi.org/10.1109/ICIF.2006.301779 bjps: Dyck W et al. (2006) Information Fusion Application On Security Printing With Parametrical Fuzzy Classification. 2006 9th International Conference on Information Fusion. 9th International Conference on Information Fusion, 2006. ICIF ’06, pp. 1–8. chicago: Dyck, Walter, Johannes Schaede, Thomas Türke, and Volker Lohweg. “Information Fusion Application On Security Printing With Parametrical Fuzzy Classification.” In 2006 9th International Conference on Information Fusion, 1–8. 9th International Conference on Information Fusion, 2006. ICIF ’06, 2006. https://doi.org/10.1109/ICIF.2006.301779. chicago-de: 'Dyck, Walter, Johannes Schaede, Thomas Türke und Volker Lohweg. 2006. Information Fusion Application On Security Printing With Parametrical Fuzzy Classification. In: 2006 9th International Conference on Information Fusion, 1–8. 9th International Conference on Information Fusion, 2006. ICIF ’06. doi:10.1109/ICIF.2006.301779, .' din1505-2-1: 'Dyck, Walter ; Schaede, Johannes ; Türke, Thomas ; Lohweg, Volker: Information Fusion Application On Security Printing With Parametrical Fuzzy Classification. In: 2006 9th International Conference on Information Fusion : 9th International Conference on Information Fusion, 2006. ICIF ’06, 2006, S. 1–8' havard: 'W. Dyck, J. Schaede, T. Türke, V. Lohweg, Information Fusion Application On Security Printing With Parametrical Fuzzy Classification, in: 2006 9th International Conference on Information Fusion, 9th International Conference on Information Fusion, 2006. ICIF ’06, 2006: pp. 1–8.' ieee: W. Dyck, J. Schaede, T. Türke, and V. Lohweg, “Information Fusion Application On Security Printing With Parametrical Fuzzy Classification,” in 2006 9th International Conference on Information Fusion, 2006, pp. 1–8. mla: Dyck, Walter, et al. “Information Fusion Application On Security Printing With Parametrical Fuzzy Classification.” 2006 9th International Conference on Information Fusion, 9th International Conference on Information Fusion, 2006. ICIF ’06, 2006, pp. 1–8, doi:10.1109/ICIF.2006.301779. short: 'W. Dyck, J. Schaede, T. Türke, V. Lohweg, in: 2006 9th International Conference on Information Fusion, 9th International Conference on Information Fusion, 2006. ICIF ’06, 2006, pp. 1–8.' ufg: 'Dyck, Walter et. al. (2006): Information Fusion Application On Security Printing With Parametrical Fuzzy Classification, in: 2006 9th International Conference on Information Fusion, S. 1–8.' van: 'Dyck W, Schaede J, Türke T, Lohweg V. Information Fusion Application On Security Printing With Parametrical Fuzzy Classification. In: 2006 9th International Conference on Information Fusion. 9th International Conference on Information Fusion, 2006. ICIF ’06; 2006. p. 1–8.' date_created: 2019-11-29T13:35:03Z date_updated: 2023-03-15T13:49:38Z department: - _id: DEP5023 doi: 10.1109/ICIF.2006.301779 keyword: - Information security - Inspection - Printing machinery - Optical sensors - Data security - Personnel - Fuzzy systems - Sensor systems - Expert systems - Ink language: - iso: eng main_file_link: - url: https://ieeexplore.ieee.org/document/4086065/keywords#full-text-header page: 1-8 publication: ' 2006 9th International Conference on Information Fusion' publication_identifier: isbn: - ' 1-4244-0953-5' publication_status: published publisher: 9th International Conference on Information Fusion, 2006. ICIF '06 status: public title: Information Fusion Application On Security Printing With Parametrical Fuzzy Classification type: conference user_id: '45673' year: 2006 ... --- _id: '2058' abstract: - lang: eng text: Nonlinear spatial transforms and fuzzy pattern classification with unimodal potential functions are established in signal processing. They have proved to be excellent tools in feature extraction and classification. In this paper we present a hardware accelerated image processing and classification scheme for rotation and translation tolerant two-dimensional pattern recognition, which is based on one-dimensional nonlinear discrete circular transforms. However, the scheme is simple; it is stable and therefore well suited for industrial applications. An implementation on one field programmable gate array (FPGA) is proposed. author: - first_name: Tobias full_name: Henke, Tobias last_name: Henke - first_name: Volker full_name: Lohweg, Volker id: '1804' last_name: Lohweg orcid: 0000-0002-3325-7887 citation: ama: 'Henke T, Lohweg V. A Simplified Scheme For Hardware-Based Pattern Recognition. In: IEEE International Conference On Image Processing (ICIP), Proceedings. Genova: IEEE; 2005:349-352. doi: 10.1109/ICIP.2005.1529759' apa: 'Henke, T., & Lohweg, V. (2005). A Simplified Scheme For Hardware-Based Pattern Recognition. In IEEE International Conference On Image Processing (ICIP), Proceedings (pp. 349–352). Genova: IEEE. https://doi.org/ 10.1109/ICIP.2005.1529759' bjps: 'Henke T and Lohweg V (2005) A Simplified Scheme For Hardware-Based Pattern Recognition. IEEE International Conference On Image Processing (ICIP), Proceedings. Genova: IEEE, pp. 349–352.' chicago: 'Henke, Tobias, and Volker Lohweg. “A Simplified Scheme For Hardware-Based Pattern Recognition.” In IEEE International Conference On Image Processing (ICIP), Proceedings, 349–52. Genova: IEEE, 2005. https://doi.org/ 10.1109/ICIP.2005.1529759.' chicago-de: 'Henke, Tobias und Volker Lohweg. 2005. A Simplified Scheme For Hardware-Based Pattern Recognition. In: IEEE International Conference On Image Processing (ICIP), Proceedings, 349–352. Genova: IEEE. doi: 10.1109/ICIP.2005.1529759, .' din1505-2-1: 'Henke, Tobias ; Lohweg, Volker: A Simplified Scheme For Hardware-Based Pattern Recognition. In: IEEE International Conference On Image Processing (ICIP), Proceedings. Genova : IEEE, 2005, S. 349–352' havard: 'T. Henke, V. Lohweg, A Simplified Scheme For Hardware-Based Pattern Recognition, in: IEEE International Conference On Image Processing (ICIP), Proceedings, IEEE, Genova, 2005: pp. 349–352.' ieee: T. Henke and V. Lohweg, “A Simplified Scheme For Hardware-Based Pattern Recognition,” in IEEE International Conference On Image Processing (ICIP), Proceedings, 2005, pp. 349–352. mla: Henke, Tobias, and Volker Lohweg. “A Simplified Scheme For Hardware-Based Pattern Recognition.” IEEE International Conference On Image Processing (ICIP), Proceedings, IEEE, 2005, pp. 349–52, doi: 10.1109/ICIP.2005.1529759. short: 'T. Henke, V. Lohweg, in: IEEE International Conference On Image Processing (ICIP), Proceedings, IEEE, Genova, 2005, pp. 349–352.' ufg: 'Henke, Tobias/Lohweg, Volker (2005): A Simplified Scheme For Hardware-Based Pattern Recognition, in: IEEE International Conference On Image Processing (ICIP), Proceedings, Genova, S. 349–352.' van: 'Henke T, Lohweg V. A Simplified Scheme For Hardware-Based Pattern Recognition. In: IEEE International Conference On Image Processing (ICIP), Proceedings. Genova: IEEE; 2005. p. 349–52.' date_created: 2019-11-29T13:17:49Z date_updated: 2023-03-15T13:49:38Z department: - _id: DEP5023 doi: ' 10.1109/ICIP.2005.1529759' keyword: - Pattern recognition - Field programmable gate arrays - Neural networks - Image processing - Discrete transforms - Signal processing - Image retrieval - Image recognition - Transient analysis - Fuzzy systems language: - iso: eng main_file_link: - url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1529759 page: 349 - 352 place: Genova publication: IEEE International Conference On Image Processing (ICIP), Proceedings publication_identifier: eissn: - '2381-8549 ' isbn: - 0-7803-9134-9 issn: - '1522-4880 ' publication_status: published publisher: IEEE status: public title: A Simplified Scheme For Hardware-Based Pattern Recognition type: conference user_id: '45673' year: 2005 ... --- _id: '2056' abstract: - lang: eng text: Nonlinear spatial transforms and fuzzy pattern classification with unimodal potential functions are established in signal processing. They have proved to be excellent tools in feature extraction and classification. In this paper, we will present a hardware-accelerated image processing and classification system which is implemented on one field-programmable gate array (FPGA). Nonlinear discrete circular transforms generate a feature vector. The features are analyzed by a fuzzy classifier. This principle can be used for feature extraction, pattern recognition, and classification tasks. Implementation in radix-2 structures is possible, allowing fast calculations with a computational complexity of up to. Furthermore, the pattern separability properties of these transforms are better than those achieved with the well-known method based on the power spectrum of the Fourier Transform, or on several other transforms. Using different signal flow structures, the transforms can be adapted to different image and signal processing applications. author: - first_name: Volker full_name: Lohweg, Volker id: '1804' last_name: Lohweg orcid: 0000-0002-3325-7887 - first_name: Carsten full_name: Diederichs, Carsten id: '44209' last_name: Diederichs - first_name: Dietmar full_name: Müller, Dietmar last_name: Müller citation: ama: 'Lohweg V, Diederichs C, Müller D. Algorithms for Hardware-Based Pattern Recognition. EURASIP journal on applied signal processing : a publication of the European Association for Speech, Signal, and Image Processing . 2004;12(1):1912-1920. doi:https://doi.org/10.1155/S1110865704404247' apa: 'Lohweg, V., Diederichs, C., & Müller, D. (2004). Algorithms for Hardware-Based Pattern Recognition. EURASIP Journal on Applied Signal Processing : A Publication of the European Association for Speech, Signal, and Image Processing , 12(1), 1912–1920. https://doi.org/10.1155/S1110865704404247' bjps: 'Lohweg V, Diederichs C and Müller D (2004) Algorithms for Hardware-Based Pattern Recognition. EURASIP journal on applied signal processing : a publication of the European Association for Speech, Signal, and Image Processing 12, 1912–1920.' chicago: 'Lohweg, Volker, Carsten Diederichs, and Dietmar Müller. “Algorithms for Hardware-Based Pattern Recognition.” EURASIP Journal on Applied Signal Processing : A Publication of the European Association for Speech, Signal, and Image Processing 12, no. 1 (2004): 1912–20. https://doi.org/10.1155/S1110865704404247.' chicago-de: 'Lohweg, Volker, Carsten Diederichs und Dietmar Müller. 2004. Algorithms for Hardware-Based Pattern Recognition. EURASIP journal on applied signal processing : a publication of the European Association for Speech, Signal, and Image Processing 12, Nr. 1: 1912–1920. doi:https://doi.org/10.1155/S1110865704404247, .' din1505-2-1: 'Lohweg, Volker ; Diederichs, Carsten ; Müller, Dietmar: Algorithms for Hardware-Based Pattern Recognition. In: EURASIP journal on applied signal processing : a publication of the European Association for Speech, Signal, and Image Processing Bd. 12. Akron, Ohio, Hindawi Publ. (2004), Nr. 1, S. 1912–1920' havard: 'V. Lohweg, C. Diederichs, D. Müller, Algorithms for Hardware-Based Pattern Recognition, EURASIP Journal on Applied Signal Processing : A Publication of the European Association for Speech, Signal, and Image Processing . 12 (2004) 1912–1920.' ieee: 'V. Lohweg, C. Diederichs, and D. Müller, “Algorithms for Hardware-Based Pattern Recognition,” EURASIP journal on applied signal processing : a publication of the European Association for Speech, Signal, and Image Processing , vol. 12, no. 1, pp. 1912–1920, 2004.' mla: 'Lohweg, Volker, et al. “Algorithms for Hardware-Based Pattern Recognition.” EURASIP Journal on Applied Signal Processing : A Publication of the European Association for Speech, Signal, and Image Processing , vol. 12, no. 1, Hindawi Publ., 2004, pp. 1912–20, doi:https://doi.org/10.1155/S1110865704404247.' short: 'V. Lohweg, C. Diederichs, D. Müller, EURASIP Journal on Applied Signal Processing : A Publication of the European Association for Speech, Signal, and Image Processing 12 (2004) 1912–1920.' ufg: 'Lohweg, Volker et. al. (2004): Algorithms for Hardware-Based Pattern Recognition, in: EURASIP journal on applied signal processing : a publication of the European Association for Speech, Signal, and Image Processing 12 (1), S. 1912–1920.' van: 'Lohweg V, Diederichs C, Müller D. Algorithms for Hardware-Based Pattern Recognition. EURASIP journal on applied signal processing : a publication of the European Association for Speech, Signal, and Image Processing . 2004;12(1):1912–20.' date_created: 2019-11-29T13:09:05Z date_updated: 2023-03-15T13:49:38Z department: - _id: DEP5023 doi: https://doi.org/10.1155/S1110865704404247 intvolume: ' 12' issue: '1' keyword: - image processing - nonlinear circular transforms - feature extraction - fuzzy pattern recognition language: - iso: eng main_file_link: - open_access: '1' url: https://asp-eurasipjournals.springeropen.com/track/pdf/10.1155/S1110865704404247 oa: '1' page: 1912-1920 place: Akron, Ohio publication: 'EURASIP journal on applied signal processing : a publication of the European Association for Speech, Signal, and Image Processing ' publication_identifier: issn: - '1110-8657 ' publication_status: published publisher: Hindawi Publ. status: public title: Algorithms for Hardware-Based Pattern Recognition type: journal_article user_id: '15514' volume: 12 year: 2004 ... --- _id: '2053' abstract: - lang: ger text: In vielen Bereichen der ein- und zweidimensionalen Signalverarbeitung besteht die Aufgabe Signale oder Objekte unabhängig von ihren aktuellen Positionen mittels geeigneter Merkmale zu klassifizieren. Mit Hilfe schneller nichtlinearer Spektraltransformationen ist eine positionsinvariante Merkmalgewinnung möglich. In dieser Arbeit werden reelle Transformationen vorgestellt, deren Eigenschaften in Bezug auf verschiedene Parameter angepasst werden können. Zu nennen ist das gruppeninvariante Verhalten, der rechentechnische Aufwand und die Implementierbarkeit in applikationsspezifische Schaltungen. Durch unterschiedliche Berechnungsstrukturen kann beispielsweise die Separationseigenschaft aufgabengemäß adaptiert werden. Basierend auf dem Konzept charakteristischer Matrizen wird ein generalisiertes Verfahren zur Berechnung der Transformationen abgeleitet. Bezüglich ihrer Charakteristika können die vorzustellenden Transformationen gegenüber anderen als ebenbürtig oder sogar überlegen bezeichnet werden. In Kombination mit einem Fuzzy-Klassifikationsverfahren (Fuzzy-Pattern-Classification, FPC) wird ein System-On-Programmable-Chip Mustererkennungssystem entwickelt, das auf einem programmierbaren applikationsspezifischen Schaltkreis (FPGA) implementiert wird. Das System ist in der Lage pixel-basierende Bilder zu klassifizieren. In der Anwendung der Druckbildinspektion erweist sich das Mustererkennungssystem als praxisgerecht einsetzbar. - lang: eng text: ' Image retrieval, texture analysis, optical character recognition and general inspection tasks are of main interest in the field of image processing and pattern recognition. Methods which operate automatically are of interest in the above mentioned areas. Therefore, translation invariant transforms are helpful tools for pattern recognition tasks. Nonlinear spatial transforms and fuzzy pattern classification with unimodal potential functions are established in signal processing. They have proved to be excellent tools in feature extraction and classification. In this thesis nonlinear discrete transforms, which are adaptable for different application tasks, will be presented. The adaptivity includes the group specific behaviour, the amount of calculations and the implementability in application specific integrated circuits. The pattern separability properties of these transforms are better compared to that of the well known power spectrum of the Fourier transform and several other known transforms. Furthermore, a hardware accelerator image processing and classification system will presented, which is implemented on one field programmable gate array (FPGA). The system can be used for feature extraction, pattern recognition and classification tasks. In the field of printed image inspection the system is applicable under practical aspects.' alternative_title: - ' On Effective Implementation of Adaptive Spectral Transforms in Application Specific Integrated Circuits' author: - first_name: Volker full_name: Lohweg, Volker id: '1804' last_name: Lohweg orcid: 0000-0002-3325-7887 citation: ama: 'Lohweg V. Ein Beitrag zur effektiven Implementierung adaptiver Spektraltransformationen in applikationsspezifische integrierte Schaltkreise. Chemnitz: Technische Universität Chemnitz; 2003.' apa: 'Lohweg, V. (2003). Ein Beitrag zur effektiven Implementierung adaptiver Spektraltransformationen in applikationsspezifische integrierte Schaltkreise. Chemnitz: Technische Universität Chemnitz.' bjps: 'Lohweg V (2003) Ein Beitrag zur effektiven Implementierung adaptiver Spektraltransformationen in applikationsspezifische integrierte Schaltkreise. Chemnitz: Technische Universität Chemnitz.' chicago: 'Lohweg, Volker. Ein Beitrag zur effektiven Implementierung adaptiver Spektraltransformationen in applikationsspezifische integrierte Schaltkreise. Chemnitz: Technische Universität Chemnitz, 2003.' chicago-de: 'Lohweg, Volker. 2003. Ein Beitrag zur effektiven Implementierung adaptiver Spektraltransformationen in applikationsspezifische integrierte Schaltkreise. Chemnitz: Technische Universität Chemnitz.' din1505-2-1: 'Lohweg, Volker: Ein Beitrag zur effektiven Implementierung adaptiver Spektraltransformationen in applikationsspezifische integrierte Schaltkreise. Chemnitz : Technische Universität Chemnitz, 2003' havard: V. Lohweg, Ein Beitrag zur effektiven Implementierung adaptiver Spektraltransformationen in applikationsspezifische integrierte Schaltkreise, Technische Universität Chemnitz, Chemnitz, 2003. ieee: 'V. Lohweg, Ein Beitrag zur effektiven Implementierung adaptiver Spektraltransformationen in applikationsspezifische integrierte Schaltkreise. Chemnitz: Technische Universität Chemnitz, 2003.' mla: Lohweg, Volker. Ein Beitrag zur effektiven Implementierung adaptiver Spektraltransformationen in applikationsspezifische integrierte Schaltkreise. Technische Universität Chemnitz, 2003. short: V. Lohweg, Ein Beitrag zur effektiven Implementierung adaptiver Spektraltransformationen in applikationsspezifische integrierte Schaltkreise, Technische Universität Chemnitz, Chemnitz, 2003. ufg: 'Lohweg, Volker (2003): Ein Beitrag zur effektiven Implementierung adaptiver Spektraltransformationen in applikationsspezifische integrierte Schaltkreise, Chemnitz.' van: 'Lohweg V. Ein Beitrag zur effektiven Implementierung adaptiver Spektraltransformationen in applikationsspezifische integrierte Schaltkreise. Chemnitz: Technische Universität Chemnitz; 2003. 207 p.' date_created: 2019-11-29T12:54:10Z date_updated: 2023-03-15T13:49:38Z ddc: - '620' department: - _id: DEP5023 keyword: - ASIC - Abbildungseigenschaft - Druckbildkontrolle - Prozessorelement - Systolisches Array - Fuzzy-Maß - Invarianz - Klassifikation - Mehrdimensionale Bildverarbeitung - Mustererkennung - Nichtlineare Transformation language: - iso: ger main_file_link: - open_access: '1' url: https://nbn-resolving.org/urn:nbn:de:swb:ch1-200400031 oa: '1' page: '207' place: Chemnitz publication_status: published publisher: Technische Universität Chemnitz status: public supervisor: - first_name: Dietmar full_name: Müller, Dietmar last_name: Müller - first_name: Gerd full_name: Scarbata, Gerd last_name: Scarbata - first_name: Norman full_name: Bitterlin, Norman last_name: Bitterlin title: Ein Beitrag zur effektiven Implementierung adaptiver Spektraltransformationen in applikationsspezifische integrierte Schaltkreise type: dissertation user_id: '45673' year: 2003 ...