--- _id: '13012' abstract: - lang: eng text: The aim of the study is to provide an up-to date overall evaluation of visual contamination occurring on the slaughter line in order to provide a basis for implementing contamination control measures and to the hygienic quality of the processes. For this purpose, 627 contaminated pig carcasses in an industrial slaughterhouse in north western Germany were examined in 2021 for its distribution of type, areal extent and localization of slaughter contamination. Prior to official meat inspection, two persons visually scanned dorsal and ventral surfaces of the eviscerated but not yet split pig carcasses from cranial to caudal and recorded types, areal extent and localization of the contamination. The main contamination type were intestinal contents, bile, stomach contents, tubular rail fat and “others”, which mostly consisted of a reddish foam from the respiratory tract. 103 out of 627 contaminated animals showed more than one contamination, which leads to a total number of 754 contaminations detected. Intestinal contents accounted for almost half of all contaminations and “others” for 30%. Forelimb, back and ham together counted for 70% of the contaminated regions. The affected area was smaller than that of a one euro coin (diameter about 23 mm) in 86% of the cases. article_number: '109365' author: - first_name: Janna full_name: Tholen, Janna id: '80924' last_name: Tholen - first_name: J. full_name: Grosse-Kleimann, J. last_name: Grosse-Kleimann - first_name: G. full_name: Schulze Althoff, G. last_name: Schulze Althoff - first_name: L. full_name: Kreienbrock, L. last_name: Kreienbrock - first_name: Matthias full_name: Upmann, Matthias id: '12666' last_name: Upmann citation: ama: Tholen J, Grosse-Kleimann J, Schulze Althoff G, Kreienbrock L, Upmann M. Type, areal extent and localization of carcass contaminations during industrial pig slaughter. Meat Science. 2023;208(2). doi:10.1016/j.meatsci.2023.109365 apa: Tholen, J., Grosse-Kleimann, J., Schulze Althoff, G., Kreienbrock, L., & Upmann, M. (2023). Type, areal extent and localization of carcass contaminations during industrial pig slaughter. Meat Science, 208(2), Article 109365. https://doi.org/10.1016/j.meatsci.2023.109365 bjps: Tholen J et al. (2023) Type, Areal Extent and Localization of Carcass Contaminations during Industrial Pig Slaughter. Meat Science 208. chicago: Tholen, Janna, J. Grosse-Kleimann, G. Schulze Althoff, L. Kreienbrock, and Matthias Upmann. “Type, Areal Extent and Localization of Carcass Contaminations during Industrial Pig Slaughter.” Meat Science 208, no. 2 (2023). https://doi.org/10.1016/j.meatsci.2023.109365. chicago-de: Tholen, Janna, J. Grosse-Kleimann, G. Schulze Althoff, L. Kreienbrock und Matthias Upmann. 2023. Type, areal extent and localization of carcass contaminations during industrial pig slaughter. Meat Science 208, Nr. 2. doi:10.1016/j.meatsci.2023.109365, . din1505-2-1: 'Tholen, Janna ; Grosse-Kleimann, J. ; Schulze Althoff, G. ; Kreienbrock, L. ; Upmann, Matthias: Type, areal extent and localization of carcass contaminations during industrial pig slaughter. In: Meat Science Bd. 208. London [u.a.], Elsevier BV (2023), Nr. 2' havard: J. Tholen, J. Grosse-Kleimann, G. Schulze Althoff, L. Kreienbrock, M. Upmann, Type, areal extent and localization of carcass contaminations during industrial pig slaughter, Meat Science. 208 (2023). ieee: 'J. Tholen, J. Grosse-Kleimann, G. Schulze Althoff, L. Kreienbrock, and M. Upmann, “Type, areal extent and localization of carcass contaminations during industrial pig slaughter,” Meat Science, vol. 208, no. 2, Art. no. 109365, 2023, doi: 10.1016/j.meatsci.2023.109365.' mla: Tholen, Janna, et al. “Type, Areal Extent and Localization of Carcass Contaminations during Industrial Pig Slaughter.” Meat Science, vol. 208, no. 2, 109365, 2023, https://doi.org/10.1016/j.meatsci.2023.109365. short: J. Tholen, J. Grosse-Kleimann, G. Schulze Althoff, L. Kreienbrock, M. Upmann, Meat Science 208 (2023). ufg: 'Tholen, Janna u. a.: Type, areal extent and localization of carcass contaminations during industrial pig slaughter, in: Meat Science 208 (2023), H. 2.' van: Tholen J, Grosse-Kleimann J, Schulze Althoff G, Kreienbrock L, Upmann M. Type, areal extent and localization of carcass contaminations during industrial pig slaughter. Meat Science. 2023;208(2). date_created: 2025-06-24T12:08:29Z date_updated: 2025-06-25T12:40:42Z department: - _id: DEP4029 doi: 10.1016/j.meatsci.2023.109365 external_id: isi: - '001111539700001' pmid: - '37939509' intvolume: ' 208' isi: '1' issue: '2' keyword: - Abattoir - Slaughter hygiene - Evisceration - Pork production - Pig carcass contamination - Fecal contamination - Bile contamination - Meat inspection language: - iso: eng place: London [u.a.] pmid: '1' publication: Meat Science publication_identifier: eissn: - 1873-4138 issn: - 0309-1740 publication_status: published publisher: Elsevier BV quality_controlled: '1' status: public title: Type, areal extent and localization of carcass contaminations during industrial pig slaughter type: scientific_journal_article user_id: '83781' volume: 208 year: '2023' ... --- _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 ... --- _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 ...