[{"has_accepted_license":"1","ddc":["570"],"title":"Short Review on Microbial Transglutaminase (mTGase) as a Structuring Tool in Plant-Based Meat Alternatives: Mechanisms, Applications, Future Perspectives, Consumer Concerns and Market Adoption","status":"public","author":[{"first_name":"Eberhard","full_name":"Süßle, Eberhard","last_name":"Süßle","id":"85848"}],"publisher":"Technische Hochschule Ostwestfalen-Lippe","abstract":[{"text":"Plant-based meat alternatives continue to gain market relevance due to sustainability, ethical, and health considerations. However, replicating the texture, cohesion, and sensory attributes of animal-derived meat remains a major technological challenge. Microbial transglutaminase (mTGase), an enzyme that catalyzes covalent cross-linking between glutamine and lysine residues in proteins, has emerged as a promising structuring tool for improving protein network formation in plant-based systems. Produced via microbial fermentation, mTGase is calcium-independent and active across a broad range of food-processing conditions. This review summarizes the mechanism of action of mTGase, its reactivity toward major plant protein sources, and its functional role in comminuted, emulsified, and structured plant-based meat products. Particular emphasis is placed on the integration of mTGase with physical structuring technologies such as extrusion and shear-cell processing. Overall, mTGase represents a versatile enzymatic strategy for enhancing texture and cohesion while reducing reliance on synthetic binders in clean-label plant-based meat alternatives.","lang":"eng"}],"publication_status":"published","year":"2026","citation":{"ama":"Süßle E. Short Review on Microbial Transglutaminase (mTGase) as a Structuring Tool in Plant-Based Meat Alternatives: Mechanisms, Applications, Future Perspectives, Consumer Concerns and Market Adoption. Published online 2026. doi:10.25644/7yns-b575","short":"E. Süßle, (2026).","havard":"E. Süßle, Short Review on Microbial Transglutaminase (mTGase) as a Structuring Tool in Plant-Based Meat Alternatives: Mechanisms, Applications, Future Perspectives, Consumer Concerns and Market Adoption, (2026).","bjps":"Süßle E (2026) Short Review on Microbial Transglutaminase (MTGase) as a Structuring Tool in Plant-Based Meat Alternatives: Mechanisms, Applications, Future Perspectives, Consumer Concerns and Market Adoption.","chicago-de":"Süßle, Eberhard. 2026. Short Review on Microbial Transglutaminase (mTGase) as a Structuring Tool in Plant-Based Meat Alternatives: Mechanisms, Applications, Future Perspectives, Consumer Concerns and Market Adoption. Technische Hochschule Ostwestfalen-Lippe. doi:10.25644/7yns-b575, .","ufg":"Süßle, Eberhard: Short Review on Microbial Transglutaminase (mTGase) as a Structuring Tool in Plant-Based Meat Alternatives: Mechanisms, Applications, Future Perspectives, Consumer Concerns and Market Adoption, o. O. 2026.","ieee":"E. Süßle, “Short Review on Microbial Transglutaminase (mTGase) as a Structuring Tool in Plant-Based Meat Alternatives: Mechanisms, Applications, Future Perspectives, Consumer Concerns and Market Adoption.” Technische Hochschule Ostwestfalen-Lippe, 2026. doi: 10.25644/7yns-b575.","van":"Süßle E. Short Review on Microbial Transglutaminase (mTGase) as a Structuring Tool in Plant-Based Meat Alternatives: Mechanisms, Applications, Future Perspectives, Consumer Concerns and Market Adoption. Technische Hochschule Ostwestfalen-Lippe; 2026.","mla":"Süßle, Eberhard. Short Review on Microbial Transglutaminase (MTGase) as a Structuring Tool in Plant-Based Meat Alternatives: Mechanisms, Applications, Future Perspectives, Consumer Concerns and Market Adoption. Technische Hochschule Ostwestfalen-Lippe, 2026, https://doi.org/10.25644/7yns-b575.","chicago":"Süßle, Eberhard. “Short Review on Microbial Transglutaminase (MTGase) as a Structuring Tool in Plant-Based Meat Alternatives: Mechanisms, Applications, Future Perspectives, Consumer Concerns and Market Adoption.” Technische Hochschule Ostwestfalen-Lippe, 2026. https://doi.org/10.25644/7yns-b575.","din1505-2-1":"Süßle, Eberhard: Short Review on Microbial Transglutaminase (mTGase) as a Structuring Tool in Plant-Based Meat Alternatives: Mechanisms, Applications, Future Perspectives, Consumer Concerns and Market Adoption, Technische Hochschule Ostwestfalen-Lippe (2026)","apa":"Süßle, E. (2026). Short Review on Microbial Transglutaminase (mTGase) as a Structuring Tool in Plant-Based Meat Alternatives: Mechanisms, Applications, Future Perspectives, Consumer Concerns and Market Adoption. Technische Hochschule Ostwestfalen-Lippe. https://doi.org/10.25644/7yns-b575"},"type":"preprint","oa":"1","file_date_updated":"2026-03-27T09:30:11Z","department":[{"_id":"DEP4000"},{"_id":"DEP4029"}],"date_created":"2026-03-27T09:31:16Z","date_updated":"2026-04-13T11:07:34Z","user_id":"83781","doi":"10.25644/7yns-b575","keyword":["microbial transglutaminase","plant-based meat","protein cross-linking","meat analogues","texture modification","regulatory classification","consumer perception","market adoption"],"page":"5","file":[{"file_name":"Final_mTGtase.pdf","relation":"main_file","file_id":"13630","file_size":152847,"date_updated":"2026-03-27T09:30:11Z","date_created":"2026-03-27T09:30:11Z","success":1,"content_type":"application/pdf","creator":"adm-40d-sm4","access_level":"open_access"}],"_id":"13629","language":[{"iso":"eng"}]},{"doi":"10.1016/j.lwt.2024.117148","user_id":"83781","date_created":"2024-12-10T11:15:15Z","department":[{"_id":"DEP4028"},{"_id":"DEP4029"}],"date_updated":"2024-12-11T08:25:27Z","type":"scientific_journal_article","citation":{"short":"S.M. Caraballo, S. Trültzsch, S. Struck, H. Rohm, LWT - Food Science and Technology : An Official Journal of the Swiss Society of Food Science and Technology (SGLWT/SOSSTA) and the International Union of Food Science and Technology (IUFoST) 214 (2024).","ama":"Caraballo SM, Trültzsch S, Struck S, Rohm H. Dry fractionation of sunflower press cake as tool to improve its technofunctional properties. LWT - food science and technology : an official journal of the Swiss Society of Food Science and Technology (SGLWT/SOSSTA) and the International Union of Food Science and Technology (IUFoST). 2024;214. doi:10.1016/j.lwt.2024.117148","mla":"Caraballo, Sophie Morejón, et al. “Dry Fractionation of Sunflower Press Cake as Tool to Improve Its Technofunctional Properties.” LWT - Food Science and Technology : An Official Journal of the Swiss Society of Food Science and Technology (SGLWT/SOSSTA) and the International Union of Food Science and Technology (IUFoST), vol. 214, 117148, 2024, https://doi.org/10.1016/j.lwt.2024.117148.","chicago":"Caraballo, Sophie Morejón, Stephanie Trültzsch, Susanne Struck, and Harald Rohm. “Dry Fractionation of Sunflower Press Cake as Tool to Improve Its Technofunctional Properties.” LWT - Food Science and Technology : An Official Journal of the Swiss Society of Food Science and Technology (SGLWT/SOSSTA) and the International Union of Food Science and Technology (IUFoST) 214 (2024). https://doi.org/10.1016/j.lwt.2024.117148.","ieee":"S. M. Caraballo, S. Trültzsch, S. Struck, and H. Rohm, “Dry fractionation of sunflower press cake as tool to improve its technofunctional properties,” LWT - food science and technology : an official journal of the Swiss Society of Food Science and Technology (SGLWT/SOSSTA) and the International Union of Food Science and Technology (IUFoST), vol. 214, Art. no. 117148, 2024, doi: 10.1016/j.lwt.2024.117148.","van":"Caraballo SM, Trültzsch S, Struck S, Rohm H. Dry fractionation of sunflower press cake as tool to improve its technofunctional properties. LWT - food science and technology : an official journal of the Swiss Society of Food Science and Technology (SGLWT/SOSSTA) and the International Union of Food Science and Technology (IUFoST). 2024;214.","bjps":"Caraballo SM et al. (2024) Dry Fractionation of Sunflower Press Cake as Tool to Improve Its Technofunctional Properties. LWT - food science and technology : an official journal of the Swiss Society of Food Science and Technology (SGLWT/SOSSTA) and the International Union of Food Science and Technology (IUFoST) 214.","ufg":"Caraballo, Sophie Morejón u. a.: Dry fractionation of sunflower press cake as tool to improve its technofunctional properties, in: LWT - food science and technology : an official journal of the Swiss Society of Food Science and Technology (SGLWT/SOSSTA) and the International Union of Food Science and Technology (IUFoST) 214 (2024).","chicago-de":"Caraballo, Sophie Morejón, Stephanie Trültzsch, Susanne Struck und Harald Rohm. 2024. Dry fractionation of sunflower press cake as tool to improve its technofunctional properties. LWT - food science and technology : an official journal of the Swiss Society of Food Science and Technology (SGLWT/SOSSTA) and the International Union of Food Science and Technology (IUFoST) 214. doi:10.1016/j.lwt.2024.117148, .","apa":"Caraballo, S. M., Trültzsch, S., Struck, S., & Rohm, H. (2024). Dry fractionation of sunflower press cake as tool to improve its technofunctional properties. LWT - Food Science and Technology : An Official Journal of the Swiss Society of Food Science and Technology (SGLWT/SOSSTA) and the International Union of Food Science and Technology (IUFoST), 214, Article 117148. https://doi.org/10.1016/j.lwt.2024.117148","havard":"S.M. Caraballo, S. Trültzsch, S. Struck, H. Rohm, Dry fractionation of sunflower press cake as tool to improve its technofunctional properties, LWT - Food Science and Technology : An Official Journal of the Swiss Society of Food Science and Technology (SGLWT/SOSSTA) and the International Union of Food Science and Technology (IUFoST). 214 (2024).","din1505-2-1":"Caraballo, Sophie Morejón ; Trültzsch, Stephanie ; Struck, Susanne ; Rohm, Harald: Dry fractionation of sunflower press cake as tool to improve its technofunctional properties. In: LWT - food science and technology : an official journal of the Swiss Society of Food Science and Technology (SGLWT/SOSSTA) and the International Union of Food Science and Technology (IUFoST) Bd. 214. Amsterdam, Elsevier BV (2024)"},"year":"2024","language":[{"iso":"eng"}],"_id":"12254","place":"Amsterdam","keyword":["Sieving","Air classification","Particle size","Water binding","Foaming","Emulsification"],"article_number":"117148","title":"Dry fractionation of sunflower press cake as tool to improve its technofunctional properties","intvolume":" 214","volume":214,"publication_identifier":{"issn":["0023-6438"],"eissn":["1096-1127"]},"publication_status":"published","abstract":[{"lang":"eng","text":"Depending on the oil production technology, at least 60% of the oilseeds input such as sunflower, pumpkin or canola remain as by-product, which is usually denoted as press cake (PC) and contains a significant amount of fiber and protein. Its further valorization in food requires knowledge on the technofunctional properties of the press cake and on possibilities for improving its value. Aim of the current study was to evaluate the effect of two separation techniques, namely targeted sieving and air classification, on composition, and physical as well as technofunctional properties of fractions of sunflower press cake previously milled to <1.0 mm or <2.0 mm. It is evident for both separation techniques that fines fractions obtained by using smaller sieves or lower air volume flow showed an increased protein content, with a protein enrichment factor of up to 1.47. Using PC < 2.0 mm as raw material, protein separation efficiency, a combined measure for protein content and yield, was higher after separation by air classification. Whereas protein solubility was not affected by the particle size distribution of the separated fractions, emulsion activity and emulsion stability were improved especially for the small particle fractions separated from PC < 2.0 mm."}],"author":[{"first_name":"Sophie Morejón","full_name":"Caraballo, Sophie Morejón","last_name":"Caraballo"},{"last_name":"Trültzsch","first_name":"Stephanie","full_name":"Trültzsch, Stephanie"},{"first_name":"Susanne","full_name":"Struck, Susanne","last_name":"Struck","orcid":"https://orcid.org/0000-0002-1281-5966","id":"85030"},{"first_name":"Harald","full_name":"Rohm, Harald","last_name":"Rohm"}],"publisher":"Elsevier BV","publication":" LWT - food science and technology : an official journal of the Swiss Society of Food Science and Technology (SGLWT/SOSSTA) and the International Union of Food Science and Technology (IUFoST)","status":"public"},{"article_number":"2153","keyword":["wet granulation","acoustic classification","machine learning","convolutional neural networks"],"language":[{"iso":"eng"}],"_id":"10216","quality_controlled":"1","place":"Basel","type":"scientific_journal_article","citation":{"mla":"Fulek, Ruwen, et al. “A Machine Learning Approach to Qualitatively Evaluate Different Granulation Phases by Acoustic Emissions.” Pharmaceutics, vol. 15, no. 8, 2153, 2023, https://doi.org/10.3390/pharmaceutics15082153.","chicago":"Fulek, Ruwen, Selina Ramm, Christian Kiera, Miriam Pein-Hackelbusch, and Ulrich Odefey. “A Machine Learning Approach to Qualitatively Evaluate Different Granulation Phases by Acoustic Emissions.” Pharmaceutics 15, no. 8 (2023). https://doi.org/10.3390/pharmaceutics15082153.","van":"Fulek R, Ramm S, Kiera C, Pein-Hackelbusch M, Odefey U. A machine learning approach to qualitatively evaluate different granulation phases by acoustic emissions. Pharmaceutics. 2023;15(8).","ieee":"R. Fulek, S. Ramm, C. Kiera, M. Pein-Hackelbusch, and U. Odefey, “A machine learning approach to qualitatively evaluate different granulation phases by acoustic emissions,” Pharmaceutics, vol. 15, no. 8, Art. no. 2153, 2023, doi: https://doi.org/10.3390/pharmaceutics15082153.","apa":"Fulek, R., Ramm, S., Kiera, C., Pein-Hackelbusch, M., & Odefey, U. (2023). A machine learning approach to qualitatively evaluate different granulation phases by acoustic emissions. Pharmaceutics, 15(8), Article 2153. https://doi.org/10.3390/pharmaceutics15082153","din1505-2-1":"Fulek, Ruwen ; Ramm, Selina ; Kiera, Christian ; Pein-Hackelbusch, Miriam ; Odefey, Ulrich: A machine learning approach to qualitatively evaluate different granulation phases by acoustic emissions. In: Pharmaceutics Bd. 15. Basel, MDPI (2023), Nr. 8","short":"R. Fulek, S. Ramm, C. Kiera, M. Pein-Hackelbusch, U. Odefey, Pharmaceutics 15 (2023).","ama":"Fulek R, Ramm S, Kiera C, Pein-Hackelbusch M, Odefey U. A machine learning approach to qualitatively evaluate different granulation phases by acoustic emissions. Pharmaceutics. 2023;15(8). doi:https://doi.org/10.3390/pharmaceutics15082153","ufg":"Fulek, Ruwen u. a.: A machine learning approach to qualitatively evaluate different granulation phases by acoustic emissions, in: Pharmaceutics 15 (2023), H. 8.","bjps":"Fulek R et al. (2023) A Machine Learning Approach to Qualitatively Evaluate Different Granulation Phases by Acoustic Emissions. Pharmaceutics 15.","chicago-de":"Fulek, Ruwen, Selina Ramm, Christian Kiera, Miriam Pein-Hackelbusch und Ulrich Odefey. 2023. A machine learning approach to qualitatively evaluate different granulation phases by acoustic emissions. Pharmaceutics 15, Nr. 8. doi:https://doi.org/10.3390/pharmaceutics15082153, .","havard":"R. Fulek, S. Ramm, C. Kiera, M. Pein-Hackelbusch, U. Odefey, A machine learning approach to qualitatively evaluate different granulation phases by acoustic emissions, Pharmaceutics. 15 (2023)."},"oa":"1","isi":"1","year":"2023","doi":"https://doi.org/10.3390/pharmaceutics15082153","date_created":"2023-08-15T10:48:15Z","department":[{"_id":"DEP4022"},{"_id":"DEP4028"},{"_id":"DEP4014"}],"main_file_link":[{"open_access":"1","url":"https://www.mdpi.com/1999-4923/15/8/2153"}],"date_updated":"2025-07-29T13:21:40Z","user_id":"83781","issue":"8","publication":"Pharmaceutics","status":"public","abstract":[{"text":"Wet granulation is a frequent process in the pharmaceutical industry. As a starting point for numerous dosage forms, the quality of the granulation not only affects subsequent production steps but also impacts the quality of the final product. It is thus crucial and economical to monitor this operation thoroughly. Here, we report on identifying different phases of a granulation process using a machine learning approach. The phases reflect the water content which, in turn, influences the processability and quality of the granule mass. We used two kinds of microphones and an acceleration sensor to capture acoustic emissions and vibrations. We trained convolutional neural networks (CNNs) to classify the different phases using transformed sound recordings as the input. We achieved a classification accuracy of up to 90% using vibrational data and an accuracy of up to 97% using the audible microphone data. Our results indicate the suitability of using audible sound and machine learning to monitor pharmaceutical processes. Moreover, since recording acoustic emissions is contactless, it readily complies with legal regulations and presents Good Manufacturing Practices.","lang":"eng"}],"publication_status":"published","author":[{"full_name":"Fulek, Ruwen","first_name":"Ruwen","last_name":"Fulek","id":"79527"},{"id":"68713","orcid":"https://orcid.org/0000-0002-0502-8032","last_name":"Ramm","first_name":"Selina","full_name":"Ramm, Selina"},{"full_name":"Kiera, Christian","first_name":"Christian","last_name":"Kiera"},{"id":"64952","first_name":"Miriam","full_name":"Pein-Hackelbusch, Miriam","last_name":"Pein-Hackelbusch","orcid":"0000-0002-7920-0595"},{"id":"74218","last_name":"Odefey","full_name":"Odefey, Ulrich","first_name":"Ulrich"}],"publisher":"MDPI","intvolume":" 15","external_id":{"pmid":["37631367"],"isi":["001119084200001"]},"volume":15,"pmid":"1","publication_identifier":{"eissn":["1999-4923 "]},"title":"A machine learning approach to qualitatively evaluate different granulation phases by acoustic emissions"},{"status":"public","publication":"INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH","issue":"2","publisher":"MDPI","author":[{"last_name":"Wunderlich","first_name":"Paul","full_name":"Wunderlich, Paul","id":"52317"},{"id":"76510","full_name":"Wiegräbe, Frauke","first_name":"Frauke","last_name":"Wiegräbe"},{"id":"46416","full_name":"Dörksen, Helene","first_name":"Helene","last_name":"Dörksen"}],"publication_status":"published","abstract":[{"text":"Due to the demographic aging of society, the demand for skilled caregiving is increasing. However, the already existing shortage of professional caregivers will exacerbate in the future. As a result, family caregivers must shoulder a heavier share of the care burden. To ease the burden and promote a better work-life balance, we developed the Digital Case Manager. This tool uses machine learning algorithms to learn the relationship between a care situation and the next care steps and helps family caregivers balance their professional and private lives so that they are able to continue caring for their family members without sacrificing their own jobs and personal ambitions. The data for the machine learning model are generated by means of a questionnaire based on professional assessment instruments. We implemented a proof-of-concept of the Digital Case Manager and initial tests show promising results. It offers a quick and easy-to-use tool for family caregivers in the early stages of a care situation.","lang":"eng"}],"publication_identifier":{"eissn":["1660-4601"],"issn":["1661-7827 "]},"pmid":"1","volume":20,"external_id":{"isi":["000918039900001"],"pmid":["36673969"]},"intvolume":" 20","title":"Digital Case Manager-A Data-Driven Tool to Support Family Caregivers with Initial Guidance","article_number":"1215","keyword":["machine learning","healthcare","case management","caring","multi-label classification"],"place":"Basel","quality_controlled":"1","_id":"12785","language":[{"iso":"eng"}],"year":"2023","isi":"1","type":"scientific_journal_article","citation":{"din1505-2-1":"Wunderlich, Paul ; Wiegräbe, Frauke ; Dörksen, Helene: Digital Case Manager-A Data-Driven Tool to Support Family Caregivers with Initial Guidance. In: INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH Bd. 20. Basel, MDPI (2023), Nr. 2","apa":"Wunderlich, P., Wiegräbe, F., & Dörksen, H. (2023). Digital Case Manager-A Data-Driven Tool to Support Family Caregivers with Initial Guidance. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 20(2), Article 1215. https://doi.org/10.3390/ijerph20021215","ieee":"P. Wunderlich, F. Wiegräbe, and H. Dörksen, “Digital Case Manager-A Data-Driven Tool to Support Family Caregivers with Initial Guidance,” INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, vol. 20, no. 2, Art. no. 1215, 2023, doi: 10.3390/ijerph20021215.","van":"Wunderlich P, Wiegräbe F, Dörksen H. Digital Case Manager-A Data-Driven Tool to Support Family Caregivers with Initial Guidance. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH. 2023;20(2).","mla":"Wunderlich, Paul, et al. “Digital Case Manager-A Data-Driven Tool to Support Family Caregivers with Initial Guidance.” INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, vol. 20, no. 2, 1215, 2023, https://doi.org/10.3390/ijerph20021215.","chicago":"Wunderlich, Paul, Frauke Wiegräbe, and Helene Dörksen. “Digital Case Manager-A Data-Driven Tool to Support Family Caregivers with Initial Guidance.” INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 20, no. 2 (2023). https://doi.org/10.3390/ijerph20021215.","havard":"P. Wunderlich, F. Wiegräbe, H. Dörksen, Digital Case Manager-A Data-Driven Tool to Support Family Caregivers with Initial Guidance, INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH. 20 (2023).","chicago-de":"Wunderlich, Paul, Frauke Wiegräbe und Helene Dörksen. 2023. Digital Case Manager-A Data-Driven Tool to Support Family Caregivers with Initial Guidance. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 20, Nr. 2. doi:10.3390/ijerph20021215, .","bjps":"Wunderlich P, Wiegräbe F and Dörksen H (2023) Digital Case Manager-A Data-Driven Tool to Support Family Caregivers with Initial Guidance. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 20.","ufg":"Wunderlich, Paul/Wiegräbe, Frauke/Dörksen, Helene: Digital Case Manager-A Data-Driven Tool to Support Family Caregivers with Initial Guidance, in: INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 20 (2023), H. 2.","ama":"Wunderlich P, Wiegräbe F, Dörksen H. Digital Case Manager-A Data-Driven Tool to Support Family Caregivers with Initial Guidance. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH. 2023;20(2). doi:10.3390/ijerph20021215","short":"P. Wunderlich, F. Wiegräbe, H. Dörksen, INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 20 (2023)."},"user_id":"83781","date_updated":"2025-06-25T13:11:41Z","date_created":"2025-04-14T13:39:52Z","department":[{"_id":"DEP5023"},{"_id":"DEP5000"}],"doi":"10.3390/ijerph20021215"},{"publication_identifier":{"eissn":["1558-1578"],"issn":["0018-9499"]},"intvolume":" 70","external_id":{"isi":["001012981300044"]},"volume":70,"title":"PGNAA Spectral Classification of Metal With Density Estimations","status":"public","publication":"IEEE Transactions on Nuclear Science","issue":"6","author":[{"id":"79365","last_name":"Shayan","first_name":"Helmand","full_name":"Shayan, Helmand"},{"full_name":"Krycki, Kai","first_name":"Kai","last_name":"Krycki"},{"last_name":"Doemeland","first_name":"Marco","full_name":"Doemeland, Marco"},{"id":"71761","first_name":"Markus","full_name":"Lange-Hegermann, Markus","last_name":"Lange-Hegermann"}],"publisher":"IEEE","publication_status":"published","abstract":[{"text":"For environmental, sustainable economic and political reasons, recycling processes are becoming increasingly important, aiming at a much higher use of secondary raw materials. Currently, for the copper and aluminum industries, no method for the non-destructive online analysis of heterogeneous materials is available. The prompt gamma neutron activation analysis (PGNAA) has the potential to overcome this challenge. A difficulty when using PGNAA for online classification arises from the small amount of noisy data, due to short-term measurements. In this case, classical evaluation methods using detailed peak by peak analysis fail. Therefore, we propose to view spectral data as probability distributions. Then, we can classify material using maximum log-likelihood with respect to kernel density estimation and use discrete sampling to optimize hyperparameters. For measurements of pure aluminum alloys we achieve near-perfect classification of aluminum alloys under 0.25 s.","lang":"eng"}],"year":"2023","isi":"1","citation":{"apa":"Shayan, H., Krycki, K., Doemeland, M., & Lange-Hegermann, M. (2023). PGNAA Spectral Classification of Metal With Density Estimations. IEEE Transactions on Nuclear Science, 70(6), 1171–1177. https://doi.org/10.1109/tns.2023.3242626","din1505-2-1":"Shayan, Helmand ; Krycki, Kai ; Doemeland, Marco ; Lange-Hegermann, Markus: PGNAA Spectral Classification of Metal With Density Estimations. In: IEEE Transactions on Nuclear Science Bd. 70. New York, NY, IEEE (2023), Nr. 6, S. 1171–1177","mla":"Shayan, Helmand, et al. “PGNAA Spectral Classification of Metal With Density Estimations.” IEEE Transactions on Nuclear Science, vol. 70, no. 6, 2023, pp. 1171–77, https://doi.org/10.1109/tns.2023.3242626.","chicago":"Shayan, Helmand, Kai Krycki, Marco Doemeland, and Markus Lange-Hegermann. “PGNAA Spectral Classification of Metal With Density Estimations.” IEEE Transactions on Nuclear Science 70, no. 6 (2023): 1171–77. https://doi.org/10.1109/tns.2023.3242626.","van":"Shayan H, Krycki K, Doemeland M, Lange-Hegermann M. PGNAA Spectral Classification of Metal With Density Estimations. IEEE Transactions on Nuclear Science. 2023;70(6):1171–7.","ieee":"H. Shayan, K. Krycki, M. Doemeland, and M. Lange-Hegermann, “PGNAA Spectral Classification of Metal With Density Estimations,” IEEE Transactions on Nuclear Science, vol. 70, no. 6, pp. 1171–1177, 2023, doi: 10.1109/tns.2023.3242626.","chicago-de":"Shayan, Helmand, Kai Krycki, Marco Doemeland und Markus Lange-Hegermann. 2023. PGNAA Spectral Classification of Metal With Density Estimations. IEEE Transactions on Nuclear Science 70, Nr. 6: 1171–1177. doi:10.1109/tns.2023.3242626, .","bjps":"Shayan H et al. (2023) PGNAA Spectral Classification of Metal With Density Estimations. IEEE Transactions on Nuclear Science 70, 1171–1177.","ufg":"Shayan, Helmand u. a.: PGNAA Spectral Classification of Metal With Density Estimations, in: IEEE Transactions on Nuclear Science 70 (2023), H. 6, S. 1171–1177.","havard":"H. Shayan, K. Krycki, M. Doemeland, M. Lange-Hegermann, PGNAA Spectral Classification of Metal With Density Estimations, IEEE Transactions on Nuclear Science. 70 (2023) 1171–1177.","short":"H. Shayan, K. Krycki, M. Doemeland, M. Lange-Hegermann, IEEE Transactions on Nuclear Science 70 (2023) 1171–1177.","ama":"Shayan H, Krycki K, Doemeland M, Lange-Hegermann M. PGNAA Spectral Classification of Metal With Density Estimations. IEEE Transactions on Nuclear Science. 2023;70(6):1171-1177. doi:10.1109/tns.2023.3242626"},"type":"scientific_journal_article","user_id":"83781","department":[{"_id":"DEP5023"}],"date_created":"2025-04-16T12:38:21Z","date_updated":"2025-06-26T07:45:59Z","doi":"10.1109/tns.2023.3242626","keyword":["Classification of metal","kernel density estimation","maximum log-likelihood","online classification","prompt gamma neutron activation analysis (PGNAA) spectral classification","random sampling"],"page":"1171-1177","place":"New York, NY","language":[{"iso":"eng"}],"_id":"12811"},{"issue":"3","publication":"Food Science & Nutrition","status":"public","abstract":[{"text":"The feasibility of inline classification and characterization of seven fruit juice varieties was investigated by the application of near-infrared spectroscopy (NIRS) combined with chemometrics. The findings are intended to be used to optimize the flash pasteurization of liquid foods. More precise information of the kind of product in real time had to be achieved to enable a more product-specific process. Using the method of partial least squares discriminant analysis, the fruit juice varieties were classified, showing a classification rate of 100% regarding an internal and 69% regarding an external test sets. A characterization by the extract content, pH value, turbidity, and viscosity was made by fitting a partial least squares regression model. The percentage prediction error of the pH value was <3% for internal and external test sets, and for the Brix value prediction errors were about 4% (internal) and 20% (external). The parameters viscosity and turbidity were found to be unsuitable. Despite this, the strategy applied to gain more product-specific information in real time showed to be feasible. By linking the results to a database containing potentially harmful microorganisms for various types of fruit juices, a more product-specific calculation of the necessary heat input can be performed. To demonstrate the practical relevance, a comparison between conventional and product-adapted process control was performed using two fruit varieties as examples in case of Alicyclobacillus acidoterrestris. Thus, with more accurate product information, achieved through the use of NIRS with chemometrics, a more precise calculation of the heat input can be achieved.","lang":"eng"}],"publication_status":"published","publisher":"Wiley","author":[{"id":"58425","full_name":"Weishaupt, Imke","first_name":"Imke","last_name":"Weishaupt"},{"full_name":"Neubauer, Peter","first_name":"Peter","last_name":"Neubauer"},{"id":"13209","orcid":"0000-0001-6401-8873","last_name":"Schneider","first_name":"Jan","full_name":"Schneider, Jan"}],"volume":10,"pmid":"1","external_id":{"isi":["000739093400001"],"pmid":["35311170"]},"intvolume":" 10","publication_identifier":{"issn":["2048-7177"]},"title":"Near-infrared spectroscopy for the inline classification and characterization of fruit juices for a product-customized flash pasteurization","keyword":["flash pasteurization","fruit juice characterization and classification","inline near-infrared spectroscopy","multivariate data analysis"],"page":"800-812","_id":"5425","language":[{"iso":"eng"}],"citation":{"van":"Weishaupt I, Neubauer P, Schneider J. Near-infrared spectroscopy for the inline classification and characterization of fruit juices for a product-customized flash pasteurization. Food Science & Nutrition. 2022;10(3):800–12.","ieee":"I. Weishaupt, P. Neubauer, and J. Schneider, “Near-infrared spectroscopy for the inline classification and characterization of fruit juices for a product-customized flash pasteurization,” Food Science & Nutrition, vol. 10, no. 3, pp. 800–812, 2022, doi: https://doi.org/10.1002/fsn3.2709.","mla":"Weishaupt, Imke, et al. “Near-Infrared Spectroscopy for the Inline Classification and Characterization of Fruit Juices for a Product-Customized Flash Pasteurization.” Food Science & Nutrition, vol. 10, no. 3, 2022, pp. 800–12, https://doi.org/ https://doi.org/10.1002/fsn3.2709.","chicago":"Weishaupt, Imke, Peter Neubauer, and Jan Schneider. “Near-Infrared Spectroscopy for the Inline Classification and Characterization of Fruit Juices for a Product-Customized Flash Pasteurization.” Food Science & Nutrition 10, no. 3 (2022): 800–812. https://doi.org/ https://doi.org/10.1002/fsn3.2709.","ama":"Weishaupt I, Neubauer P, Schneider J. Near-infrared spectroscopy for the inline classification and characterization of fruit juices for a product-customized flash pasteurization. Food Science & Nutrition. 2022;10(3):800-812. doi: https://doi.org/10.1002/fsn3.2709","short":"I. Weishaupt, P. Neubauer, J. Schneider, Food Science & Nutrition 10 (2022) 800–812.","din1505-2-1":"Weishaupt, Imke ; Neubauer, Peter ; Schneider, Jan: Near-infrared spectroscopy for the inline classification and characterization of fruit juices for a product-customized flash pasteurization. In: Food Science & Nutrition Bd. 10, Wiley (2022), Nr. 3, S. 800–812","havard":"I. Weishaupt, P. Neubauer, J. Schneider, Near-infrared spectroscopy for the inline classification and characterization of fruit juices for a product-customized flash pasteurization, Food Science & Nutrition. 10 (2022) 800–812.","apa":"Weishaupt, I., Neubauer, P., & Schneider, J. (2022). Near-infrared spectroscopy for the inline classification and characterization of fruit juices for a product-customized flash pasteurization. Food Science & Nutrition, 10(3), 800–812. https://doi.org/ https://doi.org/10.1002/fsn3.2709","chicago-de":"Weishaupt, Imke, Peter Neubauer und Jan Schneider. 2022. Near-infrared spectroscopy for the inline classification and characterization of fruit juices for a product-customized flash pasteurization. Food Science & Nutrition 10, Nr. 3: 800–812. doi: https://doi.org/10.1002/fsn3.2709, .","bjps":"Weishaupt I, Neubauer P and Schneider J (2022) Near-Infrared Spectroscopy for the Inline Classification and Characterization of Fruit Juices for a Product-Customized Flash Pasteurization. Food Science & Nutrition 10, 800–812.","ufg":"Weishaupt, Imke/Neubauer, Peter/Schneider, Jan: Near-infrared spectroscopy for the inline classification and characterization of fruit juices for a product-customized flash pasteurization, in: Food Science & Nutrition 10 (2022), H. 3, S. 800–812."},"type":"journal_article","isi":"1","year":"2022","doi":" https://doi.org/10.1002/fsn3.2709","date_updated":"2025-06-26T13:32:36Z","date_created":"2021-04-08T06:37:30Z","department":[{"_id":"DEP4000"},{"_id":"DEP1308"}],"user_id":"83781"},{"author":[{"full_name":"Li, Peng","first_name":"Peng","last_name":"Li","id":"58937"},{"last_name":"Niggemann","first_name":"Oliver","full_name":"Niggemann, Oliver","id":"10876"}],"publisher":"Elsevier BV","abstract":[{"lang":"eng","text":"Along with the constantly increasing complexity of industrial automation systems, machine learning methods have been widely applied to detecting abnormal states in such systems. Anomaly detection tasks can be treated as one-class classification problems in machine learning. Geometric methods can give an intuitive solution to such problems. In this paper, we propose a new geometric structure, oriented non-convex hulls, to represent decision boundaries used for one-class classification. Based on this geometric structure, a novel boundary based one-class classification algorithm is developed to solve the anomaly detection problem. Compared with traditional boundary-based approaches such as convex hulls based methods and one-class support vector machines, the proposed approach can better reflect the true geometry of target data and needs little effort for parameter tuning. The effectiveness of this approach is evaluated with artificial and real world data sets to solve the anomaly detection problem in Cyber-Physical-Production-Systems (CPPS). The evaluation results also show that the proposed approach has higher generality than the used baseline algorithms."}],"publication_status":"published","status":"public","publication":"Engineering Applications of Artificial Intelligence","title":"Non-convex hull based anomaly detection in CPPS","publication_identifier":{"issn":["0952-1976"],"eissn":["1873-6769"]},"external_id":{"isi":["000506715100040"]},"intvolume":" 87","volume":87,"place":"Amsterdam [u.a.]","language":[{"iso":"eng"}],"_id":"12808","article_number":"103301","keyword":["One-class classification","n-dimensional oriented non-convex hull","Anomaly detection","CPPS"],"date_created":"2025-04-16T09:51:12Z","department":[{"_id":"DEP5023"}],"date_updated":"2025-06-26T13:34:10Z","user_id":"83781","doi":"10.1016/j.engappai.2019.103301","isi":"1","year":"2019","citation":{"ufg":"Li, Peng/Niggemann, Oliver: Non-convex hull based anomaly detection in CPPS, in: Engineering Applications of Artificial Intelligence 87 (2019).","bjps":"Li P and Niggemann O (2019) Non-Convex Hull Based Anomaly Detection in CPPS. Engineering Applications of Artificial Intelligence 87.","chicago-de":"Li, Peng und Oliver Niggemann. 2019. Non-convex hull based anomaly detection in CPPS. Engineering Applications of Artificial Intelligence 87. doi:10.1016/j.engappai.2019.103301, .","apa":"Li, P., & Niggemann, O. (2019). Non-convex hull based anomaly detection in CPPS. Engineering Applications of Artificial Intelligence, 87, Article 103301. https://doi.org/10.1016/j.engappai.2019.103301","havard":"P. Li, O. Niggemann, Non-convex hull based anomaly detection in CPPS, Engineering Applications of Artificial Intelligence. 87 (2019).","din1505-2-1":"Li, Peng ; Niggemann, Oliver: Non-convex hull based anomaly detection in CPPS. In: Engineering Applications of Artificial Intelligence Bd. 87. Amsterdam [u.a.], Elsevier BV (2019)","short":"P. Li, O. Niggemann, Engineering Applications of Artificial Intelligence 87 (2019).","ama":"Li P, Niggemann O. Non-convex hull based anomaly detection in CPPS. Engineering Applications of Artificial Intelligence. 2019;87. doi:10.1016/j.engappai.2019.103301","chicago":"Li, Peng, and Oliver Niggemann. “Non-Convex Hull Based Anomaly Detection in CPPS.” Engineering Applications of Artificial Intelligence 87 (2019). https://doi.org/10.1016/j.engappai.2019.103301.","mla":"Li, Peng, and Oliver Niggemann. “Non-Convex Hull Based Anomaly Detection in CPPS.” Engineering Applications of Artificial Intelligence, vol. 87, 103301, 2019, https://doi.org/10.1016/j.engappai.2019.103301.","ieee":"P. Li and O. Niggemann, “Non-convex hull based anomaly detection in CPPS,” Engineering Applications of Artificial Intelligence, vol. 87, Art. no. 103301, 2019, doi: 10.1016/j.engappai.2019.103301.","van":"Li P, Niggemann O. Non-convex hull based anomaly detection in CPPS. Engineering Applications of Artificial Intelligence. 2019;87."},"type":"scientific_journal_article"},{"publication_status":"published","abstract":[{"lang":"eng","text":" In real-world scenarios it is not always possible to generate an appropriate number of measured objects for machine learning tasks. At the learning stage, for small/incomplete datasets it is nonetheless often possible to get high accuracies for several arbitrarily chosen classifiers. The fact is that many classifiers might perform accurately, but decision boundaries might be inadequate. In this situation, the decision supported by marginlike characteristics for the discrimination of classes might be taken into account. Accuracy as an exclusive measure is often not sufficient. To contribute to the solution of this problem, we present a margin-based approach originated from an existing refinement procedure. In our method, margin value is considered as optimisation criterion for the refinement of SVM models. The performance of the approach is evaluated on a real-world application dataset for Motor Drive Diagnosis coming from the field of intelligent autonomous systems in the context of I ndustry 4.0 paradigm as well as on several UCI Repository samples with different numbers of features and objects."}],"publisher":"SCITEPRESS - Science and Technology Publications, Lda.","author":[{"last_name":"Dörksen","full_name":"Dörksen, Helene","first_name":"Helene","id":"46416"},{"id":"1804","orcid":"0000-0002-3325-7887","last_name":"Lohweg","full_name":"Lohweg, Volker","first_name":"Volker"}],"publication":"Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods","status":"public","title":"Margin-based Refinement for Support-Vector-Machine Classification","publication_identifier":{"isbn":["9789897582226"]},"_id":"2015","language":[{"iso":"eng"}],"place":" [Setúbal]","page":"293-300","keyword":["Refinement of Classification","Robust Classification","Classification within Small/Incomplete Samples"],"doi":"10.5220/0006115502930300","user_id":"15514","main_file_link":[{"open_access":"1","url":"http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0006115502930300"}],"date_updated":"2023-03-15T13:49:38Z","date_created":"2019-11-25T08:59:43Z","department":[{"_id":"DEP5023"}],"conference":{"name":"6. International Conference on Pattern Recognition Applications and Methods ","end_date":"2017-02-26","start_date":"2017-02-24","location":"Porto, Protugal"},"oa":"1","type":"conference","citation":{"mla":"Dörksen, Helene, and Volker Lohweg. “Margin-Based Refinement for Support-Vector-Machine Classification.” Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, SCITEPRESS - Science and Technology Publications, Lda., 2017, pp. 293–300, doi:10.5220/0006115502930300.","chicago":"Dörksen, Helene, and Volker Lohweg. “Margin-Based Refinement for Support-Vector-Machine Classification.” In Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, 293–300. [Setúbal]: SCITEPRESS - Science and Technology Publications, Lda., 2017. https://doi.org/10.5220/0006115502930300.","ama":"Dörksen H, Lohweg V. Margin-based Refinement for Support-Vector-Machine Classification. In: Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods. [Setúbal]: SCITEPRESS - Science and Technology Publications, Lda.; 2017:293-300. doi:10.5220/0006115502930300","van":"Dörksen H, Lohweg V. Margin-based Refinement for Support-Vector-Machine Classification. In: Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods. [Setúbal]: SCITEPRESS - Science and Technology Publications, Lda.; 2017. p. 293–300.","ieee":"H. Dörksen and V. Lohweg, “Margin-based Refinement for Support-Vector-Machine Classification,” in Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, Porto, Protugal, 2017, pp. 293–300.","short":"H. Dörksen, V. Lohweg, in: Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, SCITEPRESS - Science and Technology Publications, Lda., [Setúbal], 2017, pp. 293–300.","havard":"H. Dörksen, V. Lohweg, Margin-based Refinement for Support-Vector-Machine Classification, in: Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, SCITEPRESS - Science and Technology Publications, Lda., [Setúbal], 2017: pp. 293–300.","din1505-2-1":"Dörksen, Helene ; Lohweg, Volker: Margin-based Refinement for Support-Vector-Machine Classification. In: Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods. [Setúbal] : SCITEPRESS - Science and Technology Publications, Lda., 2017, S. 293–300","chicago-de":"Dörksen, Helene und Volker Lohweg. 2017. Margin-based Refinement for Support-Vector-Machine Classification. In: Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, 293–300. [Setúbal]: SCITEPRESS - Science and Technology Publications, Lda. doi:10.5220/0006115502930300, .","bjps":"Dörksen H and Lohweg V (2017) Margin-Based Refinement for Support-Vector-Machine Classification. Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods. [Setúbal]: SCITEPRESS - Science and Technology Publications, Lda., pp. 293–300.","ufg":"Dörksen, Helene/Lohweg, Volker (2017): Margin-based Refinement for Support-Vector-Machine Classification, in: Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, [Setúbal], S. 293–300.","apa":"Dörksen, H., & Lohweg, V. (2017). Margin-based Refinement for Support-Vector-Machine Classification. In Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods (pp. 293–300). [Setúbal]: SCITEPRESS - Science and Technology Publications, Lda. https://doi.org/10.5220/0006115502930300"},"year":2017},{"title":"Generalized scaling of seasonal thermal stratification in lakes","volume":161,"intvolume":" 161","publication_identifier":{"issn":["0012-8252"]},"abstract":[{"text":"Hutchinson and Löffler's (1956) classification of lakes based on the seasonal thermal mixing regime has become a cornerstone of any analysis of lakes as elements of the earth surface. Until now however the lake classification has lacked a physically sound quantitative criterion distinguishing between two fundamental lake types: thermally stratified during a large portion of the year (mono- and dimictic) and predominantly mixed to the bottom (polymictic). Using the mechanistic balance between potential and kinetic energy we review the different formulations of the Richardson number to derive a generalized scaling for seasonal stratification in a closed lake basin. The scaling parameter is the critical mean basin depth, Hcrit, that delineates lakes that mix regularly from those that stratify seasonally based on lake water transparency, lake length, and an annual mean estimate for the Monin-Obukhov length. We validate the scaling on available data of lakes worldwide using logistic regression. The scaling criterion consistently described the mixing regime significantly better than either the conventional unbounded basin scaling or a simple depth threshold. Thus, the generalized scaling is universal for freshwater lakes and allows the seasonal mixing regime to be estimated without numerically solving the heat transport equations.","lang":"eng"}],"publication_status":"published","author":[{"full_name":"Kirillin, G.","first_name":"G.","last_name":"Kirillin"},{"id":"86424","last_name":"Shatwell","orcid":"0000-0002-4520-7916","full_name":"Shatwell, Tom","first_name":"Tom"}],"publisher":"Elsevier BV","publication":"Earth-Science Reviews","status":"public","doi":"10.1016/j.earscirev.2016.08.008","date_updated":"2024-12-09T10:04:30Z","main_file_link":[{"url":"https://doi.org/10.1016/j.earscirev.2016.08.008"}],"date_created":"2024-12-08T20:35:50Z","department":[{"_id":"DEP8022"}],"user_id":"83781","citation":{"ama":"Kirillin G, Shatwell T. Generalized scaling of seasonal thermal stratification in lakes. Earth-Science Reviews. 2016;161:179-190. doi:10.1016/j.earscirev.2016.08.008","short":"G. Kirillin, T. Shatwell, Earth-Science Reviews 161 (2016) 179–190.","havard":"G. Kirillin, T. Shatwell, Generalized scaling of seasonal thermal stratification in lakes, Earth-Science Reviews. 161 (2016) 179–190.","ufg":"Kirillin, G./Shatwell, Tom: Generalized scaling of seasonal thermal stratification in lakes, in: Earth-Science Reviews 161 (2016), S. 179–190.","chicago-de":"Kirillin, G. und Tom Shatwell. 2016. Generalized scaling of seasonal thermal stratification in lakes. Earth-Science Reviews 161: 179–190. doi:10.1016/j.earscirev.2016.08.008, .","bjps":"Kirillin G and Shatwell T (2016) Generalized Scaling of Seasonal Thermal Stratification in Lakes. Earth-Science Reviews 161, 179–190.","ieee":"G. Kirillin and T. Shatwell, “Generalized scaling of seasonal thermal stratification in lakes,” Earth-Science Reviews, vol. 161, pp. 179–190, 2016, doi: 10.1016/j.earscirev.2016.08.008.","van":"Kirillin G, Shatwell T. Generalized scaling of seasonal thermal stratification in lakes. Earth-Science Reviews. 2016;161:179–90.","chicago":"Kirillin, G., and Tom Shatwell. “Generalized Scaling of Seasonal Thermal Stratification in Lakes.” Earth-Science Reviews 161 (2016): 179–90. https://doi.org/10.1016/j.earscirev.2016.08.008.","mla":"Kirillin, G., and Tom Shatwell. “Generalized Scaling of Seasonal Thermal Stratification in Lakes.” Earth-Science Reviews, vol. 161, 2016, pp. 179–90, https://doi.org/10.1016/j.earscirev.2016.08.008.","din1505-2-1":"Kirillin, G. ; Shatwell, Tom: Generalized scaling of seasonal thermal stratification in lakes. In: Earth-Science Reviews Bd. 161, Elsevier BV (2016), S. 179–190","apa":"Kirillin, G., & Shatwell, T. (2016). Generalized scaling of seasonal thermal stratification in lakes. Earth-Science Reviews, 161, 179–190. https://doi.org/10.1016/j.earscirev.2016.08.008"},"type":"scientific_journal_article","year":"2016","language":[{"iso":"eng"}],"_id":"12242","extern":"1","quality_controlled":"1","keyword":["Richardson number","Lake classification","Seasonal stratification","Dimixis","Polymixis","Water transparency","Lake databases","Lake modeling","Secchi depth"],"page":"179-190"},{"place":"Cagliari, Italy","author":[{"id":"1825","last_name":"Mönks","full_name":"Mönks, Uwe","first_name":"Uwe"},{"id":"1804","last_name":"Lohweg","orcid":"0000-0002-3325-7887","first_name":"Volker","full_name":"Lohweg, Volker"}],"language":[{"iso":"eng"}],"_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."}],"corporate_editor":["IEEE"],"publication_status":"published","keyword":["Decision making","Robot sensing systems","Reliability","Production","Context","Fuzzy set theory","Data integration"],"status":"public","publication":"18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)","department":[{"_id":"DEP5023"}],"date_created":"2019-12-04T09:30:15Z","date_updated":"2023-03-15T13:49:39Z","user_id":"45673","title":"Machine Conditioning by Importance Controlled Information Fusion","doi":"10.1109/ETFA.2013.6647984","publication_identifier":{"eissn":["1946-0759 "],"isbn":["978-1-4799-0862-2"],"issn":["1946-0740 "],"eisbn":["978-1-4799-0864-6"]},"year":2013,"type":"conference","citation":{"short":"U. Mönks, V. Lohweg, in: IEEE (Ed.), 18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Cagliari, Italy, 2013.","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","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-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, .","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.","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.","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.","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.","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.","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","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"}},{"publication":"Optical Document Security - The Conference on Optical Security and Counterfeit Detection III","status":"public","keyword":["authentication","anti-counterfeit features","mobile device","smartphone","wavelet transform","pattern recognition","Sound-of-Intaglio"],"abstract":[{"text":"Maintaining confidence in security documents, especially banknotes, is and remains a major concern for the central banks in order to maintain the stability of the economy around the world. In this paper we describe an image processing and pattern recognition approach which is based on the Sound-of-Intaglio concept [1] for the usage in smart devices such as smartphones. Today, in many world regions smartphones are in use. These devices become more and more computing units, equipped with resource-limited but effective CPUs, cameras with illumination, and flexible operating systems. Hence, it appears to be obvious, to apply those smartphones for banknote authentication, especially for visually impaired persons. However, it has to be researched, whether those devices are capable of processing the data under the constraints of image quality and processing power. Our results show that it is in general possible to use such devices for banknote authentication applications.","lang":"eng"}],"_id":"2104","language":[{"iso":"eng"}],"author":[{"full_name":"Lohweg, Volker","first_name":"Volker","last_name":"Lohweg","orcid":"0000-0002-3325-7887","id":"1804"},{"last_name":"Dörksen","full_name":"Dörksen, Helene","first_name":"Helene","id":"46416"},{"last_name":"Gillich","full_name":"Gillich, Eugen","first_name":"Eugen","id":"1706"},{"id":"1639","last_name":"Hildebrand","full_name":"Hildebrand, Roland","first_name":"Roland"},{"full_name":"Hoffmann, Jan Leif","first_name":"Jan Leif","last_name":"Hoffmann","id":"46243"},{"last_name":"Schaede","full_name":"Schaede, Johannes","first_name":"Johannes","id":"2128"}],"type":"journal_article","citation":{"din1505-2-1":"Lohweg, Volker ; Dörksen, Helene ; Gillich, Eugen ; Hildebrand, Roland ; Hoffmann, Jan Leif ; Schaede, Johannes: Mobile Devices for Banknote Authentication – is it possible? In: Optical Document Security - The Conference on Optical Security and Counterfeit Detection III, San Francisco, CA, USA, January 18-20, 2012. . In: Optical Document Security - The Conference on Optical Security and Counterfeit Detection III (2012)","apa":"Lohweg, V., Dörksen, H., Gillich, E., Hildebrand, R., Hoffmann, J. L., & Schaede, J. (2012). Mobile Devices for Banknote Authentication – is it possible? In: Optical Document Security - The Conference on Optical Security and Counterfeit Detection III, San Francisco, CA, USA, January 18-20, 2012. . Optical Document Security - The Conference on Optical Security and Counterfeit Detection III.","mla":"Lohweg, Volker, et al. “Mobile Devices for Banknote Authentication – Is It Possible? In: Optical Document Security - The Conference on Optical Security and Counterfeit Detection III, San Francisco, CA, USA, January 18-20, 2012. .” Optical Document Security - The Conference on Optical Security and Counterfeit Detection III, 2012.","chicago":"Lohweg, Volker, Helene Dörksen, Eugen Gillich, Roland Hildebrand, Jan Leif Hoffmann, and Johannes Schaede. “Mobile Devices for Banknote Authentication – Is It Possible? In: Optical Document Security - The Conference on Optical Security and Counterfeit Detection III, San Francisco, CA, USA, January 18-20, 2012. .” Optical Document Security - The Conference on Optical Security and Counterfeit Detection III, 2012.","van":"Lohweg V, Dörksen H, Gillich E, Hildebrand R, Hoffmann JL, Schaede J. Mobile Devices for Banknote Authentication – is it possible? In: Optical Document Security - The Conference on Optical Security and Counterfeit Detection III, San Francisco, CA, USA, January 18-20, 2012. . Optical Document Security - The Conference on Optical Security and Counterfeit Detection III. 2012;","ieee":"V. Lohweg, H. Dörksen, E. Gillich, R. Hildebrand, J. L. Hoffmann, and J. Schaede, “Mobile Devices for Banknote Authentication – is it possible? In: Optical Document Security - The Conference on Optical Security and Counterfeit Detection III, San Francisco, CA, USA, January 18-20, 2012. ,” Optical Document Security - The Conference on Optical Security and Counterfeit Detection III, 2012.","havard":"V. Lohweg, H. Dörksen, E. Gillich, R. Hildebrand, J.L. Hoffmann, J. Schaede, Mobile Devices for Banknote Authentication – is it possible? In: Optical Document Security - The Conference on Optical Security and Counterfeit Detection III, San Francisco, CA, USA, January 18-20, 2012. , Optical Document Security - The Conference on Optical Security and Counterfeit Detection III. (2012).","bjps":"Lohweg V et al. (2012) Mobile Devices for Banknote Authentication – Is It Possible? In: Optical Document Security - The Conference on Optical Security and Counterfeit Detection III, San Francisco, CA, USA, January 18-20, 2012. . Optical Document Security - The Conference on Optical Security and Counterfeit Detection III.","ufg":"Lohweg, Volker et. al. (2012): Mobile Devices for Banknote Authentication – is it possible? In: Optical Document Security - The Conference on Optical Security and Counterfeit Detection III, San Francisco, CA, USA, January 18-20, 2012. , in: Optical Document Security - The Conference on Optical Security and Counterfeit Detection III.","chicago-de":"Lohweg, Volker, Helene Dörksen, Eugen Gillich, Roland Hildebrand, Jan Leif Hoffmann und Johannes Schaede. 2012. Mobile Devices for Banknote Authentication – is it possible? In: Optical Document Security - The Conference on Optical Security and Counterfeit Detection III, San Francisco, CA, USA, January 18-20, 2012. . Optical Document Security - The Conference on Optical Security and Counterfeit Detection III.","ama":"Lohweg V, Dörksen H, Gillich E, Hildebrand R, Hoffmann JL, Schaede J. Mobile Devices for Banknote Authentication – is it possible? In: Optical Document Security - The Conference on Optical Security and Counterfeit Detection III, San Francisco, CA, USA, January 18-20, 2012. . Optical Document Security - The Conference on Optical Security and Counterfeit Detection III. 2012.","short":"V. Lohweg, H. Dörksen, E. Gillich, R. Hildebrand, J.L. Hoffmann, J. Schaede, Optical Document Security - The Conference on Optical Security and Counterfeit Detection III (2012)."},"year":2012,"title":"Mobile Devices for Banknote Authentication – is it possible? In: Optical Document Security - The Conference on Optical Security and Counterfeit Detection III, San Francisco, CA, USA, January 18-20, 2012. ","user_id":"45673","date_updated":"2023-03-15T13:49:38Z","date_created":"2019-12-03T06:34:28Z","department":[{"_id":"DEP5023"}]},{"publication_status":"published","abstract":[{"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.","lang":"eng"}],"_id":"2107","language":[{"iso":"eng"}],"author":[{"first_name":"Uwe","full_name":"Mönks, Uwe","last_name":"Mönks","id":"1825"},{"last_name":"Voth","first_name":"Karl","full_name":"Voth, Karl"},{"first_name":"Volker","full_name":"Lohweg, Volker","last_name":"Lohweg","orcid":"0000-0002-3325-7887","id":"1804"}],"publication":"IEEE CIP 2012, Third International Workshop on Cognitive Information Processing, May 28-30 2012, Parador de Baiona, Spain","status":"public","keyword":["Sensor phenomena and characterization","Production","Sensor fusion","Fuzzy set theory","Conferences","Possibility theory"],"doi":"10.1109/CIP.2012.6232905","title":"An Extended Perspective on Evidential Aggregation Rules in Machine Conditioning","user_id":"45673","main_file_link":[{"url":"https://ieeexplore.ieee.org/abstract/document/6232905/keywords#keywords"}],"date_updated":"2023-03-15T13:49:38Z","department":[{"_id":"DEP5023"}],"date_created":"2019-12-03T06:40:20Z","type":"conference","citation":{"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","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","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.","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.","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.","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.","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-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, .","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.","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","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."},"year":2012,"publication_identifier":{"eisbn":["978-1-4673-1878-5"],"eissn":["2327-1698 "],"issn":["2327-1671 "],"isbn":["978-1-4673-1877-8"]}},{"department":[{"_id":"DEP5023"}],"date_created":"2019-12-03T06:50:52Z","date_updated":"2023-03-15T13:49:38Z","user_id":"45673","title":"SVM-integrated Fuzzy Pattern Classification for Nonconvex Data-Inherent Structures Applied to Banknote Authentication","year":2012,"citation":{"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.","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","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.","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,.","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.","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.","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.","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.","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.","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.","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.","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."},"type":"conference","author":[{"last_name":"Hempel","first_name":"Arne-Jens","full_name":"Hempel, Arne-Jens"},{"first_name":"Holger","full_name":"Hähnel, Holger","last_name":"Hähnel"},{"first_name":"Uwe","full_name":"Mönks, Uwe","last_name":"Mönks","id":"1825"},{"id":"1804","last_name":"Lohweg","orcid":"0000-0002-3325-7887","first_name":"Volker","full_name":"Lohweg, Volker"}],"publisher":"inIT-Institut für industrielle Informationstechnik","_id":"2113","abstract":[{"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.","lang":"eng"}],"language":[{"iso":"eng"}],"keyword":["fuzzy classification","pattern recognition","single-class support vector machine","data mining"],"status":"public","publication":"BVAu 2012 - 3. Jahresolloquium \"Bildverarbeitung in der Automation\" Centrum Industrial IT, Lemgo,"},{"file":[{"creator":"6bl-f5s","access_level":"closed","date_updated":"2019-12-03T07:00:42Z","file_size":728201,"date_created":"2019-12-03T07:00:42Z","content_type":"application/pdf","file_id":"2118","file_name":"lohweg_integration.pdf","relation":"main_file"}],"page":"115-131","keyword":["Fuzzy-Regelung"],"_id":"2117","language":[{"iso":"eng"}],"place":"Düsseldorf","citation":{"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.","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.","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.","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.","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","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).","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.","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.","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.","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.","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-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)."},"type":"conference","file_date_updated":"2019-12-03T07:00:42Z","year":2012,"editor":[{"first_name":"Eike ","full_name":"Hüllermeier, Eike ","last_name":"Hüllermeier"},{"last_name":"Hoffmann","full_name":"Hoffmann, Frank","first_name":"Frank"}],"department":[{"_id":"DEP5023"}],"date_created":"2019-12-03T06:59:40Z","date_updated":"2023-03-15T13:49:38Z","user_id":"45673","publication":"22. Workshop Computational Intelligence, 06.-7.12.2012, Dortmund ","status":"public","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":[{"last_name":"Hähnel","first_name":"Holger","full_name":"Hähnel, Holger"},{"first_name":"Arne-Jens","full_name":"Hempel, Arne-Jens","last_name":"Hempel"},{"first_name":"Uwe","full_name":"Mönks, Uwe","last_name":"Mönks","id":"1825"},{"full_name":"Lohweg, Volker","first_name":"Volker","orcid":"0000-0002-3325-7887","last_name":"Lohweg","id":"1804"}],"publisher":"VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA)","has_accepted_license":"1","publication_identifier":{"isbn":["978-3-86644-917-6"]},"title":"Integration of Statistical Analyses for Parametrisation of the Fuzzy Pattern Classification","ddc":["600"]},{"doi":"10.1109/CIP.2010.5604094","title":"Sensor Fusion by Two-Layer Conflict Solving","date_updated":"2023-03-15T13:49:38Z","date_created":"2019-12-02T08:04:18Z","department":[{"_id":"DEP5023"}],"user_id":"45673","type":"conference","citation":{"short":"V. Lohweg, U. Mönks, in: The 2nd International Workshop on Cognitive Information Processing, 14-16 June, 2010, Elba Island (Tuscany), Italy, 2010.","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","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.","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.","ieee":"V. Lohweg and U. Mönks, “Sensor Fusion by Two-Layer Conflict Solving,” in The 2nd International Workshop on Cognitive Information Processing, Elba, 2010.","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.","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.","ufg":"Lohweg, Volker/Mönks, Uwe (2010): Sensor Fusion by Two-Layer Conflict Solving, in: The 2nd International Workshop on Cognitive Information Processing.","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, .","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","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.","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"},"conference":{"location":"Elba","start_date":"2010-06-14","end_date":"2010-06-16","name":" 2010 2nd International Workshop on Cognitive Information Processing"},"year":2010,"publication_identifier":{"eisbn":["978-1-4244-6459-3"],"isbn":["978-1-4244-6457-9"],"issn":["2327-1671 "],"unknown":["2327-1698 "]},"language":[{"iso":"eng"}],"_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."}],"publication_status":"published","author":[{"id":"1804","last_name":"Lohweg","orcid":"0000-0002-3325-7887","full_name":"Lohweg, Volker","first_name":"Volker"},{"last_name":"Mönks","full_name":"Mönks, Uwe","first_name":"Uwe","id":"1825"}],"publisher":"14-16 June, 2010, Elba Island (Tuscany), Italy","publication":"The 2nd International Workshop on Cognitive Information Processing","status":"public","keyword":["Noise measurement","Fuzzy sets","Noise","Sensor fusion","Logic gates","Feature extraction","Fuses"]},{"publication":"IPMU 2010 - International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems","status":"public","keyword":["Fuzzy Logic","Probability Theory","Fuzzy-Pattern-Classification","Machine Learning","Artificial Intelligence","Pattern Recognition"],"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."}],"_id":"2087","language":[{"iso":"eng"}],"publication_status":"published","publisher":"28 Jun 2010 - 02 July 2010, Dortmund, Germany","author":[{"id":"1825","last_name":"Mönks","first_name":"Uwe","full_name":"Mönks, Uwe"},{"full_name":"Lohweg, Volker","first_name":"Volker","orcid":"0000-0002-3325-7887","last_name":"Lohweg","id":"1804"},{"first_name":"Denis","full_name":"Petker, Denis","last_name":"Petker"}],"oa":"1","citation":{"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.","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","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.","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.","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.","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.","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.","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.","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.","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.","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.","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."},"type":"conference","year":2010,"title":"Fuzzy-Pattern-Classifier Training with Small Data Sets","date_updated":"2023-03-15T13:49:38Z","main_file_link":[{"url":"https://www.th-owl.de/init/uploads/tx_initdb/00800426_01.pdf","open_access":"1"}],"date_created":"2019-12-02T08:15:18Z","department":[{"_id":"DEP5023"}],"user_id":"45673"},{"publication":"32nd Annual Conference on Artificial Intelligence Paderborn | September 15 – 18, 2009, accepted for Publication","status":"public","publication_status":"published","abstract":[{"lang":"eng","text":"A robust vision system for the counterfeit detection of bank ATM keyboards is presented. The approach is based on the continuous inspection of a keyboard surface by the authenticity verification of coded covert surface features. For the surface coding suitable visual patterns on the keyboard are selected while considering constraints from the visual imperceptibility, robustness and geometrical disturbances to be encountered from the aging effects. The system’s robustness against varying camera-keyboard distances, lighting conditions and dirt-and-scratches effects is investigated. Finally, a demonstrator working in real-time is developed in order to publicly demonstrate the surface authentication process."}],"publisher":"Springer","author":[{"last_name":"Iqbal","full_name":"Iqbal, Taswar","first_name":"Taswar"},{"full_name":"Le, Dinh Khoi","first_name":"Dinh Khoi","last_name":"Le"},{"last_name":"Nolte","first_name":"Michael","full_name":"Nolte, Michael"},{"full_name":"Lohweg, Volker","first_name":"Volker","last_name":"Lohweg","orcid":"0000-0002-3325-7887","id":"1804"}],"volume":5803,"intvolume":" 5803","publication_identifier":{"eisbn":["978-3-642-04617-9"],"isbn":["978-3-642-04616-2"]},"title":"Human Perception Based Counterfeit Detection for Automated Teller Machines, KI 2009, Artificial Intelligence and Automation ","keyword":["ATMs","human perception","counterfeit resistance","digital authentication","surface coding","pattern recognition"],"page":"347-354","language":[{"iso":"eng"}],"_id":"2082","place":"Berlin","type":"conference","citation":{"ieee":"T. Iqbal, D. K. Le, M. Nolte, and V. Lohweg, “Human Perception Based Counterfeit Detection for Automated Teller Machines, KI 2009, Artificial Intelligence and Automation ,” in 32nd Annual Conference on Artificial Intelligence Paderborn | September 15 – 18, 2009, accepted for Publication, 2009, vol. 5803, pp. 347–354.","van":"Iqbal T, Le DK, Nolte M, Lohweg V. Human Perception Based Counterfeit Detection for Automated Teller Machines, KI 2009, Artificial Intelligence and Automation . In: 32nd Annual Conference on Artificial Intelligence Paderborn | September 15 – 18, 2009, accepted for Publication. Berlin: Springer; 2009. p. 347–54. (Lecture Notes in Computer Science; vol. 5803).","chicago":"Iqbal, Taswar, Dinh Khoi Le, Michael Nolte, and Volker Lohweg. “Human Perception Based Counterfeit Detection for Automated Teller Machines, KI 2009, Artificial Intelligence and Automation .” In 32nd Annual Conference on Artificial Intelligence Paderborn | September 15 – 18, 2009, Accepted for Publication, 5803:347–54. Lecture Notes in Computer Science. Berlin: Springer, 2009. https://doi.org/10.1007/978-3-642-04617-9_44.","mla":"Iqbal, Taswar, et al. “Human Perception Based Counterfeit Detection for Automated Teller Machines, KI 2009, Artificial Intelligence and Automation .” 32nd Annual Conference on Artificial Intelligence Paderborn | September 15 – 18, 2009, Accepted for Publication, vol. 5803, Springer, 2009, pp. 347–54, doi:https://doi.org/10.1007/978-3-642-04617-9_44.","din1505-2-1":"Iqbal, Taswar ; Le, Dinh Khoi ; Nolte, Michael ; Lohweg, Volker: Human Perception Based Counterfeit Detection for Automated Teller Machines, KI 2009, Artificial Intelligence and Automation . In: 32nd Annual Conference on Artificial Intelligence Paderborn | September 15 – 18, 2009, accepted for Publication, Lecture Notes in Computer Science. Bd. 5803. Berlin : Springer, 2009, S. 347–354","apa":"Iqbal, T., Le, D. K., Nolte, M., & Lohweg, V. (2009). Human Perception Based Counterfeit Detection for Automated Teller Machines, KI 2009, Artificial Intelligence and Automation . In 32nd Annual Conference on Artificial Intelligence Paderborn | September 15 – 18, 2009, accepted for Publication (Vol. 5803, pp. 347–354). Berlin: Springer. https://doi.org/10.1007/978-3-642-04617-9_44","ama":"Iqbal T, Le DK, Nolte M, Lohweg V. Human Perception Based Counterfeit Detection for Automated Teller Machines, KI 2009, Artificial Intelligence and Automation . In: 32nd Annual Conference on Artificial Intelligence Paderborn | September 15 – 18, 2009, Accepted for Publication. Vol 5803. Lecture Notes in Computer Science. Berlin: Springer; 2009:347-354. doi:https://doi.org/10.1007/978-3-642-04617-9_44","short":"T. Iqbal, D.K. Le, M. Nolte, V. Lohweg, in: 32nd Annual Conference on Artificial Intelligence Paderborn | September 15 – 18, 2009, Accepted for Publication, Springer, Berlin, 2009, pp. 347–354.","havard":"T. Iqbal, D.K. Le, M. Nolte, V. Lohweg, Human Perception Based Counterfeit Detection for Automated Teller Machines, KI 2009, Artificial Intelligence and Automation , in: 32nd Annual Conference on Artificial Intelligence Paderborn | September 15 – 18, 2009, Accepted for Publication, Springer, Berlin, 2009: pp. 347–354.","bjps":"Iqbal T et al. (2009) Human Perception Based Counterfeit Detection for Automated Teller Machines, KI 2009, Artificial Intelligence and Automation . 32nd Annual Conference on Artificial Intelligence Paderborn | September 15 – 18, 2009, Accepted for Publication, vol. 5803. Berlin: Springer, pp. 347–354.","chicago-de":"Iqbal, Taswar, Dinh Khoi Le, Michael Nolte und Volker Lohweg. 2009. Human Perception Based Counterfeit Detection for Automated Teller Machines, KI 2009, Artificial Intelligence and Automation . In: 32nd Annual Conference on Artificial Intelligence Paderborn | September 15 – 18, 2009, accepted for Publication, 5803:347–354. Lecture Notes in Computer Science. Berlin: Springer. doi:https://doi.org/10.1007/978-3-642-04617-9_44, .","ufg":"Iqbal, Taswar et. al. (2009): Human Perception Based Counterfeit Detection for Automated Teller Machines, KI 2009, Artificial Intelligence and Automation , in: 32nd Annual Conference on Artificial Intelligence Paderborn | September 15 – 18, 2009, accepted for Publication (=Lecture Notes in Computer Science 5803), Berlin, S. 347–354."},"year":2009,"series_title":"Lecture Notes in Computer Science","doi":"https://doi.org/10.1007/978-3-642-04617-9_44","user_id":"45673","date_updated":"2023-03-15T13:49:38Z","main_file_link":[{"url":"https://link.springer.com/chapter/10.1007/978-3-642-04617-9_44"}],"date_created":"2019-11-29T14:54:54Z","department":[{"_id":"DEP5023"}]},{"date_updated":"2023-03-15T13:49:38Z","date_created":"2019-11-29T14:02:12Z","department":[{"_id":"DEP5023"}],"user_id":"45673","title":"A New Concept on Quality Inspection and Machine Conditioning for Security Prints","year":2008,"citation":{"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.","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.","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.","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).","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).","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.","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)","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.","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;","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.","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."},"type":"journal_article","author":[{"last_name":"Dyck","first_name":"Walter","full_name":"Dyck, Walter"},{"first_name":"Thomas","full_name":"Türke, Thomas","last_name":"Türke"},{"id":"2128","first_name":"Johannes","full_name":"Schaede, Johannes","last_name":"Schaede"},{"full_name":"Lohweg, Volker","first_name":"Volker","last_name":"Lohweg","orcid":"0000-0002-3325-7887","id":"1804"}],"language":[{"iso":"eng"}],"_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. "}],"status":"public","keyword":["authentification","anti-counterfeit features","inspection","quality","sensor fusion","pattern recognition"],"publication":"Optical Document Security - The 2008 Conference on Optical Security and Counterfeit Deterrence; Reconnaissance International Publishers and Consultants, San Francisco, CA, USA"},{"status":"public","keyword":["tuning parameter","information fusion","fuzzy cmeans","membership function","fuzzy pattern classification"],"_id":"2071","language":[{"iso":"eng"}],"abstract":[{"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.","lang":"eng"}],"publication_status":"published","author":[{"full_name":"Li, Rui","first_name":"Rui","last_name":"Li","id":"2000"},{"last_name":"Lohweg","orcid":"0000-0002-3325-7887","full_name":"Lohweg, Volker","first_name":"Volker","id":"1804"}],"publisher":"In: The 11th Conference on Information Fusion, June 30 - July 3, Cologne, Germany","type":"conference","citation":{"short":"R. Li, V. Lohweg, in: In: The 11th Conference on Information Fusion, June 30 - July 3, Cologne, Germany, 2008.","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.","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.","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.","ieee":"R. Li and V. Lohweg, “Fuzzy Pattern Classification Tuning by Parameter Learning based on Fusion Concept,” 2008.","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.","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.","ufg":"Li, Rui/Lohweg, Volker (2008): Fuzzy Pattern Classification Tuning by Parameter Learning based on Fusion Concept, in: .","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.","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.","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.","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"},"year":2008,"publication_identifier":{"isbn":["978-3-8007-3092-6"]},"title":"Fuzzy Pattern Classification Tuning by Parameter Learning based on Fusion Concept","main_file_link":[{"url":"https://ieeexplore.ieee.org/document/4632223/keywords#full-text-header"}],"date_updated":"2023-03-15T13:49:38Z","department":[{"_id":"DEP5023"}],"date_created":"2019-11-29T14:09:33Z","user_id":"45673"},{"doi":"10.1109/ICIF.2006.301779","user_id":"45673","main_file_link":[{"url":"https://ieeexplore.ieee.org/document/4086065/keywords#full-text-header"}],"date_updated":"2023-03-15T13:49:38Z","date_created":"2019-11-29T13:35:03Z","department":[{"_id":"DEP5023"}],"citation":{"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.","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","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, .","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.","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.","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","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.","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.","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","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.","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.","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."},"type":"conference","year":2006,"_id":"2062","language":[{"iso":"eng"}],"keyword":["Information security","Inspection","Printing machinery","Optical sensors","Data security","Personnel","Fuzzy systems","Sensor systems","Expert systems","Ink"],"page":"1-8","title":"Information Fusion Application On Security Printing With Parametrical Fuzzy Classification","publication_identifier":{"isbn":[" 1-4244-0953-5"]},"publication_status":"published","abstract":[{"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
","lang":"eng"}],"author":[{"last_name":"Dyck","full_name":"Dyck, Walter","first_name":"Walter"},{"last_name":"Schaede","first_name":"Johannes","full_name":"Schaede, Johannes","id":"2128"},{"last_name":"Türke","first_name":"Thomas","full_name":"Türke, Thomas"},{"last_name":"Lohweg","orcid":"0000-0002-3325-7887","first_name":"Volker","full_name":"Lohweg, Volker","id":"1804"}],"publisher":"9th International Conference on Information Fusion, 2006. ICIF '06","publication":" 2006 9th International Conference on Information Fusion","status":"public"},{"page":"349 - 352","keyword":["Pattern recognition","Field programmable gate arrays","Neural networks","Image processing","Discrete transforms","Signal processing","Image retrieval","Image recognition","Transient analysis","Fuzzy systems"],"place":"Genova","_id":"2058","language":[{"iso":"eng"}],"year":2005,"citation":{"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","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","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.","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.","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.","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.","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, .","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.","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.","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.","short":"T. Henke, V. Lohweg, in: IEEE International Conference On Image Processing (ICIP), Proceedings, IEEE, Genova, 2005, pp. 349–352.","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"},"type":"conference","user_id":"45673","date_updated":"2023-03-15T13:49:38Z","main_file_link":[{"url":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1529759"}],"date_created":"2019-11-29T13:17:49Z","department":[{"_id":"DEP5023"}],"doi":" 10.1109/ICIP.2005.1529759","status":"public","publication":"IEEE International Conference On Image Processing (ICIP), Proceedings","publisher":"IEEE","author":[{"first_name":"Tobias","full_name":"Henke, Tobias","last_name":"Henke"},{"id":"1804","first_name":"Volker","full_name":"Lohweg, Volker","last_name":"Lohweg","orcid":"0000-0002-3325-7887"}],"publication_status":"published","abstract":[{"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.","lang":"eng"}],"publication_identifier":{"issn":["1522-4880 "],"isbn":["0-7803-9134-9"],"eissn":["2381-8549 "]},"title":"A Simplified Scheme For Hardware-Based Pattern Recognition"},{"status":"public","publication":"EURASIP journal on applied signal processing : a publication of the European Association for Speech, Signal, and Image Processing ","issue":"1","author":[{"id":"1804","full_name":"Lohweg, Volker","first_name":"Volker","orcid":"0000-0002-3325-7887","last_name":"Lohweg"},{"id":"44209","last_name":"Diederichs","full_name":"Diederichs, Carsten","first_name":"Carsten"},{"last_name":"Müller","first_name":"Dietmar","full_name":"Müller, Dietmar"}],"publisher":"Hindawi Publ.","publication_status":"published","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."}],"publication_identifier":{"issn":["1110-8657 "]},"intvolume":" 12","volume":12,"title":"Algorithms for Hardware-Based Pattern Recognition","page":"1912-1920","keyword":["image processing","nonlinear circular transforms","feature extraction","fuzzy pattern recognition"],"place":"Akron, Ohio","language":[{"iso":"eng"}],"_id":"2056","year":2004,"citation":{"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.","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.","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.","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.","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.","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.","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.","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.","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"},"type":"journal_article","oa":"1","user_id":"15514","date_created":"2019-11-29T13:09:05Z","department":[{"_id":"DEP5023"}],"main_file_link":[{"open_access":"1","url":"https://asp-eurasipjournals.springeropen.com/track/pdf/10.1155/S1110865704404247"}],"date_updated":"2023-03-15T13:49:38Z","doi":"https://doi.org/10.1155/S1110865704404247"},{"year":2003,"supervisor":[{"first_name":"Dietmar","full_name":"Müller, Dietmar","last_name":"Müller"},{"last_name":"Scarbata","first_name":"Gerd","full_name":"Scarbata, Gerd"},{"first_name":"Norman","full_name":"Bitterlin, Norman","last_name":"Bitterlin"}],"citation":{"short":"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.","van":"Lohweg V. Ein Beitrag zur effektiven Implementierung adaptiver Spektraltransformationen in applikationsspezifische integrierte Schaltkreise. Chemnitz: Technische Universität Chemnitz; 2003. 207 p.","ama":"Lohweg V. Ein Beitrag zur effektiven Implementierung adaptiver Spektraltransformationen in applikationsspezifische integrierte Schaltkreise. Chemnitz: Technische Universität Chemnitz; 2003.","chicago":"Lohweg, Volker. 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.","apa":"Lohweg, V. (2003). Ein Beitrag zur effektiven Implementierung adaptiver Spektraltransformationen in applikationsspezifische integrierte Schaltkreise. Chemnitz: Technische Universität Chemnitz.","ufg":"Lohweg, Volker (2003): Ein Beitrag zur effektiven Implementierung adaptiver Spektraltransformationen in applikationsspezifische integrierte Schaltkreise, Chemnitz.","chicago-de":"Lohweg, Volker. 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.","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."},"type":"dissertation","oa":"1","user_id":"45673","alternative_title":[" On Effective Implementation of Adaptive Spectral Transforms in Application Specific Integrated Circuits"],"date_created":"2019-11-29T12:54:10Z","department":[{"_id":"DEP5023"}],"main_file_link":[{"url":"https://nbn-resolving.org/urn:nbn:de:swb:ch1-200400031","open_access":"1"}],"date_updated":"2023-03-15T13:49:38Z","page":"207","keyword":["ASIC","Abbildungseigenschaft","Druckbildkontrolle","Prozessorelement","Systolisches Array","Fuzzy-Maß","Invarianz","Klassifikation","Mehrdimensionale Bildverarbeitung","Mustererkennung","Nichtlineare Transformation"],"place":"Chemnitz","language":[{"iso":"ger"}],"_id":"2053","ddc":["620"],"title":"Ein Beitrag zur effektiven Implementierung adaptiver Spektraltransformationen in applikationsspezifische integrierte Schaltkreise","status":"public","publisher":"Technische Universität Chemnitz","author":[{"id":"1804","full_name":"Lohweg, Volker","first_name":"Volker","orcid":"0000-0002-3325-7887","last_name":"Lohweg"}],"publication_status":"published","abstract":[{"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":"ger"},{"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."}]}]