--- _id: '13629' abstract: - lang: eng 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. author: - first_name: Eberhard full_name: Süßle, Eberhard id: '85848' last_name: Süßle 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' 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' 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: '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-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, .' 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)' 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).' 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.' 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.' short: E. Süßle, (2026). 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.' 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.' date_created: 2026-03-27T09:31:16Z date_updated: 2026-04-13T11:07:34Z ddc: - '570' department: - _id: DEP4000 - _id: DEP4029 doi: 10.25644/7yns-b575 file: - access_level: open_access content_type: application/pdf creator: adm-40d-sm4 date_created: 2026-03-27T09:30:11Z date_updated: 2026-03-27T09:30:11Z file_id: '13630' file_name: Final_mTGtase.pdf file_size: 152847 relation: main_file success: 1 file_date_updated: 2026-03-27T09:30:11Z has_accepted_license: '1' keyword: - microbial transglutaminase - plant-based meat - protein cross-linking - meat analogues - texture modification - regulatory classification - consumer perception - market adoption language: - iso: eng oa: '1' page: '5' publication_status: published publisher: Technische Hochschule Ostwestfalen-Lippe status: public 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' type: preprint user_id: '83781' year: '2026' ... --- _id: '12254' 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. article_number: '117148' author: - first_name: Sophie Morejón full_name: Caraballo, Sophie Morejón last_name: Caraballo - first_name: Stephanie full_name: Trültzsch, Stephanie last_name: Trültzsch - first_name: Susanne full_name: Struck, Susanne id: '85030' last_name: Struck orcid: https://orcid.org/0000-0002-1281-5966 - first_name: Harald full_name: Rohm, Harald last_name: Rohm citation: 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' 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' 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.' 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.' 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, .' 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)' 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).' 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.' 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.' 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).' 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).' 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.' date_created: 2024-12-10T11:15:15Z date_updated: 2024-12-11T08:25:27Z department: - _id: DEP4028 - _id: DEP4029 doi: 10.1016/j.lwt.2024.117148 intvolume: ' 214' keyword: - Sieving - Air classification - Particle size - Water binding - Foaming - Emulsification language: - iso: eng place: Amsterdam 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)' publication_identifier: eissn: - 1096-1127 issn: - 0023-6438 publication_status: published publisher: Elsevier BV status: public title: Dry fractionation of sunflower press cake as tool to improve its technofunctional properties type: scientific_journal_article user_id: '83781' volume: 214 year: '2024' ... --- _id: '10216' abstract: - lang: eng 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. article_number: '2153' author: - first_name: Ruwen full_name: Fulek, Ruwen id: '79527' last_name: Fulek - first_name: Selina full_name: Ramm, Selina id: '68713' last_name: Ramm orcid: https://orcid.org/0000-0002-0502-8032 - first_name: Christian full_name: Kiera, Christian last_name: Kiera - first_name: Miriam full_name: Pein-Hackelbusch, Miriam id: '64952' last_name: Pein-Hackelbusch orcid: 0000-0002-7920-0595 - first_name: Ulrich full_name: Odefey, Ulrich id: '74218' last_name: Odefey citation: 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 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 bjps: Fulek R et al. (2023) A Machine Learning Approach to Qualitatively Evaluate Different Granulation Phases by Acoustic Emissions. Pharmaceutics 15. 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. 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, . 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' 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). 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.' 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. short: R. Fulek, S. Ramm, C. Kiera, M. Pein-Hackelbusch, U. Odefey, Pharmaceutics 15 (2023). ufg: 'Fulek, Ruwen u. a.: A machine learning approach to qualitatively evaluate different granulation phases by acoustic emissions, in: Pharmaceutics 15 (2023), H. 8.' 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). date_created: 2023-08-15T10:48:15Z date_updated: 2025-07-29T13:21:40Z department: - _id: DEP4022 - _id: DEP4028 - _id: DEP4014 doi: https://doi.org/10.3390/pharmaceutics15082153 external_id: isi: - '001119084200001' pmid: - '37631367' intvolume: ' 15' isi: '1' issue: '8' keyword: - wet granulation - acoustic classification - machine learning - convolutional neural networks language: - iso: eng main_file_link: - open_access: '1' url: https://www.mdpi.com/1999-4923/15/8/2153 oa: '1' place: Basel pmid: '1' publication: Pharmaceutics publication_identifier: eissn: - '1999-4923 ' publication_status: published publisher: MDPI quality_controlled: '1' status: public title: A machine learning approach to qualitatively evaluate different granulation phases by acoustic emissions type: scientific_journal_article user_id: '83781' volume: 15 year: '2023' ... --- _id: '12785' abstract: - lang: eng 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. article_number: '1215' author: - first_name: Paul full_name: Wunderlich, Paul id: '52317' last_name: Wunderlich - first_name: Frauke full_name: Wiegräbe, Frauke id: '76510' last_name: Wiegräbe - first_name: Helene full_name: Dörksen, Helene id: '46416' last_name: Dörksen citation: 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 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 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. 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. 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, . 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' 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). 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.' 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. short: P. Wunderlich, F. Wiegräbe, H. Dörksen, INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 20 (2023). 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.' 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). date_created: 2025-04-14T13:39:52Z date_updated: 2025-06-25T13:11:41Z department: - _id: DEP5023 - _id: DEP5000 doi: 10.3390/ijerph20021215 external_id: isi: - '000918039900001' pmid: - '36673969' intvolume: ' 20' isi: '1' issue: '2' keyword: - machine learning - healthcare - case management - caring - multi-label classification language: - iso: eng place: Basel pmid: '1' publication: INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH publication_identifier: eissn: - 1660-4601 issn: - '1661-7827 ' publication_status: published publisher: MDPI quality_controlled: '1' status: public title: Digital Case Manager-A Data-Driven Tool to Support Family Caregivers with Initial Guidance type: scientific_journal_article user_id: '83781' volume: 20 year: '2023' ... --- _id: '12811' abstract: - lang: eng 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. author: - first_name: Helmand full_name: Shayan, Helmand id: '79365' last_name: Shayan - first_name: Kai full_name: Krycki, Kai last_name: Krycki - first_name: Marco full_name: Doemeland, Marco last_name: Doemeland - first_name: Markus full_name: Lange-Hegermann, Markus id: '71761' last_name: Lange-Hegermann citation: 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 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 bjps: Shayan H et al. (2023) PGNAA Spectral Classification of Metal With Density Estimations. IEEE Transactions on Nuclear Science 70, 1171–1177. 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.' 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, .' 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' 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. 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.' 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. short: H. Shayan, K. Krycki, M. Doemeland, M. Lange-Hegermann, IEEE Transactions on Nuclear Science 70 (2023) 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.' 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. date_created: 2025-04-16T12:38:21Z date_updated: 2025-06-26T07:45:59Z department: - _id: DEP5023 doi: 10.1109/tns.2023.3242626 external_id: isi: - '001012981300044' intvolume: ' 70' isi: '1' issue: '6' keyword: - Classification of metal - kernel density estimation - maximum log-likelihood - online classification - prompt gamma neutron activation analysis (PGNAA) spectral classification - random sampling language: - iso: eng page: 1171-1177 place: New York, NY publication: IEEE Transactions on Nuclear Science publication_identifier: eissn: - 1558-1578 issn: - 0018-9499 publication_status: published publisher: IEEE status: public title: PGNAA Spectral Classification of Metal With Density Estimations type: scientific_journal_article user_id: '83781' volume: 70 year: '2023' ... --- _id: '5425' abstract: - lang: eng 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. author: - first_name: Imke full_name: Weishaupt, Imke id: '58425' last_name: Weishaupt - first_name: Peter full_name: Neubauer, Peter last_name: Neubauer - first_name: Jan full_name: Schneider, Jan id: '13209' last_name: Schneider orcid: 0000-0001-6401-8873 citation: 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 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 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. 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.' 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, .' 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. 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. short: I. Weishaupt, P. Neubauer, J. Schneider, Food Science & Nutrition 10 (2022) 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.' 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. date_created: 2021-04-08T06:37:30Z date_updated: 2025-06-26T13:32:36Z department: - _id: DEP4000 - _id: DEP1308 doi: ' https://doi.org/10.1002/fsn3.2709' external_id: isi: - '000739093400001' pmid: - '35311170' intvolume: ' 10' isi: '1' issue: '3' keyword: - flash pasteurization - fruit juice characterization and classification - inline near-infrared spectroscopy - multivariate data analysis language: - iso: eng page: 800-812 pmid: '1' publication: Food Science & Nutrition publication_identifier: issn: - 2048-7177 publication_status: published publisher: Wiley status: public title: Near-infrared spectroscopy for the inline classification and characterization of fruit juices for a product-customized flash pasteurization type: journal_article user_id: '83781' volume: 10 year: '2022' ... --- _id: '12808' 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. article_number: '103301' author: - first_name: Peng full_name: Li, Peng id: '58937' last_name: Li - first_name: Oliver full_name: Niggemann, Oliver id: '10876' last_name: Niggemann citation: 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 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 bjps: Li P and Niggemann O (2019) Non-Convex Hull Based Anomaly Detection in CPPS. Engineering Applications of Artificial Intelligence 87. 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. 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, . 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)' havard: P. Li, O. Niggemann, Non-convex hull based anomaly detection in CPPS, Engineering Applications of Artificial Intelligence. 87 (2019). 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.' 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. short: P. Li, O. Niggemann, Engineering Applications of Artificial Intelligence 87 (2019). ufg: 'Li, Peng/Niggemann, Oliver: Non-convex hull based anomaly detection in CPPS, in: Engineering Applications of Artificial Intelligence 87 (2019).' van: Li P, Niggemann O. Non-convex hull based anomaly detection in CPPS. Engineering Applications of Artificial Intelligence. 2019;87. date_created: 2025-04-16T09:51:12Z date_updated: 2025-06-26T13:34:10Z department: - _id: DEP5023 doi: 10.1016/j.engappai.2019.103301 external_id: isi: - '000506715100040' intvolume: ' 87' isi: '1' keyword: - One-class classification - n-dimensional oriented non-convex hull - Anomaly detection - CPPS language: - iso: eng place: Amsterdam [u.a.] publication: Engineering Applications of Artificial Intelligence publication_identifier: eissn: - 1873-6769 issn: - 0952-1976 publication_status: published publisher: Elsevier BV status: public title: Non-convex hull based anomaly detection in CPPS type: scientific_journal_article user_id: '83781' volume: 87 year: '2019' ... --- _id: '2015' 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.' author: - first_name: Helene full_name: Dörksen, Helene id: '46416' last_name: Dörksen - first_name: Volker full_name: Lohweg, Volker id: '1804' last_name: Lohweg orcid: 0000-0002-3325-7887 citation: 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' 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' 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.' 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.' 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, .' 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' 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.' 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. 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. 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.' 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.' 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.' conference: end_date: 2017-02-26 location: Porto, Protugal name: '6. International Conference on Pattern Recognition Applications and Methods ' start_date: 2017-02-24 date_created: 2019-11-25T08:59:43Z date_updated: 2023-03-15T13:49:38Z department: - _id: DEP5023 doi: 10.5220/0006115502930300 keyword: - Refinement of Classification - Robust Classification - Classification within Small/Incomplete Samples language: - iso: eng main_file_link: - open_access: '1' url: http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0006115502930300 oa: '1' page: 293-300 place: ' [Setúbal]' publication: Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods publication_identifier: isbn: - '9789897582226' publication_status: published publisher: SCITEPRESS - Science and Technology Publications, Lda. status: public title: Margin-based Refinement for Support-Vector-Machine Classification type: conference user_id: '15514' year: 2017 ... --- _id: '12242' abstract: - lang: eng 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.' author: - first_name: G. full_name: Kirillin, G. last_name: Kirillin - first_name: Tom full_name: Shatwell, Tom id: '86424' last_name: Shatwell orcid: 0000-0002-4520-7916 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 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 bjps: Kirillin G and Shatwell T (2016) Generalized Scaling of Seasonal Thermal Stratification in Lakes. Earth-Science Reviews 161, 179–190. 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.' 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, .' 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' havard: G. Kirillin, T. Shatwell, Generalized scaling of seasonal thermal stratification in lakes, Earth-Science Reviews. 161 (2016) 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.' 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. short: G. Kirillin, T. Shatwell, 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.' van: Kirillin G, Shatwell T. Generalized scaling of seasonal thermal stratification in lakes. Earth-Science Reviews. 2016;161:179–90. date_created: 2024-12-08T20:35:50Z date_updated: 2024-12-09T10:04:30Z department: - _id: DEP8022 doi: 10.1016/j.earscirev.2016.08.008 extern: '1' intvolume: ' 161' keyword: - Richardson number - Lake classification - Seasonal stratification - Dimixis - Polymixis - Water transparency - Lake databases - Lake modeling - Secchi depth language: - iso: eng main_file_link: - url: https://doi.org/10.1016/j.earscirev.2016.08.008 page: 179-190 publication: Earth-Science Reviews publication_identifier: issn: - 0012-8252 publication_status: published publisher: Elsevier BV quality_controlled: '1' status: public title: Generalized scaling of seasonal thermal stratification in lakes type: scientific_journal_article user_id: '83781' volume: 161 year: '2016' ... --- _id: '2141' abstract: - lang: eng text: Sensor and information fusion is recently a major topic which becomes important in machine diagnosis and conditioning for complex production machines and process engineering. It is a known fact that distributed automation systems have a major impact on signal processing and pattern recognition for machine diagnosis. Therefore, it is necessary to research and develop smart diagnosis methods which are applicable for distributed systems like resource-limited cyber-physical systems. In this paper we propose an new approach for sensor and information fusion based on Evidence Theory and socio-psychological decision-making. We show that context based condition monitoring is instantiated even in conflict situations, oc-curing in real life scenarios permanently. A simple but effective importance measure is proposed which controls the significance of conditioning propositions in a system. author: - first_name: Uwe full_name: Mönks, Uwe id: '1825' last_name: Mönks - first_name: Volker full_name: Lohweg, Volker id: '1804' last_name: Lohweg orcid: 0000-0002-3325-7887 citation: ama: 'Mönks U, Lohweg V. Machine Conditioning by Importance Controlled Information Fusion. In: IEEE, ed. 18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Cagliari, Italy; 2013. doi:10.1109/ETFA.2013.6647984' apa: Mönks, U., & Lohweg, V. (2013). Machine Conditioning by Importance Controlled Information Fusion. In IEEE (Ed.), 18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Cagliari, Italy. https://doi.org/10.1109/ETFA.2013.6647984 bjps: Mönks U and Lohweg V (2013) Machine Conditioning by Importance Controlled Information Fusion. In IEEE (ed.), 18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Cagliari, Italy. chicago: Mönks, Uwe, and Volker Lohweg. “Machine Conditioning by Importance Controlled Information Fusion.” In 18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), edited by IEEE. Cagliari, Italy, 2013. https://doi.org/10.1109/ETFA.2013.6647984. chicago-de: 'Mönks, Uwe und Volker Lohweg. 2013. Machine Conditioning by Importance Controlled Information Fusion. In: 18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), hg. von IEEE. Cagliari, Italy. doi:10.1109/ETFA.2013.6647984, .' din1505-2-1: 'Mönks, Uwe ; Lohweg, Volker: Machine Conditioning by Importance Controlled Information Fusion. In: IEEE (Hrsg.): 18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Cagliari, Italy, 2013' havard: 'U. Mönks, V. Lohweg, Machine Conditioning by Importance Controlled Information Fusion, in: IEEE (Ed.), 18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Cagliari, Italy, 2013.' ieee: U. Mönks and V. Lohweg, “Machine Conditioning by Importance Controlled Information Fusion,” in 18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 2013. mla: Mönks, Uwe, and Volker Lohweg. “Machine Conditioning by Importance Controlled Information Fusion.” 18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), edited by IEEE, 2013, doi:10.1109/ETFA.2013.6647984. short: 'U. Mönks, V. Lohweg, in: IEEE (Ed.), 18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Cagliari, Italy, 2013.' ufg: 'Mönks, Uwe/Lohweg, Volker (2013): Machine Conditioning by Importance Controlled Information Fusion, in: IEEE (Hg.): 18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Cagliari, Italy.' van: 'Mönks U, Lohweg V. Machine Conditioning by Importance Controlled Information Fusion. In: IEEE, editor. 18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Cagliari, Italy; 2013.' corporate_editor: - IEEE date_created: 2019-12-04T09:30:15Z date_updated: 2023-03-15T13:49:39Z department: - _id: DEP5023 doi: 10.1109/ETFA.2013.6647984 keyword: - Decision making - Robot sensing systems - Reliability - Production - Context - Fuzzy set theory - Data integration language: - iso: eng place: Cagliari, Italy publication: 18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) publication_identifier: eisbn: - 978-1-4799-0864-6 eissn: - '1946-0759 ' isbn: - 978-1-4799-0862-2 issn: - '1946-0740 ' publication_status: published status: public title: Machine Conditioning by Importance Controlled Information Fusion type: conference user_id: '45673' year: 2013 ... --- _id: '2104' abstract: - lang: eng 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. author: - first_name: Volker full_name: Lohweg, Volker id: '1804' last_name: Lohweg orcid: 0000-0002-3325-7887 - first_name: Helene full_name: Dörksen, Helene id: '46416' last_name: Dörksen - first_name: Eugen full_name: Gillich, Eugen id: '1706' last_name: Gillich - first_name: Roland full_name: Hildebrand, Roland id: '1639' last_name: Hildebrand - first_name: Jan Leif full_name: Hoffmann, Jan Leif id: '46243' last_name: Hoffmann - first_name: Johannes full_name: Schaede, Johannes id: '2128' last_name: Schaede citation: 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.' 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.' 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.' 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.' 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.' 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)' 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).' 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.' 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.' 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). 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.' 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;' date_created: 2019-12-03T06:34:28Z date_updated: 2023-03-15T13:49:38Z department: - _id: DEP5023 keyword: - authentication - anti-counterfeit features - mobile device - smartphone - wavelet transform - pattern recognition - Sound-of-Intaglio language: - iso: eng publication: Optical Document Security - The Conference on Optical Security and Counterfeit Detection III status: public 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. ' type: journal_article user_id: '45673' year: 2012 ... --- _id: '2107' abstract: - lang: eng text: In this paper we propose a novel, extended perspective on evidential aggregation rules in machine condition monitoring. First, aspects regarding the interconnections between Dempster-Shafer, Fuzzy Set, and Possibility Theory are shown. Subsequently, a novel approach for direct determination of basic probability assignments using Fuzzy membership functions is proposed. Finally, it is applied to a pipe extrusion line's condition monitoring system, considering and reducing pairwise conflicts. author: - first_name: Uwe full_name: Mönks, Uwe id: '1825' last_name: Mönks - first_name: Karl full_name: Voth, Karl last_name: Voth - first_name: Volker full_name: Lohweg, Volker id: '1804' last_name: Lohweg orcid: 0000-0002-3325-7887 citation: ama: 'Mönks U, Voth K, Lohweg V. An Extended Perspective on Evidential Aggregation Rules in Machine Conditioning. In: IEEE CIP 2012, Third International Workshop on Cognitive Information Processing, May 28-30 2012, Parador de Baiona, Spain. ; 2012. doi:10.1109/CIP.2012.6232905' apa: Mönks, U., Voth, K., & Lohweg, V. (2012). An Extended Perspective on Evidential Aggregation Rules in Machine Conditioning. In IEEE CIP 2012, Third International Workshop on Cognitive Information Processing, May 28-30 2012, Parador de Baiona, Spain. https://doi.org/10.1109/CIP.2012.6232905 bjps: Mönks U, Voth K and Lohweg V (2012) An Extended Perspective on Evidential Aggregation Rules in Machine Conditioning. IEEE CIP 2012, Third International Workshop on Cognitive Information Processing, May 28-30 2012, Parador de Baiona, Spain. chicago: Mönks, Uwe, Karl Voth, and Volker Lohweg. “An Extended Perspective on Evidential Aggregation Rules in Machine Conditioning.” In IEEE CIP 2012, Third International Workshop on Cognitive Information Processing, May 28-30 2012, Parador de Baiona, Spain, 2012. https://doi.org/10.1109/CIP.2012.6232905. chicago-de: 'Mönks, Uwe, Karl Voth und Volker Lohweg. 2012. An Extended Perspective on Evidential Aggregation Rules in Machine Conditioning. In: IEEE CIP 2012, Third International Workshop on Cognitive Information Processing, May 28-30 2012, Parador de Baiona, Spain. doi:10.1109/CIP.2012.6232905, .' din1505-2-1: 'Mönks, Uwe ; Voth, Karl ; Lohweg, Volker: An Extended Perspective on Evidential Aggregation Rules in Machine Conditioning. In: IEEE CIP 2012, Third International Workshop on Cognitive Information Processing, May 28-30 2012, Parador de Baiona, Spain, 2012' havard: 'U. Mönks, K. Voth, V. Lohweg, An Extended Perspective on Evidential Aggregation Rules in Machine Conditioning, in: IEEE CIP 2012, Third International Workshop on Cognitive Information Processing, May 28-30 2012, Parador de Baiona, Spain, 2012.' ieee: U. Mönks, K. Voth, and V. Lohweg, “An Extended Perspective on Evidential Aggregation Rules in Machine Conditioning,” in IEEE CIP 2012, Third International Workshop on Cognitive Information Processing, May 28-30 2012, Parador de Baiona, Spain, 2012. mla: Mönks, Uwe, et al. “An Extended Perspective on Evidential Aggregation Rules in Machine Conditioning.” IEEE CIP 2012, Third International Workshop on Cognitive Information Processing, May 28-30 2012, Parador de Baiona, Spain, 2012, doi:10.1109/CIP.2012.6232905. short: 'U. Mönks, K. Voth, V. Lohweg, in: IEEE CIP 2012, Third International Workshop on Cognitive Information Processing, May 28-30 2012, Parador de Baiona, Spain, 2012.' ufg: 'Mönks, Uwe et. al. (2012): An Extended Perspective on Evidential Aggregation Rules in Machine Conditioning, in: IEEE CIP 2012, Third International Workshop on Cognitive Information Processing, May 28-30 2012, Parador de Baiona, Spain.' van: 'Mönks U, Voth K, Lohweg V. An Extended Perspective on Evidential Aggregation Rules in Machine Conditioning. In: IEEE CIP 2012, Third International Workshop on Cognitive Information Processing, May 28-30 2012, Parador de Baiona, Spain. 2012.' date_created: 2019-12-03T06:40:20Z date_updated: 2023-03-15T13:49:38Z department: - _id: DEP5023 doi: 10.1109/CIP.2012.6232905 keyword: - Sensor phenomena and characterization - Production - Sensor fusion - Fuzzy set theory - Conferences - Possibility theory language: - iso: eng main_file_link: - url: https://ieeexplore.ieee.org/abstract/document/6232905/keywords#keywords publication: IEEE CIP 2012, Third International Workshop on Cognitive Information Processing, May 28-30 2012, Parador de Baiona, Spain publication_identifier: eisbn: - 978-1-4673-1878-5 eissn: - '2327-1698 ' isbn: - 978-1-4673-1877-8 issn: - '2327-1671 ' publication_status: published status: public title: An Extended Perspective on Evidential Aggregation Rules in Machine Conditioning type: conference user_id: '45673' year: 2012 ... --- _id: '2113' abstract: - lang: eng text: In this paper, we sketch an idea for the integration of singleclass support vector machines (SVM) into fuzzy class learning. As result,we obtain robust and transparent rule-based fuzzy classification models suitable for online-classification tasks. In particular, the singleclass SVM is employed to extend the applicability of convex fuzzy classifica-tion models to nonconvex datainherent structures. The key point of thisextension is the preservation of the interpretability for both, the classlearning and the classification process. The feasibility of the approach isdemonstrated in the context of a banknote authentication application. author: - first_name: Arne-Jens full_name: Hempel, Arne-Jens last_name: Hempel - first_name: Holger full_name: Hähnel, Holger last_name: Hähnel - first_name: Uwe full_name: Mönks, Uwe id: '1825' last_name: Mönks - first_name: Volker full_name: Lohweg, Volker id: '1804' last_name: Lohweg orcid: 0000-0002-3325-7887 citation: ama: 'Hempel A-J, Hähnel H, Mönks U, Lohweg V. SVM-integrated Fuzzy Pattern Classification for Nonconvex Data-Inherent Structures Applied to Banknote Authentication. In: BVAu 2012 - 3. Jahresolloquium “Bildverarbeitung in Der Automation” Centrum Industrial IT, Lemgo,. inIT-Institut für industrielle Informationstechnik; 2012.' apa: Hempel, A.-J., Hähnel, H., Mönks, U., & Lohweg, V. (2012). SVM-integrated Fuzzy Pattern Classification for Nonconvex Data-Inherent Structures Applied to Banknote Authentication. In BVAu 2012 - 3. Jahresolloquium “Bildverarbeitung in der Automation” Centrum Industrial IT, Lemgo,. inIT-Institut für industrielle Informationstechnik. bjps: Hempel A-J et al. (2012) SVM-Integrated Fuzzy Pattern Classification for Nonconvex Data-Inherent Structures Applied to Banknote Authentication. BVAu 2012 - 3. Jahresolloquium ‘Bildverarbeitung in Der Automation’ Centrum Industrial IT, Lemgo,. inIT-Institut für industrielle Informationstechnik. chicago: Hempel, Arne-Jens, Holger Hähnel, Uwe Mönks, and Volker Lohweg. “SVM-Integrated Fuzzy Pattern Classification for Nonconvex Data-Inherent Structures Applied to Banknote Authentication.” In BVAu 2012 - 3. Jahresolloquium “Bildverarbeitung in Der Automation” Centrum Industrial IT, Lemgo,. inIT-Institut für industrielle Informationstechnik, 2012. chicago-de: 'Hempel, Arne-Jens, Holger Hähnel, Uwe Mönks und Volker Lohweg. 2012. SVM-integrated Fuzzy Pattern Classification for Nonconvex Data-Inherent Structures Applied to Banknote Authentication. In: BVAu 2012 - 3. Jahresolloquium „Bildverarbeitung in der Automation“ Centrum Industrial IT, Lemgo,. inIT-Institut für industrielle Informationstechnik.' din1505-2-1: 'Hempel, Arne-Jens ; Hähnel, Holger ; Mönks, Uwe ; Lohweg, Volker: SVM-integrated Fuzzy Pattern Classification for Nonconvex Data-Inherent Structures Applied to Banknote Authentication. In: BVAu 2012 - 3. Jahresolloquium „Bildverarbeitung in der Automation“ Centrum Industrial IT, Lemgo, : inIT-Institut für industrielle Informationstechnik, 2012' havard: 'A.-J. Hempel, H. Hähnel, U. Mönks, V. Lohweg, SVM-integrated Fuzzy Pattern Classification for Nonconvex Data-Inherent Structures Applied to Banknote Authentication, in: BVAu 2012 - 3. Jahresolloquium “Bildverarbeitung in Der Automation” Centrum Industrial IT, Lemgo, inIT-Institut für industrielle Informationstechnik, 2012.' ieee: A.-J. Hempel, H. Hähnel, U. Mönks, and V. Lohweg, “SVM-integrated Fuzzy Pattern Classification for Nonconvex Data-Inherent Structures Applied to Banknote Authentication,” in BVAu 2012 - 3. Jahresolloquium “Bildverarbeitung in der Automation” Centrum Industrial IT, Lemgo, 2012. mla: Hempel, Arne-Jens, et al. “SVM-Integrated Fuzzy Pattern Classification for Nonconvex Data-Inherent Structures Applied to Banknote Authentication.” BVAu 2012 - 3. Jahresolloquium “Bildverarbeitung in Der Automation” Centrum Industrial IT, Lemgo, inIT-Institut für industrielle Informationstechnik, 2012. short: 'A.-J. Hempel, H. Hähnel, U. Mönks, V. Lohweg, in: BVAu 2012 - 3. Jahresolloquium “Bildverarbeitung in Der Automation” Centrum Industrial IT, Lemgo, inIT-Institut für industrielle Informationstechnik, 2012.' ufg: 'Hempel, Arne-Jens et. al. (2012): SVM-integrated Fuzzy Pattern Classification for Nonconvex Data-Inherent Structures Applied to Banknote Authentication, in: BVAu 2012 - 3. Jahresolloquium „Bildverarbeitung in der Automation“ Centrum Industrial IT, Lemgo,.' van: 'Hempel A-J, Hähnel H, Mönks U, Lohweg V. SVM-integrated Fuzzy Pattern Classification for Nonconvex Data-Inherent Structures Applied to Banknote Authentication. In: BVAu 2012 - 3 Jahresolloquium “Bildverarbeitung in der Automation” Centrum Industrial IT, Lemgo,. inIT-Institut für industrielle Informationstechnik; 2012.' date_created: 2019-12-03T06:50:52Z date_updated: 2023-03-15T13:49:38Z department: - _id: DEP5023 keyword: - fuzzy classification - pattern recognition - single-class support vector machine - data mining language: - iso: eng publication: BVAu 2012 - 3. Jahresolloquium "Bildverarbeitung in der Automation" Centrum Industrial IT, Lemgo, publisher: inIT-Institut für industrielle Informationstechnik status: public title: SVM-integrated Fuzzy Pattern Classification for Nonconvex Data-Inherent Structures Applied to Banknote Authentication type: conference user_id: '45673' year: 2012 ... --- _id: '2117' abstract: - lang: eng text: The present work aims at a statistically motivated parameterisation for a fuzzy classification approach. Its key points are the determination of robust parameterisations for the data-driven fuzzy class learning based an statistical analyses as well as the preservation of the interpretability of the fuzzy class models and the classification process. In particular, order statistics and Monte Carlo methods are used to determine distributions and moments of class border parameters. These distributions and moments are further applied to evaluate the robustness of parameters of the current fuzzy classification model and to propose alternative robust parameterisations. The feasibility of the approach is demonstrated in the context of a machine diagnosis application. author: - first_name: Holger full_name: Hähnel, Holger last_name: Hähnel - first_name: Arne-Jens full_name: Hempel, Arne-Jens last_name: Hempel - first_name: Uwe full_name: Mönks, Uwe id: '1825' last_name: Mönks - first_name: Volker full_name: Lohweg, Volker id: '1804' last_name: Lohweg orcid: 0000-0002-3325-7887 citation: ama: 'Hähnel H, Hempel A-J, Mönks U, Lohweg V. Integration of Statistical Analyses for Parametrisation of the Fuzzy Pattern Classification. In: Hüllermeier E, Hoffmann F, eds. 22. Workshop Computational Intelligence, 06.-7.12.2012, Dortmund . Düsseldorf: VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA); 2012:115-131.' apa: 'Hähnel, H., Hempel, A.-J., Mönks, U., & Lohweg, V. (2012). Integration of Statistical Analyses for Parametrisation of the Fuzzy Pattern Classification. In E. Hüllermeier & F. Hoffmann (Eds.), 22. Workshop Computational Intelligence, 06.-7.12.2012, Dortmund (pp. 115–131). Düsseldorf: VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA).' bjps: 'Hähnel H et al. (2012) Integration of Statistical Analyses for Parametrisation of the Fuzzy Pattern Classification. In Hüllermeier E and Hoffmann F (eds), 22. Workshop Computational Intelligence, 06.-7.12.2012, Dortmund . Düsseldorf: VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), pp. 115–131.' chicago: 'Hähnel, Holger, Arne-Jens Hempel, Uwe Mönks, and Volker Lohweg. “Integration of Statistical Analyses for Parametrisation of the Fuzzy Pattern Classification.” In 22. Workshop Computational Intelligence, 06.-7.12.2012, Dortmund , edited by Eike Hüllermeier and Frank Hoffmann, 115–31. Düsseldorf: VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), 2012.' chicago-de: 'Hähnel, Holger, Arne-Jens Hempel, Uwe Mönks und Volker Lohweg. 2012. Integration of Statistical Analyses for Parametrisation of the Fuzzy Pattern Classification. In: 22. Workshop Computational Intelligence, 06.-7.12.2012, Dortmund , hg. von Eike Hüllermeier und Frank Hoffmann, 115–131. Düsseldorf: VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA).' din1505-2-1: 'Hähnel, Holger ; Hempel, Arne-Jens ; Mönks, Uwe ; Lohweg, Volker: Integration of Statistical Analyses for Parametrisation of the Fuzzy Pattern Classification. In: Hüllermeier, E. ; Hoffmann, F. (Hrsg.): 22. Workshop Computational Intelligence, 06.-7.12.2012, Dortmund . Düsseldorf : VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), 2012, S. 115–131' havard: 'H. Hähnel, A.-J. Hempel, U. Mönks, V. Lohweg, Integration of Statistical Analyses for Parametrisation of the Fuzzy Pattern Classification, in: E. Hüllermeier, F. Hoffmann (Eds.), 22. Workshop Computational Intelligence, 06.-7.12.2012, Dortmund , VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), Düsseldorf, 2012: pp. 115–131.' ieee: H. Hähnel, A.-J. Hempel, U. Mönks, and V. Lohweg, “Integration of Statistical Analyses for Parametrisation of the Fuzzy Pattern Classification,” in 22. Workshop Computational Intelligence, 06.-7.12.2012, Dortmund , 2012, pp. 115–131. mla: Hähnel, Holger, et al. “Integration of Statistical Analyses for Parametrisation of the Fuzzy Pattern Classification.” 22. Workshop Computational Intelligence, 06.-7.12.2012, Dortmund , edited by Eike Hüllermeier and Frank Hoffmann, VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), 2012, pp. 115–31. short: 'H. Hähnel, A.-J. Hempel, U. Mönks, V. Lohweg, in: E. Hüllermeier, F. Hoffmann (Eds.), 22. Workshop Computational Intelligence, 06.-7.12.2012, Dortmund , VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), Düsseldorf, 2012, pp. 115–131.' ufg: 'Hähnel, Holger et. al. (2012): Integration of Statistical Analyses for Parametrisation of the Fuzzy Pattern Classification, in: Eike Hüllermeier/Frank Hoffmann (Hgg.): 22. Workshop Computational Intelligence, 06.-7.12.2012, Dortmund , Düsseldorf, S. 115–131.' van: 'Hähnel H, Hempel A-J, Mönks U, Lohweg V. Integration of Statistical Analyses for Parametrisation of the Fuzzy Pattern Classification. In: Hüllermeier E, Hoffmann F, editors. 22 Workshop Computational Intelligence, 06-7122012, Dortmund . Düsseldorf: VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA); 2012. p. 115–31.' date_created: 2019-12-03T06:59:40Z date_updated: 2023-03-15T13:49:38Z ddc: - '600' department: - _id: DEP5023 editor: - first_name: 'Eike ' full_name: 'Hüllermeier, Eike ' last_name: Hüllermeier - first_name: Frank full_name: Hoffmann, Frank last_name: Hoffmann file: - access_level: closed content_type: application/pdf creator: 6bl-f5s date_created: 2019-12-03T07:00:42Z date_updated: 2019-12-03T07:00:42Z file_id: '2118' file_name: lohweg_integration.pdf file_size: 728201 relation: main_file file_date_updated: 2019-12-03T07:00:42Z has_accepted_license: '1' keyword: - Fuzzy-Regelung language: - iso: eng page: 115-131 place: Düsseldorf publication: '22. Workshop Computational Intelligence, 06.-7.12.2012, Dortmund ' publication_identifier: isbn: - 978-3-86644-917-6 publisher: VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA) status: public title: Integration of Statistical Analyses for Parametrisation of the Fuzzy Pattern Classification type: conference user_id: '45673' year: 2012 ... --- _id: '2086' abstract: - lang: eng text: Many of the existing fusion approaches based on Dempster-Shafer Theory (DST) tend to be unreliable in various scenarios. Therefore, this topic is still in discussion. In this work a Two-Layer Conflict Solving (TLCS) data fusion scheme is proposed which is based on Dempster-Shafer Theory and on Fuzzy-Pattern-Classification (FPC) concepts. The aim is to provide an approach to data fusion which provides a stable conflict scenario handling. Furthermore, the scheme can easily be extended to fuzzy classification and is applicable to sensor fusion applications. Therefore, the suggested approach will contribute as a novel fuzzy fusion method. author: - first_name: Volker full_name: Lohweg, Volker id: '1804' last_name: Lohweg orcid: 0000-0002-3325-7887 - first_name: Uwe full_name: Mönks, Uwe id: '1825' last_name: Mönks citation: ama: 'Lohweg V, Mönks U. Sensor Fusion by Two-Layer Conflict Solving. In: The 2nd International Workshop on Cognitive Information Processing. 14-16 June, 2010, Elba Island (Tuscany), Italy; 2010. doi:10.1109/CIP.2010.5604094' apa: 'Lohweg, V., & Mönks, U. (2010). Sensor Fusion by Two-Layer Conflict Solving. In The 2nd International Workshop on Cognitive Information Processing. Elba: 14-16 June, 2010, Elba Island (Tuscany), Italy. https://doi.org/10.1109/CIP.2010.5604094' bjps: Lohweg V and Mönks U (2010) Sensor Fusion by Two-Layer Conflict Solving. The 2nd International Workshop on Cognitive Information Processing. 14-16 June, 2010, Elba Island (Tuscany), Italy. chicago: Lohweg, Volker, and Uwe Mönks. “Sensor Fusion by Two-Layer Conflict Solving.” In The 2nd International Workshop on Cognitive Information Processing. 14-16 June, 2010, Elba Island (Tuscany), Italy, 2010. https://doi.org/10.1109/CIP.2010.5604094. chicago-de: 'Lohweg, Volker und Uwe Mönks. 2010. Sensor Fusion by Two-Layer Conflict Solving. In: The 2nd International Workshop on Cognitive Information Processing. 14-16 June, 2010, Elba Island (Tuscany), Italy. doi:10.1109/CIP.2010.5604094, .' din1505-2-1: 'Lohweg, Volker ; Mönks, Uwe: Sensor Fusion by Two-Layer Conflict Solving. In: The 2nd International Workshop on Cognitive Information Processing : 14-16 June, 2010, Elba Island (Tuscany), Italy, 2010' havard: 'V. Lohweg, U. Mönks, Sensor Fusion by Two-Layer Conflict Solving, in: The 2nd International Workshop on Cognitive Information Processing, 14-16 June, 2010, Elba Island (Tuscany), Italy, 2010.' ieee: V. Lohweg and U. Mönks, “Sensor Fusion by Two-Layer Conflict Solving,” in The 2nd International Workshop on Cognitive Information Processing, Elba, 2010. mla: Lohweg, Volker, and Uwe Mönks. “Sensor Fusion by Two-Layer Conflict Solving.” The 2nd International Workshop on Cognitive Information Processing, 14-16 June, 2010, Elba Island (Tuscany), Italy, 2010, doi:10.1109/CIP.2010.5604094. short: 'V. Lohweg, U. Mönks, in: The 2nd International Workshop on Cognitive Information Processing, 14-16 June, 2010, Elba Island (Tuscany), Italy, 2010.' ufg: 'Lohweg, Volker/Mönks, Uwe (2010): Sensor Fusion by Two-Layer Conflict Solving, in: The 2nd International Workshop on Cognitive Information Processing.' van: 'Lohweg V, Mönks U. Sensor Fusion by Two-Layer Conflict Solving. In: The 2nd International Workshop on Cognitive Information Processing. 14-16 June, 2010, Elba Island (Tuscany), Italy; 2010.' conference: end_date: 2010-06-16 location: Elba name: ' 2010 2nd International Workshop on Cognitive Information Processing' start_date: 2010-06-14 date_created: 2019-12-02T08:04:18Z date_updated: 2023-03-15T13:49:38Z department: - _id: DEP5023 doi: 10.1109/CIP.2010.5604094 keyword: - Noise measurement - Fuzzy sets - Noise - Sensor fusion - Logic gates - Feature extraction - Fuses language: - iso: eng publication: The 2nd International Workshop on Cognitive Information Processing publication_identifier: eisbn: - 978-1-4244-6459-3 isbn: - 978-1-4244-6457-9 issn: - '2327-1671 ' unknown: - '2327-1698 ' publication_status: published publisher: 14-16 June, 2010, Elba Island (Tuscany), Italy status: public title: Sensor Fusion by Two-Layer Conflict Solving type: conference user_id: '45673' year: 2010 ... --- _id: '2087' abstract: - lang: eng text: It is likely in real-world applications that only little data isavailable for training a knowledge-based system. We present a method forautomatically training the knowledge-representing membership functionsof a Fuzzy-Pattern-Classification system that works also when only littledata is available and the universal set is described insufficiently. Actually,this paper presents how the Modified-Fuzzy-Pattern-Classifier’s member-ship functions are trained using probability distribution functions. author: - first_name: Uwe full_name: Mönks, Uwe id: '1825' last_name: Mönks - first_name: Volker full_name: Lohweg, Volker id: '1804' last_name: Lohweg orcid: 0000-0002-3325-7887 - first_name: Denis full_name: Petker, Denis last_name: Petker citation: ama: 'Mönks U, Lohweg V, Petker D. Fuzzy-Pattern-Classifier Training with Small Data Sets. In: IPMU 2010 - International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems. 28 Jun 2010 - 02 July 2010, Dortmund, Germany; 2010.' apa: Mönks, U., Lohweg, V., & Petker, D. (2010). Fuzzy-Pattern-Classifier Training with Small Data Sets. In IPMU 2010 - International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems. 28 Jun 2010 - 02 July 2010, Dortmund, Germany. bjps: Mönks U, Lohweg V and Petker D (2010) Fuzzy-Pattern-Classifier Training with Small Data Sets. IPMU 2010 - International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems. 28 Jun 2010 - 02 July 2010, Dortmund, Germany. chicago: Mönks, Uwe, Volker Lohweg, and Denis Petker. “Fuzzy-Pattern-Classifier Training with Small Data Sets.” In IPMU 2010 - International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems. 28 Jun 2010 - 02 July 2010, Dortmund, Germany, 2010. chicago-de: 'Mönks, Uwe, Volker Lohweg und Denis Petker. 2010. Fuzzy-Pattern-Classifier Training with Small Data Sets. In: IPMU 2010 - International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems. 28 Jun 2010 - 02 July 2010, Dortmund, Germany.' din1505-2-1: 'Mönks, Uwe ; Lohweg, Volker ; Petker, Denis: Fuzzy-Pattern-Classifier Training with Small Data Sets. In: IPMU 2010 - International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems : 28 Jun 2010 - 02 July 2010, Dortmund, Germany, 2010' havard: 'U. Mönks, V. Lohweg, D. Petker, Fuzzy-Pattern-Classifier Training with Small Data Sets, in: IPMU 2010 - International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems, 28 Jun 2010 - 02 July 2010, Dortmund, Germany, 2010.' ieee: U. Mönks, V. Lohweg, and D. Petker, “Fuzzy-Pattern-Classifier Training with Small Data Sets,” in IPMU 2010 - International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems, 2010. mla: Mönks, Uwe, et al. “Fuzzy-Pattern-Classifier Training with Small Data Sets.” IPMU 2010 - International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems, 28 Jun 2010 - 02 July 2010, Dortmund, Germany, 2010. short: 'U. Mönks, V. Lohweg, D. Petker, in: IPMU 2010 - International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems, 28 Jun 2010 - 02 July 2010, Dortmund, Germany, 2010.' ufg: 'Mönks, Uwe et. al. (2010): Fuzzy-Pattern-Classifier Training with Small Data Sets, in: IPMU 2010 - International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems.' van: 'Mönks U, Lohweg V, Petker D. Fuzzy-Pattern-Classifier Training with Small Data Sets. In: IPMU 2010 - International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems. 28 Jun 2010 - 02 July 2010, Dortmund, Germany; 2010.' date_created: 2019-12-02T08:15:18Z date_updated: 2023-03-15T13:49:38Z department: - _id: DEP5023 keyword: - Fuzzy Logic - Probability Theory - Fuzzy-Pattern-Classification - Machine Learning - Artificial Intelligence - Pattern Recognition language: - iso: eng main_file_link: - open_access: '1' url: https://www.th-owl.de/init/uploads/tx_initdb/00800426_01.pdf oa: '1' publication: IPMU 2010 - International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems publication_status: published publisher: 28 Jun 2010 - 02 July 2010, Dortmund, Germany status: public title: Fuzzy-Pattern-Classifier Training with Small Data Sets type: conference user_id: '45673' year: 2010 ... --- _id: '2082' 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. author: - first_name: Taswar full_name: Iqbal, Taswar last_name: Iqbal - first_name: Dinh Khoi full_name: Le, Dinh Khoi last_name: Le - first_name: Michael full_name: Nolte, Michael last_name: Nolte - first_name: Volker full_name: Lohweg, Volker id: '1804' last_name: Lohweg orcid: 0000-0002-3325-7887 citation: 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' 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' 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: '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.' 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, .' 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' 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.' 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. 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. 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.' 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.' 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).' date_created: 2019-11-29T14:54:54Z date_updated: 2023-03-15T13:49:38Z department: - _id: DEP5023 doi: https://doi.org/10.1007/978-3-642-04617-9_44 intvolume: ' 5803' keyword: - ATMs - human perception - counterfeit resistance - digital authentication - surface coding - pattern recognition language: - iso: eng main_file_link: - url: https://link.springer.com/chapter/10.1007/978-3-642-04617-9_44 page: 347-354 place: Berlin publication: 32nd Annual Conference on Artificial Intelligence Paderborn | September 15 – 18, 2009, accepted for Publication publication_identifier: eisbn: - 978-3-642-04617-9 isbn: - 978-3-642-04616-2 publication_status: published publisher: Springer series_title: Lecture Notes in Computer Science status: public title: 'Human Perception Based Counterfeit Detection for Automated Teller Machines, KI 2009, Artificial Intelligence and Automation ' type: conference user_id: '45673' volume: 5803 year: 2009 ... --- _id: '2069' abstract: - lang: eng text: 'During printed product manufacturing, measures are taken to ensure a certain level of printing quality and security via authentification methods. This is particularly true in the field of security printing, where the quality standards, which must be reached by the end-products, i.e. banknotes, security documents and the like, are very high. It is accepted, that print defects are generated because printing parameters but also machine parameters will change unnoticed in production. Therefore, a new concept for a multi-sensory adaptive learning and classification model based on Fuzzy-Pattern-Classifiers for data inspection, authentification and machine conditioning is proposed. This kind of inspection concept, which combines optical, acoustical and other machine information, produces a large amount of data, which leads to multivariate methods for data analysis. Multivariate methods are useful for analysis of large and complex data sets that consist of many variables measured on large numbers of physical data. A general aim is to improve the known inspection techniques and propose an inspection methodology that can ensure a comprehensive quality control of the printed substrates processed by printing presses, especially printing presses which are designed to process substrates used in the course of the production of banknotes, security documents and others. ' author: - first_name: Walter full_name: Dyck, Walter last_name: Dyck - first_name: Thomas full_name: Türke, Thomas last_name: Türke - first_name: Johannes full_name: Schaede, Johannes id: '2128' last_name: Schaede - first_name: Volker full_name: Lohweg, Volker id: '1804' last_name: Lohweg orcid: 0000-0002-3325-7887 citation: ama: Dyck W, Türke T, Schaede J, Lohweg V. A New Concept on Quality Inspection and Machine Conditioning for Security Prints. Optical Document Security - The 2008 Conference on Optical Security and Counterfeit Deterrence; Reconnaissance International Publishers and Consultants, San Francisco, CA, USA. 2008. apa: Dyck, W., Türke, T., Schaede, J., & Lohweg, V. (2008). A New Concept on Quality Inspection and Machine Conditioning for Security Prints. Optical Document Security - The 2008 Conference on Optical Security and Counterfeit Deterrence; Reconnaissance International Publishers and Consultants, San Francisco, CA, USA. bjps: Dyck W et al. (2008) A New Concept on Quality Inspection and Machine Conditioning for Security Prints. Optical Document Security - The 2008 Conference on Optical Security and Counterfeit Deterrence; Reconnaissance International Publishers and Consultants, San Francisco, CA, USA. chicago: Dyck, Walter, Thomas Türke, Johannes Schaede, and Volker Lohweg. “A New Concept on Quality Inspection and Machine Conditioning for Security Prints.” Optical Document Security - The 2008 Conference on Optical Security and Counterfeit Deterrence; Reconnaissance International Publishers and Consultants, San Francisco, CA, USA, 2008. chicago-de: Dyck, Walter, Thomas Türke, Johannes Schaede und Volker Lohweg. 2008. A New Concept on Quality Inspection and Machine Conditioning for Security Prints. Optical Document Security - The 2008 Conference on Optical Security and Counterfeit Deterrence; Reconnaissance International Publishers and Consultants, San Francisco, CA, USA. din1505-2-1: 'Dyck, Walter ; Türke, Thomas ; Schaede, Johannes ; Lohweg, Volker: A New Concept on Quality Inspection and Machine Conditioning for Security Prints. In: Optical Document Security - The 2008 Conference on Optical Security and Counterfeit Deterrence; Reconnaissance International Publishers and Consultants, San Francisco, CA, USA (2008)' havard: W. Dyck, T. Türke, J. Schaede, V. Lohweg, A New Concept on Quality Inspection and Machine Conditioning for Security Prints, Optical Document Security - The 2008 Conference on Optical Security and Counterfeit Deterrence; Reconnaissance International Publishers and Consultants, San Francisco, CA, USA. (2008). ieee: W. Dyck, T. Türke, J. Schaede, and V. Lohweg, “A New Concept on Quality Inspection and Machine Conditioning for Security Prints,” Optical Document Security - The 2008 Conference on Optical Security and Counterfeit Deterrence; Reconnaissance International Publishers and Consultants, San Francisco, CA, USA, 2008. mla: Dyck, Walter, et al. “A New Concept on Quality Inspection and Machine Conditioning for Security Prints.” Optical Document Security - The 2008 Conference on Optical Security and Counterfeit Deterrence; Reconnaissance International Publishers and Consultants, San Francisco, CA, USA, 2008. short: W. Dyck, T. Türke, J. Schaede, V. Lohweg, Optical Document Security - The 2008 Conference on Optical Security and Counterfeit Deterrence; Reconnaissance International Publishers and Consultants, San Francisco, CA, USA (2008). ufg: 'Dyck, Walter et. al. (2008): A New Concept on Quality Inspection and Machine Conditioning for Security Prints, in: Optical Document Security - The 2008 Conference on Optical Security and Counterfeit Deterrence; Reconnaissance International Publishers and Consultants, San Francisco, CA, USA.' van: Dyck W, Türke T, Schaede J, Lohweg V. A New Concept on Quality Inspection and Machine Conditioning for Security Prints. Optical Document Security - The 2008 Conference on Optical Security and Counterfeit Deterrence; Reconnaissance International Publishers and Consultants, San Francisco, CA, USA. 2008; date_created: 2019-11-29T14:02:12Z date_updated: 2023-03-15T13:49:38Z department: - _id: DEP5023 keyword: - authentification - anti-counterfeit features - inspection - quality - sensor fusion - pattern recognition language: - iso: eng publication: Optical Document Security - The 2008 Conference on Optical Security and Counterfeit Deterrence; Reconnaissance International Publishers and Consultants, San Francisco, CA, USA status: public title: A New Concept on Quality Inspection and Machine Conditioning for Security Prints type: journal_article user_id: '45673' year: 2008 ... --- _id: '2071' abstract: - lang: eng text: In this paper, a fuzzy pattern classification tuning approach is proposed, which is based on fusion concept. In this method, tuning parameters are learned in a training procedure, enabling system to be capable of managing individual classification task. Fuzzy c-means, as a specific instance of Tuning Reference, is employed as a tool to offer membership function which is used for making decisions and its membership function fuses (tunes) another membership function captured from fuzzy pattern classification and then final decisions are made upon fused one. Experiments are taken on five benchmark datasets, one of them shows an equal performance and the other four present better results than each single classifier. author: - first_name: Rui full_name: Li, Rui id: '2000' last_name: Li - first_name: Volker full_name: Lohweg, Volker id: '1804' last_name: Lohweg orcid: 0000-0002-3325-7887 citation: ama: 'Li R, Lohweg V. Fuzzy Pattern Classification Tuning by Parameter Learning based on Fusion Concept. In: In: The 11th Conference on Information Fusion, June 30 - July 3, Cologne, Germany; 2008.' apa: 'Li, R., & Lohweg, V. (2008). Fuzzy Pattern Classification Tuning by Parameter Learning based on Fusion Concept. In: The 11th Conference on Information Fusion, June 30 - July 3, Cologne, Germany.' bjps: 'Li R and Lohweg V (2008) Fuzzy Pattern Classification Tuning by Parameter Learning Based on Fusion Concept. In: The 11th Conference on Information Fusion, June 30 - July 3, Cologne, Germany.' chicago: 'Li, Rui, and Volker Lohweg. “Fuzzy Pattern Classification Tuning by Parameter Learning Based on Fusion Concept.” In: The 11th Conference on Information Fusion, June 30 - July 3, Cologne, Germany, 2008.' chicago-de: 'Li, Rui und Volker Lohweg. 2008. Fuzzy Pattern Classification Tuning by Parameter Learning based on Fusion Concept. In: . In: The 11th Conference on Information Fusion, June 30 - July 3, Cologne, Germany.' din1505-2-1: 'Li, Rui ; Lohweg, Volker: Fuzzy Pattern Classification Tuning by Parameter Learning based on Fusion Concept. In:  : In: The 11th Conference on Information Fusion, June 30 - July 3, Cologne, Germany, 2008' havard: 'R. Li, V. Lohweg, Fuzzy Pattern Classification Tuning by Parameter Learning based on Fusion Concept, in: In: The 11th Conference on Information Fusion, June 30 - July 3, Cologne, Germany, 2008.' ieee: R. Li and V. Lohweg, “Fuzzy Pattern Classification Tuning by Parameter Learning based on Fusion Concept,” 2008. mla: 'Li, Rui, and Volker Lohweg. Fuzzy Pattern Classification Tuning by Parameter Learning Based on Fusion Concept. In: The 11th Conference on Information Fusion, June 30 - July 3, Cologne, Germany, 2008.' short: 'R. Li, V. Lohweg, in: In: The 11th Conference on Information Fusion, June 30 - July 3, Cologne, Germany, 2008.' ufg: 'Li, Rui/Lohweg, Volker (2008): Fuzzy Pattern Classification Tuning by Parameter Learning based on Fusion Concept, in: .' van: 'Li R, Lohweg V. Fuzzy Pattern Classification Tuning by Parameter Learning based on Fusion Concept. In In: The 11th Conference on Information Fusion, June 30 - July 3, Cologne, Germany; 2008.' date_created: 2019-11-29T14:09:33Z date_updated: 2023-03-15T13:49:38Z department: - _id: DEP5023 keyword: - tuning parameter - information fusion - fuzzy cmeans - membership function - fuzzy pattern classification language: - iso: eng main_file_link: - url: https://ieeexplore.ieee.org/document/4632223/keywords#full-text-header publication_identifier: isbn: - 978-3-8007-3092-6 publication_status: published publisher: 'In: The 11th Conference on Information Fusion, June 30 - July 3, Cologne, Germany' status: public title: Fuzzy Pattern Classification Tuning by Parameter Learning based on Fusion Concept type: conference user_id: '45673' year: 2008 ... --- _id: '2062' abstract: - lang: eng text: 'Bank note inspection is a complex task. As more and more print techniques and new security features are established, total quality security and bank note printing must be assured. Therefore, this factor necessitates change of a sensorial concept in general. We propose an optical-acoustical inspection method based upon the concepts of information fusion and fuzzy interpretation of data measures. Furthermore, we present a simplified scheme for information fusion for pattern recognition and data classification based on parametrical unimodal potential functions and a Sugeno-type score value analysis. Digital Object Identifier: 10.1109/ICIF.2006.301779
' author: - first_name: Walter full_name: Dyck, Walter last_name: Dyck - first_name: Johannes full_name: Schaede, Johannes id: '2128' last_name: Schaede - first_name: Thomas full_name: Türke, Thomas last_name: Türke - first_name: Volker full_name: Lohweg, Volker id: '1804' last_name: Lohweg orcid: 0000-0002-3325-7887 citation: ama: 'Dyck W, Schaede J, Türke T, Lohweg V. Information Fusion Application On Security Printing With Parametrical Fuzzy Classification. In: 2006 9th International Conference on Information Fusion. 9th International Conference on Information Fusion, 2006. ICIF ’06; 2006:1-8. doi:10.1109/ICIF.2006.301779' apa: Dyck, W., Schaede, J., Türke, T., & Lohweg, V. (2006). Information Fusion Application On Security Printing With Parametrical Fuzzy Classification. In 2006 9th International Conference on Information Fusion (pp. 1–8). 9th International Conference on Information Fusion, 2006. ICIF ’06. https://doi.org/10.1109/ICIF.2006.301779 bjps: Dyck W et al. (2006) Information Fusion Application On Security Printing With Parametrical Fuzzy Classification. 2006 9th International Conference on Information Fusion. 9th International Conference on Information Fusion, 2006. ICIF ’06, pp. 1–8. chicago: Dyck, Walter, Johannes Schaede, Thomas Türke, and Volker Lohweg. “Information Fusion Application On Security Printing With Parametrical Fuzzy Classification.” In 2006 9th International Conference on Information Fusion, 1–8. 9th International Conference on Information Fusion, 2006. ICIF ’06, 2006. https://doi.org/10.1109/ICIF.2006.301779. chicago-de: 'Dyck, Walter, Johannes Schaede, Thomas Türke und Volker Lohweg. 2006. Information Fusion Application On Security Printing With Parametrical Fuzzy Classification. In: 2006 9th International Conference on Information Fusion, 1–8. 9th International Conference on Information Fusion, 2006. ICIF ’06. doi:10.1109/ICIF.2006.301779, .' din1505-2-1: 'Dyck, Walter ; Schaede, Johannes ; Türke, Thomas ; Lohweg, Volker: Information Fusion Application On Security Printing With Parametrical Fuzzy Classification. In: 2006 9th International Conference on Information Fusion : 9th International Conference on Information Fusion, 2006. ICIF ’06, 2006, S. 1–8' havard: 'W. Dyck, J. Schaede, T. Türke, V. Lohweg, Information Fusion Application On Security Printing With Parametrical Fuzzy Classification, in: 2006 9th International Conference on Information Fusion, 9th International Conference on Information Fusion, 2006. ICIF ’06, 2006: pp. 1–8.' ieee: W. Dyck, J. Schaede, T. Türke, and V. Lohweg, “Information Fusion Application On Security Printing With Parametrical Fuzzy Classification,” in 2006 9th International Conference on Information Fusion, 2006, pp. 1–8. mla: Dyck, Walter, et al. “Information Fusion Application On Security Printing With Parametrical Fuzzy Classification.” 2006 9th International Conference on Information Fusion, 9th International Conference on Information Fusion, 2006. ICIF ’06, 2006, pp. 1–8, doi:10.1109/ICIF.2006.301779. short: 'W. Dyck, J. Schaede, T. Türke, V. Lohweg, in: 2006 9th International Conference on Information Fusion, 9th International Conference on Information Fusion, 2006. ICIF ’06, 2006, pp. 1–8.' ufg: 'Dyck, Walter et. al. (2006): Information Fusion Application On Security Printing With Parametrical Fuzzy Classification, in: 2006 9th International Conference on Information Fusion, S. 1–8.' van: 'Dyck W, Schaede J, Türke T, Lohweg V. Information Fusion Application On Security Printing With Parametrical Fuzzy Classification. In: 2006 9th International Conference on Information Fusion. 9th International Conference on Information Fusion, 2006. ICIF ’06; 2006. p. 1–8.' date_created: 2019-11-29T13:35:03Z date_updated: 2023-03-15T13:49:38Z department: - _id: DEP5023 doi: 10.1109/ICIF.2006.301779 keyword: - Information security - Inspection - Printing machinery - Optical sensors - Data security - Personnel - Fuzzy systems - Sensor systems - Expert systems - Ink language: - iso: eng main_file_link: - url: https://ieeexplore.ieee.org/document/4086065/keywords#full-text-header page: 1-8 publication: ' 2006 9th International Conference on Information Fusion' publication_identifier: isbn: - ' 1-4244-0953-5' publication_status: published publisher: 9th International Conference on Information Fusion, 2006. ICIF '06 status: public title: Information Fusion Application On Security Printing With Parametrical Fuzzy Classification type: conference user_id: '45673' year: 2006 ... --- _id: '2058' abstract: - lang: eng text: Nonlinear spatial transforms and fuzzy pattern classification with unimodal potential functions are established in signal processing. They have proved to be excellent tools in feature extraction and classification. In this paper we present a hardware accelerated image processing and classification scheme for rotation and translation tolerant two-dimensional pattern recognition, which is based on one-dimensional nonlinear discrete circular transforms. However, the scheme is simple; it is stable and therefore well suited for industrial applications. An implementation on one field programmable gate array (FPGA) is proposed. author: - first_name: Tobias full_name: Henke, Tobias last_name: Henke - first_name: Volker full_name: Lohweg, Volker id: '1804' last_name: Lohweg orcid: 0000-0002-3325-7887 citation: ama: 'Henke T, Lohweg V. A Simplified Scheme For Hardware-Based Pattern Recognition. In: IEEE International Conference On Image Processing (ICIP), Proceedings. Genova: IEEE; 2005:349-352. doi: 10.1109/ICIP.2005.1529759' apa: 'Henke, T., & Lohweg, V. (2005). A Simplified Scheme For Hardware-Based Pattern Recognition. In IEEE International Conference On Image Processing (ICIP), Proceedings (pp. 349–352). Genova: IEEE. https://doi.org/ 10.1109/ICIP.2005.1529759' bjps: 'Henke T and Lohweg V (2005) A Simplified Scheme For Hardware-Based Pattern Recognition. IEEE International Conference On Image Processing (ICIP), Proceedings. Genova: IEEE, pp. 349–352.' chicago: 'Henke, Tobias, and Volker Lohweg. “A Simplified Scheme For Hardware-Based Pattern Recognition.” In IEEE International Conference On Image Processing (ICIP), Proceedings, 349–52. Genova: IEEE, 2005. https://doi.org/ 10.1109/ICIP.2005.1529759.' chicago-de: 'Henke, Tobias und Volker Lohweg. 2005. A Simplified Scheme For Hardware-Based Pattern Recognition. In: IEEE International Conference On Image Processing (ICIP), Proceedings, 349–352. Genova: IEEE. doi: 10.1109/ICIP.2005.1529759, .' din1505-2-1: 'Henke, Tobias ; Lohweg, Volker: A Simplified Scheme For Hardware-Based Pattern Recognition. In: IEEE International Conference On Image Processing (ICIP), Proceedings. Genova : IEEE, 2005, S. 349–352' havard: 'T. Henke, V. Lohweg, A Simplified Scheme For Hardware-Based Pattern Recognition, in: IEEE International Conference On Image Processing (ICIP), Proceedings, IEEE, Genova, 2005: pp. 349–352.' ieee: T. Henke and V. Lohweg, “A Simplified Scheme For Hardware-Based Pattern Recognition,” in IEEE International Conference On Image Processing (ICIP), Proceedings, 2005, pp. 349–352. mla: Henke, Tobias, and Volker Lohweg. “A Simplified Scheme For Hardware-Based Pattern Recognition.” IEEE International Conference On Image Processing (ICIP), Proceedings, IEEE, 2005, pp. 349–52, doi: 10.1109/ICIP.2005.1529759. short: 'T. Henke, V. Lohweg, in: IEEE International Conference On Image Processing (ICIP), Proceedings, IEEE, Genova, 2005, pp. 349–352.' ufg: 'Henke, Tobias/Lohweg, Volker (2005): A Simplified Scheme For Hardware-Based Pattern Recognition, in: IEEE International Conference On Image Processing (ICIP), Proceedings, Genova, S. 349–352.' van: 'Henke T, Lohweg V. A Simplified Scheme For Hardware-Based Pattern Recognition. In: IEEE International Conference On Image Processing (ICIP), Proceedings. Genova: IEEE; 2005. p. 349–52.' date_created: 2019-11-29T13:17:49Z date_updated: 2023-03-15T13:49:38Z department: - _id: DEP5023 doi: ' 10.1109/ICIP.2005.1529759' keyword: - Pattern recognition - Field programmable gate arrays - Neural networks - Image processing - Discrete transforms - Signal processing - Image retrieval - Image recognition - Transient analysis - Fuzzy systems language: - iso: eng main_file_link: - url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1529759 page: 349 - 352 place: Genova publication: IEEE International Conference On Image Processing (ICIP), Proceedings publication_identifier: eissn: - '2381-8549 ' isbn: - 0-7803-9134-9 issn: - '1522-4880 ' publication_status: published publisher: IEEE status: public title: A Simplified Scheme For Hardware-Based Pattern Recognition type: conference user_id: '45673' year: 2005 ... --- _id: '2056' abstract: - lang: eng text: Nonlinear spatial transforms and fuzzy pattern classification with unimodal potential functions are established in signal processing. They have proved to be excellent tools in feature extraction and classification. In this paper, we will present a hardware-accelerated image processing and classification system which is implemented on one field-programmable gate array (FPGA). Nonlinear discrete circular transforms generate a feature vector. The features are analyzed by a fuzzy classifier. This principle can be used for feature extraction, pattern recognition, and classification tasks. Implementation in radix-2 structures is possible, allowing fast calculations with a computational complexity of up to. Furthermore, the pattern separability properties of these transforms are better than those achieved with the well-known method based on the power spectrum of the Fourier Transform, or on several other transforms. Using different signal flow structures, the transforms can be adapted to different image and signal processing applications. author: - first_name: Volker full_name: Lohweg, Volker id: '1804' last_name: Lohweg orcid: 0000-0002-3325-7887 - first_name: Carsten full_name: Diederichs, Carsten id: '44209' last_name: Diederichs - first_name: Dietmar full_name: Müller, Dietmar last_name: Müller citation: ama: 'Lohweg V, Diederichs C, Müller D. Algorithms for Hardware-Based Pattern Recognition. EURASIP journal on applied signal processing : a publication of the European Association for Speech, Signal, and Image Processing . 2004;12(1):1912-1920. doi:https://doi.org/10.1155/S1110865704404247' apa: 'Lohweg, V., Diederichs, C., & Müller, D. (2004). Algorithms for Hardware-Based Pattern Recognition. EURASIP Journal on Applied Signal Processing : A Publication of the European Association for Speech, Signal, and Image Processing , 12(1), 1912–1920. https://doi.org/10.1155/S1110865704404247' bjps: 'Lohweg V, Diederichs C and Müller D (2004) Algorithms for Hardware-Based Pattern Recognition. EURASIP journal on applied signal processing : a publication of the European Association for Speech, Signal, and Image Processing 12, 1912–1920.' chicago: 'Lohweg, Volker, Carsten Diederichs, and Dietmar Müller. “Algorithms for Hardware-Based Pattern Recognition.” EURASIP Journal on Applied Signal Processing : A Publication of the European Association for Speech, Signal, and Image Processing 12, no. 1 (2004): 1912–20. https://doi.org/10.1155/S1110865704404247.' chicago-de: 'Lohweg, Volker, Carsten Diederichs und Dietmar Müller. 2004. Algorithms for Hardware-Based Pattern Recognition. EURASIP journal on applied signal processing : a publication of the European Association for Speech, Signal, and Image Processing 12, Nr. 1: 1912–1920. doi:https://doi.org/10.1155/S1110865704404247, .' din1505-2-1: 'Lohweg, Volker ; Diederichs, Carsten ; Müller, Dietmar: Algorithms for Hardware-Based Pattern Recognition. In: EURASIP journal on applied signal processing : a publication of the European Association for Speech, Signal, and Image Processing Bd. 12. Akron, Ohio, Hindawi Publ. (2004), Nr. 1, S. 1912–1920' havard: 'V. Lohweg, C. Diederichs, D. Müller, Algorithms for Hardware-Based Pattern Recognition, EURASIP Journal on Applied Signal Processing : A Publication of the European Association for Speech, Signal, and Image Processing . 12 (2004) 1912–1920.' ieee: 'V. Lohweg, C. Diederichs, and D. Müller, “Algorithms for Hardware-Based Pattern Recognition,” EURASIP journal on applied signal processing : a publication of the European Association for Speech, Signal, and Image Processing , vol. 12, no. 1, pp. 1912–1920, 2004.' mla: 'Lohweg, Volker, et al. “Algorithms for Hardware-Based Pattern Recognition.” EURASIP Journal on Applied Signal Processing : A Publication of the European Association for Speech, Signal, and Image Processing , vol. 12, no. 1, Hindawi Publ., 2004, pp. 1912–20, doi:https://doi.org/10.1155/S1110865704404247.' short: 'V. Lohweg, C. Diederichs, D. Müller, EURASIP Journal on Applied Signal Processing : A Publication of the European Association for Speech, Signal, and Image Processing 12 (2004) 1912–1920.' ufg: 'Lohweg, Volker et. al. (2004): Algorithms for Hardware-Based Pattern Recognition, in: EURASIP journal on applied signal processing : a publication of the European Association for Speech, Signal, and Image Processing 12 (1), S. 1912–1920.' van: 'Lohweg V, Diederichs C, Müller D. Algorithms for Hardware-Based Pattern Recognition. EURASIP journal on applied signal processing : a publication of the European Association for Speech, Signal, and Image Processing . 2004;12(1):1912–20.' date_created: 2019-11-29T13:09:05Z date_updated: 2023-03-15T13:49:38Z department: - _id: DEP5023 doi: https://doi.org/10.1155/S1110865704404247 intvolume: ' 12' issue: '1' keyword: - image processing - nonlinear circular transforms - feature extraction - fuzzy pattern recognition language: - iso: eng main_file_link: - open_access: '1' url: https://asp-eurasipjournals.springeropen.com/track/pdf/10.1155/S1110865704404247 oa: '1' page: 1912-1920 place: Akron, Ohio publication: 'EURASIP journal on applied signal processing : a publication of the European Association for Speech, Signal, and Image Processing ' publication_identifier: issn: - '1110-8657 ' publication_status: published publisher: Hindawi Publ. status: public title: Algorithms for Hardware-Based Pattern Recognition type: journal_article user_id: '15514' volume: 12 year: 2004 ... --- _id: '2053' abstract: - lang: ger text: In vielen Bereichen der ein- und zweidimensionalen Signalverarbeitung besteht die Aufgabe Signale oder Objekte unabhängig von ihren aktuellen Positionen mittels geeigneter Merkmale zu klassifizieren. Mit Hilfe schneller nichtlinearer Spektraltransformationen ist eine positionsinvariante Merkmalgewinnung möglich. In dieser Arbeit werden reelle Transformationen vorgestellt, deren Eigenschaften in Bezug auf verschiedene Parameter angepasst werden können. Zu nennen ist das gruppeninvariante Verhalten, der rechentechnische Aufwand und die Implementierbarkeit in applikationsspezifische Schaltungen. Durch unterschiedliche Berechnungsstrukturen kann beispielsweise die Separationseigenschaft aufgabengemäß adaptiert werden. Basierend auf dem Konzept charakteristischer Matrizen wird ein generalisiertes Verfahren zur Berechnung der Transformationen abgeleitet. Bezüglich ihrer Charakteristika können die vorzustellenden Transformationen gegenüber anderen als ebenbürtig oder sogar überlegen bezeichnet werden. In Kombination mit einem Fuzzy-Klassifikationsverfahren (Fuzzy-Pattern-Classification, FPC) wird ein System-On-Programmable-Chip Mustererkennungssystem entwickelt, das auf einem programmierbaren applikationsspezifischen Schaltkreis (FPGA) implementiert wird. Das System ist in der Lage pixel-basierende Bilder zu klassifizieren. In der Anwendung der Druckbildinspektion erweist sich das Mustererkennungssystem als praxisgerecht einsetzbar. - lang: eng text: ' Image retrieval, texture analysis, optical character recognition and general inspection tasks are of main interest in the field of image processing and pattern recognition. Methods which operate automatically are of interest in the above mentioned areas. Therefore, translation invariant transforms are helpful tools for pattern recognition tasks. Nonlinear spatial transforms and fuzzy pattern classification with unimodal potential functions are established in signal processing. They have proved to be excellent tools in feature extraction and classification. In this thesis nonlinear discrete transforms, which are adaptable for different application tasks, will be presented. The adaptivity includes the group specific behaviour, the amount of calculations and the implementability in application specific integrated circuits. The pattern separability properties of these transforms are better compared to that of the well known power spectrum of the Fourier transform and several other known transforms. Furthermore, a hardware accelerator image processing and classification system will presented, which is implemented on one field programmable gate array (FPGA). The system can be used for feature extraction, pattern recognition and classification tasks. In the field of printed image inspection the system is applicable under practical aspects.' alternative_title: - ' On Effective Implementation of Adaptive Spectral Transforms in Application Specific Integrated Circuits' author: - first_name: Volker full_name: Lohweg, Volker id: '1804' last_name: Lohweg orcid: 0000-0002-3325-7887 citation: ama: 'Lohweg V. Ein Beitrag zur effektiven Implementierung adaptiver Spektraltransformationen in applikationsspezifische integrierte Schaltkreise. Chemnitz: Technische Universität Chemnitz; 2003.' apa: 'Lohweg, V. (2003). Ein Beitrag zur effektiven Implementierung adaptiver Spektraltransformationen in applikationsspezifische integrierte Schaltkreise. Chemnitz: Technische Universität Chemnitz.' bjps: 'Lohweg V (2003) Ein Beitrag zur effektiven Implementierung adaptiver Spektraltransformationen in applikationsspezifische integrierte Schaltkreise. Chemnitz: Technische Universität Chemnitz.' chicago: 'Lohweg, Volker. Ein Beitrag zur effektiven Implementierung adaptiver Spektraltransformationen in applikationsspezifische integrierte Schaltkreise. Chemnitz: Technische Universität Chemnitz, 2003.' chicago-de: 'Lohweg, Volker. 2003. Ein Beitrag zur effektiven Implementierung adaptiver Spektraltransformationen in applikationsspezifische integrierte Schaltkreise. Chemnitz: Technische Universität Chemnitz.' din1505-2-1: 'Lohweg, Volker: Ein Beitrag zur effektiven Implementierung adaptiver Spektraltransformationen in applikationsspezifische integrierte Schaltkreise. Chemnitz : Technische Universität Chemnitz, 2003' havard: V. Lohweg, Ein Beitrag zur effektiven Implementierung adaptiver Spektraltransformationen in applikationsspezifische integrierte Schaltkreise, Technische Universität Chemnitz, Chemnitz, 2003. ieee: 'V. Lohweg, Ein Beitrag zur effektiven Implementierung adaptiver Spektraltransformationen in applikationsspezifische integrierte Schaltkreise. Chemnitz: Technische Universität Chemnitz, 2003.' mla: Lohweg, Volker. Ein Beitrag zur effektiven Implementierung adaptiver Spektraltransformationen in applikationsspezifische integrierte Schaltkreise. Technische Universität Chemnitz, 2003. short: V. Lohweg, Ein Beitrag zur effektiven Implementierung adaptiver Spektraltransformationen in applikationsspezifische integrierte Schaltkreise, Technische Universität Chemnitz, Chemnitz, 2003. ufg: 'Lohweg, Volker (2003): Ein Beitrag zur effektiven Implementierung adaptiver Spektraltransformationen in applikationsspezifische integrierte Schaltkreise, Chemnitz.' van: 'Lohweg V. Ein Beitrag zur effektiven Implementierung adaptiver Spektraltransformationen in applikationsspezifische integrierte Schaltkreise. Chemnitz: Technische Universität Chemnitz; 2003. 207 p.' date_created: 2019-11-29T12:54:10Z date_updated: 2023-03-15T13:49:38Z ddc: - '620' department: - _id: DEP5023 keyword: - ASIC - Abbildungseigenschaft - Druckbildkontrolle - Prozessorelement - Systolisches Array - Fuzzy-Maß - Invarianz - Klassifikation - Mehrdimensionale Bildverarbeitung - Mustererkennung - Nichtlineare Transformation language: - iso: ger main_file_link: - open_access: '1' url: https://nbn-resolving.org/urn:nbn:de:swb:ch1-200400031 oa: '1' page: '207' place: Chemnitz publication_status: published publisher: Technische Universität Chemnitz status: public supervisor: - first_name: Dietmar full_name: Müller, Dietmar last_name: Müller - first_name: Gerd full_name: Scarbata, Gerd last_name: Scarbata - first_name: Norman full_name: Bitterlin, Norman last_name: Bitterlin title: Ein Beitrag zur effektiven Implementierung adaptiver Spektraltransformationen in applikationsspezifische integrierte Schaltkreise type: dissertation user_id: '45673' year: 2003 ...