--- _id: '11495' abstract: - lang: eng text: 'To evaluate the suitability of an analytical instrument, essential figures of merit such as the limit of detection (LOD) and the limit of quantification (LOQ) can be employed. However, as the definitions k nown in the literature are mostly applicable to one signal per sample, estimating the LOD for substances with instruments yielding multidimensional results like electronic noses (eNoses) is still challenging. In this paper, we will compare and present different approaches to estimate the LOD for eNoses by employing commonly used multivariate data analysis and regression techniques, including principal component analysis (PCA), principal component regression (PCR), as well as partial least squares regression (PLSR). These methods could subsequently be used to assess the suitability of eNoses to help control and steer processes where volatiles are key process parameters. As a use case, we determined the LODs for key compounds involved in beer maturation, namely acetaldehyde, diacetyl, dimethyl sulfide, ethyl acetate, isobutanol, and 2-phenylethanol, and discussed the suitability of our eNose for that dertermination process. The results of the methods performed demonstrated differences of up to a factor of eight. For diacetyl, the LOD and the LOQ were sufficiently low to suggest potential for monitoring via eNose. ' article_number: '3520' article_type: original author: - first_name: Julia full_name: Kruse, Julia id: '82298' last_name: Kruse - first_name: Julius full_name: Wörner, Julius id: '79011' last_name: Wörner - first_name: Jan full_name: Schneider, Jan id: '13209' last_name: Schneider orcid: 0000-0001-6401-8873 - first_name: Helene full_name: Dörksen, Helene id: '46416' last_name: Dörksen - first_name: Miriam full_name: Pein-Hackelbusch, Miriam id: '64952' last_name: Pein-Hackelbusch orcid: 0000-0002-7920-0595 citation: ama: Kruse J, Wörner J, Schneider J, Dörksen H, Pein-Hackelbusch M. Methods for Estimating the Detection and Quantification Limits of Key Substances in Beer Maturation with Electronic Noses . Sensors. 2024;24(11). doi:10.3390/s24113520 apa: Kruse, J., Wörner, J., Schneider, J., Dörksen, H., & Pein-Hackelbusch, M. (2024). Methods for Estimating the Detection and Quantification Limits of Key Substances in Beer Maturation with Electronic Noses . Sensors, 24(11), Article 3520. https://doi.org/10.3390/s24113520 bjps: Kruse J et al. (2024) Methods for Estimating the Detection and Quantification Limits of Key Substances in Beer Maturation with Electronic Noses . Sensors 24. chicago: Kruse, Julia, Julius Wörner, Jan Schneider, Helene Dörksen, and Miriam Pein-Hackelbusch. “Methods for Estimating the Detection and Quantification Limits of Key Substances in Beer Maturation with Electronic Noses .” Sensors 24, no. 11 (2024). https://doi.org/10.3390/s24113520. chicago-de: Kruse, Julia, Julius Wörner, Jan Schneider, Helene Dörksen und Miriam Pein-Hackelbusch. 2024. Methods for Estimating the Detection and Quantification Limits of Key Substances in Beer Maturation with Electronic Noses . Sensors 24, Nr. 11. doi:10.3390/s24113520, . din1505-2-1: 'Kruse, Julia ; Wörner, Julius ; Schneider, Jan ; Dörksen, Helene ; Pein-Hackelbusch, Miriam: Methods for Estimating the Detection and Quantification Limits of Key Substances in Beer Maturation with Electronic Noses . In: Sensors Bd. 24, MDPI (2024), Nr. 11' havard: J. Kruse, J. Wörner, J. Schneider, H. Dörksen, M. Pein-Hackelbusch, Methods for Estimating the Detection and Quantification Limits of Key Substances in Beer Maturation with Electronic Noses , Sensors. 24 (2024). ieee: 'J. Kruse, J. Wörner, J. Schneider, H. Dörksen, and M. Pein-Hackelbusch, “Methods for Estimating the Detection and Quantification Limits of Key Substances in Beer Maturation with Electronic Noses ,” Sensors, vol. 24, no. 11, Art. no. 3520, 2024, doi: 10.3390/s24113520.' mla: Kruse, Julia, et al. “Methods for Estimating the Detection and Quantification Limits of Key Substances in Beer Maturation with Electronic Noses .” Sensors, vol. 24, no. 11, 3520, 2024, https://doi.org/10.3390/s24113520. short: J. Kruse, J. Wörner, J. Schneider, H. Dörksen, M. Pein-Hackelbusch, Sensors 24 (2024). ufg: 'Kruse, Julia u. a.: Methods for Estimating the Detection and Quantification Limits of Key Substances in Beer Maturation with Electronic Noses , in: Sensors 24 (2024), H. 11.' van: Kruse J, Wörner J, Schneider J, Dörksen H, Pein-Hackelbusch M. Methods for Estimating the Detection and Quantification Limits of Key Substances in Beer Maturation with Electronic Noses . Sensors. 2024;24(11). date_created: 2024-06-03T07:43:48Z date_updated: 2025-06-25T13:00:14Z department: - _id: DEP4028 doi: 10.3390/s24113520 external_id: isi: - '001245424000001' pmid: - '38894312' intvolume: ' 24' isi: '1' issue: '11' keyword: - multidimensional sensor arrays - MOS sensors - beer fermentation - process control - gas analysis - metal oxide semiconductors - intentional data analysis - chemometrics - PLSR - PCA - first-order calibration language: - iso: eng main_file_link: - open_access: '1' url: https://www.mdpi.com/1424-8220/24/11/3520 oa: '1' pmid: '1' publication: Sensors publication_identifier: issn: - '1424-8220 ' publication_status: published publisher: MDPI quality_controlled: '1' status: public title: 'Methods for Estimating the Detection and Quantification Limits of Key Substances in Beer Maturation with Electronic Noses ' type: scientific_journal_article user_id: '83781' volume: 24 year: '2024' ... --- _id: '11982' abstract: - lang: eng text: 'The aim of this study was to investigate if vibroacoustic methods may be used for the non-destructive determination of beef during its aging process. The vibroacoustic method was based on the observation of mechanical changes in the meat during the aging process and was compared with reference data obtained by Warner-Bratzler shear force measurement as well as sensory testing of the tenderness using a ten-part scale. To evaluate the mechanical properties, transfer functions were used representing the time dependency of the signal and thus the viscoelastic behaviour. In this study, a total of 31 roastbeef samples from 16 different young bulls and two older cows were examined from day of slaughter to day 21 of cold storage with regard to their tenderness. For this purpose, vibroacoustic measurements were carried out on the unprocessed/raw meat at intervals of 1–3 days. The reference measurements using sensor technology and Warner-Bratzler shear force measurement were carried out on the first (day of slaughter) and last (21st day) day on slices of roast beef cooked with saturated steam. In the results of all three methods, the shear force measurement, the sensory test and the vibroacoustic method, showed that roastbeef from the same animal but different halves produced different results. Basically, it is possible to predict the tenderness of roastbeef by taking measurements at the beginning of the maturing process for the end of the maturing period using vibroacoustic methods: Data analysis led to a trend function that roughly reflects the actual tenderness, which is generally higher than the real tenderness represented by the shear-force measurement. In order to obtain a better resolution for recording the mechanical changes during the aging process, the measurements should be carried out at shorter intervals.' article_number: '100017' article_type: original author: - first_name: Janna full_name: Tholen, Janna id: '68430' last_name: Tholen - first_name: Jan full_name: Gohe, Jan id: '81432' last_name: Gohe - first_name: Helene full_name: Dörksen, Helene id: '46416' last_name: Dörksen - first_name: Theo full_name: Kiesel, Theo id: '71758' last_name: Kiesel - first_name: Matthias full_name: Upmann, Matthias id: '12666' last_name: Upmann citation: ama: Tholen J, Gohe J, Dörksen H, Kiesel T, Upmann M. Tenderness prediction for beef using novel datea analysis methods based on system dynamic and acoustic signals. Food Physics. 2024;(1). doi:10.1016/j.foodp.2024.100017 apa: Tholen, J., Gohe, J., Dörksen, H., Kiesel, T., & Upmann, M. (2024). Tenderness prediction for beef using novel datea analysis methods based on system dynamic and acoustic signals. Food Physics, 1, Article 100017. https://doi.org/10.1016/j.foodp.2024.100017 bjps: Tholen J et al. (2024) Tenderness Prediction for Beef Using Novel Datea Analysis Methods Based on System Dynamic and Acoustic Signals. Food Physics. chicago: Tholen, Janna, Jan Gohe, Helene Dörksen, Theo Kiesel, and Matthias Upmann. “Tenderness Prediction for Beef Using Novel Datea Analysis Methods Based on System Dynamic and Acoustic Signals.” Food Physics, no. 1 (2024). https://doi.org/10.1016/j.foodp.2024.100017. chicago-de: Tholen, Janna, Jan Gohe, Helene Dörksen, Theo Kiesel und Matthias Upmann. 2024. Tenderness prediction for beef using novel datea analysis methods based on system dynamic and acoustic signals. Food Physics, Nr. 1. doi:10.1016/j.foodp.2024.100017, . din1505-2-1: 'Tholen, Janna ; Gohe, Jan ; Dörksen, Helene ; Kiesel, Theo ; Upmann, Matthias: Tenderness prediction for beef using novel datea analysis methods based on system dynamic and acoustic signals. In: Food Physics, Elsevier (2024), Nr. 1' havard: J. Tholen, J. Gohe, H. Dörksen, T. Kiesel, M. Upmann, Tenderness prediction for beef using novel datea analysis methods based on system dynamic and acoustic signals, Food Physics. (2024). ieee: 'J. Tholen, J. Gohe, H. Dörksen, T. Kiesel, and M. Upmann, “Tenderness prediction for beef using novel datea analysis methods based on system dynamic and acoustic signals,” Food Physics, no. 1, Art. no. 100017, 2024, doi: 10.1016/j.foodp.2024.100017.' mla: Tholen, Janna, et al. “Tenderness Prediction for Beef Using Novel Datea Analysis Methods Based on System Dynamic and Acoustic Signals.” Food Physics, no. 1, 100017, 2024, https://doi.org/10.1016/j.foodp.2024.100017. short: J. Tholen, J. Gohe, H. Dörksen, T. Kiesel, M. Upmann, Food Physics (2024). ufg: 'Tholen, Janna u. a.: Tenderness prediction for beef using novel datea analysis methods based on system dynamic and acoustic signals, in: Food Physics (2024), H. 1.' van: Tholen J, Gohe J, Dörksen H, Kiesel T, Upmann M. Tenderness prediction for beef using novel datea analysis methods based on system dynamic and acoustic signals. Food Physics. 2024;(1). date_created: 2024-10-09T14:38:17Z date_updated: 2024-10-10T06:17:22Z department: - _id: DEP4028 - _id: DEP4019 doi: 10.1016/j.foodp.2024.100017 issue: '1' keyword: - Warner-Bratzler shear force - Vibroacoustic methods - Non-destructively measurement - Viscoelastic meat language: - iso: eng publication: Food Physics publication_identifier: eissn: - 2950-0699 publication_status: published publisher: Elsevier status: public title: Tenderness prediction for beef using novel datea analysis methods based on system dynamic and acoustic signals type: industry_journal_article user_id: '83781' year: '2024' ... --- _id: '13327' abstract: - lang: eng text: 'The aim of this study was to investigate if vibroacoustic methods may be used for the non-destructive determination of beef during its aging process. The vibroacoustic method was based on the observation of mechanical changes in the meat during the aging process and was compared with reference data obtained by Warner-Bratzler shear force measurement as well as sensory testing of the tenderness using a ten-part scale. To evaluate the mechanical properties, transfer functions were used representing the time dependency of the signal and thus the viscoelastic behaviour. In this study, a total of 31 roastbeef samples from 16 different young bulls and two older cows were examined from day of slaughter to day 21 of cold storage with regard to their tenderness. For this purpose, vibroacoustic measurements were carried out on the unprocessed/raw meat at intervals of 1–3 days. The reference measurements using sensor technology and Warner-Bratzler shear force measurement were carried out on the first (day of slaughter) and last (21st day) day on slices of roast beef cooked with saturated steam. In the results of all three methods, the shear force measurement, the sensory test and the vibroacoustic method, showed that roastbeef from the same animal but different halves produced different results. Basically, it is possible to predict the tenderness of roastbeef by taking measurements at the beginning of the maturing process for the end of the maturing period using vibroacoustic methods: Data analysis led to a trend function that roughly reflects the actual tenderness, which is generally higher than the real tenderness represented by the shear-force measurement. In order to obtain a better resolution for recording the mechanical changes during the aging process, the measurements should be carried out at shorter intervals.' article_number: '100017' author: - first_name: Janna full_name: Tholen, Janna id: '80924' last_name: Tholen - first_name: Jan full_name: Gohe, Jan id: '81432' last_name: Gohe - first_name: Helene full_name: Dörksen, Helene id: '46416' last_name: Dörksen - first_name: Theo full_name: Kiesel, Theo id: '71758' last_name: Kiesel - first_name: Matthias full_name: Upmann, Matthias id: '12666' last_name: Upmann citation: ama: Tholen J, Gohe J, Dörksen H, Kiesel T, Upmann M. Tenderness prediction for beef using novel data analysis methods based on system dynamic and acoustic signals. Food Physics. 2024;1(9). doi:10.1016/j.foodp.2024.100017 apa: Tholen, J., Gohe, J., Dörksen, H., Kiesel, T., & Upmann, M. (2024). Tenderness prediction for beef using novel data analysis methods based on system dynamic and acoustic signals. Food Physics, 1(9), Article 100017. https://doi.org/10.1016/j.foodp.2024.100017 bjps: Tholen J et al. (2024) Tenderness Prediction for Beef Using Novel Data Analysis Methods Based on System Dynamic and Acoustic Signals. Food Physics 1. chicago: Tholen, Janna, Jan Gohe, Helene Dörksen, Theo Kiesel, and Matthias Upmann. “Tenderness Prediction for Beef Using Novel Data Analysis Methods Based on System Dynamic and Acoustic Signals.” Food Physics 1, no. 9 (2024). https://doi.org/10.1016/j.foodp.2024.100017. chicago-de: Tholen, Janna, Jan Gohe, Helene Dörksen, Theo Kiesel und Matthias Upmann. 2024. Tenderness prediction for beef using novel data analysis methods based on system dynamic and acoustic signals. Food Physics 1, Nr. 9. doi:10.1016/j.foodp.2024.100017, . din1505-2-1: 'Tholen, Janna ; Gohe, Jan ; Dörksen, Helene ; Kiesel, Theo ; Upmann, Matthias: Tenderness prediction for beef using novel data analysis methods based on system dynamic and acoustic signals. In: Food Physics Bd. 1. Amsterdam, Elsevier BV (2024), Nr. 9' havard: J. Tholen, J. Gohe, H. Dörksen, T. Kiesel, M. Upmann, Tenderness prediction for beef using novel data analysis methods based on system dynamic and acoustic signals, Food Physics. 1 (2024). ieee: 'J. Tholen, J. Gohe, H. Dörksen, T. Kiesel, and M. Upmann, “Tenderness prediction for beef using novel data analysis methods based on system dynamic and acoustic signals,” Food Physics, vol. 1, no. 9, Art. no. 100017, 2024, doi: 10.1016/j.foodp.2024.100017.' mla: Tholen, Janna, et al. “Tenderness Prediction for Beef Using Novel Data Analysis Methods Based on System Dynamic and Acoustic Signals.” Food Physics, vol. 1, no. 9, 100017, 2024, https://doi.org/10.1016/j.foodp.2024.100017. short: J. Tholen, J. Gohe, H. Dörksen, T. Kiesel, M. Upmann, Food Physics 1 (2024). ufg: 'Tholen, Janna u. a.: Tenderness prediction for beef using novel data analysis methods based on system dynamic and acoustic signals, in: Food Physics 1 (2024), H. 9.' van: Tholen J, Gohe J, Dörksen H, Kiesel T, Upmann M. Tenderness prediction for beef using novel data analysis methods based on system dynamic and acoustic signals. Food Physics. 2024;1(9). date_created: 2025-12-12T15:03:34Z date_updated: 2025-12-15T13:08:47Z department: - _id: DEP4028 doi: 10.1016/j.foodp.2024.100017 intvolume: ' 1' issue: '9' keyword: - Warner-Bratzler shear force - Vibroacoustic methods - Non-destructively measurement - Viscoelastic meat language: - iso: eng place: Amsterdam publication: Food Physics publication_identifier: eissn: - 2950-0699 publication_status: published publisher: Elsevier BV status: public title: Tenderness prediction for beef using novel data analysis methods based on system dynamic and acoustic signals type: scientific_journal_article user_id: '83781' volume: 1 year: '2024' ... --- _id: '10326' abstract: - lang: eng text: In the food industry, and especially in wines as products thereof, ethanol and sulfur dioxide play an equally important role. Both substances are important wine quality characteristics as they influence the taste and odor. As both substances comprise volatile matter, electronic noses should be applicable to discriminate the different qualities of wines. Our study investigates the influence of alcohol and sulfur dioxide on the discrimination ability of wines (especially those of the same grape variety) using two different electronic nose systems. One system is equipped with metal oxide sensors and the other with quartz crystal microbalance sensors. Contrary to indications in literature, where the alcohol content is discussed to have a large influence on e-nose results, it was shown that a difference of 1 % ethanol was not sufficient to allow accurate discrimination using Linear Discriminant Analysis by any system. On the positive side, the analyzed concentrations of ethanol (about 12 %) did not superimpose other volatile information. So difference in sulfur dioxide content gave an accuracy for sample discrimination of up to 90.6 % with MOS nose. Thus, we are so far partially able to discriminate wines with electronic noses based on their volatile imprint. author: - first_name: Julius full_name: Wörner, Julius id: '79011' last_name: Wörner - first_name: Helene full_name: Dörksen, Helene id: '46416' last_name: Dörksen - first_name: Miriam full_name: Pein-Hackelbusch, Miriam id: '64952' last_name: Pein-Hackelbusch orcid: 0000-0002-7920-0595 citation: ama: Wörner J, Dörksen H, Pein-Hackelbusch M. Key Indicators for the Discrimination of Wines by Electronic Noses.; 2023. doi:https://doi.org/10.1109/INDIN51400.2023.10217912 apa: Wörner, J., Dörksen, H., & Pein-Hackelbusch, M. (2023). Key Indicators for the Discrimination of Wines by Electronic Noses. In 2023 IEEE 21st International Conference on Industrial Informatics (INDIN). 21st International Conference on Industrial Informatics (INDIN), Lemgo. https://doi.org/10.1109/INDIN51400.2023.10217912 bjps: Wörner J, Dörksen H and Pein-Hackelbusch M (2023) Key Indicators for the Discrimination of Wines by Electronic Noses. . chicago: Wörner, Julius, Helene Dörksen, and Miriam Pein-Hackelbusch. Key Indicators for the Discrimination of Wines by Electronic Noses. 2023 IEEE 21st International Conference on Industrial Informatics (INDIN), 2023. https://doi.org/10.1109/INDIN51400.2023.10217912. chicago-de: Wörner, Julius, Helene Dörksen und Miriam Pein-Hackelbusch. 2023. Key Indicators for the Discrimination of Wines by Electronic Noses. 2023 IEEE 21st International Conference on Industrial Informatics (INDIN). doi:https://doi.org/10.1109/INDIN51400.2023.10217912, . din1505-2-1: 'Wörner, Julius ; Dörksen, Helene ; Pein-Hackelbusch, Miriam: Key Indicators for the Discrimination of Wines by Electronic Noses, 2023' havard: J. Wörner, H. Dörksen, M. Pein-Hackelbusch, Key Indicators for the Discrimination of Wines by Electronic Noses, 2023. ieee: 'J. Wörner, H. Dörksen, and M. Pein-Hackelbusch, Key Indicators for the Discrimination of Wines by Electronic Noses. 2023. doi: https://doi.org/10.1109/INDIN51400.2023.10217912.' mla: Wörner, Julius, et al. “Key Indicators for the Discrimination of Wines by Electronic Noses.” 2023 IEEE 21st International Conference on Industrial Informatics (INDIN), 2023, https://doi.org/10.1109/INDIN51400.2023.10217912. short: J. Wörner, H. Dörksen, M. Pein-Hackelbusch, Key Indicators for the Discrimination of Wines by Electronic Noses, 2023. ufg: 'Wörner, Julius/Dörksen, Helene/Pein-Hackelbusch, Miriam: Key Indicators for the Discrimination of Wines by Electronic Noses, o. O. 2023.' van: Wörner J, Dörksen H, Pein-Hackelbusch M. Key Indicators for the Discrimination of Wines by Electronic Noses. 2023 IEEE 21st International Conference on Industrial Informatics (INDIN). 2023. conference: end_date: 2023-07-20 location: Lemgo name: 21st International Conference on Industrial Informatics (INDIN) start_date: 2023-07-18 date_created: 2023-09-14T05:50:47Z date_updated: 2025-03-13T13:48:05Z department: - _id: DEP4000 - _id: DEP4028 doi: https://doi.org/10.1109/INDIN51400.2023.10217912 keyword: - Ethanol - Pipelines - Metals - Nose - Electronic noses - Sensor systems - Sensors - Quartz crystals - Linear discriminant analysis - Sulfur language: - iso: eng main_file_link: - open_access: '1' url: https://ieeexplore.ieee.org/document/10217912 oa: '1' publication: 2023 IEEE 21st International Conference on Industrial Informatics (INDIN) publication_status: published status: public title: Key Indicators for the Discrimination of Wines by Electronic Noses type: conference_speech user_id: '64952' year: '2023' ... --- _id: '12706' abstract: - lang: eng text: Vaseline, also referred to as petrolatum, is a colloidal dispersion of liquid-crystalline structures of hydrocarbons derived from petroleum. It has long been recognized for its versatile applications in the pharmaceutical industry, with its use in the formulation of various topical medications, wound care products, and drug delivery systems. For pharmaceutical use, petrolatum has to meet the quality standards described in its Pharmacopoeia monograph. The comprised test ranges allow for a broad range of Vaseline qualities on the market, while the tests themselves only poorly discriminate between grades. The only differentiating properties are related to the melting behavior, which is tested via drop point analysis, and the consistency, addressed in the functionality-related characteristics section. In this study, we propose the hypothesis that Near-infrared spectroscopy (NIRS) could be a comparably simple method to evaluate the crystalline behavior of Vaseline qualities. We expect such information to provide additional details for Vaseline quality discrimination. This discrimination would allow the most suitable petroleum jelly to be selected for an existing formulation when the previous one needs to be replaced; for example, due to a manufacturer change. We demonstrate that NIRS in transmission and reflectance mode obtained by traditional continuous spectra acquisition and fragmented NIR spectra acquisition through multi-optical, multi-modal excitation, respectively, can both serve as a basis for detecting Vaseline quality differences, which we have further proven by thermal analysis and tests with semisolid formulations. Additionally, we demonstrate that a lower-cost multi-optical spectrometer in reflectance mode can detect Vaseline quality differences in rotated samples. author: - first_name: Niels Hendrik full_name: Fliedner, Niels Hendrik last_name: Fliedner - first_name: Volker full_name: Lohweg, Volker last_name: Lohweg - first_name: Claudia full_name: Al-Karawi, Claudia last_name: Al-Karawi - first_name: Miriam full_name: Pein-Hackelbusch, Miriam last_name: Pein-Hackelbusch citation: ama: Fliedner NH, Lohweg V, Al-Karawi C, Pein-Hackelbusch M. A Novel Spectroscopic Approach for Vaseline Quality Discrimination. (Dörksen H, Scanzio S, Jasperneite J, et al., eds.). IEEE; 2023. doi:10.1109/indin51400.2023.10218318 apa: Fliedner, N. H., Lohweg, V., Al-Karawi, C., & Pein-Hackelbusch, M. (2023). A Novel Spectroscopic Approach for Vaseline Quality Discrimination. In H. Dörksen, S. Scanzio, J. Jasperneite, L. Wisniewski, K. F. Man, T. Sauter, L. Seno, H. Trsek, V. Vyatkin, & Institute of Electrical and Electronics Engineers (Eds.), 2023 IEEE 21st International Conference on Industrial Informatics (INDIN). IEEE. https://doi.org/10.1109/indin51400.2023.10218318 bjps: 'Fliedner NH et al. (2023) A Novel Spectroscopic Approach for Vaseline Quality Discrimination, Dörksen H et al. (eds). [Piscataway, NJ] : IEEE.' chicago: 'Fliedner, Niels Hendrik, Volker Lohweg, Claudia Al-Karawi, and Miriam Pein-Hackelbusch. A Novel Spectroscopic Approach for Vaseline Quality Discrimination. Edited by Helene Dörksen, Stefano Scanzio, Jürgen Jasperneite, Lukasz Wisniewski, Kim Fung Man, Thilo Sauter, Lucia Seno, Henning Trsek, Valeriy Vyatkin, and Institute of Electrical and Electronics Engineers . 2023 IEEE 21st International Conference on Industrial Informatics (INDIN). [Piscataway, NJ] : IEEE, 2023. https://doi.org/10.1109/indin51400.2023.10218318.' chicago-de: 'Fliedner, Niels Hendrik, Volker Lohweg, Claudia Al-Karawi und Miriam Pein-Hackelbusch. 2023. A Novel Spectroscopic Approach for Vaseline Quality Discrimination. Hg. von Helene Dörksen, Stefano Scanzio, Jürgen Jasperneite, Lukasz Wisniewski, Kim Fung Man, Thilo Sauter, Lucia Seno, Henning Trsek, Valeriy Vyatkin, und Institute of Electrical and Electronics Engineers . 2023 IEEE 21st International Conference on Industrial Informatics (INDIN). [Piscataway, NJ] : IEEE. doi:10.1109/indin51400.2023.10218318, .' din1505-2-1: 'Fliedner, Niels Hendrik ; Lohweg, Volker ; Al-Karawi, Claudia ; Pein-Hackelbusch, Miriam ; Dörksen, H. ; Scanzio, S. ; Jasperneite, J. ; Wisniewski, L. ; Man, K. F. ; Sauter, T. ; Seno, L. ; Trsek, H. ; u. a. (Hrsg.): A Novel Spectroscopic Approach for Vaseline Quality Discrimination. [Piscataway, NJ]  : IEEE, 2023' havard: N.H. Fliedner, V. Lohweg, C. Al-Karawi, M. Pein-Hackelbusch, A Novel Spectroscopic Approach for Vaseline Quality Discrimination, IEEE, [Piscataway, NJ] , 2023. ieee: 'N. H. Fliedner, V. Lohweg, C. Al-Karawi, and M. Pein-Hackelbusch, A Novel Spectroscopic Approach for Vaseline Quality Discrimination. [Piscataway, NJ] : IEEE, 2023. doi: 10.1109/indin51400.2023.10218318.' mla: Fliedner, Niels Hendrik, et al. “A Novel Spectroscopic Approach for Vaseline Quality Discrimination.” 2023 IEEE 21st International Conference on Industrial Informatics (INDIN), edited by Helene Dörksen et al., IEEE, 2023, https://doi.org/10.1109/indin51400.2023.10218318. short: N.H. Fliedner, V. Lohweg, C. Al-Karawi, M. Pein-Hackelbusch, A Novel Spectroscopic Approach for Vaseline Quality Discrimination, IEEE, [Piscataway, NJ] , 2023. ufg: 'Fliedner, Niels Hendrik u. a.: A Novel Spectroscopic Approach for Vaseline Quality Discrimination, hg. von Dörksen, Helene u. a., [Piscataway, NJ] 2023.' van: 'Fliedner NH, Lohweg V, Al-Karawi C, Pein-Hackelbusch M. A Novel Spectroscopic Approach for Vaseline Quality Discrimination. Dörksen H, Scanzio S, Jasperneite J, Wisniewski L, Man KF, Sauter T, et al., editors. 2023 IEEE 21st International Conference on Industrial Informatics (INDIN). [Piscataway, NJ] : IEEE; 2023.' conference: end_date: 2023-07-20 location: Lemgo name: 21st International Conference on Industrial Informatics (INDIN 2023) start_date: 2023-07-18 corporate_editor: - 'Institute of Electrical and Electronics Engineers ' date_created: 2025-03-13T13:48:58Z date_updated: 2025-03-13T14:44:34Z department: - _id: DEP5019 - _id: DEP5023 doi: 10.1109/indin51400.2023.10218318 editor: - first_name: Helene full_name: Dörksen, Helene id: '46416' last_name: Dörksen - first_name: 'Stefano ' full_name: 'Scanzio, Stefano ' last_name: Scanzio - first_name: Jürgen full_name: Jasperneite, Jürgen id: '1899' last_name: Jasperneite - first_name: Lukasz full_name: Wisniewski, Lukasz id: '1710' last_name: Wisniewski - first_name: 'Kim Fung ' full_name: 'Man, Kim Fung ' last_name: Man - first_name: 'Thilo ' full_name: 'Sauter, Thilo ' last_name: Sauter - first_name: 'Lucia ' full_name: 'Seno, Lucia ' last_name: Seno - first_name: Henning full_name: Trsek, Henning id: '1486' last_name: Trsek orcid: 0000-0002-0133-0656 - first_name: 'Valeriy ' full_name: 'Vyatkin, Valeriy ' last_name: Vyatkin keyword: - multimodal sensing - crystalline materials - microstructure - rotation measurement - PCA - calorimetry - pharmaceuticals - European Pharmacopoeia language: - iso: eng place: '[Piscataway, NJ] ' publication: 2023 IEEE 21st International Conference on Industrial Informatics (INDIN) publication_identifier: eisbn: - 978-1-6654-9313-0 isbn: - 978-1-6654-9314-7 publication_status: published publisher: IEEE quality_controlled: '1' status: public title: A Novel Spectroscopic Approach for Vaseline Quality Discrimination type: conference_editor_article user_id: '83781' 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: '12873' abstract: - lang: eng text: Reliable Banknote Authentication is critical for economic stability. Regarding everyday use, recent studies implemented successful techniques using banknote images taken by mobile phone cameras. One challenge in mobile banknote authentication is that it is impossible to collect images by all series/brands of mobile phones. In this study, classification models are implemented that are able to generalize to the samples from a wide number of mobile phone series even though they are trained with samples from a small group of series. Existing state-of-the-art banknote authentication approaches train a separate model per sub-image of a banknote, using the extracted features of that sub-image. A new approach that trains a single global model on the concatenated features of all the sub-images is presented. Furthermore, ensemble models that combine Linear Discriminant Analysis and Deep Neural Networks are employed in order to maximize the accuracy. Implemented techniques were able to reach up to F1-score of 0.99914 on a Euro banknote data set which contain images from 16 different mobile-phone series. The results also indicate that new global model approach can improve the accuracy of the existing banknote authentication techniques in case of model training with images from restricted/incomplete phone series and brands. author: - first_name: Baris Gün full_name: Sürmeli, Baris Gün id: '73806' last_name: Sürmeli - first_name: Eugen full_name: Gillich, Eugen last_name: Gillich - first_name: Helene full_name: Dörksen, Helene id: '46416' last_name: Dörksen citation: ama: Sürmeli BG, Gillich E, Dörksen H. Generalisation Approach for Banknote Authentication by Mobile Devices Trained on Incomplete Samples. Vol 14255. (Iliadis Lazaros , ed.). Springer Nature Switzerland; 2023:332-343. doi:10.1007/978-3-031-44210-0_27 apa: Sürmeli, B. G., Gillich, E., & Dörksen, H. (2023). Generalisation Approach for Banknote Authentication by Mobile Devices Trained on Incomplete Samples. In Lazaros Iliadis (Ed.), Artificial Neural Networks and Machine Learning - ICANN 2023 (Vol. 14255, pp. 332–343). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-44210-0_27 bjps: 'Sürmeli BG, Gillich E and Dörksen H (2023) Generalisation Approach for Banknote Authentication by Mobile Devices Trained on Incomplete Samples, Iliadis Lazaros (ed.). Cham: Springer Nature Switzerland.' chicago: 'Sürmeli, Baris Gün, Eugen Gillich, and Helene Dörksen. Generalisation Approach for Banknote Authentication by Mobile Devices Trained on Incomplete Samples. Edited by Lazaros Iliadis. Artificial Neural Networks and Machine Learning - ICANN 2023. Vol. 14255. Lecture Notes in Computer Science. Cham: Springer Nature Switzerland, 2023. https://doi.org/10.1007/978-3-031-44210-0_27.' chicago-de: 'Sürmeli, Baris Gün, Eugen Gillich und Helene Dörksen. 2023. Generalisation Approach for Banknote Authentication by Mobile Devices Trained on Incomplete Samples. Hg. von Lazaros Iliadis. Artificial Neural Networks and Machine Learning - ICANN 2023. Bd. 14255. Lecture Notes in Computer Science. Cham: Springer Nature Switzerland. doi:10.1007/978-3-031-44210-0_27, .' din1505-2-1: 'Sürmeli, Baris Gün ; Gillich, Eugen ; Dörksen, Helene ; Iliadis, Lazaros (Hrsg.): Generalisation Approach for Banknote Authentication by Mobile Devices Trained on Incomplete Samples, Lecture Notes in Computer Science. Bd. 14255. Cham : Springer Nature Switzerland, 2023' havard: B.G. Sürmeli, E. Gillich, H. Dörksen, Generalisation Approach for Banknote Authentication by Mobile Devices Trained on Incomplete Samples, Springer Nature Switzerland, Cham, 2023. ieee: 'B. G. Sürmeli, E. Gillich, and H. Dörksen, Generalisation Approach for Banknote Authentication by Mobile Devices Trained on Incomplete Samples, vol. 14255. Cham: Springer Nature Switzerland, 2023, pp. 332–343. doi: 10.1007/978-3-031-44210-0_27.' mla: Sürmeli, Baris Gün, et al. “Generalisation Approach for Banknote Authentication by Mobile Devices Trained on Incomplete Samples.” Artificial Neural Networks and Machine Learning - ICANN 2023, edited by Lazaros Iliadis, vol. 14255, Springer Nature Switzerland, 2023, pp. 332–43, https://doi.org/10.1007/978-3-031-44210-0_27. short: B.G. Sürmeli, E. Gillich, H. Dörksen, Generalisation Approach for Banknote Authentication by Mobile Devices Trained on Incomplete Samples, Springer Nature Switzerland, Cham, 2023. ufg: 'Sürmeli, Baris Gün/Gillich, Eugen/Dörksen, Helene: Generalisation Approach for Banknote Authentication by Mobile Devices Trained on Incomplete Samples, Bd. 14255, hg. von Iliadis, Lazaros , Cham 2023 (Lecture Notes in Computer Science).' van: 'Sürmeli BG, Gillich E, Dörksen H. Generalisation Approach for Banknote Authentication by Mobile Devices Trained on Incomplete Samples. Iliadis Lazaros , editor. Artificial Neural Networks and Machine Learning - ICANN 2023. Cham: Springer Nature Switzerland; 2023. (Lecture Notes in Computer Science; vol. 14255).' conference: end_date: 2023-09-29 location: Heraklion, GREECE name: 32nd International Conference on Artificial Neural Networks (ICANN) start_date: 2023-09-26 date_created: 2025-04-28T14:26:30Z date_updated: 2025-06-26T07:55:20Z department: - _id: DEP5023 doi: 10.1007/978-3-031-44210-0_27 editor: - first_name: ' Lazaros ' full_name: 'Iliadis, Lazaros ' last_name: Iliadis intvolume: ' 14255' language: - iso: eng page: 332-343 place: Cham publication: Artificial Neural Networks and Machine Learning - ICANN 2023 publication_identifier: eisbn: - 978-3-031-44210-0 eissn: - 1611-3349 isbn: - 978-3-031-44209-4 issn: - 0302-9743 publication_status: published publisher: Springer Nature Switzerland series_title: Lecture Notes in Computer Science status: public title: Generalisation Approach for Banknote Authentication by Mobile Devices Trained on Incomplete Samples type: conference_editor_article user_id: '83781' volume: 14255 year: '2023' ... --- _id: '13015' abstract: - lang: eng text: food are discarded annually, with a worldwide total exceeding 1.3 billion tonnes. A significant contributor to this issue are consumers throwing away still edible food due to the expiration of its best-before date. Best-before dates currently include large safety margins, but more precise and cost effective prediction techniques are required. To address this challenge, research was conducted on low-cost sensors and machine learning techniques were developed to predict the spoilage of fresh pizza. The findings indicate that combining a gas sensor, such as volatile organic compounds or carbon dioxide, with a random forest or extreme gradient boosting regressor can accurately predict the day of spoilage. This provides a more accurate and cost-efficient alternative to current best-before date determination methods, reducing food waste, saving resources, and improving food safety by reducing the risk of consumers consuming spoiled food. article_number: '1347' author: - first_name: Paul full_name: Wunderlich, Paul id: '52317' last_name: Wunderlich - first_name: Daniel full_name: Pauli, Daniel id: '75850' last_name: Pauli orcid: '0000-0003-0860-4696 ' - first_name: Michael full_name: Neumaier, Michael id: '77059' last_name: Neumaier - first_name: Stephanie full_name: Wisser, Stephanie id: '76627' last_name: Wisser - first_name: Hans-Jürgen full_name: Danneel, Hans-Jürgen id: '12231' last_name: Danneel - 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 citation: ama: Wunderlich P, Pauli D, Neumaier M, et al. Enhancing Shelf Life Prediction of Fresh Pizza with Regression Models and Low Cost Sensors. Foods. 2023;12(6). doi:10.3390/foods12061347 apa: Wunderlich, P., Pauli, D., Neumaier, M., Wisser, S., Danneel, H.-J., Lohweg, V., & Dörksen, H. (2023). Enhancing Shelf Life Prediction of Fresh Pizza with Regression Models and Low Cost Sensors. Foods, 12(6), Article 1347. https://doi.org/10.3390/foods12061347 bjps: Wunderlich P et al. (2023) Enhancing Shelf Life Prediction of Fresh Pizza with Regression Models and Low Cost Sensors. Foods 12. chicago: Wunderlich, Paul, Daniel Pauli, Michael Neumaier, Stephanie Wisser, Hans-Jürgen Danneel, Volker Lohweg, and Helene Dörksen. “Enhancing Shelf Life Prediction of Fresh Pizza with Regression Models and Low Cost Sensors.” Foods 12, no. 6 (2023). https://doi.org/10.3390/foods12061347. chicago-de: Wunderlich, Paul, Daniel Pauli, Michael Neumaier, Stephanie Wisser, Hans-Jürgen Danneel, Volker Lohweg und Helene Dörksen. 2023. Enhancing Shelf Life Prediction of Fresh Pizza with Regression Models and Low Cost Sensors. Foods 12, Nr. 6. doi:10.3390/foods12061347, . din1505-2-1: 'Wunderlich, Paul ; Pauli, Daniel ; Neumaier, Michael ; Wisser, Stephanie ; Danneel, Hans-Jürgen ; Lohweg, Volker ; Dörksen, Helene: Enhancing Shelf Life Prediction of Fresh Pizza with Regression Models and Low Cost Sensors. In: Foods Bd. 12. Basel, MDPI (2023), Nr. 6' havard: P. Wunderlich, D. Pauli, M. Neumaier, S. Wisser, H.-J. Danneel, V. Lohweg, H. Dörksen, Enhancing Shelf Life Prediction of Fresh Pizza with Regression Models and Low Cost Sensors, Foods. 12 (2023). ieee: 'P. Wunderlich et al., “Enhancing Shelf Life Prediction of Fresh Pizza with Regression Models and Low Cost Sensors,” Foods, vol. 12, no. 6, Art. no. 1347, 2023, doi: 10.3390/foods12061347.' mla: Wunderlich, Paul, et al. “Enhancing Shelf Life Prediction of Fresh Pizza with Regression Models and Low Cost Sensors.” Foods, vol. 12, no. 6, 1347, 2023, https://doi.org/10.3390/foods12061347. short: P. Wunderlich, D. Pauli, M. Neumaier, S. Wisser, H.-J. Danneel, V. Lohweg, H. Dörksen, Foods 12 (2023). ufg: 'Wunderlich, Paul u. a.: Enhancing Shelf Life Prediction of Fresh Pizza with Regression Models and Low Cost Sensors, in: Foods 12 (2023), H. 6.' van: Wunderlich P, Pauli D, Neumaier M, Wisser S, Danneel HJ, Lohweg V, et al. Enhancing Shelf Life Prediction of Fresh Pizza with Regression Models and Low Cost Sensors. Foods. 2023;12(6). date_created: 2025-06-24T13:25:13Z date_updated: 2025-06-25T13:13:13Z department: - _id: DEP5023 - _id: DEP1308 doi: 10.3390/foods12061347 external_id: isi: - '000967890400001' pmid: - '36981272' intvolume: ' 12' isi: '1' issue: '6' keyword: - Plant Science - Health Professions (miscellaneous) - Health (social science) - Microbiology - Food Science language: - iso: eng place: Basel pmid: '1' publication: Foods publication_identifier: eissn: - 2304-8158 publication_status: published publisher: 'MDPI ' status: public title: Enhancing Shelf Life Prediction of Fresh Pizza with Regression Models and Low Cost Sensors type: scientific_journal_article user_id: '83781' volume: 12 year: '2023' ... --- _id: '1991' author: - first_name: Mark full_name: Funk, Mark id: '52473' last_name: Funk - first_name: Matthias full_name: Scharf, Matthias id: '65179' last_name: Scharf - first_name: Helene full_name: Dörksen, Helene id: '46416' last_name: Dörksen - first_name: Hans-Jürgen full_name: Danneel, Hans-Jürgen id: '12231' last_name: Danneel - first_name: Volker full_name: Lohweg, Volker id: '1804' last_name: Lohweg orcid: 0000-0002-3325-7887 - first_name: Michael full_name: Hübner, Michael last_name: Hübner - first_name: Johannes full_name: Schaede, Johannes id: '2128' last_name: Schaede - first_name: Rob full_name: Stierman, Rob last_name: Stierman - first_name: Alexander full_name: Knobloch, Alexander last_name: Knobloch - first_name: Dinh Khoi full_name: Le, Dinh Khoi last_name: Le - first_name: Eugen full_name: Gillich, Eugen id: '1706' last_name: Gillich - first_name: Uwe full_name: Mönks, Uwe id: '1825' last_name: Mönks citation: ama: 'Funk M, Scharf M, Dörksen H, et al. Creating a Self-authentication System for Smart Banknotes. In: ODS 2020 Review. ; 2020.' apa: Funk, M., Scharf, M., Dörksen, H., Danneel, H.-J., Lohweg, V., Hübner, M., Schaede, J., Stierman, R., Knobloch, A., Le, D. K., Gillich, E., & Mönks, U. (2020). Creating a Self-authentication System for Smart Banknotes. ODS 2020 Review. bjps: Funk M et al. (2020) Creating a Self-Authentication System for Smart Banknotes. ODS 2020 Review. San Francisco, USA. chicago: Funk, Mark, Matthias Scharf, Helene Dörksen, Hans-Jürgen Danneel, Volker Lohweg, Michael Hübner, Johannes Schaede, et al. “Creating a Self-Authentication System for Smart Banknotes.” In ODS 2020 Review. San Francisco, USA., 2020. chicago-de: 'Funk, Mark, Matthias Scharf, Helene Dörksen, Hans-Jürgen Danneel, Volker Lohweg, Michael Hübner, Johannes Schaede, u. a. 2020. Creating a Self-authentication System for Smart Banknotes. In: ODS 2020 Review. San Francisco, USA.' din1505-2-1: 'Funk, Mark ; Scharf, Matthias ; Dörksen, Helene ; Danneel, Hans-Jürgen ; Lohweg, Volker ; Hübner, Michael ; Schaede, Johannes ; Stierman, Rob ; u. a.: Creating a Self-authentication System for Smart Banknotes. In: ODS 2020 Review. San Francisco, USA., 2020' havard: 'M. Funk, M. Scharf, H. Dörksen, H.-J. Danneel, V. Lohweg, M. Hübner, J. Schaede, R. Stierman, A. Knobloch, D.K. Le, E. Gillich, U. Mönks, Creating a Self-authentication System for Smart Banknotes, in: ODS 2020 Review, San Francisco, USA., 2020.' ieee: M. Funk et al., “Creating a Self-authentication System for Smart Banknotes,” San Francisco, 2020. mla: Funk, Mark, et al. “Creating a Self-Authentication System for Smart Banknotes.” ODS 2020 Review, 2020. short: 'M. Funk, M. Scharf, H. Dörksen, H.-J. Danneel, V. Lohweg, M. Hübner, J. Schaede, R. Stierman, A. Knobloch, D.K. Le, E. Gillich, U. Mönks, in: ODS 2020 Review, San Francisco, USA., 2020.' ufg: 'Funk, Mark u. a.: Creating a Self-authentication System for Smart Banknotes, in: o. Hg.: ODS 2020 Review, San Francisco, USA. 2020.' van: 'Funk M, Scharf M, Dörksen H, Danneel HJ, Lohweg V, Hübner M, et al. Creating a Self-authentication System for Smart Banknotes. In: ODS 2020 Review. San Francisco, USA.; 2020.' conference: end_date: 2020-01-31 location: San Francisco start_date: 2020-01-29 date_created: 2019-11-22T12:51:11Z date_updated: 2024-05-17T13:23:21Z department: - _id: DEP5023 - _id: DEP4027 language: - iso: eng main_file_link: - url: https://opticaldigitalsecurity.com/downloads place: San Francisco, USA. publication: ODS 2020 Review publication_status: published status: public title: Creating a Self-authentication System for Smart Banknotes type: conference user_id: '83781' year: '2020' ... --- _id: '1992' author: - first_name: Philip full_name: Meier, Philip id: '58460' last_name: Meier - 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: Johannes full_name: Schaede, Johannes id: '2128' last_name: Schaede citation: ama: 'Meier P, Lohweg V, Dörksen H, Schaede J. Intaglio Style Transfer – Partially Automating the Intaglio Image Creation. In: Optical Document Security (ODS). San Francisco, California; 2020.' apa: Meier, P., Lohweg, V., Dörksen, H., & Schaede, J. (2020). Intaglio Style Transfer – Partially Automating the Intaglio Image Creation. In Optical Document Security (ODS). San Francisco, California. bjps: Meier P et al. (2020) Intaglio Style Transfer – Partially Automating the Intaglio Image Creation. Optical Document Security (ODS). San Francisco, California. chicago: Meier, Philip, Volker Lohweg, Helene Dörksen, and Johannes Schaede. “Intaglio Style Transfer – Partially Automating the Intaglio Image Creation.” In Optical Document Security (ODS). San Francisco, California, 2020. chicago-de: 'Meier, Philip, Volker Lohweg, Helene Dörksen und Johannes Schaede. 2020. Intaglio Style Transfer – Partially Automating the Intaglio Image Creation. In: Optical Document Security (ODS). San Francisco, California.' din1505-2-1: 'Meier, Philip ; Lohweg, Volker ; Dörksen, Helene ; Schaede, Johannes: Intaglio Style Transfer – Partially Automating the Intaglio Image Creation. In: Optical Document Security (ODS). San Francisco, California, 2020' havard: 'P. Meier, V. Lohweg, H. Dörksen, J. Schaede, Intaglio Style Transfer – Partially Automating the Intaglio Image Creation, in: Optical Document Security (ODS), San Francisco, California, 2020.' ieee: P. Meier, V. Lohweg, H. Dörksen, and J. Schaede, “Intaglio Style Transfer – Partially Automating the Intaglio Image Creation,” in Optical Document Security (ODS), 2020. mla: Meier, Philip, et al. “Intaglio Style Transfer – Partially Automating the Intaglio Image Creation.” Optical Document Security (ODS), 2020. short: 'P. Meier, V. Lohweg, H. Dörksen, J. Schaede, in: Optical Document Security (ODS), San Francisco, California, 2020.' ufg: 'Meier, Philip et. al. (2020): Intaglio Style Transfer – Partially Automating the Intaglio Image Creation, in: Optical Document Security (ODS), San Francisco, California.' van: 'Meier P, Lohweg V, Dörksen H, Schaede J. Intaglio Style Transfer – Partially Automating the Intaglio Image Creation. In: Optical Document Security (ODS). San Francisco, California; 2020.' date_created: 2019-11-22T12:51:12Z date_updated: 2023-03-15T13:49:38Z department: - _id: DEP5023 language: - iso: eng place: San Francisco, California publication: Optical Document Security (ODS) status: public title: Intaglio Style Transfer – Partially Automating the Intaglio Image Creation type: conference user_id: '68554' year: 2020 ... --- _id: '1996' abstract: - lang: eng text: Intelligent technical systems need to become more flexible and adaptive in the context of Cyber-Physical-Systems and Industry 4.0. Cash supply is very important for the worldwide economy. Within the supply chain, handling processes are highly automated, e.g., automated teller machines are installed to ensure an efficient and reliable cash supply. Recently, there is a trend in automated cash handling systems to replace the cash cassettes for each denomination by a simple pitch-in-plastic-bag for all banknotes. This necessitates new automated handling approaches because the bag content will unload irregularly. We propose a new approach which is able to detect the pose and possible occlusions of randomly distributed textured banknotes with simple smartphone cameras. This information can be used to control a handling robot-picking out banknotes. author: - first_name: Eugen full_name: Gillich, Eugen id: '1706' last_name: Gillich - first_name: Alexander full_name: Fritze, Alexander last_name: Fritze - first_name: Kai-Fabian full_name: Henning, Kai-Fabian id: '44017' last_name: Henning - first_name: Anton full_name: Pfeifer, Anton id: '52097' last_name: Pfeifer - 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: 'Gillich E, Fritze A, Henning K-F, Pfeifer A, Dörksen H, Lohweg V. Camera-based Occlusion Detection for Banknote Sorting. In: 5th IEEE International Forum on Research and Technologies for Society and Industry. Firenze, Italy; 2019.' apa: Gillich, E., Fritze, A., Henning, K.-F., Pfeifer, A., Dörksen, H., & Lohweg, V. (2019). Camera-based Occlusion Detection for Banknote Sorting. In 5th IEEE International Forum on Research and Technologies for Society and Industry. Firenze, Italy. bjps: Gillich E et al. (2019) Camera-Based Occlusion Detection for Banknote Sorting. 5th IEEE International Forum on Research and Technologies for Society and Industry. Firenze, Italy. chicago: Gillich, Eugen, Alexander Fritze, Kai-Fabian Henning, Anton Pfeifer, Helene Dörksen, and Volker Lohweg. “Camera-Based Occlusion Detection for Banknote Sorting.” In 5th IEEE International Forum on Research and Technologies for Society and Industry. Firenze, Italy, 2019. chicago-de: 'Gillich, Eugen, Alexander Fritze, Kai-Fabian Henning, Anton Pfeifer, Helene Dörksen und Volker Lohweg. 2019. Camera-based Occlusion Detection for Banknote Sorting. In: 5th IEEE International Forum on Research and Technologies for Society and Industry. Firenze, Italy.' din1505-2-1: 'Gillich, Eugen ; Fritze, Alexander ; Henning, Kai-Fabian ; Pfeifer, Anton ; Dörksen, Helene ; Lohweg, Volker: Camera-based Occlusion Detection for Banknote Sorting. In: 5th IEEE International Forum on Research and Technologies for Society and Industry. Firenze, Italy, 2019' havard: 'E. Gillich, A. Fritze, K.-F. Henning, A. Pfeifer, H. Dörksen, V. Lohweg, Camera-based Occlusion Detection for Banknote Sorting, in: 5th IEEE International Forum on Research and Technologies for Society and Industry, Firenze, Italy, 2019.' ieee: E. Gillich, A. Fritze, K.-F. Henning, A. Pfeifer, H. Dörksen, and V. Lohweg, “Camera-based Occlusion Detection for Banknote Sorting,” in 5th IEEE International Forum on Research and Technologies for Society and Industry, 2019. mla: Gillich, Eugen, et al. “Camera-Based Occlusion Detection for Banknote Sorting.” 5th IEEE International Forum on Research and Technologies for Society and Industry, 2019. short: 'E. Gillich, A. Fritze, K.-F. Henning, A. Pfeifer, H. Dörksen, V. Lohweg, in: 5th IEEE International Forum on Research and Technologies for Society and Industry, Firenze, Italy, 2019.' ufg: 'Gillich, Eugen et. al. (2019): Camera-based Occlusion Detection for Banknote Sorting, in: 5th IEEE International Forum on Research and Technologies for Society and Industry, Firenze, Italy.' van: 'Gillich E, Fritze A, Henning K-F, Pfeifer A, Dörksen H, Lohweg V. Camera-based Occlusion Detection for Banknote Sorting. In: 5th IEEE International Forum on Research and Technologies for Society and Industry. Firenze, Italy; 2019.' date_created: 2019-11-22T12:51:17Z date_updated: 2023-03-15T13:49:38Z department: - _id: DEP5023 language: - iso: eng place: Firenze, Italy publication: 5th IEEE International Forum on Research and Technologies for Society and Industry status: public title: Camera-based Occlusion Detection for Banknote Sorting type: conference user_id: '74004' year: 2019 ... --- _id: '2000' author: - first_name: Anton full_name: Pfeifer, Anton id: '52097' last_name: Pfeifer - 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: 'Pfeifer A, Dörksen H, Lohweg V. Effective Protection of Physical Documents by Print Coding as Digital Tag and Authentication Methods. In: Digital Document Security. Berlin; 2019.' apa: Pfeifer, A., Dörksen, H., & Lohweg, V. (2019). Effective Protection of Physical Documents by Print Coding as Digital Tag and Authentication Methods. In Digital Document Security. Berlin. bjps: Pfeifer A, Dörksen H and Lohweg V (2019) Effective Protection of Physical Documents by Print Coding as Digital Tag and Authentication Methods. Digital Document Security. Berlin. chicago: Pfeifer, Anton, Helene Dörksen, and Volker Lohweg. “Effective Protection of Physical Documents by Print Coding as Digital Tag and Authentication Methods.” In Digital Document Security. Berlin, 2019. chicago-de: 'Pfeifer, Anton, Helene Dörksen und Volker Lohweg. 2019. Effective Protection of Physical Documents by Print Coding as Digital Tag and Authentication Methods. In: Digital Document Security. Berlin.' din1505-2-1: 'Pfeifer, Anton ; Dörksen, Helene ; Lohweg, Volker: Effective Protection of Physical Documents by Print Coding as Digital Tag and Authentication Methods. In: Digital Document Security. Berlin, 2019' havard: 'A. Pfeifer, H. Dörksen, V. Lohweg, Effective Protection of Physical Documents by Print Coding as Digital Tag and Authentication Methods, in: Digital Document Security, Berlin, 2019.' ieee: A. Pfeifer, H. Dörksen, and V. Lohweg, “Effective Protection of Physical Documents by Print Coding as Digital Tag and Authentication Methods,” in Digital Document Security, 2019. mla: Pfeifer, Anton, et al. “Effective Protection of Physical Documents by Print Coding as Digital Tag and Authentication Methods.” Digital Document Security, 2019. short: 'A. Pfeifer, H. Dörksen, V. Lohweg, in: Digital Document Security, Berlin, 2019.' ufg: 'Pfeifer, Anton et. al. (2019): Effective Protection of Physical Documents by Print Coding as Digital Tag and Authentication Methods, in: Digital Document Security, Berlin.' van: 'Pfeifer A, Dörksen H, Lohweg V. Effective Protection of Physical Documents by Print Coding as Digital Tag and Authentication Methods. In: Digital Document Security. Berlin; 2019.' date_created: 2019-11-22T12:51:23Z date_updated: 2023-03-15T13:49:38Z department: - _id: DEP5023 language: - iso: eng place: Berlin publication: Digital Document Security status: public title: Effective Protection of Physical Documents by Print Coding as Digital Tag and Authentication Methods type: conference user_id: '68554' year: 2019 ... --- _id: '2005' abstract: - lang: eng text: We present a method for the fast and robust linear classification of badly conditioned data. In our considerations, badly conditioned data are such data which are numerically difficult to handle. Due to, e.g. a large number of features or a large number of objects representing classes as well as noise, outliers or incompleteness, the common software computation of the discriminating linear combination of features between classes fails or is extremely time consuming. The theoretical foundations of our approach are based on the single feature ranking, which allows fast calculation of the approximative initial classification boundary. For the increasing of classification accuracy of this boundary, the refinement is performed in the lower dimensional space. Our approach is tested on several datasets from UCI Reposi-tiory. Experimental results indicate high classification accuracy of the approach. For the modern real industrial applications such a method is especially suitable in the Cyber-Physical-System environments and provides a part of the workflow for the automated classifier design 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. Linear Classification of Badly Conditioned Data. . In: 23rd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Torino, Italy; 2018. doi:10.1109/ETFA.2018.8502485' apa: Dörksen, H., & Lohweg, V. (2018). Linear Classification of Badly Conditioned Data. . In 23rd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Torino, Italy. https://doi.org/10.1109/ETFA.2018.8502485 bjps: Dörksen H and Lohweg V (2018) Linear Classification of Badly Conditioned Data. . 23rd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Torino, Italy. chicago: Dörksen, Helene, and Volker Lohweg. “Linear Classification of Badly Conditioned Data. .” In 23rd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Torino, Italy, 2018. https://doi.org/10.1109/ETFA.2018.8502485. chicago-de: 'Dörksen, Helene und Volker Lohweg. 2018. Linear Classification of Badly Conditioned Data. . In: 23rd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Torino, Italy. doi:10.1109/ETFA.2018.8502485, .' din1505-2-1: 'Dörksen, Helene ; Lohweg, Volker: Linear Classification of Badly Conditioned Data. . In: 23rd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Torino, Italy, 2018' havard: 'H. Dörksen, V. Lohweg, Linear Classification of Badly Conditioned Data. , in: 23rd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Torino, Italy, 2018.' ieee: H. Dörksen and V. Lohweg, “Linear Classification of Badly Conditioned Data. ,” in 23rd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Turin, Italy , 2018. mla: Dörksen, Helene, and Volker Lohweg. “Linear Classification of Badly Conditioned Data. .” 23rd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 2018, doi:10.1109/ETFA.2018.8502485. short: 'H. Dörksen, V. Lohweg, in: 23rd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Torino, Italy, 2018.' ufg: 'Dörksen, Helene/Lohweg, Volker (2018): Linear Classification of Badly Conditioned Data. , in: 23rd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Torino, Italy.' van: 'Dörksen H, Lohweg V. Linear Classification of Badly Conditioned Data. . In: 23rd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Torino, Italy; 2018.' conference: end_date: 2018-09-07 location: ' Turin, Italy ' name: ' IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA) 2018' start_date: 2018-09-04 date_created: 2019-11-25T08:35:44Z date_updated: 2023-03-15T13:49:38Z department: - _id: DEP5023 doi: 10.1109/ETFA.2018.8502485 keyword: - Task analysis - Software - Linear discriminant analysis - Dimensionality reduction - Mathematical model - Covariance matrices - Measurement language: - iso: eng main_file_link: - open_access: '1' url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8502485 oa: '1' place: Torino, Italy publication: 23rd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) status: public title: 'Linear Classification of Badly Conditioned Data. ' type: conference user_id: '15514' year: 2018 ... --- _id: '2008' abstract: - lang: eng text: "We concentrate our research activities on the multivariate feature selection, which is one important part of many machine learning tasks. In partucular, Linear Discriminant Analysis [1] belongs to the state-of-the-art methods for the multivariate analysis. From the theoretical point of view, it is the well-known fact that LDA is best suitable in the case the features are Gaussian distributed.\r\nIn the theoretical part of the presented paper, we analyse the properties of the multivariate discriminant analysis with respect to the feature selection. In this context, we consider a binary supervised learning task and assume that the features are Gaussian distributed. The discriminant analysis solves the mentioned supervised learning task by maximising of the discriminant value, calculated for the linear combination of the features.\r\nThe initial LDA solution a 2 Rd is considered for all given features from the feature space X \x1A Rd. The corresponding discriminant is calculated by the formula:\r\nd(a; x1, . . . , xd) := (μ+ − μ−)2\r\n\e2+\r\n+ \e2−\r\n,\r\nwhere μ+/− are projected class means and \e2 +/− are projected class variances (with respect to a). We proof several propositions with the aim to find subsets of the features having higher discriminant value as original d(a; x1, . . . , xd). For the suitability in the real world settings, here we are interested in fast searching for such subsets.\r\nThe performance of the mentioned propositions is examined experimentally on datasets from UCI repository [2]. Several application scenarien will be discussed and tested on the datasets. In addition, tests show that the performance can be achieved also in the case the features are not Gaussian distributed." 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. Multivariate Gaussian Feature Selection. . In: European Conference on Data Analysis (ECDA2018). Paderborn, Germany; 2018.' apa: Dörksen, H., & Lohweg, V. (2018). Multivariate Gaussian Feature Selection. . In European Conference on Data Analysis (ECDA2018). Paderborn, Germany. bjps: Dörksen H and Lohweg V (2018) Multivariate Gaussian Feature Selection. . European Conference on Data Analysis (ECDA2018). Paderborn, Germany. chicago: Dörksen, Helene, and Volker Lohweg. “Multivariate Gaussian Feature Selection. .” In European Conference on Data Analysis (ECDA2018). Paderborn, Germany, 2018. chicago-de: 'Dörksen, Helene und Volker Lohweg. 2018. Multivariate Gaussian Feature Selection. . In: European Conference on Data Analysis (ECDA2018). Paderborn, Germany.' din1505-2-1: 'Dörksen, Helene ; Lohweg, Volker: Multivariate Gaussian Feature Selection. . In: European Conference on Data Analysis (ECDA2018). Paderborn, Germany, 2018' havard: 'H. Dörksen, V. Lohweg, Multivariate Gaussian Feature Selection. , in: European Conference on Data Analysis (ECDA2018), Paderborn, Germany, 2018.' ieee: H. Dörksen and V. Lohweg, “Multivariate Gaussian Feature Selection. ,” in European Conference on Data Analysis (ECDA2018), Paderborn, 2018. mla: Dörksen, Helene, and Volker Lohweg. “Multivariate Gaussian Feature Selection. .” European Conference on Data Analysis (ECDA2018), 2018. short: 'H. Dörksen, V. Lohweg, in: European Conference on Data Analysis (ECDA2018), Paderborn, Germany, 2018.' ufg: 'Dörksen, Helene/Lohweg, Volker (2018): Multivariate Gaussian Feature Selection. , in: European Conference on Data Analysis (ECDA2018), Paderborn, Germany.' van: 'Dörksen H, Lohweg V. Multivariate Gaussian Feature Selection. . In: European Conference on Data Analysis (ECDA2018). Paderborn, Germany; 2018.' conference: end_date: 2018-07-06 location: Paderborn name: European Conference on Data Analysis start_date: 2018-07-04 date_created: 2019-11-25T08:35:48Z date_updated: 2023-03-15T13:49:38Z department: - _id: DEP5023 keyword: - multivariate feature selection - Gaussian distribution - linear discriminant analysis language: - iso: eng place: Paderborn, Germany publication: European Conference on Data Analysis (ECDA2018) status: public title: 'Multivariate Gaussian Feature Selection. ' type: conference user_id: '15514' year: 2018 ... --- _id: '2011' author: - first_name: Volker full_name: Lohweg, Volker id: '1804' last_name: Lohweg orcid: 0000-0002-3325-7887 - first_name: Mark full_name: Funk, Mark id: '52473' last_name: Funk - first_name: Matthias full_name: Scharf, Matthias id: '65179' last_name: Scharf - first_name: Helene full_name: Dörksen, Helene id: '46416' last_name: Dörksen - first_name: Hans-Jürgen full_name: Danneel, Hans-Jürgen id: '12231' last_name: Danneel - first_name: Michael full_name: Hübner, Michael last_name: Hübner - first_name: Johannes full_name: Schaede, Johannes id: '2128' last_name: Schaede - first_name: Emmanuel full_name: Thony, Emmanuel last_name: Thony - first_name: Alexander full_name: Knobloch, Alexander last_name: Knobloch - first_name: Dinh Khoi full_name: Lee, Dinh Khoi last_name: Lee - first_name: Uwe full_name: Mönks, Uwe id: '1825' last_name: Mönks - first_name: Eugen full_name: Gillich, Eugen id: '1706' last_name: Gillich citation: ama: 'Lohweg V, Funk M, Scharf M, et al. smartBN—Intelligent Protection and Authentication in Payment Transactions by Smart Banknotes. In: Optical Document Security - The Conference on Optical Security and Counterfeit Detection XII San Francisco.' apa: Lohweg, V., Funk, M., Scharf, M., Dörksen, H., Danneel, H.-J., Hübner, M., Schaede, J., Thony, E., Knobloch, A., Lee, D. K., Mönks, U., & Gillich, E. (n.d.). smartBN—Intelligent Protection and Authentication in Payment Transactions by Smart Banknotes. Optical Document Security - The Conference on Optical Security and Counterfeit Detection XII San Francisco. XII. Optical Document Security (ODS)Conference, San Francisco, USA. bjps: Lohweg V et al. (n.d.) SmartBN—Intelligent Protection and Authentication in Payment Transactions by Smart Banknotes. Optical Document Security - The Conference on Optical Security and Counterfeit Detection XII San Francisco. CA, USA. chicago: Lohweg, Volker, Mark Funk, Matthias Scharf, Helene Dörksen, Hans-Jürgen Danneel, Michael Hübner, Johannes Schaede, et al. “SmartBN—Intelligent Protection and Authentication in Payment Transactions by Smart Banknotes.” In Optical Document Security - The Conference on Optical Security and Counterfeit Detection XII San Francisco. CA, USA, n.d. chicago-de: 'Lohweg, Volker, Mark Funk, Matthias Scharf, Helene Dörksen, Hans-Jürgen Danneel, Michael Hübner, Johannes Schaede, u. a. smartBN—Intelligent Protection and Authentication in Payment Transactions by Smart Banknotes. In: Optical Document Security - The Conference on Optical Security and Counterfeit Detection XII San Francisco. CA, USA.' din1505-2-1: 'Lohweg, Volker ; Funk, Mark ; Scharf, Matthias ; Dörksen, Helene ; Danneel, Hans-Jürgen ; Hübner, Michael ; Schaede, Johannes ; Thony, Emmanuel ; u. a.: smartBN—Intelligent Protection and Authentication in Payment Transactions by Smart Banknotes. In: Optical Document Security - The Conference on Optical Security and Counterfeit Detection XII San Francisco. CA, USA' havard: 'V. Lohweg, M. Funk, M. Scharf, H. Dörksen, H.-J. Danneel, M. Hübner, J. Schaede, E. Thony, A. Knobloch, D.K. Lee, U. Mönks, E. Gillich, smartBN—Intelligent Protection and Authentication in Payment Transactions by Smart Banknotes, in: Optical Document Security - The Conference on Optical Security and Counterfeit Detection XII San Francisco, CA, USA, n.d.' ieee: V. Lohweg et al., “smartBN—Intelligent Protection and Authentication in Payment Transactions by Smart Banknotes,” presented at the XII. Optical Document Security (ODS)Conference, San Francisco, USA. mla: Lohweg, Volker, et al. “SmartBN—Intelligent Protection and Authentication in Payment Transactions by Smart Banknotes.” Optical Document Security - The Conference on Optical Security and Counterfeit Detection XII San Francisco. short: 'V. Lohweg, M. Funk, M. Scharf, H. Dörksen, H.-J. Danneel, M. Hübner, J. Schaede, E. Thony, A. Knobloch, D.K. Lee, U. Mönks, E. Gillich, in: Optical Document Security - The Conference on Optical Security and Counterfeit Detection XII San Francisco, CA, USA, n.d.' ufg: 'Lohweg, Volker u. a.: smartBN—Intelligent Protection and Authentication in Payment Transactions by Smart Banknotes, in: o. Hg.: Optical Document Security - The Conference on Optical Security and Counterfeit Detection XII San Francisco, CA, USA o. J.' van: 'Lohweg V, Funk M, Scharf M, Dörksen H, Danneel HJ, Hübner M, et al. smartBN—Intelligent Protection and Authentication in Payment Transactions by Smart Banknotes. In: Optical Document Security - The Conference on Optical Security and Counterfeit Detection XII San Francisco. CA, USA;' conference: end_date: 2018-01-31 location: San Francisco, USA name: XII. Optical Document Security (ODS)Conference start_date: 2018-01-29 date_created: 2019-11-25T08:35:52Z date_updated: 2024-05-17T13:04:57Z department: - _id: DEP5023 - _id: DEP4027 language: - iso: eng place: ' CA, USA' publication: Optical Document Security - The Conference on Optical Security and Counterfeit Detection XII San Francisco publication_status: submitted status: public title: smartBN—Intelligent Protection and Authentication in Payment Transactions by Smart Banknotes type: conference user_id: '83781' year: '2018' ... --- _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: '2019' 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 Linear Discriminant Analysis. In: 4th European Conference on Data Analysis 2017 (ECDA 2017) . (Submitted to Journal Archives of Data Sciences) Wrocław, Poland; 2017.' apa: Dörksen, H., & Lohweg, V. (2017). Margin-based Refinement for Linear Discriminant Analysis. In 4th European Conference on Data Analysis 2017 (ECDA 2017) . (Submitted to Journal Archives of Data Sciences) Wrocław, Poland. bjps: Dörksen H and Lohweg V (2017) Margin-Based Refinement for Linear Discriminant Analysis. 4th European Conference on Data Analysis 2017 (ECDA 2017) . (Submitted to Journal Archives of Data Sciences) Wrocław, Poland. chicago: Dörksen, Helene, and Volker Lohweg. “Margin-Based Refinement for Linear Discriminant Analysis.” In 4th European Conference on Data Analysis 2017 (ECDA 2017) . (Submitted to Journal Archives of Data Sciences) Wrocław, Poland, 2017. chicago-de: 'Dörksen, Helene und Volker Lohweg. 2017. Margin-based Refinement for Linear Discriminant Analysis. In: 4th European Conference on Data Analysis 2017 (ECDA 2017) . (Submitted to Journal Archives of Data Sciences) Wrocław, Poland.' din1505-2-1: 'Dörksen, Helene ; Lohweg, Volker: Margin-based Refinement for Linear Discriminant Analysis. In: 4th European Conference on Data Analysis 2017 (ECDA 2017) . (Submitted to Journal Archives of Data Sciences) Wrocław, Poland, 2017' havard: 'H. Dörksen, V. Lohweg, Margin-based Refinement for Linear Discriminant Analysis, in: 4th European Conference on Data Analysis 2017 (ECDA 2017) , (Submitted to Journal Archives of Data Sciences) Wrocław, Poland, 2017.' ieee: H. Dörksen and V. Lohweg, “Margin-based Refinement for Linear Discriminant Analysis,” in 4th European Conference on Data Analysis 2017 (ECDA 2017) , Wroclaw, Poland, 2017. mla: Dörksen, Helene, and Volker Lohweg. “Margin-Based Refinement for Linear Discriminant Analysis.” 4th European Conference on Data Analysis 2017 (ECDA 2017) , 2017. short: 'H. Dörksen, V. Lohweg, in: 4th European Conference on Data Analysis 2017 (ECDA 2017) , (Submitted to Journal Archives of Data Sciences) Wrocław, Poland, 2017.' ufg: 'Dörksen, Helene/Lohweg, Volker (2017): Margin-based Refinement for Linear Discriminant Analysis, in: 4th European Conference on Data Analysis 2017 (ECDA 2017) , (Submitted to Journal Archives of Data Sciences) Wrocław, Poland.' van: 'Dörksen H, Lohweg V. Margin-based Refinement for Linear Discriminant Analysis. In: 4th European Conference on Data Analysis 2017 (ECDA 2017) . (Submitted to Journal Archives of Data Sciences) Wrocław, Poland; 2017.' conference: end_date: 20197-09-29 location: Wroclaw, Poland name: 4th European Conference on Data Analysis (ECDA 2017) start_date: 2017-09-27 date_created: 2019-11-25T09:06:46Z date_updated: 2023-03-15T13:49:38Z department: - _id: DEP5023 language: - iso: eng main_file_link: - open_access: '1' url: https://www.researchgate.net/profile/Helene_Doerksen/publication/320352781_Margin-based_Refinement_for_Linear_Discriminant_Analysis_4th_European_Conference_on_Data_Analysis_ECDA_2017_Wroclaw_Poland_27-29_September_2017/links/59df674c45851593bea66c24/Margin-based-Refinement-for-Linear-Discriminant-Analysis-4th-European-Conference-on-Data-Analysis-ECDA-2017-Wroclaw-Poland-27-29-September-2017 oa: '1' place: (Submitted to Journal Archives of Data Sciences) Wrocław, Poland publication: '4th European Conference on Data Analysis 2017 (ECDA 2017) ' publication_status: published status: public title: Margin-based Refinement for Linear Discriminant Analysis type: conference_abstract user_id: '68554' year: 2017 ... --- _id: '2040' abstract: - lang: eng text: 'Banknote authentication plays a fundamental role in banknote circulation. Banknotes undergo some major changes in thenext years because electronic payment systems will get more common which will change the user behaviour. Furthermore,technologies of counterfeiters will improve progressively and continuously. We propose a two-sage procedure for theeffective development for the design of simple electronics for cash handliung systems: First, we establish a high qualityimage acquisition system which allows for a consistent image capture quality and is able to handle complex softwarealgorithms for banknote authentication. Second, we take the algorithms and port them on cost-efficient hardware. It isshown in this paper that a reliable authentication of almost each banknote is possible for to specialised low-cost systemssuch as point-of-sale cash units.' author: - first_name: Eugen full_name: Gillich, Eugen id: '1706' last_name: Gillich - first_name: Jan Leif full_name: Hoffmann, Jan Leif id: '46243' last_name: Hoffmann - 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 - first_name: Johannes full_name: Schaede, Johannes id: '2128' last_name: Schaede citation: ama: 'Gillich E, Hoffmann JL, Dörksen H, Lohweg V, Schaede J. Data Collection Unit – A Platform for Printing Process Authentication. In: Optical Document Security - The Conference on Optical Security and Counterfeit Detection V. San Francisco, CA, USA ; 2016.' apa: Gillich, E., Hoffmann, J. L., Dörksen, H., Lohweg, V., & Schaede, J. (2016). Data Collection Unit – A Platform for Printing Process Authentication. In Optical Document Security - The Conference on Optical Security and Counterfeit Detection V. San Francisco, CA, USA . bjps: Gillich E et al. (2016) Data Collection Unit – A Platform for Printing Process Authentication. Optical Document Security - The Conference on Optical Security and Counterfeit Detection V. San Francisco, CA, USA . chicago: Gillich, Eugen, Jan Leif Hoffmann, Helene Dörksen, Volker Lohweg, and Johannes Schaede. “Data Collection Unit – A Platform for Printing Process Authentication.” In Optical Document Security - The Conference on Optical Security and Counterfeit Detection V. San Francisco, CA, USA , 2016. chicago-de: 'Gillich, Eugen, Jan Leif Hoffmann, Helene Dörksen, Volker Lohweg und Johannes Schaede. 2016. Data Collection Unit – A Platform for Printing Process Authentication. In: Optical Document Security - The Conference on Optical Security and Counterfeit Detection V. San Francisco, CA, USA .' din1505-2-1: 'Gillich, Eugen ; Hoffmann, Jan Leif ; Dörksen, Helene ; Lohweg, Volker ; Schaede, Johannes: Data Collection Unit – A Platform for Printing Process Authentication. In: Optical Document Security - The Conference on Optical Security and Counterfeit Detection V. San Francisco, CA, USA , 2016' havard: 'E. Gillich, J.L. Hoffmann, H. Dörksen, V. Lohweg, J. Schaede, Data Collection Unit – A Platform for Printing Process Authentication, in: Optical Document Security - The Conference on Optical Security and Counterfeit Detection V, San Francisco, CA, USA , 2016.' ieee: E. Gillich, J. L. Hoffmann, H. Dörksen, V. Lohweg, and J. Schaede, “Data Collection Unit – A Platform for Printing Process Authentication,” in Optical Document Security - The Conference on Optical Security and Counterfeit Detection V, 2016. mla: Gillich, Eugen, et al. “Data Collection Unit – A Platform for Printing Process Authentication.” Optical Document Security - The Conference on Optical Security and Counterfeit Detection V, 2016. short: 'E. Gillich, J.L. Hoffmann, H. Dörksen, V. Lohweg, J. Schaede, in: Optical Document Security - The Conference on Optical Security and Counterfeit Detection V, San Francisco, CA, USA , 2016.' ufg: 'Gillich, Eugen et. al. (2016): Data Collection Unit – A Platform for Printing Process Authentication, in: Optical Document Security - The Conference on Optical Security and Counterfeit Detection V, San Francisco, CA, USA .' van: 'Gillich E, Hoffmann JL, Dörksen H, Lohweg V, Schaede J. Data Collection Unit – A Platform for Printing Process Authentication. In: Optical Document Security - The Conference on Optical Security and Counterfeit Detection V. San Francisco, CA, USA ; 2016.' date_created: 2019-11-26T14:43:20Z date_updated: 2023-03-15T13:49:38Z department: - _id: DEP5023 language: - iso: eng place: 'San Francisco, CA, USA ' publication: Optical Document Security - The Conference on Optical Security and Counterfeit Detection V status: public title: Data Collection Unit – A Platform for Printing Process Authentication type: conference user_id: '74004' year: 2016 ... --- _id: '2044' abstract: - lang: eng text: Sensors, and also actuators or external sources such as databases, serve as data sources in order to realise condition monitoring of industrial applications or the acquisition of characteristic parameters like production speed or reject rate. Modern facilities create such a large amount of complex data that a machine operator is unable to comprehend and process the information contained in the data. Thus, information fusion mechanisms gain increasing importance. Besides the management of large amounts of data, further challenges towards the fusion algorithms arise from epistemic uncertainties (incomplete knowledge) in the input signals as well as conflicts between them. These aspects must be considered during information processing to obtain reliable results, which are in accordance with the real world. The analysis of the scientific state of the art shows that current solutions fulfil said requirements at most only partly. This article proposes the multilayered information fusion system MACRO (multilayer attribute-based conflict-reducing observation) employing the μBalTLCS (fuzzified balanced two-layer conflict solving) fusion algorithm to reduce the impact of conflicts on the fusion result. The performance of the contribution is shown by its evaluation in the scope of a machine condition monitoring application under laboratory conditions. Here, the MACRO system yields the best results compared to state-of-the-art fusion mechanisms. The utilised data is published and freely accessible. article_number: '1798' author: - first_name: Uwe full_name: Mönks, Uwe id: '1825' last_name: Mönks - 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 - first_name: Michael full_name: Hübner, Michael last_name: Hübner citation: ama: Mönks U, Dörksen H, Lohweg V, Hübner M. Information Fusion of Conflicting Input Data. Sensors. 2016. doi:10.3390/s16111798 apa: Mönks, U., Dörksen, H., Lohweg, V., & Hübner, M. (2016). Information Fusion of Conflicting Input Data. Sensors. https://doi.org/10.3390/s16111798 bjps: Mönks U et al. (2016) Information Fusion of Conflicting Input Data. Sensors. chicago: Mönks, Uwe, Helene Dörksen, Volker Lohweg, and Michael Hübner. “Information Fusion of Conflicting Input Data.” Sensors, 2016. https://doi.org/10.3390/s16111798. chicago-de: Mönks, Uwe, Helene Dörksen, Volker Lohweg und Michael Hübner. 2016. Information Fusion of Conflicting Input Data. Sensors. doi:10.3390/s16111798, . din1505-2-1: 'Mönks, Uwe ; Dörksen, Helene ; Lohweg, Volker ; Hübner, Michael: Information Fusion of Conflicting Input Data. In: Sensors (2016)' havard: U. Mönks, H. Dörksen, V. Lohweg, M. Hübner, Information Fusion of Conflicting Input Data, Sensors. (2016). ieee: U. Mönks, H. Dörksen, V. Lohweg, and M. Hübner, “Information Fusion of Conflicting Input Data,” Sensors, 2016. mla: Mönks, Uwe, et al. “Information Fusion of Conflicting Input Data.” Sensors, 1798, 2016, doi:10.3390/s16111798. short: U. Mönks, H. Dörksen, V. Lohweg, M. Hübner, Sensors (2016). ufg: 'Mönks, Uwe et. al. (2016): Information Fusion of Conflicting Input Data, in: Sensors.' van: Mönks U, Dörksen H, Lohweg V, Hübner M. Information Fusion of Conflicting Input Data. Sensors. 2016; date_created: 2019-11-26T15:03:36Z date_updated: 2023-03-15T13:49:38Z department: - _id: DEP5023 doi: 10.3390/s16111798 language: - iso: eng main_file_link: - open_access: '1' url: https://www.mdpi.com/1424-8220/16/11/1798 oa: '1' publication: Sensors publication_identifier: issn: - 1424-8220 publication_status: published status: public title: Information Fusion of Conflicting Input Data type: journal_article user_id: '68554' year: 2016 ... --- _id: '2125' author: - first_name: Sahar full_name: Deppe, Sahar id: '52121' last_name: Deppe - 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: 'Deppe S, Dörksen H, Lohweg V. Multi-Scale Motif Discovery in Image Processing. In: Workshop on Probabilistic Graphical Models. Heidelberg, Germany; 2015.' apa: Deppe, S., Dörksen, H., & Lohweg, V. (2015). Multi-Scale Motif Discovery in Image Processing. In Workshop on Probabilistic Graphical Models. Heidelberg, Germany. bjps: Deppe S, Dörksen H and Lohweg V (2015) Multi-Scale Motif Discovery in Image Processing. Workshop on Probabilistic Graphical Models. Heidelberg, Germany. chicago: Deppe, Sahar, Helene Dörksen, and Volker Lohweg. “Multi-Scale Motif Discovery in Image Processing.” In Workshop on Probabilistic Graphical Models. Heidelberg, Germany, 2015. chicago-de: 'Deppe, Sahar, Helene Dörksen und Volker Lohweg. 2015. Multi-Scale Motif Discovery in Image Processing. In: Workshop on Probabilistic Graphical Models. Heidelberg, Germany.' din1505-2-1: 'Deppe, Sahar ; Dörksen, Helene ; Lohweg, Volker: Multi-Scale Motif Discovery in Image Processing. In: Workshop on Probabilistic Graphical Models. Heidelberg, Germany, 2015' havard: 'S. Deppe, H. Dörksen, V. Lohweg, Multi-Scale Motif Discovery in Image Processing, in: Workshop on Probabilistic Graphical Models, Heidelberg, Germany, 2015.' ieee: S. Deppe, H. Dörksen, and V. Lohweg, “Multi-Scale Motif Discovery in Image Processing,” in Workshop on Probabilistic Graphical Models, 2015. mla: Deppe, Sahar, et al. “Multi-Scale Motif Discovery in Image Processing.” Workshop on Probabilistic Graphical Models, 2015. short: 'S. Deppe, H. Dörksen, V. Lohweg, in: Workshop on Probabilistic Graphical Models, Heidelberg, Germany, 2015.' ufg: 'Deppe, Sahar et. al. (2015): Multi-Scale Motif Discovery in Image Processing, in: Workshop on Probabilistic Graphical Models, Heidelberg, Germany.' van: 'Deppe S, Dörksen H, Lohweg V. Multi-Scale Motif Discovery in Image Processing. In: Workshop on Probabilistic Graphical Models. Heidelberg, Germany; 2015.' date_created: 2019-12-03T14:02:21Z date_updated: 2023-03-15T13:49:38Z department: - _id: DEP5023 language: - iso: eng main_file_link: - open_access: '1' url: https://www.researchgate.net/publication/283481666_Multi-Scale_Motif_Discovery_in_Image_Processing oa: '1' place: Heidelberg, Germany publication: Workshop on Probabilistic Graphical Models status: public title: Multi-Scale Motif Discovery in Image Processing type: conference_abstract user_id: '68554' year: 2015 ... --- _id: '2128' abstract: - lang: eng text: We present the concept of a perceptive motor in terms of a cyber-physical system (CPS). A model application monitoring a knitting process was developed, where the take-off of the produced fabric is controlled by an electric motor. The idea is to equip a synchronous motor with a smart camera and appropriate image processing hard- and software components. Subsequently, the characteristics of knitted fabric are analysed by machine-learning (ML) methods. Our concept includes motor-current analysis and image processing. The aim is to implement an assistance system for the industrial large circular knitting process. An assistance system will help to shorten the retrofitting process. The concept is based on a low cost hardware approach for a smart camera, and stems from the recent development of image processing applications for mobile devices [1–4]. author: - first_name: Kristijan full_name: Vukovic, Kristijan last_name: Vukovic - first_name: Kristina full_name: Simonis, Kristina last_name: Simonis - 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: 'Vukovic K, Simonis K, Dörksen H, Lohweg V. Efficient Image Processing System for an Industrial Machine Learning Task. In: Conference on Machine Learning for Cyber-Physical Systems (ML4CPS). Fraunhofer Application Centre IOSB-INA, Lemgo; 2015. doi:10.1007/978-3-662-48838-6_8' apa: Vukovic, K., Simonis, K., Dörksen, H., & Lohweg, V. (2015). Efficient Image Processing System for an Industrial Machine Learning Task. In Conference on Machine Learning for Cyber-Physical Systems (ML4CPS). Fraunhofer Application Centre IOSB-INA, Lemgo. https://doi.org/10.1007/978-3-662-48838-6_8 bjps: Vukovic K et al. (2015) Efficient Image Processing System for an Industrial Machine Learning Task. Conference on Machine Learning for Cyber-Physical Systems (ML4CPS). Fraunhofer Application Centre IOSB-INA, Lemgo. chicago: Vukovic, Kristijan, Kristina Simonis, Helene Dörksen, and Volker Lohweg. “Efficient Image Processing System for an Industrial Machine Learning Task.” In Conference on Machine Learning for Cyber-Physical Systems (ML4CPS). Fraunhofer Application Centre IOSB-INA, Lemgo, 2015. https://doi.org/10.1007/978-3-662-48838-6_8. chicago-de: 'Vukovic, Kristijan, Kristina Simonis, Helene Dörksen und Volker Lohweg. 2015. Efficient Image Processing System for an Industrial Machine Learning Task. In: Conference on Machine Learning for Cyber-Physical Systems (ML4CPS). Fraunhofer Application Centre IOSB-INA, Lemgo. doi:10.1007/978-3-662-48838-6_8, .' din1505-2-1: 'Vukovic, Kristijan ; Simonis, Kristina ; Dörksen, Helene ; Lohweg, Volker: Efficient Image Processing System for an Industrial Machine Learning Task. In: Conference on Machine Learning for Cyber-Physical Systems (ML4CPS). Fraunhofer Application Centre IOSB-INA, Lemgo, 2015' havard: 'K. Vukovic, K. Simonis, H. Dörksen, V. Lohweg, Efficient Image Processing System for an Industrial Machine Learning Task, in: Conference on Machine Learning for Cyber-Physical Systems (ML4CPS), Fraunhofer Application Centre IOSB-INA, Lemgo, 2015.' ieee: K. Vukovic, K. Simonis, H. Dörksen, and V. Lohweg, “Efficient Image Processing System for an Industrial Machine Learning Task,” in Conference on Machine Learning for Cyber-Physical Systems (ML4CPS), 2015. mla: Vukovic, Kristijan, et al. “Efficient Image Processing System for an Industrial Machine Learning Task.” Conference on Machine Learning for Cyber-Physical Systems (ML4CPS), 2015, doi:10.1007/978-3-662-48838-6_8. short: 'K. Vukovic, K. Simonis, H. Dörksen, V. Lohweg, in: Conference on Machine Learning for Cyber-Physical Systems (ML4CPS), Fraunhofer Application Centre IOSB-INA, Lemgo, 2015.' ufg: 'Vukovic, Kristijan et. al. (2015): Efficient Image Processing System for an Industrial Machine Learning Task, in: Conference on Machine Learning for Cyber-Physical Systems (ML4CPS), Fraunhofer Application Centre IOSB-INA, Lemgo.' van: 'Vukovic K, Simonis K, Dörksen H, Lohweg V. Efficient Image Processing System for an Industrial Machine Learning Task. In: Conference on Machine Learning for Cyber-Physical Systems (ML4CPS). Fraunhofer Application Centre IOSB-INA, Lemgo; 2015.' date_created: 2019-12-04T09:04:50Z date_updated: 2023-03-15T13:49:38Z department: - _id: DEP5023 doi: 10.1007/978-3-662-48838-6_8 keyword: - Assistance System - Euler Number - Synchronous Motor - Image Processing System - Image Processing Method language: - iso: eng main_file_link: - url: https://link.springer.com/chapter/10.1007/978-3-662-48838-6_8 place: Fraunhofer Application Centre IOSB-INA, Lemgo publication: Conference on Machine Learning for Cyber-Physical Systems (ML4CPS) status: public title: Efficient Image Processing System for an Industrial Machine Learning Task type: conference user_id: '68554' year: 2015 ... --- _id: '2136' abstract: - lang: eng text: In modern industrial applications driven by Cyber-physical systems (CPS) it is a challenging task to model and optimize processes such as machine analysis and diagnosis. Since the CPS have to act autonomously, a procedure for automated decision making has to be designed. In our work we concentrate on the design of a decision procedure by a fuzzy classifier approach. For our application on decision making in an industrial environment, a fuzzy approach was picked as convenient classification technique regarding balance between accuracy and computational time. We present a supervised learning method called FUZZY-ComRef which combines fuzzy classification and our combinatorial refinement method, called ComRef [1]. Due to the fact that fuzzy classification might behave inaccurately for some datasets, the aim of our approach is to improve the results provided by the (stand-alone) fuzzy classification. We show the performance of FUZZY-ComRef evaluated on the samples from the UCI Repository and on our real-world dataset Motor Drive Diagnosis. In addition, we discuss the quadratic computational time problem arising from the combinatorial nature of ComRef. Furthermore, we show based on real-time evaluations that within parallelisation the proposed FUZZY-ComRef is suitable to many applications in CPS. 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. Automated Fuzzy Classification with Combinatorial Refinement. In: 20th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Luxembourg, Sep 2015. . Luxembourg: IEEE; 2015. doi: 10.1109/ETFA.2015.7301514' apa: 'Dörksen, H., & Lohweg, V. (2015). Automated Fuzzy Classification with Combinatorial Refinement. In 20th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Luxembourg, Sep 2015. . Luxembourg: IEEE. https://doi.org/ 10.1109/ETFA.2015.7301514' bjps: 'Dörksen H and Lohweg V (2015) Automated Fuzzy Classification with Combinatorial Refinement. 20th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Luxembourg, Sep 2015. . Luxembourg: IEEE.' chicago: 'Dörksen, Helene, and Volker Lohweg. “Automated Fuzzy Classification with Combinatorial Refinement.” In 20th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Luxembourg, Sep 2015. . Luxembourg: IEEE, 2015. https://doi.org/ 10.1109/ETFA.2015.7301514.' chicago-de: 'Dörksen, Helene und Volker Lohweg. 2015. Automated Fuzzy Classification with Combinatorial Refinement. In: 20th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Luxembourg, Sep 2015. . Luxembourg: IEEE. doi: 10.1109/ETFA.2015.7301514, .' din1505-2-1: 'Dörksen, Helene ; Lohweg, Volker: Automated Fuzzy Classification with Combinatorial Refinement. In: 20th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Luxembourg, Sep 2015. . Luxembourg : IEEE, 2015' havard: 'H. Dörksen, V. Lohweg, Automated Fuzzy Classification with Combinatorial Refinement, in: 20th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Luxembourg, Sep 2015. , IEEE, Luxembourg, 2015.' ieee: H. Dörksen and V. Lohweg, “Automated Fuzzy Classification with Combinatorial Refinement,” in 20th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Luxembourg, Sep 2015. , 2015. mla: Dörksen, Helene, and Volker Lohweg. “Automated Fuzzy Classification with Combinatorial Refinement.” 20th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Luxembourg, Sep 2015. , IEEE, 2015, doi: 10.1109/ETFA.2015.7301514. short: 'H. Dörksen, V. Lohweg, in: 20th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Luxembourg, Sep 2015. , IEEE, Luxembourg, 2015.' ufg: 'Dörksen, Helene/Lohweg, Volker (2015): Automated Fuzzy Classification with Combinatorial Refinement, in: 20th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Luxembourg, Sep 2015. , Luxembourg.' van: 'Dörksen H, Lohweg V. Automated Fuzzy Classification with Combinatorial Refinement. In: 20th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Luxembourg, Sep 2015 . Luxembourg: IEEE; 2015.' date_created: 2019-12-04T09:23:21Z date_updated: 2023-03-15T13:49:39Z department: - _id: DEP5023 doi: ' 10.1109/ETFA.2015.7301514' keyword: - Support vector machines - Accuracy - Time complexity - Decision making - Motor drives - Shape - Sensors language: - iso: eng place: Luxembourg publication: '20th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Luxembourg, Sep 2015. ' publication_identifier: eisbn: - ' 978-1-4673-7929-8' publisher: IEEE status: public title: Automated Fuzzy Classification with Combinatorial Refinement type: conference user_id: '68554' year: 2015 ... --- _id: '2166' author: - first_name: Eugen full_name: Gillich, Eugen id: '1706' last_name: Gillich - 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: 'Gillich E, Dörksen H, Lohweg V. Advanced Color Processing for Mobile Devices . In: IST/SPIE Electronic Imaging 2015, Image Processing: Machine Vision Applications VIII. San Francisco, CA, USA: SPIE; 2015:1-12.' apa: 'Gillich, E., Dörksen, H., & Lohweg, V. (2015). Advanced Color Processing for Mobile Devices . In IST/SPIE Electronic Imaging 2015, Image Processing: Machine Vision Applications VIII (pp. 1–12). San Francisco, CA, USA: SPIE.' bjps: 'Gillich E, Dörksen H and Lohweg V (2015) Advanced Color Processing for Mobile Devices . IST/SPIE Electronic Imaging 2015, Image Processing: Machine Vision Applications VIII. San Francisco, CA, USA: SPIE, pp. 1–12.' chicago: 'Gillich, Eugen, Helene Dörksen, and Volker Lohweg. “Advanced Color Processing for Mobile Devices .” In IST/SPIE Electronic Imaging 2015, Image Processing: Machine Vision Applications VIII, 1–12. San Francisco, CA, USA: SPIE, 2015.' chicago-de: 'Gillich, Eugen, Helene Dörksen und Volker Lohweg. 2015. Advanced Color Processing for Mobile Devices . In: IST/SPIE Electronic Imaging 2015, Image Processing: Machine Vision Applications VIII, 1–12. San Francisco, CA, USA: SPIE.' din1505-2-1: 'Gillich, Eugen ; Dörksen, Helene ; Lohweg, Volker: Advanced Color Processing for Mobile Devices . In: IST/SPIE Electronic Imaging 2015, Image Processing: Machine Vision Applications VIII. San Francisco, CA, USA : SPIE, 2015, S. 1–12' havard: 'E. Gillich, H. Dörksen, V. Lohweg, Advanced Color Processing for Mobile Devices , in: IST/SPIE Electronic Imaging 2015, Image Processing: Machine Vision Applications VIII, SPIE, San Francisco, CA, USA, 2015: pp. 1–12.' ieee: 'E. Gillich, H. Dörksen, and V. Lohweg, “Advanced Color Processing for Mobile Devices ,” in IST/SPIE Electronic Imaging 2015, Image Processing: Machine Vision Applications VIII, 2015, pp. 1–12.' mla: 'Gillich, Eugen, et al. “Advanced Color Processing for Mobile Devices .” IST/SPIE Electronic Imaging 2015, Image Processing: Machine Vision Applications VIII, SPIE, 2015, pp. 1–12.' short: 'E. Gillich, H. Dörksen, V. Lohweg, in: IST/SPIE Electronic Imaging 2015, Image Processing: Machine Vision Applications VIII, SPIE, San Francisco, CA, USA, 2015, pp. 1–12.' ufg: 'Gillich, Eugen et. al. (2015): Advanced Color Processing for Mobile Devices , in: IST/SPIE Electronic Imaging 2015, Image Processing: Machine Vision Applications VIII, San Francisco, CA, USA, S. 1–12.' van: 'Gillich E, Dörksen H, Lohweg V. Advanced Color Processing for Mobile Devices . In: IST/SPIE Electronic Imaging 2015, Image Processing: Machine Vision Applications VIII. San Francisco, CA, USA: SPIE; 2015. p. 1–12.' date_created: 2019-12-04T12:41:37Z date_updated: 2023-03-15T13:49:39Z department: - _id: DEP5023 language: - iso: eng page: 1-12 place: San Francisco, CA, USA publication: 'IST/SPIE Electronic Imaging 2015, Image Processing: Machine Vision Applications VIII' publisher: SPIE status: public title: 'Advanced Color Processing for Mobile Devices ' type: conference user_id: '68554' year: 2015 ... --- _id: '2147' author: - first_name: Eugen full_name: Gillich, Eugen id: '1706' last_name: Gillich - 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: 'Gillich E, Dörksen H, Lohweg V. Generation of robust optical paths – Color Processing for Mobile Devices. . In: ; 2014.' apa: Gillich, E., Dörksen, H., & Lohweg, V. (2014). Generation of robust optical paths – Color Processing for Mobile Devices. . bjps: Gillich E, Dörksen H and Lohweg V (2014) Generation of Robust Optical Paths – Color Processing for Mobile Devices. . chicago: Gillich, Eugen, Helene Dörksen, and Volker Lohweg. “Generation of Robust Optical Paths – Color Processing for Mobile Devices. ,” 2014. chicago-de: 'Gillich, Eugen, Helene Dörksen und Volker Lohweg. 2014. Generation of robust optical paths – Color Processing for Mobile Devices. . In: .' din1505-2-1: 'Gillich, Eugen ; Dörksen, Helene ; Lohweg, Volker: Generation of robust optical paths – Color Processing for Mobile Devices. . In: , 2014' havard: 'E. Gillich, H. Dörksen, V. Lohweg, Generation of robust optical paths – Color Processing for Mobile Devices. , in: 2014.' ieee: E. Gillich, H. Dörksen, and V. Lohweg, “Generation of robust optical paths – Color Processing for Mobile Devices. ,” 2014. mla: Gillich, Eugen, et al. Generation of Robust Optical Paths – Color Processing for Mobile Devices. . 2014. short: 'E. Gillich, H. Dörksen, V. Lohweg, in: 2014.' ufg: 'Gillich, Eugen et. al. (2014): Generation of robust optical paths – Color Processing for Mobile Devices. , in: .' van: Gillich E, Dörksen H, Lohweg V. Generation of robust optical paths – Color Processing for Mobile Devices. . In 2014. date_created: 2019-12-04T09:53:46Z date_updated: 2023-03-15T13:49:39Z department: - _id: DEP5023 language: - iso: eng status: public title: 'Generation of robust optical paths – Color Processing for Mobile Devices. ' type: conference user_id: '45673' year: 2014 ... --- _id: '2148' author: - first_name: Jürg full_name: Hofmann, Jürg last_name: Hofmann - first_name: Eugen full_name: Gillich, Eugen id: '1706' last_name: Gillich - first_name: Helene full_name: Dörksen, Helene id: '46416' last_name: Dörksen - first_name: Daniel full_name: Chassot, Daniel last_name: Chassot - 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: 'Hofmann J, Gillich E, Dörksen H, et al. New Strategies in Image Processing for Standardized Intaglio Quality Analysis in the Printing Process. In: ; 2014.' apa: Hofmann, J., Gillich, E., Dörksen, H., Chassot, D., Schaede, J., Türke, T., & Lohweg, V. (2014). New Strategies in Image Processing for Standardized Intaglio Quality Analysis in the Printing Process. bjps: Hofmann J et al. (2014) New Strategies in Image Processing for Standardized Intaglio Quality Analysis in the Printing Process. chicago: Hofmann, Jürg, Eugen Gillich, Helene Dörksen, Daniel Chassot, Johannes Schaede, Thomas Türke, and Volker Lohweg. “New Strategies in Image Processing for Standardized Intaglio Quality Analysis in the Printing Process.,” 2014. chicago-de: 'Hofmann, Jürg, Eugen Gillich, Helene Dörksen, Daniel Chassot, Johannes Schaede, Thomas Türke und Volker Lohweg. 2014. New Strategies in Image Processing for Standardized Intaglio Quality Analysis in the Printing Process. In: .' din1505-2-1: 'Hofmann, Jürg ; Gillich, Eugen ; Dörksen, Helene ; Chassot, Daniel ; Schaede, Johannes ; Türke, Thomas ; Lohweg, Volker: New Strategies in Image Processing for Standardized Intaglio Quality Analysis in the Printing Process. In: , 2014' havard: 'J. Hofmann, E. Gillich, H. Dörksen, D. Chassot, J. Schaede, T. Türke, V. Lohweg, New Strategies in Image Processing for Standardized Intaglio Quality Analysis in the Printing Process., in: 2014.' ieee: J. Hofmann et al., “New Strategies in Image Processing for Standardized Intaglio Quality Analysis in the Printing Process.,” 2014. mla: Hofmann, Jürg, et al. New Strategies in Image Processing for Standardized Intaglio Quality Analysis in the Printing Process. 2014. short: 'J. Hofmann, E. Gillich, H. Dörksen, D. Chassot, J. Schaede, T. Türke, V. Lohweg, in: 2014.' ufg: 'Hofmann, Jürg et. al. (2014): New Strategies in Image Processing for Standardized Intaglio Quality Analysis in the Printing Process., in: .' van: Hofmann J, Gillich E, Dörksen H, Chassot D, Schaede J, Türke T, et al. New Strategies in Image Processing for Standardized Intaglio Quality Analysis in the Printing Process. In 2014. date_created: 2019-12-04T09:59:31Z date_updated: 2023-03-15T13:49:39Z department: - _id: DEP5023 language: - iso: eng publication_status: published status: public title: New Strategies in Image Processing for Standardized Intaglio Quality Analysis in the Printing Process. type: conference user_id: '45673' year: 2014 ... --- _id: '2160' abstract: - lang: eng text: We present a new approach for linear classification optimisation based on Combinatorial Refinement (ComRef) of feature weighting for cognitive signal processing in resource-limited hardware and software like in Cyber-physical systems. Despite simple construction, the approach is able to connect advantages of dimensionality reduction methods and such like combining multiple classifiers resp. Bag-of-classifiers-approaches and leads to a good generalisation ability even by use of small feature sets. Regarding generalisation ability, we benchmark the performance of ComRef on several datasets from the UCI repository. Furthermore, for an industrial dataset Motor Drive Diagnosis we show the advantage of ComRef which uses Support-Vector-Machines (SVM). In this application scenario, a trustful classifier is essential, since a small number of mis-classifications could lead to motor damages. 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. Combinatorial refinement of feature weighting for linear classification. In: Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA). IEEE; 2014. doi:10.1109/ETFA.2014.7005106' apa: Dörksen, H., & Lohweg, V. (2014). Combinatorial refinement of feature weighting for linear classification. In Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA). IEEE. https://doi.org/10.1109/ETFA.2014.7005106 bjps: Dörksen H and Lohweg V (2014) Combinatorial Refinement of Feature Weighting for Linear Classification. Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA). IEEE. chicago: Dörksen, Helene, and Volker Lohweg. “Combinatorial Refinement of Feature Weighting for Linear Classification.” In Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA). IEEE, 2014. https://doi.org/10.1109/ETFA.2014.7005106. chicago-de: 'Dörksen, Helene und Volker Lohweg. 2014. Combinatorial refinement of feature weighting for linear classification. In: Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA). IEEE. doi:10.1109/ETFA.2014.7005106, .' din1505-2-1: 'Dörksen, Helene ; Lohweg, Volker: Combinatorial refinement of feature weighting for linear classification. In: Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA) : IEEE, 2014' havard: 'H. Dörksen, V. Lohweg, Combinatorial refinement of feature weighting for linear classification, in: Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA), IEEE, 2014.' ieee: H. Dörksen and V. Lohweg, “Combinatorial refinement of feature weighting for linear classification,” in Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA), 2014. mla: Dörksen, Helene, and Volker Lohweg. “Combinatorial Refinement of Feature Weighting for Linear Classification.” Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA), IEEE, 2014, doi:10.1109/ETFA.2014.7005106. short: 'H. Dörksen, V. Lohweg, in: Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA), IEEE, 2014.' ufg: 'Dörksen, Helene/Lohweg, Volker (2014): Combinatorial refinement of feature weighting for linear classification, in: Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA).' van: 'Dörksen H, Lohweg V. Combinatorial refinement of feature weighting for linear classification. In: Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA). IEEE; 2014.' date_created: 2019-12-04T10:17:31Z date_updated: 2023-03-15T13:49:39Z department: - _id: DEP5023 doi: 10.1109/ETFA.2014.7005106 language: - iso: eng main_file_link: - url: https://ieeexplore.ieee.org/document/7005106 publication: Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA) publication_identifier: isbn: - 978-1-4799-4845-1 publication_status: published publisher: IEEE status: public title: Combinatorial refinement of feature weighting for linear classification type: conference user_id: '68554' year: 2014 ... --- _id: '2161' author: - first_name: Helene full_name: Dörksen, Helene id: '46416' last_name: Dörksen - 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: 'Dörksen H, Mönks U, Lohweg V. Fast Classification in Industrial Big Data Environments. In: 19th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Barcelona. Spain; 2014.' apa: Dörksen, H., Mönks, U., & Lohweg, V. (2014). Fast Classification in Industrial Big Data Environments. In 19th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Barcelona. Spain. bjps: Dörksen H, Mönks U and Lohweg V (2014) Fast Classification in Industrial Big Data Environments. 19th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Barcelona. Spain. chicago: Dörksen, Helene, Uwe Mönks, and Volker Lohweg. “Fast Classification in Industrial Big Data Environments.” In 19th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Barcelona. Spain, 2014. chicago-de: 'Dörksen, Helene, Uwe Mönks und Volker Lohweg. 2014. Fast Classification in Industrial Big Data Environments. In: 19th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Barcelona. Spain.' din1505-2-1: 'Dörksen, Helene ; Mönks, Uwe ; Lohweg, Volker: Fast Classification in Industrial Big Data Environments. In: 19th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Barcelona. Spain, 2014' havard: 'H. Dörksen, U. Mönks, V. Lohweg, Fast Classification in Industrial Big Data Environments, in: 19th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Barcelona, Spain, 2014.' ieee: H. Dörksen, U. Mönks, and V. Lohweg, “Fast Classification in Industrial Big Data Environments,” in 19th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Barcelona, 2014. mla: Dörksen, Helene, et al. “Fast Classification in Industrial Big Data Environments.” 19th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Barcelona, 2014. short: 'H. Dörksen, U. Mönks, V. Lohweg, in: 19th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Barcelona, Spain, 2014.' ufg: 'Dörksen, Helene et. al. (2014): Fast Classification in Industrial Big Data Environments, in: 19th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Barcelona, Spain.' van: 'Dörksen H, Mönks U, Lohweg V. Fast Classification in Industrial Big Data Environments. In: 19th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Barcelona. Spain; 2014.' date_created: 2019-12-04T10:18:42Z date_updated: 2023-03-15T13:49:39Z department: - _id: DEP5023 language: - iso: eng place: Spain publication: 19th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Barcelona status: public title: Fast Classification in Industrial Big Data Environments type: conference user_id: '45673' year: 2014 ... --- _id: '2129' 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 principle 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 is obvious to apply smartphones for banknote authentication, especially for visually impaired persons. Our approach shows that those devices are capable of processing data under the constraints of image quality and processing power. Strictly a mobile device as such is not an industrial product for harsh environments, but it is possible to use mobile devices for banknote authentication. The concept is based on a new strategy for constructing adaptive Wavelets for the analysis of different print patterns on a banknote. Furthermore, a banknote specific feature vector is generated which describes an authentic banknote effectively under various illumination conditions. A multi-stage Lineardiscriminant- analysis classifier generates stable and reliable output. 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: Jan Leif full_name: Hoffmann, Jan Leif id: '46243' last_name: Hoffmann - first_name: Roland full_name: Hildebrand, Roland id: '1639' last_name: Hildebrand - first_name: Eugen full_name: Gillich, Eugen id: '1706' last_name: Gillich - first_name: Johannes full_name: Schaede, Johannes id: '2128' last_name: Schaede - first_name: Jürg full_name: Hofmann, Jürg last_name: Hofmann citation: ama: 'Lohweg V, Dörksen H, Hoffmann JL, et al. Banknote authentication with mobile devices. In: Media Watermarking, Security, and Forensics 2013. San Francisco, USA: (03-07.02.2013) IST/SPIE Electronic Imaging 2013; 2013. doi:https://doi.org/10.1117/12.2001444' apa: 'Lohweg, V., Dörksen, H., Hoffmann, J. L., Hildebrand, R., Gillich, E., Schaede, J., & Hofmann, J. (2013). Banknote authentication with mobile devices. In Media Watermarking, Security, and Forensics 2013. San Francisco, USA: (03-07.02.2013) IST/SPIE Electronic Imaging 2013. https://doi.org/10.1117/12.2001444' bjps: 'Lohweg V et al. (2013) Banknote Authentication with Mobile Devices. Media Watermarking, Security, and Forensics 2013. San Francisco, USA: (03-07.02.2013) IST/SPIE Electronic Imaging 2013.' chicago: 'Lohweg, Volker, Helene Dörksen, Jan Leif Hoffmann, Roland Hildebrand, Eugen Gillich, Johannes Schaede, and Jürg Hofmann. “Banknote Authentication with Mobile Devices.” In Media Watermarking, Security, and Forensics 2013. San Francisco, USA: (03-07.02.2013) IST/SPIE Electronic Imaging 2013, 2013. https://doi.org/10.1117/12.2001444.' chicago-de: 'Lohweg, Volker, Helene Dörksen, Jan Leif Hoffmann, Roland Hildebrand, Eugen Gillich, Johannes Schaede und Jürg Hofmann. 2013. Banknote authentication with mobile devices. In: Media Watermarking, Security, and Forensics 2013. San Francisco, USA: (03-07.02.2013) IST/SPIE Electronic Imaging 2013. doi:https://doi.org/10.1117/12.2001444, .' din1505-2-1: 'Lohweg, Volker ; Dörksen, Helene ; Hoffmann, Jan Leif ; Hildebrand, Roland ; Gillich, Eugen ; Schaede, Johannes ; Hofmann, Jürg: Banknote authentication with mobile devices. In: Media Watermarking, Security, and Forensics 2013. San Francisco, USA : (03-07.02.2013) IST/SPIE Electronic Imaging 2013, 2013' havard: 'V. Lohweg, H. Dörksen, J.L. Hoffmann, R. Hildebrand, E. Gillich, J. Schaede, J. Hofmann, Banknote authentication with mobile devices, in: Media Watermarking, Security, and Forensics 2013, (03-07.02.2013) IST/SPIE Electronic Imaging 2013, San Francisco, USA, 2013.' ieee: V. Lohweg et al., “Banknote authentication with mobile devices,” in Media Watermarking, Security, and Forensics 2013, 2013. mla: Lohweg, Volker, et al. “Banknote Authentication with Mobile Devices.” Media Watermarking, Security, and Forensics 2013, (03-07.02.2013) IST/SPIE Electronic Imaging 2013, 2013, doi:https://doi.org/10.1117/12.2001444. short: 'V. Lohweg, H. Dörksen, J.L. Hoffmann, R. Hildebrand, E. Gillich, J. Schaede, J. Hofmann, in: Media Watermarking, Security, and Forensics 2013, (03-07.02.2013) IST/SPIE Electronic Imaging 2013, San Francisco, USA, 2013.' ufg: 'Lohweg, Volker et. al. (2013): Banknote authentication with mobile devices, in: Media Watermarking, Security, and Forensics 2013, San Francisco, USA.' van: 'Lohweg V, Dörksen H, Hoffmann JL, Hildebrand R, Gillich E, Schaede J, et al. Banknote authentication with mobile devices. In: Media Watermarking, Security, and Forensics 2013. San Francisco, USA: (03-07.02.2013) IST/SPIE Electronic Imaging 2013; 2013.' date_created: 2019-12-04T09:08:30Z date_updated: 2023-03-15T13:49:38Z department: - _id: DEP5023 doi: https://doi.org/10.1117/12.2001444 language: - iso: eng place: San Francisco, USA publication: Media Watermarking, Security, and Forensics 2013 publication_status: published publisher: (03-07.02.2013) IST/SPIE Electronic Imaging 2013 status: public title: Banknote authentication with mobile devices 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: '2116' abstract: - lang: eng text: Favored by hardware development, since the mid-2000s, cameras can be found in mobile phones. With the advent of the Apple iPhonethey are equipped with a multi-touch high-resolution display. Their included battery and low costs make them attractive for smart cameraapplications. This paper shows several scenarios, in which advantagesand disadvantages of smartphones are inspected. A real-life applicationis given, which shows that a phone of this kind can be used for printinspection and banknote authentication author: - 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: 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: 'Gillich E, Hildebrand R, Hoffmann JL, Dörksen H, Lohweg V. Smartphones as Smart Cameras – Is It Possible? In: BVAu 2012 - 3. Jahreskolloquium “Bildverarbeitung in Der Automation” Centrum Industrial IT, Lemgo,. inIT-Institut für industrielle Informationstechnik; 2012.' apa: Gillich, E., Hildebrand, R., Hoffmann, J. L., Dörksen, H., & Lohweg, V. (2012). Smartphones as Smart Cameras – Is It Possible? In BVAu 2012 - 3. Jahreskolloquium “Bildverarbeitung in der Automation” Centrum Industrial IT, Lemgo,. inIT-Institut für industrielle Informationstechnik. bjps: Gillich E et al. (2012) Smartphones as Smart Cameras – Is It Possible? BVAu 2012 - 3. Jahreskolloquium ‘Bildverarbeitung in Der Automation’ Centrum Industrial IT, Lemgo,. inIT-Institut für industrielle Informationstechnik. chicago: Gillich, Eugen, Roland Hildebrand, Jan Leif Hoffmann, Helene Dörksen, and Volker Lohweg. “Smartphones as Smart Cameras – Is It Possible?” In BVAu 2012 - 3. Jahreskolloquium “Bildverarbeitung in Der Automation” Centrum Industrial IT, Lemgo,. inIT-Institut für industrielle Informationstechnik, 2012. chicago-de: 'Gillich, Eugen, Roland Hildebrand, Jan Leif Hoffmann, Helene Dörksen und Volker Lohweg. 2012. Smartphones as Smart Cameras – Is It Possible? In: BVAu 2012 - 3. Jahreskolloquium „Bildverarbeitung in der Automation“ Centrum Industrial IT, Lemgo,. inIT-Institut für industrielle Informationstechnik.' din1505-2-1: 'Gillich, Eugen ; Hildebrand, Roland ; Hoffmann, Jan Leif ; Dörksen, Helene ; Lohweg, Volker: Smartphones as Smart Cameras – Is It Possible? In: BVAu 2012 - 3. Jahreskolloquium „Bildverarbeitung in der Automation“ Centrum Industrial IT, Lemgo, : inIT-Institut für industrielle Informationstechnik, 2012' havard: 'E. Gillich, R. Hildebrand, J.L. Hoffmann, H. Dörksen, V. Lohweg, Smartphones as Smart Cameras – Is It Possible?, in: BVAu 2012 - 3. Jahreskolloquium “Bildverarbeitung in Der Automation” Centrum Industrial IT, Lemgo, inIT-Institut für industrielle Informationstechnik, 2012.' ieee: E. Gillich, R. Hildebrand, J. L. Hoffmann, H. Dörksen, and V. Lohweg, “Smartphones as Smart Cameras – Is It Possible?,” in BVAu 2012 - 3. Jahreskolloquium “Bildverarbeitung in der Automation” Centrum Industrial IT, Lemgo, 2012. mla: Gillich, Eugen, et al. “Smartphones as Smart Cameras – Is It Possible?” BVAu 2012 - 3. Jahreskolloquium “Bildverarbeitung in Der Automation” Centrum Industrial IT, Lemgo, inIT-Institut für industrielle Informationstechnik, 2012. short: 'E. Gillich, R. Hildebrand, J.L. Hoffmann, H. Dörksen, V. Lohweg, in: BVAu 2012 - 3. Jahreskolloquium “Bildverarbeitung in Der Automation” Centrum Industrial IT, Lemgo, inIT-Institut für industrielle Informationstechnik, 2012.' ufg: 'Gillich, Eugen et. al. (2012): Smartphones as Smart Cameras – Is It Possible?, in: BVAu 2012 - 3. Jahreskolloquium „Bildverarbeitung in der Automation“ Centrum Industrial IT, Lemgo,.' van: 'Gillich E, Hildebrand R, Hoffmann JL, Dörksen H, Lohweg V. Smartphones as Smart Cameras – Is It Possible? In: BVAu 2012 - 3 Jahreskolloquium “Bildverarbeitung in der Automation” Centrum Industrial IT, Lemgo,. inIT-Institut für industrielle Informationstechnik; 2012.' date_created: 2019-12-03T06:56:37Z date_updated: 2023-03-15T13:49:38Z department: - _id: DEP5023 keyword: - smart camera - smartphones - banknotes - authentication language: - iso: eng publication: BVAu 2012 - 3. Jahreskolloquium "Bildverarbeitung in der Automation" Centrum Industrial IT, Lemgo, publication_status: published publisher: inIT-Institut für industrielle Informationstechnik status: public title: Smartphones as Smart Cameras – Is It Possible? type: conference user_id: '45673' year: 2012 ...