@misc{10326,
  abstract     = {{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       = {{Wörner, Julius and Dörksen, Helene and Pein-Hackelbusch, Miriam}},
  booktitle    = {{2023 IEEE 21st International Conference on Industrial Informatics (INDIN)}},
  keywords     = {{Ethanol, Pipelines, Metals, Nose, Electronic noses, Sensor systems, Sensors, Quartz crystals, Linear discriminant analysis, Sulfur}},
  location     = {{Lemgo}},
  title        = {{{Key Indicators for the Discrimination of Wines by Electronic Noses}}},
  doi          = {{https://doi.org/10.1109/INDIN51400.2023.10217912}},
  year         = {{2023}},
}

@inproceedings{2062,
  abstract     = {{Bank note inspection is a complex task. As more and more print techniques and new security features are established, total quality security and bank note printing must be assured. Therefore, this factor necessitates change of a sensorial concept in general. We propose an optical-acoustical inspection method based upon the concepts of information fusion and fuzzy interpretation of data measures. Furthermore, we present a simplified scheme for information fusion for pattern recognition and data classification based on parametrical unimodal potential functions and a Sugeno-type score value analysis. Digital Object Identifier: 10.1109/ICIF.2006.301779 <br />}},
  author       = {{Dyck, Walter and Schaede, Johannes and Türke, Thomas and Lohweg, Volker}},
  booktitle    = {{ 2006 9th International Conference on Information Fusion}},
  isbn         = {{ 1-4244-0953-5}},
  keywords     = {{Information security, Inspection, Printing machinery, Optical sensors, Data security, Personnel, Fuzzy systems, Sensor systems, Expert systems, Ink}},
  pages        = {{1--8}},
  publisher    = {{9th International Conference on Information Fusion, 2006. ICIF '06}},
  title        = {{{Information Fusion Application On Security Printing With Parametrical Fuzzy Classification}}},
  doi          = {{10.1109/ICIF.2006.301779}},
  year         = {{2006}},
}