@misc{13829,
  abstract     = {{Modeling 5G Radio Access Networks (RANs) at scale requires rapid (re-)configuration of 5G base stations (BSs), e.g., based on open-source software (OSS) stacks, which in general is a challenging task in scenarios with highly dynamic environments and networking demands. Existing solutions are often insufficient to provide an automated configuration functionality based on basic 5G cell parameters. Manual adjustments in such scenarios require specialized knowledge usually not present outside of traditional network providers and established research groups. They are often prone to errors, misconfigurations, and typically do not meet the need for dynamic and timely updates to the networking configuration. In this paper, we present 5GAutoConf, which, to the best of our knowledge, is the first open source automatic 5G BS configuration tool that uses basic input parameters. 5GAutoConf implements an automatic datadriven process that rapidly creates configurations for OSS 5G RAN stacks, enabling fast 5G BS adaptation for experimental purposes. Further, 5GAutoConf integrates both 5G standardcompliant and generated lookup tables (LUTs) for use caseoriented optimization. Since the derivation process of waveform parameters is the most important part of the tool, it is described in detail.}},
  author       = {{Fliedner, Niels Hendrik and Klingler, Florian and Trsek, Henning}},
  booktitle    = {{Proceedings of the 22nd IEEE International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT 2026)}},
  keywords     = {{5G NR, RAN, data-driven network optimization, open-source toolkits, automated network configuration, rapid network deployment}},
  location     = {{Reykjavík, Island}},
  publisher    = {{IEEE}},
  title        = {{{5GAutoConf: A Rapid Data-Driven Autoconfiguration Tool for 5G Base Stations}}},
  doi          = {{https://doi.org/10.5281/zenodo.20796160}},
  year         = {{2026}},
}

@misc{12705,
  abstract     = {{This dataset contains spectroscopic measurement data and Orange project files used in the INDIN 2023 paper "A Novel Spectroscopic Approach for Vaseline Quality Discrimination".}},
  author       = {{Fliedner, Niels Hendrik and Lohweg, Volker and Pein-Hackelbusch, Miriam}},
  publisher    = {{zenodo}},
  title        = {{{Dataset for A Novel Spectroscopic Approach for Vaseline Quality Discrimination}}},
  doi          = {{10.5281/ZENODO.7782807}},
  year         = {{2023}},
}

@misc{13828,
  abstract     = {{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       = {{Fliedner, Niels Hendrik and Lohweg, Volker and Al-Karawi, Claudia and Pein-Hackelbusch, Miriam}},
  booktitle    = {{2023 IEEE 21st International Conference on Industrial Informatics (INDIN 2023)}},
  editor       = {{Dörksen, Helene and Scanzio, Stefano and Jasperneite, Jürgen and Wisniewski, Lukasz and Man, Kim Fung and Sauter, Thilo and Seno, Lucia and Trsek, Henning and Vyatkin, Valeriy}},
  isbn         = {{978-1-6654-9313-0}},
  keywords     = {{Reflectivity, Industries, Wounds, Hydrocarbons, Behavioral sciences, Thermal analysis, Sensors}},
  location     = {{Lemgo}},
  publisher    = {{IEEE}},
  title        = {{{A Novel Spectroscopic Approach for Vaseline Quality Discrimination}}},
  doi          = {{10.1109/indin51400.2023.10218318}},
  year         = {{2023}},
}

@misc{8067,
  author       = {{Fliedner, Niels Hendrik and Meier, Uwe and Neugebauer, Thomas}},
  booktitle    = {{23rd IEEE Conference on Emerging Technologies and Factory Automation - ETFA 2018}},
  publisher    = {{IEEE Conference on Emerging Technologies and Factory Automation - ETFA }},
  title        = {{{Performance Analysis of a High-Reliable Real-Time Wireless Transmission System with Near Field Coupling}}},
  year         = {{2018}},
}

@misc{8071,
  author       = {{Fliedner, Niels Hendrik and Block, Dimitri  and Meier, Uwe}},
  booktitle    = {{15th International Symposium on Wireless Communication Systems, ISWCS 2018}},
  publisher    = {{International Symposium on Wireless Communication Systems - ISWCS}},
  title        = {{{A Software-Defined Channel Sounder for Industrial Environments with Fast Time Variance}}},
  year         = {{2018}},
}