@inproceedings{NiemuellerLakemeyerFerrein2013,
  author    = {Niem{\"u}ller, Tim and Lakemeyer, Gerhard and Ferrein, Alexander},
  title     = {Aspects of integrating diverse software into robotic systems extended abstract},
  series = {ICRA 2013 - 8th Workshop on Software Development and Integration in Robotics (SDIR), Karlsruhe, Germany},
  booktitle = {ICRA 2013 - 8th Workshop on Software Development and Integration in Robotics (SDIR), Karlsruhe, Germany},
  pages     = {1 -- 2},
  year      = {2013},
  language  = {en}
}
@article{FerreinKonurLakemeyer2004,
  author    = {Ferrein, Alexander and Konur, Savas and Lakemeyer, Gerhard},
  title     = {Learning Decision Trees for Action Selection in Soccer Agents / Konur, Savas ; Ferrein, Alexander ; Lakemeyer, Gerhard},
  pages     = {1 -- 7},
  year      = {2004},
  language  = {en}
}
@article{EngelmannPourshahidiShalabyetal.2022,
  author    = {Engelmann, Ulrich M. and Pourshahidi, Mohammad Ali and Shalaby, Ahmed and Krause, Hans-Joachim},
  title     = {Probing particle size dependency of frequency mixing magnetic detection with dynamic relaxation simulation},
  series = {Journal of Magnetism and Magnetic Materials},
  volume    = {563},
  journal   = {Journal of Magnetism and Magnetic Materials},
  number    = {In progress, Art. No. 169965},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {0304-8853},
  doi       = {10.1016/j.jmmm.2022.169965},
  year      = {2022},
  abstract  = {Biomedical applications of magnetic nanoparticles (MNP) fundamentally rely on the particles' magnetic relaxation as a response to an alternating magnetic field. The magnetic relaxation complexly depends on the interplay of MNP magnetic and physical properties with the applied field parameters. It is commonly accepted that particle core size is a major contributor to signal generation in all the above applications, however, most MNP samples comprise broad distribution spanning nm and more. Therefore, precise knowledge of the exact contribution of individual core sizes to signal generation is desired for optimal MNP design generally for each application. Specifically, we present a magnetic relaxation simulation-driven analysis of experimental frequency mixing magnetic detection (FMMD) for biosensing to quantify the contributions of individual core size fractions towards signal generation. Applying our method to two different experimental MNP systems, we found the most dominant contributions from approx. 20 nm sized particles in the two independent MNP systems. Additional comparison between freely suspended and immobilized MNP also reveals insight in the MNP microstructure, allowing to use FMMD for MNP characterization, as well as to further fine-tune its applicability in biosensing.},
  language  = {en}
}
@inproceedings{PoghossianBronderWuetal.2015,
  author    = {Poghossian, Arshak and Bronder, Thomas and Wu, Chunsheng and Sch{\"o}ning, Michael Josef},
  title     = {Label-free sensing of biomolecules by their intrinsic molecular charge using field-effect devices},
  series = {Semiconductor Micro- and Nanoelectonics : Proceedings of the tenth international conference, Yerevan, Armenia, September 11-13},
  booktitle = {Semiconductor Micro- and Nanoelectonics : Proceedings of the tenth international conference, Yerevan, Armenia, September 11-13},
  isbn      = {978-5-8084-1991-9},
  pages     = {61 -- 63},
  year      = {2015},
  language  = {en}
}
@article{Ferrein2005,
  author    = {Ferrein, Alexander},
  title     = {Specifying Soccer Moves with Golog},
  series = {Book of abstracts : Cologne, 15 - 17 September 2004 / 1st International Working Conference IT and Sport \& 5th conference DVS-Section Computer Science in Sport},
  journal   = {Book of abstracts : Cologne, 15 - 17 September 2004 / 1st International Working Conference IT and Sport \& 5th conference DVS-Section Computer Science in Sport},
  publisher = {German Sport Univ.},
  address   = {K{\"o}ln},
  isbn      = {3-00-014576-1},
  pages     = {161 -- 165},
  year      = {2005},
  language  = {en}
}
@inproceedings{PoghossianSchumacherKloocketal.2006,
  author    = {Poghossian, Arshak and Schumacher, Kerstin and Kloock, Joachim P. and Rosenkranz, Christian and Schultze, Joachim W. and M{\"u}ller-Veggian, Mattea and Sch{\"o}ning, Michael Josef},
  title     = {Functional testing and characterisation of ISFETs on wafer level by means of a micro-droplet cell},
  url       = {http://nbn-resolving.de/urn:nbn:de:hbz:a96-opus-1259},
  year      = {2006},
  abstract  = {A wafer-level functionality testing and characterisation system for ISFETs (ionsensitive field-effect transistor) is realised by means of integration of a specifically designed capillary electrochemical micro-droplet cell into a commercial wafer prober-station. The developed system allows the identification and selection of "good" ISFETs at the earliest stage and to avoid expensive bonding, encapsulation and packaging processes for nonfunctioning ISFETs and thus, to decrease costs, which are wasted for bad dies. The developed system is also feasible for wafer-level characterisation of ISFETs in terms of sensitivity, hysteresis and response time. Additionally, the system might be also utilised for wafer-level testing of further electrochemical sensors.},
  subject      = {Biosensor},
  language  = {en}
}
@article{SchoppDollGraeseretal.2016,
  author    = {Schopp, Christoph and Doll, Timo and Gr{\"a}ser, Ulrich and Harzheim, Thomas and Heuermann, Holger and Kling, Rainer and Marso, Michael},
  title     = {Capacitively Coupled High-Pressure Lamp Using Coaxial Line Networks},
  series = {IEEE Transactions on Microwave Theory and Techniques},
  volume    = {64},
  journal   = {IEEE Transactions on Microwave Theory and Techniques},
  number    = {10},
  publisher = {IEEE},
  address   = {New York, NY},
  issn      = {0018-9480},
  doi       = {10.1109/TMTT.2016.2600326},
  pages     = {3363 -- 3368},
  year      = {2016},
  abstract  = {This paper describes the development of a capacitively coupled high-pressure lamp with input power between 20 and 43 W at 2.45 GHz, using a coaxial line network. Compared with other electrodeless lamp systems, no cavity has to be used and a reduction in the input power is achieved. Therefore, this lamp is an alternative to the halogen incandescent lamp for domestic lighting. To serve the demands of domestic lighting, the filling of the lamp is optimized over all other resulting requirements, such as high efficacy at low induced powers and fast startups. A workflow to develop RF-driven plasma applications is presented, which makes use of the hot S-parameter technique. Descriptions of the fitting process inside a circuit and FEM simulator are given. Results of the combined ignition and operation network from simulations and measurements are compared. An initial prototype is built and measurements of the lamp's lighting properties are presented along with an investigation of the efficacy optimizations using large signal amplitude modulation. With this lamp, an efficacy of 135 lmW -1 is achieved.},
  language  = {en}
}
@inproceedings{HeuermannHarzheimMuehmel2021,
  author    = {Heuermann, Holger and Harzheim, Thomas and M{\"u}hmel, Marc},
  title     = {A maritime harmonic radar search and rescue system using passive and active tags},
  series = {2020 17th European Radar Conference (EuRAD)},
  booktitle = {2020 17th European Radar Conference (EuRAD)},
  publisher = {IEEE},
  address   = {New York, NY},
  isbn      = {978-2-87487-061-3},
  doi       = {10.1109/EuRAD48048.2021.00030},
  pages     = {73 -- 76},
  year      = {2021},
  abstract  = {This article introduces a new maritime search and rescue system based on S-band illumination harmonic radar (HR). Passive and active tags have been developed and tested attached to life jackets and a rescue boat. This system was able to detect and range the active tags up to a range of 5800 m in tests on the Baltic Sea with an antenna input power of only 100 W. All electronic GHz components of the system, excluding the S-band power amplifier, were custom developed for this purpose. Special attention is given to the performance and conceptual differences between passive and active tags used in the system and integration with a maritime X-band navigation radar is demonstrated.},
  language  = {en}
}
@article{GasparyanPoghossianVitusevichetal.2011,
  author    = {Gasparyan, Ferdinand V. and Poghossian, Arshak and Vitusevich, Svetlana A. and Petrychuk, Mykhaylo V. and Sydoruk, Viktor A. and Siqueira, Jos{\´e} R. Jr. and Oliveira, Osvaldo N. Jr. and Offenh{\"a}usser, Andreas and Sch{\"o}ning, Michael Josef},
  title     = {Low-Frequency Noise in Field-Effect Devices Functionalized With Dendrimer/Carbon-Nanotube Multilayers},
  series = {IEEE Sensors Journal. 11 (2011), H. 1},
  journal   = {IEEE Sensors Journal. 11 (2011), H. 1},
  publisher = {IEEE},
  address   = {New York},
  isbn      = {1530-437X},
  pages     = {142 -- 149},
  year      = {2011},
  language  = {en}
}
@article{GriegerSchwabedalWendeletal.2021,
  author    = {Grieger, Niklas and Schwabedal, Justus T. C. and Wendel, Stefanie and Ritze, Yvonne and Bialonski, Stephan},
  title     = {Automated scoring of pre-REM sleep in mice with deep learning},
  series = {Scientific Reports},
  volume    = {11},
  journal   = {Scientific Reports},
  number    = {Art. 12245},
  publisher = {Springer Nature},
  address   = {London},
  issn      = {2045-2322},
  doi       = {10.1038/s41598-021-91286-0},
  year      = {2021},
  abstract  = {Reliable automation of the labor-intensive manual task of scoring animal sleep can facilitate the analysis of long-term sleep studies. In recent years, deep-learning-based systems, which learn optimal features from the data, increased scoring accuracies for the classical sleep stages of Wake, REM, and Non-REM. Meanwhile, it has been recognized that the statistics of transitional stages such as pre-REM, found between Non-REM and REM, may hold additional insight into the physiology of sleep and are now under vivid investigation. We propose a classification system based on a simple neural network architecture that scores the classical stages as well as pre-REM sleep in mice. When restricted to the classical stages, the optimized network showed state-of-the-art classification performance with an out-of-sample F1 score of 0.95 in male C57BL/6J mice. When unrestricted, the network showed lower F1 scores on pre-REM (0.5) compared to the classical stages. The result is comparable to previous attempts to score transitional stages in other species such as transition sleep in rats or N1 sleep in humans. Nevertheless, we observed that the sequence of predictions including pre-REM typically transitioned from Non-REM to REM reflecting sleep dynamics observed by human scorers. Our findings provide further evidence for the difficulty of scoring transitional sleep stages, likely because such stages of sleep are under-represented in typical data sets or show large inter-scorer variability. We further provide our source code and an online platform to run predictions with our trained network.},
  language  = {en}
}