@inproceedings{HeuermannSadeghfamFinger2013,
  author    = {Heuermann, Holger and Sadeghfam, Arash and Finger, Torsten},
  title     = {Alternative ignition system based on microwave plasma},
  series = {Advanced ignition systems for gasoline engines : [Vortr{\"a}ge der 1st International Conference Advanced Ignition Systems for Gasoline Engines - 1. Internationale Tagung Z{\"u}ndsysteme f{\"u}r Ottomotoren, 12.-13. November 2012, Berlin]},
  booktitle = {Advanced ignition systems for gasoline engines : [Vortr{\"a}ge der 1st International Conference Advanced Ignition Systems for Gasoline Engines - 1. Internationale Tagung Z{\"u}ndsysteme f{\"u}r Ottomotoren, 12.-13. November 2012, Berlin]},
  publisher = {Expert-Verl.},
  address   = {Renningen},
  organization    = {International Conference Advanced Ignition Systems for Gasoline Engines <1, 2012, Berlin>},
  isbn      = {9783816931904},
  pages     = {95 -- 103},
  year      = {2013},
  language  = {en}
}
@inproceedings{HarzheimHeuermannMarso2016,
  author    = {Harzheim, Thomas and Heuermann, Holger and Marso, Michel},
  title     = {An Adaptive Biasing Method for SRD Comb Generators},
  series = {2016 German Microwave Conference (GeMiC)},
  booktitle = {2016 German Microwave Conference (GeMiC)},
  publisher = {IEEE},
  doi       = {10.1109/GEMIC.2016.7461613},
  pages     = {289 -- 292},
  year      = {2016},
  language  = {en}
}
@inproceedings{FingerKhalsaKreyeretal.2019,
  author    = {Finger, Felix and Khalsa, R. and Kreyer, J{\"o}rg and Mayntz, Joscha and Braun, Carsten and Dahmann, Peter and Esch, Thomas and Kemper, Hans and Schmitz, O. and Bragard, Michael},
  title     = {An approach to propulsion system modelling for the conceptual design of hybrid-electric general aviation aircraft},
  series = {Deutscher Luft- und Raumfahrtkongress 2019, 30.9.-2.10.2019, Darmstadt},
  booktitle = {Deutscher Luft- und Raumfahrtkongress 2019, 30.9.-2.10.2019, Darmstadt},
  pages     = {15 Seiten},
  year      = {2019},
  abstract  = {In this paper, an approach to propulsion system modelling for hybrid-electric general aviation aircraft is presented. Because the focus is on general aviation aircraft, only combinations of electric motors and reciprocating combustion engines are explored. Gas turbine hybrids will not be considered. The level of the component's models is appropriate for the conceptual design stage. They are simple and adaptable, so that a wide range of designs with morphologically different propulsive system architectures can be quickly compared. Modelling strategies for both mass and efficiency of each part of the propulsion system (engine, motor, battery and propeller) will be presented.},
  language  = {en}
}
@inproceedings{AlhwarinFerreinScholl2019,
  author    = {Alhwarin, Faraj and Ferrein, Alexander and Scholl, Ingrid},
  title     = {An Efficient Hashing Algorithm for NN Problem in HD Spaces},
  series = {Lecture Notes in Computer Science},
  booktitle = {Lecture Notes in Computer Science},
  isbn      = {978-303005498-4},
  doi       = {10.1007/978-3-030-05499-1_6},
  pages     = {101 -- 115},
  year      = {2019},
  language  = {en}
}
@inproceedings{SchubaHoefkenLinzbach2022,
  author    = {Schuba, Marko and H{\"o}fken, Hans-Wilhelm and Linzbach, Sophie},
  title     = {An ICS Honeynet for Detecting and Analyzing Cyberattacks in Industrial Plants},
  series = {2021 International Conference on Electrical, Computer and Energy Technologies (ICECET)},
  booktitle = {2021 International Conference on Electrical, Computer and Energy Technologies (ICECET)},
  publisher = {IEEE},
  isbn      = {978-1-6654-4231-2},
  doi       = {10.1109/ICECET52533.2021.9698746},
  pages     = {6 Seiten},
  year      = {2022},
  abstract  = {Cybersecurity of Industrial Control Systems (ICS) is an important issue, as ICS incidents may have a direct impact on safety of people or the environment. At the same time the awareness and knowledge about cybersecurity, particularly in the context of ICS, is alarmingly low. Industrial honeypots offer a cheap and easy to implement way to raise cybersecurity awareness and to educate ICS staff about typical attack patterns. When integrated in a productive network, industrial honeypots may not only reveal attackers early but may also distract them from the actual important systems of the network. Implementing multiple honeypots as a honeynet, the systems can be used to emulate or simulate a whole Industrial Control System. This paper describes a network of honeypots emulating HTTP, SNMP, S7communication and the Modbus protocol using Conpot, IMUNES and SNAP7. The nodes mimic SIMATIC S7 programmable logic controllers (PLCs) which are widely used across the globe. The deployed honeypots' features will be compared with the features of real SIMATIC S7 PLCs. Furthermore, the honeynet has been made publicly available for ten days and occurring cyberattacks have been analyzed},
  language  = {en}
}
@inproceedings{ZugNiemuellerHochgeschwenderetal.2017,
  author    = {Zug, Sebastian and Niemueller, Tim and Hochgeschwender, Nico and Seidensticker, Kai and Seidel, Martin and Friedrich, Tim and Neumann, Tobias and Karras, Ulrich and Kraetzschmar, Gerhard K. and Ferrein, Alexander},
  title     = {An Integration Challenge to Bridge the Gap Among Industry-Inspired RoboCup Leagues},
  series = {RoboCup 2016: Robot World Cup XX. RoboCup 2016.},
  booktitle = {RoboCup 2016: Robot World Cup XX. RoboCup 2016.},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-319-68792-6},
  doi       = {10.1007/978-3-319-68792-6_13},
  pages     = {157 -- 168},
  year      = {2017},
  language  = {en}
}
@inproceedings{AlhwarinSchifferFerreinetal.2019,
  author    = {Alhwarin, Faraj and Schiffer, Stefan and Ferrein, Alexander and Scholl, Ingrid},
  title     = {An Optimized Method for 3D Body Scanning Applications Based on KinectFusion},
  series = {Communications in Computer and Information Science},
  volume    = {1024},
  booktitle = {Communications in Computer and Information Science},
  publisher = {Springer},
  issn      = {1865-0929},
  doi       = {10.1007/978-3-030-29196-9_6},
  pages     = {100 -- 113},
  year      = {2019},
  language  = {en}
}
@inproceedings{HeuermannSadeghfam2016,
  author    = {Heuermann, Holger and Sadeghfam, Arash},
  title     = {Analog Amplitude-Locked Loop Circuit to Support RF Energy Solutions},
  series = {IEEE MTT-S International Microwave Symposium Digest},
  booktitle = {IEEE MTT-S International Microwave Symposium Digest},
  isbn      = {978-150900698-4},
  doi       = {10.1109/MWSYM.2016.7540092},
  pages     = {4 Seiten},
  year      = {2016},
  language  = {de}
}
@inproceedings{DinghoferHartung2020,
  author    = {Dinghofer, Kai and Hartung, Frank},
  title     = {Analysis of Criteria for the Selection of Machine Learning Frameworks},
  series = {2020 International Conference on Computing, Networking and Communications (ICNC)},
  booktitle = {2020 International Conference on Computing, Networking and Communications (ICNC)},
  publisher = {IEEE},
  address   = {New York, NY},
  doi       = {10.1109/ICNC47757.2020.9049650},
  pages     = {373 -- 377},
  year      = {2020},
  abstract  = {With the many achievements of Machine Learning in the past years, it is likely that the sub-area of Deep Learning will continue to deliver major technological breakthroughs [1]. In order to achieve best results, it is important to know the various different Deep Learning frameworks and their respective properties. This paper provides a comparative overview of some of the most popular frameworks. First, the comparison methods and criteria are introduced and described with a focus on computer vision applications: Features and Uses are examined by evaluating papers and articles, Adoption and Popularity is determined by analyzing a data science study. Then, the frameworks TensorFlow, Keras, PyTorch and Caffe are compared based on the previously described criteria to highlight properties and differences. Advantages and disadvantages are compared, enabling researchers and developers to choose a framework according to their specific needs.},
  language  = {en}
}
@inproceedings{CordesGligorevicBlicharski2019,
  author    = {Cordes, Sven and Gligorevic, Snjezana and Blicharski, Peter},
  title     = {Analysis of sine precision influence on DOA estimation using the MUSIC algorithm},
  series = {2019 20th International Radar Symposium (IRS)},
  booktitle = {2019 20th International Radar Symposium (IRS)},
  isbn      = {978-3-7369-9860-5},
  doi       = {10.23919/IRS.2019.8768162},
  pages     = {1 -- 10},
  year      = {2019},
  language  = {en}
}