@incollection{IbanezSanchezWolf2020,
  author    = {Ibanez-Sanchez, Gema and Wolf, Martin},
  title     = {Interactive Process Mining-Induced Change Management Methodology for Healthcare},
  series = {Interactive Process Mining in Healthcare},
  booktitle = {Interactive Process Mining in Healthcare},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-030-53993-1 (Online)},
  doi       = {10.1007/978-3-030-53993-1_16},
  pages     = {267 -- 293},
  year      = {2020},
  abstract  = {The adoption of the Digital Health Transformation is a tremendous paradigm change in health organizations, which is not a trivial process in reality. For that reason, in this chapter, it is proposed a methodology with the objective to generate a changing culture in healthcare organisations. Such a change culture is essential for the successful implementation of any supporting methods like Interactive Process Mining. It needs to incorporate (mostly) new ways of team-based and evidence-based approaches for solving structural problems in a digital healthcare environment.},
  language  = {en}
}
@book{Muehl2020,
  author    = {M{\"u}hl, Thomas},
  title     = {Elektrische Messtechnik: Grundlagen, Messverfahren, Anwendungen},
  edition   = {6., {\"u}berarbeitete Auflage},
  publisher = {Springer Vieweg},
  address   = {Wiesbaden},
  isbn      = {978-3-658-29115-0},
  doi       = {10.1007/978-3-658-29116-7},
  pages     = {XVIII, 306 Seiten ; Illustrationen},
  year      = {2020},
  language  = {de}
}
@inproceedings{EltesterFerreinSchiffer2020,
  author    = {Eltester, Niklas Sebastian and Ferrein, Alexander and Schiffer, Stefan},
  title     = {A smart factory setup based on the RoboCup logistics league},
  series = {2020 IEEE Conference on Industrial Cyberphysical Systems (ICPS)},
  booktitle = {2020 IEEE Conference on Industrial Cyberphysical Systems (ICPS)},
  publisher = {IEEE},
  address   = {New York, NY},
  doi       = {10.1109/ICPS48405.2020.9274766},
  pages     = {297 -- 302},
  year      = {2020},
  abstract  = {In this paper we present SMART-FACTORY, a setup for a research and teaching facility in industrial robotics that is based on the RoboCup Logistics League. It is driven by the need for developing and applying solutions for digital production. Digitization receives constantly increasing attention in many areas, especially in industry. The common theme is to make things smart by using intelligent computer technology. Especially in the last decade there have been many attempts to improve existing processes in factories, for example, in production logistics, also with deploying cyber-physical systems. An initiative that explores challenges and opportunities for robots in such a setting is the RoboCup Logistics League. Since its foundation in 2012 it is an international effort for research and education in an intra-warehouse logistics scenario. During seven years of competition a lot of knowledge and experience regarding autonomous robots was gained. This knowledge and experience shall provide the basis for further research in challenges of future production. The focus of our SMART-FACTORY is to create a stimulating environment for research on logistics robotics, for teaching activities in computer science and electrical engineering programmes as well as for industrial users to study and explore the feasibility of future technologies. Building on a very successful history in the RoboCup Logistics League we aim to provide stakeholders with a dedicated facility oriented at their individual needs.},
  language  = {en}
}
@article{FiedlerLaddClemensetal.2020,
  author    = {Fiedler, Thomas M. and Ladd, Mark E. and Clemens, Markus and Bitz, Andreas},
  title     = {Safety of subjects during radiofrequency exposure in ultra-high-field magnetic resonance imaging},
  series = {IEEE Letters on Electromagnetic Compatibility Practice and Applications},
  volume    = {2},
  journal   = {IEEE Letters on Electromagnetic Compatibility Practice and Applications},
  number    = {3},
  publisher = {IEEE},
  address   = {New York, NY},
  isbn      = {2637-6423},
  doi       = {10.1109/LEMCPA.2020.3029747},
  pages     = {1 -- 8},
  year      = {2020},
  abstract  = {Magnetic resonance imaging (MRI) is one of the most important medical imaging techniques. Since the introduction of MRI in the mid-1980s, there has been a continuous trend toward higher static magnetic fields to obtain i.a. a higher signal-to-noise ratio. The step toward ultra-high-field (UHF) MRI at 7 Tesla and higher, however, creates several challenges regarding the homogeneity of the spin excitation RF transmit field and the RF exposure of the subject. In UHF MRI systems, the wavelength of the RF field is in the range of the diameter of the human body, which can result in inhomogeneous spin excitation and local SAR hotspots. To optimize the homogeneity in a region of interest, UHF MRI systems use parallel transmit systems with multiple transmit antennas and time-dependent modulation of the RF signal in the individual transmit channels. Furthermore, SAR increases with increasing field strength, while the SAR limits remain unchanged. Two different approaches to generate the RF transmit field in UHF systems using antenna arrays close and remote to the body are investigated in this letter. Achievable imaging performance is evaluated compared to typical clinical RF transmit systems at lower field strength. The evaluation has been performed under consideration of RF exposure based on local SAR and tissue temperature. Furthermore, results for thermal dose as an alternative RF exposure metric are presented.},
  language  = {en}
}
@article{HueningBackes2020,
  author    = {H{\"u}ning, Felix and Backes, Andreas},
  title     = {Direct observation of large Barkhausen jump in thin Vicalloy wires},
  series = {IEEE Magnetics Letters},
  volume    = {11},
  journal   = {IEEE Magnetics Letters},
  number    = {Art. 2506504},
  publisher = {IEEE},
  address   = {New York, NY},
  isbn      = {1949-307X},
  doi       = {10.1109/LMAG.2020.3046411},
  pages     = {1 -- 4},
  year      = {2020},
  language  = {en}
}
@book{Heuermann2020,
  author    = {Heuermann, Holger},
  title     = {Mikrowellentechnik: Feldsimulation, nichtlineare Schaltungstechnik, Komponenten und Subsysteme, Plasmatechnik, Antennen und Ausbreitung},
  publisher = {Springer Vieweg},
  address   = {Wiesbaden},
  isbn      = {978-3-658-29023-8 (eBook)},
  doi       = {10.1007/978-3-658-29023-8},
  pages     = {Online-Ressource (XIV, 385 S. 374 Abb., 22 Abb. in Farbe)},
  year      = {2020},
  language  = {de}
}
@inproceedings{ElgamalHeuermann2020,
  author    = {Elgamal, Abdelrahman and Heuermann, Holger},
  title     = {Design and Development of a Hot S-Parameter Measurement System for Plasma and Magnetron Applications},
  series = {Proceedings of the 2020 German Microwave Conference},
  booktitle = {Proceedings of the 2020 German Microwave Conference},
  publisher = {IEEE},
  address   = {New York, NY},
  isbn      = {978-3-9820397-1-8},
  pages     = {124 -- 127},
  year      = {2020},
  abstract  = {This paper presents the design, development and calibration procedures of a novel hot S-parameter measurement system for plasma and magnetron applications with power level up to 6 kW. Based on a vector network analyzer, a power amplifier and two directional couplers, the input matching hotS 11 and transmission hotS 21 of the device under test are measured at 2.45 GHz center frequency and 300MHz bandwidth, while the device is driven by the magnetron. This measurement system opens a new horizon to develop many new industrial applications such as microwave plasma jets, dryer systems, dryers and so forth. Furthermore, the developing, controlling and monitoring a 2kW 2.45GHz plasma jet and a dryer system using the measurement system are presented and explained.},
  language  = {en}
}
@inproceedings{KirschMatareFerreinetal.2020,
  author    = {Kirsch, Maximilian and Matar{\´e}, Victor and Ferrein, Alexander and Schiffer, Stefan},
  title     = {Integrating golog++ and ROS for Practical and Portable High-level Control},
  series = {Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 2},
  booktitle = {Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 2},
  publisher = {SciTePress},
  address   = {Set{\´u}bal, Portugal},
  doi       = {10.5220/0008984406920699},
  pages     = {692 -- 699},
  year      = {2020},
  abstract  = {The field of Cognitive Robotics aims at intelligent decision making of autonomous robots. It has matured over the last 25 or so years quite a bit. That is, a number of high-level control languages and architectures have emerged from the field. One concern in this regard is the action language GOLOG. GOLOG has been used in a rather large number of applications as a high-level control language ranging from intelligent service robots to soccer robots. For the lower level robot software, the Robot Operating System (ROS) has been around for more than a decade now and it has developed into the standard middleware for robot applications. ROS provides a large number of packages for standard tasks in robotics like localisation, navigation, and object recognition. Interestingly enough, only little work within ROS has gone into the high-level control of robots. In this paper, we describe our approach to marry the GOLOG action language with ROS. In particular, we present our architecture on inte grating golog++, which is based on the GOLOG dialect Readylog, with the Robot Operating System. With an example application on the Pepper service robot, we show how primitive actions can be easily mapped to the ROS ActionLib framework and present our control architecture in detail.},
  language  = {en}
}
@article{HueningDeMatteis2020,
  author    = {H{\"u}ning, Felix and De Matteis, Stefan},
  title     = {Entwicklung eines taktilen HMI f{\"u}r sehbehinderte und blinde Nutzerinnen und Nutzer},
  series = {Blind - sehbehindert},
  volume    = {140},
  journal   = {Blind - sehbehindert},
  number    = {2},
  publisher = {Edition Bentheim},
  address   = {W{\"u}rzburg},
  issn      = {0176-7836},
  pages     = {9 -- 19},
  year      = {2020},
  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}
}