@inproceedings{30331,
  author       = {{Keuck, Lukas and Munir, A and Schafmeister, Frank and Böcker, Joachim}},
  booktitle    = {{Proc. IEEE International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management (PCIM)}},
  location     = {{Nuremberg, Germany}},
  publisher    = {{IEEE}},
  title        = {{{Adaptive Frequency Control of DC-DC-Converters for Maximum Efficiency Using Artificial Neural Network}}},
  year         = {{2018}},
}

@inproceedings{30332,
  author       = {{Keuck, Lukas and Jabbar, Noman and Schafmeister, Frank and Böcker, Joachim}},
  booktitle    = {{Proc. 20th European Conference on Power Electronics and Applications (EPE-ECCE Europe)}},
  location     = {{Riga, Latvia}},
  pages        = {{1 -- 10}},
  publisher    = {{EPE}},
  title        = {{{Switching Loss Characterization of Wide Band-Gap Devices by an Indirect Identification Methodology}}},
  year         = {{2018}},
}

@inproceedings{30333,
  author       = {{Hagemeyer, Marc and Schafmeister, Frank and Böcker, Joachim}},
  booktitle    = {{Proc. International Conference on Electrical Machines and Systems (ICEMS)}},
  location     = {{Jeju, South-Korea}},
  pages        = {{2316 -- 2321}},
  publisher    = {{Korea IEE & IEE Japan}},
  title        = {{{Coupled Inductor Design for Interleaved High-Current DC-DC Converters}}},
  year         = {{2018}},
}

@article{29624,
  author       = {{Hanke, Sören and Peitz, Sebastian and Wallscheid, Oliver and Klus, Stefan and Böcker, Joachim and Dellnitz, Michael}},
  journal      = {{arXiv preprint arXiv:1804.00854}},
  title        = {{{Koopman Operator-Based Finite-Control-Set Model Predictive Control for Electrical Drives}}},
  year         = {{2018}},
}

@inproceedings{30631,
  author       = {{Hagemeyer, Marc and Fröhleke, Norbert and Böcker, Joachim and Rödder, Bernd and Aßmann, Lars and Völkel, Bernd}},
  booktitle    = {{2017 IEEE 12th International Conference on Power Electronics and Drive Systems (PEDS)}},
  publisher    = {{IEEE}},
  title        = {{{Design of a flywheel energy storage system for high current pulsating loads}}},
  doi          = {{10.1109/peds.2017.8289157}},
  year         = {{2018}},
}

@phdthesis{29972,
  author       = {{Stille, Karl Stephan Christian}},
  isbn         = {{9783662563977}},
  issn         = {{2523-3637}},
  publisher    = {{Springer Berlin Heidelberg}},
  title        = {{{Energiemanagement von Haushaltsgroßgeräten}}},
  doi          = {{10.1007/978-3-662-56398-4}},
  year         = {{2018}},
}

@phdthesis{30636,
  abstract     = {{	Begrenzte Vorräte fossiler Energiequellen beeinflussen die individuelle Mobilität von heute und morgen. Eine Schlüsseltechnologie, um dieses Energieproblem zu lösen, ist das batteriebetriebene Elektrofahrzeug (BEV). Der „Flaschenhals“ des BEV in Bezug auf Reichweite und Kosten pro Kapazität ist die Batterie. Diese Arbeit beschreibt die Entwicklung eines Fahrzeugenergiemanagements für ein BEV zur Reduzierung dieses „Flaschenhalses“. Das heißt im speziellen diskutiert sie eine neuartige Lastmanagementstrategie: Diese soll die Energieverluste am Innenwiderstand der Traktionsbatterie reduzieren, um so die Reichweite pro installierter Batterie-Kapazität zu erhöhen. Dafür soll das Lastmanagement den Batteriestrom glätten, es verhält sich also wie ein „virtueller Kondensator“. Die Stromschwankungen um den Mittelwert des Batteriestroms werden reduziert, indem die einzelnen Lasten balanciert werden. Die reduzierte Belastung der Batterie, durch Reduzierung von Spitzenströmen und Stromschwankungen im Allgemeinen, könnte die Lebensdauer der Batterie erhöhen und zu weniger restriktiven Anforderung an die Leistungsdichte der Batterie führen, zum Vorteil einer höheren Energiedichte (diese wiederum bedeutet eine höhere Reichweite oder niedrigere Batterie-Kosten). Um einen geglätteten Batteriestrom zu erreichen, wurde eine neuartige Entwurfsmethodik entwickelt. Dabei kommt die Methode der „Quantitative Feedback Theory“ zum Einsatz, für den Entwurf eines robust-stabilen MIMO-Reglers in der Gegenwart von parametrischen Unsicherheiten und Nichtlinearitäten der Regelstrecke. Im Prototypen-Fahrzeug beeinflusst der MIMO-Regler die elektrische Heizung zur Erwärmung der Fahrgastzelle, sowie die größte elektrische Last: den Antriebsstrang selbst. Theoretisch wird eine Reichweitenerhöhung von bis zu 3,462 % im Prototypen erreicht. Während die Heizung für die Beeinflussung prädestiniert ist, aufgrund der hohen Zeitkonstante zur Erwärmung der Fahrgastzelle, ist demgegenüber der Einfluss auf den Antriebsstrang kritisch in Bezug auf die Fahrerakzeptanz. Daher muss der Einfluss der Funktion auf ein Maß beschränkt sein, das der Fahrer akzeptiert. Dies wird mit einer Fahrerakzeptanzstudie untermauert. }},
  author       = {{Masjosthusmann, C.}},
  isbn         = {{978-3-8440-6047-8}},
  title        = {{{Ein neuartiger Ansatz der robusten Regelung für das Lastmanagement in batteriebetriebenen Elektrofahrzeugen}}},
  doi          = {{10.2370/9783844060478}},
  year         = {{2018}},
}

@phdthesis{30635,
  author       = {{Bach-Preckwinkel, H.}},
  title        = {{{Zentralwechselrichter in der Photovoltaik}}},
  doi          = {{10.17619/UNIPB/1-283}},
  year         = {{2018}},
}

@phdthesis{30857,
  author       = {{Tao, J.}},
  title        = {{{Half-Cycle-Sampled Discrete Model of Series-Parallel Resonant Converter with Optimized Modulation and Its Control Design}}},
  doi          = {{10.17619/UNIPB/1-284}},
  year         = {{2018}},
}

@inproceedings{29460,
  abstract     = {{STT-RAM cells can be considered as an alternative or a hybrid addition to today's SRAM-based cache memories. This is mostly because of their scalability and low leakage power. Moreover, their data storing mechanism (storing the value as resistance) makes them very suitable and applicable for multivalue cache architectures. This feature results in system performance enhancement without any area overhead. On the other hand, the required two-step read/write procedure in multilevel cells results in a non-uniform time access and energy and power overhead on the system. In this paper, we propose a new architecture to dynamically swap data between soft (fast read access) and hard (slow read access) bits in ML cell. Moreover, by reconfiguring cache block size, the proposed architecture can switch between ML and SL modes at runtime. In other words, the swapping method places the hot part of each cache block into soft-bits and the less accessed part into the hard-bits. The SL/ML switching method benefits from the low latency and energy of SL mode and the high storing capacity of ML mode at the same time. Although experimental results show that our proposed method slightly increases the miss rate compared with the conventional ML caches, the performance and energy are improved by 4.9% and 6.5%, respectively. Also, the storage overhead of our method is about 1% that is negligible.}},
  author       = {{Rezaeizadeh Rookerd, Ramin and Sadeghi-Kohan, Somayeh and Navabi, Zainalabedin}},
  booktitle    = {{Proceedings of the 2018 on Great Lakes Symposium on VLSI}},
  publisher    = {{ACM}},
  title        = {{{Performance and Energy Enhancement through an Online Single/Multi Level Mode Switching Cache Architecture}}},
  doi          = {{10.1145/3194554.3194599}},
  year         = {{2018}},
}

@inproceedings{30632,
  author       = {{Vogt, Thorsten and Badeda, Julia and Böcker, Joachim and Sauer, Dirk Uwe}},
  booktitle    = {{2017 IEEE 12th International Conference on Power Electronics and Drive Systems (PEDS)}},
  publisher    = {{IEEE}},
  title        = {{{Consideration on primary control reserve provision by industrial microgrids in grid-coupled operation}}},
  doi          = {{10.1109/peds.2017.8289189}},
  year         = {{2018}},
}

@inproceedings{4575,
  author       = {{Sprenger, Alexander and Hellebrand, Sybille}},
  booktitle    = {{2018 IEEE 21st International Symposium on Design and Diagnostics of Electronic Circuits & Systems (DDECS)}},
  isbn         = {{9781538657546}},
  publisher    = {{IEEE}},
  title        = {{{Tuning Stochastic Space Compaction to Faster-than-at-Speed Test}}},
  doi          = {{10.1109/ddecs.2018.00020}},
  year         = {{2018}},
}

@inproceedings{10575,
  author       = {{Liu, Chang and Schneider, Eric and Kampmann, Matthias and Hellebrand, Sybille and Wunderlich, Hans-Joachim}},
  booktitle    = {{27th IEEE Asian Test Symposium (ATS'18)}},
  isbn         = {{9781538694664}},
  title        = {{{Extending Aging Monitors for Early Life and Wear-Out Failure Prevention}}},
  doi          = {{10.1109/ats.2018.00028}},
  year         = {{2018}},
}

@inproceedings{24197,
  abstract     = {{A monolithically integrated coherent receiver in silicon photonic technology is presented along with measurement results for constellation diagrams up to 64GBd and bandwidth of 34 GHz. To our knowledge this is the fastest single-chip coherent receiver.}},
  author       = {{Kress, Christian and Gudyriev, Sergiy and Zwickel, Heiner and Kemal, Juned N. and Lischke, Stefan and Zimmermann, Lars and Koos, Christian and Scheytt, Christoph}},
  booktitle    = {{Optical Fiber Communication Conference 2018, San Diego}},
  location     = {{San Diego, CA, USA }},
  title        = {{{64 GBd Monolithically Integrated Coherent QPSK Single Polarization Receiver in 0.25 µm SiGe-Photonic Technology}}},
  volume       = {{Th4A.6}},
  year         = {{2018}},
}

@inproceedings{24189,
  author       = {{Gudyriev, Sergiy and Kress, Christian and Scheytt, Christoph}},
  booktitle    = {{10th Sino-German Joint Symposium on Opto- and Microelectronic Devices and Circuits (SODC 2018)}},
  publisher    = {{IEEE}},
  title        = {{{Electronic Photonic Integrated Circuits for Coherent and Non-Coherent Receivers}}},
  year         = {{2018}},
}

@inproceedings{24188,
  author       = {{Scheytt, Christoph}},
  booktitle    = {{10th Sino-German Joint Symposium on Opto- and Microelectronic Devices and Circuits (SODC 2018)}},
  publisher    = {{IEEE}},
  title        = {{{Ultra‐broadband Signal Processing by means of Electronic‐Photonic Integration}}},
  year         = {{2018}},
}

@inproceedings{24191,
  author       = {{Gudyriev, Sergiy and Kress, Christian and Scheytt, Christoph}},
  booktitle    = {{DFG Priority Programme SPP2111}},
  title        = {{{Electronic‐Photonic Integrated Systems for Ultrafast Signal Processing}}},
  year         = {{2018}},
}

@inproceedings{29923,
  abstract     = {{This paper introduces a new open source platform for end-toend speech processing named ESPnet. ESPnet mainly focuses on end-to-end automatic speech recognition (ASR), and adopts widely-used dynamic neural network toolkits, Chainer and Py-Torch, as a main deep learning engine. ESPnet also follows the Kaldi ASR toolkit style for data processing, feature extraction/format, and recipes to provide a complete setup for speech recognition and other speech processing experiments. This paper explains a major architecture of this software platform, several important functionalities, which differentiate ESPnet from other open source ASR toolkits, and experimental results with
major ASR benchmarks.}},
  author       = {{Watanabe, Shinji and Hori, Takaaki and Karita, Shigeki and Hayashi, Tomoki and Nishitoba, Jiro and Unno, Yuya and Enrique Yalta Soplin, Nelson and Heymann, Jahn and Wiesner, Matthew and Chen, Nanxin and Renduchintala, Adithya and Ochiai, Tsubasa}},
  booktitle    = {{INTERSPEECH 2018, Hyderabad, India}},
  pages        = {{2207–2211}},
  title        = {{{ESPnet: End-to-End Speech Processing Toolkit}}},
  doi          = {{10.21437/Interspeech.2018-1456}},
  year         = {{2018}},
}

@inproceedings{12899,
  abstract     = {{This contribution presents a speech enhancement system for the CHiME-5 Dinner Party Scenario. The front-end employs multi-channel linear time-variant filtering and achieves its gains without the use of a neural network. We present an adaptation of blind source separation techniques to the CHiME-5 database which we call Guided Source Separation (GSS). Using the baseline acoustic and language model, the combination of Weighted Prediction Error based dereverberation, guided source separation, and beamforming reduces the WER by 10:54% (relative) for the single array track and by 21:12% (relative) on the multiple array track.}},
  author       = {{Boeddeker, Christoph and Heitkaemper, Jens and Schmalenstroeer, Joerg and Drude, Lukas and Heymann, Jahn and Haeb-Umbach, Reinhold}},
  booktitle    = {{Proc. CHiME 2018 Workshop on Speech Processing in Everyday Environments, Hyderabad, India}},
  title        = {{{Front-End Processing for the CHiME-5 Dinner Party Scenario}}},
  year         = {{2018}},
}

@inproceedings{6859,
  abstract     = {{Signal processing in WASNs is based on a software framework for hosting the algorithms as well as on a set of wireless connected devices representing the hardware. Each of the nodes contributes memory, processing power, communication bandwidth and some sensor information for the tasks to be solved on the network. 
In this paper we present our MARVELO framework for distributed signal processing. It is intended for transforming existing centralized implementations into distributed versions. To this end, the software only needs a block-oriented implementation, which MARVELO picks-up and distributes on the network. Additionally, our sensor node hardware and the audio interfaces responsible for multi-channel recordings are presented.}},
  author       = {{Afifi, Haitham and Schmalenstroeer, Joerg and Ullmann, Joerg and Haeb-Umbach, Reinhold and Karl, Holger}},
  booktitle    = {{Speech Communication; 13th ITG-Symposium}},
  pages        = {{1--5}},
  title        = {{{MARVELO - A Framework for Signal Processing in Wireless Acoustic Sensor Networks}}},
  year         = {{2018}},
}