@inbook{29950,
  author       = {{Temmen, Katrin and Kersten, Peter and Schäfer, Dominik}},
  booktitle    = {{Mobility for Smart Cities and Regional Development - Challenges for Higher Education}},
  isbn         = {{9783030939069}},
  issn         = {{2367-3370}},
  location     = {{Dresden}},
  pages        = {{784--791}},
  publisher    = {{Springer International Publishing}},
  title        = {{{Work-in-Progress: The Potential of Interactive Scripts – Supporting Conceptual Understanding and Collaborative Problem-Solving Skills}}},
  doi          = {{10.1007/978-3-030-93907-6_85}},
  volume       = {{390}},
  year         = {{2022}},
}

@inproceedings{30844,
  author       = {{Huber, Jonas and Wallmeier, Peter and Pieper, Ralf and Schafmeister, Frank and Kolar, Johann}},
  booktitle    = {{Proc. 9th IEEJ International Power Electronics Conference (IPEC)}},
  location     = {{Himeji, Japan}},
  publisher    = {{IEE Japan}},
  title        = {{{Comparative Evaluation of MVAC-LVDC SST and Hybrid Transformer Concepts for Future Datacenters}}},
  year         = {{2022}},
}

@inproceedings{6590,
  author       = {{Nicolai, Marcel and Zeipert, Henning and Lugovtsova, Yevgeniya and Bulling, Jannis and Johannesmann, Sarah and Prager, Jens and Henning, Bernd}},
  booktitle    = {{Fortschritte der Akustik - DAGA 2022}},
  location     = {{Stuttgart}},
  pages        = {{1394--1397}},
  title        = {{{Quantification of the adhesive coupling of layered structures using guided ultrasonic waves}}},
  year         = {{2022}},
}

@inproceedings{32334,
  abstract     = {{The market for microinverters is growing, especially in Europe. Driven by the strongly rising prices for electricity, many small photovoltaic energy systems are being installed. Since monitoring for these plants is often quite costly, their yields are often not logged. Since 2014, microinverters have been studied at the University of Paderborn. The investigations are divided into indoor and outdoor tests. In the indoor area conversion efficiencies as a function of load have been measured with high accuracy and ranked according to Euro- and CEC weightings. In the outdoor laboratory, the behavior in the real world is tested. Energy yields have been measured outdoors via identical and calibrated crystalline silicon PV modules. Here, the investigations were carried out with modules of the power of 215 Wp until the year 2020. Because of the increasing module power nowadays, modules with an output of 360 Wp are now being used. To assess the influence of PV module size, two extremes have been investigated: A rather small module with 215 Wp - as it has been used 10 years ago, and a brand-new module (2021) offering 360 Wp. Both types of modules contain 60 solar cells in series connection. Appling the low-power modules, the challenge for the different micro-inverters has been during weak-light conditions, using the high-power modules, some inverters temporarily reach their power limits and yield is reduced. A method using a reference configuration of inverter & module and a linear equation resulting in the actual yield, any module & inverter configuration can be characterized by just the two coefficients.}},
  author       = {{Krauter, Stefan and Bendfeld, Jörg and Möller, Marius Claus}},
  booktitle    = {{Proceedings of the 49th IEEE Photovoltaic Specialists Conference}},
  location     = {{Philadelphia, PA, USA}},
  title        = {{{Microinverter testing update using high power modules: Efficiency, yield, and conformity to a new ”estimation formula” for variation of PV panel size}}},
  year         = {{2022}},
}

@inproceedings{32333,
  abstract     = {{This paper provides a hybrid energy system model created in Matlab/Simulink which is based on photovoltaics as its main energy source. The model includes a hybrid energy storage which consists of a short-term lithium-ion battery and hydrogen as long-term storage to ensure autonomy even during periods of low PV production (e.g., in winter). The sectors heat and electricity are coupled by using the waste-heat generated by production and reconversion of hydrogen through an electrolyser respectively a fuel cell. A heat pump has been considered to cover the residual heat demand (for well insulated homes). Within this paper a model of the space heating system as well as the hot water heating system is presented. The model is designed for the simulation and analysis of a whole year energy flow by using a time series of loads, weather and heat profiles as input. Moreover, results of the energy balance within the energy system by simulation of a complete year by varying the orientation (elevation and azimuth) of the PV system and the component sizing, such as the lithium-ion battery capacity, are presented. It turned out that a high amount of heating energy can be saved by using the waste heat generated by the electrolyser and the fuel cell. The model is well suited for the analysis of the effects of different component dimensionings in a hydrogen-based energy system via the overall energy balance within the residential sector.}},
  author       = {{Möller, Marius Claus and Krauter, Stefan}},
  booktitle    = {{Proceedings of the 49th IEEE Photovoltaic Specialists Conference}},
  location     = {{Philadelphia, PA, USA}},
  title        = {{{Model of a Self-Sufficient PV Home using a Hybrid Storage System based on Li-Ion Batteries and Hydrogen Storage with Waste Heat Utilization }}},
  year         = {{2022}},
}

@article{30262,
  abstract     = {{In this paper, a model of a hybrid, hydrogen-based energy system for a household which includes the heating sector is presended. With such an energy system it's possible to enable energy autarky over a whole year based on solar energy. The scope of this study was to present a verified hybrid energy system model created in Simulink which can be used to prospectively size future similar energy systems where hydrogen in combination with a li-ion battery shall be used as energy storage type.}},
  author       = {{Möller, Marius Claus and Krauter, Stefan}},
  issn         = {{1996-1073}},
  journal      = {{Energies / Special Issue "Sustainable Energy Concepts for Energy Transition"}},
  publisher    = {{MDPI / Basel, Switzerland}},
  title        = {{{Hybrid Energy System Model in Matlab/Simulink based on Solar Energy, Lithium-Ion Battery and Hydrogen}}},
  doi          = {{10.3390/en15062201}},
  volume       = {{15 (6), 2201}},
  year         = {{2022}},
}

@misc{6561,
  author       = {{Hetkämper, Tim}},
  title        = {{{Visualisierung von Ultraschallfeldern mittels Schlierentechnik und fraktionaler Fouriertransformation}}},
  year         = {{2022}},
}

@misc{6592,
  author       = {{Claes, Leander}},
  title        = {{{Messverfahren für die akustische Absorption zur Bestimmung der Volumenviskosität}}},
  year         = {{2022}},
}

@inproceedings{34140,
  abstract     = {{In this paper, machine learning techniques will be used to classify different PCB layouts given their electromagnetic frequency spectra. These spectra result from a simulated near-field measurement of electric field strengths at different locations. Measured values consist of real and imaginary parts (amplitude and phase) in X, Y and Z directions. Training data was obtained in the time domain by varying transmission line geometries (size, distance and signaling). It was then transformed into the frequency domain and used as deep neural network input. Principal component analysis was applied to reduce the sample dimension. The results show that classifying different designs is possible with high accuracy based on synthetic data. Future work comprises measurements of real, custom-made PCB with varying parameters to adapt the simulation model and also test the neural network. Finally, the trained model could be used to give hints about the error’s cause when overshooting EMC limits.}},
  author       = {{Maalouly, Jad and Hemker, Dennis and Hedayat, Christian and Rückert, Christian and Kaufmann, Ivan and Olbrich, Marcel and Lange, Sven and Mathis, Harald}},
  booktitle    = {{2022 Kleinheubach Conference}},
  keywords     = {{emc, pcb, electronic system development, machine learning, neural network}},
  location     = {{Miltenberg, Germany}},
  publisher    = {{IEEE}},
  title        = {{{AI Assisted Interference Classification to Improve EMC Troubleshooting in Electronic System Development}}},
  year         = {{2022}},
}

@inproceedings{34155,
  author       = {{Krauter, Stefan and Bendfeld, Jörg}},
  booktitle    = {{Proceedings of the 8th World Conference on Photovoltaik Energy Conversion}},
  location     = {{Milano / Italy}},
  title        = {{{Microinverter PV Systems: New Efficiency Rankings and Formula for Energy Yield Assessment for any PV Panel Size at different Microinverter types}}},
  year         = {{2022}},
}

@inproceedings{34156,
  author       = {{Kakande, Josephine Nakato and Philipo, Godiana Hagile and Krauter, Stefan}},
  booktitle    = {{Proceedings of the 8th World Conference on Photovoltaik Energy Conversion}},
  location     = {{Milano / Italy}},
  title        = {{{Optimal Design of a Semi Grid-Connected PV System for a Site in Lwak, Kenya Using HOMER}}},
  year         = {{2022}},
}

@article{33669,
  abstract     = {{Far-field multi-speaker automatic speech recognition (ASR) has drawn increasing attention in recent years. Most existing methods feature a signal processing frontend and an ASR backend. In realistic scenarios, these modules are usually trained separately or progressively, which suffers from either inter-module mismatch or a complicated training process. In this paper, we propose an end-to-end multi-channel model that jointly optimizes the speech enhancement (including speech dereverberation, denoising, and separation) frontend and the ASR backend as a single system. To the best of our knowledge, this is the first work that proposes to optimize dereverberation, beamforming, and multi-speaker ASR in a fully end-to-end manner. The frontend module consists of a weighted prediction error (WPE) based submodule for dereverberation and a neural beamformer for denoising and speech separation. For the backend, we adopt a widely used end-to-end (E2E) ASR architecture. It is worth noting that the entire model is differentiable and can be optimized in a fully end-to-end manner using only the ASR criterion, without the need of parallel signal-level labels. We evaluate the proposed model on several multi-speaker benchmark datasets, and experimental results show that the fully E2E ASR model can achieve competitive performance on both noisy and reverberant conditions, with over 30% relative word error rate (WER) reduction over the single-channel baseline systems.}},
  author       = {{Zhang, Wangyou and Chang, Xuankai and Boeddeker, Christoph and Nakatani, Tomohiro and Watanabe, Shinji and Qian, Yanmin}},
  issn         = {{Print ISSN: 2329-9290 Electronic ISSN: 2329-9304}},
  journal      = {{IEEE/ACM Transactions on Audio, Speech, and Language Processing}},
  title        = {{{End-to-End Dereverberation, Beamforming, and Speech Recognition in A Cocktail Party}}},
  doi          = {{10.1109/TASLP.2022.3209942}},
  year         = {{2022}},
}

@article{34533,
  author       = {{Brosch, Anian and Wallscheid, Oliver and Böcker, Joachim}},
  journal      = {{IEEE Transactions on Power Electronics}},
  keywords     = {{Electrical and Electronic Engineering}},
  publisher    = {{Institute of Electrical and Electronics Engineers (IEEE)}},
  title        = {{{Model Predictive Torque Control for Permanent Magnet Synchronous Motors Using a Stator-Fixed Harmonic Flux Reference Generator in the Entire Modulation Range}}},
  doi          = {{10.1109/tpel.2022.3229619}},
  year         = {{2022}},
}

@inproceedings{29302,
  abstract     = {{This paper introduces the project Scale4Edge. The project is focused on enabling an effective RISC-V ecosystem for optimization of edge applications. We describe the basic components of this ecosystem and introduce the envisioned
demonstrators, which will be used in their evaluation.}},
  author       = {{Ecker, Wolfgang and Adelt, Peer and Müller, Wolfgang and Heckmann, Reinhold and Krstic, Milos and Herdt, Vladimir and Drechsler, Rolf and Angst, Gerhard and Wimmer, Ralf and Mauderer, Andreas and Stahl, Rafael and Emrich, Karsten and Mueller-Gritschneder, Daniel and Becker, Bernd and Scholl, Philipp and Jentzsch, Eyck and Schlamelcher, Jan and Grüttner, Kim and Bernardo, Paul Palomero and Brinkmann, Oliver and Damian, Mihaela and Oppermann, Julian and Koch, Andreas and Bormann, Jörg and Partzsch, Johannes and Mayr, Christian and Kunz, Wolfgang}},
  booktitle    = {{In Proceedings of the Design Automation and Test Conference and Exhibition (DATE 2022)}},
  title        = {{{The Scale4Edge RISC-V Ecosystem}}},
  year         = {{2022}},
}

@article{29351,
  abstract     = {{Safety-critical systems have to follow extremely high dependability requirements as specified in the standards for automotive, air, and space applications. The required high fault coverage at runtime is usually obtained by a combination of concurrent error detection or correction and periodic tests within rather short time intervals. The concurrent scheme ensures the integrity of computed results while the periodic test has to identify potential aging problems and to prevent any fault accumulation which may invalidate the concurrent error detection mechanism. Such periodic built-in self-test (BIST) schemes are already commercialized for memories and for random logic. The paper at hand extends this approach to interconnect structures. A BIST scheme is presented which targets interconnect defects before they will actually affect the system functionality at nominal speed. A BIST schedule is developed which significantly reduces aging caused by electromigration during the lifetime application of the periodic test.}},
  author       = {{Sadeghi-Kohan, Somayeh and Hellebrand, Sybille and Wunderlich, Hans-Joachim}},
  issn         = {{0923-8174}},
  journal      = {{Journal of Electronic Testing}},
  keywords     = {{Electrical and Electronic Engineering}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Stress-Aware Periodic Test of Interconnects}}},
  doi          = {{10.1007/s10836-021-05979-5}},
  year         = {{2022}},
}

@misc{29890,
  author       = {{Sadeghi-Kohan, Somayeh and Hellebrand, Sybille and Wunderlich, Hans-Joachim}},
  keywords     = {{WORKSHOP}},
  pages        = {{2}},
  publisher    = {{European Workshop on Silicon Lifecycle Management, March 18, 2022}},
  title        = {{{EM-Aware Interconnect BIST}}},
  year         = {{2022}},
}

@article{31574,
  abstract     = {{We model negative polarization, which is observed for planetary regoliths at backscattering, solving a full wave problem of light scattering with a numerically exact Discontinuous Galerkin Time Domain (DGTD) method. Pieces of layers with the bulk packing density of particles close to 0.5 are used. The model particles are highly absorbing and have irregular shapes and sizes larger than the wavelength of light. This represents a realistic analog of low-albedo planetary regoliths. Our simulations confirm coherent backscattering mechanism of the origin of negative polarization. We show that angular profiles of polarization are stabilized if the number of particles in a layer piece becomes larger than ten. This allows application of our approach to the negative polarization modeling for planetary regoliths.}},
  author       = {{Grynko, Yevgen and Shkuratov, Yuriy and Alhaddad, Samer and Förstner, Jens}},
  issn         = {{0019-1035}},
  journal      = {{Icarus}},
  keywords     = {{tet_topic_scattering}},
  pages        = {{115099}},
  publisher    = {{Elsevier BV}},
  title        = {{{Negative polarization of light at backscattering from a numerical analog of planetary regoliths}}},
  doi          = {{10.1016/j.icarus.2022.115099}},
  volume       = {{384}},
  year         = {{2022}},
}

@inproceedings{32796,
  author       = {{Böcker, Joachim}},
  booktitle    = {{2022 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM)}},
  location     = {{Sorrento, Italy}},
  publisher    = {{IEEE}},
  title        = {{{Concept Study of an LLC Converter with Magnetically Resonant Inductor}}},
  doi          = {{10.1109/speedam53979.2022.9842047}},
  year         = {{2022}},
}

@article{6579,
  abstract     = {{An explicit approach using symplectic time integration in conjunction with traditional finite difference spatial derivatives to solve the wave equation in moving media is presented. A simple operator split of this second order wave equation into two coupled first order equations is performed, allowing these split equations to be solved symplectically. Orders of symplectic time integration ranging from first to fourth along with orders of spatial derivatives ranging from second to sixth are explored. The case of cylindrical acoustic spreading in air under a constant velocity in a 2D square structured domain is considered. The variation of the computed time-of-flight, frequency, and wave length are studied with varying grid resolution and the deviations from the analytical solutions are determined. It was found that symplectic time integration interferes with finite difference spatial derivatives higher than second order causing unexpected results. This is actually beneficial for unstructured finite volume tools like OpenFOAM where second order spatial operators are the state-of-the art. Cylindrical acoustic spreading is simulated on an unstructured 2D triangle mesh showing that symplectic time integration is not limited to the spatial discretization paradigm and overcomes the numerical diffusion arising with the in-built numerical methods which hinder wave propagation.}},
  author       = {{Inguva, Venkatesh and Feldmann, Nadine and Claes, Leander and Koturbash, Taras and Hahn-Jose, Thomas and Koutcherov, Vladimir and Kenig, Eugeny}},
  journal      = {{Engineering Reports}},
  title        = {{{An explicit symplectic approach to solving the wave equation in moving media}}},
  doi          = {{10.1002/eng2.12573}},
  year         = {{2022}},
}

@article{33459,
  author       = {{Brosch, Anian and Wallscheid, Oliver and Böcker, Joachim}},
  issn         = {{0885-8993}},
  journal      = {{IEEE Transactions on Power Electronics}},
  keywords     = {{Electrical and Electronic Engineering}},
  publisher    = {{Institute of Electrical and Electronics Engineers (IEEE)}},
  title        = {{{Long-Term Memory Recursive Least Squares Online Identification of Highly Utilized Permanent Magnet Synchronous Motors for Finite-Control-Set Model Predictive Control}}},
  doi          = {{10.1109/tpel.2022.3206598}},
  year         = {{2022}},
}