@article{27996, author = {{van Ophuysen, Stefanie and Behrmann, Lars and Bloh, Bea and Homt, Martina and Schmidt, Jennifer}}, journal = {{Journal for Educational Research Online}}, number = {{2}}, pages = {{276--305}}, publisher = {{Waxmann}}, title = {{{Die universitäre Vorbereitung angehender Lehrkräfte auf Forschendes Lernen im schulischen Berufsalltag}}}, volume = {{9}}, year = {{2017}}, } @book{28021, author = {{van Ophuysen, Stefanie and Bloh, Bea and Gehrau, Volker}}, isbn = {{9783838548623}}, title = {{{Die Beobachtung als Methode in der Erziehungswissenschaft}}}, doi = {{10.36198/9783838548623}}, year = {{2017}}, } @article{6606, author = {{Scheer, David and Laubenstein, Désirée and Lindmeier, Christian and Guthöhrlein, Kirsten and Sponholz, Dirk}}, journal = {{Zeitschrift für Inklusion-Online, Nr. 2}}, number = {{2}}, title = {{{Rheinland-Pfalz: Ein Bundesland auf dem Weg zu schulischer Inklusion?}}}, year = {{2017}}, } @inproceedings{23562, author = {{Gräßler, Iris and Scholle, Philipp and Pottebaum, Jens}}, booktitle = {{Proceedings of the 21st International Conference on Engineering Design (ICED 17), Nr. DS 87}}, editor = {{Maier, Anja and Skec, Stanko and McKesson, Chris and Van der Loos, Mike}}, pages = {{261--270}}, publisher = {{Design Society}}, title = {{{ Integrated process and data model for applying scenario-technique in requirements engineering}}}, year = {{2017}}, } @inproceedings{23557, author = {{Pottebaum, Jens and Scholle, Philipp and Gräßler, Iris}}, booktitle = {{INFORMATIK 2017. Gesellschaft für Informatik, Lecture Notes in Informatics (LNI), Band P-275}}, editor = {{Eibl, M. and Gaedke, M.}}, pages = {{1339--1352}}, publisher = {{Gesellschaft für Informatik, Köllen Verlag}}, title = {{{Vorgehens- und Datenmodell zur strategischen Planung innovativer Dienstleistungen im Katastrophenschutz}}}, volume = {{P-275}}, year = {{2017}}, } @inproceedings{24064, author = {{Schafer, Christina and Sauerland, Torben and Pottebaum, Jens and Marterer, Robin and Behnke, Daniel and Wietfeld, Christian and Gray, Peter and Despotov, Bogdan}}, booktitle = {{2017 Annual IEEE International Systems Conference, SysCon 2017, Montreal, QC, Canada, April 24-27, 2017}}, isbn = {{978-1-5090-4623-2}}, keywords = {{Ver{\}}, pages = {{1--7}}, publisher = {{IEEE}}, title = {{{Cloud-based semantic services for pan-European emergency preparation and planning}}}, doi = {{10.1109/SYSCON.2017.7934747}}, year = {{2017}}, } @inproceedings{24041, author = {{Pottebaum, Jens and Deppe, Gereon and Lindemann, Christian-Friedrich and Koch, Rainer}}, booktitle = {{Aviation in Europe}}, editor = {{Kn{\"o}rzer, Dietrich and Warsop, Clyde and Diaconescu, Ciprian and Sanfourche, Jean-Pierre}}, isbn = {{978-92-79-59141-9}}, pages = {{547--557}}, publisher = {{{European Commission}}}, title = {{{Additive Manufacturing for Future Repair and Maintenance for the Aerospace Industry}}}, year = {{2017}}, } @inproceedings{23574, author = {{Gräßler, Iris and Pottebaum, Jens and Scholle, Philipp}}, booktitle = {{11th International Workshop on Integrated Design Engineering, 2017}}, editor = {{Vajna, Sandor}}, title = {{{Integrated Process and Data Model for Agile Strategic Planning}}}, year = {{2017}}, } @inproceedings{23573, author = {{Gräßler, Iris and Taplick, Patrick and Pottebaum, Jens}}, booktitle = {{SCIFI-IT 2017}}, pages = {{19--26}}, publisher = {{EUROSIS-ETI}}, title = {{{Enhancing Innovation Processes by Disruptive Technologies}}}, year = {{2017}}, } @inproceedings{11763, abstract = {{In this paper, we apply a high-resolution approach, i.e. the matrix pencil method (MPM), to the FMCW automotive radar system to separate the neighboring targets, which share similar parameters, i.e. range, relative speed and azimuth angle, and cause overlapping in the radar spectrum. In order to adapt the 1D model of MPM to the 2D range-velocity spectrum and simultaneously limit the computational cost, some preprocessing steps are proposed to construct a novel separation algorithm. Finally, this algorithm is evaluated in both simulation and real data, and the results indicate a promising performance.}}, author = {{Fei, Tai and Grimm, Christopher and Farhoud, Ridha and Breddermann, Tobias and Warsitz, Ernst and Haeb-Umbach, Reinhold}}, booktitle = {{IEEE International conference on microwave, communications, anthenas and electronic systems}}, title = {{{A Novel Target Separation Algorithm Applied to The Two-Dimensional Spectrum for FMCW Automotive Radar Systems}}}, year = {{2017}}, } @inproceedings{11772, abstract = {{In this paper, we present a hypothesis test for the classification of moving targets in the sight of an automotive radar sensor. For this purpose, a statistical model of the relative velocity between a stationary target and the radar sensor has been developed. With respect to the statistical properties a confidence interval is calculated and targets with relative velocity lying outside this interval are classified as moving targets. Compared to existing algorithms our approach is able to give robust classification independent of the number of observed moving targets and is characterized by an instantaneous classification, a simple parameterization of the model and an automatic calculation of the discriminating threshold.}}, author = {{Grimm, Christopher and Breddermann, Tobias and Farhoud, Ridha and Fei, Tai and Warsitz, Ernst and Haeb-Umbach, Reinhold}}, booktitle = {{IEEE International conference on microwave, communications, anthenas and electronic systems (COMCAS)}}, title = {{{Hypothesis Test for the Detection of Moving Targets in Automotive Radar}}}, year = {{2017}}, } @inproceedings{11759, abstract = {{Variational Autoencoders (VAEs) have been shown to provide efficient neural-network-based approximate Bayesian inference for observation models for which exact inference is intractable. Its extension, the so-called Structured VAE (SVAE) allows inference in the presence of both discrete and continuous latent variables. Inspired by this extension, we developed a VAE with Hidden Markov Models (HMMs) as latent models. We applied the resulting HMM-VAE to the task of acoustic unit discovery in a zero resource scenario. Starting from an initial model based on variational inference in an HMM with Gaussian Mixture Model (GMM) emission probabilities, the accuracy of the acoustic unit discovery could be significantly improved by the HMM-VAE. In doing so we were able to demonstrate for an unsupervised learning task what is well-known in the supervised learning case: Neural networks provide superior modeling power compared to GMMs.}}, author = {{Ebbers, Janek and Heymann, Jahn and Drude, Lukas and Glarner, Thomas and Haeb-Umbach, Reinhold and Raj, Bhiksha}}, booktitle = {{INTERSPEECH 2017, Stockholm, Schweden}}, title = {{{Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery}}}, year = {{2017}}, } @inproceedings{11895, abstract = {{Multi-channel speech enhancement algorithms rely on a synchronous sampling of the microphone signals. This, however, cannot always be guaranteed, especially if the sensors are distributed in an environment. To avoid performance degradation the sampling rate offset needs to be estimated and compensated for. In this contribution we extend the recently proposed coherence drift based method in two important directions. First, the increasing phase shift in the short-time Fourier transform domain is estimated from the coherence drift in a Matched Filterlike fashion, where intermediate estimates are weighted by their instantaneous SNR. Second, an observed bias is removed by iterating between offset estimation and compensation by resampling a couple of times. The effectiveness of the proposed method is demonstrated by speech recognition results on the output of a beamformer with and without sampling rate offset compensation between the input channels. We compare MVDR and maximum-SNR beamformers in reverberant environments and further show that both benefit from a novel phase normalization, which we also propose in this contribution.}}, author = {{Schmalenstroeer, Joerg and Heymann, Jahn and Drude, Lukas and Boeddeker, Christoph and Haeb-Umbach, Reinhold}}, booktitle = {{IEEE 19th International Workshop on Multimedia Signal Processing (MMSP)}}, title = {{{Multi-Stage Coherence Drift Based Sampling Rate Synchronization for Acoustic Beamforming}}}, year = {{2017}}, } @inproceedings{11773, abstract = {{In this paper we present an algorithm for the detection of moving targets in sight of an automotive radar sensor which can handle distorted ego-velocity information. In situations where biased or none velocity information is provided from the ego-vehicle, the algorithm is able to estimate the ego-velocity based on previously detected stationary targets with high accuracy, subsequently used for the target classification. Compared to existing ego-velocity algorithms our approach provides fast and efficient inference without sacrificing the practical classification accuracy. Other than that the algorithm is characterized by simple parameterization and little but appropriate model assumptions for high accurate production automotive radar sensors.}}, author = {{Grimm, Christopher and Farhoud, Ridha and Fei, Tai and Warsitz, Ernst and Haeb-Umbach, Reinhold}}, booktitle = {{IEEE Microwaves, Radar and Remote Sensing Symposium (MRRS)}}, title = {{{Detection of Moving Targets in Automotive Radar with Distorted Ego-Velocity Information}}}, year = {{2017}}, } @article{33413, author = {{Kißling, Magdalena}}, journal = {{Acta Germanica}}, pages = {{105--118}}, publisher = {{Frankfurt am Main: Peter Lang Verlag }}, title = {{{Iphigenie als Ikone weißer Weiblichkeit. Schauplatz der Kulturen in Goethes Iphigenie auf Tauris}}}, volume = {{45}}, year = {{2017}}, } @article{50876, author = {{Blank, Andreas}}, journal = {{History of European Ideas}}, number = {{3}}, pages = {{401--415}}, title = {{{“Common Usage, Presumption and Verisimilitude in Sixteenth-Century Theories of Juridical Interpretation.” }}}, volume = {{43}}, year = {{2017}}, } @article{50875, author = {{Blank, Andreas}}, journal = {{British Journal for the History of Philosophy}}, number = {{6}}, pages = {{1116--1137}}, title = {{{“D’Holbach on Self-Esteem and the Moral Economy of Oppression.” }}}, volume = {{25}}, year = {{2017}}, } @inbook{50941, author = {{Blank, Andreas}}, booktitle = {{Harmonie und Realität. Beiträge zu Leibniz’ später Philosophie. }}, editor = {{Leinkauf, Thomas and Meier-Oeser, Stefan}}, pages = {{161--177}}, publisher = {{Steiner}}, title = {{{“Ontologie und Metaphilosophie in Leibniz’ Mühlenargument.” }}}, year = {{2017}}, } @article{4703, abstract = {{Investments with exit flexibility require decisions regarding both the investment and holding period. Because selling an investment often leads to taxable capital gains, which crucially depend on the duration of an investment, we investigate the impact of capital gains taxation on exit timing under different tax systems. We observed that capital gains taxation delays exit decisions but loses its decision relevance for very long holdings. Often the optimal exit time, which indicates the maximal present value of future cashflows, cannot be determined analytically. However, we identify the breakeven exit time that guarantees present values exceeding those of an immediate sale. While, after-taxes, an immediate sale is often optimal, long holding periods might also be attractive for investors depending on the degree of income and corporate tax integration. A classic corporate tax system often indicates holdings over more than 100 periods. By contrast, a shareholder relief system indicates the earliest breakeven exit time and thus the highest level of exit timing flexibility. Surprisingly, high retention rates are likely to accelerate sales under a classic corporate system. Additionally, the worst exit time, which should be avoided by investors, differs tremendously across tax systems. For an integrated tax system with full imputation, the worst time is reached earlier than under partial or non-integrated systems. These results could help to predict investors’ behavior regarding changes in capital gains taxation and thus are of interest for both investors and tax policymakers. Furthermore, the results emphasize the need to control for the underlying tax system in cross-country empirical studies.}}, author = {{Hegemann, Annika and Kunoth, Angela and Rupp, Kristina and Sureth-Sloane, Caren}}, journal = {{Review of Managerial Science}}, number = {{3}}, pages = {{571--603}}, title = {{{Hold or Sell? How Capital Gains Taxation Affects Holding Decisions}}}, doi = {{10.1007/s11846-016-0197-9 }}, volume = {{11}}, year = {{2017}}, } @article{50877, author = {{Blank, Andreas}}, journal = {{Hungarian Philosophical Review}}, number = {{1}}, pages = {{7--22}}, title = {{{“Protestant Natural Philosophy and the Question of Emergence, 1540–1610.” }}}, volume = {{61}}, year = {{2017}}, }