@book{49053, abstract = {{entstanden am 08.12.2018 in der Ausstellung von Thomas Hirschhorn Never Give Up The Spot - Eintritt frei !! - Alle sind willkommen !!, im Rahmen des Seminars Artsy Fartsy Funnies, Counterculture-Publikationen der 1960er Jahre bis zur Gegenwart, WS 2018, bei Max Schulze an der Akademie der Bildenden Künste in München, nach einem vorangegangenem Besuch im Archive Artist Publications }}, editor = {{Schulze, Max}}, title = {{{No. ISBN 978-3-923244-35-5}}}, year = {{2018}}, } @inproceedings{11747, abstract = {{In this paper, we present a neural network based classification algorithm for the discrimination of moving from stationary targets in the sight of an automotive radar sensor. Compared to existing algorithms, the proposed algorithm can take into account multiple local radar targets instead of performing classification inference on each target individually resulting in superior discrimination accuracy, especially suitable for non rigid objects, like pedestrians, which in general have a wide velocity spread when multiple targets are detected.}}, author = {{Grimm, Christopher and Breddermann, Tobias and Farhoud, Ridha and Fei, Tai and Warsitz, Ernst and Haeb-Umbach, Reinhold}}, booktitle = {{International Conference on Microwaves for Intelligent Mobility (ICMIM) 2018}}, title = {{{Discrimination of Stationary from Moving Targets with Recurrent Neural Networks in Automotive Radar}}}, year = {{2018}}, } @article{49099, author = {{Krebs, Benjamin and Kabst, Rüdiger}}, journal = {{PERSONALquartely}}, title = {{{Erfolgsfaktoren für Inklusion und Diversität in Unternehmen}}}, volume = {{4}}, year = {{2018}}, } @inproceedings{11907, abstract = {{The invention of the Variational Autoencoder enables the application of Neural Networks to a wide range of tasks in unsupervised learning, including the field of Acoustic Unit Discovery (AUD). The recently proposed Hidden Markov Model Variational Autoencoder (HMMVAE) allows a joint training of a neural network based feature extractor and a structured prior for the latent space given by a Hidden Markov Model. It has been shown that the HMMVAE significantly outperforms pure GMM-HMM based systems on the AUD task. However, the HMMVAE cannot autonomously infer the number of acoustic units and thus relies on the GMM-HMM system for initialization. This paper introduces the Bayesian Hidden Markov Model Variational Autoencoder (BHMMVAE) which solves these issues by embedding the HMMVAE in a Bayesian framework with a Dirichlet Process Prior for the distribution of the acoustic units, and diagonal or full-covariance Gaussians as emission distributions. Experiments on TIMIT and Xitsonga show that the BHMMVAE is able to autonomously infer a reasonable number of acoustic units, can be initialized without supervision by a GMM-HMM system, achieves computationally efficient stochastic variational inference by using natural gradient descent, and, additionally, improves the AUD performance over the HMMVAE.}}, author = {{Glarner, Thomas and Hanebrink, Patrick and Ebbers, Janek and Haeb-Umbach, Reinhold}}, booktitle = {{INTERSPEECH 2018, Hyderabad, India}}, title = {{{Full Bayesian Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery}}}, year = {{2018}}, } @article{49130, abstract = {{Die Habilitationsschrift des Psychopathologen Wolfgang Blankenburg thematisiert die ‚Grundstörung‘ in symptomarmen Schizophrenien, die das Korrelat zur ‚natürlichen Selbstverständlichkeit‘ des gesunden Lebensvollzugs darstellt. Für die Phänomenologie Husserlscher Provenienz ist diese von besonderer methodischer und inhaltlicher Bedeutung. Mein Beitrag zeigt auf, wie die Problematik der Selbstverständlichkeit als Kernthema von Husserls Phänomenologie gelesen werden kann, vor welche Herausforderungen sie sowohl die Phänomenologie als auch die Psychopathologie und Psychotherapie stellt und wie sich beide Ansätze wechselseitig befruchten können, d. h. wie durch eine Zusammenschau der Disziplinen die Phänomenologie mit anthropologisch-lebensweltlichen und die Psychopathologie und Psychotherapie um existenzielle Aspekten bereichert werden kann.}}, author = {{Philippi, Martina}}, journal = {{InterCultural Philosophy}}, keywords = {{Alltag, Wolfgang Blankenburg, Erkenntnistheorie, Edmund Husserl, Phänomenologie, Psychopathologie, Selbstverständlichkeit, Weltvertrauen}}, pages = {{58--82}}, title = {{{Der ‚Verlust der natürlichen Selbstverständlichkeit‘ in Phänomenologie und Psychopathologie}}}, doi = {{10.11588/ICP.2018.1.48066}}, volume = {{1}}, year = {{2018}}, } @inbook{49195, author = {{Abdelrahem, Mohammed}}, booktitle = {{Rationalität in der islamischen Theologie I: Die klassische Periode}}, editor = {{El Kaisy-Friemuth, Maha and Hajatpour, Reza and Abdelrahem, Mohammed}}, keywords = {{islamisches Recht, islamische Normenlehre, islamic law, Hanafiten, Hafanafi}}, pages = {{119--131}}, publisher = {{De Gruyter}}, title = {{{Rationalität im islamischen Recht: Die hanafitische Rechtsschule als Beispiel}}}, year = {{2018}}, } @book{42275, editor = {{Abdelrahem, Mohammed and El Kaisy-Friemuth, Maha and Hajatpour, Reza}}, publisher = {{De Gruyter}}, title = {{{Rationalität in der Islamischen Theologie I: Die klassische Periode}}}, volume = {{Band I}}, year = {{2018}}, } @article{47669, author = {{Miggelbrink, Monique}}, journal = {{Zeitschrift für Medienwissenschaft (2/2018), H. 19, Themenschwerpunkt „Klasse“}}, pages = {{62--71}}, title = {{{Von „Idiotenlaternen“ und „Kulturmaschinen“ – klassenspezifische Vermöbelung von Fernsehapparaten in den 1950er/60er-Jahren im interkulturellen Vergleich}}}, year = {{2018}}, } @article{47753, author = {{Bartz, Christina}}, journal = {{Film-Konzepte }}, number = {{50}}, pages = {{52--60}}, title = {{{Tokyo Ga und die Möglichkeiten eines filmischen Erinnerns}}}, volume = {{4}}, year = {{2018}}, } @article{47752, author = {{Bartz, Christina}}, journal = {{Medien- und Kulturforschung H. 9}}, pages = {{13--25}}, title = {{{Der Computer in der Küche}}}, year = {{2018}}, } @article{20588, abstract = {{We have investigated the stacking of self-assembled cubic GaN quantum dots (QDs) grown in Stranski–Krastanov (SK) growth mode. The number of stacked layers is varied to compare their optical properties. The growth is in situ controlled by reflection high energy electron diffraction to prove the SK QD growth. Atomic force and transmission electron microscopy show the existence of wetting layer and QDs with a diameter of about 10 nm and a height of about 2 nm. The QDs have a truncated pyramidal form and are vertically aligned in growth direction. Photoluminescence measurements show an increase of the intensity with increasing number of stacked QD layers. Furthermore, a systematic blue-shift of 120 meV is observed with increasing number of stacked QD layers. This blueshift derives from a decrease in the QD height, because the QD height has also been the main confining dimension in our QDs.}}, author = {{Blumenthal, Sarah and Rieger, Torsten and Meertens, Doris and Pawlis, Alexander and Reuter, Dirk and As, Donat Josef}}, issn = {{0370-1972}}, journal = {{physica status solidi (b)}}, keywords = {{cubic crystals, GaN, molecular beam epitaxy, quantum dots}}, number = {{3}}, pages = {{1600729}}, title = {{{Stacked Self-Assembled Cubic GaN Quantum Dots Grown by Molecular Beam Epitaxy}}}, doi = {{https://doi.org/10.1002/pssb.201600729}}, volume = {{255}}, year = {{2018}}, } @phdthesis{47944, abstract = {{In the context of ferroelectrics spatially resolved Raman spectroscopy is a powerful tool to investigate stoichiometry, defects or the ferroelectric properties, as well as to visualize domain structures or waveguides. Using Raman spectroscopy for investigations requires a throughout understanding of the spectra and underlying mechanisms. For example, in the context of the common nonlinear materials, lithium niobate and potassium titanyl phosphate, no comprehensive understanding of the Raman spectra of the bulk materials is available, while the underlying mechanism of the domain wall contrast in Raman spectroscopy is not well understood. In this work, questions like these have been addressed in terms of systematic experimental investigations in close cooperation with density functional theory. In particular, it was possible to present a complete assignment of all phonons in the lithium niobate system, which serves as the basis for the understanding of the domain wall spectrum. Here, the domain wall spectrum can be explained with regard to microscopic structural effects, such as strains and electric fields, as well as a macroscopic change of selections rules. Both mechanisms are likewise present in the domain wall spectrum, while being present at different length scales. In the context of potassium titanyl phosphate the first throughout Raman investigations of domain structure, waveguides and periodically poled waveguides are presented. In the context of Rb-exchanged waveguides the change in stoichiometry, but also effects of strain are detected. Here, the Raman analysis provides a method to evaluate these effects.}}, author = {{Rüsing, Michael}}, publisher = {{Universitätsbibliothek Paderborn}}, title = {{{In depth Raman analysis of the ferroelectrics KTiOPO4 and LiNbO3: role of domain boundaries and defect}}}, doi = {{10.17619/UNIPB/1-282}}, year = {{2018}}, } @inbook{31144, author = {{Schuster, Britt-Marie and dez nit, Chanst }}, booktitle = {{Sprachwandel im Deutschen}}, editor = {{Czajkowski , Luise and Ulbrich-Bösch, Sabrina and Waldvogel, Christina }}, keywords = {{Fachkommunikation}}, pages = {{241–251}}, publisher = {{de Gruyter}}, title = {{{so pist ein lap. Beobachtungen zum Gebrauch des (generischen) du in historischen Fachtexten}}}, year = {{2018}}, } @inbook{31145, author = {{Schuster, Britt-Marie}}, booktitle = {{Sprachliche Sozialgeschichte des Nationalsozialismus}}, editor = {{Kämper, Heidrun and Schuster, Britt-Marie}}, keywords = {{Kommunikationsgeschichte}}, pages = {{27–53}}, publisher = {{Hempen}}, title = {{{Heterogene Widerstandskulturen zwischen 1933 und 1945 und ihre sprachlichen Praktiken - ein Projekt}}}, year = {{2018}}, } @inbook{48091, author = {{Volgmann, Simone}}, booktitle = {{Anschlüsse eröffnen, Entwicklungen ermöglichen. Qualifizierungsbausteine inklusiv in einer dualisierten Ausbildungsvorbereitung. Reflexionen und Ergebnisse aus dem Forschungs- und Entwicklungsprojekt QBi}}, editor = {{Frehe-Halliwell, Petra and Kremer, H.-Hugo}}, pages = {{21--43}}, title = {{{'Erlebnisorientiertes Lernen' in der beruflichen Bildung - Wie viel Einzug erhält Erleben und Erfahren im Unterricht?}}}, year = {{2018}}, } @inproceedings{46350, abstract = {{The ubiquity of WiFi access points and the sharp increase in WiFi-enabled devices carried by humans have paved the way for WiFi-based indoor positioning and location analysis. Locating people in indoor environments has numerous applications in robotics, crowd control, indoor facility optimization, and automated environment mapping. However, existing WiFi-based positioning systems suffer from two major problems: (1) their accuracy and precision is limited due to inherent noise induced by indoor obstacles, and (2) they only occasionally provide location estimates, namely when a WiFi-equipped device emits a signal. To mitigate these two issues, we propose a novel Gaussian process (GP) model for WiFi signal strength measurements. It allows for simultaneous smoothing (increasing accuracy and precision of estimators) and interpolation (enabling continuous sampling of location estimates). Furthermore, simple and efficient smoothing methods for location estimates are introduced to improve localization performance in real-time settings. Experiments are conducted on two data sets from a large real-world commercial indoor retail environment. Results demonstrate that our approach provides significant improvements in terms of precision and accuracy with respect to unfiltered data. Ultimately, the GP model realizes continuous location sampling with consistently high quality location estimates.}}, author = {{van Engelen, J.E. and van Lier, J.J. and Takes, F.W. and Trautmann, Heike}}, booktitle = {{Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (ECML/PKDD)}}, pages = {{524–540}}, publisher = {{Springer}}, title = {{{Accurate WiFi based indoor positioning with continuous location sampling}}}, year = {{2018}}, } @article{46351, abstract = {{Clustering is an important field in data mining that aims to reveal hidden patterns in data sets. It is widely popular in marketing or medical applications and used to identify groups of similar objects. Clustering possibly unbounded and evolving data streams is of particular interest due to the widespread deployment of large and fast data sources such as sensors. The vast majority of stream clustering algorithms employ a two-phase approach where the stream is first summarized in an online phase. Upon request, an offline phase reclusters the aggregations into the final clusters. In this setup, the online component will idle and wait for the next observation in times where the stream is slow. This paper proposes a new stream clustering algorithm called evoStream which performs evolutionary optimization in the idle times of the online phase to incrementally build and refine the final clusters. Since the online phase would idle otherwise, our approach does not reduce the processing speed while effectively removing the computational overhead of the offline phase. In extensive experiments on real data streams we show that the proposed algorithm allows to output clusters of high quality at any time within the stream without the need for additional computational resources.}}, author = {{Carnein, Matthias and Trautmann, Heike}}, journal = {{Big Data Research}}, pages = {{101–111}}, title = {{{evoStream — Evolutionary Stream Clustering Utilizing Idle Times}}}, doi = {{10.1016/j.bdr.2018.05.005}}, volume = {{14}}, year = {{2018}}, } @article{46353, abstract = {{Incorporating decision makers' preferences is of great significance in multiobjective optimization. Target region-based multiobjective evolutionary algorithms (TMOEAs), aiming at a well-distributed subset of Pareto optimal solutions within the user-provided region(s), are extensively investigated in this paper. An empirical comparison is performed among three TMOEA instantiations: T-NSGA-II, T-SMS-EMOA and T-R2-EMOA. Experimental results show that T-SMS-EMOA has the best overall performance regarding the hypervolume indicator within the target region, while T-NSGA-II is the fastest algorithm. We also compare TMOEAs with other state-of-the-art preference-based approaches, i.e., DF-SMS-EMOA, RVEA, AS-EMOA and R-NSGA-II to show the advantages of TMOEAs. A case study in the mission planning of earth observation satellite is carried out to verify the capabilities of TMOEAs in the real-world application. Experimental results indicate that preferences can improve the searching ability of MOEAs, and TMOEAs can successfully find nondominated solutions preferred by the decision maker.}}, author = {{Li, L and Wang, Y and Trautmann, Heike and Jing, N and Emmerich, M}}, journal = {{Swarm and Evolutionary Computation}}, pages = {{196–215}}, title = {{{Multiobjective evolutionary algorithms based on target region preferences}}}, doi = {{10.1016/j.swevo.2018.02.006}}, volume = {{40}}, year = {{2018}}, } @phdthesis{48222, author = {{Kilsbach, Sebastian}}, publisher = {{Gießener Elektronische Beiträge}}, title = {{{Wortschatzerweiterung in autonomen Erwerbskontexten}}}, year = {{2018}}, } @inproceedings{11838, abstract = {{Distributed sensor data acquisition usually encompasses data sampling by the individual devices, where each of them has its own oscillator driving the local sampling process, resulting in slightly different sampling rates at the individual sensor nodes. Nevertheless, for certain downstream signal processing tasks it is important to compensate even for small sampling rate offsets. Aligning the sampling rates of oscillators which differ only by a few parts-per-million, is, however, challenging and quite different from traditional multirate signal processing tasks. In this paper we propose to transfer a precise but computationally demanding time domain approach, inspired by the Nyquist-Shannon sampling theorem, to an efficient frequency domain implementation. To this end a buffer control is employed which compensates for sampling offsets which are multiples of the sampling period, while a digital filter, realized by the wellknown Overlap-Save method, handles the fractional part of the sampling phase offset. With experiments on artificially misaligned data we investigate the parametrization, the efficiency, and the induced distortions of the proposed resampling method. It is shown that a favorable compromise between residual distortion and computational complexity is achieved, compared to other sampling rate offset compensation techniques.}}, author = {{Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold}}, booktitle = {{26th European Signal Processing Conference (EUSIPCO 2018)}}, title = {{{Efficient Sampling Rate Offset Compensation - An Overlap-Save Based Approach}}}, year = {{2018}}, }