@inproceedings{3873, author = {{Blömer, Johannes and Eidens, Fabian and Juhnke, Jakob}}, booktitle = {{The International Conference on Cryptology And Network Security (CANS)}}, isbn = {{978-3-030-00434-7}}, location = {{Naples, Italy}}, pages = {{235--255}}, publisher = {{Springer}}, title = {{{Enhanced Security of Attribute-Based Signatures}}}, doi = {{10.1007/978-3-030-00434-7_12}}, volume = {{11124}}, year = {{2018}}, } @inproceedings{2379, abstract = {{In this paper, we introduce the notion of delegatable attribute-based anonymous credentials (DAAC). Such systems offer fine-grained anonymous access control and they give the credential holder the ability to issue more restricted credentials to other users. In our model, credentials are parameterized with attributes that (1) express what the credential holder himself has been certified and (2) define which attributes he may issue to others. Furthermore, we present a practical construction of DAAC. For this construction, we deviate from the usual approach of embedding a certificate chain in the credential. Instead, we introduce a novel approach for which we identify a new primitive we call dynamically malleable signatures (DMS) as the main ingredient. This primitive may be of independent interest. We also give a first instantiation of DMS with efficient protocols. }}, author = {{Blömer, Johannes and Bobolz, Jan}}, booktitle = {{ACNS 2018 Applied Cryptography & Network security}}, location = {{Leuven, Belgium}}, title = {{{Delegatable Attribute-based Anonymous Credentials from Dynamically Malleable Signatures}}}, doi = {{10.1007/978-3-319-93387-0_12}}, year = {{2018}}, } @article{34498, abstract = {{Ample empirical research from regular school settings documents reciprocal effects between academic performance and academic self-concept of ability (ASC), supporting what is known as a reciprocal effects model (REM). The present article investigates a REM in the domain of reading performance in a sample of elementary students with special educational needs in learning (SEN-L) who received special educational support in exclusive versus inclusive settings (N = 446). In exclusive settings, SEN-L students attend special schools and are completely separated from regular students. By contrast, SEN-L students in inclusive settings attend regular schools and are educated in classes with regular students. In both settings, SEN-L students are not graded and taught based on individual learning goals, which may affect reciprocal effects between ASC and reading performance. In addition, given that special education for SEN-L students relies heavily on individual reference standards to evaluate performance, we tested individual performance growth of SEN-L students as a predictor of ASC. Analyses of a longitudinal dataset across 3rd and 4th grade revealed some cross-lagged effects and an effect of performance growth on ASC in exclusive settings in particular. The discussion focuses on the role of individualized instruction, grades, peer groups, and individual versus social reference standards for reciprocal effects between ASC and performance as well as practical implications. }}, author = {{Gorges, Julia and Neumann, Phillip and Wild, Elke and Stranghöner, Daniela and Lütje-Klose, Birgit}}, issn = {{1041-6080}}, journal = {{Learning and Individual Differences}}, keywords = {{BiLieF, Special educational needs, Learning disability, Academic selfconcept of ability, Reciprocal effects model, Inclusive education}}, pages = {{11--20}}, publisher = {{Elsevier BV}}, title = {{{Reciprocal effects between self-concept of ability and performance: A longitudinal study of children with learning disabilities in inclusive versus exclusive elementary education}}}, doi = {{10.1016/j.lindif.2017.11.005}}, volume = {{61}}, year = {{2018}}, } @article{34495, abstract = {{In der Bielefelder Längsschnittstudie zum Lernen in inklusiven und exklusiven Förderarrangements (BiLieF) wurden die psychosoziale und die Leistungsentwicklung bei Kindern mit sonderpädagogischem Förderbedarf im Förderschwerpunkt „Lernen“ von der 3. bis zur 5. Klasse in unterschiedlichen Fördersettings untersucht. Die Ergebnisse quantitativer und qualitativer Zugänge zeigen, dass vor allem proximale Faktoren auf der Ebene der Einzelschule – weniger die Form der Beschulung – für die Entwicklung der Kinder relevant sind. }}, author = {{Wild, Elke and Lütje-Klose, Birgit and Neumann, Phillip and Gorges, Julia}}, issn = {{0012-0731}}, journal = {{DDS – Die Deutsche Schule}}, keywords = {{BiLieF, Inklusion, sonderpädagogischer Förderbedarf, Grundschule, Wohlbefinden, Rollenausprägungen sonderpädagogischer Lehrkräfte}}, number = {{2}}, pages = {{109--123}}, publisher = {{Waxmann}}, title = {{{Die Bielefelder Längsschnittstudie zum Lernen in inklusiven und exklusiven Förderarrangements (BiLieF) – Zentrale Befunde}}}, doi = {{10.31244/dds.2018.02.02}}, volume = {{110}}, 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}}, } @inbook{36268, author = {{Weber, Jutta}}, booktitle = {{Machine Learning – Medien, Infrastrukturen und Technologien der Künstlichen Intelligenz}}, editor = {{Engemann, Christoph and Sudmann, Andreas}}, pages = {{219--246}}, publisher = {{transcript}}, title = {{{Big Data-Kriege. Über Tötungslisten, Drohnen und die Politik der Datenbanken}}}, year = {{2018}}, } @techreport{36411, author = {{Becker, Rieke and Heidgen, Michael and Lauert, Markus and Witschel, Verena}}, title = {{{Tagungsbericht: Kulturen der Moral – Moral Cultures. Internationale und interdisziplinäre Tagung in Kooperation mit der DGEJ vom 19. bis 22. September 2018 an der Universität Paderborn.}}}, year = {{2018}}, } @article{27119, abstract = {{This article examines the normative roots of criteria used for the accreditation of study programs in German higher education based on the orders of worth framework by Boltanski and Thévenot (On justification. Economies of worth, Princeton University Press, Princeton, 2006). From 1999 to 2017, the criteria have been subject to continuous efforts of legitimation, especially by the German Länder, which are in charge of public higher education in Germany. The empirical analysis shows that industrial (e.g., ‘standardization’), civic (e.g., ‘gender justice and equal opportunities’), and civic-industrial (e.g., ‘employability’) codings are the core of accreditation criteria. The normativity of these criteria constitutes accreditation as a technical arrangement running (a) a structural program (e.g., qualifications of academic teachers, modularization of study programs, and quality management) and (b) a political program (e.g., diversity of students and system of studies). Based on the empirical analysis, it is concluded that X does not stand for the accreditation of quality X. X stands for the accreditation of X qualities for specific normative purposes via the higher education accreditation regime.}}, author = {{Schneijderberg, Christian and Steinhardt, Isabel}}, issn = {{0952-8733}}, journal = {{Higher Education Policy}}, pages = {{5--28}}, title = {{{Accreditation of X Qualities Instead of Quality X: A Normative Analysis of Criteria of the German Higher Education Accreditation Regime}}}, doi = {{10.1057/s41307-018-0111-y}}, 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{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}}, } @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}}, } @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}}, } @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}}, } @inproceedings{11876, abstract = {{This paper describes the systems for the single-array track and the multiple-array track of the 5th CHiME Challenge. The final system is a combination of multiple systems, using Confusion Network Combination (CNC). The different systems presented here are utilizing different front-ends and training sets for a Bidirectional Long Short-Term Memory (BLSTM) Acoustic Model (AM). The front-end was replaced by enhancements provided by Paderborn University [1]. The back-end has been implemented using RASR [2] and RETURNN [3]. Additionally, a system combination including the hypothesis word graphs from the system of the submission [1] has been performed, which results in the final best system.}}, author = {{Kitza, Markus and Michel, Wilfried and Boeddeker, Christoph and Heitkaemper, Jens and Menne, Tobias and Schlüter, Ralf and Ney, Hermann 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 = {{{The RWTH/UPB System Combination for the CHiME 2018 Workshop}}}, year = {{2018}}, } @inproceedings{11836, abstract = {{Due to their distributed nature wireless acoustic sensor networks offer great potential for improved signal acquisition, processing and classification for applications such as monitoring and surveillance, home automation, or hands-free telecommunication. To reduce the communication demand with a central server and to raise the privacy level it is desirable to perform processing at node level. The limited processing and memory capabilities on a sensor node, however, stand in contrast to the compute and memory intensive deep learning algorithms used in modern speech and audio processing. In this work, we perform benchmarking of commonly used convolutional and recurrent neural network architectures on a Raspberry Pi based acoustic sensor node. We show that it is possible to run medium-sized neural network topologies used for speech enhancement and speech recognition in real time. For acoustic event recognition, where predictions in a lower temporal resolution are sufficient, it is even possible to run current state-of-the-art deep convolutional models with a real-time-factor of 0:11.}}, author = {{Ebbers, Janek and Heitkaemper, Jens and Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold}}, booktitle = {{ITG 2018, Oldenburg, Germany}}, title = {{{Benchmarking Neural Network Architectures for Acoustic Sensor Networks}}}, year = {{2018}}, } @inproceedings{11839, abstract = {{It has been experimentally verified that sampling rate offsets (SROs) between the input channels of an acoustic beamformer have a detrimental effect on the achievable SNR gains. In this paper we derive an analytic model to study the impact of SRO on the estimation of the spatial noise covariance matrix used in MVDR beamforming. It is shown that a perfect compensation of the SRO is impossible if the noise covariance matrix is estimated by time averaging, even if the SRO is perfectly known. The SRO should therefore be compensated for prior to beamformer coefficient estimation. We present a novel scheme where SRO compensation and beamforming closely interact, saving some computational effort compared to separate SRO adjustment followed by acoustic beamforming.}}, author = {{Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold}}, booktitle = {{ITG 2018, Oldenburg, Germany}}, title = {{{Insights into the Interplay of Sampling Rate Offsets and MVDR Beamforming}}}, year = {{2018}}, } @article{36510, author = {{Taschl-Erber, Andrea}}, journal = {{Quick And Easy Journal Title}}, title = {{{New Quick And Easy Publication - Will be edited by LibreCat team}}}, year = {{2018}}, } @article{49738, author = {{Huybrechts, Yves and Buylaert, Frederik}}, issn = {{1138-9621 }}, journal = {{EDAD MEDIA: Revista de Historia}}, pages = {{184--217}}, title = {{{Blue Blood in the Red? Nobles on the Antwerp annuity market (1490-1493) }}}, doi = {{10.24197/EM.19.2018.184-217 }}, volume = {{19}}, year = {{2018}}, }