@article{12020, author = {{Heinovski, Julian and Klingler, Florian and Dressler, Falko and Sommer, Christoph}}, issn = {{0140-3664}}, journal = {{Computer Communications}}, pages = {{84--92}}, title = {{{A simulative analysis of the performance of IEEE 802.11p and ARIB STD-T109}}}, doi = {{10.1016/j.comcom.2018.03.016}}, year = {{2018}}, } @article{12033, author = {{Klingler, Florian and Dressler, Falko and Sommer, Christoph}}, issn = {{0018-9545}}, journal = {{IEEE Transactions on Vehicular Technology}}, pages = {{7664--7676}}, title = {{{The Impact of Head of Line Blocking in Highly Dynamic WLANs}}}, doi = {{10.1109/tvt.2018.2837157}}, year = {{2018}}, } @article{12034, author = {{Klingler, Florian and Cohen, Reuven and Sommer, Christoph and Dressler, Falko}}, issn = {{1536-1233}}, journal = {{IEEE Transactions on Mobile Computing}}, pages = {{534--545}}, title = {{{Bloom Hopping: Bloom Filter Based 2-Hop Neighbor Management in VANETs}}}, doi = {{10.1109/tmc.2018.2840123}}, year = {{2018}}, } @inproceedings{12036, author = {{Loewen, Stefan and Klingler, Florian and Sommer, Christoph and Dressler, Falko}}, booktitle = {{2017 IEEE Vehicular Networking Conference (VNC)}}, isbn = {{9781538609866}}, title = {{{Backwards compatible extension of CAMs/DENMs for improved bike safety on the road}}}, doi = {{10.1109/vnc.2017.8275657}}, year = {{2018}}, } @inproceedings{12040, author = {{Memedi, Agon and Sommer, Christoph and Dressler, Falko}}, booktitle = {{2018 14th Annual Conference on Wireless On-demand Network Systems and Services (WONS)}}, isbn = {{9783903176010}}, title = {{{On the need for coordinated access control for vehicular visible light communication}}}, doi = {{10.23919/wons.2018.8311673}}, year = {{2018}}, } @article{12041, author = {{Outay, Fatma and Ahmar, Absar-Ul-Haque and Kamoun, Faouzi and Yasar, Ansar-Ul-Haque and Sommer, Christoph and Jabeur, Nafaa and El-Amine, Samar}}, issn = {{1617-4909}}, journal = {{Personal and Ubiquitous Computing}}, title = {{{Investigation of the impact of a wireless Fog Warning System with respect to road traffic on a highway}}}, doi = {{10.1007/s00779-018-1151-4}}, year = {{2018}}, } @inproceedings{12042, author = {{Pannu, Gurjashan Singh and Klingler, Florian and Sommer, Christoph and Dressler, Falko}}, booktitle = {{2017 IEEE Vehicular Networking Conference (VNC)}}, isbn = {{9781538609866}}, title = {{{QQDCA: Adapting IEEE 802.11 EDCA for unicast transmissions at high topology dynamics}}}, doi = {{10.1109/vnc.2017.8275619}}, year = {{2018}}, } @article{12075, author = {{Turcanu, Ion and Klingler, Florian and Sommer, Christoph and Baiocchi, Andrea and Dressler, Falko}}, issn = {{0140-3664}}, journal = {{Computer Communications}}, pages = {{54--64}}, title = {{{Duplicate suppression for efficient floating car data collection in heterogeneous LTE-DSRC vehicular networks}}}, doi = {{10.1016/j.comcom.2018.03.015}}, year = {{2018}}, } @phdthesis{1208, author = {{Schwabe, Arne}}, publisher = {{Universität Paderborn}}, title = {{{Data-Centre Traffic Optimisation using Software-Defined Networks}}}, doi = {{10.17619/UNIPB/1-287}}, year = {{2018}}, } @inproceedings{12898, abstract = {{Deep clustering (DC) and deep attractor networks (DANs) are a data-driven way to monaural blind source separation. Both approaches provide astonishing single channel performance but have not yet been generalized to block-online processing. When separating speech in a continuous stream with a block-online algorithm, it needs to be determined in each block which of the output streams belongs to whom. In this contribution we solve this block permutation problem by introducing an additional speaker identification embedding to the DAN model structure. We motivate this model decision by analyzing the embedding topology of DC and DANs and show, that DC and DANs themselves are not sufficient for speaker identification. This model structure (a) improves the signal to distortion ratio (SDR) over a DAN baseline and (b) provides up to 61% and up to 34% relative reduction in permutation error rate and re-identification error rate compared to an i-vector baseline, respectively.}}, author = {{Drude, Lukas and von Neumann, Thilo and Haeb-Umbach, Reinhold}}, booktitle = {{ICASSP 2018, Calgary, Canada}}, title = {{{Deep Attractor Networks for Speaker Re-Identifikation and Blind Source Separation}}}, year = {{2018}}, } @inproceedings{12900, abstract = {{Deep attractor networks (DANs) are a recently introduced method to blindly separate sources from spectral features of a monaural recording using bidirectional long short-term memory networks (BLSTMs). Due to the nature of BLSTMs, this is inherently not online-ready and resorting to operating on blocks yields a block permutation problem in that the index of each speaker may change between blocks. We here propose the joint modeling of spatial and spectral features to solve the block permutation problem and generalize DANs to multi-channel meeting recordings: The DAN acts as a spectral feature extractor for a subsequent model-based clustering approach. We first analyze different joint models in batch-processing scenarios and finally propose a block-online blind source separation algorithm. The efficacy of the proposed models is demonstrated on reverberant mixtures corrupted by real recordings of multi-channel background noise. We demonstrate that both the proposed batch-processing and the proposed block-online system outperform (a) a spatial-only model with a state-of-the-art frequency permutation solver and (b) a spectral-only model with an oracle block permutation solver in terms of signal to distortion ratio (SDR) gains.}}, author = {{Drude, Lukas and Higuchi,, Takuya and Kinoshita, Keisuke and Nakatani, Tomohiro and Haeb-Umbach, Reinhold}}, booktitle = {{ICASSP 2018, Calgary, Canada}}, title = {{{Dual Frequency- and Block-Permutation Alignment for Deep Learning Based Block-Online Blind Source Separation}}}, year = {{2018}}, } @inproceedings{12901, abstract = {{This work examines acoustic beamformers employing neural networks (NNs) for mask prediction as front-end for automatic speech recognition (ASR) systems for practical scenarios like voice-enabled home devices. To test the versatility of the mask predicting network, the system is evaluated with different recording hardware, different microphone array designs, and different acoustic models of the downstream ASR system. Significant gains in recognition accuracy are obtained in all configurations despite the fact that the NN had been trained on mismatched data. Unlike previous work, the NN is trained on a feature level objective, which gives some performance advantage over a mask related criterion. Furthermore, different approaches for realizing online, or adaptive, NN-based beamforming are explored, where the online algorithms still show significant gains compared to the baseline performance.}}, author = {{Boeddeker, Christoph and Erdogan, Hakan and Yoshioka, Takuya and Haeb-Umbach, Reinhold}}, booktitle = {{ICASSP 2018, Calgary, Canada}}, title = {{{Exploring Practical Aspects of Neural Mask-Based Beamforming for Far-Field Speech Recognition}}}, year = {{2018}}, } @article{12965, author = {{Ghribi, Ines and Abdallah, Riadh Ben and Khalgui, Mohamed and Li, Zhiwu and Alnowibet, Khalid and Platzner, Marco}}, issn = {{2169-3536}}, journal = {{IEEE Access}}, pages = {{14078--14092}}, title = {{{R-Codesign: Codesign Methodology for Real-Time Reconfigurable Embedded Systems Under Energy Constraints}}}, doi = {{10.1109/access.2018.2799852}}, year = {{2018}}, } @article{12974, author = {{Hellebrand, Sybille and Henkel, Joerg and Raghunathan, Anand and Wunderlich, Hans-Joachim}}, journal = {{IEEE Embedded Systems Letters}}, number = {{1}}, pages = {{1--1}}, publisher = {{IEEE}}, title = {{{Guest Editors' Introduction - Special Issue on Approximate Computing}}}, doi = {{10.1109/les.2018.2789942}}, volume = {{10}}, year = {{2018}}, } @inproceedings{15584, author = {{Magenheim, Johannes and Müller, Kathrin and Schulte, Carsten and Bergner, Nadine and Haselmeier, Kathrin and Humbert, Ludger and Müller, Dorothee and Schroeder, Ulrik}}, booktitle = {{Informatics in Schools. Fundamentals of Computer Science and Software Engineering - 11th International Conference on Informatics in Schools: Situation, Evolution, and Perspectives, (ISSEP) 2018, St. Petersburg, Russia, October 10-12, 2018, Proceedings}}, pages = {{339--353}}, title = {{{Evaluation of Learning Informatics in Primary Education - Views of Teachers and Students}}}, doi = {{10.1007/978-3-030-02750-6\_26}}, year = {{2018}}, } @inproceedings{15585, author = {{Bednarik, Roman and Schulte, Carsten and Budde, Lea and Heinemann, Birte and Vrzakova, Hana}}, booktitle = {{Proceedings of the 18th Koli Calling International Conference on Computing Education Research, Koli, Finland, November 22-25, 2018}}, pages = {{2:1--2:8}}, title = {{{Eye-movement Modeling Examples in Source Code Comprehension: A Classroom Study}}}, doi = {{10.1145/3279720.3279722}}, year = {{2018}}, } @inproceedings{15586, author = {{Müller, Kathrin and Schulte, Carsten}}, booktitle = {{Proceedings of the 13th Workshop in Primary and Secondary Computing Education, WiPSCE 2018, Potsdam, Germany, October 04-06, 2018}}, pages = {{10:1--10:4}}, title = {{{Are children perceiving robots as supporting or replacing humans?: first empirical results and classification of preconceptions within a theoretical framework}}}, doi = {{10.1145/3265757.3265767}}, year = {{2018}}, } @inproceedings{15587, author = {{Schulte, Carsten and Krüger, Jessica and Gödecke, Andreas and Schmidt, Ann-Katrin}}, booktitle = {{Proceedings of the 13th Workshop in Primary and Secondary Computing Education, WiPSCE 2018, Potsdam, Germany, October 04-06, 2018}}, pages = {{24:1--24:6}}, title = {{{The computing repair cafe: a concept for repair cafes in computing edcuation}}}, doi = {{10.1145/3265757.3265781}}, year = {{2018}}, } @proceedings{15588, editor = {{Bednarik, Roman and Schulte, Carsten}}, publisher = {{(ACM)}}, title = {{{Proceedings of the Workshop on Eye Movements in Programming, EMIP@ETRA 2018, Warsaw, Poland, June 15, 2018}}}, year = {{2018}}, } @book{15595, author = {{Sentance, Sue and Barendsen, Erik and Schulte, Carsten}}, publisher = {{Bloomsbury Publishing}}, title = {{{Computer Science Education: Perspectives on Teaching and learning in school}}}, year = {{2018}}, }