@article{1196, author = {{Zentgraf, Thomas}}, issn = {{1748-3387}}, journal = {{Nature Nanotechnology}}, number = {{3}}, pages = {{179--180}}, publisher = {{Springer Nature}}, title = {{{Imaging the rainbow}}}, doi = {{10.1038/s41565-018-0062-x}}, volume = {{13}}, year = {{2018}}, } @article{1198, author = {{Song, Xu and Huang, Lingling and Tang, Chengchun and Li, Junjie and Li, Xiaowei and Liu, Juan and Wang, Yongtian and Zentgraf, Thomas}}, issn = {{2195-1071}}, journal = {{Advanced Optical Materials}}, number = {{4}}, publisher = {{Wiley-Blackwell}}, title = {{{Selective Diffraction with Complex Amplitude Modulation by Dielectric Metasurfaces}}}, doi = {{10.1002/adom.201701181}}, volume = {{6}}, year = {{2018}}, } @inproceedings{11983, author = {{Bloessl, Bastian and Klingler, Florian and Missbrenner, Fabian and Sommer, Christoph}}, booktitle = {{2017 IEEE Vehicular Networking Conference (VNC)}}, isbn = {{9781538609866}}, title = {{{A systematic study on the impact of noise and OFDM interference on IEEE 802.11p}}}, doi = {{10.1109/vnc.2017.8275633}}, year = {{2018}}, } @inproceedings{11986, author = {{Buse, Dominik S. and Schettler, Max and Kothe, Nils and Reinold, Peter and Sommer, Christoph and Dressler, Falko}}, booktitle = {{2018 14th Annual Conference on Wireless On-demand Network Systems and Services (WONS)}}, isbn = {{9783903176010}}, title = {{{Bridging worlds: Integrating hardware-in-the-loop testing with large-scale VANET simulation}}}, doi = {{10.23919/wons.2018.8311659}}, year = {{2018}}, } @inproceedings{11987, author = {{Buse, Dominik S. and Sommer, Christoph and Dressler, Falko}}, booktitle = {{IEEE INFOCOM 2018 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)}}, isbn = {{9781538659793}}, title = {{{Demo abstract: Integrating a driving simulator with city-scale VANET simulation for the development of next generation ADAS systems}}}, doi = {{10.1109/infcomw.2018.8406997}}, year = {{2018}}, } @article{11990, author = {{Djahel, Soufiene and Sommer, Christoph and Marconi, Annapaola}}, issn = {{1524-9050}}, journal = {{IEEE Transactions on Intelligent Transportation Systems}}, pages = {{2152--2155}}, title = {{{Guest Editorial: Introduction to the Special Issue on Advances in Smart and Green Transportation for Smart Cities}}}, doi = {{10.1109/tits.2018.2848018}}, year = {{2018}}, } @article{12007, author = {{Eckhoff, David and Sommer, Christoph}}, issn = {{0140-3664}}, journal = {{Computer Communications}}, pages = {{118--128}}, title = {{{Readjusting the privacy goals in Vehicular Ad-Hoc Networks: A safety-preserving solution using non-overlapping time-slotted pseudonym pools}}}, doi = {{10.1016/j.comcom.2018.03.006}}, year = {{2018}}, } @article{12009, author = {{Gläser, Stefan and Sommer, Christoph and Gehlen, Guido and Sories, Sabine}}, issn = {{2192-9092}}, journal = {{ATZelektronik worldwide}}, pages = {{14--17}}, title = {{{Cooperative vehicle applications with cellular communication}}}, doi = {{10.1007/bf03242188}}, year = {{2018}}, } @article{12017, author = {{Hagenauer, Florian and Sommer, Christoph and Higuchi, Takamasa and Altintas, Onur and Dressler, Falko}}, issn = {{1570-8705}}, journal = {{Ad Hoc Networks}}, pages = {{73--83}}, title = {{{Vehicular micro cloud in action: On gateway selection and gateway handovers}}}, doi = {{10.1016/j.adhoc.2018.05.014}}, year = {{2018}}, } @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}}, }