TY - GEN A1 - Bohdan, Artem A1 - Niemiec, Jacek A1 - Kobzar, Oleh A1 - Pohl, Martin T1 - Erratum: Electron Pre-acceleration at Nonrelativistic High-Mach-number Perpendicular Shocks (The astrophysical journal : an international review of spectroscopy and astronomical physics. - Vol 847, 2017, 71) T2 - The astrophysical journal : an international review of spectroscopy and astronomical physics Y1 - 2019 U6 - https://doi.org/10.3847/1538-4357/ab2f89 SN - 0004-637X SN - 1538-4357 VL - 880 IS - 1 PB - IOP Publ. Ltd. CY - Bristol ER - TY - GEN A1 - Bock, Benedikt A1 - Matysik, Jan-Tobias A1 - Krentz, Konrad-Felix A1 - Meinel, Christoph T1 - Link Layer Key Revocation and Rekeying for the Adaptive Key Establishment Scheme T2 - 2019 IEEE 5TH World Forum on internet of things (WF-IOT) N2 - While the IEEE 802.15.4 radio standard has many features that meet the requirements of Internet of things applications, IEEE 802.15.4 leaves the whole issue of key management unstandardized. To address this gap, Krentz et al. proposed the Adaptive Key Establishment Scheme (AKES), which establishes session keys for use in IEEE 802.15.4 security. Yet, AKES does not cover all aspects of key management. In particular, AKES comprises no means for key revocation and rekeying. Moreover, existing protocols for key revocation and rekeying seem limited in various ways. In this paper, we hence propose a key revocation and rekeying protocol, which is designed to overcome various limitations of current protocols for key revocation and rekeying. For example, our protocol seems unique in that it routes around IEEE 802.15.4 nodes whose keys are being revoked. We successfully implemented and evaluated our protocol using the Contiki-NG operating system and aiocoap. KW - IEEE 802.15.4 KW - key management KW - key establishment KW - key revocation KW - rekeying KW - link layer security KW - MAC security Y1 - 2019 SN - 978-1-5386-4980-0 U6 - https://doi.org/10.1109/WF-IoT.2019.8767211 SP - 374 EP - 379 PB - IEEE CY - New York ER - TY - GEN A1 - Bobos, Iuliu A1 - Goncalves, Ana A1 - Lima, Luis A1 - Noronha, Fernando A1 - Sudo, Masafumi T1 - Micas Ar-40/Ar-39 dating of hydrothermal events related with the post-orogenic W (+/- Sn), (Cu, Mo) mineralization from Borralha, Northern Portugal T2 - Life with Ore Deposits on Earth – 15th SGA Biennial Meeting 2019, N2 - Secondary mica minerals collected from the Santa Helena (W- (Cu) mineralization) and Venise (W-Mo mineralization) endogenic breccia structures were Ar-40/Ar-39 dated. The muscovite Ar-40/Ar-39 data yielded 286.8 +/- 1.2 (+/- 1 sigma) Ma (samples 6Ha and 11Ha) which reflect the age of secondary muscovite formation probably from magmatic biotite or feldspar alteration. Sericite Ar-40/Ar-39 data yielded 280.9 +/- 1.2 (+/- 1 sigma) Ma to 279.0 +/- 1.1 (+/- 1 sigma) Ma (samples 6Hb and 11Hb) reflecting the age of greisen alteration (T similar to 300 degrees C) where the W- disseminated mineralization occurs. The muscovite 40Ar/39Ar data of 277.3 +/- 1.3 (+/- 1 sigma) Ma and 281.3 +/- 1.2 (+/- 1 sigma) Ma (samples 5 and 6) also reflect the age of muscovite (selvage) crystallized adjacent to molybdenite veins within the Venise breccia. Geochronological data obtained confirmed that the W mineralization at Santa Helena breccia is older than Mo-mineralization at Venise breccia. Also, the timing of hydrothermal circulation and the cooling history for the W-stage deposition was no longer than 7 Ma and 4 Ma for Mo-deposition. Y1 - 2019 UR - https://www.researchgate.net/publication/337901420_Micas_40_Ar_39_Ar_dating_of_hydrothermal_events_related_with_the_post-orogenic_W_Sn_Cu_Mo_mineralization_from_Borralha_Northern_Portugal IS - 1 SP - 353 EP - 356 PB - SGA Soc Geology Applied mineral depositis CY - Geneva ER - TY - GEN A1 - Björk, Jennie A1 - Hölze, Katharina T1 - Editorial T2 - Creativity and innovation management Y1 - 2019 U6 - https://doi.org/10.1111/caim.12336 SN - 0963-1690 SN - 1467-8691 VL - 28 IS - 3 SP - 289 EP - 290 PB - Wiley CY - Hoboken ER - TY - GEN A1 - Bin Tareaf, Raad A1 - Berger, Philipp A1 - Hennig, Patrick A1 - Meinel, Christoph T1 - Personality exploration system for online social networks BT - Facebook brands as a use case T2 - 2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) N2 - User-generated content on social media platforms is a rich source of latent information about individual variables. Crawling and analyzing this content provides a new approach for enterprises to personalize services and put forward product recommendations. In the past few years, brands made a gradual appearance on social media platforms for advertisement, customers support and public relation purposes and by now it became a necessity throughout all branches. This online identity can be represented as a brand personality that reflects how a brand is perceived by its customers. We exploited recent research in text analysis and personality detection to build an automatic brand personality prediction model on top of the (Five-Factor Model) and (Linguistic Inquiry and Word Count) features extracted from publicly available benchmarks. The proposed model reported significant accuracy in predicting specific personality traits form brands. For evaluating our prediction results on actual brands, we crawled the Facebook API for 100k posts from the most valuable brands' pages in the USA and we visualize exemplars of comparison results and present suggestions for future directions. KW - Big Five Model KW - Brand Personality KW - Personality Prediction KW - Machine Learning KW - Social Media Analysis Y1 - 2019 SN - 978-1-5386-7325-6 U6 - https://doi.org/10.1109/WI.2018.00-76 SP - 301 EP - 309 PB - IEEE CY - New York ER - TY - GEN A1 - Bilo, Davide A1 - Friedrich, Tobias A1 - Lenzner, Pascal A1 - Melnichenko, Anna T1 - Geometric Network Creation Games T2 - SPAA '19: The 31st ACM Symposium on Parallelism in Algorithms and Architectures N2 - Network Creation Games are a well-known approach for explaining and analyzing the structure, quality and dynamics of real-world networks like the Internet and other infrastructure networks which evolved via the interaction of selfish agents without a central authority. In these games selfish agents which correspond to nodes in a network strategically buy incident edges to improve their centrality. However, past research on these games has only considered the creation of networks with unit-weight edges. In practice, e.g. when constructing a fiber-optic network, the choice of which nodes to connect and also the induced price for a link crucially depends on the distance between the involved nodes and such settings can be modeled via edge-weighted graphs. We incorporate arbitrary edge weights by generalizing the well-known model by Fabrikant et al. [PODC'03] to edge-weighted host graphs and focus on the geometric setting where the weights are induced by the distances in some metric space. In stark contrast to the state-of-the-art for the unit-weight version, where the Price of Anarchy is conjectured to be constant and where resolving this is a major open problem, we prove a tight non-constant bound on the Price of Anarchy for the metric version and a slightly weaker upper bound for the non-metric case. Moreover, we analyze the existence of equilibria, the computational hardness and the game dynamics for several natural metrics. The model we propose can be seen as the game-theoretic analogue of a variant of the classical Network Design Problem. Thus, low-cost equilibria of our game correspond to decentralized and stable approximations of the optimum network design. KW - Network creation games KW - edge-weighted networks KW - price of anarchy KW - Nash equilibrium KW - game dynamics KW - computational hardness Y1 - 2019 SN - 978-1-4503-6184-2 U6 - https://doi.org/10.1145/3323165.3323199 SP - 323 EP - 332 PB - Association for Computing Machinery CY - New York ER - TY - GEN A1 - Bender, Benedict A1 - Grum, Marcus A1 - Gronau, Norbert A1 - Alfa, Attahiru A1 - Maharaj, B. T. T1 - Design of a worldwide simulation system for distributed cyber-physical production networks T2 - 2019 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC) N2 - Modern production infrastructures of globally operating companies usually consist of multiple distributed production sites. While the organization of individual sites consisting of Industry 4.0 components itself is demanding, new questions regarding the organization and allocation of resources emerge considering the total production network. In an attempt to face the challenge of efficient distribution and processing both within and across sites, we aim to provide a hybrid simulation approach as a first step towards optimization. Using hybrid simulation allows us to include real and simulated concepts and thereby benchmark different approaches with reasonable effort. A simulation concept is conceptualized and demonstrated qualitatively using a global multi-site example. KW - production networks KW - geographical distribution KW - task realization strategies KW - Industry 4.0 KW - simulation KW - evaluation Y1 - 2019 SN - 978-1-7281-3401-7 SN - 978-1-7281-3402-4 U6 - https://doi.org/10.1109/ICE.2019.8792609 SN - 2334-315X PB - IEEE CY - New York ER - TY - GEN A1 - Beierle, Christoph A1 - Berndt, Jan Ole A1 - Gronau, Norbert A1 - Timm, Ingo J. T1 - Intentional Forgetting: A Huge Potential for Organizations BT - Interview with Prof. Norbert Gronau, University of Potsdam T2 - Künstliche Intelligenz Y1 - 2019 U6 - https://doi.org/10.1007/s13218-018-00573-y SN - 0933-1875 SN - 1610-1987 VL - 33 IS - 1 SP - 85 EP - 87 PB - Springer CY - Heidelberg ER - TY - GEN A1 - Beckus, Siegfried A1 - Bellissard, Jean A1 - De Nittis, Giuseppe T1 - Corrigendum to: Spectral continuity for aperiodic quantum systems I. General theory. - [Journal of functional analysis. - 275 (2018), 11, S. 2917 – 2977] T2 - Journal of functional analysis N2 - A correct statement of Theorem 4 in [1] is provided. The change does not affect the main results. KW - Haar system Y1 - 2019 U6 - https://doi.org/10.1016/j.jfa.2019.06.001 SN - 0022-1236 SN - 1096-0783 VL - 277 IS - 9 SP - 3351 EP - 3353 PB - Elsevier CY - San Diego ER - TY - GEN A1 - Bartz, Christian A1 - Yang, Haojin A1 - Bethge, Joseph A1 - Meinel, Christoph T1 - LoANs BT - Weakly Supervised Object Detection with Localizer Assessor Networks T2 - Computer Vision – ACCV 2018 Workshops N2 - Recently, deep neural networks have achieved remarkable performance on the task of object detection and recognition. The reason for this success is mainly grounded in the availability of large scale, fully annotated datasets, but the creation of such a dataset is a complicated and costly task. In this paper, we propose a novel method for weakly supervised object detection that simplifies the process of gathering data for training an object detector. We train an ensemble of two models that work together in a student-teacher fashion. Our student (localizer) is a model that learns to localize an object, the teacher (assessor) assesses the quality of the localization and provides feedback to the student. The student uses this feedback to learn how to localize objects and is thus entirely supervised by the teacher, as we are using no labels for training the localizer. In our experiments, we show that our model is very robust to noise and reaches competitive performance compared to a state-of-the-art fully supervised approach. We also show the simplicity of creating a new dataset, based on a few videos (e.g. downloaded from YouTube) and artificially generated data. Y1 - 2019 SN - 978-3-030-21074-8 SN - 978-3-030-21073-1 U6 - https://doi.org/10.1007/978-3-030-21074-8_29 SN - 0302-9743 SN - 1611-3349 VL - 11367 SP - 341 EP - 356 PB - Springer CY - Cham ER -