Logo TU Ilmenau

Ihre Position



Anzahl der Treffer: 2750
Erstellt: Sun, 19 Jan 2020 06:01:50 +0100 in 0.0283 sec

Weise, Konstantin; Numssen, Ole; Thielscher, Axel; Hartwigsen, Gesa; Knösche, Thomas R.;
A novel approach to localize cortical TMS effects. - In: NeuroImage : a journal of brain function.. - Orlando, Fla. : Academic Press, ISSN 1095-9572, Bd. 209 (2020), 116486, S. 1-17
Sokal, Bruno; Almeida, André L.F.; Haardt, Martin;
Semi-blind receivers for MIMO multi-relaying systems via rank-one tensor approximations. - In: Signal processing : a European journal devoted to the methods and applications of signal processing.. - Amsterdam [u.a.] : Elsevier, Volume 166 (2020), 107254, Seite 1-13
Sousa, Marcelo N.; deCardoso, Rafael L.; Melo, Henrique S.; Parente, José W. C.; Thomä, Reiner;
Machine learning and multipath fingerprints for emitter localization in urban scenario. - In: Developments and advances in defense and security : proceedings of MICRADS 2019.. - Singapore : Springer, (2020), S. 217-230
Iqbal, Naveed; Luo, Jian; Schneider, Christian; Dupleich, Diego; Müller, Robert; Häfner, Stephan; Thomä, Reiner;
Investigating validity of wide-sense stationary assumption in millimeter wave radio channels. - In: IEEE access : practical research, open solutions.. - New York, NY : IEEE, ISSN 2169-3536, Bd. 7 (2019), S. 180073-180082
Ardah, Khaled; Almeida, André L.F.; Haardt, Martin;
Low-complexity millimeter wave CSI estimation in MIMO-OFDM hybrid beamforming systems. - In: IEEE Xplore digital library. - New York, NY : IEEE, (2019), S. 169-173
Niu, Han; Dupleich, Diego; Müller, Robert; Skoblikov, Sergii; Schneider, Christian; Del Galdo, Giovanni; Thomä, Reiner;
Hybrid ray tracing method for millimeter wave propagation simulation in large indoor scenarios. - In: IEEE Xplore digital library. - New York, NY : IEEE, (2019), S. 99-104
Khamidullina, Liana; Cheng, Yao; Haardt, Martin;
Constrained tensor decompositions for semi-blind MIMO detection. - In: IEEE Xplore digital library. - New York, NY : IEEE, (2019), S. 42-47
Brauer, Hartmut; Ziolkowski, Marek;
Motion-induced eddy current testing. - In: Handbook of advanced nondestructive evaluation. - Cham : Springer, (2019), S. 781-825

Nondestructive material testing and evaluation is a vast interdisciplinary field as well as a challenge due to the variety of applications. Whereas the focus of nondestructive testing is to identify anomalies within a specimen, the reconstruction of defect properties and their influence on the materials usability is the focus of nondestructive evaluation. In this chapter the technology of motion-induced eddy current testing (MIECT) is introduced. In contrast to traditional eddy current testing (ECT) methods, MIECT makes use of relative motion between the object under test and permanent magnets. The induced eddy currents interact with the applied magnetic field and result in a Lorentz force, depending on the impressed magnetic induction, the electrical conductivity, and the measuring velocity. Because permanent magnets produce considerably stronger magnetic fields than current-carrying ECT coils, even deep internal defects can be detected using the Lorentz force eddy current testing (LET). It is shown how the electromagnetic fields can be described theoretically and simulated numerically, as well as how imperfections/defects in non-ferromagnetic, conducting specimens can be detected using an appropriate laboratory environment. Comparative studies have shown that LET applied to metallic composite material or friction stir welds is a promising and competitive alternative to traditional ECT methods enabling the contactless evaluation of moving electrical conductors.

Kreismann, Jakob; Kim, Jaewon; Bosch, Martí; Hein, Matthias; Sinzinger, Stefan; Hentschel, Martina;
Superdirectional light emission and emission reversal from microcavity arrays. - Washington, DC : American Physical Society. - 1 Online-Ressource (5 Seiten).
Krieg, Fabian; Kodera, Sayako; Kirchhof, Jan; Römer, Florian; Ihlow, Alexander; Lugin, Sergey; Osman, Ahmad; Del Galdo, Giovanni;
3D reconstruction of handheld data by SAFT and the influence of measurement inaccuracies. - In: IEEE Xplore digital library. - New York, NY : IEEE, (2019), S. 2095-2098