TY - JOUR A1 - Hüning, Felix A1 - Hillgärtner, Michael A1 - Reke, Michael T1 - Rolling Labs – Teaching Vehicle Electronics from the Beginning JF - International Journal of Engineering Pedagogy (iJEP) Y1 - 2019 U6 - http://dx.doi.org/10.3991/ijep.v9i1.9241 SN - 2192-4880 VL - 9 IS - 1 SP - 34 EP - 49 ER - TY - JOUR A1 - Arreola, Julio A1 - Keusgen, Michael A1 - Schöning, Michael Josef T1 - Toward an immobilization method for spore-based biosensors in oxidative environment JF - Electrochimica Acta Y1 - 2019 U6 - http://dx.doi.org/10.1016/j.electacta.2019.01.148 VL - 302 SP - 394 EP - 401 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Funke, Harald A1 - Beckmann, Nils A1 - Keinz, Jan A1 - Abanteriba, Sylvester T1 - Numerical and Experimental Evaluation of a Dual-Fuel Dry-Low-NOx Micromix Combustor for Industrial Gas Turbine Applications JF - Journal of Thermal Science and Engineering Applications Y1 - 2019 U6 - http://dx.doi.org/10.1115/1.4041495 SN - 19485085 N1 - Paper No: GT2017-64795 VL - 11 IS - 1 SP - 011015 PB - ASME CY - New York ER - TY - JOUR A1 - Bronder, Thomas A1 - Poghossian, Arshak A1 - Jessing, Max P. A1 - Keusgen, Michael A1 - Schöning, Michael Josef T1 - Surface regeneration and reusability of label-free DNA biosensors based on weak polyelectrolyte-modified capacitive field-effect structures JF - Biosensors and Bioelectronics Y1 - 2019 U6 - http://dx.doi.org/10.1016/j.bios.2018.11.019 SN - 0956-5663 VL - 126 SP - 510 EP - 517 PB - Elsevier CY - Amsterdam ER - TY - CHAP A1 - Barnat, Miriam A1 - Jänsch, Vanessa K. T1 - Forschendes Lernen und Studienerfolg: Die Bedeutung epistemischer Neugier T2 - Forschendes Lernen in der Studieneingangsphase: Empirische Befunde, Fallbeispiele und individuelle Perspektiven N2 - Forschendes Lernen ist dazu geeignet, epistemische Neugier – definiert als Freude an neuen Erkenntnissen - anzuregen und zu befriedigen. Neben der Selbstwirksamkeit zeigt sich die Neugier als relevant für den Studienerfolg. Allerdings ist bisher nicht geklärt, in welcher Beziehung diese beiden Konstrukte zueinanderstehen. KW - Epistemische Neugier KW - intrinsische Motivation KW - Selbstwirksamkeit Y1 - 2019 SN - 978-3-658-25312-7 U6 - http://dx.doi.org/10.1007/978-3-658-25312-7_6 SP - 99 EP - 109 PB - Springer VS CY - Wiesbaden ER - TY - JOUR A1 - Jung, Alexander A1 - Staat, Manfred T1 - Modeling and simulation of human induced pluripotent stem cell-derived cardiac tissue JF - GAMM - Mitteilungen der Gesellschaft für Angewandte Mathematik und Mechanik Y1 - 2019 U6 - http://dx.doi.org/10.1002/gamm.201900002 SN - 1522-2608 VL - 42 IS - 4 PB - Wiley CY - Weinheim ER - TY - BOOK A1 - Meskouris, Konstantin A1 - Butenweg, Christoph A1 - Hinzen, Klaus-G. A1 - Höffer, Rüdiger T1 - Structural Dynamics with Applications in Earthquake and Wind Engineering Y1 - 2019 SN - 978-3-662-57550-5 U6 - http://dx.doi.org/10.1007/978-3-662-57550-5 PB - Springer CY - Berlin, Heidelberg ER - TY - CHAP A1 - Meskouris, Konstantin A1 - Butenweg, Christoph A1 - Hinzen, Klaus-G. A1 - Höffer, Rüdiger T1 - Stochasticity of Wind Processes and Spectral Analysis of Structural Gust Response T2 - Structural Dynamics with Applications in Earthquake and Wind Engineering N2 - Wind loads have great impact on many engineering structures. Wind storms often cause irreparable damage to the buildings which are exposed to it. Along with the earthquakes, wind represents one of the most common environmental load on structures and is relevant for limit state design. Modern wind codes indicate calculation procedures allowing engineers to deal with structural systems, which are susceptible to conduct wind-excited oscillations. In the codes approximate formulas for wind buffeting are specified which relate the dynamic problem to rather abstract parameter functions. The complete theory behind is not visible in order to simplify the applicability of the procedures. This chapter derives the underlying basic relations of the spectral method for wind buffeting and explains the main important applications of it in order to elucidate part of the theoretical background of computations after the new codes. The stochasticity of the wind processes is addressed, and the analysis of analytical as well as measurement based power spectra is outlined. Short MATLAB codes are added to the Appendix 3 which carry out the computation of a single sided auto-spectrum from a statistically stationary, discrete stochastic process. Two examples are presented. KW - Wind turbulence KW - Gust wind response KW - Spectral analysis Y1 - 2019 SN - 978-3-662-57550-5 (Online) SN - 978-3-662-57548-2 (Print) U6 - http://dx.doi.org/10.1007/978-3-662-57550-5_3 SP - 153 EP - 196 PB - Springer CY - Berlin ER - TY - CHAP A1 - Schildt, Philipp A1 - Marzocca, Pier A1 - Braun, Carsten A1 - Dahmann, Peter A1 - Keimer, Jona T1 - Effects of atmospheric excitation on vibration based condition monitoring methods for hybrid-electric aircraft propulsion systems T2 - AIAC 2018: 18th Australian International Aerospace Congress: HUMS - 11th Defence Science and Technology (DST) International Conference on Health and Usage Monitoring (HUMS 2019): ISSFD - 27th International Symposium on Space Flight Dynamics (ISSFD) Y1 - 2019 SN - 9781925627213 SP - 923 EP - 928 ER - TY - CHAP A1 - Dachwald, Bernd A1 - Ohndorf, Andreas T1 - Global optimization of continuous-thrust trajectories using evolutionary neurocontrol T2 - Modeling and Optimization in Space Engineering N2 - Searching optimal continuous-thrust trajectories is usually a difficult and time-consuming task. The solution quality of traditional optimal-control methods depends strongly on an adequate initial guess because the solution is typically close to the initial guess, which may be far from the (unknown) global optimum. Evolutionary neurocontrol attacks continuous-thrust optimization problems from the perspective of artificial intelligence and machine learning, combining artificial neural networks and evolutionary algorithms. This chapter describes the method and shows some example results for single- and multi-phase continuous-thrust trajectory optimization problems to assess its performance. Evolutionary neurocontrol can explore the trajectory search space more exhaustively than a human expert can do with traditional optimal-control methods. Especially for difficult problems, it usually finds solutions that are closer to the global optimum. Another fundamental advantage is that continuous-thrust trajectories can be optimized without an initial guess and without expert supervision. Y1 - 2019 SN - 978-3-030-10501-3 SN - 978-3-030-10500-6 U6 - http://dx.doi.org/10.1007/978-3-030-10501-3_2 N1 - Springer Optimization and Its Applications, vol 144 gedruckt unter der Signatur 21 ZSS 46 in der Bereichsbibliothek Eupener Str. vorhanden SP - 33 EP - 57 PB - Springer CY - Cham ER -