TY  - CHAP
A1  - Hüning, Felix
T1  - Power Semiconductors for the automotive 48V board net
T2  - PCIM Europe 2016 Conference Proceedings
Y1  - 2016
SN  - 978-3-8007-4186-1
SP  - 1963
EP  - 1969
PB  - VDE Verl.
CY  - Berlin
ER  - 
TY  - CHAP
A1  - Taddei, Francesca
A1  - Lozana, Lara
A1  - Michel, Philipp
A1  - Butenweg, Christoph
A1  - Klinkel, Sven
ED  - Papadrakakis, Manolis
ED  - Papadrakakis, M.
ED  - Papadopoulos, V.
ED  - Plevris, V.
T1  - Practical recommendations for the foundation design of onshore wind turbines including soil-structure interaction
T2  - 5th International Conference on Computational Methods in Structural , Hersonissos, Greece Dynamics and Earthquake Engineering, COMPDYN 2015, 25.05.2015-27.05.2015, Hersonissos, Greece.
Y1  - 2015
ER  - 
TY  - CHAP
A1  - Vedral, Andreas
A1  - Wollert, Jörg
T1  - Praktische Untersuchungen zum zeitlichen Übertragungs- und Bündelfehlerverhalten der IEEE 802.15.4
T2  - ZigBee & Co. - drahtlose Nahbereichsnetzwerke : 04. April 2006, München
Y1  - 2006
PB  - Design&Elektronik
CY  - Poing
ER  - 
TY  - CHAP
A1  - Vredal, Andreas
A1  - Wollert, Jörg
T1  - Praktische Untersuchungen zur Reduzierung der Restfehlerrate von Funksystemen
T2  - Wireless Automation : Chancen, Lösungen, Risiken ; Tagung Darmstadt, 8. und 9. Mai 2006. (VDI-Berichte ; 1939)
Y1  - 2006
SN  - 3-18-091939-6
SP  - 135
EP  - 146
PB  - VDI-Verl.
CY  - Düsseldorf
ER  - 
TY  - CHAP
A1  - Schulte, Maximilian
A1  - Eggert, Mathias
T1  - Predicting hourly bitcoin prices based on long short-term memory neural networks
T2  - Proceedings of the International Conference on Wirtschaftsinformatik (WI) 2021
N2  - Bitcoin is a cryptocurrency and is considered a high-risk asset
class whose price changes are difficult to predict. Current research focusses
on daily price movements with a limited number of predictors. The paper at
hand aims at identifying measurable indicators for Bitcoin price movement s
and the development of a suitable forecasting model for hourly changes. The
paper provides three research contributions. First, a set of significant
indicators for predicting the Bitcoin price is identified. Second, the results of
a trained Long Short-term Memory (LSTM) neural network that predicts
price changes on an hourly basis is presented and compared with other
algorithms. Third, the results foster discussions of the applicability of neural
nets for stock price predictions. In total, 47 input features for a period of
over 10 months could be retrieved to train a neural net that predicts the
Bitcoin price movements with an error rate of 3.52 %.
Y1  - 2021
N1  - 16th International Conference on Wirtschaftsinformatik,
March 2021, Essen, Germany
ER  - 
TY  - CHAP
A1  - Schlenkhoff, Andreas
A1  - Bung, Daniel B.
T1  - Prediction of oxygen transfer in self-aerated skimming flow on embankment stepped spillways
T2  - Water engineering for sustainable environment : 33rd IAHR congress ; 9 - 14 August 2009, Vancouver, British Columbia, Canada
Y1  - 2009
SN  - 9789078046080
SP  - 1 CD-ROM
ER  - 
TY  - CHAP
A1  - Hille, Sebastian
A1  - Stumpf, Eike
A1  - Mayntz, Joscha
A1  - Dahmann, Peter
T1  - Prediction of sound exposure caused by a landing motor glider with recuperating propellers
T2  - AIAA SCITECH 2023 Forum
N2  - This paper presents an approach to predicting the sound exposure on the ground caused by a landing aircraft with recuperating propellers. The noise source along the trajectory of a flight specified for a steeper approach is simulated based on measurements of sound power levels and additional parameters of a single propeller placed in a wind tunnel. To validate the measured data/measurement results, these simulations are also supported by overflight measurements of a test aircraft. It is shown that the simple source models of propellers do not provide fully satisfactory results since the sound levels are estimated too low. Nevertheless, with a further reference comparison, margins for an acceptable increase in the sound power level of the aircraft on its now steeper approach path could be estimated. Thus, in this case, a +7 dB increase in SWL would not increase the SEL compared to the conventional approach within only 2 km ahead of the airfield.
Y1  - 2023
U6  - http://dx.doi.org/10.2514/6.2023-0211
N1  - AIAA SCITECH 2023 Forum, 23-27 January 2023, National Harbor, MD & Online
PB  - AIAA
ER  - 
TY  - CHAP
A1  - Herzwurm, Georg
A1  - Krams, Benedikt
A1  - Pietsch, Wolfram
T1  - Preisfindung von IT-Produkten durch retrograde Kalkulation
T2  - Multikonferenz Wirtschaftsinformatik : MKWI 2010, Göttingen, 23.-25.2.2010
Y1  - 2010
SP  - 529
EP  - 539
ET  - Online-Ausg.
ER  - 
TY  - CHAP
A1  - Kumaran, P.
A1  - Gopinathan, M.
A1  - Razali, N. M.
A1  - Kuperjans, Isabel
A1  - Hariffin, B.
A1  - Hamdan, H.
T1  - Preliminary evaluation of atomization characteristics of improved biodiesel for gas turbine application
T2  - IOP Conference Series: Earth and Environmental Science (EES)
Y1  - 2013
U6  - http://dx.doi.org/10.1088/1755-1315/16/1/012014
SN  - 1755-1315
VL  - 16
IS  - 1
SP  - 012014/1
EP  - 012014/4
PB  - Institute of Physics Publishing (IOP)
CY  - London [u.a.]
ER  - 
TY  - CHAP
A1  - Peloni, A.
A1  - Ceriotti, M.
A1  - Dachwald, Bernd
T1  - Preliminary trajectory design of a multiple NEO rendezvous mission through solar sailing
T2  - Proceedings of the International Astronautical Congress, IAC, Vol. 8, 2014
Y1  - 2015
SN  - 978-1-63439-986-9
SP  - 5352
EP  - 5366
PB  - Curran
CY  - Red Hook, NY
ER  -