TY - JOUR A1 - Vieira da Silva, Maria Eugenia A1 - Schwarzer, Klemens A1 - Hoffschmidt, Bernhard A1 - Pinheiro Rodrigues, Frederico A1 - Schwarzer, Tarik A1 - Costa Rocha, Paulo Alexandre T1 - Mass transfer correlation for evaporation–condensation thermal process in the range of 70 °C–95 °C JF - Renewable energy Y1 - 2013 SN - 1879-0682 (E-Journal); 0960-1481 (Print) VL - Vol. 53 SP - 174 EP - 179 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Finger, Felix A1 - Götten, Falk A1 - Braun, Carsten A1 - Bil, Cees T1 - Mass, primary energy, and cost: the impact of optimization objectives on the initial sizing of hybrid-electric general aviation aircraft JF - CEAS Aeronautical Journal N2 - For short take-off and landing (STOL) aircraft, a parallel hybrid-electric propulsion system potentially offers superior performance compared to a conventional propulsion system, because the short-take-off power requirement is much higher than the cruise power requirement. This power-matching problem can be solved with a balanced hybrid propulsion system. However, there is a trade-off between wing loading, power loading, the level of hybridization, as well as range and take-off distance. An optimization method can vary design variables in such a way that a minimum of a particular objective is attained. In this paper, a comparison between the optimization results for minimum mass, minimum consumed primary energy, and minimum cost is conducted. A new initial sizing algorithm for general aviation aircraft with hybrid-electric propulsion systems is applied. This initial sizing methodology covers point performance, mission performance analysis, the weight estimation process, and cost estimation. The methodology is applied to the design of a STOL general aviation aircraft, intended for on-demand air mobility operations. The aircraft is sized to carry eight passengers over a distance of 500 km, while able to take off and land from short airstrips. Results indicate that parallel hybrid-electric propulsion systems must be considered for future STOL aircraft. Y1 - 2020 U6 - https://doi.org/10.1007/s13272-020-00449-8 SN - 1869-5590 N1 - Corresponding author: Felix Finger VL - 2020 IS - 11 SP - 713 EP - 730 PB - Springer CY - Heidelberg ER - TY - JOUR A1 - Grajewski, Matthias A1 - Köster, Michael A1 - Turek, Stefan T1 - Mathematical and Numerical Analysis of a Robust and Efficient Grid Deformation Method in the Finite Element Context JF - SIAM Journal on Scientific Computing Y1 - 2009 U6 - https://doi.org/10.1137/050639387 VL - 31 IS - 2 SP - 1539 EP - 1557 PB - Society for Industrial and Applied Mathematics CY - Philadelphia, Pa. ER - TY - JOUR A1 - Hafner, David A1 - Demetz, Oliver A1 - Weickert, Joachim A1 - Reißel, Martin T1 - Mathematical Foundations and Generalisations of the Census Transform for Robust Optic Flow Computation JF - Journal of Mathematical Imaging and Vision Y1 - 2014 U6 - https://doi.org/10.1007/s10851-014-0529-9 SN - 1573-7683 (Online) N1 - Springer Online First (ohne Seitenang. und Heftzuteilung) PB - Springer CY - New York ER - TY - JOUR A1 - Hellwig, Angelika A1 - Volkmann, Lutz T1 - Maximally edge-connected and vertex-connected graphs and digraphs : a survey JF - Discrete mathematics Y1 - 2008 SN - 1872-681X (E-Journal); 0012-365X (Print) VL - Vol. 308 IS - Iss. 15 SP - 3265 EP - 3296 ER - TY - JOUR A1 - Hellwig, Angelika A1 - Volkmann, Lutz T1 - Maximally edge-connected digraphs JF - Australasian journal of combinatorics Y1 - 2003 SN - 1034-4942 (E-Journal); 1034-4942 (Print) VL - Vol. 27 SP - 23 EP - 32 ER - TY - JOUR A1 - Hellwig, Angelika A1 - Volkmann, Lutz T1 - Maximally local-edge-connected graphs and digraphs JF - Ars combinatoria Y1 - 2004 SN - 0381-7032 VL - Vol. 72 SP - 295 EP - 306 ER - TY - JOUR A1 - Hartung, Frank A1 - Horn, Uwe A1 - Huschke, Jörg A1 - Kampmann, Markus T1 - MBMS—IP Multicast/Broadcast in 3G Networks / Hartung, Frank ; Horn, Uwe ; Huschke, Jörg ; Kampmann, Markus ; Lohmar, Thorsten JF - International Journal of Digital Multimedia Broadcasting. 2009 (2009) Y1 - 2009 SN - 1687-7586 N1 - Article ID 597848 SP - 1 EP - 25 ER - TY - JOUR A1 - Stiemer, Luc Nicolas A1 - Thoma, Andreas A1 - Braun, Carsten T1 - MBT3D: Deep learning based multi-object tracker for bumblebee 3D flight path estimation JF - PLoS ONE N2 - This work presents the Multi-Bees-Tracker (MBT3D) algorithm, a Python framework implementing a deep association tracker for Tracking-By-Detection, to address the challenging task of tracking flight paths of bumblebees in a social group. While tracking algorithms for bumblebees exist, they often come with intensive restrictions, such as the need for sufficient lighting, high contrast between the animal and background, absence of occlusion, significant user input, etc. Tracking flight paths of bumblebees in a social group is challenging. They suddenly adjust movements and change their appearance during different wing beat states while exhibiting significant similarities in their individual appearance. The MBT3D tracker, developed in this research, is an adaptation of an existing ant tracking algorithm for bumblebee tracking. It incorporates an offline trained appearance descriptor along with a Kalman Filter for appearance and motion matching. Different detector architectures for upstream detections (You Only Look Once (YOLOv5), Faster Region Proposal Convolutional Neural Network (Faster R-CNN), and RetinaNet) are investigated in a comparative study to optimize performance. The detection models were trained on a dataset containing 11359 labeled bumblebee images. YOLOv5 reaches an Average Precision of AP = 53, 8%, Faster R-CNN achieves AP = 45, 3% and RetinaNet AP = 38, 4% on the bumblebee validation dataset, which consists of 1323 labeled bumblebee images. The tracker’s appearance model is trained on 144 samples. The tracker (with Faster R-CNN detections) reaches a Multiple Object Tracking Accuracy MOTA = 93, 5% and a Multiple Object Tracking Precision MOTP = 75, 6% on a validation dataset containing 2000 images, competing with state-of-the-art computer vision methods. The framework allows reliable tracking of different bumblebees in the same video stream with rarely occurring identity switches (IDS). MBT3D has much lower IDS than other commonly used algorithms, with one of the lowest false positive rates, competing with state-of-the-art animal tracking algorithms. The developed framework reconstructs the 3-dimensional (3D) flight paths of the bumblebees by triangulation. It also handles and compares two alternative stereo camera pairs if desired. Y1 - 2023 U6 - https://doi.org/10.1371/journal.pone.0291415 SN - 1932-6203 N1 - Corresponding author: Luc Nicolas Stiemer VL - 18 IS - 9 PB - PLOS CY - San Fancisco ER - TY - JOUR A1 - Müller-Veggian, Mattea A1 - Beuscher, H. A1 - Haenni, D. R. A1 - Lieder, R. M. T1 - Measurement of low-energy conversion eclectrons with the orange-ß-spectrometer JF - Annual report 1978 / Kernforschungsanlage Jülich Institut für Kernphysik / Hrsg.: A. Fässler. - (Spezielle Berichte der Kernforschungsanlage Jülich ; 36) Y1 - 1979 SP - 39 PB - Kernforschungsanlage CY - Jülich ER -