We introduce a wing-strain-based flight controller that employs the aerodynamic forces exerted on a flapping drone's wings to deduce vital flight data such as attitude and …
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WhatsApp: +86 18221755073Machine learning (ML) has been increasingly used to aid aerodynamic shape optimization (ASO), thanks to the availability of aerodynamic data and conti…
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WhatsApp: +86 18221755073Download scientific diagram | 2: Machine direction ( MD) and cross direction ( CD) stress-strain curves of a paper sample [Jimenez-Caballero et al. (2009)]. from publication: Development and ...
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WhatsApp: +86 18221755073The wing strain was measured during flapping under seven different wind directions (0°, 15°, 30°, 45°, 60°, 75°, and 90°) and one no-wind condition. A convolutional neural network (CNN) model was used for machine learning of …
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WhatsApp: +86 18221755073Researchers at the Institute of Science Tokyo have developed a method to detect wind direction with 99% accuracy using seven strain gauges on the flapping wing and a convolutional neural network model.
WhatsApp: +86 18221755073This picture shows how the wing must twist in the downstroke, to keep each part of the wing aligned with the local direction of travel. Airplane propellers also have a twisted shape, but …
WhatsApp: +86 18221755073From the perspective of aeronautical engineers, this paper gives a systematical summary of the technical aspects of flight that should be conside…
WhatsApp: +86 18221755073Representation of a flapping-wing environment, where the actions are motor torques, the dynamics are based on Newton's 2nd law of motion and a QS model for the drag, …
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WhatsApp: +86 18221755073Direction-aware Spatial Context Features for Shadow Detection Xiaowei Hu1,∗, Lei Zhu2,∗, Chi-Wing Fu1,3, Jing Qin2, and Pheng-Ann Heng1,3 1 Department of Computer Science and …
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