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The shared data is from a designed LVDCCB MOV test platform. It conducts repeated tests on the LVDCCB, so not only test data but also component degradations and failure modes could be learned. The shared data set is standard waveforms of an LVDCCB. The setup and its control scheme is introduced in the research article. These data are examplary, showing typical shapes of LVDCCB waveforms. The data are captured without snubber branch of the LVDCCB, which is added later for consistency.
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With the increased use of high-spatial-resolution (HSR) images for vegetation monitoring in arid areas, more details of the low vegetation coverage and interference from the land “background” are captured in the corresponding images. From computational time and accuracy, the multi-angle method (MAM) in the pixel dichotomy model is apotential algorithm to apply in arid areas, but MAMneeds the multi-angle vegetation index (VI) as the driver parameters.
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Although Unmanned Aerial Vehicles (UAVs) have long been recognized as systems to effectively deliver advanced and innovative services, their practical application to Beyond Line-of-Sight (BLOS) use cases is still largely missing due to safety concerns and regulations. Indeed, BLOS applications for UAVs require a reliable infrastructure that is capable of ensuring ubiquitous connectivity, low latency, and high data rates.
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