The electromagnetic scattering of rotating blades is investigated both theoretically and experimentally. We have developed an analytical method based on physical optics (PO) and the method of equivalent currents (MEC), in conjunction with the quasi-stationary method. We have predicted the bistatic field scattered by a multiple skew-plated rotating fan. Comparisons with a numerical calculation based on the method of moments and with measurements have given very satisfactory results. A comparison with previously published results has also been carried out. Physical interpretations are given both in time and frequency domains. Our analytical model correctly predicts the spreading and magnitude of the frequency response as a function of the scatterer's skew angles, its rotation frequency, and the directions of incidence and scattering.
There are many privacy concerns within Intelligent Transport Systems (ITS). On the one hand, end-users are concerned about their privacy risk exposure, while on the other hand, ITS providers need to claim privacy awareness and document compliance with regulations or otherwise face devastating fines. One approach to address these concerns is to use methods specifically developed to assess privacy risks of ITS. The literature lacks such methods, and the complex and dynamic nature of ITS introduces challenges that need to be properly addressed when assessing privacy risks. The main challenges are related to real-time assessment of privacy risks to (1) inform end-users about exposed privacy risks, and (2) help providers asses privacy-compliance risks. We propose a method to privacy risk assessment addressing these challenges. The method is exemplified on an ITS-example. The initial results indicate feasibility of the method and propose directions for future work.
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