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It is shown that the proposed trust management system is effective in identifying polluters and preventing them from further sharing of polluted data chunks.
Clean data are prepared through running a Thomas' river water quality model and polluted data are synthesized by mixing clean data with white Gaussian noises.
The results show that WMAT will not distort the clean data, and can effectively reduce the noise in the polluted data.
Numerical examples using simulated noise polluted data of 2D truss and frame models confirm that the proposed method is able to successfully update structural models even in the presence of mass modeling errors.
It is also indicated that the parameters estimated with the denoised data through WMAT are much closer to real values than those (1) with polluted data through WMAT and (2) with data through Fourier analysis technique.
In the graph below, I'm looking only at cities that are registering at above the WHO's recommended 25 µg/m³ in the "most polluted" data.
Similar(54)
Mortality and air pollution data were obtained for a highly polluted region of the Czech Republic and a rural region in Germany.
The Unicef study combined particle pollution data from a range of satellites with ground-level monitors to estimate the number of children in polluted areas.
The simulated data polluted with 10percentt random noise considering four different conditions: (i) un-correlated noise with Gaussian distribution (ii) noise with non-Gaussian exponential distribution (iii) noise with non-Gaussian Log-normal distribution and (iv) correlated colored noise.
A least-square algorithm method with appropriate normalization is used for solving the over-determined system of equations with noise-polluted data.
The validity of the method is demonstrated by numerical simulation on a single-degree-of-freedom and a three-degree-of-freedom system with both noise-free data and noise-polluted data.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com