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Access to accurate GSM power spectrograms in large cities can be of great interest to mobile network operators. Acquiring such information in urban settings is very challenging mainly due to the large area and high dynamics of environments. In this paper, we propose a novel scheme to tackle the large-scale mobile sensing problem. We first utilize an open source GSM project to collect RSSI values of...
Droop control is used in dc micro-grids to share load among multiple sources but practical factors deteriorates the performance. In this paper, the impact from cable resistance and voltage regulation error is analyzed. Cable resistance introduces extra output resistance thus changes the load sharing ratio while voltage error introduces a constant current deviation. To suppress the sharing unbalance...
In order to experiment the performance of some popular ANN algorithms to OMIS (Operational Modular Imaging Spectrometer) hyperspectral image, three widely used ANNs, including Back Propagation Neural Network (BPNN), Radial Basis Function Neural Network (RBFNN), Fuzzy ARTMAP network and their improvements, are employed and compared. It is concluded that ANN classifiers perform much better than traditional...
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