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[1] A complete model is proposed to analyze the electron density perturbation caused by tsunami-induced gravity waves. Loss mechanisms of thermal conduction, viscosity, and ion drag are considered in deriving the dispersion relation of the atmospheric gravity waves (AGWs). This model is then used to analyze the electron density perturbation in the ionosphere caused by the Sumatra tsunami on 26 December 2004. It is found that the AGWs move horizontally at the same speed with that of the tsunami and are trapped at about 400 km high. The simulation results well explain that about 13 min after the tsunami triggers AGWs, electron density perturbation in the ionosphere can be detected by satellites that pass over.

Several versions of convolutional neural network (CNN) were developed to classify hyperspectral images (HSIs) of agricultural lands, including 1D-CNN with pixelwise spectral data, 1D-CNN with selected bands, 1D-CNN with spectral-spatial features and 2D-CNN with principal components. The HSI data of a crop agriculture in Salinas Valley and a mixed vegetation agriculture in Indian Pines were used to compare the performance of these CNN algorithms. The highest overall accuracy on these two cases are 99.8% and 98.1%, respectively, achieved by applying 1D-CNN with augmented input vectors, which contain both spectral and spatial features embedded in the HSI data.

A dualband dielectric resonator antenna (DRA) is designed by splitting a rectilinear dielectric resonator (DR) and carving notches off the DR. It is observed that notches engraved at different positions affect different modes. Removal of dielectric material from where the electric field is strong incurs a significant increase in resonant frequency. The abrupt change of normal electric field across the discontinuities reduces the -factor and increases the impedance bandwidth. Both the TE 111 and TE 113 modes incur broadside radiation patterns on the -plane. The proposed DRA can cover both the worldwide interoperability for microwave access (WiMAX, 3.4-3.7-GHz) and the wireless local area network (WLAN, 5.15-5.35-GHz) bands.