METHOS, SYSTEM AND COMPUTER PROGRAM PRODUCT FOR GENERATING A TWO DIMENSIONAL FOG MAP FROM CELLULAR COMMUNICATION NETWORK INFORMATION

    公开(公告)号:US20190293572A1

    公开(公告)日:2019-09-26

    申请号:US15925798

    申请日:2018-03-20

    Abstract: A computerized method for generating a two-dimensional fog map of a region from a near-ground sensors network of commercial microwave links (CMLs), the region is virtually segmented to a grid of multiple pixels, the method comprises: collecting received signals levels from the CMLs, deriving the links' attenuation that are spread within multiple pixels of the region; calculating the fog induced attenuation attribute for each pixel out of a plurality of pixels of the region based on the microwave attenuation information and deciding if exists; wherein the plurality of pixels belong to the multiple pixels; and generating the two-dimensional fog map of the region based, at least in part, on the plurality of microwave attenuation attributes and the topography of the region; improving the 2-D fog map using information from other types of sensors, if exist.

    METHOD AND SYSTEM FOR COMPARING SEQUENCES
    295.
    发明申请

    公开(公告)号:US20190265955A1

    公开(公告)日:2019-08-29

    申请号:US16318143

    申请日:2017-07-21

    Inventor: Lior WOLF

    Abstract: A method of comparing sequences, comprises: inputting a first set of sequences and a second set of sequences; applying an encoder to each set to encode the set into a collection of vectors, each representing one sequence of the set; constructing a grid representation having a plurality of grid-elements, each comprises a vector pair composed of one vector from each of the collections; and feeding the grid representation into a convolutional neural network (CNN), constructed to simultaneously process all vector pairs of the grid representation, and to provide a grid output having a plurality of grid-elements, each defining a similarity level between vectors in one grid-element of the grid representation.

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