Method and system for secure encryption

    公开(公告)号:US10985906B2

    公开(公告)日:2021-04-20

    申请号:US15880566

    申请日:2018-01-26

    Abstract: A method executed by a computer system that transmits a multimedia content through a negative-base number. The method includes generating a binary sequence for the multimedia content, converting the binary sequence into a negative-base number, receiving the negative-base number, retrieving a negative base of the negative base number, calculating the binary sequence based on the negative-base number and the negative base, and obtaining the multimedia content based on the binary sequence.

    Method for coding data
    4.
    发明授权

    公开(公告)号:US09755661B1

    公开(公告)日:2017-09-05

    申请号:US15238033

    申请日:2016-08-16

    CPC classification number: H03M7/3082 G09G5/02 G09G5/24 G10L19/018

    Abstract: A method for coding data includes: representing a first data in digital form as digital information; transforming the digital information into a first Gaussian integer; determining a relationship between the first Gaussian integer and a second Gaussian integer; and deriving, based on the determined relationship, a key for converting between the first Gaussian integer and the second Gaussian integer so as to associate the first data with a second data represented by the second Gaussian integer. The present invention also provides a system and a non-transient computer readable medium for implementing the method.

    Omnidirectional roughness algorithm for topographic signature analysis of lunar craters

    公开(公告)号:US10354398B2

    公开(公告)日:2019-07-16

    申请号:US15367158

    申请日:2016-12-01

    Abstract: A method executed by a computer system to construct an omnidirectional roughness (OR) map of a lunar crater based on a data set of a digital elevation model (DEM) of surface textures of the lunar crater is provided. The method includes setting a center and a first point of the data set, selecting a moving window, utilizing a one point-to-point step when the moving window slides over the DEM, calculating a morphological surface roughness (MSR) that detects a vertical roughness of the lunar crater, calculating a topographic frequency coefficient (TFC) that detects a horizontal roughness of the lunar crater, constructing the OR map, and displaying the OR map to show a surface roughness of the lunar crater.

    Lunar brightness temperature modeling based on the microwave radiometer data

    公开(公告)号:US10346565B2

    公开(公告)日:2019-07-09

    申请号:US15364239

    申请日:2016-11-29

    Inventor: Zhanchuan Cai

    Abstract: A computer system executes hierarchical MK splines approximation for lunar brightness temperature (TB) data approximation. The computer system constructs a TB model map by generating a final approximation function for constructing an interpolated surface that approximates the TB data set obtained by lunar probe. The method includes executing MK splines approximation to the TB data set with a hierarchy of control lattice from coarsest lattice to densest lattice to iteratively obtain approximation functions. The TB model map is constructed by generating a final approximation function to construct the interpolated surface.

    DEVICE AND A METHOD FOR CREATING AN IMAGE
    7.
    发明申请

    公开(公告)号:US20180101934A1

    公开(公告)日:2018-04-12

    申请号:US15286997

    申请日:2016-10-06

    CPC classification number: G06T3/4038 G06T7/174 G06T7/73 G06T2200/32

    Abstract: A method for creating an image includes identifying data representing an overlapping region in each of a first set and second set of image data, wherein the first and second sets of image data are arranged to represent a first image and a second image respectively, and at least one common feature in both the first image and the second image is identified in the overlapping region. A portion of the data representing a portion of the overlapping region in each of the first and the second sets of image data is discarded to obtain a first set and a second set of modified image data. The first and the second sets of modified image data are combined to a third set of image data arranged to represent a third image including at least a portion of each of the first image and the second image.

    Method for improving calculations of surface roughness

    公开(公告)号:US10580150B2

    公开(公告)日:2020-03-03

    申请号:US15894956

    申请日:2018-02-13

    Abstract: Example embodiments include a method that improves calculations of surface roughness that map a planetary surface. The method includes calculating a V-system matrix with a size of α×α in an interval [0,1]; transforming the V-system matrix into an orthogonal matrix; improving calculations of the surface roughness of the planetary surface by calculating the surface roughness of a digital elevation model generated from data captured from the planetary surface; and generating a map of the planetary surface based on the surface roughness.

    Method for improving computations of correlation values between surface roughness and terrain parameters

    公开(公告)号:US20190244104A1

    公开(公告)日:2019-08-08

    申请号:US15886860

    申请日:2018-02-02

    CPC classification number: G06N3/084 G06F17/156 G06F17/16

    Abstract: One embodiment is a method that improves computations of correlation values between a surface roughness and terrain parameters of a terrain surface. The method includes applying the terrain parameters as an input of a Back Propagation Neural Network (BPNN) and the surface roughness as an output of the BPNN; implementing a nonlinear mapping from the input to the output of the BPNN; generating a weight matrix (ω1) and a weight matrix (ω2); and improving computations of the correlation values by calculating a correlation matrix by ω2×ω1, calculating a unit weight which is a sum of absolute values in the correlation matrix, and dividing each value in the correlation matrix by the unit weight.

    Methods and apparatus for image construction

    公开(公告)号:US10332279B2

    公开(公告)日:2019-06-25

    申请号:US15448591

    申请日:2017-03-03

    Abstract: A method constructs an image with improved peak signal-to-noise ratio (PSNR) from a scattered pixel set. The method generates an approximation function that is a linear combination of a plurality of Many-Knot (MK) spline basis functions, and constructs the image with improved PSNR by conducting a least squares treatment on the approximation function to minimize a residual of each pixel value in the scattered pixel set from the approximation function.

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