Aggregated network model with component network aggregation

    公开(公告)号:US10122583B2

    公开(公告)日:2018-11-06

    申请号:US14325695

    申请日:2014-07-08

    Abstract: Systems, methods, and other embodiments associated with aggregated network modeling with component network aggregation are described. In one embodiment, a method for modeling an aggregated network includes storing a first set of nodes associated with a first network and a first set of links associated with the first network, wherein each link in the first set of links connects a pair of nodes in the first set of nodes. A second set of nodes associated with a second network and a second set of links associated with the second network are also stored. A set of transfer links is stored. Each transfer link connects a node in the first network to a node in the second network. Metadata defines the aggregated network as the first set of nodes, the first set of links, the second set of nodes, the second set of links, and the set of transfer links.

    System and method providing a scalable and efficient space filling curve approach to point cloud feature generation

    公开(公告)号:US10372728B2

    公开(公告)日:2019-08-06

    申请号:US15267275

    申请日:2016-09-16

    Abstract: Systems, methods, and other embodiments are disclosed for identifying features within point cloud data. In one embodiment, point cloud data is read which represents multiple points of at least one point cloud in a multi-dimensional space. Each point in the point cloud data is defined by an attribute value quantifying an attribute of the point and a set of coordinates specifying a location of the point in the multi-dimensional space. The set of coordinates for each point is transformed into a space-filling distance value representing a distance along a space-filling curve. The points are sorted according to the space-filling distance values to generate a sorted order of the points. The points are traversed in the sorted order and output data points are derived, while traversing the points, based on a specified feature criterion. The output data points identify a feature within the at least one point cloud.

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