ATTENTION BASED SEQUENTIAL IMAGE PROCESSING
    82.
    发明申请

    公开(公告)号:US20200160183A1

    公开(公告)日:2020-05-21

    申请号:US16773456

    申请日:2020-01-27

    Abstract: Techniques facilitating attention based sequential image processing are provided. A system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an initialization component that can perform self-attention based training on a model that comprises context information associated with a sequence of images. Images of the sequence of images can be selected during the self-attention based training. The computer executable components can also comprise a localization component that can extract local information from the images selected during the self-attention based training based on the context information. In addition, the computer executable components can also comprise an integration component that can update the model based on an end-to-end integrated attention training framework comprising the context information and the local information.

    Verifying a road network of a map
    83.
    发明授权

    公开(公告)号:US10222217B2

    公开(公告)日:2019-03-05

    申请号:US15176343

    申请日:2016-06-08

    Abstract: The present disclosure relates to a computer program product for verifying the road network of map. An embodiment of the present invention provides a method for verifying a road network of a map. The method comprises: determining, based on locations of a set of points in the map, a trajectory distance of a trajectory between a start point and an end point in the set of points on the map; determining a route distance between the start point and the end point in the road network of the map; and verifying the road network by comparing the trajectory distance and the route distance.

    Voltage control utilizing multiple PWM patterns

    公开(公告)号:US10097090B1

    公开(公告)日:2018-10-09

    申请号:US15826793

    申请日:2017-11-30

    Abstract: A power-delivery system may comprise a load device and a direct-current converter configured to deliver current to the load device when the direct-current converter is in an on state. The power-deliver system may comprise a voltage-measurement system configured to measure, at a beginning of each measurement cycle in a cyclic measurement pattern, a voltage at the load device. The power-deliver system may comprise a power controller configure to receive, at the beginning of each measurement cycle, the measurement of the voltage, and to perform, at the beginning of a control cycle in a cyclic control pattern, a voltage-control decision in response to a change in the measurement of the voltage being below a voltage-change threshold. The voltage-control decision may comprise whether to switch the state of the first direct-current converter. The cyclic control pattern may operate at a first frequency, and the measurement pattern may operate at a second frequency.

    Verifying a road network of a map
    86.
    发明授权

    公开(公告)号:US10030984B2

    公开(公告)日:2018-07-24

    申请号:US15221751

    申请日:2016-07-28

    Abstract: The present disclosure relates to a computer implemented method, a computer program product, and a computer system for verifying the road network of map. An embodiment of the present invention provides a method for verifying a road network of a map. The method comprises: determining, based on locations of a set of points in the map, a trajectory distance of a trajectory between a start point and an end point in the set of points on the map; determining a route distance between the start point and the end point in the road network of the map; and verifying the road network by comparing the trajectory distance and the route distance.

    DUST EMISSION FORECASTING
    87.
    发明申请

    公开(公告)号:US20180149770A1

    公开(公告)日:2018-05-31

    申请号:US15362225

    申请日:2016-11-28

    CPC classification number: G01N33/0062

    Abstract: Techniques for generating dynamic dust emission risk index values via construction and use of a dynamic dust emission risk index model are provided. In one example, a computer-implemented method comprises generating, by a system operatively coupled to a processor, a dynamic dust emission risk index value based on a dynamic dust emission risk index model. The computer implemented method also includes supplying, by the system, the dynamic dust emission risk index value to an air quality model. Additionally, the computer implemented method further comprises generating, by the system, a dust emission forecast based on the air quality model.

    WHITE BOX TESTING
    88.
    发明申请

    公开(公告)号:US20180089070A1

    公开(公告)日:2018-03-29

    申请号:US15677189

    申请日:2017-08-15

    CPC classification number: G06F11/3684 G06F11/3676 G06F11/3688

    Abstract: The source code of a software artifact may be scanned, and a call tree model with leaf nodes may be generated based on the scan. A set of test cases can be executed against the software artifact and log data from the execution can be collected. A set of untested leaf nodes can be detected and a new set of test cases can be generated to test the untested nodes. The new set of test cases are executed and a subset of the test cases which cover the previously untested nodes are added to the existing set of test cases.

    MECHANISM AND APPARATUS OF SPATIAL ENCODING ENABLED MULTI-SCALE CONTEXT JOIN

    公开(公告)号:US20180032597A1

    公开(公告)日:2018-02-01

    申请号:US15221723

    申请日:2016-07-28

    Abstract: A hierarchical spatial encode structure stored on a computing device is disclosed. The hierarchical spatial encode structure includes a plurality of scale levels having a plurality of encode expressions for a multi-scale context. The encode expressions on a first of the scale levels may include a first length. The encode expressions on a second of the scale levels may include a second length greater than the first length. Each encode expression of the second of the scale levels may include one or more of the encode expressions of the first of the scale levels. A context of the first of the scale levels may have a contain/nest (contained) spatial relation to a context of the second of the scale levels.

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