Correlating devices and clients across addresses

    公开(公告)号:US11632671B2

    公开(公告)日:2023-04-18

    申请号:US17215138

    申请日:2021-03-29

    Abstract: Correlating devices and clients across addresses may be provided. A first address associated with a client device may be received. When the client device is not connected to a network, first location data associated with the first address may be obtained using a passive technique. A second address and second location data associated with the second address may then be obtained using an active technique. It may then be determined that the first location data and the second location data correlate. In response to determining that the first location data and the second location data correlate, it may be determined that the client device has changed from the first address to the second address.

    CORRELATING DEVICES AND CLIENTS ACROSS ADDRESSES

    公开(公告)号:US20220312192A1

    公开(公告)日:2022-09-29

    申请号:US17215138

    申请日:2021-03-29

    Abstract: Correlating devices and clients across addresses may be provided. A first address associated with a client device may be received. When the client device is not connected to a network, first location data associated with the first address may be obtained using a passive technique. A second address and second location data associated with the second address may then be obtained using an active technique. It may then be determined that the first location data and the second location data correlate. In response to determining that the first location data and the second location data correlate, it may be determined that the client device has changed from the first address to the second address.

    Orthogonal frequency-division multiplexing equalization using deep neural network

    公开(公告)号:US11005697B2

    公开(公告)日:2021-05-11

    申请号:US16558942

    申请日:2019-09-03

    Abstract: Orthogonal frequency-division multiplexing (OFDM) equalization using a Deep Neural Network (DNN) may be provided. First, a signal in a packet structure may be received at an OFDM receiver from an OFDM transmitter. The signal may have distortion. Training constellation points, pilot constellation points, and data constellation points may be extracted from the signal based on the packet structure. Each data constellation point may correspond to a data subcarrier within a data symbol of the signal. Next, the training constellation points and the pilot constellation may be provided as input for the data symbol to a DNN. A coefficient for each data subcarrier within the data symbol that reverses the distortion may be received as output from the DNN. Then, the coefficient for each data subcarrier may be applied to the corresponding data constellation point to determine a per subcarrier constellation point prediction.

    Intelligent vehicle control for wireless power transfer (WPT)

    公开(公告)号:US10369893B2

    公开(公告)日:2019-08-06

    申请号:US15790687

    申请日:2017-10-23

    Abstract: In some embodiments, a device in a network receives vehicle characteristic data regarding one or more autonomous vehicles. Each autonomous vehicle of the one or more autonomous vehicles is equipped with a vehicle-based charging coil configured to receive electrical power from a ground-based charging coil of a wireless power transfer (WPT) system. The device, based on the received vehicle characteristic data, identifies one or more ground-based charging coils of the WPT system available to provide power to the one or more autonomous vehicles. The device determines driving parameters for the one or more autonomous vehicles to optimize power transfer from the one or more ground-based charging coils to the one or more autonomous vehicles. The device sends the driving parameters to the one or more autonomous vehicles to control movement of the one or more autonomous vehicles.

    Intelligent coil control for vehicle wireless power transfer (WPT)

    公开(公告)号:US10343536B2

    公开(公告)日:2019-07-09

    申请号:US15790308

    申请日:2017-10-23

    Abstract: In some embodiments, a device in a network receives vehicle characteristic data regarding a set of vehicles. The device identifies, based on the received vehicle characteristic data regarding the set of vehicles, a particular ground-based charging coil with which charging coils of the set of vehicles are expected to be in a close proximity. The device determines, based on the received vehicle characteristic data regarding the set of vehicles, a set of power levels and times at which the particular ground-based charging coil is to be powered. The device dynamically controls the particular ground-based charging coil to be powered at the determined set of power levels and times.

    INTELLIGENT COIL CONTROL FOR VEHICLE WIRELESS POWER TRANSFER (WPT)

    公开(公告)号:US20190039463A1

    公开(公告)日:2019-02-07

    申请号:US15790308

    申请日:2017-10-23

    CPC classification number: B60L53/12 B60L53/122 H02J7/025

    Abstract: In some embodiments, a device in a network receives vehicle characteristic data regarding a set of vehicles. The device identifies, based on the received vehicle characteristic data regarding the set of vehicles, a particular ground-based charging coil with which charging coils of the vehicles are expected to be in close proximity. The device determines, based on the received vehicle characteristic data regarding the set of vehicles, a set of power levels and times at which the particular ground-based charging coil is to be powered. The device dynamically controls the ground-based charging coil to be powered at the determined power levels and times.

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