Obtaining data reception parameters on-demand in a multiple interface network

    公开(公告)号:US10104712B2

    公开(公告)日:2018-10-16

    申请号:US15387607

    申请日:2016-12-21

    Abstract: In a multi-PHY, low power and lossy network comprising a plurality of nodes, a sender determines that a dwell time threshold limit for transmission of data will be exceeded by transmission of the data over a first network interface or that the recipient is unknown. The sender determines transmission parameters for the transmission of the data over the first network interface and transmits the transmission parameters to a receiver device over a second network interface that is different than the first network interface. The sender determines a channel on the first network interface for transmission of the data and transmits the determined channel with the transmission parameters to the receiver, or the receiver determines the channel on the first network interface for transmission of the data and transmits an indication of the determined channel to the sender in response to receiving the transmission parameters.

    SPARSE CODING OF HIDDEN STATES FOR EXPLANATORY PURPOSES

    公开(公告)号:US20180278487A1

    公开(公告)日:2018-09-27

    申请号:US15466969

    申请日:2017-03-23

    Abstract: In one embodiment, a device in a network maintains a machine learning-based recursive model that models a time series of observations regarding a monitored entity in the network. The device applies sparse dictionary learning to the recursive model, to find a decomposition of a particular state vector of the recursive model. The decomposition of the particular state vector comprises a plurality of basis vectors. The device determines a mapping between at least one of the plurality of basis vectors for the particular state vector and one or more human-readable interpretations of the basis vectors. The device provides a label for the particular state vector to a user interface. The label is based on the mapping between the at least one of the plurality of basis vectors for the particular state vector and the one or more human-readable interpretations of the basis vectors.

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