EFFICIENT REPAIR OF ERASURE CODED DATA BASED ON COEFFICIENT MATRIX DECOMPOSITION

    公开(公告)号:US20180121286A1

    公开(公告)日:2018-05-03

    申请号:US15340128

    申请日:2016-11-01

    CPC classification number: G06F11/1076 H03M13/154 H03M13/616

    Abstract: A controller device is configured to communicate with storage nodes of a distributed storage system (DSS) in which erasure codes are used to encode source data onto the storage nodes and ranks of matrices containing coding coefficients associated with the erasure codes indicate whether repairs of failed storage nodes of the DSS are feasible. A decomposition structure is generated to be used as a guide for transforming the matrices to upper triangle form (UTF) for use in computing the ranks of the matrices. While the DSS is operating to perform repairs of the failed storage nodes, as part of determining feasible repair strategies that will preserve subsequent repairs of failed storage nodes, the ranks of the matrices are computed by transforming the matrices to UTF using operations on the submatrices according to the decomposition structure.

    CORRELATING DEVICES AND CLIENTS ACROSS ADDRESSES

    公开(公告)号:US20230254687A1

    公开(公告)日:2023-08-10

    申请号:US18301937

    申请日:2023-04-17

    CPC classification number: H04W8/26 H04W8/02 H04W84/12

    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:US20210067397A1

    公开(公告)日:2021-03-04

    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.

    Augmenting Wi-Fi Localization with Auxiliary Sensor Information

    公开(公告)号:US20170188194A1

    公开(公告)日:2017-06-29

    申请号:US15397407

    申请日:2017-01-03

    CPC classification number: H04W4/023 H04L61/6022 H04W4/025 H04W8/26 H04W84/12

    Abstract: In one implementation, a method of maintaining continuous identity for mobile devices includes: obtaining a first address for a first device; and obtaining, from one or more auxiliary sensors, auxiliary sensor information related to the first device. The method also includes determining whether the auxiliary sensor information matches information associated with a second address, where the second address was previously associated with the first device. The method further includes linking the first address with the second address for the first device, in order to continue tracking the first device when the second address is no longer detected, in response to determining that the auxiliary sensor information matches information associated with the second address.

    Mixed qualitative, quantitative sensing data compression over a network transport

    公开(公告)号:US11463557B2

    公开(公告)日:2022-10-04

    申请号:US17128374

    申请日:2020-12-21

    Abstract: In one embodiment, a device in a serial network de-multiplexes a stream of traffic in the serial network into a plurality of data streams. The device determines that data from a particular data stream should be reported to an entity external to the serial network based on an event indicated by the data from the particular data stream. The device quantizes the data from the particular data stream. The device applies compression to the quantized data to form a compressed representation of the particular data stream. The applied compression is selected based on a data type associated with the data. The device sends a compressed representation of the particular data stream to the external entity as Internet Protocol (IP) traffic.

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