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    SOFTWARE-DEFINED SENSING
    1.
    发明申请
    SOFTWARE-DEFINED SENSING 有权

    公开(公告)号：US20220027204A1

    公开(公告)日：2022-01-27

    申请号：US17498150

    申请日：2021-10-11

    Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

    Inventor： Mehran Kafai ,  Wen Yao ,  April Slayden Mitchell

    IPC: G06F9/50

    Abstract: Low-level nodes (LLNs) that are communicatively connected to one another each have sensing capability and processing capability. High-level nodes (HLNs) that are communicatively connected to one another and to the LLNs each have processing capability more powerful than the processing capability of each LLN. The LLNs and the HLNs perform processing based on sensing events captured by the LLNs. The processing is performed by the LLNs and the HLNs to minimize data communication among the LLNs and the HLNs, and to provide for software-defined sensing.

    PROXIMITY OF DATA TERMS BASED ON WALSH-HADAMARD TRANSFORMS
    3.
    发明申请
    PROXIMITY OF DATA TERMS BASED ON WALSH-HADAMARD TRANSFORMS 审中-公开

    公开(公告)号：US20170206202A1

    公开(公告)日：2017-07-20

    申请号：US15324058

    申请日：2014-07-23

    Applicant: Hewlett Packard Enterprise Development LP

    Inventor： Mehran Kafai ,  Wen Yao

    IPC: G06F17/30

    CPC classification number: G06F16/24578 ,  G06F16/2228 ,  G06F16/24534 ,  G06F16/285

    Abstract: Determining proximity of data terms based on Walsh-Hadamard transforms is disclosed. One example is a system including a modifier, a Walsh-Hadamard transformer, an indexer, and an evaluator. A dataset, including a plurality of numerical data terms, is received via a processing system. The modifier extends a given data term of the plurality of data terms, the extension based on multiple concatenations of the given data term with itself. The Walsh-Hadamard transformer provides coefficients of the Walsh-Hadamard transform of the modified given data term. The indexer provides a set of keys based on the coefficients, and associates the set of keys with the given data term. The evaluator determines a similarity measure for a pair of data terms of the plurality of data terms, the similarity measure based on a number of overlaps between respective sets of keys, and indicative of proximity of the pair of data terms.

    SOFTWARE-DEFINED SENSING
    4.
    发明申请
    SOFTWARE-DEFINED SENSING 审中-公开

    公开(公告)号：US20170208127A1

    公开(公告)日：2017-07-20

    申请号：US15324052

    申请日：2014-07-25

    Applicant: Hewlett Packard Enterprise Development LP

    Inventor： Mehran Kafai ,  Wen Yao ,  April Slayden Mitchell

    IPC: H04L29/08

    CPC classification number: H04L67/12 ,  H04L12/28 ,  H04L12/44 ,  H04L12/66 ,  H04L67/1008 ,  H04W4/70

    Abstract: Low-level nodes (LLNs) that are communicatively connected to one another each have sensing capability and processing capability. High-level nodes (HLNs) that are communicatively connected to one another and to the LLNs each have processing capability more powerful than the processing capability of each LLN. The LLNs and the HLNs perform processing based on sensing events captured by the LLNs. The processing is performed by the LLNs and the HLNs to minimize data communication among the LLNs and the HLNs, and to provide for software-defined sensing.

    INTERACTIVE SEQUENTIAL PATTERN MINING
    5.
    发明申请
    INTERACTIVE SEQUENTIAL PATTERN MINING 审中-公开

    公开(公告)号：US20170161337A1

    公开(公告)日：2017-06-08

    申请号：US15325493

    申请日：2014-08-18

    Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

    Inventor： Wen Yao ,  Mehran Kafai ,  April Slayden Mitchell

    IPC: G06F17/30

    CPC classification number: G06F16/2465 ,  G06F16/24578 ,  G06F16/2474 ,  G06F16/248 ,  G06F16/26

    Abstract: Interactive sequential pattern mining is disclosed. One example is a system including a sequence miner, and an interaction processor. A sequence database is received, the sequence database including a plurality of input sequences, where each sequence of the plurality of input sequences is an ordered list of events, and each event in the list of events includes at least one item. The sequence miner mines the sequence database for a plurality of candidate sequence patterns, the mining based on an interaction with a user. The interaction processor processes the interaction with the user, the interaction based on domain relevance of the plurality of candidate sequence patterns to the user.

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