Power supply voltage detector, power supply voltage detection apparatus, system and medium

    公开(公告)号:US11761996B2

    公开(公告)日:2023-09-19

    申请号:US17732824

    申请日:2022-04-29

    Applicant: Lemon Inc.

    CPC classification number: G01R19/2513 G05F1/10 H03K3/037

    Abstract: The application provides an apparatus, a system, a detector and a detection method for power supply voltage detection. The apparatus connected to an integrated circuit power supply network comprises: a power supply voltage detector, comprising: N buffers, wherein an input terminal of a first buffer is connected to a clock signal, and output terminals of other buffers are connected to the input terminal of an adjacent buffer; N latch chains, each of which comprises M latches, wherein a clock input terminal of each latch is connected to a clock signal, a D terminal of a first latch of each latch chain is connected to the output terminal of a corresponding buffer, and Q terminals of other latches are connected to the D terminal of an adjacent latch, wherein M and N are positive integers, the VDD terminal of each latch is connected to an area in an integrated circuit power supply network where a power supply voltage is to be detected, and a grounding terminal of each latch is connected to a ground; and a voltage regulation module connected to the Q terminal of each latch and configured to detect data output of each latch to determine a magnitude of a power supply voltage.

    OFFLOADING KNOWLEDGE BASE CREATION
    274.
    发明公开

    公开(公告)号:US20230281476A1

    公开(公告)日:2023-09-07

    申请号:US18098611

    申请日:2023-01-18

    CPC classification number: G06N5/022 G06N5/041

    Abstract: The present disclosure describes techniques for offloading knowledge base creation into a storage space. A sequence of patterns in a data stream may be identified based on a time dimension of the data stream by data processing units (DPUs) without an initiation from a Central Processing Unit (CPU). The DPUs may be associated with the storage space. The DPUs may recognize a plurality of information contexts corresponding to the sequence of patterns based on analyzing neighboring patterns of any particular pattern in the sequence of patterns. The DPUs may determine causal relations among the sequence of patterns based on detecting repetitions of any pair of information contexts among the plurality of information contexts. The causal relations may comprise a plurality of reason-consequence pairs. Knowledge of causal relationships associated with the data stream may be used to predict future states of the data stream.

    SYNCHRONIZING MULTIPLE INSTANCES OF PROJECTS
    277.
    发明公开

    公开(公告)号:US20230229443A1

    公开(公告)日:2023-07-20

    申请号:US17578299

    申请日:2022-01-18

    Applicant: Lemon Inc.

    CPC classification number: G06F8/77 H04L7/0016

    Abstract: The present disclosure describes techniques for synchronizing multiple instances of projects. At least one Transmission Control Protocol (TCP) connection may be established between a server computing device and at least one client computing device. At least one dual instance command may be created. The at least one dual instance command comprises data associated with a project and information indicating how to interpret the data. A plurality of instances of the project may be synchronized between the server computing device and the at least one client computing device by transmitting the at least one dual instance command between the server computing device and the at least one client computing device via the at least one TCP connection.

    Website similarity determination
    279.
    发明授权

    公开(公告)号:US11675873B1

    公开(公告)日:2023-06-13

    申请号:US17809513

    申请日:2022-06-28

    Applicant: Lemon Inc.

    CPC classification number: G06F16/958 G06F16/954

    Abstract: There are provided methods, devices, and computer program products for similarity determination. In a method, first and second access data are obtained for a first and a second group of users who access a first and a second website, respectively. A first and a second jump path are generated for the first and second groups of users based on the first and second access data, respectively. The first and second jump paths describe access history for the first and second groups of users among webpages in the first and second websites, respectively. A similarity is determined between the first and second websites based on the first and second jump paths. Here, access data are used for similarity determination and unvisited webpages are not considered in the similarity determination. Therefore, the computation workload may be lowered, and the noise caused by the unvisited webpages may be reduced.

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