Water heater
    35.
    外观设计

    公开(公告)号:USD990642S1

    公开(公告)日:2023-06-27

    申请号:US29816386

    申请日:2021-11-22

    申请人: Yu Xie

    设计人: Yu Xie

    摘要: FIG. 1 is a perspective view of a water heater design showing my new design.
    FIG. 2 is a front view of a water heater.
    FIG. 3 is a rear view of a water heater.
    FIG. 4 is a left side view of a water heater.
    FIG. 5 is a right side view of a water heater.
    FIG. 6 is a top view of a water heater.
    FIG. 7 is a bottom view of a water heater; and,
    FIG. 8 is a rear side perspective view of a water heater.
    The broken lines in the drawings depict portions of the water heater that form no part of the claimed design.

    Twiddle sensory toy
    36.
    外观设计

    公开(公告)号:USD956146S1

    公开(公告)日:2022-06-28

    申请号:US29713583

    申请日:2019-11-18

    申请人: Yu Xie

    设计人: Yu Xie

    Amplitude-based anomaly detection
    37.
    发明授权
    Amplitude-based anomaly detection 有权
    基于振幅的异常检测

    公开(公告)号:US08806313B1

    公开(公告)日:2014-08-12

    申请号:US13480084

    申请日:2012-05-24

    IPC分类号: G06F11/00

    摘要: Systems and methods are disclosed herein for identifying an anomaly in a signal, where samples in the signal correspond to an amount of data flow in a network within a time interval, and an anomaly corresponds to at least one sample in the discrete signal having a likelihood value below a likelihood threshold. A historical probability distribution of the discrete signal is generated based on previously received samples. For each sample in a plurality of samples in the discrete signal, a likelihood is computed based at least in part on the historical probability distribution. A likelihood threshold is selected, and a set of consecutive samples is identified as an anomaly when each sample in the set has a computed likelihood below the likelihood threshold.

    摘要翻译: 本文公开了用于识别信号中的异常的系统和方法,其中信号中的采样对应于在时间间隔内的网络中的数据流量,并且异常对应于具有似然性的离散信号中的至少一个采样 值低于似然阈值。 基于先前接收的样本生成离散信号的历史概率分布。 对于离散信号中的多个样本中的每个样本,至少部分地基于历史概率分布来计算似然性。 选择似然阈值,并且当集合中的每个样本具有低于似然阈值的计算似然率时,将一组连续样本识别为异常。