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    • 4. 发明申请
    • PERFUSION REGULATION DEVICE
    • 灌注调节装置
    • US20110066092A1
    • 2011-03-17
    • US12992605
    • 2009-05-12
    • Bastiaan Wilhelmus Maria MoeskopsYan LiuKiran Kumar ThummaGolo Von Basum
    • Bastiaan Wilhelmus Maria MoeskopsYan LiuKiran Kumar ThummaGolo Von Basum
    • A61H9/00B23P17/04
    • A61B5/0261A61B5/0053A61B5/14532A61B5/14546A61B5/6843Y10T29/49826
    • A perfusion, regulation device (10) for regulating tissue perfusion at a target site (2) on a human or animal body. The perfusion regulation device (10) comprises a pressure regulator (4) for determining and regulating pressure exerted by the perfusion regulation device (10) on the target site (2) and a perfusion monitor (5) for measuring tissue perfusion at the target site (2). The perfusion regulation device (10) furthermore comprises a control system (6) for driving the pressure regulator (4) so as to regulate pressure exerted by the perfusion regulation device (10) to the target site (2) thereby using feedback from the perfusion monitor (5). There is also a method for making such a perfusion regulation device (10) and a method for regulating tissue perfusion at a target site (2) on a human or animal body using such a perfusion regulation device (10).
    • 一种用于调节人体或动物体上目标部位(2)的组织灌注的灌注调节装置(10)。 灌注调节装置(10)包括用于确定和调节由灌注调节装置(10)施加在目标部位(2)上的压力的压力调节器(4)和用于测量目标部位组织灌注的灌注监测器(5) (2)。 灌注调节装置(10)还包括用于驱动压力调节器(4)的控制系统(6),以便调节由灌注调节装置(10)施加到目标部位(2)的压力,由此使用来自灌注的反馈 监视器(5)。 还有一种使用这种灌注调节装置(10)制造这种灌注调节装置(10)的方法和用于调节人体或动物体上目标部位(2)的组织灌注的方法。
    • 5. 发明授权
    • Method and system for preventing loops in mesh networks
    • 用于防止网状网络环路的方法和系统
    • US09060322B2
    • 2015-06-16
    • US13281072
    • 2011-10-25
    • Xu ZouKangchang HuangYan Liu
    • Xu ZouKangchang HuangYan Liu
    • H04L12/28H04W4/00H04W40/02H04L12/705H04L12/715H04L12/707
    • H04W40/02H04L45/04H04L45/18H04L45/24
    • The present disclosure discloses a network device and/or method for preventing loops in routing paths of network frames in a wireless digital network. The disclosed network device at a network node receives a frame from a wired network. The frame includes a site identifier uniquely corresponding to the wired network, a source physical address, and a destination physical address. If the network node is selected as a representative portal node, the network device forwards the frame. Otherwise, if another network node is selected as the representative portal node, the network device drops the received frame to prevent forming a loop in a routing path corresponding to the frame. If not other network is selected as the representative portal node, the network device floods the frame to other network nodes in the wireless network.
    • 本公开公开了一种用于防止无线数字网络中的网络帧的路由路径中的环路的网络设备和/或方法。 在网络节点处公开的网络设备从有线网络接收帧。 帧包括与有线网络唯一对应的站点标识符,源物理地址和目的地物理地址。 如果选择网络节点作为代表性门户节点,则网络设备转发该帧。 否则,如果选择另一网络节点作为代表门户节点,则网络设备丢弃所接收的帧,以防止在对应于该帧的路由路径中形成环路。 如果不选择其他网络作为代表门户网站节点,则网络设备会将该帧洪​​泛到无线网络中的其他网络节点。
    • 10. 发明授权
    • Systems and methods for extracting patterns from graph and unstructered data
    • 从图形和非结构化数据中提取模式的系统和方法
    • US08738361B2
    • 2014-05-27
    • US12496252
    • 2009-07-01
    • Wojciech GrycRichard LawrenceYan Liu
    • Wojciech GrycRichard LawrenceYan Liu
    • G06F17/27
    • G06F17/27G06F17/2745
    • A computing system receives input data having both graph and unstructured data and computes a current log likelihood of the input data. The computing system compares the current log likelihood with a previous log likelihood of the input data. If the current log likelihood is larger than the previous log likelihood, the computing system update topic modeling parameters, community modeling parameters, and the link generation parameter until the computing system obtains a maximal value of the log likelihood of the input data. Then, the computing system creates a graph indicating topic similarity between the input data based on the topic modeling parameters, creates another graph indicating community similarity between entities associated with the input data based on the community modeling parameters, and predicts a link existence between input data or entities based on the link generation parameter, the topic modeling parameter and the community modeling parameter.
    • 计算系统接收具有图形和非结构化数据的输入数据,并计算输入数据的当前对数似然性。 计算系统将当前对数似然率与输入数据的先前对数似然比较。 如果当前对数似然度大于先前的对数似然度,则计算系统更新主题建模参数,社区建模参数和链路生成参数,直到计算系统获得输入数据的对数似然性的最大值。 然后,计算系统基于主题建模参数创建指示输入数据之间的主题相似性的图形,基于社区建模参数创建指示与输入数据相关联的实体之间的社区相似性的另一图形,并且预测输入数据之间的链接存在 或基于链接生成参数,主题建模参数和社区建模参数的实体。