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    • 1. 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。
    • 6. 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。
    • 8. 发明申请
    • METHOD FOR PROTECTING RTL IP CORE
    • 保护RTL IP核的方法
    • US20130346928A1
    • 2013-12-26
    • US13977205
    • 2011-06-25
    • Kenli LiZhimin ZhangYan LiuZhuo TangYun-chuan QinDegui Xiao
    • Kenli LiZhimin ZhangYan LiuZhuo TangYun-chuan QinDegui Xiao
    • G06F17/50
    • G06F17/5045G06F21/75
    • A method for protecting Register Transfer Level (RTL) Intellectual Property (IP) core is provided, which converts an original RTL IP core to a target RTL IP core embedded with protection measures. The method includes: Step S1, constructing a state machine whose mode is controllable against the original RTL IP core, the state machine has a normal mode appeared corresponding to the normal function of the IP core after the entry of a correct preset secret key value and a fuzzy mode appeared corresponding to the abnormal function of the IP core after the entry of wrong secret key value; Step S2, revise the data flow of the RTL code in the original RTL IP core to obtain the fuzzy RTL code of the IP core; and Step S3: combine the state machine and the fuzzy RTL code into the targeted RTL IP core. By combining the secret key control and fuzzy data flow, the being embezzled and reverse-engineered of RTL IP core can be effectively prevented.
    • 提供了一种保护注册转移级别(RTL)知识产权(IP)核心的方法,将原始RTL IP内核转换为嵌入有保护措施的目标RTL IP内核。 该方法包括:步骤S1,构建模式对原始RTL IP核可控制的状态机,在输入正确的预设密钥值后,状态机具有对应于IP核的正常功能的正常模式, 在输入错误的密钥值后,对应于IP核的异常功能出现模糊模式; 步骤S2,修改原始RTL IP核中的RTL码的数据流,得到IP核的模糊RTL码; 步骤S3:将状态机和模糊RTL代码组合到目标RTL IP内核中。 通过组合秘密密钥控制和模糊数据流,可以有效防止RTL IP内核被贪污和反向设计。
    • 10. 发明授权
    • Extraction of attributes and values from natural language documents
    • 从自然语言文件中提取属性和值
    • US08521745B2
    • 2013-08-27
    • US13158678
    • 2011-06-13
    • Katharina ProbstRayid GhaniAndrew E. FanoMarko KremaYan Liu
    • Katharina ProbstRayid GhaniAndrew E. FanoMarko KremaYan Liu
    • G06F17/30
    • G06F17/2715G06F17/241G06F17/30616
    • One or more classification algorithms are applied to at least one natural language document in order to extract both attributes and values of a given product. Supervised classification algorithms, semi-supervised classification algorithms, unsupervised classification algorithms or combinations of such classification algorithms may be employed for this purpose. The at least one natural language document may be obtained via a public communication network. Two or more attributes (or two or more values) thus identified may be merged to form one or more attribute phrases or value phrases. Once attributes and values have been extracted in this manner, association or linking operations may be performed to establish attribute-value pairs that are descriptive of the product. In a presently preferred embodiment, an (unsupervised) algorithm is used to generate seed attributes and values which can then support a supervised or semi-supervised classification algorithm.
    • 一个或多个分类算法被应用于至少一个自然语言文档,以便提取给定产品的属性和值。 为此,可以采用监督分类算法,半监督分类算法,无监督分类算法或这种分类算法的组合。 可以经由公共通信网络获得至少一个自然语言文档。 如此识别的两个或多个属性(或两个或多个值)可以被合并以形成一个或多个属性短语或值短语。 一旦以这种方式提取了属性和值,就可以执行关联或链接操作来建立描述产品的属性值对。 在当前优选的实施例中,(无监督)算法用于生成种子属性和值,然后可以支持受监督或半监督分类算法。