公开(公告)号：US08897201B2

公开(公告)日：2014-11-25

申请号：US13202432

申请日：2010-02-10

申请人： Jin Peng ,  Naibao Zhou ,  Xiaodong Duan ,  Yunfei Zhang ,  Yichuan Wu ,  Hongluan Liao

发明人： Jin Peng ,  Naibao Zhou ,  Xiaodong Duan ,  Yunfei Zhang ,  Yichuan Wu ,  Hongluan Liao

IPC分类号： H04B7/14 ,  H04J1/10 ,  H04J3/08 ,  H04W4/24 ,  H04L12/14 ,  H04M15/00

CPC分类号： H04L12/14 ,  H04L12/1403 ,  H04M15/70 ,  H04M15/73 ,  H04W4/24

摘要： A method and an apparatus for acquiring a contribution value of a transfer node are disclosed. The method includes: acquiring charging information of a trust node which is in a trust network circumstance and joining in a session, and acquiring charging information of the transfer node which is in a distrust network circumstance and joining in the session; auditing the consistency of charging information between the transfer node and the trust node; computing the contribution value of the transfer node according to the auditing result and the charging information of the transfer node. The invention can effectively guarantee acquiring the contribution value of the transfer node truly and unfailingly in a distrust circumstance of network circumstance, and subsequently providing basis for rewarding the node which has contributed for transferring.

摘要翻译： 公开了一种用于获取传送节点的贡献值的方法和装置。 该方法包括：获取处于信任网络环境中并加入会话的信任节点的计费信息，获取处于不信任网络环境并加入会话的传输节点的计费信息; 审计传输节点与信任节点之间计费信息的一致性; 根据审计结果和传输节点的计费信息计算传输节点的贡献值。 本发明可以有效地保证在网络环境不信任的情况下真实，可靠地获取传输节点的贡献价值，为获得转移贡献的节点提供依据。

公开(公告)号：US20120102116A1

公开(公告)日：2012-04-26

申请号：US13340089

申请日：2011-12-29

申请人： Guangyu SHI ,  Youshui Long ,  Liufei Wen ,  Yunfei Zhang

发明人： Guangyu SHI ,  Youshui Long ,  Liufei Wen ,  Yunfei Zhang

IPC分类号： G06F15/16

CPC分类号： H04L67/104 ,  H04L29/08729 ,  H04L65/4076 ,  H04L65/4084 ,  H04L67/1061 ,  H04L67/1063 ,  H04L67/108 ,  H04L67/1087 ,  H04L67/1091 ,  H04L67/2838 ,  H04L67/32

摘要： A method for Peer-to-Peer (P2P) streaming media data distribution includes: receiving a media resource request message sent by a Client node, and sending a media resource query request corresponding to the message to multiple resource networks; obtaining response messages to the media resource query request; confirming Cache nodes storing the media resource according to the response messages; and requesting the media resource from the Cache nodes. The present invention further provides a system and a Proxy node for streaming media data distribution, thereby expanding an application range of live/on-demand service of a user, and increasing the flexibility of a system for streaming media distribution.

摘要翻译： 一种用于对等（P2P）流媒体数据分发的方法包括：接收由客户端节点发送的媒体资源请求消息，并将与消息对应的媒体资源查询请求发送给多个资源网络; 获取对媒体资源查询请求的响应消息; 根据响应消息确认存储媒体资源的缓存节点; 并从Cache节点请求媒体资源。 本发明还提供了一种用于流媒体数据分发的系统和代理节点，从而扩展了用户的实时/点播服务的应用范围，并且增加了用于流媒体分发的系统的灵活性。

公开(公告)号：US20110299453A1

公开(公告)日：2011-12-08

申请号：US13202432

申请日：2010-02-10

申请人： Jin Peng ,  Naibao Zhou ,  Xiaodong Duan ,  Yunfei Zhang ,  Yichuan Wu ,  Hongluan Liao

发明人： Jin Peng ,  Naibao Zhou ,  Xiaodong Duan ,  Yunfei Zhang ,  Yichuan Wu ,  Hongluan Liao

IPC分类号： H04W4/00 ,  H04B7/14

CPC分类号： H04L12/14 ,  H04L12/1403 ,  H04M15/70 ,  H04M15/73 ,  H04W4/24

摘要： A method and an apparatus for acquiring a contribution value of a transfer node are disclosed. The method includes: acquiring charging information of a trust node which is in a trust network circumstance and joining in a session, and acquiring charging information of the transfer node which is in a distrust network circumstance and joining in the session; auditing the consistency of charging information between the transfer node and the trust node; computing the contribution value of the transfer node according to the auditing result and the charging information of the transfer node. The invention can effectively guarantee acquiring the contribution value of the transfer node truly and unfailingly in a distrust circumstance of network circumstance, and subsequently providing basis for rewarding the node which has contributed for transferring.

摘要翻译： 公开了一种用于获取传送节点的贡献值的方法和装置。 该方法包括：获取处于信任网络环境中并加入会话的信任节点的计费信息，获取处于不信任网络环境并加入会话的传输节点的计费信息; 审计传输节点与信任节点之间计费信息的一致性; 根据审计结果和传输节点的计费信息计算传输节点的贡献值。 本发明可以有效地保证在网络环境不信任的情况下真实，可靠地获取传输节点的贡献价值，为获得转移贡献的节点提供依据。

公开(公告)号：US11181921B2

公开(公告)日：2021-11-23

申请号：US16288771

申请日：2019-02-28

申请人： Peyman Yadmellat ,  Seyed Masoud Nosrati ,  Elmira Amirloo Abolfathi ,  Mohammed Elmahgiubi ,  Yunfei Zhang ,  Jun Luo

发明人： Peyman Yadmellat ,  Seyed Masoud Nosrati ,  Elmira Amirloo Abolfathi ,  Mohammed Elmahgiubi ,  Yunfei Zhang ,  Jun Luo

IPC分类号： G05D1/02 ,  G05D1/00 ,  G06N20/20

摘要： A method and system for determining a trajectory within an operating space for an autonomous vehicle to implement a behaviour decision, comprising: generating a set of candidate target end states for the behaviour decision based on an estimated state of the vehicle; generating a set of candidate trajectories corresponding to the set of candidate target end states based on the estimated state of the vehicle; determining a suitability of each of the candidate target end states based on the estimated state of the vehicle; and selecting a trajectory to implement the behaviour decision from the set of candidate trajectories based on the determined suitability of the candidate target end states.

公开(公告)号：US20190101917A1

公开(公告)日：2019-04-04

申请号：US15724939

申请日：2017-10-04

申请人： Hengshuai Yao ,  Hao Chen ,  Seyed Masoud Nosrati ,  Peyman Yadmellat ,  Yunfei Zhang

发明人： Hengshuai Yao ,  Hao Chen ,  Seyed Masoud Nosrati ,  Peyman Yadmellat ,  Yunfei Zhang

IPC分类号： G05D1/00 ,  G06N3/04 ,  G06N3/08

摘要： A method, device and system of prediction of a state of an object in the environment using an action model of a neural network. In accordance with one aspect, a control system for a object comprises a processor, a plurality of sensors coupled to the processor for sensing a current state of the object and an environment in which the object is located, and a first neural network coupled to the processor. A plurality of predicted subsequent states of the object in the environment is obtained using an action model, a current state of the object in the environment and a plurality of actions. The action model maps a plurality of states of the object in the environment and a plurality of actions performed by the object for each state to predicted subsequent states of the object in the environment. An action that maximizes a value of a target is determined. The target is based at least on a reward for each of the predicted subsequent states. The determined action is performed.

公开(公告)号：US08762461B2

公开(公告)日：2014-06-24

申请号：US13378982

申请日：2010-06-13

申请人： Yunfei Zhang ,  Jin Peng ,  Xiaodong Duan ,  Guangqing Deng ,  Jiadong Hao ,  Bing Wei

发明人： Yunfei Zhang ,  Jin Peng ,  Xiaodong Duan ,  Guangqing Deng ,  Jiadong Hao ,  Bing Wei

IPC分类号： G06F15/16

CPC分类号： H04L67/06 ,  H04L67/1063 ,  H04L67/108

摘要： Disclosed is a method, system and device for searching active nodes in P2P(peer to peer) streaming media system. Selectable nodes briefly and efficiently report their own subblocks information to a tracker device, such as the number of the continuous buffered subblocks, the sequence number of the first subblock of the continuous subblocks and the total number information of the buffered subblocks; the tracker device can select suitable candidate nodes for a request node according to the subblocks information of the selectable nodes, therefore the request node can determine active nodes without sending a large amount of detections to the candidate nodes; the waste of communication resources is avoided and the bandwidth cost is reduced; also, the selectable nodes can report characters of the networks where they locate, and the tracker device can select nodes in wired network to be candidate nodes first, therefore, the transmission speed of the whole P2P system is improved and the waiting delay of the request node is reduced.

摘要翻译： 公开了一种用于在P2P（对等）流媒体系统中搜索活动节点的方法，系统和设备。 可选择的节点简要地并且有效地向跟踪器设备报告它们自己的子块信息，例如连续缓冲子块的数量，连续子块的第一子块的序列号和缓冲的子块的总数信息; 跟踪器设备可以根据可选节点的子块信息为请求节点选择合适的候选节点，因此请求节点可以确定活动节点而不向候选节点发送大量检测; 避免了通信资源的浪费，降低了带宽成本; 可选择的节点也可以报告定位的网络的字符，跟踪设备可以首先选择有线网络中的节点作为候选节点，从而提高整个P2P系统的传输速度，提高请求的等待延迟 节点减少。

公开(公告)号：US20130195918A1

公开(公告)日：2013-08-01

申请号：US13564806

申请日：2012-08-02

申请人： Dennis J. O'Callaghan ,  ByungChul Ahn ,  Yunfei Zhang ,  Nikolaus Osterrieder

发明人： Dennis J. O'Callaghan ,  ByungChul Ahn ,  Yunfei Zhang ,  Nikolaus Osterrieder

IPC分类号： C12N7/00

CPC分类号： C12N7/00 ,  C12N2710/16721 ,  C12N2710/16734 ,  C12N2710/16762

摘要： We have constructed a mutant EHV-1 that is lacking the entire 12.7 kbp IR segment of the viral genome and found the mutant EHV-1 to be replication competent, to have the ability to replicate in mammalian cell types (including human cells), and to exhibit reduced virulence in the mouse model of EHV-1 virulence.

摘要翻译： 我们已经构建了缺乏病毒基因组的整个12.7kbp IR区段的突变EHV-1，并且发现突变体EHV-1具有复制能力，具有在哺乳动物细胞类型（包括人细胞）中复制的能力，以及 在EHV-1毒力小鼠模型中表现出降低的毒力。

公开(公告)号：US07409336B2

公开(公告)日：2008-08-05

申请号：US10465338

申请日：2003-06-19

申请人： Wai H. Pak ,  Sia Henry Saputra ,  Yunfei Zhang ,  Marc Alexander Caltabiano

发明人： Wai H. Pak ,  Sia Henry Saputra ,  Yunfei Zhang ,  Marc Alexander Caltabiano

IPC分类号： G06F17/27 ,  G06F17/03 ,  G06F17/21

CPC分类号： G10L15/1822 ,  G06F17/30864 ,  Y10S707/99931

摘要： A method and system for analyzing natural language text to identify a set of categories of data in a knowledge base associated with the natural language text and selecting a category from the set of categories is provided. The method and system further provides automatically providing a single category if the set of categories only contains the single category. The method and system also provides that each category in the knowledge base is associated with a stored text representation of a sample natural language text and a score for the text representation-category combination, wherein the score is representative of a relative relevance of the text representation-category combination. The method and system further provide for modifying the score associated with the text representation-category combination of a selected category using feedback provided upon the selection.

摘要翻译： 提供了一种用于分析自然语言文本以识别与自然语言文本相关联的知识库中的一组数据类型并从该类别集合中选择类别的方法和系统。 如果该类别集合仅包含单个类别，则该方法和系统进一步提供自动提供单个类别。 方法和系统还规定知识库中的每个类别与样本自然语言文本的存储文本表示和文本表示类别组合的分数相关联，其中分数代表文本表示的相对相关性 类别组合。 该方法和系统进一步提供使用在选择时提供的反馈来修改与所选类别的文本表示类别组合相关联的得分。

公开(公告)号：US10997491B2

公开(公告)日：2021-05-04

申请号：US15725043

申请日：2017-10-04

申请人： Hengshuai Yao ,  Seyed Masoud Nosrati ,  Hao Chen ,  Peyman Yadmellat ,  Yunfei Zhang

发明人： Hengshuai Yao ,  Seyed Masoud Nosrati ,  Hao Chen ,  Peyman Yadmellat ,  Yunfei Zhang

IPC分类号： G06N3/04 ,  G06N3/08 ,  G05B13/02 ,  G05D1/00 ,  B60W10/20 ,  B60W10/18 ,  G05D1/02 ,  G06K9/00 ,  G05B17/02 ,  G08G1/00 ,  G06N3/00

摘要： A method, device and system of prediction of a state of an object in the environment using an action model of a neural network. In accordance with one aspect, a control system for a object comprises a processor, a plurality of sensors coupled to the processor for sensing a current state of the object and an environment in which the object is located, and a first neural network coupled to the processor. One or more predicted subsequent states of the object in the environment are determined using an action model of the neural network and a current state of the object in the environment and an plurality of action sequences. The action model comprises a mapping of states of the object in the environment and actions performed by the object for each state to predicted subsequent states of the object in the environment.

公开(公告)号：US10935982B2

公开(公告)日：2021-03-02

申请号：US15724939

申请日：2017-10-04

申请人： Hengshuai Yao ,  Hao Chen ,  Seyed Masoud Nosrati ,  Peyman Yadmellat ,  Yunfei Zhang

发明人： Hengshuai Yao ,  Hao Chen ,  Seyed Masoud Nosrati ,  Peyman Yadmellat ,  Yunfei Zhang

IPC分类号： G05D1/02 ,  G06N3/04 ,  G06N3/00 ,  B60W40/12 ,  G06N3/08 ,  G06N3/02

摘要： A method, device and system of prediction of a state of an object in the environment using a pre-trained action model defined by an action model neural network. A control system for an object comprises a plurality of sensors for sensing a current state and an environment in which the object is located, and a first neural network. Predicted subsequent states of the object in the environment are obtained using the action model and a current state of the object in the environment The action model maps a plurality of state-action pairs (s, a), each state-action pair encoding a state (s) of the object in the environment and an action (a) performed by the object to a predicted subsequent state (s′) of the object in the environment. An action that maximizes a value of a target, based at least on a reward for each of the predicted subsequent states, is determined. The determined action is caused to be performed.