Methods, processes and systems for centralized rich media content creation, custimization, and distributed presentation
    1.
    发明申请
    Methods, processes and systems for centralized rich media content creation, custimization, and distributed presentation 审中-公开
    集中丰富的媒体内容创建,统一化和分布式呈现的方法,过程和系统

    公开(公告)号:US20110161802A1

    公开(公告)日:2011-06-30

    申请号:US12655556

    申请日:2009-12-31

    IPC分类号: G06F17/24

    摘要: The present invention is related to methods, processes, and systems that enable web users to quickly create, customize, and publish rich media contents via Internet. Web addresses and attributes with regard to the published rich media contents are also generated. The published rich media contents, web addresses and attributes are stored locally in a centralized place, but they can be called by any geographically distributed third-party websites or remote web users, and then be presented on the third-party websites or the terminal devices of the remote web users. Furthermore, the present invention also enables web users to quickly create and customize personal online stores at a centralized place, and then list the published rich media contents in their personal online stores. These listed rich media contents can also be referenced and called by any geographically distributed third-party websites or remote web users, and then be presented on the third-party websites or the terminal devices of the remote web users.

    摘要翻译: 本发明涉及能够使web用户通过因特网快速创建,定制和发布富媒体内容的方法,过程和系统。 还会生成关于已发布的富媒体内容的Web地址和属性。 已发布的富媒体内容,网址和属性本地存储在集中的地方,但可由任何地理位置分布的第三方网站或远程Web用户进行调用,然后呈现在第三方网站或终端设备上 的远程Web用户。 此外,本发明还使得网络用户能够在集中的地方快速地创建和定制个人在线商店,然后在其个人网上商店中列出已发布的富媒体内容。 这些列出的富媒体内容也可以由任何地理位置分布的第三方网站或远程Web用户引用和调用,然后呈现在第三方网站或远程Web用户的终端设备上。

    METHOD OF SELECTION OF AN ACTION FOR AN OBJECT USING A NEURAL NETWORK

    公开(公告)号:US20190101917A1

    公开(公告)日:2019-04-04

    申请号:US15724939

    申请日:2017-10-04

    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.

    Method and device for acquiring contribution value of relay node
    6.
    发明授权
    Method and device for acquiring contribution value of relay node 有权
    获取中继节点贡献值的方法和装置

    公开(公告)号:US08897201B2

    公开(公告)日:2014-11-25

    申请号:US13202432

    申请日:2010-02-10

    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。

    Method, system and device for searching active peer in P2P streaming media system
    8.
    发明授权
    Method, system and device for searching active peer in P2P streaming media system 有权
    P2P流媒体系统中搜索主动对等体的方法,系统和设备

    公开(公告)号:US08762461B2

    公开(公告)日:2014-06-24

    申请号:US13378982

    申请日:2010-06-13

    IPC分类号: G06F15/16

    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。

    Method and system for searching data based on identified subset of categories and relevance-scored text representation-category combinations
    10.
    发明授权
    Method and system for searching data based on identified subset of categories and relevance-scored text representation-category combinations 有权
    基于识别的类别子集和相关性评分的文本表示类别组合来搜索数据的方法和系统

    公开(公告)号:US07409336B2

    公开(公告)日:2008-08-05

    申请号:US10465338

    申请日:2003-06-19

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

    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。