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    • 11. 发明授权
    • Structuring unstructured web data using crowdsourcing
    • 使用众包构建非结构化Web数据
    • US09460419B2
    • 2016-10-04
    • US12971976
    • 2010-12-17
    • Yi-Chin TuAleksey SinyaginXiaoxin YinWenzhao TanLi-wei HeYi-Min WangEmre KicimanChun-Kai Wang
    • Yi-Chin TuAleksey SinyaginXiaoxin YinWenzhao TanLi-wei HeYi-Min WangEmre KicimanChun-Kai Wang
    • G06F17/30G06Q10/10
    • G06Q10/101G06F17/30882
    • A crowdsourcing data structuring system and method for capturing unstructured data from the Web and adding structure by placing the data in a document that is accessible by others in a cloud computing environment. Using crowdsourcing, the unstructured data is annotated, amended, and verified to add structure to the unstructured data. An anchor and update module convert the data to a pointer that links the document to the data at an information source and stores the pointer in the document rather than the data itself. The data displayed in the document is updated whenever the information source is updated. A contribution module allows users to add data to the document, a validation module allows users to determine the validity of the data linked to in the document, and an expert ranking module allows users to rank the expert or contributor of the data in the document.
    • 用于从Web获取非结构化数据并通过将数据放置在可由其他人在云计算环境中访问的文档中来添加结构的众包数据结构化系统和方法。 使用众包,非结构化数据进行注释,修改和验证,以向非结构化数据添加结构。 锚和更新模块将数据转换为将文档链接到信息源上的数据的指针,并将指针存储在文档中而不是数据本身。 每当更新信息源时,文档中显示的数据都会更新。 贡献模块允许用户向文档添加数据,验证模块允许用户确定文档中链接的数据的有效性,专家排名模块允许用户对文档中的数据的专家或贡献者进行排名。
    • 12. 发明授权
    • Method for visualizing sound source energy distribution in echoic environment
    • 在回声环境中可视化声源能量分布的方法
    • US09151662B2
    • 2015-10-06
    • US13360123
    • 2012-01-27
    • Mingsian R. BaiChing-Cheng ChenYi-Yang LoChun-Kai WangShen-Wei Juan
    • Mingsian R. BaiChing-Cheng ChenYi-Yang LoChun-Kai WangShen-Wei Juan
    • H04R3/00G01H3/12
    • G01H3/125
    • A method for visualizing sound source energy distribution in an echoic environment comprises steps: arranging in an echoic environment a plurality of arrayed sound pickup units, wherein each sound pickup unit includes at least two microphones separated by a directive distance enabling the sound pickup unit to have a primary pickup direction; disposing the sound pickup units with the primary pickup directions thereof pointing toward a sound source in the echoic environment, and measuring the sound source by the sound pickup units to obtain a sound source-related parameter; substituting the directive distance and the parameter into an algorithm to make the parameter have directivity; and then substituting the parameter into an ESM algorithm to establish a sound source energy distribution profile. Thereby, the method can measure a sound source in a specified direction in an echoic environment and establish a visualized sound source energy distribution profile.
    • 一种用于在回声环境中可视化声源能量分布的方法包括以下步骤:在回声环境中布置多个排列的拾音单元,其中每个声音拾取单元包括由指示距离分开的至少两个麦克风,使得声音拾取单元具有 主要方向; 在所述回声环境中将所述拾音单元的主要拾取方向指向声源,并且通过所述声音拾取单元测量所述声源以获得声源相关参数; 将指令距离和参数代入算法中,使参数具有方向性; 然后将该参数代入ESM算法以建立声源能量分布曲线。 因此,该方法可以在回波环境中测量指定方向上的声源并建立可视化的声源能量分布曲线。
    • 14. 发明申请
    • METHOD FOR VISUALIZING SOUND SOURCE ENERGY DISTRIBUTION IN ECHOIC ENVIRONMENT
    • 可视化环境中的声源能量分配方法
    • US20130142357A1
    • 2013-06-06
    • US13360123
    • 2012-01-27
    • Mingsian R. BAIChing-Cheng ChenYi-Yang LoChun-Kai WangShen-Wei Juan
    • Mingsian R. BAIChing-Cheng ChenYi-Yang LoChun-Kai WangShen-Wei Juan
    • H04R3/00
    • G01H3/125
    • A method for visualizing sound source energy distribution in an echoic environment comprises steps: arranging in an echoic environment a plurality of arrayed sound pickup units, wherein each sound pickup unit includes at least two microphones separated by a directive distance enabling the sound pickup unit to have a primary pickup direction; disposing the sound pickup units with the primary pickup directions thereof pointing toward a sound source in the echoic environment, and measuring the sound source by the sound pickup units to obtain a sound source-related parameter; substituting the directive distance and the parameter into an algorithm to make the parameter have directivity; and then substituting the parameter into an ESM algorithm to establish a sound source energy distribution profile. Thereby, the method can measure a sound source in a specified direction in an echoic environment and establish a visualized sound source energy distribution profile.
    • 一种用于在回声环境中可视化声源能量分布的方法包括以下步骤:在回声环境中布置多个排列的拾音单元,其中每个声音拾取单元包括由指示距离分开的至少两个麦克风,使得声音拾取单元具有 主要方向; 在所述回声环境中将所述拾音单元的主要拾取方向指向声源,并且通过所述声音拾取单元测量所述声源以获得声源相关参数; 将指令距离和参数代入算法中,使参数具有方向性; 然后将该参数代入ESM算法以建立声源能量分布曲线。 因此,该方法可以在回波环境中测量指定方向上的声源并建立可视化的声源能量分布曲线。
    • 15. 发明授权
    • Federated implicit search
    • 联合隐式搜索
    • US08359311B2
    • 2013-01-22
    • US12791000
    • 2010-06-01
    • Kuansan WangEmre M. KicimanBo-June HsuChun-Kai Wang
    • Kuansan WangEmre M. KicimanBo-June HsuChun-Kai Wang
    • G06F17/30
    • G06F17/30867G06Q10/00
    • A resource selection system is described for assisting a user in performing a task that includes multiple actions. At each stage of the task, the system presents a set resources from which the user may select to perform a subsequent action in the task. The system implicitly selects the set of resources based on context information that identifies the user's current informational needs. For example, the context information may be derived from textual information that is being presented on a user device, which the user is presumed to be viewing at the current time. In one implementation, the system selects the set of resources by computing language models for respective domains and respective entities. The system uses the language models to determine the relevance of the context information to each of the domains. The system then selects resources associated with domains that have been assessed as relevant.
    • 描述了一种资源选择系统,用于帮助用户执行包括多个动作的任务。 在任务的每个阶段,系统呈现用户可以从中选择执行任务中的后续动作的集合资源。 系统基于识别用户当前信息需求的上下文信息来隐含地选择资源集合。 例如,可以从呈现在用户设备上的文本信息导出上下文信息,用户被认为在当前时间正在观看。 在一个实现中,系统通过计算各个域和相应实体的语言模型来选择资源集合。 系统使用语言模型来确定上下文信息与每个域的相关性。 然后系统选择与被评估为相关的域相关联的资源。