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    Multilayer container for enhanced gas barrier properties
    3.
    发明授权
    Multilayer container for enhanced gas barrier properties 有权
    用于提高阻气性能的多层容器

    公开(公告)号：US08124202B2

    公开(公告)日：2012-02-28

    申请号：US11850575

    申请日：2007-09-05

    申请人： Yu Shi ,  Xiaoyan Huang ,  Mikell Schultheis ,  Robert Kriegel ,  Francis M. Schloss

    发明人： Yu Shi ,  Xiaoyan Huang ,  Mikell Schultheis ,  Robert Kriegel ,  Francis M. Schloss

    IPC分类号： B32B1/02

    CPC分类号： B32B27/08 ,  B32B27/18 ,  Y02P20/582 ,  Y10T428/1352 ,  Y10T428/31721 ,  Y10T428/31725 ,  Y10T428/31786 ,  Y10T428/31938

    摘要： A multilayer container having enhanced gas barrier properties comprises at least two outer layers comprising a polymer matrix, and at least one barrier layer disposed between the at least two outer layers. The at least one barrier layer comprises a first polymer composition comprising a polymer matrix and a low molecular weight additive. In a particular embodiment, the low molecular weight additive comprises a purine derivative, such as caffeine, and is present in the multilayer container in an amount in the range of about 0.2 to about 10 weight percent of the container.

    摘要翻译： 具有增强的气体阻隔性能的多层容器包括至少两个包含聚合物基质的外层和设置在该至少两个外层之间的至少一个阻挡层。 所述至少一个阻挡层包括包含聚合物基质和低分子量添加剂的第一聚合物组合物。 在一个具体实施方案中，低分子量添加剂包括嘌呤衍生物，例如咖啡因，并且以多于容器的约0.2至约10重量％的量存在于多层容器中。

    Handwriting symbol recognition accuracy using speech input
    10.
    发明授权
    Handwriting symbol recognition accuracy using speech input 失效
    使用语音输入的手写符号识别精度

    公开(公告)号：US08077975B2

    公开(公告)日：2011-12-13

    申请号：US12037095

    申请日：2008-02-26

    申请人： Lei Ma ,  Yu Shi ,  Frank Kao-ping Soong

    发明人： Lei Ma ,  Yu Shi ,  Frank Kao-ping Soong

    IPC分类号： G06K9/00 ,  G06K9/62 ,  G06K9/72 ,  G06F3/00 ,  G10L15/26 ,  G09G5/00

    CPC分类号： G10L15/24 ,  G06K9/00409 ,  G06K9/00422

    摘要： Described is a bimodal data input technology by which handwriting recognition results are combined with speech recognition results to improve overall recognition accuracy. Handwriting data and speech data corresponding to mathematical symbols are received and processed (including being recognized) into respective graphs. A fusion mechanism uses the speech graph to enhance the handwriting graph, e.g., to better distinguish between similar handwritten symbols that are often misrecognized. The graphs include nodes representing symbols, and arcs between the nodes representing probability scores. When arcs in the first and second graphs are determined to match one another, such as aligned in time and associated with corresponding symbols, the probability score in the second graph for that arc is used to adjust the matching probability score in the first graph. Normalization and smoothing may be performed to correspond the graphs to one another and to control the influence of one graph on the other.

    摘要翻译： 描述了一种双模数据输入技术，通过该技术，手写识别结果与语音识别结果相结合，以提高整体识别精度。 对应于数学符号的手写数据和语音数据被接收并处理（包括被识别）到各个图中。 融合机制使用语音图来增强手写图，例如更好地区分经常被误识别的类似的手写符号。 这些图包括表示符号的节点和表示概率分数的节点之间的弧。 当第一和第二图中的弧被确定为彼此匹配时，例如在时间上对齐并与对应符号相关联时，该弧的第二图中的概率分数用于调整第一图中的匹配概率得分。 可以执行归一化和平滑以将图彼此对应并且控制一个图的影响。