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    • 1. 发明授权
    • In situ adaptive masks
    • 原位自适应掩模
    • US07179335B2
    • 2007-02-20
    • US10695343
    • 2003-10-28
    • William FreemanYin ZhangLillian Qin
    • William FreemanYin ZhangLillian Qin
    • C23C14/04
    • C23C14/042
    • A variable adaptive mask is provided that can be dynamically modified in situ in a physical vapor deposition process. The mask comprises a fixed mask portion, a plurality of channels extending through the fixed mask portion, a control mechanism for controlling throughput of a vaporized target material through the channels, and a mechanism to mount the mask in a fixed position relative to a solid target material and a substrate. In one embodiment, a magnetic control mechanism is provided to control throughput of the vaporized target material through the channels. In another embodiment, a thermal control mechanism is provided to control throughput of a vaporized target material through the channels. Methods of controlling a physical vapor deposition process using the adaptive mask are also disclosed.
    • 提供了可在物理气相沉积工艺中原位动态修改的可变自适应掩模。 掩模包括固定的掩模部分,延伸穿过固定掩模部分的多个通道,用于控制通过通道的蒸发的目标材料的生产量的控制机构,以及将掩模相对于固体靶材固定在固定位置的机构 材料和基材。 在一个实施例中,提供磁控制机构以通过通道来控制蒸发的目标材料的生产量。 在另一个实施例中,提供热控制机构以控制通过通道的蒸发的目标材料的生产量。 还公开了使用自适应掩模来控制物理气相沉积工艺的方法。
    • 3. 发明授权
    • Method and apparatus for spatio-temporal compressive sensing
    • 用于时空压缩感测的方法和装置
    • US08458109B2
    • 2013-06-04
    • US12787428
    • 2010-05-26
    • Yin ZhangLili Qiu
    • Yin ZhangLili Qiu
    • G06F17/00
    • G06K9/6232
    • A method and apparatus for spatio-temporal compressive sensing, which allows accurate reconstruction of missing values in any digital information represented in matrix or tensor form, is disclosed. The method of embodiments comprises three main components: (i) a method for finding sparse, low-rank approximations of the data of interest that account for spatial and temporal properties of the data, (ii) a method for finding a refined approximation that better satisfies the measurement constraints while staying close to the low-rank approximations obtained by SRMF, and (iii) a method for combining global and local interpolation. The approach of embodiments also provides methods to perform common data analysis tasks, such as tomography, prediction, and anomaly detection, in a unified fashion.
    • 公开了一种用于空间 - 时间压缩感测的方法和装置,其允许以矩阵或张量形式表示的任何数字信息中的缺失值的精确重建。 实施例的方法包括三个主要部分:(i)用于发现考虑到数据的空间和时间属性的感兴趣的数据的稀疏,低等级近似的方法,(ii)用于找到更好的精确近似的方法 满足测量约束,同时保持接近由SRMF获得的低阶近似,以及(iii)一种用于组合全局和局部插值的方法。 实施例的方法还提供了以统一的方式执行诸如断层摄影,预测和异常检测的共同数据分析任务的方法。
    • 9. 发明申请
    • METHOD AND APPARATUS FOR SPATIO-TEMPORAL COMPRESSIVE SENSING
    • 用于空间压缩感测的方法和装置
    • US20100306290A1
    • 2010-12-02
    • US12787428
    • 2010-05-26
    • Yin ZhangLili Qiu
    • Yin ZhangLili Qiu
    • G06F17/17G06F17/11G06F7/00
    • G06K9/6232
    • A method and apparatus for spatio-temporal compressive sensing, which allows accurate reconstruction of missing values in any digital information represented in matrix or tensor form, is disclosed. The method of embodiments comprises three main components: (i) a method for finding sparse, low-rank approximations of the data of interest that account for spatial and temporal properties of the data, (ii) a method for finding a refined approximation that better satisfies the measurement constraints while staying close to the low-rank approximations obtained by SRMF, and (iii) a method for combining global and local interpolation. The approach of embodiments also provides methods to perform common data analysis tasks, such as tomography, prediction, and anomaly detection, in a unified fashion.
    • 公开了一种用于空间 - 时间压缩感测的方法和装置,其允许以矩阵或张量形式表示的任何数字信息中的缺失值的精确重建。 实施例的方法包括三个主要部分:(i)用于发现考虑到数据的空间和时间属性的感兴趣的数据的稀疏,低等级近似的方法,(ii)用于找到更好的精确近似的方法 满足测量约束,同时保持接近由SRMF获得的低阶近似,以及(iii)一种用于组合全局和局部插值的方法。 实施例的方法还提供了以统一的方式执行诸如断层摄影,预测和异常检测的共同数据分析任务的方法。