Transparent holographic display with dynamic image control
    5.
    发明授权
    Transparent holographic display with dynamic image control 有权
    具有动态图像控制的透明全息显示

    公开(公告)号:US09304491B2

    公开(公告)日:2016-04-05

    申请号:US13685401

    申请日:2012-11-26

    CPC classification number: G03H1/2294 G03H2001/2234 G03H2210/30

    Abstract: Generally, this disclosure provides systems and methods for generating three dimensional holographic images on a transparent display screen with dynamic image control. The system may include a transparent display screen that includes an array of pixels; a driver circuit configured to control each of the pixels in the array of pixels such that the transparent display screen displays an interference fringe pattern, the interference fringe pattern associated with a hologram; and a coherent light source configured to illuminate the transparent display screen with coherent light, wherein transformation of the coherent light by the interference fringe pattern generates a three dimensional holographic image.

    Abstract translation: 通常,本公开提供了用于在具有动态图像控制的透明显示屏上产生三维全息图像的系统和方法。 该系统可以包括包括像素阵列的透明显示屏幕; 驱动器电路,被配置为控制像素阵列中的每个像素,使得透明显示屏幕显示干涉条纹图案,与全息图相关联的干涉条纹图案; 以及被配置为用相干光照亮透明显示屏的相干光源,其中通过干涉条纹图案的相干光的变换产生三维全息图像。

    Ranking of objects with noisy measurements

    公开(公告)号:US11244440B2

    公开(公告)日:2022-02-08

    申请号:US16557906

    申请日:2019-08-30

    Abstract: A method includes, for each data object of a plurality of data objects, performing a measurement on a plurality of instances of the data object to generate a plurality of measurement values for the data object, and generating a distribution of the measurement values for the data object. The method further includes generating an aggregate distribution based on each of the distributions of the measurement values generated for the data objects, and scoring a first data object of the plurality of data objects based on the distribution of the measurement values for the first data object and the aggregate distribution.

    Iterative supervised identification of non-dominant clusters

    公开(公告)号:US11176658B2

    公开(公告)日:2021-11-16

    申请号:US16572446

    申请日:2019-09-16

    Abstract: A method comprising determining a binary classification value for each of a plurality of data instances based on a first threshold value assigned to each of the plurality of data instances; applying at least one clustering model to a first subset of the plurality of data instances to identify one or more dominant clusters of data instances; determining a second threshold value to assign to a second plurality of data instances that are included within the one or more dominant clusters of data instances; and redetermining a binary classification value for each of the plurality of data instances based on the second threshold value assigned to the second plurality of data instances and the first threshold value, wherein the first threshold value is assigned to at least a portion of data instances of the plurality of data instances that are not included in the second plurality of data instances.

    Fast pattern matching
    9.
    发明授权

    公开(公告)号:US11010525B2

    公开(公告)日:2021-05-18

    申请号:US16457974

    申请日:2019-06-29

    Abstract: A search engine receives data describing reference geometry and generates a hash based on the reference geometry. A reference bloom filter is generated for the reference geometry based on the hash. The search engine performs a search to determine whether instances of the reference geometry are present in an integrated circuit (IC) layout. The search includes comparing the reference bloom filter with each one of a plurality of bloom filters corresponding to a plurality of subdomains of the IC layout. Based on results of the comparison, one or more subdomains of interest are identified and searched to determine whether the particular reference geometry is present in the subdomain.

    Semantic pattern extraction from continuous itemsets

    公开(公告)号:US10915691B2

    公开(公告)日:2021-02-09

    申请号:US16457209

    申请日:2019-06-28

    Abstract: A semantic pattern extraction system can distill tremendous amounts of silicon wafer manufacturing data to generate a small set of simple sentences (semantic patterns) describing physical design geometries that may explain manufacturing defects. The system can analyze many SEM images for manufacturing defects in areas of interest on a wafer. A tagged continuous itemset is generated from the images, with items comprising physical design feature values corresponding to the areas of interest and tagged with the presence or absence of a manufacturing defect. Entropy-based discretization converts the continuous itemset into a discretized one. Frequent set mining identifies a set of candidate semantic patterns from the discretized itemset. Candidate semantic patterns are reduced using reduction techniques and are scored. A ranked list of final semantic patterns is presented to a user. The final semantic patterns can be used to improve a manufacturing process.

Patent Agency Ranking