MEMORY SYSTEMS THAT SUPPORT READ RECLAIM OPERATIONS AND METHODS OF OPERATING SAME TO THEREBY PROVIDE REAL TIME DATA RECOVERY
    11.
    发明申请
    MEMORY SYSTEMS THAT SUPPORT READ RECLAIM OPERATIONS AND METHODS OF OPERATING SAME TO THEREBY PROVIDE REAL TIME DATA RECOVERY 审中-公开
    支持读取记录操作的记忆系统和操作方法,以提供实时数据恢复

    公开(公告)号:US20150355845A1

    公开(公告)日:2015-12-10

    申请号:US14729518

    申请日:2015-06-03

    Abstract: Methods of operating nonvolatile memory devices include counting a number of consecutive read operations performed on a first memory region within the nonvolatile memory device, and executing a page reclaim operation on the first memory region in response to detecting that a count in the number of consecutive read operations meets or exceeds a threshold count. A page reclaim operation may include checking an error bit level within a page of data stored in a multi-level cell block within the memory device. The page reclaim operation may further include moving page data from the multi-level cell block to a single-level cell block in the memory device and error correcting the page data during the moving.

    Abstract translation: 操作非易失性存储器件的方法包括对在非易失性存储器件内的第一存储器区域执行的连续读取操作的数量进行计数,以及响应于检测到连续读取数量的计数,对第一存储器区域执行页面回收操作 操作满足或超过阈值计数。 页面回收操作可以包括检查存储在存储器设备内的多级单元块中的数据页内的错误位级别。 页面回收操作可以进一步包括将页面数据从多级单元块移动到存储器件中的单级单元块,并且在移动期间纠错页面数据。

    METHOD AND APPARATUS FOR DETECTING DEFECTS ON SUBSTRATE

    公开(公告)号:US20210407099A1

    公开(公告)日:2021-12-30

    申请号:US17141770

    申请日:2021-01-05

    Abstract: A method for detecting a defect on a substrate, including receiving a first image, generating a second image, by converting the first image to grayscale levels, calculating a first gray level value, having a maximum number of pixels in the second image, and second and third gray level values, having a number of pixels in the second image equal to a predetermined fraction of the first gray level value, from a histogram of the number of pixels respective to the grayscale levels of the second image, converting the second image into a third image having pixels at a level lower than that of the first gray level value and a fourth image having pixels at a level equal to or higher than the first gray level value, generating fifth and sixth images by detecting edges by applying a Canny algorithm to the third and fourth images, respectively.

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