Three terminal fuse with FinFET
    23.
    发明授权

    公开(公告)号:US09293221B1

    公开(公告)日:2016-03-22

    申请号:US14632017

    申请日:2015-02-26

    CPC classification number: G11C17/18 G11C11/40 G11C17/16 H01L27/11206

    Abstract: A technique is provided for programming a transistor having a source, a drain, a gate, and a channel region between the source and the drain. The gate is above dielectric above the channel region. A gate voltage is about equal to or greater than a breakdown voltage of the gate dielectric in order to break down the gate dielectric into a breakdown state. Current flows between the source and the drain as a result of breaking down the gate dielectric. In response to the transistor being programmed, the current flowing between the source and the drain is not based on the gate voltage at the gate.

    ANOMALY DETECTION USING IMAGE-BASED PHYSICAL CHARACTERIZATION

    公开(公告)号:US20200219247A1

    公开(公告)日:2020-07-09

    申请号:US16822471

    申请日:2020-03-18

    Abstract: An aspect of the invention includes reading a scale in image data representing an image of physical characteristics and resizing at least a portion of the image data to align with target image data representing a target image based at least in part on the scale to form resized image data representing one or more resized images. Noise reduction is applied to the resized image data to produce test image data representing one or more test images. A best fit analysis is performed on the test image data with respect to the target image data. Test image data having the best fit are stored with training image data representing classification training images indicative of one or more recognized features. An anomaly in unclassified image data representing an unclassified image is identified based at least in part on an anomaly detector as trained using the classification training images.

    Anomaly detection using image-based physical characterization

    公开(公告)号:US10664966B2

    公开(公告)日:2020-05-26

    申请号:US15879530

    申请日:2018-01-25

    Abstract: An aspect of the invention includes reading a scale in image data representing an image of physical characteristics and resizing at least a portion of the image data to align with target image data representing a target image based at least in part on the scale to form resized image data representing one or more resized images. Noise reduction is applied to the resized image data to produce test image data representing one or more test images. A best fit analysis is performed on the test image data with respect to the target image data. Test image data having the best fit are stored with training image data representing classification training images indicative of one or more recognized features. An anomaly in unclassified image data representing an unclassified image is identified based at least in part on an anomaly detector as trained using the classification training images.

    ANOMALY DETECTION USING IMAGE-BASED PHYSICAL CHARACTERIZATION

    公开(公告)号:US20190228519A1

    公开(公告)日:2019-07-25

    申请号:US15879530

    申请日:2018-01-25

    Abstract: An aspect of the invention includes reading a scale in image data representing an image of physical characteristics and resizing at least a portion of the image data to align with target image data representing a target image based at least in part on the scale to form resized image data representing one or more resized images. Noise reduction is applied to the resized image data to produce test image data representing one or more test images. A best fit analysis is performed on the test image data with respect to the target image data. Test image data having the best fit are stored with training image data representing classification training images indicative of one or more recognized features. An anomaly in unclassified image data representing an unclassified image is identified based at least in part on an anomaly detector as trained using the classification training images.

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