Samsung Display Co., Ltd.

Vmware, Inc.

Yiwei Zhang

Janghwan Lee

Ning Lu

Margaret Angeline Petrus

Sunitha Krishna

Radha Popuri

Kavya Kambi Ravi

Some embodiments provide a method for modifying a firewall rule of a security policy implemented in a network. The method identifies a set of compute machines to be added to a match condition for the firewall rule. The match condition is expressed using one or more groups of compute machines. The method selects a set of groups for the identified set of compute machines from a plurality of existing groups of compute machines based on a user-specified threshold indicating tolerance for inclusion of compute machines that are not in the identified set of compute machines in the selected groups. The method uses the selected set of groups for the match condition of the firewall rule.

Reuse of groups in security policy

A system and method for white spot Mura defects on a display. The system is configured to pre-process an input images to generate a plurality of image patches. A feature vector is then extracted for each of the plurality of image patches. The feature vector includes at least one image moment feature and at least one texture feature. A machine learning classifier then determines the presence of a defect in each patch using the feature vector.

System and method for mura detection on a display

A multi-touch display panel includes: a display panel configured to display an image according to image data; a multi-touch panel arranged over the display panel and configured to generate touch data; and a communication module configured to communicate with a remote device. The remote device includes a display panel and a touch screen, and the communication module is further configured to receive the image data from the remote device and to provide the touch data to the remote device.

Multi-touch display panel and method of controlling the same

A method for detecting one or more white spot MURA defects in a display panel includes receiving an image of the display panel, the image including the one or more white spot MURA defects, dividing the image into a plurality of patches, each one of the plurality of patches corresponding to an m pixel by n pixel area of the image (wherein m and n are integers greater than or equal to one), generating a plurality of feature vectors for the plurality of patches, each of the feature vectors corresponding to one of the plurality of patches and including one or more image texture features and one or more image moment features, and classifying each one of the plurality of patches based on a respective one of the plurality of feature vectors by utilizing a multi-class support vector machine to detect the one or more white spot MURA defects.

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San Jose, CA, United States of America

Yiwei Zhang