Patents by Inventor Kuang-Cheng Lee

Kuang-Cheng Lee has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20240144467
    Abstract: A hot spot defect detecting method and a hot spot defect detecting system are provided. In the method, hot spots are extracted from a design of a semiconductor product to define a hot spot map comprising hot spot groups, wherein local patterns in a same context of the design yielding a same image content are defined as a same hot spot group. During runtime, defect images obtained by an inspection tool performing hot scans on a wafer manufactured with the design are acquired and the hot spot map is aligned to each defect image to locate the hot spot groups. The hot spot defects in each defect image are detected by dynamically mapping the hot spot groups located in each defect image to a plurality of threshold regions and respectively performing automatic thresholding on pixel values of the hot spots of each hot spot group in the corresponding threshold region.
    Type: Application
    Filed: January 8, 2024
    Publication date: May 2, 2024
    Applicant: Taiwan Semiconductor Manufacturing Company, Ltd.
    Inventors: Chien-Huei Chen, Pei-Chao Su, Xiaomeng Chen, Chan-Ming Chang, Shih-Yung Chen, Hung-Yi Chung, Kuang-Shing Chen, Li-Jou Lee, Yung-Cheng Lin, Wei-Chen Wu, Shih-Chang Wang, Chien-An Lin
  • Publication number: 20240127429
    Abstract: A meniscus tear assisted determination system includes an image capturing device and a processor. The image capturing device is for capturing a target protocol of a subject, and the target protocol includes a plurality of target knee joint image sequences. The processor is signally connected to the image capturing device and includes a data preprocessing module and a meniscus tear assisted determination program. The data preprocessing module is for grouping the plurality of target knee joint image sequences and extracting a plurality of target coronal plane image sequences and a plurality of target sagittal plane image sequences. The meniscus tear assisted determination program includes a meniscus location detector and a meniscus tear predictor.
    Type: Application
    Filed: February 23, 2023
    Publication date: April 18, 2024
    Applicant: China Medical University
    Inventors: Kuang-Sheng Lee, Kai-Cheng Hsu, Ya-Lun Wu, Ching-Ting Lin
  • Patent number: 7342253
    Abstract: A display panel with an anti-Newton ring structure is disclosed. The display panel includes a substrate with an array region and a display region defined thereon. A buffer layer is disposed on the substrate and at least one transistor is formed in the array region. The display panel further includes an anti-Newton ring structure substantially composed of a silicon layer on the buffer layer in the display region, at least one dielectric layer disposed on the anti-Newton ring structure, and a pixel electrode disposed on the dielectric layer in the display region.
    Type: Grant
    Filed: November 19, 2004
    Date of Patent: March 11, 2008
    Assignee: TPO Display Corp.
    Inventors: Jia-Hung Sun, Yaw-Ming Tsai, Shih-Chang Chang, Kuang-Cheng Lee
  • Publication number: 20060108586
    Abstract: A display panel with an anti-Newton ring structure is disclosed. The display panel includes a substrate with an array region and a display region defined thereon. A buffer layer is disposed on the substrate and at least one transistor is formed in the array region. The display panel further includes an anti-Newton ring structure substantially composed of a silicon layer on the buffer layer in the display region, at least one dielectric layer disposed on the anti-Newton ring structure, and a pixel electrode disposed on the dielectric layer in the display region.
    Type: Application
    Filed: November 19, 2004
    Publication date: May 25, 2006
    Inventors: Jia-Hung Sun, Yaw-Ming Tsai, Shih-Chang Chang, Kuang-Cheng Lee