Patents by Inventor Su-Yin YANG

Su-Yin YANG 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: 20240145596
    Abstract: A device includes a fin extending from a semiconductor substrate; a gate stack over the fin; a first spacer on a sidewall of the gate stack; a source/drain region in the fin adjacent the first spacer; an inter-layer dielectric layer (ILD) extending over the gate stack, the first spacer, and the source/drain region, the ILD having a first portion and a second portion, wherein the second portion of the ILD is closer to the gate stack than the first portion of the ILD; a contact plug extending through the ILD and contacting the source/drain region; a second spacer on a sidewall of the contact plug; and an air gap between the first spacer and the second spacer, wherein the first portion of the ILD extends across the air gap and physically contacts the second spacer, wherein the first portion of the ILD seals the air gap.
    Type: Application
    Filed: January 2, 2024
    Publication date: May 2, 2024
    Inventors: Su-Hao Liu, Kuo-Ju Chen, Kai-Hsuan Lee, I-Hsieh Wong, Cheng-Yu Yang, Liang-Yin Chen, Huicheng Chang, Yee-Chia Yeo, Syun-Ming Jang, Meng-Han Chou
  • Publication number: 20220183611
    Abstract: Disclosed is a process for identifying and extracting pain-related electroencephalogram (EEG) signals. The process comprises receiving, from one or more trials, EEG data for each trial; determining a current density for each signal; estimating the current density for a set of neural activity regions of interest, based on the computed current density; and computing at least one spectrum characteristic for each trial based on the estimated current density. Thus mean and variance of changes in the EEG data between EEG data labeled as being indicative of a pain state and EEG data labeled as being indicative of a non-pain state, for each neural activity region of interest can be calculated, and pain-related EEG signals can be identified based on at least one a region of interest at which the variance is below a predetermined threshold.
    Type: Application
    Filed: March 29, 2019
    Publication date: June 16, 2022
    Applicants: AGENCY FOR SCIENCE, TECHNOLOGY AND RESEARCH, TAN TOCK SENG HOSPITAL PTE LTD
    Inventors: Kok Soon PHUA, Hai Hong ZHANG, Su-Yin YANG, Fong Ling LOY, Ka Yin Christina TANG, Soon Huat NG, Chuan Chu WANG, Cuntai GUAN, Soon Yin TJAN