Patents by Inventor Yujia Li

Yujia Li 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: 20180307594
    Abstract: A standard conformance testing system and method for a CIM/E model of a power system and a storage medium include: converting the standards “Power Grid Common Model Description Specification (GB/T 30149)” and “Power Grid Operating Model Data Exchange Specification (DL/T 1380)” into practically operable testing rules, and performing automatic generation and verification of a CIM/E standard model and defect model. The testing system and method can improve the comprehensiveness and standardization of a CIM/E model standard compliance test, improving testing efficiency, promoting the level of standardization according to the CIM/E model in a power system software development process, and real time data exchange and interoperation between respective application systems, effectively supporting the safe and stable operation of a power grid.
    Type: Application
    Filed: July 4, 2016
    Publication date: October 25, 2018
    Applicants: CHINA ELECTRIC POWER RESEARCH INSTITUTE COMPANY LIMITED, STATE GRID CORPORATION OF CHINA
    Inventors: Linpeng Zhang, Yujia Li, Qingbo Yang, Lixin Li, Fangchun Di, Yunhao Huang, Dapeng Li, Lei Tao, Yangchun Hao, Zhenyu Chen
  • Publication number: 20160091965
    Abstract: A “Natural Motion Controller” identifies various motions of one or more parts of a user's body to interact with electronic devices, thereby enabling various natural user interface (NUI) scenarios. The Natural Motion Controller constructs composite motion recognition windows by concatenating an adjustable number of sequential periods of inertial sensor data received from a plurality of separate sets of inertial sensors. Each of these separate sets of inertial sensors are coupled to, or otherwise provide sensor data relating to, a separate user worn, carried, or held mobile computing device. Each composite motion recognition window is then passed to a motion recognition model trained by one or more machine-based deep learning processes. This motion recognition model is then applied to the composite motion recognition windows to identify a sequence of one or more predefined motions. Identified motions are then used as the basis for triggering execution of one or more application commands.
    Type: Application
    Filed: September 30, 2014
    Publication date: March 31, 2016
    Inventors: Jiaping Wang, Yujia Li, Xuedong Huang, Lingfeng Wu, Wei Xiong, Kaisheng Yao, Geoffrey Zweig