Patents by Inventor Xianfu LIU

Xianfu LIU 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: 20250121134
    Abstract: A system for determining an endotype of hypotension of a patient can include a hemodynamic sensor and a converter. The system can receive, from the hemodynamic sensor, an analog hemodynamic sensor signal from the patient. The system can convert, using the converter, the analog hemodynamic sensor signal to an arterial pressure signal waveform and extract from the arterial pressure signal waveform a plurality of heart health parameters. Using a deep learning model, the system can encode the plurality of heart health parameters into one or more latent space heart health parameters. The system can generate a location in latent space of the arterial pressure signal waveform and determine a relative location of the arterial pressure signal waveform in latent space. Based on the relative location, the system can determine the endotype of hypotension of the patient and display an alert indicating the endotype of hypotension.
    Type: Application
    Filed: October 11, 2024
    Publication date: April 17, 2025
    Inventors: Xianfu Liu, Zhongping Jian, Feras Al Hatib, Jacobus Jozef Gerardus Maria Settels, Brennan Michael Schneider
  • Patent number: 11815565
    Abstract: The present disclosure provides a system for perceiving an operating state of a large power transformer based on vibro-acoustic integration, including a perception layer, a network layer, and a diagnostic layer, where the perception layer is used for monitoring, in real time, a state parameter for a coupling vibration signal and an acoustic signal of each of a transformer core, a winding, a clamp and a housing, a state parameter of each of a vibration signal and an acoustic signal during a gear position change of an on-load tap changer (OLTC), and preliminarily diagnosing and analyzing monitored data. The system can monitor the operating state of the OLTC online for a long time, flexibly configure the sensor channel and the sensor type according to different application requirements, automatically acquire and identify the gear position change, and correctly identify and process a gear position corresponding to the monitoring signal.
    Type: Grant
    Filed: October 8, 2021
    Date of Patent: November 14, 2023
    Assignees: STATE GRID XINJIANG CO., LTD. ELECTRIC POWER RESEARCH INSTITUTE, Nanjing Unitech Electric Power Co., Ltd., State Grid Corporation of China
    Inventors: Yi You, Ling Zhang, Kaike Wang, Cheng He, Puzhi Zhao, Ronggang Gao, Jianping Zhao, Xinxin Wang, Xianfu Liu
  • Patent number: 11700585
    Abstract: A communication system that includes neural network system configured to learn from training examples of radio frequency (RF) signals, and circuitry configured to label a first set of fifth generation (5G) RF signals originated from a first type of source and a second set of 5G RF signals originated from a second type of source. At least one RF impairment is added randomly to each labelled example of the first set of 5G RF signals and the second set of 5G RF signals, wherein randomization of artificially added RF impairment to each labeled example corresponds to addition of different RF impairments randomly to different labeled examples. The neural network system is trained with a plurality of labelled examples. Each labelled example includes an artificially added RF impairment. The circuitry uses the trained neural network system to detect an input 5G RF signal having a new RF impairment.
    Type: Grant
    Filed: May 3, 2021
    Date of Patent: July 11, 2023
    Assignee: Movandi Corporation
    Inventors: Ahmadreza Rofougaran, Sam Gharavi, Xianfu Liu, Qiyue Zou
  • Publication number: 20220349957
    Abstract: The present disclosure provides a system for perceiving an operating state of a large power transformer based on vibro-acoustic integration, including a perception layer, a network layer, and a diagnostic layer, where the perception layer is used for monitoring, in real time, a state parameter for a coupling vibration signal and an acoustic signal of each of a transformer core, a winding, a clamp and a housing, a state parameter of each of a vibration signal and an acoustic signal during a gear position change of an on-load tap changer (OLTC), and preliminarily diagnosing and analyzing monitored data. The system can monitor the operating state of the OLTC online for a long time, flexibly configure the sensor channel and the sensor type according to different application requirements, automatically acquire and identify the gear position change, and correctly identify and process a gear position corresponding to the monitoring signal.
    Type: Application
    Filed: October 8, 2021
    Publication date: November 3, 2022
    Inventors: Yi You, Ling Zhang, Kaike Wang, Cheng He, Puzhi Zhao, Ronggang Gao, Jianping Zhao, Xinxin Wang, Xianfu Liu
  • Publication number: 20220279060
    Abstract: The present disclosure provides a casing structure of an electronic device including a first casing and a second casing, the second casing is detachably installed on the first casing, the second casing is provided with an approximately square main body part, the main body part is provided with a first end and a second end which are opposite, and the first end can be supported on the first casing to rotate so that the first casing and the second casing are in a relatively open state or buckled state, the casing structure of an electronic device can include at least one limiting part and at least one butt joint part, wherein the at least one limiting part extends downwards from the middle of the main body part and is located between the first end and the second end.
    Type: Application
    Filed: June 29, 2020
    Publication date: September 1, 2022
    Inventors: Dongsheng WANG, Jing LIU, Lijing ZHANG, Zhenxi WANG, Xianfu LIU
  • Publication number: 20210258899
    Abstract: A communication system that includes neural network system configured to learn from training examples of radio frequency (RF) signals, and circuitry configured to label a first set of fifth generation (5G) RF signals originated from a first type of source and a second set of 5G RF signals originated from a second type of source. At least one RF impairment is added randomly to each labelled example of the first set of 5G RF signals and the second set of 5G RF signals, wherein randomization of artificially added RF impairment to each labeled example corresponds to addition of different RF impairments randomly to different labeled examples. The neural network system is trained with a plurality of labelled examples. Each labelled example includes an artificially added RF impairment. The circuitry uses the trained neural network system to detect an input 5G RF signal having a new RF impairment.
    Type: Application
    Filed: May 3, 2021
    Publication date: August 19, 2021
    Inventors: Ahmadreza Rofougaran, Sam Gharavi, Xianfu Liu, Qiyue Zou
  • Patent number: 11026198
    Abstract: A communication system that includes neural network system configured to learn from training examples of radio frequency (RF) signals, and circuitry configured to label a first set of fifth generation (5G) RF signals originated from a first type of source and a second set of 5G RF signals originated from a second type of source. At least one RF impairment is added randomly to each labelled example of the first set of 5G RF signals and the second set of 5G RF signals, wherein randomization of artificially added RF impairment to each labeled example corresponds to addition of different RF impairments randomly to different labeled examples. The neural network system is trained with a plurality of labelled examples. Each labelled example includes an artificially added RF impairment. The circuitry uses the trained neural network system to detect an input 5G RF signal having a new RF impairment.
    Type: Grant
    Filed: September 16, 2019
    Date of Patent: June 1, 2021
    Assignee: SILICON VALLEY BANK
    Inventors: Ahmadreza Rofougaran, Sam Gharavi, Xianfu Liu, Qiyue Zou
  • Publication number: 20210084601
    Abstract: A communication system that includes neural network system configured to learn from training examples of radio frequency (RF) signals, and circuitry configured to label a first set of fifth generation (5G) RF signals originated from a first type of source and a second set of 5G RF signals originated from a second type of source. At least one RF impairment is added randomly to each labelled example of the first set of 5G RF signals and the second set of 5G RF signals, wherein randomization of artificially added RF impairment to each labeled example corresponds to addition of different RF impairments randomly to different labeled examples. The neural network system is trained with a plurality of labelled examples. Each labelled example includes an artificially added RF impairment. The circuitry uses the trained neural network system to detect an input 5G RF signal having a new RF impairment.
    Type: Application
    Filed: September 16, 2019
    Publication date: March 18, 2021
    Inventors: Ahmadreza Rofougaran, Sam Gharavi, Xianfu Liu, Qiyue Zou
  • Patent number: 10670464
    Abstract: A method of collecting radiation information of a turbine blade, the method including: 1) collecting a radiated light from the surface of the turbine blade, analyzing the radiated light using a spectrometer to calculate compositions and corresponding concentrations of combustion gas; 2) calculating an absorption coefficient of the combustion gas at different concentrations; 3) calculating a total absorption rate of the combustion gas at different radiation wavelengths under different concentrations of component gases; 4) obtaining a relationship between the radiation and a wavelength; 5) finding at least 3 bands with a least gas absorption rate; 6) calculating a distance between a wavelength of a strongest radiation point of the turbine blade and the center wavelength, and selecting three central wavelengths closest to the wavelength with the strongest radiation; and 7) acquiring radiation data of the turbine blade in the windows obtained in 6).
    Type: Grant
    Filed: January 14, 2018
    Date of Patent: June 2, 2020
    Assignee: UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA
    Inventors: Chao Wang, Ying Duan, Jun Hu, Zezhan Zhang, Yang Yang, Xueke Gou, Fei Wang, Jing Jiang, Jinguang Lv, Yueming Wang, Hongchuan Jiang, Li Du, Jiexiong Ding, Jingqiu Liang, Xianfu Liu, Xiaojiang Shi, Bing Xiong
  • Patent number: 10632136
    Abstract: A soluble dietary fiber having a xylooligosaccharide purity of 70% or greater. The xylooligosaccharide has a total xylobiose and xylotriose content of 45% or great. The soluble dietary fiber has a higher content of an effective component, thus improving the proliferation of a Bifidobacterium and Lactobacillus, and significantly reducing blood glucose.
    Type: Grant
    Filed: August 25, 2016
    Date of Patent: April 28, 2020
    Assignee: SHANDONG LONGLIVE BIO-TECHNOLOGY CO., LTD
    Inventors: Shaobo Cheng, Lin Xiao, Shulin Qin, Ruirui Xia, Xianfu Liu, Jinlong Yan, Ying Li, Lingjun Kong, Yan Wang, Zhiguang Zou, Chengquan Zhang
  • Publication number: 20190003893
    Abstract: A method of collecting radiation information of a turbine blade, the method including: 1) collecting a radiated light from the surface of the turbine blade, analyzing the radiated light using a spectrometer to calculate compositions and corresponding concentrations of combustion gas; 2) calculating an absorption coefficient of the combustion gas at different concentrations; 3) calculating a total absorption rate of the combustion gas at different radiation wavelengths under different concentrations of component gases; 4) obtaining a relationship between the radiation and a wavelength; 5) finding at least 3 bands with a least gas absorption rate; 6) calculating a distance between a wavelength of a strongest radiation point of the turbine blade and the center wavelength, and selecting three central wavelengths closest to the wavelength with the strongest radiation; and 7) acquiring radiation data of the turbine blade in the windows obtained in 6).
    Type: Application
    Filed: January 14, 2018
    Publication date: January 3, 2019
    Inventors: Chao WANG, Ying DUAN, Jun HU, Zezhan ZHANG, Yang YANG, Xueke GOU, Fei WANG, Jing JIANG, Jinguang LV, Yueming WANG, Hongchuan JIANG, Li DU, Jiexiong DING, Jingqiu LIANG, Xianfu LIU, Xiaojiang SHI, Bing XIONG
  • Publication number: 20180296581
    Abstract: A soluble dietary fiber having a xylooligosaccharide purity of 70% or greater. The xylooligosaccharide has a total xylobiose and xylotriose content of 45% or great. The soluble dietary fiber has a higher content of an effective component, thus improving the proliferation of a bifidobacterium and lactobacillus, and significantly reducing blood glucose.
    Type: Application
    Filed: August 25, 2016
    Publication date: October 18, 2018
    Applicant: SHANDONG LONGLIVE BIO-TECHNOLOGY CO., LTD
    Inventors: Shaobo CHENG, Lin XIAO, Shulin QIN, Ruirui XIA, Xianfu LIU, Jinlong YAN, Ying LI, Lingjun KONG, Yan WANG, Zhiguang ZOU, Chengquan ZHANG