Patents by Inventor Fuchun SUN

Fuchun SUN 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).

  • Patent number: 11974731
    Abstract: The invention proposes an automatic throat swab sampling system, which comprises an automatic to-be-tested person identity information checking and collection prompting unit, a to-be-tested person head positioning unit, a navigation positioning unit which enters the oral cavity of a to-be-detected person along with the tail end of the sample collection execution unit for collecting a throat image and determining depth information between a depth sensor and the throat of the to-be-detected person, a sample collection execution unit including a three-degree-of-freedom guide rail type device and a one-degree-of-freedom end execution mechanism, an automatic throat swab loading and unloading unit and a remote monitoring unit which are arranged on a working platform.
    Type: Grant
    Filed: May 20, 2021
    Date of Patent: May 7, 2024
    Assignee: TSINGHUA UNIVERSITY
    Inventors: Fuchun Sun, Bin Fang, Huaping Liu
  • Publication number: 20220414856
    Abstract: The present invention proposes a fabric defect detection method based on multi-modal deep learning. First, a tactile sensor is placed onto the fabric surface with different defects to collect the fabric texture images, a camera is used to collect the corresponding fabric external images, and a fabric external image and a fabric texture image constitute a set of fabric detection data; then, a feature extraction network and a multi-modal fusion network are connected to establish a classification model based on multi-modal deep learning, which uses the fabric texture image and fabric external image in each set of collected fabric detection data as input, and the fabric defect as output; said classification model is trained using the collected fabric detection data; finally, the trained classification model is used to detect the fabric defect. The present invention employs vision-touch complementary information, which can greatly improve the accuracy and robustness of detection.
    Type: Application
    Filed: August 26, 2020
    Publication date: December 29, 2022
    Inventors: Fuchun Sun, Bin Fang, Huaping Liu
  • Publication number: 20210369252
    Abstract: The invention proposes an automatic throat swab sampling system, which comprises an automatic to-be-tested person identity information checking and collection prompting unit, a to-be-tested person head positioning unit, a navigation positioning unit which enters the oral cavity of a to-be-detected person along with the tail end of the sample collection execution unit for collecting a throat image and determining depth information between a depth sensor and the throat of the to-be-detected person, a sample collection execution unit including a three-degree-of-freedom guide rail type device and a one-degree-of-freedom end execution mechanism, an automatic throat swab loading and unloading unit and a remote monitoring unit which are arranged on a working platform.
    Type: Application
    Filed: May 20, 2021
    Publication date: December 2, 2021
    Inventors: Fuchun Sun, Bin Fang, Huaping Liu
  • Publication number: 20210321875
    Abstract: The invention relates to a real-time monitoring and recognition system based on bracelet temperature measurement and positioning, comprising an ID card reader, multiple smart bracelets, multiple wireless node devices mounted at intervals in crowd gathering occasions for collecting sensing information of all smart bracelets nearby, and a cloud data processing unit for acquiring the temperature, position and motion state information of a wearer to intelligently identify the real-time body temperature health state, motion state, regional activity state, accompanying aggregation state and the like of individuals and groups through big data analysis in combination with the information, wherein each smart bracelet comprises an in-wrist temperature measurement sensor, a motion sensor, a Bluetooth sensor, a display lamp, a battery, a battery charging port, a vibration alarm and an embedded type chip processor which are arranged in a waterproof wristband; it is particularly suitable for individual and group monitoring
    Type: Application
    Filed: May 21, 2021
    Publication date: October 21, 2021
    Inventors: Bin Fang, Fuchun Sun, Huaping Liu
  • Patent number: 10326698
    Abstract: A kind of congestion improvement method based on the QUIC protocol adds the information of round trip delay in the congestion algorithm, self-adaptive changes the value of ? to judge the situation of current network through comparison between the RTT of last time and the current RTT and then adjusts the current target window value in accordance with the current network situation, changing the congestion window based on the cubic growth curve of the cubic algorithm. This improvement method can make the QUIC protocol judge the current network situation more timely and accurately and can make the congestion window change quickly to fully utilize the bandwidth. The maximum congestion window limitation 200 exists in the QUIC protocol, which will not exceed 200 no matter how the congestion window grows. Such limitation largely reduces the throughput rate of QUIC protocol in the network environment with high bandwidth and long round trip delay.
    Type: Grant
    Filed: May 23, 2017
    Date of Patent: June 18, 2019
    Assignee: SICHUAN UNIVERSITY
    Inventors: Junfeng Wang, Fuchun Sun, Lixiang Liu, Dong Liu, Shiping Yang
  • Patent number: 10270702
    Abstract: A kind of transmission method based on the learnable power model, which conducts periodic record for the historical change trend of the network. This method conducts weighting smooth processing on the round trip time and judges the changing trend of congestion control window. Then, it establishes model for the relationship between network power and the congestion control widow. When a new ACK is received, it immediately updates the window of power model. Finally, it forecasts the size of the congestion control window of the next time period by combining the congestion window and the network power changing trend. For the network packet loss or time-out events, the retransmission mechanism of traditional TCP is used, and when the packet loss ends, the power model process is used again. This invention reduces the influence of the network random events of the estimation error of traditional algorithm.
    Type: Grant
    Filed: May 23, 2017
    Date of Patent: April 23, 2019
    Assignee: SICHUAN UNIVERSITY
    Inventors: Junfeng Wang, Dong Liu, Lixiang Liu, Fuchun Sun, Shiping Yang
  • Patent number: 10263904
    Abstract: A kind of self-adaptive network congestion control method based on SCPS-TP, which includes the following steps: The SCPS-TP's gateway source-end receives and transmits the packets to destination end; Judge if there is new packet received in accordance with the analyzed ACK; If there is no new packet received, when the duplicate ACK counter increase to a certain value, change the window size's growth pattern to linear self-adaptive pattern; If there is new packet received, the congestion control is in the exponential growth pattern. After window is enlarged, Diff is bigger than the set threshold value and the congestion control method is changed to linear self-adaptive pattern; If congestion control is in the linear self-adaptive pattern, adjust window size in accordance with Diff; The SCPS-TP's gateway source-end sends the packets in the packet loss buffer to destination end and sends new packets in accordance with the size of congestion window.
    Type: Grant
    Filed: May 23, 2017
    Date of Patent: April 16, 2019
    Assignee: SICHUAN UNIVERSITY
    Inventors: Junfeng Wang, Lixiang Liu, Fuchun Sun, Dong Liu, Shiping Yang
  • Publication number: 20180013683
    Abstract: A kind of transmission method based on the learnable power model, which conducts periodic record for the historical change trend of the network. This method conducts weighting smooth processing on the round trip time and judges the changing trend of congestion control window. Then, it establishes model for the relationship between network power and the congestion control widow. When a new ACK is received, it immediately updates the window of power model. Finally, it forecasts the size of the congestion control window of the next time period by combining the congestion window and the network power changing trend. For the network packet loss or time-out events, the retransmission mechanism of traditional TCP is used, and when the packet loss ends, the power model process is used again. This invention reduces the influence of the network random events of the estimation error of traditional algorithm.
    Type: Application
    Filed: May 23, 2017
    Publication date: January 11, 2018
    Applicant: SICHUAN UNIVERSITY
    Inventors: Junfeng WANG, Dong LIU, Lixiang LIU, Fuchun SUN, Shiping YANG
  • Publication number: 20170353386
    Abstract: A kind of congestion improvement method based on the QUIC protocol adds the information of round trip delay in the congestion algorithm, self-adaptive changes the value of ? to judge the situation of current network through comparison between the RTT of last time and the current RTT and then adjusts the current target window value in accordance with the current network situation, changing the congestion window based on the cubic growth curve of the cubic algorithm. This improvement method can make the QUIC protocol judge the current network situation more timely and accurately and can make the congestion window change quickly to fully utilize the bandwidth. The maximum congestion window limitation 200 exists in the QUIC protocol, which will not exceed 200 no matter how the congestion window grows. Such limitation largely reduces the throughput rate of QUIC protocol in the network environment with high bandwidth and long round trip delay.
    Type: Application
    Filed: May 23, 2017
    Publication date: December 7, 2017
    Applicant: SICHUAN UNIVERSITY
    Inventors: Junfeng WANG, Fuchun SUN, Lixiang LIU, Dong LIU, Shiping YANG
  • Publication number: 20170346750
    Abstract: A kind of self-adaptive network congestion control method based on SCPS-TP, which includes the following steps: The SCPS-TP's gateway source-end receives and transmits the packets to destination end; Judge if there is new packet received in accordance with the analyzed ACK; If there is no new packet received, when the duplicate ACK counter increase to a certain value, change the window size's growth pattern to linear self-adaptive pattern; If there is new packet received, the congestion control is in the exponential growth pattern. After window is enlarged, Diff is bigger than the set threshold value and the congestion control method is changed to linear self-adaptive pattern; If congestion control is in the linear self-adaptive pattern, adjust window size in accordance with Diff; The SCPS-TP's gateway source-end sends the packets in the packet loss buffer to destination end and sends new packets in accordance with the size of congestion window.
    Type: Application
    Filed: May 23, 2017
    Publication date: November 30, 2017
    Applicant: SICHUAN UNIVERSITY
    Inventors: Junfeng WANG, Lixiang LIU, Fuchun SUN, Dong LIU, Shiping YANG