Patents by Inventor Xinming Lu

Xinming Lu 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).

  • Method for modifying polyester by swelling agent combined with cutinase
    Patent number: 11946197
    Abstract: The present disclosure relates to a method for modifying polyester by a swelling agent combined with cutinase, belonging to the technical field of textile processing. According to the method, a phenol solution or an o-vanillin solution is used as the swelling agent to perform swelling treatment on the polyester, and combined with a Humicola insolens cutinase solution to perform hydrophilic modification on the polyester, which not only significantly improves the release amount of hydrolysates, but also reduces the fabric mass loss compared with the traditional chemical modification method.
    Type: Grant
    Filed: July 27, 2023
    Date of Patent: April 2, 2024
    Assignee: JIANGNAN UNIVERSITY
    Inventors: Jiajia Fu, Jundan Feng, Artur Cavaco-paulo, Rong Li, Yuzheng Lu, Xinming Zheng, Ruijuan Han, Chaoran Meng
  • CT lymph node detection system based on spatial-temporal recurrent attention mechanism
    Patent number: 11158048
    Abstract: The present disclosure discloses a CT lymph node detection system based on a spatial-temporal recurrent attention mechanism and specifically relates to the field of medical image analysis technologies. Based on a deep convolutional neural network and a recurrent attention mechanism, the present disclosure can construct an attention feature map adaptive to a lesion size in a slice direction and a spatial direction of a lymph node CT sequence.
    Type: Grant
    Filed: October 21, 2019
    Date of Patent: October 26, 2021
    Assignee: SHANDONG UNIVERSITY OF SCIENCE AND TECHNOLOGY
    Inventors: Haixin Peng, Yingran Ma, Yuanhong Wang, Yanjun Peng, Xinming Lu
  • CT LYMPH NODE DETECTION SYSTEM BASED ON SPATIAL-TEMPORAL RECURRENT ATTENTION MECHANISM
    Publication number: 20200410671
    Abstract: The present disclosure discloses a CT lymph node detection system based on a spatial-temporal recurrent attention mechanism and specifically relates to the field of medical image analysis technologies. Based on a deep convolutional neural network and a recurrent attention mechanism, the present disclosure can construct an attention feature map adaptive to a lesion size in a slice direction and a spatial direction of a lymph node CT sequence.
    Type: Application
    Filed: October 21, 2019
    Publication date: December 31, 2020
    Inventors: Haixin PENG, Yingran MA, Yuanhong WANG, Yanjun PENG, Xinming LU
  • Ray casting visualization multi-user interaction processing method based on hadoop and CUDA
    Patent number: 9953396
    Abstract: The present invention relates to the technical field of visualization in scientific computing, and specifically discloses a ray casting visualization multi-user interaction processing method based on Hadoop and CUDA. On one hand, the method of the present invention employs the parallel processing capability of Hadoop, MapReduce, and NVIDIA CUDA for accelerated rendering, and, on the other hand, the present invention designs a method to avoid duplicate computation for a multi-user interaction environment, thereby reducing the time consumption of duplicate computation. The method of the present invention realizes the fast operation of each pixel gradient, ray resampling and data synthesis and can accomplish the 3D visualization imaging rapidly and efficiently.
    Type: Grant
    Filed: September 26, 2017
    Date of Patent: April 24, 2018
    Assignee: SHANDONG UNIVERSITY OF SCIENCE AND TECHNOLOGY
    Inventors: Yanjun Peng, Jiawei Yu, Yuanhong Wang, Ruisheng Jia, Xinming Lu
  • RAY CASTING VISUALIZATION MULTI-USER INTERACTION PROCESSING METHOD BASED ON HADOOP AND CUDA
    Publication number: 20180108107
    Abstract: The present invention relates to the technical field of visualization in scientific computing, and specifically discloses a ray casting visualization multi-user interaction processing method based on Hadoop and CUDA. On one hand, the method of the present invention employs the parallel processing capability of Hadoop, MapReduce, and NVIDIA CUDA for accelerated rendering, and, on the other hand, the present invention designs a method to avoid duplicate computation for a multi-user interaction environment, thereby reducing the time consumption of duplicate computation. The method of the present invention realizes the fast operation of each pixel gradient, ray resampling and data synthesis and can accomplish the 3D visualization imaging rapidly and efficiently.
    Type: Application
    Filed: September 26, 2017
    Publication date: April 19, 2018
    Applicant: Shandong University of Science and Technology
    Inventors: Yanjun PENG, Jiawei Yu, Yuanhong Wang, Ruisheng Jia, Xinming Lu
  • Method for shallow dopant distribution
    Patent number: 7105427
    Abstract: Vacancies and dopant ions are introduced near the surface of a semiconductor wafer. The dopant ions which diffuse by an interstitialcy mechanism have diffusivity greatly reduced, which leads to a very low resistivity doped region and a very shallow junction.
    Type: Grant
    Filed: August 30, 2004
    Date of Patent: September 12, 2006
    Inventors: Wei-Kan Chu, Lin Shao, Xinming Lu, Jiarui Liu, Xuemei Wang
  • Semiconductor wafer with ultra thin doping level formed by defect engineering
    Patent number: 6812523
    Abstract: Vacancies and dopant ions are introduced near the surface of a semiconductor wafer. The dopant ions which diffuse by an interstitialcy mechanism have diffusivity greatly reduced, which leads to a very low resistivity doped region and a very shallow junction.
    Type: Grant
    Filed: September 9, 2002
    Date of Patent: November 2, 2004
    Inventors: Wei-Kan Chu, Lin Shao, Xinming Lu, Jiarui Liu, Xuemei Wang