Patents by Inventor Junjiang Li

Junjiang 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: 20250227835
    Abstract: An X-band small-focus accelerator for non-destructive testing is provided, including: a magnetron used to generate microwaves; an accelerating tube used to accelerate electrons, where the accelerating tube is an X-band accelerating tube; a microwave system connected between the magnetron and the accelerating tube, and used to feed the microwaves generated by the magnetron into the accelerating tube; an electron gun connected to the accelerating tube, and used to emit an electron beam into the accelerating tube; and an electron gun power supply used to supply power to the electron gun, where the accelerating tube, the microwave system, the magnetron and the electron gun power supply are arranged in sequence in a front-rear direction of the accelerator to determine a length of the accelerator.
    Type: Application
    Filed: June 30, 2023
    Publication date: July 10, 2025
    Inventors: Yaohong LIU, Huaibi CHEN, Wei JIA, Hao ZHA, Yu HE, Jian LI, Weiqiang GUAN, Ming JIN, Qing YE, Junjiang LI, Yan XU
  • Patent number: 11995796
    Abstract: A method of reconstruction of super-resolution of video frame includes inputting a first video frame with a first resolution and a plurality of consecutive frames thereof into a pre-trained super-resolution reconstruction network, and outputting, by the pre-trained super-resolution reconstruction network, a second video frame with a second resolution corresponding to the first video frame. The second resolution is higher than the first resolution. The super-resolution reconstruction network includes a feature extraction subnetwork, a spatial-temporal non-local alignment subnetwork, an attention progressive fusion subnetwork, and an up-sampling subnetwork which are connected in sequence.
    Type: Grant
    Filed: November 17, 2021
    Date of Patent: May 28, 2024
    Inventors: Dengyin Zhang, Chao Zhou, Can Chen, Junjiang Li, Zijie Liu, Yi Cheng
  • Patent number: 11983562
    Abstract: A multidimensional resource scheduling method in a Kubernetes cluster architecture system is provided. For a computing-intensive service, each server node in the cluster is scored according to CPU idleness and memory idleness; for an ordinary service, each server node in the cluster is scored according to resource requirements of a scheduling task, a resource priority of each server node and resource balance of each server node. The pod scheduling task is bound to a server node with a highest score for execution. This scheduling method meets diverse resource requests of various services, thereby enhancing the flexibility and expandability of the system.
    Type: Grant
    Filed: August 6, 2021
    Date of Patent: May 14, 2024
    Assignee: NANJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS
    Inventors: Dengyin Zhang, Lin Zhu, Junjiang Li, Zijie Liu, Chengwan Ai
  • Patent number: 11868944
    Abstract: A container image management system for distributed clusters, the system including at least one master node and at least one worker node. The at least one master node includes a container image database, a request input module and a container image management module. The container image management module is responsive when the container image management module establishes the connection to the container image database, then it is configured to perform a read/write operation on the container image database. The container image database is a distributed database configured to store node information of the at least one master node and the at least one worker node in the container image management system. The request input module is configured to receive request content including a request destination and command execution content. The command execution content includes an execution operation field and an executed container image list.
    Type: Grant
    Filed: December 10, 2020
    Date of Patent: January 9, 2024
    Inventors: Dengyin Zhang, Junjiang Li, Can Chen, Chao Zhou, Zijie Liu
  • Patent number: 11734152
    Abstract: A method for detecting comprehensive GPU-related factors of a distributed cluster, the method including: (1): checking whether there is a configuration file content of an operating node; (2): reading a mode parameter in an environment variable of the operating node, and correspondingly switching an operating mode according to the mode parameter; (3): reading a timer frequency value from the environment variable of the operating node so as to set a time period for reading a GPU information parameter according to the timer frequency value; (4): calculating the maximum value of the GPU information parameter of the operating node, and storing the maximum value into the GPU information list cache; and (5): initializing the transmitted information; determining whether there is a GPU in the GPU information list cache of the operating node.
    Type: Grant
    Filed: July 7, 2021
    Date of Patent: August 22, 2023
    Assignee: Nanjing University of Posts and Telecommunications
    Inventors: Dengyin Zhang, Junjiang Li, Yi Cheng, Yingjie Kou, Zheng Zhou, Wensheng Han, Shibo Kang
  • Patent number: 11656902
    Abstract: Disclosed in the present invention are a distributed container image construction scheduling system and method. The system includes a construction node and a management node. The construction node includes an image constructor for executing a construction task issued by the management node. The management node includes a console and a scheduler. The console is responsible for acquiring the relevant parameters such as a development dependency library and system configuration required by a user, and generating tasks with these parameters and sending same to the scheduler. The scheduler is used for receiving the tasks sent by the console, detecting the legitimacy of the tasks, and sending the tasks to the corresponding construction node to be run.
    Type: Grant
    Filed: January 6, 2021
    Date of Patent: May 23, 2023
    Inventors: Dengyin Zhang, Junjiang Li, Zijie Liu, Lin Zhu, Yi Cheng, Yingying Zhou, Zhaoxi Shi
  • Patent number: 11490128
    Abstract: The present disclosure provides a deep neural network (DNN)-based reconstruction method and apparatus for compressive video sensing (CVS). The method divides a video signal into a key frame and a non-key frame. The key frame is reconstructed by using an existing image reconstruction method. The non-key frame is reconstructed by using a special DNN according to the present disclosure. The neural network includes an adaptive sampling module, a multi-hypothesis prediction module, and a residual reconstruction module. The neural network makes full use of a spatio-temporal correlation of the video signal to sample and reconstruct the video signal. This ensures low time complexity of an algorithm while improving reconstruction quality. Therefore, the method in the present disclosure is applicable to a video sensing system with limited resources on a sampling side and high requirements for reconstruction quality and real-time performance.
    Type: Grant
    Filed: August 17, 2020
    Date of Patent: November 1, 2022
    Inventors: Dengyin Zhang, Chao Zhou, Can Chen, Junjiang Li, Zijie Liu
  • Publication number: 20220291956
    Abstract: A distributed container scheduling method includes: monitoring a container creation event in a Kubernetes API-Server in real time, and validating a container created once a new container creation event is detected; updating a container scheduling queue with containers passing the validation; when the container scheduling queue is empty, performing no operation until the containers passing the validation are added to the queue; when the container scheduling queue is not empty, reading the containers to be scheduled from the container scheduling queue in sequence, and selecting, from a Kubernetes cluster, an optimal node corresponding to the containers to be scheduled to generate a container scheduling two-tuple; and scheduling, based on the container scheduling two-tuple, the containers to be scheduled to the optimal node to finish the distributed container scheduling operation.
    Type: Application
    Filed: March 22, 2022
    Publication date: September 15, 2022
    Inventors: Dengyin ZHANG, Junjiang LI, Zijie LIU, Yi CHENG, Yingjie KOU, Hong ZHU, Weidan YAN
  • Publication number: 20220261959
    Abstract: A method of reconstruction of super-resolution of video frame includes inputting a first video frame with a first resolution and a plurality of consecutive frames thereof into a pre-trained super-resolution reconstruction network, and outputting, by the pre-trained super-resolution reconstruction network, a second video frame with a second resolution corresponding to the first video frame. The second resolution is higher than the first resolution. The super-resolution reconstruction network includes a feature extraction subnetwork, a spatial-temporal non-local alignment subnetwork, an attention progressive fusion subnetwork, and an up-sampling subnetwork which are connected in sequence.
    Type: Application
    Filed: November 17, 2021
    Publication date: August 18, 2022
    Inventors: Dengyin ZHANG, Chao ZHOU, Can CHEN, Junjiang LI, Zijie LIU, Yi CHENG
  • Publication number: 20220171652
    Abstract: Disclosed in the present invention are a distributed container image construction scheduling system and method. The system includes a construction node and a management node. The construction node includes an image constructor for executing a construction task issued by the management node. The management node include, a console and a scheduler. The console is responsible for acquiring the relevant parameters such as a development dependency library and system configuration required by a user, and generating tasks with these parameters and sending same to the scheduler. The scheduler is used for receiving the tasks sent by the console, detecting the legitimacy of the tasks, and sending the tasks to the corresponding construction node to be run.
    Type: Application
    Filed: January 6, 2021
    Publication date: June 2, 2022
    Inventors: Dengyin ZHANG, Junjiang LI, Zijie LIU, Lin ZHU, Yi CHENG, Yingying ZHOU, Zhaoxi SHI
  • Publication number: 20220030281
    Abstract: The present disclosure provides a deep neural network (DNN)-based reconstruction method and apparatus for compressive video sensing (CVS). The method divides a video signal into a key frame and a non-key frame. The key frame is reconstructed by using an existing image reconstruction method. The non-key frame is reconstructed by using a special DNN according to the present disclosure. The neural network includes an adaptive sampling module, a multi-hypothesis prediction module, and a residual reconstruction module. The neural network makes full use of a spatio-temporal correlation of the video signal to sample and reconstruct the video signal. This ensures low time complexity of an algorithm while improving reconstruction quality. Therefore, the method in the present disclosure is applicable to a video sensing system with limited resources on a sampling side and high requirements for reconstruction quality and real-time performance.
    Type: Application
    Filed: August 17, 2020
    Publication date: January 27, 2022
    Inventors: Dengyin ZHANG, Chao ZHOU, Can CHEN, Junjiang LI, Zijie LIU
  • Publication number: 20210382808
    Abstract: A method for detecting comprehensive GPU-related factors of a distributed cluster, the method including: (1): checking whether there is a configuration file content of an operating node; (2): reading a mode parameter in an environment variable of the operating node, and correspondingly switching an operating mode according to the mode parameter; (3): reading a timer frequency value from the environment variable of the operating node so as to set a time period for reading a GPU information parameter according to the timer frequency value; (4): calculating the maximum value of the GPU information parameter of the operating node, and storing the maximum value into the GPU information list cache; and (5): initializing the transmitted information; determining whether there is a GPU in the GPU information list cache of the operating node.
    Type: Application
    Filed: July 7, 2021
    Publication date: December 9, 2021
    Inventors: Dengyin ZHANG, Junjiang LI, Yi CHENG, Yingjie KOU, Zheng ZHOU, Wensheng HAN, Shibo KANG
  • Publication number: 20210365290
    Abstract: A multidimensional resource scheduling method in a Kubernetes cluster architecture system is provided. For a computing-intensive service, each server node in the cluster is scored according to CPU idleness and memory idleness; for an ordinary service, each server node in the cluster is scored according to resource requirements of a scheduling task, a resource priority of each server node and resource balance of each server node. The pod scheduling task is bound to a server node with a highest score for execution. This scheduling method meets diverse resource requests of various services, thereby enhancing the flexibility and expandability of the system.
    Type: Application
    Filed: August 6, 2021
    Publication date: November 25, 2021
    Inventors: Dengyin ZHANG, Lin ZHU, Junjiang LI, Zijie LIU, Chengwan AI
  • Publication number: 20210097477
    Abstract: A container image management system for distributed clusters, the system including at least one master node and at least one worker node. The at least one master node includes a container image database, a request input module and a container image management module. The container image management module is responsive when the container image management module establishes the connection to the container image database, then it is configured to perform a read/write operation on the container image database. The container image database is a distributed database configured to store node information of the at least one master node and the at least one worker node in the container image management system. The request input module is configured to receive request content including a request destination and command execution content. The command execution content includes an execution operation field and an executed container image list.
    Type: Application
    Filed: December 10, 2020
    Publication date: April 1, 2021
    Inventors: Dengyin ZHANG, Junjiang LI, Can CHEN, Chao ZHOU, Zijie LIU
  • Publication number: 20160259762
    Abstract: The disclosure provides a webpage layout method and apparatus, a computer storage medium and a terminal. The webpage layout method includes steps as follows: it is determined whether a current webpage belongs to pre-counted webpages frequently accessed by a user, and a determining result is obtained; when the determining result is YES, a user preference value of each channel in the current webpage is counted, and the current webpage starts to be rendered; and during rendering the current webpage, if the user preference value of a detected channel is determined to be greater than a set basic preference value, all pieces of sub-link information in the channel are rendered; otherwise, if the user preference value of the detected channel is determined to be smaller than or equal to the basic preference value, all pieces of sub-link information in the channel are rendered in an additionally initiated thread.
    Type: Application
    Filed: November 21, 2013
    Publication date: September 8, 2016
    Inventor: Junjiang Li
  • Patent number: D1038190
    Type: Grant
    Filed: May 17, 2024
    Date of Patent: August 6, 2024
    Inventor: Junjiang Li
  • Patent number: D1069491
    Type: Grant
    Filed: October 12, 2024
    Date of Patent: April 8, 2025
    Inventor: Junjiang Li