Patents by Inventor Zihan Chen

Zihan Chen 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: 11889192
    Abstract: The present disclosure provides a load stabilization device, a control method thereof, and a computer readable storage medium. In the load stabilization device, a motion sensor, a processor, a stabilization motor, and a parallelogram mechanism constitute a closed-loop feedback control system. A control instruction for the stabilization motor is generated based on a velocity of a second end of the parallelogram mechanism in a direction of gravity relative to a ground, where the second end may carry a load, and the stabilization motor is controlled to drive, according to the control instruction, the parallelogram mechanism to rotate relative to a base, so as to at least partially offset or compensate for jitter of the load carried at the second end of the parallelogram mechanism in the direction of gravity, suppress disturbance generated at a first end of the parallelogram mechanism, and stabilize the load carried at the second end.
    Type: Grant
    Filed: January 25, 2022
    Date of Patent: January 30, 2024
    Assignee: SZ DJI TECHNOLOGY CO., LTD.
    Inventors: Zihan Chen, Wen Xu, Peng Bin
  • Publication number: 20240024863
    Abstract: A field of environmental protection and discloses a method for preparing an amorphous silica-alumina encapsulated metal oxide catalyst and application thereof. The catalyst is prepared by filling silica-alumina precursors in tunnels of a monometallic or bimetallic complex and then performing heat treatment. The catalyst has the advantages that acidic sites and oxygen vacancies are highly dispersed, the pore size range is large and the mass transfer efficiency is high, improves the efficiency of a cracking-oxidation tandem reaction, and achieves full purification of carbon/nitrogen pollutants in landfill leachate. The COD removal rate of the landfill leachate reaches 98.3% or above, and the ammonia nitrogen removal rate thereof reaches 98.0% or above. The COD concentration of oxypyrolysis purified effluent is less than 98.7 mg/L and the ammonia nitrogen concentration thereof is less than 24.9 mg/L.
    Type: Application
    Filed: June 30, 2023
    Publication date: January 25, 2024
    Applicants: NANJING TECH UNIVERSITY, NANJING RESOURCES AND ENVIRONMENT ENGINEERING TECHNOLOGY RESEARCH INSTITUTE CO., LTD.
    Inventors: Zhuxiu ZHANG, Xu QIAO, Tao WEI, Jihai TANG, Mifen CUI, Zihan ZHOU, Zhe ZHOU, Jinghao FAN, Xian CHEN, Zhaoyang FEI, Qing LIU
  • Patent number: 11880120
    Abstract: A gimbal control method includes configuring, while a gimbal is in a power-on state, turning-off motor control parameters according to a mass of a camera device carried by the gimbal. The gimbal includes an electric motor. The turning-off motor control parameters are configured to control the electric motor when the gimbal is powered off or enters a sleep state. The method further includes, in response to the gimbal being powered off or entering the sleep state, controlling a torque of the electric motor to decrease gradually from a starting moment at which the gimbal is powered off or enters the sleep state according to the turning-off motor control parameters.
    Type: Grant
    Filed: November 12, 2020
    Date of Patent: January 23, 2024
    Assignee: SZ DJI TECHNOLOGY CO., LTD.
    Inventors: Wenlin Xie, Zihan Chen, Yanchong Zhao
  • Patent number: 11818493
    Abstract: The present disclosure provides a fire source detection method and device under the condition of a small sample size, and a storage medium, and belongs to the field of target detection and industrial deployment. The method includes the steps of acquiring fire source image data from an industrial site; constructing a fire source detection model; inputting the fire source image data to the fire source detection model, and analyzing the fire source image data via the fire source detection model to obtain a detection result, where the detection result includes a specific location, precision and type of a fire source. By means of the method, the problems of insufficient sample capacity and difficulty in training under the condition of a small sample size are solved, and different enhancement methods are used to greatly increase the number and quality of samples and improve the over-fitting ability of models.
    Type: Grant
    Filed: May 5, 2022
    Date of Patent: November 14, 2023
    Assignee: Anhui University
    Inventors: Jie Chen, Jianming Lv, Zihan Cheng, Zhixiang Huang, Haitao Wang, Bing Li, Huiyao Wan, Yun Feng
  • Publication number: 20230330530
    Abstract: A prop control method in a virtual scene is performed by a computer device. The method includes: displaying a first scene picture of the virtual scene, the first scene picture including a first virtual object and a scene element; when a distance between the first virtual object and the scene element in the virtual scene meets a predefined condition, receiving a prop pull operation for the scene element by the first virtual object; and in response to the prop pull operation for the scene element, controlling the first virtual object pull a target virtual prop corresponding to the scene element closer to the first virtual object. By using the foregoing method, when a user controls a virtual object to interact with a virtual prop, the power consumption and data usage of a computer device is reduced.
    Type: Application
    Filed: June 22, 2023
    Publication date: October 19, 2023
    Inventors: Siyi YAN, Mingwei ZOU, Guanlin HUANG, Hengshun ZHAN, Qi ZHAO, Xu WANG, Jingxuan CHEN, Jiakai CHEN, Zihan ZHOU, Ru XIAO
  • Publication number: 20230330531
    Abstract: A virtual scene transformation method includes: displaying a first virtual scene picture, the first virtual scene picture comprising a first scene model in a virtual scene, and the first virtual scene picture being about the virtual scene observed by a virtual object; while the virtual scene is observed by the virtual object, displaying a scene transformation when the virtual scene meets a scene transformation condition, the scene transformation including a first stage in which the first scene model is gradually deleted, and a second stage in which a second scene model is gradually generated in the virtual scene, the second stage lagging behind the first stage; and displaying a second virtual scene picture when the scene transformation is completed, the second virtual scene picture comprising the second scene model.
    Type: Application
    Filed: June 23, 2023
    Publication date: October 19, 2023
    Inventors: Mingwei ZOU, Xu WANG, Hengshun ZHAN, Guanlin HUANG, Qi ZHAO, Jingxuan CHEN, Ru XIAO, Zihan ZHOU
  • Publication number: 20230330535
    Abstract: This application discloses a virtual picture display method performed by a computer device. The method includes: displaying a virtual environment picture, the virtual environment picture comprising a first object and a virtual prop controlled by a first virtual object; receiving an interaction operation for the first virtual object to interact with the first object by using the virtual prop, and the first region comprising a first environment element; in response to the interaction operation and the first object meeting an environment switching condition, displaying an element switching process of switching a first environment element located in a first region of the virtual environment to a second environment element; and in response to completion of the element switching process, displaying the second environment element located in the first region of the virtual environment.
    Type: Application
    Filed: June 23, 2023
    Publication date: October 19, 2023
    Inventors: Qi ZHAO, Hengshun Zhan, Guanlin Huang, Jingxuan Chen, Mingwei Zou, Zihan Zhou, Ru Xiao, Xu Wang
  • Patent number: 11748919
    Abstract: A method of image reconstruction for a cross-modal communication system is disclosed. The method reconstructs a damaged, lost, or delayed image signal during transmission by using complete haptic signals received by a receiving end in the cross-modal communication system, and further constructs a cross-modal interaction network with reference to an attention mechanism, thus solving the limitation of the conventional generation model that it can only be trained on paired samples. An image reconstruction device for a cross-modal communication system is also disclosed. By fully utilizing semantic correlation between different-modality data and realizing cross-modal generation from haptic signals to image signals for unpaired data, the present invention overcomes the difficulty in acquiring haptic-image signal pairs in the practical cross-modal communication system, and significantly improves the quality and class accuracy of generated image signals.
    Type: Grant
    Filed: July 1, 2022
    Date of Patent: September 5, 2023
    Assignee: NANJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS
    Inventors: Liang Zhou, Xin Wei, Meng Zhang, Jianxin Chen, Zihan Gao
  • Patent number: 11738209
    Abstract: Methods and systems for correcting position errors for a multi-leaf collimator (MLC) are provided. A method may include determining a first position for each of the plurality of leaves. The information associated with the first position may include a first movement direction and a first angle. A movement of the each of the plurality of leaves along the first movement direction may be configured to move toward or away from a center of the radiation field. The method may also include determining an offset value associated with the first position based on the first angle and the first movement direction; and determining a target position of the each of the plurality of leaves based on the offset value.
    Type: Grant
    Filed: July 19, 2021
    Date of Patent: August 29, 2023
    Assignee: SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD.
    Inventors: Boqi Ma, Zihan Li, Yujie Chen, Lang Yu
  • Patent number: 11741400
    Abstract: Techniques for automatically detecting when a ride requester has requested a ride-share ride on behalf of a guest rider using some or all of the communications between the driver and ride requester are described herein. For example, a server can obtain chat logs between a ride requester and a driver and process the chat logs to identify whether the ride requester has requested a ride on behalf of a guest rider. In particular, the server can train an artificial intelligence model (e.g., a machine learning model) to predict potential guest rider behavior. Once trained, the server can obtain chat logs comprising chat messages sent between a driver and a ride requester, and apply a representation of the chat logs as an input to the trained artificial intelligence model to determine whether guest rider behavior is detected.
    Type: Grant
    Filed: December 18, 2020
    Date of Patent: August 29, 2023
    Assignee: Beijing DiDi Infinity Technology and Development Co., Ltd.
    Inventors: Conghui Fu, Zihan Yi, Zetian Ni, Xin Chen
  • Publication number: 20230196633
    Abstract: A method of image reconstruction for a cross-modal communication system is disclosed. The method reconstructs a damaged, lost, or delayed image signal during transmission by using complete haptic signals received by a receiving end in the cross-modal communication system, and further constructs a cross-modal interaction network with reference to an attention mechanism, thus solving the limitation of the conventional generation model that it can only be trained on paired samples. An image reconstruction device for a cross-modal communication system is also disclosed. By fully utilizing semantic correlation between different-modality data and realizing cross-modal generation from haptic signals to image signals for unpaired data, the present invention overcomes the difficulty in acquiring haptic-image signal pairs in the practical cross-modal communication system, and significantly improves the quality and class accuracy of generated image signals.
    Type: Application
    Filed: July 1, 2022
    Publication date: June 22, 2023
    Inventors: Liang ZHOU, Xin Wei, Meng Zhang, Jianxin Chen, Zihan Gao
  • Publication number: 20230188671
    Abstract: The present disclosure provides a fire source detection method and device under the condition of a small sample size, and a storage medium, and belongs to the field of target detection and industrial deployment. The method includes the steps of acquiring fire source image data from an industrial site; constructing a fire source detection model; inputting the fire source image data to the fire source detection model, and analyzing the fire source image data via the fire source detection model to obtain a detection result, where the detection result includes a specific location, precision and type of a fire source. By means of the method, the problems of insufficient sample capacity and difficulty in training under the condition of a small sample size are solved, and different enhancement methods are used to greatly increase the number and quality of samples and improve the over-fitting ability of models.
    Type: Application
    Filed: May 5, 2022
    Publication date: June 15, 2023
    Applicant: Anhui University
    Inventors: Jie Chen, Jianming Lv, Zihan Cheng, Zhixiang Huang, Haitao Wang, Bing Li, Huiyao Wan, Yun Feng
  • Publication number: 20230184927
    Abstract: A contextual visual-based synthetic-aperture radar (SAR) target detection method and apparatus, and a storage medium, belonging to the field of target detection is described. The method includes: obtaining an SAR image; and inputting the SAR image into a target detection model, and positioning and recognizing a target in the SAR image by using the target detection model, to obtain a detection result. In the present disclosure, a two-way multi-scale connection operation is enhanced through top-down and bottom-up attention, to guide learning of dynamic attention matrices and enhance feature interaction under different resolutions. The model can extract the multi-scale target feature information with higher accuracy, for bounding box regression and classification, to suppress interfering background information, thereby enhancing the visual expressiveness.
    Type: Application
    Filed: May 6, 2022
    Publication date: June 15, 2023
    Applicant: Anhui University
    Inventors: Jie Chen, Runfan Xia, Zhixiang Huang, Huiyao Wan, Xiaoping Liu, Zihan Cheng, Bocai Wu, Baidong Yao, Zheng Zhou, Jianming Lv, Yun Feng, Wentian Du, Jingqian Yu
  • Publication number: 20230186436
    Abstract: The present disclosure provides a method for fine-grained detection of driver distraction based on unsupervised learning, belonging to the field of driving behavior analysis. The method includes: acquiring distracted driving image data; and inputting the acquired distracted driving image data into an unsupervised learning detection model, analyzing the distracted driving image data by using the unsupervised learning detection model, and determining a driver distraction state according to an analysis result. The unsupervised learning detection model includes a backbone network, projection heads, and a loss function; the backbone network is a RepMLP network structure incorporating a multilayer perceptron (MLP); the projection heads are each an MLP incorporating a residual structure; and the loss function is a loss function based on contrastive learning and a stop-gradient strategy.
    Type: Application
    Filed: April 28, 2022
    Publication date: June 15, 2023
    Applicant: Anhui University
    Inventors: Jie Chen, Bing Li, Zihan Cheng, Haitao Wang, Jingmin Xi, Yingjian Deng
  • Publication number: 20230186652
    Abstract: The present disclosure provides a transformer-based driver distraction detection method and apparatus, belonging to the field of driving behavior analysis. The method includes: acquiring districted driving image data; building a driver distraction detection model FPT; inputting the acquired distracted driving image data into the driver distraction detection model FPT, analyzing the distracted driving image data by using the driver distraction detection model FPT, and determining a driver distraction state according to an analysis result. The present disclosure proposes a new network model, i.e., a driver distraction detection model FPT, based on Swin, Twins, and other models. Compared with a deep learning model, the FPT model compensates for the drawback that the deep learning model can only extract local features; the FPT model improves the classification accuracy and reduces the parameter quantity and calculation amount compared with the transformer model.
    Type: Application
    Filed: May 10, 2022
    Publication date: June 15, 2023
    Applicant: Anhui University
    Inventors: Jie Chen, Haitao Wang, Bing Li, Zihan Cheng, Jingmin Xi, Yingjian Deng
  • Publication number: 20230087361
    Abstract: A dianthrone compound may be used in preparation of a medicament for prevention and/or treatment of myocardial ischemic diseases and related diseases thereof. The dianthrone compound includes trans-emodin dianthrone and/or cis-emodin dianthrone.
    Type: Application
    Filed: September 13, 2022
    Publication date: March 23, 2023
    Applicants: National Institutes for Food and Drug Control, Institute of Materia Medica Chinese Academy of Medical Sciences
    Inventors: Shuangcheng MA, Hua SUN, Feng WEI, Jianbo YANG, Ting OUYANG, Qi WANG, Zihan CHEN, Ying WANG, Yunfei SONG, Zhiwei CHEN, Huiyu GAO, Xueting WANG
  • Patent number: 11560920
    Abstract: A method of stabilizing a payload fitted in a carrier includes providing a first carrier component of the carrier, supporting a second carrier component of the carrier using the first carrier component, and supporting a third carrier component of the carrier using the second carrier component. The first carrier component is configured to permit rotation of the payload about a pitch axis. The second carrier component is configured to permit rotation of the payload about a yaw axis. The third carrier component is configured to permit rotation of the payload about a roll axis and connects to the payload.
    Type: Grant
    Filed: December 13, 2019
    Date of Patent: January 24, 2023
    Assignee: SZ DJI OSMO TECHNOLOGY CO., LTD.
    Inventors: Zihan Chen, Shanguang Guo
  • Publication number: 20230002343
    Abstract: The invention relates to the field of pharmaceutical chemistry, and it particularly relates to a left-handed bicyclic morpholine and a pharmaceutically acceptable salt thereof, a preparation method therefor, a pharmaceutical composition and use thereof in the preparation of medicaments for preventing and/or treating liver diseases and the like.
    Type: Application
    Filed: September 15, 2020
    Publication date: January 5, 2023
    Applicants: Institute of Materia Medica, Chinese Academy of Medical Sciences, Changchun Intellicrown Pharmaceutical Co., Ltd.
    Inventors: Song WU, Hua SUN, Jinlan ZHANG, Wenxuan ZHANG, Zhe WANG, Qingyun YANG, Lin JIANG, Zihan CHEN, Jing SHEN, Jie ZHANG, Chi ZHANG, Zunsheng HAN, Tong QIN, Yuanyuan ZHANG
  • Patent number: 11411472
    Abstract: An unmanned aerial vehicle (UAV) includes a UAV body, and a stabilizing platform mounted on the UAV body and configured to stabilize a payload device. The stabilizing platform includes a frame assembly adapted to hold the payload device and a brushless motor coupled to the frame assembly. The brushless motor is configured to directly drive the frame assembly in response to one or more motor signals to allow the payload device to rotate around at least one of a pitch axis, a roll axis, or a yaw axis of the payload device. A brushless motor includes a rotor housing; a stator disposed within the rotor housing; and a linear Hall effect sensor. A posture of the payload device is controlled by adjusting a rotational angle of the brushless motor, and the rotational angle of the brushless motor is determined using the linear Hall effect sensor.
    Type: Grant
    Filed: January 15, 2021
    Date of Patent: August 9, 2022
    Assignee: SZ DJI OSMO TECHNOLOGY CO., LTD.
    Inventor: Zihan Chen
  • Patent number: D979528
    Type: Grant
    Filed: October 20, 2020
    Date of Patent: February 28, 2023
    Assignee: VIVO MOBILE COMMUNICATION CO., LTD.
    Inventors: Feng Yu, An Ren, Zihan Chen