Patents Assigned to Peking University
  • Patent number: 10665145
    Abstract: The present application discloses a low-voltage digital to analog conversion circuit, a data driving circuit and a display system. At least one voltage dividing unit comprises a number of resistors connected in series between a lower limit of voltage and an upper limit of voltage, and voltage dividing output terminals drawn from the resistors' connection nodes and an upper limit of voltage connection end. Introducing the voltage dividing unit renders the low-voltage digital signal to analog signal conversion circuit, the data driving circuit, and the display system low-voltage devices with low power consumption and small chip area.
    Type: Grant
    Filed: March 24, 2016
    Date of Patent: May 26, 2020
    Assignee: Peking University Shenzhen Graduate School
    Inventors: Shengdong Zhang, Chuanli Leng, Xingwu Lin
  • Patent number: 10632115
    Abstract: The invention discloses a use of a statin compound in the preparation of local drugs for improving lipid metabolism and treating obesity, hypertension, hyperlipidemia, fatty liver and hyperglycemia; and statin compound local compositions for improving lipid metabolism and treating obesity, hypertension, fatty liver, hyperlipidemia, atherosclerosis, coronary heart disease, apoplexy and other cardiovascular and cerebrovascular diseases, and drug formulation and preparation method thereof.
    Type: Grant
    Filed: February 20, 2018
    Date of Patent: April 28, 2020
    Assignee: Peking University Third Hospital
    Inventors: Chunli Song, Ning Yang, Yueyi Cui, Yingsheng Yu
  • Publication number: 20200125957
    Abstract: The present invention provides a multi-agent cooperation decision-making and training method, including the following steps: S1: encoding, by an encoder, local observations obtained by agents by using a multi-layer perceptron or a convolutional neural network as feature vectors in a receptive field; S2: calculating, by a graph convolution layer, relationship strength between the agents by using a relationship unit of a multi-headed attention mechanism, integrating, by a relationship convolution kernel of the relationship unit, the feature vectors in the receptive field into new feature vectors, and iterating the graph convolution layer for multiple times to obtain a relationship description of the multi-headed attention mechanism in a larger receptive field and at a higher order; S3: splicing the feature vectors in the receptive field and the new feature vectors integrated by the graph convolution layer, sending the spliced vectors to a value network, wherein the value network selects and performs an action d
    Type: Application
    Filed: October 17, 2019
    Publication date: April 23, 2020
    Applicant: Peking University
    Inventors: Zongqing LU, Jiechuan JIANG
  • Patent number: 10630403
    Abstract: The present disclosure provides a method for determining a Doppler frequency shift of a wireless signal directly reflected by a moving object. An example method includes eliminating a random phase shift caused by non-synchronization between a wireless transmitting device and a wireless receiving device by using conjugate multiplication of the channel state information (CSI) on two antennas, thereby obtaining the complete Doppler frequency shift information from the phase information of the channel state information. The example method eliminates the effect on the Doppler frequency shift caused by frequency information of static paths in a manner of removing the mean, thereby obtaining an accurate frequency estimation of the moving object. A Multiple Signal Classification (MUSIC) algorithm may be used to estimate a frequency spectrum according to practical sampling intervals to avoid an effect on the frequency estimation accuracy caused by uneven sampling rate in a practical wireless transceiving system.
    Type: Grant
    Filed: July 13, 2018
    Date of Patent: April 21, 2020
    Assignee: Peking University
    Inventors: Daqing Zhang, Xiang Li
  • Patent number: 10628924
    Abstract: Method and device for deblurring an out-of-focus blurred image: first, a preset blur kernel is used to carry out blurring processing on an original image to obtain a re-blurred image. Blur amounts of pixels in an edge area of the original image are estimated according to the change of the image edge information in the blurring processing to obtain a sparse blur amount diagram. Blur amounts of pixels in a non-edge area of the original image are estimated according to the sparse blur amount diagram to obtain a complete blur amount diagram. Deblurring processing is carried out according to the complete blur amount diagram to obtain a deblurred image. In the method and device provided, since a blur amount diagram is obtained based on the change of edge information after image blurring, the blur amount diagram can be more accurate, so that the quality of a deblurred image is improved.
    Type: Grant
    Filed: December 14, 2015
    Date of Patent: April 21, 2020
    Assignee: Peking University Shenzhen Graduate School
    Inventors: Ronggang Wang, Xinxin Zhang, Zhenyu Wang, Wen Gao
  • Patent number: 10597634
    Abstract: The invention provides a device and the use thereof in a cell experiment in vitro. This device has a polydopamine layer-carboxymethyl chitosan layer-peptide layer structure, which is capable of regulating behaviors of human pluripotent stem cells and is useful in cell culture or a cell experiment in vitro.
    Type: Grant
    Filed: December 9, 2015
    Date of Patent: March 24, 2020
    Assignee: Peking University School and Hospital of Stomatology
    Inventors: Shicheng Wei, Ping Zhou, Xiaohong Zhang, Yongliang Li, Mengke Wang
  • Patent number: 10552989
    Abstract: Provided is a point cloud attribute compression method based on a KD tree and optimized graph transformation, wherein same, with regard to point cloud data, reduces the influence of a sub-graph issue on the graph transformation efficiency by means of a new transformation block division method, optimizes a graph transformation kernel parameter, and improves the compression performance of the graph transformation, and comprises: point cloud pre-processing, point cloud KD tree division, graph construction in the transformation block, graph transformation kernel parameter training, and a point cloud attribute compression process.
    Type: Grant
    Filed: March 29, 2018
    Date of Patent: February 4, 2020
    Assignee: Peking University Shenzhen Graduate School
    Inventors: Ge Li, Yiting Shao
  • Patent number: 10531817
    Abstract: The present invention relates to a fall detection method and system. The fall detection method comprises: receiving, by a first receiving antenna, a first WiFi signal stream propagating through an environment; receiving, by a second receiving antenna, a second WiFi signal stream propagating through the environment; determining a physical layer Channel State Information (CSI) stream, namely, a first CSI stream, of the first WiFi signal stream; determining a physical layer CSI stream, namely, a second CSI stream, of the second WiFi signal; determining a phase difference, namely, a CSI phase difference, between respective phase of the physical layer CSI stream of the first WiFi signal stream and the physical layer CSI stream of the second WiFi signal stream at the same time point, to form a CSI phase difference stream; and determining, according to the CSI streams and the CSI phase difference stream, a fall event.
    Type: Grant
    Filed: November 4, 2016
    Date of Patent: January 14, 2020
    Assignee: Peking University
    Inventors: Daqing Zhang, Hao Wang, Yasha Wang
  • Patent number: 10531093
    Abstract: A method and system for video frame interpolation based on an optical flow method is disclosed. The process includes calculating bidirectional motion vectors between two adjacent frames in a frame sequence of input video by using the optical flow method, judging reliabilities of the bidirectional motion vectors between the two adjacent frames, and processing a jagged problem and a noise problem in the optical flow method; marking “shielding” and “exposure” regions in the two adjacent frames, and updating an unreliable motion vector; with regard to the two adjacent frames, according to marking information about the “shielding” and “exposure” regions and the bidirectional motion vector field, mapping front and back frames to an interpolated frame to obtain a forward interpolated frame and a backward interpolated frame; synthesizing the forward interpolated frame and the backward interpolated frame into the interpolated frame; repairing a hole point in the interpolated frame to obtain a final interpolated frame.
    Type: Grant
    Filed: May 25, 2015
    Date of Patent: January 7, 2020
    Assignee: Peking University Shenzhen Graduate School
    Inventors: Chuanxin Tang, Ronggang Wang, Zhenyu Wang, Wen Gao
  • Publication number: 20190380585
    Abstract: The present invention provides a femtosecond pulse laser modulator and a miniature two-photon microscopic imaging device. The femtosecond pulse laser modulator includes a negative dispersion light path and a positive dispersion light path, wherein the negative dispersion light path includes a laser input fiber, which is configured to transmit laser compensated for through prechirp; the positive dispersion light path is located between a femtosecond pulse laser and the negative dispersion light path, and is configured to compensate for, through prechirp, negative dispersion of the laser produced in the laser input fiber. The femtosecond laser modulator provided in the present invention provides distortion-free transmission for the femtosecond pulse laser with a center wavelength in 920 nm, and effectively excites commonly used biological indicators.
    Type: Application
    Filed: February 11, 2018
    Publication date: December 19, 2019
    Applicant: Peking University
    Inventors: Liangyi Chen, Weijian Zong, Heping Cheng, Runlong Wu, Mingli Li, Yunfeng Zhang, Aimin Wang
  • Patent number: 10500017
    Abstract: A digital control laser automatic tooth preparation method and device and a tooth positioner are provided. The device includes an intra-oral three-dimensional scanner, a dental laser, an oral working end, an oral and maxillofacial cone beam CT scanner, a computer, a tooth positioner, a negative-pressure suction device and a real-time monitoring device. The computer is connected respectively with the intra-oral three-dimensional scanner, the dental laser, the oral working end, the oral and maxillofacial cone beam CT scanner, the negative-pressure suction device, and the real-time monitoring device. The dental laser is connected with the oral working end of the digital control laser tooth preparation control system through a light guiding arm (1). The oral working end of the digital control laser tooth preparation control system is connected with the tooth positioner and the real-time monitoring device. The negative-pressure suction device is connected with the tooth positioner.
    Type: Grant
    Filed: July 23, 2014
    Date of Patent: December 10, 2019
    Assignee: Peking University School of Stomatology
    Inventors: Peijun Lv, Yong Wang, Yuchun Sun, Dangxiao Wang, Wenqi Ge, Ning Dai, Yongbo Wang, Jing Zhang, Chaohui Shi, Yuru Zhang, Lei Wang, Lei Ma, Haihua Cui, Huifu Li, Dongdong Wang
  • Patent number: 10496423
    Abstract: The invention discloses a method for opening up data and functions of device applications based on reconstruction technology. The method modifies the runtime environment of the application to obtain control flow information when the application function and data are used, to reconstruct the original control flow. This method conducts program analysis of run-time control flow and application static code, removes application function and data that are unrelated to sub-control flows, and retains a set of sub-control flows and contexts directly related to application functions and data. In certain context environment, the sub-set of the control flows are reconstructed to achieve respective application functions and to acquire the application data. The disclosed method can be used to open functions and data of applications based on Java, C++, and JavaScript, etc. on different types of devices.
    Type: Grant
    Filed: September 23, 2016
    Date of Patent: December 3, 2019
    Assignee: Peking University
    Inventors: Ying Zhang, Huaqian Cai, Gang Huang, Wei Yao
  • Patent number: 10496418
    Abstract: The present application discloses a method for assembling ANDROID application based on application content. The method includes: 1) a server captures page information of an ANDROID application and creates an index, and saves metadata and index information of the page to a database, wherein the metadata includes the page jump logic of the ANDROID application; 2) a client sends a keyword input by a user to the server; 3) the server obtains an application list matching the keyword from the database and returns the metadata corresponding to the application list to the client; 4) after a target ANDROID application is selected from the application list, the client launches the target ANDROID application and automatically jumps to the page corresponding to the keyword according to the page jumping logic of the target ANDROID application. The invention breaks the isolation of information and provides a more natural assembly service among ANDROID applications.
    Type: Grant
    Filed: September 7, 2016
    Date of Patent: December 3, 2019
    Assignee: Peking University
    Inventors: Gang Huang, Xuanzhe Liu, Yi Liu, Yun Ma, Meihua Yu, Mengwei Xu
  • Patent number: 10494384
    Abstract: The present invention provides a urea peptidomimetic boronic compound and pharmaceutical compositions thereof, their preparative methods and uses. The compounds are represented by the following formula (I).
    Type: Grant
    Filed: September 22, 2016
    Date of Patent: December 3, 2019
    Assignees: Peking University, Zhengzhou Granlen Pharmatech. Ltd.
    Inventors: Runtao Li, Haoyun An, Liqiang Han, Zemei Ge, Jingrong Cui, Tieming Cheng
  • Patent number: 10446707
    Abstract: An optical waveguide detector is provided, which includes: a silicon waveguide layer and a germanium waveguide layer. The germanium waveguide layer includes a first heavily germanium-doped area and a germanium-undoped area. A first surface of the germanium waveguide layer includes a surface of the first heavily germanium-doped area, and the first surface is a surface of the germanium waveguide layer away from the silicon waveguide layer in the first direction. A width of the first heavily germanium-doped area is less than or equal to half a width of the first surface, and a thickness of the first heavily germanium-doped area is greater than or equal to 5 nm and less than or equal to 200 nm. According to embodiments, a bandwidth of the optical waveguide detector can be effectively increased.
    Type: Grant
    Filed: June 6, 2018
    Date of Patent: October 15, 2019
    Assignees: Huawei Technologies Co., Ltd., Peking University
    Inventors: Yonghao Fei, Jishi Cui, Yisheng Zhu
  • Patent number: 10431160
    Abstract: An organic light emitting diode panel, a gate driver circuit and a gate driver circuit unit are disclosed, where the gate driver circuit includes a scanning signal generating unit for generating a scanning signal, transmitting a first clock signal to a scanning signal output terminal under the control of a pulse signal, and pulling down and maintaining the voltage of the scanning signal output terminal at a low voltage level under the control of a second clock signal. The gate driver circuit unit also includes a light emitting signal generating unit for generating a light emitting signal, pulling down the voltage of the light emitting signal output terminal under the control of the pulse signal, and charging the light emitting signal output terminal under the control of the second clock signal.
    Type: Grant
    Filed: March 24, 2016
    Date of Patent: October 1, 2019
    Assignee: Peking University Shenzhen Graduate School
    Inventors: Shengdong Zhang, Zhijin Hu, Congwei Liao, Wenjie Li, Junmei Li, Shijie Cao
  • Patent number: 10424054
    Abstract: A low-illumination image processing method and device address the problem of noise amplification in existing contrast enhancement techniques when applied to original low-illumination image. A noise suppression filter is additionally arranged before an operation of contrast enhancement, and smoothing processing is performed on an inverse color image of a low-illumination image by adopting a first filtering coefficient and a second filtering coefficient, so that image contrast is enhanced while random noise is suppressed. Texture and noise level parameter of an image are calculated according to a local characteristic inside block of the image. Weighted averaging is performed on a first smoothing image and a second smoothing image after smoothing processing according to the texture and noise level parameters.
    Type: Grant
    Filed: June 26, 2015
    Date of Patent: September 24, 2019
    Assignee: Peking University Shenzhen Graduate School
    Inventors: Lin Li, Ronggang Wang, Chengzhou Tang, Zhenyu Wang, Wen Gao
  • Patent number: 10424052
    Abstract: An image representation method and processing device based on local PCA whitening. A first mapping module maps words and characteristics to a high-dimension space. A principal component analysis module conducts principal component analysis in each corresponding word space, to obtain a projection matrix. A VLAD computation module computes a VLAD image representation vector; a second mapping module maps the VLAD image representation vector to the high-dimension space. A projection transformation module conducts projection transformation on the VLAD image representation vector obtained by means of projection. A normalization processing module conducts normalization on characteristics obtained by means of projection transformation, to obtain a final image representation vector.
    Type: Grant
    Filed: September 15, 2015
    Date of Patent: September 24, 2019
    Assignee: Peking University Shenzhen Graduate School
    Inventors: Wenmin Wang, Mingmin Zhen, Ronggang Wang, Ge Li, Shengfu Dong, Zhenyu Wang, Ying Li, Wen Gao
  • Patent number: 10424075
    Abstract: A method and a device for post-processing depth/disparity maps adopt a strategy of combining edge information and segmentation information when detecting irregular edge regions. The method includes dividing a color image into super pixels when performing image segmentation on a color image; partitioning a grayscale range into a preset number of intervals, and for each super pixel, statistically obtaining a histogram of all the pixel points that fall within the intervals; determining, in a current super pixel, whether a ratio of the number of pixels contained in the interval having a maximum interval distribution value, to the total number of pixels in the current super pixel is less than the first threshold; and if so, further dividing the current super pixel using a color-based segmentation method. The disclosed method and device improve accuracy of color image division while ensuring image processing speed, thus improving detection accuracy of the irregular edge regions.
    Type: Grant
    Filed: May 6, 2015
    Date of Patent: September 24, 2019
    Assignee: Peking University Shenzhen Graduate School
    Inventors: Jianbo Jiao, Ronggang Wang, Zhenyu Wang, Wenmin Wang, Wen Gao
  • Patent number: 10425656
    Abstract: A video encoding and decoding method, and its inter-frame prediction method, device and system thereof are disclosed. The inter-frame prediction method includes obtaining a motion vector of the current image block and related spatial position of a current pixel, obtaining a motion vector of the current pixel according to the motion vector of the current image block and the related spatial position of the current pixel; and obtaining a predicted value of the current pixel according to the motion vector of the current pixel. The method considers both the motion vector of the current image block and the related spatial position information of the current pixel during inter-frame prediction. The method can accommodate lens distortion characteristics of different images and zoom-in/zoom-out produced when the object moves in pictures, thereby improving the calculation accuracy of pixels' motion vectors, and improving inter-frame prediction performance and compression efficiency in video encoding and decoding.
    Type: Grant
    Filed: January 19, 2016
    Date of Patent: September 24, 2019
    Assignee: Peking University Shenzhen Graduate School
    Inventors: Zhenyu Wang, Ronggang Wang, Xiubao Jiang, Wen Gao