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公开(公告)号：US20240042431A1
公开(公告)日：2024-02-08
申请号：US17638885
申请日：2021-04-29
Inventor： Mengjun HOU , Xiangguo MA , Kai GENG , Qiong WU , Youxue WANG , Zongmin LIU
IPC: B01L3/00
CPC classification number: B01L3/502715 , B01L2300/0819 , B01L2300/0829 , B01L2300/0816 , B01L2300/1827 , B01L2400/0487 , B01L2200/025
Abstract: A chip loading structure, an analysis device and an analysis system are provided. The chip loading structure includes a loading plate body having therein an accommodating space adapted to accommodate a detection chip; a first hollow area and at least one second hollow area, which penetrate to the accommodating space, are disposed on a first plate surface of the loading plate body, the first hollow area being configured to expose a reaction observation area of the detection chip, the at least one second hollow area being configured to expose at least one reagent port of the detection chip; the loading plate body is further provided with a connection portion which is detachably connectable to a transportation section in an analysis device, the transportation section being configured to transport the loading plate body.
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2.发明公开公开(公告)号：US20230160823A1
公开(公告)日：2023-05-25
申请号：US17423941
申请日：2021-03-12
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor： Mengjun HOU , Qiong WU , Youxue WANG , Kai GENG , Zhukai LIU , Jing Yu
CPC classification number: G01N21/6428 , G01N21/1717 , G01N2201/0873
Abstract: The present disclosure provides an analysis device for a detection chip, an analysis system and a method of operating the analysis device. The analysis device includes a loading part, a temperature control part and a signal detection part. The loading part is configured to receive and hold the detection chip in use and is capable of moving the detection chip. The temperature control part includes a heater and a cooler, the heater is configured to heat the detection chip and the cooler is configured to cool the detection chip. The signal detection part includes an optical sensor. The optical sensor is configured to receive light from the detection chip and perform detection according to the light.
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3.发明申请公开(公告)号：US20220292805A1
公开(公告)日：2022-09-15
申请号：US17754158
申请日：2021-04-15
Applicant: BOE TECHNOLOGY GROUP CO., LTD. , PEKING UNIVERSITY
Inventor： Jie FENG , Yadong MU , Shuai WANG , Guiyu TIAN , Yiming BAI , Xiangye WEI , Ge OU , Qiong WU
IPC: G06V10/26 , G06V10/44 , G06V10/764 , G06V10/774 , G06N7/00
Abstract: An image processing method and apparatus, and a device and a computer-readable storage medium. The method comprises: acquiring an image data set, wherein the image data set includes an image and accompanying text related to an unknown category in the image (S101); and generating a probability and/or distribution of the unknown category by means of an unknown category acquisition model (S102); wherein the probability and/or distribution of the unknown category comprises the probability of each pixel in the image being from the unknown category, the probability of the unknown category being present in the image, and a partitioning probability after the image is subdivided into a plurality of areas. By means of the method, a large amount of human labor costs and time can be saved on.
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公开(公告)号：US20220156895A1
公开(公告)日：2022-05-19
申请号：US17501874
申请日：2021-10-14
Applicant: BOE Technology Group Co., Ltd.
Inventor： Dawei TANG , Jijing HUANG , Qiong WU , Ge OU , Chuqian ZHONG , Zhiliang WANG
IPC: G06T5/00
Abstract: An image processing method and device, an image detecting method and system, and a storage medium are provided. The image processing method comprises: acquiring a target image; counting pixels of the target image to obtain a count value; adding compensation data at a peripheral position of an edge pixel of the target image according to the count value, to obtain pixel data of the compensated target image.
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5.发明公开公开(公告)号：US20240319537A1
公开(公告)日：2024-09-26
申请号：US18641465
申请日：2024-04-22
Applicant: BOE Technology Group Co., Ltd.
Inventor： Huiling XUE , Yifan HOU , Shuo ZHANG , Xiangjun PENG , Qiong WU , Xin DUAN , Wei SUN
IPC: G02F1/13357 , G09G3/34
CPC classification number: G02F1/133606 , G02F1/133603 , G09G3/342 , G09G2330/021 , G09G2360/16
Abstract: Disclosed is a backlight diffusion parameter generation method, including: selecting and measuring illumination diffusion data of at least one light emitting region in a plurality of light emitting regions, the illumination diffusion data includes brightness data of a plurality of pixels on a display panel and distance data between positions corresponding to the plurality of pixels and a position where an illuminated light emitting region is located when only one of the light emitting regions is illuminated; preprocessing the illumination diffusion data to obtain an effective pixel; performing function fitting according to data corresponding to a plurality of effective pixels to obtain a point spread function representing a relationship between diffusion brightness and a diffusion distance; and storing a backlight diffusion parameter lookup table, which includes a plurality of sub-tables, each sub-table corresponds to one or more light emitting regions affected when only one light emitting region is illuminated.
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Patent Agency Ranking
公开(公告)号：US20220317723A1
公开(公告)日：2022-10-06
申请号：US17599490
申请日：2020-10-29
Applicant: BOE Technology Group Co., Ltd.
Inventor： Jijing HUANG , Dawei TANG , Zhiming YANG , Qiong WU , Zongmin LIU
Abstract: The present disclosure provides a method, device, and system for delaying signals as well as medical registration equipment, and belongs to the field of communication technologies. The method includes: determining, based on a clock period of each level of delay clock signals, a quantity of clock periods of each level of delay clock signals that are required for delaying a drive signal by a total quantity of delay phases; and delaying the drive signal by the determined quantity of clock periods of each level of delay clock signals sequentially. Therefore, on the premise that a data volume of a to-be-delayed drive signal is fixed, compared with a method for delaying signals by directly using a register, the method according to the present disclosure not only reliably realizes signal delaying, but also effectively reduces a quantity of required registers.
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公开(公告)号：US20220287684A1
公开(公告)日：2022-09-15
申请号：US17626657
申请日：2021-03-11
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor： Jijing HUANG , Zhiming YANG , Zongmin LIU , Mengjun HOU , Dawei TANG , Qiong WU
Abstract: Provided are an ultrasonic imaging method and device, and a storage medium. The ultrasonic imaging method includes: acquiring an ultrasonic echo signal; segmenting the ultrasonic echo signal into a first predetermined number of sub-echo signals according to scan depths; performing amplitude apodization on each sub-echo signal with a predetermined window function to obtain processed sub-echo signals; completing ultrasonic imaging according to the processed sub-echo signals. At least one sub-echo signal is subjected to the follow processing: segmenting the at least one sub-echo signal into a second predetermined number of unit echo signals according to the scan depths, and assigning a weighting coefficient to each unit echo signal; performing amplitude apodization on each unit echo signal with the corresponding predetermined window function, and weighting the unit echo signals with corresponding weighting coefficients to obtain processed unit echo signals; and forming a processed sub-echo signal from the processed unit echo signals.
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8.发明申请公开(公告)号：US20220114724A1
公开(公告)日：2022-04-14
申请号：US17423439
申请日：2020-08-17
Inventor： Yongming SHI , Qiong WU , Ge OU , Chun WANG
Abstract: An image processing model generation method includes: inputting at least one training sample lesion image into an initial image processing model, the initial image processing model including a classification layer and a marking layer; calling the classification layer; calling the marking layer; obtaining a loss value of the at least one training sample lesion image in the initial image processing model; determining whether the loss value is within a preset range; if not, updating parameters of the initial image processing model, an image processing model with updated parameters being used as an initial image processing model in next training; and repeating above steps until the to loss value is within the preset range.
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公开(公告)号：US20240371336A1
公开(公告)日：2024-11-07
申请号：US18777612
申请日：2024-07-19
Applicant: BOE Technology Group Co., Ltd.
Inventor： Qiong WU , Xiangjun PENG , Xin DUAN , Ce NING , Lizhong WANG , Yifan HOU , Shuo ZHANG , Huiling XUE , Hui GUO
Abstract: A liquid crystal display device, a method for displaying an image, and an electronic device are provided. In the first operation mode, a control circuit of the display device is configured to: receive display data of an mth image frame, and control the display device to display n sub-field images. The display data includes initial gray scales under n base colors. In a sub-field image of the mth image frame: pixels include a target pixel, and an actual gray scale of the target pixel is an average of an intermediate gray scale and initial gray scales of T non-target pixels. An actual gray scale of at least a part of non-target pixels is an initial gray scale thereof. The target pixel meets at least one of a first condition and a second condition.
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公开(公告)号：US20240370928A1
公开(公告)日：2024-11-07
申请号：US18291561
申请日：2021-09-29
Inventor： Boran JIANG , Qiong WU , Shuqi WEI , Chao JI , Chuqian ZHONG , Ge OU
Abstract: Disclosed are an asset value evaluation method and apparatus, a model training method and apparatus, and a readable storage medium. The asset value evaluation method includes: acquiring input asset value query information for a user; when it is determined that there is historical asset interaction information of the user, determining an asset set obtained by means of making a query using the asset value query information, the asset set includes at least one asset; performing embedding representation on each asset, so as to determine an asset embedding vector of each asset, the asset embedding vector is obtained by means of training based on the relationship between each asset and an attribute, and the attribute is used for representing an inherent parameter of the asset; and inputting the asset embedding vector of each asset into a graph convolutional network model to obtain the value of each asset for the user.
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