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1.发明公开公开(公告)号：US20240362259A1
公开(公告)日：2024-10-31
申请号：US18291902
申请日：2021-09-18
发明人： Ge OU , Boran JIANG , Chao JI , Shuqi WEI , Hongxiang SHEN
IPC分类号： G06F16/335
CPC分类号： G06F16/335
摘要： Provided in the present disclosure are a text recommendation method and apparatus, a model training method and apparatus, and a readable storage medium. The text recommendation method includes: acquiring text retrieval information from a user; when it is determined that there is historical text retrieval information for the user, determining text information of each text in a text set retrieved by using the text retrieval information; performing embedded representation on the text information of each text based on a self-attention model, and determining a text embedding vector of each text; inputting the text embedding vector of each text into a trained graph convolutional network model, to obtain the probability of interaction between the user and each text in the text set; and screening out, from the text set, target text which meets a preset interaction probability, and recommending the target text to the user.
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公开(公告)号：US20240320858A1
公开(公告)日：2024-09-26
申请号：US18272360
申请日：2021-10-15
发明人： Chao JI , Hongxiang SHEN , Ge OU , Boran JIANG , Shuqi WEI
CPC分类号： G06T7/75 , G06T7/11 , G06T9/00 , G06T2207/20021 , G06T2207/20081
摘要： The present disclosure relates to a meter recognition method, which includes: determining embedded features of pixels in a target image of a meter, and encoding position information of the pixels to obtain encoded position features; inputting superimposed features obtained by superimposing the encoded position features and the embedded features into an encoder of a target model; wherein an input of the target model includes the labels, and an output of the target model includes coordinates of key points in a sample image of the meter. According to the present disclosure, the image of the meter can be processed by the trained target model, the coordinates of key points in the target image of the meter are outputted. It can reduce manual operations and improve efficiency, and on the other hand, it can avoid possible misoperations during manual operations, which is beneficial for improving accuracy.
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3.发明公开公开(公告)号：US20240083442A1
公开(公告)日：2024-03-14
申请号：US18274493
申请日：2021-10-21
发明人： Junjie ZHAO , Hongxiang SHEN
IPC分类号： B60W40/09 , B60W30/182 , B60W50/08 , B60W60/00 , H04L9/00
CPC分类号： B60W40/09 , B60W30/182 , B60W50/082 , B60W60/005 , H04L9/50 , B60W2540/043 , B60W2556/10 , H04L2209/84
摘要： A data storage method, an apparatus, an electronic device, and a computer-readable storage medium. The method includes: detecting a mode switching behavior performed by an operator of a vehicle, the mode switching behavior being used to trigger switching a driving mode of the vehicle between a manual driving mode and an automatic driving mode; acquiring first data corresponding to the mode switching behavior, the first data including a vehicle identification of the vehicle, switching trigger information corresponding to the mode switching behavior and time information corresponding to the mode switching behavior; storing the first data to a blockchain network.
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4.发明公开公开(公告)号：US20240054489A1
公开(公告)日：2024-02-15
申请号：US18278380
申请日：2021-10-27
发明人： Junjie ZHAO , Hongxiang SHEN
CPC分类号： G06Q20/401 , G08G1/04 , G06Q20/389
摘要： The present disclosure relates to traffic information processing methods, including: receiving transaction information sent by a first vehicle, the transaction information carrying violation information of the target vehicle detected by the first vehicle; the smart contract being used to determine second vehicles to verify the transaction information, and sending the violation information to the second vehicles such that the second vehicles generate verification results based on the violation information; determining whether the target vehicle has violated traffic rules based on the verification results; if determining that the target vehicle has violated traffic rules, storing the violation information in the blockchain network.
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5.发明公开公开(公告)号：US20240356767A1
公开(公告)日：2024-10-24
申请号：US18035488
申请日：2022-04-29
发明人： Lirong XU , Hongxiang SHEN , Xiao CHU , Xiying ZHANG , Mingyuan MA
CPC分类号： H04L9/50 , H04L9/3218 , H04L9/3247
摘要： A data storage method, a data storage apparatus, an electronic device, and a non-transitory computer-readable storage medium. The method is applied to a node device deployed with a blockchain node, wherein the blockchain node belongs to a user blockchain network and an object blockchain network, the user blockchain network is used to store evaluation data generated by evaluation behavior of a target user on at least one object, and the object blockchain network is used to store evaluation data generated by at least one user performing evaluation behavior on the target object, the method includes: obtaining target evaluation data on a target object, the target evaluation data being generated by the target user performing target evaluation behavior on the target object; storing the target evaluation data separately to the user blockchain network and the object blockchain network through the blockchain node.
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公开(公告)号：US20240303798A1
公开(公告)日：2024-09-12
申请号：US18263230
申请日：2021-11-30
发明人： Chao JI , Yaoping WANG , Hongxiang SHEN , Ge OU , Boran JIANG , Shuqi WEI , Chuqian ZHONG , Pengfei ZHANG
IPC分类号： G06T7/00
CPC分类号： G06T7/0004 , G06T2207/20021 , G06T2207/20081 , G06T2207/20084 , G06T2207/30121
摘要： The present disclosure relates to an image recognition method and system for a display panel, a training method, and an electronic device and a non-volatile computer-readable storage medium. The image recognition method includes: acquiring an image of a display panel, wherein the image includes gate lines extending in a first direction and data lines extending in a second direction, the gate lines and the data lines intersecting to define a plurality of sub-pixel regions, and the image further includes a defect pattern; and recognizing the defect pattern in the image by using an image recognition model to obtain defect information, wherein the defect information includes at least one of a defect type or a defect position of the defect pattern, the image recognition model comprises a first attention model configured to learn a weight proportion of a feature of the defect pattern in the image.
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公开(公告)号：US20230419466A1
公开(公告)日：2023-12-28
申请号：US18038197
申请日：2020-11-26
发明人： Quanguo ZHOU , Kaiqin XU , Jiahong ZOU , Guolin ZHANG , Xun HUANG , Qing ZHANG , Lijia ZHOU , Zhidong WANG , Hongxiang SHEN , Hao TANG , Jiuyang CHENG
CPC分类号： G06T7/0002 , G06T3/40 , G06T2207/20084 , G06T2207/30168
摘要： Provided are a method and apparatus for identifying the defect grade of a bad picture, and a storage medium. The method includes: determining the defect size of a defect from a bad picture; according to a product model corresponding to the bad picture, determining the design size of a pattern corresponding to a component that is adjacent to the position of the defect; determining the defect grade of the defect according to the defect type of the defect and a magnitude relationship between the defect size and the design size, wherein the defect grade is the degree to which the defect affects product yield.
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公开(公告)号：US20220269901A1
公开(公告)日：2022-08-25
申请号：US17507918
申请日：2021-10-22
发明人： Guolin ZHANG , Kaiqin XU , Jiahong ZOU , Quanguo ZHOU , Xun HUANG , Hongxiang SHEN , Jiuyang CHENG
摘要： An image processing method includes: receiving a processing instruction for an image; screening out a plurality of target images from a plurality of acquired images; determining a first feature value and a second feature value of the target area of each of the target images; determining a similarity between the first feature values of the target areas in every two target images according to all the determined first feature values, and determining a similarity between the second feature values of the target areas in every two target images according to all the determined second feature values; and, if a first target similarity is within a first preset range, and a second target similarity is within a second preset range, determining that a first image and a second image belong to the same image set.
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公开(公告)号：US20220245782A1
公开(公告)日：2022-08-04
申请号：US17476321
申请日：2021-09-15
发明人： Quanguo ZHOU , Kaiqin XU , Jiahong ZOU , Guolin ZHANG , Xun HUANG , Qing ZHANG , Zhidong WANG , Lijia ZHOU , Hongxiang SHEN , Jiuyang CHENG , Hao TANG
摘要： A method for classifying an image of a displaying base plate includes: acquiring an image to be checked; from a first predetermined-type set, determining a type of the image to be checked. The first predetermined-type set includes: a first image type, a second image type and a third image type. An image of the first image type is a no-defect image, an image of the second image type is a blurred image, and an image of the third image type is a defect image. When the type of the image to be checked is the third image type, by using a first convolutional neural network, determining a defect data of the image to be checked, wherein the defect image refers to an image of a displaying base plate having a defect, and the defect data contains a defect type of the displaying base plate in the image to be checked.
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10.发明申请公开(公告)号：US20220300262A1
公开(公告)日：2022-09-22
申请号：US17575983
申请日：2022-01-14
发明人： Zhenyan ZHAO , Hongxiang SHEN
IPC分类号： G06F8/41
摘要： Embodiments of the present application provide a method for constructing, running and implementing a cross-platform application, a terminal, a server, a system, and a non-transitory computer-readable storage medium. The method includes: obtaining a project template of the cross-platform application and information about a microprogram component corresponding to the project template of the cross-platform application, in response to an operation of selecting the project template of the cross-platform application by a user on a first platform, where the project template of the cross-platform application comprises a Flutter component based on a domain-specific language, and the Flutter component is configured to parse the microprogram component and load an interface of the microprogram component; and constructing an application on the first platform and generating an application package, based on the project template of the cross-platform application and the information about the microprogram component.
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