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公开(公告)号：US20230081696A1
公开(公告)日：2023-03-16
申请号：US17657708
申请日：2022-04-01
Inventor： Zhifeng HUANG , Wansheng Zhang
IPC: H04L45/7453 , H04L12/66 , H04L12/46 , H04L61/256
Abstract: The present disclosure provides methods for shunting clustered gateways, which relate to the field of computer technologies, and in particular, relate to the technical field of data transmission. A specific implementation solution is: in response to receiving a first packet sent by a target internal network machine, a first hash value is acquired, wherein the first hash value is generated by a shunt of a public network gateway cluster, and the shunt is configured to perform a hash calculation on the first packet based on a pre-configured port dictionary; a target gateway machine is selected from the public network gateway cluster according to the first hash value; and the first packet is sent to the target gateway machine.
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公开(公告)号：US20230080904A1
公开(公告)日：2023-03-16
申请号：US18054608
申请日：2022-11-11
Inventor： Yaqian HAN , Shuohuan WANG , Yu SUN
Abstract: A method for generating a cross-lingual textual semantic model includes: acquiring a set of training data that includes pieces of monolingual non-parallel text and pieces of bilingual parallel text; determining a semantic vector of each piece of text in the set of training data by inputting each piece of text into an initial textual semantic model; determining a distance between semantic vectors of each two pieces of text in the set of training data based on the semantic vector of each piece of text in the set of training data; determining a gradient modification based on a parallel relationship between each two pieces of text in the set of training data and the distance between the semantic vectors of each two pieces of text in the set of training data; and acquiring a modified textual semantic model by modifying the initial textual semantic model based on the gradient modification.
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公开(公告)号：US20230074351A1
公开(公告)日：2023-03-09
申请号：US17984330
申请日：2022-11-10
Inventor： Dong HAN , Minghe QIAO
IPC: G06F9/50
Abstract: A method of configuring a cloud server resource, an electronic device and a storage medium, which specifically relate to a field of artificial intelligence technology, in particular to a field of cloud computing technology. A method of configuring a cloud server resource includes: obtaining an operation index of a server instance of an object; comparing the obtained operation index with a threshold; and determining whether a configuration of the cloud server resource is to be adjusted, based on a result of the comparing.
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公开(公告)号：US20230072116A1
公开(公告)日：2023-03-09
申请号：US18049782
申请日：2022-10-26
Inventor： Hao CHEN , Runmei ZHAO , Jizhou HUANG
IPC: G06F16/9537 , G06F16/9535 , G06Q30/02
Abstract: A method and an apparatus for recommending a travel mode, an electronic device; and a storage medium are provided. An implementation is: receiving a request from a user for querying a first point of interest; analyzing a travel type of the user based on the request; obtaining an alternative travel mode based on the travel type in combination with user information; calculating a travel cost corresponding to the alternative travel mode; and recommending at least one travel mode for the user according to the travel cost.
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公开(公告)号：US20230068025A1
公开(公告)日：2023-03-02
申请号：US17981965
申请日：2022-11-07
Inventor： Yan PENG , Xiang LONG , Honghui ZHENG , Zhuang JIA , Bin ZHANG , Xiaodi WANG , Ying XIN , Yi GU , Yunhao WANG , Chao LI , Yuan FENG , Shumin HAN
Abstract: A method for generating a road annotation, a device, and a storage medium are provided. The method may include: generating a road quantity and a road width in a tag picture; generating, for each road in the tag picture, a start point and an end point of the road; generating at least one point between the start point and the end point; drawing, for two adjacent points, a line segment from a previous point to a next point, where a width of the line segment is equal to the road width; and generating slanted box annotation information based on a coordinate of the previous point and a coordinate of the next point, where the slanted box annotation information includes an intersection point of diagonal lines, a width, a height and a slant angle of a slanted box.
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Patent Agency Ranking
公开(公告)号：US20230061130A1
公开(公告)日：2023-03-02
申请号：US18053456
申请日：2022-11-08
Inventor： Shuai Xia , Weiqi Huang , Peng Jiang , Ruijian Tang
IPC: G10L15/22 , G06F40/205 , G10L15/08
Abstract: A method for speech-based instruction scheduling includes: a microphone included in an electronic device receiving a first input speech from a user; the electronic device converting the first input speech into a first text message; the electronic device obtaining first instruction contents of the first text message by parsing the first text message based on preset configuration instructions, in which the first instruction contents are configured to represent a target instruction object and a target instruction action; and the electronic device sending the first instruction contents to a scheduling object, so that the scheduling object controls the target instruction object to execute the target instruction action based on the first instruction contents.
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公开(公告)号：US20230056784A1
公开(公告)日：2023-02-23
申请号：US17889091
申请日：2022-08-16
Inventor： Xiao ZHANG , Fangfang DONG , Guowei WAN
Abstract: The disclosure provides a method for detecting an obstacle, an electronic device, and a storage medium, relates to the field of artificial intelligence, and in particular, to the field of automatic driving. A specific implementation solution includes: acquiring point cloud data collected by a lidar sensor during detection of an obstacle; converting the point cloud data into an obstacle feature map, where the obstacle feature map includes a to-be-detected image feature, and the to-be-detected image feature includes an obstacle feature; performing feature extraction on the to-be-detected image feature in the obstacle feature map to obtain the obstacle feature, increasing a weight value in the obstacle feature map of the obstacle feature during the feature extraction, and monitoring the feature extraction based on monitoring data generated by point cloud distribution data corresponding to the point cloud data; and determining a target obstacle according to the obstacle feature.
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公开(公告)号：US20230054391A1
公开(公告)日：2023-02-23
申请号：US17980503
申请日：2022-11-03
Inventor： Kun WANG
IPC: G06N10/20
Abstract: A method is provided. The method includes: determining an order of a crosstalk noise of a quantum computer; determining a set of calibration circuits based on the order of the crosstalk noise; preparing a respective standard basis quantum state based on each calibration circuit in the set of calibration circuits, the quantum measurement device is repeatedly run for a predetermined number of times for each standard basis quantum state to measure the standard basis quantum state and to obtain a predetermined number of measurement results ; performing a statistic process on the obtained predetermined number of measurement results corresponding to each standard basis quantum state, to obtain a set of calibration data; determining a global generator based on a hardware topological structure of the quantum computer and the set of calibration data; and constructing a calibration matrix based on the global generator, so as to correct the measurement results of the quantum computer based on the calibration matrix.
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459.发明授权公开(公告)号：US11587332B2
公开(公告)日：2023-02-21
申请号：US17137457
申请日：2020-12-30
Inventor： Xun Zhou , Yuanfan Xie , Shirui Li
Abstract: The present application discloses a method, an apparatus, a system, and a storage medium for calibrating an exterior parameter of an on-board camera, relating to the field of autonomous driving technologies. A specific implementation scheme of the method in the application is: preprocessing two frames of images of a former frame and a latter frame collected by the on-board camera; performing feature point matching on the two preprocessed frames of images to obtain matched feature points; determining a moving posture of the on-board camera according to the matched feature points; determining a conversion relationship between a vehicle coordinate system and an on-board camera coordinate system according to the moving posture, and obtaining the external parameter of the on-board camera relative to a vehicle body.
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公开(公告)号：US20230052389A1
公开(公告)日：2023-02-16
申请号：US17976662
申请日：2022-10-28
Inventor： Desen ZHOU , Jian WANG , Hao SUN
Abstract: A human-object interaction detection method, a neural network and a training method therefor is provided. The human-object interaction detection method includes: extracting a plurality of first target features and one or more first motion features from an image feature of an image to be detected; fusing each first target feature and some of the first motion features to obtain enhanced first target features; fusing each first motion feature and some of the first target features to obtain enhanced first motion features; processing the enhanced first target features to obtain target information of a plurality of targets including human targets and object targets; processing the enhanced first motion features to obtain motion information of one or more motions, where each motion is associated with one human target and one object target; and matching the plurality of targets with the one or more motions to obtain a human-object interaction detection result.
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