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1.发明申请公开(公告)号：US20210209421A1
公开(公告)日：2021-07-08
申请号：US17211612
申请日：2021-03-24
Inventor： Huan LIU , Mingquan CHENG , Kunbin CHEN , Zhun LIU , Bolei HE , Wei HE
Abstract: Embodiments of the present disclosure disclose a method and apparatus for constructing a quality evaluation model, an electronic device and a computer-readable storage medium. A specific implementation mode of the method comprises: acquiring samples of knowledge contents; extracting statistical features, semantic features, and image features respectively from the samples of knowledge contents; and constructing a quality evaluation model for knowledge according to the statistical features, the semantic features, and the image features. On the basis of the prior art, this implementation mode additionally uses semantic features and image features of knowledge contents to construct a more accurate quality evaluation model based on multi-dimensional features that characterize the actual quality of a knowledge, which may well discover some brief but very useful summary knowledge in an enterprise and may recommend high-quality knowledge more accurately for employees in the enterprise.
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公开(公告)号：US20180081039A1
公开(公告)日：2018-03-22
申请号：US15410906
申请日：2017-01-20
Inventor： Wei HE , Kaiwen FENG , Chengliang DENG , Yibing LIANG , Bocong LIU , Zhuo CHEN , Yu MA
CPC classification number: G01S7/4861 , G01S7/4808 , G01S17/87 , G01S17/936
Abstract: The present application discloses a data acquiring method and apparatus applied to a driverless vehicle. A specific implementation of the method includes: selecting, from at least one laser radar of the driverless vehicle, a laser radar having a highest importance level as a first laser radar; acquiring a start time of a current time window and executing following data processing steps: executing a real-time acquisition and storage operation on point cloud data packets collected by the each of the at least one laser radar after the start time of the current time window; and determining whether any condition in a group of conditions is satisfied; and setting the start time of the current time window to be the current time and continuing to execute the data processing steps, in response to determining that any of the group of conditions is satisfied. This implementation implements the alignment and storage of point cloud data packets collected by at least one laser radar of the driverless vehicle.
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公开(公告)号：US20220083949A1
公开(公告)日：2022-03-17
申请号：US17194129
申请日：2021-03-05
Inventor： Haiwei WANG , Haifeng WANG , Wei HE , Ying LI , Jie WANG , Yong ZHU
Abstract: A method and apparatus for pushing information, a device and a storage medium are provided. An implementation of the method may include: acquiring a user identifier of a target user; in response to determining that the user identifier satisfies a preset condition, acquiring a work intention of the target user; determining target information according to the user identifier, the work intention and a pre-established knowledge graph; and pushing the target information to the target user.
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公开(公告)号：US20180077069A1
公开(公告)日：2018-03-15
申请号：US15410629
申请日：2017-01-19
Inventor： Chengliang DENG , Wei HE , Kaiwen FENG , Yu MA , Bocong LIU , Zhuo CHEN
IPC: H04L12/851 , H04L12/833 , H04L12/24
Abstract: The present application discloses a data flow processing method and apparatus for a data flow system. A specific implementation of the method includes: acquiring a to-be-processed data flow, and determining, according to a data flow processing instruction, at least one data flow processing node corresponding to the to-be-processed data flow and a passing order in which the to-be-processed data flow passes through the at least one data flow processing node; and connecting together the at least one data flow processing node according to the passing order to obtain a data flow processing channel, and importing the to-be-processed data flow to the data flow processing channel for data processing. This implementation improves the utilization of data flow processing nodes and the data flow processing efficiency.
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公开(公告)号：US20180076825A1
公开(公告)日：2018-03-15
申请号：US15410642
申请日：2017-01-19
Inventor： Wei HE , Liming XIA , Yu MA , Kaiwen FENG , Yibing LIANG , Zhuo CHEN
IPC: H03M7/30
Abstract: The present application discloses a data transmission method and apparatus. A specific implementation of the method includes: receiving to-be-transmitted data sent from an information sending end, and determining a sending coding type of the to-be-transmitted data; determining a receiving coding type of an information receiving end receiving the to-be-transmitted data; converting the to-be-transmitted data from the sending coding type to the receiving coding type using a preset transcoding model, to obtain transcoded transmission data, the transcoding model representing a corresponding relationship between the sending coding type and the receiving coding type; and sending the transcoded transmission data to the information receiving end. This implementation improves the data transmission efficiency.
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Patent Agency Ranking
公开(公告)号：US20210216819A1
公开(公告)日：2021-07-15
申请号：US17149267
申请日：2021-01-14
Inventor： Wei HE , Shuangjie LI , Yabing SHI , Ye JIANG , Yang ZHANG , Yong ZHU
IPC: G06K9/62 , G06F40/205 , G06N20/00
Abstract: A method and an apparatus for extracting SPO triples, an electronic device, and a storage medium are related to the field of artificial intelligence technologies. The solution may include: inputting annotated training data into each of multiple extraction models; predicting SPO triples satisfying defined relations in the annotated training data through each of multiple extraction models; combining the predicted SPO triples corresponding to each of multiple extraction models; extracting SPO triples satisfying screening conditions from the combined SPO triples; mining SPO triples with missing annotations from the annotated training data based on the SPO triples satisfying screening conditions, in response to that the SPO triples satisfying screening conditions do not satisfy output conditions; supplementing the SPO triples with missing annotations into the annotated training data; repeating the inputting, predicting, combining, extracting, mining and supplementing until the SPO triples satisfying screening conditions satisfy the output conditions.
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公开(公告)号：US20180349355A1
公开(公告)日：2018-12-06
申请号：US15942297
申请日：2018-03-30
Inventor： Yingchao SHI , Jianqing CUI , Wei HE
Abstract: The present disclosure discloses an artificial intelligence based method and apparatus for constructing a comment graph. A specific embodiment of the method comprises: determining a comment text based on comment data on a network page; identifying a comment subject and a comment opinion in the comment text, based on a characteristic in the comment text; generating a subject opinion pair including the comment subject, the comment opinion and an emotional tendency based on the comment subject and the comment opinion; generating a comment label associated with the subject opinion pair based on news information; and generating a comment graph, based on the comment label and the subject opinion pair. This embodiment improves the pertinence and the accuracy of the comment and the control to the comment emotion, when providing comments externally.
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8.发明申请公开(公告)号：US20180321995A1
公开(公告)日：2018-11-08
申请号：US16039151
申请日：2018-07-18
Inventor： Yu MA , Weide ZHANG , Wei HE , Haifeng WANG , Yibing LIANG, , Zhuo CHEN
CPC classification number: G06F9/546 , G06F11/3024 , G06F11/3055 , G06F2209/508 , Y10S901/50
Abstract: This disclosure discloses a method and apparatus for monitoring a message transmission frequency in a robot operating system. A specific implementation of the method includes: writing to-be-transmitted messages, into a pre-allocated memory; obtaining time points when the to-be-transmitted messages are written into the memory, and recording the time points in a preset time point list; determining a message transmission frequency within a preset time interval based on the time points in the time point list; and comparing the message transmission frequency with a preset message transmission frequency threshold, and generating monitoring information based on a comparing result. This implementation monitors the message transmission frequency of a process to thereby avoid information codes related to monitoring of each application from being added to the application so as to reduce the program debuging cost, and improve the monitoring efficiency.
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9.发明申请公开(公告)号：US20180321994A1
公开(公告)日：2018-11-08
申请号：US16039144
申请日：2018-07-18
Inventor： Yu MA , Weide ZHANG , Wei HE , Haifeng WANG , Yibing LIANG , Zhuo CHEN
CPC classification number: G06F9/546 , G06F11/3024 , G06F11/3055 , G06F2209/508 , Y10S901/50
Abstract: This disclosure discloses a method and apparatus for monitoring a message transmission frequency in a robot operating system. A specific implementation of the method includes: writing to-be-transmitted messages, into a pre-allocated memory; obtaining time points when the to-be-transmitted messages are written into the memory, and recording the time points in a preset time point list; determining a message transmission frequency within a preset time interval based on the time points in the time point list; and comparing the message transmission frequency with a preset message transmission frequency threshold, and generating monitoring information based on a comparing result. This implementation monitors the message transmission frequency of a process to thereby avoid information codes related to monitoring of each application from being added to the application so as to reduce the program debuging cost, and improve the monitoring efficiency.
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公开(公告)号：US20180077034A1
公开(公告)日：2018-03-15
申请号：US15410614
申请日：2017-01-19
Inventor： Yibing LIANG , Bocong LIU , Zhuo CHEN , Wei HE , Chengliang DENG , Kaiwen FENG
IPC: H04L12/26 , H04L12/725 , H04L29/08 , H04J3/14 , H04J3/06
CPC classification number: H04L43/04 , H04J3/0661 , H04J3/14 , H04L43/106 , H04L45/3065 , H04L67/12 , H04L67/2842 , H04Q9/00 , H04W4/44
Abstract: The present application discloses a data acquisition method and apparatus for a driverless vehicle. A specific implementation of the method comprises: selecting a sensor having the highest importance level among at least one sensor of the driverless vehicle as a first sensor and at least one sensor other than the first sensor to forma second sensor set; acquiring a start time of a current time window, and executing the following data processing steps: executing real-time acquiring and storing operations on data packets collected by each sensor among the at least one sensor after the start time of the current time window; determining whether any condition in the following condition group is met; and in response to determining that any condition in the condition group is met, setting the start time of the current time window to the current time, and continuing executing the data processing steps. This implementation realizes synchronized storage of the data packets collected by the at least one sensor of the driverless vehicle.
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