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公开(公告)号：US20220191818A1
公开(公告)日：2022-06-16
申请号：US17688087
申请日：2022-03-07
Applicant: Huawei Technologies Co., Ltd.
Inventor： Fangzhou Zhu , Mingxuan Yuan , Jia Zeng , Weixiong Rao
Abstract: A method for obtaining an emission probability includes obtaining a plurality of measurement reports (MRs) of a terminal in a target region and an engineering parameter of at least one base station in the target region, obtaining, based on parameter information in each of the plurality of MRs and the engineering parameter of the at least one base station, a feature vector corresponding to each of the plurality of MRs, processing, using a regression model, location information in each of the plurality of MRs and the feature vector corresponding to each of the plurality of MRs, to obtain a single-point positioning model, calculating, based on the single-point positioning model, the location information in each of the plurality of MRs, and the feature vector corresponding to each of the plurality of MRs, an emission probability of the feature vector corresponding to each of the plurality of MRs.
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Patent Agency Ranking
公开(公告)号：US20200187149A1
公开(公告)日：2020-06-11
申请号：US16791795
申请日：2020-02-14
Applicant: Huawei Technologies Co., Ltd.
Inventor： Fangzhou Zhu , Mingxuan Yuan , Jia Zeng , Weixiong Rao
Abstract: A method for obtaining an emission probability includes obtaining a plurality of measurement reports (MRs) of a terminal in a target region and an engineering parameter of at least one base station in the target region, obtaining, based on parameter information in each of the plurality of MRs and the engineering parameter of the at least one base station, a feature vector corresponding to each of the plurality of MRs, processing, using a regression model, location information in each of the plurality of MRs and the feature vector corresponding to each of the plurality of MRs, to obtain a single-point positioning model, calculating, based on the single-point positioning model, the location information in each of the plurality of MRs, and the feature vector corresponding to each of the plurality of MRs, an emission probability of the feature vector corresponding to each of the plurality of MRs.
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公开(公告)号：US20190021068A1
公开(公告)日：2019-01-17
申请号：US16136827
申请日：2018-09-20
Applicant: Huawei Technologies Co., Ltd.
Inventor： Mingxuan Yuan , Jia Zeng , Xialiang Tong
CPC classification number: H04W64/003 , G01S5/0252 , G06N5/042 , G06N20/00 , H04W4/021 , H04W64/00
Abstract: A terminal positioning method and a network device, where the network device obtains radio signal sampling information of a first terminal at a current moment. The first terminal is any terminal in a target region, and the target region is a preset geographic region. The network device obtains position information of the first terminal at the current moment by prediction based on the radio signal sampling information of the first terminal at the current moment and a predictive model of the target region. The predictive model is obtained by extensive data training in the target region, has relatively strong error tolerance and error-correction capabilities, and can accurately reflect a relationship between radio signal sampling information and position information of a terminal. Terminal positioning accuracy is effectively improved.
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公开(公告)号：US20170109756A1
公开(公告)日：2017-04-20
申请号：US15392698
申请日：2016-12-28
Applicant: Huawei Technologies Co., Ltd.
Inventor： Jia Zeng , Mingxuan Yuan , Wenyuan Dai
CPC classification number: G06Q30/01 , G06N20/00 , G06Q50/01 , H04L12/04 , H04L67/22 , H04M15/58 , H04M15/60 , H04M2215/0188 , H04M2215/32 , H04W4/24
Abstract: A user unsubscription prediction method and apparatus includes obtaining service consumption feature data, position activity feature data, and social network feature data of a user within a first preset time period, where the position activity feature data refers to data related to communication between the user and each base station within the first preset time period, and the social network feature data refers to data related to communication between the user and another user in a social network within the first preset time period, and inputting the obtained service consumption feature data, position activity feature data, and social network feature data to a pretrained classifier for calculation and outputting a calculation result, where the calculation result is a user unsubscription prediction result.
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公开(公告)号：US20160110401A1
公开(公告)日：2016-04-21
申请号：US14980947
申请日：2015-12-28
Applicant: Huawei Technologies Co., Ltd.
Inventor： Mingxuan Yuan , Jia Zeng , Shiming Zhang
IPC: G06F17/30
CPC classification number: G06F16/23 , G06F16/248 , G06F16/9024 , G06F16/9038 , G06F16/904 , G06F16/9577 , G06F21/62
Abstract: A data management method and device are disclosed. The data management method includes acquiring data published by a first user on the Internet and a shared domain of the data; expressing the data published by the first user as user data in a uniform format; and transforming, using a visualization technology, the user data in the uniform format into a graph or an image having a relationship between time and space for display. In the foregoing manner, user data can be visually reflected, such that a user can comprehensively evaluate and manage data of the user, thereby effectively ensuring security of the user data.
Abstract translation: 公开了一种数据管理方法和装置。 数据管理方法包括：获取由互联网上的第一用户发布的数据和数据的共享域; 以统一格式将由第一用户发布的数据表示为用户数据; 并且使用可视化技术将统一格式的用户数据转换成具有用于显示的时间和空间之间的关系的图形或图像。 以上述方式，可以视觉地反映用户数据，使得用户可以综合地评估和管理用户的数据，从而有效地确保用户数据的安全性。
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公开(公告)号：US20150081612A1
公开(公告)日：2015-03-19
申请号：US14552052
申请日：2014-11-24
Applicant: Huawei Technologies Co., Ltd.
Inventor： Zhi Guo , Fuqiang Wu , Jia Zeng , Deepak Mansharamani , John Cortes , Lingyan Sun , Dan Tian
IPC: G06N5/02
CPC classification number: G06N5/027 , G06F2221/2101 , H04L43/028 , H04L69/12
Abstract: The present invention discloses a rule matching method including: receiving a packet; detecting feature information in content of the packet, and determining whether the detected feature information in the packet conforms to a classification characteristic of one rule group among a plurality of preset rule groups; if yes, determining a state machine corresponding to the one rule group as a first state machine; and determining whether the first state machine is stored in an on-chip memory, and if yes, using the first state machine to match the packet to obtain a matching result; and if no, when an off-chip memory stores the first state machine, loading the first state machine from the off-chip memory into the on-chip memory, and using the first state machine to match the packet to obtain a matching result. Embodiments of the present invention enable a product to achieve better performance.
Abstract translation: 本发明公开了一种规则匹配方法，包括：接收分组; 检测分组内容中的特征信息，并且确定分组中检测到的特征信息是否符合多个预设规则组中的一个规则组的分类特征; 如果是，则将与所述一个规则组对应的状态机确定为第一状态机; 以及确定所述第一状态机是否存储在片上存储器中，并且如果是，则使用所述第一状态机来匹配所述分组以获得匹配结果; 如果不是，当片外存储器存储第一状态机时，将来自片外存储器的第一状态机加载到片上存储器中，并且使用第一状态机来匹配分组以获得匹配结果。 本发明的实施例使得产品能够实现更好的性能。
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