公开(公告)号：US20160088105A1

公开(公告)日：2016-03-24

申请号：US14948993

申请日：2015-11-23

Applicant: Huawei Technologies Co., Ltd.

Inventor： Wei Fan ,  Jianfeng Qian ,  Yadong Mu

IPC: H04L29/08 ,  H04L12/58

CPC classification number: H04L67/24 ,  G06Q50/01 ,  H04L51/32 ,  H04L67/22

Abstract: A method and an apparatus for identifying a state of a user of a social network. The identification method includes acquiring a user-event similarity of a user regarding a new event; identifying whether the user is a silent user or a non-activated user according to the user-event similarity; and determining whether the silent user or the non-activated user on the social network is finally in an activated state or a non-activated state. In the foregoing manner, a novel user state model of a social network is designed in the present disclosure, the model includes an activated state, a non-activated state and an unstable silent state, and a final state of a user is inferred precisely under full and comprehensive consideration of factors that may affect the state of the user, such that the state of the user can be accurately and precisely monitored.

Abstract translation: 一种用于识别社交网络的用户的状态的方法和装置。 识别方法包括获取用户关于新事件的用户事件相似性; 根据所述用户事件相似性来识别所述用户是静默用户还是非激活用户; 以及确定所述社交网络上的无声用户或未激活的用户是否处于激活状态或非激活状态。 以上述方式，在本公开中设计了社交网络的新型用户状态模型，该模型包括激活状态，非激活状态和不稳定静音状态，并且精确地推断用户的最终状态 充分和全面地考虑可能影响用户状态的因素，使得用户的状态可以被准确和精确地监视。

公开(公告)号：US20160071010A1

公开(公告)日：2016-03-10

申请号：US14944294

申请日：2015-11-18

Applicant: Huawei Technologies Co., Ltd.

Inventor： Guangjian Tian ,  Cheng He ,  Wei Fan

IPC: G06N3/08 ,  G06N3/06

CPC classification number: G06N3/08 ,  G06N3/06

Abstract: A deep neural network to which data category information is added is established locally, to-be-identified data is input to an input layer of the deep neural network generated based on the foregoing data category information, and information of a category to which the to-be-identified data belongs is acquired, where the information of the category is output by an output layer of the deep neural network. A deep neural network is established based on data category information, such that category information of to-be-identified data is conveniently and rapidly obtained using the deep neural network, thereby implementing a category identification function of the deep neural network, and facilitating discovery of an underlying law of the to-be-identified data according to the category information of the to-be-identified data.

Abstract translation: 本地建立了一种加入了数据类别信息的深层神经网络，将被识别的数据输入到基于上述数据类别信息生成的深层神经网络的输入层，以及类别信息 获取属性的被识别数据，其中类别的信息由深层神经网络的输出层输出。 基于数据类别信息建立深层神经网络，使用深层神经网络方便迅速地获得待识别数据的类别信息，从而实现深层神经网络的类别识别功能，促进发现 根据待识别数据的类别信息的待识别数据的基本定律。

公开(公告)号：US20130171998A1

公开(公告)日：2013-07-04

申请号：US13780976

申请日：2013-02-28

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Sheng Liu ,  Wenshuan Dang ,  Hong Cheng ,  Wei Fan

IPC: H04W84/04

CPC classification number: H04W84/045 ,  H04W16/28 ,  H04W16/32

Abstract: A method, a micro base station, and a communications system for creating a microcell are disclosed in the present application. The method includes: configuring, by a micro base station, beam width and beam directions of high-gain directional antennas according to location information about hotspot areas in at least two macrocells; and using, by the micro base station, at least two beams formed by the high-gain directional antennas to form microcell coverage over the hotspot areas in the at least two macrocells. In the embodiments of the present application, the location of the micro base station may be kept unchanged when locations of hotspot areas in a plurality of macrocells change, and by adjusting the beam width and beam directions of high-gain directional antennas, the micro base station can provide microcell coverage over the changed hotspot areas, thereby making the networking flexible and reducing the network maintenance cost.

Abstract translation: 在本申请中公开了一种用于创建微小区的方法，微基站和通信系统。 该方法包括：根据关于至少两个宏小区中的热点区域的位置信息，由微基站配置高增益定向天线的波束宽度和波束方向; 以及由所述微基站使用由所述高增益定向天线形成的至少两个波束，以在所述至少两个宏小区中的所述热点区域上形成微小区覆盖。 在本申请的实施例中，微基站的位置可以在多个宏小区中的热点区域的位置改变时保持不变，并且通过调整高增益定向天线的波束宽度和波束方向，微基站 站点可以在更改的热点区域上提供微小区覆盖，从而使网络灵活，降低网络维护成本。

公开(公告)号：US10706049B2

公开(公告)日：2020-07-07

申请号：US15339530

申请日：2016-10-31

Applicant: Huawei Technologies Co., Ltd.

Inventor： Jiefeng Cheng ,  Cheng He ,  Wei Fan

IPC: G06F16/24 ,  G06F16/2453 ,  G06F16/2455 ,  G06F16/901

Abstract: The present invention discloses a method and apparatus for querying a nondeterministic graph, which are used to implement quick query of a nondeterministic graph, reduce query complexity, and improve query efficiency. The method comprises receiving a query instruction, where the query instruction is used to query a nondeterministic graph for data that satisfies a query condition; determining two vertices in the nondeterministic graph according to the query instruction; determining all possible paths that use one vertex in the two vertices as a start point and the other vertex as an end point; calculate a probability of a first event or a second event corresponding to each of the paths; and obtaining, according to the probability of the first event or the probability of the second event, a query result corresponding to the query instruction.

公开(公告)号：US09755616B2

公开(公告)日：2017-09-05

申请号：US15391122

申请日：2016-12-27

Applicant: Huawei Technologies Co., Ltd.

Inventor： Yadong Mu ,  Wei Fan

IPC: G06F17/10 ,  H03H17/02

CPC classification number: H03H17/0248 ,  G06F17/30997

Abstract: A method for data filtering includes segmenting a to-be-detected vector to obtain k to-be-detected sub-vectors, respectively performing an inner product operation on the k to-be-detected sub-vectors and corresponding detection vectors among preset k detection vectors to obtain k first operation results, determining a first operation result whose value is the maximum among the k first operation results and obtaining an identifier of a detection vector corresponding to the first operation result, where a detection vector is in a one-to-one correspondence to an identifier, and mapping the to-be-detected vector to a preset data filter according to the obtained identifier of the detection vector corresponding to the first operation result whose value is the maximum, and determining, using the data filter, whether to filter out the to-be-detected vector.

公开(公告)号：US20170111030A1

公开(公告)日：2017-04-20

申请号：US15391122

申请日：2016-12-27

Applicant: Huawei Technologies Co., Ltd.

Inventor： Yadong Mu ,  Wei Fan

IPC: H03H17/02

CPC classification number: H03H17/0248 ,  G06F17/30997

Abstract: A method for data filtering includes segmenting a to-be-detected vector to obtain k to-be-detected sub-vectors, respectively performing an inner product operation on the k to-be-detected sub-vectors and corresponding detection vectors among preset k detection vectors to obtain k first operation results, determining a first operation result whose value is the maximum among the k first operation results and obtaining an identifier of a detection vector corresponding to the first operation result, where a detection vector is in a one-to-one correspondence to an identifier, and mapping the to-be-detected vector to a preset data filter according to the obtained identifier of the detection vector corresponding to the first operation result whose value is the maximum, and determining, using the data filter, whether to filter out the to-be-detected vector.

公开(公告)号：US20160357634A1

公开(公告)日：2016-12-08

申请号：US15173327

申请日：2016-06-03

Applicant: HUAWEI TECHNOLOGIES CO.,LTD.

Inventor： Daohui Wang ,  Feng Zhang ,  Wei Fan ,  Zhile Zhang ,  Yongqiang Zeng

IPC: G06F11/10 ,  G06F3/06

CPC classification number: G06F11/1076 ,  G06F3/0617 ,  G06F3/0619 ,  G06F3/0631 ,  G06F3/064 ,  G06F3/067 ,  G06F9/466 ,  G06F9/5011 ,  G06F11/00

Abstract: A data storage method is used to improve storage consistency of a distributed storage system. The method includes: a primary storage node performs EC coding on a to-be-stored data segment to obtain a target EC stripe; determines in a storage node group to which the primary storage node belongs, m+k target storage nodes used to store m+k target EC blocks of the target EC stripe; sends a preparation message to the target storage nodes; receives a response message sent by a target storage node; and sends an execution message to the target storage nodes to instruct the target storage nodes to write target EC blocks that are in preparation logs.

Abstract translation: 数据存储方法用于提高分布式存储系统的存储一致性。 该方法包括：主存储节点对待存储的数据段执行EC编码以获得目标EC条带; 在主存储节点所属的存储节点组中确定m + k个目标存储节点，用于存储目标EC条带的m + k个目标EC块; 向目标存储节点发送准备消息; 接收目标存储节点发送的响应消息; 并向目标存储节点发送执行消息以指示目标存储节点写入准备日志中的目标EC块。

公开(公告)号：US09768801B1

公开(公告)日：2017-09-19

申请号：US15597963

申请日：2017-05-17

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Zhenguo Li ,  Ge Luo ,  Ke Yi ,  Wei Fan ,  Cheng He

IPC: H03M7/30

CPC classification number: H03M7/30 ,  H03M7/3064

Abstract: A method for compressing flow data, including: constructing multiple line segments according to flow data and a predefined maximum error that are acquired; obtaining a target piecewise linear function according to the multiple line segments, where the target piecewise linear function includes multiple linear functions, and an intersection set of value ranges of independent variables of every two linear functions among the multiple linear functions includes a maximum of one value; and outputting a reference data point according to the target piecewise linear function, where the reference data point includes a point of continuity and a point of discontinuity of the target piecewise linear function. In this way, a maximum error, a target piecewise linear function is further determined according to the multiple line segments, and a point of continuity and a point of discontinuity of the target piecewise linear function are used to represent compressed flow data.

公开(公告)号：US10579703B2

公开(公告)日：2020-03-03

申请号：US15694559

申请日：2017-09-01

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Zhenguo Li ,  Jiefeng Cheng ,  Wei Fan

IPC: G06F17/12 ,  G06F16/951 ,  G06F7/00 ,  G06F17/16 ,  G06F17/10 ,  G06F16/903 ,  G06F7/02 ,  G06Q30/02

Abstract: A similarity measurement method includes: obtaining a directional relationship between nodes in a network, and determining a transition matrix; calculating a constraint matrix according to the transition matrix and an obtained attenuation factor; constructing a system of linear equations, where a coefficient matrix of the system of linear equations is the constraint matrix, and a variable of the system of linear equations is a correction vector; solving the system of linear equations by means of iteration by using a Jacobi method, and determining the correction vector; and calculating similarities between the nodes according to the transition matrix, the attenuation factor, and a diagonal correction matrix that is generated according to the correction vector. In the method, the correction vector is determined by using the Jacobi method, and further the similarities between the nodes may be calculated.

公开(公告)号：US10218381B2

公开(公告)日：2019-02-26

申请号：US15697066

申请日：2017-09-06

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Zhenguo Li ,  Ge Luo ,  Ke Yi ,  Wei Fan ,  Cheng He

IPC: H03M7/30

Abstract: A method for compressing flow data, including: generating multiple line segments according to flow data and a predefined maximum error that are acquired; obtaining a target piecewise linear function according to the multiple line segments, where the target piecewise linear function includes multiple linear functions, and an intersection set of value ranges of independent variables of every two linear functions among the multiple linear functions includes a maximum of one value; and outputting a reference data point according to the target piecewise linear function, where the reference data point includes a point of continuity and a point of discontinuity of the target piecewise linear function. In this way, a maximum error, a target piecewise linear function is further determined according to the multiple line segments, and a point of continuity and a point of discontinuity of the target piecewise linear function are used to represent compressed flow data.