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公开(公告)号:US10145029B2
公开(公告)日:2018-12-04
申请号:US14559630
申请日:2014-12-03
Applicant: Huawei Technologies Co., Ltd. , Zhejiang University
Inventor: Xiaosong Zhou , Yan Xu , Chao Gao , Zhen Xu
IPC: D01F9/12 , D01D5/06 , D01F1/09 , D01F11/10 , C01B32/182 , C01B32/194
Abstract: A graphene fiber and a preparation method thereof, where the graphene fiber is a composite fiber of metal nanowire doped graphene fiber, and principal components of the composite fiber are graphene and metal nanowires, a mass ratio of metal nanowires is 0.1%-50%, the graphene is in a form of sheet, and both the metal nanowires and graphene sheets are arranged in parallel along an axial direction of the graphene fiber. The metal nanowire doped graphene fiber is a new type of a high performance multi-functional fiber material, which achieves a significant improvement in electrical conductivity of graphene fibers through doping of metal nanowires and meanwhile demonstrates excellent tensile strength and toughness. The metal nanowire doped graphene fiber has great potential application value in a plurality of fields, for example, it is used as a lightweight flexible wire.
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公开(公告)号:US20230075194A1
公开(公告)日:2023-03-09
申请号:US17895507
申请日:2022-08-25
Applicant: Huawei Technologies Co., Ltd.
Abstract: A magnetic power component includes a printed circuit board and a magnetic core assembled to the printed circuit board. The magnetic core includes a magnetic core body and a plurality of heat dissipation teeth. The magnetic core body is bonded to the printed circuit board. The plurality of heat dissipation teeth is protruded from an outer surface that is of the magnetic core body and that faces away from the printed circuit board. The plurality of heat dissipation teeth and the magnetic core body are bonded through direct contact.
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3.
公开(公告)号:US20170300497A1
公开(公告)日:2017-10-19
申请号:US15641137
申请日:2017-07-03
Applicant: Huawei Technologies Co., Ltd.
Inventor: Fangmin Pan , Hewei Liu , Chao Gao
CPC classification number: G06F16/24578 , G06F16/00 , G06F16/9535 , H04L41/50 , H04L67/10
Abstract: A cloud platform application-orientated service recommendation method includes obtaining service status information of a cloud platform, and obtaining a target service type, where the target service type is a service type required by a target application, and the target application is an application that runs on the cloud platform and requires service recommendation. The method further includes obtaining, according to the service status information, a service that matches the target service type, and using the service as a to-be-recommended service.
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公开(公告)号:US10942828B2
公开(公告)日:2021-03-09
申请号:US16270048
申请日:2019-02-07
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor: Huaqiong Wang , Chao Gao
Abstract: This application relates to distributed storage, and in particular, to a distributed shard storage technology. In a method for storing data shards in a distributed storage system, M data nodes on which to-be-stored data will be stored are determined, N replicas of the to-be-stored data are obtained, and each of the N replicas is sharded into X data shards in a same sharding mode. Then the to-be-stored data is stored on the M storage nodes, that is, N replicas of each of the X data shards are respectively stored on N storage nodes, and a quantity of data shards whose data shard replicas are stored on same N storage nodes is P or P+1, where P is an integer quotient of X divided by CMN.
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公开(公告)号:US20190171537A1
公开(公告)日:2019-06-06
申请号:US16270048
申请日:2019-02-07
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor: Huaqiong Wang , Chao Gao
Abstract: This application relates to distributed storage, and in particular, to a distributed shard storage technology. In a method for storing data shards in a distributed storage system, M data nodes on which to-be-stored data will be stored are determined, N replicas of the to-be-stored data are obtained, and each of the N replicas is sharded into X data shards in a same sharding mode. Then the to-be-stored data is stored on the M storage nodes, that is, N replicas of each of the X data shards are respectively stored on N storage nodes, and a quantity of data shards whose data shard replicas are stored on same N storage nodes is P or P+1, where P is an integer quotient of X divided by CMN.
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