公开(公告)号：US20200092699A1

公开(公告)日：2020-03-19

申请号：US16694324

申请日：2019-11-25

Applicant: Hewlett Packard Enterprise Development LP

Inventor： Yurong JIANG ,  Kyu Han KIM ,  Puneet JAIN ,  Xiaochen LIU

IPC: H04W4/80 ,  H04W4/02

Abstract: An example system comprising: a processing resource; and a memory resource storing machine readable instructions executable to cause the processing resource to: receive a Bluetooth Low Energy (BLE) signal transmitted from a user device; generate, from the BLE signal, a BLE moving pattern of the user device, wherein the BLE moving pattern is generated at a different entity than an entity that transmits the BLE signal; track an object carrying the user device via visual information of the object such that a visual moving pattern of the object is generated from the tracking; determine the visual moving pattern matches the BLE moving pattern; and assign, responsive to the determination, an identity obtained from the user device to the object being tracked via the visual information.

公开(公告)号：US20180316928A1

公开(公告)日：2018-11-01

申请号：US15582235

申请日：2017-04-28

Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

Inventor： Puneet JAIN ,  Kyu Han KIM

IPC: H04N19/46 ,  G06N99/00 ,  G06K9/62 ,  H04N19/172 ,  H04N19/436

CPC classification number: H04N19/46 ,  G06K9/6269 ,  G06N20/00 ,  H04L65/605 ,  H04L67/12 ,  H04L67/2819 ,  H04N19/172 ,  H04N19/436 ,  H04N21/845 ,  H04W4/70

Abstract: Examples provided herein describe a method for real-time processing of IoT data. For example, a first physical processor of an edge computing device may receive a set of data from a first IoT device communicably coupled to the edge device. The first physical processor may split the set of data into a set of individual data packets. A second physical processor of the edge device process the set of individual data packets by: concurrently applying, by a plurality of instances of the second physical processor of the edge computing device, a learning model to each of a corresponding plurality of data packets from the set of individual data packets; and annotating, by a subset of the plurality of instances of the second physical processor, a corresponding subset of the plurality of data packets with a corresponding output from the concurrent application of the learning model.

公开(公告)号：US20160265918A1

公开(公告)日：2016-09-15

申请号：US15032060

申请日：2013-10-30

Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

Inventor： Souvik Sen ,  Kyu Han KIM ,  Jindan ZHU ,  Prasant MOHAPATRA

IPC: G01C21/14 ,  G01S1/08

CPC classification number: G01C21/14 ,  G01C21/206 ,  G01S1/08 ,  G01S5/0252 ,  G01S5/0263 ,  H04W4/027 ,  H04W4/043 ,  H04W84/12

Abstract: According to an example, a signal space based navigation apparatus may receive traces of wireless signal observations and corresponding pedestrian deadreckoning (PDR) traces between different ones of the wireless signal observations from a plurality of user devices. A plurality of wireless clusters may be generated based on the traces of wireless signal observations. A PDR displacement vector may be generated between two or more of the wireless clusters based on the two or more of the wireless clusters and a subset of the PDR traces corresponding to the two or more of the wireless clusters. A sensing map may be generated based on the plurality of wireless clusters and a plurality of PDR displacement vectors including the PDR displacement vector.

Abstract translation: 根据示例，基于信号空间的导航设备可以从多个用户设备接收无线信号观测的踪迹和来自多个用户设备的不同的无线信号观测之间的对应的行人解码（PDR）迹线。 可以基于无线信号观测的踪迹来生成多个无线群集。 可以基于两个或更多个无线集群和对应于两个或更多无线集群的PDR轨迹的子集，在两个或更多个无线集群之间生成PDR位移矢量。 可以基于多个无线群集和包括PDR位移向量的多个PDR位移向量来生成感测地图。