公开(公告)号：US11825299B2

公开(公告)日：2023-11-21

申请号：US17170707

申请日：2021-02-08

Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

Inventor： Ankur Kamthe ,  Jian Dong ,  Berend Dunsbergen

IPC: H04L29/06 ,  H04W12/00 ,  G06N20/00 ,  G16Y30/10 ,  H04L43/10 ,  H04L9/40 ,  H04L43/065 ,  H04L43/0811 ,  G16Y40/35

CPC classification number: H04W12/009 ,  G06N20/00 ,  G16Y30/10 ,  G16Y40/35 ,  H04L43/065 ,  H04L43/0811 ,  H04L43/10 ,  H04L63/123

Abstract: Systems and methods are provided for receiving, from an access point, attributes of an Internet of Things (IoT) device connected to the access point, determining a stored device, in a database of a server, sharing a subset of the attributes of the IoT device, and generating a code bundle based on the subset of the shared attributes between the stored device and the IoT device.

公开(公告)号：US11564162B2

公开(公告)日：2023-01-24

申请号：US17108773

申请日：2020-12-01

Applicant: Hewlett Packard Enterprise Development LP

Inventor： Berend Dunsbergen ,  Kannan Konath ,  Mohd Shahnawaz Siraj

IPC: H04W52/02 ,  G06F15/78 ,  G06F1/3206 ,  H04W4/80

Abstract: Example implementations relate to an access point (AP) that can via up from power save mode via a including Bluetooth low energy (BLE) system-on-chip (SoC) within the AP. The AP can include a power source, a power reset logic component in communication with the power source, a BLE SoC, a processor, and a non-transitory memory resource instructions executable by the processor that signals the AP is in a power save mode, receives an indication, via the BLE SoC, to wake up the AP, and wake up, via the BLE SoC, the AP in response to receiving the indication.

公开(公告)号：US20220417088A1

公开(公告)日：2022-12-29

申请号：US17362253

申请日：2021-06-29

Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

Inventor： Ankur Kamthe ,  Berend Dunsbergen ,  Kairo Cesar Pinto Tavares ,  Jian Dong ,  Bhushan Gopala Reddy

IPC: H04L12/24 ,  H04W24/02

Abstract: Examples described herein relate to configuration of access points including Internet-of-Things (IoT) radio. An access point identifier list is received from a network administration node in a network. Each access point identifier in the access point identifier list is uniquely associated with an access point, which includes an IoT radio. A first rules list is received from the network administration node. Each rule in the first rules list indicates a constraint and access point configuration values. An objective function is used to identify access point identifiers satisfying one or more of the constraints in the rules. The access points associated with the identified access point identifiers are configured with the access point configuration values as indicated in the rules.

公开(公告)号：US20210152677A1

公开(公告)日：2021-05-20

申请号：US16684525

申请日：2019-11-14

Applicant: Hewlett Packard Enterprise Development LP

Inventor： Berend Dunsbergen ,  Peter Charles Mytton Thornycroft ,  Jian Dong

IPC: H04L29/08 ,  H04L29/06

Abstract: Architectures and techniques for hybrid network communications. Data is received from a remote end device via a first wireless interface and according to a first communications protocol. Data is received from a remote client device via a second wireless interface and according to a second communications protocol. At least a portion of the data from the remote end device is translated to a data format according to a first network protocol. Transmitting the translated data to a network coordinator entity via a wired interface and according to the second communications protocol.

公开(公告)号：US20200151554A1

公开(公告)日：2020-05-14

申请号：US16184930

申请日：2018-11-08

Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

Inventor： Mohd Shahnawaz Siraj ,  Andre Beaudin ,  Qiang Zhou ,  Berend Dunsbergen

IPC: G06N3/08

Abstract: Various aspects of the subject technology relate to methods, systems, and machine-readable media for classifying interfering devices. The method includes collecting data samples from a set of known interfering devices, the data samples having characteristics of the set of known interfering devices. The method also includes compiling known feature vectors corresponding to the characteristics of the set of known interfering devices. The method also includes executing the known feature vectors on machine learning algorithms to train the machine learning algorithms to classify the set of known interfering devices. The method also includes generating a machine learning model based on performances of the machine learning algorithms, the machine learning model including at least one of the machine learning algorithms. The method also includes executing future feature vectors corresponding to a set of future interfering devices on the machine learning model to classify the set of future interfering devices.