Device management during emergent conditions

    公开(公告)号:US12278869B2

    公开(公告)日:2025-04-15

    申请号:US18819195

    申请日:2024-08-29

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, to manage devices during emergent conditions are disclosed. In one aspect, a method includes the actions of receiving, by a first computing device, data indicating a function of a second computing device. The actions further include determining, by the first computing device, a context of the second computing device. Based on the context of the second computing device, the actions further include determining, by the first computing device, whether to activate the function of the second computing device. Based on determining whether to activate the function of the second computing device, the actions further include determining, by the first computing device, whether to output, to the second computing device, an instruction to activate the function.

    Server-side remediation for incoming sensor data

    公开(公告)号:US12093125B2

    公开(公告)日:2024-09-17

    申请号:US17944791

    申请日:2022-09-14

    CPC classification number: G06F11/0793 G06F11/0721

    Abstract: Incoming sensor data from a data collection device may be received at the data processing platform that includes the plurality of data processing microservices. A data processing microservice of the data processing platform may detect that the incoming sensor data from the data collection device caused an error. As a result, the incoming sensor data may be queued in a faulty data cache of the data processing platform. Subsequently, at least one of the data processing microservice or the incoming sensor data stored in the faulty data cache may be modified such that the incoming sensor data is processed by the data processing microservice without the error. Following the processing, the incoming sensor data may be deleted from the faulty data queue of the data processing platform.

    Remote triggering of events by personal devices

    公开(公告)号:US12028709B2

    公开(公告)日:2024-07-02

    申请号:US17306857

    申请日:2021-05-03

    Inventor: Thomas Guzik

    CPC classification number: H04W12/08 H04W12/03 H04W12/0471

    Abstract: A subscriber device may perform a key exchange with a network operation center (NOC) computing device to receive a secret key. A list of group identifiers of personal devices for which the subscriber device is to handle events may be received at the subscriber device. The subscriber device may receive an encrypted event packet from a personal device via a direct communication connection. The subscriber device may decrypt the encrypted event packet at the subscriber device using the secret key to generate a decrypted event packet and extract a group identifier from the decrypted event packet. In response to determining that the group identifier is included in the list of group identifiers received from the NOC computing device, an event handler of a plurality of handlers stored in the subscriber device that corresponds to an event included in the decrypted event packet may be identified to handle the event.

    Data source correlation techniques for machine learning and convolutional neural models

    公开(公告)号:US11977993B2

    公开(公告)日:2024-05-07

    申请号:US17107865

    申请日:2020-11-30

    CPC classification number: G06N7/01 G06N20/00

    Abstract: A data model computing device receives a first data model with a first set of attributes, a first margin of error, a first set of predictions, and an underlying data set. Subsequently, the data model computing device receives a second data model with a second set of attributes, as the test data for a machine learning module. Based on the first and second data model, the machine learning function generates a second set of predictions and a second margin of error. The data model computing device performs a statistical analysis on the first and second set of predictions and the first and second margin of error to determine if the second set of predictions converge with the first set of predictions and second margin of error is narrower than the first margin of error, to determine if the second data model improves the prediction results of the machine learning module.

    MAINTAINING DATA SECURITY IN A MULTI-TENANT MICROSERVICE ENVIRONMENT

    公开(公告)号:US20240045980A1

    公开(公告)日:2024-02-08

    申请号:US17881073

    申请日:2022-08-04

    CPC classification number: G06F21/6218 G06F16/2219

    Abstract: A microservices platform that includes a plurality of microservices for providing data processing functions for data of multiple tenants may be implemented. Each tenant of the multiple tenants may be provided with an assigned binary large object (blob) data store in a blob storage platform that is only accessible by a corresponding tenant using a corresponding tenant identifier. Furthermore, each tenant of the multiple tenants may be assigned a corresponding local database at each microservice of the plurality of microservices that is only accessible by the corresponding tenant using the corresponding tenant identifier.

    Parallel execution controller for partitioned segments of a data model

    公开(公告)号:US11720414B2

    公开(公告)日:2023-08-08

    申请号:US17107708

    申请日:2020-11-30

    Inventor: Thomas Guzik

    CPC classification number: G06F9/5083 G06F9/5077 H04L67/1008 H04L67/75

    Abstract: This disclosure describes techniques that enable a parallel execution controller to execute partitioned segments of a data model in parallel and on different network resources. The resultant processed data from each partitioned segment may be combined to form an aggregated set of results data. The parallel execution controller may identify model attributes of a data model and determine whether the data model is partitionable, based on the model attributes. If the data model is partitionable, the parallel execution controller may partition the data model, initiate a parallel execution of the individual partitioned segments on available network resources, and combine the corresponding results data into an aggregated set of results data.

    ADAPTIVE POWER AND COMMUNICATION ROUTING FOR BODY-WORN DEVICES

    公开(公告)号:US20220385325A1

    公开(公告)日:2022-12-01

    申请号:US17331563

    申请日:2021-05-26

    Abstract: A body-worn hub may detect that a first battery charge level of a first battery in a body-worn device connected to the body-worn hub via a wired connection is at or below a first battery charge level threshold. Accordingly, the body-worn hub may route power from the body-worn hub to the body-worn device via the wired connection to charge the first battery when a second battery charge level of a second battery in the body-worn hub is above a second battery charge level threshold. However, in response to the first battery of the body-worn device being charged to a third battery charge level that is above the first battery charge level threshold or the second battery charge level dropping to the second battery charge level threshold, the body-worn hub may stop routing power to the body-worn device via the wired connection.

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