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公开(公告)号:US11995208B2
公开(公告)日:2024-05-28
申请号:US17413253
申请日:2018-12-12
Applicant: Hewlett-Packard Development Company, L.P.
Inventor: Augusto Queiroz de Macedo
IPC: H04L9/00 , G06F18/214 , G06F21/62 , G06N20/00
CPC classification number: G06F21/6245 , G06F18/2148 , G06N20/00
Abstract: An example of a computer-readable medium to store machine-readable instructions. The instructions may cause a processor to update a machine learning model based on first confidential data set. The machine learning model may have been previously trained based on a training data set distinct from the confidential data set. The instructions may cause the processor to apply the machine learning model after the update to a second confidential data set.
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公开(公告)号:US20240281528A1
公开(公告)日:2024-08-22
申请号:US18571153
申请日:2021-07-23
Applicant: Hewlett-Packard Development Company, L.P.
Inventor: Augusto Queiroz de Macedo
IPC: G06F21/55
CPC classification number: G06F21/554
Abstract: In some examples, the disclosure describes a device, comprising: a processor resource, and a non-transitory memory resource storing machine-readable instructions stored thereon that, when executed, cause the processor resource to generate a machine learning dataset, train and deploy a classifier using the machine learning dataset to determine whether a machine learning training process is running on a first computing device and whether the machine learning training process is malicious or is not malicious, and send an alert to the first computing device based on results of the trained classifier deployment on the first computing device.
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公开(公告)号:US20230289272A1
公开(公告)日:2023-09-14
申请号:US17689736
申请日:2022-03-08
Applicant: HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.
Inventor: Augusto Queiroz de Macedo , Charles Ricardo Staub
CPC classification number: G06F11/3058 , G06F11/3438 , G06N3/02
Abstract: In an example in accordance with the present disclosure, a computing device is described. The computing device includes a database with a thermal dataset acquired during usage of a device. The computing device also includes a processor which trains a neural network to determine suitability of the device for a user of the device based on the thermal dataset. The neural network includes 1) an encoder trained to transform the thermal dataset to a first embedding vector, 2) a compression/decompression component trained to generate a second embedding vector that minimizes a difference from the thermal dataset based on the first embedding vector, and 3) a decoder trained to generate a second thermal dataset from the second embedding vector.
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公开(公告)号:US20230408585A1
公开(公告)日:2023-12-21
申请号:US18250967
申请日:2020-10-30
Applicant: Hewlett-Packard Development Company, L.P.
Inventor: John Landry , Augusto Queiroz de Macedo , Amit Kumar Singh , Frederick Lee
IPC: G01R31/371 , G01R31/382
CPC classification number: G01R31/371 , G01R31/382
Abstract: Examples are described herein for monitoring power source usage of a computing device, including a battery and another power source, over time. In various examples, time periods of this monitored time may be added to a time count based on their immediately previous or immediately subsequent time periods satisfying a condition. The time count may be used to track periods of time during which certain power source usage factors are present that may lead to or may indicate the presence of battery swelling. After a time period is added to the time count, the updated time count can be compared to a time count threshold, and a user of the computing device may be warned based on the comparison. The threshold and warning may be selected to warn a user of potential present or future swelling of the battery.
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公开(公告)号:US20220147839A1
公开(公告)日:2022-05-12
申请号:US17418548
申请日:2019-07-15
Applicant: Hewlett-Packard Development Company, L.P.
Inventor: Augusto Queiroz de Macedo , Roberto Argenta Coutinho
IPC: G06N5/02 , G06F16/28 , G06F16/901
Abstract: An example of a non-transitory computer-readable medium to store machine-readable instructions to be executed by a processor. The instructions may cause the processor to create a first knowledge graph to represent a computer system at a first time. The first knowledge graph may include a first set of entries to represent a first set of components of the computer system. The instructions may cause the processor to create a second knowledge graph to represent the computer system at a second time after the first time. The instructions may cause the processor to compare the second knowledge graph with the first knowledge graph and perform a corrective action based on the comparison.
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公开(公告)号:US20220065935A1
公开(公告)日:2022-03-03
申请号:US17418192
申请日:2019-05-08
Applicant: Hewlett-Packard Development Company, L.P.
Inventor: Augusto Queiroz de Macedo , Arthur Sena Lins Caldas , Giovani Barbosa , Paul Monthaler , Eanes Torres Pereira
IPC: G01R31/367 , G06F1/28 , G06N7/00
Abstract: In various examples, a plurality of data points indicative of a history of a battery may be obtained and analyzed based on a causal model to predict a future safety threat event of the battery. The causal model may include a plurality of nodes linked by edges. Each node may represent an event and each edge may represent an observed cause-effect relationship between an event represented by one node of the causal model and another event represented by another node of the causal model. One of the nodes of the causal model may represent the future safety threat event of the battery.
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公开(公告)号:US11520390B2
公开(公告)日:2022-12-06
申请号:US17262282
申请日:2018-11-07
Applicant: Hewlett-Packard Development Company, L.P.
Inventor: Augusto Queiroz de Macedo , Giovani Cavalcante Barbosa , Italo Renan De Macedo Lins , Rafael Oliveira Santos , Tatiana Saturno da Silva , Eanes Torres Pereira
IPC: G06F1/20
Abstract: An example of a computer-readable medium storing machine-readable instructions. The instructions may cause the processor to receive thermal data for a device and apply anomaly models to the thermal data to produce grades. Grades for a device may be combined into a system thermal grade and corrective actions identified to improve the system thermal grade.
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公开(公告)号:US20210263502A1
公开(公告)日:2021-08-26
申请号:US17262282
申请日:2018-11-07
Applicant: Hewlett-Packard Development Company, L.P.
Inventor: Augusto Queiroz de Macedo , Giovani Cavalcante Barbosa , Italo Renan De Macedo Lins , Rafael Oliveira Santos , Tatiana Saturno da Silva , Eanes Torres Pereira
IPC: G05B19/4155
Abstract: An example of a computer-readable medium storing machine-readable instructions. The instructions may cause the processor to receive thermal data for a device and apply anomaly models to the thermal data to produce grades. Grades for a device may be combined into a system thermal grade and corrective actions identified to improve the system thermal grade.
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公开(公告)号:US10915390B2
公开(公告)日:2021-02-09
申请号:US16077876
申请日:2017-02-03
Applicant: HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.
Inventor: Matheus Eichelberger , Roberto Coutinho , Augusto Queiroz de Macedo
Abstract: In some examples, a computing device can determine a data state from telemetry data received from a plurality of client devices, determine a state change using the data state determined from the telemetry data, determine, using the state change, a potential cause of a fault of a component of a client device of the plurality of client devices, where the potential cause of the fault is determined in response to receiving a support inquiry from the client device, and display a timeline of state changes, where the timeline includes the determined state change of the client device.
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公开(公告)号:US20200272960A1
公开(公告)日:2020-08-27
申请号:US16481800
申请日:2017-11-17
Applicant: HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.
Inventor: Alexandre Da Silva Quadra , Augusto Queiroz de Macedo
Abstract: A system may comprise a database to collect telemetry data corresponding to a particular component of a device. The system may further comprise a controller coupled to the database. The controller may receive telemetry data for the particular component from the database. The controller may further determine a plurality of metrics for the particular component based on the telemetry data, wherein the plurality of metrics is determined for a plurality of suppliers and select a particular supplier of the plurality of suppliers based on the determined plurality of metrics.
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