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公开(公告)号:US20200167258A1
公开(公告)日:2020-05-28
申请号:US16775069
申请日:2020-01-28
Applicant: Intel Corporation
Inventor: Rita CHATTOPADHYAY , Uri ELZUR
Abstract: Examples described herein provide for a memory and at least one processor coupled to the memory. The at least one processor indicates a prediction of a performance goal failure based on performance monitoring of the at least one processor. The performance goal can be based on a service level agreement (SLA). The performance monitoring can be related to core activity or inactivity. A trained machine learning (ML) model can be used to infer performance goal failure based on performance monitoring of the at least one processor. The ML model can be trained using a simulation of traffic to use a compact set of performance monitoring indicators. Mitigation efforts can take place to avoid violation of the SLA.
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公开(公告)号:US20240111295A1
公开(公告)日:2024-04-04
申请号:US17954372
申请日:2022-09-28
Applicant: Intel Corporation
Inventor: Mohammad HAGHIGHIPANAH , Rita CHATTOPADHYAY
CPC classification number: G05D1/0236 , G01S17/86 , G01S17/89 , G05D1/0246 , G06T7/20
Abstract: A method for motion tracking is provided including receive first data, receive second data, transform the second data to generate transformed second data corresponding to the first frame; determine a first weighting factor for the first data and a second weighting factor for the transformed second data; weight the first data using the first weighting factor to generate first weighted data; weight the transformed second data using the second weighting factor to generate second weighted data; and combine the weighted first data and the weighted second data to generate combined image data. The first data include a first frame of a first scene of an environment detected by a camera or image sensor. The second data include a second frame of a second scene of an environment detected by a light detection and ranging (LIDAR) sensor. At least a subset of the second scene corresponds to the first scene.
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公开(公告)号:US20220283556A1
公开(公告)日:2022-09-08
申请号:US17505458
申请日:2021-10-19
Applicant: Intel Corporation
IPC: G05B19/042 , F24F11/63 , G06F11/30 , G06F17/14
Abstract: Apparatus and method to facilitate automatic detection of a device state are disclosed herein. Selectively constraining a sensor based data set associated with one or more states of a device, wherein selectively constraining the sensor based data set includes analyzing a distribution of the sensor based data set to determine whether to constrain the sensor based data set, the sensor based data set including a first class and a second class of data values. Determining a threshold associated with the sensor based data set by selecting the threshold based on a variance between the first and second classes of the sensor based data set, wherein selecting the threshold includes using a constrained sensor based data set when the sensor based data set is determined to be constrained, and wherein the threshold indicates the data values associated with the first and second classes.
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公开(公告)号:US20200319611A1
公开(公告)日:2020-10-08
申请号:US16303614
申请日:2016-06-30
Applicant: INTEL CORPORATION
IPC: G05B19/042 , G06F11/30 , G06F17/14 , F24F11/63
Abstract: Apparatus and method to facilitate automatic detection of a device state are disclosed herein. Selectively constraining a sensor based data set associated with one or more states of a device, wherein selectively constraining the sensor based data set includes analyzing a distribution of the sensor based data set to determine whether to constrain the sensor based data set, the sensor based data set including a first class and a second class of data values. Determining a threshold associated with the sensor based data set by selecting the threshold based on a variance between the first and second classes of the sensor based data set, wherein selecting the threshold includes using a constrained sensor based data set when the sensor based data set is determined to be constrained, and wherein the threshold indicates the data values associated with the first and second classes.
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公开(公告)号:US20180096205A1
公开(公告)日:2018-04-05
申请号:US15283146
申请日:2016-09-30
Applicant: Intel Corporation
Inventor: Anne M. RUSSELL , Nikhil JOG , Rita CHATTOPADHYAY
IPC: G06K9/00
CPC classification number: G06K9/00624 , G06K2209/01 , G06K2209/03
Abstract: Methods, systems, and storage media for robust monitoring a gauge are disclosed herein. In an embodiment, a digital image of a gauge may be received to identify an analog value indicator of the gauge and to form an indicator representation corresponding to the analog value indicator. Robust optical character recognition and image filter may provide enhanced gauge reading and/or monitoring. Other embodiments may be disclosed and/or claimed.
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公开(公告)号:US20220201441A1
公开(公告)日:2022-06-23
申请号:US17366099
申请日:2021-07-02
Applicant: Intel Corporation
Inventor: Ruchika Chawla SINGH , Rita CHATTOPADHYAY , Siew Wen CHIN , Sangeeta MANEPALLI
Abstract: A robot including a resource sharing circuit, configured to operate according to a resource utilization limit, and comprising a processor, configured to receive resource data representing a resource utilization of the robot; if the resource utilization of the robot is within a predetermined range, operate according to a first operational mode, wherein an upper limit of the predetermined range is defined by a tolerance relative to the resource utilization limit; if the resource utilization of the robot is outside of the predetermined range, operate according to a second operational mode; wherein the first operational mode includes controlling a communication circuit to send a first wireless signal representing an availability to accept a task; and wherein the second operational mode includes controlling the communication circuit to send a second wireless signal representing an availability to allocate a task to an external device for remote processing.
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公开(公告)号:US20240211728A1
公开(公告)日:2024-06-27
申请号:US18233803
申请日:2023-08-14
Applicant: Intel Corporation
Inventor: Rita CHATTOPADHYAY , Stanley MO , Matias ALMADA , Steven KREBS
IPC: G06N3/045
CPC classification number: G06N3/045
Abstract: A computer-implemented system, platform, device, and method of audio processing comprises receiving, by processor circuitry, a mixed audio signal having a plurality of audio sources, and separating the mixed audio signal into at least one separate target audio source signal; and determining whether or not the at least one separate target audio source signal is associated with at least one target audio source. This also comprises inputting at least one of the separate target audio source signals into a classifying neural network.
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公开(公告)号:US20210109881A1
公开(公告)日:2021-04-15
申请号:US17128242
申请日:2020-12-21
Applicant: Intel Corporation
Inventor: Hassnaa MOUSTAFA , Rony FERZLI , Rita CHATTOPADHYAY
Abstract: A device for a vehicle may include a first wireline interface configured to receive a first data stream from a first sensor having a first sensor type for perceiving a surrounding of the vehicle, the first data stream including raw sensor data detected by the first sensor; a second wireline interface configured to receive a second data stream from a second sensor having a second sensor type for perceiving the surrounding of the vehicle, the second data stream including raw sensor data detected by the second sensor; one or more processors configured to generate a coded packet including the received first data stream and the received second data stream by employing vector packet coding on the first data stream and the second data stream; and an output wireline interface configured to transmit the generated coded packet to one or more target units of the vehicle.
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9.
公开(公告)号:US20190033824A1
公开(公告)日:2019-01-31
申请号:US16071889
申请日:2016-02-11
Applicant: Intel Corporation
Inventor: Petek YONTAY , Rita CHATTOPADHYAY
IPC: G05B19/4065
Abstract: Apparatuses, methods and storage medium associated with monitoring or assisting in monitoring of an equipment process are disclosed herein. In embodiments, an apparatus may comprise an analyzer to: receive a plurality of simulation results of a plurality of control limit and alert zone combinations for potential use with a control chart to monitor the equipment process, and calculate a plurality of performance metrics for each of the plurality of control limit and alert zone combinations, using the plurality of simulation results. The apparatus may further select an optimal combination of control limits and alert zones, based at least in part on the plurality of performance metrics, and configure an equipment process monitor with the selected optimal combination of control limits and alert zones for use with a control chart to monitor the equipment process. Other embodiments may be described or claimed.
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