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公开(公告)号:US11614560B2
公开(公告)日:2023-03-28
申请号:US16728442
申请日:2019-12-27
Applicant: International Business Machines Corporation
Inventor: Ernesto Arandia , Fearghal O'Donncha , Eli Michael Dow , Frank Liu , Campbell D Watson
Abstract: A method and system for outputting a state of a physical system using a calibrated model of the physical system, where the calibrated model is used to generate a model prediction. The system includes a plurality of sensors connected to a routing node are used to monitor measured data of the physical system. A first sensor of the plurality of sensors includes a logic module configured to determine an uncertainty quantification, and to combine the uncertainty quantification with the model prediction to output the state of the physical system.
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公开(公告)号:US20200233747A1
公开(公告)日:2020-07-23
申请号:US16253267
申请日:2019-01-22
Applicant: International Business Machines Corporation
Inventor: Fearghal O'donncha , Ernesto Arandia , Eli Michael Dow , Frank Liu , Campbell D Watson
Abstract: A simulation model recovery method, system, and computer program product include initiating a simulation model, during an operation of a model, periodically writing a solution space of the model to a checkpoint restart file, during an operation of the model, periodically writing diagnostic information on model progression to a log file, detecting a failure of the model, based on the log of the model, determining a time of the failure, based on the model outputs and restart files, determining a period of a numerical instability preceding the failure, selecting a checkpoint of the model preceding the period of the numerical instability, based on the numerical instability and diagnostic information in log files, modifying a configuration of the model, and restarting the model based on the selected checkpoint and the modified configuration.
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公开(公告)号:US11914043B2
公开(公告)日:2024-02-27
申请号:US17151514
申请日:2021-01-18
Applicant: International Business Machines Corporation
Inventor: Eli Michael Dow , Michael E Henderson , Campbell D Watson , Guillaume A. R. Auger
IPC: G01S17/89
CPC classification number: G01S17/89
Abstract: Method, apparatus, and computer program product are provided for generating synthetic bathymetry using one or more fractal techniques. In some embodiments, real terrain data generated from sensor-based measurement of terrain associated with but outside a water body are received. This data may include, for example, real terrain data generated from sensor-based measurement (e.g., LiDAR) of at least a portion of an area proximate the water body. One or more fractal dimensions is/are extracted from the real terrain data, and synthetic bathymetry of the water body is generated based on the one or more fractal dimensions using one or more fractal terrain generation techniques. In some embodiments, one or more simulated geological processes is/are applied to the synthetic bathymetry. For example, a simulated sedimentation process and/or a simulated erosion process may be applied to soften the synthetic bathymetry.
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公开(公告)号:US20230376651A1
公开(公告)日:2023-11-23
申请号:US17663917
申请日:2022-05-18
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor: Bianca Zadrozny , Campbell D Watson , Dario Augusto Borges Oliveira , Jorge Luis Guevara Diaz
Abstract: A method, computer system, and a computer program for generating weather simulations based on significant events is provided. The present invention may include receiving a plurality of environmental data associated with a geographic area. The present invention may then include retrieving one or more data feeds including a plurality of events. The present invention may further include associating the plurality of events with a subset of the plurality of environmental data. The present invention may further include generating a knowledge graph for the geographic area based on the association.
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公开(公告)号:US20230195949A1
公开(公告)日:2023-06-22
申请号:US17557666
申请日:2021-12-21
Applicant: International Business Machines Corporation
Inventor: Komminist Weldemariam , Björn Lütjens , Campbell D Watson , Alberto Costa Nogueira Junior , Simon Holgate , Catherine H. Crawford
Abstract: Initial and boundary conditions, and parameters associated with geophysical modeling can be received. Based on the received initial and boundary conditions and parameters, a multiscale model can be trained for data generation to produce first resolution simulation data and second resolution simulation data for a surrogate machine learning model training, where the second resolution simulation data has higher resolution than the first resolution simulation data. A surrogate model can be created using neural operators, where the surrogate model is trained using the first resolution simulation data and second resolution simulation data. An operational forecasting model can be generated using the surrogate model.
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公开(公告)号:US20220113448A1
公开(公告)日:2022-04-14
申请号:US17066517
申请日:2020-10-09
Applicant: International Business Machines Corporation
Inventor: Campbell D Watson , Mukul Tewari , Lloyd A Treinish , Eli Michael Dow
Abstract: Classifying land use by receiving geographic data and land use data for a geographic area, receiving surface temperature data for the geographic area, mapping the geographic data and temperature data to a set of map grid cells, determining temperature statistics for each map grid cell, training a machine learning model according to the land use data and temperature statistics, and classifying land use for map grid cells of a different geographic area according to the machine learning model.
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公开(公告)号:US20210001771A1
公开(公告)日:2021-01-07
申请号:US16458249
申请日:2019-07-01
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor: Eli Michael Dow , Campbell D Watson , Marco Aurelio Stelmar Netto
Abstract: A method, a computer program product, and a computer system notify passengers of an imminent brake event of a vehicle. The method includes determining that the imminent brake event is about to occur. The method includes determining a delay value to be applied to a brake system of the vehicle. The method includes determining a safety threshold associated with the imminent brake event based on at least one of conditions of the vehicle and surroundings of the vehicle. As a result of the delay value being less than the safety threshold, the method includes postponing use of the brake system for a duration corresponding to the delay value. The method includes broadcasting a notification to the passengers of the imminent brake event.
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公开(公告)号:US12242021B2
公开(公告)日:2025-03-04
申请号:US17559507
申请日:2021-12-22
Applicant: International Business Machines Corporation
Inventor: Dario Augusto Borges Oliveira , Bianca Zadrozny , Campbell D Watson , Jorge Luis Guevara Diaz
Abstract: A processor may receive weather event data. The processor may determine, utilizing an artificial intelligence model mapping weather events having weather impacts with a higher likelihood of occurrence proximate to each other in the latent space, a weather impact associated with a weather event. In some embodiments, the artificial intelligence model may be trained using historical weather event data and historical weather impact data associated with the historical weather event data. The processor may output the weather impact associated with the weather event to a user.
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公开(公告)号:US11880015B2
公开(公告)日:2024-01-23
申请号:US17341349
申请日:2021-06-07
Applicant: International Business Machines Corporation
Inventor: Campbell D Watson , Etienne Eben Vos , Komminist Weldemariam
CPC classification number: G01W1/10 , G01W1/06 , G01W1/14 , G06F18/2148 , G06F18/22 , G06N3/08 , G06V10/758
Abstract: Train a machine learning model, using an image-based knowledge graph of tropical cyclone data, for implementing a surface field modeling architecture that produces images of at least surface wind fields and surface rainfall fields from images of at least tropical cyclone tracks and pressure intensities. Generate model images of a modeled surface wind field and a modeled surface rainfall field by providing images of at least a user-generated tropical cyclone track and pressure intensity to the trained machine learning model.
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公开(公告)号:US20230408726A1
公开(公告)日:2023-12-21
申请号:US17807815
申请日:2022-06-20
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor: Dario Augusto Borges Oliveira , Bianca Zadrozny , Campbell D Watson , Jorge Luis Guevara Diaz
IPC: G01W1/10
CPC classification number: G01W1/10
Abstract: A method, computer system, and a computer program for weather prediction are provided. The method may include receiving a first weather event associated with a first location. The present invention may further include inputting the first weather event into a machine learning model generated via mapping historical weather data into a latent space and via identifying, in the latent space, climate teleconnections amongst historical weather events at various locations. The method may further include in response to the inputting, receiving by the computing device a weather prediction for a second location, the weather prediction being based on a predicted climate teleconnection between the first location and the second location with respect to the first weather event, wherein the teleconnections machine learning model maps the first weather event into latent code for the latent space in order to generate the weather prediction for the second location.
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