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.

Abstract: A data center management system may predict localized weather conditions for a location of a data center during a period of time. The data center management system may determine whether the localized weather conditions will degrade an operation of the data center during the period of time. The data center management system may obtain computational workload information identifying one or more computational workloads scheduled for execution at the data center during the period of time. The data center management system may determine, based on the computational workload information, one or more priorities associated with the one or more computational workloads. The data center management system may schedule the one or more computational workloads for execution based on the one or more priorities and based on determining whether the localized weather conditions will degrade the operation of the data center.

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.

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.

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.

Abstract: A computer implemented method of predicting ice coverage on a body of water includes generating a first ice cover prediction with a thermodynamics module and generating a second ice cover prediction with a machine learning module. The first ice cover prediction is combined with the second ice cover prediction to generate a combined ice cover prediction. Error statistics are computed based on a comparison of the combined ice cover prediction with an ice coverage observation and the combined ice cover prediction is updated based on the error statistics.

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.

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.

Abstract: Road condition prediction for potentially hazardous road segments is described. For roadways that may contain accumulated frozen precipitation, a road segment for road condition prediction is selected based on weather conditions. Various models including a solar radiation budget model, a permanent structures model, a dynamic structures model, and a road condition model are generated for the selected road segment and account for shading effects on the road segment caused by objects near the road segment. A road condition prediction for hazardous conditions on the road segment is determined based on the road condition model and provided to a driver to alert the driver of any potentially hazardous conditions.

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.

Abstract: A system and method to augment model-to-model coupling include obtaining an output signal fs from an upstream model. The method also includes obtaining an observation signal gob from a region of interest, extracting a high-frequency signal g from the observation signal gob using a linear operator, and providing to a downstream model the high-frequency signal g in addition to information based on the output signal fs from the upstream model. The downstream model is implemented to obtain a prediction or estimation of one or more parameters of interest or drive a mechanical process.

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.

Abstract: Provided is a method, computer program product, and system for determining a user is experiencing anxiety when called upon to perform a task. A processor may monitor health data measurements received from a wearable device worn by a first user. In response to a prompt to complete a task from a second user, the processor may detect that the first user is experiencing anxiety based on analysis of the received health data measurements. The processor may determine the first user is experiencing difficulty completing the task as a result of the anxiety. The processor may classify the anxiety as a first anxiety type chosen from a plurality of anxiety types. In response to classifying the anxiety as the first anxiety type, the processor may output a recommendation to the second user for reducing the anxiety of the first user in order to assist the first user in completing the task.

Abstract: Methods, systems and computer program products for estimating a height of a cloud depicted in an image are provided. Aspects include extracting metadata from the image, the metadata including a latitude, a longitude, and heading of a camera that captured the image and a time at which the image was captured. Aspects also include creating a three-dimensional model of a landscape depicted in the image and inserting a simulated cloud into the three-dimensional model. Aspects further include creating a simulated image of the three-dimensional model, including the simulated cloud and determining a similarity score of the cloud depicted in the image to the simulated cloud in the simulated image. Based on a determination that the similarity score exceeds a threshold value, aspects include providing a height of the simulated cloud in the three-dimensional model as the height of the cloud depicted in the image.

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.

Abstract: A system and method to augment model-to-model coupling include obtaining an output signal fs from an upstream model. The method also includes obtaining an observation signal gob from a region of interest, extracting a high-frequency signal g from the observation signal gob using a linear operator, and providing to a downstream model the high-frequency signal g in addition to information based on the output signal fs from the upstream model. The downstream model is implemented to obtain a prediction or estimation of one or more parameters of interest or drive a mechanical process.

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.

Abstract: Methods, systems and computer program products for estimating a height of a cloud depicted in an image are provided. Aspects include extracting metadata from the image, the metadata including a latitude, a longitude, and heading of a camera that captured the image and a time at which the image was captured. Aspects also include creating a three-dimensional model of a landscape depicted in the image and inserting a simulated cloud into the three-dimensional model. Aspects further include creating a simulated image of the three-dimensional model, including the simulated cloud and determining a similarity score of the cloud depicted in the image to the simulated cloud in the simulated image. Based on a determination that the similarity score exceeds a threshold value, aspects include providing a height of the simulated cloud in the three-dimensional model as the height of the cloud depicted in the image.