International Business Machines Corporation

Other

Nuance Communications, Inc.

Eli M Dow

Thomas D Fitzsimmons

Jessie Yu

Charles J Stocker, Iv

James Paul Gilchrist

Steven Kent Schmidt

Emily M Metruck

Tynan J Garrett

Douglas E Rohde

Joseph D Harvey

Campbell D Watson

Yunli Tang

Marie R Laser

Maurice M Materise

John S Werner

Diane Marie Stamboni

Kavita Sehgal

Nicholas George Danyluk

Sneha M Varghese

Gregg M Arquero

Sarah Wu

Syed F Hossain

Joshua Schaeffer

Sarah J Sheppard

Frank R LeFevre, Jr

Robert J Brenneman

Harry Roger Kolar

Brendan C Lewis

Christopher J Nycz

Michael E Henderson

William J Huie

Erin M Farr

Andrew Dow

Katrin Nagel

Nickalaus A Painter

Michael E Gildein

Moses J Vaughan

Khaalid P McMillan

Guillaume A R Auger

Dilma Menezes Da Silva

Jairo A Pava

Michael L Passow

Galina Gorelik

Frank Liu

Charulatha Dhuvur

Matthew M Klawonn

Salma Y Rodriguez

Brian Robert Prasky

Michael James Kelly

Fearghal O'Donncha

Khaalid P J McMillan

Mukul Tewari

Ray Mansell

Michael R Kelly

Ernesto Arandia

Kassidy B Martz

Caitlin E Cellier

James P Gilchrest

Guillaume Auger

Rachel E Kohler

Christopher T Woodlief

Gabriel J Perez Irizarry

Gary S Littlefield

Rick A Hamilton, Ii

Christopher J Dawson

Jenny S Li

Ying Liu

Levente Klein

Marco Aurelio Stelmar Netto

Emanuele Ragnoli

Michael E Browne

Bao Zhang

Jeffrey E Bisti

Lloyd Alan Treinish

Douglas Michael Zobre

Kartik Talamadupula

Kshitij P Fadnis

Tathagata Chakraborti

George B Markos

Mayank Agarwal

Ashwin Venkatraman

Kyle M Smith

Evren O Baran

Fearghal O'donncha

Jia Sen Wu

Samantha M Brand

Charles James Stocker

Scott W Loveland

Paul E Sonnenberg

Charulatha Dhuvar

Duane K Beyer

Jassie Yu

Jorge J Barroso Carmona

Borja Godoy

Marie Laser

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.

Fractional ice cover predictions with machine learning, satellite, thermodynamics, and in-situ observations

Refining an ecological niche model (ENM) associated with a geospatial location includes developing a fluid dynamics model based on measurements generated by a device deployed into fluid flows of the geospatial location. The measurements include temperature and velocity field, depth and particle transport measurements. The refining further includes refining and running the fluid dynamics model using measurements regenerated from the device being redeployed into the fluid flows to produce an output. This output is descriptive of fluid dynamics at the geospatial location and input into the ENM. The ENM is run to produce a baseline ENM output descriptive of a probability of a species existing at the geospatial location. In addition, the ENM is run with a limnologic modification to produce a predictive ENM output descriptive of a predictive probability of the species existing at the geospatial location that is comparable to the baseline ENM output.

Refining an ecological niche model

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.

Road icing condition prediction for shaded road segments

A method, computer program product and computer system to generate safety alerts is provided. A processor retrieves a plurality of measurements associated with a location. A processor determines a set of features based on the plurality of measurements. A processor identifies a set of membership functions for the set of features. A processor determines a safety index for the body of water based on the set of membership functions and one or more input value ranges for the set of features. In response to the safety index being above a threshold value, a processor sends an alert to one or more users regarding the location.

Alert system with machine learning and fuzzy logic

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.

Synthetic bathymetry generation using one or more fractal techniques

A computer system adapts processing of expressions by a command-line interface. An expression provided to the command-line interface is analyzed, wherein the command line interface includes pre-defined expression processing. One or more artificial intelligence agents are selected from a plurality of artificial intelligence agents based on the analysis of the expression. The expression is evaluated by the selected one or more artificial intelligence agents to determine processing modifications for the pre-defined expression processing. The expression is processed in accordance with the determined processing modifications and results are provided to the command-line interface. Embodiments of the present invention further include a method and program product for adapting processing of expressions by a shell in substantially the same manner described above.

Flexible artificial intelligence agent infrastructure for adapting processing of a shell

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.

Integration of physical sensors in a data assimilation framework

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.

Classifying land use using satellite temperature data

Migration of virtual machines within a computing environment is facilitated. A processor obtains a current virtual machine to host mapping in the computing environment, as well as a plurality of future virtual machine to host mappings. A current migration plan to migrate from a current state of the computing environment to another state of the computing environment is also obtained. Based on the current virtual machine to host mapping and one or more future virtual machine to host mappings of the plurality of future virtual machine to host mappings a determination is made that one or more potential alert conditions exist in the current migration plan. The current migration plan and/or one or more future virtual machine to host mappings are displayed. The current migration plan is adjusted to address at least one potential alert condition of the one or more potential alert conditions to improve processing within the computing environment.

Adjusting virtual machine migration plans based on alert conditions related to future migrations

Method, apparatus, and computer program product are provided for assessing road surface condition. In some embodiments, candidate locations each forecast to have a dangerous road surface condition are determined, an optimized flight path is determined comprising a sequence of sites corresponding to the candidate locations, dispatch is made to a first site within the sequence, and a road surface condition at the first site is assessed using an onboard sensor (e.g., spectroradiometer). In some embodiments, a check for new information is performed before dispatch is made to a second site. In some embodiments, the candidate locations are determined using both a model forecast and data-mined locations considered hazardous. In some embodiments, the optimized flight path is determined using TSP optimization constrained by available flight time and prioritized by frequency of historical incident and severity of forecast road surface condition.

Remote surface condition assessment

According to one embodiment, a method, computer system, and computer program product for tracking occupancy on a transit system is provided. The present invention may include receiving passenger information for passengers boarding a public transit system comprising one or more cars; counting the passengers within each of the cars of the public transit system based on the location of each of the passengers; identifying, based on the location of each of the passengers, whether each of the passengers is seated or standing; and displaying, based on the counting and identifying of the passengers, the current occupancy of each of the cars.

Smart train

A real-time performance management may be used for cycling. A first computing device retrieves profile data related to a cyclist. The first computing device receives sensor readings from one or more sensors. A first sensor of the one or more sensors detects cyclist tilt. Profile data and the sensor readings from the one or more sensors determine cyclist status. A notification based on the determined cyclist status communicates to a user.

Real-time sensor based balance gamification and feedback

Embodiments of the invention are directed to computer-implemented methods, computer systems, and computer program products for remote monitoring of devices. The method includes causing a launch of an unmanned aerial vehicle (UAV). The UAV is instructed to fly a path that is optimized to read optical signals from a set of one or more devices. Data is received from the UAV, the data corresponding to the optical signals read from the set of one or more devices.

Remote sensor monitoring using LED transmission

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.

Notifying passengers of imminent vehicle braking

Embodiments are directed to a computer-implemented method, computer system, and computer program product for analyzing image data to create a reference. The method includes receiving a first image data. The image data is saved in a database. The image data is analyzed to determine a source of the first image data. A reference is created based on the analyzing.

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Wappingers Falls, NY, United States of America

Eli M Dow