International Business Machines Corporation

Utopus Insights, Inc.

Aleksandr Y Aravkin

Dimitri Kanevsky

Tara N Sainath

Younghun Kim

Sharathchandra UmapathiRao Pankanti

Chung-Ching Lin

Karthikeyan Natesan Ramamurthy

John Richard Smith

Lior Horesh

Anirban Basu

Tarun Kumar

Sasha P Caskey

Raya Horesh

Aanchal Goyal

Guy M Cohen

Peter Kenneth Malkin

Ossama S Emam

Omer Tripp

Marco Pistoia

Carlos Henrique Cardonha

Salvatore Angelo Guarnieri

James Jeffrey Wynne

Premal Y Shah

Raphael Viguier

A method, system, and computer program product for managing resources by obtaining a high spatial resolution estimate of behavior adoption are described. The method includes obtaining a low-resolution estimate with a fixed geographic scale, selecting a sample of customers based on the low-resolution estimate, implementing a statistical model to obtain relative probability of adoption of the behavior by each of the sample of customers, and generating a weighted random realization from the sample of customers, the weighted random realization being weighted based on the relative probability of adoption. The method includes iteratively implementing the selecting the sample of customers, the implementing the statistical model, and the generating the weighted random realization to obtain a set of the weighted random realizations, and obtaining the high spatial resolution estimate, providing greater resolution than the low-resolution estimate at a location of interest, based on the set of the weighted random realizations.

High spatial resolution prediction

A method and system of stitching a plurality of image views of a scene, including grouping matched points of interest in a plurality of groups, and determining a similarity transformation with smallest rotation angle for each grouping of the matched points. The method further includes generating virtual matching points on non-overlapping area of the plurality of image views and generating virtual matching points on overlapping area for each of the plurality of image views.

System and method for perspective preserving stitching and summarizing views

Techniques for generating a warning filter to filter the warnings output from a static program analysis tool are provided. In one example, a computer-implemented method comprises determining feature vector data for a set of warnings, wherein the set of warnings is generated in response to static analysis of a computer program, and wherein the feature vector data comprises a feature vector indicative of an attribute of a warning of the set of warnings. The computer-implemented method also comprises determining a warning filter that identifies a first subset of the set of warnings as representing true positives based on the feature vector data and classified warning data, and wherein the classified warning data represents a second subset of the set of warnings that have been classified to indicate whether respective members of the second subset are indicative of true positives.

Warning filter based on machine learning

A computer implemented method and computer system for automatically limiting the swing angle of a vehicle door to not hit nearby moving objects, including predicting that a moving object will move to be within a predetermined distance of the door and predicting the distance the moving object will be from the door, determining a swing angle extent of an opening of the door that will avoid hitting the moving object and actuating a door controller to limit the swing angle of the door. Historical data on the speed the door is opened can be used in determining the door swing angle. The current position and velocity of the moving object relative to the door of the vehicle is estimated based on signals received from sensors attached to the vehicle.

Automatic car door swing limiter

A method includes obtaining two-dimensional measurements of a given scene from sensors, the given scene comprising a plurality of scene points, distributing the given scene into bundles each associated with at least one sensor and at least one scene point, establishing constraints associated with the sensors and the plurality of scene points that are associated with two different bundles, estimating, individually for each of the bundles, a set of parameters for the at least one sensor and the at least one scene point associated with that bundle utilizing at least one of the two-dimensional measurements, generating a consensus parameter set for the one or more sensors and the plurality of scene points based on the estimated parameter sets, the established constraints being utilized to reconcile differences in parameter values in the estimated parameter sets, and producing a three-dimensional representation of the given scene utilizing the consensus parameter set.

Distributed processing for producing three-dimensional reconstructions

Systems and methods for generating content corresponding to an event are provided. A method for generating content corresponding to an event, comprises defining a plurality of sub-events of the event, classifying one or more actual occurrences in the event into one or more of the sub-events, monitoring behavior of one or more users to determine areas of the event of interest to the one or more users, linking the one or more users to the one or more classified actual occurrences based on the areas of the event of interest, and generating content for the one or more classified actual occurrences.

System and method for generating content corresponding to an event

A method and system presents a sensory trait to a person for providing a human-sense perceivable representation of an aspect of an event. Information associated with an event can be received which has a first aspect being perceivable by a human via a first human sense at a distance from the event. A second aspect of the event is imperceivable by the human via a second human sense at the distance from the event. A query can be sent to a database for a representation of the first aspect of the event. A response to the query can be received which identifies the representation of the second aspect. The representation of the second aspect can be outputted in a manner that is perceivable by the human via the second human sense, while the human perceives the first aspect via the first human sense at the distance from the event.

Providing a human-sense perceivable representation of an aspect of an event

A system and computer program product to detect an event include selecting a region and time frame of interest, obtaining a set of social media data streams associated with the region and the time frame of interest, applying a lexical graph generation algorithm to the set of social media data streams to obtain lexical graphs, and performing similarity analysis on the lexical graphs based on candidate lexical graphs related to the event to generate matching data. Investigating the event is based on the matching data.

Theft detection via adaptive lexical similarity analysis of social media data streams

In a method for generating a searchable index from an analysis of a software application, receiving a first software application. The one or more processors determine that a first source code of the first software application is inaccessible. The one or more processors stimulate the first software application. The one or more processors analyze textual data resulting from the stimulation of the first software application. The one or more processors classify one or more images resulting from the stimulation of the first software application. The one or more processors index the analyzed textual data and the classified one or more images resulting from the stimulation of the first software application.

Indexing content and source code of a software application

A sensory hologram system includes a holographic system generating a holographic image, a sensory imparting system augmenting the holographic image, a detector configured to detect a location of a target, and a processor synchronizing the holographic system and the sensory imparting system based on the location of the target.

Sensory holograms

A system and method to produce an electric network from estimated line impedance and physical line length among smart meter devices is provided using communication between the smart meters. The smart meters: (1) synchronize time using GPS pps signals, which provide an accurate time stamp; (2) send/receive an identifiable signal through the same phase of electric networks; (3) identify other smart meters on the same phase lines by listening to the information signal on the same phase lines; and (4) calculate time-of-arrival of an identifiable signal from other smart meters. The time of arrival information is used to calculate the line length, which is then used to calculate impedance of a line and topology of the electric network. The system then constructs an electric network by combining geo-spatial information and tree-like usual connection information.

Method and apparatus to determine electric power network anomalies using a coordinated information exchange among smart meters

Systems and methods for generating a tactile representation of an object are provided. A method for generating a tactile representation of an object, comprises obtaining a microscopic image of a surface of the object, processing data corresponding to the image to generate a roughness pattern for the object based on the image, calibrating the roughness pattern with a predetermined material, and simulating the roughness pattern on an electronic device.

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Bronx, NY, United States of America

Aleksandr Y Aravkin