International Business Machines Corporation

Suraj Pandey

Timothy Michael Lynar

John Michael Wagner

James R Kozloski

Aaron K Baughman

Rahil Garnavi

Ziyuan Wang

Mark Carl Hampton

Dileban Karunamoorthy

Gandhi Sivakumar

A risk management method, system, and non-transitory computer readable medium, include a data analyzing circuit configured to analyze user data, site data, and equipment data to map prior behavior types to an event on a site, a relationship determining circuit configured to determine a relationship between the mapped data and the event based on behaviors exhibited by the user and an impact on a performance factor and a risk factor, and a reinforcement learning circuit configured to use reinforcement learning to learn the performance factor to the risk factor ratio to optimize an overall site productivity.

Risk optimization through reinforcement learning

An information processing system, computer readable storage medium, and methods for analyzing the airflow related health of a person. A method includes obtaining an audio sample of a person's verbal communication, obtaining geographic information of the person, querying a remote server based on the geographic information, and obtaining additional information from the remote server, the additional information being related to the geographic information, and extracting contours of amplitude change from the at least one audio sample over a period of time, the contours of amplitude change corresponding to changes in an airflow profile of the person. The method further includes correlating the contours of amplitude change with periodic episodes typical of airflow related health problems, and determining, based at least on the additional information, whether the contours of amplitude change result from at least one local environmental factor related to the geographic information.

System and method to measure, analyze, and model pulmonary function and disease utilizing temporal, spatial, and contextual data

A method of migrating a container includes: monitoring, by a processor, a plurality of applications executing on a system to generate monitored data, where each application includes at least one container; building, by the processor, a behavior model using the monitored data; selecting, by the processor, a destination data-center among a plurality of available data-centers and one of the containers to migrate to the selected data-center based on data of the behavior model; and migrating, by the processor, the selected container from a source data-center among the available data-centers to the destination data-center.

Data-centric predictive container migration based on cognitive modelling

Social media databases are minded for data related to a subject person. The data in indicative of a level of ultraviolet light exposure of the subject person. An ultraviolet violet exposure profile for the subject person is generated based upon the data and a health assessment report provided. The data may include timestamped images of the subject person and other related persons. The skin characteristics within images are analyzed to determine an ultraviolet light exposure level for the subject person from each image. The skin characteristics may include skin color, freckling and blemishing. The ultraviolet light exposure profile may be developed over an extended interval based upon the image timestamps. The health report may be used to mitigate risks, such as skin cancer, associated with exposure to ultraviolet light.

Mining social media for ultraviolet light exposure analysis

A method, system, and/or computer program product establish a data organization format for displaying data to a specific user. A first set of data, which is organized according to a user-selected data organization format, is received from a user. A cognition bias, which defines a preferred manner in which the user cognitively interprets data, is identified by being associated with the user-selected data organization format. The cognition bias is also associated with one or more other data organization formats that support the cognition bias. A second set of data is received and formatted using the one or more other data organization formats that also support the cognition bias. The second set of data is then displayed using the one or more data organization formats that also support the cognition bias.

Discovering cognition bias toward data presentation styles through file system analysis

Social media databases are minded for data related to a subject person. The data in indicative of a level of ultraviolet light exposure of the subject person. An ultraviolet violet exposure profile for the subject person is generated based upon the data and a health assessment report provided. The data may include timestamped images of the subject person and other related persons. The skin characteristics within images are analysed to determine an ultraviolet light exposure level for the subject person from each image. The skin characteristics may include skin colour, freckling and blemishing. The ultraviolet light exposure profile may be developed over an extended interval based upon the image timestamps. The health report may be used to mitigate risks, such as skin cancer, associated with exposure to ultraviolet light.

In an approach for determining a preferred learning style of the user, a computer receives user information of a user. The computer collects data for user model development, wherein data includes actions performed by the user. The computer creates one or more associations between actions in the collected data for user model development and received user information. The computer determines a preferred learning style of the user based on the created one or more associations.

Cognitive bias determination and modeling

Embodiments are directed to a computer implemented counterproductive interaction identification system. The system includes an electronic tool configured to hold data of a user, and an analyzer circuit configured to derive a cognitive trait of the user based at least in part on the data of the user. The system further includes a decision engine configured to determine, based at least in part on the derived cognitive trait of the user, that the user is a target or a source of an actual or an impending counterproductive interaction.

Prediction and optimized prevention of bullying and other counterproductive interactions in live and virtual meeting contexts

Ultraviolet light poses both health benefits and health risks. A method, device and computer storage program balances the health risks and benefits of ultraviolet light exposure with personal sensitivities and preferences for these health risks and benefits. An ultraviolet light exposure level of a subject person is estimated by monitoring data from a plurality of sources. A personal sensitivity to ultraviolet light exposure is also estimated from data from various sources. A recommendation for the subject person is generated based upon the estimated risks and benefits of ultraviolet light exposure.

Balanced ultraviolet light exposure recommendations

A shared resource system, a method of managing resources on the system and computer program products therefor. A resource consolidation unit causes identification of identical memory segments on host computers. The resource consolidation unit may be in one or more host computers. Each identical memory segment is associated with multiple instances of resources provisioned on at least two host computers. The resource consolidation unit causes provisioned resources to be migrated for at least one instance from one of the two hosts to another. On the other host computer the migrated resources share respective identical memory segments with resources already provisioned on the other host.

Growing community of inventors

Parkville, Australia

Suraj Pandey