General Electric Company

Nbcuniversal Media, LLC

Babu Ozhur Narayanan

Jayanth Kalle Marasanapalle

Tapan Shah

Daniel Edward Hogan

Vineel Chandrakanth Gujjar

Gopi Subramanian

Paul Gerard Nistler

Giridhar M Prabhakar

Debasis Bal

Aditya Ramkrishna Karnik

Subhankar Ghosh

Ramasubramanian Gangaikondan Sundararajan

Suresh Govindappa

Christopher Johannessen

A rail vehicle wheel flat warning system comprising a first sensor, a second sensor and a controller. The first sensor may be located adjacent to a first side of a rail to provide data associated with a rail vehicle wheel passing over the first side of the rail. The second sensor may be located adjacent to the first side of the rail to provide data associated with the rail vehicle wheel passing over the first side of the rail. Furthermore, the controller may be in communication with the first sensor and the second sensor to receive data from the first sensor and the second sensor. The controller may determine a potential wheel deformity based on the data received from the first sensor and the second sensor.

Wheel deformity warning system

A system includes plural, different sensors configured to be operably connected to a first vehicle. The sensors obtain status data indicative of a state of a cooling system of the first vehicle. The system includes a digital twin system having processors configured to modify the status data having sampling rates or resolutions that differ such that the status data that is modified has a common sampling rate resolution as that of other data. The processors create a digital twin matrix of the status data. The digital twin matrix is indicative of the state of the cooling system. The processors also determine a health score of the cooling system or simulate operation of the cooling system based on the digital twin matrix. The digital twin system is configured to change or control actual operation of the cooling system based on the health score or the operation that is simulated.

Digital twin system for a cooling system

A system for generating web analytic reports includes a client interface unit configured to receive one or more predefined tagging conditions from a client for generating a set of tagging rules based on the one or more predefined tagging conditions. The system also includes a tag generation unit configured to generate a client tagged data based on the set of tagging rules. The system also includes an output interface unit configured to generate web analytic reports via analyzing the client tagged data based on the set of tagging rules.

System and method for generating web analytic reports

A system for generating web analytic reports is provided. The system includes a processor configured to receive an input web page link, execute a unified tag for the input web page link, and generate unified tagged data based on the executed unified tag. The system also includes a server side translation unit configured to translate the unified tagged data to corresponding client tagged data for each of a plurality of clients. The system further includes a plurality of client side analytical units associated with a corresponding client among the plurality of clients and communicatively coupled to the server side translation unit, wherein at least a portion of the client side analytical units are configured to analyze the corresponding client tagged data for each of the plurality of clients and generate a corresponding client side web analytics report for each of the plurality of clients.

A system for dynamically allocating resources in a computing grid is provided. The system comprises a resource management component, a service level agreement (SLA) management component and a job scheduling component. The resource management component is configured to determine availability of a set of resources in a computing grid, for executing job requests submitted by users of the computing grid. The SLA management component is configured to manage service level agreements (SLAs) corresponding to the users and perform a negotiation of resources for the users submitting the job requests, in real-time, based on a resource steerability attribute associated with the job requests. The job-scheduling component is configured to schedule the job requests for the users, based on the resource steerability attribute associated with the job requests. The job requests comprise at least one of a job having batch characteristics and a job having interactive characteristics. The computing grid is configured to process the job based on the resource steerability attribute associated with the job request.

System and method for dynamic allocation of resources in a computing grid

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Karnataka, India

Babu Ozhur Narayanan