Patents by Inventor Ravi Teja

Ravi Teja has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Network node failure predictive system
    Patent number: 9483338
    Abstract: In an example, network node failures may be predicted by extracting performance metrics for the network nodes from a plurality of data sources. A fail condition may be defined for the network nodes and input variables related to the fail condition for the network nodes may then be derived from the extracted performance metrics. A plurality of models may then be trained to predict the fail condition for the network nodes using a training set from the extracted performance metrics with at least one of the identified input variables. Each of the plurality of trained models may be validated using a validation set from the extracted performance metrics and may be rated according to predefined criteria. As a result, a highest rated model of the validated models may be selected to predict the fail condition for the network nodes.
    Type: Grant
    Filed: November 7, 2014
    Date of Patent: November 1, 2016
    Assignee: ACCENTURE GLOBAL SERVICES LIMITED
    Inventors: Anuj Bhalla, Madan Kumar Singh, Christopher Scott Lucas, Ravi Teja, Sachin Sehgal, Mayank Kant, Sonal Bhutani
  • NETWORK NODE FAILURE PREDICTIVE SYSTEM
    Publication number: 20150135012
    Abstract: In an example, network node failures may be predicted by extracting performance metrics for the network nodes from a plurality of data sources. A fail condition may be defined for the network nodes and input variables related to the fail condition for the network nodes may then be derived from the extracted performance metrics. A plurality of models may then be trained to predict the fail condition for the network nodes using a training set from the extracted performance metrics with at least one of the identified input variables. Each of the plurality of trained models may be validated using a validation set from the extracted performance metrics and may be rated according to predefined criteria. As a result, a highest rated model of the validated models may be selected to predict the fail condition for the network nodes.
    Type: Application
    Filed: November 7, 2014
    Publication date: May 14, 2015
    Applicant: Accenture Global Services Limited
    Inventors: Anuj Bhalla, Madan Kumar Singh, Christopher Scott Lucas, Ravi Teja, Sachin Sehgal, Mayank Kant, Sonal Bhutani
  • Systems, Methods, And Computer Program Products Providing Designation Of Money With An Account
    Publication number: 20140258008
    Abstract: An electronic device includes: a memory storing instructions, and one or more processors in communication with the memory configured to execute the instructions to: create a segregated portion of a monetary account, the segregated portion being designated for use for a particular type of good or service, enforce segregation of the portion by denying use of money within the portion for goods or services different from the particular type of good or service.
    Type: Application
    Filed: March 7, 2013
    Publication date: September 11, 2014
    Applicant: EBAY INC.
    Inventors: Shailesh Dinkar Govande, Manabendra Paul, Ravi Teja, Madhura Pravin Tipnis