Patents by Inventor Bharathi Raja Kalyanasundaram

Bharathi Raja Kalyanasundaram 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).

  • FACILITATING REDUCTION OF NOISE IN NON-STANDARD PRINTED CIRCUIT BOARD ASSEMBLY COMPONENT DESCRIPTIONS USING A ZERO-SHOT MODEL TO IDENTIFY SALIENT COMPONENT CLASS DESCRIPTIONS
    Publication number: 20240143639
    Abstract: Facilitating reduction of noise in non-standard printed circuit board assembly component descriptions using a zero-shot model to identify salient component class descriptions is presented herein.
    Type: Application
    Filed: October 27, 2022
    Publication date: May 2, 2024
    Inventors: Ravi Shukla, Jeffrey Vah, Jerrold Cady, Bharathi Raja Kalyanasundaram, Aaron Sanchez
  • Component failure prediction
    Patent number: 11416321
    Abstract: A method comprises retrieving operating conditions data comprising operational details of one or more components in at least one computing environment. Component replacement data and no fault found (NFF) data of the computing environment are also retrieved. The component replacement data comprises details about components that have been replaced in the computing environment. The NFF data comprises details about components incorrectly identified as having failed in the computing environment and symptoms leading to the incorrect identifications. The method also comprises generating a first mapping between given ones of the operational details and given ones of the replaced components, and generating a second mapping between given ones of the incorrectly identified components and given ones of the symptoms using one or more machine learning algorithms. Using the first and second mappings, at least one failed component is predicted based on one or more symptoms identified in a received support case.
    Type: Grant
    Filed: August 13, 2020
    Date of Patent: August 16, 2022
    Assignee: Dell Products L.P.
    Inventors: Devipriya Selvaraju, Karthik Sethuramalingam, Bharathi Raja Kalyanasundaram
  • COMPONENT FAILURE PREDICTION
    Publication number: 20220050733
    Abstract: A method comprises retrieving operating conditions data comprising operational details of one or more components in at least one computing environment. Component replacement data and no fault found (NFF) data of the computing environment are also retrieved. The component replacement data comprises details about components that have been replaced in the computing environment. The NFF data comprises details about components incorrectly identified as having failed in the computing environment and symptoms leading to the incorrect identifications. The method also comprises generating a first mapping between given ones of the operational details and given ones of the replaced components, and generating a second mapping between given ones of the incorrectly identified components and given ones of the symptoms using one or more machine learning algorithms. Using the first and second mappings, at least one failed component is predicted based on one or more symptoms identified in a received support case.
    Type: Application
    Filed: August 13, 2020
    Publication date: February 17, 2022
    Inventors: Devipriya Selvaraju, Karthik Sethuramalingam, Bharathi Raja Kalyanasundaram