Patents by Inventor Madhan KUMAR

Madhan KUMAR 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).

  • Patent number: 10339113
    Abstract: A method, system, and computer-program product for effecting incremental changes to a repository are disclosed. The method includes receiving an incremental feature package and applying the one or more revisions to the repository. In such methods, systems, and computer-program products, the incremental feature package includes one or more revisions to be made to a repository.
    Type: Grant
    Filed: September 22, 2014
    Date of Patent: July 2, 2019
    Assignee: ORACLE INTERNATIONAL CORPORATION
    Inventors: Anil Billapati, Roshni Ramesh, Madhan Kumar Dk, Kerry Macarthur, Venkatesh Nayak, Vinay Kompella, Girish Pradhan, Darshan Kumar
  • Publication number: 20190182323
    Abstract: A cloud migration tool manages and monitors a cloud migration project that migrates data from a legacy environment to a target data center environment. The cloud migration tool includes an analytics engine that applies data regression models to generate a delay risk prediction for activities that are scheduled during the cloud migration project.
    Type: Application
    Filed: April 30, 2018
    Publication date: June 13, 2019
    Applicant: Accenture Global Solutions Limited
    Inventors: Madhan Kumar Srinivasan, Arun Purushothaman, Guruprasad Pv
  • Publication number: 20190179675
    Abstract: A multi-layer committed compute reservation stack may generate prescriptive reservation matrices for controlling static reservation for computing resources. A transformation layer of the committed compute reservation stack may generate a time-mapping based on historical utilization and tagging data. An iterative analysis layer may determine a consumption-constrained committed compute state of a distribution of static reservation and dynamic requisition that achieves one or more consumption efficiency goals. Once the consumption-constrained committed compute state is determined, the prescriptive engine layer may generate a reservation matrix that may be used to control computing resource static reservation prescriptively.
    Type: Application
    Filed: March 15, 2018
    Publication date: June 13, 2019
    Applicant: Accenture Global Solutions Limited
    Inventors: Madhan Kumar Srinivasan, Arun Purushothaman, Manish Sharma Kolachalam, Michael S. Eisenstein
  • Publication number: 20190079848
    Abstract: A multi-layer activation timetable stack may generate prescriptive activation timetables for controlling activation states for computing resources. An input layer of the activation timetable stack may generate time-scaled pattern data. A transformation layer may identify trends and variables at era timescales. A data treatment layer may flag activation states based on the trends identified at the era timescales. Once the activation states a flagged, the prescriptive engine layer may generate an activation timetable that may be used to control computing resource activation prescriptively.
    Type: Application
    Filed: November 13, 2017
    Publication date: March 14, 2019
    Applicant: Accenture Global Solutions Limited
    Inventors: Madhan Kumar Srinivasan, Arun Purushothaman, Manish Sharma Kolachalam, Michael S. Eisenstein
  • Publication number: 20180302291
    Abstract: A multi-layer analytics service stack may generate forecasted utilization data. An input layer of the analytics service stack may receive input and designate cloud computing utilization data for analysis. A transformation layer of the analytics service stack may perform format transformations on the cloud computing utilization data, and the data may be prepared for analysis at a data treatment layer of the cloud computing utilization data. The treated and transformed cloud computing utilization data may be analyzed using multiple analytics models by a multi-forecasting layer of analytics service stack to generate the forecasted utilization data.
    Type: Application
    Filed: June 29, 2017
    Publication date: October 18, 2018
    Inventors: Madhan Kumar SRINIVASAN, Guruprasad PV
  • Publication number: 20180281704
    Abstract: A door edge protector device includes a protector, a cam member and a link mechanism. Cam portions are formed in the cam member, and the cam member is rotated by an input corresponding to a close/open state of a door. The link mechanism includes cam followers which are engaged with the cam portions, and the protector is attached to the link mechanism. By the engagement between the cam portions and the cam followers, the link mechanism moves in an interlocking manner with rotation of the cam member. A locus T includes an accommodated position corresponding to the close state of the door and a set position covering a door edge corresponding to the close state of the door. The cam portions are configured so that the protector moves along the locus by movement of the link mechanism.
    Type: Application
    Filed: October 25, 2016
    Publication date: October 4, 2018
    Applicants: U-SHIN LTD., U-SHIN INDIA PRIVATE LIMITED
    Inventors: Manu SHARMA, Himanshu CHAMAN, Madhan KUMAR B, Toshikazu MAKINO
  • Publication number: 20150088815
    Abstract: A method, system, and computer-program product for effecting incremental changes to a repository are disclosed. The method includes receiving an incremental feature package and applying the one or more revisions to the repository. In such methods, systems, and computer-program products, the incremental feature package includes one or more revisions to be made to a repository.
    Type: Application
    Filed: September 22, 2014
    Publication date: March 26, 2015
    Inventors: Anil Billapati, Roshni Ramesh, Madhan Kumar Dk, Kerry Macarthur, Venkatesh Nayak, Vinay Kompella, Girish Pradhan, Darshan Kumar