Patents by Inventor Zhu-Song Mei

Zhu-Song Mei 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: 9104998
    Abstract: Current monitoring systems often provide the operating condition of a specific component and do not consider the impact of a specific failure upon an entire system or a business. Nor do the current systems provide an avenue for the business to predict the loss, as well as its impact, and make an educated decision of mitigating the loss based upon economic, environmental, and health and safety considerations. Methods and systems are provided for predicting loss events, impacts of loss events, and providing potential corrective measures to reduce or eliminate the occurrence or impact of the loss events. One aspect relates to the use of system-wide information to predict variables that are directly linked to business impact, such as production loss. Extraneous and transactional data are also utilized according to other aspects of the invention.
    Type: Grant
    Filed: July 11, 2013
    Date of Patent: August 11, 2015
    Assignee: Accenture Global Services Limited
    Inventors: Ajay Kurian Easo, David H. Kil, Zhu-Song Mei, Baiju Shah
  • Publication number: 20150127740
    Abstract: A method, device, system or article of manufacture is provided for social networking. In one embodiment, a method comprises hosting, by a master server, a plurality of client devices for a conference event, wherein each of the plurality of client devices is associated with a member of a community, wherein the master server is associated with a first computer program running on a first computer hardware system; identifying that a capacity of the master server is not sufficient to host the conference event; initiating, in response to identifying that the capacity of the master server is not sufficient for hosting the conference event, a secondary server, wherein the secondary server is associated with a second computer program running on a second computer hardware system; and assigning a portion of the plurality of client devices to the secondary server.
    Type: Application
    Filed: December 22, 2014
    Publication date: May 7, 2015
    Inventors: Zhu-Song Mei, Justin Matthew Brown
  • Patent number: 8918464
    Abstract: A method, device, system or article of manufacture is provided for social networking. In one embodiment, a method comprises hosting, by a master server, a plurality of client devices for a conference event, wherein each of the plurality of client devices is associated with a member of a community, wherein the master server is associated with a first computer program running on a first computer hardware system; identifying that a capacity of the master server is not sufficient to host the conference event; initiating, in response to identifying that the capacity of the master server is not sufficient for hosting the conference event, a secondary server, wherein the secondary server is associated with a second computer program running on a second computer hardware system; and assigning a portion of the plurality of client devices to the secondary server.
    Type: Grant
    Filed: February 28, 2013
    Date of Patent: December 23, 2014
    Assignee: BigMarker.com, LLC
    Inventors: Zhu-Song Mei, Justin Matthew Brown
  • Publication number: 20140249865
    Abstract: Methods and systems for processing claims (e.g., healthcare insurance claims) are described. For example, prior to payment of an unpaid claim, a prediction is made as to whether or not an attribute specified in the claim is correct. Depending on the prediction results, the claim can be flagged for an audit. Feedback from the audit can be used to update the prediction models in order to refine the accuracy of those models.
    Type: Application
    Filed: May 16, 2014
    Publication date: September 4, 2014
    Applicant: Accenture Global Services Limited
    Inventors: Rayid Ghani, Leana R. Wallace, Michael S. Irish, Ajay K. Easo, Mohit Kumar, Zhu-Song Mei, Dmitriy Feferman, Nicholas F. Howell, Lindsey J. Lizardi, Laura J. Jantzen
  • Patent number: 8762180
    Abstract: Methods and systems for processing claims (e.g., healthcare insurance claims) are described. For example, prior to payment of an unpaid claim, a prediction is made as to whether or not an attribute specified in the claim is correct. Depending on the prediction results, the claim can be flagged for an audit. Feedback from the audit can be used to update the prediction models in order to refine the accuracy of those models.
    Type: Grant
    Filed: August 25, 2009
    Date of Patent: June 24, 2014
    Assignee: Accenture Global Services Limited
    Inventors: Rayid Ghani, Leana R Wallace, Michael S Irish, Ajay K Easo, Mohit Kumar, Zhu-Song Mei, Dmitriy Feferman, Nicholas F Howell, Lindsey J Lizardi, Laura J Jantzen
  • Publication number: 20130297377
    Abstract: Current monitoring systems often provide the operating condition of a specific component and do not consider the impact of a specific failure upon an entire system or a business. Nor do the current systems provide an avenue for the business to predict the loss, as well as its impact, and make an educated decision of mitigating the loss based upon economic, environmental, and health and safety considerations. Methods and systems are provided for predicting loss events, impacts of loss events, and providing potential corrective measures to reduce or eliminate the occurrence or impact of the loss events. One aspect relates to the use of system-wide information to predict variables that are directly linked to business impact, such as production loss. Extraneous and transactional data are also utilized according to other aspects of the invention.
    Type: Application
    Filed: July 11, 2013
    Publication date: November 7, 2013
    Inventors: Ajay Kurian Easo, David H. Kil, Zhu-Song Mei, Baiju Shah
  • Patent number: 8510151
    Abstract: Current monitoring systems often provide the operating condition of a specific component and do not consider the impact of a specific failure upon an entire system or a business. Nor do the current systems provide an avenue for the business to predict the loss, as well as its impact, and make an educated decision of mitigating the loss based upon economic, environmental, and health and safety considerations. Methods and systems are provided for predicting loss events, impacts of loss events, and providing potential corrective measures to reduce or eliminate the occurrence or impact of the loss events. One aspect relates to the use of system-wide information to predict variables that are directly linked to business impact, such as production loss. Extraneous and transactional data are also utilized according to other aspects of the invention.
    Type: Grant
    Filed: July 23, 2008
    Date of Patent: August 13, 2013
    Assignee: Accenture Global Services Limited
    Inventors: Ajay Kurian Easo, David H. Kil, Zhu-Song Mei, Baiju Shah
  • Patent number: 8326869
    Abstract: The hierarchical relationships between objects in different levels of an object structure (such as a contract) are stored as elements in two-dimensional matrix representations. In general, the matrix representations facilitate queries, clustering of like objects and contracts, and comparisons that identify common objects and contracts.
    Type: Grant
    Filed: September 23, 2010
    Date of Patent: December 4, 2012
    Assignee: Accenture Global Services Limited
    Inventors: Surya P Kolluri, Zhu-Song Mei, Dmitriy Feferman, Kevin P Lee, Michael Irish, Heather E Nelson, David Kil
  • Publication number: 20120078940
    Abstract: The hierarchical relationships between objects in different levels of an object structure (such as a contract) are stored as elements in two-dimensional matrix representations. In general, the matrix representations facilitate queries, clustering of like objects and contracts, and comparisons that identify common objects and contracts.
    Type: Application
    Filed: September 23, 2010
    Publication date: March 29, 2012
    Inventors: Surya P. KOLLURI, Zhu-Song MEI, Dmitriy FEFERMAN, Kevin P. LEE, Michael IRISH, Heather E. NELSON, David KIL
  • Publication number: 20110054925
    Abstract: Methods and systems for processing claims (e.g., healthcare insurance claims) are described. For example, prior to payment of an unpaid claim, a prediction is made as to whether or not an attribute specified in the claim is correct. Depending on the prediction results, the claim can be flagged for an audit. Feedback from the audit can be used to update the prediction models in order to refine the accuracy of those models.
    Type: Application
    Filed: August 25, 2009
    Publication date: March 3, 2011
    Inventors: Rayid GHANI, Leana R. WALLACE, Michael S. IRISH, Ajay K. EASO, Mohit KUMAR, Zhu-Song MEI, Dmitriy FEFERMAN, Nicholas F. HOWELL, Lindsey J. LIZARDI, Laura J. JANTZEN
  • Publication number: 20100023359
    Abstract: Current monitoring systems often provide the operating condition of a specific component and do not consider the impact of a specific failure upon an entire system or a business. Nor do the current systems provide an avenue for the business to predict the loss, as well as its impact, and make an educated decision of mitigating the loss based upon economic, environmental, and health and safety considerations. Methods and systems are provided for predicting loss events, impacts of loss events, and providing potential corrective measures to reduce or eliminate the occurrence or impact of the loss events. One aspect relates to the use of system-wide information to predict variables that are directly linked to business impact, such as production loss. Extraneous and transactional data are also utilized according to other aspects of the invention.
    Type: Application
    Filed: July 23, 2008
    Publication date: January 28, 2010
    Applicant: ACCENTURE GLOBAL SERVICES GMBH
    Inventors: Ajay Kurian Easo, David H. Kil, Zhu-Song Mei, Baiju Shah