Patents by Inventor Oscar G. Naim

Oscar G. Naim 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).

  • Publication number: 20210117933
    Abstract: A system includes a computing device and an article of personal protective equipment (PPE). The article of PPE includes at least one sensor configured to generate a stream of PPE data. The computing device is configured to store the PPE data in transaction data that is stored by a distributed ledger managed by a consensus network of computing devices. The computing device is further configured to perform at least one action based at least in part on the transaction data stored by the distributed ledger.
    Type: Application
    Filed: April 17, 2019
    Publication date: April 22, 2021
    Inventors: Eric C. Lobner, Oscar G. Naim D'Paola, Michael L. Gannon, Joseph P. Kronzer, Johannes P.M. Kusters, Lyle L. Luppes
  • Patent number: 8484233
    Abstract: Described is a technology for composing queries by user interaction with objects and facets. A facet-based user interface allows users to select facets for use as filtering criteria, and a logic-based user interface allows users to logically combine object data. Query logic that processes the filtering criteria and/or logically combines the object data into a query. The facet-based user interface and logic-based user interface may be accessed via a unified user interface. The unified user interface may also provide a text editor for composing a text-based query.
    Type: Grant
    Filed: June 13, 2009
    Date of Patent: July 9, 2013
    Assignee: Microsoft Corporation
    Inventors: Yin Xie, Sonia Patricia Carlson, Brian S. Aust, Oscar G. Naim, Chris D. Karkanias, George G. Robertson
  • Patent number: 7730068
    Abstract: Automated sampling and aggregation of performance or other dynamically varying data facilitates user productivity by making data available for a wide range of uses. An automated sampling and aggregration system includes one or more types of data collectors, including a dedicated data collector per machine, multiple data collectors per machine, or an instance-less data collector.
    Type: Grant
    Filed: September 26, 2006
    Date of Patent: June 1, 2010
    Assignee: Microsoft Corporation
    Inventors: Maciek Sarnowicz, Praveen Seshadri, Vipul M. Shah, James A. Holt, Michiel J. Wories, Hongfei Guo, Ciprian Gerea, Daniel T. Jones, Oscar G. Naim, Grigory Pogulsky, Sethu Srinivasan, James K. Howey
  • Publication number: 20100114931
    Abstract: Described is a technology for composing queries by user interaction with objects and facets. A facet-based user interface allows users to select facets for use as filtering criteria, and a logic-based user interface allows users to logically combine object data. Query logic that processes the filtering criteria and/or logically combines the object data into a query. The facet-based user interface and logic-based user interface may be accessed via a unified user interface. The unified user interface may also provide a text editor for composing a text-based query.
    Type: Application
    Filed: June 13, 2009
    Publication date: May 6, 2010
    Applicant: Microsoft Corporation
    Inventors: Yin Xie, Sonia Patricia Carlson, Brian S. Aust, Oscar G. Naim, Chris D. Karkanias, George G. Robertson
  • Publication number: 20070288500
    Abstract: User productivity can be facilitated through automated sampling and aggregation of performance or other dynamically varying data to make such data available for a wide range of uses. A data collector is provided and can be a dedicated data collector per machine, there can be multiple data collectors per machine, or there can be an instance-less data collector.
    Type: Application
    Filed: September 26, 2006
    Publication date: December 13, 2007
    Applicant: MICROSOFT CORPORATION
    Inventors: Maciek Sarnowicz, Praveen Seshadri, Vipul M. Shah, James A. Holt, Michiel J. Wories, Hongfei Guo, Ciprian Gerea, Daniel T. Jones, Oscar G. Naim, Grigory Pogulsky, Sethu Srinivasan, James K. Howey