Patents by Inventor Michael J. Weinberger

Michael J. Weinberger 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: 11934212
    Abstract: A handheld computer device is configured to selectively receive a plurality of fluid output values from a paint sprayer and configured to operate in an accessible mode in which the handheld computer device is in a first location where wireless connectivity, via a continuous or near continuous communication path, to at least one of a network server or the paint sprayer is accessible or operate in an inaccessible mode in which the handheld computer device is in a second location out of range of the continuous or near continuous communication path to at least one of the network server or the paint sprayer.
    Type: Grant
    Filed: April 7, 2023
    Date of Patent: March 19, 2024
    Assignee: GRACO MINNESOTA INC.
    Inventors: Christopher M. Lange, Nicholas A. Pagano, Benjamin R. Godding, Mark T. Weinberger, Michael J. Mansheim, Nicholas H. Reath, Andrew J. Kopel, Daniel R. Johnson, Kevin C. Robb, Robert J. Gundersen
  • Patent number: 11934210
    Abstract: A handheld computer device is configured to selectively receive a plurality of fluid output values from a paint sprayer and configured to operate in an accessible mode in which the handheld computer device is in a first location where wireless connectivity, via a continuous or near continuous communication path, to at least one of a network server or the paint sprayer is accessible or operate in an inaccessible mode in which the handheld computer device is in a second location out of range of the continuous or near continuous communication path to at least one of the network server or the paint sprayer.
    Type: Grant
    Filed: July 8, 2022
    Date of Patent: March 19, 2024
    Assignee: GRACO MINNESOTA INC.
    Inventors: Christopher M. Lange, Nicholas A. Pagano, Benjamin R. Godding, Mark T. Weinberger, Michael J. Mansheim, Nicholas H. Reath, Andrew J. Kopel, Daniel R. Johnson, Kevin C. Robb, Robert J. Gundersen
  • Patent number: 11934211
    Abstract: A handheld computer device is configured to selectively receive a plurality of fluid output values from a paint sprayer and configured to operate in an accessible mode in which the handheld computer device is in a first location where wireless connectivity, via a continuous or near continuous communication path, to at least one of a network server or the paint sprayer is accessible or operate in an inaccessible mode in which the handheld computer device is in a second location out of range of the continuous or near continuous communication path to at least one of the network server or the paint sprayer.
    Type: Grant
    Filed: April 7, 2023
    Date of Patent: March 19, 2024
    Assignee: GRACO MINNESOTA INC.
    Inventors: Christopher M. Lange, Nicholas A. Pagano, Benjamin R. Godding, Mark T. Weinberger, Michael J. Mansheim, Nicholas H. Reath, Andrew J. Kopel, Daniel R. Johnson, Kevin C. Robb, Robert J. Gundersen
  • Patent number: 9904955
    Abstract: A system for electronic crime reduction is provided, comprising a computer system, a database, a malware de-compiler, a malware parser, and an inference engine. The database contains information that associates electronic crime attack signature data with at least one of an individual, a group, and a location. The malware de-compiler, when executed on the computer system, translates a first malware executable to an assembly language version. The first malware is associated with an electronic crime that has been committed. The malware parser, when executed on the computer system, analyzes the assembly language version to identify distinctive coding preferences used to develop the first malware. The inference engine, when executed on the computer system, analyzes the distinctive coding preferences identified by the malware parser application in combination with searching the database to identify one of an individual, a group, and a location associated with the electronic crime.
    Type: Grant
    Filed: June 18, 2014
    Date of Patent: February 27, 2018
    Assignee: FireEye, Inc.
    Inventors: John P. Watters, Jonathan M. Couch, Sam F. Stover, Michael J. Weinberger, Frederick Doyle, Gregory MacManus
  • Publication number: 20140297494
    Abstract: A system for electronic crime reduction is provided, comprising a computer system, a database, a malware de-compiler, a malware parser, and an inference engine. The database contains information that associates electronic crime attack signature data with at least one of an individual, a group, and a location. The malware de-compiler, when executed on the computer system, translates a first malware executable to an assembly language version. The first malware is associated with an electronic crime that has been committed. The malware parser, when executed on the computer system, analyzes the assembly language version to identify distinctive coding preferences used to develop the first malware. The inference engine, when executed on the computer system, analyzes the distinctive coding preferences identified by the malware parser application in combination with searching the database to identify one of an individual, a group, and a location associated with the electronic crime.
    Type: Application
    Filed: June 18, 2014
    Publication date: October 2, 2014
    Inventors: John P. Watters, Jonathan M. Couch, Sam F. Stover, Michael J. Weinberger, Frederick Doyle, Gregory MacManus
  • Patent number: 8813050
    Abstract: A system for electronic crime reduction is provided, comprising a computer system, a database, a malware de-compiler, a malware parser, and an inference engine. The database contains information that associates electronic crime attack signature data with at least one of an individual, a group, and a location. The malware de-compiler, when executed on the computer system, translates a first malware executable to an assembly language version. The first malware is associated with an electronic crime that has been committed. The malware parser, when executed on the computer system, analyzes the assembly language version to identify distinctive coding preferences used to develop the first malware. The inference engine, when executed on the computer system, analyzes the distinctive coding preferences identified by the malware parser application in combination with searching the database to identify one of an individual, a group, and a location associated with the electronic crime.
    Type: Grant
    Filed: June 3, 2008
    Date of Patent: August 19, 2014
    Assignee: Isight Partners, Inc.
    Inventors: John P. Watters, Jonathan M. Couch, Sam F. Stover, Michael J. Weinberger, Fredrick Doyle, Gregory MacManus
  • Publication number: 20090300589
    Abstract: A system for electronic crime reduction is provided, comprising a computer system, a database, a malware de-compiler, a malware parser, and an inference engine. The database contains information that associates electronic crime attack signature data with at least one of an individual, a group, and a location. The malware de-compiler, when executed on the computer system, translates a first malware executable to an assembly language version. The first malware is associated with an electronic crime that has been committed. The malware parser, when executed on the computer system, analyzes the assembly language version to identify distinctive coding preferences used to develop the first malware. The inference engine, when executed on the computer system, analyzes the distinctive coding preferences identified by the malware parser application in combination with searching the database to identify one of an individual, a group, and a location associated with the electronic crime.
    Type: Application
    Filed: June 3, 2008
    Publication date: December 3, 2009
    Applicant: ISIGHT PARTNERS, INC.
    Inventors: John P. Watters, Jonathan M. Couch, Sam F. Stover, Michael J. Weinberger, Fredrick Doyle, Gregory MacManus