Patents by Inventor Christopher W. Clark

Christopher W. Clark 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: 11921765
    Abstract: Mechanisms for the systematic iterative analysis of unstructured data files are disclosed. A first handler is initiated to analyze a plurality of files. Information about each respective file of the plurality of files analyzed by the first handler is stored in a data structure. The information includes a file identifier that identifies the respective file, a handler identifier that identifies the first handler, and results or a reference to results of an analysis of the respective file by the first handler.
    Type: Grant
    Filed: February 24, 2017
    Date of Patent: March 5, 2024
    Assignee: Red Hat, Inc.
    Inventors: Michael M. Clark, Jesse H. Jaggars, Christopher W. Sams
  • Patent number: 9939540
    Abstract: A system that detects signals and transmits data regarding certain detected signals for further analysis is disclosed. The detected signals may be analyzed to determine whether any of the detected signals correspond to a source. The system may transfer in near-real time data and information regarding the data to one or more client devices. Methods for detecting signals and transmitting data associated with the detected signals are also disclosed.
    Type: Grant
    Filed: August 19, 2011
    Date of Patent: April 10, 2018
    Assignee: Cornell University
    Inventors: Thomas Calupca, Christopher W. Clark, Sam Fladung, Amanda Kempf, Matthew Robbins, Eric Spaulding
  • Patent number: 9705607
    Abstract: A high performance computing strategy along with the capability to integrate various layers of data within a modeling framework incorporates various tools such as ambient noise, vessel and animal data to measure acute and chronic noise levels, detect and classify marine mammal vocalizations, and compute various metrics such as receive levels, signal excess, masking and communication space over relatively large temporal and spatial scales.
    Type: Grant
    Filed: October 3, 2012
    Date of Patent: July 11, 2017
    Assignee: Cornell University
    Inventors: Peter J. Dugan, Dimitri W. Ponirakis, Michael S. Pitzrick, John A. Zollweg, Christopher W. Clark, Aaron N. Rice
  • Publication number: 20160070010
    Abstract: A system that detects signals and transmits data regarding certain detected signals for further analysis is disclosed. The detected signals may be analyzed to determine whether any of the detected signals correspond to a source. The system may transfer in near-real time data and information regarding the data to one or more client devices. Methods for detecting signals and transmitting data associated with the detected signals are also disclosed.
    Type: Application
    Filed: August 19, 2011
    Publication date: March 10, 2016
    Applicant: Cornell University
    Inventors: Thomas CALUPCA, Christopher W. CLARK, Sam FLADUNG, Amanda KEMPF, Matthew ROBBINS, SPAULDING Spaulding
  • Publication number: 20140269202
    Abstract: A high performance computing strategy along with the capability to integrate various layers of data within a modeling framework incorporates various tools such as ambient noise, vessel and animal data to measure acute and chronic noise levels, detect and classify marine mammal vocalizations, and compute various metrics such as receive levels, signal excess, masking and communication space over relatively large temporal and spatial scales.
    Type: Application
    Filed: October 3, 2012
    Publication date: September 18, 2014
    Applicant: Cornell University
    Inventors: Peter J. Dugan, Dimitri W. Ponirakas, Michael S. Pitzrick, John A. Zollweg, Christopher W. Clark, Aaron N. Rice
  • Patent number: D365213
    Type: Grant
    Filed: January 9, 1995
    Date of Patent: December 19, 1995
    Inventor: Christopher W. Clark