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  • Patent number: 10353064
    Abstract: Provided is an apparatus for detecting airborne objects comprising a kill vehicle bus having a radar sensor. The radar sensor may be an interferometric sensor comprising a plurality of transmit-receive arrays. Each of the transmit-receive arrays may be adapted to be stowed in a stowed position in or on the kill vehicle bus, and may be adapted to be expandable from the stowed position to an operable position.
    Type: Grant
    Filed: August 4, 2016
    Date of Patent: July 16, 2019
    Assignee: Decisive Analytics Corporation
    Inventors: Jess Granone, James Kirkland, Robert DeSilva
  • Publication number: 20100205128
    Abstract: A method for automatically organizing data into themes, the method including the steps of retrieving electronic data from at least one data source, storing the data in a temporary storage medium, querying the data in the storage medium using a computer-based query language, identifying themes within the data stored in the storage medium using a computer program including an algorithm, and organizing the data stored in the storage medium into the identified themes.
    Type: Application
    Filed: August 27, 2009
    Publication date: August 12, 2010
    Applicant: DECISIVE ANALYTICS CORPORATION
    Inventors: James J. Nolan, Mark E. Frymire, Andrew F. David
  • Patent number: 8458105
    Abstract: A method for automatically organizing data into themes, the method including the steps of retrieving electronic data from at least one data source, storing the data in a temporary storage medium, querying the data in the storage medium using a computer-based query language, identifying themes within the data stored in the storage medium using a computer program including an algorithm, and organizing the data stored in the storage medium into the identified themes.
    Type: Grant
    Filed: August 27, 2009
    Date of Patent: June 4, 2013
    Assignee: Decisive Analytics Corporation
    Inventors: James J. Nolan, Mark E. Frymire, Andrew F. David
  • Publication number: 20120323558
    Abstract: A method for creating a predictive model is disclosed herein, including the steps of determining trends and patterns in electronic data, using at least a first machine language algorithm, refining the determination of the algorithm, searching for social models that describe the identified trends and patterns using at least a second machine language algorithm, verifying causal links, constructing at least one model about human node behavior and interactions, utilizing the social models to do at least one of the following: validate hypotheses, predict future behavior, and examine hypothetical scenarios, and automatically updating predictions when new data is introduced.
    Type: Application
    Filed: September 21, 2011
    Publication date: December 20, 2012
    Applicant: DECISIVE ANALYTICS CORPORATION
    Inventors: JAMES J. NOLAN, MARK E. FRYMIRE, JONATHAN C. DAY, Peter F. David
  • Publication number: 20100235314
    Abstract: A method for automatically organizing data into themes including the steps of retrieving electronic video data from at least one video data source, separating the electronic video data into discrete packages based on the content of the data, converting speech data in the electronic video data into text data, storing the text data in a temporary storage medium, querying the text data from a temporary storage medium using a computer-based query language, identifying themes within the text data using a computer program including an statistical probability based algorithm.
    Type: Application
    Filed: December 29, 2009
    Publication date: September 16, 2010
    Applicant: DECISIVE ANALYTICS CORPORATION
    Inventors: James J. Nolan, Mark E. Frymire, Andrew F. David
  • Publication number: 20090201380
    Abstract: An apparatus having at least a first interface system. The at least a first interface system has a sensor interface portion for receiving an input of successive frames of a moving image from a video capture device; a processor portion that causes the input of successive frames of the moving image to be stabilized, compressed, and averaged, and a transmission component portion for transmitting the stabilized, compressed, and averaged input of successive frames of a moving image across a network. The stabilization of the successive frames of the moving image reduces the effects of unintended motion of the video capture device and is utilized to determine a feedback control. The processor portion utilizes the feedback control to cause the moving image to remain substantially centered within the individual frames of the input of successive frames of the moving image by causing the adjustment of the video capture device.
    Type: Application
    Filed: October 30, 2008
    Publication date: August 13, 2009
    Applicant: DECISIVE ANALYTICS CORPORATION
    Inventors: Ronald L Peaslee, James Mahaffey
  • Patent number: 8818932
    Abstract: A method for creating a predictive model is disclosed herein, including the steps of determining trends and patterns in electronic data, using at least a first machine language algorithm, refining the determination of the algorithm, searching for social models that describe the identified trends and patterns using at least a second machine language algorithm, verifying causal links, constructing at least one model about human node behavior and interactions, utilizing the social models to do at least one of the following: validate hypotheses, predict future behavior, and examine hypothetical scenarios, automatically updating predictions when new data is introduced, using probabilistic techniques to learn hierarchical structure in unstructured text, continuously updating a set of themes, examining grammatical rules of each component of text, matching grammatical constituents to semantic roles, and reorganizing data into clusters of entities with common attributes.
    Type: Grant
    Filed: September 21, 2011
    Date of Patent: August 26, 2014
    Assignee: Decisive Analytics Corporation
    Inventors: James J. Nolan, Mark E. Frymire, Jonathan C. Day, Peter F. David
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