Patents by Inventor Karen Scavotto

Karen Scavotto 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).

  • Fabricated data detection method
    Patent number: 11507961
    Abstract: Aspects of the disclosure are directed to receiving numerical product data indicative of a product, the numerical product data comprising numerical values indicative of at least one of chemical composition, radius, tensile strength, a diameter, position and yield strength, and storing the numerical product data in a non-volatile memory device. The numerical product data is processed in a processor to create a plurality of explanatory variables indicative of the numerical product data. Multivariate data analysis is performed on the explanatory variables indicative of the numerical product data, where the multivariate data analysis includes an iterative cluster based outlier detection procedure. A confidence indicator value indicative of the likelihood that the numerical product data includes at least one fabricated or false data entry is generated.
    Type: Grant
    Filed: September 16, 2019
    Date of Patent: November 22, 2022
    Assignee: Raytheon Technologies Corporation
    Inventor: Karen Scavotto
  • FABRICATED DATA DETECTION METHOD
    Publication number: 20200090186
    Abstract: Aspects of the disclosure are directed to receiving numerical product data indicative of a product, the numerical product data comprising numerical values indicative of at least one of chemical composition, radius, tensile strength, a diameter, position and yield strength, and storing the numerical product data in a non-volatile memory device. The numerical product data is processed in a processor to create a plurality of explanatory variables indicative of the numerical product data. Multivariate data analysis is performed on the explanatory variables indicative of the numerical product data, where the multivariate data analysis includes an iterative cluster based outlier detection procedure. A confidence indicator value indicative of the likelihood that the numerical product data includes at least one fabricated or false data entry is generated.
    Type: Application
    Filed: September 16, 2019
    Publication date: March 19, 2020
    Inventor: Karen Scavotto