Patents by Inventor Luiz Ricardo Bertoldi de Oliveira

Luiz Ricardo Bertoldi de Oliveira 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).

  • System and method for improving server usage based on anomaly detection
    Patent number: 11188412
    Abstract: A management server includes linear regression circuitry to receive the data as input data, based on the input data, the linear regression circuitry generates a linear regression line for the input data. Gradient circuitry analyzes angles between two points of data within the input data. In response to a first angle between a first point of data and a second point of data being greater than a threshold angle, the gradient circuitry determines that an interval of data including the first and second points of data is an abrupt interval, removes first data within the abrupt interval from the input data, and updates the linear regression line accordingly. Support vector machine circuitry receives the input data, classifies outliers in the input data, and removes the outliers. The linear regression line is updated based on the removal of the outliers.
    Type: Grant
    Filed: December 3, 2019
    Date of Patent: November 30, 2021
    Assignee: Dell Products L.P.
    Inventors: Rodrigo F. Mohr, Marcio F. S. Lena, Rodrigo da Rosa Righi, Cristiano André da Costa, Luiz Ricardo Bertoldi de Oliveira
  • SYSTEM AND METHOD FOR IMPROVING SERVER USAGE BASED ON ANOMALY DETECTION
    Publication number: 20210165709
    Abstract: A management server includes linear regression circuitry to receive the data as input data, based on the input data, the linear regression circuitry generates a linear regression line for the input data. Gradient circuitry analyzes angles between two points of data within the input data. In response to a first angle between a first point of data and a second point of data being greater than a threshold angle, the gradient circuitry determines that an interval of data including the first and second points of data is an abrupt interval, removes first data within the abrupt interval from the input data, and updates the linear regression line accordingly. Support vector machine circuitry receives the input data, classifies outliers in the input data, and removes the outliers. The linear regression line is updated based on the removal of the outliers.
    Type: Application
    Filed: December 3, 2019
    Publication date: June 3, 2021
    Inventors: Rodrigo F. Mohr, Marcio F. S. Lena, Rodrigo da Rosa Righi, Cristiano André da Costa, Luiz Ricardo Bertoldi de Oliveira