Patents by Inventor Claudio Muscio

Claudio Muscio 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: 7369935
    Abstract: A soft-computing method for establishing the dissipation law of the heat in a diesel Common Rail engine, in particular for establishing the dissipation mean speed (HRR) of the heat, includes the following steps: choosing a number of Wiebe functions whereon a dissipation speed signal (HRR) of the heat is decomposed; applying a Transform ? to the dissipation speed signal (HRR) of the heat; carrying out analysis of homogeneity of the Transform ? output; realizing a corresponding neural network MLP wherein the design is guided by an evolutive algorithm; and training and testing the neural network MLP.
    Type: Grant
    Filed: September 25, 2006
    Date of Patent: May 6, 2008
    Assignee: STMicroelectronics S.r.l.
    Inventors: Nicola Cesario, Claudio Muscio, Marco Farina, Paolo Amato
  • Publication number: 20070021902
    Abstract: A soft-computing method for establishing the dissipation law of the heat in a diesel Common Rail engine, in particular for establishing the dissipation mean speed (HRR) of the heat, includes the following steps: choosing a number of Wiebe functions whereon a dissipation speed signal (HRR) of the heat is decomposed; applying a Transform ? to the dissipation speed signal (HRR) of the heat; carrying out analysis of homogeneity of the Transform ? output; realizing a corresponding neural network MLP wherein the design is guided by an evolutive algorithm; and training and testing the neural network MLP.
    Type: Application
    Filed: September 25, 2006
    Publication date: January 25, 2007
    Inventors: Nicola Cesario, Claudio Muscio, Marco Farina, Paolo Amato
  • Patent number: 7120533
    Abstract: A soft-computing method for establishing the dissipation law of the heat in a diesel Common Rail engine, in particular for establishing the dissipation mean speed (HRR) of the heat, includes the following steps: choosing a number of Wiebe functions whereon a dissipation speed signal (HRR) of the heat is decomposed; applying a Transform ? to the dissipation speed signal (HRR) of the heat; carrying out analysis of homogeneity of the Transform ? output; realizing a corresponding neural network MLP wherein the design is guided by an evolutive algorithm; and training and testing the neural network MLP.
    Type: Grant
    Filed: May 31, 2005
    Date of Patent: October 10, 2006
    Assignee: STMicroelectronics S.R.L.
    Inventors: Nicola Cesario, Claudio Muscio, Marco Farina, Paolo Amato
  • Publication number: 20050273244
    Abstract: A soft-computing method for establishing the dissipation law of the heat in a diesel Common Rail engine, in particular for establishing the dissipation mean speed (HRR) of the heat, includes the following steps: choosing a number of Wiebe functions whereon a dissipation speed signal (HRR) of the heat is decomposed; applying a Transform ? to the dissipation speed signal (HRR) of the heat; carrying out analysis of homogeneity of the Transform ? output; realizing a corresponding neural network MLP wherein the design is guided by an evolutive algorithm; and training and testing the neural network MLP.
    Type: Application
    Filed: May 31, 2005
    Publication date: December 8, 2005
    Inventors: Nicola Cesario, Claudio Muscio, Marco Farina, Paolo Amato