Patents by Inventor Javier Cabrera

Javier Cabrera 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: 8602617
    Abstract: The object of the invention is an optical module intended to equip a lighting and/or a signaling device for a motor vehicle, the said optical module comprising at least one reflector associated with at least one light source. The said optical module comprises at least one optical element disposed at the front of the light source and able to deviate rays directly emitted by the source and/or emitted by the source and then reflected by the reflector, the deviation of the rays comprising at least one step of total reflection of the said rays in the said optical element.
    Type: Grant
    Filed: November 17, 2005
    Date of Patent: December 10, 2013
    Assignee: Valeo Vision
    Inventor: Javier Cabrera Godoy
  • Publication number: 20110048500
    Abstract: The invention relates to a photovoltaic concentration module and device. The device includes: a primary lens (10) configured to concentrate incident solar radiation and to generate a first concentrated radiation; a solar cell (30) configured to collect the first concentrated radiation; and a substrate (40) enabling the electrical connection and thermal dissipation of the solar cell, whereby the solar cell (30) and the substrate (40) are electrically associated so as to form an electric power generation unit. The photovoltaic concentration module includes a series of the aforementioned devices.
    Type: Application
    Filed: February 25, 2008
    Publication date: March 3, 2011
    Applicant: ISOFOTON
    Inventors: Vicente Diaz Luque, Javier Cabrera Godoy, David Corral Exposito, Jose Luis Alvares Rico
  • Publication number: 20050032066
    Abstract: Methods for determining statistical models for predicting disease risks of a population are provided. Two types of data associated with members of the population are collected. The data may include both genetic and non-genetic types of data. A candidate statistical model is selected for calculating the disease risk. The model has a plurality of parameters and is a function of only one of the two types of data. A data weight is determined for each member of the population. Members having like data of the other type have like weights. The parameters of the model are optimized by fitting the collected data to the model taking into account of the weights.
    Type: Application
    Filed: August 4, 2003
    Publication date: February 10, 2005
    Inventors: Chew Heng, Javier Cabrera, Chen Tham