Patents Assigned to UNIVERSIDAD REY JUAN CARLOS
  • Publication number: 20230010573
    Abstract: Devices and methods are described for performing high angle tilting tomography on samples in a liquid medium using transmission electron beam instruments.
    Type: Application
    Filed: December 18, 2020
    Publication date: January 12, 2023
    Applicants: Universidad Rey Juan Carlos, NANOMEGAS SPRL
    Inventors: Jesus Gonzales Casablanca, Stavros Nicolopoulos
  • Patent number: 11093037
    Abstract: A computer-implemented method for simulating the behavior of a hand interacting with objects in a virtual environment is provided, having acquiring a skeleton of a tracked hand using a hand-tracking device; computing a simulated hand interacting with objects in a virtual environment; establishing a coupling between the skeleton of a simulated hand and the tracked skeleton using coupling energies (Ucrb); establishing an internal energy of the simulated hand that accounts for joint constraints of the skeleton, skeleton-tissue coupling, and nonlinear soft-tissue deformation; establishing frictional contact between the simulated hand and virtual objects using a penalty energy considering relative interpenetration at contact points and a frictional energy considering the deviation between each contact point and its corresponding sliding anchor point; computing an updated skeleton and tissue of the simulated hand by minimizing the total energy involved.
    Type: Grant
    Filed: March 13, 2019
    Date of Patent: August 17, 2021
    Assignee: UNIVERSIDAD REY JUAN CARLOS
    Inventors: Mickeal Verschoor, Miguel Angel Otaduy Tristran, Daniel Lobo Cuenca
  • Patent number: 11080776
    Abstract: Methods, systems, and computer readable media for computing user rating predictions are disclosed. In some examples, a recommender is implemented on at least one processor and memory and programmed for receiving a request to select one or more recommended items for a user from unrated items that are unrated by the user to the recommender. The recommender is programmed for computing user rating predictions for each of the unrated items by applying a graph filter to user-item rating data. The user-item rating data includes other-user ratings of the unrated items by other users and a same-user ratings of other items by the user. The recommender is programmed for selecting the one or more recommended items from the unrated items using the user rating predictions for the unrated items and outputting the recommended items in response to the request.
    Type: Grant
    Filed: August 28, 2018
    Date of Patent: August 3, 2021
    Assignees: THE TRUSTEES OF THE UNIVERSITY OF PENNSYLVANIA, UNIVERSIDAD REY JUAN CARLOS
    Inventors: Alejandro Rafael Ribeiro Pereira, Weiyu Huang, Antonio Garcia Marques
  • Publication number: 20200125777
    Abstract: Computer implemented method, system and computer program product for simulating the behavior of a woven fabric at yarn level. The method comprises. retrieving the layout of warp yarns (1), weft yarns (2) and yarn crossing nodes (3): describing each yarn crossing node (3) by a 3D position coordinate (x) and two sliding coordinates, warp sliding coordinate (u) and weft sliding coordinate (v) representing the sliding of warp (1) and weft (2) yarns; measuring forces on each yarn crossing node (3) based on a force model, the forces being measured on both the 3D position coordinate (x) and the sliding coordinates (u, v); calculating the movement of each yarn crossing node (3) using equations of motion derived using the Lagrange-Euler equations, and numerically integrated over time, wherein the equations of motion account for the mass density distributed uniformly along yarns, as well as the measured forces and boundary conditions.
    Type: Application
    Filed: November 20, 2019
    Publication date: April 23, 2020
    Applicant: UNIVERSIDAD REY JUAN CARLOS
    Inventors: Gabriel CIRIO, Miguel Angel OTADUY TRISTAN, David MIRAUT ANDRES, Jorge LOPEZ MORENO
  • Patent number: 10528683
    Abstract: A computer implemented method for simulating the behavior of a woven fabric at yarn level including: retrieving the layout of warp yarns, weft yarns and yarn crossing nodes; describing each yarn crossing node by a 3D position coordinate (x) and two sliding coordinates, warp sliding coordinate (u) and weft sliding coordinate (v) representing the sliding of warp and weft yarns; measuring forces on each yarn crossing node based on a force model, the forces being measured on both the 3D position coordinate (x) and the sliding coordinates (u, v); and calculating the movement of each yarn crossing node using equations of motion derived using the Lagrange-Euler equations, and numerically integrated over time, wherein the equations of motion account for the mass density distributed uniformly along yarns, as well as the measured forces and boundary conditions.
    Type: Grant
    Filed: November 10, 2015
    Date of Patent: January 7, 2020
    Assignee: UNIVERSIDAD REY JUAN CARLOS
    Inventors: Gabriel Cirio, Miguel Angel Otaduy Tristan, David Miraut Andres, Jorge Lopez Moreno
  • Patent number: 8868171
    Abstract: System for reconstruction and visualization of cardiac electric activity, with high-resolution capabilities, which improves the performance of current systems by means of the inclusion of the a priori information of the bioelectric problem in a learning algorithm, and by means of the exploitation of the spatial and temporal correlations thanks to interpolation and decimation subsystems. The system consists of, at least: a plurality of catheters; ways for obtaining the location coordinates of said array; ways for obtaining the cardiac walls geometry; ways for processing the signals from the catheters, implementing an algorithm based on Support Vector Machines, allowing the incorporation of the bioelectric phenomena; ways of interpolation and redundance exploiting for yielding high resolution without matrix inversions; and ways of visualization.
    Type: Grant
    Filed: April 14, 2009
    Date of Patent: October 21, 2014
    Assignees: Universidad Carolos III de Madrid, Fundacion para la Formacion e Investigacion Santarias de la Region de Murcia, Universidad Rey Juan Carlos
    Inventors: Arcadio García Alberola, Juan José Sanchez Muñoz, José Luis Rojo Alvarez, Felipe Alonso Atienza, Jesús Requena Carrion, Mark Richard Wilby, Antonio José Caamano Fernandez, Francisco Javier Ramos López, Miguel Ángel Moscoso Castro, Juan Diego Alvarez Román
  • Publication number: 20110224526
    Abstract: System and method for the reconstruction of cardiac electrical activation from cardiac electrical signals recorded by intracardiac catheters. The obtained signals are processed using a Support Vector Machine (SVM) algorithm to solve the dual signal problem. Visualization of the solution includes geometric information in such a way that the cardiac electrical activity can be identified and localized. The system and method are described as a preferential application for anti-arrhythmic therapies.
    Type: Application
    Filed: April 14, 2009
    Publication date: September 15, 2011
    Applicants: UNIVERSIDAD CARLOS III DE MADRID, FUNDACION PARA LA FORMACION E INVESTIGACION SANITARIAS DE LA REGION DE MURCIA, UNIVERSIDAD REY JUAN CARLOS
    Inventors: Arcadio Garcia Alberola, Juan José Sanchez Muñoz, José Luis Rojo Alvarez, Felipe Alonso Atienza, Jesùs Requena Carrion, Mark Richard Wilby, Antonio José Caamano Fernandez, Francisco Javier Ramos López, Miguel Ángel Moscoso Castro, Juan Diego Alvarez Román