Patents by Inventor Johannes Reinschke

Johannes Reinschke 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).

  • Publication number: 20050125091
    Abstract: Input variables, which describe a metal strip prior to and after the passage of a rolling frame, are fed to a material flow model. The material flow model determines online a rolling force progression in the direction of the width of the strip and fees said progression to a roller deformation model. The latter determines roller deformations from said progression and feeds them to a desired value calculator, which calculates the desired values for the controlling elements of profile and surface evenness using the calculated roller deformations and a contour progression on the runout side.
    Type: Application
    Filed: March 3, 2003
    Publication date: June 9, 2005
    Inventors: Johannes Reinschke, Friedemann Schmid, Marco Miele
  • Publication number: 20050096526
    Abstract: An endoscopy capsule or and endoscopy head has an image recording device for recording image from the interior of a hollow or vessel of the human or animal body. The capsule or head is rotatable. The optical axis of the image recording device is at an angle to the rotation axis during the rotation, making it possible, by digital reprocessing, to combine stroboscopically recorded individual images into a plane or relief-type, redundancy-free single image and to present (completely) an inner section of the hollow organ.
    Type: Application
    Filed: October 6, 2004
    Publication date: May 5, 2005
    Applicant: Siemens Aktiengesellschaft
    Inventor: Johannes Reinschke
  • Publication number: 20030208287
    Abstract: A method and a device are provided for calculating in advance the process variables of an industrial process. The method, which consists of at least one empirical model and a core model, is subsequently adapted and optimized using a model that has a partial inverse structure in relation to the core model. The empirical models are optimized by means of adaption or training algorithms, which, in addition to known process parameters, have the empirical variables calculated by the partial inverse core model as basic input variables.
    Type: Application
    Filed: May 30, 2003
    Publication date: November 6, 2003
    Inventors: Matthias Kurz, Johannes Reinschke