Patents by Inventor Michal Sta?czyk

Michal Sta?czyk 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: 11346248
    Abstract: A nozzle segment for a gas turbine engine comprises an outer band having a cooling air inlet, an inner band having a first cooling air outlet, and a nozzle airfoil comprising a cooling flow passage arranged to receive the cooling air as a cooling air stream. A first channel and a second channel are arranged within the cooling flow passage. A deflector is arranged to divide the cooling air stream into a first cooling air stream in the first channel and a second cooling air stream in the second channel, respectively. The deflector deflects the first cooling air stream obliquely to a suction sidewall in the first channel, wherein the first channel is configured to transport the first cooling air stream along the first channel in a swirly flow.
    Type: Grant
    Filed: February 3, 2021
    Date of Patent: May 31, 2022
    Assignee: General Electric Company Polska Sp. Z o.o.
    Inventors: Tomasz Bulsiewics, Leszek Marek Rzeszutek, Maciej Michal Stańczyk, Dariusz Olczak, Jaroslaw Stec
  • Patent number: 9152623
    Abstract: A natural language processing system is disclosed herein. Embodiments of the NLP system perform hand-written rule-based operations that do not rely on a trained corpus. Rules can be added or modified at any time to improve accuracy of the system, and to allow the same system to operate on unstructured plain text from many disparate contexts (e.g. articles as well as twitter contexts as well as medical articles) without harming accuracy for any one context. Embodiments also include a language decoder (LD) that generates information which is stored in a three-level framework (word, clause, phrase). The LD output is easily leveraged by various software applications to analyze large quantities of text from any source in a more sophisticated and flexible manner than previously possible. A query language (LDQL) for information extraction from NLP parsers' output is disclosed, with emphasis on its embodiment implemented for LD.
    Type: Grant
    Filed: November 4, 2013
    Date of Patent: October 6, 2015
    Assignee: Fido Labs, Inc.
    Inventors: Michal Wroczyński, Tomasz Krupa, Gniewosz Leliwa, Piotr Wiacek, Michal Stańczyk