Patents by Inventor Yusaku HINO

Yusaku HINO 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: 11930740
    Abstract: The combine may include a threshing tank that is configured to store a threshing product obtained by the threshing device and includes a lower tapered portion formed in a bottom portion. A bottom screw is provided inside the lower tapered portion and configured to discharge the threshing product from the threshing tank. A threshing discharge device is connected to the bottom screw and configured to convey the threshing product from the bottom screw and discharge the threshing product in a body outward direction. The threshing tank includes an inspection port formed in a bottom section of the lower tapered portion, and a lid configured to open and close the inspection port, and the lid opens and closes by swinging upward and downward about a swing axis that is not parallel with a screw axis of the bottom screw.
    Type: Grant
    Filed: July 22, 2019
    Date of Patent: March 19, 2024
    Assignee: Kubota Corporation
    Inventors: Mamoru Shinya, Yusaku Yoshida, Tsuyoshi Kumatori, Takashi Kitahara, Yoshifumi Tango, Ryohei Higashitaki, Toshinari Nishimura, Masakazu Hino, Shota Hayashi, Nobuki Kitamura
  • Publication number: 20230196100
    Abstract: A non-transitory computer-readable recording medium stores a program for causing a computer to execute a process that includes acquiring a dataset without including correct answer data, generating a first constraint condition used to maximize mutual information between each data point included in the dataset and a class label assigned to the each data point, generating a second constraint condition that reduces a distribution distance regarding class labels assigned to two data points between which a Euclidean distance is closer than a predetermined value, generating a third constraint condition that reduces a distribution distance regarding class labels assigned to data points estimated to have a same class label, and increases a distribution distance regarding class labels assigned to data points estimated to have different class labels, and training a neural network that performs data classification, by performing optimization processing based on the first, second, and third constraint conditions.
    Type: Application
    Filed: October 25, 2022
    Publication date: June 22, 2023
    Applicant: Fujitsu Limited
    Inventors: Yuichiro WADA, Takafumi KANAMORI, Yuhui ZHANG, Kaito GOTO, Yusaku HINO