Patents by Inventor Yi-Chin Chu

Yi-Chin Chu 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: 11954527
    Abstract: A resource allocation method comprises using resources with a used resource quantity of a machine learning system to execute a first experiment which has a first minimum resource demand, receiving an experiment request associated with a target dataset, deciding a second experiment according to the target dataset, deciding a second minimum resource demand of the second experiment, allocating resources with a quantity equal to the second minimum resource demand for an execution of the second experiment when a total resource quantity of the machine learning system meets a sum of the first minimum resource demand and the second minimum resource demand and a difference between the total resource quantity and the used resource quantity meets the second minimum resource demand, determining that the machine learning system has an idle resource, and selectively allocating said the idle resource for at least one of the first experiment and the second experiment.
    Type: Grant
    Filed: March 30, 2021
    Date of Patent: April 9, 2024
    Assignee: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE
    Inventors: Shih-Chang Chen, Yi-Chin Chu, Yi-Fang Lu
  • Publication number: 20220179691
    Abstract: A resource allocation method comprises using resources with a used resource quantity of a machine learning system to execute a first experiment which has a first minimum resource demand, receiving an experiment request associated with a target dataset, deciding a second experiment according to the target dataset, deciding a second minimum resource demand of the second experiment, allocating resources with a quantity equal to the second minimum resource demand for an execution of the second experiment when a total resource quantity of the machine learning system meets a sum of the first minimum resource demand and the second minimum resource demand and a difference between the total resource quantity and the used resource quantity meets the second minimum resource demand, determining that the machine learning system has an idle resource, and selectively allocating said the idle resource for at least one of the first experiment and the second experiment.
    Type: Application
    Filed: March 30, 2021
    Publication date: June 9, 2022
    Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE
    Inventors: Shih-Chang CHEN, Yi-Chin CHU, Yi-Fang LU
  • Publication number: 20050035054
    Abstract: A skincare device for filtering tapwater includes a filter having an outlet, a housing in which the filter is received, a casing having an upper casing and a lower casing, and a manifold. The upper casing is coupled to an outlet end of a faucet. The lower casing includes a water outlet that is directly below the outlet end of the faucet. The manifold is mounted in the casing and includes an upper branch for guiding tapwater from the outlet end of the faucet into the filter. The manifold further includes a lower branch for guiding filtered water from the outlet of the filter to the water outlet of the casing.
    Type: Application
    Filed: August 12, 2003
    Publication date: February 17, 2005
    Inventor: Yi-Chin Chu