Patents by Inventor Yin-Hsong Hsu

Yin-Hsong Hsu 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: 20250186781
    Abstract: An electronic device and a method for determining the intensity of a low-frequency current are provided. The method includes: individually applying a corresponding first current to a body part of a user in N consecutive time intervals, wherein the time intervals include an i-th time interval to an (i+N)-th time interval; obtaining electromyography values of the body part in each time interval; determining a second current corresponding to an (i+N+1)-th time interval based on the first current corresponding to each time interval, the body part, personal information of the user, and the electromyography values of each time interval; and applying a second current to the body part of the user in the (i+N+1)-th time interval.
    Type: Application
    Filed: February 18, 2025
    Publication date: June 12, 2025
    Applicant: Acer Incorporated
    Inventors: Yi-Jin Huang, Yin-Hsong Hsu, Wei-Hao Chang, Chien-Hung Li
  • Patent number: 12263345
    Abstract: An electronic device and a method for determining the intensity of a low-frequency current are provided. The method includes: individually applying a corresponding first current to a body part of a user in N consecutive time intervals, wherein the time intervals include an i-th time interval to an (i+N)-th time interval; obtaining electromyography values of the body part in each time interval; determining a second current corresponding to an (i+N+1)-th time interval based on the first current corresponding to each time interval, the body part, personal information of the user, and the electromyography values of each time interval; and applying a second current to the body part of the user in the (i+N+1)-th time interval.
    Type: Grant
    Filed: April 28, 2021
    Date of Patent: April 1, 2025
    Assignee: Acer Incorporated
    Inventors: Yi-Jin Huang, Yin-Hsong Hsu, Wei-Hao Chang, Chien-Hung Li
  • Patent number: 11869224
    Abstract: A method and a system for establishing a light source information prediction model are provided. A plurality of training images are captured for a target object. A white object is attached on the target object. True light source information of the training images is obtained according to a color of the white object in each of the training images. A neural network model is trained according to the training images and the true light source information, and a plurality of pieces of predicted light source information is generated according to the neural network model during the training. A learning rate for training the neural network model is adaptively adjusted based on the predicted light source information.
    Type: Grant
    Filed: October 4, 2022
    Date of Patent: January 9, 2024
    Assignee: Acer Incorporated
    Inventors: Yi-Jin Huang, Chien-Hung Li, Yin-Hsong Hsu
  • Publication number: 20230282312
    Abstract: A construction method of ribosomal RNA database is provided, including the following steps: selecting a source of nucleic acid sequence database; performing normalization and homogenization on species classification rules; using AI technology for normalized classification and correction; selecting the kingdom to which the sequence species belongs; filtering out redundant sequences and sequences with inconsistent lengths; setting a threshold for unknown bases other than A, T, C or G, and excluding unknown bases that exceed the threshold; and excluding sequences with insufficient classification information.
    Type: Application
    Filed: May 20, 2022
    Publication date: September 7, 2023
    Applicants: Acer Incorporated, Acer Medical Inc., Chang Gung Memorial Hospital, Keelung, National Health Research Institutes
    Inventors: Yun-Hsuan Chan, I-Wen Wu, Chieh Hua Lin, Yin-Hsong Hsu, Chi-Hsiao Yeh, Yu-Chieh Liao, Tsung-Hsien Tsai
  • Publication number: 20230259814
    Abstract: A feature selection method is provided, including: inputting a plurality of pieces of training data into a plurality of training models to perform selection in a plurality of features through each training model for obtaining multiple feature pools; sorting the features based on the number of times each feature is selected by the feature pools to obtain a feature ranking; and extracting a plurality of designated features from the features based on the feature ranking.
    Type: Application
    Filed: May 24, 2022
    Publication date: August 17, 2023
    Applicants: Acer Incorporated, Acer Medical Inc., Chang Gung Memorial Hospital, Keelung, National Health Research Institutes
    Inventors: Yi-Chun Lin, Yin-Hsong Hsu, Tsung-Hsien Tsai, Yun-Hsuan Chan, Ting-Fen Tsai, Wei-Che Hsu, Chi-Hsiao Yeh
  • Publication number: 20230066672
    Abstract: An image processing method is provided. In the image processing method, a plurality of image quality assessment methods are received, a total execution time of a cloud server for executing image quality assessment methods is calculated, and individual execution times of an image processing device for executing image quality assessment are respectively calculated. The image quality assessment methods are classified into first type of image quality assessment methods and second type of image quality assessment methods according to the individual execution times and the total execution time. The first type of image quality assessment method are performed by the image processing device, and the second type of image quality assessment method are performed by the cloud server. Accordingly, an efficiency of image recognition may be improved by the image processing method classifying the image quality assessment methods.
    Type: Application
    Filed: October 19, 2021
    Publication date: March 2, 2023
    Applicants: Acer Incorporated, Acer Medical Inc.
    Inventors: Meng-Che Cheng, Ming-Tzuo Yin, Yin-Hsong Hsu
  • Publication number: 20230041510
    Abstract: A remote diagnosis and treatment system and a remote diagnosis and treatment method are provided. The remote diagnosis and treatment method includes: establishing an online clinic room and adding a first terminal device and a second terminal device to the online clinic room by a server; in response to receiving a first end signal from the first terminal device, removing the first terminal device from the online clinic room, adding a patient corresponding to the second terminal device to a service-waiting queue, and transmitting the service-waiting queue to a third terminal device by the server; transmitting a first join signal corresponding to the second terminal device to the server according to the service-waiting queue by the third terminal device; and adding the third terminal device to the online clinic room according to the first join signal by the server.
    Type: Application
    Filed: March 18, 2022
    Publication date: February 9, 2023
    Applicants: Acer Incorporated, Acer Medical Inc.
    Inventors: Chun-Lin Han, Yin-Hsong Hsu, Shu-Jun Liao, Yung-Han Chang, Ming-Chun Yu
  • Publication number: 20230045128
    Abstract: A method and a system for establishing a light source information prediction model are provided. A plurality of training images are captured for a target object. A white object is attached on the target object. True light source information of the training images is obtained according to a color of the white object in each of the training images. A neural network model is trained according to the training images and the true light source information, and a plurality of pieces of predicted light source information is generated according to the neural network model during the training. A learning rate for training the neural network model is adaptively adjusted based on the predicted light source information.
    Type: Application
    Filed: October 4, 2022
    Publication date: February 9, 2023
    Applicant: Acer Incorporated
    Inventors: Yi-Jin Huang, Chien-Hung Li, Yin-Hsong Hsu
  • Patent number: 11494585
    Abstract: A method and a system for establishing a light source information prediction model are provided. A plurality of training images are captured for a target object. A white object is attached on the target object. True light source information of the training images is obtained according to a color of the white object in each of the training images. A neural network model is trained according to the training images and the true light source information, and a plurality of pieces of predicted light source information is generated according to the neural network model during the training. A learning rate for training the neural network model is adaptively adjusted based on the predicted light source information.
    Type: Grant
    Filed: March 10, 2020
    Date of Patent: November 8, 2022
    Assignee: Acer Incorporated
    Inventors: Yi-Jin Huang, Chien-Hung Li, Yin-Hsong Hsu
  • Publication number: 20220296905
    Abstract: An electronic device and a method for determining the intensity of a low-frequency current are provided. The method includes: individually applying a corresponding first current to a body part of a user in N consecutive time intervals, wherein the time intervals include an i-th time interval to an (i+N)-th time interval; obtaining electromyography values of the body part in each time interval; determining a second current corresponding to an (i+N+1)-th time interval based on the first current corresponding to each time interval, the body part, personal information of the user, and the electromyography values of each time interval; and applying a second current to the body part of the user in the (i+N+1)-th time interval.
    Type: Application
    Filed: April 28, 2021
    Publication date: September 22, 2022
    Applicant: Acer Incorporated
    Inventors: Yi-Jin Huang, Yin-Hsong Hsu, Wei-Hao Chang, Chien-Hung Li
  • Patent number: 11423261
    Abstract: An electronic device and a model updating method are provided. The method includes: inputting a plurality of files to a first model and outputting a predicted result of each of the plurality of files; receiving a corrected result for correcting the prediction result of at least one first file in the plurality of files, and generating a first label file corresponding to the at least one first file according to the corrected result and the first file; training a plurality of models according to the first label file to generate a plurality of a trained model; testing the plurality of trained models using at least one test set; and replacing the first model with a first trained model when the predicting accuracy of the first trained model of the plurality of trained models is higher than the predicting accuracy of the first model.
    Type: Grant
    Filed: September 5, 2019
    Date of Patent: August 23, 2022
    Assignee: Acer Incorporated
    Inventors: Cheng-Tien Hsieh, Yin-Hsong Hsu
  • Patent number: 11386352
    Abstract: A system of training behavior labeling model is provided. Specifically, a processing unit inputs each data of a training data set into a plurality of learning modules to establish a plurality of labeling models. The processing unit obtains a plurality of second labeling information corresponding to each data of a verification data set and generates a behavior labeling result according to the second labeling information corresponding to each data of the verification data set. The processing unit obtains a labeling change value according to the behavior labeling result and first labeling information corresponding to each data of the verification data set. The processing unit, if determining that the labeling change value is greater than a change threshold, updates the first labeling information according to the behavior labeling results, exchanges the training data set and the verification data set and reestablishes the labeling models.
    Type: Grant
    Filed: February 26, 2019
    Date of Patent: July 12, 2022
    Assignee: Acer Cyber Security Incorporated
    Inventors: Chun-Hsien Li, Yin-Hsong Hsu, Chien-Hung Li, Tsung-Hsien Tsai, Chiung-Ying Huang, Ming-Kung Sun, Zong-Cyuan Jhang
  • Patent number: 11341018
    Abstract: A method for detecting abnormality adapted to detect abnormal operations of an operating system is provided. The method includes: calculating a safe range of usage of the operating system during one or more time periods according to a historical data stream; calculating abnormal ratios corresponding to the one or more time periods according to a current data stream and the safe range of usage; selecting one or more abnormal time periods from the one or more time periods according to a threshold and the abnormal ratios; calculating an abnormal indicator for each of the one or more abnormal time periods according to the historical data stream and the current data stream; and ranking the one or more abnormal time periods according to the abnormal indicator(s).
    Type: Grant
    Filed: February 21, 2019
    Date of Patent: May 24, 2022
    Assignee: Acer Cyber Security Incorporated
    Inventors: Chun-Hsien Li, Chien-Hung Li, Jun-Mein Wu, Ming-Kung Sun, Zong-Cyuan Jhang, Yin-Hsong Hsu, Chiung-Ying Huang, Tsung-Hsien Tsai
  • Publication number: 20210216816
    Abstract: A method and a system for establishing a light source information prediction model are provided. A plurality of training images are captured for a target object. A white object is attached on the target object. True light source information of the training images is obtained according to a color of the white object in each of the training images. A neural network model is trained according to the training images and the true light source information, and a plurality of pieces of predicted light source information is generated according to the neural network model during the training. A learning rate for training the neural network model is adaptively adjusted based on the predicted light source information.
    Type: Application
    Filed: March 10, 2020
    Publication date: July 15, 2021
    Applicant: Acer Incorporated
    Inventors: Yi-Jin Huang, Chien-Hung Li, Yin-Hsong Hsu
  • Publication number: 20200349396
    Abstract: An electronic device and a model updating method are provided. The method includes: inputting a plurality of files to a first model and outputting a predicted result of each of the plurality of files; receiving a corrected result for correcting the prediction result of at least one first file in the plurality of files, and generating a first label file corresponding to the at least one first file according to the corrected result and the first file; training a plurality of models according to the first label file to generate a plurality of a trained model; testing the plurality of trained models using at least one test set; and replacing the first model with a first trained model when the predicting accuracy of the first trained model of the plurality of trained models is higher than the predicting accuracy of the first model.
    Type: Application
    Filed: September 5, 2019
    Publication date: November 5, 2020
    Applicant: Acer Incorporated
    Inventors: Cheng-Tien Hsieh, Yin-Hsong Hsu
  • Publication number: 20200134504
    Abstract: A system of training behavior labeling model is provided. Specifically, a processing unit inputs each data of a training data set into a plurality of learning modules to establish a plurality of labeling models. The processing unit obtains a plurality of second labeling information corresponding to each data of a verification data set and generates a behavior labeling result according to the second labeling information corresponding to each data of the verification data set. The processing unit obtains a labeling change value according to the behavior labeling result and first labeling information corresponding to each data of the verification data set. The processing unit, if determining that the labeling change value is greater than a change threshold, updates the first labeling information according to the behavior labeling results, exchanges the training data set and the verification data set and reestablishes the labeling models.
    Type: Application
    Filed: February 26, 2019
    Publication date: April 30, 2020
    Applicant: Acer Cyber Security Incorporated
    Inventors: Chun-Hsien Li, Yin-Hsong Hsu, Chien-Hung Li, Tsung-Hsien Tsai, Chiung-Ying Huang, Ming-Kung Sun, Zong-Cyuan Jhang
  • Publication number: 20200113545
    Abstract: A diagnostic assistance method is provided in the invention. The diagnostic assistance method includes the steps of generating audio data with a stethoscope; generating image data via an ultrasonic device; processing the audio data through a first processing module to generate a first result; processing the image data through a second processing module to generate a second result; and generating a diagnostic assistance result according to the first result and the second result.
    Type: Application
    Filed: July 8, 2019
    Publication date: April 16, 2020
    Applicant: Acer Incorporated
    Inventors: Jyun-Guo Wang, Yin-Hsong Hsu
  • Publication number: 20200107812
    Abstract: An ultrasonic-based pulse-taking device and a pulse-taking method thereof which are adapted to detect a pulse condition of a person are provided. The pulse-taking method includes: sensing a blood vessel of the person to generate a color Doppler image and a blood flow waveform image. Determining the pulse condition based on the color Doppler image and the blood flow waveform image.
    Type: Application
    Filed: December 5, 2018
    Publication date: April 9, 2020
    Applicant: Acer Incorporated
    Inventors: Jyun-Guo Wang, Yin-Hsong Hsu
  • Publication number: 20200110689
    Abstract: A method for detecting abnormality adapted to detect abnormal operations of an operating system is provided. The method includes: calculating a safe range of usage of the operating system during one or more time periods according to a historical data stream; calculating abnormal ratios corresponding to the one or more time periods according to a current data stream and the safe range of usage; selecting one or more abnormal time periods from the one or more time periods according to a threshold and the abnormal ratios; calculating an abnormal indicator for each of the one or more abnormal time periods according to the historical data stream and the current data stream; and ranking the one or more abnormal time periods according to the abnormal indicator(s).
    Type: Application
    Filed: February 21, 2019
    Publication date: April 9, 2020
    Applicant: Acer Cyber Security Incorporated
    Inventors: Chun-Hsien Li, Chien-Hung Li, Jun-Mein Wu, Ming-Kung Sun, Zong-Cyuan Jhang, Yin-Hsong Hsu, Chiung-Ying Huang, Tsung-Hsien Tsai
  • Publication number: 20180365717
    Abstract: A method of predicting passenger demand includes obtaining a plurality of affecting factors; obtaining a basic passenger demand corresponding to a geographical area at a specific time period; computing at least one first type predicted demands according to the plurality of affecting factors and the basic passenger demand; selecting at least one important affecting factor from the plurality of affecting factors, and computing at least one second type predicted demand according to the at least one important affecting factor; and computing a combined predicted passenger demand according to the first predicted passenger demand and the second predicted passenger demand.
    Type: Application
    Filed: May 21, 2018
    Publication date: December 20, 2018
    Inventors: Chun-Hsien Li, Yin-Hsong Hsu, Chien-Hung Li, Tsung-Hsien Tsai, Pei-Jung Chen