Patents by Inventor Hung-Yang Chang

Hung-Yang Chang 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: 11228613
    Abstract: An aspect includes querying, by a processor, a plurality of model data from a distributed data source based at least in part on one or more user characteristics. A plurality of sensor data is gathered associated with a condition of a user. A policy is generated including an end goal and one or more sub-goals based at least in part on the model data and the sensor data. The policy is iteratively adapted based at least in part on one or more detected changes in the sensor data collected over a period of time to adjust at least one of the one or more sub-goals. The policy and the one or more sub-goals are provided to the user.
    Type: Grant
    Filed: May 22, 2017
    Date of Patent: January 18, 2022
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Hung-Yang Chang, Ching-Hua Chen, James V. Codella, Pei-Yun Hsueh, Xinyu Hu
  • Patent number: 11205150
    Abstract: A model-driven and QoS-aware infrastructure facilitates the scalable composition of Web services in highly dynamic environments. An exception management framework supports two modes of exception management for business processes, providing a novel policy-driven approach to exception management implemented in the system infrastructure. Exception management is implemented in the system infrastructure, with exception handling policies supplied by individual business processes. Using the exception management framework, developers define exception policies in a declarative manner. Before a business process is executed, the service composition middleware integrates the exception policies with normal business logic to generate a complete process schema. This policy driven-approach can significantly reduce the development time of business processes through its separation of the development of the business logic and the exception handling policies.
    Type: Grant
    Filed: April 2, 2008
    Date of Patent: December 21, 2021
    Assignee: International Business Machines Corporation
    Inventors: Jun-Jang Jeng, Hui Lei, Liangzhao Zeng, Hung-yang Chang, Santhosh Kumaran, Jen-Yao Chung
  • Patent number: 11118926
    Abstract: Disclosed is a computer-implemented method for recommending booths-to-visit to a user, comprising the following steps: accessing a user record, wherein the user record includes data indicative of booths which a user corresponding to the user record has visited in an exhibition; determining similarity level between records in a history database and the user record, the records in the history database including data indicative of the booths visited by previous visitors in the exhibition; selecting several of the records according to the determined similarity level; identifying shared ones of the selected records; determining the booths in the shared ones of the selected records not yet visited by the user; adding the determined booths to a candidate list; and presenting at least one of the booths in the candidate list to the user.
    Type: Grant
    Filed: June 17, 2019
    Date of Patent: September 14, 2021
    Assignees: International Business Machines Corporation, Industry Technology Research Institute (ITRI)
    Inventors: Hung-Yang Chang, Li-Ju Chen, Chia-Wen Ho, Kuo-shu Luo, Yi-Chang Molly Wang
  • Patent number: 11118927
    Abstract: Disclosed is a computer-implemented method for recommending booths-to-visit to a user, comprising the following steps: accessing a user record, wherein the user record includes data indicative of booths which a user corresponding to the user record has visited in an exhibition; determining similarity level between records in a history database and the user record, the records in the history database including data indicative of the booths visited by previous visitors in the exhibition; selecting several of the records according to the determined similarity level; determining the booths in the all of the selected records not yet visited by the user; adding the determined booths to a candidate list; and presenting at least one of the booths in the candidate list to the user.
    Type: Grant
    Filed: June 17, 2019
    Date of Patent: September 14, 2021
    Assignees: International Business Machines Corporation, Industry Technology Research Institute (ITRI)
    Inventors: Hung-Yang Chang, Li-Ju Chen, Chia-Wen Ho, Kuo-shu Luo, Yi-Chang Molly Wang
  • Patent number: 11119842
    Abstract: Technical solutions are described that address correcting input time-series data provided for analysis and predictions. An example computer-implemented method includes receiving, by a processor, a time-series data input by a user. The computer-implemented method also includes computing, by the processor, a first plurality of predicted values based on the time-series data input by the user; computing, by the processor, a second plurality of predicted values by. The computer-implemented method also includes determining estimated time-series data based on the time-series data input by the user. The computer-implemented method also includes computing the second plurality of predicted values based on the estimated time-series data.
    Type: Grant
    Filed: November 12, 2019
    Date of Patent: September 14, 2021
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Hung-Yang Chang, James V. Codella, Subhro Das
  • Publication number: 20200081759
    Abstract: Technical solutions are described that address correcting input time-series data provided for analysis and predictions. An example computer-implemented method includes receiving, by a processor, a time-series data input by a user. The computer-implemented method also includes computing, by the processor, a first plurality of predicted values based on the time-series data input by the user; computing, by the processor, a second plurality of predicted values by. The computer-implemented method also includes determining estimated time-series data based on the time-series data input by the user. The computer-implemented method also includes computing the second plurality of predicted values based on the estimated time-series data.
    Type: Application
    Filed: November 12, 2019
    Publication date: March 12, 2020
    Inventors: HUNG-YANG CHANG, JAMES V. CODELLA, SUBHRO DAS
  • Patent number: 10585739
    Abstract: Technical solutions are described that address correcting input time-series data provided for analysis and predictions. An example computer-implemented method includes receiving, by a processor, a time-series data input by a user. The computer-implemented method also includes computing, by the processor, a first plurality of predicted values based on the time-series data input by the user; computing, by the processor, a second plurality of predicted values by. The computer-implemented method also includes determining estimated time-series data based on the time-series data input by the user. The computer-implemented method also includes computing the second plurality of predicted values based on the estimated time-series data.
    Type: Grant
    Filed: April 28, 2017
    Date of Patent: March 10, 2020
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Hung-Yang Chang, James V. Codella, Subhro Das
  • Publication number: 20190310098
    Abstract: Disclosed is a computer-implemented method for recommending booths-to-visit to a user, comprising the following steps: accessing a user record, wherein the user record includes data indicative of booths which a user corresponding to the user record has visited in an exhibition; determining similarity level between records in a history database and the user record, the records in the history database including data indicative of the booths visited by previous visitors in the exhibition; selecting several of the records according to the determined similarity level; determining the booths in the all of the selected records not yet visited by the user; adding the determined booths to a candidate list; and presenting at least one of the booths in the candidate list to the user.
    Type: Application
    Filed: June 17, 2019
    Publication date: October 10, 2019
    Inventors: Hung-Yang Chang, Li-Ju Chen, Chia-Wen Ho, Kuo-shu Luo, Yi-Chang Molly Wang
  • Publication number: 20190301884
    Abstract: Disclosed is a computer-implemented method for recommending booths-to-visit to a user, comprising the following steps: accessing a user record, wherein the user record includes data indicative of booths which a user corresponding to the user record has visited in an exhibition; determining similarity level between records in a history database and the user record, the records in the history database including data indicative of the booths visited by previous visitors in the exhibition; selecting several of the records according to the determined similarity level; identifying shared ones of the selected records; determining the booths in the shared ones of the selected records not yet visited by the user; adding the determined booths to a candidate list; and presenting at least one of the booths in the candidate list to the user.
    Type: Application
    Filed: June 17, 2019
    Publication date: October 3, 2019
    Inventors: Hung-Yang Chang, Li-Ju Chen, Chia-Wen Ho, Kuo-shu Luo, Yi-Chang Molly Wang
  • Patent number: 10393535
    Abstract: Disclosed is a computer-implemented method for recommending booths-to-visit to a user, comprising the following steps: accessing a user record, wherein the user record includes data indicative of booths which a user corresponding to the user record has visited in an exhibition; determining similarity level between records in a history database and the user record, the records in the history database including data indicative of the booths visited by previous visitors in the exhibition; selecting one of the records according to the determined similarity level; determining the booths in the selected record not yet visited by the user; obtaining the user's current location in the exhibition; determining a target booth, from the booths not yet visited by the user, by referring to the current location and a map database; and sending to the user a message indicative of the target booth.
    Type: Grant
    Filed: October 31, 2017
    Date of Patent: August 27, 2019
    Assignees: INTERNATIONAL BUSINESS MACHINES CORPORATION, INDUSTRY TECHNOLOGY RESEARCH INSTITUTE (ITRI)
    Inventors: Hung-Yang Chang, Li-Ju Chen, Chia-Wen Ho, Kuo-shu Luo, Yi-Chang Molly Wang
  • Publication number: 20190130076
    Abstract: Embodiments of the present invention are directed to physiological sensing in a wearable device. Aspects include generating a multi-faceted feedback for a user. Generating the multi-faceted feedback includes generating a baseline physiological sampling schedule for a user, generating a quality-aware feedback of the user, generating a user-state-aware feedback of the user, and generating a context-aware feedback of the user. Aspects also include generating an adjusted physiological sampling schedule for the user based at least in part upon the multi-faceted feedback.
    Type: Application
    Filed: October 26, 2017
    Publication date: May 2, 2019
    Inventors: Hung-Yang Chang, Tian HAO, Xinxin ZHU
  • Patent number: 10258273
    Abstract: Embodiments of the present invention are directed to a computer-implemented method for stress monitoring. Methods include receiving, by a processor, a plurality of user stress labels corresponding to a plurality of events. Methods also include determining an individualized stress profile based at least in part upon the user stress labels. Methods also include receiving heart rate sensor data from a wearable device. Methods also include extracting a cardiovascular feature from the heart rate sensor data. Methods also include determining a stress index based at least in part upon the individualized stress profile and the cardiovascular feature. Methods also include outputting the stress index.
    Type: Grant
    Filed: May 18, 2017
    Date of Patent: April 16, 2019
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Hung-yang Chang, Tian Hao, Kun Lin, Xinxin Zhu
  • Publication number: 20180336480
    Abstract: An aspect includes querying, by a processor, a plurality of model data from a distributed data source based at least in part on one or more user characteristics. A plurality of sensor data is gathered associated with a condition of a user. A policy is generated including an end goal and one or more sub-goals based at least in part on the model data and the sensor data. The policy is iteratively adapted based at least in part on one or more detected changes in the sensor data collected over a period of time to adjust at least one of the one or more sub-goals. The policy and the one or more sub-goals are provided to the user.
    Type: Application
    Filed: May 22, 2017
    Publication date: November 22, 2018
    Inventors: Hung-Yang Chang, Ching-Hua Chen, James V. Codella, Pei-Yun Hsueh, Xinyu Hu
  • Publication number: 20180333090
    Abstract: Embodiments of the present invention are directed to a computer-implemented method for stress monitoring. Methods include receiving, by a processor, a plurality of user stress labels corresponding to a plurality of events. Methods also include determining an individualized stress profile based at least in part upon the user stress labels. Methods also include receiving heart rate sensor data from a wearable device. Methods also include extracting a cardiovascular feature from the heart rate sensor data. Methods also include determining a stress index based at least in part upon the individualized stress profile and the cardiovascular feature. Methods also include outputting the stress index.
    Type: Application
    Filed: May 18, 2017
    Publication date: November 22, 2018
    Inventors: Hung-yang Chang, Tian Hao, Kun Lin, Xinxin Zhu
  • Patent number: 10130255
    Abstract: A method and system for tracking eye recovery. The method includes: receiving eye data from an eyewear, wherein the eye data includes images acquired by an image capturing device in the eyewear; analyzing the eye data to determine an eye recovery status, wherein the analyzing is carried out by comparing the eye data to an initial set of eye conditions; and providing a notification of the eye recovery status.
    Type: Grant
    Filed: December 15, 2016
    Date of Patent: November 20, 2018
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Hung-Yang Chang, Pei-Yun S Hsueh, Lih-Guong Jang, Joe Lu, Sreeram Ramakrishnan, Yi-Chang Wang, Nien-Chu Wu, Xinxin Zhu
  • Publication number: 20180314573
    Abstract: Technical solutions are described that address correcting input time-series data provided for analysis and predictions. An example computer-implemented method includes receiving, by a processor, a time-series data input by a user. The computer-implemented method also includes computing, by the processor, a first plurality of predicted values based on the time-series data input by the user; computing, by the processor, a second plurality of predicted values by. The computer-implemented method also includes determining estimated time-series data based on the time-series data input by the user. The computer-implemented method also includes computing the second plurality of predicted values based on the estimated time-series data.
    Type: Application
    Filed: April 28, 2017
    Publication date: November 1, 2018
    Inventors: Hung-Yang Chang, James V. Codella, Subhro Das
  • Publication number: 20180314805
    Abstract: Embodiments of technical solutions are described for a health management system that facilitates adaptively tracking a health-management goal. An example computer-implemented method includes receiving a cumulative target for a predetermined duration for a user, and generating a target activity time-series for the predetermined duration to meet the cumulative target. The method further includes receiving a user-activity time-series for the user that indicates activity performed by the user to meet the cumulative target and monitoring a difference between the target activity time-series and the user-activity time-series. The method further includes determining, based on the difference, a probability value that indicates the user missing the cumulative target, and generating an updated target activity time-series for the user in response to the probability value being above a predetermined threshold.
    Type: Application
    Filed: April 26, 2017
    Publication date: November 1, 2018
    Inventors: Hung-Yang Chang, Ching-Hua Chen, Zhiguo Li, Kun Lin
  • Publication number: 20180066950
    Abstract: Disclosed is a computer-implemented method for recommending booths-to-visit to a user, comprising the following steps: accessing a user record, wherein the user record includes data indicative of booths which a user corresponding to the user record has visited in an exhibition; determining similarity level between records in a history database and the user record, the records in the history database including data indicative of the booths visited by previous visitors in the exhibition; selecting one of the records according to the determined similarity level; determining the booths in the selected record not yet visited by the user; obtaining the user's current location in the exhibition; determining a target booth, from the booths not yet visited by the user, by referring to the current location and a map database; and sending to the user a message indicative of the target booth.
    Type: Application
    Filed: October 31, 2017
    Publication date: March 8, 2018
    Inventors: Hung-Yang Chang, Li-Ju Chen, Chia-Wen Ho, Kuo-shu Luo, Yi-Chang Molly Wang
  • Patent number: 9880018
    Abstract: Disclosed is a computer-implemented method for recommending booths-to-visit to a user. The method includes: accessing a map database of an exhibition; accessing a history database that stores a plurality of records indicative of booths visited by a previous visitor in the exhibition; accessing a user record that includes data indicative of the booths which the user has visited; determining similarity level between each record in the history database and the user record, selecting one of the records according to the determined similarity level so as for the selected record to function as a reference record, usable to determine the booths not yet visited by the user; obtaining the user's current location in the exhibition, and determining a target booth, from the booths not yet visited by the user, by referring to the current location and the map database; and sending to the user a message indicative of the target booth.
    Type: Grant
    Filed: December 25, 2014
    Date of Patent: January 30, 2018
    Assignees: INTERNATIONAL BUSINESS MACHINES CORPORATION, INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE
    Inventors: Hung-Yang Chang, Li-Ju Chen, Chia-Wen Ho, Kuo-shu Luo, Yi-Chang Molly Wang
  • Publication number: 20170351832
    Abstract: Individual health vulnerability is assessed by obtaining health risk prevalence level data containing health risk prevalence levels for one or more health risks over a given geographical area. The health risk prevalence level data to generate for each health risk a prevalence level forecast as a function of time and location. A health risk prevalence level map is generated for the given geographical area illustrating current and future health risk prevalence levels for each health risk at a plurality of locations within the given geographical area. Personal health status data are obtained for a given individual along with a proposed travel itinerary f covering at least a portion of the geographical area over a given time duration. The personal health status data, travel itinerary and map generate a personal health risk vulnerability model containing a quantification of vulnerability to the one or more health risks resulting from the travel itinerary.
    Type: Application
    Filed: June 1, 2016
    Publication date: December 7, 2017
    Inventors: Amos CAHAN, Hung-yang CHANG, Ning LI, Fei LIU, Qiqing Christine OUYANG, Yajuan WANG