Patents by Inventor Fook-Luen Heng

Fook-Luen Heng 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: 20200304376
    Abstract: A method, system, and computer program product to manage a network comprising a plurality of interconnected components are described. The method includes obtaining a set of all the components that are part of the network over time, and identifying one or more repeating patterns of components among the set of all the components as corresponding lower-level definitions to generate a hierarchical set of all the components. The method also includes obtaining time-varying information regarding topology and operational values within the network, and creating a representation of the network at a set of times based on the hierarchical set of all the components and the time-varying information.
    Type: Application
    Filed: February 25, 2020
    Publication date: September 24, 2020
    Applicant: Utopus Insights, Inc.
    Inventors: Ulrich A. Finkler, Fook-Luen Heng, Steven N. Hirsch, Mark A. Lavin, Jun Mei Qu, Amith Singhee, Wei Wu
  • Publication number: 20200111020
    Abstract: A method, system, and computer program product for resource management are described. The method includes selecting trouble regions within the service area, generating clustered regions, and training a trouble forecast model for the trouble regions for each type of damage, the training for each trouble region using training data from every trouble region within the clustered region associated with the trouble region. The method also includes applying the trouble forecast model for each trouble region within the service area for each type of damage, determining a trouble forecast for the service area for each type of damage based on the trouble forecast for each of the trouble regions within the service area, and determining a job forecast for the service area based on the trouble forecast for the service area, wherein the managing resources is based on the job forecast for the service area.
    Type: Application
    Filed: August 20, 2019
    Publication date: April 9, 2020
    Inventors: Fook-Luen Heng, Zhiguo Li, Stuart A. Siegel, Amith Singhee, Haijing Wang
  • Patent number: 10574533
    Abstract: A method, system, and computer program product to manage a network comprising a plurality of interconnected components are described. The method includes obtaining a set of all the components that are part of the network over time, and identifying one or more repeating patterns of components among the set of all the components as corresponding lower-level definitions to generate a hierarchical set of all the components. The method also includes obtaining time-varying information regarding topology and operational values within the network, and creating a representation of the network at a set of times based on the hierarchical set of all the components and the time-varying information.
    Type: Grant
    Filed: January 30, 2018
    Date of Patent: February 25, 2020
    Assignee: Utopus Insights, Inc.
    Inventors: Ulrich A. Finkler, Fook-Luen Heng, Steven N. Hirsch, Mark A. Lavin, Jun Mei Qu, Amith Singhee, Wei Wu
  • Patent number: 10521525
    Abstract: Embodiments herein relate to improving a stochastic forecast for uncertain power generations and demands to quantify an effect on an electrical power grid. To improve the stochastic forecast, a method includes fitting marginal distributions to data of the uncertain power generation and demand by power generation and demand nodes of the electrical power grid. The power generation and demand nodes provide corresponding uncertain power generation and demand based on a renewable energy source. The method also includes determining a correlation structure between the power generation and demand nodes by transforming the data from marginal distributions to a second distribution and by fitting a multivariate time series on transformed data. The method also includes simulating multivariate stochastic forecast with an improved correlation structure.
    Type: Grant
    Filed: January 23, 2017
    Date of Patent: December 31, 2019
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Aanchal Goyal, Fook-Luen Heng, Younghun Kim, Tarun Kumar, Mark A. Lavin, Srivats Shukla, Wander S. Wadman, Kevin Warren
  • Patent number: 10387802
    Abstract: A method, system, and computer program product for resource management are described. The method includes selecting trouble regions within the service area, generating clustered regions, and training a trouble forecast model for the trouble regions for each type of damage, the training for each trouble region using training data from every trouble region within the clustered region associated with the trouble region. The method also includes applying the trouble forecast model for each trouble region within the service area for each type of damage, determining a trouble forecast for the service area for each type of damage based on the trouble forecast for each of the trouble regions within the service area, and determining a job forecast for the service area based on the trouble forecast for the service area, wherein the managing resources is based on the job forecast for the service area.
    Type: Grant
    Filed: October 7, 2016
    Date of Patent: August 20, 2019
    Assignee: Utopus Insights, Inc.
    Inventors: Fook-Luen Heng, Zhiguo Li, Stuart A. Siegel, Amith Singhee, Haijing Wang
  • Publication number: 20190036784
    Abstract: A method, system, and computer program product to manage a network comprising a plurality of interconnected components are described. The method includes obtaining a set of all the components that are part of the network over time, and identifying one or more repeating patterns of components among the set of all the components as corresponding lower-level definitions to generate a hierarchical set of all the components. The method also includes obtaining time-varying information regarding topology and operational values within the network, and creating a representation of the network at a set of times based on the hierarchical set of all the components and the time-varying information.
    Type: Application
    Filed: January 30, 2018
    Publication date: January 31, 2019
    Applicant: Utopus Insights, Inc.
    Inventors: Ulrich A. Finkler, Fook-Luen Heng, Steven N. Hirsch, Mark A. Lavin, Jun Mei Qu, Amith Singhee, Wei Wu
  • Publication number: 20180210976
    Abstract: Embodiments herein relate to improving a stochastic forecast for uncertain power generations and demands to quantify an effect on an electrical power grid. To improve the stochastic forecast, a method includes fitting marginal distributions to data of the uncertain power generation and demand by power generation and demand nodes of the electrical power grid. The power generation and demand nodes provide corresponding uncertain power generation and demand based on a renewable energy source. The method also includes determining a correlation structure between the power generation and demand nodes by transforming the data from marginal distributions to a second distribution and by fitting a multivariate time series on transformed data. The method also includes simulating multivariate stochastic forecast with an improved correlation structure.
    Type: Application
    Filed: January 23, 2017
    Publication date: July 26, 2018
    Inventors: Aanchal Goyal, Fook-Luen Heng, Younghun Kim, Tarun Kumar, Mark A. Lavin, Srivats Shukla, Wander S. Wadman, Kevin Warren
  • Patent number: 9893948
    Abstract: A method, system, and computer program product to manage a network comprising a plurality of interconnected components are described. The method includes obtaining a set of all the components that are part of the network over time, and identifying one or more repeating patterns of components among the set of all the components as corresponding lower-level definitions to generate a hierarchical set of all the components. The method also includes obtaining time-varying information regarding topology and operational values within the network, and creating a representation of the network at a set of times based on the hierarchical set of all the components and the time-varying information.
    Type: Grant
    Filed: September 17, 2015
    Date of Patent: February 13, 2018
    Assignee: Utopus Insights, Inc.
    Inventors: Ulrich A. Finkler, Fook-Luen Heng, Steven N. Hirsch, Mark A. Lavin, Jun Mei Qu, Amith Singhee, Wei Wu
  • Patent number: 9882782
    Abstract: A method, system, and computer program product to manage a network comprising a plurality of interconnected components are described. The method includes obtaining a set of all the components that are part of the network over time, and identifying one or more repeating patterns of components among the set of all the components as corresponding lower-level definitions to generate a hierarchical set of all the components. The method also includes obtaining time-varying information regarding topology and operational values within the network, and creating a representation of the network at a set of times based on the hierarchical set of all the components and the time-varying information.
    Type: Grant
    Filed: November 24, 2015
    Date of Patent: January 30, 2018
    Assignee: Utopus Insights, Inc.
    Inventors: Ulrich A. Finkler, Fook-Luen Heng, Steven N. Hirsch, Mark A. Lavin, Jun Mei Qu, Amith Singhee, Wei Wu
  • Publication number: 20170308796
    Abstract: A system for forecasting leaks in a fluid-delivery pipeline network. The system identifies a subsystem in the pipeline network that comprises a plurality of topologically connected stations. The system accesses historical temporal sensor measurements of a plurality of variables of the stations that are directly connected and generates a temporal causal dependency model for a first control variable at the first station in the subsystem, based on the plurality of time series of sensor measurements of a second variable of the first station, and temporal delay characteristics of the plurality of time series of sensor measurements of the second variable at the stations directly connected to the first station. The system automatically calculates a normal operating value of the first control variable at the first station and the deviations between actual measured values and the normal operating value and determines a threshold deviation that indicates a leak event.
    Type: Application
    Filed: April 21, 2016
    Publication date: October 26, 2017
    Inventors: Fook-Luen Heng, Jefferson Huang, Tarun Kumar, Rui Zhang
  • Publication number: 20170017904
    Abstract: A method, system, and computer program product for resource management are described. The method includes selecting trouble regions within the service area, generating clustered regions, and training a trouble forecast model for the trouble regions for each type of damage, the training for each trouble region using training data from every trouble region within the clustered region associated with the trouble region. The method also includes applying the trouble forecast model for each trouble region within the service area for each type of damage, determining a trouble forecast for the service area for each type of damage based on the trouble forecast for each of the trouble regions within the service area, and determining a job forecast for the service area based on the trouble forecast for the service area, wherein the managing resources is based on the job forecast for the service area.
    Type: Application
    Filed: October 7, 2016
    Publication date: January 19, 2017
    Inventors: Fook-Luen Heng, Zhiguo Li, Stuart A. Siegel, Amith Singhee, Haijing Wang
  • Patent number: 9536214
    Abstract: A method, system, and computer program product for resource management are described. The method includes selecting trouble regions within the service area, generating clustered regions, and training a trouble forecast model for the trouble regions for each type of damage, the training for each trouble region using training data from every trouble region within the clustered region associated with the trouble region. The method also includes applying the trouble forecast model for each trouble region within the service area for each type of damage, determining a trouble forecast for the service area for each type of damage based on the trouble forecast for each of the trouble regions within the service area, and determining a job forecast for the service area based on the trouble forecast for the service area, wherein the managing resources is based on the job forecast for the service area.
    Type: Grant
    Filed: March 21, 2016
    Date of Patent: January 3, 2017
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Fook-Luen Heng, Zhiguo Li, Stuart A. Siegel, Amith Singhee, Haijing Wang
  • Publication number: 20160307138
    Abstract: A method, system, and computer program product for resource management are described. The method includes selecting trouble regions within the service area, generating clustered regions, and training a trouble forecast model for the trouble regions for each type of damage, the training for each trouble region using training data from every trouble region within the clustered region associated with the trouble region. The method also includes applying the trouble forecast model for each trouble region within the service area for each type of damage, determining a trouble forecast for the service area for each type of damage based on the trouble forecast for each of the trouble regions within the service area, and determining a job forecast for the service area based on the trouble forecast for the service area, wherein the managing resources is based on the job forecast for the service area.
    Type: Application
    Filed: March 21, 2016
    Publication date: October 20, 2016
    Inventors: Fook-Luen Heng, Zhiguo Li, Stuart A. Siegel, Amith Singhee, Haijing Wang
  • Publication number: 20160306075
    Abstract: A method, system, and computer program product for resource management are described. The method includes selecting trouble regions within the service area, generating clustered regions, and training a trouble forecast model for the trouble regions for each type of damage, the training for each trouble region using training data from every trouble region within the clustered region associated with the trouble region. The method also includes applying the trouble forecast model for each trouble region within the service area for each type of damage, determining a trouble forecast for the service area for each type of damage based on the trouble forecast for each of the trouble regions within the service area, and determining a job forecast for the service area based on the trouble forecast for the service area, wherein the managing resources is based on the job forecast for the service area.
    Type: Application
    Filed: January 21, 2016
    Publication date: October 20, 2016
    Inventors: Fook-Luen Heng, Zhiguo Li, Stuart A. Siegel, Amith Singhee, Haijing Wang
  • Publication number: 20160285692
    Abstract: A method, system, and computer program product to manage a network comprising a plurality of interconnected components are described. The method includes obtaining a set of all the components that are part of the network over time, and identifying one or more repeating patterns of components among the set of all the components as corresponding lower-level definitions to generate a hierarchical set of all the components. The method also includes obtaining time-varying information regarding topology and operational values within the network, and creating a representation of the network at a set of times based on the hierarchical set of all the components and the time-varying information.
    Type: Application
    Filed: September 17, 2015
    Publication date: September 29, 2016
    Inventors: Ulrich A. Finkler, Fook-Luen Heng, Steven N. Hirsch, Mark A. Lavin, Jun Mei Qu, Amith Singhee, Wei Wu
  • Publication number: 20160285693
    Abstract: A method, system, and computer program product to manage a network comprising a plurality of interconnected components are described. The method includes obtaining a set of all the components that are part of the network over time, and identifying one or more repeating patterns of components among the set of all the components as corresponding lower-level definitions to generate a hierarchical set of all the components. The method also includes obtaining time-varying information regarding topology and operational values within the network, and creating a representation of the network at a set of times based on the hierarchical set of all the components and the time-varying information.
    Type: Application
    Filed: November 24, 2015
    Publication date: September 29, 2016
    Inventors: Ulrich A. Finkler, Fook-Luen Heng, Steven N. Hirsch, Mark A. Lavin, Jun Mei Qu, Amith Singhee, Wei Wu
  • Patent number: 8880382
    Abstract: Techniques are presented that include accessing results of forward simulations of circuit yield, the results including at least circuit yield results including simulated device shapes. Using the circuit yield results, high-level traits of at least the simulated device shapes are determined. Based on the determined high-level traits and using the circuit yield results, a compact model for predicted yield is constructed, the compact model including a plurality of adjustable parameters, and the constructing the compact model for predicted yield including adjusting the adjustable parameters until at least one first predetermined criterion is met. An optimization problem is constructed including at least the compact model for yield, an objective, and a plurality of constraints. Using the optimization problem, the objective is modified subject to the plurality of constraints until at least one second predetermined criterion is met.
    Type: Grant
    Filed: January 18, 2012
    Date of Patent: November 4, 2014
    Assignee: International Business Machines Corporation
    Inventors: Saeed Bagheri, Fook-Luen Heng, Rajiv Vasant Joshi, Kafai Lai, David Osmond Melville, Saibal Mukhopadhyay, Alan E Rosenbluth, Rama N. Singh, Kehan Tian
  • Patent number: 8682634
    Abstract: Techniques are presented that include accessing results of forward simulations of circuit yield, the results including at least circuit yield results including simulated device shapes. Using the circuit yield results, high-level traits of at least the simulated device shapes are determined. Based on the determined high-level traits and using the circuit yield results, a compact model for predicted yield is constructed, the compact model including a plurality of adjustable parameters, and the constructing the compact model for predicted yield including adjusting the adjustable parameters until at least one first predetermined criterion is met. An optimization problem is constructed including at least the compact model for yield, an objective, and a plurality of constraints. Using the optimization problem, the objective is modified subject to the plurality of constraints until at least one second predetermined criterion is met.
    Type: Grant
    Filed: September 13, 2012
    Date of Patent: March 25, 2014
    Assignee: International Business Machines Corporation
    Inventors: Saeed Bagheri, Fook-Luen Heng, Rajiv Vasant Joshi, Kafai Lai, David Osmond Melville, Saibal Mukhopadhyay, Alan E Rosenbluth, Rama N. Singh, Kehan Tian
  • Patent number: 8522173
    Abstract: A method for estimating yield of a wafer having a plurality of chips printed thereon is provided which includes the following steps. The chip design is divided into a plurality of rectangular cells. A process window is determined for each of the cells. The focus and dose values on the wafer are measured and used to determine a Gaussian random component of the focus and dose values. The focus and dose values on the wafer are represented as a sum of a systematic component of the focus and dose values and the Gaussian random component. Wafer yield is estimated based on a number of the chips for which at each point (x, y) the focus and dose values, as represented as the sum of the systematic component of the focus and dose values and the Gaussian random component, belong to a corresponding one of the process windows.
    Type: Grant
    Filed: August 21, 2012
    Date of Patent: August 27, 2013
    Assignee: International Business Machines Corporation
    Inventors: Fook-Luen Heng, Alexey Y. Lvov, Amith Singhee
  • Publication number: 20130185046
    Abstract: Techniques are presented that include accessing results of forward simulations of circuit yield, the results including at least circuit yield results including simulated device shapes. Using the circuit yield results, high-level traits of at least the simulated device shapes are determined. Based on the determined high-level traits and using the circuit yield results, a compact model for predicted yield is constructed, the compact model including a plurality of adjustable parameters, and the constructing the compact model for predicted yield including adjusting the adjustable parameters until at least one first predetermined criterion is met. An optimization problem is constructed including at least the compact model for yield, an objective, and a plurality of constraints. Using the optimization problem, the objective is modified subject to the plurality of constraints until at least one second predetermined criterion is met.
    Type: Application
    Filed: September 13, 2012
    Publication date: July 18, 2013
    Applicant: International Business Machines Corporation
    Inventors: Saeed Bagheri, Fook-Luen Heng, Rajiv Vasant Joshi, Kafai Lai, David Osmond Melville, Saibal Mukhopadhyay, Alan E. Rosenbluth, Rama N. Singh, Kehan Tian