Patents by Inventor Lik Wong

Lik Wong 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: 11232133
    Abstract: Techniques are described for characterizing and summarizing seasonal patterns detected within a time series. According to an embodiment, a set of time series data is analyzed to identify a plurality of instances of a season, where each instance corresponds to a respective sub-period within the season. A first set of instances from the plurality of instances are associated with a particular class of seasonal pattern. After classifying the first set of instances, a second set of instances may remain unclassified or otherwise may not be associated with the particular class of seasonal pattern. Based on the first and second set of instances, a summary may be generated that identifies one or more stretches of time that are associated with the particular class of seasonal pattern. The one or more stretches of time may span at least one sub-period corresponding to at least one instance in the second set of instances.
    Type: Grant
    Filed: March 29, 2019
    Date of Patent: January 25, 2022
    Assignee: Oracle International Corporation
    Inventors: Dustin Garvey, Uri Shaft, Lik Wong, Amit Ganesh
  • Publication number: 20210406252
    Abstract: Techniques are provided for processing a database command in a sharded database. The processing of the database command may include generating or otherwise accessing a shard key expression, and evaluating the shard key expression to identify one or more target shards that contain data used to execute the database command.
    Type: Application
    Filed: September 13, 2021
    Publication date: December 30, 2021
    Inventors: Lik Wong, Leonid Novak, Douglas N. Surber, Ilesh Garish, Saurabh Verma, Wei Ming Hu, Mark Dilman, Jean de Lavarene
  • Patent number: 11151124
    Abstract: Techniques are provided for processing a database command in a sharded database. The processing of the database command may include generating or otherwise accessing a shard key expression, and evaluating the shard key expression to identify one or more target shards that contain data used to execute the database command.
    Type: Grant
    Filed: September 9, 2019
    Date of Patent: October 19, 2021
    Assignee: Oracle International Corporation
    Inventors: Lik Wong, Leonid Novak, Douglas N. Surber, Ilesh Garish, Saurabh Verma, Wei Ming Hu, Mark Dilman, Jean de Lavarene
  • Patent number: 11080906
    Abstract: Techniques are described for generating period profiles. According to an embodiment, a set of time series data is received, where the set of time series data includes data spanning a plurality of time windows having a seasonal period. Based at least in part on the set of time-series data, a first set of sub-periods of the seasonal period is associated with a particular class of seasonal pattern. A profile for a seasonal period that identifies which sub-periods of the seasonal period are associated with the particular class of seasonal pattern is generated and stored, in volatile or non-volatile storage. Based on the profile, a visualization is generated for at least one sub-period of the first set of sub-periods of the seasonal period that indicates that the at least one sub-period is part of the particular class of seasonal pattern.
    Type: Grant
    Filed: April 27, 2020
    Date of Patent: August 3, 2021
    Assignee: Oracle International Corporation
    Inventors: Dustin Garvey, Uri Shaft, Lik Wong, Maria Kaval
  • Publication number: 20210183120
    Abstract: Techniques are described for automatically detecting and accommodating state changes in a computer-generated forecast. In one or more embodiments, a representation of a time-series signal is generated within volatile and/or non-volatile storage of a computing device. The representation may be generated in such a way as to approximate the behavior of the time-series signal across one or more seasonal periods. Once generated, a set of one or more state changes within the representation of the time-series signal is identified. Based at least in part on at least one state change in the set of one or more state changes, a subset of values from the sequence of values is selected to train a model. An analytical output is then generated, within volatile and/or non-volatile storage of the computing device, using the trained model.
    Type: Application
    Filed: February 26, 2021
    Publication date: June 17, 2021
    Applicant: Oracle International Corporation
    Inventors: Dustin Garvey, Uri Shaft, Sampanna Shahaji Salunke, Lik Wong
  • Patent number: 10970186
    Abstract: Techniques are described for modeling variations in correlation to facilitate analytic operations. In one or more embodiments, at least one computing device receives first metric data that tracks a first metric for a first target resource and second metric data that tracks a second metric for a second target resource. In response to receiving the first metric data and the second metric data, the at least one computing device generates a time-series of correlation values that tracks correlation between the first metric and the second metric over time. Based at least in part on the time-series of correlation data, an expected correlation is determined and compared to an observed correlation. If the observed correlation falls outside of a threshold range or otherwise does not satisfy the expected correlation, then an alert and/or other output may be generated.
    Type: Grant
    Filed: December 7, 2018
    Date of Patent: April 6, 2021
    Assignee: Oracle International Corporation
    Inventors: Sampanna Salunke, Dustin Garvey, Uri Shaft, Lik Wong
  • Patent number: 10970891
    Abstract: Techniques are described for automatically detecting and accommodating state changes in a computer-generated forecast. In one or more embodiments, a representation of a time-series signal is generated within volatile and/or non-volatile storage of a computing device. The representation may be generated in such a way as to approximate the behavior of the time-series signal across one or more seasonal periods. Once generated, a set of one or more state changes within the representation of the time-series signal is identified. Based at least in part on at least one state change in the set of one or more state changes, a subset of values from the sequence of values is selected to train a model. An analytical output is then generated, within volatile and/or non-volatile storage of the computing device, using the trained model.
    Type: Grant
    Filed: September 15, 2016
    Date of Patent: April 6, 2021
    Assignee: Oracle International Corporation
    Inventors: Dustin Garvey, Uri Shaft, Sampanna Shahaji Salunke, Lik Wong
  • Publication number: 20210073208
    Abstract: Techniques are provided for processing a database command in a sharded database. The processing of the database command may include generating or otherwise accessing a shard key expression, and evaluating the shard key expression to identify one or more target shards that contain data used to execute the database command.
    Type: Application
    Filed: September 9, 2019
    Publication date: March 11, 2021
    Inventors: Lik Wong, Leonid Novak, Douglas N. Surber, Ilesh Garish, Saurabh Verma, Wei Ming Hu, Mark Dilman, Jean de Lavarene
  • Publication number: 20210027504
    Abstract: Techniques are described for generating seasonal forecasts. According to an embodiment, a set of time-series data is associated with one or more classes, which may include a first class that represent a dense pattern that repeats over multiple instances of a season in the set of time-series data and a second class that represent another pattern that repeats over multiple instances of the season in the set of time-series data. A particular class of data is associated with at least two sub-classes of data, where a first sub-class represents high data points from the first class, and a second sub-class represents another set of data points from the first class. A trend rate is determined for a particular sub-class. Based at least in part on the trend rate, a forecast is generated.
    Type: Application
    Filed: September 30, 2020
    Publication date: January 28, 2021
    Applicant: Oracle International Corporation
    Inventors: Dustin Garvey, Uri Shaft, Edwina Ming-Yue Lu, Sampanna Shahaji Salunke, Lik Wong
  • Patent number: 10885461
    Abstract: Techniques are described for classifying seasonal patterns in a time series. In an embodiment, a set of time series data is decomposed to generate a noise signal and a dense signal, where the noise signal includes a plurality of sparse features from the set of time series data and the dense signal includes a plurality of dense features from the set of time series data. A set of one or more sparse features from the noise signal is selected for retention. After selecting the sparse features, a modified set of time series data is generated by combining the set of one or more sparse features with a set of one or more dense features from the plurality of dense features. At least one seasonal pattern is identified from the modified set of time series data. A summary for the seasonal pattern may then be generated and stored.
    Type: Grant
    Filed: February 29, 2016
    Date of Patent: January 5, 2021
    Assignee: Oracle International Corporation
    Inventors: Dustin Garvey, Uri Shaft, Lik Wong
  • Patent number: 10867421
    Abstract: Techniques are described for generating seasonal forecasts. According to an embodiment, a set of time-series data is associated with one or more classes, which may include a first class that represent a dense pattern that repeats over multiple instances of a season in the set of time-series data and a second class that represent another pattern that repeats over multiple instances of the season in the set of time-series data. A particular class of data is associated with at least two sub-classes of data, where a first sub-class represents high data points from the first class, and a second sub-class represents another set of data points from the first class. A trend rate is determined for a particular sub-class. Based at least in part on the trend rate, a forecast is generated.
    Type: Grant
    Filed: September 15, 2016
    Date of Patent: December 15, 2020
    Assignee: Oracle International Corporation
    Inventors: Dustin Garvey, Uri Shaft, Edwina Ming-Yue Lu, Sampanna Shahaji Salunke, Lik Wong
  • Publication number: 20200327708
    Abstract: Techniques are described for generating period profiles. According to an embodiment, a set of time series data is received, where the set of time series data includes data spanning a plurality of time windows having a seasonal period. Based at least in part on the set of time-series data, a first set of sub-periods of the seasonal period is associated with a particular class of seasonal pattern. A profile for a seasonal period that identifies which sub-periods of the seasonal period are associated with the particular class of seasonal pattern is generated and stored, in volatile or non-volatile storage. Based on the profile, a visualization is generated for at least one sub-period of the first set of sub-periods of the seasonal period that indicates that the at least one sub-period is part of the particular class of seasonal pattern.
    Type: Application
    Filed: April 27, 2020
    Publication date: October 15, 2020
    Applicant: Oracle International Corporation
    Inventors: Dustin Garvey, Uri Shaft, Lik Wong, Maria Kaval
  • Patent number: 10767305
    Abstract: The present application relates to a steam iron (10) for ironing garments. The steam iron (10) comprises a steam generator (11), an ironing plate (13) and a thermal bridge arrangement (14). The steam generator (11) comprises a main body (11A) and a heating element (12) to heat the main body (11 A). The thermal bridge arrangement (14) extends between the main body (11A) and a thermal coupling area (15) of the ironing plate (13) to heat the ironing plate (13) by conduction of heat from the main body (11A). The thermal bridge arrangement (14) comprises a first portion (16) extending in a first direction (A) away from the thermal coupling area (15) and a second portion (17) extending in a second direction (B) towards the thermal coupling area (15). This invention allows promoting steam generation operating in a high temperature for a better steam capability, while keeping a lower temperature of the ironing plate which prevents damaging garments during ironing.
    Type: Grant
    Filed: May 2, 2017
    Date of Patent: September 8, 2020
    Assignee: KONINKLIJKE PHILIPS N.V.
    Inventors: William Wai Lik Wong, Ruben Arnold Herman Reekers
  • Publication number: 20200258005
    Abstract: Techniques are described for classifying seasonal patterns in a time series. In an embodiment, a set of time series data is decomposed to generate a noise signal and a dense signal, where the noise signal includes a plurality of sparse features from the set of time series data and the dense signal includes a plurality of dense features from the set of time series data. A set of one or more sparse features from the noise signal is selected for retention. After selecting the sparse features, a modified set of time series data is generated by combining the set of one or more sparse features with a set of one or more dense features from the plurality of dense features. At least one seasonal pattern is identified from the modified set of time series data. A summary for the seasonal pattern may then be generated and stored.
    Type: Application
    Filed: April 29, 2020
    Publication date: August 13, 2020
    Applicant: Oracle International Corporation
    Inventors: Dustin Garvey, Uri Shaft, Lik Wong
  • Patent number: 10733528
    Abstract: Techniques are described for classifying seasonal patterns in a time series. In an embodiment, a set of time series data is decomposed to generate a noise signal and a dense signal, where the noise signal includes a plurality of sparse features from the set of time series data and the dense signal includes a plurality of dense features from the set of time series data. A set of one or more sparse features from the noise signal is selected for retention. After selecting the sparse features, a modified set of time series data is generated by combining the set of one or more sparse features with a set of one or more dense features from the plurality of dense features. At least one seasonal pattern is identified from the modified set of time series data. A summary for the seasonal pattern may then be generated and stored.
    Type: Grant
    Filed: February 29, 2016
    Date of Patent: August 4, 2020
    Assignee: Oracle International Corporation
    Inventors: Dustin Garvey, Uri Shaft, Lik Wong
  • Patent number: 10699211
    Abstract: Techniques are described for classifying seasonal patterns in a time series. In an embodiment, a set of time series data is decomposed to generate a noise signal and a dense signal. Based on the noise signal, a first classification is generated for a plurality of seasonal instances within the set of time series data, where each respective instance of the plurality of instances corresponds to a respective sub-period within the season and the first classification associates a first set of one or more instances from the plurality of instances with a particular class of seasonal pattern. Based on the dense signal, a second classification is generated that associates a second set of one or more instances with the particular class. Based on the first classification and the second classification, a third classification is generated, where the third classification associates a third set of one or more instances with the particular class.
    Type: Grant
    Filed: February 29, 2016
    Date of Patent: June 30, 2020
    Assignee: Oracle International Corporation
    Inventors: Dustin Garvey, Uri Shaft, Lik Wong
  • Patent number: 10692255
    Abstract: Techniques are described for generating period profiles. According to an embodiment, a set of time series data is received, where the set of time series data includes data spanning a plurality of time windows having a seasonal period. Based at least in part on the set of time-series data, a first set of sub-periods of the seasonal period is associated with a particular class of seasonal pattern. A profile for a seasonal period that identifies which sub-periods of the seasonal period are associated with the particular class of seasonal pattern is generated and stored, in volatile or non-volatile storage. Based on the profile, a visualization is generated for at least one sub-period of the first set of sub-periods of the seasonal period that indicates that the at least one sub-period is part of the particular class of seasonal pattern.
    Type: Grant
    Filed: September 27, 2018
    Date of Patent: June 23, 2020
    Assignee: Oracle International Corporation
    Inventors: Dustin Garvey, Uri Shaft, Lik Wong, Maria Kaval
  • Patent number: 10678601
    Abstract: Techniques are described for orchestrating execution of multi-step recipes. In an embodiment, a method comprises receiving a request to execute a recipe specification that defines a sequence of steps to execute for a particular recipe; responsive to receiving the request to execute the recipe specification, instantiating a set of one or more recipe-level processes; wherein each recipe-level process in the set of one or more recipe-level processes manages execution of a respective instance of the particular recipe; triggering, by each recipe-level process for the respective instance of the particular recipe managed by the recipe-level process, execution of the sequence of steps; wherein triggering execution of at least one step in the sequence of steps by a recipe-level process comprises instantiating, by the recipe-level process, a plurality of step-level processes to execute the step on a plurality of target resources in parallel.
    Type: Grant
    Filed: May 14, 2018
    Date of Patent: June 9, 2020
    Assignee: Oracle International Corporation
    Inventors: Lik Wong, Girish Balachandran, Shravan Kumar Shivanagari, Taylor Gautier
  • Patent number: 10678808
    Abstract: Techniques are provided for eager replication of uncommitted transactions. In embodiments, a replication client receives, in a data stream, change records corresponding to database changes applied to a source database in a transaction. The change records does not include a commit record that indicates that the transaction is committed on the source database. Before receiving the commit record, the replication client computes transaction dependency data based on the change records and detects, based on the transaction dependency data, that the transaction can be at least partially applied to a target database. Also before receiving the commit record, the replication client applies, to a target database and based on the detecting, at least some of the change records. Upon receiving the commit record of the transaction, the replication client completes applying the change records and commits the transaction on the target database.
    Type: Grant
    Filed: August 31, 2017
    Date of Patent: June 9, 2020
    Assignee: Oracle International Corporation
    Inventors: Edwina Ming-Yue Lu, Nimar Singh Arora, Lik Wong
  • Patent number: 10621005
    Abstract: Techniques are described herein for providing highly available and scalable cloud services. In one or more embodiments, a network service receives from a first client of a plurality of clients, a request to lease a first slice of a plurality of slices of a workload. In response, the network services assigning, to the first client, a lease for the first slice, wherein the lease expires after a lease duration. The network service then receives, from a second client of the plurality of clients, a request to lease the first slice. Based on a state associated with the first client after the lease duration, the network service reassigns the lease for the first slice to the second client. The second client processes a subset of workflow executions associated with the first slice that have not previously been processed by the first client.
    Type: Grant
    Filed: May 3, 2018
    Date of Patent: April 14, 2020
    Assignee: Oracle International Corporation
    Inventors: Lik Wong, Girish Kumar Balachandran, Taylor Scott Gautier, Shravan Kumar Shivanagari, Sr.