Patents by Inventor Ashutosh Mehra

Ashutosh Mehra 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: 11106579
    Abstract: A method and system for self-regulating memory of a JAVA virtual machine optimizes memory use by the JVM and by an operating system. A computer running a garbage collector extension monitors and records free committed memory of the JVM at predetermined intervals over time to define a historical record. The computer calculates an average allocation of the free committed memory in the historical record over predetermined intervals. An allocation rate is determined, wherein the allocation rate is based on the average allocation over the predetermined intervals. The computer calculates an estimated time to exhaust committed memory based on free committed heap memory and the allocation rate. Memory is recovered from the operating system if the time to exhaust committed memory is below a first predetermined threshold value and is released to the operating system when said time to exhaust committed memory is above a second predetermined threshold value.
    Type: Grant
    Filed: November 26, 2019
    Date of Patent: August 31, 2021
    Assignee: International Business Machines Corporation
    Inventors: Dinakar Guniguntala, Ashutosh Mehra, Parameswaran Selvam
  • Publication number: 20210133439
    Abstract: Various disclosed embodiments can resolve output inaccuracies produced by many machine learning models. Embodiments use content order as input to machine learning model systems so that they can process documents according to the position or rank of instances in a document or image. In this way, the model is less likely to misclassify or incorrectly detect instances or the ordering between predicted instances. The content order in various embodiments can be used as an additional signal to classify or make predictions.
    Type: Application
    Filed: October 30, 2019
    Publication date: May 6, 2021
    Inventors: Ashutosh Mehra, Vlad Ion Morariu, Kajal Gupta, Jayant Vaibhav Srivastava, Curtis Michael Wigington, Tushar Tiwari
  • Publication number: 20210117667
    Abstract: Techniques are disclosed for identifying document structural elements and correcting errors in the classification and/or location of the identified structural elements. An example method includes determining location and classification for a structural element on a page of the document using a machine learning (ML) model; determining one or more errors in the location and/or classification for the structural element; and correcting each instance of the one or more errors using other content in the document (e.g., content spatially adjacent to the corresponding structural element on the page of the document). The method may further include storing the document and the location and classification (as corrected), and/or generating a structural map of the page of the document based on the location and classification (as corrected). The use of the document content to correct errors greatly enhances the agreement between the identified structural elements and the original document.
    Type: Application
    Filed: October 17, 2019
    Publication date: April 22, 2021
    Applicant: Adobe Inc.
    Inventors: Ashutosh Mehra, Md Nadeem Akhtar, Pranav Kumar
  • Publication number: 20210110153
    Abstract: Techniques described herein implement heading identification and classification for a digital document in a digital medium environment. A document analysis system is leveraged to extract structural features from a digital document, identify heading candidates from among the structural features, validate the headings candidates, and classify validated headings into different headings types. The classified headings are then utilized to generate a sectioned version of the digital document (“sectioned document”) that is divided into different sections based on the headings. Further, a document directory is generated that includes the headings and that enables navigation to different sections of the sectioned document.
    Type: Application
    Filed: October 9, 2019
    Publication date: April 15, 2021
    Applicant: Adobe Inc.
    Inventors: Mohit Gupta, Uttam Dwivedi, Shawn Alan Gaither, Jayant Vaibhav Srivastava, Ashutosh Mehra
  • Patent number: 10956731
    Abstract: Techniques described herein implement heading identification and classification for a digital document in a digital medium environment. A document analysis system is leveraged to extract structural features from a digital document, identify heading candidates from among the structural features, validate the headings candidates, and classify validated headings into different headings types. The classified headings are then utilized to generate a sectioned version of the digital document (“sectioned document”) that is divided into different sections based on the headings. Further, a document directory is generated that includes the headings and that enables navigation to different sections of the sectioned document.
    Type: Grant
    Filed: October 9, 2019
    Date of Patent: March 23, 2021
    Assignee: Adobe Inc.
    Inventors: Mohit Gupta, Uttam Dwivedi, Shawn Alan Gaither, Jayant Vaibhav Srivastava, Ashutosh Mehra
  • Patent number: 10949604
    Abstract: Techniques described herein implement identifying artifacts in digital documents in a digital medium environment. A document analysis system is leveraged to extract page features from a digital document and to determine whether certain page features represent page artifacts such as headers and footers. Those page features determined to be page artifacts can be extracted from the digital document to generate a reflowed version of the digital document that preserves primary content. The primary content, for instance, is rearranged in the reflowed document to compensate for the extracted page artifacts.
    Type: Grant
    Filed: October 25, 2019
    Date of Patent: March 16, 2021
    Assignee: Adobe Inc.
    Inventors: Uttam Dwivedi, Mohit Gupta, Ashutosh Mehra
  • Publication number: 20200102704
    Abstract: A method and system for self-regulating memory of a JAVA virtual machine optimizes memory use by the JVM and by an operating system. A computer running a garbage collector extension monitors and records free committed memory of the JVM at predetermined intervals over time to define a historical record. The computer calculates an average allocation of the free committed memory in the historical record over predetermined intervals. An allocation rate is determined, wherein the allocation rate is based on the average allocation over the predetermined intervals. The computer calculates an estimated time to exhaust committed memory based on free committed heap memory and the allocation rate. Memory is recovered from the operating system if the time to exhaust committed memory is below a first predetermined threshold value and is released to the operating system when said time to exhaust committed memory is above a second predetermined threshold value.
    Type: Application
    Filed: November 26, 2019
    Publication date: April 2, 2020
    Inventors: Dinakar Guniguntala, Ashutosh Mehra, Parameswaran Selvam
  • Patent number: 10565104
    Abstract: A method and system for self-regulating memory of a JAVA virtual machine optimizes memory use by the JVM and by an operating system. A computer running a garbage collector extension monitors and records free committed memory of the JVM at predetermined intervals over time to define a historical record. The computer calculates an average allocation of the free committed memory in the historical record over predetermined intervals. An allocation rate is determined, wherein the allocation rate is based on the average allocation over the predetermined intervals. The computer calculates an estimated time to exhaust committed memory based on free committed heap memory and the allocation rate. Memory is recovered from the operating system if the time to exhaust committed memory is below a first predetermined threshold value and is released to the operating system when said time to exhaust committed memory is above a second predetermined threshold value.
    Type: Grant
    Filed: August 1, 2017
    Date of Patent: February 18, 2020
    Assignee: International Business Machines Corporation
    Inventors: Dinakar Guniguntala, Ashutosh Mehra, Parameswaran Selvam
  • Publication number: 20190042406
    Abstract: A method and system for self-regulating memory of a JAVA virtual machine optimizes memory use by the JVM and by an operating system. A computer running a garbage collector extension monitors and records free committed memory of the JVM at predetermined intervals over time to define a historical record. The computer calculates an average allocation of the free committed memory in the historical record over predetermined intervals. An allocation rate is determined, wherein the allocation rate is based on the average allocation over the predetermined intervals. The computer calculates an estimated time to exhaust committed memory based on free committed heap memory and the allocation rate. Memory is recovered from the operating system if the time to exhaust committed memory is below a first predetermined threshold value and is released to the operating system when said time to exhaust committed memory is above a second predetermined threshold value.
    Type: Application
    Filed: August 1, 2017
    Publication date: February 7, 2019
    Inventors: Dinakar Guniguntala, Ashutosh Mehra, Parameswaran Selvam
  • Patent number: 8499010
    Abstract: Garbage collection processes are automatically tuned on a system comprising a plurality of virtual machines running on a physical processing device with multiple physical processors. Tuning is implemented for each garbage collection process, by updating a load variable to reflect that a new garbage collection process has started, the load variable having a value that is based at least in part on a number of garbage collection processes that are currently running on the system. Tuning further comprises creating a number of garbage collection threads based at least in part on the current value of the load variable and/or number of processors, where the garbage collection threads are used to perform at least a portion of at least one phase of the new garbage collection process. Tuning further comprises re-updating the load variable to reflect completion of the new garbage collection process.
    Type: Grant
    Filed: December 22, 2010
    Date of Patent: July 30, 2013
    Assignee: International Business Machines Corporation
    Inventors: Charles R. Gracie, Andrew R. Low, Ashutosh Mehra, Prashanth K. Nageshappa
  • Publication number: 20120166498
    Abstract: Garbage collection processes are automatically tuned on a system comprising a plurality of virtual machines running on a physical processing device with multiple physical processors. Tuning is implemented for each garbage collection process, by updating a load variable to reflect that a new garbage collection process has started, the load variable having a value that is based at least in part on a number of garbage collection processes that are currently running on the system. Tuning further comprises creating a number of garbage collection threads based at least in part on the current value of the load variable and/or number of processors, where the garbage collection threads are used to perform at least a portion of at least one phase of the new garbage collection process. Tuning further comprises re-updating the load variable to reflect completion of the new garbage collection process.
    Type: Application
    Filed: December 22, 2010
    Publication date: June 28, 2012
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Charles R. Gracie, Andrew R. Low, Ashutosh Mehra, Prashanth K. Nageshappa