Patents by Inventor Peter Zhong
Peter Zhong 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).
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Patent number: 11734445Abstract: In an approach for providing a document access control based on document component layouts, a processor detects a layout of a document, the layout including one or more components of the document. A processor defines an access policy to access the one or more components based on the layout. A processor authorizes a request to access the one or more components based on the access policy and the layout. A processor retrieves the one or more components based on the access policy and the authorized request.Type: GrantFiled: December 2, 2020Date of Patent: August 22, 2023Assignee: International Business Machines CorporationInventors: Peter Zhong, Antonio Jose Jimeno Yepes, Lenin Mehedy
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Patent number: 11599711Abstract: Aspects of the present invention disclose a method for automatic delineation and extraction of tabular data in portable document format (PDF). The method includes one or more processors extracting metadata corresponding to tabular data in a text-based portable document format (PDF), wherein the metadata is associated with characters and border lines of the tabular data. The method further includes generating a graph structure corresponding to the tabular data in the text-based PDF based at least in part on the metadata. The method further includes generating a vector representation of the graph structure. The method further includes constructing a tree structure corresponding to the tabular data based at least in part on the vector representation.Type: GrantFiled: December 3, 2020Date of Patent: March 7, 2023Assignee: International Business Machines CorporationInventors: Peter Zhong, Antonio Jose Jimeno Yepes
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Patent number: 11431211Abstract: A rotor assembly of an electric motor generally comprises a center shaft configured to rotate about a longitudinal axis and a plurality of spacers extending radially outward from the center shaft, the spacers fixedly attached to the center shaft. A plurality of axially stacked annular laminations are coaxially aligned with the center shaft and radially supported on an inner circumferential surface by the plurality of spacers. Each of the plurality of spacers has, at each axial end of the stacked annular laminations, first and second axial restraining elements extending in an outward radial direction beyond the inner circumferential surface of the plurality of stacked annular laminations. The plurality of stacked annular laminations are compressed between the first axial restraining element and the second axial restraining element, such that an axial compression force is applied to the plurality of stacked laminations.Type: GrantFiled: February 4, 2020Date of Patent: August 30, 2022Assignee: Moog Inc.Inventor: Ping Peter Zhong
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Patent number: 11380116Abstract: A computer-implemented method for using a machine learning model to automatically extract tabular data from an image includes receiving a set of images of tabular data and a set of markup data corresponding respectively to the images of tabular data. The method further includes training a first neural network to delineate the tabular data into cells using the markup data, and training a second neural network to determine content of the cells in the tabular data using the markup data. The method further includes, upon receiving an input image containing a first tabular data without any markup data, generating an electronic output corresponding to the first tabular data by determining the structure of the first tabular data using the first neural network and extracting content of the first tabular data using the second neural network.Type: GrantFiled: October 22, 2019Date of Patent: July 5, 2022Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Peter Zhong, Antonio Jose Jimeno Yepes, Elaheh Shafieibavani
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Publication number: 20220180044Abstract: Aspects of the present invention disclose a method for automatic delineation and extraction of tabular data in portable document format (PDF). The method includes one or more processors extracting metadata corresponding to tabular data in a text-based portable document format (PDF), wherein the metadata is associated with characters and border lines of the tabular data. The method further includes generating a graph structure corresponding to the tabular data in the text-based PDF based at least in part on the metadata. The method further includes generating a vector representation of the graph structure. The method further includes constructing a tree structure corresponding to the tabular data based at least in part on the vector representation.Type: ApplicationFiled: December 3, 2020Publication date: June 9, 2022Inventors: Peter Zhong, Antonio Jose Jimeno Yepes
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Publication number: 20220171871Abstract: In an approach for providing a document access control based on document component layouts, a processor detects a layout of a document, the layout including one or more components of the document. A processor defines an access policy to access the one or more components based on the layout. A processor authorizes a request to access the one or more components based on the access policy and the layout. A processor retrieves the one or more components based on the access policy and the authorized request.Type: ApplicationFiled: December 2, 2020Publication date: June 2, 2022Inventors: Peter Zhong, Antinio Jose Jimeno Yepes, Lenin Mehedy
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Patent number: 11244203Abstract: Methods, systems and computer program products for automatically generating structured training data based on an unstructured document are provided. Aspects include receiving an unstructured document and a corresponding structured document that includes labeled portions. Aspects also include generating a parsed document that has one or more extracted objects by applying a parsing tool to the unstructured document. Aspects also include identifying one or more matching extracted objects by applying a matching algorithm to the structured document and the parsed document. Each matching extracted object is an extracted object of the parsed document that corresponds to a labeled portion of the structured document. Aspects also include annotating a region of the unstructured document that corresponds to the bounding box of the respective matching extracted object with a respective label of the corresponding labeled portion of the unstructured document.Type: GrantFiled: February 7, 2020Date of Patent: February 8, 2022Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Peter Zhong, Antonio Jose Jimeno Yepes, Jianbin Tang
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Patent number: 11222615Abstract: A user profile associated with a first user is received. A user prescription associated with the first user is received. A historical interaction of the first user with a display is received. A global vision model is received. One or more display sets to be used on the display is determined based on at least the user profile, the user prescription, the global vision model, and the historical interaction.Type: GrantFiled: August 15, 2019Date of Patent: January 11, 2022Assignee: International Business Machines CorporationInventors: Elaheh ShafieiBavani, Peter Zhong, Rahil Garnavi, Michael Raghib
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Publication number: 20210286989Abstract: Embodiments of the invention describe a computer-implemented method of analyzing an electronic version of a document. The computer-implemented method can include an architecture of machine learning sub-models that performs the global task of translating unstructured and semi-structured inputs into numerical representations that can be recognized and manipulated by a content-analysis (CA) sub-model without relying on brute force analysis. Embodiments of the invention achieve these results by separating the global task into auxiliary tasks and assigning each sub-model to at least one of the auxiliary tasks. The auxiliary tasks can include parsing the unstructured or semi-structured inputs into format types (e.g., lists, tables, figures, text, etc. of a PDF document), extracting features of the parsed document, and performing a computer-based CA on the extracted features.Type: ApplicationFiled: March 11, 2020Publication date: September 16, 2021Inventors: Peter Zhong, Antonio Jose Jimeno Yepes, Elaheh ShafieiBavani
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Publication number: 20210248420Abstract: Methods, systems and computer program products for automatically generating structured training data based on an unstructured document are provided. Aspects include receiving an unstructured document and a corresponding structured document that includes labeled portions. Aspects also include generating a parsed document that has one or more extracted objects by applying a parsing tool to the unstructured document. Aspects also include identifying one or more matching extracted objects by applying a matching algorithm to the structured document and the parsed document. Each matching extracted object is an extracted object of the parsed document that corresponds to a labeled portion of the structured document. Aspects also include annotating a region of the unstructured document that corresponds to the bounding box of the respective matching extracted object with a respective label of the corresponding labeled portion of the unstructured document.Type: ApplicationFiled: February 7, 2020Publication date: August 12, 2021Inventors: Peter Zhong, Antonio Jose Jimeno Yepes, Jianbin Tang
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Publication number: 20210117668Abstract: A computer-implemented method for using a machine learning model to automatically extract tabular data from an image includes receiving a set of images of tabular data and a set of markup data corresponding respectively to the images of tabular data. The method further includes training a first neural network to delineate the tabular data into cells using the markup data, and training a second neural network to determine content of the cells in the tabular data using the markup data. The method further includes, upon receiving an input image containing a first tabular data without any markup data, generating an electronic output corresponding to the first tabular data by determining the structure of the first tabular data using the first neural network and extracting content of the first tabular data using the second neural network.Type: ApplicationFiled: October 22, 2019Publication date: April 22, 2021Inventors: PETER ZHONG, ANTONIO JOSE JIMENO YEPES, ELAHEH SHAFIEIBAVANI
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Patent number: 10935307Abstract: The present invention relates to a luminous sofa cup holder comprising the cup body, the mounting base for supporting the cup body, the light source, the cooling/heating module, the temperature sensor and the control circuit for detecting the temperature of the cup body, either directly or indirectly, wherein the cup body is provided with an empty cavity, wherein the edge of the upper opening of the empty cavity is a flanging structure, which protrudes on the outer side of the cup body, wherein the light source is disposed over the outer side of the cup body; wherein the mounting base is a hollow body provided with at least one opening; wherein the cup body inserts into the mounting base through the opening provided on the mounting base; wherein the light source is held tightly by the cup body and the mounting base.Type: GrantFiled: July 21, 2016Date of Patent: March 2, 2021Inventors: Scott Xue, Peter Zhong, Sapu Li
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Publication number: 20210049982Abstract: A user profile associated with a first user is received. A user prescription associated with the first user is received. A historical interaction of the first user with a display is received. A global vision model is received. One or more display setts to be used on the display is determined based on at least the user profile, the user prescription, the global vision model, and the historical interaction.Type: ApplicationFiled: August 15, 2019Publication date: February 18, 2021Inventors: Elaheh ShafieiBavani, Peter Zhong, Rahil Garnavi, Michael Raghib
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Publication number: 20200204047Abstract: Embodiments of the present disclosure present a method and apparatus for forming a stator. An exemplary apparatus includes a planar ring defining a hollow center portion adjacent to an inner radius edge, the inner radius edge comprising a plurality of spaced apart tracks extending radially outward from the inner radius edge along a face of the planar ring. The apparatus further includes In a plurality of vertical bars, each one of the plurality of vertical bars removeably attached to the planar ring at one of the plurality of spaced apart tracks. The apparatus still further includes at least one support ring removeably attached to the plurality of vertical bars, the at least one support ring attached to each one of the plurality of vertical bars along either an inner radial surface and a top surface.Type: ApplicationFiled: September 12, 2018Publication date: June 25, 2020Inventor: Ping Peter Zhong
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Publication number: 20200177037Abstract: A rotor assembly of an electric motor generally comprises a center shaft configured to rotate about a longitudinal axis and a plurality of spacers extending radially outward from the center shaft, the spacers fixedly attached to the center shaft. A plurality of axially stacked annular laminations are coaxially aligned with the center shaft and radially supported on an inner circumferential surface by the plurality of spacers. Each of the plurality of spacers has, at each axial end of the stacked annular laminations, first and second axial restraining elements extending in an outward radial direction beyond the inner circumferential surface of the plurality of stacked annular laminations. The plurality of stacked annular laminations are compressed between the first axial restraining element and the second axial restraining element, such that an axial compression force is applied to the plurality of stacked laminations.Type: ApplicationFiled: February 4, 2020Publication date: June 4, 2020Inventor: Ping Peter Zhong
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Patent number: 10581285Abstract: A rotor assembly of an electric motor generally comprises a center shaft configured to rotate about a longitudinal axis and a plurality of spacers extending radially outward from the center shaft, the spacers fixedly attached to the center shaft. A plurality of axially stacked annular laminations are coaxially aligned with the center shaft and radially supported on an inner circumferential surface by the plurality of spacers. Each of the plurality of spacers has, at each axial end of the stacked annular laminations, first and second axial restraining elements extending in an outward radial direction beyond the inner circumferential surface of the plurality of stacked annular laminations. The plurality of stacked annular laminations are compressed between the first axial restraining element and the second axial restraining element, such that an axial compression force is applied to the plurality of stacked laminations.Type: GrantFiled: February 17, 2017Date of Patent: March 3, 2020Assignee: Moog Inc.Inventor: Ping Peter Zhong
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Publication number: 20170356686Abstract: The present invention relates to a luminous sofa cup holder comprising the cup body, the mounting base for supporting the cup body, the light source, the cooling/heating module, the temperature sensor and the control circuit for detecting the temperature of the cup body, either directly or indirectly, wherein the cup body is provided with an empty cavity, wherein the edge of the upper opening of the empty cavity is a flanging structure, which protrudes on the outer side of the cup body, wherein the light source is disposed over the outer side of the cup body; wherein the mounting base is a hollow body provided with at least one opening; wherein the cup body inserts into the mounting base through the opening provided on the mounting base; wherein the light source is held tightly by the cup body and the mounting base.Type: ApplicationFiled: July 21, 2016Publication date: December 14, 2017Inventors: Scott Xue, Peter Zhong, Sapu Li
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Publication number: 20170244292Abstract: A rotor assembly of an electric motor generally comprises a center shaft configured to rotate about a longitudinal axis and a plurality of spacers extending radially outward from the center shaft, the spacers fixedly attached to the center shaft. A plurality of axially stacked annular laminations are coaxially aligned with the center shaft and radially supported on an inner circumferential surface by the plurality of spacers. Each of the plurality of spacers has, at each axial end of the stacked annular laminations, first and second axial restraining elements extending in an outward radial direction beyond the inner circumferential surface of the plurality of stacked annular laminations. The plurality of stacked annular laminations are compressed between the first axial restraining element and the second axial restraining element, such that an axial compression force is applied to the plurality of stacked laminations.Type: ApplicationFiled: February 17, 2017Publication date: August 24, 2017Inventor: Ping Peter Zhong