Patents by Inventor Peter Henry Tu

Peter Henry Tu 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: 11727125
    Abstract: Briefly, embodiments are directed to a system, method, and article for acquiring a symbol comprising a representation of input data. The symbol may be converted into an emergent language expression in an emergent language via processing of a first neural network. Transmission of the emergent language expression may be initiated over a communications network, where the emergent language comprises a language based on and specific to the input data. The emergent language expression may be translated back into the representation of the input data via processing of a second neural network.
    Type: Grant
    Filed: March 31, 2020
    Date of Patent: August 15, 2023
    Assignee: General Electric Company
    Inventors: Alberto Santamaria-Pang, Peter Henry Tu, Naresh Sundaram Iyer, Varish Mulwad, Guangliang Zhao
  • Patent number: 11373069
    Abstract: An analogy generating system includes one or more image databases that include a first set of images depicting a first symbolic class and a second set of images depicting a second symbolic class and an autoencoder that receive images from the first set of images and the second set of images; determines a first characteristic shared between the first symbolic class and the second symbolic class using a first node from multiple nodes on a neural network; determine a second characteristic shared between the first symbolic class and the second symbolic class using a second node from multiple nodes on the neural network; and exchange the first characteristic and the second characteristic between the first node and the second node to establish an analogy between the first symbolic class and the second symbolic class.
    Type: Grant
    Filed: March 20, 2020
    Date of Patent: June 28, 2022
    Assignee: GENERAL ELECTRIC COMPANY
    Inventors: Peter Henry Tu, Tao Gao, Alexander S-Ban Chen, Jilin Tu
  • Patent number: 11315272
    Abstract: The present approach relates to an automatic and efficient motion plan for a drone to collect and save a qualified dataset that may be used to improve reconstruction of 3D models using the acquired data. The present architecture provides an automatic image processing context, eliminating low quality images and providing improved image data for point cloud generation and texture mapping.
    Type: Grant
    Filed: February 6, 2020
    Date of Patent: April 26, 2022
    Assignee: GENERAL ELECTRIC COMPANY
    Inventors: Ming-Ching Chang, Junli Ping, Eric Michael Gros, Arpit Jain, Peter Henry Tu
  • Patent number: 11145051
    Abstract: The present approach relates to the use of a point cloud of an object to initialize or seed a space carving technique used to generate a 3D model of the object. In one implementation, feature matching is performed on 2D images, with matched features constituting the points of a point cloud model. The point cloud generated in this manner, is one input of a foreground/background segmentation algorithm, which generates a set of segmented 2D images used by a space carving routine to generate a 3D model of the object.
    Type: Grant
    Filed: April 29, 2020
    Date of Patent: October 12, 2021
    Assignee: GENERAL ELECTRIC COMPANY
    Inventors: Eric Michael Gros, Junli Ping, Arpit Jain, Ming-Ching Chang, Peter Henry Tu
  • Publication number: 20210303701
    Abstract: Briefly, embodiments are directed to a system, method, and article for acquiring a symbol comprising a representation of input data. The symbol may be converted into an emergent language expression in an emergent language via processing of a first neural network. Transmission of the emergent language expression may be initiated over a communications network, where the emergent language comprises a language based on and specific to the input data. The emergent language expression may be translated back into the representation of the input data via processing of a second neural network.
    Type: Application
    Filed: March 31, 2020
    Publication date: September 30, 2021
    Inventors: Alberto SANTAMARIA-PANG, Peter Henry TU, Naresh Sundaram IYER, Varish MULWAD, Guangliang ZHAO
  • Publication number: 20210295102
    Abstract: An analogy generating system includes one or more image databases that include a first set of images depicting a first symbolic class and a second set of images depicting a second symbolic class and an autoencoder that receive images from the first set of images and the second set of images; determines a first characteristic shared between the first symbolic class and the second symbolic class using a first node from multiple nodes on a neural network; determine a second characteristic shared between the first symbolic class and the second symbolic class using a second node from multiple nodes on the neural network; and exchange the first characteristic and the second characteristic between the first node and the second node to establish an analogy between the first symbolic class and the second symbolic class.
    Type: Application
    Filed: March 20, 2020
    Publication date: September 23, 2021
    Inventors: Peter Henry Tu, Tao Gao, Alexander S-Ban Chen, Jilin Tu
  • Publication number: 20210227223
    Abstract: A system and method including receiving input data by an encoder, the encoder reducing a dimensionality of the received data; receiving, by a sender module, the reduced dimensionality data; generating, by the sender module, a sentence comprising a plurality of symbols representative of the input data, the symbols being defined by a predetermined vocabulary and a predetermined sentence length; receiving, by a receiver module, the sentence comprising the plurality of symbols; generating, based on the received sentence, continuous data by the receiver module; receiving, by a decoder, the continuous data from the receiver module; generating an output, by the decoder based on the continuous data, the output including a recreation of the input data.
    Type: Application
    Filed: January 21, 2020
    Publication date: July 22, 2021
    Inventors: Alberto SANTAMARIA-PANG, Peter Henry TU, James KUBRICHT, Aritra CHOWDHURY, Arpit JAIN, Chinmaya DEVARAJ
  • Patent number: 10839009
    Abstract: A method for analyzing time series data to identify an event of interest is provided. The method includes receiving, at a computing device, time series data that includes the event of interest, identifying, using the computing device, a start time of the event of interest and an end time of the event of interest by modeling at least one transitional pattern in the time series data, and categorizing, using the computing device, the event of interest based on the at least one transitional pattern.
    Type: Grant
    Filed: April 27, 2018
    Date of Patent: November 17, 2020
    Assignee: SMITHS DETECTION INC.
    Inventors: Jixu Chen, Peter Henry Tu, Ming-Ching Chang, Yelin Kim, Siwei Lyu
  • Publication number: 20200337628
    Abstract: The present disclosure relates to the reduction of pressure ulcers and falls with respect to patients with physical or cognitive impairments who are in bed. A control system assures that the bed and ancillary apparatus are physically set and that patient behaviors are responded to by care providers. Motion is monitored with a non-mutually exclusive portfolio of sensors, and this information is used by one or more reasoning engines. An integrated clinical workflow is informed by the patterns of movement and then the physical environment, patient interaction, and care provider workflow are controlled to reduce the incidence of falls and pressure ulcers in bed ridden patients.
    Type: Application
    Filed: June 15, 2020
    Publication date: October 29, 2020
    Inventors: Christopher Donald Johnson, Peter Henry Tu, Andrew Phelps Day, Ting Yu
  • Publication number: 20200258207
    Abstract: The present approach relates to the use of a point cloud of an object to initialize or seed a space carving technique used to generate a 3D model of the object. In one implementation, feature matching is performed on 2D images, with matched features constituting the points of a point cloud model. The point cloud generated in this manner, is one input of a foreground/background segmentation algorithm, which generates a set of segmented 2D images used by a space carving routine to generate a 3D model of the object.
    Type: Application
    Filed: April 29, 2020
    Publication date: August 13, 2020
    Inventors: Eric Michael Gros, Junli Ping, Arpit Jain, Ming-Ching Chang, Peter Henry Tu
  • Patent number: 10682090
    Abstract: The present disclosure relates to the reduction of pressure ulcers and falls with respect to patients with physical or cognitive impairments who are in bed. A control system assures that the bed and ancillary apparatus are physically set and that patient behaviors are responded to by care providers. Motion is monitored with a non-mutually exclusive portfolio of sensors, and this information is used by one or more reasoning engines. An integrated clinical workflow is informed by the patterns of movement and then the physical environment, patient interaction, and care provider workflow are controlled to reduce the incidence of falls and pressure ulcers in bed ridden patients.
    Type: Grant
    Filed: June 29, 2016
    Date of Patent: June 16, 2020
    Assignee: General Electric Company
    Inventors: Christopher Donald Johnson, Peter Henry Tu, Andrew Phelps Day, Ting Yu
  • Patent number: 10679338
    Abstract: The present approach relates to the use of a point cloud of an object to initialize or seed a space carving technique used to generate a 3D model of the object. In one implementation, feature matching is performed on 2D images, with matched features constituting the points of a point cloud model. The point cloud generated in this manner, is one input of a foreground/background segmentation algorithm, which generates a set of segmented 2D images used by a space carving routine to generate a 3D model of the object.
    Type: Grant
    Filed: August 23, 2017
    Date of Patent: June 9, 2020
    Assignee: GENERAL ELECTRIC COMPANY
    Inventors: Eric Michael Gros, Junli Ping, Arpit Jain, Ming-Ching Chang, Peter Henry Tu
  • Patent number: 10679754
    Abstract: An example method includes: classifying lung function risk based on patient attributes and a clinical protocol; generating alarms and incentives for compliance with the clinical protocol based on patient attributes, clinical protocol, and patient lung function risk; determining an orientation and position of a clinical device based on tagged feature(s) of the clinical device compared to identified patient feature(s); monitoring patient interaction with the clinical device; identifying a deviation from the clinical protocol based on the monitored patient interaction, a patient biometric indicator, and a desired setpoint state in the protocol; when a deviation is identified, providing feedback proportional to the deviation, the feedback including an adjustment with respect to the clinical protocol and/or the clinical device; and triggering at least one alarm and/or incentive based on deviation and feedback, wherein the alarm/incentives differs based on whether and to what extent deviation is identified and feed
    Type: Grant
    Filed: July 25, 2018
    Date of Patent: June 9, 2020
    Assignee: General Electric Company
    Inventors: Christopher Donald Johnson, Peter Henry Tu, Andrew Phelps Day, Ting Yu, Jeffrey Richardson Terry
  • Publication number: 20200175703
    Abstract: The present approach relates to an automatic and efficient motion plan for a drone to collect and save a qualified dataset that may be used to improve reconstruction of 3D models using the acquired data. The present architecture provides an automatic image processing context, eliminating low quality images and providing improved image data for point cloud generation and texture mapping.
    Type: Application
    Filed: February 6, 2020
    Publication date: June 4, 2020
    Inventors: Ming-Ching Chang, Junli Ping, Eric Michael Gros, Arpit Jain, Peter Henry Tu
  • Patent number: 10600194
    Abstract: The present approach relates to an automatic and efficient motion plan for a drone to collect and save a qualified dataset that may be used to improve reconstruction of 3D models using the acquired data. The present architecture provides an automatic image processing context, eliminating low quality images and providing improved image data for point cloud generation and texture mapping.
    Type: Grant
    Filed: August 24, 2017
    Date of Patent: March 24, 2020
    Assignee: GENERAL ELECTRIC COMPANY
    Inventors: Ming-Ching Chang, Junli Ping, Eric Michael Gros, Arpit Jain, Peter Henry Tu
  • Patent number: 10445565
    Abstract: Provided are techniques for assessing individual or crowd level behavior based on image data analysis. For example, in one embodiment, the techniques may include generating signatures representative of an observed behavior based on video data and performing pairwise matching by determining whether the first signature matches a second signature indicative of a query behavior.
    Type: Grant
    Filed: December 6, 2016
    Date of Patent: October 15, 2019
    Assignee: GENERAL ELECTRIC COMPANY
    Inventors: Peter Henry Tu, Tao Gao, Jilin Tu
  • Publication number: 20190311661
    Abstract: An advertising system is disclosed. In one embodiment, the system includes an advertising station including a display and configured to provide advertising content to potential customers via the display and one or more cameras configured to capture images of the potential customers when proximate to the advertising station. The system may also include a data processing system to analyze the captured images to determine gaze directions and body pose directions for the potential customers, and to determine interest levels of the potential customers in the advertising content based on the determined gaze directions and body pose directions. Various other systems, methods, and articles of manufacture are also disclosed.
    Type: Application
    Filed: June 10, 2019
    Publication date: October 10, 2019
    Inventors: Nils Oliver Krahnstoever, Peter Henry Tu, Ming-Ching Chang, Weina Ge
  • Patent number: 10361000
    Abstract: The system and method disclosed herein provides an integrated and automated workflow, sensor, and reasoning system that automatically detects breaches in protocols, appropriately alarms and records these breaches, facilitates staff adoption of protocol adherence, and ultimately enables the study of protocols for care comparative effectiveness. The system provides real-time alerts to medical personnel in the actual processes of care, thereby reducing the number of negative patient events and ultimately improving staff behavior with respect to protocol adherence.
    Type: Grant
    Filed: February 2, 2018
    Date of Patent: July 23, 2019
    Assignee: General Electric Company
    Inventors: Christopher Donald Johnson, Peter Henry Tu, Piero Patrone Bonissone, John Michael Lizzi, Jr., Kunter Seref Akbay, Ting Yu, Corey Nicholas Bufi, Viswanath Avasarala, Naresh Sundaram Iyer, Yi Yao, Kedar Anil Patwardhan, Dashan Gao
  • Publication number: 20190168787
    Abstract: An inspection management system is provided. The inspection management system includes an inspection data provider that receives inspection data relating to an inspector, one or more devices used to complete an inspection, one or more assets associated with an inspection, an inspection plan, etc. A display of the inspection management system presents one or more graphical user interfaces based upon the inspection data. The graphical user interfaces may facilitate inspection planning, execution, preparation, and/or real-time inspection monitoring.
    Type: Application
    Filed: December 21, 2018
    Publication date: June 6, 2019
    Inventors: Jason Howard Messinger, Robert Carroll Ward, Michael Christopher Domke, Sekhar Soorianarayanan, Scott Leo Sbihli, Thomas Eldred Lambdin, Steven Clifton, Dattaraj Jagdish Rao, Anju Bind, Glenn Robert Shaffer, Peter Henry Tu, Mark Bradshaw Kraeling, Anwarul Azam, Matthew Lawrence Blair, Shannon Joseph Clouse
  • Publication number: 20190139438
    Abstract: A social interaction system and of operation thereof for interpreting social cues and using such analysis to improve social interaction via the providing of a suggested response is provided. The social interaction system includes one or more sensors to obtain social indicator data of one or more individuals in an environment during a social interaction, the social indicator data related to a behavior of the one or more individuals. The social interaction system also includes a processing system configured to determine a social state of the one or more individuals using the social indicator data and determine an optimal social response of a person to the social interaction based on an analysis of the social state. The social interaction system further includes a feedback system to indicate the optimal social response to the person.
    Type: Application
    Filed: November 9, 2017
    Publication date: May 9, 2019
    Inventors: Peter Henry Tu, Tao Gao, Jilin Tu