Patents by Inventor Charles E. Martin

Charles E. Martin 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: 10926888
    Abstract: In an example, a method for identifying associated events in an aircraft is described. The method includes obtaining sensor data, obtaining fault code data, generating a set of events, where each event occurs over a time interval over which either (i) the sensor data indicates an anomalous measurement or (ii) a fault code associated with a particular aircraft subsystem of the aircraft was signaled, calculating a value of statistical dependence between the set, based on the value exceeding a threshold, constructing a network representing the set as a sequence of related events and further representing a temporal order in which the sequence occurred, indexing, in a summary table stored in memory and separate from the sensor data and the fault code data, the sequence and the value, and controlling a display device to display the summary table and a visual representation of the network.
    Type: Grant
    Filed: August 7, 2018
    Date of Patent: February 23, 2021
    Assignee: The Boeing Company
    Inventors: Charles E. Martin, Tsai-Ching Lu, Alex Waagen, Steve C. Slaughter, Alice A. Murphy, Derek S. Fok
  • Publication number: 20210022724
    Abstract: Various methods and devices are provided for allowing multiple surgical instruments to be inserted into sealing elements of a single surgical access device. The sealing elements can be movable along predefined pathways within the device to allow surgical instruments inserted through the sealing elements to be moved laterally, rotationally, angularly, and vertically relative to a central longitudinal axis of the device for ease of manipulation within a patient's body while maintaining insufflation.
    Type: Application
    Filed: October 8, 2020
    Publication date: January 28, 2021
    Inventors: Mark S. Ortiz, David T. Martin, Matthew C. Miller, Mark J. Reese, Wells D. Haberstich, Carl Shurtleff, Charles J. Scheib, Frederick E. Shelton, IV, Jerome R. Morgan, Daniel H. Duke, Daniel J. Mumaw, Gregory W. Johnson, Kevin L. Houser
  • Patent number: 10898711
    Abstract: Described is system for mapping user behavior to brain regions of interest. Using a cognitive-behavior model, a behavioral task is selected that is suited for a desired brain state. Using a functional-anatomical model coupled to the cognitive-behavior model, a set of high-definition neurostimulations is selected to be applied to the user during performance of the selected behavioral task. The selected set of high-definition neurostimulations targets specific regions of the user's brain. Changes in the user's brain state are sensed during application of the set of high-definition neurostimulations and performance of the selected behavioral task using at least one brain monitoring technique. The coupled functional-anatomical and cognitive-behavior models are adapted until the desired brain state is reached.
    Type: Grant
    Filed: August 22, 2018
    Date of Patent: January 26, 2021
    Assignee: HRL Laboratories, LLC
    Inventors: Matthew E. Phillips, Matthias Ziegler, David W. Payton, Charles E. Martin
  • Patent number: 10878276
    Abstract: Described is a system for detecting change of context in a video stream on an autonomous platform. The system extracts salient patches from image frames in the video stream. Each salient patch is translated to a concept vector. A recurrent neural network is enervated with the concept vector, resulting in activations of the recurrent neural network. The activations are classified, and the classified activations are mapped onto context classes. A change in context class is detected in the image frames, and the system causes the autonomous platform to perform an automatic operation to adapt to the change of context class.
    Type: Grant
    Filed: May 17, 2019
    Date of Patent: December 29, 2020
    Assignee: HRL Laboratories, LLC
    Inventors: Charles E. Martin, Nigel D. Stepp, Soheil Kolouri, Heiko Hoffmann
  • Publication number: 20200376972
    Abstract: A system for matching a plurality of electrically powered vehicles to a plurality of available mobile chargers includes a computerized server device programmed to monitor optimization inputs related to the plurality of available mobile chargers, monitor optimization inputs related to the plurality of electrically powered vehicles operated by a plurality of customers, determine a lowest-cost-based ranked listing of matched charger and vehicle pairings for each of the plurality of customers based upon the optimization inputs related to the plurality of available chargers and the optimization inputs related to the plurality of the electrically powered vehicles, present the ranked listing of matched charger and vehicle pairings to each of the customers, monitor selection by each of the plurality of customers of a desired charger for the customer from the ranked listing, and direct each of the plurality of customers to the desired charger for the customer.
    Type: Application
    Filed: May 28, 2019
    Publication date: December 3, 2020
    Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
    Inventors: Alan B. Martin, Matthew C. Kirklin, Charles E. Freese, V, Margarita M. Mann, William H. Pettit
  • Publication number: 20200376975
    Abstract: A mobile fuel cell system includes a fuel cell generator generating a stack output signal. Multiple boost converter circuits converting the stack output signal into multiple recharge signals while in a first mode. A boost converter circuit converting the stack output signal into a local signal while in a second mode. Multiple charging handles connectable to multiple electric vehicles. A switch circuit presenting the recharge signals to the charging handles, remove the recharge signals from the charging handles and present the local signal while in the second mode. An auxiliary load may be connected to the fuel cell generator and the switch circuit. A rechargeable energy storage circuit powers the auxiliary load while in the first mode and stores energy received in the local signal while in the second mode. The auxiliary load is powered with the local signal while in the second mode.
    Type: Application
    Filed: May 28, 2019
    Publication date: December 3, 2020
    Applicant: GM Global Technology Operations LLC
    Inventors: Alan B. Martin, Matthew C. Kirklin, Margarita M. Mann, William H. Pettit, Charles E. Freese, V
  • Publication number: 20200376974
    Abstract: A system for charging an electric vehicle includes an autonomous vehicle. The autonomous vehicle includes a suspended body, a plurality of elongated legs configured to enable the autonomous vehicle to maneuver around obstacles in a parking structure and to enable the suspended body to be suspended over the electric vehicle, a charging system configured to charge the electric vehicle, and a plurality of sensors acquiring data regarding an environment around the autonomous vehicle. The autonomous vehicle includes programming to utilize the data regarding the environment around the autonomous vehicle to automatically move to the electric vehicle.
    Type: Application
    Filed: May 28, 2019
    Publication date: December 3, 2020
    Applicant: c/o GM Global Technology Operations LLC
    Inventors: Charles E. Freese, V, William H. Pettit, Margarita M. Mann, Matthew C. Kirklin, Alan B. Martin
  • Publication number: 20200381750
    Abstract: A system for managing heat in a mobile charger configured to provide power to an electric vehicle includes the mobile charger. The mobile charger includes a fuel cell stack, a heat reservoir, and a liquid coolant system including one or more liquid coolant loops configured to transfer heat between the fuel cell stack and the heat reservoir. The mobile charger further includes a computerized processor which is programmed to selectively control the liquid coolant system in one of a plurality of a thermal management modes configured to selectively remove heat from the fuel cell stack and provide heat to the fuel cell stack.
    Type: Application
    Filed: May 28, 2019
    Publication date: December 3, 2020
    Applicant: c/o GM Global Technology Operations LLC
    Inventors: William H. Pettit, Charles E. Freese, V, Margarita M. Mann, Alan B. Martin, Matthew C. Kirklin
  • Patent number: 10813632
    Abstract: Various methods and devices are provided for allowing multiple surgical instruments to be inserted into sealing elements of a single surgical access device. The sealing elements can be movable along predefined pathways within the device to allow surgical instruments inserted through the sealing elements to be moved laterally, rotationally, angularly, and vertically relative to a central longitudinal axis of the device for ease of manipulation within a patient's body while maintaining insufflation.
    Type: Grant
    Filed: December 7, 2018
    Date of Patent: October 27, 2020
    Assignee: Ethicon, LLC
    Inventors: Mark S. Ortiz, David T. Martin, Matthew C. Miller, Mark J. Reese, Wells D. Haberstich, Carl Shurtleff, Charles J. Scheib, Frederick E. Shelton, IV, Jerome R. Morgan, Daniel H. Duke, Daniel J. Mumaw, Gregory W. Johnson, Kevin L. Houser
  • Patent number: 10803356
    Abstract: Described is a system for understanding machine-learning decisions. In an unsupervised learning phase, the system extracts, from input data, concepts represented by a machine-learning (ML) model in an unsupervised manner by clustering patterns of activity of latent variables of the concepts, where the latent variables are hidden variables of the ML model. The extracted concepts are organized into a concept network by learning functional semantics among the extracted concepts. In an operational phase, a subnetwork of the concept network is generated. Nodes of the subnetwork are displayed as a set of visual images that are annotated by weights and labels, and the ML model per the weights and labels.
    Type: Grant
    Filed: April 5, 2018
    Date of Patent: October 13, 2020
    Assignee: HRL Laboratories, LLC
    Inventors: Charles E. Martin, Soheil Kolouri, Heiko Hoffmann
  • Patent number: 10766606
    Abstract: A landing gear arrangement may comprise a lever configured to be coupled between an axle and a strut piston of a shock strut, a load damper configured to be externally coupled between the shock strut and the lever, wherein the load damper is configured to increase a length of the landing gear arrangement in response to an extension force of the load damper increasing above a ground force reacted through the landing gear arrangement. The load damper may be located externally from the strut piston.
    Type: Grant
    Filed: October 17, 2017
    Date of Patent: September 8, 2020
    Assignee: Goodrich Corporation
    Inventors: Charles J. Spink, Ian Kopp, Dennis W. Martin, William E. Luce
  • Patent number: 10759111
    Abstract: A build box associated with a powder bed fabrication system may comprise a housing defining a housing cavity, and a powder print bed disposed within the housing cavity. The powder print bed may be characterized by state information. The build box may further comprise a medium configured to facilitate access to the state information, and a coupling interface for removably engaging the build box with at least one subsystem of the powder bed fabrication system. The state information may comprise one or more state information elements of object identification, object location, current processing state, next subsystem processing step, previous subsystem processing step, object model information, object material composition, and current powder print bed temperature profile. The medium may comprise a memory device coupled with a transceiver. The medium may alternatively comprise an RFID device, or an optically perceivable designator, such as a bar code or QR code.
    Type: Grant
    Filed: March 15, 2018
    Date of Patent: September 1, 2020
    Assignee: Desktop Metal, Inc.
    Inventors: Ricardo Fulop, Alexander Nicholas LeGendre, Jonah Samuel Myerberg, Charles Edward Martin, Justin Cumming, Robert Michael Shydo, Jr., George Hudelson, Jamison Go, Andrew E. Kuklinski, Michael Daniel Santorella
  • Patent number: 10749883
    Abstract: Described is an automatic anomaly detector that receives a time-series of normal and abnormal activities that include features related to entities within a computing system. A feature coherence graph for the features is constructed, with the graph then clustered such that feature spaces of entities are expanded to include features that live within a same cluster but belong to separate entities. The feature spaces are unified by mapping representations of the features spaces into a Euclidean space of feature vectors. The feature vectors related to each feature are then aligned. Sets of clusters of related abnormal activities are then generated by regressing each feature vector over only those features that it possesses. The sets of clusters are used to detect anomalous behavior. The system then identifies a node within the computer system generating the anomalous behavior and initiates an action to minimize a threat posed by the node.
    Type: Grant
    Filed: August 27, 2018
    Date of Patent: August 18, 2020
    Assignee: HRL Laboratories, LLC
    Inventors: Charles E. Martin, Kang-Yu Ni
  • Patent number: 10699040
    Abstract: A vehicle system prognosis apparatus including sensor(s) for detecting a characteristic of a vehicle system and generating at least one time series of condition indicator values, and a processor that receives the at least one time series and generates an analysis model, for the characteristic, that is trained with one or more of the at least one time series, that are obtained from the one or more sensors with the vehicle system operating under normal conditions, extracts from the at least one time series one or more features embodying an indication of a health of the vehicle system, generates a quantified health assessment of the vehicle system by quantifying the one or more features based on a normal distribution of the one or more features from the analysis model, and communicates the quantified health assessment of the vehicle system to an operator or crew member of the vehicle.
    Type: Grant
    Filed: August 7, 2017
    Date of Patent: June 30, 2020
    Assignee: The Boeing Company
    Inventors: Charles E. Martin, Tsai-Ching Lu, Samuel D. Johnson, Steve Slaughter, Alice A. Murphy, Christopher R. Wezdenko
  • Patent number: 10691207
    Abstract: An example display device includes an input module to receive a touch input that identifies a shape of an electronic device. The display device also includes a display panel. The display panel is to display first data from a computing device in a first region of the display panel. The display panel is also to, in response to a reception of the touch input, display the first data in a second region of the display panel and display second data from the electronic device in a virtual representation of the electronic device in a third region of the display panel. The third region corresponds to the shape of the electronic device. The second data is received via a connection to the computing device. The second region is smaller than the first region.
    Type: Grant
    Filed: September 22, 2015
    Date of Patent: June 23, 2020
    Assignee: Hewlett-Packard Development Company, L.P.
    Inventors: Kent E. Biggs, Robert Paul Martin, Charles J Stancil, Jeffrey C Stevens, Harold Merkel
  • Patent number: 10691972
    Abstract: Described is a system for discriminant localization of objects. During operation, the system causes one or more processors to perform an operation of identifying an object in an image using a multi-layer network. Features of the object are derived from the activations of two or more layers of the multi-layer network. The image is then classified to contain one or more object classes, and the desired object class is localized. A device can then be controlled based on localization of the object in the image. For example, a robotic arm can be controlled to reach for the object.
    Type: Grant
    Filed: April 20, 2018
    Date of Patent: June 23, 2020
    Assignee: HRL Laboratories, LLC
    Inventors: Soheil Kolouri, Charles E. Martin, Heiko Hoffmann
  • Patent number: 10668701
    Abstract: A sound and heat insulating blanket is presented comprising: a) a first layer of fabric comprising first fibers; and b) a first sound barrier film comprising a first rubber; wherein the first layer of fabric and first sound barrier film are bound together through a first interpenetrated binding layer wherein the first rubber of the first sound barrier film is interpenetrated by the first fibers of the first layer of fabric; and optionally c) a second layer of fabric comprising second fibers; wherein the second layer of fabric and first sound barrier film are bound together through a second interpenetrated binding layer wherein the first cured composition of the first sound barrier film is interpenetrated by the second fibers of the second layer of fabric. Typically, the sound and heat insulating blanket comprises no adhesive binding the first and second layers of fabric and the sound barrier film.
    Type: Grant
    Filed: May 5, 2016
    Date of Patent: June 2, 2020
    Assignee: 3M Innovative Properties Company
    Inventors: Pingfan Wu, Lianzhou Chen, Fredrick W. Vance, Edward E. Cole, Charles W. Hedley, Gregory L. Simon, Michael C. Martin
  • Publication number: 20200168010
    Abstract: A fault detection system including one or more sensors onboard a vehicle to detect a characteristic of the vehicle and generate sensor signals corresponding to the characteristic, a processor onboard the vehicle to receive the sensor signals, generate one or more fast Fourier transform vectors based on the sensor signals so that the one or more fast Fourier transform vectors are representative of the characteristic, generate an analysis model from a time history of the fast Fourier transform vectors, and determine, using the analysis model, a degree to which the one or more fast Fourier transform vectors could have been generated by the analysis model, and an indicator to communicate an operational status of the vehicle to an operator or crew member of the vehicle based on the degree to which the one or more fast Fourier transform vectors could have been generated by the analysis model.
    Type: Application
    Filed: January 30, 2020
    Publication date: May 28, 2020
    Inventors: Dmitriy KORCHEV, Charles E. MARTIN, Tsai-Ching LU, Steve SLAUGHTER, Alice A. MURPHY, Christopher R. WEZDENKO
  • Publication number: 20200134426
    Abstract: An autonomous or semi-autonomous system includes a temporal prediction network configured to process a first set of samples from an environment of the system during performance of a first task, a controller configured to process the first set of samples from the environment and a hidden state output by the temporal prediction network, a preserved copy of the temporal prediction network, and a preserved copy of the controller. The preserved copy of the temporal prediction network and the preserved copy of the controller are configured to generate simulated rollouts, and the system is configured to interleave the simulated rollouts with a second set of samples from the environment during performance of a second task to preserve knowledge of the temporal prediction network for performing the first task.
    Type: Application
    Filed: August 22, 2019
    Publication date: April 30, 2020
    Inventors: Nicholas A. Ketz, Praveen K. Pilly, Soheil Kolouri, Charles E. Martin, Michael D. Howard
  • Publication number: 20200125930
    Abstract: A method for retraining an artificial neural network trained on data from an old task includes training the artificial neural network on data from a new task different than the old task, calculating a drift, utilizing Sliced Wasserstein Distance, in activation distributions of a series of hidden layer nodes during the training of the artificial neural network with the new task, calculating a number of additional nodes to add to at least one hidden layer based on the drift in the activation distributions, resetting connection weights between input layer nodes, hidden layer nodes, and output layer nodes to values before the training of the artificial neural network on the data from the new task, adding the additional nodes to the at least one hidden layer, and training the artificial neural network on data from the new task.
    Type: Application
    Filed: September 5, 2019
    Publication date: April 23, 2020
    Inventors: Charles E. Martin, Nicholas A. Ketz, Praveen K. Pilly, Soheil Kolouri, Michael D. Howard, Nigel D. Stepp