Patents by Inventor Jason A. Dean

Jason A. Dean 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: 10824734
    Abstract: The invention utilizes a two-component system to detect third party security threats and drive improved security threat mitigation based on the detection. The first component of the system is a security threat assessment engine, which receives and/or identifies external data and internal data regarding third parties in order to determine information security threats posed by third parties. The second component of the system is an analytics engine, which may comprise a machine learning component which is configured to detect threat patterns and anomalies. In response to the detection of the threat patterns and anomalies the security threat assessment engine may be modified in order to more accurately determine security threats.
    Type: Grant
    Filed: November 30, 2017
    Date of Patent: November 3, 2020
    Assignee: BANK OF AMERICA CORPORATION
    Inventors: David Michael Steele, Jason Dean Vaughn, Mathew Allen Woodyard, Allan Carlton Byers
  • Patent number: 10812522
    Abstract: The invention utilizes a two-component system to detect third party security threats and drive internal system processes based on the detection. The first component of the system is a threat level engine, which collects external and internal system data on a real-time basis to determine changes in conditions that may give rise to a security threat. Based on the external and internal data, the level engine may calculate a threat assessment level to determine the level of the threat. The second component of the system is a third party analytics engine, which may comprise a machine learning component which is configured to detect threat patterns and anomalies, which may in turn be used to trigger events or to drive internal system processes.
    Type: Grant
    Filed: December 10, 2019
    Date of Patent: October 20, 2020
    Assignee: BANK OF AMERICA CORPORATION
    Inventors: David Michael Steele, Nelson John Chevis, Sr., Jason Dean Vaughn
  • Publication number: 20200257803
    Abstract: Embodiments of the present invention are directed to data integration and threat assessment for triggering analysis of connection oscillations in order to improve data and connection security. The invention leverages a security threat assessment engine and an analytics engine to gather and process data from a combination of internal and external data sources for a third party connection. The system continuously monitors and updates a generated threat level for a third party connection to determine changes or triggers indicating a potential security threat. In response to these determined changes or triggers, the system then responds to a detected security threat and minimizes damages resulting from data compromised by third party systems. Further, the system may extract and recover data from the third party systems and alter connection channels in order to further limit losses.
    Type: Application
    Filed: April 27, 2020
    Publication date: August 13, 2020
    Applicant: BANK OF AMERICA CORPORATION
    Inventors: David Michael Steele, Nelson John Chevis, SR., Jason Dean Vaughn, Allan Carlton Byers
  • Publication number: 20200232645
    Abstract: A loading/unloading method for a gas turbine system is disclosed. The gas turbine system includes a combustion section featuring a primary combustion stage with a first plurality of fuel nozzles and a downstream, secondary combustion stage with a second plurality of fuel nozzles. For loading, the method progresses through each of a plurality of progressive combustion modes that sequentially activate a higher number of at least one of the first or second plurality of fuel nozzles; and for unloading, the method progresses through each of a plurality of progressive combustion modes that sequentially activate a lower number of at least one of the first or second plurality of fuel nozzles. During each combustion mode, regardless of whether loading or unloading, a primary combustion stage exit temperature of a combustion gas flow is controlled to be within a predefined target range corresponding to the respective combustion mode.
    Type: Application
    Filed: January 23, 2019
    Publication date: July 23, 2020
    Inventors: Jason Nathaniel Cook, Jason Dean Fuller, Christopher James Wenner
  • Publication number: 20200167481
    Abstract: A system for generating entity-specific security-related inquiries and determining a frequency for invoking the inquiries based on integration of external security-related data and internal security related data. Specifically, a security threat level is determined for an entity and the components which comprise the security threat are identified. The components signify areas of focus for generating the entity-specific security-related inquiries. In further embodiments of the invention analytics are implemented to logically analyze the external security-related data and internal security related data and the results of which further refine the generation of the entity-specific security-related inquiries and/or determination of the frequency for invoking the inquiries.
    Type: Application
    Filed: January 30, 2020
    Publication date: May 28, 2020
    Applicant: BANK OF AMERICA CORPORATION
    Inventors: David Michael Steele, Robert James Gray, Cory David Brunner, Jason Dean Vaughn, Ryan Joseph Argomaniz
  • Publication number: 20200162502
    Abstract: The invention utilizes a two-component system to detect third party security threats and drive improved security threat mitigation based on the detection. The first component of the system is a security threat assessment engine, which receives and/or identifies external data and internal data regarding third parties in order to determine information security threats posed by third parties. The second component of the system is an analytics engine, which may comprise a machine learning component which is configured to detect threat patterns and anomalies. In response to the detection of the threat patterns and anomalies the security threat assessment engine may be modified in order to more accurately determine security threats.
    Type: Application
    Filed: January 27, 2020
    Publication date: May 21, 2020
    Applicant: BANK OF AMERICA CORPORATION
    Inventors: David Michael Steele, Nelson John Chevis, SR., Jason Dean Vaughn
  • Patent number: 10635822
    Abstract: Embodiments of the present invention are directed to data integration and threat assessment for triggering analysis of connection oscillations in order to improve data and connection security. The invention leverages a security threat assessment engine and an analytics engine to gather and process data from a combination of internal and external data sources for a third party connection. The system continuously monitors and updates a generated threat level for a third party connection to determine changes or triggers indicating a potential security threat. In response to these determined changes or triggers, the system then responds to a detected security threat and minimizes damages resulting from data compromised by third party systems. Further, the system may extract and recover data from the third party systems and alter connection channels in order to further limit losses.
    Type: Grant
    Filed: November 30, 2017
    Date of Patent: April 28, 2020
    Assignee: BANK OF AMERICA CORPORATION
    Inventors: David Michael Steele, Nelson John Chevis, Sr., Jason Dean Vaughn, Allan Carlton Byers
  • Publication number: 20200120129
    Abstract: The invention utilizes a two-component system to detect third party security threats and drive internal system processes based on the detection. The first component of the system is a threat level engine, which collects external and internal system data on a real-time basis to determine changes in conditions that may give rise to a security threat. Based on the external and internal data, the level engine may calculate a threat assessment level to determine the level of the threat. The second component of the system is a third party analytics engine, which may comprise a machine learning component which is configured to detect threat patterns and anomalies, which may in turn be used to trigger events or to drive internal system processes.
    Type: Application
    Filed: December 10, 2019
    Publication date: April 16, 2020
    Applicant: Bank of America Corporation
    Inventors: David Michael Steele, Nelson John Chevis, SR., Jason Dean Vaughn
  • Patent number: 10616260
    Abstract: The invention utilizes a two-component system to detect third party security threats and drive internal system processes based on the detection. The first component of the system is a threat level engine, which collects external and internal system data on a real-time basis to determine changes in conditions that may give rise to a security threat. Based on the external and internal data, the level engine may calculate a threat assessment level to determine the level of the threat. The second component of the system is a third party analytics engine, which may comprise a machine learning component which is configured to detect threat patterns and anomalies, which may in turn be used to trigger events or to drive internal system processes.
    Type: Grant
    Filed: November 30, 2017
    Date of Patent: April 7, 2020
    Assignee: Bank of America Corporation
    Inventors: David Michael Steele, Nelson John Chevis, Sr., Jason Dean Vaughn
  • Patent number: 10616261
    Abstract: The invention utilizes a two-component system to detect third party security threats and drive improved security threat mitigation based on the detection. The first component of the system is a security threat assessment engine, which receives and/or identifies external data and internal data regarding third parties in order to determine information security threats posed by third parties. The second component of the system is an analytics engine, which may comprise a machine learning component which is configured to detect threat patterns and anomalies. In response to the detection of the threat patterns and anomalies the security threat assessment engine may be modified in order to more accurately determine security threats.
    Type: Grant
    Filed: November 30, 2017
    Date of Patent: April 7, 2020
    Assignee: BANK OF AMERICA CORPORATION
    Inventors: David Michael Steele, Nelson John Chevis, Sr., Jason Dean Vaughn
  • Patent number: 10607013
    Abstract: A system for generating entity-specific security-related inquiries and determining a frequency for invoking the inquiries based on integration of external security-related data and internal security related data. Specifically, a security threat level is determined for an entity and the components which comprise the security threat are identified. The components signify areas of focus for generating the entity-specific security-related inquiries. In further embodiments of the invention analytics are implemented to logically analyze the external security-related data and internal security related data and the results of which further refine the generation of the entity-specific security-related inquiries and/or determination of the frequency for invoking the inquiries.
    Type: Grant
    Filed: November 30, 2017
    Date of Patent: March 31, 2020
    Assignee: BANK OF AMERICA CORPORATION
    Inventors: David Michael Steele, Robert James Gray, Cory David Brunner, Jason Dean Vaughn, Ryan Joseph Argomaniz
  • Patent number: 10540856
    Abstract: Examples disclosed herein relate to an electronic gaming device including a memory, a processor, and a plurality of reels. The memory may include one or more slash feature structures. The processor may generate one or more symbols to be located in the one or more areas. The processor may generate one or more slashing symbols. The processor may obtain one or more inputs relating to the one or more slashing symbols.
    Type: Grant
    Filed: December 4, 2013
    Date of Patent: January 21, 2020
    Assignee: AGS LLC
    Inventor: Jason Dean Grace
  • Patent number: 10501998
    Abstract: Embodiments relate to polycrystalline diamond compacts (“PDCs”) including a polycrystalline diamond (“PCD”) table having a diamond grain size distribution selected for improving performance and/or leachability. In an embodiment, a PDC includes a PCD table bonded to a substrate. The PCD table includes a plurality of diamond grains exhibiting diamond-to-diamond bonding therebetween. The plurality of diamond grains includes a first amount being about 5 weight % to about 65 weight % of the plurality of diamond grains and a second amount being about 18 weight % to about 95 weight % of the plurality of diamond grains. The first amount exhibits a first average grain size of about 0.5 ?m to about 30 ?m. The second amount exhibits a second average grain size that is greater than the first average grain size and is about 10 ?m to about 65 ?m. Other embodiments are directed to methods of forming PDCs, and various applications for such PDCs in rotary drill bits, bearing apparatuses, and wire-drawing dies.
    Type: Grant
    Filed: February 20, 2015
    Date of Patent: December 10, 2019
    Assignee: US SYNTHETIC CORPORATION
    Inventors: Brandon Paul Linford, Cody William Knuteson, Jason Dean Blackburn, Daniel Call Mortensen, Steven Swan
  • Patent number: 10462666
    Abstract: A method of communicating and authenticating credentials between a portable computing device and multiple radio frequency identification (RFID) enabled readers requires a portable computing device, a RFID reader, and user credentials. The portable computing devices stores user credentials unique to the portable computing device and the RFID reader. The RFID reader activates a corresponding building access system. The method begins by inductively harvesting electrical power into the portable computing device from the RFID reader, if the portable computing device is proximal to the RFID reader. The method then sends the user credentials from a radio communication module of the portable computing device to a radio communication module of the RFID reader, if the electrical power is inductively harvested from the RFID reader into the portable computing device. An authentication process is then executed for the set of user credentials with the RFID reader.
    Type: Grant
    Filed: August 21, 2017
    Date of Patent: October 29, 2019
    Inventor: Jason Dean Hart
  • Publication number: 20190261617
    Abstract: A method and apparatus for the collection of parasitic arthropods. In one specific example, the parasitic arthropod is a tick, which prefers to cling to the tops of foliage, while waiting for a passing host. The apparatus collects the tick. In one example the apparatus is a roller that includes a cylindrical carrier that is covered with a cloth-like material designed to have a tick attach itself thereto, so that when the roller is passed over a surface where ticks are believed to be present, the ticks attach to the roller. The cloth-like cover material is disposable, as is the cylindrical carrier. The disposable cover material may be conveniently disposed in a refuse container. An advantage of the invention is the mitigation of ticks and the diseases, such as Lyme disease, that the ticks may be carrying, without exposing a user to chemical insecticides.
    Type: Application
    Filed: May 7, 2019
    Publication date: August 29, 2019
    Inventors: Jason A. Dean, Joseph B. Milstein
  • Patent number: 10350734
    Abstract: Embodiments of the invention relate to liquid metal embrittlement (“LME”)-resistant superabrasive compacts, methods of making the same, and drill bits incorporating the same. The LME-resistant superabrasive compacts include a braze-resistant region on one or more portions of a substrate expected to be under residual tensile stress and susceptible to LME during brazing.
    Type: Grant
    Filed: April 18, 2016
    Date of Patent: July 16, 2019
    Assignee: US SYNTHETIC CORPORATION
    Inventors: Mark P. Chapman, Jason Dean Blackburn
  • Publication number: 20190166154
    Abstract: The invention utilizes a two-component system to detect third party security threats and drive improved security threat mitigation based on the detection. The first component of the system is a security threat assessment engine, which receives and/or identifies external data and internal data regarding third parties in order to determine information security threats posed by third parties. The second component of the system is an analytics engine, which may comprise a machine learning component which is configured to detect threat patterns and anomalies. In response to the detection of the threat patterns and anomalies the security threat assessment engine may be modified in order to more accurately determine security threats.
    Type: Application
    Filed: November 30, 2017
    Publication date: May 30, 2019
    Inventors: David Michael Steele, Nelson John Chevis, SR., Jason Dean Vaughn
  • Publication number: 20190166152
    Abstract: The invention utilizes a two-component system to detect third party security threats and drive internal system processes based on the detection. The first component of the system is a threat level engine, which collects external and internal system data on a real-time basis to determine changes in conditions that may give rise to a security threat. Based on the external and internal data, the level engine may calculate a threat assessment level to determine the level of the threat. The second component of the system is a third party analytics engine, which may comprise a machine learning component which is configured to detect threat patterns and anomalies, which may in turn be used to trigger events or to drive internal system processes.
    Type: Application
    Filed: November 30, 2017
    Publication date: May 30, 2019
    Inventors: David Michael Steele, Nelson John Chevis, SR., Jason Dean Vaughn
  • Publication number: 20190163914
    Abstract: A system for generating entity-specific security-related inquiries and determining a frequency for invoking the inquiries based on integration of external security-related data and internal security related data. Specifically, a security threat level is determined for an entity and the components which comprise the security threat are identified. The components signify areas of focus for generating the entity-specific security-related inquiries. In further embodiments of the invention analytics are implemented to logically analyze the external security-related data and internal security related data and the results of which further refine the generation of the entity-specific security-related inquiries and/or determination of the frequency for invoking the inquiries.
    Type: Application
    Filed: November 30, 2017
    Publication date: May 30, 2019
    Inventors: David Michael Steele, Robert James Gray, Cory David Brunner, Jason Dean Vaughn, Ryan Joseph Argomaniz
  • Patent number: D894738
    Type: Grant
    Filed: April 30, 2018
    Date of Patent: September 1, 2020
    Assignee: The Procter & Gamble Company
    Inventors: Matthew Gerald Hexemer, Borys Jerzy Chylinski, Jason Dean Tiernan