Patents by Inventor Edward Kearns

Edward Kearns 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).

  • Publication number: 20230419810
    Abstract: Hazard-resultant effects to land and buildings are predicted based on various inputs. Hazards may include any appropriate type of hazard (e.g., flood, wildfire, climate-related hazards, or the like). Inputs may include the likelihood that that a specific type of hazard may occur for various scenarios, terrestrial boundaries, property boundaries, census geographies, or the like. Relationships between the inputs are determined and used to quantify parameters pertaining to a specific type of hazard. For example, the depth of flood water may be predicted for a particular terrestrial boundary, a city or town, or a building, for specific climate scenarios. A risk likelihood of the quantified parameter may be determined for a particular period of time and environment. For example, flooding to a building may be determined, broken down by depth threshold and year of annual risk for specific climate scenarios. Economic loss also may be predicted.
    Type: Application
    Filed: September 7, 2023
    Publication date: December 28, 2023
    Applicant: 1st Street Foundation, Inc.
    Inventors: Matthew Eby, Edward Kearns, Michael Amodeo, Jeremy Porter, Neil Freeman, Steven McAlpine
  • Patent number: 11790749
    Abstract: Hazard-resultant effects to land and buildings are predicted based on various inputs. Hazards may include any appropriate type of hazard (e.g., flood, wildfire, climate-related hazards, or the like). Inputs may include the likelihood that that a specific type of hazard may occur for various scenarios, terrestrial boundaries, property boundaries, census geographies, or the like. Relationships between the inputs are determined and used to quantify parameters pertaining to a specific type of hazard. For example, the depth of flood water may be predicted for a particular terrestrial boundary, a city or town, or a building, for specific climate scenarios. A risk likelihood of the quantified parameter may be determined for a particular period of time and environment. For example, flooding to a building may be determined, broken down by depth threshold and year of annual risk for specific climate scenarios. Economic loss also may be predicted.
    Type: Grant
    Filed: November 18, 2021
    Date of Patent: October 17, 2023
    Assignee: 1ST STREET FOUNDATION, INC.
    Inventors: Matthew Eby, Edward Kearns, Michael Amodeo, Jeremy Porter, Neil Freeman, Steven McAlpine
  • Publication number: 20220415155
    Abstract: Hazard-resultant effects to land and buildings are predicted based on various inputs. Hazards may include any appropriate type of hazard (e.g., flood, wildfire, climate-related hazards, or the like). Inputs may include the likelihood that that a specific type of hazard may occur for various scenarios, terrestrial boundaries, property boundaries, census geographies, or the like. Relationships between the inputs are determined and used to quantify parameters pertaining to a specific type of hazard. For example, the depth of flood water may be predicted for a particular terrestrial boundary, a city or town, or a building, for specific climate scenarios. A risk likelihood of the quantified parameter may be determined for a particular period of time and environment. For example, flooding to a building may be determined, broken down by depth threshold and year of annual risk for specific climate scenarios. Economic loss also may be predicted.
    Type: Application
    Filed: November 18, 2021
    Publication date: December 29, 2022
    Applicant: 1st Street Foundation, Inc.
    Inventors: Matthew Eby, Edward Kearns, Michael Amodeo, Jeremy Porter, Neil Freeman, Steven McAlpine
  • Patent number: 11200788
    Abstract: Hazard-resultant effects to land and buildings are predicted based on various inputs. Hazards may include any appropriate type of hazard (e.g., flood, wildfire, climate-related hazards, or the like). Inputs may include the likelihood that that a specific type of hazard may occur for various scenarios, terrestrial boundaries, property boundaries, census geographies, or the like. Relationships between the inputs are determined and used to quantify parameters pertaining to a specific type of hazard. For example, the depth of flood water may be predicted for a particular terrestrial boundary, a city or town, or a building, for specific climate scenarios. A risk likelihood of the quantified parameter may be determined for a particular period of time and environment. For example, flooding to a building may be determined, broken down by depth threshold and year of annual risk for specific climate scenarios. Economic loss also may be predicted.
    Type: Grant
    Filed: June 28, 2021
    Date of Patent: December 14, 2021
    Assignee: 1st Street Foundation, Inc.
    Inventors: Matthew Eby, Edward Kearns, Michael Amodeo, Jeremy Porter, Neil Freeman, Steven McAlpine
  • Patent number: 5167632
    Abstract: A single use automatic injection syringe having an improved locking mechanism for a coil spring that is used to provide motive force for dispensing a medicament contained therein is provided. The syringe is substantially fail-safe, inexpensive to construct and easy to operate.
    Type: Grant
    Filed: January 24, 1992
    Date of Patent: December 1, 1992
    Assignee: New Potency Products, Inc.
    Inventors: J. Francois Eid, Edward Kearns, James E. Kemble