公开(公告)号：US11579335B2

公开(公告)日：2023-02-14

申请号：US17327129

申请日：2021-05-21

Applicant: University of Florida Research Foundation, Inc. ,  Clarkson University ,  Woods Hole Oceanographic Institution

Inventor： Forrest J. Masters ,  Pedro L. Fernandez-Caban ,  Brian M. Phillips ,  Christopher C. Ferraro ,  Britt Raubenheimer ,  Wei-Ting Lu

IPC: G01W1/04 ,  G06N20/00 ,  G01W1/10 ,  G06N5/04 ,  H04L67/12 ,  E04H12/18 ,  H04N7/18 ,  H04Q9/00 ,  G01W1/00 ,  E02D5/56 ,  E02D27/16

Abstract: The present disclosure describes various embodiments of systems, apparatuses, and methods for large-scale processing of weather-related data. For one such system, the system comprises a database of weather-related data providing from a plurality of weather monitoring stations and a plurality of interconnected processors for coordinating a data processing job for processing a set of input weather-related data from the database. Accordingly, the input data comprises sensor data from an array of weather monitoring stations positioned on an open shoreline during a hydrodynamic event, weather model data for the hydrodynamic event, and at least one of air-craft reconnaissance data or satellite reconnaissance data regarding the hydrodynamic event, wherein the plurality of interconnected processors are configured to assimilate the input data and generate, using machine learning, an improved weather prediction model for the hydrodynamic event. Other systems, apparatuses, and methods are also provided.

公开(公告)号：US12228697B2

公开(公告)日：2025-02-18

申请号：US18153232

申请日：2023-01-11

Applicant: University of Florida Research Foundation, Inc. ,  Clarkson University ,  Woods Hole Oceanographic Institution

Inventor： Forrest J. Masters ,  Pedro L. Fernandez-Caban ,  Brian M. Phillips ,  Christopher C. Ferraro ,  Britt Raubenheimer ,  Wei-Ting Lu

IPC: G01W1/04 ,  E02D5/56 ,  E02D27/16 ,  E04H12/18 ,  G01W1/00 ,  G01W1/10 ,  G06N5/04 ,  G06N20/00 ,  H04L67/12 ,  H04N7/18 ,  H04Q9/00

Abstract: The present disclosure describes various embodiments of systems, apparatuses, and methods for large-scale processing of weather-related data. For one such system, the system comprises a database of weather-related data providing from at least one weather monitoring station and at least one processor for coordinating a data processing job for processing a set of input weather-related data from the database. Accordingly, the input data comprises sensor data from the at least one weather monitoring station positioned on an open shoreline during a hydrodynamic event, weather model data for the hydrodynamic event, and at least one of air-craft reconnaissance data or satellite reconnaissance data regarding the hydrodynamic event, wherein the at least one processor is configured to assimilate the input data and generate, using machine learning, an improved weather prediction model for the hydrodynamic event. Other systems, apparatuses, and methods are also provided.

公开(公告)号：US12091827B2

公开(公告)日：2024-09-17

申请号：US18515663

申请日：2023-11-21

Applicant: University of Florida Research Foundation, Inc.

Inventor： Timothy G. Townsend ,  Justin G. Roessler ,  Christopher C. Ferraro

IPC: C04B18/00 ,  C04B18/04 ,  C04B20/02 ,  C04B26/26 ,  C04B28/04 ,  C08L95/00 ,  E01C3/00 ,  C04B111/00 ,  C04B111/10

CPC classification number: E01C3/003 ,  C04B18/049 ,  C04B20/02 ,  C04B26/26 ,  C04B28/04 ,  C08L95/005 ,  C04B2111/0075 ,  C04B2111/10 ,  Y02W30/91 ,  C04B28/04 ,  C04B14/28 ,  C04B18/06 ,  C04B18/08 ,  C04B20/0076 ,  C04B26/26 ,  C04B14/28 ,  C04B18/06 ,  C04B18/08 ,  C04B20/0076 ,  C04B20/02 ,  C04B18/06

Abstract: Described herein are compositions and methods for waste-to-energy ash in engineered aggregate in road construction.

公开(公告)号：US20240182362A1

公开(公告)日：2024-06-06

申请号：US18441361

申请日：2024-02-14

Applicant: University of Florida Research Foundation, Inc.

Inventor： Christopher C. Ferraro ,  Timothy G. Townsend ,  Kyle A. Clavier

IPC: C04B7/44 ,  C04B7/02 ,  C04B7/28 ,  C04B7/42 ,  C04B7/52 ,  C04B28/14 ,  C04B111/00 ,  F27B3/18 ,  F27B3/24

CPC classification number: C04B7/4423 ,  C04B7/02 ,  C04B7/28 ,  C04B7/421 ,  C04B7/52 ,  C04B28/14 ,  F27B3/18 ,  F27B3/24 ,  C04B2111/00206

Abstract: Various examples related to portland cement manufacturing using municipal solid waste incineration (MSWI) ash are provided. In one example, a method includes providing a raw kiln feed including MSWI to a kiln, forming ash-amended clinker (ACK) by heating the raw kiln feed in the kiln, and preparing ash-amended cement (AAC) from the ACK. The MSWI bottom ash can make up about 5% by mass or less of the raw kiln feed. The ACK can have a chemical composition that meets ASTM C150/ASTM C595, and the AAC can include arsenic, barium, copper, and lead consistent with defined Soil Cleanup Target Levels. In another example, a system includes a kiln, a kiln feed system that supplies raw kiln feed including MSWI bottom ash to the kiln, and a finish mill that grinds ACK formed by heating the raw kiln feed in the kiln to form AAC.

公开(公告)号：US20220155486A1

公开(公告)日：2022-05-19

申请号：US17327129

申请日：2021-05-21

Applicant: University of Florida Research Foundation, Inc. ,  Clarkson University ,  Woods Hole Oceanographic Institution

Inventor： Forrest J. Masters ,  Pedro L. Fernandez-Caban ,  Brian M. Phillips ,  Christopher C. Ferraro ,  Britt Raubenheimer ,  Wei-Ting Lu

IPC: G01W1/10 ,  G01W1/04 ,  H04L29/08 ,  G06N20/00 ,  G06N5/04

Abstract: The present disclosure describes various embodiments of systems, apparatuses, and methods for large-scale processing of weather-related data. For one such system, the system comprises a database of weather-related data providing from a plurality of weather monitoring stations and a plurality of interconnected processors for coordinating a data processing job for processing a set of input weather-related data from the database. Accordingly, the input data comprises sensor data from an array of weather monitoring stations positioned on an open shoreline during a hydrodynamic event, weather model data for the hydrodynamic event, and at least one of air-craft reconnaissance data or satellite reconnaissance data regarding the hydrodynamic event, wherein the plurality of interconnected processors are configured to assimilate the input data and generate, using machine learning, an improved weather prediction model for the hydrodynamic event. Other systems, apparatuses, and methods are also provided.