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    SYSTEM AND METHOD FOR DETECTING AN OUT-OF-DISTRIBUTION DATA SAMPLE BASED ON UNCERTAINTY ADVERSARIAL TRAINING
    1.
    发明公开
    SYSTEM AND METHOD FOR DETECTING AN OUT-OF-DISTRIBUTION DATA SAMPLE BASED ON UNCERTAINTY ADVERSARIAL TRAINING 审中-公开

    公开(公告)号：US20240303503A1

    公开(公告)日：2024-09-12

    申请号：US18485499

    申请日：2023-10-12

    Applicant: Booz Allen Hamilton Inc.

    Inventor： Derek Scott Everett ,  Andre Tai Nguyen ,  Edward Simon Pastor Raff

    IPC: G06N3/094 ,  G06N3/045 ,  G06N3/0464

    CPC classification number: G06N3/094 ,  G06N3/045 ,  G06N3/0464

    Abstract: Provided are systems, methods, and computer program products including at least one processor programmed or configured to perturb at least one training dataset based on mutual information extracted from an ensemble machine learning model to provide at least one adversarial training dataset, execute at least two machine learning models of an ensemble machine learning model, train at least two machine learning models with the at least one training dataset by feeding an input or output of one of the at least two machine learning models to the other of the at least two machine learning models, train the ensemble machine learning model with the at least one adversarial training dataset, receive a runtime input from a client device, and provide the runtime input to the trained ensemble machine learning model to generate a signal output indicating that the runtime input includes an out-of-distribution sample.

    Systems and methods for generating trust metrics for sensor data
    2.
    发明授权
    Systems and methods for generating trust metrics for sensor data 有权

    公开(公告)号：US12058146B2

    公开(公告)日：2024-08-06

    申请号：US16919814

    申请日：2020-07-02

    Applicant: Booz Allen Hamilton Inc.

    Inventor： Paul D'Angio ,  Randy Yamada ,  Natasha Norris ,  Jon Duntze

    IPC: H04L67/12 ,  G16Y40/35 ,  G16Y40/50 ,  H04L9/40

    CPC classification number: H04L63/1408 ,  G16Y40/35 ,  G16Y40/50 ,  H04L63/1441 ,  H04L67/12

    Abstract: A method for generating trust metrics for sensor data is disclosed. The method can include receiving the sensor data from at least one sensor associated with a platform; categorizing the sensor data into one or more sensor data types; applying one or more threat detection algorithms to the sensor data based on the one or more sensor data types to detect one or more threats to the integrity of the sensor data; calculating a detection certainty for the sensor data from the at least one sensor, the detection certainty indicating a probability that the one or more threats are affecting the integrity of the sensor data; and generating a trust metric for the sensor data of the at least one sensor based on the detection certainty for the sensor data from the at least one sensor.

    Acoustic lens multi-beam communication system
    3.
    发明授权
    Acoustic lens multi-beam communication system 有权

    公开(公告)号：US12040842B2

    公开(公告)日：2024-07-16

    申请号：US17383407

    申请日：2021-07-22

    Applicant: Booz Allen Hamilton Inc.

    Inventor： Pawel Miroslaw Gradzki

    IPC: H04B11/00

    CPC classification number: H04B11/00

    Abstract: A communication system is disclosed. The communication system includes a communication device comprising one of a receiver, a transmitter, or a transceiver; and an acoustic lensing subsystem, wherein the acoustic lensing subsystem is configured to: convert electrical signals into acoustic signals; focus the acoustic signals to generate focused acoustic signals; and output the focused acoustic signals.

    Systems and methods for determining a position of a sensor device relative to an object
    4.
    发明授权
    Systems and methods for determining a position of a sensor device relative to an object 有权

    公开(公告)号：US11879984B2

    公开(公告)日：2024-01-23

    申请号：US17326810

    申请日：2021-05-21

    Applicant: Booz Allen Hamilton Inc.

    Inventor： James J. Ter Beest

    IPC: G01S19/48 ,  G01S19/37

    CPC classification number: G01S19/485 ,  G01S19/37

    Abstract: A method and system to determine the position of a moveable platform relative to an object is disclosed. The method can include storing one or more synthetic models each trained by one of the one or more synthetic model datasets corresponding to one or more objects in a database; capturing an image of the object by one or more sensors associated with the moveable platform; identifying the object by comparing the captured image of the object to the one or more synthetic model datasets; generating a first model output using a first synthetic model of the one or more synthetic models, the first model output including a first relative coordinate position and a first spatial orientation of the moveable platform; and generating a platform coordinate output and a platform spatial orientation output of the moveable platform at the first position based on the first model output.

    EDGE BASED ROUTING SOFTWARE INSTANCE, DEVICE AND METHOD
    7.
    发明公开
    EDGE BASED ROUTING SOFTWARE INSTANCE, DEVICE AND METHOD 审中-公开

    公开(公告)号：US20230246954A1

    公开(公告)日：2023-08-03

    申请号：US18162252

    申请日：2023-01-31

    Applicant: Booz Allen Hamilton Inc.

    Inventor： Jeffrey Robert Palumbo ,  Louis Edward Thiery

    IPC: H04L45/302 ,  H04L45/24 ,  H04L45/44

    CPC classification number: H04L45/3065 ,  H04L45/24 ,  H04L45/44

    Abstract: An edge based routing (EBR) software instance configured on a device for a multi-transport network architecture is disclosed, the edge based routing device including an edge based routing core having a processor configured for providing service model based data services and utility functions; a client application programming interface configured for receiving producer application data and for outputting consumer application data; and a proxy application programming interface configured for establishing network layer path selection connectivity between producer applications and consumer applications as a function of network conditions and/or capabilities.

    THERMAL MANAGEMENT SYSTEMS
    9.
    发明申请
    THERMAL MANAGEMENT SYSTEMS 有权

    公开(公告)号：US20230096113A1

    公开(公告)日：2023-03-30

    申请号：US17951447

    申请日：2022-09-23

    Applicant: Booz Allen Hamilton Inc.

    Inventor： Igor Vaisman ,  Joshua Peters

    IPC: F25B1/10

    Abstract: Thermal management techniques include: transporting a refrigerant fluid from a receiver to an inlet of a flash tank that has a vapor-side outlet and liquid-side outlet such that a liquid phase of the refrigerant fluid moves to a bottom of the flash tank and outputs from the liquid-side outlet; forming a solid-vapor state from the liquid phase by expanding the liquid phase with an expansion valve to a first pressure that is less than a triple point pressure to form a solid-vapor mixture of the refrigerant fluid; extracting heat from a heat load with an evaporator that receives the solid-vapor mixture of the refrigerant fluid and sublimates the solid state of the solid-vapor mixture of the refrigerant fluid directly into a vapor phase of the refrigerant fluid; and discharging, from an exhaust line, the vapor phase to an ambient environment without returning the vapor phase to the receiver.

    CONTINUOUSLY GENERALIZED ORDINAL REGRESSION
    10.
    发明申请
    CONTINUOUSLY GENERALIZED ORDINAL REGRESSION 有权

    公开(公告)号：US20230040110A1

    公开(公告)日：2023-02-09

    申请号：US17385105

    申请日：2021-07-26

    Applicant: Booz Allen Hamilton Inc.

    Inventor： Fred Sun LU ,  Edward Simon Paster RAFF

    IPC: G06F16/28 ,  G06N5/04

    Abstract: A method and system for configuring a computer for data classification using ordinal regression includes: receiving and storing a data set having data with a plurality of data features that have an ordinal relationship; generating a plurality of ordinal classification bins based on the relationship of the data features, at least one ordinal classification bin having walls defined by at least two hyperplanes; generating an ordinal regression model of the data set illustrating the data of the data set arranged into the plurality of ordinal classification bins; and tuning the slopes of the walls of the at least one ordinal classification bin based on the relationships between the plurality of data features of the data arranged within the at least one ordinal classification bin such that the slopes of the two hyperplanes defining the walls of the at least one ordinal classification bin are not parallel.

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