Thermal management systems
    81.
    发明授权

    公开(公告)号:US11561029B1

    公开(公告)日:2023-01-24

    申请号:US16666966

    申请日:2019-10-29

    Abstract: A thermal management system includes an open circuit refrigeration circuit that has a refrigerant fluid flow path, with the refrigerant fluid flow path including a receiver configured to store a refrigerant fluid, a first control device configured to receive refrigerant from the receiver, a liquid separator, and an evaporator configured to extract heat from a heat load that contacts the evaporator, with the evaporator coupled to the first control device and the liquid separator. The system includes a pump having an inlet and an outlet, with the outlet of the pump coupled to the liquid side outlet of the liquid separator and a second control device that is coupled to an exhaust line, that is coupled to the vapor side outlet of the liquid separator through the second control device. In operation, the evaporator in the open circuit refrigeration circuit would be coupled to a heat load.

    MODULAR PAYLOAD FOR UNMANNED VEHICLE

    公开(公告)号:US20230009466A1

    公开(公告)日:2023-01-12

    申请号:US17371215

    申请日:2021-07-09

    Abstract: Embodiments disclose a method for determining a payload platform configuration. The method involves receiving platform specifications, receiving payload specifications for a first payload and a second payload, and receiving operational constraints for a vehicle to which the platform and the second payload will be attached, the operational constraints being based on payload specifications for the first payload. The method involves using finite element analysis and/or dynamic load analysis to generate predictions about operational performance of the vehicle and corresponding properties of the platform, the predictions being based on payload specifications for the second payload. The method involves generating at least one of: a platform configuration that meets a predetermined operational performance of the vehicle, the platform configuration being based on payload specifications for the second payload; or an operational performance result for a predetermined platform configuration, the operational performance result being based on payload specifications for the second payload.

    System and method for digital image steganography detection using an ensemble of neural spatial rich models

    公开(公告)号:US11526959B2

    公开(公告)日:2022-12-13

    申请号:US17098037

    申请日:2020-11-13

    Abstract: Exemplary systems and methods are disclosed for detecting embedded data in a digital image. The system includes a processing device that extracts one or more features from a digital image and analyzes the one or more extracted features in a plurality of steganography analyzers, each steganography analyzer configured to execute a different steganography algorithm. The processing device generates an output data value at each steganography analyzer, the output data value indicating a probability that the digital image includes steganography according to the steganography algorithm of the steganography analyzer. Each output probability value is fed to an ensemble classifier, the ensemble classifier including a neural network in which the output probability values of the plurality of steganography analyzers are ensembled together to generate an output ensemble data value indicating a probability that the digital image includes any steganography according to the steganography algorithms of the steganography analyzers.

    EVALUATING AUTOMATIC MALWARE CLASSIFIERS IN THE ABSENCE OF REFERENCE LABELS

    公开(公告)号:US20220366043A1

    公开(公告)日:2022-11-17

    申请号:US17238248

    申请日:2021-04-23

    Abstract: Disclosed are methods and apparatuses for classifier evaluation. The evaluation involves constructing a ground truth refinement having a degree of error within specified bounds from a malware reference dataset as an approximate ground truth refinement. The evaluation further involves using the approximate ground truth refinement to determine at least one of: a lower bound on precision or an upper bound on recall and accuracy. The evaluation further involves evaluating a classifier by evaluating at least one of a classification method or clustering method by examining changes to the upper bound and/or the lower bound produced by the approximate ground truth refinement.

    Thermal management systems for extended operation

    公开(公告)号:US11448431B1

    公开(公告)日:2022-09-20

    申请号:US16666851

    申请日:2019-10-29

    Abstract: Thermal management systems include an open circuit refrigeration system featuring a first receiver configured to store a gas, a second receiver configured to store a liquid refrigerant fluid, an evaporator configured to extract heat from a heat load that contacts the evaporator, and an exhaust line, where the first receiver, the second receiver, the evaporator, and the exhaust line are connected to provide a refrigerant fluid flow path.

    Thermal management systems
    87.
    发明授权

    公开(公告)号:US11421917B1

    公开(公告)日:2022-08-23

    申请号:US16666995

    申请日:2019-10-29

    Abstract: A thermal management system includes an open circuit refrigeration circuit that has a refrigerant fluid flow path, with the refrigerant fluid flow path including a receiver configured to store a refrigerant fluid, a first control device configured to receive refrigerant from the receiver, a liquid separator, and an evaporator configured to extract heat from a heat load that contacts the evaporator, with the evaporator coupled to the first control device and the liquid separator. The system includes a pump having an inlet and an outlet, with the outlet of the pump coupled to the liquid side outlet of the liquid separator and a second control device that is coupled to an exhaust line, that is coupled to the vapor side outlet of the liquid separator through the second control device. In operation, the evaporator in the open circuit refrigeration circuit would be coupled to a heat load.

    METHODS AND SYSTEMS FOR EXPLAINING A DECISION PROCESS OF A MACHINE LEARNING MODEL

    公开(公告)号:US20210350004A1

    公开(公告)日:2021-11-11

    申请号:US16866997

    申请日:2020-05-05

    Abstract: A method and system for explaining a decision process of a machine learning model that includes inputting into a machine learning model a first input data file; receiving a first output data file from the machine learning model based on the first input data file; executing an adversarial attack on the machine learning model, creating a mapping of the one or more units of data of the first input data file with changes by the adversarial attack exceeding a first threshold to one or more segments of the first input data file; determining a density of the changes to the one or more units of data in each of the one or more segments; and displaying the one or more segments of the first input data file having a density of changes to the one or more units of data exceeding a second threshold via a graphical user interface.

    Pressure Vessel Leak Detection System

    公开(公告)号:US20210318201A1

    公开(公告)日:2021-10-14

    申请号:US16843278

    申请日:2020-04-08

    Abstract: Disclosed is a fluid leak detection system for monitoring leaks in a pressurized vessel. The system includes a temperature sensor, a pressure sensor, and a processing module. The processing module is configured to any one or combination of: compare a temperature output from the temperature sensor to a reference temperature to produce a temperature differential; or compare a pressure output from the pressure sensor to a reference pressure to produce a pressure differential. The processing module is configured to any one or combination of: monitor the pressure differential to indicate when a leak occurs in a pressurized vessel; or monitor the temperature differential to indicate when a leak occurs in a pressurized vessel. The processing module is configured to generate an alert when a leak is detected.

    System and Method for Assessing an Operating Condition of an Asset

    公开(公告)号:US20210089907A1

    公开(公告)日:2021-03-25

    申请号:US17029333

    申请日:2020-09-23

    Abstract: An exemplary mobile apparatus for assessing an operating condition of an asset. The mobile device includes at least one sensor device for acquiring data related to one or more operational or environmental characteristics of an asset during operation. The mobile device further includes a processing device encoded with a neural network architecture having one or more models trained to identify one or more operating conditions of one or more assets according to asset type. The processing device can determine an operating condition of the asset by extracting features from the acquired data and comparing attributes of the extracted features to attributes of at least one known operating condition determined through training of the models. The mobile device can also include an output interface to output a result of the determination performed by the processing device, which can include communicating the result to a remote device.

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