Abstract: Methods for forming a dual-phase magnetic component from an initial component comprising a non-magnetic austenite composition are provided. The method may include: forming a coating on a portion of the surface of the initial component to form a masked area while leaving an unmasked area thereon. Thereafter the initial component may be heated to a treatment temperature such that nitrogen diffuses out of the unmasked area of the initial component to transform the non-magnetic austenite composition to a magnetic phase in the unmasked area. Thereafter, the initial component may be cooled from the treatment temperature to form a dual-phase magnetic component having a magnetic region corresponding to the unmasked area and a non-magnetic region corresponding to the masked area.

Abstract: The disclosed technology relates to a process for optimizing data flow within a computer network. The technology utilizes shared memory and machine learning logic to improve the efficiency of how computing resources are used during a transmission of data packets in the computer network. The shared memory is implemented during the transmission of data packets between the data plane and the service plane so that the copying of data packets after the data packets have been received and processed by an application is not necessary. The machine learning logic is implemented during the processing of the data packets in order to adjust a frequency or extent that the data packets (and corresponding source of the data packets) need to be evaluated to ensure that malicious content is not being transmitted across the computer network.

Abstract: This disclosure provides systems, methods and apparatus, including computer programs encoded on computer storage media, to mitigate a denial of service attack to a power line communication (PLC) network. A first node of the PLC network may activate a countermeasure that enables the PLC network (including the first node and a second node) to continue to communicate when one or more transmissions associated with a denial of service attack are injected onto the communication medium. This disclosure includes several techniques to detect a denial of service attack and several countermeasures that may be implemented. For example, a countermeasure may include the use of a custom preamble or a custom priority resolution symbol that is specific to the PLC network. The first node and the second node may disregard transmissions that do not conform to the custom preamble or custom priority resolution symbol.

Abstract: A nickel-based braze alloy composition is described, including nickel, about 1 weight % to about 5 weight % boron (B); and about 1 weight % to about 20 weight % germanium (Ge). The composition is free of any silicon. Superalloy articles that contains a crack or other type of void or gap filled with the nickel-based braze alloy composition are also described, along with methods for filling such a gap. Related articles of manufacture and brazing processes to join metal components are also disclosed.

Abstract: Techniques for using ball joint sensor data to determine conditions relevant to a vehicle are described in this disclosure. For example, in one example, the ball joint sensor data may be used to determine estimated steering data. The estimated steering data may be directly used to navigate through an environment, such as by the vehicle relying on the estimated steering data when planning, tracking, or executing a driving maneuver. Also, the estimated steering data may be used to verify the reliability of other steering sensor data used to navigate through the environment.

Abstract: Techniques for using ball joint sensor data to determine conditions relevant to a vehicle are described in this disclosure. For example, in one example, the ball joint sensor data may be used to determine a ride height at a portion of the vehicle, which may be used to determine roll data and/or pitch data. The ride height, roll data, and/or pitch data may be directly used to navigate through an environment, such as by the vehicle relying on the data when interpreting sensor data or planning driving operations. Also, the ride height, roll data, and/or pitch data may be used to verify the reliability of other sensor data used to navigate through the environment.

Abstract: The disclosed technology relates to a process for optimizing data flow within a computer network. The technology utilizes shared memory and machine learning logic to improve the efficiency of how computing resources are used during a transmission of data packets in the computer network. The shared memory is implemented during the transmission of data packets between the data plane and the service plane so that the copying of data packets after the data packets have been received and processed by an application is not necessary. The machine learning logic is implemented during the processing of the data packets in order to adjust a frequency or extent that the data packets (and corresponding source of the data packets) need to be evaluated to ensure that malicious content is not being transmitted across the computer network.

Abstract: A nickel-based braze alloy composition includes nickel, about 1 weight % to about 5 weight % boron (B); and about 1 weight % to about 20 weight % germanium (Ge). The composition is free of any silicon. Superalloy articles having a crack or other type of void or gap may be filled with the nickel-based braze alloy composition. Methods for filling such a gap are described.

Abstract: A composition includes, by weight percent: Cobalt (Co) between about 4.5 and about 7.0; Chromium (Cr) between about 10.2 and about 11.5; Molybdenum (Mo) between about 0.5 and about 2.5; Tungsten (W) between about 4.0 and about 5.5; Rhenium (Re) between about 0 and about 1.2; Aluminum (Al) between about 6.2 and about 6.8; Tantalum (Ta) between about 4.5 and about 6.0; Titanium (Ti) between about 0 and about 0.5; Hafnium (Hf) between about 0 and about 0.5; Carbon (C) between about 0 and about 0.2; Boron (B) between about 0 and about 0.02; and the balance Nickel (Ni), and other incidental impurities.

Abstract: A dual phase magnetic component, along with methods of its formation, is provided. The dual phase magnetic component may include an intermixed first region and second region formed from a single material, with the first region having a magnetic area and a diffused metal therein, and with the second region having a non-magnetic area. The second region generally has greater than 0.1 weight % of nitrogen.

Abstract: A dual phase magnetic component, along with methods of its formation, is provided. The dual phase magnetic component may include an intermixed first region and second region formed from a single material, with the first region having a magnetic area and a diffused metal therein, and with the second region having a non-magnetic area. The second region generally has greater than 0.1 weight % of nitrogen.

Abstract: Techniques for using ball joint sensor data to determine conditions relevant to a vehicle are described in this disclosure. For example, in one example, the ball joint sensor data may be used to determine a ride height at a portion of the vehicle, which may be used to determine roll data and/or pitch data. The ride height, roll data, and/or pitch data may be directly used to navigate through an environment, such as by the vehicle relying on the data when interpreting sensor data or planning driving operations. Also, the ride height, roll data, and/or pitch data may be used to verify the reliability of other sensor data used to navigate through the environment.

Abstract: Techniques for using ball joint sensor data to determine conditions relevant to a vehicle are described in this disclosure. For example, in one example, the ball joint sensor data may be used to determine estimated steering data. The estimated steering data may be directly used to navigate through an environment, such as by the vehicle relying on the estimated steering data when planning, tracking, or executing a driving maneuver. Also, the estimated steering data may be used to verify the reliability of other steering sensor data used to navigate through the environment.

Abstract: Methods for forming a dual-phase magnetic component from an initial component comprising a non-magnetic austenite composition are provided. The method may include: forming a coating on a portion of the surface of the initial component to form a masked area while leaving an unmasked area thereon. Thereafter the initial component may be heated to a treatment temperature such that nitrogen diffuses out of the unmasked area of the initial component to transform the non-magnetic austenite composition to a magnetic phase in the unmasked area. Thereafter, the initial component may be cooled from the treatment temperature to form a dual-phase magnetic component having a magnetic region corresponding to the unmasked area and a non-magnetic region corresponding to the masked area.

Abstract: A dual phase magnetic component, along with methods of its formation, is provided. The dual phase magnetic component may include an intermixed first region and second region formed from a single material, with the first region having a magnetic area and a diffused metal therein, and with the second region having a non-magnetic area. The second region generally has greater than 0.1 weight % of nitrogen.

Abstract: A composition includes, by weight percent: Cobalt (Co) between about 4.5 and about 7.0; Chromium (Cr) between about 10.2 and about 11.5; Molybdenum (Mo) between about 0.5 and about 2.5; Tungsten (W) between about 4.0 and about 5.5; Rhenium (Re) between about 0 and about 1.2; Aluminum (Al) between about 6.2 and about 6.8; Tantalum (Ta) between about 4.5 and about 6.0; Titanium (Ti) between about 0 and about 0.5; Hafnium (Hf) between about 0 and about 0.5; Carbon (C) between about 0 and about 0.2; Boron (B) between about 0 and about 0.02; and the balance Nickel (Ni), and other incidental impurities.

Abstract: The disclosed technology relates to a process for optimizing data flow within a computer network. The technology utilizes shared memory and machine learning logic to improve the efficiency of how computing resources are used during a transmission of data packets in the computer network. The shared memory is implemented during the transmission of data packets between the data plane and the service plane so that the copying of data packets after the data packets have been received and processed by an application is not necessary. The machine learning logic is implemented during the processing of the data packets in order to adjust a frequency or extent that the data packets (and corresponding source of the data packets) need to be evaluated to ensure that malicious content is not being transmitted across the computer network.

Abstract: An impact energy management system for a vehicle includes an impact energy absorbing structure to absorb energy from an impact with an external object, and an energy management structure to manage energy from an impact with an internal displaceable object (e.g., a motor or steering rack) with one or more protected objects (e.g., a passenger compartment or battery). The energy management structure may include one or more swingarms or other members configured to protect the protected object from impact by directing the displaceable object down and/or away from the protected object during a collision.

Abstract: The disclosed technology relates to a process for optimizing data flow within a computer network. The technology utilizes shared memory and machine learning logic to improve the efficiency of how computing resources are used during a transmission of data packets in the computer network. The shared memory is implemented during the transmission of data packets between the data plane and the service plane so that the copying of data packets after the data packets have been received and processed by an application is not necessary. The machine learning logic is implemented during the processing of the data packets in order to adjust a frequency or extent that the data packets (and corresponding source of the data packets) need to be evaluated to ensure that malicious content is not being transmitted across the computer network.

Abstract: An impact structure includes a beam configured to deform in a particular manner. The beam may include a first deformable portion extending from a front end of the beam toward a rear end of the beam. The first deformable portion may be configured to axially crush in a direction substantially parallel to a longitudinal direction of the beam. The beam may also include a second deformable portion extending between the first deformable portion and the rear end. The beam may also include a reinforced section configured to cause the second deformable portion to bend. The first and second deformable portions may be configured such that an axial force acting on the front end in a direction substantially parallel to the longitudinal direction causes the first deformable portion to axially crush prior to causing the second deformable portion to bend.