Abstract: Fuel pellets can include a fission material powder, a protective layer coated on the fission material powder, and an oxidation diffusion barrier coated on the protective layer, with the protective layer and oxidation diffusion barrier being formed through ALD to achieve infiltration of the coatings within the fuel pellets.

Abstract: Systems and methods are disclosed herein for a pedestrian crossing warning system that may use multi-modal technology to determine attributes of a person and provide a warning to the person in response to a calculated risk level to effect a reduction of the risk level. The system may utilize sensors to receive data indicative of a trajectory of a person external to the vehicle. Specific attributes of the person such as age or walking aids may be determined. Based on the trajectory data and the specific attributes, a risk level may be determined by the system using a machine learning model. The system may cause emission of a warning to the person in response to the risk level.

Abstract: A gas enclosure of can include a refractory metal liner adapted to surround and enclose a gas to be contained; a ceramic matrix composite cladding; and a diffusion barrier layer disposed between the refractory metal liner and the ceramic matrix composite cladding.

Abstract: Provided herein is a moderation module and a thermal neutron micro-reactor.

Abstract: Provided herein is a hydrogen permeation barrier coating, a coated substrate, and methods of coating a substrate.

Abstract: Apparatuses, systems, and techniques are presented to recognize speech in an audio signal. In particular, various embodiments can indicate an end of one or more speech segments based, at least in part, on one or more characters predicted to be within these one or more speech segments.

Abstract: Systems and methods are disclosed herein for implementation of a vehicle command operation system that may use multi-modal technology to authenticate an occupant of the vehicle to authorize a command and receive natural language commands for vehicular operations. The system may utilize sensors to receive data indicative of a voice command from an occupant of the vehicle. The system may receive second sensor data to aid in the determination of the corresponding vehicular operation in response to the received command. The system may retrieve authentication data for the occupants of the vehicle. The system authenticates the occupant to authorize a vehicular operation command using a neural network based on at least one of the first sensor data, the second sensor data, and the authentication data. Responsive to the authentication, the system may authorize the operation to be performed in the vehicle based on the vehicular operation command.

Abstract: Provided herein are thermionic converters that are capable of operating at lower temperatures and with increased efficiency as compared to conventional thermionic converters. Also provided are methods of using and making the thermionic converters of the disclosure.

Abstract: The disclosure is directed to a process that can predict and prevent an audio artifact from occurring. The process can monitor the systems, processes, and execution threads on a larger system/device, such as a mobile or in-vehicle device. Using a learning algorithm, such as deep neural network (DNN), the information collected can generate a prediction of whether an audio artifact is likely to occur. The process can use a second learning algorithm, which also can be a DNN, to generate recommended system adjustments that can attempt to prevent the audio glitch from occurring. The recommendations can be for various systems and components on the device, such as changing the processing system frequency, the memory frequency, and the audio buffer size. After the audio artifact has been prevented, the system adjustments can be reversed fully or in steps to return the system to its state prior to the system adjustments.

Abstract: An adsorptive material for adsorption of a noble gas can include a mesoporous support material having a plurality of pores and a pattern of metal atoms deposited onto the mesoporous support material.

Abstract: The disclosure is directed to a process that can predict an audio glitch, and then attempt to preempt the audio glitch. The process can monitor the systems, processes, and execution threads on a larger system or device, such as a mobile device or an in-vehicle device. Using a learning algorithm, such as deep neural network (DNN), the information collected can generate a prediction of whether an audio glitch is likely to occur. An audio glitch can be an audio underrun condition. The process can use a second learning algorithm, which also can be a DNN, to generate recommended system adjustments that can attempt to prevent the audio glitch from occurring. The recommendations can be for various systems and components on the device, such as changing the processing system frequency, the memory frequency, and the audio buffer size. After the audio underrun condition has abated, the system adjustments can be reversed fully or in steps to return the system to its state prior to the system adjustments.

Abstract: The disclosure is directed to a process that can predict an audio glitch, and then attempt to preempt the audio glitch. The process can monitor the systems, processes, and execution threads on a larger system or device, such as a mobile device or an in-vehicle device. Using a learning algorithm, such as deep neural network (DNN), the information collected can generate a prediction of whether an audio glitch is likely to occur. An audio glitch can be an audio underrun condition. The process can use a second learning algorithm, which also can be a DNN, to generate recommended system adjustments that can attempt to prevent the audio glitch from occurring. The recommendations can be for various systems and components on the device, such as changing the processing system frequency, the memory frequency, and the audio buffer size. After the audio underrun condition has abated, the system adjustments can be reversed fully or in steps to return the system to its state prior to the system adjustments.

Abstract: A method loading powder into a mold can include immersing the mold comprising one or more microchannels into a suspension comprising the powder and a surfactant suspended in a dispersant, wherein the powder comprises particles having an average particle size of less than 100 ?m, wherein the mold is substantially entirely covered by the suspension; heating the suspension having the mold immersed therein under a temperature condition suitable to lower the stability of the particles of the powder in the suspension such that the particles settle out of solution and into the one or more microchannels; and applying an ultrasonic wave to the heated suspension to further settle the particles of the powder into the one or more microchannels thereby filling the one or more microchannels of the mold with the powder.

Abstract: A method for maintaining timing accuracy in a mobile device includes: obtaining a range estimate using a signal received from a timing information source via a communication unit of the mobile device; obtaining position and velocity estimate information for the mobile device from a source of position and velocity information separate from the timing information source, the position and velocity estimate information being obtained from at least one sensor of the mobile device, or via a communication unit of the mobile device using a Vehicle-to-Everything wireless communication protocol, or a combination thereof; determining estimated clock parameters based on the position and velocity estimate information and the range estimate; and adjusting a clock of the mobile device based on the estimated clock parameters in response to a position-and-velocity-assisted timing uncertainty corresponding to the estimated clock parameters being below a timing uncertainty threshold.

Abstract: Provided herein are methods of forming a composite matrix on a porous substrate or a non-porous substrate, the methods including subjecting the substrate to a first deposition method to apply a first coating including first ceramic or metallic particles and form a coated substrate and subjecting the coated substrate to atomic layer deposition to apply a second coating and form the composite matrix, wherein the second coating includes second ceramic or metallic particles.

Abstract: Provided herein are methods of forming a composite matrix on a porous substrate or a non-porous substrate, the methods including subjecting the substrate to a first deposition method to apply a first coating including first ceramic or metallic particles and form a coated substrate and subjecting the coated substrate to atomic layer deposition to apply a second coating and form the composite matrix, wherein the second coating includes second ceramic or metallic particles.

Abstract: A method of determining the position of a user in 3D space is disclosed. In one example, the method comprises utilizing range measurements from one or more GPS satellite vehicles, angular information of a camera located at the user position, and a camera image associated with one or more known markers. The method further comprises determining the angular information of the camera by determining a direction cosine matrix between a camera frame of reference and an earth frame of reference, and designating unit vectors that individually extend from a position within the camera image associated with one of the known markers through the camera focal point to the respective known marker The method also includes integrating into an ordinary least squares matrix, the GPS range measurements, the angular information of the camera, and the unit vectors, and calculating the user position by solving the ordinary least squares matrix.

Abstract: A method of determining the position of a user in 3D space is disclosed. In one example, the method comprises utilizing range measurements from one or more GPS satellite vehicles, angular information of a camera located at the user position, and a camera image associated with one or more known markers. The method further comprises determining the angular information of the camera by determining a direction cosine matrix between a camera frame of reference and an earth frame of reference, and designating unit vectors that individually extend from a position within the camera image associated with one of the known markers through the camera focal point to the respective known marker The method also includes integrating into an ordinary least squares matrix, the GPS range measurements, the angular information of the camera, and the unit vectors, and calculating the user position by solving the ordinary least squares matrix.