Abstract: Methods and apparatuses are described for user authentication in a three-dimensional (3D) alternative reality software application. A computing device coupled to an alternative reality viewing device generates a 3D virtual environment for display in the alternative reality viewing device, the 3D virtual environment comprising a plurality of 3D objects. The computing device identifies a subset of the plurality of 3D objects selected by the user of the alternative reality viewing device. The computing device captures a first set of actions of the user with respect to the subset of 3D objects, including recording a sequence of the first set of actions. The computing device generates a multidimensional authentication credential for the user based upon the first set of actions and stores the multidimensional authentication credential in a database.

Abstract: Methods for controlling in real time an aspect of a process in a mobile or wearable device with a cadence of the device user are described, where the cadence of the device user is determined with an update frequency greater than the user's step frequency, and the controlling is also performed with an update frequency greater than the user's step frequency. For example, the determination of the user's cadence may leverage a combination of frequency and time techniques, with the analysis of, for instance, substantial orientation changes experienced by the device, or the detection of abrupt changes in the user's cadence.

Abstract: An explosive composition for use in telescopically expanding non-lethal training ammunition comprises tetrazene and paraffin wax. The explosive composition can be used as a primer and/or as a source of energetic material in a telescopically expanding non-lethal training cartridge; it can be used to propel a projectile from a telescopically expanding non-lethal training cartridge; and/or it can be used to expand telescopically a non-lethal training cartridge within a host gun.

Abstract: A system can perform certain acts. The acts can include storing electronic receipts for a user in a database. The acts can further include receiving, from an electronic device of the user, product identification information. The acts can also include searching the electronic receipts to identify two or more of the electronic receipts listing a product referenced by the product identification information. Additionally, the acts can include facilitating a simultaneous display, on the electronic device of the user, of each respective electronic receipt of the two or more of the electronic receipts. The simultaneous display can include an overall view of the respective electronic receipt and an individual item view for the product listed in the respective electronic receipt.

Abstract: A system includes a processor configured to wirelessly communicate with a mobile device application. The processor is further configured to receive a vehicle-command from the mobile device application and send a wireless instruction to a vehicle instructing an action corresponding to and responsive to the received vehicle command.

Abstract: A number of beams that can be coupled into an optical fiber can be increased using emitted beams having greater divergence, thus providing increased beam power. Alternatively, with a fixed number of emitters, total optical power can be maintained with fewer beams in an output beam with a smaller numerical aperture.

Abstract: Systems, methods, and non-transitory computer-readable media for continuously monitoring residential air quality and providing a trend based analysis regarding various air pollutants are presented herein. The system comprises an air quality monitor located in a residential house, wherein the air quality monitor is configured to measure the level of an air pollutant. The system also includes a server that is communicatively coupled to the air quality monitor, wherein the server is configured to generate a unique environmental fingerprint associated with the residential house.

Abstract: A method for receiving training data for training a neural network to perform a machine learning task and for searching for, using the training data, an optimized neural network architecture for performing the machine learning task is described. Searching for the optimized neural network architecture includes: maintaining population data; maintaining threshold data; and repeatedly performing the following operations: selecting one or more candidate architectures from the population data; generating a new architecture from the one or more selected candidate architectures; for the new architecture: training a neural network having the new architecture until termination criteria for the training are satisfied; and determining a final measure of fitness of the neural network having the new architecture after the training; and adding data defining the new architecture and the final measure of fitness for the neural network having the new architecture to the population data.

Abstract: Apparatus include a first laser diode situated to emit a beam from an exit facet along an optical axis, the beam as emitted having perpendicular fast and slow axes perpendicular to the optical axis, a first fast axis collimator (FAC) optically coupled to the beam as emitted from the exit facet and configured to direct the beam along a redirected beam axis having a non-zero angle with respect to the optical axis of the first laser diode, a second laser diode situated to emit a beam from an exit facet of the second laser diode along an optical axis parallel to the optical axis of the first laser diode and with a slow axis in a common plane with the slow axis of the first laser diode, and a second fast axis collimator (FAC) optically coupled to the beam as emitted from the exit facet of the second laser diode and configured to direct the beam along a redirected beam axis having a non-zero angle with respect to the optical axis of the second laser diode.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing images using an image processing neural network system. One of the systems includes a domain transformation neural network implemented by one or more computers, wherein the domain transformation neural network is configured to: receive an input image from a source domain; and process a network input comprising the input image from the source domain to generate a transformed image that is a transformation of the input image from the source domain to a target domain that is different from the source domain.

Abstract: Systems and methods for mobile-initiated in-store return of products are provided. An example system can include: an order management module (OMM) configured to store in a first database completed transactions and associated electronic receipts for customers; a mobile device having a mobile application installed thereon and configured to query and receive from the OMNI selection of products for return; a return management module (RMM) configured to apply rules to validate the return based on the information about the selected product; and a return station configured to verify and complete the return.

Abstract: Systems and methods can determine respiratory rates of a patient using a respiratory device by performing one or more frequency analyses of a signal from the gases flow. The signal from the gases flow can be one that varies with the patients breathing. The system can include a non-sealed patient interface, such as a nasal cannula in a nasal high flow therapy, or any other patient interfaces. The respiratory system can also detect whether the patient has taken off the patient interface and/or whether the patient connected to the patient interface is talking or eating. Data of the patients use of the respiratory system and the patients respiratory rates can provide therapy compliance and long-term trend of use information and/or progress in the patients respiratory functions and/or other physiological functions.

Abstract: Methods for controlling a mobile or wearable device user's representation in real time are described, where the user is performing a gait activity with a gait velocity, and the gait velocity is used for control. Additional user's mobility characteristics leveraged for control may include cadence and stride length, and the sensors utilized to obtain any contextual information may be accelerometers.

Abstract: A light engine for a nano-arthroscope assembly includes a light source, wherein the light source includes a light emitting diode (LED) mounted to a circuit board; a collimating optic positioned proximate to the LED, wherein the collimating optic collimates light emitted from the LED and increases an intensity of the light emitted from the LED; a ball lens positioned to receive the light collimated by the collimating optic, wherein the ball lens focuses the received light to a focal point outside of the ball lens; and a bundle of light fibers positioned proximate to the ball lens, wherein the bundle of light fibers includes a first end that is positioned at the focal point of the light focused by the ball lens such that the light is coupled into the first end of the bundle of light fibers at the focal point.

Abstract: The subject matter discussed herein relates to the automatic, real-time registration of pre-operative magnetic resonance imaging (MRI) data to intra-operative ultrasound (US) data (e.g., reconstructed images or unreconstructed data), such as to facilitate surgical guidance or other interventional procedures. In one such example, brain structures (or other suitable anatomic features or structures) are automatically segmented in pre-operative and intra-operative ultrasound data. Thereafter, anatomic structure (e.g., brain structure) guided registration is applied between pre-operative and intra-operative ultrasound data to account for non-linear deformation of the imaged anatomic structure. MR images that are pre-registered to pre-operative ultrasound images are then given the same nonlinear spatial transformation to align the MR images with intra-operative ultrasound images to provide surgical guidance.

Abstract: A method for purchasing an item using a mobile device is provided. The method includes but is not limited to inputting identification information into the mobile device which identifies the item for purchase and generating an order for the item identified by the identification information. The method also includes but is not limited to displaying on a display of the mobile device an optical machine-readable representation of the order.

Abstract: This disclosure is directed to vehicle fuel fill control systems for anticipating vehicle refueling events in order to control the timing of fuel tank depressurization sequences. In a first embodiment, a global positioning system (GPS) is utilized to anticipate the vehicle refueling event prior to initializing the depressurization sequence. In another embodiment, a camera system is utilized to anticipate the refueling event prior to initializing the depressurization sequence. In yet another embodiment, both the GPS and the camera system may be utilized to anticipate the refueling event. By anticipating refueling events, customer wait time for gaining refueling access may be reduced.

Abstract: Systems, methods, and computer-readable media are presented herein for providing lower level physical-layer gateway functionalities and upper-level application functionalities; a system designed with flexible configurations in order to support a wide range of connected applications. The system includes a processor that executes machine instructions to perform operations. The operations comprise: receiving sensor data from a sensor device located in a building; converting the sensor data from a raw state to a physical measurement; and activating an abatement device situated in the building as a function of the physical measurement.

Abstract: The subject matter discussed herein relates to multi-modal image alignment to facilitate biopsy procedures and post-biopsy procedures. In one such example, prostate structures (or other suitable anatomic features or structures) are automatically segmented in pre-biopsy MR and pre-biopsy ultrasound images. Thereafter, pre-biopsy MR and pre-biopsy ultrasound contours are aligned. To account for non-linear deformation of the imaged anatomic structure, a patient-specific transformation model is trained via deep learning based at least in part on the pre-biopsy ultrasound images. The pre-biopsy ultrasound images that are overlaid with the pre-biopsy MR contours and based off the deformable transformation model are then aligned with the biopsy ultrasound images. Such real-time alignment using multi-modality imaging techniques provides guidance during the biopsy and post-biopsy system.

Abstract: A guard for a welding gun having a trigger and a body includes a plate having two elongated sides, two ends, a front, and a back, and a first pair of flanges extending from the elongated sides of the plate and forming a first open channel with the back of the plate. A biasing member is secured to the back of the plate. The plate is pivotally secured to the welding gun body by fasteners engaging the first pair of flanges and the welding gun body, and at least a portion of the back of the plate overlies the welding gun trigger. A user may only activate the gun by applying enough pressure to the plate to engage the trigger. When the user is not applying the required pressure, the spring-biasing mechanism prevents the trigger from being pressed.