Abstract: Rate of deceleration is an important factor in determining the severity of injuries, such as head and neck injuries, possibly sustained when participants collide with a wall assembly while playing, for example, ice hockey. The described wall assemblies each include a support assembly and a movable wall assembly supported by and movable with respect to the support assembly. Telescoping parts of the movable wall assembly enable deflection of the movable wall assembly to complex angles with respect to the support assembly. In addition, movable wall assemblies can be coupled such that impact on one wall assembly can cause deflection of an adjacent wall assembly. Covers, shields, and spacers can be positioned to decrease gap formation during deflection of the movable wall assembly to reduce the risk of pinch points.

Abstract: A method and system for detecting facial expressions in digital images and applications therefore are disclosed. Analysis of a digital image determines whether or not a smile and/or blink is present on a person's face. Face recognition, and/or a pose or illumination condition determination, permits application of a specific, relatively small classifier cascade.

Abstract: Presented are methods and systems for a software agent in an AP to recognize a service type used by a wireless communication station and optimize the wireless communication network's operation. Methods comprise acquiring communication status from a communication apparatus that may comprise a wireless communication station, a wireless LAN, wired LAN, and/or a broadband connection; learning a classifier that maps the acquired communication status to service types by analyzing historical communication status; and recognizing the service type of a wireless communication station by inputting a current communication status to the classifier. The recognized service type may be used to diagnose the operation of communication networks and stations coupled to the AP and to optimize the operation of such communication networks and stations.

Abstract: This document relates to distributed teleconferencing. Some implementations can employ personalized enhancement models to enhance microphone signals for participants in a call. Further implementations can perform proximity-based mixing, where microphone signals received from devices in a particular room can be omitted from playback signals transmitted to other devices in the same room. These techniques can allow enhanced call quality for teleconferencing sessions where co-located users can employ their own devices to participate in a call with other users.

Abstract: A system may include a base station central unit and a base station distributed unit. The base station central unit may include one or more processors and memory storing instructions that, when executed by the one or more processors, cause the base station central unit to send, to the base station distributed unit, an indication that a cell is associated with a first non-public network (NPN); and to send, to the base station distributed unit, a request for configuration of the cell for a wireless device that supports the first NPN. The base station distributed unit may include one or more processors and memory storing instructions that, when executed by the one or more processors, cause the base station distributed unit to receive the indication and the request for configuration of the cell.

Abstract: A method includes generating a first vector associated with a token using a first set of parameters of a first learning model based on the token, determining a prediction indicating that the token is associated with a first label based on a set of clustering criteria, the first vector, vectors of a first vector set, and vectors of a second vector. The method includes generating a perturbed vector associated with a second label by modifying a value of the first vector and updating the second vector set to comprise the perturbed vector. The method also includes generating a synthesized token associated with the second vector set based on the perturbed vector using a second set of parameters of the first learning model and training a second learning model based on the synthesized token.

Abstract: The performance of a neural network (NN) and/or deep neural network (DNN) can limited by the number of operations being performed as well as management of data among the various memory components of the NN/DNN. A sparsity-inducing regularization optimization process is performed on a machine learning model to generate a compressed machine learning model. A machine learning model is trained using a first set of training data. A sparsity-inducing regularization optimization process is executed on the machine learning model. Based on the sparsity-inducing regularization optimization process, a compressed machine learning model is received. The compressed machine learning model is executed to generate one or more outputs.

Abstract: A fitness machine providing shock absorption for a user operating the fitness machine. The fitness machine includes a base, at least one member engageable by the user and moveable relative to the base during operation of the fitness machine, and a resilient body that resists movement of the at least one member towards the base so as to provide shock absorption for the user, wherein the resistance provided by the resilient body is adjustable. The fitness machine further includes a control system configured to receive from the user a shock setting corresponding to how much shock absorption is desired, and to receive other than from the user a secondary input, wherein the control system is further configured to adjust the resistance provided by the resilient body based on the shock setting and the secondary input.

Abstract: “Just in time” operational techniques allow equipment of swimming pools or spas to achieve identified water temperatures at specified times. A user may supply information such as a desired water temperature (i.e. a temperature set point) and a time at which the water is desired to be at the desired temperature. After receiving the user-supplied information, software may account as well for certain environmental conditions to devise a suitable schedule for controlling heating of the water of the swimming pool or spa. Adjustments may be made to the schedule based on then-current water temperatures or other changed conditions.

Abstract: A method for aerial-based event notification includes detecting a trigger event with one or more electronic units of a system. The system includes a telematics unit, a drone having one or more notification actuators, and a tether that connects the drone to the system. The method further includes launching the drone with the telematics unit in response to the trigger event, waiting a predetermined time after the trigger event, retracting the drone in response to a subsequent event being undetected within the predetermined time after the trigger event, detecting the subsequent event with the one or more electronic units, placing the drone in an alert configuration in response to detecting the subsequent event within the predetermined time after the trigger event, and generating one or more alert notifications from the one or more notification actuators while the drone is in the alert configuration.

Abstract: A building includes a prefabricated modular stair or elevator module. The prefabricated stair or elevator module may form either a fully functional stairwell with an internally supported internal landing and handrails, or a fully functional elevator shaft ready to install an elevator system through a plurality of engagement features. Each prefabricated stair/elevator module includes four vertical members extending orthogonally from a reference plane, four transverse members forming transverse edges of the module, and four longitudinal members forming longitudinal edges of the module. The prefabricated modules may be stacked upon one another and fixedly attached to one another through fastening members and fasteners. Furthermore, each module may be covered in wall panels such that each module forms a segment of either an elevator shaft or a stairwell.

Abstract: A system for hydraulically fracturing an underground formation in an oil or gas well, including a pump for pumping hydraulic fracturing fluid into the wellbore, the pump having a pump shaft, and an electric motor with a motor shaft mechanically attached to the pump to drive the pump. The system further includes a torsional coupling connecting the motor shaft to the pump shaft. The torsional coupling includes a motor component fixedly attached to the motor shaft and having motor coupling claws extending outwardly away from the motor shaft, and a pump component fixedly attached to the pump shaft of the pump and having pump coupling claws extending outwardly away from the pump shaft. The motor coupling claws engage with the pump coupling claws so that when the motor shaft and motor component rotate, such rotation causes the pump component and the pump shaft to rotate, thereby driving the pump.

Abstract: An electrically heated aerosol-generating device is configured for use with a consumable cartridge including a storage portion containing an aerosol-forming substrate and having a fluid permeable internal surface surrounding an open-ended passage extending through the cartridge. The device includes a housing having a cavity for receiving the cartridge and a heater assembly positioned in the cavity. The heater assembly includes an electrically conductive hollow shaft portion connected to the housing and an electric heater positioned along the hollow shaft portion and having at least one heating element for heating the aerosol-forming substrate. The hollow shaft portion defines an airflow passage forming part of an airflow pathway through the device and is arranged to extend into the open-ended passage of the cartridge. The hollow shaft portion comprises a plurality of apertures, and the heating element is one or more narrow regions of the hollow shaft portion between adjacent apertures.

Abstract: In an example in accordance with the present disclosure, a heat exchanger assembly is described. The heat exchanger assembly includes a shipping container with an interior cavity. The heat exchanger assembly also includes a heat exchanger core supported by the shipping container. The heat exchanger assembly further includes a fan supported by the shipping container. The fan is to cause air to move into the interior cavity, flow through the heat exchanger core, and exit out of the shipping container.

Abstract: A current sensor system includes a current sensor integrated circuit (IC) and a printed circuit board (PCB) having a ground plane with a feature configured to reduce an eddy current. The current sensor IC includes a lead frame comprising a die attach pad and at least one lead, a semiconductor die having a first surface attached to the die attach pad and a second, opposing surface, at least one magnetic field sensing element supported by the semiconductor die and configured to sense a current in a proximate primary conductor, and a non-conductive mold material enclosing the semiconductor die and a portion of the at least one lead. The PCB ground plane feature can take various forms such as a hole of a dimension larger than the current sensor IC, elongated cuts, or x-shaped cuts.

Abstract: Systems and methods for deferring interactions with web data. An example computer-implemented method includes displaying, by a web browser, a web page; receiving, by a web browser, a selection of a quick note link displayed within the web browser; receiving a payload of the quick note link, the payload including note properties for generating a note; based on receiving the payload of the quick note link, launching a browser-based notes application within the web browser; transmitting the payload to the browser-based notes application to cause a new note to be created; and displaying the note within the web browser concurrently with the web page.

Abstract: Systems and methods for selectively allowing or blocking operating system upgrades based on probabilities that the upgraded operating system may result in a fault condition. In an example, the technology may perform a method that includes receiving usage data from a client device to evaluate providing an operating system upgrade for the client device; accessing a root-cause factor that is likely to lead to a fault condition with the operating system upgrade; based on the usage data, identifying a fault probability for the root-cause factor; comparing the fault probability to a fault threshold for the root-cause factor; based on the comparison of the fault probability and the fault threshold, performing one of: blocking the operating system upgrade from being installed on the client device; or providing the operating system upgrade for installation on the client device.

Abstract: Methods and systems are described herein for improving data processing efficiency of classifying user files in a database. More particularly, methods and systems are described herein for improving data processing efficiency of classifying user files in a database in which the user files have a temporal element. The methods and system described herein accomplish these improvements by introducing time dependency into time-homogeneous probability models. Once time dependency has been introduced into the time-homogeneous probability models, these models may be used to improve the data processing efficiency of classifying the user files that feature a temporal element.

Abstract: A method for recognizing persons in video streams includes obtaining a live video stream, detecting a first person in the live video stream, determining from analysis of the live video stream first information that identifies an attribute of the first person, determining based on at least some of the first information that the first person is not identifiable to the computing system, storing at least some of the first information, receiving a user classification of the first person as being a stranger, and deleting the stored first information.

Abstract: A method includes receiving video data that includes a series of frames of image data. Here, the video data is representative of an actor performing an activity. The method also includes processing the video data to generate a spatial input stream including a series of spatial images representative of spatial features of the actor performing the activity, a temporal input stream representative of motion of the actor performing the activity, and a pose input stream including a series of images representative of a pose of the actor performing the activity. Using at least one neural network, the method also includes processing the temporal input stream, the spatial input stream, and the pose input stream. The method also includes classifying, by the at least one neural network, the activity based on the temporal input stream, the spatial input stream, and the pose input stream.