Abstract: A hand-held knockout driver includes a main housing having a handle portion, a motor positioned within the main housing, a pump assembly driven by the motor, and a secondary housing coupled to the main housing and defining a bore therein. The hand-held knockout driver also includes a working piston moveable within the bore from a rest position to an actuated position to define a piston throw distance therebetween. The hand-held knockout driver also includes a draw stud coupled to the working piston, a die coupled to the secondary housing, and a punch coupled to the draw stud opposite the working piston for movement therewith relative to the die. The die has a depth greater than the piston throw distance.

Abstract: A method of managing predicting anomalies in operation of a communications network. The method includes receiving network performance data, including network performance data received as time series of values representing monitored characteristics. The method also includes detecting a first anomaly in operation of the communications network and, from historical network performance data, determining if an instance of the first anomaly occurred in the past. If this is a first occurrence of the first anomaly, then based on network performance data received before detecting the first anomaly the method includes building a first model for predicting an instance of the first anomaly and deploying the first model to operate. An apparatus implementing the method is also disclosed.

Abstract: Disclosed are process and devices for processing an image frame. An image frame rendered on rendering instances may comprise pixel values for one or more lighting components. One or more first buffers may store accumulations of pixel values for the one or more lighting components over at least some past rendering instances. One or more second buffers may store pixel values for the one or more lighting components of a processed image frame. Pixel values in the one or more first buffers may be combined with pixel values in the one or more second buffers to provide pixel values for the one or more lighting components in an accumulated image frame.

Abstract: Disclosed are devices and/or processes to process image frames expressed in part by different lighting components, such as lighting components generated using ray tracing. In an embodiment, different lighting components of a previous image frame may be separately warped and combined with like lighting components in a current image frame.

Abstract: Multiple successively spatially downsampled versions of a rendered image frame are generated for at least one two-dimensional signal component of one or more two-dimensional signal components of an image frame, and one or more versions of the rendered image frame are selected from among the rendered image frame and the spatially downsampled versions of the rendered image frame for sampling a texture feature based, at least in part, on a prediction computed by a neural network.

Abstract: A method and a system for predicting gas lift equipment failure are disclosed. The method includes obtaining data from a plurality of sources, the plurality of sources including sensor readings, maintenance records, operational parameters, and production targets and determining a plurality of initial equipment failure probabilities using a plurality of machine learning models. Further, the method includes determining an ensemble prediction using an ensemble model trained on the plurality of initial equipment failure probabilities and performing, in response to the ensemble prediction, a maintenance operation of the gas lift equipment.

Abstract: Methods and devices addressing power tracking of transmission systems using antenna arrays are disclosed. The disclosed teachings may be implemented on a channel element to channel element basis, are adaptive and can be implemented on short time durations such as time slots. Power efficiency can be improved when applying the described methods to the design of systems with antenna arrays.

Abstract: In some embodiments, a computer mouse comprises a housing, a multi-tiered and depressible keyplate including a first tier and a second tier, a haptic element, a subchassis configured to support and directly couple the haptic element to a bottom surface of the first tier of the keyplate, and a sensor (e.g., force sensor, keypress detection sensor, and the like). In some cases, when depressed by a threshold distance, the second tier of the multi-tiered depressible keyplate makes contact with the sensor, causing the sensor to detect that the multi-tiered depressible keyplate is depressed. In some aspects, the multi-tiered depressible keyplate is a monolithic structure such that the first and second tiers move as a single unit relative to the housing when the multi-tiered depressible keyplate is depressed.

Abstract: In some embodiments, a computer mouse includes a housing, a depressible keyplate, and a haptic element coupled to a bottom surface of the depressible keyplate. The haptic element can be configured to operate in a plurality of modes of operation including a first mode and a second mode. In the first mode of operation, the haptic element can generate a haptic output that statically and unidirectionally deflects and holds the haptic element and coupled keyplate at a deflection distance. In the second mode of operation, the haptic element can generate a second haptic output that bidirectionally deflects the haptic element relative to the deflection distance thereby generating a vibrational feedback that is superimposed on the unidirectional deflection at the deflection distance. In some aspects, the haptic element is a piezoelectric device and the control signal is a voltage applied to the haptic element.

Abstract: A system and method for a blended wing body aircraft with permanent tanks is presented. The aircraft comprises a blended wing body and at least a tank permanently attached the blended wing body. The at least a tank is configured to store liquified gas fuel and further comprises at least a vent configured to vent gaseous fuel from the at least a tank and an insulation to reduce thermal transfer to the liquified gas fuel inside of the at least a tank.

Abstract: In some embodiments, a computer mouse comprises a housing, a depressible keyplate disposed within the housing, a carrier platform including a top side and disposed within the housing, a haptic element coupled to a top side of the carrier platform, a biasing system configured to couple the carrier platform to the housing and provide a pre-loading force that pushes the haptic element coupled to the carrier platform against a bottom surface of the depressible keyplate, and a limiter element operable to physically limit a movable range of the keyplate in one direction that prevents a top surface of the keyplate to deflect past an adjacent top surface of the housing due to the pre-loading force, the top surface of the keyplate and the adjacent top surface of the housing forming a continuous contour when the depressible keyplate is in a non-depressed, neutral position.

Abstract: An electrified vehicle may include an electric motor coupled to a battery to propel and brake the vehicle, a pedal generating a pedal position signal including a released position signal, friction brakes configured to provide a stopping force to vehicle wheels, and a controller programmed to control the motor and the brakes in response to the pedal being released to decelerate the vehicle to a stop, and to control the motor and an engine (in hybrid vehicles) to inhibit propulsive torque to the wheels after stopping due to the pedal released position until receiving driver input indicative of a request for moving the vehicle, such as depressing the brake or accelerator pedal, or activating an automated vehicle maneuver, such as a parking maneuver, cruise control, or stop-and-go control. Inhibiting torque may include inhibiting creep torque and/or operating the electric machine to charge the battery when the engine is running.

Abstract: Concurrent access of multiple memory cells in a cross-point memory array is disclosed. In one aspect, a forced current approach is used in which, while a select voltage is applied to a selected bit line, an access current is driven separately through each selected word line to concurrently drive the access current separately through each selected memory cell. Hence, multiple memory cells are concurrently accessed. In some aspects, the memory cells are accessed using a self-referenced read (SRR), which improves read margin. Concurrently accessing more than one memory cell in a cross-point memory array improves bandwidth. Moreover, such concurrent accessing allows the memory system to be constructed with fewer, but larger cross-point arrays, which increases array efficiency. Moreover, concurrent access as disclosed herein is compatible with memory cells such as MRAM which require bipolar operation.

Abstract: A sealing process includes impregnating an oxide layer of an anodized metal with a corrosion inhibitor by contacting the oxide layer with a first corrosion inhibitor solution at a first temperature and sealing the impregnated oxide layer of an anodized metal by contacting the impregnated oxide layer with a second corrosion inhibitor solution at a second temperature, wherein the first corrosion inhibitor solution has a corrosion inhibitor concentration greater than the second corrosion inhibitor solution and the first temperature is less than the second temperature.

Abstract: A biopsy site marker includes a carrier and a marker element. The carrier is configured to expand in diameter in response to moisture. The marker element includes a base portion. The base portion defines a plurality of interconnected legs. Each leg is configured to move relative to another leg to permit movement of the marker element from a pre-deployment configuration to a post-deployment configuration. The base portion is disposed around an outer surface of the carrier. The carrier is configured to drive movement of the marker element from the pre-deployment configuration to the post-deployment configuration.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for processing communications signals using a machine-learning network are disclosed. In some implementations, pilot and data information are generated for a data signal. The data signal is generated using a modulator for orthogonal frequency-division multiplexing (OFDM) systems. The data signal is transmitted through a communications channel to obtain modified pilot and data information. The modified pilot and data information are processed using a machine-learning network. A prediction corresponding to the data signal transmitted through the communications channel is obtained from the machine-learning network. The prediction is compared to a set of ground truths and updates, based on a corresponding error term, are applied to the machine-learning network.

Abstract: A building system of a building including one or more memory devices having instructions thereon, that, when executed by one or more processors, cause the one or more processors to retrieve projection rules for generating a building graph projection. The instructions cause the one or more processors to retrieve a plurality of entities representing elements of the building and a plurality of relationships between the plurality of entities representing relationships between the plurality of entities, construct the building graph projection including a plurality of nodes and a plurality of edges based on the plurality of entities, the plurality of relationships, and the projection rules, and perform one or more operations based on the building graph projection.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training and deploying machine-learning estimation networks in a communications system. One of the methods includes: processing first information with ground truth information to generate a first RF signal by altering the first information by channel impairment having at least one channel effect, using a receiver to process the first RF signal to generate second information, training a machine-learning estimation network based on a network architecture, the second information, and the ground truth information, receiving by the receiver a second RF signal transmitted through a communication channel including the at least one channel effect, inferring by the trained estimation network the receiver to estimate an offset of the second RF signal caused by the at least one channel effect, and correcting the offset of the RF signal with the estimated offset to obtain a recovered RF signal.

Abstract: A method by a network function of a wireless communication system includes receiving structured non-tabular data relating to the wireless communication system, wherein the structured non-tabular data includes network topology data in graph format. The structured non-tabular data is converted into tabular data. Converting the structured non-tabular data into tabular data includes identifying a baseline object of a graph of the network topology data and generating a row of tabular data for each baseline object in the graph of the network topology data. The method further includes storing the tabular data in a data store for access by consumer applications in the wireless communication system.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a storage medium, for processing radio signals. In once aspect, a system is disclosed that includes a processor and a storage device storing computer code that includes operations. The operations may include obtaining first output data generated by a first neural network based on the first neural network processing a received radio signal, receiving, by a signal transformer, a second set of input data that includes (i) the received radio signal and (ii) the first output data, generating, by the signal transformer, data representing a transformed radio signal by applying one or more transforms to the received radio signal, providing the data representing the transformed radio signal to a second neural network, obtaining second output data generated by the second neural network, and determining based on the second output data a set of information describing the received radio signal.