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 method including receiving, by one or more processing circuits, building data, generating, by the one or more processing circuits, a first digital twin based on the building data, wherein a first system stores the first digital twin and a second system stores a second digital twin generated based on the building data, where the first digital twin includes a relationship that forms a connection between the first digital twin and the second digital twin by linking a first entity of the first entities of the first digital twin and a second entity of the second entities of the second digital twin, and performing, by the one or more processing circuits, one or more operations based on at least one of the first digital twin, the second digital twin, or the relationship that forms the connection between the first digital twin and the second digital twin.

Abstract: An axial pump assembly for a hydraulic tool includes a cycloidal disk rotatable about an axis and having an eccentric opening configured to receive a rotational input. A ring defines a cam track and is engaged with the cycloidal disk so that rotation of the cycloidal disk causes corresponding rotation of the ring about the axis. A plate includes a follower that engages with the cam track so that rotation of the cam track causes corresponding reciprocating motion of the plate along the axis.

Abstract: In certain embodiments, the present invention provides a detection composition comprising a picodroplet comprising (a) an aqueous solution, and (b) a substrate probe comprising (i) an oligonucleotide of 2 to 75 nucleotides in length, (ii) a fluorophore operably linked to the oligonucleotide, and (iii) a quencher operably linked to the oligonucleotide. As used herein, the term “picodroplet” comprises a liquid droplet that has a volume of 0.014 to 2.6 picoliters.

Abstract: Disclosed herein are methods, apparatus, and systems for seamless biometric self-enrollment. The method including automatically: capturing, by a biometric capture device, biometric modality data for a user in response to a presentation of a user trusted credential for logical access or access to an object during an enrollment process, determining, by an enrollment system, whether biometric modalities for the user are stable, generating a biometric modality template for each unstable biometric modality, replacing a matched stored biometric modality template with the biometric modality template when the biometric modality template is qualitatively better than the matched stored biometric modality template, performing stability accounting when the matched stored biometric modality template is at least qualitatively equal to the biometric modality template, and initiating access processing when at least all biometric modalities are stable and verified.

Abstract: The present invention relates to a rapid detection of microbial-associated nuclease activity with chemically modified nuclease (e.g., endonuclease) substrates, and probes and compositions useful in detection assays.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for radio frequency band segmentation, signal detection and labelling using machine learning. In some implementations, a sample of electromagnetic energy processed by one or more radio frequency (RF) communication receivers is received from the one or more receivers. The sample of electromagnetic energy is examined to detect one or more RF signals present in the sample. In response to detecting one or more RF signals present in the sample, the one or more RF signals are extracted from the sample, and time and frequency bounds are estimated for each of the one or more RF signals. For each of the one or more RF signals, at least one of a type of a signal present, or a likelihood of signal being present, in the sample is classified.

Abstract: Methods and systems including computer programs encoded on computer storage media, for training and deploying machine-learned communication over RF channels.

Abstract: A building system can include one or more memory devices having instructions stored thereon, that, when executed by one or more processors, cause the one or more processors to receive a first prediction generated using one or more first events enriched with contextual data, identify one or more second events or one or more second predictions associated with the first prediction, enrich the one or more second events or the one or more second predictions with the first prediction, and provide the one or more second events enriched with the first prediction or the one or more second predictions enriched with the first prediction.

Abstract: The present disclosure describes a method of separating a carbon allotrope from a salt and a separation system for the same. The method may include adding a solid comprising the carbon allotrope and the salt to a solution comprising the salt, performing a first filtration on the solution at a first temperature to remove the carbon allotrope from the solution, adjusting the temperature of the solution to a second temperature to precipitate a first portion of the salt, performing a second filtration on the solution at the second temperature to remove the first portion of the salt from the solution, adjusting the temperature of the solution to the first temperature to dissolve a second portion of the salt in the solution, and recycling the solution.

Abstract: The controller according to the invention is a controller for optimizing the leveling process (leveling) of an elevator car at a stopping point for an elevator having an elevator controller which controls the stop of the car at a stopping point as a function of a specified distance X to the stopping point, wherein the controller is designed, during each of at least two, in particular at least three journeys, to record a set of at least one same measured value, to determine a change dX or a changed distance X? as a function of the set of the current journey and at least one past journey and to output the changed value X? or the difference dX to the specified distance X.

Abstract: System and method for a permanent monitoring and control automation system for a well includes a grease tank including a storage container configured to hold grease, sensors for measuring grease volume in the grease tank and pressure levels, and a pump for greasing a valve at a pre-set pressure level value using grease from the grease tank. The system further includes a greasing control system for monitoring parameters, inputting parameters into an artificial intelligence model, determining pumping rate, volume, and time schedule, predicting a greasing maintenance schedule, and pumping grease. The greasing control system includes a computer processor connected to a remote terminal unit and a supervisory control and data acquisition. The system further includes an alert system for transmitting alarms to notify a user of system status. The alarms include low grease level on the valve, operational status, alert type, system malfunction, and grease tank low level.

Abstract: Disclosed herein is a method for performing communication link handoffs between ground-based stations and aircraft in an aviation communications network. In the communications network, ground based stations interspersed throughout a coverage area of the network can be utilized to provide one or more aircraft flying within the coverage area with communications links that facilitate communication between an operator and an aircraft. In one or more examples, during the operation of the flight, the spectrum management system or other controller can coordinate the transfer of communications responsibilities between ground-stations of the network. The network can use a priori information from the flight plan to pre-coordinate handovers before the actual handover is to be initiated. In one or more examples, pre-coordination can include exchanging cryptographic keys between a source base station and a probable target base station of a handover.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training and deploying machine-learned communication over multi-input-multi-output (MIMO) channels.

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 method and apparatus for estimating a step length of a user are disclosed. The method involves obtaining inertial data generated by an inertial sensor, extracting orthogonal motion components a plurality of directions, and estimating, based on the orthogonal motion components for each direction, a respective parameter that is indicative of energy expenditure by the user in the corresponding direction. The step length is then estimated, based on each estimated parameter indicating energy expenditure by the user, a corresponding step length.

Abstract: Embodiments of the invention provide a pump assembly for a hydraulic tool. The pump assembly can include a reciprocating element that is configured to move between a retracted position and an extended position, a cam surface in the reciprocating element that can engage cam followers, a rotating element that can receive rotational input, and a base that can at least partially surrounds the rotating element. Movement of the cam followers along the cam surface can move the reciprocating element from the retracted position to the extended position.

Abstract: A mounting platform is provided for securing munitions. The platform includes a flat plate, a front block and a rear block. The plate includes a plurality of cutout holes. The front block has a first saddle disposed between first flanking ends and at least one extension at one of the flanking ends for inserting into a first opening of the cutouts. The rear block has a second saddle disposed between second flanking ends at least one extension for inserting into a second opening of the cutouts. The munitions are disposable atop the first and second saddles of the front and rear blocks. The munitions are restrained axially against a rear stop block and laterally by the saddles and straps.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training and deploying machine-learned communication. One of the methods includes: receiving an RF signal at a signal processing system for training a machine-learning network; providing the RF signal through the machine-learning network; producing an output from the machine-learning network; measuring a distance metric between the signal processing model output and a reference model output; determining modifications to the machine-learning network to reduce the distance metric between the output and the reference model output; and in response to reducing the distance metric to a value that is less than or equal to a threshold value, determining a score of the trained machine-learning network using one or more other RF signals and one or more other corresponding reference model outputs, the score indicating an a performance metric of the trained machine-learning network to perform the desired RF function.