Abstract: An apparatus includes a photonic integrated circuit having an optical phased array, where the optical phased array includes multiple unit cells. Each unit cell includes (i) an antenna element configured to transmit or receive optical signals and (ii) a phase modulator configured to modify phases of the optical signals being transmitted or received by the antenna element. The apparatus also includes a gyroscopic sensor configured to sense movement of the photonic integrated circuit, where at least a portion of the gyroscopic sensor is integrated within the photonic integrated circuit.

Abstract: An apparatus includes a photonic integrated circuit having an optical phased array, where the optical phased array includes multiple unit cells. Each unit cell includes (i) an antenna element configured to transmit or receive optical signals and (ii) a phase modulator configured to modify phases of the optical signals being transmitted or received by the antenna element. The apparatus also includes a gyroscopic sensor configured to sense movement of the photonic integrated circuit, where at least a portion of the gyroscopic sensor is integrated within the photonic integrated circuit.

Abstract: An analytics device for monitoring maintenance on an elevator system performed by an individual including: a processor; and a memory including computer-executable instructions that, when executed by the processor, cause the processor to perform operations, the operations including: capturing a first video stream using a first video camera; extracting sequences from at least the first video stream; extracting features from the sequences; and analyzing, using a long short-term memory model, the sequence to determine whether the maintenance performed on the elevator system by the individual is performed correctly.

Abstract: The discriminability of an RF fingerprint is increased by “abstracting,” “enhancing,” and “reconstructing” a digital signal before it is transmitted, where the abstraction is a reversible nonlinear compression, the enhancement is a modification of the abstracted data, and the reconstruction is a mapping-back of the abstraction. During a training phase, for each individual RF transmitter, RF fingerprints are analyzed and candidate enhancements are modified until a successful enhancement is identified that provides satisfactory discriminability improvement with minimal signal degradation. The successful enhancement is implemented in the RF transmitter, and the RF fingerprint is communicated to receivers for subsequent detection and verification. Reinforcement learning can direct modifications to the candidate enhancements. The abstraction can implement a deep generative model such as an auto-encoder.

Abstract: An artifact-suppressing neural network (NN) kernel comprising at least one neural network, implemented in replacement of a DSP, provides comparable or better performance under non-edge conditions, and superior performance under edge conditions, due to the ease of updating the NN kernel training without enlarging its computational footprint or latency to address a new edge condition. In embodiments, the NN kernel can be implemented in a field programmable gate array (FPGA) or application specific integrated circuit (ASIC), which can be configured as a direct DSP replacement. In various embodiments, the NN kernel training can be updated in near real time when a new edge condition is encountered in the field. The NN kernel can include DCC lower layers and dense upper layers. Initial NN kernel training can require fewer examples. Example embodiments include a noise suppression NN kernel and a modem NN kernel.

Abstract: An analytics device for monitoring maintenance on an elevator system performed by an individual including: a processor; and a memory including computer-executable instructions that, when executed by the processor, cause the processor to perform operations, the operations including: capturing a first video stream using a first video camera; extracting sequences from at least the first video stream; extracting features from the sequences; and analyzing, using a long short-term memory model, the sequence to determine whether the maintenance performed on the elevator system by the individual is performed correctly.

Abstract: The discriminability of an RF fingerprint is increased by “abstracting,” “enhancing,” and “reconstructing” a digital signal before it is transmitted, where the abstraction is a reversible nonlinear compression, the enhancement is a modification of the abstracted data, and the reconstruction is a mapping-back of the abstraction. During a training phase, for each individual RF transmitter, RF fingerprints are analyzed and candidate enhancements are modified until a successful enhancement is identified that provides satisfactory discriminability improvement with minimal signal degradation. The successful enhancement is implemented in the RF transmitter, and the RF fingerprint is communicated to receivers for subsequent detection and verification. Reinforcement learning can direct modifications to the candidate enhancements. The abstraction can implement a deep generative model such as an auto-encoder.

Abstract: A method for monitoring wellsite equipment may include producing a digital image and a thermal image of the wellsite equipment; identifying one or more equipment units in the digital image; overlaying the thermal image on the one or more identified equipment units in the digital image to thermally map the one or more identified equipment units; and analyzing temperature conditions of at least a first identified equipment unit.

Abstract: An autonomous cargo handling system is provided. The autonomous cargo handling system may comprise one or more sensing agents in electronic communication with each other. One or more of the sensing agents may be configured to monitor a sensing zone in a cargo deck to detect objects traveling through the sensing zone. In response to detecting an object, one or more sensing agents may determine an object property based on the detected object. One or more sensing agents may generate an object model based on the determined object properties. The sensing agents may also determine whether the detected object is a unit load device (ULD) or a non-ULD object based on the object property and/or the object model.

Abstract: A method for monitoring wellsite equipment may include producing a digital image and a thermal image of the wellsite equipment; identifying one or more equipment units in the digital image; overlaying the thermal image on the one or more identified equipment units in the digital image to thermally map the one or more identified equipment units; and analyzing temperature conditions of at least a first identified equipment unit.

Abstract: A phase-modulated optical link and methods are provided to suppress distortions in phase-encoded analog photonic links. The phase-modulated optical link includes a distortion compensation element. The distortion compensation element includes an optical comb generator that is seeded by a phase-encoded optical signal. The methods include generating an optical comb seeded by a portion of a phase-encoded optical signal and isolating desired peaks to be combined with a separate portion of the phase-encoded optical signal.

Abstract: A phase-modulated optical link and methods are provided to suppress distortions in phase-encoded analog photonic links. The phase-modulated optical link includes a distortion compensation element. The distortion compensation element includes an optical comb generator that is seeded by a phase-encoded optical signal. The methods include generating an optical comb seeded by a portion of a phase-encoded optical signal and isolating desired peaks to be combined with a separate portion of the phase-encoded optical signal.