Abstract: An optical system includes a multimode waveguide having a non-circular cross-sectional core for transmission of light and a lens that is optically coupled to the multimode waveguide. The lens directs light from one or more point sources into the multimode waveguide such that the light is transmitted in one or more modes of the multimode waveguide. After transmission, the light is detected at one or more detectable points. In some cases, a back-end lens is configured to receive light that is output from the multimode waveguide. The back-end lens directs the light to one or more detectable points. In some cases, the front-end lens directs light from two or more point sources to the multimode waveguide at different angles relative to a propagation axis of the multimode waveguide such that the light is transmitted via two or more different modes, respectively, of the multimode waveguide.

Abstract: An apparatus for and method of reducing the effects of vibrations on components in modules of a deep ultraviolet light source. The components are provided with sensors (325,335) to sense vibration waveforms and actuators (320,330) for applying a waveform opposed to and so cancelling the vibration waveform. In addition to application of active noise (vibration) cancellation the vibration waveform resulting from active vibration suppression is analyzed to identify residual vibrations to determine characteristics of a residual vibration cancelling waveform.

Abstract: A device for measuring thermal conductivity includes (a) a heater system including a plurality of resistive heaters and a voltage measurement system for measuring voltage across each resistive heater; (b) at least one thermal reservoir maintainable at a reservoir temperature; and (c) a set of chambers positioned between the heater system and the thermal reservoir. Each chamber is fillable with fluid to a respective chamber height extending between an inner end in thermal communication with a respective heater and an outer end in thermal communication with the thermal reservoir. The set of chambers includes at least one sample chamber for filling with a sample medium and a plurality of reference chambers for containing a reference medium and having different chamber heights from each other for providing a different thermal resistance through each chamber height of reference medium.

Abstract: Provided are devices that have a distal portion configured to be implanted in a brain of a subject. The distal portion includes one or more emitters configured to emit light in the visible spectrum. The device includes a proximal portion configured to be external to the brain of the subject while the distal portion is implanted, wherein the proximal portion includes at least one waveguide in optical communication with the one or more emitters. The at least one waveguide defines a cross-sectional width less than 500 nm. The at least one waveguide is optionally coupled to a heating element that is optionally configured to adjust a phase of light within the at least one waveguide.

Abstract: A system is provided that learns a radar scene's background and that filters radar tracks determined to be in the radar scene background; The system including processing circuitry configured with executable instructions to accesses radar tracks that include radar measurements; to use the measurements to determine a persistent radar object in a radar scene background; and to subsequently filter accessed radar tracks having locations within the radar scene background.

Abstract: Example systems, methods, and apparatus are disclosed herein for a method and system for small object detection in images using machine learning and signal processing techniques.

Abstract: Aspects of the disclosure include hybrid cost model-based techniques for evaluating query execution plans. A non-limiting example method includes inputting, to a plurality of base cost models including one or more learned cost models and a classic cost model, a query and a search space including a plurality of candidate query execution plans. Each base cost model outputs a predicted execution time or cost for each plan of the plurality of candidate query execution plans and a real execution time for each plan is determined. The method includes generating a training label including the query and a model of the base cost models having a highest correlation between the predicted and real execution times and training a query classifier on training data including the training label to predict which base cost model of the plurality of base cost models is a most suitable cost model for planning a given query.

Abstract: An imaging system is provided comprising: a memory storing instructions which, when executed by processing circuitry, cause the processing circuitry to perform operations comprising: determining multiple image regions of interest (ROIs) within a camera image plane that correspond to one or more three-dimensional (3D) world object images; determining multiple radar ROIs that correspond to one or more 3D world objects; determining 3D world distances corresponding to the radar ROIs; determining multiple co-registered ROI pairs by co-registering individual image ROIs with individual radar ROIs corresponding to common 3D world objects; adjusting one or more parameters associated with the camera, based upon the co-registered ROI pairs.

Abstract: Aspects of the invention include techniques for providing a learned join cardinality estimation using a join graph representation. A non-limiting example method includes building a join cardinality estimation model. The model can be built by generating a training query having a known join cardinality, generating an adjacency matrix encoding a join graph of the training query, encoding one side of a diagonal axis of the adjacency matrix, and training the join cardinality estimation model using the encoded adjacency matrix and the known join cardinality. The method includes performing an inference using the join cardinality estimation model. The inference includes a predicted join cardinality for a query. The method includes executing a query execution plan for the query using the predicted join cardinality.

Abstract: Electrical panels sometimes need to be upgraded or new ones installed to cope with increased power demands, and new buildings often require differently configured panels. The smart electrical panel herein has a modular construction that allows for numerous panel configurations using a relatively smaller number of distinct components or modules. Power control modules control groups of circuit breakers and a current monitoring module measures total current to the panel. Other circuit breakers may be uncontrolled. A serial digital interface communication cable connects the modules to a controller. The control of power to at least some of the loads allows for a lower power panel to be installed than would otherwise be needed.

Abstract: Example systems, methods, and apparatus are disclosed herein for zero-shot black-box detection of neural Trojans.

Abstract: An apparatus for a light source includes: an electrical insulator that defines a channel; a gasket that surrounds at least a portion of the electrical insulator; and a shield between the channel and the gasket. The channel is configured to receive an electrical conductor. The gasket includes a non-metallic material.

Abstract: Provided are devices that have a distal portion configured to be implanted in a brain of a subject. The distal portion includes one or more emitters configured to emit light in the visible spectrum. The device includes a proximal portion configured to be external to the brain of the subject while the distal portion is implanted, wherein the proximal portion includes at least one waveguide in optical communication with the one or more emitters. The at least one waveguide defines a cross-sectional width less than 500 nm. The at least one waveguide is optionally coupled to a heating element that is optionally configured to adjust a phase of light within the at least one waveguide.

Abstract: Aspects of the invention include techniques for robust query execution plan selection. A non-limiting example method includes training a model to estimate, for an input including a query and one or more plans, an execution time for each plan and a respective uncertainty of the execution time. A new query and a search space including a plurality of candidate plans are input to the model. Given an estimated distribution for the execution time of each candidate plan, a suboptimality risk is computed for each candidate plan. A plan of the plurality of candidate plans is selected according to a plan selection policy. The plan selection policy includes at least one of: selecting a plan by assuming that plans have higher costs proportional to an estimated standard deviation of their respective uncertainty; and selecting a plan with minimum risk using model uncertainty, data uncertainty, or a total uncertainty.

Abstract: Aspects of the invention include techniques for providing a learned join cardinality estimation using a join graph representation. A non-limiting example method includes building a join cardinality estimation model. The model can be built by generating a training query having a known join cardinality, generating an adjacency matrix encoding a join graph of the training query, encoding one side of a diagonal axis of the adjacency matrix, and training the join cardinality estimation model using the encoded adjacency matrix and the known join cardinality. The method includes performing an inference using the join cardinality estimation model. The inference includes a predicted join cardinality for a query. The method includes executing a query execution plan for the query using the predicted join cardinality.

Abstract: Systems and methods for cooling a datacenter are disclosed. In at least one embodiment, a number of multi-dimensional column-based heat dissipation features enable cooling by a cooling media flowing there through so that an individual heat dissipation column having a first dimension and a second dimension may be supported, with the first dimension being normal relative to an axial flow path of the cooling media, with the second dimension being parallel or offset from parallel relative to the axial flow path and with the second dimension being more than the first dimension.

Abstract: An electronic pallet (e-pallet) includes a superstructure mounted to a wheeled base platform. A tether device defines an articulation angle with respect to a leading edge of the superstructure, and is grasped by an operator towing the e-pallet. A motor connected to driven road wheels transmits a drive torque to the road wheels responsive to motor control signals, including a desired yaw rate and ground speed. A speed sensor, angle sensor, and length sensor are respectively configured to determine an actual ground speed of the e-pallet, the articulation angle, and a length of the tether device. An electronic controller, in response to the input signals, generates the motor control signals using proportional-integral-derivative (PID) control logic. Coupled lateral and longitudinal dynamics control loops respectively determine the desired yaw rate and ground speed to accommodate for motion of the operator.

Abstract: A gravity base (1) for supporting a superstructure (2), comprising a base structure (100), wherein the base structure is configured to be arranged on a supporting media (3) and is configured to be connected to the superstructure (2) or to a support structure (300) which is configured to be arranged between the superstructure and the base structure, and wherein the support structure is configured to be connected to the superstructure; a ballast confiner (200), wherein the ballast confiner is configured to be filled with a ballast material (250), wherein the ballast confiner (200) is configured to confine the ballast (250) on the base structure (100), wherein the base structure and the ballast confiner are structurally independent.

Abstract: A method for determining specific heat capacity of fluids includes: (a) injecting a reference fluid into at least one channel of a reference substrate and a sample fluid into at least one channel of a sample substrate; (b) establishing a temperature gradient along the at least one channel of each substrate; (c) measuring temperature differential between the reference and sample substrates along the temperature gradient for a stagnant condition to define a baseline temperature differential, and for each of a plurality of flowrate ratios of the reference and sample fluids flowing through respective channels; and (d) based on the measuring in (c), determining a thermally-balanced flowrate ratio at which the temperature differential corresponds to the baseline temperature differential, and evaluating the specific heat capacity of the sample fluid based on the thermally-balanced flowrate ratio.

Abstract: A temperature measurement device includes a Fabry-Pérot resonator constructed of an inorganic optical material on an end of an optical fiber. Light in the optical fiber couples into a cavity of the Fabry-Pérot resonator and resonates at a resonance that varies with temperature of the Fabry-Pérot resonator. A detector receives output light from the Fabry-Pérot resonator and produces a signal indicating a detected resonance. Computing circuitry receives the signal, determines a temperature of the Fabry-Pérot resonator based on the detected resonance and a relationship that correlates the detected resonance with the temperature of the Fabry-Pérot resonator, and outputs a temperature measurement. The cavity may include a channel comprised of a material having a different refractive index than surrounding material. The temperature measurement device may include multiple Fabry-Pérot resonators.