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: The present disclosure provides an Industrial Internet of Things system conducive to system function expansion and system adjustment and control method thereof. The system comprises a user platform, a service platform, a management platform, a sensor network platform, and an object platform. The service platform and the sensor network platform adopt independent layout, and the management platform adopts centralized layout. The management platform is configured to store a control program that drives operation of production line equipment. The management platform is configured to call the control parameters in the database through communicating with the service platform and configure the control parameters in the control program to control the operation of production line equipment; and a data interaction mode between the user platform and the service platform is modifying and deleting the control parameters in the service platform through data transmission between the user platform and the service platform.

Abstract: Herein, a “perception statistical performance model” (PSPM) for modelling a perception slice of a runtime stack for an autonomous vehicle or other robotic system may be used e.g. for safety/performance testing. A first PSPM is configured to: receive a computed perception ground truth; determine from the perception ground truth, based on a set of learned parameters, a probabilistic perception uncertainty distribution, the parameters learned from a set of actual perception outputs generated using the perception slice to be modelled, in order to compute a first time series of perception outputs. A second time series of perception outputs is computed using a second PSPM for modelling a second perception slice of the runtime stack, the first PSPM learned from data of a first sensor modality of the perception slice and the time series, and the second PSPM learned independently thereof from data of a second sensor modality of the second perception slice and the second time series.

Abstract: A smart ring includes a curved housing having a U-shape interior storing components including: a curved battery approximately conforming to the curved housing, a semi-flexible PCB approximately conforming to the curved housing and having mounted theron: a motion sensor for generating motion data from physical perturbations of the smart ring, a memory for storing executable instructions, a transceiver for sending data to a client computer, a temperature sensor, and a processor for receiving motion data and performing executable instructions in response thereto, and a potting material disposed in the interior, forming an interior wall of the smart ring, wherein the potting material encapsulates the components and is substantially transparent to visible light, infrared light, and/or ultraviolet light.

Abstract: A technique of processing storage cluster performance metrics involves obtaining access to performance metrics from storage appliances of a storage cluster, the performance metrics identifying performance for storage objects managed by the storage appliances. The technique further involves, after access to the performance metrics is obtained, disregarding a duplicate set of performance metrics for a storage object that migrates from a first storage appliance of the storage cluster to a second storage appliance of the storage cluster. The technique further involves, after the duplicate set of performance metrics is disregarded, archiving the performance metrics to an archive. After archiving the performance metrics to the archive, the technique may provide a performance analysis based on the performance metrics from the archive as well as adjust operation of the storage cluster according to the performance analysis.

Abstract: Systems and methods for the detection and analysis of curvature data are described. A method includes: receiving position data of a vehicle turning maneuver along a portion of a roadway, where the position data includes measured position data collected by sensors of a vehicle while traversing the vehicle turning maneuver; associating the received position data with map data of the portion of the roadway; generating a spline based on the position data, the spline being a smooth curve representing the vehicle turning maneuver from a first road segment to a second road segment; identifying a segment of the spline containing a turning point of the vehicle turning maneuver, the turning point representing a change of a vehicle path from along the first road segment to along the second road segment; and determining a maximum curvature value for the identified segment of the spline.

Abstract: An electromagnetic leakage red and black signal identification method based on information entropy characteristics includes: acquiring electromagnetic information leakage signals of an information device in an idle state and an information processing state respectively, and calculating information entropy of the electromagnetic leakage signals in the idle state and the information processing state; and calculating an information entropy change of the electromagnetic leakage signals caused by information processing, and determining whether an electromagnetic leak contains red signals when the device processes information according to the information entropy change, so as to give an electromagnetic leakage red and black signal identification result.

Abstract: In various embodiments, the present invention provides a multi-modality imaging system in combination with a novel imaging method comprising complex modeling of the modalities and machine learning. In a particular embodiment, multi-modality imaging of a large rock core is described.

Abstract: A method for performing a drill stem test (DST) is disclosed. The method includes performing underbalanced drilling (UBD) of exploration wells to penetrate a target interval in a subterranean formation, where UBD is performed when a wellbore fluid pressure is less than a formation fluid pressure to allow a fluid flow from the target interval to surface during a drilling phase of the UBD, determining, based on the UBD of the exploration wells, a measure of the fluid flow from the target interval to the surface, obtaining, based on the UBD of the exploration wells, open hole logs of the exploration wells, where the open hole logs represent a reservoir property of the target interval, and selectively performing, based at least on the measure of the fluid flow and the open hole logs, the DST of the exploration wells.

Abstract: Disclosed is a novel type of computing apparatus which is integrated within a buoy that obtains the energy required to power its computing operations from waves that travel across the surface of the body of water on which the buoy floats. Additionally, these self-powered computing buoys utilize their close proximity to a body of water in order to significantly lower the cost and complexity of cooling their computing circuits. Computing tasks of an arbitrary nature are supported, as is the incorporation and/or utilization of computing circuits specialized for the execution of specific types of computing tasks. And, each buoy's receipt of a computational task, and its return of a computational result, may be accomplished through the transmission of data across satellite links, fiber optic cables, LAN cables, radio, modulated light, microwaves, and/or any other channel, link, connection, and/or network.

Abstract: A method for monitoring the status of an apparatus comprises processing in a processor a cyclic signal emitted and/or received by said apparatus, by sampling at least part of a plurality of cycles of the cyclic signal at n points to provide n measured values; comparing the n measured values to a predetermined distribution of values at said n points representing a first state of the apparatus; and if the n measured values fall outside predetermined criteria relating to the predetermined distribution, providing an indication that the apparatus is not in the first state.

Abstract: Exemplary systems and methods are disclosed for allocating resources in a breeding pipeline to multiple origins. One exemplary method includes accessing a data structure including data representative of multiple origins, in which the data includes, for each of the multiple origins, a trait performance expression or genotypic component information. The exemplary method further includes determining a resource allocation, which allocates n resources among the multiple origins based on a probability associated with the trait performance expressions and/or the genotypic components for the origins, and then allocating the n resources in the breeding pipeline for the multiple origins, based on the determined resource allocation.

Abstract: A method for determining a travertine deposit by: receiving a geological gridded model comprising a plurality of cells; receiving a source cell or a group of source cells of the geological gridded model corresponding to a source; determining a trajectory of a particle introduced at the source based on stochastic movements; and updating a travertine deposit in cells located on the trajectory of the particle.

Abstract: Disclosed is a method to remove distortion from a navigation system. The navigation system may be used to perform a procedure on a subject. The procedure may be any appropriate procedure. The navigation system may be used to account for the distortive effects of various conductive objects positioned near the subject on which the procedure is performed.

Abstract: Systems and methods of surface steering control of drilling may be used together with systems and methods for planning one or more wells before drilling, planning a well path during drilling and/or updating that well plan and/or other well plans during the drilling of a well. The methods and systems may include planning a field, comprising a plurality of wells to be drilled and/or a plurality of pads from which a plurality of wells are to be drilled, planning a pad from which a plurality of wells are to be drilled, and planning a well both before and during drilling of the well.

Abstract: According to one embodiment, a data processing apparatus includes a processor. The processor calculates, from the first measurement data, a first differential value set that is a set of first differential values in a time direction at a time included in the first period of the measurement values of the sensor of interest. The processor calculates, from the second measurement data, a second differential value set that is a set of second differential values in a time direction at a time included in the second period of the measurement values of the sensor of interest. The processor generates a first differential value distribution and a second differential value distribution using the second differential value set.

Abstract: A cargo space is monitored for objects connected to respective beacon-transmitting devices which transmit identification signals associated with the objects. Signal strengths of received signals and repetition periods associated therewith are determined using a monitoring device which checks whether each received beacon identification signal identifies a respective object in an object inventory of the cargo space based on comparisons of the signal strengths with current signal strength threshold values respectively associated with them and on comparisons of the respectively associated beacon repetition periods with respective current repetition period threshold values. The monitoring device detects whether the cargo space is currently in a first state (in which loading and unloading operations of objects in the cargo space is permissible) or a second state (in which loading and unloading is not permissible).

Abstract: The present invention is enclosed in the area of calibration of spectral information/spectroscopy devices, such as the calibration of spectral information which consist of high-resolution electromagnetic spectra, as Laser-induced Breakdown Spectroscopy (LIBS). It is an object of the present invention a calibration method of a spectroscopy device comprising a plurality of sensors and a method for transferring spectral information obtained from a first and a second spectroscopy devices. The method of the present invention provides the access to accurately defined spectral lines from the electromagnetic spectrum, as well as to obtain electromagnetic spectra in two different sites, with two different spectroscopy devices and physical samples still provide for the reliable comparison between the electromagnetic spectra obtained in each of such spectroscopy devices.

Abstract: A dynamic power consumption estimation method includes recording a statistical value of each of n target signals of a to-be-measured target in a unit time, where the target signal is a clock signal obtained after clock gating and the statistical value is a quantity of times toggling, or the target signal is a clock gating signal and the statistical value is a quantity of enable cycles, and calculating the dynamic power consumption of the to-be-measured target in the unit time based on the statistical value of each of the n target signals in the unit time.

Abstract: A system including a processor and memory coupled to the processor. A communications interface is coupled to the processor for communicating with a central test database. A carrier is provided for receiving a cassette containing a lateral flow assay (“LFA”) strip. An LFA strip reader is coupled to the processor for taking an image of the LFA strip and cassette and transmitting the image to the processor. The processor analyzes the image to determine a vendor of the cassette, analyzes the image of the LFA strip using a machine learning engine for quality defects in the LFA strip, generates an error when a quality defect is detected in the LFA strip, and reports the error to the central test database.