Abstract: Methods, systems and devices for mobile detection of soil compaction and soil characteristic data are provided. Operations include causing a subsurface portion of soil at a compaction detection location to be disrupted using compressed air, generating disruption data corresponding to the disruption of the subsurface portion of the soil at the compaction detection location, generating geographic location data corresponding to the compaction detection location, receiving the geographic location data from the location device and the disruption data from the disruption sensor and associating the geographic location data with the disruption data.

Abstract: The present disclosure is directed to an improved metalworking lubricant monitoring, logging, recording, calculating, analyzing, alerting and reporting apparatus, system and method that monitors data and changes to the lubricant application process and the amount and concentration of lubricant being dispensed or delivered, analyzes, calculates and records data and changes or alterations to the amount dispensed, and alerts or reports the data and changes in real-time, when necessary, over various communication channels, to those responsible for overseeing the system changes.

Abstract: A transient pressure event detection system and method for a pipeline network are disclosed. The system includes a data repository encoding route data on the pipeline network, a data receiver configured to receive timestamped pipeline sensor data from each of a plurality of sensors that are spaced apart in the pipeline network, use the sensor data received to identify a transient pressure event occurrence and the timestamp for the event occurrence's arrival time, determine routes in the pipeline network between the sensors, for each route determine a potential source location in the pipeline network for the transient pressure event, perform a simulated transient event for each potential source location and determine a modelled arrival time of a transient corresponding to the event, compare the timestamp of the event occurrence with the modelled arrival time and select the potential source location corresponding to the closest modelled arrival time.

Abstract: A measurement method for a device includes, for each antenna group other than a target antenna group in an antenna array, determining compensation values of the antenna group based on characteristic parameters of the antenna group and characteristic parameters of the target antenna group, and adjusting, based on the compensation values of the antenna group, an electromagnetic wave transmitted by each antenna unit in the antenna group such that electromagnetic waves transmitted by all antenna units in the antenna array have a same phase or amplitude when the electromagnetic waves arrive at a measurement probe of a second device, where the electromagnetic wave is used to measure an over-the-air beam parameter of the first device, and a distance between the first device and the measurement probe is less than a far-field boundary distance.

Abstract: The present disclosure relates to a radar ranging system based on a true random generator and a ranging method thereof The present disclosure adopts the following technical scheme: the system comprises a radar signal modulation and transmission unit and a radar signal receiving and processing unit, wherein the radar signal modulation and transmission unit inputs and stores a true random binary sequence generated by the true random generator in a memory, and cyclically outputs the true random binary sequence to a BPSK modulator for phase modulation. The receiving and amplifying unit receives the reflected radar signal. The down-sampling unit down samples the intermediate frequency signal generated by the mixers. The data processing unit converts the sampled analog signal into a digital signal and cross-correlates the signal with the true random binary sequence in the memory, so as to obtain the distance to the object side to be measured.

Abstract: A device estimates the health of a battery by first collecting measurements of the battery over multiple charging and discharging cycles. Scores are assigned to the measurements according to scoring rules stored in a memory of the device. The device calculates battery based on an average of the measurements, where each measurement has an assigned score greater than a threshold.

Abstract: Method for testing the functional stability of a controller of a refrigerating machine where the controller performs control cycles. The testing method comprises a step (100) of recording a set of current values of input variables, status variables and output variables of the controller, and a subsequent execution step (200), in which the values of the status variables and input variables recorded in the recording step are forced in the controller as inputs and values of the output variables are recorded in order to compare them with the values of the output variables recorded in the recording step (100).

Abstract: In some examples, touch data can include noise. The noise can be generated by a component of an electronic device that includes a touch screen. For example, one or more signals transmitted to the display circuitry of an electronic device can become capacitively coupled to the touch circuitry of the device and cause noise in the touch data. Machine learning techniques, such as gated recurrent units and/or convolutional neural networks can estimate and reduce or remove noise from touch data when provided data or information about the displayed image as input. In some examples, the algorithm includes one or more of a gated recurrent unit stage and a convolutional neural network stage. In some examples, a gated recurrent unit stage and a convolutional neural network stage can be arranged in series, such as by providing the output of the gated recurrent unit as input to the convolutional neural network.

Abstract: Methods and systems are provided that determine or estimate total clay volume fraction in a formation for well log data of the formation using machine learning are described. Methods and systems are also provided that employ computation models to determine amounts or concentrations of at least one clay mineral in the formation from total clay volume fraction of the formation.

Abstract: A computer-based system for automatically detecting when a battery changeout occurs has an input device, a neural net trained to identify when said battery changeout occurs based on data from a battery monitor and an output device. The system reads in battery data points once per a data period. The system then formats multiple data points into a data vector for the neural net. The neural net then produces an output vector indicating when a battery changeout occurs. The output vector may show a detected changeout as a step change in a graph.

Abstract: The present disclosure relates to a system for detecting an anomaly and a method for setting a threshold thereof. The method includes setting a minimum true positive rate (TPR) and a differentiation slope based on a user input, creating a receiver operating characteristic (ROC) curve using anomaly data and normal data, estimating a true negative rate (TNR) from the ROC curve based on the minimum TPR and the differentiation slope, and estimating and setting the threshold based on the estimated TNR.

Abstract: A system and method for determining and generating a visualization of processor utilization is described. The system accesses a source data set that indicates processor utilization rates of a plurality of servers over a plurality of sampling periods. The system defines a target data set that includes a plurality of processor utilization range buckets corresponding to the plurality of sampling periods. The system updates the target data set based on the source data set. A graphical user interface (GUI) is generated based on the updated target data set and includes a stacked area chart indicating percentages of samples corresponding to the processor utilization range buckets over time. The system distributes, based on the updated target data set, a load of from a first server to a second server based on the processor utilization range bucket of the first server and the processor utilization range bucket of the second server.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for using direction-angles to identify geologic features and geologic attributes for use in geothermal, oil and gas, mining, and other applications. An example embodiment operates by receiving a discrete three-dimensional (3D) representation of a geologic volume comprising a set of 3D orientations, where each 3D orientation is represented as a set of direction-angles measured relative to a set of coordinate axes. The example embodiment further operates by receiving a set of other measurements of properties of the geologic volume. In response, the example embodiment operates by correlating the set of 3D orientations with the set of other measurements to generate a geologic correlation data structure.

Abstract: A dual-loop torque sensing system includes four position sensors disposed in the motor and the reduction drive to form a dual-loop for detection to calculate the output torques. The detection of the position sensors is for confirming abnormality of the dual-loop or the position sensors. A failure alarm is issued to enhance the safety of the working environment.

Abstract: An apparatus includes an acquisition unit configured to acquire quantitative information on a test substance, the quantitative information being estimated by inputting, to a learning model, two or more pieces of spectral information selected from a plurality of pieces of spectral information on a sample containing the test substance and a foreign substance.

Abstract: A building management system includes connected equipment configured to measure a plurality of monitored variables and a predictive diagnostics system configured to receive the monitored variables from the connected equipment; generate a probability distribution of the plurality of monitored variables; determine a boundary for the probability distribution using a supervised machine learning technique to separate normal conditions from faulty conditions indicated by the plurality of monitored variables; separate the faulty conditions into sub-patterns using an unsupervised machine learning technique to generate a fault prediction model, each sub-pattern corresponding with a fault, and each fault associated with a fault diagnosis; receive a current set of the monitored variables from the connected equipment; determine whether the current set of monitored variables correspond with one of the sub-patterns of the fault prediction model to facilitate predicting whether a corresponding fault will occur; and determin

Abstract: Technical solutions for mapping long nucleic acid sequence reads to a target sequence are provided. A directed graph, representing all or some of a genome and comprising one or more nonlinear topological components, is obtained for an organism having a heterozygous genome. Each nonlinear topological component has an initiating node and a terminal node connected by at least a first branch and a second branch. One of these branches corresponds to the target sequence. The directed graph uses a plurality of sequence reads from a biological sample of the organism. The sequence reads are overlapped by an unrestricted overhang amount, provided there is a minimum consensus region between each two sequence reads. A query sequence, encompassing at least the initiating node or the terminal node of a first nonlinear topological component, is obtained. The directed graph is used to form a mapping of the query sequence to the directed graph.

Abstract: A measurement apparatus comprising at least one device interface adapted to connect an auxiliary measurement device and/or a device under test, DUT, to said measurement apparatus; a user interface adapted to input by a user settings for performing a measurement by said measurement apparatus and an artificial intelligence, AI, module adapted to provide current settings of said measurement apparatus, wherein said artificial intelligence, AI, module is machine learned on the basis of connected devices and/or settings during historic measurements performed by said measurement apparatus.

Abstract: Provided are a total reflection X-ray fluorescence spectrometer and an estimation method which are capable of easily and quickly estimating whether contamination exists on a substrate through use of a machine learning device. The total reflection X-ray fluorescence spectrometer includes: a spectrum acquisition unit configured to acquire a spectrum; and a learning unit which includes an estimation unit configured to generate estimation data on an element contained in contamination on a surface of a substrate in response to input of the spectrum, and for which learning by the estimation unit has been executed based on teacher data including the spectrum for learning and data on the element contained in the contamination on the surface of the substrate which has been used to acquire the spectrum for learning and the estimation data generated when the spectrum for learning is input to the estimation unit.

Abstract: A battery diagnosis device mounted on a vehicle includes a processor that acquires information about a battery and executes diagnosis of the state of the battery. The processor is configured to determine whether there is abnormality about a first item based on a result of a determination of whether a first state is matched, and the determination of whether the first state is matched is based on the information about the battery. The processor is configured to end the diagnosis of the battery, when the processor determines that there is no abnormality about the first item. The processor is configured to continue the diagnosis of the battery and determine whether there is abnormality about the first item, as a second determination, when the processor determines that there is abnormality about the first item.