Abstract: A power meter includes a current sensor sensing a current of a conductor signal transmitted along a conductor and outputting a current signal based on the current, a voltage sensor sensing a voltage of the conductor signal and outputting a voltage signal based on the voltage, and a controller receiving the current signal and the voltage signal and calculating a power factor of the conductor signal based on the current signal and the voltage signal. The controller determines an operating state of a powered device to which the conductor feeds the conductor signal based on the power factor.

Abstract: An object outline extracting method for a vehicle includes: as light detection and ranging (lidar) data is received, determining a reference point based on positions of points in global quadrants generated based on the vehicle and local quadrants generated based on a cluster box of an object, and detecting the object; extracting representative points of the points and outer points of the object; determining a position of a second point with respect to a first straight line connecting a first point and a third point among the outer points; and determining the second point as an outer point of the object or as a noise point based on the position of the second point with respect to the first straight line.

Abstract: A method for processing proppant from a well. A plurality of proppant samples are collected during drilling of a well for imaging analysis. In addition to imaging analysis a further correction factor is determined for the samples using additional analysis on a portion of the samples. Determining and applying the correction factor to the imaging results provides a more accurate proppant log. The additional analysis can be by scanning electron microscopy, such as for differentiating the silicon proppant particles from other elemental particles resulting from the drilling.

Abstract: According to an embodiment, an information processing device includes one or more processors configured to: analyze operation data of a battery and calculate feature information indicating a feature of charging/discharging by the battery; select, in accordance with the feature information, an estimation method among a plurality of estimation methods for estimating a state of the battery from the operation data; and estimate the state from the operation data using the selected estimation method.

Abstract: A method for indicating a state of a battery of a vehicle when the vehicle has suffered an accident, in which acoustic signals, which include coded items of information about at least one operating parameter of the battery, are sent by a loudspeaker of the vehicle. The acoustic signals are received by a microphone of a terminal and the coded items of information are decoded and output by the terminal.

Abstract: The present invention discloses an instability fault monitoring method with self-learning strong generalization capability and an instability fault monitoring apparatus. First, electrical volume acquisition nodes are identified and data composition features are collected to form samples, the samples including a small number of labeled data samples and a large number of unlabeled data samples. Then, the samples are input into a reinforcement learning network of actor-critic architecture, and self-learning can be realized by means of the network to form different diagnostic models, where actor selects a suitable network layer from action space (alternative models) to construct a deep belief neural network and formulate a corresponding strategy, critic is configured to evaluate the strategy currently formulated by actor, and the reinforcement learning network outputs the corresponding actor-critic architecture and diagnostic model.

Abstract: A feeding system for feeding animals, in particular cows, at a feeding place that includes at least one autonomous feeding device with a container for accommodating a batch of feed from a feed supply. The autonomous feeding device takes feed held in the container to the feeding place and dispenses it at that feeding place. The feeding system includes a feed-quantity measuring device for measuring a feed-quantity value for the quantity of feed at the feeding place, and a control system receives feed-quantity values from the feed-quantity measuring device. The control system stores a plurality of feed-quantity values received from the feed-quantity measuring device in a memory. The control system determines at least one value of a variable which is representative of a relation between the feed-quantity values and time, at least at and/or after the last measurement instant, based on the feed-quantity values stored in the memory.

Abstract: A test method determines at least one status parameter of an individual undergoing peritoneal dialysis. The status parameter(s) may include a transport property of the peritoneum, a tonicity, or a residual volume. The test method includes receiving first data indicative of a flow rate as a function of time of a treatment fluid into and out of a peritoneal cavity during a test procedure, and second data comprising measured data samples representing a concentration of one or more solutes in the treatment fluid at time points during the test procedure. The test method also includes computing, based on the first data and by use of a transport model for a peritoneal membrane, estimated data samples representing the concentration of the one or more solutes in the treatment fluid at the time points and determining the status parameter(s) as a function of the measured data samples and the estimated data samples.

Abstract: Provided is a characteristic element combination anomaly derivative method of determining occurrence of a deep concealed plate-shaped ore body of a hydrothermal deposit. The method determines the spatial occurrence of the deep concealed ore body of the hydrothermal deposit through four working procedures, including: fine measurement of a metallogenic structure and systematic collection of samples, sample processing and multi-element quantitative analysis, mathematical model construction of characteristic element combination anomaly, and determination of the occurrence (the strike, the dip direction, the dip angle and the pitch direction) of the deep concealed ore body. The method solves the problem of judging the occurrence of the deep concealed ore body by interpreting geochemical anomalies of a primary halo and a secondary halo.

Abstract: Systems, methods, and structures providing dynamic line rating (DLR) for overhead transmission lines based on distributed fiber optic sensing (DFOS)/distributed temperature sensing (DTS) to determine temperature of the electrical conductors. Environmental conditions such as wind speed, wind direction, and solar radiation data, are collected from environmental sensors and an acoustic modem that convert the digital data collected from the environmental sensors into generated vibration patterns that are subsequently used to vibrationally excite a DFOS optical sensor fiber. The DFOS system monitors the optical sensor fiber and detects, measures, and decodes the vibrational excitations. An Artificial Neural Network (ANN) determines a heat transfer correlation between the temperature of the optical sensor fiber and electrical conductor(s) (core temperature).

Abstract: A method of measuring stable hemoglobin A1c by a hemoglobin separation analysis method based on cation exchange, the method comprising: obtaining an analysis signal from a blood specimen to be measured by the separation analysis method; determining a C value, which is a peak value of a stable hemoglobin A1c peak, and an X value, which is a peak value of a specific peak appearing between the stable hemoglobin A1c peak and a hemoglobin A0 peak, from the analysis signal; and correcting the C value by applying the C value and the X value to a predetermined arithmetic expression to obtain a C? value that is a reduced value from the C value, wherein the arithmetic expression is determined based on a correlation between a C value and an X value obtained from a blood specimen in which a stable hemoglobin A1c value is known by the separation analysis method.

Abstract: Aspects of the disclosure provide for using anticorrelation in propagation resistivity logs to detect boundary approaching conditions. Geosteering may be performed based on the detected boundary approaching conditions. The boundary detection and geosteering may be for a high angle well. The anticorrelation may be between attenuation resistivity and phase shift resistivity.

Abstract: The present invention relates to personal protective equipment for individuals that allows the wearer, and those in close proximity to the wearer, to continuously monitor the wearer's temperature. The eyeglasses have a temperature sensor that is disposed adjacent the head of the wearer, and a display connected to the temperature sensor which shows the current temperature of the wearer. If the temperature is detected at a level higher than a user specified threshold, the display changes color or provides another warning to those nearby, as well as to the individual wearer.

Abstract: A method is provided for automating testing of a SUT. The method includes providing an interface on a computing device to test instruments configured for testing the SUT, to software applications, and/or to browsers respectively running on the test instruments; providing an RPA application and an OCR application on the computing device; controlling the test instruments via the interface to perform a measurement of the SUT via the interface using the RPA application according to a predetermined test procedure; receiving test data from the test instruments via the interface in response to the measurement; capturing the test data and translating the captured test data to readable data using the OCR application; repeating the controlling of the test instruments, the receiving and capturing of the test data, and the translating of the captured test data to acquire aggregated test data; and generating a report populated with the aggregated test data.

Abstract: A data processing method includes a data preparing step of preparing actual data of a three dimensional chromatogram including a chromatogram and a spectrum acquired by chromatography analysis for a sample containing components, and spectral data for the components in the sample whose peaks overlap each other on the chromatogram a similarity calculating step of calculating, for each wavelength region, a similarity between wavelength regions corresponding to each other in the spectral data while comprehensively changing the wavelength regions a target range setting step of setting a target range by searching for a wavelength region having a similarity lower than an overall similarity between the spectral data based on a calculation result in the similarity calculating step and a peak separating step of creating chromatogram data for the components by performing, using the spectral data, matrix decomposition of the actual data in the target range.

Abstract: A force sensor includes an input surface that is pressed, and a first sensor and a second sensor stacked in order in a force direction with respect to the input surface. The input surface has a detection region in which force is detected, one of the first sensor and the second sensor is a force distribution sensor having a plurality of individual detection regions dividing the detection region and configured to detect the force input to the individual detection regions, and the other of the first sensor and the second sensor is a force sensor having a comprehensive detection region overlapping at least two or more of the individual detection regions and configured to detect the force input to the comprehensive detection region.

Abstract: A deterioration level calculation method for a secondary battery of the present disclosure includes: computing a measurement-based measured value charging rate voltage curve of a secondary battery and a theoretical value charging rate voltage curve derived from a component of the secondary battery; computing an evaluation value to evaluate a difference between a measured value and a theoretical value of the charging rate voltage curves by using an evaluation function in which a high charging rate region, a low charging rate region, and a difference evaluation value are weighted higher than a whole difference evaluation value; and outputting, as a parameter indicating a deterioration level, a shift amount in a charting direction applied to the theoretical value charging rate voltage curve when the evaluation value is minimized.

Abstract: Various embodiments include a method for ascertaining a mean capacity loss of a battery storage device. The method may include: providing results of a measurement series on the battery storage device taken during a plurality of load cycles, each including a charging and a discharging phase; ascertaining a first and a second discharge capacity of the device using a first and a second calculation rule, wherein each calibration is different for correcting values of the current measurement; and carrying out an optimization process so a calibration of the current measurement is ascertained to achieve the greatest match of the ascertained first discharge capacity and the second discharge capacity.

Abstract: A defect detecting system of an automotive apparatus is provided. The defect detecting system includes: a digital function block including: a memory device configured to store data, and a first Built-In Self Test (BIST) configured to detect a defect of the memory device; an analog function block including a verification parity generator configured to: receive the data through a first path, generate verification parity of the data, and transmit the verification parity to the digital function block through a second path; and a level shift block connected between the digital function block and the analog function block, wherein the level shift block is configured to: convert the first path from a first power supply voltage to a first level based on a second power supply voltage, and convert the second path from the second power supply voltage to a second level based on the first power supply voltage.

Abstract: A point cloud positioning error detection method, performed by a processing device, includes: obtaining a plurality of pieces of first point data and a target point cloud map, wherein the target point cloud map includes a plurality of pieces of target point data, registering the first point data and the target point data to obtain a plurality of pieces of second point data, selecting a plurality of pieces of third point data from the second point data according to a first default distance, calculating a plurality of matching scores of the third point data relative to the target point data, obtaining a plurality of step vectors corresponding to the third point data, respectively, when said registering converges, and obtaining a plurality of effective values according to directions of the step vectors, and outputting a localization fault detection result based on an intersection of the matching scores and the effective values.