Abstract: An airflow sensor includes a sensing circuit module having a circuit board and a sensing component, a first sealing piece and a second sealing piece. The first sealing piece is disposed to cover at least a part of a first surface of the circuit board. The second sealing piece is disposed to cover at least a part of a second surface opposite to the first surface. A first accommodating cavity is formed between the first sealing piece and the circuit board. The sensing component is received in the first accommodating cavity. The first sealing piece includes a first waterproof air-permeable portion. A connecting soldering pad electrically connected with the sensing component is disposed at the circuit board. The airflow sensor is electrically connected with other circuitry components through the connecting soldering pad. The connecting soldering pad is not covered by either the first sealing piece or the second sealing piece.

Abstract: One or more computer processors obtain one or more time-dependent signals with one or more sensor pairs in a sensing system, respectively, wherein each of the one or more time-dependent signals are obtained as a differential signal of a respective pair of the one or more sensor pairs by successively sensing a reference liquid and each liquid in a set of liquids to be characterized with the respective pair; extracting one or more sets of features from one or more portions of the one or more time-dependent signals, respectively, each of the one or more portions including a signal portion obtained while sensing each liquid in the set of liquids with said respective pair; and characterize each liquid in the set of liquids based on the one or more extracted sets of features.

Abstract: The invention relates to a method for determining polymeric product properties (1), wherein a prediction model (7) is provided for calculating polymeric product properties (1) based on production parameters on a computer system, which production parameters comprise formulation portions (2) specifying raw material portions for polymeric production and comprise processing parameters (3) specifying process properties during polymeric production, wherein user input is provided to the computer system, which user input comprises user production parameters (4) specifying a set of production parameters, user product parameters (5) specifying polymeric product properties and a proximity metric for quantifying conformity with the user product parameters (5), wherein the computer system applies the user production parameters (4) to the prediction model (7) to calculate resultant product properties (8), wherein the computer system applies the proximity metric to the resultant product properties (8) with respect to the us

Abstract: A current protection system for an energy storage system includes: batteries connected in parallel; battery control units respectively connected to the batteries, and respectively having battery current measurement units; a battery connection panel connecting the battery control units to one connection point, the battery connection panel having a contact point current measurement unit; and a control unit configured to sum current values respectively measured by the battery current measurement units and a current value measured by the contact point current measurement unit, and to detect a presence of an internal short circuit based on the sum.

Abstract: A method for customizing a mattress includes acquiring a three dimensional image of a body of a user and preparing, by a processor, a three dimensional model of the body of the user using the three-dimensional image. The method also includes dividing, by the processor, the three dimensional model into a plurality of sections arranged parallel to each other and arrayed along a height of the three dimensional model, and determining a downward pressure to be exerted by each of the plurality of sections on the mattress. The method further includes determining, by the processor, one or more parameters associated with at least one portion of the mattress adapted to be arranged underneath an associated section when person lies on the mattress based on the determined downward pressure or topography.

Abstract: A learning method of a state estimation model includes training the state estimation model to learn a relationship of state estimation input data obtained by preprocessing terminal currents and terminal voltages of a secondary battery with a charge rate or a deterioration degree of the secondary battery. The state estimation input data includes time-series data of: difference gradients of terminal voltage differences with respect to terminal current differences; open circuit voltages; open circuit voltage change amounts; and integrated current values of the terminal currents.

Abstract: A method and apparatus for estimating a state of a battery. The method includes obtaining a measured voltage of a battery from a sensor connected to the battery, obtaining an estimated voltage of the battery from an electrochemical model stored in a memory, estimating an aging variation of the battery based on the measured voltage and the estimated voltage, and updating an aging parameter of the electrochemical model using the aging variation.

Abstract: This optical fiber distribution measurement system of distributed optical fiber sensing type includes: a tunable wavelength distributed feedback LD (1) for obtaining a DTSS signal through frequency shift analysis; an external resonance laser (2) for obtaining a DAS signal through phase shift analysis; a pulse compression coding circuit (4) including an intensity modulator (4a) and an phase modulator (4b); an acousto-optic switch (5); an erbium doped optical fiber amplifier (6); a circulator (7); a diversity device (8); a digitizer (11); a CPU (12); and a serial transfer interface (13). Through calculation on discrete signals sent from the digitizer (11), the CPU (12) converts an analyzed Rayleigh frequency shift signal obtained as the DTSS signal, to phase error, and corrects an analyzed phase signal obtained as the DAS signal, by the phase error.

Abstract: A detection value correction system is a detection value correction system that corrects detection values of a plurality of sensors that are arranged in a line and detect a physical quantity, and includes a correction processing unit that corrects a detection value of a target sensor, which is a sensor to be corrected, among the sensors based on at least detection values of sensors adjacent to the target sensor.

Abstract: A measurement system for determining a status of a high-voltage power system in a vehicle, the measurement system comprising: a first voltage measurement unit and a second voltage measurement unit, each of the first and second voltage measurement units being connected between a positive pole and a negative pole of the power system; a measurement system control unit connected to the first and second voltage measurement unit and configured to: control the first and second voltage measurement unit to simultaneously measure a voltage to determine a respective first and second pole-to-pole voltage; compare the first pole-to-pole voltage with the second pole-to-pole voltage, and if a voltage difference is higher than a voltage threshold value, provide an indication that the voltage measurement is not reliable.

Abstract: Methods and systems for drilling a well into a subsurface formation are configured for performing a downhole measurement to generate measured logging-while-drilling (LWD) data; retrieving a machine learning model that is trained using labeled LWD data, the labeled LWD data representing one or more environmental effects each causing a respective data signature in the LWD data, each respective data signature being associated with a corresponding label identifying the environmental effect; inputting the LWD data into the machine learning model; generating, by the machine learning model based on the inputting, a classification output representing at least one environmental effect represented in the LWD data; and generating, based on the classification output, corrected LWD data that removes a change to the LWD data caused by the environmental effect. The systems and methods are configured for drilling a well into the subsurface based on the corrected LWD data.

Abstract: An indoor air quality (IAQ) control system for a heating, ventilation, air conditioning, and Refrigeration (HVACR) system including an IAQ monitor that collects air quality data from an air quality sensor of an air quality-controlled space; a controller that manages a remediation device of the air quality-controlled space; and an IAQ management server that generates a biological pollutant estimate based on the air quality data using an algorithm that correlates the air quality data to the biological pollutant estimate, and generates a remediation recommendation. Additionally, a control method includes collecting air quality data from an air quality sensor of an air quality-controlled space using an IAQ monitor; managing a remediation device of the air quality-controlled space using a controller; generating a biological pollutant estimate based on the air quality data using an algorithm that correlates the air quality data to the biological pollutant estimate; and generating a remediation recommendation.

Abstract: A system for evaluating a battery cell includes an imaging device configured to take a first image of at least part of the battery cell when the battery cell is in a first deformation state, and take a second image of the at least part of the battery cell when the battery cell is in a second deformation state. The system also includes a processor configured to analyze the first image and the second image, identify a first region of the first image that represents a suspected discontinuity, the first region corresponding to a portion of the battery cell, compare the first region of the first image to a second region of the second image, the second region corresponding to the portion of the battery cell, and determine that the suspected discontinuity is an actual discontinuity based on a difference between the first region and the second region.

Abstract: A method for determining a trajectory function to represent an aging state trajectory for at least one electrical energy storage unit of one or more devices includes determining uncertainty-containing model values of aging states of the at least one electrical energy storage unit, cleaning error-containing model values of the determined uncertainty-containing model values, determining the aging state trajectory based on the cleaned model values, and determining the trajectory function based on the determined aging state trajectory.

Abstract: A sensor system having a MEMS gyroscope. The sensor system includes a seismic mass for acquiring a measuring signal, a drive circuit, an acquisition circuit for reading out and demodulating the measuring signal, whereby a rate of rotation signal and a quadrature signal phase-shifted relative to the rate of rotation signal is generated, and a digital processing circuit for compensating an offset of the digitized rate of rotation signal using the digitized quadrature signal. The acquisition circuit and the digital processing circuit encompass a rate of rotation circuit, and a quadrature circuit for generating and processing the quadrature signal and generating a compensation signal for the offset compensation of the digitized rate of rotation signal. At least part of the quadrature circuit is operable in at least one other operating mode than the rate of rotation circuit, independently of the operating mode of the rate of rotation circuit.

Abstract: A durability evaluation method of a secondary battery includes a durability step of continuing to apply an alternating current voltage of a durability frequency to a first secondary battery for evaluation over a durability test period, and an evaluation step of evaluating durability of an associated battery reaction associated with the durability frequency from among battery reactions of the first secondary battery. A temperature and a state of charge of the first secondary battery are adjusted to a first temperature and a first state of charge, respectively.

Abstract: A method of determining a presence of stratigraphic traps includes obtaining a Gamma ray (GR) log dataset. The GR log dataset includes values for a plurality of wells in an area of interest. The method includes determining a geological time period corresponding to a depth in the GR log dataset; determining a spectrum of Earth's orbital parameters corresponding to the geological time period; determining peak frequencies of the spectrum of Earth's orbital parameters; and determining a quantity of orbital cycles per well in the area of interest. The spectrum of Earth's orbital parameters includes parameters for eccentricity, obliquity, and precession. The orbital cycles may be reflected as sedimentary patterns in a geologic record. The method includes determining a presence of stratigraphic traps, based, at least in part, on differences in quantities of orbital cycles between one or more wells in the area of interest.

Abstract: A learning method of a state estimation model of a secondary battery includes training the state estimation model to learn a relationship of a state estimation input data preprocessed from state variables including measured terminal currents and terminal voltages of the secondary battery with a charge rate or a deterioration degree of the secondary battery. The state estimation input data includes time-series data of difference gradients, which is a change rate of the differences of the terminal voltages with respect to the differences of the terminal currents.

Abstract: A LIDAR system concurrently outputs multiple LIDAR output signals that concurrently illuminate the same sample region in a field of view for a data period. The sample region is one of multiple sample regions included in the field of view. The LIDAR system also includes electronics that use the multiple LIDAR output signals to generate LIDAR data for the sample region. The LIDAR data includes a distance and/or a radial velocity between the LIDAR system and an object that reflects the LIDAR output signals.

Abstract: A method may include obtaining an input gather regarding a geological region of interest. The method may further include obtaining parameterization data regarding a seismic processing operation. The parameterization data may correspond to a first set of process parameter values that are different from a second set of process parameter values that are used to generate the input gather. The method may further include generating a predicted output gather using a machine-learning model, the input gather, and the parameterization data. The machine-learning model may include an encoder model and a decoder model. The method may further include generating a seismic image of the geological region of interest using the predicted output gather.