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.

Abstract: Provided are a direction of arrival (DOA) estimation method and system for a sparse array based on Vandermonde decomposition reconstruction, relating to the technical field of array signal processing. The method includes: constructing a covariance matrix completion optimization model based on sparse array signals and uniform linear array signals, and performing Vandermonde decomposition by using characteristics of a uniform linear array; introducing a nuclear norm to optimize a rank function in the model, and updating the covariance matrix completion optimization model; and introducing an auxiliary variable to transform the model into a solvable optimization problem, and solving the problem by an alternating direction multiplier method to obtain an optimal estimation value. The DOA is estimated using a root multiple signal classification algorithm.

Abstract: The present application discloses a method for delineating exploration reserved areas of deep-sea polymetallic sulfide resources, which is suitable for delineating the exploration reserved area for further exploration by delineation and evaluation of the prospect area after prospecting and investigation of seabed sulfide. The method comprises the following: a stage of extracting prospecting indicators; a stage of evaluating metallogenic prospect areas; and, a stage of delineation of the exploration reserved areas. The present application can be applied to the evaluation and prediction of deep-sea polymetallic sulfide resources, in particular to the delineation of exploration reserved areas for deep-sea polymetallic sulfide resources.

Abstract: A method for locating a high-impedance ground fault of a smart distribution network with topology change adaptation includes: acquiring a fault traveling wave sample within a specified time window after a fault occurs, and performing continuous wavelet transform on the fault traveling wave sample to obtain traveling wave full waveform feature information; establishing a graph structure of a power distribution network, obtaining a corresponding adjacency matrix, and obtaining node position and structure encoding information in the graph structure through graph random walk and graph Laplace transform; concatenating the node position, the structure encoding information and the traveling wave full waveform feature information to obtain a node feature, and inputting the node feature and an edge feature into the graph structure to establish a graph sample data set; constructing and training a Graph Transformer model; and calling the trained Graph Transformer model to locate a fault in to-be-detected sample data.

Abstract: The invention discloses method and apparatus for operation and maintenance of a battery and an electronic device. The method includes: performing a charging/discharging process on a to-be-analyzed battery cluster, and determining key battery parameters (KBP) of a plurality of cells in the battery cluster; determining whether the battery cluster is abnormal depending on whether the KBPs of the cells in the battery cluster exceed a normal range; and performing operation and maintenance on the battery cluster in a case that the battery cluster is abnormal. The internal resistance, the capacity parameter, and the self-discharge parameter of the cells are used as the KBPs of the cells. Based on the KBPs, whether the cells are abnormal can be determined more accurately, and the cause of the abnormality can be determined. Accordingly, more accurate operation and maintenance can be subsequently realized for the battery cluster when required.

Abstract: A gesture recognition method and a related apparatus are provided, to obtain a first point cloud data set by filtering an original point cloud data set collected by a radar apparatus. The first point cloud data set includes a plurality of frames of first point cloud subsets, the first point cloud subset includes a first cluster center, the first cluster center is a cluster center of a plurality of pieces of point cloud data in the first point cloud subset, a maximum horizontal distance between any two first cluster centers meets a first preset condition, and duration of the first point cloud data set meets the first preset condition. Point cloud data whose motion track does not match gesture motion can be effectively filtered out. Gesture recognition is performed by using the first point cloud data set obtained by filtering.

Abstract: A battery-powered outdoor power equipment includes a battery, a first electric motor configured to operate at a first power level and a second power level, a runtime module having a display and a first control button, and a controller in communication with the battery, the electric motor, and the display. The controller being configured to communicate a remaining runtime of the battery to the display based on a charge level of the battery, and update the remaining runtime in response to an input to the first control button that changes the first electric motor from the first power level to the second power level.

Abstract: Provided is a method of controlling vibration in an artificial satellite vibration test by using a controller and a plurality of shakers installed on an artificial satellite and configured to vibrate at a predetermined frequency. The method includes: performing a pre-test operation in which the controller sets the artificial satellite as a system and calculates a plurality of input values using a frequency response function of the system and an inverse matrix of the frequency response function; determining, by the controller, whether errors, which are differences between target values and a plurality of output values resulting from the plurality of input values, are within a first range; and performing, by the controller depending on results of the determination, single shaker control using one of the plurality of shakers, or multiple shaker control using the plurality of shakers.

Abstract: A ballistocardiography device comprises: a support for a person, a plurality of pressure or acceleration sensors each providing an analogue signal representative of a pressure or an acceleration measured at a point on the support or on the body of the person, a multiplexer (41) configured to receive a plurality of analogue signals from sensors and to output a signal successively representative of the input signals and an operational amplifier (52) having one input (57) connected to the output of the multiplexer and provided, on its other input, with a mixed filter comprising an analogue-to-digital converter (53) converting the signal coming out of the multiplexer into digital data, a digital filter (54) acting on the digital data and a digital-to-analogue converter (55) converting the filtered digital data into an analogue signal that is fed into the other input (58) of the operational amplifier.

Abstract: Tunnel defect detecting method and system using unmanned aerial vehicle (UAV) are provided, and the UAV is equipped with a light-emitting diode (LED) module, a camera, a laser radar, an ultrasonic distance meter and an inertial measurement unit (IMU). The method includes: collecting images in a tunnel based on the LED module and the camera to obtain a training image set; training by using the training image set to obtain a defect detecting model, collecting real-time tunnel images, detecting suspected defects to the real-time tunnel images by the defect detecting model, obtaining pose information of the UAV based on the camera, the laser radar, the ultrasonic distance meter and the IMU to control the UAV to hover. The method can realize accurate pose estimation and defect detection in the tunnel with no GPS signals and highly symmetrical inside.

Abstract: Disclosed are systems and methods for a sensor synchronization system. Sensors of an autonomous vehicle (AV) are synchronized to cause sampling of a first sensor of the sensors to occur in alignment with sampling of a second sensor of the sensors. A sampling time point for the first sensor is determined based on the synchronizing the sensors, the sampling time point comprising a time when the first sensor is in alignment with the second sensor. The sampling time point is provided to the first sensor. A controller circuit of the first sensor determines an offset of the first sensor to apply to a local system time of the first sensor to cause a data acquisition of the first sensor to occur at the sampling time point. The data acquisition is performed at the first sensor using the sampling time point and the offset.

Abstract: A charging control method for a battery pack at least including two batteries connected in parallel. The method includes determining, based on a charging parameter, states of charge (SOCs) corresponding respectively to the batteries at elapsing of a preset charging time, calculating, according to the SOCs, an amount of charge transfer between the batteries after stopping charging at the elapsing of the preset charging time, judging whether a charge-receiving battery is in a critical overcharge state according to the amount of charge transfer, and, in response to the charge-receiving battery being in the critical overcharge state, stopping charging the battery pack at the elapsing of the preset charging time.

Abstract: The present disclosure relates to a method for predicting soil hydraulic properties based on an upward infiltration experiment of a cutting ring soil sample. According to the new design approach, based on an inverse process of one-dimensional water upward infiltration analytical solution of homogeneous dry soils under a boundary condition of a constant pressure, by recording the data regarding cumulative infiltration amounts and infiltration times during the upward infiltration process of the cutting ring soil sample and a time for the wetting front to reach the upper surface of the cutting ring soil sample, a saturated hydraulic conductivity of the cutting ring soil sample is measured, and the soil hydraulic properties are quickly obtained.

Abstract: The present disclosure relates to a method. The method includes receiving, via one or more processors, colorimetric data corresponding to a portion or integrality of a surface of a field component. The method also includes determining, via the one or more processors, a color value associated with the surface. Further, the method includes retrieving, via the one or more processors, trend data indicating relationships between a plurality of color values and a plurality of conditions corresponding to the field component. Further still, the method includes determining, via the one or more processors, a condition of the plurality of conditions correspond to the field component based on the trend data and the color value. Even further, the method includes generating, via the one or more processors, a condition output based on the determined condition.

Abstract: A method to assess reservoir continuity between single wells in an oilfield formation within a region with several petroleum reservoirs, including the steps: collecting water samples from each of the single wells, obtaining the geochemical composition of each of the water samples, obtaining a dataset from the geochemical compositions of the single wells, analyzing the dataset using principal component analysis to obtain principal components of the dataset, clustering the principal components to obtain clusters, identifying hydrodynamic groups from the clusters, assigning the wells to hydrodynamic groups, wherein wells within one single hydrodynamic group are considered to be hydraulically communicated.