176 results about "Sample Mode" patented technology

The invention discloses a geological disaster real-time monitoring method and system based on a ground sensing network, and belongs to the technical field of geophysical exploration, and the method comprises the steps: obtaining an acceleration parameter and a moisture content parameter of each sensor node; according to the change rate of the acceleration parameter and the moisture content parameter, identifying an environment sudden change event, generating an environment trigger signal to activate an emergency sampling mode of a target node and an adjacent node, and constructing a dynamic monitoring cluster; requesting a plurality of nodes in the dynamic monitoring cluster to synchronously measure similar parameters, and comparing measurement results to generate a compressed alarm packet; adjusting weight factors of different monitoring parameters by using the compressed alarm packet and pre-acquired real-time environment parameters, and generating an environment calibration risk index; and when the environment calibration risk index exceeds a preset risk threshold value, outputting a geological disaster early warning instruction. According to the method, multi-parameter cooperative triggering, dynamic cluster response, weight adaptive evaluation and compression transmission technologies are adopted, and the monitoring precision, timeliness and environmental adaptability can be comprehensively improved.

The invention relates to a dynamic speculation sampling method and system for large model reasoning. The method comprises the following steps: processing requests for multiple groups of input test data of similar scenes based on a predetermined application scene reasoned by the large model, obtaining the maximum throughput data volume of the throughput data volume of the target model in the conventional sampling mode and the maximum throughput data volume of the throughput data volume of the target model in the speculation sampling mode, wherein the maximum throughput data volume is larger than or equal to the maximum throughput data volume of the throughput data volume of the corresponding conventional sampling mode. Configuring a request number span sequence which is used for dynamic speculation sampling and is arranged from large to small and a draft token number sequence which is arranged from small to large and has corresponding length; aiming at a specific data processing request, determining a span value interval formed by adjacent request values of the current survival request number in the request number span sequence according to the current survival request number, and setting a draft token number for each request in the current survival request number based on a draft token value in a draft token number sequence corresponding to a lower request value of the span value interval.

The present disclosure relates to systems and methods implemented on a memory controller for detecting and mitigating memory attacks (e.g., row hammer attacks). For example, a memory controller may engage a counting mode in which activation counts for memory sub-banks are tracked. For example, a memory controller may engage a counting mode in which activation counts for memory rows of memory sub-banks are maintained. Under certain conditions, the memory controller may transition from the counting mode to a sampling mode to mitigate potential row hammer attacks. The memory controller may consider various conditions in determining whether to continue detecting and mitigating potential row hammer attacks in the sampling mode and / or transitioning back to the counting mode. By selectively transitioning between the different operating modes, the memory controller may reduce periods of time when the memory hardware is vulnerable to attacks.

The invention discloses an animal motion state sampling data processing method and system, and belongs to the technical field of information, and the method comprises the steps: obtaining animal motion state data; according to the animal motion state data, constructing a prediction model based on deep learning; according to the collected animal motion state data, the sampling mode of the monitoring data is judged by calculating energy; when the sampling mode is a high-frequency sampling mode, predicting an animal state signal of a next sampling point by using the prediction model; collecting an animal state signal of the next sampling point at the current sampling frequency; calculating an error E between the predicted animal state signal and the actually collected animal state signal; adjusting the sampling frequency according to the error E; when the sampling mode is a low-frequency sampling mode, sampling by using a preset frequency; and collecting real-time animal motion state data according to the sampling frequency. Aiming at high energy consumption caused by constant sampling frequency in the prior art, energy consumption in animal movement monitoring is reduced.

The invention provides a data sampling method, electronic equipment and a medium, the data sampling method is applied to the electronic equipment, and comprises the following steps: receiving N paths of data acquired by a plurality of sensors, N being an integer greater than 1; the sampling mode of each path of data in the N paths of data is obtained, the sampling mode comprises a resampling mode and a direct connection mode, the resampling mode indicates that the sampling rate is changed, the direct connection mode indicates that the sampling rate is unchanged, the sampling mode of at most M paths of data in the N paths of data is the resampling mode, and M is smaller than N; and sampling the N paths of data based on the sampling mode.

The invention discloses a parallel error correction method based on an FFT (Fast Fourier Transform) parallel period time-varying filter, which comprises the following steps that: a user can firstly select a sampling mode of a signal and then realize parallel error correction of an input signal through the FFT parallel period time-varying filter according to different sampling modes; in the error correction process, by means of optimization multiplexing of an FFT butterfly operation structure and optimization processing of the frequency domain data operation process, the operation speed is increased to the maximum extent, resources are saved, and meanwhile high-precision and high-real-time correction of the frequency response mismatch error is achieved.

The invention discloses a zero-phase-shift-angle dual three-phase permanent magnet synchronous motor current reconstruction method, solves the problem that a dual three-phase permanent magnet synchronous motor current reconstruction control system needs a single current sensor to perforate a plurality of branches, and belongs to the field of motor driving. The method comprises the steps of combining carrier phase shift with AZSPWM based on a sampling mode of collecting the sum of currents of B, C, Y and Z lower bridge arms in a single path and spatial distribution characteristics of two sets of windings of a zero-phase-shift-angle dual three-phase motor, constructing reconstruction regions, constructing a six-phase current reconstruction expression of each reconstruction region, and giving a convenient and rapid sector switching reconstruction error suppression method; selecting a corresponding six-phase current reconstruction expression according to the reconstruction area where the reference voltage vector is located and the ISAMPLE collected in real time, and reconstructing the six-phase current; and controlling the motor according to the reconstructed six-phase current. According to the invention, current reconstruction is realized, and vibration noise generated by zero-phase-shift-angle DTP-PMSM even switches and sideband harmonic waves thereof can be eliminated at the same time.

The invention relates to the field of water quality sampling, and discloses an intelligent multi-mode automatic water quality sampling device and a control method, a mechanical arm, a servo positioning device, an electromagnetic valve, a micro pump, a cleaning device and a bar code recognition module are used for carrying out sampling, the bar code recognition module is used for recognizing bar codes on a sampling container, a sampling mode is determined according to a recognition result, and the sampling mode is controlled. The sampling position and the sampling capacity are determined according to the sampling mode, and the position of a mechanical arm is adjusted through a servo positioning device according to the sampling position; the mechanical arm carries out sampling at the sampling position within preset sampling time; collecting a water sample by using a sampling container according to the sampling capacity; after sampling, obtaining the water quality index data of the current sample; and inputting the water quality index data into a pre-trained machine learning model, and determining a water quality pollution index according to an output result of the machine learning model. Therefore, the purpose of efficient, accurate and traceable water quality sampling is achieved.

The disclosed computer-implemented method may include (1) predicting a user state, wherein the user state is measurable via a plurality of different sensor sampling modes, (2) determining a level of uncertainty associated with the predicted user state, and (3) selecting, from the plurality of different sensor sampling modes, a sampling mode to measure the user state. Selecting the sampling mode may include selecting a first sampling mode in response to determining that the level of uncertainty is above a threshold or selecting a second sampling mode in response to determining that the level of uncertainty is below the threshold. Various other methods, systems, and computer-readable media are also disclosed.

The invention discloses an uncontrolled flow detection method and device, computer equipment and a readable storage medium. The uncontrolled flow detection method comprises the steps that the valve opening and closing state of a valve is detected, and a first switching signal representing that the valve is switched from the valve closing state to the valve opening state is obtained; the uncontrolled flow detection device receives a first switching signal and is switched from a first sampling mode to a second sampling mode, the gas sampling frequency of the second sampling mode is larger than that of the first sampling mode, and when the valve is in a valve closing state, the uncontrolled flow detection device is in the first sampling mode; the uncontrolled flow detection device responds to the situation that the sampling time is smaller than a preset time threshold value and the sampling gas amount is larger than or equal to a preset gas amount threshold value, and the uncontrolled flow is determined to occur. Through the arrangement, the accuracy of detecting the uncontrolled flow is improved, and meanwhile, the power consumption of the uncontrolled flow detection device can be reduced.

The invention provides a single-photon anti-bunching measurement method and system based on an ADC acquisition card. The single-photon anti-bunching measurement method and system are mainly used for acquiring and analyzing a second-order correlation function of a single-photon optical signal. Compared with a traditional single photon detection method, the high-speed ADC acquisition card in an intermediate trigger mode is adopted, redundant data are reduced, and meanwhile the data acquisition efficiency is improved. The system comprises a data acquisition unit, a data reading module, a data processing center and an algorithm execution module, and the data acquisition unit acquires a single photon signal through a confocal microscope system and converts an optical signal into an electric signal by using an SPAD detector. The ADC acquisition card adopts an intermediate trigger mode, so that sampling can be accurately triggered in a set effective sampling interval, and a large amount of redundant data existing in a traditional sampling mode is avoided; and the completeness of the time sequence is better ensured while the data is accurately acquired.

The invention discloses an automatic test system and method for a high-frequency switch matrix, and relates to the technical field of signal processing, and the method comprises the steps: calculating a confidence coefficient spectrum based on a frequency response compensation curve, adjusting a compression sampling rate, and constructing a random sampling mode; according to a random sampling mode, full-band response characteristic verification is carried out on the space-time-environment baseline data, and abnormal frequency points are identified; carrying out point-by-point comparative analysis on abnormal frequency points and historical reference data, calculating a mean square error and a maximum deviation, generating an error frequency response curve and a test report through a piecewise polynomial fitting method, and constructing a random sampling mode through adjusting a compression sampling rate to realize an adjustment mechanism aiming at different frequency band characteristic changes; and equally dividing and calculating a confidence coefficient weight factor based on the confidence coefficient spectrum so as to generate a sub-band sampling scheme with a weight mark, so that high-efficiency and high-quality automatic batch testing is realized.

The invention relates to the technical field of three-dimensional modeling, in particular to a few-sample target detection method and system based on a neural radiation field, and the method comprises the steps: collecting a to-be-modeled object, and carrying out the processing of the to-be-modeled object, and constructing a target data set; setting multi-resolution Hash mapping through the three-dimensional coordinates, establishing a Hash table, and obtaining mixed features based on the Hash table; performing neural network reasoning by using MLP to obtain density and RGB color, generating light and delimiting a light range, and determining a sampling mode to construct a probability density function; rendering to obtain a multi-view texture image, and fusing and outputting a three-dimensional model by using Poisson reconstruction; constructing two-dimensional images of different angles, generating a training data set, training the three-dimensional model by adopting the training data set, obtaining a to-be-detected sample, and inputting the to-be-detected sample into the trained three-dimensional model to obtain a detection result; through a cooperation mechanism of explicit three-dimensional reconstruction and implicit feature coding, a three-dimensional model is reconstructed to carry out few-sample target detection, and the view angle constraint of traditional two-dimensional detection is broken through.

The invention discloses a gas meter leakage alarm device and method, and relates to the technical field of gas meter leakage alarm, the gas meter leakage alarm device comprises a base mechanism, the base mechanism is internally provided with a substrate mechanism used for preventing performance reduction caused by poisoning of a leakage alarm; the bottom of the substrate mechanism is provided with a rotary vane mechanism used for extracting surrounding air for gas detection. The base mechanism is installed at the top of a possible gas leakage area, surrounding air is actively extracted, stable airflow is formed and enters the equipment, the airflow is guided by the inner rotary vane assembly to enter the area of the net wadding assembly, large-particle impurities are effectively filtered through the assembly, internal elements are protected, and the safety of the equipment is improved. And through the linkage design of the inner rotary vane assembly and the rotary assembly, the dynamic change of the air inlet direction and the periodic scanning of the detection airflow path are realized, a multi-point and wide-area coverage sampling mode is formed, the detection range is expanded, and the risk of missing detection caused by local airflow dead angles is avoided.

The present application relates to the technical field of coal sampling machinery, and particularly relates to a novel automobile sampling machine, which comprises a sampling execution device, a sample processing device and a control device. The sampling execution device is provided with a screw drill type sampling head, a driving mechanism, a lifting mechanism and a cleaning mechanism; the sample processing device comprises a sample collector and a sample preparation unit. The control device is connected with each device through an industrial communication bus and is configured to perform a sampling point random determination operation to generate coordinate information, control the sampling head to move to a target position, then drive the outer cylinder sawtooth structure to rotate and cut and break the lump coal in a breaking mode, and then switch to a sampling mode to drive the internal drill rod to drill and sample; the sampling amount is monitored through a sensor to generate a stop signal, the sampling head is controlled to be lifted to the sample collector to release the coal sample, and finally the cleaning mechanism is started to clean the residues. The present application realizes the automatic sampling of coal of all particle sizes and effectively solves the sample distortion problem caused by the fact that lump coal cannot be sampled.

The utility model discloses an explosion-proof high and low temperature test chamber, which comprises a fresh air fan, a stirring fan and a strong exhaust fan, and further comprises a temperature control module used for controlling the temperature in the chamber of the test chamber; the humidity control module is used for controlling the humidity in the cabin; and the sampling module is used for sampling and detecting gas in the cabin. The oil temperature heat exchange mode is adopted, and a heat source is arranged outside the anti-explosion area, so that the temperature can be accurately controlled, the anti-explosion effect can be ensured, and the application of an anti-explosion scene is realized; by adopting a sampling mode of condensing and then analyzing, not only is the real-time monitoring of the state of the gas in the cabin in a high-temperature state realized, but also the safety is greatly improved.

The invention discloses a single-resistor sampling method, electronic equipment, a storage medium and a product, and relates to the technical field of motor control, and the disclosed single-resistor sampling method comprises the steps: configuring the size of a sampling window and the moving size of a sampling point under a hardware topology in which a single sampling resistor is connected in series with a bus, determining a sampling moment according to the size of the sampling window and the moving size of the sampling point; and in each carrier period, two-phase current is selected for current sampling according to a predefined sampling mode at a sampling moment. According to the invention, a current sampling mode for a square-wave high-frequency signal injection scene can be optimized.

The present invention belongs to the technical field of processing of dynamic parameter data for projectiles, and discloses a method, a system and a circuit board for testing dynamic parameters of projectiles against strong impacts. After the circuit board is powered on, the circuit board enters a pre-sampling mode. When the sampled data meets the requirements of the set threshold and pulse width, the circuit board enters the formal sampling mode to start triggering and collecting data; the data that meets the requirements of the threshold and pulse width is stored, and the measurement and control terminal reads the stored data and saves it locally for subsequent analysis and processing of the data. The present invention provides a reliable and effective system for testing dynamic parameters of projectiles to protect data acquisition, solves the disadvantages of weak anti-impact ability and large volume of most systems for testing dynamic parameters of projectiles, can be adapted to different types of projectiles, and meets the test requirements under different working conditions. The present invention provides a system for testing dynamic parameters of projectiles, and sets a dual triggering module for the triggering mode to accurately prevent mis-triggering and non-triggering.

Described herein are methods and systems for adjusting a camera system to account for high-lux flicker condition while maintaining camera high sensitivity capability. Automatic switching is performed from quad-Bayer binning (QBB) mode which provides for high sensitivity capability and sub-sampling mode that addresses high-lux condition. An engine, such as an auto exposure engine, performs the switching determining scene data captured by an image sensor and adjusting exposure time and gain, and instructing the image sensor to operate at QBB mode or sub-sampling mode.

The embodiments of the present application provide a video encoding and decoding method, an apparatus, a device, a system, and a storage medium. The determined reconstructed sample mode of the current block can be one of an upper reconstructed sample mode, a left reconstructed sample mode, and an upper and left reconstructed sample mode, and the reconstructed sample selection modes are abundant, and the reconstructed sample mode that matches the current block feature information can be accurately determined from each of the above modes. In this way, the adjacent reconstructed samples of the current block and the adjacent reconstructed samples of the reference block are more accurately determined based on the accurate reconstructed sample mode, and linear transformation parameters are determined based on the accurately determined adjacent reconstructed samples of the current block and the adjacent reconstructed samples of the reference block, and linear transformation is performed on the first predicted value of the current block based on the linear transformation parameters to obtain an accurate second predicted value, thereby improving the illumination compensation effect of the current block and improving the prediction effect of the current block.

The application relates to a method and device for extracting features of a target object in a video frame by using a convolutional neural network, wherein the method comprises the following steps: calculating a proportion of a target object in a current video frame; determining a sampling mode of the current video frame according to the proportion of the target object, so as to generate video frames with different sizes; inputting the video frames with different sizes into corresponding receptive fields respectively, so as to generate a plurality of sampling feature sets; and generating a video frame feature set according to the plurality of sampling feature sets.

A first artificial intelligence (Al) engine receives a plurality of incomplete magnetic resonance (MR) K-space data matrices of an object scanned by an MR device. Each of the incomplete MR K-space data matrices comprises complex values and is the result of a corresponding san of the object by the MR device using a sparse-sampled MR scan acquisition sequence. Each sparse- sample MR scan acquisition sequence employs a unique sampling pattern. The first Al engine reconstructs a complete MR K-space data matrix of the scanned object, corresponding to a complete MR K-space acquisition. The reconstruction is based on the data in the plurality of incomplete MR K-space data matrices.

The present disclosure relates to systems and methods implemented on a memory controller for detecting and mitigating memory attacks (e.g., raking attacks). For example, a memory controller may enable a count mode in which an activation count of memory sub-banks is tracked. For example, a memory controller may enable a count mode in which an activation count of memory rows of a memory sub-bank is maintained. In some conditions, a memory controller may transition from a count mode to a sampling mode to mitigate potential hammer attacks. The memory controller may account for various conditions when determining whether to continue to detect and mitigate potential hammer attacks in the sampling mode and / or transition back to the counting mode. By selectively transitioning between different operating modes, the memory controller may reduce the time period during which memory hardware is susceptible to attacks.

The present invention belongs to the field of radio signal processing technology, and specifically relates to an infinite amplitude line spectrum estimation method based on robust compressed sensing and analog sampling ADC analog sampling when the amplitude of the signal arriving at the front end of the receiver exceeds the dynamic range of the ordinary ADC input. The analog sampling ADC analog sampling mode of the present invention and the proposed line spectrum estimation method utilize the robust compressed sensing theory to realize infinite line spectrum estimation when the amplitude of the signal arriving at the front end of the receiver is higher than the dynamic range of the ordinary ADC input, accurately estimate the amplitude of the signal and its carrier frequency information, and can overcome the problem of weak signal loss caused by direct sampling and quantization using an ordinary ADC. Experiments show that the present invention successfully estimates the amplitude and carrier frequency of multiple source signals when the input signal amplitude is higher than the ADC input dynamic range, thereby achieving reliable weak signal estimation performance at a low quantization level.

According to the Bluetooth-based indoor accurate positioning method and system provided by the embodiment of the invention, a real-time comprehensive confidence score is calculated according to a preset period, and IQ data sampling modes are adaptively switched; acquiring IQ data based on the corresponding sampling mode, and performing preprocessing, compression and coding; decoding and reconstructing the preprocessed data through an adaptive dictionary reconstruction algorithm to obtain complete IQ data; realizing multi-path identification and separation of IQ data by adopting dynamic time-frequency graph clustering; receiving path separation results of the plurality of base stations, performing weighted fusion on the preliminary AoA estimations of the plurality of sub-arrays, and performing AoA correction on a fusion result by using a machine learning model; and the least square positioning weight is dynamically adjusted, further optimization is carried out through an extended Kalman filtering algorithm, and a high-precision indoor positioning result is output in real time. According to the invention, the precision and stability of Bluetooth positioning in an indoor complex environment are effectively improved.

The invention discloses a multi-source heterogeneous satellite remote sensing image matching method based on sparse sampling description, and relates to the technical field of remote sensing image processing, and the method comprises the steps: generating an image pyramid of an input image, extracting a feature point set based on a convolution image of each layer of image, and carrying out the fusion to obtain a convolution image corresponding to a convolution direction; applying the constructed sparse descriptor at the feature points, determining the main direction of the feature points according to the statistical result of the convolution value of each pixel point in the sparse descriptor range, sampling at each sampling point of the sparse descriptor to obtain description vectors, and splicing the description vectors to obtain feature description vectors; matching is carried out based on the feature description vectors of the multiple input images to obtain a matching point pair set; the number of sampling points of the sparse descriptor is lower than that of the descriptor in a dense sampling mode in the related technology, the matching calculation amount can be further reduced, feature point matching between the images can be completed only through fewer sampling points, and the calculation efficiency can be improved.

The invention relates to the technical field of single-pixel calculation imaging, in particular to a self-adaptive sampling dynamic target tracking method and device based on single-pixel imaging, and can solve the problem of limitation of a traditional fixed sampling mode in efficiency and quality to a certain extent. The self-adaptive sampling dynamic target tracking method based on single-pixel imaging comprises the following steps: generating four groups of sine and cosine coding illumination patterns with different phase characteristics; circularly projecting the illumination pattern to a target scene through a spatial light modulator to obtain a modulation signal; receiving a modulated reflected light signal of a target scene based on a photoelectric detector, converting the light signal into an electric signal, and receiving the electric signal by a data acquisition card; dynamically adjusting the sampling frequency by adopting a self-adaptive sampling strategy, and controlling the maximum and minimum sampling times based on a voltage difference threshold value; target displacement is calculated by using Fourier linear phase shift characteristics, static background interference is eliminated in combination with a background frame difference method, and real-time tracking of a dynamic target is realized.

The invention provides a low-cost real-time multipath signal data acquisition and analysis device, which comprises a power supply circuit, a signal input analog-to-digital conversion module, a main controller, a storage device, a network chip and a display screen, signals to be collected are connected to the analog-to-digital conversion module through the input port, after the analog-to-digital conversion module processes the signals, the main controller reads data processed by the analog-to-digital conversion module in a bus mode, and after the main controller stores the data into a cache, the data can be written into a storage device and can be sent out through a network port according to an agreed protocol data format. And the display screen is used for displaying the current sampling state, sampling frequency, sampling precision, sampling range, sampling mode and sampling channel. The method can be suitable for various application scenes, and the accuracy and convenience of data acquisition are improved.

The invention discloses a control method of an intelligent lock induction handle, the intelligent lock induction handle and an intelligent lock, and the method comprises the steps: after the intelligent lock is powered on, a capacitive induction array module is in a low-power-consumption awakening mode by default, and only when a certain group of capacitive induction PADs detects that the capacitance variation exceeds a preset threshold value, the capacitive induction array module is in a low-power-consumption awakening mode; switching to a high-frequency sampling mode for data acquisition; the signal acquisition and preprocessing module is used for filtering the multiple groups of PAD data sampled at high frequency and transmitting the filtered multiple groups of PAD capacitance change data to the micro-control unit; the micro-control unit operates a machine learning model, analyzes the multiple groups of PAD capacitance change data in real time, and judges whether a door opening intention exists or not; if the door opening intention exists, the micro-control unit sends an unlocking trigger signal to the intelligent lock master control through the communication module, and the intelligent lock master control controls unlocking according to the unlocking trigger signal. Whether the user has the door opening intention or not can be accurately judged, and the recognition accuracy of the door opening intention is remarkably improved.

The hematology analyzer comprises a main machine and a puncture device, a front face cover is fixedly arranged at the front end of the main machine, a sampling groove of a concave structure is formed in the edge of the lower end portion of the front face cover, and the puncture device is fixedly arranged in the upper end portion of the front face cover. A sampling needle of the puncture device can vertically and downwards extend out of the front mask into the sampling groove; the control end of the puncture device is electrically connected with the host; a sampling key or a puncture test tube adapter is arranged on the inner wall of the sampling groove, and the sampling key or the puncture test tube adapter is electrically connected with the host. Compared with the prior art, the utility model realizes the switching between an automatic sampling mode and a manual sampling mode, and has the advantages of flexible conversion, stronger independence, convenience in installation and adjustment, efficient and convenient sampling and low cost; and operation is convenient, size is small, parts are few, and maintenance is convenient.