39 results about "Maximum error" patented technology

The invention belongs to the technical field of secure communication, and discloses a residual error probability estimation method for secure communication under a guess decoding condition, which comprises the following steps: generating a noise error pattern by using a GRAND algorithm and a receiving end SPDU, performing guess decoding on the receiving end SPDU, and calculating a guess SPDU sequence; calculating a syndrome of CRC coding, judging a guess decoding result according to the value of the syndrome, and calculating REP performance after guess decoding; and searching the minimum CRC signature length under the condition of the given maximum error correction capability M, so that the REP performance of CRC error detection is optimal. According to the method, on the basis of an IEC61784-3 international standard heavy residual error probability calculation mode, closed mathematical expressions of residual error probabilities corresponding to different maximum error correction capabilities M under the condition of guessing random additive noise decoding are deduced, and the residual error probability performance is improved at the cost of increasing the CRC signature length.

The invention provides a data processing method, device and system, and relates to the technical field of computers. According to the data processing method, an access logic address of a user in the storage system is converted into a first physical address and a second physical address, an error correction code is read or written according to the first physical address and the second physical address, and the first physical address and the second physical address correspond to different address spaces of different storage particles in a memory. Under the condition that the storage medium fault area has aggregation characteristics and the fault areas of different storage particles are the same or similar, code words of error correction codes are written or read in different address spaces, namely different bit fault rate areas, in different storage particles, so that the code words of the error correction codes are dispersed in the address spaces of the different bit fault rate areas; the maximum error bit number of the code word of the error correction code can be reduced, the error bit number difference of accessing different address spaces is reduced, the waste of error correction code resources is reduced, and the reliability of a memory is improved while the utilization rate of the error correction code resources is improved.

The invention relates to a measuring head measurement compensation method and system based on multi-dimensional error data. The method comprises the steps of collecting actual coordinate values of the X axis, the Y axis, the Z axis and the four space diagonal directions of a workpiece, obtaining actual coordinate deviation values in the corresponding directions through calculation so as to obtain actually-measured multi-dimensional error data of the workpiece, obtaining an error trend fitting line of the multi-dimensional error data through calculation, and combining the actually-measured multi-dimensional error data to obtain an error trend fitting line of the workpiece. Constructing a composite error coupling model, calling a pre-stored compensation parameter library in real time according to the composite error coupling model, dynamically correcting the measuring parameters of the measuring head to generate self-adaptive compensation parameters, and performing secondary measurement verification on the compensated measurement data, when the maximum error value is smaller than a preset error threshold value and the average error value meets a preset precision threshold value, compensation is completed, and otherwise, model construction and parameter compensation are executed again. According to the invention, through integration of mechanical error acquisition and dynamic parameter correction compensation, precision optimization of the measuring head under a complex working condition is realized.

The invention relates to a harmonic state estimation method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring harmonic monitoring data of an initial population and at least one measurement node; wherein the initial population comprises at least one harmonic estimation potential solution; constructing a harmonic state estimation equation according to the harmonic monitoring data; according to the harmonic state estimation equation, calculating an error value of each harmonic estimation potential solution to determine a first potential solution with the minimum error value and a second potential solution with the maximum error value; and updating each harmonic estimation potential solution according to the first potential solution and the second potential solution, re-executing the step of calculating the error value until the error value meets an iteration stop condition, and predicting the harmonic state of the target node according to the first potential solution. By adopting the method, the maintenance cost of the monitoring points can be reduced on the basis of ensuring the harmonic state estimation accuracy.

A method is disclosed of selecting users for multi user multiple-input multiple-output (MU-MIMO) communication from an initial set of potential users. The method comprises repeating the following steps in successive iterations until a stopping criterion is met: determining a channel correlation metric for each user in the set of potential users, reducing the set of potential users by exclusion of a user based on the channel correlation metric, and calculating a performance metric of the set of potential users. The method also comprises selecting users corresponding to one of the sets of potential users, wherein the selection is based on a comparison of the calculated performance metrics of the sets of potential users. The channel correlation metric for a user may comprise one or more of: a channel filter norm for the user, a channel norm for the user, a channel gain for the user, pair-wise correlations between the user and one or more other users of the set of potential users, and a channel eigenvalue for the user. The performance metric may comprise one or more of: a sum-rate, a per-user-rate, an average error rate, a maximum error rate, a per-user error rate, and a sum-correlation. Corresponding apparatus, network node and computer program product are also disclosed.

In sum, the disclosed invention constitutes a method and a system for the lossy compression of time series consisting of real numbers, depicted using the IEEE Standard for Floating-Point Arithmetic (IEEE 754). It provides lossy compression of time series using a user-defined maximum tolerable loss per value, aiming to enhance storage and transmission efficiency. This way, it allows the storage of real numbers' time series using the least memory / storage space possible in a computer system, as well as the transmission of real numbers' time series with minimum bandwidth requirements. It allows for case-by-case determination of the acceptable loss so that the outcome reflects the distinct requirements of each case and exploits the similarity of consecutive data points to ensure optimal resources management. The technical result of the invention is the significant economization of storage space and bandwidth as the present invention readily outperforms state-of-the-art methods, leading to more efficient applications.

The invention discloses a control method for dynamic operation of stage turning plate equipment. The control method comprises the following steps: S1, establishing a turning plate motion range mathematical model for a turning plate participating in motion; s2, obtaining a relational expression between corresponding line segments in the model according to the operation angle of the turning plate, and obtaining a spatial distance range of dynamic operation of the turning plate according to the relational expression; s3, on the basis of the spatial distance range of dynamic operation of the turning plates, the spatial distance change range of each turning plate participating in movement is obtained; and S4, the maximum error value in the operation process is set for the turning plates, and the criterion that the multiple turning plates ascend and descend at the same time is that the position value of the operation distance of each turning plate at the same time is smaller than or equal to the maximum error value of the turning plates in the operation process. The stage equipment software control system has the advantages that the time cost of debugging by various manpower experience is reduced, the risk of equipment running collision in the performance process is reduced, and the safety and stability of the stage equipment software control system are improved.

The application discloses a kind of based on best fitting accuracy reflector antenna actuator layout method, comprising: obtaining the average of reflector deformation under the condition of looking up and pointing flat, and the deformation of reflector at different pitch angles is pre-adjusted;The pre-adjusted deformation reflector is obtained by translation and rotation to best approximate ideal reflector, obtain the maximum error distribution range, determine the layout scheme of actuator corresponding to reflector;Determine the adjustment target surface when reflector antenna is in the condition of looking up, obtain the adjustment amount of actuator when reflector antenna is in the condition of looking up;Obtain the adjustment accuracy when reflector antenna is in the condition of looking up;Update the preset error threshold value, and correspondingly update adjustment accuracy, until the curve of adjustment accuracy under all conditions with preset error threshold value is obtained;According to the adjustment accuracy of engineering requirement, the corresponding error threshold value is obtained on the curve, and the layout scheme of actuator is obtained.The application can obtain the best actuator layout scheme.

A storage device may execute, upon power-on, a training operation on a pattern data chunk a number of times, and update one or more operation parameters of the random access memory when the number of maximum error bits generated during the training operation is equal to or greater than a set threshold number of bits.

This invention discloses an adaptive RS channel coding optimization method based on fuzzy inference, aiming to solve the problems of high bit error rate and long setup time in ammunition setting communication. This invention dynamically optimizes the codeword length of RS coding by real-time acquisition of channel state parameters, including bit error rate, error concentration, and response sensitivity, combined with a fuzzy control algorithm. First, setting information messages and test messages are designed to detect channel state and obtain dynamic environmental parameters. Second, the channel state parameters are fused using fuzzy inference to generate the optimal coding strategy. Finally, the optimized RS coding parameters are applied to ammunition setting communication, significantly shortening the encoding and decoding time. Compared with traditional RS coding methods, this invention reduces encoding and decoding time by more than 40% without reducing the maximum error correction capability, effectively adapting to complex dynamic channel environments. This method is suitable for ammunition setting communication scenarios with strict requirements for high reliability and high efficiency.

The invention relates to the technical field of approximate calculation circuit design space exploration, in particular to an evaluation method for error correction capability of an approximate arithmetic unit and a comprehensive design system, which comprehensively considers error evaluation and error correction capability values, gradually replaces the approximate arithmetic unit and selects the approximate arithmetic unit with the maximum error correction capability, thereby improving the error correction capability of the approximate arithmetic unit. The approximate arithmetic units are selected from the approximate libraries, and the approximate libraries constructed by the approximate arithmetic units enable the system to select the approximate arithmetic units according to the diversity of different calculation requirements to meet the design requirements of diversified approximate calculation circuits. On the premise that the circuit meets error constraints, the fault-tolerant capability of the circuit is effectively improved, and the optimal performance is achieved. The whole approximate calculation circuit design is applied to an approximate advanced comprehensive design system, the system with the optimal performance is obtained, and the optimal balance is obtained between precision and power consumption.

The application discloses a control method for switching of an excitation power supply of a superconducting phase modifier. The method includes sampling actual current and reference current of an excitation winding of the superconducting phase modifier, obtaining a current error through difference, determining an output mode through a fuzzy controller, and switching a circuit. The fuzzy controller includes a fuzzy data set and a fuzzy rule set. The fuzzy data set includes a plurality of range intervals, and a partially overlapping interval is arranged between adjacent range intervals. The union of each fuzzy subset is a maximum error limit of the current error. The fuzzy rule set includes a plurality of judgment rules. The judgment rules determine the output mode according to whether the value of the current error falls within the detection value of the corresponding range interval. Through the "soft" decision of the fuzzy logic, the mode is prevented from being frequently switched due to small error fluctuations, the switching loss of the power device is significantly reduced, and the system reliability and service life are improved.

The invention provides an RS (Reed-Solomon) code parameter blind identification method based on binary field check matrix matching. The method comprises the following steps: S1, constructing a check matrix library according to the property of an RS code; s2, intercepting a binary code stream, constructing the intercepted binary code stream into a first interception matrix, extracting a first candidate check matrix with the maximum first check matching degree from the check matrix library, and determining an estimated symbolic number, a primitive polynomial and a synchronization moment of the RS code according to the first candidate matrix; s3, constructing the intercepted binary code stream into a second intercepted matrix, and taking the maximum error correction capability, corresponding to a second candidate check matrix extracted from the check matrix library, of which the second check matching degree is greater than the threshold value as the estimated error correction capability of the RS code; and S4, identifying a generator polynomial of the RS code according to the estimated symbol number, the synchronization moment, the primitive polynomial and the estimated error correction capability of the RS code. According to the invention, the problems of large calculation amount and low fault-tolerant capability of an RS code parameter blind identification algorithm in the prior art are solved.

The application belongs to the technical field of structure optimization design, and discloses a microstructure proxy model establishing method, application and equipment, which comprises the following steps: (1) constructing a sample point database and then constructing an initial proxy model; (2) selecting each sample point in the sample point database in turn by using an orthogonal least square method and calculating the error caused by each sample point, then selecting the sample point corresponding to the maximum error as the first sample point of the final proxy model; (3) selecting the remaining sample points in turn, making the feature vectors of the sample points orthogonal to the feature vectors of the selected sample points, calculating the error caused by the sample points, then selecting the sample point corresponding to the maximum error in this round as the next sample point, and repeating the selection until the sum of the errors of the sample points of the final proxy model is greater than or equal to a threshold value; (4) constructing the final proxy model based on the sample points of the final proxy model and the corresponding weights. The application shortens the solving time.

According to the function waveform generation method and system based on expression compilation and adaptive segmented sampling, the combination of an upper computer, an ARM, an FPGA and a DAC is adopted, and the upper computer inputs a segmented function set and parameters; the ARM processor executes expression compilation and completes segmentation coverage degree and continuity verification; in each section, according to second-order difference curvature approximation, under the constraint of an error upper limit epsilon, adaptively determining a step length for sampling, then performing uniform resampling at a global equidistant position, and performing linear calibration and quantization according to y '= alphay + beta to generate a waveform lookup table; a DDS in the FPGA calculates a frequency control word FCW and a phase control word POW according to a work clock and a target frequency, a phase accumulator looks up a table to output a digital waveform, and finally the digital waveform is converted into an analog signal by a DAC. According to the scheme, the maximum error of the amplitude is controlled, meanwhile, the sample point and table scale is remarkably reduced, the bandwidth is reduced, the frequency and the phase are independently adjustable, and the expression ability and the freedom degree of waveform generation are greatly improved through a segmented expression.

The invention discloses a channel noise distribution probability classification sorting and guess decoding complexity limit calculation method and system, and the method comprises the steps: S1, obtaining a binary channel noise sample sequence through a receiving end, and carrying out the classification sorting of the channel noise distribution probability and the guess decoding complexity limit calculation; calculating a noise parameter of each sample sequence; s2, calculating distribution probabilities corresponding to channel noise samples according to the calculated noise parameters of each sample sequence, and sorting the distribution probabilities from large to small; and S3, calculating the limit of the guess decoding complexity according to the sorted distribution probability and the preset maximum error correction capability. According to the invention, the decoding complexity is reduced, the consumption of computing resources is optimized, and the decoding process is more efficient. Therefore, more possible error modes are sequenced preferentially, and the success rate of error correction is improved.

Provided are an RS code decoding method and device. In the present application, a concomitant formula is determined according to a code word to be decoded, the code word being an RS encoded code word (S301); an error position polynomial and a minimum length satisfying a key equation are determined according to the concomitant formula (S302); if the minimum length satisfying the key equation is greater than a maximum error correction capability of the RS encoding (S303), an uncorrectable error is detected, and decoding of the code word is abandoned, otherwise, an error position is determined according to the error position polynomial; if the number of the determined error positions is not equal to the minimum length satisfying the key equation (S305), an uncorrectable error is detected, and decoding of the code word is abandoned, otherwise, the code word is corrected according to the error positions, and a decoding result of the code word is obtained (S307). The present application can detect uncorrectable errors, thereby improving system performance and reliability.

The invention discloses a sampling test method and device for a flash memory chip and a medium. The method comprises the steps that the maximum error bit number of the unit code length of the flash memory chip and the maximum page error rate are determined; dividing the blocks into a plurality of same areas; for each area of all the blocks, sorting the unit code length error bit numbers from large to small, selecting the unit code length error bit numbers of a first proportion, and recording a page set where the unit code length error bit numbers are located; for the same area of all the blocks, selecting the page with the occurrence frequency exceeding a first threshold value; combining all the areas to obtain a block test page address combination; performing erasing, writing and reading operations on the block test page address combination of all blocks of the flash memory chip to obtain the maximum error bit number of unit code length and the maximum page error rate; and if the absolute value of the front and back difference values is within the preset threshold value, testing the flash memory chips of the same specification and batch by using the block test page address combination. According to the invention, the test time and cost can be effectively reduced while the test result is ensured to be reliable.

The invention discloses a workpiece contour grinding evaluation method and system based on two-dimensional vision. The method comprises the following steps that a camera is calibrated; according to the section where the maximum error point is located, the to-be-detected workpiece and the theoretical workpiece are rotated forwards and backwards through a mechanical arm, and pictures are collected; the positive group comprises images of the rotated to-be-measured workpiece and the theoretical workpiece, and preprocessing and contour extraction are carried out on contour lines of the workpieces in the two images to obtain a total contour point set of the to-be-measured workpiece and the theoretical workpiece; obtaining the distance Dt between the maximum error point of the image of the to-be-measured workpiece and the gravity center and the distance Ds between the maximum error point of the image of the to-be-measured workpiece and the gravity center after rotation; if Dt is larger than Ds, it is indicated that the to-be-detected workpiece is not ground in place on the half side A, and otherwise, it is indicated that the corresponding side of the to-be-detected workpiece is excessively ground. By accurately evaluating the grinding conditions of the two sides of the to-be-detected workpiece, potential damage to the workpiece caused by wrong machining is prevented.

A calculation method, device, equipment and medium for the thermocouple or thermal resistance graduation number provided by the present application increase an upper limit value to the starting temperature value; calculate the electromotive force values / resistance values corresponding to each of the starting temperature values and the upper limit temperature value respectively, and obtain a linear equation according to the two-point method; divide within the temperature range to obtain grouped temperature values, and obtain grouped error values; compare the grouped error values with a preset maximum error value to determine the final temperature range. The present application occupies less Flash and can accurately reflect the corresponding relationship between temperature-resistance value or temperature-electromotive force; reduces the calculation time of the single-chip microcomputer and does not have a deadlock phenomenon; can control the size of the temperature-resistance value or temperature-electromotive force error to meet the error precision requirements of different needs; by programming this method into a program, one-key operation can be realized, only some parameters need to be set, and the new graduation number and the error compared with the standard graduation number will be automatically obtained.

The present invention seeks to protect a method for maximizing the sum rate of a non-orthogonal multiple access (NOMA) drone communication system under uncertain user positions, comprising: initializing the maximum number of iterations and the maximum error factor, user power allocation, drone position, binary decoding order initial value, and user rate; according to the given initial values, calculating the user rate, user allocation power, drone position, and binary decoding order through an inner layer iterative algorithm; if the user rate meets the judgment condition of error accuracy, outputting the user rate and entering the outer layer algorithm; otherwise, iteratively updating the user allocation power, drone position, binary decoding order initial value, and user rate. In the outer layer algorithm, it is determined whether the auxiliary variable meets the error factor; if so, iteratively updating the penalty parameter; otherwise, updating the number of iterations; finally, it is determined whether the number of iterations meets the maximum number of iterations; if so, outputting the system sum rate; otherwise, entering the inner layer algorithm and using the solved value as the initial value for the next iterative update.

The invention relates to a method for realizing servo and system linkage debugging in a numerical control system. The method comprises the following steps: inputting linkage debugging parameters to the numerical control system; the driver parameters of all the feed shafts are automatically set to be in a load characteristic learning mode, the feed shafts are controlled to execute preset reciprocating motion, and the inertia ratios of the shafts are obtained; automatically setting a standard mode, and setting an initial rigidity value; performing linkage circle drawing motion with the other feeding shafts in sequence; fitting an actual motion trail circle according to feedback data of the encoder, and calculating to obtain a whole circle error; and judging whether the whole circle error is smaller than or equal to the maximum linkage error value, and if so, completing linkage debugging. By the adoption of the method and device for achieving servo and system linkage debugging in the numerical control system, the processor and the computer readable storage medium of the processor, servo debugging can be conducted under the condition that manual intervention is not needed, linkage errors of all shafts can be automatically optimized, and guarantee is provided for the machining precision of a machine tool.

The present invention discloses a calibration method for a neonatal scale. The method comprises the following steps: determining the maximum error H of a weighing sampling circuit through a two-point calibration experiment; determining the minimum number of calibration segments based on the ratio of the maximum error H to the standard accuracy G of the neonatal scale; and selecting the optimal number n of calibration segments. The measuring range of the neonatal scale is divided into n segments, and the nominal weight increments at adjacent calibration points are ensured to be equal. The slope of each calibration segment is determined by recording the sampling values of the weighing sampling circuit at the zero point and each calibration point. The advantage of the present invention is that the scale is calibrated using a multi-segment calibration method, and the calibration points use standard theoretical values instead of measured sampling values, effectively reducing the maximum value of possible system error accumulation, avoiding the use of hardware for linear compensation of the sensor, and having a high cost-effectiveness ratio.

The application provides a mechanical arm control method, system and storage medium, and relates to the technical field of mechanical control.The method comprises the following steps: acquiring a steady-state error of a joint of a mechanical arm when the joint is at rest; judging whether the steady-state error is greater than a maximum error threshold; if yes, adjusting a target position of the joint within a preset time period after the joint starts moving according to the steady-state error and a fixed variable of the joint in each movement cycle; and controlling the movement of the mechanical arm according to the target position of the joint within the preset time period and the fixed variable of the joint in each movement cycle.The application selects a motion planning scheme according to the size of the steady-state error, thereby effectively avoiding the shaking phenomenon of the mechanical arm, making the joint more flexible when moving, adapting to different situations, reducing the risk of shaking, and improving the safety and accuracy of the movement of the mechanical arm.

The invention provides a Huber loss function configuration method for a deep learning model, and the method comprises the steps: collecting an error between the model output of a current batch of samples in a current iteration round and a real label in a training process of the deep learning model, and forming an absolute error set; the absolute error set and the historical error set are combined, the last K elements of the combined set are obtained, a current window error cache is formed, and K is a positive integer; determining the median of the current window error cache; determining a target hyper-parameter according to the historical hyper-parameter and the median; and updating a Huber loss function according to the current hyper-parameter, and carrying out training based on a next batch of samples. According to the method, the typical value of the error distribution is captured through the median of the sliding window, and the error distribution change is quickly responded based on the typical value, so that the dynamic adaptation of the hyper-parameter is realized, the outlier interference is avoided, the anti-abnormal value robustness is realized, the prediction precision of the traditional Huber is effectively improved, and the maximum error is reduced.

This invention relates to a method for reducing the peak-to-average power ratio (PAPR) of an OFDM system. It involves extending reserved subcarriers to the data subcarrier frequency band, constraining the maximum error vector of the system, and reducing the PAPR. The method includes: first, establishing an primal optimization problem with the OFDM signal PAPR as the objective function and the maximum error vector on the data subcarriers and the power of the reserved subcarriers as constraints; second, decomposing the primal problem into three subproblems using the ADMM algorithm, alternately solving each subproblem and iterating repeatedly until the globally optimal solution is obtained. Compared with existing technologies, this invention has advantages such as avoiding excessive interference that leads to an increase in the system's bit error rate and achieving better PAPR reduction.

The invention belongs to the technical field of wheaten food processing, and particularly relates to an improved tabletting device for noodle production, the improved tabletting device comprises a tool frame, a noodle stripping unit is arranged on the end face of the tool frame, and a correction unit is arranged outside the noodle stripping unit; according to the invention, through dislocation movement between the end ring and the angle steel ring, the angle arc plate is promoted to generate different degrees of mutual limitation between the same end face column at different angles, and meanwhile, through the linkage plate, movement synchronism between the angle steel ring and the angle rod is coordinated, and the radial run-out maximum inclination angle is dynamically detected in real time at multiple angles; the forward relativity between the axis of the intersecting ring and the radial run-out axis is always ensured, the maximum radial run-out error is directionally eliminated, the radial couple is dynamically balanced, meanwhile, clamping is carried out in the radial run-out maximum error direction through the intersecting rings which are distributed in the forward opposite direction, namely, the omnidirectional suppression error is replaced by the directional constraint error peak value, and the maximum radial run-out error is restrained. And double optimization of the dough pressing precision and the service life of equipment is realized.

A system and method for an estimation of error bounds for file size calculations using MinHash in deduplication systems. The system includes one or more processors to determine a similarity score between the first file and the second file. The one or more processors are further to determine a size estimation of a combination of the first and second files based on the similarity score. Finally, the one or more processors are to determine a maximum error for the size estimation of the combination of the first and second files, wherein the first and second file are to be combined via deduplication and have at least one shared data segment.

Provided in an embodiment of the present application are a timing advance value determination method and device, the method comprising: a terminal device receiving first indication information sent by a network device, the first indication information being used for indicating a maximum error value corresponding to the terminal device; the terminal device determines a first updating period according to the maximum error value and also determines a second updating period, and the second updating period is a period in which the terminal device periodically obtains the position of the terminal device. And if the second update period is greater than or equal to the first update period, the terminal device periodically acquires first position information of the terminal device according to the first update period, and determines a first timing advance value based on the first position information. In the method, the error value of the first position information acquired by the terminal equipment meets the requirement of the maximum error value, so that the accuracy of the acquired first position information can be ensured, and the accuracy of the calculated first TA value is further ensured.

The application discloses a waveform envelope-based ultrasonic time-of-flight correction method, comprising the following steps: in a reference state, obtaining threshold comparison-based ultrasonic time-of-flight t t0 and waveform envelope-based ultrasonic time-of-flight t b0 ; calculating the relative deviation Δt bt0 and the corresponding maximum error between t b0 and t t0 ; in a working condition, obtaining threshold comparison-based ultrasonic time-of-flight t t and waveform envelope-based ultrasonic time-of-flight t b ; calculating the relative deviation Δt bt and the corresponding maximum error between t b and t t ; obtaining the relative deviation t e and the corresponding maximum error between the deviation value Δt bt in the working condition and the deviation value Δt bt0 in the reference state; calculating Δt=Δt bt -Δt bt0 -t e , and correcting the measurement value t t according to three conditions. The application can solve the problem of large deviation of threshold comparison time caused by feature wave recognition error, and is helpful for a flowmeter system to realize reliable measurement of gas flow.