24 results about "Maximum error" patented technology

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.

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.

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 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 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.

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 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.

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.

The application discloses a kind of spiral conveyer selection method, including step obtaining demand information;According to the maximum error formula, the diameter of spiral conveyer and the relationship of the half cone angle of spiral are calculated;The above relationship is brought into the conveying capacity formula of spiral conveyer, and the rotational speed range of spiral conveyer is solved;According to the rotational speed range of spiral conveyer and the diameter relationship of spiral conveyer, the optimal rotational speed and diameter are found in database;On the basis of conventional conveying capacity calculation, the two important parameters of error and cost are creatively introduced, wherein the cost is determined by the diameter and rotation of spiral conveyer. Through this improvement, the application can obtain the optimal design scheme which is both economical and meets the conveying error requirement by one-time calculation;Not only the design efficiency of spiral conveyer is improved, but also its economy and practicability are optimized.

The invention discloses a cylinder axis element error model and a solving method under a multi-tolerance coupling effect, and the method comprises the steps: 1, describing the geometric element error of a part through the tiny variation of six degrees of freedom; 2, constructing a rectangular coordinate system by taking the center of the rational cylinder as an original point; 3, according to the technical specification, the intersecting line of the straightness tolerance domain and the plane YOZ is a parallel straight line with the interval being TF. 4, the coaxiality not only locks the directions of the geometric elements, but also limits the positions of the geometric elements; the perpendicularity only locks the direction; 5, substituting the variation inequality and the constraint inequality of each error component of the upper and lower boundaries of the straightness tolerance to determine the variation range and the constraint inequality range of each error component; and 6, simulating and sampling error component groups of the upper and lower boundaries by combining the error component probability distribution model. According to the method, whether the error under the design tolerance coupling effect exceeds the required maximum error or not can be accurately verified, the correctness of the design precision grade is verified, and the unnecessary manufacturing cost is reduced.

The present invention discloses a method for designing the arch rib axis of an arch bridge, belonging to the technical field of bridge engineering. The method includes establishing a coordinate system based on the arch bridge and dividing the half-span arch rib into multiple nodes to obtain a multi-order transformation matrix; calculating the load concentration per meter of the arch rib and calculating the coefficient of the load concentration per meter of the arch rib expressed as a polynomial function and the horizontal component of the axial pressure of the arch rib cross section through the multi-order transformation matrix; calculating the coefficient of the arch rib axis expressed as a polynomial function to obtain the arch rib axis function; combining the arch rib axis function with the first arch rib self-weight load concentration per meter and correcting it according to the arch rib arc length concentration per meter to obtain the second arch rib self-weight load concentration per meter; calculating the maximum error between the first arch rib self-weight load concentration per meter and the second arch rib self-weight load concentration per meter, and determining whether the arch rib axis function is a reasonable arch rib axis. The method provided by the present invention is convenient for engineering application and is suitable for reasonable arch rib axis design of arch bridges.

The invention discloses a floating point expression error detection method based on hierarchical search and inter-partition analysis, and belongs to the technical field of computer operation. The method includes the following steps that firstly, a floating point expression input by a user generates a high-precision version code, an input field is converted into a half-precision layer, whether high-error points exist or not is judged by traversing the half-precision layer, if the high-error points exist, a three-layer search strategy is carried out, if not, a coarse screening-fine screening search strategy is carried out, and if yes, the input field is converted into a high-precision version code; and finally, outputting the maximum error and the corresponding input of the floating point expression in the detection interval. According to the detection method, whether a high error point exists or not is analyzed by traversing a semi-precision layer, and a ULP-APSO algorithm is designed to help the algorithm jump out of a local optimal solution; the floating point error can become more and more accurate along with the increase of the input precision, error detection is performed on the expression by using three-layer search from half precision to double precision and partition analysis from single precision to double precision, and the test result shows that the detection method is more accurate and effective.

The present invention relates to the field of automatic control technology, and discloses a control method, device, equipment, and storage medium for an AGV following a mainline device. The method includes: calculating the actual error distance of the AGV relative to the mainline device based on reference point data of the current sampling cycle and the previous sampling cycle; calculating the maximum error distance of the AGV relative to the mainline device based on the maximum speed difference of the AGV relative to the mainline device and a preset maximum error consumption time; calculating the speed change of the AGV relative to the mainline device using the actual error distance and the maximum error distance; calculating the following speed based on the initial speed of the AGV and its speed change relative to the mainline device, and controlling the AGV to follow the mainline device according to the calculated following speed. The present invention improves the timeliness and stability of the process of the AGV following the mainline device by actively obtaining reference point data on the mainline device, calculating and controlling the AGV to follow the mainline device.