40 results about "Gaussian elimination" patented technology

The invention discloses a laser radar-camera fusion calibration method and system, and belongs to the field of calibration. According to the method, after a target is shot through a laser radar and a camera, multiple pairs of corresponding three-dimensional point clouds and two-dimensional images are obtained; angular point coordinates in the phase unwrapped image are obtained through the phase unwrapped image and the two-dimensional real image, three-dimensional angular point coordinates in the three-dimensional point cloud are further obtained, the two-dimensional angular point coordinates and the three-dimensional angular point coordinates are input into an external parameter calibration program of the laser radar and the camera, a rigid matrix between two sensor coordinate systems is obtained, and calibration is completed. According to the method, a fast inversion method of angular points on a phase unwrapped graph based on a Gaussian elimination method is designed, a calculation strategy of laser radar point cloud-phase unwrapped graph-angular point detection-angular point three-dimensional coordinates is provided, after three-dimensional point cloud and two-dimensional images of a target are collected, data can be imported into a calibration program for automatic calculation, and the accuracy of calibration is improved. The method has the advantages of less human intervention, high automation degree, fast operation and high efficiency.

The invention provides an efficient privacy set intersection method and device based on bucket coding, and the method comprises the steps: obtaining an input set and a target value set, the input set comprises a private set of a sender and a private set of a receiver, and the target value set is generated based on the private set of the receiver; encoding the private set of the receiver into a sparse matrix composed of a plurality of buckets through a hash function; determining a linear system of the sparse matrix; performing ascending sorting and re-labeling on the linear system according to the initial bit position set to obtain a target linear system; according to a bucket-based Gaussian elimination algorithm, based on a target linear system, through exclusive-or operation, determining oblivious key value pairs for storage; an intersection of the private set of the sender and the private set of the receiver is determined based on the oblivious key-value pair storage according to an oblivious linear evaluation protocol. According to the invention, communication resources required by privacy set intersection in an actual production environment can be further reduced.

The invention discloses a method and device for compensating the dispensing height through curved surface fitting. The method comprises the steps that three-dimensional coordinate point information of a plurality of discrete sampling points on the surface of a to-be-dispensed target is collected; building a polynomial of a curved surface model for compensating dispensing according to the number of the sampling points; constructing a matrix, and constructing a linear equation set based on the primary function; and the weight coefficient of the linear equation set is solved through a Gaussian elimination method, a fitted quadric surface equation after interpolation calculation is obtained, and the dispensing height is compensated based on the quadric surface equation. According to the method, the polynomial is fitted through the three-dimensional coordinate point information, the linear equation set is constructed, the predicted compensation value is obtained after interpolation calculation is carried out according to the fitting result so as to compensate the dispensing height, the high-precision continuous curved surface model can be constructed by collecting discrete sampling points, real-time interpolation calculation of any coordinate is supported, and the precision of the dispensing height is improved. The method can solve the problem of insufficient fitting precision of dispensing height compensation based on a single plane.

The invention relates to the technical field of pet food spectrum detection, and discloses a pet food spectrum detection device and a detection method. Sampling at equal intervals in a preset wavelength range, and eliminating noise interference through dark current and standard whiteboard calibration; taking a natural logarithm of the reflectivity to balance a dynamic range; constructing a linear spline basis in an equidistant and segmented manner, and adaptively calculating a regularization coefficient according to the energy ratio of the signal to the basis function; constructing an augmented matrix according to a basis function and a signal inner product, and solving a spline coefficient through Gaussian elimination; reconstructing a spectrum by using the coefficient and quantifying a residual error; establishing a reference model based on the coefficient mean value and the standard deviation of the multiple qualified samples; comparing the Euclidean distance between the to-be-detected sample coefficient and the model mean value with a threshold value, and generating a residual error, a distance, a threshold value and a judgment report; empirical parameters or manual adjustment and optimization are not needed in the whole process, online adaptive detection in batches can be achieved, and noise correction, feature enhancement, over-fitting suppression and traceable rapid and accurate detection are achieved.

The invention belongs to the technical field of computers, and particularly discloses a distributed storage and hierarchical storage mechanism-based data storage method, which comprises the following steps of: receiving a data access request for requesting a target data object; under the condition that the space of the cache pool is full and the target data object is not stored in the cache pool, based on a Gaussian elimination center and a Gaussian elimination factor of the target data object, managing the data objects in the cache pool according to a mode that the data object, farthest from the Gaussian elimination center, of the Gaussian elimination factor is firstly eliminated; wherein in the statistical analysis of the data access, the Gaussian elimination factor of the data object conforms to Gaussian distribution, the Gaussian elimination factor is used for representing the feature of a specified dimension of the data object, and the Gaussian elimination center is the mean value of the Gaussian distribution conforming to the Gaussian elimination factor of the data object. Through the cache elimination algorithm based on the Gaussian distribution morphological characteristics provided by the invention, the cache hit rate can be effectively improved.

The application discloses an OSD decoding method and system based on parallel Gaussian elimination, a terminal and a storage medium. The method comprises the following steps: obtaining a communication decoding task, obtaining an original matrix to be processed and corresponding received symbols according to the communication decoding task, performing Gaussian elimination on the original matrix according to the received symbols to obtain a first matrix and corresponding first received symbols, performing bit flipping on the first received symbols to obtain target received symbols, performing re-encoding on the target received symbols and the first matrix to obtain a plurality of re-encoding results, and performing screening on all the re-encoding results to obtain a decoding result. Each processing unit in the application adopts binary field operation and does not perform approximate processing. The matrix array and the corresponding received symbols are processed in sequence, and only addition and subtraction operations in the same column are involved, so that parallel Gaussian elimination operation is realized, and the decoding efficiency is improved.

The invention relates to a bottom-up virtual power plant resource configuration-decomposition method and device.The method comprises the steps that firstly, technical characteristics of distributed resources configured by a virtual power plant are constructed into a unified constraint form, and a polyhedral model of port power is constructed through a Gaussian elimination method; secondly, a bilevel programming model based on feasible region affine transformation is constructed, the upper layer meets the power grid adjustment requirement and meanwhile minimizes the resource allocation number, the lower layer carries out scaling and translation transformation of a single distributed resource feasible region, and a single distributed resource feasible region is obtained based on a preset Taylor expansion relaxation strategy, a KKT condition and a convex envelope relaxation strategy; and the model is reconstructed into a linear programming model, so that a decomposition configuration decomposition scheme is obtained while the solving speed is increased, and the flexibility requirement of the power grid is met. Therefore, the problems that in the prior art, the utilization rate of the resource adjusting capacity is low, the collaboration problem of different time sequences is neglected, and consequently the instruction cannot be effectively executed are solved.

The present invention discloses a quantum forgery attack method for the POEM structure, including the following steps: setting a tag generation formula, substituting the tag generation formula into two different d values to generate two tags; jointly XORing the two tags to generate a first function; setting a 2n-bit quantum state, applying a transformation to the first n qubits of the 2n-bit quantum state to obtain a quantum superposition; inputting the quantum superposition into the first function to obtain a first state, and performing a transformation on the first n qubits to obtain a second state; substituting all qubits into a function for measurement, performing multiple experiments on this quantum circuit to obtain n different states, and using Gaussian elimination to obtain a first period; calculating a secret parameter according to the first period, obtaining an input using the secret parameter, constructing a second function using the input and the tag generation formula to obtain a second period, and setting the second period as a first key; obtaining a second key, forging ciphertexts and tags of arbitrary messages according to the key, and sending them to the sender.

This invention relates to the field of pet food spectral detection technology, and discloses a pet food spectral detection device and method. The method involves sampling at equal intervals within a preset wavelength range, eliminating noise interference through dark current and standard white plate calibration; taking the natural logarithm of reflectance to balance the dynamic range; constructing a linear spline basis at equal intervals, and adaptively calculating the regularization coefficient based on the energy ratio of the signal and basis functions; constructing an augmented matrix based on the inner product of the basis functions and the signal, and solving for the spline coefficients using Gaussian elimination; reconstructing the spectrum using the coefficients and quantifying the residuals; establishing a reference model based on the mean and standard deviation of multiple qualified sample coefficients; comparing the Euclidean distance between the coefficients of the sample to be tested and the model mean with a threshold, and generating residuals, distances, thresholds, and a judgment report; the entire process requires no empirical parameters or manual tuning, enabling batch online adaptive detection, achieving rapid and accurate detection with noise correction, feature enhancement, overfitting suppression, and traceability.

This invention discloses a method for analyzing the horizontal stress performance of pile foundations in layered transversely isotropic foundations, belonging to the field of pile foundation design and analysis in geotechnical engineering. The method includes: establishing a theoretical model of the pile-soil system, treating the foundation as a multi-layered transversely isotropic material and the piles as Bernoulli-Euler beams; establishing the pile stress-displacement equation based on the finite difference method; establishing the soil stress-displacement equation based on the fundamental solution of the multi-layered transversely isotropic material; constructing the overall stress-displacement equation for a single pile; introducing pile-pile interaction coefficients to extend the single-pile model to pile group analysis; solving the equation system using the full principal component Gaussian elimination method and writing a FORTRAN program for automated calculation; verifying the correctness of the method through numerical examples and conducting parametric analysis. This invention is applicable to the horizontal stress analysis of single piles and pile groups in non-uniform, transversely isotropic foundations of any number of layers, providing a reliable numerical tool for pile foundation engineering design and safety assessment under complex geological conditions.

The present invention discloses an optimization method and system for calculating electricity quantity in the spot trading market. The method includes: inputting the bidding electricity quantity and electricity price of all bidding power plants in each province into a pre-constructed intra-provincial bidding model, and using an improved simplex method to calculate the intra-provincial bidding model to obtain the surplus and deficit electricity quantities in each province; inputting the surplus and deficit electricity quantities in each province and the bidding curves of each province into a pre-constructed inter-provincial bidding model, and using an improved simplex method to calculate the inter-provincial bidding model to obtain the trading electricity quantities between provinces; the improved simplex method is when calculating the basic credible solution using pivot calculation, making the column where the entering variable is located the pivot column, the row where the leaving variable is located the pivot row, and using Gaussian elimination method to perform pivot elimination operation. The present invention simplifies the calculation process, ensures the calculation accuracy, and avoids the problem of reducing economic losses caused by precision errors.

The present invention discloses a time-varying gravity field model inversion method, system, electronic equipment and medium, and relates to the field of gravity field inversion. The method comprises acquiring satellite gravity observation data; inverting the satellite gravity observation data according to the time-varying gravity field model, constructing an orbit observation equation and a corresponding satellite spacing rate variation observation equation for each arc segment with an integration time of one day as an arc segment; inverting the orbit observation equation and the corresponding satellite spacing rate variation observation equation according to the time-varying gravity field model of each arc segment, and obtaining a normal equation for each arc segment by using a weighted least squares method; performing Gaussian elimination on the normal equation of each arc segment to obtain a time-varying gravity field model potential coefficient. The present invention suppresses high-frequency mass change noise in the time-varying gravity field inversion process, and improves the accuracy of the inverted time-varying gravity field model.

The application discloses a kind of gas boiler main steam temperature self-disturbance decoupling control methods, comprising: signal detection device measures various signal data involved in the present application, then data is processed;Using the data after processing, the system model of double-input double-output is established, and the system model is identified;The system model after identification is decoupled, and the system is decoupled into two single-input single-output systems;For system, design linear self-disturbance controller to realize boiler main steam temperature stable control;Firefly algorithm is used to optimize linear self-disturbance controller parameter, and the control quality of main steam temperature control system is improved, the present application is aimed at the problems, such as nonlinearity, multiple disturbance and the like existing in the process of gas power generation boiler main steam temperature control, adopts the control strategy that linear self-disturbance control and decoupling control are combined, and the mutual coupling action between furnace gas flow and low-temperature superheater, desuperheating water flow and high-temperature superheater outlet temperature is decoupled and eliminated using Gauss elimination method.

The present invention provides an encoding and decoding method for the distributed multi - user key sharing problem under strong privacy conditions. The method includes the following steps: Step 1: Initialize an N×(∑ k∈[K] R k +N) generating matrix V according to the access structure and the key information rate array; Step 2: Obtain the corresponding K(K - 1) row index sets according to the access structure and the key information rate array, and extract K sub - matrices from the generating matrix V by these sets. The strong privacy condition is equivalent to the full rank of each sub - matrix; Step 3: Calculate the determinants according to each sub - matrix, multiply them to obtain a polynomial, find a set of feasible solutions that make the polynomial not equal to 0, then set the remaining variables in the generating matrix V to 0, then extract the decoding method from the generating matrix V, and finally perform Gaussian elimination on the generating matrix V to obtain the encoding method. The method of the present invention can be applied to any access structure and can achieve the optimal key information rate.

To provide a safety evaluation device that evaluates safety of code encryption more strictly.SOLUTION: A safety evaluation device 1 comprises: an input part 11 for receiving an input of a parameter set of an SD problem, and an upper limit of a space calculation amount; an initial processing part 12 for creating an aggregate of valid parameter sets, with respect to a Revisited MMT method; a space calculation amount estimation part 13 for calculating a space calculation amount required for storing input data, and a list for constituting solution candidates; a time calculation amount estimation part 14 for summing up a calculation time required for executing Gaussian elimination, and a calculation time required for constituting and merging a list, and multiplying the sum by an expectation loop frequency based on a correct answer probability, to calculate a time calculation amount; a condition determination part 15 for determining whether or not a space calculation amount exceeds the upper limit; and an output part 16 for outputting the minimum time calculation amount together with a parameter set that minimizes the time calculation amount, out of the aggregate, by excluding an element of which the space calculation amount has been determined to exceed the upper limit.SELECTED DRAWING: Figure 1

This application provides a Gaussian elimination method and apparatus with look-ahead operation, comprising: acquiring a first input vector and a second input vector for inputting a target double-column elimination unit within one clock cycle; when the target double-column elimination unit is a first-level double-column elimination unit, the two input vectors are read from the generator matrix; when the target double-column elimination unit is a subsequent-level double-column elimination unit, the two input vectors are the output of the previous-level double-column elimination unit; calculating candidate vectors based on the two input vectors according to the current initialization state of the target double-column elimination unit; determining the output of the target double-column elimination unit based on the first input vector, the second input vector, and / or the candidate vectors according to the current initialization state of the target double-column elimination unit, and updating the initialization state of the target double-column elimination unit. This method enables the processing of two columns of data from the generator matrix using a double-column elimination unit within one clock cycle, reducing processing time and resource consumption, and improving processing efficiency.

The present invention discloses a quantum forgery attack method, device and storage medium for OTR structure, which relates to the technical fields of quantum computing and quantum security, and includes the following steps: setting a plaintext block division rule, and using the plaintext blocks to calculate a tag generation formula; encrypting the plaintext blocks into ciphertexts, substituting the ciphertexts into the tag generation formula, and generating a function according to the tag generation formula after substituting the ciphertexts; setting a 2n-bit quantum state, applying a Hadamard transform to the first n qubits of the 2n-bit quantum state to obtain a quantum superposition; substituting the quantum superposition into the generated function to obtain a first state, and applying a Hadamard transform to the first n qubits to obtain a second state; substituting all qubits into the function for measurement, performing multiple experiments on this quantum circuit to obtain n different states, obtaining a period by using Gaussian elimination according to the inner product of the obtained states and the period being 0; forging ciphertexts according to the obtained period.

The application discloses an encoding method and device for NAND flash memory, comprising the following steps: adopting a preset prime power, a preset primitive element and a finite field base matrix to construct a displacement value matrix; expanding a preset local base matrix based on the matrix row and column data of the preset matrix row and column serial number bit in the displacement value matrix to determine a local sparse check matrix and a local unit matrix; adopting the local sparse check matrix, the local unit matrix and a preset all-zero matrix to construct a target local matrix; expanding a preset global base matrix to determine a global sparse check matrix; adopting the global sparse check matrix and a preset unit matrix to construct a target global matrix; and generating a target code according to the information bit matrix of a to-be-encoded code word, the target global matrix and the target local matrix. The application solves the technical problem that the existing GC-LDPC encoding and decoding technology for NAND flash memory needs to adopt a traditional Gaussian elimination method for encoding, which leads to extremely high encoding complexity.

The invention discloses a CRC parameter estimation method and system and a related device, and relates to the field of unmanned aerial vehicle countermeasure, and the method comprises the steps: obtaining transmission data in a communication process of an unmanned aerial vehicle, and converting the transmission data into a CRC code word matrix; the CRC code word matrix is simplified through Gaussian elimination, and a CRC code word generation matrix is obtained; converting the last line in the CRC code word generation matrix into an estimation generator polynomial; determining the total number of candidate initial values according to the highest number of times of the estimation generator polynomial, traversing the plurality of candidate initial values, and generating a CRC estimation code by each candidate initial value according to the estimation generator polynomial and the original data; and if the CRC estimation code is the same as the CRC code of the transmission data, determining a candidate initial value corresponding to the CRC estimation code as an estimation initial value, and taking the estimation initial value as an initial value of the CRC register. According to the method, the generator polynomial and the agreed initial value in the communication process of the unmanned aerial vehicle are estimated through the intercepted data, the control instruction of the unmanned aerial vehicle is constructed, and takeover control is achieved.

This invention discloses a high-speed satellite communication decoder and decoding method based on an ARM-FPGA hybrid architecture, belonging to the field of satellite communication technology. The invention employs an ARM-FPGA heterogeneous platform to achieve hardware and software collaboration. The software subsystem runs on the ARM and is responsible for packet loss detection and flow control; the hardware subsystem is a freely running decoding IP core on the FPGA, executing a real-time Gaussian elimination algorithm, and using a dual-half-table architecture multiplier and parallel computing module to accelerate Galois domain operations; high-speed data and configuration information interaction is achieved through the AXI4 bus. This decoder distributes latency, reducing the average decoding latency by 57.44%, and increasing throughput to more than twice that of traditional solutions, significantly improving the real-time performance and reliability of satellite communication.

This invention provides a phase identification method, system, and electricity consumption information acquisition device for electricity meters, comprising: acquiring a preset amount of electricity data in the current distribution area; setting up an electricity metering device and at least one electricity meter in the current distribution area; generating an electricity consumption matrix equation corresponding to the current distribution area based on the electricity data and a preset power supply relationship model; the power supply relationship model is used to indicate the correspondence between the power supply and electricity consumption in the current distribution area; and determining the phase information corresponding to each electricity meter based on a preset calculation method and the electricity consumption matrix equation. In this method, by constructing an electricity consumption matrix equation based on existing electricity data and solving the electricity consumption matrix equation using Gaussian elimination, the phase of the electricity meter can be acquired in existing low-voltage power distribution areas without adding hardware, thereby reducing the cost of phase information acquisition.

The application discloses a file transmission method based on link quality prediction and network coding, comprising the following steps: (1) collecting link quality parameter data sets in different environments, and training a link quality prediction model; (2) when a target node receives a file transmission request, an optimal path is selected from a complex network by using a greedy strategy, and coding coefficients in the network are initialized; (3) a source node splits a large file into multiple sub-files; (4) the source node and intermediate nodes perform network coding on the sub-files through the network coding coefficients, and transmit to a next hop node; (5) a target node adopts a Gaussian elimination method to perform data decoding; after receiving a sub-file, a link quality prediction model is used to perform real-time prediction on the link quality in the current environment, the network coding coefficients of a previous hop node are calculated according to the predicted link quality, and the previous hop node is returned to; the iteration steps (4) to (5) are returned until the whole file transmission is completed. The application has higher safety and better transmission performance.

The application provides an open set blind identification method suitable for multi-element LDPC code, which recovers the LDPC code check matrix by using soft decision information at the receiving end, and reconstructs the LDPC code channel encoder accordingly. The application firstly evaluates the bit reliability of each code word receiving sequence, sorts the code word receiving signal according to the bit reliability, and obtains hard decision bits, thereby obtaining hard decision symbols, and then applies the Gaussian elimination method to the matrix composed of the hard decision symbols of multiple groups of code words to find the check relationship contained among the code words. After completing one elimination, error code word elimination and replacement of the order of part of the code words are needed, thereby discovering more check relationships. Considering the case that the initial error code rate of the channel input is high, the application adopts the standard soft decision belief propagation QSPA decoding algorithm of the multi-element LDPC code in the identification process, effectively reduces the influence of the input error code rate, makes more check vectors be obtained in the new round of iterative identification, improves the fault tolerance of the algorithm, and thereby optimizes the blind identification performance.

The invention discloses a two-stage liquid rocket trajectory optimization method based on a Newton iteration method and a Gaussian elimination method, and relates to a trajectory optimization control method of a two-stage liquid commercial carrier rocket platform. In the two-stage liquid rocket trajectory optimization process, the maximum turning attack angle is obtained through a Newton iteration method according to an attack angle turning mode, and optimization design of a first-stage flight section is achieved. Taking the pitch program angular rate of the primary ignition working section, the pitch program angular rate of the taxiing flight section and the pitch program angular rate of the secondary ignition working section as three optimization parameters in the secondary flight section, and taking the local ballistic inclination angle, the flight speed and the geocentric vector diameter after secondary shutdown as optimization index values; optimal values of the three optimization parameters are obtained through a Gaussian elimination method, optimization design of the two-stage flight section is achieved, and therefore optimization solving of the trajectory parameters of the two-stage liquid rocket is rapidly completed.

The present invention provides a method and system for calculating the center of rotation of the femoral head. The method comprises: recording the spatial position data of multiple markers on the femoral head when the thigh is shaken; using a random sampling consensus algorithm to delete singular points in the spatial position data; using Gaussian elimination to fit the spatial position data to obtain the initial spherical center coordinates; calculating the average of the spherical center coordinates of all markers; using the average of the spherical centers as the initial value, using the Cauchy kernel function as the robust kernel function, and establishing a spherical equation based on the information of all tracking markers after deleting singular points, performing nonlinear iterative optimization, and obtaining the spherical center coordinates. The method and system for calculating the center of rotation of the femoral head provided by the present invention can accurately calculate the center of rotation of the femoral head, and is simple, convenient, and robust.

The invention discloses a clamp coupling multi-port measured device de-embedding measurement calibration method, which comprises the following steps of: S1, measuring an S parameter of a clamp and a whole measured device, recording the S parameter as S ', measuring the S parameter of the clamp after the measured device is removed, and splicing the S parameter and recording the S parameter as Sfix; s2, listing an equation set of fixture input and output by utilizing Sfix, extracting odd-numbered lines, solving by adopting a Gaussian elimination method, substituting the odd-numbered lines into even-numbered lines of the equation set to obtain a coefficient matrix of DUT input and output, and recording the coefficient matrix as M; and S3, obtaining an S parameter of the DUT by using the coefficient matrix M and S ', and recording the S parameter as SDUT. According to the method, coupling between the clamps is considered in the calculation process, and the actual situation is better met. The method has no requirement on the number of DUT ports, and is suitable for a multi-port network with any number of ports.

The present invention belongs to the technical field of firmware reverse analysis and security, and particularly relates to a method and device for parsing coprocessor firmware. The method includes: first, using Gaussian elimination method and heuristic method to construct a Huffman dictionary table used for recovering the compression algorithm of coprocessor firmware; then extracting the BIOS firmware from the target motherboard, automatically decompressing the BIOS firmware and extracting the coprocessor firmware therefrom as the firmware to be parsed; secondly, scanning the coprocessor firmware to obtain the firmware partition table, traversing the firmware partition table, and respectively extracting modules from the code type partition and the data type partition; finally, traversing all the extracted modules, decompressing according to the compression algorithms used by the modules respectively and storing the decompression results. Based on the method for constructing the Huffman dictionary table by Gaussian elimination method and heuristic method, the present invention realizes the decompression of coprocessor firmware modules, and finally completes the information extraction and parsing of coprocessor firmware.

The invention discloses a method and a system for simulating a broadband equivalent model. The method comprises the following steps: acquiring power grid parameters and a frequency range, calculating frequency domain characteristics of a core element, shrinking a network boundary through a Gaussian elimination method, and calculating a multi-port admittance matrix; fitting a multi-port admittance matrix, converting frequency domain characteristics into a time domain sequence through inverse fast Fourier transform, constructing a coefficient matrix, estimating a matrix rank based on singular value decomposition, and determining an optimal model order, namely a broadband equivalent model, by combining the number of real number poles; splitting the broadband equivalent model into a real number pole fraction sub-block, a constant term / first term sub-block and a plurality of pole fraction sub-blocks, performing passivity correction and verification on each fraction sub-block, and determining a corrected broadband equivalent model; and compressing the corrected broadband equivalent model, and splitting the broadband equivalent model into a plurality of sub-modules for parallel simulation.

The invention relates to the technical field of cryptosystem security evaluation, and provides an improved evaluation method and system for an information set decoding algorithm, and the method comprises the steps: firstly obtaining an SDP problem parameter and an optimization parameter of a to-be-evaluated algorithm, and estimating a search space and an expected number of iterations through a combination number formula; calculating the time overhead for performing Gaussian elimination on the check matrix H in each round; evaluating the complexity of constructing the search tree according to the number of layers of the search tree and the size of the set; a matching probability model is constructed, the reciprocal of the matching probability model is taken, and the expected number of times of finding a correct error vector is estimated; the overall time complexity of an information set decoding algorithm for solving an SDP problem under current parameter configuration is obtained by comprehensively processing the complexity, Gaussian elimination time, search tree construction complexity and expected matching times, and a more accurate complexity analysis means is given through fine modeling and a probability backstepping mechanism. The method can be widely applied to key links such as parameter selection, security level verification and standard formulation of a post-quantum encryption algorithm.

The invention discloses a misalignment confirmation method based on fusion of a guide rail meter and multi-source metering data, and the method comprises the following steps: periodically collecting the forward active electric energy data of each user electric energy meter in a metering box through a guide rail electric energy meter, and transmitting a broadcast freezing instruction to all user meters before collection, so as to achieve the synchronization of a data clock; constructing an electric energy conservation equation; accumulating N periodic data to form N equations, constructing an augmented matrix, and solving an error value through a Gaussian elimination method; and calculating the actual relative error of the user table according to a relative error conversion formula by using the error value, and if the actual relative error exceeds a threshold value, determining that the user table is misaligned. According to the method, a micro closed loop is established based on the direct relation between a guide rail meter and a user side single-phase meter, a high-precision and low-dependence metering misalignment recognition mechanism can be realized by comparing the data difference of total-branch meters and eliminating line loss interference, and the method has higher practicability and popularization value.