122results about How to "Shorten calculation cycle" patented technology

The invention discloses a probability calculation-based multiple input multiple output detector, which comprises a matrix QR composer, the matrix QR composer is respectively connected with two random sequence generators, the two random sequence generators are respectively connected with a probability complex multiplier, one of the probability complex multipliers is connected with a Gibbs sampling update unit, and both the other probability complex multiplier and the Gibbs sampling update unit are connected with a log-likelihood ratio calculation unit. Because the multiple input multiple output detector uses probability calculation to carry out the MCMC (Markov chain Monte Carlo) algorithm, the complexity of operation is greatly decreased, the transition probability of the Markov chain in the MCMC algorithm is increased, and the problem of locking under a high signal-to-noise ratio is solved. A sliding window sequence generation method is utilized to carry out Gibbs sampling update, so the length of a probability sequence is reduced. When the multiple input multiple output detector is applied to construct a full-parallel detector, a high throughput rate can be achieved with the full-parallel mode.

In one embodiment, the present invention discloses an apparatus and method for providing efficient implementations of Finite Impulse Response (FIR) digital filters. Specifically, a result from a FIR digital filter can be efficiently computed by using an AVG operation or instruction in conjunction with one or more other operations. The unique use of the AVG operation will allow FIR filters of various types, e.g., Types 1-4, to significantly reduce computational cycles.

The invention relates to an interface method in the field of electric power system dispatching, in particular to a standard data exchange interface method of a parallel cooperative system. Data transmission between a database in the parallel cooperative system and an external data source is carried out through a data exchange interface; transmitted data adopt standard data formats; standard data adopt power grid data in E-language formats. The standard data exchange interface method comprises the following steps of (1) initializing an Oracle database; (2) reading a file in the E-language format to a memory; (3) copying in a list-to-list way; (4) writing the data to the Oracle database. According to the standard data exchange interface method disclosed by the invention, the problem of importing the data in different formats to the database is solved, and the defects such as manual data conversion and repeated operation which are caused by discrete of a daily traditional mainstream algorithm can be eliminated.

The invention discloses a non-linear load calculation method of a flying wing unmanned aerial vehicle, which comprises the steps of solving flight attitude parameters. A multi-degree-of-freedom coupling flight dynamics simulation model is adopted for aerodynamic and dynamic flight calculation of the aircraft based on aerodynamic non-linear coefficients in solving the flight attitude parameters, Atthe same time, an objective function is established to optimize the flight attitude parameters which do not meet the requirements by using the optimization algorithm, and the output flight attitude parameters are used as the input of the nonlinear concentrated load calculation. As for that aerodynamic non-linearity characteristic of the whole aircraft of the unmanned aerial vehicle (UAV), the invention adopt a flight dynamics simulation model of multi-degree-of-freedom coupling to solve the flight attitude parameters of three-axis couple non-linearity on the basis of the aerodynamic non-linearity coefficient; Thus, the nonlinear load calculation of flying-wing UAV is realized, which has good practicability.

An industrial model predictive control method realizing dynamic optimization based on linear programming comprises the following steps: 1) carrying out steady state target optimization: computing the expected target value output in a controlled way in the steady state according to the input quantity of the sampling period; and 2) carrying out dynamic optimization: 2.1) obtaining step response models of the industrial process by a least square method, wherein the step response models are established in N-numbered periods; 2.2) predicting the output quantity at each future moment from the k+1 moment, referring to formula (2); 2.3) ensuring the input and the output in the dynamic process to be in own upper and lower bound ranges, referring to formula (3), setting target constraint, referring to formula (4) and creating the following performance indexes, referring to formula (5); forming the dynamic optimization problem by combining the formulas (2), (3), (4) and (5), solving all the control increments deltau(i) by linear programming, wherein i=0, 1,..., N-m-1, and then substituting the control increments into the formula (2) to compute the predictive output values y(k+1), y(k+2),..., y(N). The method simplifies computation, shortens the computation period and is good in practicability.

The invention discloses a live broadcast platform user interestingness mining system and mining method based on association rules and relates to the technical field of data mining. The system comprises a data acquisition module for acquiring live broadcast platform user behavior information from a server and generating sampling transaction event library and a testing transaction event library, an association rule model establishing module for adopting a spark calculation framework to conduct frequency mode mining on the testing transaction event library to obtain an association rule model, a user interestingness output module for using the testing transaction event library as an input variable to input the association rule model, obtaining an output variable of the association rule model and using the output variable as user interestingness contents. The live broadcast platform user interestingness mining system has the advantages of being short in computing cycle and high in testing result accuracy and practicability.

The invention discloses a method for acquiring discrete state parameters of a power transformer, which solves problems of difficult power transformer state parameter recognition and difficult power transformer multi-source data mining. According to the invention, a discrete gas state parameter is acquired by adopting an improved equal width method according to the type and the content of dissolved gases in tested power transformer oil; a discrete partial discharge state parameter is acquired by adopting an information entropy decision tree method according to a discharge capacity statistical parameter, a discharge phase statistical parameter and a number of discharge statistical parameter; a discrete winding state parameter is acquired by adopting a binning method according to winding deformation and short-circuit current; and a discrete mechanical state parameter is acquired by adopting a chi-square test method according to the transformer temperature, vibration and noises. The method disclosed by the invention is applicable to the fields of power equipment detection and data mining, has the characteristics o f accurate data, high work efficiency, wide fault coverage, easy computer processing and the like, and has high economic values and broad market application prospects.

The invention relates to a method for calculating the static strength of a cabin door structure and belongs to the field of airplane structures strength design. Static strength calculation is performed based on a linear contact analysis method, and a finite element model of the cabin door structure is firstly established; according to the cooperative relation of the cabin door structure and an airplane body structure, boundary conditions are determined; then, the loading conditions applicable to constraint conditions of the cabin door structure are determined according to the boundary conditions, finally constraint of a linear contact analysis model is performed, a constraint control file is established, and finally the result of linear contact constraint reaction is calculated. By comparing a calculation result of linear contact analysis with a calculation result of nonlinear contact analysis, the static strength of the cabin door structure can be more conveniently, quickly and accurately calculated through linear contact analysis.

The invention discloses an MATLAB based cycloid gear parameter optimization method. The method comprises the following steps: step1. obtaining number ZP of needle teeth and needle teeth central circle radius rp; step2. according to restricting conditions, obtaining an eccentric distance and a needle gear sleeve outer circle radius rrp; step3. determining tooth number range and maximum engagement force involving in engagement simultaneously at the moment when the cycloid gear transmits; and step4. when needle teeth contact stress reaches strength requirement and rotary arm bearing life meets the requirement, outputting the eccentric distance a and the needle gear sleeve outer circle radius rrp, otherwise, executing step 2 until the requirement is met. According to the cycloid gear parameter optimization method, cycloidal gear parameter optimization is completed by analyzing basic principles of cycloid pin gear transmission and a design method of the cycloid gear. In the optimization, main parameters affecting cycloid gear transmission carrying capacity, the eccentic distance and the needle tooth radius rrp, are used as design variables, cycloid pin gear engagement strength and rotary arm bearing life are to-be-solved targets, and certain constraints are met.

The invention discloses a system and a method of double-scalar multiplication of a streamlined elliptic curve. The system and the method realize the calculation of the scalar multiplication of an elliptic curve through a structure comprising two or three finite domain square operation units, three finite domain multiplication units, a finite domain addition operation unit, a register set, a plurality of multipath gates and a control logic unit. The system and the method of the double-scalar multiplication of a streamlined elliptic curve have simple interface mode, greatly improved operation speed and no hardware idle time, can meet the encryption requirement of data with different widths, shorten a calculation period of an elliptic curve encryption algorithm and in parallel calculate finite domain element inversion and is quite suitable for an elliptic curve encryption system working with a high throughput rate.

The invention provides an overspeed protection method and device for a train. The method comprises the following steps of obtaining an initial speed limit position point of each speed limit area in apreset number of speed limit areas and a first speed limit value corresponding to each initial speed limit position point when an emergency braking of the train is triggered to obtained a plurality offirst speed limit values; obtaining the current driving position of the train and the corresponding second speed limit value, and obtaining the current driving speed of the train; determining the initial speed limit position point corresponding to a deceleration that satisfies a preset condition in the deceleration of a current driving speed relative to each first speed limit value as a target speed limit position point; determining an emergency braking speed according to the deceleration of the train based on the second speed limit value and the first speed limit value corresponding to the target speed limit position point, and conducting overspeed protection on the train according to the emergency braking speed. The method and device can effectively improve the accuracy of the emergencybraking speed calculation, reduce the calculation period, improve the driving safety and efficiency of the train, and improve the user's riding experience.

The invention discloses a compressible wall function calculation method considering a boundary layer combustion heat release effect, and belongs to the field of computational fluid mechanics. A velocity wall law and a temperature wall law under a combustion chemical reaction condition are proposed through theoretical derivation; based on this, a unified wall function calculation method capable of being compatible with compressible turbulent boundary layers with/without a chemical reaction simultaneously is established; and a detailed process coupled with a CFD program for solving is designed. The calculation method is low in technical realization difficulty and is suitable for the condition with or without the boundary layer combustion heat release effect. The numerical simulation efficiency of frictional resistance/heat flow of a flow passage in a scramjet engine can be greatly improved, so that the calculation cycle is greatly shortened.

The invention provides a reverse time migration method and apparatus for a VTI medium, and a medium. The method comprises: a focus coordinate is extracted in shot gather data and a focus wavelet is generated; according to a forward modeling scheme, the focus wavelet is extended based on a qP wave fluctuation equation along the time forward direction, wherein a plurality of wave field parts are selected for storage during the extending process; extension is carried out by using the plurality of wave field parts based on the qP wave fluctuation equation along the reverse time direction, therebyobtaining a focus wave field; seismic data are extracted from the shot gather data and interpolated seismic data are extended along the reverse time direction based on the qP wave fluctuation equationto obtain a demodulator probe wave field; correlation imaging is carried out on the focus wave field and the demodulator probe wave field to obtain a shot migration profile, and the above-mentioned steps are performed to obtain a plurality of shot migration profiles; and the multiple shot migration profiles are superposed to obtain a final imaging profile. Therefore, under the circumstance that the computing load is reduced substantially, the longitudinal wave component of the same kinematic feature can be obtained and thus the accurate reflection event returning of the imaging profile is realized, and the imaging precision of the complex medium is improved.

The invention discloses an evapotranspiration remote sensing inversion application based on a reflectivity-vegetation coverage two-dimensional space, and belongs to the technical field of surface evapotranspiration remote sensing estimation, and the method comprises the steps: S1, constructing an evapotranspiration remote sensing inversion network based on a convolutional neural network; S2, training the evapotranspiration remote sensing inversion network by using the training sample; S3, inputting the meteorological data and the satellite remote sensing image of the target area in the presettime scale into the trained evapotranspiration remote sensing inversion network to obtain evapotranspiration data of the target area in the preset time scale. According to the evapotranspiration remote sensing inversion application based on the reflectivity-vegetation coverage two-dimensional space, the neural network and the method for accurately obtaining the surface evapotranspiration of the target time scale through the remote sensing means are perfectly combined, the evapotranspiration calculation speed is increased, the calculation period is shortened, operation is easy, and intelligenceis good.

The invention provides a rectangular slab continuous casting cooling bed equipment foundation electric calculation combination fine adjustment method. The rectangular slab continuous casting cooling bed equipment foundation electric calculation combination fine adjustment method comprises the steps that pixels to be finely adjusted are defined and divided to obtain cooling bed equipment foundationpixels and slag runner transition section pixels; electric calculation fine adjustment is conducted on slag runner upper ramp pixels through upper ramp slag runner auxiliary data pixels, setting adjustment is conducted on slag runner body side wall horizontal steel bar pixels based on data extracted by the upper ramp slag runner auxiliary data pixels, and setting adjustment is conducted on upperramp slag runner peripheral pixels, outer edge foundation side wall horizontal steel bar pixels and foundation top low wall steel bar pixels; and summary calculation is conducted on steel bars, and the steel bars subjected to summary calculation are locked. According to the rectangular slab continuous casting cooling bed equipment foundation electric calculation combination fine adjustment method,by continuously exploring the combination of experimental thinking and a software calculation mode, existing functions of software are applied flexibly, a modeling method is innovated, and rectangular slab continuous casting cooling bed equipment foundation electric calculation combination modeling and electric calculation pixel combination modeling are completed.

The present invention discloses a hypersonic flight target flow field model and electromagnetic model coupling method. The method comprises: taking an appropriate volume to contain a target and a surrounding flow field assembly model of the volume, carrying out required electromagnetic grid division on the volume, mapping each flow field grid node to the electromagnetic grids, and taking the meanvalue of flow field node data contained in the electromagnetic grid for the grid containing the flow field nodes in the electromagnetic grid to replace the flow field data at the location of the electromagnetic grid; using the existing data electromagnetic grid linear interpolation technology for the remaining electromagnetic grids to obtain flow field data at the locations of the electromagneticgrids; converting the flow field data at locations of all electromagnetic grids into electromagnetic parameters required by the electromagnetic simulation through the formula; and establishing a plasma Drude model, and converting the plasma Drude model into a time domain for simulation and calculation. The coupling method disclosed by the present invention is more reasonable, and can better show the superiority of the time domain algorithm.

The invention discloses a method for determining the position of a bridge closure section of a cooperative system, which belongs to the technical field of bridge design and comprises the following steps that a full-bridge finite element calculation model is established, and a reasonable bridge forming state is determined; the closure section is preliminarily set to be located on the outer side ofthe side sling, and based on the unstressed state quantity construction control theory, the beam end vertical displacement delta s of the suspension end of the closure section is obtained through finite element calculation; if delta s is within the set interval range, it is determined that the preliminarily set closure segment position is basically reasonable; and if delta s is not in the set interval range, the overlapped section of the cable-stayed section and the suspension section serves as an interval, the position of the closure section is reset through a dichotomy, the full-bridge finite element calculation model is updated, and the vertical displacement delta s of the beam ends at the two ends of the closure section is recalculated till delta s is within the set interval range. Theoptimal closure position can be calculated, the position of the closure section and the closure scheme can be quickly calculated and determined, the operability is high, the calculation period is shortened, and the design efficiency is improved.

The invention provides an ensemble Kalman filter dynamic reservoir history matching method based on hyper-sphere transform. The method comprises the following steps: 1, initializing a set of reservoir models, wherein the set comprises static parameters, dynamic parameters and oil well production data; 2, performing hyper-sphere transformation on permeability in the static parameters, and constructing a novel state vector set; 3, inputting each state vector in the novel state vector set into a reservoir simulator for predicting so as to obtain a state prediction value, wherein each state vector and the state prediction value thereof form a prediction set; 4, calculating a Kalman gain matrix according to the prediction set; 5, updating the prediction set according to the prediction set, the Kalman gain matrix and the measured oil well production data, thereby obtaining the updated static parameters, dynamic parameters and oil well production data. According to the method disclosed by the invention, the accuracy of reservoir history matching precision can be improved, and the blindness of manual history matching can be reduced.