94 results about "Reverse transformation" patented technology

The invention discloses a reverse shift catalyst capable of inhibiting methanation side reaction under the process condition of higher pressure and a preparation method of the reverse shift catalyst, the catalyst comprises the following effective component: iron accounting for 40-80% (weight percentage) of the total amount of the catalyst in terms of Fe2O3, an auxiliary agent for inhibiting methanation side reaction is added, and the preparation method of the catalyst is a mixing and kneading method. According to the present invention, the auxiliary agent for inhibiting the methanation side reaction is added under the reverse transformation process condition, such that the methane generation amount of the catalyst under the reverse transformation high pressure process condition is significantly reduced, the selectivity of the CO2 reverse transformation reaction is improved, the hydrogen consumption is reduced, and the new requirement of the national green dual-carbon development is met.

An apparatus for producing glass includes: a recuperator heating a heat transfer medium through heat exchange with a combustion gas emitted from a glass melting furnace; a reactor causing a reverse shift reaction to progress by heating CO2 gas and H2 gas through heat exchange with the heat transfer medium heated by the recuperator and producing at least CO gas from the CO2 gas and the H2 gas; and a burner forming a flame inside the glass melting furnace by burning a flammable gas containing the CO gas produced by the reactor and a oxidizing gas.

The invention relates to the technical field of information security, in particular to a lightweight encryption and decryption method, which comprises the following steps: acquiring a continuous binary data stream of a sensor and segmenting the continuous binary data stream into fixed-length groups; calling a pre-generated round key sequence and a whitening key, wherein the round key sequence is generated through master key shift operation and round constant iteration; performing XOR operation on the grouped data and the whitening key to output initial confusion data; segmenting the initial confusion data into four equal-length sub-segments to execute multiple rounds of iterative processing, wherein each round comprises 16-bit modular addition operation and fixed-bit cyclic shift; xOR is carried out on the shifted data and a current round key, a sub-segment state is updated according to a preset branch processing rule, and linear transformation is carried out on the updated state by adopting a self-inverse matrix; the last-round output sub-segments are spliced into a ciphertext to be transmitted to an execution mechanism; during decryption, reversely calling the round key sequence, and multiplexing the self-inverse matrix to execute inverse transformation and reverse operation to recover original data. The problem of high encryption delay of industrial control equipment is solved.

The invention discloses a finite sample spectral data enhancement and physiological and biochemical component inversion method based on a de-noising diffusion probability model, which comprises the following steps: collecting leaf spectral data of a plurality of plant samples, measuring leaf nitrogen content, and constructing a leaf spectrum-nitrogen content data set; the spectrum-nitrogen content data of the leaves are input into a denoising diffusion probability model for data enhancement, original data distribution is degraded into analyzable distribution by gradually adding Gaussian noise in a forward diffusion process, noise distribution is inversely transformed into target data distribution by utilizing a learnable Markov chain in a reverse denoising process, and the target data distribution is subjected to data enhancement. Reconstruction of synthetic data from a random sample with known distribution is realized; combining the original data with the synthetic data to construct an extended training set; and training a regression model for inverting the physiological and biochemical components of the plant by using the extended training set. According to the method, the synthetic samples highly similar to real sample distribution can be generated, and richer data support is provided for a regression model, so that the prediction performance is enhanced.

Techniques for conducting an air flow simulation for a wind turbine include importing a file containing a digitized representation of a three-dimensional blade geometry, extracting from the file, blade constructive parameters, and calculating a low-order air flow past a wind-turbine that includes the blade, based on a Blade Element Momentum Theory (BEMT) to determine sectional angle of attack and free-stream velocity, boundary layer transition, and acoustic noise results. The techniques also include performing air flow simulation for a given number of blade sections, and generating virtual microphone rings. The process also includes computing noise spectra at the virtual microphone rings and blending the noise spectra generated and generating synthetic noise signals from each section by inverse Fourier transform of the noise spectra and converting the noise spectra into an audio track.

The invention provides a calculation method and system for a two-dimensional foundation pit unsteady-state seepage field under suspension type retaining wall supporting, and belongs to the technical field of computer aided design. Dividing a seepage field around the foundation pit into three regular areas according to the boundary condition when the boundary state is zero when seepage does not occur; sequentially carrying out Laplace transformation, Fourier transformation and inverse transformation on the time variables in the unsteady-state seepage equilibrium equation and the boundary condition of each region to obtain an expression of a water head series solution of a water head of each region; constructing a non-homogeneous equation set by utilizing continuous conditions among the regions; programming solving is carried out by utilizing orthogonality of a trigonometric function, and obtained constant terms are substituted into expressions of water head series solutions of all the areas; and carrying out inverse transformation on the solved expression by adopting a Stehfest method to obtain an expression of the unsteady-state seepage field water head solution of the foundation pit. The seepage field analytic solution calculated by the method has high precision, and the dynamic change characteristic of the seepage field around the foundation pit along with time can be accurately determined.

The invention discloses an RGB-D video encryption and decryption method based on a hyper-chaos technology and octlet fractional order Hartley transformation, and the encryption method comprises the following steps: S1, constructing a two-dimensional hyper-chaos system ICCHM based on ICMIC chaos mapping and Chebyshev chaos mapping, and generating a random matrix and a random sequence required by encryption by using the two-dimensional hyper-chaos system ICCHM; s2, defining octlet fractional order Hartley transformation and inverse transformation of the octlet fractional order Hartley transformation; and S3, carrying out RGB-D video encryption processing. According to the method disclosed by the invention, integral encryption of RGB-D is realized, two types of data with difference can be processed at the same time, and relatively high video encryption efficiency, relatively large key space and relatively high security are achieved; in addition, the encryption key management and transmission of the method are very convenient, and common cryptographic attacks can be effectively resisted.

The invention discloses a wave power generation and energy storage method based on a superconducting cable and an optimization controller. The method comprises the following steps: firstly, acquiring deviation between wave power generation power and power grid demand, and inputting the deviation to a TID controller after Laplace transformation; the core of the method is that an ant colony optimization algorithm is adopted to dynamically optimize a tilt term coefficient, an integral term coefficient and a differential term coefficient of a TID controller, a parameter space is discretized into candidate nodes, an ant colony probability optimization and pheromone updating mechanism is simulated, time weighted absolute error integral is taken as a fitness function, and an optimal control parameter combination is iteratively searched; based on the optimization result, the TID controller generates a master control signal, and after inverse transformation and physical constraint, the superconducting cable energy storage system is driven to rapidly charge and discharge, so that high-precision and self-adaptive stabilization of wave energy power fluctuation is realized. Intelligent parameter optimization and superconducting energy storage are combined, and the control performance, the response speed and the overall energy efficiency of the system are remarkably improved.

The invention discloses a transaction data generation method and device. The method comprises the following steps: randomly generating polynomial distribution noise and Levy distribution noise; based on a Levy distribution reverse denoising model, reverse denoising is carried out on Levy distribution noise, standardized inverse transformation is carried out on first data obtained through reverse denoising, and Levy distribution transaction data is generated; and based on the polynomial distribution reverse denoising model, performing reverse denoising on the polynomial distribution noise, and performing one-hot coding inverse transformation on second data obtained by reverse denoising to generate polynomial distribution transaction data. According to the Levy distribution reverse denoising model, a Levy distribution function which better conforms to financial data long-tail distribution characteristics is adopted to model numeric type, date type and time type data, samples which better conform to real data distribution are generated, and the actual availability of synthetic data is improved. Therefore, the accurate transaction data generation method is realized.

The invention discloses martensite structure genetic effect-based ultrahigh strength and plasticity advanced high-strength steel and a preparation method thereof, and belongs to the technical field of metal materials. The advanced high-strength steel comprises the following chemical components: C, Mn, Si, Al, Nb, Ti, Fe and the like, and the core of the advanced high-strength steel is that a microstructure is regulated and controlled through the'structure genetic effect 'of martensite: full martensite formed by pre-quenching is used as an initial structure, and reverse transformed austenite is preferentially nucleated on a martensite lath interface through critical zone annealing and inherits the lath form of the martensite lath; the double-peak retained austenite with battens as the main part (the volume fraction is larger than or equal to 70%) and blocks as the auxiliary part (the volume fraction is smaller than or equal to 30%) is finally obtained, the Mn element of the batten retained austenite is obviously enriched, the mass fraction of the Mn element is larger than or equal to 3.5%, the tensile strength of the finally-obtained advanced high-strength steel reaches 840-900 MPa, the ductility is 35-40%, the product of strength and ductility is larger than or equal to 31.5 Pa%, and the tensile strength is larger than or equal to 31.5 Pa%. The method is suitable for the fields of automobile lightweight, high-end equipment manufacturing and the like with strict requirements on material performance.

Disclosed herein is a video decoding method including: obtaining a transform skip mode flag indicating whether or not a transform skip mode is applied to a current block; based on the transform skip mode flag, when a transform skip mode is applied to the current block, determining that secondary transform / inverse transform is not applied to the current block; and, according to the transform skip mode flag, when a transform skip mode is not applied to the current block, obtaining a transform matrix index for secondary transform / inverse transform of the current block and, according to the transform matrix index, determining whether or not secondary transform / inverse transform is applied to the current block.

A method and apparatus for performing transformation and inverse transformation on a current block by using multi-core transform kernels in video encoding and decoding processes. A video decoding method may include obtaining, from a bitstream, multi-core transformation information indicating whether multi-core transformation kernels are to be used according to a size of a current block; obtaining horizontal transform kernel information and vertical transform kernel information from the bitstream when the multi-core transformation kernels are used according to the multi-core transformation information; determining a horizontal transform kernel for the current block according to the horizontal transform kernel information; determining a vertical transform kernel for the current block according to the vertical transform kernel information; and performing inverse transformation on the current block by using the horizontal transform kernel and the vertical transform kernel.

The present application discloses a method for repairing non-45° bevels in an integrated circuit physical layout into 45° bevels, comprising: segmenting each closed figure to determine the longest continuous bevel chain connecting each vertex; performing affine transformation on the original coordinates of each vertex on each longest continuous bevel chain to obtain the affine transformed coordinates of each vertex; determining the effective range of movement of each vertex based on the affine transformed coordinates between different vertices; determining the candidate adjusted coordinates of each vertex based on the effective range of movement of each vertex; performing back-calculation on the candidate adjusted coordinates of all vertices in sequence along a second direction to obtain the effective adjusted coordinates of each vertex; performing inverse transformation on the effective adjusted coordinates of all vertices to obtain the repaired vertex coordinates of each vertex, so as to repair the non-45° bevels on each longest continuous bevel chain into 45° bevels.

The application discloses a kind of based on dual three-dimensional memory hyperchaos SCMA-OFDM transmission system, the system includes sending end and receiving end, the user of sending end possesses respective codebook, J user shares K subcarrier, initial bit information and after the calculation of hyperchaos model of memristor triangle mapping chaotic codebook enter SCMA encoder and carry out codebook mapping processing, obtain encrypted SCMA-OFDM signal, for carrier synchronization, it is inserted pilot, after pilot, obtain frequency domain signal and information data using fast inverse fourier transform after the calculation of hyperchaos model of memristor triangle mapping, frequency domain signal is changed into time domain signal;Then to time domain signal is increased cyclic prefix CP and cyclic suffix CS to eliminate intercarrier interference, then parallel-serial conversion parallel signal is changed into serial signal, finally through up-conversion DUC complex signal mixing becomes real signal into transmission channel.The transmission system of regular hexagon chaotic codebook, its performance is improved by 2.5dB than traditional codebook.

The present application discloses a method and system for implementing SACM-compliant safety case creation in SysML v2. The method includes: separately creating an EMF-based SACM safety case model and a SysML v2 safety case model that comply with the SACM standard; separately executing verification rules on external files referenced by the EMF-based SACM safety case model and the SysML v2 safety case model; separately executing forward transformation and reverse transformation on the EMF-based SACM safety case model and the SysML v2 safety case model after executing the verification rules on the referenced external files. Using the solution of the present application, it is possible to verify whether the referenced external files meet the defined security constraints, thereby enhancing the credibility and reliability of the entire safety case. At the same time, by separately executing forward transformation and reverse transformation between the EMF-based SACM safety case model and the SysML v2 safety case model, lossless bidirectional migration of the safety case model between the SysML v2 platform and the EMF platform can be achieved, ensuring the consistency of model semantics.

The invention discloses a deflection calculation method of a steel-concrete composite beam under uniformly distributed loads, and relates to the technical field of high-speed railway bridge construction. The method comprises the following steps: establishing a differential equation of the continuous steel-concrete composite beam and carrying out Laplace transformation to obtain an expression of a non-zero real solution; inverse transformation is carried out on the equation obtained after Laplace transformation, an analytical expression of the deflection of the composite beam is obtained, and the expression comprises a plurality of unknown quantities. Substituting the structure parameters and the material parameters of the composite beam into the non-zero real number solution expression to solve Laplace transformation parameters; the parameters and the boundary conditions are substituted into the deflection analytical expression, and matrix elements used for solving unknown quantities are obtained; and constructing a linear equation set, solving an unknown quantity, substituting the unknown quantity into a deflection analytical expression, and finally obtaining a complete expression for solving the deflection of the continuous composite beam. The complete expression of the deflection of the continuous composite beam provided by the invention is suitable for analyzing the deflection of a single-span or continuous steel-concrete composite beam, and has relatively high calculation precision.

The invention discloses a grid-connected inverter control method, device and system, and relates to the technical field of inverter control, and the grid-connected inverter control method comprises the following steps: S10, obtaining a power grid side three-phase current, and carrying out the dq conversion of the power grid side three-phase current to obtain a d-axis current component and a q-axis current component of the power grid side three-phase current; s20, calculating the d-axis current component and the q-axis current component of the three-phase current at the power grid side according to a preset fractional order self-coupling PI lambda control algorithm to obtain a control output signal; and S30, performing dq inverse transformation and pulse width modulation processing on the control output signal, and inputting the control output signal to a grid-connected inverter. The fractional order self-coupling PI lambda control algorithm is adopted to control the grid-connected inverter, on one hand, the characteristic that existing self-coupling PI control is high in disturbance rejection capacity is inherited, on the other hand, the control precision of the existing self-coupling PI control is further improved by adding a fractional order integration link, and the electric energy quality of an input power grid of the grid-connected inverter is effectively improved.

The invention discloses a cold machining method of a super duplex stainless steel seamless tube, relates to the technical field of stainless steel tube machining, and aims to solve the problems of long period, high cost and structure coarsening caused by multiple times of intermediate annealing in the prior art. The method adopts a three-stage cold-drawing process which does not need intermediate annealing and is sequentially and continuously carried out, and comprises the following steps: carrying out low-temperature first-stage pre-deformation, introducing alpha'martensite and inducing a strong gamma-phase texture; medium-temperature secondary main deformation is carried out, and full reversal of alpha'martensite and in-situ precipitation of nanoscale Cr2N in an alpha phase are synchronously realized by controlling the temperature, the strain rate and the deformation in a specific synergistic window; according to the seamless pipe and the preparation method thereof, the final deformation close to the reverse transformation temperature is adopted to stabilize the structure, triple cooperative regulation and control of the phase proportion, the nanometer precipitation and the crystal texture are achieved, the prepared seamless pipe has high yield strength, high toughness and excellent stress corrosion resistance, meanwhile, the production period is greatly shortened, and the cost is reduced.

The present invention discloses a scenario generation method that takes into account the uncertainty of distributed power sources and load output. The method comprises the following steps: first, in view of the strong randomness and large volatility of wind power generation, distributed wind power is used as the research object of the uncertainty of power source output, and based on the binning theory and inverse transformation sampling method, multi-time section dynamic scenarios that take into account the randomness and volatility of power source output are generated; second, a copula function is introduced to generate spatial static scenarios with correlation; second, a scenario sorting method is used to couple and generate spatiotemporal dynamic and static scenarios that take into account the randomness, volatility and correlation of power source output; third, the above method is continued to process the uncertainty of load change, and the load characteristics are combined with the uncertainty to form corresponding typical scenarios; finally, the above-generated multiple scenarios are subjected to scenario reduction using the K-means clustering algorithm to generate typical scenarios, thereby improving the efficiency of subsequent calculations and scenario processing, and transforming the source-load output uncertainty problem into a probabilistic deterministic problem.

The application provides a silicon-based free-space optical MEMS accelerometer and a manufacturing method, the upper layer of the accelerometer is a glass substrate free-space optical sensitive structure, the lower layer is a silicon-based horizontal axis MEMS sensitive structure, and the upper layer structure is fixed on the lower layer structure through a bonding process. The upper layer optical sensitive structure is composed of a pair of Michelson interferometers, a glass anchor point and a glass mass; the lower layer MEMS sensitive structure is composed of four groups of cantilever beams, a silicon anchor point and a silicon mass. The lower layer MEMS sensitive structure converts the horizontal axis input acceleration into the displacement of the silicon mass, the displacement is synchronously transmitted to the glass mass, and a pair of reversely arranged Michelson interferometers convert the displacement into the reverse transformation of the phase of the interference light, so that the high-precision differential detection of the acceleration is realized. The micro-optical accelerometer scheme provided by the application has the outstanding advantages of high detection sensitivity, strong anti-common-mode error capability and high integration.

The invention discloses a fully homomorphic encryption high-precision bootstrap method which can give consideration to both efficiency and precision. The method sequentially comprises the steps of modulus improvement, coefficient slot transformation, polynomial approximation, inverse transformation and scaling. According to the method, firstly, the modulus is improved, the modulus space is expanded, and the slot vector is converted, so that large-scale parallel processing is realized; secondly, adopting a double-stage approximation framework, namely, firstly performing global preliminary approximation by using Fourier series, and then performing local refined optimization by using Chebyshev interpolation in a key effective approximation interval so as to effectively balance the calculation efficiency and the approximation precision; and finally, an error-aware adaptive node allocation algorithm is introduced to break through the traditional mode of uniform resource allocation, and remarkably higher overall approximation precision is obtained through dynamic optimization with the completely same calculation cost.

The application discloses a TMCP preparation method of a low-carbon equivalent high-strength steel of a ship plate, and belongs to the technical field of metal material processing. The steel material comprises C, Si, Mn, Ni, Cr, Mo, Al, Nb, P, S, Fe and impurities. The preparation method comprises the following steps: smelting and continuous casting, slab heating, controlled rolling, quenching treatment and reverse phase transformation annealing. The application adopts low-carbon medium-nickel collaborative design, replaces interstitial atom carbon with substitution atom nickel as an austenite stabilizing element, introduces high-density crystal defects through controlled rolling, obtains full martensite structure in combination with offline quenching, and then is subjected to two-phase zone reverse phase transformation annealing to obtain the final structure of a tempered martensite matrix with 10% to 20% thin film-shaped reverse transformation austenite distributed thereon. The obtained steel material has high yield strength and high impact energy at-80 DEG C, and welding does not need preheating, and has high strength, excellent low-temperature toughness and excellent welding performance, and is suitable for high-value-added application scenarios such as polar ships.

The invention discloses a multiple parallel interphase circulating current suppression and dead zone compensation method based on a dynamic dead zone, and the method comprises the steps: achieving the circulating current suppression through a mode of adjusting the dead zones of inverters, obtaining the duty ratios of all parallel inverters, determining and calculating the dead zones based on the duty ratios of all inverters, taking the inverter with the small duty ratio as a negative deviation square, and enabling the inverter with the small duty ratio to serve as a negative deviation square. According to the method, dead zone adjustment is carried out according to a comparison result of a calculation dead zone and an inverter inherent dead zone and a maximum dead zone, dead zone compensation is further carried out on a single inverter, three-phase current is converted into direct current through a 3 / 2 conversion mode, then filtering is carried out, then the direct current is converted into smooth and clean three-phase current through an inverse conversion mode, disturbance is eliminated, and the direct current is filtered. The problem of current zero crossing point direction discrimination error during dead zone compensation is solved; according to the technical scheme, starting from the actual control effect of each inversion module, the duty ratio is actively adjusted according to the current, the purpose of eliminating circulating current is achieved, and the problems of time delay and wrong current direction judgment are solved on the premise of eliminating disturbance.

The application discloses a power system nonlinear load power metering method based on improved S transformation, and comprises the following steps: step one, extracting voltage and current fundamental component and distortion component based on IST, and obtaining voltage and current fundamental part and distortion part signals respectively; step two, reconstructing voltage and current signal fundamental discrete signals and distortion discrete signals through IST inverse transformation; step three, carrying out dot product and operation on the reconstructed voltage and current signal fundamental discrete signals and distortion discrete signals, and thus power metering of the signals can be completed. The decomposition and reconstruction algorithm based on IST provided by the application can significantly improve metering precision when metering power under the condition of existing harmonics and nonlinear load, and the application provides theoretical support and application guidance for applying the IST method to new power system power metering with a high proportion of nonlinear load.

The method is for homolytic and heterolytic cleavage in molecules of gases and liquids with the release of bonding energy and its use to change the internal geometric architecture of some molecules, leading to the synthesis of new chemical compounds that are not contained in the initial gases and liquids, with the secondary release of energy during the synthesis process, without carrying out nuclear reactions on equipment for its realization, characterised by an increase in the energy of the work environment and use of this energy to generate thermal energy with simultaneous synthesis of new chemical compounds, in consequence of the physical effect of a standing pressure wave on the gas and liquid molecules at various temperatures, where the temperature is a measure of activation energy, and subsequent dissociation of the molecules into atoms or fragments of molecules (radicals), partial ionization of atoms and subsequent transformation of the bonds in atoms of the molecules with no change to atomic number but with a change to atomic mass and in the proton-neutron ratio. The method also consists in the direct conversion of neutron mass into the mass equivalent to the total mass of 1 electron and 1 proton that do not go beyond the framework of the electrodynamic interaction of electrons and the nucleus, which ensures the absence of radiation, where the method also consists in the transformation of an atom into a chemical molecule or the reverse transformation of 1 electron and 1 proton into 1 neutron from the volume, where these elementary particles can be free, with external exchange of energy and mass equalling the mass with a positive charge and equal to the reduction in the mass of the neutron and proton. The method furthermore consists in a back reaction to the physical effect consisting in the formation of new chemical compounds that are not contained in the initial gases and liquids, with the release of the energy produced during the process of recombination of atoms into the original molecules, where the execution of the proposed method takes place through a combination of initial influences, such as for example: 12 C 1 H 4=16 Ne=16 O, while the method further consists in rearranging the architecture of some molecules without changing the atomic number, mass number, atomic weight as a reaction to a physical impact, during which new chemical compounds are synthesized, including those that they are not contained in the initial gases and liquids, while the energy generated during these synthesis reactions is released, for example 14 N 2=12 C 16 O; 12 C 16 O 2=14 N 2 16 O. The proposed method is implemented by a combination of initial influences, such as:increase in temperature of up to 250° C., ideally 140° C. to 150° C.;reduction in pressure (creation of a reduced atmosphere) to-100 kPa, ideally-65 kPa;generation of standing pressure waves;electric discharge (tribostatic discharge, barrier, spark) with a breakdown voltage of 1 to 15 kV;the value of the magnetic field in the reactor based on the discharge in the gas is 70 to 120 nTl;micro-explosions;impact, impact force, at which negative acceleration at from 50,000 to 150,000 g occurs;or a combination of these influences.The apparatus for converting hydrocarbon and non-hydrocarbon gases and liquids consists ofan acceleration module, which is a piece of apparatus accelerating a mixture of gas and liquid up to a speed of 30 to 400 m / s;a deceleration module, which is a tribostatic energy generator covering 70% to 90% of the reactor's cross-section;a tribostatic generator, which consists of two electrodes which are placed side by side an on which positive and negative charges are mutually created;a reduced atmosphere zone after the deceleration module.

The invention discloses an efficient synthesis system and method for crude methanol, a tandem reaction system is established by combining the high catalyst stability of a fixed bed reactor and the strong heat transfer characteristic of a slurry bed reactor, and the tandem reaction system at least comprises a fixed bed pre-reactor and a slurry bed main reactor; unreacted gas is distributed to the fixed bed pre-reactor and the slurry bed main reactor in proportion; a Cu.Zn.A < l > CeO2 composite carrier structure is utilized, an outer CeO2 nano coating selectively adsorbs CeO2, and a Cu.Zn.A < l > active component is used for directional conversion of CO; introducing outlet gas of the slurry bed reactor into an inverse transformation unit to react with green hydrogen prepared by electrolyzing water to generate CO; the reaction heat of the fixed bed pre-reactor is used for steam power generation through three-stage thermal coupling, and the medium-temperature waste heat of the slurry bed reactor drives absorption refrigeration. The efficiency, the environmental protection property and the economical efficiency of the methanol synthesis process are improved.

The present application relates to a kind of big data platform-oriented stream data incremental cleaning method, belong to data cleaning technical field, comprising the following steps: step 1: data stream is divided into sliding window according to the preset window time length, and adjacent relation graph is constructed according to leaf node co-occurrence relationship;Step 2: the data record in each near neighbor bucket is constructed field fingerprint string, and the data record that field fingerprint string is not identical with all leading mode fingerprints in leading mode fingerprint set is marked as dirty data mode seed;Step 3: with dirty data mode seed as the initial label of dirty data area, the data record of dirty data area is executed local cleaning operation according to original field unit and is recovered after inverse transformation and outputs cleaning result.The present application is applicable to real-time big data scene such as Internet of Things and financial transaction.

The present invention relates to a method for reverse transformation of the habitat of Elodea in a reservoir area. Remote sensing images of the reservoir area are formed through drone aerial survey. UAV remote sensing has the characteristics of flexible data acquisition and high image resolution, and is very suitable for dynamic monitoring of different vegetation cover types and coverage of lakes, reservoirs and rivers at a landscape scale. The water depth threshold and flow rate threshold for reverse transformation of Elodea in each reservoir area are collected in real time, so that targeted reverse transformation can be carried out for Elodea in different growth environments in each reservoir area, thereby maximizing the transformation efficiency and reducing the transformation cost. After the threshold is collected in real time, hydrological conditions that are not conducive to the growth of Elodea can be created by increasing the water output Q of the upstream reservoir or opening the gates of the downstream reservoir to release water or carrying out local terrain transformation. The Elodea reproduction and growth are effectively suppressed in the early stages, thereby effectively inhibiting the reproduction and growth of the Elodea.

The present application relates to a kind of big data platform-oriented stream data incremental cleaning method, belong to data cleaning technical field, comprising the following steps: step 1: data stream is divided into sliding window according to the preset window time length, and adjacent relation graph is constructed according to leaf node co-occurrence relationship;Step 2: the data record in each near neighbor bucket is constructed field fingerprint string, and the data record that field fingerprint string is not identical with all leading mode fingerprints in leading mode fingerprint set is marked as dirty data mode seed;Step 3: with dirty data mode seed as the initial label of dirty data area, the data record of dirty data area is executed local cleaning operation according to original field unit and is recovered after inverse transformation and outputs cleaning result.The present application is applicable to real-time big data scene such as Internet of Things and financial transaction.

The application discloses a deflection calculation method of a steel-concrete composite beam under uniform load, and relates to the technical field of high-speed railway bridge construction. The method comprises the following steps: a differential equation of a continuous steel-concrete composite beam is established, and Laplace transformation is performed to obtain an expression of non-zero real number solution; inverse transformation is performed on the equation after the Laplace transformation to obtain an analytical expression of the deflection of the composite beam, which contains multiple unknown quantities. The structural parameters and material parameters of the composite beam are substituted into the non-zero real number solution expression to solve the Laplace transformation parameters; the parameters and boundary conditions are substituted into the deflection analytical expression to obtain matrix elements for solving the unknown quantities; a linear equation set is constructed, the unknown quantities are solved, and then are substituted into the deflection analytical expression to finally obtain a complete expression for solving the deflection of the continuous composite beam. The complete expression of the deflection of the continuous composite beam provided by the application is suitable for analyzing the deflection of a single-span or continuous steel-concrete composite beam, and has high calculation precision.