72 results about "Decomposition problem" patented technology

The invention belongs to the remote sensing image processing technical field, in particular to a remote sensing image mixed pixel decomposition method based on self-organization mapping neural network. The method integrates the self-organization mapping neural network and the fuzzy grade of membership in the fuzzy theory to work out abundance values after decomposition. Simultaneously, as the self-organization mapping neural network does not has the competitive learning characteristic of an objective function, the method is free from the problem of local extremum. In addition, the invention automatically meets the two bindings required by the mixed pixel decomposition problem, wherein the two binds are respectively the binding of non-negative abundance values and the binding of the sum of the abundance values being 1. The invention has a better mixed pixel decomposition effect and a higher anti-noise capacity. The new method has a particularly important application value concerning the high-accuracy ground object separation and ground target detection and identification based on multi-spectrum and high spectrum remote sensing image.

The invention belongs to the technical field of remote sensing image processing, in particular to a hyperspectral remote sensing image mixed pixel decomposition method based on independent component analysis. According to the physical characteristics of hyperspectral images, the invention introduces abundance sum-to-one constraint and abundance nonnegative constraint into the target function of independent component analysis, and provides a self-adapting abundance modeling method to describe probability distribution of data, thus presenting favorable applicability towards different remote data. The method can effectively solve the problems of high mixing degree and remote sensing data mixed pixel decomposition under various interferences, and has significant application value in high-precision ground feature classification and detection and recognition of ground targets based on multispectral and hyperspectral remote images.

The invention discloses a coordinated planning method for energy storage, distributed power supply and distribution network based on Benders decoupling. On the basis of establishing a coordinated planning model of distribution network considering energy storage and distributed power supply, according to the idea of ​​Benders decoupling, Decompose the model into the main problem and sub-problems, and decompose the sub-problems again to form decomposition sub-problems and relaxation sub-problems, solve the decomposed sub-problems to obtain the values ​​of the continuous variables of the sub-problems, and solve the relaxed sub-problems to obtain the values ​​of the discrete variables of the sub-problems value, and form an effective cut set to feed back to the main problem. After iterative solution, the overall optimal solution that takes into account both the main problem and the sub-problem is obtained. The invention decomposes and re-decomposes the mixed integer nonlinear optimization problem containing a large number of integer variables and continuous variables, reduces the scale of the problem, and solves the difficult problem of large-scale planning considering multi-stages and multi-variables in distribution network planning. At the same time, coordinated planning is carried out for the optimal configuration of energy storage and distributed power sources and the reconstruction of the grid structure to achieve efficient solutions.

The invention discloses the application of solid acid that is FexVyOz used as a Fenton-like reaction catalyst. The FexVyOz is FeVO4, Fe2V4O13 or Fe4V6O21. The catalyst can coordinate with water to form tetrabasic acid in water solution due to the strong polarization force of ferrum and vanadium, and the ferrum and the vanadium can also catalyze H2O2 to generate highly active hydroxyl radicals to effectively degrade organic pollutants. The application introduces ferric vanadate class solid acid to the Fenton-like reaction, good H2O2 activation effect is achieved, the self decomposition problem of the H2O2 is improved, and a bran-new effective way for performing the advanced treatment on biologic hard-degradation organic wastewater is provided.

The invention discloses a synthetic method of 2,6 dihydroxy naphthalene, which comprises the following steps: placing 2,6 dihydroxy naphthalene in an alkali fusion pan, then a mixture of solid sodium hydroxide and nitrate is placed, Slowly heating to 150-170 DEG C, stirring, continuously heating to 320 DEG C, insulating for fusing alkali for 2.5-3.5 hours at 310-330 DEG C, then cooling to 200 DEG C, slowly dropping 450g of water for diluting, using a tri(octyl-decyl)amine solution for extracting 2,6-dihydroxy naphthalene, then acidifying the extracted 2, 6-dihydroxy naphthalene by sulfuric acid, and filtering and refining filter cake by an ethanol water mixed solvent to obtain 2,6-dihydroxy naphthalene. According to the synthetic method of 2,6-dihydroxy naphthalene, the used inorganic solvent is a mixture of potassium nitrate, sodium nitrite and sodium nitrate. According to the invention, viscosity of an alkali fusion material is low, fluidity is good, material can be uniformly mixed, and alkali fusion effect is good. In addition, under high temperature condition for alkali fusion, no decomposition problem of oxidation organic matter is generated, and no difficult separating problem is generated for the mixture.

The invention discloses a precoding method based on an iteration minimum in millimeter wave communication. A channel is decomposed through using a DFT decomposition mode so as to construct optimal mixed precoding. A mixed precoding design is converted into a matrix decomposition problem. An orthogonal constraint is performed on digital precoding. According to an orthogonal characteristic of the digital precoding, a phase simulating precoding is extracted. Through multiple iterations, a final mixed precoding scheme is formed. Compared with other precoding modes, by using the method of the invention, the frequency spectrum efficiency of a system can be increased and the complexity of a precoding technology is reduced.

Embodiments of the present invention provide an article topic keyword extraction method and apparatus based on low-rank matrix decomposition. The method mainly comprises training an article text after data pre-processing by using a tool representing words as real-value vectors, obtaining a word vectorization file, extracting keywords of each event of a specific topic in the article text after data pre-processing by using a keyword extraction algorithm based on a text graph model, querying the word vectorization file according to the extracted keywords, and establishing a keyword matrix of the specific topic; and solving the low-rank decomposition problem of the keyword matrix by using an augmented lagrange multiplier algorithm, obtaining a keyword low-rank matrix, and finally generating the keywords of the specific topic in the article text after data pre-processing. The keywords of article topics in microblogs are generated by using the low-rank matrix decomposition method, the sparsity problems of the article topic keywords in microblogs is effectively solved, and interference of non-keyword data noise is largely reduced.

The invention discloses a compound insecticidal aqueous emulsion containing abamectin and chlorpyrifos. The aqueous emulsion contains the following components by weight percentage: 0.1 to 5 percent ofabamectin, 10 to 50 percent of chlorpyrifos, 10 to 40 percent of solvent, 5 to 15 percent of emulsifier, 3 to 5 percent of anti-freeze agent, 0.05 to 1 percent of thickener, 0.05 to 0.2 percent of defoamer, 0.1 to 5 percent of stabilizer, and the balance of water. The invention has the advantages of solving the decomposition problem of the abamectin and greatly improving insecticidal efficacy, along with safe use, good environmental protection property and low cost.

The invention belongs to the blind despreading technical field, and especially relates to a synchronous long code DS-CDMA signal blind separation method based on deletion tensor low-rank decomposition. The invention provides a synchronous long code DS-CDMA signal blind separation method suitable for the case in which a spread spectrum sequence period is non-integer times of a spreading factor. The method comprise: converting a blind separation problem of synchronous long code DS-CDMA signals intercepted through multiple channels into a low-rank decomposition problem of a synchronous long code DS-CDMA signal deletion tensor model; realizing the low-rank decomposition of the deletion tensor model through an interpolation ALS algorithm; and finally obtaining the information code matrix of multiple users and completing signal blind separation. The method possesses better performance even under the condition of a low SNR (Signal Noise Rate) or short data.

The invention discloses an information source variable single-pixel constraint ICA-based mixed pixel decomposition method. The ICA is a common blind source separation method. As the constraint condition exists in the mixed pixel decomposition problem instead of other blind source separation problems, the ICA used in the mixed pixel decomposition problem cannot achieve good decomposition effect; at the same time, two problems exist in the field of the mixed pixel decomposition: how to solve the mixed pixel decomposition problem that the surface feature is greater than the number of remote sensing image channels and how to solve the precision problem brought by always fixed surface feature. In order to effectively solve the problem of the mixed pixel decomposition by using an ICA model and solve the two problems of the mixed pixel decomposition, the invention improves the traditional ICA, and provides a new method for the mixed pixel decomposition, namely an information source variable single-pixel constraint ICA method. Tests prove that the method can obtain a result superior to other decomposition methods.

The invention discloses a fluidized bed low-temperature granulation drying production system, and belongs to production systems. The structure of the system comprises a fluidized bed granulator, a fluidized bed drying cooler, a crystal seed circulating system, a dust reclaiming system and an air supply dehumidifying system, wherein the crystal seed circulating system comprises a vibrating screen and a crusher; the dust reclaiming system comprises a fluidized bed granulator dust reclaiming system and a fluidized bed drying cooler dust reclaiming system; the fluidized bed granulator dust reclaiming system is connected with a fluidized bed granulator; the fluidized bed drying cooler dust reclaiming system is connected with a fluidized bed drying cooler; the air supply dehumidifying system comprises a fluidized bed granulator heat supply system and a fluidized bed drying cooler heat supply dehumidifying system; the fluidized bed granulator heat supply system is connected with the fluidized bed granulator; and the fluidized bed drying cooler heat supply dehumidifying system is connected with the fluidized bed drying cooler. The system has the characteristics of no existence of high-temperature carbonization and decomposition problems, good product quality, no environmental pollution from tail gas and the like.

The invention discloses a method for analyzing tantalum-niobium ore through a low-dilution ratio fused X-ray fluorescence spectroscopy. The method comprises the following steps: firstly designing a standard curve, preparing and fusing a standard sample, then determining instrument analysis conditions, correcting a matrix and spectral line overlapping effect, establishing an analytical method to simulate the validity of a raw ore and concentrate sample verification method and determining niobium, tantalum, titanium, silicon, iron, manganese, calcium, aluminum, sodium, potassium and tungsten inthe niobium-tantalum ore. A low-dilution ratio fused sample preparation method is used as a method for pretreatment in X-ray fluorescence spectrology analysis of the tantalum-niobium ore, and on the premise of ensuring the method sensitivity, a particle size effect and a mineral effect are eliminated; besides, the sample decomposition problem is also solved, and the hydrolysis of the niobium and the tantalum in an acid solution is avoided; the low-dilution ratio fused X-ray fluorescence spectroscopy method is more time-saving and labor-saving than a traditional method when being used for analyzing major and minor components in the tantalum-niobium ore; and the method has the advantages of being low in detection limit, wide in linear range, high in analysis speed and the like.

The invention provides a multi-source image fusion method based on discriminant dictionary learning and morphological component decomposition. To achieve a purpose of cartoon-texture component separation of different morphological structures in a source image, the method transforms an image decomposition problem into an image classification problem, and designs a cartoon texture discrimination dictionary learning model. Considering the fact that image decomposition is not only related to dictionary, but also to decomposition strategy, a new image decomposition model is designed. In this model,the texture component is regarded as noise superposed on the cartoon component of the source image, and the consistency regularity term of non-local mean similarity is introduced to constrain the solution space of sparse coding coefficients. Finally, the coding coefficients of the fusion image are selected according to the maximum l1 norm of the coding coefficients of the corresponding components. The result shows that the method has the better fusion performance both in visual effect and objective index.

The invention provides a processing agent for polyolefin and alloy thereof, comprising the following blended components: oligomer and polyprotic acid, wherein the molar ratio of the oligomer to the polyprotic acid is from 1:0.1 to 1:10; the oligomer is linear or short branched chain oligomer, of which the molecular weight is from 2000 to 20000, and two ends or one end of the oligomer is provided with polar end groups or a polar end group; and the polyprotic acid is organic polyprotic acid or inorganic polyprotic acid. The processing agent has the advantages of small volume of addition, short effective time, favorable viscosity effect and the like when used in the polyolefin and the alloy thereof. By adopting an acid modifying method of acid modification, the heat resistance of the oligomer is improved so that the decomposition problem is not existed under the normal processing temperature and the product can not fade.

The invention discloses a sewage treatment system for printing and dyeing, which aims to solve the problem that the traditional sewage treatment system has poor decomposition effect on organic matters in sewage. Sewage is sequentially passed into the hair removal tank, collection tank, adsorption sedimentation tank, hydrolysis tank, aerobic tank, degassing tank, sedimentation tank, intermediate tank, dosing tank, air flotation tank, activated carbon tank, secondary sedimentation tank and reclaimed water return Use equipment to physically, chemically and biologically decompose the sewage generated by printing and dyeing. The sewage treatment system for printing and dyeing of the present invention has more thorough and efficient decomposition, thereby completing the systematic treatment of printing and dyeing sewage, effectively solving the problem of sewage discharge, and making contributions to emission reduction and environmental protection.

The invention discloses a sparse gene expression data analysis method based on the truncated power. The method specifically includes the steps that a gene data set is preprocessed, namely, the gene data set is regularized, the number of principal components is determined according to a principal component analysis method, and the cardinal number of the principal components is determined in the combination of local iteration; features of gene data in the gene data set processed through the first step are extracted, interference of the data is reduced, and the clustering accuracy in the following procedure is improved; the gene data with the extracted data features are processed according to a clustering method; a clustering processing result acquired through the third step is compared with the set clustering accuracy, adjustment and optimization parameters of sparse dimensionality reduction are fed back and adjusted, and therefore the optimal clustering accuracy is achieved. The method achieves the purpose of sparse feature value decomposition and is used for sparse principal component analysis, the principal component explaining capacity is high, the operation speed is high, a sparse principal component method can be well verified, and the efficiency and the accuracy of gene data analysis are improved.

The invention discloses a method for decomposing particle beam fluence into pencil beams based on an optimization algorithm. Particle beams are decomposed into small pencil beams based on the radiotherapy dose calculation demand of a pencil beam algorithm. The pencil beams are generally distributed in a Gaussian type. The total dose distribution is the summation of the dose distribution of each pencil beam. The method is the method by which the particle beam fluence decomposing problem in radiotherapy dose calculation of charged particles (such as proton and heavy ions) is solved, and the problem is solved by using the optimization algorithm. According to the method, the fluence distribution of the particle beams is obtained through measurement of a detector, then the particle beams are decomposed into a plurality of pencil beams based on the optimization algorithm, and the center position, size and weight of each pencil beam are obtained. The method is wide in applicability. Compared with the original distribution, the total fluence distribution after decomposition is higher in fitness; or under the same error condition, the number of the decomposed pencil beams is lower; and the radiotherapy dose calculation speed or precision of the particle beams can be greatly improved.

The invention relates to the technical field of fishery cultivation, in particular to a fishery cultivation water purification device which comprises a casing (1), a through water assembly (2), a catalytic cracking assembly (3) and a regeneration assembly (4). A cavity is disposed in the casing (1). The through water assembly (2), the catalytic cracking assembly (3) and the regeneration assembly (4) are arranged in the cavity in the casing (1). The fishery cultivation water purification device has the advantages that a decomposition problem of perchlorate in the water body is solved, the catalytic cracking assembly and the regeneration assembly are arranged, so the catalytic cracking assembly can be reused for a long time, and the cost is reduced while the use is facilitated. A self-control assembly is arranged to implement remote automatic control.

The invention belongs to the technical field of quantum computing, and particularly relates to an integer decomposition optimization method and system based on a Grover quantum computing search algorithm. The method comprises the following steps: simulating a quantum bit line, and enabling an input ground state to be converted into a superposed state through Hadamard transformation; converting aninteger decomposition problem into an optimization problem, expressing integers to be decomposed and prime factors of the integers by using a binary system, and constructing a binary multiplication table; obtaining a binary multiplication equation set according to the binary multiplication table, and simplifying the equation set by introducing constraint conditions; setting iteration conditions, converting the simplified equation into a Boolean logic relationship, and constructing a quantum black box; reversing the target state amplitude relative to the average amplitude by using the unitary matrix, and increasing the probability of searching the target item; and changing the probability of searching the target item through repeated iteration until the probability of searching the target item is optimal. A good calculation effect can be achieved, an acceleration effect is particularly obvious in a large-scale search problem, and the method and the system have a good application value.

The invention provides a parameter self-learning interference suppression method based on an expanded deep network. The method comprises the steps of carrying out the short-time Fourier transform of an original echo signal containing interference, obtaining a time-frequency spectrum data matrix, carrying out the sub-block segmentation of the time-frequency spectrum data matrix, building the expanded deep network, taking the training set as the input of the expanded deep network for training, and substituting the training set into a verification set at the same time for model evaluation to obtain an optimal training model; and inputting a test set into the model with optimal training to identify and analyze the interference echo matrix. According to the method, interference is effectively separated and subjected to signal reconstruction, an original unsupervised decomposition problem is converted into a supervised neural network learning problem, the number of iterations is greatly reduced, algorithm hyper-parameters can be obtained through self-adaptive solution, the network does not depend on a large number of data sets any more, and the possibility of over-fitting of the training network under a small data volume is also avoided.

The invention provides a method used for electrochemical reduction preparation of diethylenetriamine from iminodiacetonitrile. According to the method, in an electrolytic tank, iminodiacetonitrile dissolved in a cathode liquid is subjected to electrolytic reaction on a cathode to produce diethylenetriamine. Electrochemical reduction is adopted, iminodiacetonitrile can be converted into diethylenetriamine at high selectivity, and generation of secondary amines such as piperazine is avoided. Iminodiacetonitrile is stable at partially acidic conditions, so that iminodiacetonitrile decomposition problem in the prior art is avoided, problems in the prior art that catalyst positioning is caused by iminodiacetonitrile decomposition products and continuous reaction is impossible to realize are solved. The reaction conditions are mild; diethylenetriamine product yield is high; product separation technology is simple; and industrialized application prospect is promising.

The invention discloses an implementation method of a systolic array structure for LU decomposition. The systolic array structure comprises an arithmetic unit array for calculating an upper triangularmatrix, an arithmetic unit array for calculating a lower triangular matrix, and a state controller module for controlling data input. Compared with an existing operation structure, the implementationmethod has the following innovations that (1) matrix data is input in parallel according to lines, and an input sequence does not need to be planned; (2) the dividers are independently extracted fromthe array processing unit, so that the number of the dividers is reduced, and the resource utilization rate is improved; (3) the pulsation array is partially parallelized, and the number of clock cycles required by operation is reduced while maintaining high pipelining; and (4) the high-dimensional systolic array structure designed by the invention can be compatible with lower-dimensional matrixLU decomposition, so that the same structure can be shared by matrixes with different dimensions, and the redesign of the structure is avoided. The implementation method can be applied to hardware implementation of matrix decomposition problems in the fields of signal processing, numerical analysis, artificial intelligence and the like.

The invention discloses a photovoltaic assembly, which comprises a laminated part and a frame which wraps the side edge of the laminated part. The laminated part successively comprises a front plate,a front packaging material, a battery layer, a rear packaging material and a rear plate from top to bottom. The rear plate is a metal plate which is subjected to insulation treatment. The photovoltaicassembly adopts the rear plate made of metal materials, so that the thickness and the weight of the photovoltaic assembly can be further reduced. The water vapor blocking property of the metal materials is excellent, so that the decomposition problem of the packaging materials due to the water permeability can be further effectively avoided. The thermal conductivity of the metal materials is relatively good, so that the heat generated during the power generation of the photovoltaic assembly can be dissipated into the air at the most fast speed by adopting the metal materials. The power generation efficiency of the photovoltaic assembly is improved. The rigidity of the metal materials of the rear plate is utilized, and the front plate of the photovoltaic assembly can reduce thickness or strength requirements. The overall weight of the photovoltaic assembly is reduced. The photovoltaic assembly is low in weight and high in performance. The overall cost of the photovoltaic assembly is reduced, and the method has a good application and popularization prospect.