61results about How to "Exact decomposition" patented technology

A proximity detection system for determining when a single channel receiver becomes proximate to any point on a wireless closed boundary continuously generated by a transmitter. The transmitter includes a magnetic field generator broadcasting a composite, modulated, time-varying magnetic field signal of a particular carrier frequency. The receiver forms a measure of the broadcast magnetic field intensity incident to the location of the receiver or a measure of the power or energy of incident field.

The invention provides a regional division method for satellite observation. The method comprises the follow steps of: step 1, determining the effective region of a target region; step 2, determining a maximum observation lateral swinging angle and a minimum observation lateral swinging angle corresponding to the effective region; step 3, making a current lateral swinging angle equal to the minimum observation lateral swinging angle, and emptying a result sub region set; step 4, adding the current lateral swinging angle into the result sub region set; step 5, adding a set granularity angle to the current lateral swinging angle; step 6, turning to step 4 if the sum of the current lateral swinging angle and the granularity angle is smaller than the maximum observation lateral swinging angle, and otherwise, turning to step 7; and step 7, adding the current lateral swinging angle into the result sub region set so that the effective region is divided into observation strip belts corresponding to each lateral swinging angle in the result sub region set. The regional division method overcomes the limitation of the Gaussian projection on task longitude differences, the accuracy is higher, and in addition, the regional division method is suitable for the target region observation by a plurality of satellites.

The invention discloses a model training method. The method comprises the steps that training batch data is acquired, the training batch data comprises a plurality of training samples, for each training sample, identity features and age features corresponding to sample images are acquired through a feature extraction module, and typical correlation mapping variables corresponding to the features are acquired through a typical correlation mapping module; based on the typical correlation mapping variables corresponding to the training samples, counting correlation coefficients corresponding to the training batch data through a batch correlation coefficient measurement module; performing joint supervised learning through an identity discriminator and an age discriminator, performing decorrelation training of identity features and age features through correlation coefficients, and performing training to obtain a feature extraction module meeting a training target. And based on the decorrelation-based adversarial learning, the correlation between the identity features identified by the feature extraction module and the age features is extremely low, so that the identification precisionis improved. The invention further discloses a cross-age face recognition method, a corresponding device, equipment and a medium.

The invention belongs to the field of seismic signal processing and is a seismic signal noise suppression method based on CEEMDAN and Savitzky-Golay filtering. The method comprises following steps: providing a noisy seismic signal to be processed as an original noisy seismic signal s(t) (t=1,...,L) input to the entire system, wherein L is the sampling point of the seismic signal; performing CEEMDAN algorithmic decomposition on the input noisy seismic signal s(t) to obtain multiple IMF components as shown in the description and residual components rN(t); arranging the IMF components as shown inthe description from high frequency to low frequency sequentially, and determining a boundary M between the noise and the signal by calculating the correlation coefficient between the IMF component and the original noisy seismic signal s(t); finding the IMF component as shown in the description which mainly contains noise signal in the IMF component, the IMF component which contains noise signalas shown in the description serving as an input signal and sending to the SG filter for further smoothing to obtain the filtered signal as shown in the description; and reconstructing the data to obtain a denoised seismic signal as shown in the description. According to the seismic signal noise suppression method based on CEEMDAN and Savitzky-Golay filtering, the mode mixing problem in the mode decomposition method based on traditional experience can be solved; the quality of the seismic signal is improved; and seismic data with a higher signal-to-noise ratio is obtained.

A method of measuring the state of flow above an airfoil using an estimation of the velocity field based on a combination of Particle Image Velocimetry PIV and multiple surface pressure measurements processed through a POD/mLSE algorithm. Integral to the POD/mLSE algorithm is the estimation of the global POD coefficients. The utility of these time dependent coefficients, which are estimated from surface pressure only, are demonstrated in a simple proportional feedback loop (as the time series to drive the actuators) to keep the flow attached. This method requires realistic feedback flow control since surface measurements and not inflow measurements are required for practical applications. The estimation method works well with dynamic strain on flexible bodies and is not limited to estimation from pressure only.

The embodiment of the invention discloses a method for predicting output power of a photovoltaic power generation system, variation mode decomposition is performed on historical output power data of the photovoltaic power generation system in a preset time period, an extreme learning machine prediction model is built according to a plurality of decomposition components obtained by decomposition and corresponding meteorological data, a prediction result of each decomposition component is calculated according to the extreme learning machine prediction model, and a sum of the prediction results is used as a prediction result of the output power of the photovoltaic power generation system. A variation mode decomposition algorithm has good noise robustness and non-recursiveness, and selection of reasonable parameters can effectively avoid a mode aliasing phenomenon, thereby obtaining a high-accuracy decomposition signal, and facilitating improvement of prediction accuracy; and the characteristics of good generalization performance and fast learning speed of an extreme learning machine can further improve prediction precision and prediction efficiency. In addition, the embodiment of the invention also provides a corresponding realization device, which further enables the method to have practicability, and the device has corresponding advantages.

The invention discloses a decomposition method of image texture and structure based on a total variational model of a guide map, belonging to the technical field of image processing. According to theinvention, firstly, the local main structure of the image is reconstructed based on the guide image filter, then the texture descriptor is calculated according to the reconstructed local structure image, finally, the accuracy and computational efficiency of texture and structure decomposition are improved by combining the multi-scale total variational model and block translation method. The technical scheme of the invention can obtain better texture/structure decomposition effect for noisy images, the textures and structures of different scales can also be decomposed accurately, and the decomposed structure layers can keep the original shading of the image, avoiding the blurring of the structure caused by local smoothing or the color block effect caused by the global optimization method. In addition, the technical proposal of the invention needs to extract simple features, and does not depend on learning a large number of image samples.

The invention discloses a method for decomposing and reconstructing a current instantaneous sequence component of a triangular connection current transformer. The method comprises the steps that S1, an instantaneous sequence component decomposition algorithm model is built, and the positive sequence component and the negative sequence component of a fundamental wave and the positive sequence components and the negative sequence components of all subharmonic waves are made to be completely decoupled and decomposed under a synchronous coordinate system; S2, the component correlation coefficients am<(1)> and am<(2)> of the m subharmonic waves is obtained; S3, the compensating current reference values of all triangular link current controllers are reconstructed to obtain the reference currents of all triangular links, and the reference currents are used for current tracking and control of the triangular current transformer. The method has the advantages that the positive sequence component and the negative sequence component of the current of the fundamental wave and the positive sequence components and the negative sequence components of the currents of all the subharmonic waves can be effectively extracted, and load currents and all triangular link currents can be decomposed and reconstructed accurately and fast. The accurate compensating current reference values are provided for the triangular connection current transformer, the number of times of harmonic compensation can be selected flexibly, and the defects that a traditional sequence decomposition algorithm is large in calculated amount and only fundamental components are considered are overcome.

In a sound field control apparatus including multiple speakers, multiple microphones gathering sound radiated from the multiple speakers, a mode decomposition filter that performs mode decomposition on a sound pressure distribution, and a control filter that controls the input signals to be input to the multiple speakers such that the mode amplitudes of the modes decomposed by the mode decomposition filter can have a predetermined value, a sound pressure distribution in the acoustic space is measured, and the sound pressure distribution in the acoustic space is expressed by using a sinusoidal function and cosine function of a space frequency of the mode to be controlled in amplitude. The mode space frequency is corrected such that the expressed sound pressure distribution can be equal to the measured sound pressure distribution, and the filter coefficient for the mode decomposition filter is determined based on the mode space frequency obtained by the correction (corrected mode space frequency).

The invention discloses an image fusion method based on cosine modulation filter group. The original inputted image is decomposed into sub-band signals with cosine modulation analyzing filter group, then calculates the fusion measuring index of each sub-band image with measuring index based on local contrast, carries on fusion operation to these sub-band signals according to fusion rule that selecting the maximal fusion measuring index and acquires a group of new fused sub-band signals, and carries on consistency check to the sub-band image being fused, finally, acquires the fused image with synthesized filter group. The invention upgrades the quality of the fused image greatly.

The invention relates to a simulation method for variation modal decomposition parameter optimization. The method comprises the following steps: constructing an analog signal; using a genetic algorithm to improve a particle swarm algorithm to optimize variational mode decomposition, and calling as PSOGA-VMD; using wavelet transform analog signal components to perform time-frequency analysis, and comparing the time-frequency analysis with analog signal set frequency characteristics to detect decomposition precision.

The invention, which belongs to the technical field of spectrum detection, particularly relates to a plasma emission spectrum interference correction method. Calculation is performed based on other characteristic spectrum line information of a corresponding element of an interference line B in a corrected spectral segment 20 to obtain a spectrum line intensity of the interference line B; and thusa to-be-analyzed spectrum peak 11 is decomposed conveniently to obtain a spectrum line intensity of an analysis line A, thereby completing e correction of the spectral interference. The method has thefollowing technical effects: the spectrum line can be decomposed accurately based on the intensity relationship of the same type of emission spectrum lines in a same ion state in the plasma emissionspectrum theory and the detection and calculation of the emission intensity of the spectrum line being easy to affect are realized, so that the accuracy of the component detection result is improved and the detection element range is extended. Therefore, the application range of LIBS technology is further expanded.

The invention relates to the field of machining, in particular to a trial cutting device for the analysis of workpiece surface quality problems and an analysis method. The trial cutting device comprises a base, wherein the base is rectangular, and an X-axis test component, a Y-axis test component, a Z-axis test component, an A-axis test component, a B-axis-C-axis test component and an origin hole are arranged on the base; the X-axis test component, the Y-axis test component and the A-axis test component are all parallel with the edges of the base; the X-axis test component is arranged on the edge of the base, and the Y-axis test component and the A-axis test component are separately arranged on the edges, adjacent to the X-axis test component, of the base; the Z-axis test component is a bulge with a trapezoidal longitudinal section and is arranged in the middle of the base; the origin hole is formed in the middle of the top plane of the Z-axis test component; and the B-axis-C-axis test component is a ring and is arranged between the Z-axis test component and the X-axis test component and between the Y-axis test component and the A-axis test component. Through the independent processing of coordinates, workpiece surface quality problems caused by complicated multi-axis simultaneous processing are solved, and the accurate and rapid positioning of failure reasons is realized.

In a method of filtering an image with bar-shaped structures by means of Gabor filters, which are formed in the spatial domain by a two-dimensional Gaussian bell-shaped curve on which a cosine function is superimposed in a main direction, the image is divided into tiles, a predominant direction of the bar-shaped structures is determined for each tile and the filtration is undertaken in such a way that one tile at a time is rotated until the predominant direction lies at right angles to the main direction of the Gabor filter, one filtration takes place in the main direction and another filtration takes place at right angles to this, and the filtered tile is rotated back again.

The arc-shaped pipeline construction method comprises the following steps that pipe sections with different arc lengths are subjected to lofting and splitting in a BIM drawing with tee joints, reducing joints and connecting points with different radians as breakpoints; after pipeline lofting is completed, the arc length and the radius of each split arc-shaped pipeline are counted and then delivered to a processing factory to be processed; after arrangement of all the arc-shaped pipelines in the BIM drawing is completed, in combination with the interval requirement of the anti-seismic supports and hangers, point distribution is deeply conducted on the shared supports, and the supports on the arc-shaped pipelines are required to be perpendicular to the arc-shaped pipelines; after support point distribution is completed, the positions of the supports are accurately positioned through accurate paying-off of the BIM paying-off robot; and the arc-shaped pipeline subjected to cold bending machining in the factory is conveyed to the site and conveyed to the corresponding position to be assembled according to the marked number, and the combined pipe sections are hoisted. The construction period of the arc-shaped pipeline can be greatly shortened, and the arc-shaped pipeline is good in forming, neat and attractive.

The invention discloses a pontoon bridge lower transverse connecting device. The pontoon bridge lower transverse connecting device comprises a lower transverse plate pin and a lower transverse plate pin seat. The lower transverse plate pin and the lower transverse plate pin seat are arranged on two adjacent pontoon bridge units; and the lower transverse plate pin can rotate in a horizontal plane,is inserted into the lower transverse plate pin seat after rotating by a set angle to achieve transverse connection between lower portions of two pontoon bridge units, and is screwed out of the lowertransverse plate pin seat after rotating by a set angle reversely to achieve unlocking of the two pontoon bridge units.

The invention discloses a knowledge question and answer intelligent search method based on block decomposition, and the method comprises the following steps: preprocessing knowledge data imported into a database, and converting the knowledge data into a triple data set of structured data; coding the triple data set of the converted structured data by adopting One-hot coding; segmenting the data set into a training set and a test set, and constructing a knowledge question and answer intelligent search model by adopting a BTD tensor decomposition algorithm. According to the method, the three-order binary tensor problem is converted into a three-order binary tensor problem in mathematics, the missing subject or object entity can be predicted, all real triple subsets are used for learning embedding vectors of entities and relations, the method is more generalized decomposition based on mathematical tensors, and formed factors can be decomposed more accurately. According to the method, under the characteristics of low search accuracy and poor user search experience, search complementation can be performed in a more accurate manner after a large amount of data training, so that an efficient and accurate search system is realized.