109 results about "Vector decomposition" patented technology

The invention belongs to the field of exploration geophysics and particularly relates to an elastic seismic wave field forward modeling method. The seismic forward modeling method includes the steps of firstly, according to the principle of wave field vector decomposition, decomposing a seismic wave field into a longitudinal wave field and a transverse wave field and respectively calculating corresponding propagation matrixes of the longitudinal wave field and the transverse wave field; secondly, according to the principle of low-rank decomposition, decomposing the propagation matrixes to obtain propagators of vector longitudinal wave and vector transverse wave so as to reduce calculation amount of numerical simulation to improve calculation efficiency; and thirdly, coupling updated records of the vector longitudinal wave and the vector transverse wave acquired after the numerical simulation so as to obtain a forward modeling result of the seismic wave field. The calculation precision is high due to the fact that the propagation matrixes include compensations to medium parameter and numerical simulation parameter. Numerical dispersion of seismic wave field records acquired by the forward modeling method is nearly eliminated and stability of the numerical simulation is high; accordingly, the forward modeling method is a high-precision elastic wave field numerical simulation method.

The invention discloses a bionic hair sensor for being sensitive to flow velocity and accelerated velocity vectors and a detection method thereof; the bionic hair sensor includes a top polymer hair, a middle annular silicon micro-sensor structure, and a bottom signal wire prepared on a glass substrate. When acted by an external accelerated velocity or fluid, the top hair drives a round mass block and an annular mass block in the annular silicon micro-sensor structure to swing; with use of a negative stiffness effect principle of an electrostatic force, and through swinging of the round mass block and the annular mass block in the annular silicon micro-sensor structure, resonant frequencies of resonators arranged around the round mass block and the annular mass block are caused to be changed, and values of the flow velocity and the accelerated velocity are detected; with use of a coupling structure of the mass block and the annular mass block, the swinging direction of the top hair is subjected to vector decomposition, and the vector direction of the accelerated velocity or the fluid velocity is detected.

The invention discloses a controllable dynamic shape interpolation method with physical third dimension. According to the method, a rotation-strain space definition is provided, and a set of conversion mode from a three-dimensional model to a rotation-strain space coordinate is established, so that the primary nonlinear deformation can be expressed by linear operation of the coordinate in the rotation-strain space; and the method greatly reduces the algorithm complexity and improves the solving efficiency by combining the traditional mode shape decomposition to perform dimension reduction. The method comprises the following steps of: decomposing a base vector acquired by the traditional mode shape decomposition into rotation and strain parts, and constructing a deformation subspace by using rotation-strain corresponding to the main component bases; obtaining a rich dynamic deformation effect by editing and regulating mode shape coordinate motion interpolation curve parameters in the subspace; and finally, obtaining a new model pose sequence through a reconstruction process according to the interpolated mode shape coordinate.

The invention relates to the technical field of information security and optical information processing, and aims to greatly reduce the complexity of an encryption system. The security of the system is improved, and common cryptography attacks can be effectively resisted. Therefore, the single-channel color image encryption method based on vector decomposition and phase encoding comprises the following steps: (1) an image encryption part: firstly decomposing a color image to be encrypted into three color channels, namely red R, green G and blue B; Carrying out first three-dimensional chaotic random phase mask modulation on the synthesized grayscale image, carrying out first Gyrator transformation on the modulated image, and then carrying out second Gyrator transformation on the modulated image, so that the transformed image is a final encrypted image; And (2) an image decryption part: firstly, carrying out inverse transformation of Gyrator transformation for the second time on the encrypted image, and integrating the three color channels together to obtain a decrypted color image. The method is mainly applied to an optical information encryption and decryption processing occasion.

The invention provides a method for determining duty ratio of universal pulse width for control of a three-phase AD motor PWM (pulse width modulation). The method comprises the following steps: determining normalization three-phase current set values Ia, Ib and Ic of the three-phase AD motor; calculating each two-phase current difference Iab, Ibc and Iac according to the normalization three-phase current set values Ia, Ib and Ic; calculating the maximum value max{|Iab|, |Ibc| and |Iac|} of absolute values of each two-phase current difference; determining the duty ratios ka, kb and kc according to three conditions of the max{|Iab|, |Ibc| and |Iac|} through four arithmetic operations. Compared with the conventional six sector vector decomposition method for determining the duty ratio of three-phase pulse, the method has the same result; but because of simple process and prevention of complicated vector determination and trigonometric function operation, the method has less realized code amount, small occupied hardware resources and high operation efficiency, can realize multiple PWM control modes including control modes of SPWM (sine pulse width modulation) and SVPWM (space vector pulse width modulation), and is particularly applicable to high-precision SVPWM control of the three-phase AD motor.

An early warning method for abnormity of the whole lateral load resistance performance of a large-span bridge structure comprises the following steps that (1), data acquisition is carried out on the three-dimensional wind field and the GPS displacement effect of the midspan position of a main beam; (2), vector decomposition and mean processing are carried out on the collected data, and static wind speed sequences and static displacement sequences in the transverse direction of the bridge are obtained; (3), the static wind speed sequences and the static displacement sequences are divided according to months, and a main correlation sequence of the static wind speed sequences and the static displacement sequences on the same month is determined by the utilization of wavelet packet cross correlation coefficients; (4), Fourier series fitting is carried out on the main correlation sequences on all the months in sequence, and the abnormity of the whole lateral load resistance performance of the large-span bridge structure is warned easily by the utilization of the month change characteristics of the fitted parameter values. The early warning method for abnormity of the whole lateral load resistance performance of the large-span bridge structure based on the measured wind load effect makes up for the blank in the research on the aspect of the early warning of the abnormity of the whole lateral load resistance performance of the large-span bridge structure and can provide important reference for monitoring and analyzing the whole lateral load resistance performance of the large-span bridge structure.

The invention discloses a method for determining shortest route of network on RDT sheet. The present method requires multitime circulating calculation, so that the time consumption is big. The inventive method comprises the steps: building a coordinate system for the RDT network and determining the node number and the position of the communication node at first, then determining the mirroring superset M'(d) of the target node D and determining the optimal supper mirror point and building the X1-Y1 coordinate system, determining the vector decomposition result between the S and the M by using a VR method, storing the route project between the S and the D, starting the fault tolerance treatment mechanism. The invention effectively combines the advantage of the VR route method with the advantage of the CCVR route method, at the same time, overcomes the respective defect, can obtain the shortest route of any two points in the network on the RDT(n,1) sheet in the lesser calculation consumption. The fault tolerance mechanism provided by the invention can better solve the problem that the performance is lower in the present method.

The invention discloses a method for determining transverse dynamic displacement of a girder of a large-span bridge structure. The method includes the following steps that (1), GPS displacement monitoring data in a girder span are collected; (2) vector decomposition and mean value processing are conducted on the monitoring data to obtain transverse dynamic displacement data; (3) fitting is conducted on the power spectral density of the transverse dynamic displacement data by the adoption of the Gaussian series; (4) the harmony superposition method is used for obtaining the dynamic displacement fitted value of the girder. According to the method, a mathematical modeling method is used on the basis of the monitoring data, and transverse dynamic displacement of the girder can be determined more accurately.

The invention provides an equal-mode vector decomposition image encryption analysis method based on a novel full convolutional network. The method comprises four parts of an encryption system based onequal-modulus vector decomposition, a network model of encryption analysis and network training and encryption system analysis. A designed encryption analysis network model is trained by inputting aplaintext-ciphertext pair, and then a ciphertext image is input through the trained encryption analysis network model, so that an attack analysis result, namely a recovered high-quality plaintext image, can be obtained. Compared with a traditional attack method, the provided encryption analysis method has the advantages that effective encryption analysis can be realized without knowing an encryption secret key or a private key, other encryption system parameters and the like, and a high-quality plaintext image can be recovered; the provided deep learning method is short in training time, and the training speed is increased by 7 times compared with a traditional method; the method provided by the invention has good generalization ability, and one image library can be adopted for training while the other image library can be adopted for successful testing; finally, the method also has good robustness for noise and clipping in transmission.

The present invention discloses a bin automatic frequency-adjustment anti-clogging machine, including an arch eliminating plate, a shock wave unit, a bin wall, bin holes, a shock wave device, a chute,solid rubber springs, hollow T-rubber springs, a bin bolt, shock blocks, a shock wave string, and a shock wave adjusting button. The characteristics of the machine are as follows: vector decomposition is performed on an arched adhesive wall, low frequency vibration is subjected to kinetic momentum buffering, asynchronous multiplication for kinetic momentum conduction is realized, the whole material molecular structure is changed, resonance splitting is generated, and bin cleaning and clogging prevention are realized. The machine can be installed on storage bins, buffering bins, front furnacebins, raw coal bins, clean coal bins, under-shaft bins and standby coal bins, replaces air cannons, bin wall vibration machines, glass-ceramic plates, high molecule plates, loosening machines, rotaryloosening machines, blasting and artificial cleaning modes, saves manual operation and cost, and can facilitate dispersion.

The invention discloses a high-modulation-ratio voltage-sharing method for a diode-clamped five-level inverter. According to the high-modulation-ratio voltage-sharing method for the diode-clamped five-level inverter, twelve peaks of a hexagon of the second layer of a diode-clamped five-level inverter vector diagram are used as centers, the five-level vector diagram is divided into twelve two-level vector diagrams, and 18 triangular areas are obtained through area division. Twelve vector sequences are established in each triangular area, the direct-current side capacitor voltage is controlled to be balanced through combination of the objective function optimization method and the inner hexagon vector decomposition method. Algorithm switching is conducted through the setting of a voltage error hysteresis; the objective function optimization voltage-sharing algorithm is applied when the voltage error is within the hysteresis; the inner hexagon vector decomposition voltage-sharing algorithm is selected so as to enable rapid voltage balance to be achieved when the voltage error exceeds the hysteresis. According to the high-modulation-ratio voltage-sharing method for the diode-clamped five-level inverter, the direct-current side capacitor voltage balance control over the diode-clamped five-level inverter at the high modulation-ratio is achieved, and the inverter has good harmonic characteristics.

The invention provides an asynchronous motor control method based on slip frequency limitation. The asynchronous motor control method comprises the following steps: calculating a slip frequency in closed loop vector control, and if the calculated slip frequency exceeds twice of a rated slip frequency, carrying out amplitude limiting processing on the slip frequency; calculating the slip frequency in open-loop vector control, and if the calculated slip frequency exceeds twice of the rated slip frequency, carrying out amplitude limiting processing on the slip frequency; simultaneously, obtaining an estimated speed value by adopting a speed estimation algorithm, if the estimated speed value is out of the ranges of two fluctuated rated slips of a set speed value, carrying out amplitude limiting processing on the estimated speed value. According to the asynchronous motor control method, the slip range is determined through the relationship between the torque and the slip; the slip frequency calculated by motor parameters is subjected to amplitude limiting processing, and thus an excessive deviation between the estimated speed value and an actual speed value, and an excessive deviation of a vector decomposition angle are avoided at any time; the anti-jamming capability is effectively improved; the reliability of a product is improved.