409 results about "Matrix model" patented technology

The invention provides an SAR image registration method based on SIFT and normalized mutual information. The method includes the steps that firstly, a standard image I1 and an image to be registered I2 are input and are respectively pre-processed; secondly, features of the pre-processed image I1 and features of the pre-processed image I2 are extracted according to the MM-SIFT method to acquire initial feature point pairs Fc and SIFT feature vectors Fv1 and Fv2; thirdly, initial matching is carried out through the Fv1 and the Fv2; fourthly, the Fc is screened for the second time according to the RANSAC strategy of a homography matrix model, final correct matching point pairs Fm are acquired, and a registration parameter pr is worked out according to the least square method; fifthly, I2 is subjected to space conversion through affine transformation, and a roughly-registered image I3 is acquired through interpolation and resampling; sixthly, pr serves as the initial value of normalization information registration, I1 and I2 are subjected to fine registration through the normalized mutual information method, a final registration parameter pr1 is worked out, and a registered image I4 is output. The method can be quickly, effectively and stably carried out, and SAR image registration precision and robustness are improved.

A method for sparse channel estimation in MIMO OFDM systems with a plurality of subchannels having the same sparsity structure is presented. The inventive method comprises initializing a plurality of residual vectors and observation generating matrices modeling the channel, sending a pilot signal for each subcarrier, converting the pilot signals to tap positions, detecting an optimal tap position, updating the residual vectors by removing the one residual vector having the optimal tap position, updating the generating matrices in accordance with the optimal residual vector, calculating weighted residuals based on the updated residual vectors, and repeating the steps, except initializing, until a stopping condition is met, wherein the updated observation matrices estimate the sparse channel. In one embodiment, the observation generating matrices are omitted. In one embodiment, multiple vectors are removed during one iteration. Pilot placement and pilot allocation techniques are presented to optimize the method.

The invention provides an impedance network modeling and stability analysis method based on a synchronized reference coordinate system, comprising the following steps of S1: collecting machine network parameters of the target system; S2: calculating the power flow according to the the machine network parameters to obtain the initial value of the state variable for constructing an impedance matrix model of each device in the system; S3:establishing the impedance matrix modeling of each device in the system according to the initial value of the state variable; S4: transforming the impedance matrix model of each device in the system into the coordinate system of the whole network system; S5: constructing the impedance matrix model of the whole system; S6: aggregating the impedance network model into the combined impedance matrix; S7: carrying out the oscillation stability analysis according to the combined impedance matrix. The invention can realize the impedance network modeling of the multi-converter large power grid, and has the advantages of wide application range, clear physical meaning, simplicity, and high efficiency.

The invention provides a multi-scale rock physical charting method and device for detecting reservoir hydrocarbon. The method comprises the steps as follows: obtaining a reservoir rock matrix model and a reservoir rock framework model; acquiring a liquid-containing rock model according to the reservoir rock matrix model, the reservoir rock framework model and liquid parameters; obtaining a multi-scale initial reservoir rock physical chart according to the liquid-containing rock model; correcting the initial reservoir rock physical chart under a plurality of frequency bands according to the rock physical experimental data: correcting the initial reservoir rock physical chart under an acoustic logging frequency band based on the logging interpretation result; correcting the initial reservoir rock physical chart based on the seismic interpretation result; and outputting the final reservoir rock physical chart after the correction, so as to carry out inversion of a reservoir rock physical parameter. With the adoption of the method provided by the invention, the precision of the rock physical chart can be increased, and the quantitative inversion of the rock parameter and the saturation of the liquid can be realized.

The invention discloses a matrix-model-based software testing method. The matrix-model-based software testing method comprises the following steps: a) dividing a software system according to function modules; b) splitting and combining the function modules to form layer-level function test points; c) establishing a test case set by structuring a covering matrix for all layer-level function test points, so that each valid value of any pair of input parameters in each level of function test point is coated with at least one test case, wherein in the step c), for the function test point with less than or equal to three input parameters and valid values, the two-coverage test case set is directly established by Latin square. In the matrix-model-based software testing method, by extracting the function test points and matrixing the function test points, the optimal test case set is obtained through matrix calculation, so that the coverage rate, the testing efficiency and the testing accuracy can be improved all around, a testing need of a large software system can be met and the testing cost can be reduced.

The invention discloses a target detection algorithm in combination of a statistical matrix model and an adaptive threshold. The target detection algorithm comprises the steps of initializing a background image through the front frames of a video; initially extracting foreground by the background subtraction method; continuously accumulating the occurrence times of pixel points with small pixel value variation amplitude in the foreground area by the frame difference method; storing the times of accumulation variation of the corresponding pixel points through a statistical matrix; updating the current foreground as the background point when the times exceed a certain value so as to obtain the accurate background image for the subsequent background subtraction method; then performing binarization segmentation through the adaptive threshold to obtain a target area; the binarization threshold of each pixel point is determined according to the difference value between all the current pixel values and the background pixel value in the point window. With the adoption of the algorithm, the background can be quickly updated, and the target can be accurately detected.

The invention discloses a network attack path analysis method based on incidence matrixes, which is characterized in that potential attack paths in a network system are acquired by acquiring network topology information, threat information and vulnerability information of devices and interrelation between the threat and the vulnerability, and building incidence matrix models. The method provided by the invention is utilized to greatly improve comprehensive analysis capacity of network risks and effectively ensure safety of network information systems. The method is applied to large-scale network environments.

The present invention relates to a method and system for personalized recommendation based on label information. The method comprises: generating a three-dimensional table according to the state of marking the identification of each product according to the information of each label corresponding to the identification of each user, establishing a user product interaction matrix model and a product label relation matrix model according to the three-dimensional table; constructing a joint decomposition model corresponding to the user identification, the production identification and the label information according to the user product interaction matrix model and the product label relation matrix model; employing a Bayes personalized ranking method to solve the joint decomposition model to obtain a plurality of parameter values; obtaining the preference degrees of the user identification to the identification of each product according to the parameter values; and selecting the recommendation identifications from the identifications of the products according to the preference degrees, and recommending the information of the products corresponding to the recommendation identifications to terminals whether the corresponding user identifications are located. Therefore, the method and system for personalized recommendation based on the label information can solve the limitation of the data sparsity in the label information to improve the precision of the personalized ranking so as to improve the accuracy of the recommendation.

The invention discloses a network performance analysis method and device for automatic analysis for network performance correlation. The invention also discloses a network failure positioning method and device based on network performance analysis for reducing analysis quantity for positioning network failure, promoting accuracy of positioning result. The network performance analysis method comprises: setting time range, distance range and network attribute according to network performance analysis demand; determining correlated attribute of network attribute according to network fluctuation information in distance range received in time range; establishing specimen matrix model of every network affair according to association of every network affair with related network affair to which network attribute corresponds in time range and distance range; generating network attribute matrix model according to specimen matrix model of every network affair, the matrix model is used for describing network attribute in time range and distance range and probability of occurrence of related attribute.

The invention provides a grid power quality control system and method based on a unified power quality conditioner. The system comprises a series MMC, a parallel MMC and a control circuit. The series MMC and the parallel MMC form a unified power quality conditioner (UPQC) topological structure based on MMC, and are connected to a grid side and a load side through a transformer respectively. The method comprises the following steps: carrying out transformation on an MMC module under an abc stationary coordinate system to obtain a differential equation matrix model under a dq rotating coordinate system; obtaining small-signal models of the series MMC and the parallel MMC under the dq rotating coordinate system; utilizing the parallel MMC to output an offset current and stabilize DC side voltage; and utilizing the series MMC to output an offset voltage. A fundamental wave positive sequence voltage component and a fundamental wave positive sequence current component adopt a PI regulator, and other components adopt a PR regulator to realize non-static-error control, so that compensation is carried out not only for the cases of distortion, harmonic wave and reactive power and the like, but also for the cases of unbalance power source voltage and unbalance load, and the load is allowed to obtain reliable power supply.

The invention provides a projectile separation trajectory captive test system, comprising a separation body model support driving mechanism, a measuring mechanism and a matrix model support mechanism. The separation body model support driving mechanism comprises a rolling control device and a rectilinear motion control device, wherein the rectilinear motion control device comprises a rectilinear driver, tracks, track end universal hinges, connecting rods, a multi-pawl arm and a tail pole, and the plurality of tracks are installed on the experimental section wall of a wind tunnel and are parallel with the central shaft of the wind tunnel; each track is provided with a track end universal hinge through a sliding block; the rectilinear driver and the tracks are all installed outside the experimental section inner wall of the wind tunnel; each track end universal hinge is in connection with a connecting rod; the other end of each connecting rod is in connection with the multi-pawl arm through a universal hinge. The multi-pawl arm is in rigid connection with the tail pole supporting a separation body model. The rolling control device is installed in the tail pole. The projectile separation trajectory captive test system has the characteristics of high rigidity, high position precision and high speed.

The invention discloses a method for simulating offshore oilfield micro fracturing injection increase crack propagation on the basis of fluid-solid-heat coupling theory. The method comprises the following steps that geological characteristic parameters are obtained on the basis of offshore micro fracturing well geological data; a hydraulic crack propagation model is built, and fluid pressure and filter loss in a crack are obtained; on the basis of a reservoir matrix model, dynamically changing pore pressure in a reservoir is worked out; on the basis of elastic mechanics and permeation fluid mechanics, a pore elastic deformation relation between fluid and rock is built, that is to say, a fluid-solid coupling model is built, and by means of the calculated pore pressure, rock strain caused bythe fluid can be obtained; a heat effect relation between the temperature and the rock is built, a strain, porosity, permeability and temperature fluid-solid-heat coupling model is built, the permeability and porosity after coupling change are obtained, the pore pressure after three-field coupling change is obtained, the changed pore pressure reacts on a Darcy filtration model, and the crack extension dynamic of the next moment is obtained. According to construction and geological parameters, the dynamic extension situation of the hydraulic crack and real-time change situation of the reservoir parameters in the offshore micro fracturing well long-term injection increase process can be predicted according to the construction and geological parameters.

The invention discloses a congestion early warning method for an expressway bottle-neck road segment. The congestion early warning method comprises the following steps that data of all toll stations,flow data of vehicles which enter and leave from the stations and mobile phone signaling data of all users who enter the stations in a selected area are collected; OD matrix models of the toll stations and the road resistance coefficients of all paths in all OD pairs are established, and the optimal paths of all the OD pairs are determined; according to the collected mobile phone signaling data, the vehicle speed is evaluated, and the required time when the vehicles run to the bottle-neck road segment is calculated; the flow of the vehicles which reach the bottle-neck road segment in a specific time period is counted, and if the flow of the vehicles exceeds a traffic flow threshold valve of the bottle-neck road segment, congestion early warning is conducted. The congestion early warning method for the expressway bottle-neck road segment has the advantages that the mobile phone signaling data is used for evaluating the vehicle speed and the flow data of entrances of the toll stations, the flow of the vehicles which pass through the bottle-neck road segment in a certain time range is predicted, early warning can be conducted ahead of schedule, and the running efficiency of an expressway can be improved; application of physical detection devices such as ground sensing coils can also be avoided to a certain extent, and the cost is saved.

The present invention relates to a method of simulating the deformation of a viscoelastic material in which filler is blended to a matrix made of rubber or resin, the method including the steps of dividing the viscoelastic material into a finite number of elements to form a viscoelastic material model, a step of performing deformation calculation of the viscoelastic material model based on a predetermined condition, and a step of acquiring a necessary physical amount from the deformation calculation, where the step of dividing the viscoelastic material into a finite number of elements includes a step of dividing at least one filler into a finite number of elements to form a filler model, and a step of dividing the matrix into a finite number of elements to form a matrix model.

Signal impairment correlations for multiple signals in a received multipath signal are constructed by fitting parametric models associated with each high-data-rate signal in the multipath against measured impairment correlations. The estimated model fitting parameters are applied to form impairment correlation estimates for all signals. The models comprise a separate impairment covariance matrix scaled by a model fitting parameter for each high-data-rate signal and a noise covariance matrix scaled by a noise element model fitting parameter. The model fitting parameters may be estimated by a least-squares formulation and applied to form impairment correlation estimates for all signals of interest. The resulting impairment correlation estimates may be provided to G-RAKE receivers or joint scaling demodulators to demodulate the signals while suppressing interference from the high-data-rate signals.

A detector splicing real-time image registration method relates to the technical field of photoelectric image processing. The problems of the existing image registration method, for example, image registration is easily affected by image noise, light intensity, overlap area and the like, and the registration process is complex, are solved. By calculating the splicing imaging overlap area based on the calibration result, the efficiency of feature detection is improved. Based on the calibration result, a matrix model adopted for registration transformation can be selected in a targeted manner. A candidate feature point set of an overlap area image is detected and extracted by a CUDA-based SURF method. Then, initial matching point pairs are acquired by using a CUBLAS accelerated ANN algorithm based on stochastic KD-Tree indexing. A PROSAC algorithm based on global optimization is adopted to eliminate falsely matched point pairs and estimate parameters of a spatial transformation matrix. By adopting the method, an image registration result with better real-time performance, higher precision and stronger robustness is obtained.

The invention relates to a method for controlling a dynamic matrix of a non-self-balance object. A traditional matrix control algorithm cannot directly be used on the non-self-balance object. On the base of the traditional matrix control algorithm, the method combines a method for changing and transferring a matrix for the non-self-balance object and a novel error rectification method, guarantees that control is highly precise and highly stable, and at the same time guarantees simple forms, and meets demands in actual industrial process. The method is adopted to firstly establish a matrix model for the non-self-balance object based on step response data of the object and excavate out a basic object character; and then combines the novel method for transferring the matrix and the method for compensating error to calculate out a parameter of a dynamic matrix controller; and at last complements dynamic matrix control for the non-self-balance object. Means like data collection, model establishment, and mechanism forecasting are adopted in the method for controlling the dynamic matrix of the non-self-balance object, and the method is adopted to effectively improve precision and stability of the control.

The invention discloses an array-type configuration method for tracking-type photovoltaic devices. The array-type configuration method includes the steps of 1), establishing three-dimensional models of the tracking-type photovoltaic devices; 2), establishing rotation transformation models; 3), determining composite rotation transformation models of photovoltaic panels; 4), selecting shadow calculation key points; 5), calculating shadow coordinates of the key points; 6), drawing annual shadow position track lines of the key points and calculating configuration spaces among neighboring photovoltaic devices; 7), acquiring array configuration results of the photovoltaic devices. Complexity in shadow calculation of the tracking-type photovoltaic devices is taken into consideration, shadow transformation matrix models under shining of the sun are structured, the annual shadow position track lines of the key points of the tracking-type photovoltaic devices are calculated and drawn, the minimum configuration spaces among the neighboring photovoltaic devices without shading of shadows are acquired, land occupation area and consumption of building materials for construction of a photovoltaic power station are reduced, and installed capacity and generating efficiency of the photovoltaic power station can be improved.

The invention provides a matrix filling based location fingerprint database construction method. According to the method, the fingerprint data on all reference points can be recovered from parts of known reference points, and various noises and other interference signals are take into consideration. The matrix model established in the invention can acquire various noise matrixes, and by deleting the noise points in the constructed fingerprint database, a good fingerprint data sample source can be provided for indoor positioning algorithm. Compared with existing fingerprint database construction methods based on propagation models and interpolations, the matrix filling based method can well recover the whole fingerprint database by means of a small number of acquisition samples, reduces the fingerprint data sampling workload while enhancing the positioning accuracy, and the model can still exhibit good robustness when it is affected by noises at varying degrees. While ensuring the positioning accuracy, the method also can save fingerprint data acquisition time, and also can eliminate the influence of noise and abnormities in the environment.

The invention belongs to the field of oil gas geophysical exploration and provides a sandstone rock physical modeling method for tight sandstones. The method comprises the steps of constructing a rock core matrix model; constructing a rock framework model; constructing a rock fluid-containing model; and predicting the elastic properties of rocks. The invention provides a novel compact sandstone rock physical model containing different porosity characteristics, wherein the quantitative relationship among the mineral composition, the porosity, the pore type, the fluidity-containing property and rock elasticity parameters is established. The rock core and well-logging data-based calibration fully proves the good application prospect of the model.

The invention discloses a natural language syntactic structure analyzing method and device based on a computer. According to the natural language syntactic structure analyzing method and device based on the computer, the mathematical thought of the composite function is used for conducting analysis on a natural language syntactic structure according to the mathematical principles and corresponding computer techniques in the subjects such as the abstract algebra, the set theory, the combinatorial mathematics and the computational linguistics by establishing a matrix model and a linear model. The natural language syntactic structure analyzing method based on the computer is easy to realize, and the accuracy of the analysis of composite sentence structures can be greatly improved.

The invention discloses a method for controlling traffics among channels in the architecture of a network element based on forwarding and control separation. The method comprises the following steps: (1) a global topological structure inside the whole network element is constructed at a control element end according to information reported by a forwarding element; (2) traffic matrix models for the traffics among the channels inside the network element are established through a Kallman filtering estimation method by using the constructed global topological structure; (3) message transmission rates of the channels inside the network element at a next moment are predicted according to acquired traffic information at a current moment based on the obtained traffic matrix models; (4) reasonable available bandwidth is distributed for each channel by a control element according to the predicted traffic rate of each channel; and (5) the control element updates the global topological structure of the network element, the operation is switched to the step (2) if the topological structure is changed, and the operation is switched to the step (4) if the topological structure is not changed. The method for controlling the traffics among the channels in the architecture of the network element based on forwarding and control separation has the advantages that a bandwidth distribution method capable of avoiding the congestion of the traffics among the channels is achieved, and the requirements for a new-generation network facing the integration of three networks are met.

The invention provides a method and a device for simulating a power electronic system in order to solve the problem of low speed of power electronic system simulation in the prior art. The method comprises the following steps of: calculating variation of a topological structure caused by starting and stopping operation of a simulation system by using a Petri Net matrix model; updating a state equation of a continuous sub system of the simulation system according to information of the variation of the topological structure; and calculating the state equation of the continuous sub system to determine a value of a state variable of the simulation system. By using the technical scheme, the power electronic system simulation can be carried out efficiently.

The invention provides a regional power grid harmonic comprehensive treatment method taking harmonic coupling characteristics into consideration. According to the method, a rectifier is used as an example for analysis, and the harmonic coupling characteristic of the rectifier is inspected through a harmonic coupling admittance matrix model; a nonlinear load model considering the harmonic couplingcharacteristic is obtained, and then a simplified power grid harmonic analysis impedance model mainly considering five-order and seven-order harmonic coupling is established. After the impedance modelis determined, a corresponding command current can be obtained through selection of a proper objective function, and then an online optimization link is introduced, so that a model mismatching phenomenon caused by the change of the power grid parameters due to load switching and the like can be solved, so as to obtain an accurate command output current, thereby obtaining a better treatment effect.

Techniques for reducing the frequency split between the Coriolis-coupled modes in disc resonator gyroscopes (DRGs) by perturbing the mass distribution on the disc resonator based on an identified model are disclosed. A model-identification method of tuning a resonator comprises perturbing the mass and measuring a frequency response matrix of the resonator. The frequency response matrix includes a plurality of inputs and a plurality of outputs and the resonator has a plurality of coupled resonance modes. A reduced structural mechanics matrix model of the resonator in sensor and actuator coordinates is identified from the measured frequency response matrix and analyzed to determine generalized eigenvectors of the structural mechanics model and their variations due to selected mass perturbations which is then estimated to improve degeneracy of the plurality of coupled resonance modes based on the generalized eigenvectors of the mass and the stiffness.

The invention discloses a groove casting technique for a large belt pulley, comprising the following steps of: firstly, manufacturing a model for forming a cavity, which comprises a belt pulley matrix model and opened annular flexible movable blocks in which the number is corresponding to that of the groove walls of the belt pulley; secondly, forming a middle sand mould, wherein a belt pulley groove-casting combined model formed by the belt pulley matrix model and the opened annular flexible movable blocks is arranged inside the middle sand mould; thirdly, forming an upper sand mould; fourthly, turning over a box; fifthly, forming a lower sand mould; and sixthly, forming a belt pulley groove-casting cavity. Based on self-hardening sand technique, an inner locating three-box shape is adopted, the opened annular flexible movable blocks form groove profiles, and the thickness of the thermal center of the rim part of the belt pulley can be effectively decreased by relying on the combined mould technique located for belt pulley matrix mould so that the groove-bottom shrinkage porosity and shrinkage cavity tendency are obviously improved; and simultaneously, 15-25% of material consumption is reduced, the machining cost is obviously reduced, and the technique has high production efficiency. The groove casting technique is suitable for being used for the casting of a large belt pulley groove with a diameter of larger than 400 mm.

The invention discloses a method for analyzing faults of a source-containing power distribution network and a device for analyzing the faults. The method comprises the following steps: A, determining specific parameters of an original power distribution network and a distributed power supply; B, acquiring an initial load flow state by analyzing the steady-state load flow of the power distribution network; C, listing an admittance matrix model in a single-phase form without connecting the distributed power supply; D, establishing the short-circuit equivalent model of the distributed power supply based on the different-interface form, and amending the admittance matrix model by overlaying the network; E, processing the faults by a polymorphic phase-coordinate method according to the types of the faults; F, performing short-circuit analysis to obtain fault analysis results. According to the method and the device, the faults of the source-containing power distribution network can be effectively analyzed, and the method and the device are easy to realize and high in precision.

The invention relates to an unmanned ship shortest time-of-flight route optimization method based on the meteorological environment information, and the method comprises the steps of S1, building an unmanned ship navigation stall matrix model according to the meteorological environment information; S2, according to the longitude and latitude values of a starting point and an end point of an unmanned ship route, acquiring a large circle route from the starting point to the end point and the longitude and latitude values of all route points on the large circle route; S3, adjusting the waypointson the large circle route according to the unmanned ship navigation stall matrix; and S4, judging whether the time consumption of the adjusted large circle route is less than the time consumption of the large circle route before adjustment or not, if yes, outputting the shortest time route, and if not, returning to the step S3 to continue to adjust the waypoint on the large circle route. Accordingto the method, the meteorological environment information is considered while the air route planning is carried out, the factors not beneficial to ship navigation are avoided on the premise that theship safety is guaranteed, the meteorological conditions beneficial to navigation are utilized to the maximum extent, the shortest navigation time of the unmanned ship is achieved, and the ship operation efficiency is improved.

The invention relates to a vehicle motion track estimation method which includes the steps: S1 acquiring a body all-round looking image of a vehicle; S2 detecting angular points in the body image; S3tracking the angular points by an LK optical flow tracking method, and acquiring tracking points of the angular points in an image of next frame; S4 acquiring first motion information of the vehicle through a vehicular sensor and a vehicle motion model; S5 selecting the angular points based on the first motion information; S6 secondarily selecting the angular points to obtain an optimal matrix model, and calculating second motion information of the vehicle through the matrix model; S7 performing Kalman filtering fusion on the first motion information and the second motion information to obtaina vehicle motion track. By the vehicle motion track estimation method, high-accuracy vehicle motion tracks can be estimated when the vehicle runs at a high speed and a low speed.