136 results about "Transmission matrix" patented technology

The invention discloses a cross-cultural customer service dialogue quality automatic evaluation method in combination with sentiment analysis, and relates to the technical field of natural language processing, and the method comprises the steps: carrying out the alignment of voice and text based on a transmission matrix in real time, extracting a speech, a metaphor and polarity, and generating a speech tag; constructing an emotion channel and a polite channel, and fusing expression and shielding intensity through sharing attention; comparing and aligning with the same language prototype in a regional culture baseline library to obtain a calibration representation and updating a language offset record table; the potential upgrading probability is represented and recurred according to round aggregation calibration, and a risk vector and a high-risk position are formed; fusing risk and business indexes by a capacity integral kernel, outputting a comprehensive quality score, and giving factors and round attributions; sample recovery is triggered according to score and feedback difference, a micro-weight training data set is constructed, gradient increment training is carried out under low-rank adaptation, and cross-language consistency, early recognition of upgrading risks and interpretable evaluation are achieved through a closed loop.

The invention relates to the technical field of electrical equipment detection, and discloses a terahertz time-domain spectroscopy-based GIS insulating material nondestructive testing method, which comprises the following steps: acquiring GIS insulating material time-domain signals by using a reflection-type terahertz time-domain spectroscopy (THz-TDS), and separating and reconstructing defect echoes based on electromagnetic simulation modeling in combination with wavelet transform, STFT and a transmission matrix method; multi-dimensional features are extracted, SVM and RBFNN are trained after dimensionality reduction, and a classification and quantitative regression model fusing physical constraints is constructed; and inputting a signal of a sample to be detected into the model to realize rapid, non-contact and accurate detection on the type, size and depth of the defect. The method overcomes the defects that traditional detection is low in efficiency, has damage or is difficult to quantify, the signal-to-noise ratio, the sensitivity and the automation level are remarkably improved, the method can be widely applied to GIS production quality control, installation acceptance, operation and maintenance monitoring, health assessment and life prediction, and powerful support is provided for safe and reliable operation of an electric power system.

The invention provides a multi-user near-field secure communication method based on stacked intelligent metasurfaces, and relates to the technical field of wireless communication. The method comprises the following steps: obtaining an equivalent beamforming matrix and a first-layer channel transmission matrix of an SIM according to parameters of the SIM in a base station; according to the transmission distance between the SIM and the user and the transmission distance between the SIM and the eavesdropper and the parameters of the SIM, modeling a near-field channel to obtain a near-field channel model; obtaining a data transmission rate in combination with a beamforming vector of the base station, and further determining the security and the rate; and by taking maximization of the safety and the rate as a target, constructing an optimization model and decomposing the optimization model into two sub-problems to carry out alternate iterative optimization so as to obtain an optimized equivalent beam forming matrix and an optimized beam forming vector. An SIM is introduced, the freedom degree of beam regulation and control is increased, optimization is carried out on the basis of a near-field channel model by taking maximization of safety and rate as targets, legal users and eavesdroppers are effectively distinguished, signal energy is accurately guided to the legal users, and the communication safety is improved.

The invention relates to the technical field of computer vision and multi-modal learning, in particular to a cross-modal label pool construction and classification method for weak supervision training tasks. The method comprises the following steps: constructing a labeled source domain data set {an image with a labeled frame, a frame label and a label prototype vector}; clustering the regional features of the target domain image to obtain a clustering center; optimizing the transmission matrix T according to the optimization target; giving a pseudo label to each cluster according to the transmission matrix T, and constructing a pseudo label pool {regional features of a target domain image, pseudo labels}; according to the method, distribution between the source domain category and the target domain cluster is introduced, probability distribution type alignment is achieved between the source domain category and the target domain feature cluster, false label category mismatching is effectively avoided, the covering capacity for low resource categories is improved, and the robustness of overall false supervision training is enhanced.

The embodiment of the invention provides a design method of a wave-absorbing / wave-transmitting electrically-controlled switchable antenna housing, the structure of the antenna housing comprises an absorbing layer frequency selective surface, a dielectric layer and a wave-transmitting layer frequency selective surface from top to bottom, the absorbing layer frequency selective surface can carry out in-band loss and in-band transmission, the wave-transmitting layer can carry out in-band transmission and out-of-band reflection, and the dielectric layer can carry out in-band transmission and out-of-band reflection. The overall structure interacts to form a radar radome structure integrating absorption and transmission; a microwave network is adopted to carry out impedance analysis on the absorption and transmission radome, parameters are set to represent the characteristics of the microwave network, and meanwhile, a transmission matrix of the microwave network is analyzed through a matrix. The designed antenna housing not only has good out-of-band wave-absorbing stealth performance, but also can switch an in-band wave-transmitting state to a wave-absorbing state through electric control to realize limit stealth.

The invention discloses a partial discharge harmonic online early warning method for a cable branch box, and particularly relates to the technical field of electrical measurement and power equipment state monitoring. And a unified time base is difficult to obtain through multi-point monitoring, harmonic distortion is easy to be misjudged as discharge, and stable positioning is difficult in a topological constraint. Harmonic scene fingerprints are constructed under a unified time base, version locking is carried out, power frequency phases are re-calibrated according to the fingerprints, gating compensation is set in a non-whole frequency band domain, and joint matching is carried out by combining arrival time difference with energy attenuation under the constraint of a topological equivalent transmission matrix. And dual-threshold interlocking trigger early warning is carried out by combining the separation degree with topological consistency, so that partial discharge pulses can still be stably displayed under the change of a harmonic working condition, false alarm and caliber drift caused by harmonic waves are inhibited, reviewable positioning and executable graded early warning of branch and joint levels are realized, and the reliability of the system is improved. And the stability, comparability and implementability of field judgment are improved.

The invention discloses a heterogeneous point cloud registration method. The method comprises the following steps: S1, preprocessing; s2, extracting high-scale aggregation features; s3, inputting the features into a network, and through calculation of self-attention and cross attention, combining point-to-angle feature embedding vectors to obtain enhanced features; s4, taking the enhanced features as input, calculating a feature similarity matrix, and performing iterative calculation through an optimal transmission algorithm to obtain an optimal transmission matrix; s5, calculating a global scale factor by taking the optimal transmission matrix as input, and executing scale alignment operation; and S6, taking the optimal transmission matrix and the two groups of scale alignment point clouds as input, and carrying out point cloud accurate registration. According to the method, the point cloud registration error is reduced, the difference between the point features is increased, the parameter solving complexity is reduced, and the overall operation efficiency is remarkably improved on the premise of ensuring the precision.

The invention relates to the technical field of artificial intelligence, can be applied to business scenes such as financial science and technology and medical health, and discloses a task processing method, device and equipment based on optimal transmission and a medium. Extracting visual, audio and motion features by using a plurality of modal encoders, and generating feature representations of a plurality of modals; constructing an inter-modal feature distribution matrix based on the feature representation; generating a transmission matrix through an input convex neural network and an entropy regularization iteration mode; realizing modal feature distribution alignment by using the transmission matrix to obtain aligned feature representation; adopting a gated cross attention mechanism to fuse and generate unified feature representation; and executing the target task based on the unified feature representation, and outputting a task processing result. According to the method, modal feature alignment is realized by inputting the convex neural network in combination with entropy regularization, and fusion is completed by using gated cross attention, so that cross-modal semantic consistency and calculation efficiency are improved.

The invention provides a multi-camera image processing method and system, electronic equipment and a medium, and belongs to the technical field of aerial view, and the method comprises the steps: obtaining fisheye images shot by a plurality of fisheye cameras; converting the image features of each fisheye image into corresponding aerial view features through a feature transmission matrix; and performing aerial view feature fusion through a distortion perception learning pooling layer. According to the method, the advantage of a large field angle of the fisheye camera is utilized, efficient feature conversion is achieved in combination with matrix multiplication, feature fusion is optimized through a distortion perception pooling layer, and the problem of radial image distortion of the fisheye camera is effectively solved; according to the invention, through feature compression and matrix decomposition technologies, the calculation amount and memory occupation of multi-camera BEV feature fusion are greatly reduced; the shielding reasoning module is introduced, and the shielding problem in the BEV space can be effectively solved.

The invention relates to the technical field of high-speed aircraft ground simulation and electromagnetic property calculation, and provides a high-speed aircraft electromagnetic calculation method and system based on a quantum classification algorithm. A variable component sub-classifier is used as an intelligent scheduling core to perform feature recognition and region division on a whole flow field, and a transmission matrix method and a WKB approximation method are adaptively called according to a division result to perform hybrid calculation, so that the technical problem that a traditional single calculation strategy is difficult to collaboratively optimize in precision and efficiency is solved; the method has the advantages that global computing resources can be distributed according to needs, and the overall solving speed is greatly increased while high simulation precision of the key area is guaranteed.

The invention discloses a welding spot testing method and system and a computer program product, and relates to the technical field of electronic packaging, and the method comprises the steps: constructing a single welding spot testing architecture through a to-be-tested single welding spot of a chip unit, and determining a transmission parameter matrix according to a scattering parameter matrix of the single welding spot testing architecture; combined de-embedding calculation is carried out by combining a substrate open circuit transmission matrix, a substrate short circuit transmission matrix and a chip short circuit transmission matrix which are measured when the single welding spot test framework is in an open circuit structure and a short circuit structure, so that the parasitic effect of the test substrate and the chip unit and the crosstalk of adjacent structures are accurately stripped; therefore, transmission performance parameters which only reflect intrinsic characteristics of the to-be-tested single welding spot can be directly extracted, signal superposition interference and approximate estimation limitation existing in a traditional multi-point series connection test or parameter equalization method are broken through, systematic errors are eliminated, accurate measurement and fault location of electrical characteristics of the to-be-tested single welding spot are achieved, and the method is suitable for large-scale popularization and application. And the accuracy and the reliability of the welding spot test in the packaging body are obviously improved.

A computing apparatus is provided. The apparatus includes: an input port to receive a first optical signal; a matrix calculation unit having a transmission matrix and configured to use the transmission matrix to process the first optical signal to obtain a second optical signal, where the second optical signal has a complex amplitude, and the transmission matrix is a unitary matrix M′; a real part obtaining unit optically coupled to the matrix calculation unit and configured to obtain, from the second optical signal, a third optical signal representing a real part of a complex amplitude of the second optical signal; and an output port configured to output an optical signal.

This invention relates to a method, apparatus, device, and medium for error compensation in a dual-drive feed system, belonging to the field of CNC equipment error measurement and compensation technology. The method includes: establishing a low-order volume array of the equipment to be modeled, equipped with a dual-drive feed system; obtaining an error transmission chain from the workpiece to the tool based on the low-order volume array; establishing a mathematical model of tool error and dual-axis error when the dual axes of the dual-drive feed system drive the tool; determining the homogeneous coordinate transformation matrix between any two volumes in the low-order volume array; establishing an error transmission matrix from the workpiece coordinate system to the tool coordinate system based on the error transmission chain, mathematical model, and homogeneous coordinate transformation matrix; establishing a comprehensive error model of the dual-drive feed system based on the error transmission matrix and the transmission matrix under ideal conditions; and performing error compensation on the dual-drive feed system based on the comprehensive error model, thereby improving the error compensation accuracy of the dual-drive feed system.

The application discloses a wave plate cascade disturbance device and method based on outer rotation and inner rotation forms, and the device comprises an optical transmitter, a disturbance module and a calculation module. The method comprises the following steps: acquiring polarized light with a fixed polarization state; determining a transmission matrix of an outer rotation model and a transmission matrix of an inner rotation model given a disturbance speed and a white noise distribution; performing decomposition conversion processing on the transmission matrix of the outer rotation model and the transmission matrix of the inner rotation model to obtain three-level electrical signals; and performing polarization state adjustment processing on the polarized light with the fixed polarization state according to the three-level electrical signals to obtain adjusted polarized light. The application can independently control the disturbance speed and the polarization probability distribution, improve the controllability of the disturbance model, and realize high-speed polarization disturbance with strong adjustability. The application can be widely applied to the technical field of polarized light disturbance.

The application discloses a wide-angle optical antireflection method based on equivalent gradient refractive index matching and phase angle restriction, and the method can solve the problem that some medium materials corresponding to the refractive index do not exist, so as to meet the needs of subsequent gradient refractive index matching, by selecting two medium materials with different refractive indexes and respectively controlling the thickness of the medium layers, and converting the medium layers into equivalent medium layers with different equivalent refractive indexes and equivalent thicknesses according to a transmission matrix. In addition, the change of the propagation phase is restricted by limiting the propagation angle of the incident light in the medium layer, so as to realize the insensitivity of the propagation phase to the angle change, meet the needs of wide-angle transmission enhancement, and determine the medium material corresponding to the refractive index according to the range of the propagation angle restriction. According to the above method, the medium material capable of realizing the wide-angle optical antireflection can be quickly selected, and the time cost required for selecting the medium material is greatly shortened.

The application discloses a mechanical equipment safety interlock control method based on multi-sensor information fusion. The method collects the motion position, speed, acceleration, force and torque data of the mechanical equipment, and performs time alignment, amplitude normalization and short-time abnormality filtering, estimates the kinetic energy, potential energy and friction energy consumption of each energy node, and constructs an energy transmission matrix between nodes; fusion sensor data and matrix information extracts four types of abnormal characteristics of short-term energy surge, local energy reflection, friction energy abnormal fluctuation and energy accumulation accompanied by micro-vibration, and predicts dangerous energy states including single and complex dangerous energy states accordingly; based on the prediction of dangerous energy state and the current running state of the equipment, the safety interlock action is adaptively triggered, the driver torque, current amplitude limiting and active damping are dynamically adjusted, and the control of backflow energy and accumulated energy along the virtual dissipation path is realized. The method is suitable for high dynamic mechanical equipment and can realize fine safety interlock control of multiple nodes and multiple abnormal characteristics.

The invention provides an air interface wire rapid calibration method and system, and solves the problems of high execution complexity and difficulty in engineering application caused by the adoption of space violent search in the existing air interface wire calibration technology. The method comprises the following steps: synchronously starting a static calibration antenna and a reference antenna fixedly connected with a rotary table under a plurality of rotation angles of the rotary table, and acquiring measurement data from measured equipment; determining a phase difference data set and a relative amplitude data set according to the measurement data; reconstructing a plurality of air interface transmission matrixes in a digital domain based on the data set, and screening out at least one calibration antenna spatial position combination by taking a matrix condition number as an index; and air interface wire calibration is completed according to the combination. According to the invention, the calibration complexity is reduced from a combination order to a linear order, the hardware cost and the measurement time are significantly reduced, the high-efficiency and high-precision calibration of large-scale terminals such as a whole vehicle is realized, and the method has wide applicability irrelevant to frequency.

The invention provides a parametric modeling method and device for a silicon-based millimeter wave on-chip component, and belongs to the technical field of integrated circuit modeling and millimeter wave circuit design. The method comprises the following steps: under a preset key parameter interpolation node, acquiring a transmission parameter of a de-embedding test structural member comprising a de-embedded component at each test frequency point; removing a parasitic effect embedded in the test structural member by using transmission matrix operation so as to obtain a transmission matrix of the de-embedded component and obtain a scattering parameter of the de-embedded component; then, through a vector fitting algorithm, obtaining a pole-residue model of the de-embedded component under the parameter interpolation node; and based on the pole-residue model under each parameter interpolation node, establishing a parameterized de-embedding model of the de-embedded component through a gravity center interpolation algorithm. According to the method, rapid and accurate modeling of silicon-based millimeter wave on-chip components of any size can be realized, and the reliability and efficiency of millimeter wave integrated circuit design are improved.

The application discloses a kind of multi-mode optical fiber wavelength multiplexing wide field imaging quality promotion methods based on dynamic calibration.The method comprises the following steps: collecting the output speckle pattern corresponding to each wavelength after being transmitted by multi-mode optical fiber;The speckle patterns of different wavelengths are spatially registered and spliced to form a high-dimensional composite speckle vector;PCA is used to bidirectionally compress the dimension of input image and composite speckle vector group, and a linear wavelength multiplexing inverse transmission matrix (WITM) is dynamically estimated and updated in low-dimensional space, and real-time pre-reconstruction and continuous monitoring are realized;Set up optical fiber state monitoring module to analyze pre-reconstruction frame in real time, when structural disturbance or optical fiber deformation is detected, automatically trigger in situ dynamic calibration, realize the rapid adaptive update of WITM, without retraining network.The updated WITM will guide the diffusion neural network image optimizer to iteratively denoise and detail repair the pre-reconstruction result, significantly improve the image fidelity and structure restoration ability.

The invention provides a programmable photon integrated circuit phase configuration optimization method and system based on a neural network, and relates to the technical field of photon signal processing. The method comprises the following steps: firstly, randomly generating multiple groups of phase configurations in a chip, measuring to obtain a corresponding transmission matrix, and constructing a sample data set of phase configuration-matrix elements; training a full-connection neural network based on the data set to enable the full-connection neural network to accurately fit transmission characteristics under a component error condition; taking the phase configuration to be optimized as a parameter to be optimized, iteratively calculating loss through a gradient descent algorithm, and updating the parameter; and when the loss meets a preset condition, outputting the target phase configuration and loading the target phase configuration to the chip, thereby realizing high-precision, low-cost and directly applicable phase configuration optimization of the MZI network.

The application relates to a photoetching calibration device, a photoetching calibration method and a photoetching system for the photoetching system, wherein the photoetching calibration method comprises the following steps: a calibration objective lens collimates a first scattered light beam into a calibration collimated light beam; wherein a projection objective lens converges a to-be-modulated light beam emitted by a light source on a scattering medium, the to-be-modulated light beam is scattered into the first scattered light beam through the scattering medium; the distance between the calibration objective lens and the scattering medium is a preset focusing distance; a calibration converging lens converges the received calibration collimated light beam into a calibration light beam; a calibration camera receives the calibration light beam and takes a picture to obtain a calibration image; a calibration controller generates a scattering medium transmission matrix according to the calibration image, and calibrates the photoetching system based on the scattering medium transmission matrix. Through the application, the problem of how to reduce the production cost while ensuring that the photoetching pattern meets the high-precision requirement is solved, and the photoetching effect with low cost and high resolution is realized.

The application provides an event causal relationship mining method and system based on atlas constraint and time sequence optimal transmission, which comprises the following steps: cutting a burst event description text into text blocks; performing atomic event extraction on each text block, and formalizing each atomic event into a binary feature group; mapping any two atomic events and into event nodes and in a preset knowledge atlas, calculating the shortest path topological distance of the event nodes and in the atlas, and constructing a teacher model probability distribution according to the shortest path topological distance; calculating the cosine distance between the vectors and as a basic semantic transmission cost, and performing time sequence constraint on the basic semantic transmission cost to construct a time sequence transmission cost matrix, searching for an optimal transmission matrix that minimizes the total transmission cost; and obtaining an event causal relationship that meets the time sequence optimal transmission under the constraint of a field knowledge atlas by minimizing a joint loss function of the teacher probability distribution and the optimal transmission matrix.

The application discloses a free-form surface optical imaging method and system, and relates to the technical field of true three-dimensional technology; the technical points are as follows: acquiring light field source data; forming optical emission parameters, and constructing a three-dimensional physical coordinate sequence based on a discretized three-dimensional voxel set; collecting a surface equation parameter of the free-form surface and a physical distribution parameter of a light field projection array; arranging an optical path transmission matrix according to four dimensions of a light source horizontal coordinate, a light source vertical coordinate, a target space horizontal coordinate and a target space vertical coordinate to obtain an initial four-dimensional light ray transmission tensor; calling a tensor decomposition operator to perform dimension reduction processing on the four-dimensional light ray transmission tensor to generate a spatial modulation characteristic base matrix; generating a modulation driving flow based on the light field source data and the spatial modulation characteristic base matrix; driving the light field projection array to output a modulation light field according to the modulation driving flow; and the modulation light field is reflected or transmitted by the free-form surface and converges at a specified physical space position to form a spatial three-dimensional pixel; and the application improves the precision and definition of true three-dimensional imaging.

This invention discloses a method for calculating the dynamic reliability of electromechanical systems based on inter-component interoperability, comprising: (1) constructing a hidden Markov model for system risk transmission and an inter-component risk state transmission matrix; (2) combining load effects to calculate inter-component interoperability and resistance coefficients, quantifying relevant parameters of the state transition matrix, and calculating the probability that the risk of a component will not escalate after risk transmission; (3) applying inter-component interoperability, determining the final state sequence of the system based on the idea of ​​stochastic computation, and calculating the dynamic reliability of the system. For complex electromechanical systems, the interoperability calculation method of this invention can make the system reliability calculation closer to the actual situation, and based on this, an improved maintenance strategy is proposed. Compared with the traditional maintenance strategy, the maintenance strategy considering inter-component interoperability proposed in this invention can maintain the system at a higher reliability and have a lower maintenance cost in the long term.

The application belongs to the technical field of wireless communication, and discloses a backscattering communication method, device and system based on multi-carrier differential modulation t The transmission vector at t-1 time is expanded into a symmetric and full-rank subcarrier block transmission matrix, the transmission vector u t is subjected to rectangular differential modulation to obtain the transmission vector at t time, and then is converted into a time-domain data frame and mapped into a reflection coefficient; and the excitation source signal is modulated by means of an impedance network to generate a backscattering signal. Since differential modulation transmits information based on the difference between adjacent symbols, the channel state information is cancelled in the process of data detection at the receiving end, and the original sending data can be recovered by non-coherent detection of the receiving signal at the receiving end, without a complex cascaded channel estimation process, so that the complexity of the multi-carrier backscattering communication system is effectively reduced.

The invention discloses a TSV technology-based full-connection beam forming network miniaturization design method, and belongs to the technical field of wireless communication and radar systems, and the method comprises the steps: in the miniaturization process of equivalently replacing a transmission line into a T-type network, designing the T-type network through a transmission matrix analysis method based on the TSV technology, and obtaining a miniaturized transmission line; a miniaturized directional coupler, a Wilkinson power divider, an annular coupler and a T-shaped attenuator are designed; all the devices are assembled through transmission lines, and a network topology structure of the full-connection beam forming network is obtained; on the basis of a network topology structure, transmission lines of connecting devices are processed according to different layers by using a TSV technology, and a miniaturized full-connection beam forming network is obtained. According to the method, the problem of large circuit area occupied by a cross junction due to large area and high circuit complexity of a full-connection beam forming network device is solved, and the miniaturization design of the whole network is realized.

This invention discloses a signal processing method, an electronic device, a computer program product, and a storage medium. The signal processing method is applied to the signal processing end of a communication system. The signal processing method includes: determining a compensation matrix based on the channel matrix of the communication system; the channel matrix is ​​the channel transmission matrix of multiple transmission lines between the transmitting end and the receiving end of the communication system; and performing compensation processing on the transmitted signal based on the compensation matrix; wherein the transmitted signal is a single-ended transmission signal.

This invention discloses a high-resolution vector twisted light field generation system based on scattering focusing. It mainly includes a 4f system for generating the twisted vector light field, a microscope objective for focusing and magnifying the target, a scattering medium, and a CMOS receiver. The 4f system includes a spatial light modulator for phase modulation. The system can generate different target twisted vector light fields by adjusting the twisted phase. It can not only quickly calculate the vector optical transmission matrix, but also generate a high-resolution target twisted vector light field behind the scattering medium based on the measured vector transmission matrix. This system is suitable for industries requiring the generation of high-resolution twisted vector light fields behind scattering media, and features convenient operation, flexible control, high light field resolution, and stable performance.

The invention provides a scattering parameter calculation method and device, a storage medium and calculation equipment, and the method comprises the steps: obtaining an equivalent circuit model corresponding to each sub-circuit module in a target circuit from a pre-constructed equivalent circuit model library, and obtaining a configuration parameter set for each equivalent circuit model; the configuration parameters at least comprise geometric dimension parameters and material attribute parameters; obtaining a frequency simulation range, and for each target frequency in the frequency simulation range, according to the configuration parameters of each equivalent circuit model, performing simulation on each equivalent circuit model under the target frequency in sequence to obtain parasitic parameters of each equivalent circuit model under the target frequency; determining a transmission matrix of each equivalent circuit model under the target frequency according to the parasitic parameters and circuit structures in the equivalent circuit models; and determining a first scattering parameter of the target circuit at the target frequency according to the transmission matrix of each equivalent circuit model at the target frequency.