323 results about "Transmission matrix" patented technology

The invention relates to the technical field of document retrieval and information processing in the data processing technology, in particular to a document retrieval method based on multistage indexing and feature clustering, which comprises the following steps: performing high-dimensional space mapping on multi-modal features such as texts and images through a quantum embedding layer to generate cross-modal joint feature representation; a first-level index of a multi-level index architecture is dynamically initialized based on a meta-clustering algorithm, and semantic blocks of a second-level index are divided in combination with a multi-head self-attention mechanism. And an optimal transmission matrix is generated by using a Sinkhorn algorithm to align cross-node feature distribution. The multi-target mixed retrieval strategy is fused with vector retrieval, keyword retrieval and graph retrieval results, and weight distribution is dynamically adjusted. Through collaborative optimization of quantum calculation, federated learning and causal reasoning, a closed-loop technical architecture from feature analysis to dynamic index construction is formed, the problems of insufficient cross-modal fusion, static clustering deviation and semantic association deficiency are solved, and the precision, efficiency and dynamic adaptability of heterogeneous document retrieval are improved.

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 field of surface-mounted metasurface structure design, in particular to a design method and device for a multi-frequency transparent transmission type surface-mounted metasurface structure, and the method comprises the steps: representing a multi-layer structure of a glass surface-mounted metasurface through a cascade transmission matrix; wherein the metasurface comprises a metal layer and a dielectric layer; a corresponding transmission coefficient is calculated by using the represented cascade transmission matrix, and a theoretical optimal transmission coefficient of a target frequency band under the structure is obtained by adjusting the dielectric constant and the thickness of a metasurface dielectric layer and the equivalent impedance of a metasurface metal layer to determine an initial structure and a parameter change interval of a to-be-optimized metasurface unit; simulating to obtain a transmission coefficient under the initial structure of the metasurface; and based on the transmission coefficient under the initial structure of the metasurface, taking a theoretical optimal transmission coefficient as an optimization target, and adopting a quasi-Newton algorithm to optimize metasurface design to obtain a metasurface structure corresponding to the optimal transmission coefficient. Compared with the prior art, the invention has the advantages of greatly and stably improving the transmission performance of multiple frequency bands and the like.

The embodiment of the invention discloses a three-dimensional reconstruction method based on structured three-dimensional Gaussian representation. The method comprises the following steps: acquiring a target image containing a target object at multiple visual angles; generating an unstructured Gaussian primitive representation corresponding to the target object according to the target image; establishing a transmission matrix describing the unstructured Gaussian primitive distribution and the structured Gaussian primitive distribution, solving the transmission matrix by using an optimal transmission algorithm, and generating a structured Gaussian primitive representation corresponding to the target object according to the optimal transmission matrix; obtaining a text description for the target object, and complementing the structured Gaussian primitives according to the text description by using a diffusion model obtained by pre-training; and performing three-dimensional reconstruction by using the complete structured Gaussian primitive. According to the method, the optimal transmission algorithm is used for carrying out structured representation on the three-dimensional Gaussian primitives, and text description is used for complementing the Gaussian primitives through the diffusion model, so that the quality of three-dimensional reconstruction is improved.

The invention discloses a visible infrared dual-band stealth material and a preparation method thereof. The material structurally comprises a metal Mo layer, a Ge dielectric layer and an Al2O3 dielectric layer, and the metal Mo layer, the Ge dielectric layer and the Al2O3 dielectric layer are sequentially laid from bottom to top. According to the method, the absorptivity, the refractive index and the transmittance of the thin film structure in visible light and infrared bands are calculated through combination of a transmission matrix and simulation software, and simulated absorption spectrums of the thin film structure in the visible light and infrared bands under the normal incidence condition are obtained; by changing the thickness of each layer of material in the thin film structure, different thickness absorption spectrums of the thin film structure in visible light and infrared bands are obtained through calculation; comparing the different thickness absorption spectrums with the simulated absorption spectrums to obtain an optimal thin film structure and the thickness of each layer of material; and according to the thickness of each layer of material of the optimal thin film structure, a target thin film structure is prepared by setting a preparation mode. The structure is simple, the manufacturing process is simplified, and preparation and large-scale integration are easy.

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 discloses a wireless ultrasonic open channel flow prediction method based on artificial intelligence. The method comprises the steps of image acquisition, image preprocessing, establishment of an ultrasonic open channel flow prediction model and wireless ultrasonic open channel flow prediction. The invention belongs to the technical field of flow prediction, and particularly relates to a wireless ultrasonic open channel flow prediction method based on artificial intelligence. According to the scheme, a physical transmission matrix is constructed based on a physical transmission rule of water flow, and an adjacent matrix is constructed in combination with hydrological characteristics to fully excavate an interconnection relationship between nodes, so that when a large amount of hydrological data is processed, the flow prediction accuracy is improved; the flow prediction accuracy can be obviously improved; by updating and optimizing the state of each node, the method can better adapt to flow change and environmental disturbance, and the stability of flow prediction is improved; according to different space-time backgrounds, flow prediction is carried out adaptively; and the method can adapt to abnormal fluctuation conditions of long time span and different environmental conditions during open channel flow prediction, so that the professionality of open channel flow prediction is improved.

The invention provides a fiber optic spectrometer and a spectrum detection method, and belongs to the technical field of spectrum detection. The optical fiber spectrometer comprises an optical splitter and a detector, wherein the optical splitter comprises a multimode optical fiber and a diffraction grating which is formed by writing on the end face of the emergent end of the multimode optical fiber and is arranged opposite to the light sensing surface of the detector. The spectrum detection method comprises the following steps: calibrating a fiber optic spectrometer by using a tunable laser to obtain an initial transmission matrix for representing response characteristics of the fiber optic spectrometer under different wavelengths; correcting the initial transmission matrix by adopting a singular value decomposition algorithm to obtain a final transmission matrix; measuring a to-be-measured light source by using a fiber optic spectrometer to obtain a to-be-measured diffraction image; and reconstructing the spectrum of the to-be-measured light source according to the to-be-measured diffraction image and the final transmission matrix. According to the invention, the diffraction image of the light source to be detected is measured by means of the optical fiber spectrometer with a simple structure, and the spectrum of the light source to be detected can be rapidly and reliably detected in combination with the transmission matrix obtained by calibrating the optical fiber spectrometer.

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 invention relates to the technical field of data processing, in particular to a multi-source data fusion method and system based on an optimal transmission algorithm, and the method comprises the steps: obtaining input data sources, and extracting a feature vector of each data source; the feature vectors of all the data sources are merged and subjected to clustering operation to generate a prototype set, joint weight distribution of a multi-path jump path is defined by calculating the jump probability between a cross-modal vector and vectors in the prototype set, and entropy weighted multi-path prototype bridging cost fusing multiple semantic path costs is obtained based on the joint weight distribution; constructing a sparse optimal transmission matrix based on an optimal transmission algorithm and entropy weighted multipath prototype bridging cost; and performing cross-modal weighted alignment and enhanced representation construction on the extracted feature vector of each data source by using the sparse optimal transmission matrix to generate a multi-modal fusion representation. According to the method and the device, the consumption of computing resources can be reduced on the premise of ensuring the precision and the efficiency of data fusion.

The invention discloses an integrated circuit wiring optimization method and apparatus, and an electronic device. The method comprises the steps of obtaining a target network corresponding to initial wiring data of an integrated circuit; the target network comprises a signal network and a sequential network; constructing a transmission matrix corresponding to the signal network, and converting the transmission matrix into a corresponding scattering parameter; determining a first simulation analysis parameter based on the scattering parameter, the first simulation analysis parameter including insertion loss; determining a buffer pitch based on the insertion loss; and optimizing the initial wiring data based on the buffer spacing to obtain wiring data. Through the Buffer spacing obtained after simulation analysis, wiring data can be optimized more accurately.

A transceiver device, including a multi-antenna feeder array and a reconfigurable intelligent surface (RIS), where the multi-antenna feeder array includes a plurality of active antennas configured to transmit electromagnetic radiation based on a data stream pre-coded with a pre-coder. The RIS includes a plurality of passive antennas, each passive antenna is configured to receive the electromagnetic radiation from the multi-antenna feeder array and to re-transmit the received electromagnetic radiation with a respective adjustable phase shift. The transmission from the plurality of active antennas of the multi-antenna feeder array to the plurality of passive antennas of the RIS is defined by a transmission matrix, where the multi-antenna feeder array is configured to generate the pre-coder based on one or more generalized eigenvectors of the transmission matrix.

The invention relates to the field of semiconductor lasers and deep learning, and discloses a DFB laser spectral parameter reverse design method based on a DNN model, which comprises the following steps: giving spectral parameters of a DFB laser, and obtaining a threshold spectrum of the DFB laser through a transmission matrix method; extracting characteristic parameters of the threshold spectrum; recording values of the characteristic parameters and spectral parameter values of the corresponding DFB laser to generate a data set; initializing the weight and the back propagation error of the DNN model by adopting a particle swarm algorithm; inputting the data set into the initialized model for training; giving a target threshold spectrum, and extracting characteristic parameters; and inputting the characteristic parameters into the trained model, outputting spectral parameters of the DFB laser, and realizing reverse design of the spectral parameters. The method provided by the invention can reduce the tedious operation of acquiring the threshold spectrum by using a spectrograph for many times, improves the accuracy, and reduces the used time and memory proportion, thereby optimizing the spectral characteristics more quickly and more accurately.

The invention discloses a time-varying channel estimation method and device, a medium and a product, and relates to the technical field of underwater acoustic communication, and the method comprises the steps: carrying out the preprocessing of a received signal, and obtaining a baseband signal; the method comprises the following steps of: performing channel initialization estimation by using a preamble according to a baseband signal; constructing a joint transmission matrix model by using the correlation between the channels at adjacent moments according to the initialized estimated values of the channels; detecting symbols at adjacent moments according to the joint transmission matrix model; taking the symbol with the minimum detection error in the symbols at the adjacent moments as a new pilot frequency; performing interference elimination on the new pilot frequency by using the detected symbols; and using the new pilot frequency after interference elimination to carry out iterative verification on the current time channel obtained based on the FBMC-OQAM channel estimation method until the error converges, outputting the current time channel, and carrying out channel estimation at the next time. According to the invention, the symbol detection accuracy during long data block transmission can be improved.

The invention provides a linear optical tweezer astigmatism field regulation and control method based on an optical transmission matrix. The design method comprises the following steps: establishing a 4 * 4 optical matrix for generating a linear optical tweezer astigmatism field and a transmission equation; analyzing the regulation and control rule of the parameters of the optical element on the astigmatism characteristics; collecting a fluorescence slice image of the initial astigmatic light field through an axial tomography scanning method; reconstructing the spatial distribution of the initial image light field; judging whether the light field accords with a preset astigmatism characteristic or not, if not, determining the astigmatism characteristic to be optimized, and adjusting element parameters according to a regulation and control rule; and acquiring the adjusted image of the astigmatism light field again, reconstructing the image, and continuously performing judgment iteration until the image accords with the preset astigmatism characteristic, thereby realizing regulation and control of the astigmatism light field. Matrix optics is used in optimization of a linear optical tweezer image dispersion light field optical system, the limitation of traditional trial and error design is avoided, the method can be applied to the fields of light control technology, light sheet fluorescence microscopic imaging and the like, and the performance of the optical system is improved.

The invention discloses a wide-angle-domain optical anti-reflection method based on equivalent gradient refractive index matching and phase angle constraint, and the method comprises the steps: selecting two dielectric materials with different refractive indexes, respectively controlling the thicknesses of dielectric layers, and converting the dielectric layers into equivalent dielectric layers with different equivalent refractive indexes and equivalent thicknesses according to a transmission matrix; the problem that dielectric materials corresponding to some refractive indexes do not exist at present is solved, and the requirement for follow-up gradient refractive index matching is met. Besides, the change of the propagation phase is constrained by limiting the propagation angle of the incident light in the dielectric layer, so that the insensitivity of the propagation phase to the angle change meets the requirement of wide-angle-domain transmission enhancement, and the dielectric material with the corresponding refractive index can be determined according to the propagation angle constraint range. According to the method, the dielectric material capable of realizing wide-angle-domain optical anti-reflection can be quickly selected, and the time cost required for selecting the dielectric material is greatly reduced.

The invention discloses an STAR-RIS and RSMA-based resource optimization method and system for a communication and inductance integrated system, and belongs to the field of wireless communication. The optimization method comprises the following steps: S1, constructing a system initial model; s2, setting an iteration frequency variable, and giving an initial radar detection signal covariance matrix, initial power distribution, an initial decoding sequence and a transmission matrix and a reflection matrix of an initial STAR-RIS; s3, on the premise that power distribution, a radar detection signal covariance matrix, a decoding sequence and a transmission matrix and a reflection matrix of STAR-RIS are given, optimizing the system initial model to obtain optimal power distribution, an optimal covariance matrix, an optimal decoding sequence, an optimal transmission matrix and an optimal reflection matrix; and S4, substituting the obtained optimal parameter into S3 based on a BCD method, updating an iteration frequency variable until the iteration frequency is reached, ending iteration, and obtaining an optimal solution of the total rate of the user.

The invention provides a remote sensing water depth detection method, medium and system based on blue-green laser, and belongs to the technical field of water depth measurement, and the method comprises the steps: firstly, obtaining blue and green laser signals with known transmitting power, and collecting water surface reflection and water bottom reflection data under different incident angles; based on the data, a laser incident angle matrix is established, and a water surface reflection coefficient and a water surface transmission coefficient are calculated. Meanwhile, an atmospheric transmission matrix is established according to the meteorological parameters, and the transmission loss of the laser signal in the atmosphere is calculated. Then, a water surface fluctuation model is established, and water surface reflection and water bottom reflection signals are separated; and establishing a water depth calculation equation set by using the blue-green dual-wavelength signal intensity ratio matrix and combining with the optical characteristics of the water body. And finally, according to the propagation time difference and the equivalent propagation speed of the laser signal in water, solving a water depth equation set, and finally obtaining a water depth topographic map. The problem that in the prior art, a water surface reflection signal and a water bottom reflection signal cannot be separated, and the measurement precision is affected is solved.

The invention provides a channel reconstruction method, device and equipment based on a multi-probe microwave anechoic chamber and a storage medium, and the method comprises the steps: building a target channel three-dimensional spherical power spectrum model based on an azimuth angle power spectrum and a pitch angle power spectrum; generating a target channel spatial correlation matrix based on the three-dimensional spherical power spectrum model and the position vector of each antenna pair; calculating a transmission matrix between the probe position and the antenna pair; determining a target probe based on the target channel spatial correlation matrix, the transmission matrix and a progressive selection algorithm; iterating the probe weight of the target probe through a preset probe weighting algorithm based on mirror image descent to obtain a target probe weight; obtaining the spatial correlation of a simulation channel based on the position of the selected probe and the obtained weight of the target probe, and completing channel reconstruction; according to the invention, the problems of low efficiency and difficulty in meeting high-precision requirements in the channel reconstruction process can be solved; and the channel reconstruction precision and efficiency are improved.

The invention provides a large-distance spacer ring distance protection mis-tripping prevention method and device, and the method comprises the steps: building a mis-tripping risk conduction matrix through collecting the fault propagation record of a spacer ring circuit breaker node, and achieving the tracking of a fault path; performing spectral analysis on the tracking path by applying wavelet decomposition, and identifying a key protection section; extracting an impedance aggregation state and a power transmission track of each node, establishing an energy distribution mode and forming an impedance-power-energy coupling situation; a time window is activated based on the coupling situation, and a cooperative distance protection potential field is constructed through a communication protocol; executing gradient scanning to construct a collaborative network, and generating a multi-dimensional protection decision domain by adopting vector superposition; global search is carried out to position an optimal balance point, a layered protection setting sequence is generated, and a cooperative adjustment strategy is formulated; and monitoring a dynamic impedance state in real time to identify a transition critical point, triggering cooperative adjustment to complete intelligent anti-error tripping, and realizing the transformation of large-distance spacer ring protection from passive to active.

The invention relates to a hull total longitudinal bending moment monitoring device and method, a terminal and a medium, belongs to the field of structural health monitoring, and aims to solve the problems of high cost and low precision of existing bending moment monitoring. The long baseline sensor is fixedly installed on a to-be-monitored point of a hull bottom structure, the long baseline sensor is in data connection with the data receiving processor, and the data receiving processor and the terminal are in data connection with the medium. The device can accurately simulate the working condition, improves the measurement precision and stability of the sensor, is simple and convenient to operate, improves the working efficiency, is flexible in structure, and has multiple driving modes. According to the method, long-distance bending moment recognition is converted into short-distance displacement recognition, long-baseline deck bending moment is converted into short-baseline displacement measurement through a high-rigidity iron pipe and a universal joint, the bending moment can be recognized based on local displacement information by constructing a transfer matrix, and compared with a traditional technology, the method is simple and efficient in algorithm, high in measurement precision, high in interference resistance, convenient to install and high in practicability. The cost is greatly reduced; and the maintenance is simple.

The invention provides a three-dimensional holographic imaging method. The method comprises the following steps: loading a holographic pattern to be imaged to a spatial light modulator; modulating a preset laser source by using a spatial light modulator loaded with a holographic pattern to form a first wavefront with initial phase information; carrying out primary scattering on the first wavefront by adopting a first turbid medium lens to form a second wavefront; compensating the second wavefront by adopting a metasurface compensation unit to form a third wavefront; after a second turbid medium lens is adopted to carry out secondary scattering on the third wavefront, a holographic imaging system is utilized to carry out imaging; wherein the metasurface compensation unit is determined according to a transmission matrix of the first turbid medium lens and a transmission matrix of the second turbid medium lens. The imaging view angle can be effectively increased, and the space bandwidth product can be improved.

A quantum key distribution system is provided, including: a sending terminal, a measurement terminal, a receiving terminal, and at least one polarization controller. The sending terminal is configured to generate a quantum optical signal and receive a detection result. The measurement terminal includes a beam splitter and two single-photon detectors, the beam splitter is configured to generate two measurement optical signals based on the quantum optical signal, and the two single-photon detectors are configured to generate the detection result. The receiving terminal is configured to receive the detection result. The at least one polarization controller is provided in the sending terminal, the measurement terminal or the receiving terminal, and performs a polarization processing on the quantum optical signal or the detection result using a target transmittance matrix determined based on the detection result, so as to obtain a polarized quantum optical signal or a polarized detection result.

The invention provides a power distribution information physical system reliability evaluation method and system, and the method comprises the steps: building a multi-dimensional information system network model which comprises an equipment operation state model, a packet loss model, a time delay model and an error code model, building a node adjacency matrix according to an equipment node connection relation, obtaining a node network transmission matrix based on the node adjacency matrix, and carrying out the reliability evaluation of a power distribution information physical system. Calculating expected values of availability of four attributes of the multi-dimensional information system; based on the calculated expected values of the availability of the four attributes of the multi-dimensional information system, a fault point area caused by manual operation due to unreliable information system performance and prolonged power failure time of the upstream and downstream of a fault point are obtained; generating a physical operation scene based on the prolonged power failure time and correcting the physical operation scene; and carrying out fault recovery decision calculation on the corrected physical operation scene to finally obtain a reliability evaluation index.

The invention relates to a method and a system for acquiring dissipated power of a radio frequency device and related equipment. The method comprises the following steps: acquiring respective scattering parameters of all circuit elements in a circuit of the radio frequency device; connecting the respective scattering parameters of all the circuit elements to obtain an overall scattering parameter of the radio frequency device; acquiring an incident wave vector of each circuit element; according to the overall scattering parameter and the incident wave vector of each circuit element, acquiring an emergent power vector corresponding to each circuit element; and constructing a transmission matrix based on the corresponding emergent power vector according to the connection relationship among all the circuit elements, and calculating and obtaining the dissipation power of the radio frequency device through the transmission matrix. According to the method, the dissipation power is obtained by taking the scattering parameters as the data source, so that automatic processing is conveniently realized, and the design efficiency of the radio frequency device is favorably improved.

The invention discloses a chirp grating design method and device, equipment and a storage medium, and relates to the technical field of optical fibers, and the disclosed chirp grating design method comprises the steps: analyzing a preset target spectrum function to obtain a target grating structure parameter; layering the initial grating into a plurality of sub-grating regions with uniform periods based on the target grating structure parameters, and establishing a layered transmission matrix model; determining a refractive index modulation depth range of each sub-gate region according to the layered transmission matrix model; and performing iterative optimization on grating structure parameters of the initial grating according to the layered transmission matrix model, the target spectral function, the refractive index modulation depth range and a preset error function to obtain a target grating. The performance of the chirp grating can be optimized.

The invention provides a quick calculation method and system for vibration response of a shaft system of a diesel engine, and the method comprises the steps: simplifying a crankshaft system and stress of the diesel engine, and obtaining a simplified model of the diesel engine; on the basis of a straight beam unit, a transverse vibration transfer matrix, a longitudinal vibration transfer matrix and a torsional vibration transfer matrix of a straight beam are established respectively, and a spatial continuum transfer matrix of the straight beam is calculated; establishing a point transfer matrix of coordinate transformation at each section of straight beam connection point through a force balance condition and a displacement coordination condition; lapping a transfer matrix from a single crank to the whole crankshaft system according to the spatial continuum transfer matrix of the straight beam and the point transfer matrix of coordinate transformation; constructing a kinetic equation according to a transfer matrix from a single crank to the whole crankshaft system; calculating the inherent frequency of the crankshaft system according to the kinetic equation; the method comprises the following steps: loading an exciting force map on a crank pin of a crankshaft system, and solving forced vibration response of any point on a crankshaft by using a Newmark-beta method.

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 provides a low-altitude unmanned aerial vehicle visual target tracking method based on dynamic sparse Sinkhorn attention, and belongs to the technical field of unmanned aerial vehicle intelligent perception. According to the method, an unmanned aerial vehicle carries imaging equipment to obtain video images of a target template area and a search area, and visual and language tokens are respectively generated in combination with natural language description; a dynamic sparse Sinkhorn attention module is embedded behind a multi-head self-attention layer of a visual encoder, an approximate double-random transmission matrix is constructed through similarity calculation and iteration, and differential sorting between tokens is achieved; a previous visual token most related to target semantics is dynamically screened and reserved according to the correlation score, background interference and redundant information are inhibited, and airborne calculation burden is reduced; and fusing the screened tokens in a prediction network, and outputting a target existence probability and a bounding box to realize stable real-time tracking. According to the method, the calculation complexity is reduced on the premise of ensuring the precision, and a low-power-consumption embedded platform is adapted; the robustness in a complex low-altitude environment is enhanced; and the cross-domain generalization ability is improved.