29results about How to "Avoid searching" patented technology

The invention discloses a DOA estimation method for a nested array structure, and the method comprises the steps: receiving data through a nested array, and calculating a covariance matrix of a received signal; vectorizing the covariance matrix of the received signal, and sorting and deleting a redundant part to obtain a virtual array received signal; extracting a continuous part of a virtual array receiving signal to obtain a receiving signal of a continuous virtual array; obtaining a received signal covariance matrix of the continuous virtual array through a spatial smoothing method; and carrying out eigenvalue decomposition on the covariance matrix to obtain a noise subspace, and constructing a rooting MUSIC formula to obtain a root and a corresponding DOA estimation result. According to the method, higher estimation precision can be realized, a spectrum peak search process is avoided, and the calculation complexity is relatively low.

The invention is suitable for the technical field of data search, and provides a data search method and device for an electromagnetic signal image-text, equipment, a medium and a product, and the method comprises the steps: obtaining a target electromagnetic signal image and target text content corresponding to to-be-searched data through employing an image-text generation model; extracting image semantic features of the target electromagnetic signal image and text semantic features of the target text content; fusing the image semantic feature and the text semantic feature to obtain a target image-text semantic feature; searching target reference image-text semantic features corresponding to the target image-text semantic features from a retrieval map corresponding to a knowledge base; and in the knowledge base, determining the reference electromagnetic signal image or the reference text content corresponding to the target reference image-text semantic feature as a search result of the to-be-searched data. The accuracy of searching the electromagnetic signal image is improved through searching the image-text semantic features and the retrieval atlas.

The invention discloses a transmission tower engineering drawing size text recognition method and device, terminal equipment and a computer readable storage medium. The method comprises the steps that a to-be-recognized tower engineering drawing is acquired; inputting a to-be-recognized tower engineering drawing into the trained size text position recognition model, so that the size text position recognition model performs size text position recognition on the to-be-recognized tower engineering drawing to obtain each size text box position in the to-be-recognized tower engineering drawing; extracting an image corresponding to the position of each size textbox in the tower engineering drawing to be identified as a target detection image; and inputting the target detection image into the trained size text information recognition model, so that the size text information recognition model performs size text information recognition on the target detection image to obtain corresponding first size text information. By implementing the method, low efficiency and inaccuracy of manual operation are avoided, and the efficiency and accuracy of tower engineering drawing processing are improved.

The invention provides a double-slope linear frequency modulation continuous wave altimeter with a one-way broadcast communication function. The altimeter comprises a microprocessor, a transmitting assembly and a receiving assembly. The microprocessor controls the two microwave modules to respectively generate linear frequency modulation continuous waves at two different slopes, and the linear frequency modulation continuous waves are combined and then emitted; and after the altimeter receives a ground echo signal, multiplying a transmitting signal by the echo signal to obtain a beat signal, analyzing a frequency spectrum of the beat signal, searching two frequency spectrum targets according to two frequency spectrum peak values, calculating two height measurement values by combining the frequency and the slope, and performing data processing to obtain an output height value. A ground receiver obtains a ground beat signal according to a local signal and a received signal, analyzes the frequency spectrum of the ground beat signal to find two frequency spectrum targets, and judges the amplitudes of the two frequency spectrum targets to analyze binary data modulated by an altimeter. According to the invention, the reliability and the anti-interference capability of the altimeter are improved, and a low-cost broadcast communication function is realized.

The application provides a method for searching exposure time and a quantum efficiency measuring system, comprising: a data processing module configured to configure fixed parameters of an image acquisition module and wavelengths of a wavelength configuration device; the image acquisition module is controlled to determine a candidate exposure time set according to a search step and an initial value of exposure time; after the wavelengths of the wavelength configuration device are configured, single-band light configured by the wavelength configuration device is received through an optical fiber bundle; a target exposure time is selected from the candidate exposure time set multiple times; images are captured multiple times under the environment of the wavelength of the wavelength configuration device; if the images do not occur light cutoff and satisfy a preset image saturation constraint condition and an image linearity constraint condition, the target exposure time is taken as a set of exposure times corresponding to the current wavelength; and a set of exposure times corresponding to the wavelength of each wavelength configuration device is searched until a set of exposure times corresponding to the wavelength of each wavelength configuration device is searched. The method is used to accurately search for exposure time meeting the linearity requirement.

The invention discloses an integrated management system and method for defective products with chips, and the system comprises a server, a code scanning unit, a defective product integration unit, a printing unit, and a QC unit. The signal output end of the code scanning unit is connected with the signal input end of the server, and the signal output end of the server is connected with the signal input ends of the defective product integration unit, the printing unit and the QC unit. The defective products are integrated through the integration unit, so that a worker can automatically trace all defective product information of a current lot or a customer batch number and display a list, all defective products of the batch or the customer batch number and corresponding rack position information can be inquired, and the work efficiency is improved. The situation that defective product rack position information is manually searched one by one through a system is avoided, and manpower is saved.

This invention discloses a probabilistic input difference system optimization method for Keccak internal difference analysis. The method includes: offline construction of a k-local cost table to record the candidate input difference space, linear constraint representation, and corresponding cost corresponding to the S-box output difference of Keccak; querying the k-local cost table based on the target output difference to select candidate input difference spaces and their linear constraint representations, and constructing a probabilistic input difference system; performing consistency judgment, rank calculation, degree of freedom evaluation, and complexity evaluation on the probabilistic input difference system, and outputting candidate constraint combinations that meet preset conditions and their corresponding probabilistic input difference systems. Compared with existing technologies, this invention reduces invalid candidate enumeration during the construction of probabilistic input difference systems, improves the automation efficiency of selecting candidate input difference spaces and their linear constraint representations, solves the problems of lack of global evaluation in candidate linearization constraint selection, and excessively high rank of capacity constraints or insufficient message degrees of freedom.

The utility model provides a vehicle power detection platform. The vehicle power detection platform comprises a first detection assembly, a second detection assembly and a wheel base adjusting structure arranged between the first detection assembly and the second detection assembly. Wherein the first detection assembly and the second detection assembly are arranged side by side, and the top of the first detection assembly and the top of the second detection assembly can be in contact connection with wheels; the axle distance adjusting structure comprises a first axle distance adjusting support and a first axle distance adjusting frame, the first axle distance adjusting support is arranged at the corresponding position of the front side or the rear side of the first detection assembly and the second detection assembly, and the first axle distance adjusting frame is arranged between the first detection assembly and the second detection assembly. The device can simulate different application scenes of the vehicle, and is simple in structure and high in efficiency.

The present invention proposes a method for calculating high-resolution SAR imaging parameters. The method takes parameters such as imaging scene position, imaging synthetic aperture duration, sliding factor, minimum repetition rate, maximum repetition rate and the like as input conditions, and respectively calculates the zero Doppler center moment of the imaging scene and the imaging start and end times through a satellite-ground geometric model, and selects and outputs a repetition rate that meets SAR imaging performance indicators within an imaging arc segment with a fixed time step, thereby reducing the number of calculation overheads and avoiding a return iterative search process, saving storage resources, being suitable for implementation in a satellite-borne environment under resource-constrained conditions, and being convenient for deployment and implementation of satellite-borne hardware. The present invention can realize sliding beam imaging modes with different imaging resolutions and imaging widths by modifying parameters such as imaging synthetic aperture duration, sliding factor, minimum repetition rate, maximum repetition rate and the like, and integrates performance indicator calculation, having the characteristics of integrated wave position design.

The present invention discloses an intelligent multi-scale registration method for cross-modal remote sensing images for complex ground scenes, and belongs to the field of aerospace remote sensing image processing and computer vision technology. On the one hand, the present invention improves the robustness of the similarity metric for cross-modal remote sensing image representation by aligning modal alignable structures and filtering structures that are difficult to align between modalities; on the other hand, by adopting a coarse-to-fine multi-level matching strategy, it effectively avoids searching for each pixel in the area, improves the search efficiency, and also avoids the missed matching phenomenon caused by the method of too strong a priori region. Through the above two aspects, the present invention achieves efficient acquisition of high-precision pixel-level matching between cross-modal remote sensing images.

The invention discloses a cable-stayed bridge reasonable finished bridge state prediction method and system based on deep learning, and the method comprises the steps: S1, determining a cable-stayed bridge building target, collecting historical cable-stayed bridge finished bridge state data, defining a state space of a cable-stayed bridge reasonable finished bridge state prediction model, and carrying out the initialization of the state space; s2, constructing a finite element model of the cable-stayed bridge, and calculating stress parameters and deformation parameters of the cable-stayed bridge; s3, generating an original morphological image of the cable-stayed bridge, performing preprocessing, extracting morphological characteristics of the cable-stayed bridge, and enhancing a state space to obtain an enhanced state space; s4, defining an action space, a value function and a reward function of the cable-stayed bridge reasonable finished bridge state prediction model; and S5, reinforcement learning training is carried out on the reasonable finished bridge state prediction model of the cable-stayed bridge, and a state space after training is finished is used as a reasonable finished bridge state of the cable-stayed bridge. The problems that a traditional cable-stayed bridge finished bridge state calculation method depends on manual calculation, and calculation is complex are solved.

The present invention provides a vertical government affairs big model service method and system based on knowledge retrieval, which relates to the field of big model technology, including performing word segmentation and semantic understanding on the natural language query through a natural language processing model, extracting the query intent, and determining the vertical field to which the natural language query belongs according to the query intent; using an attention mechanism to deeply match the query semantic representation corresponding to the query intent with the knowledge node, and obtaining the top‑K knowledge nodes most relevant to the query semantic representation through a jumping knowledge graph reasoning method; starting from each most relevant knowledge node, a credibility propagation network is constructed in combination with the vertical knowledge graph, and by setting the initial credibility of the most relevant knowledge node, the credibility of each most relevant knowledge node in the propagation process of the credibility propagation network is iteratively calculated, and the most relevant knowledge nodes whose credibility scores exceed a preset credibility threshold are summarized as target reply content.

The present application belongs to the technical field of synthetic aperture radar imaging, and particularly relates to a method for estimating and relocating radial velocity of a moving target in a terahertz circular SAR. The present application extracts the time-frequency line of the distance unit where the moving target is located to obtain the Doppler center frequency of the moving target, estimates the radial velocity of the moving target through the Doppler center frequency, constructs a distance walk compensation function according to the estimated radial velocity to compensate for the offset generated in the azimuth direction of the moving target, and accurately realizes the relocation of the moving target. In addition, the present application only involves simple arithmetic operations and does not involve a long parameter search process, and has higher efficiency.

Embodiments of the present disclosure disclose an adaptive memory conversion method and device for a distributed file system. A specific implementation of the method comprises: dividing a metadata set in a target directory to obtain a metadata subset group; setting a corresponding memory data structure form for each metadata subset; determining a target metadata subset; executing a corresponding access processing flow on the target metadata subset to obtain and output a final access result; obtaining access feature sets and system resource states of each metadata subset in the metadata subset group in real time to obtain a directory index set; determining memory data structure form conversion instructions corresponding to metadata subsets to be converted in the metadata subset group to obtain a conversion instruction set and a to-be-converted metadata subset group; and performing data reconstruction on the to-be-converted metadata subset group to obtain a converted metadata subset group. The implementation can improve memory utilization, reduce redundant memory occupation, and reduce unnecessary data access overhead.

The invention relates to a page anchor point determination method and device, computer equipment, a storage medium and a computer program product. The method comprises the steps of obtaining a current display area in response to a switching operation on a target page display area, and determining whether a preset area of the current display area has a preset page anchor point identifier or not; under the condition that a preset page anchor point identifier exists in a preset area of the current display area, determining a page anchor point corresponding to the page anchor point identifier as a target page anchor point; under the condition that the preset page anchor point identification does not exist in the preset area of the current display area, respectively obtaining the distance between each preset page anchor point identification in the target page and the preset area of the current display area; and determining a target page anchor point according to the distance between each page anchor point identifier and a preset area of the current display area. By adopting the method, the efficiency and accuracy of confirming the anchor point of the target page can be improved.

This invention provides an aortic pre-fenestration branch guidewire guidance system, comprising a central catheter, a capture ring, and a sliding cannula. The capture ring is connected to the outer wall of the central catheter. The sliding cannula is coaxially sleeved on the outside of the central catheter and can slide along the axial direction of the central catheter. When the sliding cannula moves proximally, the capture ring is released from the constraint of the sliding cannula and unfolds radially outward of the central catheter, thereby forming a capture opening that can accommodate the target guidewire. When the sliding cannula moves distally, the sliding cannula radially compresses the capture ring in its unfolded state, forcing the capture ring to undergo radial compression deformation. The radial compression deformation of the capture ring reduces the cross-sectional area of ​​the portion surrounding the target guidewire, thereby clamping the target guidewire and improving the success rate.

The application belongs to the technical field of millimeter wave radar signal processing, and provides a DOA and distance parameter estimation method for near-field target positioning, comprising: receiving near-field target signals by using an array of linearly distributed array elements; wherein the number M of linearly distributed array elements in the array is greater than the number K of near-field target signals to be measured; establishing a near-field model to generate a training data set and a test data set; constructing an NFLnet network structure; the NFLnet network structure is obtained by training and testing the training data set and the test data set; obtaining an output matrix G based on the NFLnet network structure; obtaining a distance-angle two-dimensional spectrum based on the output matrix G, and determining a loss function; and minimizing the loss function to train the NFLnet network structure. By using the technical scheme of the application, the problem of solving the distance-angle coupling term parameters can be effectively solved, the high-complexity two-dimensional spectrum peak search can be avoided, and the advantages of high robustness and low complexity are achieved.

The invention discloses a phasor concentrator real-time data segment processing encoding and decoding method, which comprises the following steps of: determining state field decoding information and data block decoding information in a real-time data frame of a corresponding collector according to a configuration frame 1 of the collector; decoding state field data according to the state field decoding information, storing the state field data in a real-time data cache region, and copying a data block and storing the data block in the real-time data cache region according to the data block decoding information; verifying the validity of a configuration frame 2 issued by the master station, and forming a data segment mapping information table according to a verification result; and after starting to transmit the real-time data to the master station, acquiring the state field data and the data block from the real-time data cache region for processing to form a complete real-time data frame and uploading the complete real-time data frame. When the real-time data of the collector are processed, the real-time data are prevented from being completely decoded according to data measuring points; when real-time data is sent to a master station, the processes of searching according to data measuring points and complete coding are avoided; the analysis, coding and decoding efficiency of real-time data processing of the phasor concentrator is effectively improved.

The invention discloses a Bluetooth multi-frequency distance measurement method, a distance measurement device and a computer readable storage medium. The Bluetooth multi-frequency distance measurement method comprises the following steps: acquiring fuzzy phase information measured under a plurality of different frequencies; on the basis of a first number of frequencies selected from the frequencies corresponding to the fuzzy phase information and phase values of the frequencies, calculating a non-fuzzy coarse distance estimation value through a first algorithm; wherein the first algorithm is configured to analyze the integer ambiguity of the phase; based on the second number of frequencies and the corresponding band simulation phase information, calculating a high-precision distance estimation value through a second algorithm; wherein the second algorithm is configured to suppress the influence of the phase ambiguity on the distance calculation precision by processing the decimal part information in the period with the ambiguity phase value; and carrying out weighted fusion on the coarse distance estimation value and the high-precision distance estimation value, and outputting a final distance measurement result.

This invention discloses an online scalable configuration method and system for dynamically changing time-sensitive networks (TSNs), relating to the Internet of Things (IoT) field. The invention proposes an efficient inter-flow conflict detection mechanism based on multi-level flow grouping. By using a correlation analysis of flow period and offset, it avoids traditional conflict detection methods based on link maximal cliques and link hyperperiods, enabling rapid response to large-scale data flow conflict detection needs. It designs an online incremental method based on decoupling routing and scheduling, as well as offline pre-routing, accelerating the computation speed of routing and scheduling schemes while ensuring scheduling space. This invention reduces the computational complexity of data flow set hyperperiod sensitivity and the maximum link slot occupancy in TSNs, accelerating online scheduling and providing efficient conflict detection support for online scalable configuration.

The invention relates to a vector search method in a filtering scene based on scalar and vector combined navigation, which comprises the following steps of: dividing a data set according to a label set associated with each vector, and classifying the vectors with the same label set into one group; constructing a directed acyclic graph, namely a label navigation graph LNG, based on the relationship of the minimum supersets among all the label sets for determining an entrance label set; constructing cross-group edges according to edges in the label navigation graph, constructing a neighbor graph by using an existing ANNS algorithm, and merging to obtain a unified label navigation graph UNG; and obtaining query vectors, directly covering the entry tag set of the query tag set by retrieving, and executing greedy search from the entry vectors to obtain a search result. Compared with the prior art, the method has the advantages that the search efficiency can be improved while the accuracy is ensured, various labels can be supported, and the method is adaptive to various graph-based ANNS algorithms.

The invention relates to a scalable and compressible neural network data storage system. A system for compressed data storage using a neural network. The system includes a memory including a plurality of memory locations configured to store data; a query neural network configured to process a representation of an input data item to generate a query; an invariant key data store comprising key data for indexing a plurality of memory locations; an addressing system configured to process the key data and the query to generate a weighting associated with the plurality of memory locations; a memory read system configured to generate output memory data from the memory based on the generated weights associated with a plurality of memory locations and data stored at the plurality of memory locations; and a memory write system configured to write the received write data to the memory based on the generated weighting associated with the plurality of memory locations.

The present application relates to a medical image processing method, device, computer equipment and readable storage medium, the method obtaining a first identifier of a medical image to be stored; if the type of the medical image to be stored is determined to be a fused medical image according to the first identifier, determining the storage path of the medical image to be stored according to the second identifier of the medical image to be stored; storing the medical image to be stored according to the storage path. The medical image processing method provided by the present application can avoid directly searching for the medical image to be obtained in a large number of medical images, can reduce the time for medical staff to obtain medical images, and thus can improve the work efficiency of medical staff.

The utility model provides a medical instrument box with a classification function, and relates to the technical field of medical instrument boxes, the medical instrument box comprises a shell, a collecting box is slidably connected in the shell, a buckle is rotatably connected to the side face of the shell, a placing frame is slidably connected in the collecting box, a partition plate is slidably connected in the collecting box, and the buckle is rotatably connected to the side face of the shell. By arranging the partition plate, the limiting rod, the push plate, a spring, a rotating plate, a handle, a connecting rod, a pulling plate, a tension spring and a limiting clamp, different instruments or articles can be placed in a classified mode, and the situation that when people need to use the instruments or articles in an emergency mode, the instruments or articles can be placed in a classified mode is avoided. According to the instrument box, people need to search in the box body, the taking convenience is reduced, rapid taking is facilitated through the unfolded structure, different objects can be conveniently stored through the mode of adjusting the partition plates, and the practicability of the instrument box is improved.

The invention discloses an ISAR (Inverse Synthetic Aperture Radar) range envelope alignment method and system based on phase difference, and belongs to the technical field of radars. The method comprises the following steps: sampling echo signals after pulse compression one by one, estimating and compensating adjacent sampling average phase change; partitioning azimuth signals in a distance frequency domain, respectively adding rectangular windows by taking zero frequency as a boundary, and sampling in each azimuth to generate an upper sideband signal and a lower sideband signal; performing three-time conjugate multiplication on four adjacent sampled signals to obtain a differential signal; obtaining an adjacent offset through maximum likelihood estimation by using the differential signal; aligning the adjacent envelopes according to an estimation result; and after the aligned envelopes are accumulated, the steps are repeated for recursion with the next sample, and finally, envelope alignment of all the samples is completed. According to the method, the sub-pixel-level distance envelope alignment precision can be realized without up-sampling and interpolation operations, and the problem of echo generation caused by amplitude modulation in a traditional amplitude dependent algorithm is effectively avoided.

The present invention discloses a report rendering method and system based on data analysis, and belongs to the technical field of report rendering. The present invention obtains the page request to be rendered of the client using the same online target report, identifies the target report element information in each client's page request to be rendered, and adds a client identifier to the target report element feature in the target report element feature set; divides the target report element feature into a first rendering feature and a second rendering feature, and associates the first rendering feature with the second rendering feature; sorts the second rendering feature in combination with the client information corresponding to the client identifier to generate a second rendering feature sequence; renders each page request to be rendered according to the second rendering feature sequence and a preset report rendering template. Reduce user waiting time; improve the user experience of the first client; prevent multiple renderings of repeated content, and improve overall rendering efficiency.

The application discloses a collaborative design method and system of a power semiconductor device, and relates to the field of computer-aided design, and comprises the following steps: constructing a machine learning agent model composed of a process implementation mapping model and a device physical agent model in series, and simulating and verifying the device-process-circuit multi-domain characteristics of the power semiconductor device; when the machine learning agent model calibrated in a source foundry is migrated to a target foundry, the parameters of the device physical agent model are kept unchanged, and only the process implementation mapping model is refitted with the characterization samples of the target foundry; multi-objective optimization is performed on the device physical agent model, physical structure parameters and doping profiles are obtained, which make the electrical characteristics fall into respective target intervals, and then the design intention parameters of the target foundry are calculated reversely through the refitted process implementation mapping model and are output after verification. The application solves the problem of optimization direction deviation when the same power semiconductor device is migrated between different foundries.

The invention discloses a PCB two-end wiring method based on ant colony bidirectional search, a medium and a PCB two-end wiring device, and mainly solves the problems of long time consumption and low wiring efficiency of PCB two-end wiring of a traditional ant colony algorithm. According to the implementation scheme, a layout-completed PCB design drawing is topologically changed into a grid diagram, and the positions of circuit pins for wiring at the two ends are determined on the grid diagram; determining a public target point to be reached by the ant colony in the bidirectional search according to the pin position; the ant colony is divided into two populations with different search directions, and ants in each population search towards a public target point; determining adjacent points of ants in the searching process on the grid chart, and calculating the probability that each adjacent point is selected so as to determine the next adjacent point of ant colony searching movement; and repeating the above steps until all ants in the two populations reach the common target point. According to the method, the wiring time can be greatly shortened, the number of inflection points of wiring is further reduced on the premise of ensuring the shortest wiring path, the wiring efficiency is improved, and the method can be used for designing an integrated circuit.