32results about How to "Narrow search" patented technology

The invention relates to a long-horned beetle natural enemy injection device and a using method thereof, and belongs to the technical field of long-horned beetle control, the long-horned beetle natural enemy injection device comprises a traction rod, a natural enemy storage pipe, a ventilation cover and filling glue, the ventilation cover detachably covers the open end of the natural enemy storage pipe, and the traction rod can movably penetrate through the connecting end of the natural enemy storage pipe; the traction rod is used for being inserted into a trunk boring hole and reserving a communication channel, the filling glue is arranged between the connecting end of the natural enemy storage pipe and the periphery of the trunk boring hole, and the filling glue is used for seamlessly sealing and bonding the traction rod, the connecting end of the natural enemy storage pipe and the periphery of the trunk boring hole. The long-horned beetle worm hole is positioned through the traction rod, a communication channel of the natural enemy and the worm hole is reserved, seamless sealing bonding of filling glue is matched, the natural enemy storage pipe and the worm hole are communicated to form a closed parasitic space, the search range of the natural enemy is greatly reduced, the natural enemy is forced to make contact with long-horned beetles in the worm hole, and therefore the parasitic efficiency and the prevention and control speed of the natural enemy are improved. The green prevention and control requirements of forest and fruit industries are met.

The present application discloses a VVC multi-directional motion refinement optimization method based on a Merge mode from the VVC inter prediction with a Merge process with a motion vector difference, which only has a small part of coding units (CUs) to search in a large step, and fails to consider the multi-directionality of the motion in the actual process. First, the first two MV information in the extended Merge candidate list is selected as the initial MV, and is expanded from four step lengths and eight directions; it is judged whether the current step length index is greater than 1, if yes, skip the chroma block motion compensation and the bi-directional optical flow prediction mode; otherwise, skip the chroma block motion compensation, and after the optimal Merge mode is obtained, entropy coding is carried out. Compared with the VVC coding standard, the average bit rate of Y, Cb and Cr is saved by 0.57%, 0.62% and 0.25% respectively by the VVC multi-directional motion refinement optimization method based on the Merge mode.

The invention discloses a DPE / INS quasi-deep combination method and system in a GNSS navigation domain, and the method comprises the steps: collecting a GNSS digital intermediate frequency signal through a hardware platform radio frequency front end of a GNSS receiver, inputting a local signal and the digital intermediate frequency signal into a correlator after determining a parameter search range of a local copied signal, and obtaining a PVT estimation result and covariance of a DPE receiver through maximum likelihood estimation; meanwhile, the PVT estimation result and covariance of the INS at the current moment are calculated through inertial navigation calculation, and the PVT estimation result and covariance of a DPE / INS combined system are obtained through combined filtering of the PVT estimation result and covariance of the DPE receiver and the INS and used for determining the parameter search center, the search range and the search step length of a local copy signal of the DPE receiver; a series of local replication signals are then determined. According to the method, the function of the INS sensor in the navigation domain of the DPE receiver is determined by utilizing the characteristic that the INS is not interfered by the environment, an interaction mechanism of the INS auxiliary information in the related domain and the navigation domain is established, and the interaction mechanism is named as a quasi-deep combination according to the characteristics of the architecture, so that the DPE receiver is effectively helped to narrow the search range and improve the precision.

This invention discloses a page-turning method, system, electronic device, and storage medium based on the binary search method, improving page-turning efficiency and user experience in scenarios with a large number of pages. The method includes: page-turning preprocessing: including setting intermediate variables to identify the page search range and the current page; initializing the page-turning interval and button availability: determining the overall page range of the data matrix, establishing an initial search interval, and setting the initial availability of the "forward" and "backward" buttons according to the initial page situation; iteratively executing page-turning operations and updating the search interval: the user triggers intermediate page calculation by clicking the "forward" or "backward" button, updates the search interval according to the positional relationship between the target page and the current page, and repeats this process until the target page enters the page-turning display bar; when the page-turning termination condition is reached, the iteration stops, the target page is located, and the page-turning process is terminated; the page-turning result is output, and the status of the "forward" and "backward" buttons is adjusted according to whether the page-turning boundary or upper limit has been reached.

This invention belongs to the field of license plate detection technology and relates to a license plate detection method based on a collaborative learning mechanism among license plate images. It leverages the strong consistency among license plate detection images in a dataset and employs an inter-scale collaborative attention mechanism to learn the consistency between the output features of different network layers in different license plate detection images. This ensures the interactivity of license plate features during the feature extraction stage, enabling the sharing of common features. Then, a semantic collaborative attention mechanism is used to learn the consistency between the high-level output semantics of different license plate detection images, allowing the network to narrow the search range of license plate features based on semantic features. Finally, a semantic-scale collaborative learning mechanism fuses the relationships between the network's semantic context, improving the accuracy of license plate detection in complex scenes. This method can be used not only for license plate detection in complex scenes but also for object segmentation and detection in complex scenes.

The invention relates to an express item video positioning method, computer equipment, a computer readable storage medium and a computer program product, which can be applied to the technical field of logistics. The method comprises the following steps: in response to a trigger operation for an abnormal event, determining a camera end identifier corresponding to a target express according to logistics routing information of the target express; according to a shooting time identifier in the unstructured information of the target express, determining a shooting time period corresponding to the shooting end identifier; obtaining candidate image feature vectors from an express feature database of a cloud system according to the camera end identifier and the camera time period; determining a target image feature vector of the target express item from the candidate image feature vectors according to similarity information between the reference image feature vector and the candidate image feature vectors; and positioning a target video of the target express item from the express item video according to a target camera terminal identifier and express item positioning information associated with the target image feature vector. By adopting the method, the express video positioning efficiency can be improved.

The application provides a train operation scheme compiling method and device based on a distributed robust chance constraint model, and the method comprises the following steps: taking the number of trains in a direct process as a decision variable, and constructing a distributed robust chance constraint model for train operation scheme compilation with the target of minimizing operation cost; the distributed robust chance constraint model is converted into a mixed integer linear programming model through linearization; the optimal value under the planning of a deterministic problem is calculated according to the passenger demand sample under the worst distribution, and an initial feasible solution is obtained according to the optimal value, wherein the initial feasible solution is used for representing the upper bound of the feasible region of the mixed integer linear programming model; the mixed integer linear programming model is solved according to the initial feasible solution, and a train operation scheme is obtained. In the case that the passenger demand cannot be accurately estimated, the method can still meet all passenger demands with a given probability, and realizes the fast and accurate compilation of a train operation scheme meeting the passenger demand.

This application discloses a search method and related apparatus. Based on acquired search terms, a search filtering tool is displayed, providing filter items that match the search terms. These filter items reflect the user's search preferences. Then, a target filter value is set to obtain the final degree of search preference. Based on the search terms and the target filter value, a target search result matching the user's search preferences is determined and provided to the user. This solution significantly narrows the search scope, greatly reducing the user's workload in judging search results, providing more accurate results, reducing time consumption, and improving search efficiency and experience.

The application discloses a low-computational-complexity underwater target motion parameter estimation method, and relates to the field of target motion analysis.The method comprises the following steps: establishing a target motion geometric model, and deducing a mathematical relationship among a target azimuth angle and target motion parameters,, and ; constructing a homogeneous linear equation group about the target motion parameters based on the mathematical relationship; collecting target time-azimuth history data, extracting a measured target azimuth angle from the target time-azimuth history data, and substituting the measured target azimuth angle into the homogeneous linear equation group to solve a non-zero solution and obtain a rough estimation value of the target motion parameters; taking the rough estimation value as a reference to narrow a search range of the target motion parameters; and performing a generalized Radon transformation on the target time-azimuth history in the narrowed search range to obtain an accurate estimation value of the target motion parameters.The method can effectively reduce the computational burden of directly performing the generalized Radon transformation method, and further improves the operation efficiency of target motion parameter estimation.

The invention discloses a submarine cable fault positioning method and a related device, and belongs to the technical field of submarine cable fault detection. The method comprises the following steps: acquiring a submarine cable fault distance, and determining a primary fault area three-dimensional coordinate according to calibration routing data; the area is detected, an original magnetic signal is obtained, and a target magnetic signal is obtained through interference removal processing; analyzing the abnormality of the target signal, determining candidate fault areas, and sorting the candidate fault areas; and controlling the underwater robot to carry out self-adaptive detection in sequence, and determining a fault point. Through multi-stage cooperation and intelligent analysis, rapid and accurate positioning of submarine cable faults from line to point is realized, and efficiency and reliability are improved.

The application relates to the technical field of automatic control of vehicle charging, and discloses a vehicle charging cover automatic positioning and charging method and system based on cascaded tracking, which can reduce the search range of the charging cover, avoid large-scale scanning of a mechanical arm, and improve detection efficiency by fusing the poses of multiple cameras, tracking the states, dynamically generating a charging cover constraint ROI in combination with vehicle structure prior, and further performing coarse detection on the charging cover in the ROI and starting re-detection according to the vehicle motion state when the charging cover is not detected, so that the continuity and stability of charging cover positioning can be improved; after the coarse positioning result is obtained, visual closed-loop fine positioning is performed through a visual sensor at the end of the mechanical arm, so that the cumulative error of the mechanical arm and the slight deviation of the vehicle can be corrected, and the accuracy and reliability of the cover opening, gun inserting and charging operations can be improved.

This invention belongs to the field of wireless communication and relates to a machine learning-based method for wireless communication channel estimation. The method includes: acquiring pilot signals, antenna array geometric parameters, and multipath propagation parameters from the transceiver end of a millimeter-wave massive MIMO system to construct a three-dimensional propagation structure model; determining candidate regions for the channel sparse support set and generating a prior constraint matrix for the channel sparse support; inputting the prior constraint matrix and pilot observation data into a sparse reconstruction algorithm for channel sparse feature extraction and dimensionality reduction; performing super-oscillatory feature enhancement on the dimensionality-reduced channel sparse features to form an enhanced channel feature vector; inputting the enhanced channel feature vector and the prior support vector matrix into a complex domain deep expansion network to output the channel estimation result; and outputting the final beamforming weights. Its beneficial effects are improved sparse support set matching accuracy and channel estimation precision with low pilot overhead, and enhanced system throughput and interference suppression capabilities.

The application relates to the photovoltaic power generation technical field, in particular to a photovoltaic equipment search method, a management module, a photovoltaic system and a storage medium, the method comprises the following steps: sending a first photovoltaic equipment search instruction to each photovoltaic equipment; based on a first receipt signal sent by a photovoltaic equipment which successfully competes for the first photovoltaic equipment search instruction, determining a first photovoltaic equipment in each photovoltaic string and realizing the search of the first photovoltaic equipment in each photovoltaic string, the first photovoltaic equipment is used for determining a second photovoltaic equipment located in the same photovoltaic string; based on the first photovoltaic equipment, sending a second photovoltaic equipment search instruction to each photovoltaic equipment to realize the search of the second photovoltaic equipment in each photovoltaic string; wherein the second photovoltaic equipment located in the same photovoltaic string as the first photovoltaic equipment participates in the competition. The application only searches the second photovoltaic equipment located in the same photovoltaic string, and the search efficiency is improved.

This application discloses an automatic analysis method for CT images of long bones in mice and rats, relating to the field of image processing technology. The method includes: acquiring a CT image sequence of the target long bone, extracting the three-dimensional spatial distribution of bone tissue, and performing pose alignment and three-dimensional cropping to obtain a standardized bone image sequence; then constructing candidate depth intervals based on butterfly-shaped anatomical features and key points of growth plate strip-shaped gaps, respectively, and obtaining a fine search range through intersection operation; subsequently identifying candidate slices of triangular fractures and determining the anatomical zero point; finally, mapping the target analysis region based on the anatomical zero point, completing cortical bone segmentation, medullary cavity segmentation, and trabecular bone extraction under closed mask constraints, and outputting quantitative parameters of bone tissue. This application achieves accurate positioning of the growth plate and unified analysis region mapping in long bone CT images, improving the accuracy of trabecular bone extraction and the consistency of bone tissue quantification results.

The present application relates to the technical field of spectral data processing, in particular to a plating solution component detection method and system based on spectral technology. The present application obtains candidate continuous wave bands; according to the distribution of absorbance corresponding to different wavelengths in each candidate continuous wave band and the absorbance stability distribution of different wavelengths, a reference scattering wave band is screened out; for any concentration, according to the detection spectrum at each moment and the absorbance distribution of different wavelengths in the reference scattering wave band, the initial corrected absorbance of each wavelength at each moment is obtained; according to the initial corrected absorbance distribution of each wavelength at the corresponding moment of different temperatures, the temperature correction coefficient of each wavelength is obtained; combined with the difference between the real-time temperature and the preset reference temperature, the final corrected absorbance of each wavelength is obtained, and the component of the plating solution is detected. The present application accurately obtains the final corrected absorbance after removing scattering and temperature fluctuation, and improves the precision of plating solution component detection.

The invention discloses a dynamic environment object searching method based on common sense and memory enhanced reasoning, and belongs to the technical field of robot object searching. The method comprises the steps that a robot obtains an article search task and historical interaction data input by a current user; rGB-D images of the surrounding environment are collected in real time, and various object instances are recognized; establishing a functional three-dimensional scene graph comprising a container layer, a movable object layer and a region layer according to the detected environment and object information; a hierarchical action space comprising a macroscopic level and a microscopic level is designed, a macroscopic action planning cue word is input into LLM according to current scene information, and the optimal next-step action of the robot is obtained; and repeating the steps until the task is completed or failed. According to the method, functional three-dimensional scene graph construction, layered action planning and a dynamic environment response mechanism are organically combined, and efficient target searching in a dynamic environment can be achieved.

The application provides a heuristic-based cell PCI planning method and system, relates to the technical field of PCI distribution and planning in a mobile communication network, and comprises the steps of multi-objective optimization model establishment, data acquisition and initialization, initial distribution, problem decomposition, parallel optimization and the like. Through the construction of an accurate multi-objective optimization model and the design of an efficient decomposition-parallel system solution framework, and in combination with a heuristic algorithm for quickly generating an initial feasible solution, a cell interaction graph model constructed based on each cell and its neighboring relationship data is segmented by using a graph segmentation algorithm, the multi-objective optimization problem is decomposed into multiple sub-optimization problems and solved by using a multi-objective evolutionary algorithm, the conflict and interference problems among neighboring cells can be effectively solved, the global optimization conflict, confusion and modulo 3 interference are solved while ensuring the solution efficiency and coping with a super-large-scale network, and finally a high-quality globally optimized PCI planning scheme is output, so that the overall network performance and user experience are improved.

The invention discloses an underwater target detection and positioning method and system based on a passive sonar array, and relates to the technical field of underwater acoustic signal processing. Acoustic signals radiated by an underwater target are received and divided into dense subarray data and sparse subarray data; performing a sparse Bayesian learning algorithm on the sparse subarray data, and outputting a high-precision fuzzy value; carrying out azimuth estimation on the dense subarray data in a full-angle range through a dense part to obtain a low-precision unambiguous value; and fusing the high-precision fuzzy value and the low-precision non-fuzzy value through an estimation matching model to obtain an orientation estimation result of the underwater target. According to the method, high-precision azimuth estimation is carried out based on the combination of the ternary co-prime array and the compressed grid sparse Bayesian learning, high-precision (but fuzzy) estimation is carried out by utilizing the sparse part of the TCA array, low-precision (but non-fuzzy) estimation is carried out by utilizing the dense part, and high-precision target azimuth estimation under low operand is realized.

The application relates to a server and a method for processing three-dimensional graphic files in a publishing format, the server is configured to: analyze the vector angle relationship between the center point coordinates of all geometries corresponding to each three-dimensional model and the center point coordinates of the corresponding three-dimensional model; compare the vector angle relationship in at least two three-dimensional models to preliminarily determine whether the spatial layouts of the at least two three-dimensional models are the same; in the case that the layouts of the two three-dimensional models are the same, a plurality of geometries contained in the two three-dimensional models are one-to-one matched according to a preset matching rule to obtain a plurality of pairs of matched geometries; and the geometries to be compared are sequentially determined whether they are consistent with each other according to a comparison sequence. The application greatly improves the efficiency and accuracy of three-dimensional model matching and searching.

This invention relates to the field of meteorological forecasting technology, specifically a meteorological forecasting adaptive optimization method and system based on multi-algorithm fusion. This method constructs a parameter optimization framework based on multi-algorithm fusion, embedding physical constraints, and possessing adaptive capabilities, aiming to systematically solve key problems in the parameter tuning process of traditional meteorological forecasting systems. This framework achieves efficient and intelligent optimization through a series of tightly linked steps, ensuring the effectiveness and stability of the method in operational scenarios. This process integrates preceding modules into a unified platform through a microservice architecture, automating data and control flows. The evaluation system includes historical backtesting, real-time forecast testing, and extreme weather-specific testing, quantifying forecast accuracy improvement, resource consumption optimization, and cross-scenario generalization capabilities. Results are fed back to a knowledge base to form a self-optimization loop, ultimately verifying the comprehensive advantages of this method in improving forecast efficiency, ensuring physical rationality, and operational applicability.

The application discloses a boundary scan test matrix generation method based on heuristic search, which comprises the following steps: firstly, counting the number of networks in the measured circuit board and calculating the normalized distance between any two networks; then, calculating the short-circuit probability between the networks through the normalized distance between any two networks, so as to construct a short-circuit probability matrix between the networks; then, setting a test matrix and generating a plurality of row test matrices according to the test matrix; finally, searching for the test matrix with the minimum cost through the establishment of a search tree based on the test cost and the heuristic function value.

The invention belongs to the technical field of industrial robot control, and discloses a real-time planning method and system for multi-joint collaboration and path optimization of an industrial humanoid robot, and the method comprises the steps: obtaining the joint motion state of the robot, the pose of an end effector and task target information, and then judging the contact state of the end; dynamically dividing the joints into a contact responsible joint group and a space adjusting joint group based on a kinematic model in a contact state; then, differential motion feasible regions are constructed for the two groups of joints, the feasible region of the contact responsible joint group is obtained through contact constraint and kinematics mapping, and the feasible region of the space adjustment joint group retains an inherent motion range and is adjusted in combination with collision constraint; and finally, carrying out collaborative path planning based on the differentiated feasible region, and generating a motion path of each joint. The method can balance the contact stability and the path feasibility, and improves the planning real-time performance and the adaptability to complex working conditions.

The invention belongs to the technical field of electric data processing, and particularly relates to a non-linear acceleration solving method and system based on displacement solution extrapolation, and the method comprises the steps: calculating the initial displacement vector of the ith load increment step through an extrapolation algorithm based on the initial displacement vector of the (i-1) th load increment step and the convergence displacement solution of the initial displacement vector, and i is greater than or equal to 2; taking the initial displacement vector of the ith load increment step as an iteration starting point, carrying out Newton-Rafson iterative operation until a convergence condition is met, and obtaining a convergence displacement solution of the ith load increment step; and solving all subsequent load increment steps in sequence until the calculation of all the load increment steps is completed. According to the method, a high-quality initial value closer to a real solution can be provided for Newton iteration, so that the search range of subsequent iteration is greatly reduced, the convergence speed is increased, and the overall execution efficiency of a nonlinear analysis process is remarkably improved while the numerical stability is ensured.

This invention discloses a method, apparatus, medium, and device for extracting financial announcement data, belonging to the field of data extraction. This application acquires preprocessed financial announcement data and user query requests, utilizes a multi-path recall mechanism (semantic segmentation, directory navigation, and keyword retrieval) combined with text structure features to filter out relevant contexts matching the query; then, it standardizes the tabular data in the relevant contexts using financial domain synonym mapping; finally, it inputs the standardized context into a large language model trained with supervised fine-tuning on a financial domain dataset, outputting a standardized structured extraction result, thus achieving efficient and accurate extraction and processing of financial announcement data. This application effectively solves the problem that existing technologies cannot accurately and efficiently extract financial announcement data.

The application discloses a kind of multi-expert architecture AI intelligent question and answer method and system in government field, comprising: A1: new policy text data, enterprise policy consultation question text data, historical policy answer example text data are collected and respectively preprocessed;A2: extracting new policy preliminary semantic features, then extracting explicit rule text segment set;A3: extracting the implicit constraint text corresponding to explicit rule text segment, then carrying out associated integration operation, obtain structured policy explicit and implicit rule text set;A4: extract historical case experience initial feature;Again, through government semantic bridging mechanism, complete semantic dimension alignment;A5: extract policy-case fusion feature;A6: calculate expert fusion weight vector, then decode, obtain policy question and answer reasoning result.The application can solve the problem that the AI question and answer effect is poor caused by the fact that the historical case experience cannot be quickly adapted after the traditional method is updated.

The invention discloses an AI image monitoring and evidence obtaining platform and electronic equipment, the AI image monitoring and evidence obtaining platform carries a plurality of AI large models, and after being started, the AI image monitoring and evidence obtaining platform executes the following processing: inputting image information of a preceding right to an image feature extraction large model to generate an image feature set, correcting and supplementing the image display information to obtain an expanded image feature set by combining the image feature expansion large model with the image display information, the sales verbal skill and the transaction feature information of the known infringement commodity; based on the extended image feature set, searching and recalling potential infringement commodity information on the e-commerce platform, and inputting the image information of the prior right and the potential infringement commodity information into an infringement comparison large model for comparison to obtain an infringement analysis result; if infringement is judged, evidence obtaining is carried out, and an evidence obtaining result is sent to a timestamp authentication service system to add a timestamp. According to the invention, the online store infringement evidence obtaining efficiency and accuracy can be improved.

The present application relates to the technical field of electric vehicle controller, and more particularly to an electric vehicle controller diagnosis method and system. By constructing the evolution trajectory manifold of the driving signal waveform data and identifying the abnormal evolution mode to distinguish the abnormal type attribution, a dynamic directed fault propagation graph is constructed and a differentiated modulation coefficient is applied, the reverse traversal graph is used to determine the fault source candidate node, and then the Granger causality strength is used to determine the real fault root cause position. The method can accurately diagnose the root cause of different types of controller faults and improve the accuracy and reliability of fault positioning.

This invention relates to the field of low-voltage electrical appliances, specifically to an operating device, wherein: the length, width, and height directions of the operating mechanism are d1, d2, and d3, respectively; the rotation axes of the trip fastener, locking fastener, and re-fastener are all parallel to direction d3 and arranged sequentially along direction d2; the first trip unit is arranged side-by-side with the operating mechanism along direction d3 and sequentially with the re-fastener along direction d3, and the second trip unit is arranged side-by-side with the operating mechanism along direction d1 and sequentially with the re-fastener along direction d1; the first trip unit is located on the same side of the re-fastener and the second trip unit in direction d3; on the projection of the operating device perpendicular to direction d3, the second trip unit is located on the same side of the operating mechanism and the first trip unit; the operating device has a compact layout of its two trip units and the operating mechanism, and the two trip units can be used to respond to faults in different circuit networks, facilitating fault diagnosis.

The utility model discloses an auxiliary pick -up device, including pick -up dish, first screen, second screen and waste liquid storage bucket, wherein the aperture of first screen is greater than the aperture of second screen, first screen includes connecting ring and screen A, and the connecting ring middle fixed connection screen A, second screen includes connecting cylinder and screen B, wherein the connecting cylinder inside lower position fixed connection screen B, through the mutual cooperation annular convex and annular gap in proper order pick -up dish, connecting ring, connecting cylinder, waste liquid storage barrel can be detachably connected together. The utility model discloses through the cooperation of first screen and second screen of different aperture, can effectively filter blood and impurity, and the quick enrichment egg crown hillock cell compound reduces the ova omission, promotes the pick -up efficiency and accuracy, and simultaneously, the device each component can be quickly disassembled and assembled, is convenient to operate and has improved the overall stability and convenience, provides more efficient, reliable pick -up means for laboratory technician.

This invention discloses a behavior recognition method, apparatus, device, and storage medium. The method includes: obtaining an initial motion vector difference between a first video frame and a second video frame based on video stream data corresponding to a behavior to be recognized; the first video frame being the preceding video frame of the second video frame; if the behavior to be recognized satisfies preset conditions, obtaining first image data corresponding to the behavior to be recognized that satisfies the preset conditions; fusing the initial motion vector difference and the first image data to obtain target information; and performing behavior recognition on the target information to obtain a recognition result corresponding to the behavior to be recognized.