57results about How to "Improve matching efficiency" patented technology

The invention relates to a vibration excitation method and system based on impedance identification, and the method comprises the steps: carrying out the frequency domain conversion of force-speed data obtained by a displacement closed-loop system, and obtaining the mechanical impedance of a drive point; performing flexibility compensation on the mechanical impedance of the driving point to obtain the real impedance of the structure end; extracting an imaginary part and constructing a matching residual error by using the real impedance of the structure end, correcting the excitation frequency of the current vibration exciter through gradient frequency, and iteratively determining the optimal excitation frequency of the vibration exciter meeting a convergence condition; mechanical active power generated by the vibration exciter is calculated under the optimal excitation frequency, dual-target optimization is carried out on the amplitude of the vibration exciter, and the optimal amplitude with the maximum mechanical active power and the minimum equivalent output of the actuator is obtained; based on the real impedance of the structure end, the matching criterion and the optimal amplitude, variable parameters are introduced to construct a source-side impedance model, a source-side impedance matching frequency domain interval is expanded through slow time mark setting parameters, and mechanical active power generated by a vibration exciter is coupled to a tested structure.

The application provides a typhoon historical disaster case matching method and device, computer equipment and medium, and relates to the field of data processing. The method comprises the following steps: acquiring real-time disaster data of a current typhoon disaster; inputting the real-time disaster data into a pre-trained water conservancy large model, and outputting a target typhoon historical disaster case matched with the real-time disaster data through the water conservancy large model; specifically, extracting first multi-dimensional features of the real-time disaster data and converting them into a first feature vector; calling a first typhoon historical disaster case preliminarily matched with the real-time disaster data, extracting second multi-dimensional features of the first typhoon historical disaster case, and converting them into a second feature vector; screening second typhoon historical disaster cases meeting the constraint conditions of water conservancy projects from the first typhoon historical disaster case; calculating the similarity between the real-time disaster data and each second typhoon historical disaster case; and determining the matched disaster case according to the similarity from high to low.

The embodiment of the application provides a financial document question and answer method and device based on a label hierarchical knowledge graph, and belongs to the technical field of artificial intelligence. The method comprises the following steps: acquiring original question data input by a target object; constructing a label hierarchical knowledge graph based on a preset financial field resource information base; performing label query on the original question data based on the label hierarchical knowledge graph to obtain a target graph label; performing document query on the financial field resource information base based on the target graph label to obtain an initial query document; performing document screening on the initial query document to obtain a target query document; performing text generation based on the target query document to obtain target financial reply content; and replying to the target object based on the target financial reply content. The embodiment of the application can improve the efficiency and accuracy of question and answer generation in the financial field.

The application discloses a DDoS attack cloud-edge cooperation defense method and system based on a neural network, wherein a plurality of SOM models are trained in the cloud, an optimal SOM output layer structure is determined by means of entropy measurement, a network controller in an SDN is registered in advance in the cloud, model parameters are issued and deployed to the SDN network controller registered in advance in the cloud, the traffic of the physical equipment of the edge of the network is detected and screened in multiple stages in a time manner, the network traffic is divided into three types of normal, abnormal and suspicious by the SOM model, and the network traffic of the suspicious type is further identified in a fine-grained manner by a KD tree. The SOM training and DDoS detection method based on the cloud-edge cooperation is suitable for an industrial internet scene of an SDN network architecture, can effectively detect the incoming network packets in real time on the basis of reasonably utilizing the computing power of the physical resources of the edge network, and improves the identification accuracy.

The application discloses a retrieval method and related device. According to a to-be-retrieved input string, prefix matching is performed in a target dictionary tree to obtain a target leaf node. According to a remaining string of the to-be-retrieved input string, each full string in a data file corresponding to the target leaf node is checked to obtain a checking result of each full string, the checking result being used to indicate whether the corresponding full string matches the to-be-retrieved input string. If the checking result indicates that a target full string in the data file matches the to-be-retrieved input string, a word corresponding to the target full string is determined as a candidate of the to-be-retrieved input string. The application combines the target dictionary tree and the data file to perform retrieval, the target dictionary tree has the characteristic of high retrieval efficiency, and meanwhile, since the remaining string is a partial string of the to-be-retrieved input string, the time for performing retrieval in the data file is also reduced. Therefore, the retrieval efficiency and retrieval performance are improved, even the response performance of the entire input method is improved, and the input experience is improved.

The utility model relates to a kind of split type electric control silicon oil fan structure, it relates to the technical field of automobile parts design, it includes engine, fan bearing seat, electric control silicon oil clutch and fan blade connected in turn, electric control silicon oil clutch includes the driving disc for indirectly connecting engine power output shaft and the driven disc for connecting fan blade, driving disc and driven disc pass through working medium transmission power between, form split structure.The utility model provides the electric control silicon oil fan structure with low development cost, short matching period, facilitate the quick application of electric control silicon oil fan on vehicle.

The invention relates to a quintuple matching method and device, computer equipment and a readable storage medium. The method comprises the steps that under the condition that a target quintuple of a to-be-processed message contains an internet protocol IP address, the IP address contained in the target quintuple is matched with a target IP filtering table to obtain an initial query address, the target IP filtering table stores the IP address associated with each IP matching rule table and the query address in a memory, and the initial query address is stored in the memory; the IP addresses of the quintuple matching rules associated with the same IP matching rule table are the same, determining a hierarchical query strategy of the target quintuple according to the quintuple information type contained in the target quintuple, and performing rule matching on the target quintuple by adopting the hierarchical query strategy and the initial query address. By adopting the method, the matching efficiency of the quintuple can be improved on the basis of reducing the access times of the memory.

This application relates to an image feature recognition experimental method and apparatus, belonging to the field of image feature recognition technology. It involves real-time acquisition of images of an experimental scene and preprocessing them to obtain clear, continuous frame images. Based on these, a tracking and locking operation is performed on a dynamic target to ensure the target remains within the effective monitoring field of view. Subsequently, precise target feature data is extracted from the locked target detection image, and hierarchical cross-matching evaluation is performed using a dual-library standard feature library, including both local and cloud-based libraries. Finally, a corresponding feedback signal is generated based on the evaluation results. This application, through a dynamic tracking and locking mechanism, can adjust the image acquisition angle in real time, ensuring the dynamic target remains continuously within the monitoring field of view. This avoids field-of-view shift and target loss under fixed-angle acquisition, effectively solving the defect of dynamic target field-of-view loss. It also addresses the problem of delayed response in security status determination caused by existing technologies relying on a single local feature library.

The invention discloses a time sequence analysis-based model printing pigment matching method and system. The method comprises the following steps of: obtaining a plurality of pigment use records of a to-be-sliced model in a historical time period; on the basis of task parameters corresponding to each pigment use record, preprocessing all the pigment use records to obtain a pigment record sequence; predicting a prediction matching pigment set of the to-be-sliced model according to the pigment record sequence based on an LSTM neural network; and according to the predicted matching pigment set, determining a pigment matching operation of the to-be-sliced model. It can be seen that accurate pigment matching management based on historical data and time sequence prediction can be achieved, the accuracy and matching efficiency of pigment use of the to-be-sliced model are improved, and the printing defect risk caused by improper pigment matching is reduced.

The invention provides a load driving circuit, a load driving method and a driving chip, the circuit comprises an excitation generation circuit, a current detection circuit and a control circuit, the excitation generation circuit receives a waveform control signal output by the control circuit, and the current detection circuit detects the current based on the waveform control signal. The DC input voltage is converted into an excitation signal and adjusted to the optimal frequency, the current detection circuit determines a load effective current value based on a load current detection signal, and the control circuit controls the current excitation signal period and the last excitation signal period based on the variable quantity of the load effective current value of the current excitation signal period. And determining whether the excitation signal of the current excitation signal period meets the optimal frequency condition, if not, determining the frequency adjustment amount based on the variable quantity, updating the waveform control signal of the current excitation signal period based on the frequency adjustment amount, and stopping updating until the optimal frequency condition is met. The circuit can improve the matching accuracy and matching efficiency of load energy, and can also realize black box operation.

The utility model discloses a kind of hard alloy tool bit and tooth body continuous brazing equipment, it is related to brazing technical field, including mounting block, the both sides of mounting block are fixedly connected with heater, the opposite side of heater is provided with tooth body, a plurality of notches for tool bit body brazing are set on the tooth body, the top of mounting block is rotatably connected with support block, and the top of support block is fixedly connected with supporting block.The utility model is equipped with limiting component, by cylinder two, slider can be controlled to slide along the bottom of supporting block, so as to drive connecting rod rotation, so that moving frame is mutually close, until driving limiting rod is attached to the side of tooth body, at the same time, the bottom side of moving frame is attached to the side of tool bit body, it is favorable to position correction to tool bit body, so that supporting block moves always keep and notch alignment direction advance, so as to not need manual calibration, improve the matching efficiency and precision of tool bit body and notch.

The application provides an IP address range-based data processing method and device. The IP address range-based data processing method comprises the following steps: obtaining a first IP address range; determining a common prefix of a start IP and an end IP of the first IP address range and a length of the common prefix; generating a temporary node based on the common prefix and the length; comparing the temporary node with a target node of a binary tree to determine a target position to which the temporary node is to be inserted into the binary tree; wherein the binary tree comprises at least a plurality of nodes storing attribute characteristics of different IP address ranges; inserting the temporary node into the binary tree at the target position and storing attribute characteristics of the first IP address range to the temporary node to obtain an updated binary tree. The above-mentioned method can quickly update and construct the binary tree, and the binary tree constructed in this way has the advantages of high matching efficiency and high matching accuracy when matching with a received message, thereby effectively reducing the cost of maintaining a network.

The invention provides a current grounding fault direction judgment system and method, and relates to the technical field of fault recognition, and the method comprises the steps: integrating the feature codes of a fault region into a data set through a region module, marking region characters, transmitting the data set to a matching module, and carrying out the recognition of a current grounding fault. After the processing center receives the characters transmitted by the area module, the processing center enables the historical data block to integrate the historical fault data corresponding to the characters and the feature codes into a fault set according to the characters, enables the historical database to transmit the fault set to the matching module, and the matching module carries out data matching on the data set and the fault set. Through the system, the feature code of the fault area only needs to be compared with the fault set in the corresponding area in the historical data frame and does not need to be compared with all the fault sets in the historical data frame, the data comparison process is simplified, the fault data comparison efficiency is improved, and the fault point of line segment current grounding can be quickly positioned.

The invention relates to the technical field of communication, and discloses a client request scheduling and communication method and system based on a communication connection pool, and the method comprises the steps: building a plurality of initial communication connection channels in a pre-built communication connection pool through a communication scheduling system; receiving a service request sent by a client, and carrying out request legality verification on the service request; when the request validity verification is passed, according to the obtained connection pool information of the communication connection pool, executing a connection distribution operation on the service request to obtain a target communication connection channel matched with the service request; and sending the service request to the server through the target communication connection channel, and triggering the server to analyze the service request and execute the service processing logic corresponding to the service request so as to complete the service request. According to the invention, efficient, stable and controllable two-way communication between the client request and the back-end service can be realized by establishing the communication connection pool and combining distribution control.

The invention belongs to the technical field of computer vision, and relates to a VSLAM feature point matching method and system based on semantic topology constraint, and the method comprises the following steps: generating a current feature point set containing a preliminary semantic tag and a semantic recognition result; generating an initial candidate matching pool; generating a dynamic geometric check threshold for each current feature point; performing forward filtering on the initial candidate matching pool by applying a dynamic geometric verification threshold, and performing initial round matching based on appearance description similarity to generate a high-potential pre-matching point pair list; the geometric structure consistency of the high-potential pre-matching point pair list is analyzed, and geometric structure confidence scores are generated; performing reverse calibration and confirmation on the high-potential pre-matching point pair list to generate a final matching result; and generating a semantic tag correction instruction according to the reverse calibration process. According to the method, the problem that adopted geometric correction is generally based on a fixed fault-tolerant threshold and lacks self-adaptive adjustment capability for credibility of different scenes and feature points is solved.

This invention relates to the fields of mobile internet, online travel, and hotel booking technology. Specifically, it discloses a method and system for online booking of high-end hotel presidential suites based on a blind box mechanism. This invention generates a list of available blind boxes based on user location, behavior, and preference data, supporting filtering by city, brand, price, and keywords. After the user sets a budget, the system provides a real-time reference success rate to assist decision-making. The user pays a deposit to lock the order, and the system automatically manages the order status and refund logic. Orders are confirmed through automatic or manual matching. After the final payment is completed, an electronic voucher is generated, and the hotel verifies the check-in information, achieving a closed-loop order process. The system supports anomaly handling and risk control to ensure an intelligent, personalized, and secure booking process. The system provides anomaly handling and risk control mechanisms to ensure automated order processes, fund security, and consistent user experience. This invention achieves intelligent, personalized, and closed-loop management of high-end hotel presidential suite bookings.

The invention relates to a volume group automatic creation method and device, and relates to the technical field of IT operation and maintenance automation, and the method comprises the steps: analyzing a volume group demand from a host configuration file, carrying out the parameter verification of the volume group demand, and storing the volume group demand passing the verification as a first ordered data structure; collecting a local disk list and capacity information, filtering disks to obtain an available disk list, and storing the available disk list as a second ordered data structure; traversing the first ordered data structure and executing a dual-stage matching strategy for each volume group demand to match a disk from the second ordered data structure to obtain a disk allocation result; by adopting the method and the device, the rationality of resource allocation can be improved, the efficiency and rationality of disk matching can be improved, and the optimal allocation of resources can be ensured. Moreover, the command is automatically generated and executed through the system, errors caused by manual operation are avoided, and the accuracy and reliability of command execution are improved.

The application provides an image feature extraction method and device and electronic equipment. In the method, even when the appearance changes dramatically, the skeleton corresponding to each category information extracted based on the semantic segmentation result is stable and accurate, so the feature descriptor of the key point and the feature descriptor of the center point corresponding to each category information obtained subsequently are stable and accurate, and the feature descriptor of the key frame to be processed obtained finally is also stable and robust. In addition, the feature descriptor of the key frame to be processed is obtained by performing spatial aggregation on the feature descriptors of the key points and the center points, and then performing straightening and normalization on the feature descriptors of various category information after spatial aggregation, that is, the feature descriptor of the key frame to be processed is simpler, the calculation amount is greatly reduced during subsequent image matching, the image matching speed is accelerated, and the image matching efficiency is improved.

This disclosure relates to an image processing method, apparatus, electronic device, and storage medium. The method includes: extracting a plurality of first feature points from a first image and a plurality of second feature points from a second image, wherein the first image is an image captured by a first camera and the second image is an image captured by a second camera; determining the incident direction of each first feature point and the incident direction of each second feature point, wherein the incident direction is the direction from the corresponding position of the feature point in the real world to the optical center of the camera; performing feature matching on the plurality of first feature points and the plurality of second feature points within each of a preset plurality of direction ranges, and performing preset processing on the first image and the second image based on the feature point matching results within each direction range.

This invention relates to the field of signal recognition technology, specifically an adaptive recognition and extraction method for transient traveling wave signals in complex environments. The method includes: establishing a mapping relationship between real-time traveling wave signals and standard traveling wave signals using convolutional integrals; extracting the voltage and current fluctuation amplitudes within each time window to determine the signal characteristics of the real-time traveling wave signal; performing scene sorting on the signal characteristics, dividing them sequentially into scene components and interference components, and configuring component matrices corresponding to the signal characteristics; using the component matrices to solve for the similarity of the real-time traveling wave signals, and determining the sum of similarities across multiple time windows based on the change amplitude of the signal characteristics to obtain the baseline signal characteristics; based on the number of time windows corresponding to the baseline signal characteristics, selecting the baseline signal characteristics corresponding to the largest time window percentage as the target signal, and fitting the fault location of the real-time traveling wave signal based on the preliminary positioning range of the target signal. This method achieves both accuracy and efficiency in traveling wave signal recognition.

The invention discloses a pet behavior analysis system based on visual intelligence, and relates to the technical field of pet intelligent monitoring. According to the invention, an abnormal pet behavior is marked as a target behavior; determining a scene type according to the video data of the target behavior and the corresponding auxiliary behavior, and determining a behavior cause of the pet based on the target behavior, the auxiliary behavior and the scene type; according to the invention, pet behaviors are comprehensively described by means of multi-dimensional monitoring data, so that one-sidedness of a single data dimension is avoided; the preset reference data covers a general scene, and the scientificity of abnormal behavior judgment is improved through hierarchical analysis and weighted fusion design of the behavior recognition model; according to the method, the target behavior is associated with the auxiliary behavior to expand the data dimension, accurate positioning of the behavior inducement is realized in combination with scene recognition, the problem that the core inducement is difficult to lock by single behavior analysis is solved, and systematic and reliable technical support is provided for pet behavior interpretation.

The application provides a security conflict detection and elimination method for weighted bipartite graph matching. Firstly, the method uses the order-revealing encryption to encrypt the weight data of the bipartite graph, so that the edge server can compare the data size without obtaining the data plaintext. Secondly, the method uses the secret sharing technology to split the weight value into two share weight values, so that any edge server cannot obtain the complete weight value in the conflict elimination process. Finally, the method designs a secure conflict detection and elimination algorithm based on the idea of the greedy algorithm, and iteratively compares the conflicts through the multi-edge server cooperation mode until the optimal allocation result is found. Through the scheme, the complexity of the bipartite graph optimal matching is reduced under the condition of ensuring the data security, and the matching efficiency is greatly improved.

The invention relates to the technical field of order supply and demand management, in particular to an order supply and demand matching method and system based on a near-end strategy optimization algorithm, and the method comprises the steps: obtaining order data and supplier data in real time; processing the obtained order data and supplier data, and constructing a multi-dimensional state vector including spatial-temporal features, supply and demand distribution features, historical matching features and real-time state indexes; on the basis of the multi-dimensional state vector, calculation is carried out through a near-end strategy optimization PPO algorithm, and matching probability distribution of the order and each candidate supplier is generated; according to the matching probability distribution, generating a matching decision in combination with an epsilon-greedy strategy to select a target supplier; sending a distribution instruction to the target supplier to execute order distribution operation; and recording interaction data of each distribution operation and storing the interaction data to an experience playback buffer area. Real-time fluctuation of a supply-demand relation can be quickly responded, a matching strategy is adjusted in time, and stable operation of the system in a complex scene is ensured.

Embodiments of the present application provide a physical examination order generation method, device and equipment and storage medium. The method comprises: obtaining target physical examination packages and target add-on package information, the target add-on package information comprising add-on packages selected by users; performing feature extraction on the target add-on package information and arranging the target add-on package according to a preset rule to generate a search characteristic value corresponding to the target add-on package information; matching the search characteristic value in a project database to obtain a matching result, the project database comprising initial physical examination packages and search characteristic values of selectable initial add-on packages corresponding to the initial physical examination packages; and in response to the matching result being a matching success, generating a target physical examination order based on the target add-on package information and the target physical examination package. The present application aims to avoid conflicts between add-on combinations and physical examination packages, and to generate a physical examination order that can meet the personalized needs of users.

The invention provides a data processing method and device, equipment, a storage medium and a program product, and can be applied to the field of storage systems and data management. The data processing method comprises the steps that input data are matched with multiple data types in a data type library, multiple target modes corresponding to the input data are obtained, and the multiple data types are stored in the data type library; based on the target mode, performing fragmentation polling processing on the input data to obtain target address information corresponding to the target mode, the fragmentation polling processing including segmenting the input data into a plurality of pieces of target mode data and processing the plurality of pieces of target mode data by using a plurality of threads; and storing a target mapping relationship between the multiple target modes of the input data and the corresponding target address information into a data type library.

The application discloses a kind of multi-platform house renting service demand data annotation push method and system, it is related to data processing technical field, method includes: obtaining terminal cross-end interaction sequence and time stamp, combine spatial coincidence degree with stay time span zoom time interval, generate semantic interval;According to the remaining time of moving, the compression reference period of exchange lease window and interaction frequency, generate target period;Compare two and extract high-optimal data, calculate difference and generate demand acceleration reflecting urgency;Subsequently, filter the terminal of commuting anchor area overlap standard, aggregate according to demand acceleration and generate commuting community;Finally, the scarcity of commercial district housing, community demand scale and average residual ratio are comprehensively calculated, and the final push distribution timing is generated.The application has the advantages of intention evaluation precision, group synergy and distribution timing dynamic self-adaptation.

The invention discloses a method for realizing efficient image matching. The specific matching process comprises the following steps: constructing an internal reference matrix by utilizing a focal length f, 35mm focal length information f35, an image width w and an image height h; pixel coordinates (u, v) of four corners of the image are converted into camera coordinates through the internal reference matrix; the longitude lon, the latitude lat and the height alt of the image are converted into ECEF coordinates, and the ECEF coordinates, the yaw angle yaw, the pitch angle pitch and the roll angle roll are used for constructing a picture extrinsic parameter matrix; using an external parameter matrix to convert camera coordinates of four corner points of the image into ECEF coordinates, then converting the four ECEF coordinates into latitude and longitude coordinates, and connecting the obtained four latitude and longitude coordinates in sequence to form a projection of a contour area of the image; whether the two pictures need to be matched or not can be judged according to the obtained intersection relation of the picture contour areas. According to the image matching method, various information in the image acquired by the unmanned aerial vehicle can be fully utilized, and meaningless matching can be effectively reduced and the matching efficiency can be improved on the premise of reducing accumulated errors.

The invention discloses an object matching method and device, equipment and a storage medium. The method comprises the steps of obtaining a feature value of a to-be-matched first object and feature values of a plurality of second objects; sorting the plurality of second objects based on the characteristic value of each second object to obtain an object sequence; based on the characteristic value of the first object and the characteristic value of each second object, searching a nearest neighbor object of the first object from the object sequence by adopting an ordered search algorithm; the nearest neighbor object is a second object of which the characteristic value is closest to the characteristic value of the first object in the object sequence; and if the nearest neighbor object and the first object meet a matching condition, taking the nearest neighbor object as a matching object of the first object. Through the object matching method and device, processing resources can be saved, and the object matching efficiency and accuracy are improved.