24 results about "Dynamic search" patented technology

The invention relates to a protection section dynamic search display method and device and a medium, and the method comprises the steps: loading train information through an ATS system, recognizing a WTC vehicle, verifying the positioning effectiveness and position change of the train, and verifying the turnout bifurcation state and direction consistency in combination with bifurcation direction value parameters. Legal path equipment is screened, the section occupation state is updated, and finally accurate calculation and display of the protection section are achieved. Compared with the prior art, the method has the advantages that the real-time performance and positioning precision of train occupation display are greatly improved, scheduling errors caused by information lag or positioning fuzziness are effectively reduced, and key technical support is provided for high efficiency and safety of subway train scheduling.

The invention relates to the technical field of photovoltaic power generation control, in particular to a rapid maximum power point tracking method based on an optimization algorithm and a variable step size strategy. According to the method, an improved intelligent optimization algorithm based on biological heuristic is adopted, and the performance is optimized through an adaptive weight factor and a dynamic search strategy; acquiring a current maximum power point by utilizing a self-adaptive step length adjustment strategy based on a power change rate and combining a momentum factor and a step length reset mechanism; identifying a global optimal region through second derivative information of a power-voltage curve and a sliding window technology; and a state evaluator based on fuzzy logic automatically selects an optimal tracking mode according to the illumination change rate and the power fluctuation amplitude. According to the method, the maximum power point of the photovoltaic system can be quickly and accurately tracked under complex and changeable environmental conditions, and the energy conversion efficiency is improved.

The invention relates to the technical field of federated learning and privacy protection, and discloses a federated learning privacy protection method for dynamic search hybrid encryption and contribution value perception, which mainly comprises the following steps of: constructing a privacy protection scheme of a local evaluation and hybrid encryption mechanism combined with contribution degree perception to realize differentiated privacy protection of client privacy data; the calculation time overhead and the communication overhead based on a single homomorphic encryption privacy mechanism are effectively reduced; a central storage server access control and dynamic key rotation mechanism driven by a security token is constructed, and key non-replay and historical data non-revealing are realized by combining a searchable relevance trap door index stored by a ciphertext; according to the method, on the basis of a security aggregation algorithm of contribution perception, the contribution value of each local model in a ciphertext state is evaluated by a joint secrecy calculation protocol, aggregation screening of a global model under the condition that the contribution value plaintext is not revealed is ensured, power dispersion of a central storage server is completed, and the overall efficiency and privacy of the system are remarkably improved.

The application provides an image generation method based on federated learning and an optimal time allocation strategy, comprising the following steps: determining the sparsity according to the client communication budget and the data volume, and randomly initializing the diffusion model parameters and the personalized sparse mask; determining the neighbor clients of each client according to different optimal time allocation strategies, and determining the mask intersection parameter aggregation mode of the current client and the neighbor clients according to the current round and the aggregation probability, to obtain the aggregated initialization model; performing gradient update on the initialized model parameters after aggregation according to the data batch and the parameter mask state, to obtain the updated model parameters; and calling a gradient information dynamic search algorithm to update the sparse mask in each client based on the updated model parameters. The application can protect the training data privacy of users of each party, can jointly use the data of each party to improve the generalization ability of the model, and can efficiently allocate limited communication resources under the condition of bandwidth limitation.

This invention belongs to the fields of artificial intelligence and natural language processing. To address the problems of redundant retrieval and the inability to perform multi-step reasoning and dynamic programming in traditional retrieval enhancement generation methods, it provides a method and system for determining dynamic retrieval decision schemes based on Monte Carlo tree search. The method includes receiving an initial query question as the starting point of the reasoning process to trigger the invocation of a large language model; invoking the large language model to perform subquery generation and action selection operations; iteratively exploring the reasoning actions of the subquery question based on Monte Carlo tree search; and dynamically filtering the reasoning path by considering the confidence score and honesty score of the large language model to obtain a complete set of reasoning trajectories; constructing preference pairs for each subquery question based on the complete set of reasoning trajectories to optimize the reasoning retrieval strategy, enabling the large language model to autonomously determine the optimal retrieval time. This reduces invalid retrieval and multi-step reasoning and dynamic programming.

The application discloses a tool replacement strategy dynamic search method, comprising the following steps: constructing a tool time sequence feature extraction model; constructing a tool replacement strategy dynamic search model comprising a tool running state space and a replacement strategy space; extracting tool time sequence features through the tool time sequence feature extraction model; combining the processed multi-source production data and the extracted tool time sequence features with the tool replacement strategy dynamic search model to output tool replacement strategy results and evaluation results; continuously optimizing the tool time sequence feature extraction model and the tool replacement strategy dynamic search model based on the output tool replacement strategy results and evaluation results; and performing tool replacement strategy dynamic search by combining the optimized tool time sequence feature extraction model and the tool replacement strategy dynamic search model. The application reduces the number of unqualified products produced due to untimely tool replacement and the tool replacement time of line shutdown, and improves tool utilization, equipment production efficiency and overall efficiency of the production line.

A query for a data object search may be received. The query may include a data object attribute to be suppressed or excluded in results of the data object search. The query may be tokenized to identify the data object attribute, and transformed into a vector, where a portion of the vector corresponds to the data object attribute. A modified vector may be generated by adjusting this portion of the vector, and a plurality of data objects responsive to the query and a plurality of scores corresponding to the plurality of data objects may be determined based on the modified vector. Computer-executable instructions configured to cause a user computing device to construct and display a user interface that displays at least a portion of the data objects according to the scores as the results of the data object search may be generated and transmitted to the user computing device.

The invention discloses a low earth orbit satellite CSK signal joint capturing method based on Beidou system assistance, and relates to the technical field of satellite navigation signal processing, and the method comprises the steps: processing a Beidou satellite signal, and extracting prior information from the Beidou satellite signal; based on the prior information and pre-stored orbit parameters of a low-orbit satellite, Doppler frequency and time uncertainty of the CSK modulation signal are acquired; constructing a two-dimensional dynamic search window for searching a CSK modulation signal by taking Doppler frequency and time uncertainty as a center; and in the two-dimensional dynamic search window, performing joint capture processing on the received CSK modulation signal to determine the final code phase and the final Doppler frequency of the CSK modulation signal. The method can effectively adapt to high Doppler frequency shift and rapid change thereof caused by low-orbit satellites, and the capture success rate in a high dynamic environment and the overall reliability of a navigation system are improved.

The application relates to the technical field of federated learning and privacy protection, and discloses a dynamic search hybrid encryption and contribution value perception federated learning privacy protection method, which mainly comprises the following steps: constructing a privacy protection scheme combining a contribution degree perception local evaluation and a hybrid encryption mechanism, realizing differentiated privacy protection of client privacy data, effectively reducing the calculation time cost and communication cost based on a single homomorphic encryption privacy mechanism; constructing a security token driven center storage server access control and dynamic key rotation mechanism, and combining a searchable relevance trapdoor index of ciphertext storage, realizing key non-replayability and historical data non-revealability; and the method is based on a contribution perception security aggregation algorithm, a joint secret computation protocol is used to evaluate contribution values of each local model in a ciphertext state, contribution value plaintext is not revealed, aggregation screening of a global model is ensured, power dispersion of a center storage server is completed, and the overall efficiency and privacy of the system are significantly improved.

Described is a system and method for enabling dynamic selection of a search input. For example, rather than having a static search input box, the search input may be dynamically positioned such that it encompasses a portion of displayed information. For example, a user may touch a touch-based display using two fingers to invoke the dynamic search input and then determine a size and a position of the dynamic search input by moving their fingers on the display. An image segment that includes a representation of the encompassed portion of the displayed information is generated and processed to determine an object represented in the portion of the displayed information. Additional images with visually similar representations of objects are then determined and presented to the user.

The application relates to the technical field of path planning, in particular to a path planning method based on an improved A* algorithm and a grid and a positioning system, which comprises the following steps: constructing an abstract network model of a parking lot; finding a next node in the form of a dynamic search tree; selecting an optimal node after calculating the weighted value of the node by using a weighted heuristic function, and updating the weighted heuristic function in real time, so that the path planning of the addressing of the parking lot is realized. The application solves the problems that, when an intelligent vehicle frequently avoids obstacles and turns, the dependence on a map terrain is high, the type of obstacles is fixed, the emergency capability in the face of multiple conditions is poor, and the planning time and the occupied memory present exponential growth with the expansion of the grid map.

The application discloses an automatic packing method based on reinforcement learning and dynamic search, and relates to the technical field of intelligent manufacturing and logistics automation, and comprises the following steps: a time sequence observation layer from decision to execution is established, strategy score gradient, action withdrawal times and execution energy consumption are collected, and baseline data representing packing sequence oscillation is generated; based on the baseline data, causal coherence decomposition is carried out, an approximately optimal path switching cluster is identified, switching frequency, residence time and withdrawal cost are calculated, and an oscillation cause atlas is constructed. Through the construction of score and execution whole process monitoring, causal decomposition, disturbance playback, energy barrier modeling, buffer execution mechanism and inverse phase shock suppression strategy, the application realizes the identification, suppression and extinguishing of the packing path oscillation, forms a stable closed loop of strategy, effectively improves the packing process stability and execution efficiency, and reduces the energy consumption and failure rate.

The invention provides a text and question conformity evaluation method, system and device and a medium, and the method comprises the steps: obtaining a target composition, extracting title subject terms from a title of the target composition according to a keyword extraction algorithm, and calculating subject degree weights of words in a text of the target composition; according to a preset composition subject term extension knowledge base, subject-related word extension is carried out on the title subject term, and the extension knowledge base carries out keyword indexing on the corpus based on the target composition and generates a subject-related word cluster by adopting word clustering; according to the full-text word number of the target composition, text subject words of the composition are extracted according to a preset dynamic rule; generating a weighted topic degree vector according to the topic degree weights of the words, and calculating the cosine similarity between the topic words of the title and the topic words of the main body of the composition to obtain a topic conformity score; selecting an optimal threshold value from the candidate threshold value range according to a dynamic search algorithm; and outputting a text and question conformity grade of the target composition according to the text and question conformity score and an optimal threshold.

The application discloses a data processing method and device for an energy storage battery and a nonvolatile storage medium. The method comprises the following steps: acquiring real-time operation data of a target energy storage battery at a current time; extracting an operation state of the target energy storage battery based on the real-time operation data; receiving a query instruction sent by a user; determining a target data source based on the query instruction; searching in the target data source based on the operation state to obtain target candidate data; constructing a structured enhanced prompt word based on the target candidate data; inputting the structured enhanced prompt word into a preset language model to obtain a data processing result based on the query instruction and the real-time operation data. The application solves the technical problems that the current energy storage system operation and maintenance method fails to integrate real-time operation states and multi-source historical knowledge, lacks an intent-driven dynamic search mechanism, and causes edge analysis response lag, high diagnosis misjudgment rate and natural language interaction failure.

The application discloses a kind of based on artificial intelligence algorithm's online car-hailing order distribution method and system, it is related to intelligent scheduling technical field, including obtaining order data and driver data to be distributed;Adopt dynamic search radius and multi-state driver screening strategy to determine candidate driver set, the estimated arrival time is calculated in combination with real-time traffic condition;Establish multi-factor order acceptance willingness evaluation model, calculate the order acceptance probability of each order-driver combination;Build comprehensive matching degree evaluation model, calculate the matching degree of all order-driver combinations, generate matching degree matrix;Global optimization algorithm is handled matching degree matrix, and the order-driver distribution result is output;Order is pushed to the driver in order-driver distribution result and monitored response state, and re-distribution processing is executed to unresponsive condition.The application improves the success rate and matching accuracy of order distribution by multi-factor order acceptance willingness evaluation and global optimization algorithm, reduces order waiting time, and improves overall distribution efficiency.

The invention discloses an intelligent multi-target tracking method and system combining global detection and local fine tracking, and the method comprises the steps: carrying out the preprocessing of a video frame, and intelligently deciding a global target detection mode or a local target tracking mode according to a triggering condition; full-frame detection and two-stage matching are executed in the global target detection mode, high-confidence matching for enhancing SIoU and motion direction consistency is fused firstly, and then multi-feature refined distance matching is conducted on unmatched targets; and generating a dynamic search area in a local target tracking mode to carry out lightweight detection and motion prediction association. Dynamic strategy adjustment is carried out by evaluating scene-level indexes in real time, the tracking continuity of shielded / dense scenes is remarkably improved, identity switching is reduced, and meanwhile calculation overhead is reduced.

This invention relates to the field of vision and image processing technology, and discloses a text compliance detection method based on image semantic segmentation. The method acquires and grayscales a text image, obtains an initial mask through semantic segmentation, calculates the local pixel mean drift coefficient, and determines the dynamic edge search bandwidth accordingly. Within the bandwidth, it statistically analyzes the magnitude and distribution characteristics of the first-order spatial gradient, calculates the rectified edge probability score of the target pixel, constructs a topological gravitational potential energy using the probability score as the gravity source, calculates the adhesion blocking coefficient by solving the Hessian matrix determinant and combining it with the global drift variance, then extracts the potential energy maximum point as the stroke center, extracts the cross-section along the potential surface normal, performs weighted integration, and calculates the equivalent stroke width. Finally, it calculates the width dispersion and combines it with the global drift mean to calculate the compliance discrimination coefficient, outputting the detection result. This technical solution effectively overcomes semantic drift and false edge traps, and accurately decouples local ink topological adhesion.

The application provides a kind of based on state decomposition triple exposure two end line net wiring method and system, it is related to circuit wiring technical field, method includes: obtaining wiring data;According to wiring data, construct wiring graph structure;State decomposition is carried out to wiring graph structure, obtain multiple independent connection edges;The weight of each connection edge is calculated;Based on the weight of each connection edge, wiring search is carried out to two end line net, and the final wiring scheme is determined.The application can effectively reduce the wiring complexity, improve the accuracy and routing rate of wiring by combining the wiring and mask state, using decomposition connection edge, calculating weight and dynamic search strategy, fully consider the distribution of multi-layer mask in the wiring process, reduce conflict and process violation, suitable for high-density, complex circuit wiring demand, significantly improve the efficiency of wiring.

The present application relates to the technical field of power grid system testing, and discloses a power grid test data method and system based on RAG and LLM-Agent, which comprises the following steps: obtaining and storing original power grid data from a power grid system; preprocessing the original power grid data to obtain intermediate power grid data; dynamically generating test data conforming to a power grid scene by using a search enhancement generation technology based on user demand and the original power grid data and the intermediate power grid data; auditing the test data based on an auditing standard and user demand to determine whether the test data conforms to the auditing standard, and if so, proceeding to the next step, and if not, returning to the previous step to optimize the test data; injecting the test data into a power grid simulation system for automated testing to obtain test results, and storing the test results as new original power grid data. The present application significantly improves the coverage and accuracy of test data through a synergistic mechanism of dynamic search, intelligent auditing and closed-loop optimization.

The invention relates to the field of dynamic search, and discloses a webpage dynamic search method and device and a storage medium. The method comprises the following steps: receiving a search keyword input by a user; judging whether the typing interval duration is greater than a preset minimum time threshold value or not; if the time duration is not greater than the preset minimum time threshold, continuously receiving search keywords input by the user, and judging whether the overall input time duration is greater than a preset maximum waiting threshold; if not, re-judging whether the typing interval duration is greater than the preset minimum time threshold or not; if the waiting threshold value is greater than the preset maximum waiting threshold value, generating a search request based on a preset Vue component and all search keywords; performing search processing on the search request to obtain incremental search data; and rendering and updating the preset front-end page to generate a new front-end page. According to the embodiment of the invention, the system resource consumption is reduced, and the stability in various front-end environments is improved.

The invention discloses a microblog rumor detection method and system based on static and dynamic knowledge enhancement. The method comprises the following steps: firstly, preprocessing a microblog text, including text cleaning, word segmentation, part-of-speech tagging and named entity recognition, so as to obtain a structured text and entity information; and then knowledge linking and semantic enhancement are performed on the text entities by utilizing a pre-constructed field static knowledge graph, entity attributes, relationships and related facts are extracted, and deep combination of texts and background knowledge is realized. For core declarations that the knowledge graph is not covered or has disputes, a dynamic search enhancement mechanism is further introduced, authoritative external evidences are obtained through a search engine, and dynamic knowledge representation is constructed. And then respectively evaluating semantic consistency and logic consistency between the microblog content and the static knowledge and between the microblog content and the dynamic evidence by adopting a knowledge consistency verification module, and quantifying the credibility of the microblog content. Finally, the text semantic features, the knowledge enhancement features, the user behavior features, the propagation features and the knowledge credibility scores are fused, a multi-dimensional comprehensive feature vector is constructed, and rumor recognition is completed through a deep neural network classifier. Compared with a traditional detection technology depending on content or a propagation structure, the method has the advantages that structured knowledge and real-time external evidences can be utilized at the same time, complex, novel and high-timeliness rumors can be accurately recognized, and more reliable and efficient technical support is provided for social media content auditing, public opinion monitoring and public safety management.

This invention discloses a spatial target detection and tracking method, involving computer vision target detection and tracking technology. It solves the technical problems of existing methods, such as noise interference, poor tracking window adaptability, easy coordinate transformation errors, and slow target loss recovery. This invention divides the detection process of spatial point and area targets into a global detection stage and a local tracking stage. In the global detection stage, candidate targets are extracted through multi-frame statistics and angle deviation filtering. In the local tracking stage, real-time tracking of the target neighborhood is achieved based on a dynamic search box, and tracking stability is improved through morphological processing, size filtering, and unified coordinate transformation. Simultaneously, a closed-loop mechanism is designed to trigger global detection upon tracking failure, ensuring the accuracy and continuity of point and area target detection and tracking throughout the entire process. This invention can be widely applied to scenarios such as star detection and small target tracking.

1. Name of the product in this design: Graphical User Interface for Dynamic Item Search Interaction of Electronic Devices. 2. Purpose of this design: An electronic device. 3. The key design feature of this product is its graphical user interface. 4. The picture or photo that best illustrates the key design points: Design 1 front view. 5. Design 1 is designated as the basic design. 6. Purpose of the Graphical User Interface: The product interfaces in Designs 1-5 are radar-like interfaces for continuously and dynamically searching for and interacting with items; the main view interface of Design 1 is the initial interactive interface; in the main view interface of Design 1, clicking the "Start Scan" button displays the dynamic effect of searching for items as shown in Figures 1-3 of the interface's state changes in Design 1; in Figure 3 of the interface's state changes in Design 1, clicking the "Pause Scan" button displays a list of searched items, showing Figure 4 of the interface's state changes in Design 1; in Figure 4 of the interface's state changes in Design 1, clicking on an item in the list displays a pop-up window showing the item's details. Design 1 interface state change diagram 5; Design 2 main view interface is the initial interactive interface; In the Design 2 main view interface, after clicking the "Start Scan" button, the dynamic effect of searching for items shown in Design 2 interface state change diagrams 1-3 is displayed; In the Design 2 interface state change diagram 3 interface, after clicking the item icon in the radar grid, the item details pop-up window is displayed, showing Design 1 interface state change diagram 4; Design 3 main view interface is the initial interactive interface; In the Design 3 main view interface, after clicking the "Start Scan" button, the dynamic effect of searching for items shown in Design 3 interface state change diagrams 1-3 is displayed; In the Design 1 interface state change diagram 4; Design 2 main view interface is the initial interactive interface; In the Design 2 main view interface, after clicking the "Start Scan" button, the dynamic effect of searching for items shown in Design 2 interface state change diagrams 1-3 is displayed; In the Design 2 interface state change diagram 3; In the interface of Design 3, clicking the "Pause Scan" button displays a list of searched items, as shown in Design 3's interface state change diagram 4. Clicking the "Continue Scan" button in Design 3's interface state change diagram 4 displays Design 3's interface state change diagram 5. The main view of Design 4 is the initial interactive interface. Clicking the "Start Scan" button in the main view of Design 4 displays the dynamic effect of the searched items shown in Design 4's interface state change diagrams 1-3. Clicking the "Filter" button in Design 4's interface state change diagram 3 displays a filter pop-up window, showing the interface state change of Design 4. Figure 4; In the interface of Design 4, after setting the filter conditions and clicking the "Confirm" button, the search for items continues, presenting the dynamic effect of the interface of Design 4 in Figures 5-6; The main view interface of Design 5 is the initial interactive interface; In the main view interface of Design 5, after clicking the "Filter" button, a filter pop-up window is displayed; The interface of Design 5 in Figure 1 is displayed; In the interface of Design 5 in Figure 1, after setting the filter conditions and clicking the "Confirm" button, the dynamic effect of searching for items in the interface of Design 5 in Figures 2-4 is presented; The gray areas in Design 1-Design 5 are the content screens.

The invention discloses a system and a method for dynamically searching, managing and executing IC (integrated circuit) card logic. And the system core dynamic library provides an independent logic search and execution interface. The search interface can scan and discover two logics of the script and the plug-in at the same time; the user can select to use or create any type of new logic; and the execution interface searches and automatically executes the corresponding logic according to the characteristic value, and for the compiled plug-in, an actual plug-in is positioned through the metadata file and a specific export function is called. Through metadata decoupling design and a dual search mechanism, two technical paths of flexibility and high performance are unified, and comprehensive discovery and full-life-cycle management of IC card logic resources are realized.