36 results about "Hierarchical routing" patented technology

The invention discloses an intelligent medical image diagnosis system and method based on hierarchical cross-modal conversion and dynamic feature tracking. The system adopts three-step cross-modal conversion: a first-layer small model for converting user questions to realize medical ontology matching; the second-layer multi-modal model extracts image features, and outputs text states such as JSON data with focus coordinates, density and other features; and the third-layer large model fuses the medical history and the image features to generate diagnosis suggestions, and credibility verification is carried out. A dynamic focus tracking engine is introduced, a focus evolution rule of multiple scanning is analyzed through a convolutional network, and an optical flow field is adopted to compensate artifacts. The system also integrates a multi-expert voting mechanism to simulate a clinical consultation process, and outputs consensus diagnosis and objection viewpoints. A hierarchical routing algorithm is designed for emergency treatment scenes, so that the recognition response time of emergencies such as pneumothorax is shortened. Further, the system automatically generates a full chain of evidence report that conforms to medical regulations, including a model version, a guide reference, and a data hash value.

An automatic memory management method based on context awareness and hierarchical routing belongs to the field of artificial intelligence and natural language processing, and comprises the following steps: step 1, scoring context importance; 2, mixed memory extraction; step 3, performing three-level automatic routing; 4, rewriting the mixed retrieval context; and 5, privacy compliance control is carried out. The dialogue importance is automatically evaluated through multi-dimensional features (entity density, emotional polarity and user active statement), and the problem that a traditional method depends on manual intervention is solved; according to the method, the rule engine and the fine-tuning small model are combined, accuracy and efficiency are both considered, and explicit and implicit memories can be processed at the same time; according to the invention, based on confidence and content type automatic hierarchical storage, intelligent management of short-term, medium-term and long-term memory is realized; the semantic similarity and the time decay weight are fused, and it is ensured that memory retrieval is relevant and timely.

The invention relates to the technical field of wind power Internet of Things communication, in particular to a wind power plant long-distance communication method and system based on a wireless ad hoc network, and the method comprises the steps: deploying a relay module with a wind driven generator as a node, and carrying out the self-adaptive networking based on geographic coordinates and signal intensity; electing a cluster head node to establish a tree-mesh hybrid topology; the source node sends a routing request, establishes a data transmission path, monitors performance and triggers retransmission; data are transmitted in a hierarchical manner, and low time delay of real-time data and high throughput of daily use are guaranteed; and preprocessing the cluster head, compressing the data, adding a security label and then forwarding. According to the method, signal interruption caused by blade shielding is solved, key instruction time delay is reduced through hierarchical routing and composite index evaluation, log transmission efficiency is improved through the multi-path fountain code technology, the service blocking problem is eradicated, energy consumption is reduced through the dormancy scheduling and compression algorithm, data safety is enhanced, the network lifetime is prolonged, and the total ownership cost of a communication system is reduced.

The invention relates to the technical field of unmanned aerial vehicle ad hoc networks and intelligent routing, in particular to a communication-enhanced unmanned aerial vehicle network hierarchical routing method, which comprises the following steps of: initializing a network; performing dynamic clustering and cluster head election; performing inter-cluster routing decision; judging whether a clustering updating condition or a routing strategy retraining condition is met or not according to the data transmission effect; and when the clustering updating condition or the routing strategy retraining condition is satisfied, triggering clustering updating or routing strategy retraining. According to the method, firstly, through a communication perception clustering algorithm, all unmanned aerial vehicle nodes are automatically divided into a plurality of clusters according to multi-dimensional information such as positions, signal-to-noise ratios, sight distance conditions, residual energy and the number of neighbors, cluster head nodes are dynamically selected so as to maintain the stability and communication quality of a clustering structure, and each cluster head node is divided into multiple clusters through a reinforcement learning method; and in combination with multi-dimensional state perception, a forwarding decision of a next hop cluster head is generated in real time, and efficient data transmission of inter-cluster multi-hop paths is realized.

The application relates to a wireless sensor network hierarchical routing optimization method and system based on a quantum mound beetle mechanism, relates to the technical field of wireless communication, and aims to solve the technical problems of unbalanced energy consumption and short network life of a wireless sensor network in a traditional method. The technical points of the application include the following steps: establishing a wireless sensor network system model; determining the number of clusters and dynamically clustering, and simultaneously establishing a network node dynamic clustering cost function; initializing quantum mound beetle groups and setting parameters, and calculating the organic matter decomposition degree of all quantum mound beetles to determine the global optimal quantum position of the quantum mound beetle groups; quantum position evolution of the quantum mound beetles and obtaining the global optimal quantum position by using a selection mechanism; quantum mound beetle mechanism evolution termination judgment, outputting the current wireless sensor network cluster center; wireless sensor network dynamic cluster head election; and the wireless sensor network performing stable data transmission while updating the network state. The application effectively improves the energy consumption efficiency of the wireless sensor network and effectively prolongs the network life.

The embodiment of the invention provides a hierarchical routing data auditing method and device, and the method comprises the steps: constructing a directed graph according to a port directed connection relation in routing data, judging the connectivity of a route and the integrity of a topological structure through employing a graph theory connection component, and when a channel route passes a connectivity test and an auditing result is normal, judging whether the channel route is normal or not. Different integrity auditing rules are selected in combination with service scene characteristics, routing missing judgment is carried out, whether channel routing is complete on a service networking structure or not is judged, and connectivity and integrity of the channel routing are rapidly and accurately detected through auditing rule checking of dividing connected components by using a graph algorithm and adding data dimensions. In the checking process, the checking process does not depend on segment group sequence attributes in the routing data, and it is avoided that checking cannot be carried out due to the data quality of a shallow layer.

The application provides a power hierarchical routing aggregation method and system, which defines an aggregation window, configures a total timeout time, a tentative correlation parameter for the aggregation window, and initializes a loss count, a tentative probability and a waiting set of each sub-flow, starts the aggregation window to receive sub-flow data, and makes tentative judgment on the aggregation window according to the receiving result, sends a pre-warning packet to a missing sub-flow through the tentative result and the tentative probability, collects a pre-warning reply, updates the loss count, the tentative probability and the waiting set of the sub-flow through the pre-warning reply, waits for the sub-flow according to the update state of the waiting set, updates the loss count and the tentative probability of the sub-flow in the waiting set through the waiting result, and performs data packet aggregation forwarding after the waiting set is empty and the tentative initiation condition is not met or after the aggregation window times out, resets the aggregation window and performs the next round of aggregation after forwarding, so that the balance among aggregation efficiency, data integrity and resource saving is achieved through the power hierarchical routing aggregation method.

This invention discloses a domain-specific intelligent routing method for large-scale low-Earth orbit (LEO) satellite networks, belonging to the field of satellite communication technology. This method constructs a network model based on multi-dimensional resource characteristics and combines an improved Transformer architecture regional traffic prediction algorithm to provide resource constraints and spatiotemporal correlation characteristics for routing decisions. Based on geographical region division into virtual nodes and autonomous domains, the LEO satellite network routing process is decoupled into intra-domain and inter-domain parts. Intra-domain routing employs a multi-agent deep Q-network, while inter-domain routing uses a summation tree-based deep Q-network. Routing and resource scheduling algorithms are designed separately for each domain. Through hierarchical routing and decoupled resource scheduling, a domain-specific intelligent routing system with both flexibility and scalability is constructed. This invention significantly enhances the service capabilities of LEO satellite networks under extreme scenarios such as high-frequency topology changes, strictly limited resources, and sudden spatiotemporal changes in traffic, providing a highly reliable, low-latency routing solution for integrated space-ground communication, emergency disaster early warning, and global real-time data transmission.

The application provides a multi-source detection and hierarchical routing communication switching method and system, and relates to the technical field of communication. The method comprises the following steps: a client pulls encrypted configuration files from multiple CDN nodes in parallel and decrypts to obtain routing configuration information; in the operation gap after the user enters the business channel page and before triggering the business entrance, the background asynchronously detects the availability of the primary and backup domain names; in response to the triggering of the business entrance, hierarchical routing decisions are made according to the routing configuration information and the detection results, and the decision priorities are, in turn, full-line level forced switching, conditional level intelligent switching and IP direct connection bottom line; when the IP direct connection is performed, certificate fingerprint verification is performed; after the switching, the availability of the primary domain name is continuously detected, and when the recovery is performed, the automatic back switching is performed. The corresponding communication switching system is also provided. Through the multi-level degraded link, the asynchronous detection, the certificate security verification and the closed loop back switching mechanism, the end-to-end high availability guarantee and the automatic self-healing of the client business routing are realized.

The application discloses a large-scale constellation hierarchical routing planning method for concurrent tasks, and belongs to the technical field of mega constellation management and routing planning.The application is used for solving the problem of constellation routing planning under large-scale concurrent tasks and large-scale nodes.The application comprises the following steps: dividing a large-scale constellation into constellation management domains, determining the shortest domain-level path from a starting constellation management domain to a terminal constellation management domain for each task, determining the initial entry domain endpoint and the initial exit domain endpoint of each constellation management domain based on a global routing reference direction, adjusting the exit domain endpoint of a congested node to obtain a final exit domain endpoint and a corresponding final entry domain endpoint, and dividing the tasks in the constellation management domain into rounds according to the estimated time sequence of the tasks to arrive at the constellation management domain, and selecting a low-load next-hop satellite node for each round of task.The application reduces the complexity of constellation routing planning under large-scale concurrent tasks and large-scale nodes, and realizes the optimization of network load balancing performance.

The application provides a stable hierarchical routing method, device and electronic equipment of a star-ground fusion Internet, and relates to the technical field of communication. The method comprises the following steps: dividing the star-ground fusion Internet into three routing domains, the first routing domain comprising a plurality of ground nodes, the second routing domain comprising a plurality of orbital planes, and the third routing domain comprising a plurality of orbits in the same orbital plane; determining the first routing domain according to a ground node address, the ground node address being determined based on the coordinates of the geographic block where the ground node is located in the routing coordinate system; in the case where the first routing domain and the second routing domain are interconnected, using a relay ground station or an opportunistic link to route data from a source end to a destination end; and in the case where the first routing domain and the third routing domain are interconnected, routing data from the source end to the destination end based on an inter-satellite topology state and a routing coordinate system. The scheme of the application can construct a stable and efficient routing hierarchy in a dynamically running star-ground fusion Internet.

The invention discloses a wireless communication optimization system and method based on multi-system link cooperation, and relates to the field of wireless communication methods. The method specifically comprises the following steps: acquiring message transmission round-trip delays, bit error rates and transmission bandwidths of a plurality of message transmission links; according to the link transmission meteorological data, the link transmission historical data and the link equipment state data, constructing an environment perception type link quality predictor to calculate quality scores of a plurality of message transmission links, and ranking the quality scores; the elastic bandwidth distributor carries out bandwidth distribution according to the link mass fraction; the hierarchical routing decision tree carries out link scheduling according to the priority, the time sensitivity and the data volume of the message; and inputting the priority, the time sensitivity and the data volume of the message into an environment perception type link quality predictor for training. According to the method, link difference processing is considered, the bandwidth utilization efficiency can be improved, and the stability of message transmission delay is higher.

The embodiment of the invention provides a page loading method and device based on dynamic routing, equipment, a medium and a product, and is applied to the technical field of front-end routing. The method comprises the following steps: acquiring a nested hierarchical routing structure of a target platform; the nested hierarchical routing structure represents a superior-subordinate relationship of a plurality of service hierarchies in the target platform; each business level comprises at least one function page; the nested hierarchical routing structure supports nested views and state type routing; based on a nested hierarchy routing structure, configuring a corresponding path dynamic parameter for each service hierarchy; receiving an access request of a target platform, and obtaining an access link based on the access request; analyzing the access link to obtain the value of the path dynamic parameter; and loading a template file and a controller corresponding to the access request based on the value of the path dynamic parameter, and rendering a target page corresponding to the access request based on the template file and the controller. The technical effect of improving the operation page access efficiency is achieved.

The invention discloses an efficient self-adaptive routing protocol system of an underwater sensor network based on Q-learning and Bayesian optimization. According to the efficient self-adaptive routing protocol system of the underwater sensor network based on Q-learning and Bayesian optimization, hierarchical routing composed of intra-cluster routing and inter-cluster routing is executed, so that Q-learning application is realized, an efficient data forwarding path is easily found, and data forwarding from an underwater node to an aggregation node is realized; by executing Bayesian optimization, key network control parameters such as hyper-parameters and the like can be automatically adjusted, so that the whole routing system can adapt to different network conditions and continuously converge to a global performance optimal state. The method is widely applied to the technical field of underwater sensor networks.

The invention discloses a transformer area theoretical line loss rate calculation and release method based on a hierarchical routing and freezing strategy. The method comprises the following steps: preprocessing preset time window power data to generate an input set; the performability of the candidate methods is judged, routing is carried out according to priorities, non-performability reasons are recorded, and a uniform aperture consistency record is established; when the target method is a physical method, directly outputting a calculation result as a to-be-published value, otherwise, performing steady-state processing on the original output, and if the method cannot be executed, outputting a bottom value; covering and writing original output by using a unique identification key, and storing a calculation result, a value to be published and metadata of an input set; when an increment recalculation condition is triggered, performing increment recalculation and coverage release on the influenced minimum time window set; the method can avoid the instability of the release reference, ensures the long-term consistency of the external release aperture, and has no weight drift and cross-method fusion aperture jump.

The invention discloses a mixed expert efficient fine-tuning routing method for a coal mine equipment operation and maintenance multi-mode large model. The method comprises the following steps: collecting coal mine equipment multi-source heterogeneous data; carrying out multi-modal data feature extraction and joint embedding; hierarchical routing and expert probability calculation; carrying out routing stability smoothing processing; carrying out adaptive Top-k sparse expert activation and load constraint; and mixing expert efficient fine tuning. According to the method, working condition state key factors can be fully fused, cross-domain distribution deviation and knowledge interference occurring when the scale of heterogeneous knowledge is large are reduced, meanwhile, the consistency and stability of generated content are improved, and better balance between reasoning precision and calculation overhead is considered.

The invention discloses a hierarchical routing mixed expert image aesthetic evaluation system and method, electronic equipment and a storage medium. The method comprises the following steps: after preprocessing an input image, extracting global and multi-dimensional aesthetic features through a backbone network and a pluggable aesthetic enhancement unit; sparsely activating the most relevant experts from the mixed expert pool by using a hierarchical routing mechanism to perform feature calculation; fusing the features and predicting aesthetic distribution or scores; uniformly mapping the scores to a cross-domain comparable scale through a monotone calibration head; and personalized correction can be carried out based on user preferences. According to the method, efficient and flexible image aesthetic evaluation is realized through modular design and sparse activation, meanwhile, the problems of cross-domain score inconsistency and personalized adaptation are solved, and the practicability, generalization and user experience of the model are remarkably improved.

A method for load balancing flows of a Network on Chip (NoC) having a plurality of routers and a plurality of bridges arranged into a plurality of clusters described herein includes receiving packets at the NoC, the packet being associated with a target destination as specified by a cluster identifier and a local identifier. For receipt of each packet, the method includes routing the packet to a destination in the NoC according to the local identifier for the NoC having a same cluster identifier as the cluster identifier associated with the packet, and routing the packet according to a route lookup from referencing the cluster identifier and a path identifier associated with the packet for the NoC having a different cluster identifier from the cluster identifier associated with the packet.

The invention discloses an electric power wireless communication private network service method with multiple communication modes fused, which relates to the technical field of electric power wireless communication networks and comprises the following steps: monitoring and extracting original behavior records of a terminal in multiple communication modes; clustering and separating a communication quality stationary stage and a communication quality fluctuation stage in a time dimension; screening an alternative communication mode set according to the aggregation characteristic difference of the transmission scale of each communication mode in the two stages; calculating a topology adaptive value based on a coupling relationship between behavior records in a stationary stage, and determining a topology root node level of the terminal in combination with a time sequence attribute and a behavior frequency in a fluctuation stage; screening network hub nodes and constructing a layered routing network structure; and generating a hierarchical control instruction according to the connection characteristics of different levels. According to the method, communication mode dynamic optimization and network topology autonomous construction based on environment stage perception and behavior data analysis are realized, and the adaptability of a private network to a complex fluctuation environment and the reliability of service transmission are improved.

The application discloses a kind of based on Q-learning and the efficient adaptive routing protocol system of underwater sensor network of bayesian optimization.The application based on Q-learning and the efficient adaptive routing protocol system of underwater sensor network of bayesian optimization, by executing the hierarchical routing consisting of intra-cluster routing and inter-cluster routing, to realize the application of Q-learning, to easily find efficient data forwarding path, realize the data forwarding of underwater node to sink node;By executing bayesian optimization, can automatically adjust hyperparameter and other key network control parameters, so that the entire routing system can be adaptive to different network conditions, continuously converges to the global performance optimal state.The application is widely used in the technical field of underwater sensor network.

This application discloses a lightweight, anti-blocking intelligent routing method, apparatus, device, medium, and product for satellite constellations based on Stackelberg game theory, relating to the field of satellite communication networks. The method includes: constructing a satellite constellation network simulation environment and establishing a Stackelberg game model, defining the blocker as the leader and satellites as followers; designing a hierarchical routing framework, including a routing selection module based on an Actor-Critic architecture and an anti-blocking module based on Q-Learning; updating routing network parameters using a near-end policy optimization algorithm and utilizing Q-Learning to quickly reselect paths after detecting blockage; and achieving algorithm lightweighting through artificial dimensionality reduction of the state space and knowledge distillation techniques. This application effectively improves the robustness and reliability of satellite constellation networks in intelligent blocking environments, realizes a lightweight design of the intelligent algorithm, proves the existence of Stackelberg equilibrium, and significantly improves routing success rate and reduces average latency.

The application discloses a power wireless communication private network service method based on multi-communication mode fusion and relates to the technical field of power wireless communication networks, which comprises the following steps: monitoring and extracting original behavior records of terminals under multiple communication modes; clustering and separating communication quality stable stages and fluctuation stages in the time dimension; screening a set of alternative communication modes according to the differences in the aggregation characteristics of the transmission scale of each communication mode in the two types of stages; calculating a topology adaptation value based on the coupling relationship between the behavior records in the stable stage, and determining the topology root node level of the terminal in combination with the time sequence attributes and behavior frequency of the fluctuation stage; screening network hub nodes and constructing a hierarchical routing network structure according to the topology adaptation value; and generating hierarchical control instructions according to the connection characteristics of different levels. The method realizes dynamic optimization of communication modes and autonomous construction of network topology based on environment stage perception and behavior data analysis, and improves the adaptability of the private network to complex fluctuation environments and the reliability of service transmission.

A method for load balancing flows of a Network on Chip (NoC) having a plurality of routers and a plurality of bridges arranged into a plurality of clusters described herein includes receiving packets at the NoC, the packet being associated with a target destination as specified by a cluster identifier and a local identifier. For receipt of each packet, the method includes routing the packet to a destination in the NoC according to the local identifier for the NoC having a same cluster identifier as the cluster identifier associated with the packet, and routing the packet according to a route lookup from referencing the cluster identifier and a path identifier associated with the packet for the NoC having a different cluster identifier from the cluster identifier associated with the packet.

The invention relates to a pressure measurement method and device for a distributed system, electronic equipment and a storage medium. The method comprises the following steps: receiving a pressure measurement request initiated by a service end; in response to the pressure measurement request, judging whether a service application corresponding to the pressure measurement request is matched with a preset shadow resource rule or not based on the pressure measurement identifier; if the preset shadow resource rule is matched, routing the pressure test request to a corresponding shadow resource according to a preset hierarchical routing strategy in the shadow resource rule; and if the preset shadow resource rule is not matched, carrying the pressure measurement identifier to the request of the downstream service, so that the downstream service re-executes until the full-link pressure measurement process is completed. Physical isolation of pressure measurement data and production data is achieved from the source, the data pollution problem is thoroughly avoided, manual pressure measurement data cleaning is not needed, and the operation and maintenance cost is greatly reduced; and the pressure measurement identifier is extracted and transmitted in a non-intrusive manner by relying on the Java probe, so that a developer is prevented from manually modifying a service code, and the influence of a redundant code on a service system is eliminated.

The application discloses a wireless sensor network clustering routing based on an improved beluga whale optimization algorithm and relates to the field of Internet of Things.The technical scheme of the application improves the beluga whale optimization algorithm through student t distribution and cosine boundary strategy, which is called tCBWO.BWO algorithm is in the local development stage most of the time during the algorithm execution process; a DPR heuristic algorithm is proposed and applied to WSN; a new hierarchical routing scheme of WSN is proposed.The stability of the BWO algorithm is improved, and the Prim algorithm is improved in combination with a transmission energy consumption model of WSN, and is named as tCBWO-DPR algorithm.The algorithm can provide high-quality data transmission service in each round and can effectively improve the balance of the network.

This invention proposes a continuous learning method and evaluation method to mitigate the double forgetting of visual language models. The method includes: adding two parallel paths to the backbone network of a pre-trained visual language model—one a task-agnostic expert path and the other a task-related expert group path—to obtain a model based on heterogeneous expert hybridization; training the model using a two-stage training strategy, including: a first stage, freezing the task-related expert group path and training only the task-agnostic expert path, using contrastive learning to solidify the pre-trained general knowledge of the visual language model; a second stage, freezing the task-agnostic expert path and training only the task-related expert group path, using a cross-entropy loss function to learn task-specific knowledge; and an inference stage, dynamically fusing the outputs of the two parallel paths through a hierarchical routing mechanism to achieve collaborative learning of pre-trained knowledge and task-specific knowledge.

The application discloses the technical field of micro-service gateway and relates to a unified service scheduling method and device based on a micro-service gateway, a medium and equipment, which comprises the following steps: deploying a service gateway to each middle platform tenant; pulling corresponding service configurations from a gateway configuration center through the service gateway; acquiring full initialization data of the service gateway through a management tool; connecting the service gateway to a registration center in the corresponding middle platform tenant to realize automatic service registration and route construction; when the route is changed, sending a change notification to a message component through the management tool; and the service gateway receives the change notification and updates the memory route. The application solves the technical problems that the system based on the micro-service gateway cannot realize fault isolation and automatic service registration in the prior art, realizes hierarchical routing and multi-tenant isolation by setting multiple gateway components, ensures the isolation of the traffic of each middle platform, avoids single-node faults, realizes automatic service registration and route construction, and effectively unifies the service call management of each middle platform.

The invention discloses an intelligent data storage method for a smart energy unit, and the method comprises the steps: analyzing the sampling features of an original data stream, and generating a frequency feature vector set; based on the frequency feature vector set, adaptive hierarchical routing is carried out, a virtual time lattice is constructed, and a hierarchical data queue and a virtual alignment index are generated; carrying out elastic buffering and out-of-order recombination aiming at the hierarchical data queue, and generating an ordered data block and a position mapping table; and carrying out parallel persistence on the ordered data blocks of each layer, fusing the position mapping table and the virtual alignment index, and constructing a multi-dimensional index tree containing frequency, time and position dimensions. According to the method, optimal configuration of storage resources and self-adaptive adjustment of a processing flow can be realized according to internal sampling frequency characteristics of the data, and the storage density and query analysis efficiency of mass heterogeneous energy data are improved.

Multi-level hierarchical routing matrices for pattern-recognition processors are provided. One such routing matrix may include one or more programmable and / or non-programmable connections in and between levels of the matrix. The connections may couple routing lines to feature cells, groups, rows, blocks, or any other arrangement of components of the pattern-recognition processor.