361 results about "Multi path" patented technology

The present disclosure provides a landslide identification method, a device and a storage medium based on multi-path feature fusion, and relates to the field of geological hazard monitoring and early warning. The device and storage medium are used to implement the method. The beneficial effects of the present disclosure are as follows: a landslide identification method based on multi-path is provided, deep feature-level interaction among different types of landslide image data is achieved, high-resolution feature information is preserved, landslide identification accuracy is significantly improved, the computational costs are reduced, the real-time performance of landslide identification is significantly enhanced and the real-time monitoring and early warning are achieved.

The invention provides a multipath fusion phased array radar antenna unit coordinate determination method and system, and the method comprises the steps: obtaining an antenna array surface power distribution diagram, recognizing the boundary and geometric center of an array, and planning a spiral and cross-shaped composite sampling path; on the planned sampling path, collecting phase data at a plurality of inclination angles and frequencies; based on the signal-to-noise ratio and the angle correction factor, carrying out adaptive weighted fusion calculation on the adjacent point phase difference under multiple conditions; establishing an overdetermined equation set by using the fused phase difference, and iteratively solving the accurate coordinates of the antenna unit through two rounds of weighted least squares; and establishing a drift model to perform dynamic compensation, and performing real-time calibration by using a unit with determined coordinates as a reference point. According to the invention, through a multi-angle and multi-frequency redundancy measurement strategy and in combination with a signal-to-noise ratio-based adaptive weighting algorithm, environmental interference can be effectively identified and suppressed. Even in a complex electromagnetic environment, the system can still keep stable measurement precision.

Devices, systems, methods, and processes for enabling path monitoring in multi-path networks are described herein. Load balancing of packets is often performed based on outer encapsulating headers and inner packet headers. However, inner packet headers of probe and data packets can be different. Thus, the probe packet can traverse a different path as compared to the data packet, causing inconsistent hashing. To address this, a device is provided with a routing logic that encapsulates a packet, having a packet header, with an outer header. The outer header has a control bit, source and destination address fields, and a flow label field. When a value of the control bit is set to a predetermined value, load balancing is performed exclusively based on the outer header, exempting a utilization of the packet header. Therefore, load balancing for probe and data packets performed exclusively based on the outer header is consistent.

Embodiments of the subject application relate to methods and apparatuses for a relay path establishment and a relay change in a multi-path case. According to an embodiment of the subject application, a user equipment (UE) includes a processor and a transceiver coupled to the processor; and the processor is configured to: receive a radio resource control (RRC) reconfiguration message for path addition via the transceiver from a network, wherein the RRC reconfiguration message for path addition includes an identifier (ID) of a relay UE; start a timer for a path addition procedure upon reception of the RRC reconfiguration message; and receive a message associated with a link between the relay UE and the network.

The invention provides an underwater positioning system based on effective sound velocity compensation and multipath equalization, which relates to the technical field of marine equipment and comprises an environment sensing and modeling module, a signal propagation characteristic analysis module, an intelligent signal processing and distance measuring module and a fusion positioning and quality evaluation module. The environment sensing and modeling module is used for constructing a dynamic three-dimensional sound velocity field and evaluating the reliability of the environment, the signal propagation characteristic analysis module is used for establishing a multi-path propagation model and extracting path characteristic parameters, and the intelligent signal processing and distance measuring module is used for suppressing multi-path interference and realizing high-precision distance measuring calculation. The fusion positioning and quality evaluation module is used for multi-source information fusion positioning and forming a quality feedback closed loop; the system can effectively cope with sound velocity temporal and spatial change and multipath interference in a complex marine environment, remarkably improves the precision, stability and robustness of underwater positioning of the underwater vehicle, and is suitable for the fields of deep sea detection, ocean engineering and the like.

The invention provides a multi-path reasoning method and device, electronic equipment, a medium and a program product, relates to application of a large model in a financial science and technology scene, and can be applied to the technical field of artificial intelligence and the field of financial science and technology. The method comprises the steps of obtaining a to-be-solved problem, inputting the to-be-solved problem into a large model, and generating a plurality of first reasoning paths; pruning and screening the plurality of first reasoning paths to obtain a second reasoning path, and performing parallel reasoning based on the second reasoning path by using the large model; setting a first check point in a preset reasoning stage, and evaluating and screening the second reasoning path by using the first check point to obtain a third reasoning path; and in response to reasoning to a predetermined end point by the at least one third reasoning path, performing reasoning chain logic verification on the at least one third reasoning path to obtain a reasoning result.

The invention discloses a multi-path library bank landslide susceptibility evaluation method and device based on dynamic-static feature fusion and a storage medium. The method comprises the steps of obtaining multi-source monitoring data including dynamic InSAR deformation time sequence data and static environment influence factors in a target area and a landslide catalog library; decomposing the dynamic InSAR deformation time series data into a dynamic trend term and a periodic term by adopting an empirical mode decomposition method; the multi-source monitoring data and the landslide catalog library are preprocessed, and data sets are divided; constructing a multi-path dynamic-static feature coupling model, and training and outputting a reservoir bank landslide susceptibility evaluation model based on dynamic-static feature coupling; inputting the multi-source monitoring data of the to-be-detected area into the trained landslide susceptibility evaluation model to obtain a susceptibility evaluation index, and determining a prediction result according to the evaluation index; according to the method, the problems of high static data dependence, dynamic deformation feature deficiency, insufficient real-time early warning capability and the like of a traditional landslide susceptibility zoning method are solved.

The invention provides a networking scene-oriented multipath service optimization method and system, and relates to the technical field of network scheduling optimization, and the method comprises the steps: obtaining topological structure information and service demand information of a communication network in a networking scene, and employing a depth-first search algorithm in combination with a pruning mechanism to generate a candidate path set; on the basis of a marginal value contribution degree theory, calculating a transmission value factor and a path complementary factor of each candidate path in the candidate path set, calculating marginal value contribution degrees of different candidate path combinations according to the two factors, and taking the path combination with the highest marginal value contribution degree as an optimal path combination; and aiming at each path in the optimal path combination, establishing a multi-objective optimization model, and obtaining a final scheduling scheme of the service flow among the paths in the optimal path combination. According to the invention, the problems of lack of differentiated path selection mechanism, poor fault tolerance of single-path transmission, insufficient resource coordination capability and the like in multi-service transmission in the prior art can be solved.

The invention relates to the technical field of network communication, and discloses a weak network adaptive multipath transmission method and system, and a storage medium. The method comprises the following steps: performing multi-path connectivity and quality detection on a target server, constructing a candidate set comprising a first path of a native UDP bearing QUIC, a second path of a TCP tunnel packaging QUIC and a third path of a TCP combined TLS, and performing initial selection of a main path according to the priority from high to low; periodically collecting and smoothly processing network quality indexes such as round-trip delay and packet loss rate during the connection duration; and when the monitoring data meets a preset degradation condition, reordering and switching the candidate paths in combination with a lag mechanism and a comprehensive quality scoring model. Through multi-dimensional perception and a dynamic strategy, the problem of QUIC failure caused by UDP blocking in a firewall interference or weak network environment is solved, the advantages of a QUIC protocol can be reserved to the greatest extent on the premise of not interrupting services, and the reliability and fluency of data transmission are remarkably improved.

The invention provides a multi-path information retrieval method and system based on a language model and uncertainty evaluation. The multi-path information retrieval method comprises the following steps: receiving a user query; performing semantic analysis on user query by using a pre-trained language model so as to output a quantitative uncertainty index in an unsupervised manner; dynamically determining a quantity ratio for controlling query generation and a balance parameter for controlling result sorting based on the index; based on the user query and the strategy parameters, generating and executing two groups of differential queries at least comprising exploratory queries and utilizable queries to obtain multiple paths of retrieval results; and combining multiple paths of results, and carrying out dynamic balance reordering between the correlation and diversity of the results according to balance parameters by adopting an ordering mechanism. According to the method, the retrieval strategy can be adaptively adjusted according to the uncertainty of query, and the coverage degree and diversity of results are remarkably improved.

The invention discloses a multi-path planning method and device, and relates to the technical field of automatic driving. A specific embodiment of the method comprises the following steps: acquiring a starting point and an ending point of a to-be-planned path; initializing a particle swarm based on the starting point and the ending point of the to-be-planned path; each particle in the particle swarm corresponds to a candidate path; based on a simulated annealing particle swarm algorithm and the target function of the round, determining a planned path of the round from the candidate paths; wherein the target function of the current round is obtained according to a sequential ecological niche algorithm and the target function of the previous round. According to the embodiment, the simulated annealing particle swarm optimization and the sequential niche algorithm are combined to realize multi-path planning, the population can be effectively prevented from falling into a local optimal solution, the target function is updated through sequence optimization, the search of all or local optimal paths is ensured, and the efficiency and accuracy of path planning are improved.

The present application relates to a multi-path congestion control method and apparatus, a chip, a network interface card, and a computer device. The method comprises: under the condition that a token allocation request is received, on the basis of the priority information of M paths, determining N path combinations to be balanced; for each path combination, analyzing traffic to be balanced of a first path and a second path within the current period on the basis of respective round-trip delay of the first path and the second path within a previous period, and determining the number of tokens of the first path and the number of tokens of the second path on the basis of the traffic to be balanced; and feeding back the number of tokens of each path to hardware to instruct the hardware to transmit a message on the basis of the number of tokens of each path. Use of the present method can transfer traffic on a path having a large congestion degree to a path having a small congestion degree, and balance the messages on multiple paths within a next period, thereby achieving load balancing on different paths, and improving the message transmission efficiency and the bandwidth utilization rate of the whole link.

A packet to be forwarded over a computer network to a destination is received. A group of multiple network paths is available to forward to the packet to the destination. One or more path selection factors are determined to be used to identify a specific network load balancing algorithm to select a specific network path from the group of multiple network paths. The one or more path selection factors include at least one path selection factor determined based at least in part on a dynamic state of the computer network or a network node in the computer network. In response to selecting, by the specific network load balancing algorithm, the specific network path from among the group of multiple network paths, the packet is forwarded over the specific network path.

The invention belongs to the technical field of image deblurring, and particularly relates to an edge deployment-oriented lightweight multi-path image deblurring method, which comprises the following steps of: 1, preparing a data set; 2, constructing a network model; step 3, training a network model; 4, optimizing the model and evaluating the performance; 5, finely adjusting the model; 6, storing the model; and step 7, hardware deployment and debugging. According to the method, the lightweight image deblurring network is designed, the performance of the model is improved while the parameters of the model are reduced, the lightweight deblurring network is used in the field of image deblurring, and the problems that an existing network model is large and actual deployment is difficult are solved; channel-level adaptive feature fusion is carried out on the feature map by designing a dual-response enhanced fusion network, and the contrast and significance of edge information are enhanced to realize efficient extraction of multi-level features; complementary optimization of global and local features is realized by designing a lightweight multi-path feature sensing network.

The invention discloses an unmanned aerial vehicle network multipath selection and network coding redundancy transmission method. The method comprises the following steps that each unmanned aerial vehicle carries out node state perception and link prediction; the source node initiates a multi-path routing discovery process based on the extended AOMDV routing protocol, performs path quality measurement, and selects a plurality of paths with the highest path quality as active transmission paths; the source node divides an original data block to be sent into a plurality of original data packets and encodes the original data packets respectively; performing optimal distribution based on a water injection algorithm; data forwarding and decoding receiving are carried out according to an optimal distribution result; and continuously detecting that the link communication actively triggers the maintenance process before the link is actually broken. According to the method, high-reliability, low-delay and energy-balanced data transmission is realized in a highly dynamic unmanned aerial vehicle network through a rigorous evaluation and optimization system, and the overall survival time of the network is effectively prolonged; and predictive route maintenance and fast route switching are carried out through the extended routing table.

The invention provides an intelligent calculation task migration-oriented SRv6 multi-path dynamic arrangement method and system, and the method comprises the steps: carrying out the feature structuring of the obtained intelligent calculation task feature data and network link state data, and generating a multi-dimensional structured data table which comprises the task emergency degree, the network link state data, and the task emergency degree. A target node coordinate and a time delay sensitivity coefficient; performing multi-dimensional path decision on the multi-dimensional structured data table through a multi-objective joint optimization algorithm to generate an optimized path distribution scheme; according to the optimized path distribution scheme, migration channel dynamic control is executed, and a task migration execution log is output; and generating a network configuration optimization instruction based on an index deviation between the task migration execution log and a preset task demand table. By adopting the method, the network path can be hierarchically divided and the proper migration channel can be dynamically selected based on the emergency degree of the task and the position of the target node, so that the migration efficiency and reliability of the intelligent calculation task are improved.

The invention provides a magnetotelluric signal denoising method and system based on a multi-path fusion network. The method comprises the following steps: constructing and training a noise identification model and a signal mapping model based on the multi-path fusion network; inputting a noisy signal segment identified based on the noise identification model into the signal mapping model to obtain a pure signal segment or a noise contour; and finally, splicing the pure signal segments in sequence to obtain the magnetotelluric signal after noise reduction. According to the multi-path fusion network provided by the invention, three convolution layers with convolution kernels of different sizes and a convolution path of an activation function are arranged in a multi-path convolution module, and the multi-path fusion network is used for multi-scale signal feature extraction; and in an attention-enhanced multi-path feature fusion module, outputs of different paths are respectively input into channel attention, space attention and a convolutional layer, and the corresponding outputs are spliced in a channel dimension, so that fusion of multi-path features is realized. In addition, physical constraints are further introduced, and deep optimization is carried out on the two models.

An embodiment relates to an operation method of a remote user equipment (UE) related to multi-path relay in a wireless communication system, the method comprising: transmitting or receiving data to or from a base station by the remote UE; receiving an RRCReconfiguration message related to multi-path setup from the base station by the remote UE; and transmitting RRCReconfigurationComplete to the base station by the remote UE, wherein the remote UE initiates a predetermined timer on the basis of the reception of the RRCReconfiguration message and, on the basis of the expiration of the predetermined timer, the remote UE reports the expiration of the predetermined timer to the base station without performing RRC re-establishment.

Systems, methods, and computer-readable media for communicating electronic device secure element data over multiple paths for online payments are provided. In one example embodiment, a method includes, inter alia, at a commercial entity subsystem, receiving, from an electronic device, device transaction data that includes credential data indicative of a payment credential on the electronic device for funding a transaction with a merchant subsystem, accessing a transaction identifier, deriving a transaction key based on transaction key data that includes the accessed transaction identifier, transmitting, to one of the merchant subsystem and the electronic device, merchant payment data that includes a first portion of the credential data and the accessed transaction identifier, and sharing, with a financial institution subsystem using the transaction key, commercial payment data that includes a second portion of the credential data that is different than the first portion of the credential data. Additional embodiments are also provided.

One disclosure of the present specification provides a method by which remote UE performs communication. The method comprises the steps of: receiving a discovery message from relay UE, the discovery message comprising information about a first base station serving the relay UE; determining, on the basis of the information about the first base station, whether the first base station and a second base station serving remote UE are the same; and selecting the relay UE for PC5 (device-to-device communication) connection, on the basis that the first base station and the second base station are the same.

The invention relates to the technical field of storage equipment, and particularly discloses an RAID card high-availability device and method based on a multi-path cluster, and the device comprises at least two RAID cards; the RAID engine is used for processing RAID read-write data, configuring RAID levels and processing hard disk hot plug; the front-end multi-path module is used for establishing a plurality of data channels with a host and exposing a virtual disk with the same NGUID to the host, so that the host multi-path module can access the virtual disk in an aggregated manner; the rear-end multi-path module is used for establishing a multi-path data channel with the dual-port hard disk, transmitting read-write data and commands of the dual-port hard disk, and realizing disk access link redundancy and fault automatic switching; the system management module is used for processing internal and external management control events, state conversion and internal processes of the RAID card; the cluster management module is used for establishing communication channels among the RAID cards, maintaining heartbeat information among the RAID cards and managing cluster node states; the problem of single-point failure of a traditional RAID card is solved, and the reliability and performance of a system are improved.

The invention relates to the technical field of remote sensing image processing, in particular to a few-sample hyperspectral remote sensing image classification method and system based on multi-path evolution. The method comprises the steps of generating a spectral attention weight by utilizing spectral compression reconstruction according to acquired multi-scale deep feature representation, and performing three-dimensional convolution evolution on weighted features based on adaptive multi-path feature evolution to obtain information fusion features; performing weighted fusion on the information fusion features of the three paths through a dynamic gating mechanism; and obtaining a hyperspectral image classification result according to the fused features. According to the invention, self-adaptive evolution and cross-path selective fusion of multi-scale features are realized; the deep features subjected to multi-level feature coding are used for final classification reasoning, so that high-precision hyperspectral image classification is realized under the condition of extremely few samples.

The invention provides a multipath P2P file reliable transmission method based on intelligent grading, which comprises the following steps: detecting available port resources and multipath network quality required by P2P transmission in a multipath P2P environment so as to construct a multipath resource pool, and performing targeted matching of an intelligent grading transmission mode on the multipath resource pool in combination with network quality information; calling the configured intelligent blocking model to block a to-be-transmitted file to obtain file blocks and generate a block state table, performing multi-path parallel cooperative transmission on the file blocks in cooperation with the matched intelligent hierarchical transmission mode, and synchronously monitoring the transmission state of each path on the file blocks to generate a transmission breakpoint record; and based on the configured abnormal degree intelligent grading model, determining an abnormal grading grade according to a transmission breakpoint record, and according to the abnormal grading grade, triggering the intelligent blocking model to adjust blocking parameters and synchronously adjust a multi-path resource pool to optimize matching of an intelligent grading transmission mode so as to implement file transmission based on intelligent grading control in a multi-path P2P (Peer-to-Peer) environment.

Existing Equal Cost Multi-path (ECMP) grouping strategies in a multi-homing network have scalability issues due to limited hardware resources. To address this, devices, systems, methods, and processes for adaptive optimization of ECMP groups are described herein. An optimization logic, coupled to a plurality of network devices, receives a set of route advertisements of the plurality of network devices and allocates a shared ECMP group, including two or more network devices of the plurality of network devices, for at least two ESs based on the set of route advertisements. A next hop list is generated in which the at least two ESs point to the shared ECMP group. The optimization logic may update the next hop list based on link failures or route withdrawal advertisements associated with the two or more network devices included in the shared ECMP group. The ES may be removed from pointing to the shared ECMP group.

Systems and methods for determining and executing complex multi-route transfers of digital assets are described. A multi-route transfer of a source asset for a destination asset may be determined by analyzing a graph representing a plurality of assets and exchanges to determine a plurality of unique transfer paths. A transfer path may reflect a direct transfer in which the source asset is swapped for the destination asset, or it may reflect a series of intermediate transfers in which the source asset is swapped for intermediate asset(s) that are swapped for the destination asset. Dynamic programming can be used to select the transfer paths to include in the multi-route transfer, how to distribute swaps across those transfer paths, and how to distribute swaps for each transfer of a transfer path—thereby optimizing for the total amount of the destination asset received while accounting for transaction fees.

The invention discloses an RDMA multi-path transmission method and system for power distributed transactions, a medium and a processor, and relates to the technical field of power distributed transaction communication. The method comprises the following steps: establishing a power network topology digital twin model, defining a redundant link and configuring an RDMA communication environment; constructing a plurality of transmission paths based on the model and the redundant link, fragmenting the transaction data and adding metadata; screening an available path set, and determining an optimal transmission path through an out-of-order perception path selection algorithm; and sensing a path congestion state, and dynamically distributing flow. Systems, media, and processors are used to implement the method. According to the method, the topological characteristics of the power network and the advantages of the RDMA technology are combined, transmission low delay, high reliability and the resource utilization rate are improved through multi-path construction, out-of-order sensing routing and dynamic flow distribution, and the complex transmission requirements of power distributed transactions are met.

The invention discloses a multi-path traffic distribution method based on node parallel computing, and relates to the technical field of traffic flow distribution and computer application, and the method comprises the steps: modeling a traffic network into a computer directed graph composed of a node set and a segmental arc set, and loading a traffic origin-destination demand matrix; constructing an improved Logit multi-path random traffic distribution model to reduce the sensitivity of a path travel time unit and a network scale to a distribution result; a node-based multi-path flow distribution model is formed, and traffic flow iterative distribution is realized by updating the effective subsequent road section flow of the node; taking each terminal point as an independent unit, and executing a node-level multi-path traffic distribution calculation task; a parallel computing framework is designed, a global flow distribution problem is decomposed into node-level sub-problems, and distribution tasks are executed on a plurality of computing units at the same time. According to the method, efficient multi-path flow distribution of a large-scale traffic network is realized, and the calculation efficiency of traffic distribution is remarkably improved.

The invention discloses a multi-path optimization method for a low-altitude unmanned aerial vehicle delivery system, and relates to the technical field of unmanned aerial vehicle logistics, and the method comprises the steps: obtaining N delivery unmanned aerial vehicles, performance parameters of the N unmanned aerial vehicles and delivery tasks of the N unmanned aerial vehicles through the low-altitude unmanned aerial vehicle delivery system, and collecting and obtaining flight data of the N unmanned aerial vehicles through a sensor group; carrying out three-dimensional modeling, and building an unmanned aerial vehicle delivery space model; constructing an unmanned aerial vehicle delivery cost function to obtain N unmanned aerial vehicle delivery paths; and monitoring in real time to obtain unmanned aerial vehicle state data and environment data, performing regulation and control optimization on the delivery paths of the N unmanned aerial vehicles, and determining the optimized delivery paths of the N unmanned aerial vehicles. The technical problems of low path planning efficiency and insufficient safety of low-altitude unmanned aerial vehicle delivery in the prior art are solved, and the technical effects of realizing multi-path efficient optimization of the low-altitude unmanned aerial vehicle delivery system and ensuring path safety are achieved.

The present application discloses a bearing fault diagnosis method and system based on knowledge enhancement and multi-path distillation, which relates to the fields of intelligent operation and maintenance and industrial equipment health management. The method includes obtaining sensor signals and visual image data of the bearing operation; based on an asynchronous dual-channel architecture, correspondingly extracting signal features of the sensor signals and image features of the visual image data, and performing time synchronization on the signal features and the image features; using a multi-modal bottleneck Transformer module to fuse the synchronized signal features and the synchronized image features; based on a maintenance knowledge graph dynamically constructed from a bearing maintenance manual, combining a text generation model to map the fused features to a semantic space and generate a fault diagnosis report. The present application can improve the recognition accuracy, real-time performance and interpretability of diagnosis results of bearing faults.