797 results about "Multi path" patented technology

Embodiments described herein relate to systems and methods for automatically generating content for a generative content interface of a collaboration platform. The system may perform an intent analysis on a natural language user input to the generative content interface to determine an intent confidence score with respect to each of a set of request classifiers, the set of request classifiers comprising a first request classifier associated with a request for an action, a second request classifier associated with a request for information, and a third request classifier associated with a request for a contact. Based on the intent confidence scores of the request classifiers, the system may select a content store in which to search for content to satisfy a user's query.

Disclosed embodiments generally relate to edge-based multi-Radio Access Technology (RAT) traffic management (TM) solutions to support delay-sensitive traffic over heterogeneous networks. Embodiments include delay-aware TM implementations that split and / or steer network traffic across different RATs for the edge network control plane. Embodiments also include utilization threshold-based implementations to achieve delay-aware multi-path TM at the network's edge. The multi-path TM includes multi-RAT, multi-access, or multi-connectivity traffic routes. Embodiments include strategies to sort users (or devices) for making multi-RAT traffic distribution decisions and to determinate the utilization thresholds. Embodiments also include message exchange mechanisms or learning utilization thresholds and other useful system properties. Other embodiments may be described and / or claimed.

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 relates to the technical field of multi-path information processing, and provides a multi-path optimization method, device and system for network routing, and the method comprises the steps: obtaining network node information, obtaining a plurality of available paths based on the network node information, evaluating all available paths, and obtaining network bandwidth data and an initial weight; adjusting the initial weight to obtain an initial path weight and a path priority table, distributing and identifying data packets of network flow by using the path priority table, obtaining a flow data packet with a path identifier, and adjusting the initial path weight after obtaining a flow load log and network delay data based on the flow data packet; and generating a flow scheduling scheme to update the path priority table. Through obtaining network node information and utilizing a bandwidth evaluation algorithm, initial path evaluation reflecting network conditions is generated, and through real-time data feedback of a dynamic monitoring module, a flow scheduling scheme capable of carrying out adaptive adjustment at any time is generated, so that the defects of the prior art in the aspect of dynamic adaptability are improved.

The invention provides a multi-path embedded video coding method and system based on generative artificial intelligence. The multi-path embedded video coding method comprises the following steps: firstly, coding input cue words and demand parameters, and outputting cue word vectors and demand parameter code streams; then decoding the cue word vector and the demand parameter code stream, and outputting a feature vector and a feature map; extracting the feature vector, the feature map and the representation guide vector to obtain multi-embedded feature information; reconstructing a picture by using the obtained multi-embedded feature information through a generative AI and obtaining a video to be iterated; performing video quality evaluation on the video to be iterated; and generating a binary code stream for transmission through the current cue word vector, the demand parameter code stream and the multi-embedded feature information input. According to the method, important information characteristics are transmitted in a highly abstracted manner, and a high-definition video is reconstructed at a receiving end, so that the storage space required by video coding and the size of a transmission information stream are greatly reduced, and higher-definition transmission under a narrower bandwidth is realized or video coding under an extremely low bandwidth becomes possible.

The invention discloses a multi-path switch flow scheduling method, device and equipment based on a border gateway protocol and a storage medium, and relates to the technical field of flow scheduling, and the multi-path switch flow scheduling method based on the border gateway protocol comprises the steps: monitoring a network path in real time, and obtaining network state information, the network state information at least comprises one of bandwidth, delay and packet loss rate; according to the network state information, scoring the network path to obtain a final scoring result; determining an optimal path set according to the final scoring result; and determining a flow distribution strategy of the optimal path set according to the final scoring result so as to realize flow scheduling of the multi-path switch. According to the invention, the flow transmission efficiency of the multipath switch can be improved.

The invention discloses a brain tumor segmentation algorithm based on multipath modal fusion and edge-driven attention, and belongs to the technical field of medical image analysis. Comprising the steps of performing two-dimensional slicing and center clipping processing on an original image; decomposing an input image into two independent two-channel features, and extracting preliminary features through a convolutional layer; the decomposed images are respectively input into a Transform-based double-trunk feature learning stream to extract semantic features in a specific mode, and meanwhile, deep integration is carried out through a shared fusion path to mine high-order and low-order detail information of different modes; in the decoding stage, an upper independent path and a lower independent path are used for finely guiding superficial layer edge features through edge driving attention; and meanwhile, the sharing fusion path adopts a multi-scale modal fusion module to be matched with jump connection to carry out multi-feature fusion. The method has remarkable advantages in the aspects of fine-grained edge processing and complex tumor morphological segmentation.

The invention relates to the technical field of traction backflow monitoring, and provides a railway traction backflow monitoring analysis method and system based on multi-path current fusion. The method comprises the steps of generating multi-path current waveform data based on a mapping relation between a phase variation and traction backflow intensity, performing time-frequency domain combined noise reduction, and aligning with a time axis to obtain aligned multi-path current waveform data; and cross-path collaboration analysis is carried out, synchronous deviation characteristics of multi-path current are extracted, matching verification is carried out on the synchronous deviation characteristics and a preset traction load dynamic change interval, and an abnormal current event caused by harmonic distortion or transient impact and positioning information of the abnormal current event in the longitudinal direction of the steel rail are determined. According to the invention, high-precision detection and positioning of railway traction backflow and identification of harmonic and transient impact can be realized, and the problem of low-precision detection of railway traction backflow caused by weak anti-interference capability, insufficient spatial resolution and multipath current collaboration deficiency is solved.

The invention discloses a multi-path routing dynamic scheduling method and device for a satellite communication system and a medium, and relates to the field of satellite data transmission, and the method comprises the steps: expanding a path between a source node and a target node in the satellite communication system into a plurality of paths, and obtaining communication quality index parameters of all satellites in the plurality of paths; for each of the plurality of paths, constructing a routing cost function through the communication quality index parameter; updating the graph data of the satellite communication system in real time according to the real-time path change during the operation of the satellite communication system; for each piece of graph data updated in real time, based on the communication quality index parameters, calculating the total routing cost of a plurality of paths between a source node and a target node in the graph data through a routing cost function, selecting a first preset number of paths from the total routing cost of the plurality of paths according to a sequence from low to high, and determining the first preset number of paths as an optimal path combination at the current moment. The method can reduce the transmission energy consumption of the satellite network.

The invention relates to the technical field of satellite network communication, and discloses a multi-source multi-path scheduling method for remote sensing data transmission, which comprises the following steps of: firstly, establishing an index table for remote sensing data by using a space-time name formed by a service type, an acquisition area, acquisition time, a node identifier and a data category; and the controller analyzes time and space constraints in the request, selects a plurality of source nodes meeting conditions from an index table, calculates priorities according to parameters such as residual bandwidth, round-trip delay and packet loss rate, and selects a plurality of non-overlapping high-quality paths. And then adding a service type, a path number, a path state report and a flow proportion field in the interest packet and the data packet, so that the source node sends segmented data in parallel according to a preset proportion. And the forwarding node reports the link change in real time, and the controller dynamically adjusts the path set and the shunt weight, thereby ensuring that the high-bandwidth and low-delay data transmission performance is continuously obtained in a topology and load rapid change scene.

Embodiments of the present disclosure provide a method of a burst-based route discovery process. The method includes sending a probing interest packet to an NDN network; when one NDN forwarder receives the probing interest packet from a corresponding face, sending the probing interest packet to neighboring NDN forwarders; after anyone NDN forwarder receives the probing interest packet, sending back a burst of K probing data packets; as the burst of K probing data packets being received by an NDN forwarder, evaluating gaps between arrival times of the burst of K probing data packets; determining an available network throughput level of a face of the NDN forwarder; and if determined available network throughput level indicates a predefined increase in network throughput, setting the face of the NDN forwarder as a face for forwarding interest packets; and sending the burst of K probing data packets to neighboring NDN forwarders.

The invention discloses a defect identification method and system based on an efficient multi-path feature fusion network, relates to the technical field of cloth defect detection, and solves the problems that deep-layer, shallow-layer, large-scale and small-scale feature information cannot be effectively fused in the prior art, and an existing model is high in calculation complexity and large in model parameter quantity. The method comprises the steps that a cloth flaw data set is constructed, an improved YOLOv5s model is constructed, and model training is carried out, and the improvement content comprises the steps that GFPN is fused into a Neck network of YOLOv5s, cross-scale connection layers between interval levels and cross-layer jump connection layers between the same scales are introduced into a backbone network, in the Neck network, C3Ghost lightweight feature fusion nodes are adopted, and the cross-scale jump connection layers between the interval levels and the cross-scale jump connection layers between the interval levels are fused into the backbone network. According to the method, the deep feature map is subjected to up-sampling by adopting a Dysample method, deep and shallow feature information and large-scale and small-scale feature information are effectively fused, the performance of a YOLOv5s model in multi-scale and multi-proportion target detection is improved, and meanwhile, calculation parameters and complexity of the model are reduced.

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.

A multi-path configuration apparatus, includes: a transmitter configured to transmit configuration information to a remote terminal equipment, the configuration information including information for adding a path such that the remote terminal equipment and a network device are connected via more than one path, the path being a direct path and / or an indirect path between the remote terminal equipment and the network device.

A wireless transmit / receive unit (WTRU) may receive configuration information that may indicate one or more parameters for operating as a WTRU-to-network mobile relay. The parameters may include a first reference signal power (RSRP) threshold and / or a second RSRP threshold. The WTRU may perform an RSRP measurement of a serving cell to determine an RSRP value. The WTRU may determine whether to indicate support for one or more of a single-path operation and a multi-path operation in a sidelink discovery message based on the RSRP value. The WTRU may indicate support for the multi-path relay operation based on the RSRP value satisfying the second RSRP threshold. The WTRU may indicate support for the single-path relay operation based on the RSRP value satisfying the first RSRP threshold. The WTRU may transmit a sidelink discovery message indicating support for a single-path relay operation and / or a multi-path relay operation based on the RSRP value.

This application discloses a multi-path establishment method, a terminal, and a network side device, and belongs to the wireless communication field. The multi-path establishment method in an embodiment of this application includes: receiving, by a first terminal through a first path to a first base station, path addition signaling sent by the first base station, where the first path is a direct path between the first terminal and the first base station, the path addition signaling carries an identifier of a second terminal through which a second path passes, and the second path is an indirect path between the first terminal and the first base station.

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 present application relate to methods and apparatuses for handling establishment and failure in a multi-path case. According to an embodiment of the present application, a user equipment (UE) includes a processor and a transceiver coupled to the processor; and the processor is configured: to access a serving cell of a network node via a path, wherein the path is a direct path or an indirect path between the UE and the network node; to receive configuration information regarding a path addition procedure via the transceiver from the network node, wherein the path addition procedure is for adding a further path between the UE and the network node; to initiate the path addition procedure; and to start a timer related to the path addition procedure.

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 relates to the technical field of computers, in particular to a multi-path routing system and system based on traffic prediction, and the system comprises a traffic prediction module which is used for obtaining historical data of network traffic; predicting the network flow in a period of time in the future based on the historical data; the route selection module is in communication connection with the traffic prediction module and receives predicted traffic data sent by the traffic prediction module; a plurality of paths meeting the bandwidth requirement are selected for data transmission; the data transmission module is in communication connection with the route selection module and executes data transmission according to the multiple paths selected by the route selection module; the network monitoring module is in communication connection with the data transmission module and monitors data traffic in a network in real time; sending the real-time flow data to a routing selection module; the route adjustment module is in communication connection with the route selection module and the network monitoring module and is used for receiving the real-time flow data sent by the network monitoring module; and dynamically adjusting the path selected by the routing module based on the real-time flow data.

The invention relates to multi-path routing of a switch fabric. The switching fabric uses traffic congestion information to notify it of timely use of non-minimum routing. An ingress port of a network switch collects traffic congestion information from an egress port of the network switch. The traffic congestion information includes minimum and non-minimum routing congestion metrics for the egress port. A candidate egress port is identified for forwarding the data packet to the destination node. And selecting one of the candidate exit ports according to the traffic congestion information. The selection process is biased to select some candidate egress ports rather than other ports. In particular, a candidate egress port providing non-minimum routing to a destination node and having a high minimum routing congestion metric is not sponsored by a selection process.

The invention relates to an eVTOL (electric vertical take-off and landing aircraft)-oriented multipath transmission optimization and dynamic path selection method, and aims to solve the problems of bandwidth, delay and packet loss of an eVTOL aircraft in high-throughput video data transmission. According to the method, key performance indexes such as bandwidth, delay and packet loss rate of a path are monitored in real time, and path selection is optimized in combination with flight state data, so that low-delay and high-bandwidth transmission of a panoramic video stream is ensured. An improved multi-path load balancing strategy is adopted, the flow is distributed according to the path score and the bandwidth margin, network congestion is avoided, and the data transmission stability is improved. By enhancing an MPQUIC protocol and optimizing multi-path cooperative transmission, a low-delay path is preferentially selected to transmit high-priority data. A redundant transmission mechanism ensures that data can still be reliably transmitted through other paths even if a part of paths lose packets. The method provides technical support for the construction of an immersive eVTOL driving experience platform, meets the requirements of low time delay, high bandwidth and high sense of reality, and has a wide application prospect.

The invention discloses a multi-path cooperative communication method, belongs to the technical field of wireless communication, and is used for solving the problems of inaccurate path selection, unreasonable power distribution and inaccurate signal combination caused by dynamic change of a channel state in multi-path communication. The method comprises the following steps: acquiring channel state information of at least three communication paths in real time through a transmitting end, wherein the channel state information comprises signal strength, frequency offset and noise power spectral density; dynamically dividing and distributing the data stream to each path based on the path quality factor, and adjusting the transmitting power by combining the signal strength and the noise difference value; a receiving end carries out time domain alignment by adopting a sliding window cross-correlation algorithm, and carries out phase compensation based on a minimum mean square error criterion; path reallocation is triggered when the continuous bit error rate exceeds a threshold. According to the method, the multi-path resource utilization rate can be optimized, and the communication stability and the data transmission efficiency are improved.

The invention provides a game network acceleration method and device based on reinforcement learning multi-path collaboration. The method comprises the following steps: performing fixed-length fragmentation on game data to be sent, writing a continuous serial number and an error correction group identifier into each fragment, and generating redundant fragments in one-to-one correspondence with the fragments; inputting a path scheduler based on reinforcement learning by taking the packet loss probability prediction result as a state, and calculating respective path weights of the at least two proxy nodes to obtain a multi-path distribution strategy; according to a multi-path distribution strategy, sending the fragments and the redundant fragments corresponding to the fragments in parallel between the at least two proxy nodes; and performing forward error correction decoding and sequence rearrangement on the received fragments and the redundant fragments according to the error correction group identifiers, and reconstructing a complete game data packet sequence. According to the method and the device, the packet loss rate and the delay jitter can be dynamically reduced in a complex cross-border network environment, and the redundant bandwidth overhead is minimized while the real-time performance is ensured, so that stable and efficient game data transmission is realized.

The invention relates to the technical field of network security monitoring, in particular to a multipath network communication security guarantee method based on an adaptive encryption algorithm, comprising: acquiring a network undirected graph corresponding to a target network, the network undirected graph comprising a first node set, a second node set and an undirected edge set, the first node is used for collecting and managing data, the second node is used for monitoring the safety state of the first node, and the undirected edge is used for connecting the first node and the second node. According to the method, the behavior of the second node in the network is subjected to feature extraction, the trust level of each node can be dynamically evaluated and adjusted in combination with the pre-trained trust classification model, and the self-adaptive feature can effectively adjust the communication security level according to the actual situation, so that the security of the network is improved, and the user experience is improved. And potential security threats or malicious nodes can be identified by monitoring and analyzing the behavior of the second node.

The invention discloses an efficient fusion RGBT target tracking method based on a Mama architecture, belongs to the technical field of deep learning, and solves the problem of how to balance the performance and fusion efficiency of multi-modal target tracking. A global-local efficient fusion module is introduced to carry out modal interaction and fusion, two modal features carry out direct information interaction through channel exchange of odd-even indexes, and then further interaction is carried out through multi-path Mama; the multi-path Mamba designs four paths for performing relation modeling on multi-modal data, a forward path and a reverse path for performing modal-level interaction from a global view angle, and a mixed forward and channel forward path for performing token-level and channel-level interaction from a local view angle; a plurality of GLE modules are inserted into the feature extraction and relation modeling trunk to perform template fusion and search frame fusion in different stages, and related information is fed back to a trunk network; according to the invention, through the fusion module designed by the Mama architecture, fewer parameters and higher calculation efficiency are achieved, and meanwhile, higher tracking performance is kept.

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.

According to the multi-path cooling control method for the non-adjustable flow of the cooling spray box after hot plate rolling, the mode that an annular rail is combined with a trolley is adopted, the trolley bears a sample through a sample bearing table to do annular motion, the annular rail is an oval rail comprising two parallel linear segments and two semicircular segments, and at least one cooling spray box is arranged along the linear segment rail; the cooling area can be infinitely lengthened at any workpiece speed; according to the cooling starting temperature, the water cooling speed, the cooling stopping temperature, the cooling stopping time between the cooling areas and the production line cooling spray box layout of the N cooling areas determined by the experiment, the experiment device is configured according to different spray box opening modes, the cooling experiment is carried out, and spray box opening mode parameters corresponding to the optimal cooling speed of the N cooling areas are obtained; carrying out cooling control after rolling on corresponding sample production; besides, the method is implemented under the condition basically consistent with the actual working condition of the production line, so that the product design output and the production line process control are more accurate and efficient, the product research and development speed can be effectively increased, the process control precision is improved, and the production line trial-manufacturing cost is reduced.

The invention discloses a secure video transmission method based on a block chain and multi-path dynamic routing, and belongs to the field of video data secure transmission. According to the invention, malicious nodes are identified and isolated through a black hole detection mechanism, data packet loss and tampering are avoided, and the security of video data transmission is improved. And credibility calculation is carried out on the nodes, and only credible nodes are selected for data transmission, so that retransmission and resource waste are reduced. According to the dynamic routing optimization, the optimal path is quickly selected by analyzing the network topology and the node trust value in real time, the transmission delay caused by node failure or path change is reduced, and the network stability and the transmission efficiency are improved. And finally, introducing a block chain technology, recording operation in a data transmission process in a tamper-resistant distributed account book, and verifying the integrity and authenticity of the data by using a content identifier. The decentralization characteristic of the block chain enhances the transparency and traceability of the transmission process, and effectively prevents data tampering and information leakage.

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.