503 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 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 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.

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 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 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 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 relates to the technical field of network communication, and discloses a multi-path routing proxy method, a storage medium and a system, and the method comprises the steps: identifying the session type, protocol type and session feature parameters of a data flow, querying corresponding performance index coefficients according to the session type of the data flow, and obtaining a multi-path routing proxy according to the corresponding performance index coefficients. And calculating the score of each potential path in the path connection pool according to the real-time performance indexes of the potential paths. And matching with a preset demand type according to the session type, the protocol type and the session feature parameter, and determining a data distribution strategy according to the matched demand type. And finally, according to the determined data distribution strategy, calculating the number of paths corresponding to the data flow, selecting the potential paths with the corresponding number with the top scores as the distribution paths of the data flow, and completing the distribution of the data flow along the corresponding distribution paths according to the corresponding data distribution strategy. According to the method, the transmission quality of the routing system for different types of application data can be improved.

The invention discloses a novel data transmission interaction mode, which belongs to the technical field of data transmission interaction, and comprises the following steps of: performing dual authentication through quantum key distribution and biological characteristics, monitoring and analyzing a network state in real time through AI after the dual authentication, dynamically selecting an optimal transmission path and distributing a load. By combining dynamic weight adjustment and path priority scoring, path optimization which is more intelligent than that of a traditional dynamic routing protocol is realized, an optimal path can be more accurately selected through comprehensive scoring and correlation interference resistance coefficients, and a dynamic load distribution formula ensures flow balance, maximizes the network utilization rate, reduces congestion and delay and improves the routing efficiency. The path correlation suppression mechanism can avoid multi-path simultaneous congestion, improves the overall reliability of the system, and is suitable for a complex network environment.

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 discloses a data operation request processing method and device, a storage medium and electronic equipment, and relates to the technical field of computers, the data operation request processing method comprises the following steps: executing a first locking operation on at least one first data block in a first volume in active-active volumes, and sending a synchronous locking request to a second volume matched with the first volume; after the first locking operation and the second locking operation are completed, executing a target data operation matched with the data operation request according to the first data block, and sending a reference data operation request to the second volume; and after the target data operation in the first volume and the second volume is completed, returning a data operation result matched with the data operation request through the first volume. Since the first volume can be the master volume or the slave volume, that is, both the master volume and the slave volume can be used for responding to the data operation request, dependence on a complex multi-path strategy is not needed, the requirement for a communication network between the master volume and the slave volume is lowered, and the problem that the synchronization efficiency is lowered in an existing data synchronization method is effectively solved.

The invention provides a multi-path vibration energy collection device, and the device comprises a mass block which can generate relative movement under the excitation effect; the piezoelectric cantilever beams are arranged on the two transverse sides of the mass block and used for responding to high-frequency micro-amplitude vibration energy; the permanent magnet assembly is fixed in the moving direction of the mass block and is matched with the induction coil to realize magnetoelectric energy conversion; the piezoelectric cantilever beam is connected with the bridge rectifier and the thyristor threshold trigger circuit 1, and the permanent magnet assembly is connected with the bridge rectifier and the thyristor threshold trigger circuit 2 to form a double-independent energy collection channel. The method has the following advantages: (1) a path orthogonal decoupling design is adopted, so that a structure and energy dual-independent acquisition path is realized; (2) the energy conversion efficiency is improved based on a coupling response mechanism of mass block inertia driving; and (3) a thyristor threshold triggering mechanism realizes micro-energy efficient conversion, and the output is stable and reliable.

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 discloses a communication transmission method and device based on multipath delay optimization and a storage medium, and relates to the technical field of communication, and the method comprises the steps: collecting link information in an SRv6 network through a routing protocol; calculating a plurality of preset paths through a maximum flow algorithm according to the link information; generating a segment routing table for each path in the plurality of preset paths; obtaining an SRv6 data packet to be forwarded; determining a target routing path from the segment routing table based on the to-be-forwarded SRv6 data packet; and performing data transmission on the to-be-forwarded SRv6 data packet according to the target routing path. The problems that a traditional end-to-end transmission protocol is poor in performance and high in packet loss rate in a long-distance network are solved, a network with committed quality is introduced again, the compatibility to an existing actual network is high, cross-platform extensibility is achieved, and the network transmission quality is improved.

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 invention provides a multi-path fault recovery method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining state data of storage equipment associated with a plurality of fault paths in a target storage system, and detecting whether the plurality of fault paths are recovered to a normal state or not based on the state data; when it is detected that the path state of the target fault path is recovered, performing multi-stage verification processing on the target fault path; if the target fault path does not pass the multi-stage verification, performing path repair operation on the target fault path which does not pass the multi-stage verification based on the non-passed verification type; and registering the repaired target fault path and the target fault path passing the multi-stage verification to an active path pool. Compared with the prior art, when it is detected that the path state of the target fault path is recovered, multi-stage verification processing is performed on the target fault path, and whether the recovered path has potential problems or not can be comprehensively and meticulously checked.

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.

The invention provides a differentiated service classification and multi-path traffic scheduling method and system, and belongs to the technical field of network communication, the quintuple, packet size and timestamp characteristics of each data packet are captured in real time, a timestamp is mapped to an image horizontal axis, the packet size is mapped to a longitudinal axis after standardization, and discrete data is converted into a continuous visual mode; classifying the traffic in the network by using a pre-trained classification model, and distributing corresponding service requirements and priorities for each traffic type; distributing an INT data packet for each path, and detecting and monitoring the time delay, throughput and packet loss rate of the path in real time; and selecting an optimal path by adopting a CMAB algorithm in combination with the priority of the flow, the service demand, the real-time performance of the path and historical scheduling feedback. According to the invention, comprehensive path quality evaluation is realized; the high-priority service is ensured to obtain stable and high-quality transmission quality; and the accuracy and robustness of path selection are improved.

Embodiments of this application provide a multi-path configuration method, an apparatus, and a system, to provide a procedure in which remote user equipment (UE) establishes a plurality of paths by using a single path. The method includes: A first terminal device receives a first message from a network device through a first path, where the first message indicates the first terminal device to establish a second path between the first terminal device and the network device, and the second path is different from the first path; the first terminal device establishes the second path in a second cell by using the first message; and the first terminal device maintains a media access control (MAC) entity, where the MAC entity is used by the first terminal device to communicate with the network device through a direct path in the first path or the second path.

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.