2984 results about "Router" patented technology

The invention discloses a multi-door-lock cooperative processing method and system, and the method comprises the steps: generating an assistance request IGMP multicast message according to a preset triggering operation detected by a first door lock B and read RFID identification information, and transmitting the assistance request IGMP multicast message to a router; according to the assistance request IGMP multicast message, recording interface information and validity period associated with the RFID identification information in a multicast forwarding table entry, and caching the multicast message; according to the preset triggering operation detected by the second door lock A and the same read RFID identification information, an assisted request multicast message containing the RFID identification information is generated, and the assisted request multicast message is sent to the router; according to the RFID identification information and the multicast forwarding table item, after the validity period is verified to be not expired, the message is directionally forwarded to the first door lock B, the first door lock B sends an assistance confirmation message to the second door lock A, and a robot calling instruction is triggered. According to the embodiment of the invention, low-delay and high-reliability door lock cooperative control can be realized.

The systems and methods disclosed herein orchestrate task execution among autonomous (or semi-autonomous) AI agentic models (“agents”) using a gateway router that dynamically coordinates the agents based on prompt characteristics, user context, and / or real-time operational factors. Received inputs (e.g., prompts) are segmented into subcomponents (e.g., sub-queries), which are routed / mapped to candidate agents based on the output parameters of the subcomponent (e.g., performance thresholds, cost thresholds) and operational parameters (e.g., cost, performance metric values, user access restrictions, timing restrictions) of each agent. The gateway router maintains dynamic routing data structures for each agent that are continuously updated based on environmental stimuli (e.g., geo-political stimuli, sensor stimuli, agent stimuli). For example, the gateway router causes agents to dynamically switch between rule engines identified by the routing tables in response to detecting environmental stimuli. Responses from the candidate agents are aggregated into an output that is responsive to the input.

The invention relates to the technical field of computer network communication, and relates to a reconfigurable router architecture based on buffer sharing and a dynamic routing method. The router architecture comprises a demultiplexer used for distributing data packets to centralized buffer areas of other ports according to port load states; the virtual channel distribution module is configured to determine an output port of the data packet according to a routing algorithm and generate a corresponding virtual channel ID; the centralized buffer area supports multi-port sharing and is divided into a plurality of logic sub-channels according to virtual channel IDs, and each sub-channel manages a data packet queue through a head pointer and a tail pointer; the credit management module is used for monitoring the idle capacity of the centralized buffer area and transmitting congestion information through a reserved bit of a data packet; and the congestion register dynamically records the congestion state of the neighbor node through the congestion information table. According to the invention, the problems of unbalanced load, low utilization rate of a buffer area and high congestion control cost of a traditional router are solved.

Examples described herein relate to a switch or router. In some examples, the switch or router is to: based on receipt of a control packet associated with a first link, store the control packet into a first region of memory associated with the first link; based on receipt of a data packet associated with the first link, store the data packet into a second region of memory associated with the first link; based on the control packet and data packet to egress from a same output port, insert a strict subset of content of the control packet into the data packet to form a second data packet; and cause transmission of the second data packet to a device from the output port.

What is disclosed is a method for trust-minimized value-exchange between a source and a destination token. An off-chain trusted API (OCTAPI) is connected to a first and a second interchain router (ICR); and a first and a second smart contract (SC). The first and second SCs are associated with source and destination chains, and comprise a first and a second vault, respectively. The first ICR is associated with the first SC and connected to a source decentralized exchange (DEX). The second ICR is associated with the second SC and connected to a destination DEX. When a transaction order is received, the OCTAPI initiates a debit swap via the first ICR and source DEX. When the OCTAPI determines the debit swap is being validated, the OCTAPI initiates a credit swap via the second ICR and destination DEX. At least some part of the debit swap and credit swap occur in parallel.

The invention belongs to the technical field of natural language processing, and discloses a large language model fine tuning method based on a hybrid routing policy, which comprises the following steps: acquiring a pre-trained large language model; constructing an expert model of the hybrid fine tuning module; an expert model of the hybrid fine tuning module comprises a pre-trained large language model, an expert network and a gating network; the expert network comprises a plurality of experts enhanced by the fine tuning module; inputting the training data into an expert model of a hybrid fine tuning module, obtaining information entropy of an expert network, and determining expert distribution based on a hybrid routing strategy of the entropy; obtaining the total loss of the expert model of the hybrid fine tuning module; and optimizing the expert network and the gating network according to the total loss. The invention provides a new hybrid routing strategy, the uncertainty of routers is reduced, the stability of the model is enhanced, and the fair participation of experts is promoted, so that the convergence speed of the model is accelerated, and the performance is improved.

The invention discloses a TSN scheduling optimization method and device based on flow sensing autonomous learning, equipment and a medium. The method comprises the following steps: deploying a lightweight flow detection module in a switch or a router, and after a controller receives a data request, automatically identifying a newly arrived unknown service flow by using the lightweight flow detection module, and judging whether the newly arrived unknown service flow is a periodic TT flow or an unpredictable burst flow; the controller performs classification management on the identified service flow types, collects topological information and flow requirements of the whole network and issues the topological information and the flow requirements to the terminal nodes through a network management interface; the controller constructs an intelligent queue scheduling task based on the collected network topology information and traffic demand and converts the task into a Markov decision process MDP, network resources, queue states and priorities are used as a state space, a scheduling strategy is used as an action space, a reward function is designed in combination with throughput and delay indexes, and an intelligent queue scheduling task is obtained. Driving a dynamic environment through real-time data and training a DRL model; an enhanced queue scheduling mechanism Pro-CQF is adopted, different priority labels are configured according to classified flow types, and then mixed flow scheduling is carried out; the controller periodically collects time delay, packet loss rate and end-to-end transmission delay indexes and feeds back the indexes to the DRL model, and a scheduling strategy is updated online. According to the method, the traffic sensing and scheduling efficiency is greatly improved in a network environment in which multiple service flows coexist and end-side equipment functions are different, and the reliability and the expandability of the TSN in industrial Internet of Things, edge computing and other high-real-time application scenes are remarkably enhanced.

The invention discloses a door lock and card cooperative processing method and system, and the method comprises the steps: triggering a robot calling process according to preset times of doorbell button operation detected by a first door lock and read neighbor RFID card information, verifying a matching result of an RFID card and a resident registration form, and generating an authority verification passing signal; calculating a target multicast address based on the ID number of the RFID card, and converting the ID number of the RFID card into a false source IP address to obtain a communication parameter set; sending an IGMPv3 report message to the router according to the communication parameter set; according to the triggering operation of the same RFID card detected by the assisted second door lock, an assistance multicast request message is generated, the (S, G) forwarding table item is matched through the router and forwarded to the first door lock, the first door lock sends an assistance confirmation message to the second door lock, and robot calling authorization is completed. By utilizing the embodiment of the invention, efficient, safe and low-delay cross-door-lock cooperative operation can be realized.

The invention discloses a communication method for an enterprise network and remote router equipment of a DCS (Distributed Control System). A communication adaptation module is arranged at an enterprise network end and comprises a protocol conversion unit, a data encryption unit, a flow regulation and control unit and a timestamp embedding unit; the far-end router equipment end is provided with a corresponding reverse communication adaptation module. Two-way interaction of data and control instructions is realized through a two-way communication link, and a dynamic link detection and repair sub-module is configured to guarantee stability of the link. According to the method, the problems of protocol compatibility, data security, flow regulation and control, time management, link maintenance and the like are solved, the communication efficiency and quality are improved, efficient, safe and stable operation of remote communication and control functions of the DCS in industrial production is ensured, and the method has a good application prospect.

The invention discloses a multi-communication group fusion holding method and system for an intelligent door lock, and the method comprises the steps: building an independent multicast tree taking a feature vector as an identifier according to a communication group request initiated by each main control door lock; generating a multicast message containing a target communication group feature vector and a digital signature according to a merging request sent by the first master control door lock; according to feature vectors exchanged by the master control door locks of the two parties through a secure channel, a target master control door lock initiates feature interception registration, and negotiates and establishes a boundary feature tag rewriting rule; and according to the established forwarding path and the rewriting rule, the audio and video streams of the communication groups of the two parties are subjected to feature tag rewriting through the network boundary router, and then bidirectional intercommunication is realized. By utilizing the embodiment of the invention, the dynamic security isolation and seamless fusion of multiple communication groups can be realized, the network load and transmission delay are reduced, meanwhile, the terminal door lock can realize audio and video intercommunication without sensing the network address of the opposite end or changing the configuration, and the expansibility, the security and the user experience of the system are improved.

The invention discloses a door lock communication group decomposition method and system, and the method comprises the steps: encrypting and issuing a sub-feature vector to a local storage of a corresponding member door lock through a secure channel according to the sub-feature vector generated by a main control door lock and a binding relation between the sub-feature vector and the member door lock; generating a multicast message containing a target subgroup feature vector and a digital signature according to a splitting request sent by a main control door lock; according to the result of querying the local ARP table and the subgroup registry by the multicast router, determining the subgroup to which the door lock connected with each interface belongs, and registering the corresponding sub-feature vector for the corresponding interface in the multicast forwarding table; and according to a detection message sent by each sub-group master control door lock and a confirmation message of a member door lock, the multicast router identifies and removes sub-feature vector registration of an interface which is not associated with an effective door lock, and communication group decomposition is completed. By utilizing the embodiment of the invention, safe, reliable and interface-level refined door lock group decomposition can be realized, and the splitting efficiency and the communication safety are improved.

The invention relates to the field of equipment safety verification, in particular to a wifi router on-line upgrading safety verification method and a wifi router on-line upgrading safety verification system. A wifi router online upgrade security verification system comprises a firmware package construction module, a firmware package verification module and a guarantee activation module. According to the method, a firmware packet header protection logic closed loop is formed through an innovatively designed multi-order composite verification structural body and an anti-offset signature positioning framework; the system can detect the nanoscale tampering of an attacker to the length identification field in real time, cuts off the power supply of the flash memory controller and erases the data buffer area at the hardware fusing level response speed when verification fails, and compared with a traditional scheme, the response efficiency is improved.

The invention relates to the technical field of network communication and route management, in particular to an intelligent router flow management method for a home scene, which comprises the following steps that: a home router collects network activity data of equipment, including data flow size, connection frequency and equipment type, performs cleaning and formatting processing, and stores the data flow size, the connection frequency and the equipment type; formatted device behavior data is generated. According to the method for analyzing the behavior data of the home network equipment based on the long and short-term memory network, the prediction precision of the periodicity and dependency of user behaviors is improved, and the allocation of bandwidth resources is more prospective and dynamic. Specifically, resources can be automatically adjusted according to predicted data requirements, and particularly in the peak period of requirements, it is ensured that key applications such as video conferences and online education preferentially obtain necessary network resources. According to the flow management technology, the overall operation efficiency of the network is improved by optimizing bandwidth utilization and reducing network congestion.

The invention discloses a recovery strategy generation method and device suitable for fault first-aid repair, terminal equipment and a storage medium, and constructs a first-aid repair scheduling model used for measuring fault first-aid repair efficiency and a communication recovery scheduling model used for measuring communication network recovery speed. Therefore, the first-aid repair capability of the construction team, the power supply capability of the power supply and the recovery demand of the power distribution network path can be comprehensively considered, comprehensive cooperative scheduling of first-aid repair resources such as the construction team and the mobile power supply is realized, and the utilization efficiency of the first-aid repair resources is improved. Fault repair and recovery of the communication network are fully considered, the state of the router can be adjusted in time, and a switch can operate normally, so that the situation that recovery of the power distribution network is limited due to communication problems is avoided; according to the invention, the finally generated target recovery strategy can reduce the load loss of the power distribution network to the greatest extent in the first-aid repair process, so that the power supply can be quickly recovered, and the stable operation of the power system and the normal power supply of the user are ensured.

A system and method in a building or vehicle for an actuator operation in response to a sensor according to a control logic, the system comprising a router or a gateway communicating with a device associated with the sensor and a device associated with the actuator over in-building or in-vehicle networks, and an external Internet-connected control server associated with the control logic implementing a PID closed linear control loop and communicating with the router over external network for controlling the in-building or in-vehicle phenomenon. The sensor may be a microphone or a camera, and the system may include voice or image processing as part of the control logic. A redundancy is used by using multiple sensors or actuators, or by using multiple data paths over the building or vehicle internal or external communication. The networks may be wired or wireless, and may be BAN, PAN, LAN, WAN, or home networks.

According to one embodiment, a method, computer system, and computer program product for routing acceleration in mixture of experts ensembles is provided. The present invention may include receiving input data at a router; generating a plurality of output vectors by applying a routing function to the input data, wherein each output vector is associated with one or more respective tiles or pairs of tiles in a plurality of MVM tiles; determining a plurality of sub-vectors in the output vectors, wherein each sub-vector in the plurality of sub-vectors is associated with a respective output vector in the plurality of output vectors, and merging the sub-vectors into an element vector; generating a probability distribution vector by applying a Softmax function to the element vector and determining the largest elements of the probability distribution; and configuring the router based on the one or more largest elements of the probability distribution.

The invention discloses an optimal service discovery method based on explicit multicast assistance, a medium and equipment. The method comprises the steps that a user side obtains an IP address list of a target server through DNS query and caches the IP address list; based on the real-time network topology, generating a shortest path tree from a user side to all target servers by using a Dijkstra algorithm; an explicit multicast message with a head carrying a target IP list is constructed, and the intermediate router splits the message into unicast or sub-multicast messages according to a next-hop interface; and the user side determines the optimal server by monitoring the first effective response message. According to the method, traditional multicast addresses are replaced by explicit multicast, address resources are saved, network repeated traffic is reduced, meanwhile, dynamic path tree optimization and an intelligent message splitting mechanism are combined, service discovery delay is remarkably shortened, the method is suitable for high-concurrency scenes such as a distributed CDN, the Internet of Things and video live broadcast, bandwidth consumption is effectively reduced, and service reliability is improved.

The invention discloses a method, a medium and equipment for realizing front-end management routing permission and page content permission based on vue.js, belongs to the technical field of software development, and aims to solve the technical problems of how to flexibly configure and manage access permissions of different roles, ensure the accuracy and leakproofness of the permissions and improve the user experience. The technical scheme adopted by the invention is as follows: Vue routing information registration management: managing front-end page routing by using vue-router; the website user customizes role information: customizes the role information through the background management system; page permissions are allocated to the roles; the routing authority and the page authority are stored in a database; the data of the routing authority and the page authority are stored in the database through an API; the website user creates a new user and binds the new user to a corresponding role; and after a new user logs in, querying and returning a corresponding routing list and a page permission function point list according to the role of the user, and carrying out routing filtering and page content permission control at the front end.

The invention relates to a path selection method and device, equipment, a router and a storage medium. The method comprises the following steps: acquiring basic information corresponding to a node which is newly accessed to a Bluetooth Mesh network, and updating a network topology structure according to the basic information corresponding to the node; state information corresponding to each node in the network topology structure is monitored; according to the state information corresponding to each node in the network topology structure, identifying a risk node in each node; and selecting a path for a currently transmitted data packet according to the risk node in the network topology structure, and transmitting the data packet to a target node corresponding to the data packet. In the process of routing the data packet, the change of each node in the network topology structure is monitored in real time, the risk node is identified according to the state information of each node, and the path of the data packet is dynamically adjusted according to the identified risk node, so that the risk node in the path is prevented from reducing the sending efficiency of the data packet.

A router with network virtualization and configuration may be configured for a client site including a plurality of electronic devices. A configuration may be downloaded by the router, which then performs network configuration steps automatically including by identifying the plurality of devices at the client site and provisioning them according the LAN configuration. A user interface (UI) for configuring a network may include a router administrator dashboard for creating a detailed network configuration by assigning a plurality of ports of the router to the plurality of electronic devices in the selected network configuration, and sending the detailed network configuration to the router for use by the router in creating a network with the plurality of electronic devices at the client site.

A method and apparatus comprising computer code configured to cause a processor or processors to form one or more routers of a mixture of experts (MoE) model by computing router parameters based on a plurality of MoE weights, implement at least one of the routers of the MoE model to compute one or more outputs by using a number of the MoE weights less than that of the plurality of MoE weights, and derive an MoE expert based on iteratively updating the router parameters according to the one or more outputs.

The invention provides a communication method and a communication device. The method comprises: a transmitting end device receives a first message from a receiving end device through a router, the first message comprising a first field for representing the signal strength of the receiving end device, and further comprising a second field for representing the signal strength of the router. And the sending end equipment determines the distance between the receiving end equipment and the router according to the first field, determines the distance between the router and the sending end equipment according to the second field, and establishes signaling connection with the receiving end equipment through the local area network when the two distances meet a certain condition. And when the distance between the transmitting end equipment and the receiving end equipment meets a certain condition, establishing data connection with the receiving end equipment in a point-to-point manner. According to the communication method and the communication device, the success rate of establishing the signaling connection by the electronic equipment through the local area network can be ensured as much as possible, and the success rate of establishing the data connection in a point-to-point manner can be ensured as much as possible.

The invention discloses a method for increasing and suppressing the number of alarms through an alarm source, and relates to the technical field of communication network operation and maintenance, and the method specifically comprises the steps: constructing a network real-time topology, building a set membership graph between a router and a downlink device, and when the heartbeat overtime alarm of the downlink device occurs in the network, starting the router according to the set membership graph. And counting the proportion of the lost equipment in a sliding time window taking the parent router as the dimension, when the proportion of the lost equipment exceeds a threshold value, judging that the router is a root cause, sending out an early warning of the router meeting the condition of a root cause determiner, and shielding the overtime alarm of the router. According to the method, the root cause event of'all the downlink devices of the same route are disconnected 'is dynamically identified in the real-time alarm flow, and a high-severity router fault alarm is used for replacing a plurality of device heartbeat overtime alarms, so that the alarm noise is remarkably reduced, and the operation and maintenance efficiency is improved.

The invention belongs to the technical field of artificial intelligence, and particularly relates to a dialogue message queue management system based on a large model cluster. The system comprises a message preprocessing module, a message router, a plurality of independent priority queues, a resource scheduler, a dialogue state manager and a large model cluster. The message preprocessing module receives an external dialogue request, constructs a metadata object, allocates a priority queue tag, calculates a static score and records a timestamp; the message router distributes the request to a corresponding priority queue according to the label; the resource scheduler executes a scheduling strategy, calculates a dynamic priority score, realizes load balancing, retrieves historical context information from the dialogue state manager, combines a request and a context into a processing task and dispatches the processing task to a large model cluster; the large model cluster returns model response to the resource scheduler, and the dialogue state manager is responsible for context storage and updating. All the components of the system can efficiently process the dialogue message request through close cooperation.

The invention provides a resource optimization method and system for a router, a gateway and a camera in the technical field of edge computing. The method comprises the following steps: S1, training a network state prediction model and deploying the network state prediction model to edge computing equipment; s2, the edge computing device collects network index data based on a dynamic weight data collection mechanism and caches the network index data to a time sequence database; s3, inputting the network index data into the network state prediction model to obtain a network state prediction result; s4, generating a network resource optimization strategy based on the network state prediction result, verifying the network resource optimization strategy based on the digital twin technology, and executing the network resource optimization strategy; and S5, performing rolling updating on the network index data cached in the time sequence database based on the access times and the final access time. The method has the advantages that the flexibility and rationality of network resource configuration are greatly improved, and then the system performance and efficiency are greatly improved.

The invention discloses a dynamic bypass fault-tolerant router in a network-on-chip. The dynamic bypass fault-tolerant router comprises input and output ports, an input buffer area, a crossbar switch, a routing calculation unit, a self-checking circuit and a bypass channel. Key features comprise a fault information unit, a bypass selector, a single flit buffer area and an arbitration unit. The router detects the self-fault through the self-checking circuit, and the fault information unit stores the information. And if the router fails, the bypass selector transmits the data packet through the bypass channel and bypasses the failed router. If the router is healthy, the router exchanges fault information with an adjacent router, the fault information is used for routing decision of a data packet after integration, and meanwhile, the router can select a routing path with smaller congestion in an effective direction according to the flow distribution condition in a network. According to the method, the area overhead is relatively low, the routing hop count of the data packet is remarkably reduced, the transmission delay of the data packet is reduced while the high reliability is maintained, and the network throughput is improved.

A computer-implemented system and computer instructions stored on non-transitory computer readable medium for bilingual medical inquiry in both Arabic and English, including multiple-choice question answering, open-ended question answering, and multi-turn question answering. The system and instructions use a mixture of experts large language model (MOE LLM) having a router network connected to multiple expert networks. The MOE LLM is trained with medical domain data and is used to receive the input bilingual text in a format for a medical inquiry, and output text in a format of a response to the medical inquiry, in sequence. The system and instructions incorporate an English-to-Arabic translation pipeline having a language translation model to generate Arabic language medical instruction sets from English language medical instructions, for large scale use in Arabic and English medical inquiry.

Methods and systems are provided for cooperating routers in communication networks. The cooperating routers conduct a handshake to exchange information with respect to “cooperation types” which they are capable of performing and / or are configured to perform. In an exemplary “emergency connection” cooperation type, one cooperating router may use the ISP connection of another cooperating router to send and receive packets. In an exemplary “bandwidth sharing” cooperation type, one cooperating router may make excess bandwidth available for use by other cooperating routers. In an exemplary “latency optimization” cooperation type, one cooperating router may use another cooperating router to transmit duplicates of packets or to implement suppression techniques.

The present application provides an endogenous-security network method and architecture, a medium, and a device. The method comprises: extracting forwarding characteristic information of normal service data flows; delivering the forwarding characteristic information of the normal service data flows to a transport network element, so as to form a forwarding table entry, a flow table, and a forwarding white list, wherein forwarding modes in a method for binding service data flow forwarding characteristics to forwarding table entries of transport network elements comprises: an authentication and authorization mode and an automatic learning mode; the transport network element performing packet forwarding according to the forwarding characteristic information of the normal service data flows; and discarding packets of abnormal service data flows, wherein packet identification is performed for forwarding operations on the basis of a whitelist automatically generated from configuration files of switches and routers. The present application solves the technical issue of an IP network having low inherent security protection capabilities due to the openness thereof and thus requiring the deployment of a large number of external security protection facilities. The issue results in poor effectiveness, high costs, and difficulty in establishing low-cost security protection capabilities, and ultimately makes the IP network easy to attack but difficult to defend.

A method and apparatus comprising computer code configured to cause a processor or processors to receive an input question to the LLM, the LLM comprising a pretrained model and an aligned model, determine whether a portion of an unfinished response to the input question is factual, and answer the input question by at least adding to the unfinished response by a token-level router routing either to the pretrained model, based on determining that the portion is factual, or routing to the aligned model, based on determining that the portion is not factual.