463 results about "Service networks" patented technology

The invention discloses a multi-mode fusion time service method and system based on dynamic calibration of DCP equipment. The method comprises the following steps: completing initial time reference data acquisition based on a multi-mode satellite signal; meanwhile, time data of a ground time service network are collected, and motion parameters of DCP equipment are monitored in real time through an inertial navigation unit; establishing a correlation model of the motion parameter and the time service error; quantitative analysis of error sources is completed based on the correlation model; fusing the multi-source time data; dynamically adjusting the fusion weight of each data source according to the real-time motion state of the DCP equipment; redundant time slots are automatically distributed to high-error equipment; outputting the calibrated time signal to DCP equipment through an interface to complete clock synchronization; and continuously monitoring the time deviation of the DCP equipment, and dynamically updating the calibration parameters to form closed-loop optimization. And the environmental adaptability and the precision stability of the timing system are improved.

A network device may receive one or more first user inputs in a security gateway creation user interface (UI) provided by a controller. A network device may query, by the controller, the CSP using Application Programming Interfaces (APIs) to retrieve information about applications within the at least one virtualized network environment including any services deployed within the at least one virtualized network environment. A network device may present a security status user interface that identifies the at least one virtualized network environment applications configured in the CSP account and a respective status indicating whether the at least one virtualized network environment is protected by the security gateway. A network device may receive a second user input within the security status user interface, the second user input is effective to enable protection of the at least one virtualized network environment by the security gateway.

Apparatus and methods are disclosed for retrieving data, responsive to received input, at a microservice supporting an application programming interface (API). A score is generated, indicating likeness of semantic content, between each of multiple candidate API-conforming queries and the received input. Queries are selected based on their scores, and executed on a live repository. Based on retrieved data, a response to the input is formulated and transmitted. Disclosed techniques are suitable for a data producer front end in a copilot having a microservice network architecture. Compared to much larger competing LLMs, comparable or superior performance is achieved for certain tasks, while computation time and hardware requirements are significantly reduced, even to a single compute node with a single GPU. One or more data producers can provide a retrieval microservice with access to various databases having respective APIs, to extend the copilot's reach. Variations and additional techniques are disclosed.

A method performed by a communication device (12) is disclosed. The communication device (12) stores, at the communication device (12), a self-organizing network, SON, report (16) associated with a non-public network, NPN, including storing the SON report (16) in association with an NPN identifier of the NPN with which the SON report (16) is associated. The communication device (12) also transmits a message to the serving network indicating that the SON report (16) is available at the communication device (12), if a serving network of the communication device (12) is an NPN identified by an NPN identifier which matches the NPN identifier associated with the SON report (16).

According to the energy storage system battery full life cycle state perception and value circulation method and system, digital twin bodies of all battery modules are generated according to battery static information, and life cycle stage identifiers are set in the digital twin bodies; training is carried out based on a federated task scheduling contract, an edge calculation unit of each energy storage power station enters a corresponding federated collaborative clustering group through dynamic matching according to the life cycle stage identifier, and a corresponding stage global sensing model and model parameters thereof are obtained; updating the corresponding stage global perception model parameters by using the global model parameter update quantity obtained by decryption; the under-chain service network writes a state evaluation result and an evaluation timestamp into a digital twinborn body of each battery module according to the updated parameters of the stage global perception model and the real-time operation data of each battery module; and monitoring the SOH of each battery module in real time to update the life cycle stage identifier, performing training based on a federated task scheduling contract, and constructing a full life cycle data file.

A serving network establishes a connection with a UE via an N3AN using a trusted registration procedure to establish a secure access link between the UE and the serving network via the N3AN. The serving network sends a trust indication message via the N3AN to the UE using the secure access link to identify the N3AN as trusted or untrusted. When the received trust indication message indicates the N3AN is untrusted, the serving network executes an untrusted registration procedure with the UE using the secure access link to establish the connection between the UE and the serving network. When the received trust indication message indicates the N3AN is trusted, the serving network continues execution of the initial registration with the UE using the trusted registration procedure to establish the connection between the UE and the serving network. The UE and serving network exchange messages via the established connection.

A system can execute a containerized application that comprises a microservice in a decentralized service mesh architecture, and a sidecar. The system can intercept, by the containerized application, a call from the microservice that is directed to a remote endpoint, and direct the call to the sidecar. The system can communicate, by the sidecar to an identity manager, service account credentials associated with the microservice, resulting in receiving an identity token associated with the microservice. The system can determine, by the sidecar, connectivity information of the remote endpoint based on a virtual address of the remote endpoint identified in the call. The system can communicate, by the sidecar to a token exchanger, the identity token and the connectivity information, resulting in receiving an access token and a network route to the remote endpoint. The system can relay, by the sidecar, network traffic between the microservice and the remote endpoint.

The invention discloses a satellite-ground convergence network switching method, which comprises the following steps of: operating double protocol stacks of a 5G protocol stack and a satellite communication protocol stack in parallel in a user terminal embedded environment, maintaining active connection of double link layers, and acquiring a parameter set in real time through a multi-dimensional link quality monitoring module; inputting the parameter set into an embedded prediction model, and predicting whether the current network quality is lower than a first quality threshold in a specific time window based on a historical link degradation mode and a real-time change trend; when the prediction triggering condition is satisfied, the encrypted context information group is pre-synchronized to the target network control entity through the security signaling channel of the current service network immediately; when it is monitored that the actual link quality is reduced to a second quality threshold value, the pre-synchronized context information group is directly activated to execute atomization switching operation, and it is ensured that the end-to-end switching time delay is controlled within a preset time delay range; according to the method, instantaneous seamless switching of the network is finally realized, and high-real-time service transmission reliability is ensured.

Apparatuses, methods, and systems for managing a network demand for emergency services are disclosed. One method includes adaptively reserving, by a base station of a satellite network, reserved PRACH (physical random access channel) preambles for a plurality of reserved services, broadcasting, by the base station, the configuration, wherein a wireless device receives the reserved PRACH preambles configuration, wherein the wireless device selects a reserved service from the plurality of reserved services and transmits a PRACH preamble from the reserved preambles, and transmitting, by the base station, a message grant to the wireless device in response to the PRACH preamble, wherein the wireless device transmits to the base station a response that includes data for the selected reserved service and an identifier of the wireless device, in response to the message grant from the base station.

The invention discloses a home appliance dual-network hub site selection planning method based on a hybrid heuristic algorithm. The method comprises the following steps: firstly, modeling a home appliance dual-network hub site selection planning problem into a mathematical model taking the minimum comprehensive cost as an optimization target; and then, solving by using a hybrid heuristic algorithm. The algorithm is a priority competition allocation algorithm based on a simulated annealing framework. Two attribute indexes of a comprehensive load coefficient and a distance sensitivity coefficient of a site are defined, the competition degree of the site for hub resources and hub distance sensitivity of the site are quantified, a reasonable distribution sequence is determined, resource conflicts are reduced, efficient configuration of hub resources of a sales service network is achieved, and the service efficiency of the sales service network is improved. The problem that a traditional clustering method is low in solving quality is effectively solved.

An object is to provide a core network device being able to efficiently perform secondary authentication to be performed for each network slice. A core network device (10) according to the present disclosure includes an authentication unit (11) configured to perform, during registration processing of registering a communication terminal in a core network, first authentication processing of determining whether the communication terminal is a communication terminal permitted to be registered in the core network, a communication unit (13) configured to receive permission list information indicating at least one network slice usable by the communication terminal in a serving network, and an authentication unit (12) configured to perform, during registration processing of registering the communication terminal in the core network, second authentication processing of determining whether the communication terminal is a communication terminal permitted to use a network slice included in the permission list information.

The invention discloses a data center equipment health state evaluation method and system based on an out-of-band technology, and relates to the technical field of equipment health monitoring. The server is used for cross-manufacturer equipment health management and control and adapts to a multi-hardware platform; an independent out-of-band private network is built, an equipment management port is connected, hardware assets, operation states and environment energy consumption data are acquired, and agency is not needed; a component-equipment-cluster three-level index system is adopted, and a dynamic threshold value is set in combination with the equipment duration and the fault history; comparing with historical deviation two-dimensional evaluation, and generating a health score; third-level alarming and fault positioning are carried out, and emergency alarming is responded within one minute; and the data is visually presented, the data is stored by using Redis and MySQL, and report export is supported. The problems that traditional in-band management depends on a service network, evaluation is one-sided and alarm is disordered are solved, an out-band private network guarantees independent and safe management and control, multi-dimensional evaluation accurately reflects equipment health, graded alarm and remote linkage improve operation and maintenance efficiency, cross-manufacturer equipment is adapted, and intelligent operation and maintenance of a data center are assisted.

The present disclosure relates to a method for operation an AMF in a wireless communication system, and the method may include receiving a message based on primary authentication from a terminal, wherein the message includes any one of an SUCI or a 5G-GUTI, transmitting an authentication request message including the SUCI or an SUPI and a serving network name to an AUSF, and receiving an authentication response message from the AUSF. When the terminal is a roaming terminal and AKMA is supported, the authentication response message may include an AKMA anchor key and an A-KID indicating the AKMA anchor key, and the AMF may perform a procedure of registering the AKMA anchor key in an AAnF based on the SUPI, the AKMA anchor key and the A-KID.

A method includes assessing, by a first serving network node, a handover of a user device to a first target network node predicted by a machine learning model using a service quality constraint; in a case where the service quality constraint is not met for the predicted handover to the first target network node: selecting a second target network node for handover; transmitting a request for a reward simulation to the first target network node for simulating a reward of a handover to the first target network node; transmitting a configuration to the user device for carrying out beam-based measurements with respect to the first target network node for the reward simulation, wherein the configuration comprises an indication to transmit information on the measurements to the second target network node; receiving the simulated reward from the first target network node; using the simulated reward in training the machine learning model.

The invention discloses a cascade failure-based double-layer international railway freight network toughness evaluation method, which belongs to the technical field of road traffic network evaluation, and comprises the following steps: constructing topology models of a basic line network and a transportation service network; constructing a network evaluation system and an importance evaluation system of each node in the network; constructing a network vulnerability evaluation model based on cascade failure, wherein the model adopts an improved CML node state model and a cargo redistribution strategy; and in combination with each network and the evaluation model, a cascade failure condition is simulated through a simulation experiment, and the network is evaluated in combination with an evaluation system. The characteristics of international railway freight are considered, a double-layer coupling network of a basic line network and a transportation service network is constructed, a multi-dimensional toughness evaluation index system and a cargo distribution mechanism are set up, and the cascade failure condition in the international railway freight network can be simulated.

The invention discloses a medical equipment remote fault diagnosis, maintenance and guidance system based on a cloud platform. According to the invention, the deep reconstruction of the medical equipment maintenance ecology is realized by constructing the digital service network covering the whole process. The AR cooperation platform of the maintenance engineer end and the real-time data intercommunication of the hospital end break through the space-time limitation of technical support in a traditional maintenance mode, so that remote experts can directly participate in field fault diagnosis and cooperate with historical maintenance archives and fault tree analysis provided by the intelligent work order system, and the first repair rate is greatly improved. An intelligent order sending algorithm of the management background is combined with an order grabbing mechanism of the mobile terminal, so that the geographical distribution efficiency of engineer resources is optimized, precise docking is realized through skill label matching, the industrial pain point of scarcity of special equipment maintenance resources is solved, and the service life of the mobile terminal is prolonged. Modular design and data interconnection characteristics bring systematic improvement to medical equipment operation and maintenance management, and fine control of equipment management cost and continuous improvement of service quality are realized.

Methods, systems, and devices for wireless communications are described. Disclosed techniques relate to monitoring performance parameters in mobility cases for life cycle management (LCM) for artificial intelligence (AI) or machine language functionalities of a user equipment (UE). In UE-based LCM for AI functionalities, a UE may monitor and track performance indicators for AI functionalities of the UE across network entities (e.g., across serving cells). In network-based LCM for AI functionalities, the serving network entity may obtain information regarding UE performance indicators from another network entity. For example, when a UE reports an AI functionality, the network entity may obtain the information regarding UE performance for that AI functionality from the other network entity and may make an LCM decision based on the obtained information.

The invention relates to an active switching method and device of master and slave nodes, equipment and a medium. The method comprises the following steps: in response to a received master node switching request for a remote dictionary service network, sending a blocking instruction to a current master node of the remote dictionary service network, so that the current master node stops executing a data processing instruction of a client within a preset duration required by the blocking instruction; selecting one slave node in the remote dictionary service network as a target slave node, wherein the target slave node is in an available state and data synchronization of the target slave node and the current master node is completed; switching the target slave node to a new master node of the remote dictionary service network within a preset duration, switching the current master node to slave nodes, and constructing a first network mapping between each slave node and the new master node and a second network mapping between the new master node and a master node address of the remote dictionary service network, the active operation of master-slave switching is realized, and the integrity and consistency of data in the master-slave switching process are ensured.

The present disclosure relates to a 5G or 6G communication system for supporting higher data transmission rates. A method of a network entity included in a home network in a wireless communication system, according to one embodiment of the present disclosure, comprises the steps of receiving first steering of roaming (SoR)-related terminal information from a serving network to which a terminal is connected; determining, on the basis of the first SoR-related terminal information, whether to steer the terminal to a hosting network that provides a localized service; and transmitting first SoR information to the terminal through the serving network, if it is determined that the terminal will be steered to the hosting network that provides the localized service, wherein the first SoR information includes an indication that the terminal is to be switched into a localized service access mode.

The invention relates to the technical field of cloud service network security, and provides a multi-agent tool calling method and system based on a MoE expert model, and the method comprises the steps: collecting demand input, and converting the collected demand input into an AI event or task; assigning the AI event or task to an AI agent of an AI tool execution layer, and executing a corresponding test or analysis operation; and verifying the execution result of the AI agent, and performing corresponding feedback according to the verification result. According to the multi-agent tool calling method and system based on the MoE expert model, intelligent task processing can be achieved, and low efficiency and inaccuracy caused by traditional dependence on artificial experience are avoided; efficient resource utilization, resource allocation optimization, execution efficiency improvement, real-time task result feedback, dynamic allocation strategy adjustment, security and stability enhancement, use threshold reduction and adaptability and expandability improvement are realized.

A service network quality analysis control device based on AI comprises a network interface module which supports multi-port access and is used for flow acquisition control, a data acquisition and storage module which carries out data preprocessing and tagging and constructs an efficient storage system, and an AI analysis engine which realizes service identification, QOS demand prediction and network trend analysis. The QOS strategy decision module is used for dynamically generating a control strategy according to an AI result, the strategy execution and feedback module is used for completing strategy issuing and forming closed-loop optimization, and the management and visualization module is used for providing network state display, configuration management and alarm. Through AI intelligent analysis and dynamic strategy control, the network resource utilization rate and the operation reliability are remarkably improved, and the method is suitable for intelligent substations and other scenes with high requirements for communication stability and real-time performance; good application values and popularization prospects are realized.

The invention discloses an LLMOps-based large model efficient operation and maintenance method and system, belongs to the technical field of artificial intelligence, and aims to solve the technical problems of how to realize large model efficient operation and maintenance, ensure that the large model quickly responds to business requirements in the application process and maintain the performance and stability of the large model. Comprising the steps that an LLMOps tool chain is constructed based on a model deployment tool, a model detection tool, a model upgrading tool, a model running tool and a model iteration tool, and the model deployment tool deploys a large model based on containerization and standardization and CI / CD assembly line automation; the model detection tool is integrated with a verification framework and a real-time monitoring system; the model upgrading tool applies a service network technology to implement gray level upgrading and A / B testing; the model running tool realizes elastic expansion and load balancing of the model service based on an automatic capacity expansion and contraction mechanism of the container arrangement platform; and a model dynamic iteration mechanism based on feedback driving is configured in the model iteration tool.

Methods, apparatuses, and computer program products are provided to facilitate relay discovery, selection, and / or reselection for U2N relaying over SL utilizing a service-continuity indication provided via one or more solicitation messages from a remote UE to at least one relay UE. In some embodiments, a serving network may provide identification of the at least one relay UE via a remote configuration for the remote UE. In some embodiments, the serving network may provide identification of the at least one relay UE via a response message transmitted to the remote UE via SL. In some embodiments, the remote UE may prioritize one or more potential relay UE candidates identified by the serving network.

The invention relates to the technical field of marketing, and particularly discloses a service optimization method and system based on combination of online marketing and offline drainage. By acquiring online marketing and offline service multi-dimensional data in real time, constructing a quantitative evaluation system and dynamically optimizing service collaboration, the method comprises the following steps: firstly, acquiring original data from a user behavior log, an activity configuration library and an offline business system, covering core information such as a user identifier, an activity identifier, a service network state and the like; sequentially calculating a marketing load coefficient, a drainage congestion coefficient, an online marketing behavior coefficient and an offline service bearing coefficient, finally carrying out weighted fusion on the online and offline coefficients to generate a comprehensive service coefficient, verifying an over-limit state by adopting a synchronous non-blocking mechanism and a dynamic threshold value, predicting a resource demand increment in combination with a time sequence, generating a coordination strategy set, and carrying out resource scheduling. Accurate adaptation of online drainage and offline service is realized, the experience is improved, and the system risk is reduced.

Various embodiments include a wireless communication network that comprises provisioning circuitry. The provisioning circuitry converts customer facing services to network service attributes that define service provided to a user device on the network. The provisioning circuitry transfers a command to a network element to update existing service attributes stored in the device's subscriber profile using the network service attributes. The provisioning circuitry queries the network element to retrieve implemented service attributes from the subscriber profile. The provisioning circuitry provides the customer facing services, the network service attributes, and the implemented service attributes to a machine learning model trained to detect discrepancies between implemented service attributes and customer facing services. In response to detecting a discrepancy between the customer facing services and the implemented service attributes, the provisioning circuitry transfers an update to the network element to correct the discrepancy between the implemented service attributes and the customer facing services.

A battery replacement truck freight planning method based on a battery cycle sharing strategy relates to the technical field of battery replacement truck application and comprises three steps of setting a service network, determining a space-time moving track of a battery in the service network and generating a required battery path. The step of setting the service network comprises two sub-steps of determining space-time nodes and determining four different types of arcs; generating the required battery path includes determining a service arc, a charging arc, and an idle arc, and model parameters, decision variables, objective functions, and dominating rules of the service arc, the charging arc, and the idle arc. According to the method, the problems of low energy complementing efficiency, high battery vacancy rate, resource scheduling splitting and the like in the current electric freight network can be solved, the use efficiency and the circulation frequency of battery resources are improved to the maximum extent, integrated optimization of battery replacement scheduling and transportation scheduling can be realized, and the method has a great significance in promoting application of a battery replacement mode in an electric truck logistics system. And optimal configuration of energy resources is realized, and technical support is provided for promoting green transportation development.

Methods are described for a wireless device, such as a UE, to execute a Layer-1 (LI) or Layer-2 (L2) based inter-cell mobility serving cell change, based on the fulfillment of an execution condition (e.g., based on measurements), using a conditional reconfiguration. The UE receives, from a serving network node, a message containing at least one conditional reconfiguration for L1 / L2 based inter-cell mobility serving cell change. The at least one conditional reconfiguration includes at least one of an execution condition, an indication of a candidate target cell for L1 / L2 mobility, and a lower layer command. When an execution condition associated to the candidate target cell for L1 / L2 inter-cell mobility is fulfilled, the UE executes the conditional reconfiguration that results in a L1 / L2 based inter-cell mobility serving cell change to the candidate target cell. The UE then starts to operate according to a configuration of the candidate target cell in the L1 / L2 based inter-cell mobility serving cell change.

The invention discloses a multi-modal network architecture, a multi-modal data transmission method, a storage medium and an electronic device, and relates to the technical field of network communication, the architecture comprises a modal deployment management and control system, a multi-modal controller, a multi-modal network element and a cloud platform, the modal deployment management and control system is connected with the multi-modal controller and the multi-modal network element, and the cloud platform is connected with the multi-modal controller and the multi-modal network element. The multi-modal controller and the multi-modal network element are deployed on the cloud platform; the modal deployment management and control system is used for performing centralized control and modal issuing on the cloud platform which is in network intercommunication with the modal deployment management and control system; the multi-modal controller is used for managing a local multi-modal network element in the cloud platform; the multi-modal network element is used for forwarding the multi-modal message on the data level in the multi-modal network architecture, and by adopting the technical scheme, the technical problem that a traditional cloud service network protocol is single and cannot flexibly adapt to diversified network service requirements is solved.

The invention discloses a heterogeneous deterministic network cross-domain periodic mapping method, a heterogeneous deterministic network cross-domain periodic mapping system and a related device, and belongs to the technical field of power system communication, and the method comprises the following steps: for a power service end-to-end deterministic network formed by a plurality of different sub-network domains, monitoring a buffer queue state through an edge gateway node of the heterogeneous deterministic network; performing queue management on the data packets of the service flow through the edge gateway node according to the queue state monitoring result of the buffer area, and obtaining queuing and queue offset distribution results of the data packets in the buffer area; the edge gateway node calculates and distributes a mapping period of the cross-domain network; and in combination with queuing and queue offset allocation results of the data packets in the buffer area, the edge gateway node feeds back and optimizes the time delay determinacy guarantee condition of the service flow, and the allocation of network resources and the routing strategy of the service flow are adjusted. According to the method, dynamic mapping of different network periods in a heterogeneous deterministic network scene can be realized, and scene requirements of dynamic changes of services and networks can be better met.

The invention relates to a tactical communication network service model characterization method based on a graph theory, and belongs to the technical field of communication networks. The method comprises the steps of task network construction, task network-oriented service network topology modeling, task network node modeling, service modeling of communication links between task network nodes, task network service flow modeling and task network topology merging and comprehensive characterization. According to the method, from tactical communication requirements, on the basis of task types and actual task scenes, elements such as network topology, service characteristics and service flow are comprehensively considered, a multi-dimensional tactical communication network service model is constructed, the time-varying property, diversity and complexity of a tactical communication network can be reflected, and the service performance of the tactical communication network is improved. And comprehensive and objective evaluation of the tactical communication network efficiency is facilitated.