639 results about "Service networks" patented technology

Apparatus and methods are disclosed for implementing a copilot as a network of microservices including specialized large language models (LLMs) or other trained machine learning (ML) tools. This architecture supports flexible, customizable, or dynamically determinable dataflow. Compared to much larger competing LLMs, comparable or superior performance is achieved for certain tasks, while significantly reducing computation time and hardware requirements, even to a single compute node with a single GPU. An expansion microservice converts client input tokens into associated tokens to diversify targeted tasks presented to a core microservice. An ML tool in the expansion microservice is pretrained in multiple stages for varying tasks using varying general and target-specific corpora. Synthesized training data derived from a knowledge graph can also be used. The expansion ML tool is subsequently fine-tuned in one or multiple stages. Variations and additional techniques are disclosed.

A method for screening inter-PLMN messages at a SEPP to implement roaming agreements includes storing an originating and target network mapping database containing records including mappings between originating network identifiers and target network identifiers. The method further includes receiving, at the SEPP, an inter-PLMN SBI request message originating from an NF in a network served by the SEPP. The method further includes determining originating and target network identifiers from the message, locating a matching record in the database, and determining, from the record, whether the message should be allowed to flow from the originating network to the target network. The method further includes forwarding the message to the target network or preventing the forwarding of the message to the target network based on results of the determining.

Apparatus and methods are disclosed for implementing a copilot as a network of microservices including specialized large language models (LLMs) or other trained machine learning (ML) tools. This architecture supports flexible, customizable, or dynamically determinable dataflow. Compared to much larger competing LLMs, comparable or superior performance is achieved, while significantly reducing computation time and hardware requirements, even to a single compute node with a single GPU. Examples incorporate a retrieval microservice, as least one data producer, and a core microservice. Based on client input, the retrieval microservice can perform multiple iterations of retrieval augmented generation (RAG). At each iteration, output (based on any preceding iterations' results or the client input) is transmitted to a data producer, and results received therefrom. Eventually, based on these results, an output is transmitted toward the core microservice for generation of a response to the client input. Variations and additional techniques are disclosed.

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.

Various solutions for improvement of network energy saving with user equipment assistive waking-up are described. An apparatus may receive a system information (SI) from a serving network node of a wireless network. The SI indicates a sequence information. The apparatus may transmit a sequence to wake up an energy-saving network node based on the sequence information. The sequence information includes a mapping information for a measured reference signal (RS) and a measured power level.

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.

Recorded sessions of skilled personnel at work are used to train a first machine learning (ML) tool to extract workflow maps. These maps are used to train a second ML tool to emulate at least one workflow. The first ML tool is trained to predict an annotator's output. Either ML tool can be a copilot having a microservice network architecture. Further, complex sets of workflows can be subdivided for efficient support with small ML tools for (1) workflow map extraction and (2) emulation. Based on segment demarcation accompanying a recording, segments are assigned to specialized ML extraction tools for workflow map extraction. Extracted workflow maps are used to train workflow emulator(s). Similarly, specialized ML emulation tools can emulate respective tasks. A distribution microservice can identify a task to be emulated and can invoke the appropriate specialized ML tool. Similar microservice network architectures support both applications.

A communication method and a communication device, the method comprising: a first network element receiving a registration request message from a second network element for requesting registration of the second network element as a service network element of a terminal device to the first network element, the registration request message comprising a first uniform resource identifier; and under the condition that the first uniform resource identifier is the same as the uniform resource identifier stored in the first network element, the first network element sends a message used for indicating registration failure to the second network element. Based on the method, the malicious network element can be prevented from registering to the first network element by using the uniform resource identifier of the network element actually providing service for the terminal equipment, and the network security can be improved.

The invention relates to the technical field of wireless communication, and particularly discloses a spectrum sensing method and device for a cooperative frequency switching network and a communication system, and the method comprises the steps: generating a service network air interface frequency utilization situation table according to a network-level cooperative frequency control instruction transmitted by a guard network; a frequency spectrum sensing control instruction is generated according to the service network air interface frequency use situation table, the frequency spectrum sensing control instruction is diffused through a guard network, and the service terminal guard module can sense and monitor a service network air interface according to the frequency spectrum sensing control instruction and a to-be-sensed frequency set; and sensing and monitoring a service network air interface according to the to-be-sensed frequency set. The spectrum sensing method of the cooperative frequency switching network provided by the invention can assist in improving the anti-interference capability of the cellular network.

The invention relates to the technical field of architecture optimization, in particular to a communication network architecture optimization method, device and system, and the method comprises the following steps: based on edge access equipment, extracting and classifying data packet length and protocol port parameters, forming sequence clustering features, analyzing protocol and length pairing changes, and summarizing abnormal distribution signals; and combining node response characteristics to evaluate a health state, screening available paths, dynamically adjusting a data flow channel, and outputting a switching opportunity discrimination signal. According to the method, by dynamically collecting network multi-dimensional data and utilizing data flow feature classification, protocol pairing grading and node health association judgment, potential abnormal flow direction and node fluctuation are quickly found, resource redistribution and flow direction adjustment are actively guided, the phenomenon of uneven resource occupation caused by burst flow is effectively reduced, the path switching response period is shortened, and the network switching efficiency is improved. And the forwarding continuity of the high-priority task is improved, and self-adaptive flow control and task guarantee oriented to a multi-service network scene are realized.

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.

Recorded sessions of skilled personnel at work are used to train a first machine learning (ML) tool to extract workflow maps. These maps are used to train a second ML tool to emulate at least one workflow. The first ML tool is trained to predict an annotator's output. Either ML tool can be a copilot having a microservice network architecture. Further, complex sets of workflows can be subdivided for efficient support with small ML tools for (1) workflow map extraction and (2) emulation. Based on segment demarcation accompanying a recording, segments are assigned to specialized ML extraction tools for workflow map extraction. Extracted workflow maps are used to train workflow emulator(s). Similarly, specialized ML emulation tools can emulate respective tasks. A distribution microservice can identify a task to be emulated and can invoke the appropriate specialized ML tool. Similar microservice network architectures support both applications.

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).

A disclosed method of operating an emergency data management system includes: obtaining emergency data related to an emergency call to an emergency communication center (ECC) by a cloud server of the emergency data management system independent from the ECC; obtaining an address for the emergency call via a connectivity device located at the ECC, where the connectivity device is operatively coupled to the cloud server; matching the address to an ECC computer-aided-dispatch (CAD) system incident record address; and sending the emergency data to the ECC CAD system incident record corresponding to the matched CAD system incident record address.

The invention relates to a household equipment intelligent fault early warning and after-sales optimization system based on multi-sensor fusion and wireless transmission, which comprises a sensing layer, a transmission layer, a cloud intelligent layer and an application layer, and is characterized in that the sensing layer comprises a heterogeneous sensor cluster and an edge computing node, and the heterogeneous sensor cluster deploys a multi-dimensional sensor; and mechanical, electrical and environmental parameters are covered. Through a physical model and data-driven double-engine architecture, a flexible sensing technology and a decentralized service network, full-chain intelligent reconstruction from fault early warning to after-sales service is realized, and analyzed data is timely and stably transmitted back to an after-sales service center or a specified monitoring platform. Through deep analysis and processing of the sensor data, a scientific fault prediction model can be established, and the model can be utilized to accurately predict possible faults of the equipment and perform early warning before the faults occur, so that a user can know potential problems of the equipment in advance and take corresponding measures in time.

The invention belongs to the technical field of network communication, and discloses a service network message cross-domain transmission method and system based on SRv6SID function extension. According to the method, a service network identifier is embedded in an Args field of the SRv6SID, the service network identifier comprises a service network type (TYPE) and a service virtual group tag (VGT), and service awareness transmission of a cross-domain network is realized in combination with an intelligent routing decision driven by deep reinforcement learning. Compared with the prior art, the protocol compatibility can be ensured, the transmission delay and the protocol overhead can be remarkably reduced, the transmission flexibility, the high efficiency and the customizability of the service network message among different network domains can be improved, and the method and the device are suitable for scenes such as 5G, industrial internet and the like.

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.

Methods and apparatus customize machine learning (ML) tools including copilots. Document records related to tool objectives or tasks are used to identify corresponding data sources, which are integrated into data producers or data repositories accessible to a retrieval microservice. Data producers and other microservices are individually fine-tuned for the custom application and integrated into the tool. The integrated ML tool can be further refined. Training data combines expert-generated, developer-generated, and / or synthesized items. Some customized tools are trained and deployed to: conduct or monitor interviews; provide feedback; develop workflow maps, segmentation, or other annotation from interview scripts or recorded work sessions; or emulate workflows. Using workflow maps, other ML tools are trained to emulate associated workflows. Complex workflows can be subdivided for efficient support with small ML tools for workflow map extraction and also for emulation. Task microservices within a network of microservices handle respective subdivided work.

This application provides an information transmission method and a communication apparatus. The method includes a terminal device obtaining first information in a first cell, where the first information indicates a first network device, the first information is broadcast information from the first network device, and the first network device is one of at least one network device that manages the first cell. The terminal device determines, based on the first information, whether a serving network device of the terminal device in the first cell changes, and obtains system information from the first network device when the serving network device in the first cell changes. In this way, the terminal device can learn in time that the serving network device in the first cell changes, so that communication reliability of the terminal device can be improved.

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.

A disclosed method includes establishing a secure authenticated network connection between an apparatus located at an emergency communication center (ECC) location and operatively coupled to an ECC functional entity, and an application programming interface (API) endpoint in the cloud; performing an authentication procedure between the apparatus and the application programming interface (API) endpoint in the cloud upon establishment of an internet connection to the apparatus; obtaining data from the functional entity by the apparatus and appending ECC identification information; sending the data as packet data comprising the ECC identification information to the API endpoint; and providing a portal graphical user interface to at least one ECC entity that displays enhanced emergency call data using the packet data.

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.

Embodiments of the present disclosure provide methods and apparatuses for service discovery. The method comprises determining to initiate an authentication of a user equipment (UE); and sending an authentication request message including an encrypted or unencrypted identity of a subscriber of the UE, a serving network name and routing information of a data management node to an authentication server.

The invention discloses a digital RMB private transaction method and device based on fully homomorphic encryption, and relates to the technical field of digital RMB or other related fields, and the method comprises the steps: receiving a digital RMB transaction request initiated by a user; transaction data in the transaction request is encrypted by using a BFV fully homomorphic encryption algorithm to obtain ciphertext transaction data, and a transaction processing flow is determined based on the transaction request, the transaction processing flow relates to N nodes in the block chain service network, and N is a positive integer; in response to the transaction request, using the ciphertext transaction data to flow in N nodes involved in the transaction processing flow until the transaction processing flow is finished, and obtaining a transaction processing result in a ciphertext form; and decrypting the transaction processing result in the ciphertext form by using a BFV fully homomorphic encryption algorithm to obtain a transaction processing result in a plaintext form. According to the invention, the technical problem that the privacy leakage risk exists when the digital RMB processes the encrypted data in the prior art is solved.

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 an industrial software platform industrial cluster supply chain super network model construction and optimization method, and aims to better research an industrial cluster supply chain and enable the industrial cluster supply chain to obtain the minimum economic cost and time cost and the maximum supply chain anti-risk capability. Dividing the whole industrial cluster into a supply chain sub-network, a value self-network and a technical service sub-network to systematically optimize supply chain resource configuration; aiming at the problem that a traditional optimization modeling method is difficult to accurately evaluate the influence of a technical service network on factors such as the production value of a whole industrial cluster supply chain, a deep learning method is adopted to construct an input and output model of a technical service sub-network, and parameters output by the model are predicted to obtain supply chain parameters required by optimization; and in combination with a multi-objective optimization algorithm, the cost of the supply chain is minimized, the production cycle is minimized, the anti-risk capability is maximized, and an optimal supply chain scheduling strategy is sought.

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.

The invention relates to the technical field of public service networks, in particular to an adaptive network evolution public service radius measuring and calculating method, which comprises the following steps that: according to service contents provided by a public service, the public service is divided into a plurality of functional units, and each functional unit comprises at least one service point; constructing a public service network matched with the public service; setting a network evolution mechanism for the public service network to realize self-adaptive evolution of capacity, connection and modular growth of the public service network; setting a dynamic adjustment strategy to realize resource flexible scheduling of the public service and optimization of a service coverage range; obtaining a service coverage area, obtaining a service radius of each service point in the service coverage area based on a multilayer network model, and forming an optimal service radius vector set in combination with the number of demand points covered by each service point and resource consumption under each service radius; and determining the optimal coverage radius and the optimal service radius of each service point.

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.