9 results about "Service repository" patented technology

Device for controlling the execution of a mashup WoT service, the device comprising: a Web of Things mashup service function entity, WoT mashup service function entity, (52) configured to execute a mashup WoT service adapted for a WoT service user (10); a WoT service execution function entity (54) configured to handle the execution of simple WoT services for the execution of the mashup WoT service of the WoT mashup service function entity; and a WoT service repository (56) configured to store WoT service execution descriptions (56a, 56b, 56n), each describing execution logic for each of the simple WoT services; wherein the WoT mashup service functionality entity comprises: a WoT mashup engine (52b) configured to execute the mashup WoT service in accordance with the service instruction read from the relevant WoT service execution description;wherein each of the WoT service execution descriptions includes information about the mashup WoT service, a service instruction designed to execute the mashup WoT service created by combining the two or more simple WoT services, and service profiles representing parameters designed to identify the mashup WoT service customized for the WoT service user.

The invention discloses a vehicle communication method and device, electronic equipment, a storage medium and a product. The method comprises the following steps: in response to a service event, determining a target service from a service library; determining a communication path of the service event according to a provider and a consumer of the target service and the electronic and electrical architecture; a corresponding packaging message is called from a matrix library based on the communication path, the matrix library is a CAN signal matrix library or an Ethernet matrix library, and the CAN signal matrix library or the Ethernet matrix library is used for packaging a CAN signal corresponding to the target service into a first message or packaging Ethernet data corresponding to the target service into a second message; and transmitting the packaged message according to the communication path. According to the scheme, the service is uniformly defined in the service library, the CAN signal or the Ethernet data corresponding to the service is packaged into the message, when the service is used, the packaged message is directly called to be transmitted according to the communication path, a communication process does not need to be designed for the CAN signal and the Ethernet separately, and the applicability and the expandability of vehicle communication are improved.

The invention discloses an MCP service tool control method and device and a storage medium. The method comprises the following steps: creating a service group containing a group exclusive identifier and generating access verification information corresponding to the service group; matching a target MCP service tool for the service group based on an MCP basic service library, establishing an association relationship between the service group and the target MCP service tool, and binding a target resource permission; based on a preset domain name and the group exclusive identifier, generating an exclusive MCP service tool access channel corresponding to the service group, and determining access channel information of the exclusive MCP service tool access channel; and configuring the access channel information and the access verification information to an artificial intelligence model, and controlling the artificial intelligence model to call a corresponding MCP service tool and obtain a call result returned to the MCP service tool under the condition of passing permission and configuration verification. And the effect of improving the calling security and configuration flexibility of the MCP service tool is achieved.

According to one embodiment, a method is provided for execution by a first communication node in a target network. The method includes maintaining a local cache that identifies services known to be available to communication devices in the target network. The method also includes receiving at least one service identifier from a second communication node during a handover procedure for the communication device from the initial network to the target. According to one embodiment of the present disclosure, for each service identifier, the method includes signaling the service repository in the target network to discover the service only if the service corresponding to the service identifier is not identified in the local cache. In this way, repeated service discovery can be reduced.

This invention provides a code AI review method, system, device, and storage medium with a central repository architecture. The method includes: constructing a centralized code review service repository to provide unified services for multiple business projects; receiving code change trigger signals and loading the review configuration for the corresponding business project; splitting multi-dimensional review tasks into multiple independent execution units and executing them in parallel, with each unit running in an independent context; creating a multi-level versioned storage directory based on code version identifiers and storing review results by dimension; submitting the review results to the central repository to generate an audit trail and pushing the review report to the code hosting platform. This invention, through unified management of the central repository and a multi-agent parallel architecture, achieves efficient access for multiple projects, significantly improved review efficiency, versioned traceability of review results, and a significant reduction in review costs.

The application discloses a kind of generation methods of vehicle software, it includes: step S10, call preset scene library, and select at least one scene template as trigger scene in it;Step S11, call preset interaction library, and select at least one interaction set in it and add to the output of trigger scene;Step S12, call preset service library, and select at least one service set in it, add to the output of trigger scene or interaction set;Step S13, form vehicle software for cockpit intelligent scene.The application also discloses corresponding system and storage medium.Embodiment of the application can quickly, flexibly generate obtain vehicle software product, can greatly reduce development cost and improve product development efficiency.

A system and method for implementing a quantum circuit compilation-as-a-service are disclosed. In some embodiments, the quantum circuit compilation service is configured to compile quantum circuits for multiple third-party customers, and the compilation service supports compiling quantum circuits to run on multiple different quantum processing units utilizing various different quantum computing technologies. In some embodiments, the quantum computing service generates a customized compilation job plan for each quantum circuit to be compiled. The compilation job plan may refer to modularized compilation paths stored in the quantum circuit compilation service repository. The modularized paths may be mixed and adapted as needed to enable the compilation of a wide variety of quantum circuits to run using various different quantum computing technologies.

An enhanced Edge Application Server Discovery Function (eEASDF) for service discovery in cellular networks, addresses the limitations of static and DNS-based discovery mechanisms. The eEASDF dynamically matches user equipment (UE) requests with edge application servers (EAS) based on detailed filters, such as compute resource requirements, quality-of-service objectives, and location scope. Utilizing Protocol Configuration Options (PCO), the eEASDF can facilitate efficient service discovery by integrating metadata and telemetry from a Unified Data Repository (UDR) or Service Repository Function (SRF). This functionality can support user-plane traffic steering through PDU session modifications, uplink classifier updates, and user plane function reselection. The described technology enhances latency performance, reduces rediscovery churn, and optimizes resource allocation for compute-intensive applications in next-generation networks. Primary applications can include augmented reality, real-time analytics, and AI-assisted services.

A system for enterprise metadata convergence, autonomous analytics generation, and quantum-safe data management, comprising: at least one processor; at least one memory communicatively connected to the at least one processor; a metadata ingestion unit configured to communicate with a variety of heterogeneous enterprise data stores, including cloud storage systems, relational databases, non-relational databases, streaming infrastructures, software service repositories, analytics environments, and artificial intelligence data sources, to extract structural metadata, operational metadata, governance metadata, provenance metadata, and semantic relationship metadata;a normalization processor that is communicatively connected to the metadata capture unit and configured to transform heterogeneous metadata representations into a unified semantic representation structure through semantic matching, duplicate elimination, entity matching, and relationship mapping operations; a semantic intelligence processor configured to generate and maintain a semantic graph structure consisting of interconnected semantic entities representing enterprise resources, business concepts, governance policies, origin relationships, identity associations, trust indicators, and operational dependencies;an analytics orchestration processor configured to receive enterprise requests, determine the semantic intent associated with the enterprise requests, generate analytics execution workflows, synthesize executable query structures, coordinate analytical processing operations, and generate explainable analytical outputs; a governance arbitration processor configured to dynamically evaluate enterprise requests against contextual governance parameters, including identity attributes, semantic classifications, jurisdiction constraints, indicators of operational intent, trust metrics, and sensitivity classifications, to selectively authorize, deny, anonymize, aggregate, tokenize, or restrict enterprise data interactions;a cryptographic coordination processor configured to generate, distribute, rotate, revoke, and validate cryptographic keys associated with enterprise resources, governance operations, analytics execution sessions, and audit logs, using cryptographic agility operations that support classical cryptographic techniques and post-quantum cryptography techniques; an AI mediation processor configured to intercept prompts, contextual retrieval operations, inference queries, and generated outputs from generative AI systems and perform semantic validation, policy evaluation, context constraints, and explainability checks before allowing the dissemination of the generated outputs;and a temporal audit processor configured to store immutable operational data records related to governance decisions, lineage transitions, analysis operations, cryptographic events, and interactions with artificial intelligence within a distributed ledger structure using timestamp-linked cryptographic verification operations.