19 results about "Service repository" patented technology

A brick-and-mortar (BAM) store control system uses sensors and wireless transceivers to track customers, merchant representatives, devices, and / or objects within a BAM store area. The system can identify and track product and / or service inventory within the BAM store area and / or in individual's personal inventories, for instance by detecting movements of objects by individuals in sensor data. The system can generate inventory replenishment schedules, for instance based on inventory quantity patterns. The system can provide recommendations to customers and / or merchants, for example recommending products that customers have interacted with. The system can identify individuals and / or objects using a machine learning algorithm, which can learn based on feedback. The system can generate temporary identifiers for unrecognized individuals or objects, which it can merge or convert into long-term identifiers as more information is received. The system can recognize sensitive information based on secure identifiers generated based on the sensitive information.

The embodiment of the invention provides an overseas oil and gas operation system based on a block chain. The overseas oil and gas operation system comprises a material purchasing platform, an inventory management platform, a production management platform, a personnel management platform and a financial management platform, wherein a purchase data service in the material purchase platform, an inventory data service in the inventory management platform, a production data service in the production management platform, a personnel data service in the personnel management platform and a financial data service in the financial management platform are respectively configured to manage material purchase data in an overseas oil and gas operation project; material inventory data, personnel data, production data and financial data; and the data services communicate based on the block chain network so as to synchronize the business data generated in the oil and gas operation project. Based on the technical scheme provided by the invention, safe and efficient data synchronization among business management platforms in an overseas oil and gas operation project can be realized.

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

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 relates to the technical field of artificial intelligence and big data, in particular to a personalized recommendation method and system for a text travel intelligence engine. The method comprises the following steps of: in an operation configuration stage, automatically generating problems matched with scene description through an AI large model, automatically marking, simultaneously supporting marking for services, establishing a problem scene library, a service library and a label library, configuring attribute rules and recommendation weights for each scene, and realizing automation and intellectualization of an operation process; in the user interaction and recommendation stage, when tourists ask questions, regions, orders and crowd attributes of the tourists are obtained in real time, rule matching with preset scenes is carried out, questions most similar to user questions and tags thereof are extracted from a question library of the matched scenes by utilizing a large model, a service library is inquired accordingly, and services are recommended in a descending order according to tag hit numbers. Meanwhile, recommendation requirements are provided to form a recommendation closed loop. According to the invention, personalized service accurate pushing based on the dynamic scene is realized.

The application discloses a kind of personalized soft service robot initiative service providing method, soft service robot is obtained by analyzing the consistency of user past demand routine demand of user, and demand template is generated in combination with user portrait.Combining the state of user, soft service robot further analyzes the importance of routine demand to user.Finally, in service library, service is matched, and is delivered to user with a certain degree of initiative behavior.Active degree can be divided into four degrees of not initiative, remind, suggest, intervention, and initiative degree gradually improves.Because the application combines user historical demand data and current user state, personalized initiative service can be provided for user.The application provides service for user with multilevel initiative degree in the case where user does not propose request, according to user historical demand, predicts current demand of user, and reaches the effect of helping user to efficiently screen information and quickly complete demand and service matching, in combination with current state of 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.

The invention relates to the technical field of data processing, can be applied to business scenes of financial science and technology, medical treatment and health and the like, and discloses a service scheme generation method and device based on state data, equipment and a medium. And a user state analysis report is generated based on the user state data and a preset state analysis knowledge base, a target service combination is matched and generated from a target service library according to the user state analysis report, the target service combination and the auxiliary service resources are integrated to generate an integrated service scheme, and the integrated service scheme is sent to the terminal equipment. According to the method, the user state analysis report is dynamically analyzed and generated by combining the user state data and the state analysis knowledge base, the target service combination meeting the health condition is further matched and generated, auxiliary service resources are integrated, a complete integrated service scheme is formed, the individuation and adaptability of the service scheme are improved, and the user experience is improved. And the relevance between insurance recommendation and health data is enhanced.

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.

The embodiment of the invention relates to the field of vehicles, in particular to a vehicle controller software flashing method, device and equipment and a storage medium, and the method comprises the steps that when a vehicle controller flashing instruction is received, a vehicle controller is set to be in an extended session mode, and an initial flashing file is called, the initial flashing file comprises a service library in a UDS flashing process; a target demand instruction is received, the initial flash file is processed according to the target demand instruction, a target flash file is obtained, and the target demand instruction is an instruction input by a user and used for selecting and / or programming a service library; target software flashing is carried out on the vehicle controller according to the target flashing file, and the target software comprises software corresponding to the target flashing file. The technical problem of poor flashing flexibility of the vehicle controller in the prior art is solved, and the technical effect of individually flashing the software functions in the vehicle controller according to user requirements is achieved.

The invention discloses a service scheduling method and device based on terminal adaptive resources and a medium, and the method comprises the steps: collecting device data, and determining a device resource condition according to the device data; determining a service list through a preset service library, and determining a service module corresponding to the equipment resource condition according to the service list; and calling equipment resources corresponding to the service module to execute corresponding service scheduling operation. According to the application, equipment data can be acquired in real time to accurately grasp the resource condition, the corresponding service module is quickly matched by relying on the service library and the service list, and then the resources are reasonably called to execute scheduling, so that the dynamic adaptation of the services and the resources is realized, and the resource utilization rate and the service stability are improved.

A Logically Composed System (LCS) workload in-band service management system includes a service management subsystem coupled to a workload that is provided using a Logically Composed System (LCS), and a System Control Processor (SCP) device. The service management subsystem determines a plurality of services that are either provided by or available via the SCP device for use by the LCS, and presents a service library to the workload that identifies the plurality of services. If the service management subsystem receives a first service request from the workload for a first service that is included in the plurality of service identified in the service library, it provides a first service provisioning request to the SCP device that is configured to cause the SCP device to provide the first service to the LCS for utilization by the workload.

A computer-implemented method of managing online bookings for transportation services inventory is provided. The computer-implemented method establishes a channel interface that provides bidirectional communication between at least one server computing device and a vendor computing device. Furthermore, the computer-implemented method stores, via a channel data structure, a channel record for each of a plurality of distribution channels. Additionally, the computer-implemented method receives, from the vendor computing device through the channel interface, a selection, from the plurality of distribution channels, of one or more participant channels for a transportation service. The computer-implemented method also establishes, via the channel data structure, one or more active channel records based upon the one or more participant channels for the transportation service. Furthermore, the computer-implemented method establishes, via the channel data structure, one or more inactive channel records based upon one or more non-participant channels for the transportation service.

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.