136 results about "Interoperability" patented technology

A system for improving employee engagement and automating the integration of business processes. The system includes: a user interaction module configured to receive multimodal inputs, including natural language text and voice requests from employees via enterprise portals, mobile applications, voice-activated devices, and collaboration platforms, and to generate real-time responses via conversational output channels; a context processor that is operationally coupled with the user interaction module, wherein the context processor stores the interaction history, employee preferences, organizational role metadata, and task results in both short-term and long-term memory and dynamically derives context for controlling responses and initiating workflows; A natural language and intent processor that is communicatively linked to the context processor. The intent engine consists of large language models trained on company-specific lexicons to perform intent detection, entity extraction, ambiguity resolution, and sentiment or urgency classification from employee queries; a workflow orchestration layer in communication with the intent engine and the context processor, wherein the workflow orchestration layer includes a rule-based and AI-powered process execution engine configured to automatically initiate, route, and complete cross-functional business tasks, including approvals, escalations, and compliance checks, with workflows defined using modular templates that include conditional logic and time-based triggers; Webhooks and authentication protocols provide secure interoperability between the workflow orchestration layer and external enterprise platforms; a feedback and learning module that is operationally coupled with the workflow orchestration layer and the natural language understanding engine, wherein the feedback and learning module is configured to analyze task completion rates, response accuracy, latency metrics, and user feedback signals, and to retrain underlying language and workflow models for adaptive improvement in real time; and an administration console with role-based access controls, compliance dashboards, audit trails and interfaces for workflow configuration, whereby the administration console enables authorized personnel to monitor system operations, adjust interaction rules and enforce data protection restrictions across departments.

The invention relates to a packaging method for modeling and production unit combination of digital twin virtual equipment, which realizes modeling of the virtual equipment through an abstract process from top to bottom, and ensures high cohesion packaging of key attributes, states and behaviors of the virtual equipment in combination with an information hiding and uniform interface mechanism. A production unit-level combination and hierarchical packaging framework is further constructed based on the equipment model, and recursive combination and interoperation of multiple layers of modules are realized through unified station-level, production line-level and workshop-level interfaces and scheduling logic; according to the method, the modeling and packaging process of the digital twin virtual equipment is defined, the high cohesion packaging and interface uniformity of the model are highlighted, and cross-level combination and scheduling logic design are supported, so that the consistency and the implementability of the model in the system integration, evolution extension and module multiplexing processes are remarkably improved, and the modeling efficiency of the digital twin virtual equipment is improved. And universal and normalized technical support is provided for hierarchical construction and efficient deployment of virtual equipment in an intelligent manufacturing system.

An apparatus may include a receiver configured to receive a reference signal using a channel, a transmitter configured to transmit a representation relating to the channel, and a processing circuit configured to determine channel information based on the reference signal, generate, using a model, the representation based on the channel information, and transfer, using the receiver or the transmitter, model information to specify the model. The model information may include an identifier for the model. The model information may include structure information for the model. The model information may include information about a type of input for the model. The model information may include information about a format of input for the model. The model information may include mapping information for mapping channel information to an input of the model. The mapping information may include information for a first subband, and information for a second subband.

The invention discloses an electric power large model agent operation evaluation method and system. The method comprises the following steps of performing mathematical modeling on pile body behaviors of an electric power large model agent; based on the obtained mathematical modeling, carrying out constraint verification on the behaviors of the large model agent; according to mathematical modeling and verification constraints, constructing an electric power large model agent operation and evaluation system; based on an electric power large model intelligent agent operation and evaluation system, parallel interaction with the intelligent agent is carried out, and evaluation of electric power large model intelligent agent operation is completed. According to the method, through unified architecture design and test benchmark, the development and deployment threshold is reduced, an interoperability basis is provided for intelligent agent cooperation in an electric power scene, and the intelligent degree of operation management application of an electric power enterprise is improved.

Methods and articles of manufacture for hosting a safety critical application on an uncontrolled data processing device are provided. Various checks and combinations of checks including installation, functional, host integrity, coexistence, interoperability, power management, and environment checks are performed at various times to determine if the safety critical application operates properly on the device. The operation of the SCA on the UDPD may be controlled accordingly.

The invention discloses a method and device for comprehensively optimizing test resources, electronic equipment and a storage medium, and belongs to the technical field of software test.The method comprises the steps that a test case set is classified through a high-dimensional data clustering algorithm, and a plurality of test case classes are obtained; selecting representative test cases from each test case class based on an improved greedy algorithm to form a target test case subset; performing priority ranking on the target test case subset by adopting a firefly group optimization algorithm to obtain a ranking result; and optimizing distribution and scheduling of test resources according to the sorting result so as to preferentially execute high-priority test cases and realize resource load balancing. By combining high-dimensional data clustering, an improved greedy algorithm and a firefly group optimization algorithm, the problem of large-scale test case management in the interconnection and interworking test of heterogeneous AC and AP equipment is solved, comprehensive optimization management of test resources is realized, and the test efficiency and the system quality are remarkably improved.

The invention relates to the technical field of automobile lightweight design and intelligent databases, and provides an automobile lightweight intelligent decision database system and method based on artificial intelligence. The invention aims to solve the technical problems of low design efficiency, low performance prediction and parameter optimization precision and difficulty in balancing multi-target requirements caused by data heterogeneous dispersion, difficulty in intercommunication and information splitting in the existing automobile lightweight design. According to the scheme, an intelligent decision database system is constructed through five core modules: a multi-source heterogeneous data acquisition module realizes data standardization processing and secure storage; the lightweight knowledge graph construction module establishes an association system and dynamically updates a standard; the intelligent algorithm module integrates a deep residual network, Bayesian optimization and a Transform architecture, and completes performance prediction, parameter optimization and scheme generation; the multi-objective optimization decision module screens an optimal scheme through multi-dimensional evaluation and constraint processing; the visual interaction module provides a visual interaction function and supports multi-mode deployment.

A whole-process data operation and value co-creation system based on a trusted data space comprises a data acquisition and transmission module, a data aggregation and fusion module, a standard management and interoperation module, a data circulation and sharing module, a security and trusted management and control module and a system operation and monitoring module. The data acquisition and transmission module is used for data acquisition and efficient transmission, the data aggregation and fusion module is used for data integration and analysis, the standard management and interoperation module is used for standard establishment, the data circulation and sharing module is used for managing data cross-domain circulation, and the security and credibility management and control module is used for security monitoring and credibility management. And the system operation and monitoring module is used for monitoring the operation state of the system and user interaction. According to the whole-process data operation and value co-creation system based on the trusted data space, a data circulation management algorithm based on the block chain technology is proposed to manage cross-domain data circulation; and proposing a federated learning-based data privacy protection algorithm to carry out privacy protection on system data.

A system for privacy preserving artificial intelligence (AI) comprising: a first and second device interoperability system (DIS) coupled to an artificial intelligence analysis subsystem (AIAS). The first and second DIS receive a first and second plurality of data sets from coupled first and second pluralities of user devices respectively. The first and second DIS create first and second aggregated data sets based on the received first and second pluralities of data sets. The first and second DIS determine first and second subsets of model parameters for an AI model based on the first and second aggregated data sets; then transmit first and second sets of information based on the model parameter subsets to the AIAS. The AIAS creates a set of model parameters for the AI model based on the transmitted sets of information, and transmits the set of model parameters to the first and second DIS for deployment.

In some embodiments, a system for efficient coordination of unmanned aerial vehicle (UAV) operations by a first UAV service supplier (USS) in a geographic area within which the first USS and one or more third-party USSes operate UAVs is provided. The system comprises an interoperability computing system configured to perform actions comprising: receiving, by the interoperability computing system, a new operational intent from a rule engine of the first USS; retrieving, by the interoperability computing system, a set of relevant operational intents that are relevant to the new operational intent from a geographic information data store of the first USS; comparing, by the interoperability computing system, the new operational intent to each relevant operational intent of the set of relevant operational intents to detect conflicts; and in response to detecting no conflicts, transmitting, by the interoperability computing system, an approval request to a discovery and synchronization service (DSS).

This application discloses an access permission verification method, apparatus, and medium, relating to the field of distributed storage technology. It is used for data access verification and addresses the complexity and error-prone nature of current access permission verification in multi-protocol interoperability scenarios. This method provides an access permission verification approach that, through a pre-established mapping relationship between first and second user information, enables the mutual conversion between object and file user information. Therefore, when an access request contains either type of user information, the mapping relationship can determine the other type of user information, allowing for single-type verification of the requested data. This simplifies the access management process, improves efficiency, and helps reduce the possibility of errors during verification. Furthermore, the method retains the original object and file verification methods to the greatest extent possible, significantly reducing development and deployment difficulty and facilitating practical implementation.

The invention discloses a vehicle-mounted Ethernet PHY (Physical Layer) chip interconnection and intercommunication test system. The architecture of the system comprises an FPGA (Field Programmable Gate Array) platform, upper computer software, a chip to be tested, an AWGN transmitter and a signal adapter plate. Wherein the FPGA platform has dual functions of a link partner (LP) and a test case library: when the FPGA platform is used as the link partner, a 100 / 1000 BASE-T1 physical layer protocol is realized through programming, and single twisted pair communication is established with a DUT through an MDI interface; and when serving as a test case library, the test case library comprises preset interconnection and intercommunication test cases and supports user-defined test cases. The upper computer software adopts a graphical human-computer interaction interface, supports test case parameter configuration, realizes full-process automation of test signal generation and test result judgment, and generates a standard test report. Meanwhile, the system is integrated with the AWGN transmitter and the signal adapter plate, Gaussian white noise can be added into a transmission link, and the real environment of the vehicle is simulated. According to the system, hardware programmability and software automation are combined, so that the testing efficiency and flexibility of the vehicle-mounted Ethernet PHY chip are remarkably improved.

The application provides a process engine-based autonomous operation method and system for an interoperability verification task, a virtual-real combined simulation environment is constructed by including field equipment operation data, laboratory scaled component state information and a software simulation model, an actual operation scene of a road electromechanical equipment interoperability mechanism is simulated, an interoperability verification task is generated according to a preset verification requirement parameter set, a process engine is called to analyze the task and plan an execution process, the task is executed in the virtual-real combined simulation environment according to the execution process, message transmission data, state response data and time synchronization data in the equipment interaction process are collected in real time, interoperability verification results including interaction message integrity description, state response consistency record and time synchronization accuracy description are generated based on the message transmission data, the state response data and the time synchronization data, so that the verification task can be autonomously planned, and a comprehensive and real test environment is provided.

The application relates to the technical field of artificial intelligence task representation and compilation, and provides a task intention intermediate representation system. The application adopts a differential update structure, only updates a changed part, does not need to regenerate an entire intention graph, greatly improves intention update efficiency, and reduces update cost. A traceability field of an intention graph node records a channel source, solves the problem that a task node cannot trace input modes in the prior art, and facilitates task modification and maintenance. The application realizes platform-independent unified expression of a task intention, breaks the barrier of private formats of various AI arrangement platforms through predetermined node type, edge type rules and formal data structure specifications, makes the task intention representation free from specific platform limitations, can be used as a standard bridging layer between multi-modal intention expression and heterogeneous execution, supports cross-platform reuse and compilation output, and greatly improves the interoperability of the task intention.

Embodiments include methods of a consumer network function (NFc) of a communication network. The method includes sending a first request for a first access token associated with a machine learning (ML) model to a first NF of a communication network. The first request includes at least one of an analysis identifier (ID) and an interoperability ID associated with the ML model. The method includes receiving a first response including a first access token from the first NF and sending a second request for the ML model to a producer NF (NFp) of the communication network. The second request includes the first access token and at least one of the analysis ID and the interoperability ID. The method includes receiving, from the NFp, a second response including one or more of: an ML model; an identifier of the ML model; and an address of a storage resource associated with a second NF of the communication network from which the ML model can be obtained.

The invention discloses a human body digital twin model framework, which relates to the technical field of artificial intelligence, and is characterized in that a human body digital twin model is divided into four layers from top to bottom, namely a field meta-model, an object meta-model, a fusion meta-model and an interoperability meta-model; the upper layer model guides, standardizes and restrains the construction of the lower layer model, and realizes the layer-by-layer realization of the human body digital twinning model from the concept level to the logic level to the technical level. The framework establishes standardized top description for complex human body digital twinborn modeling, standardizes the architecture, path and method of digital twinborn modeling of various human body organs and tissues, avoids repeated, disordered and low-efficiency modeling processes, constructs a human body digital twinborn model with good standardization, reusability, interoperability and expansibility, and improves the human body digital twinborn modeling efficiency. And finally, the consistency, coordination and comparability of the digital twin generated based on the model are ensured.

The application provides a method and system for converting heterogeneous model files based on UML specification, comprising: parsing a current engineering file; analyzing the current engineering file; judging whether the current engineering file has a referenced engineering which has not been converted; judging whether the current engineering has been converted, if not, converting to the next step; if yes, judging whether it is a main engineering, if yes, ending the file conversion; if not, setting a previous converted engineering of the current engineering as the current engineering, converting to step three; performing model checking on the current engineering file; creating an empty target engineering file; extracting data from the current engineering file to create a target engineering file resource object and model data; verifying and optimizing the target engineering and model; recording a conversion log and converting to step four. The technical scheme of the application solves the technical problem that the interoperability and standardized transmission of data and models between different modeling tools are poor in the prior art, which affects the efficiency and quality of the whole design process.

The present application discloses a storage and retrieval method, and a related product. The method comprises: a first functional module in a memory module receiving a first request from a first network element, and sending a second request to a target second functional module; the target second functional module retrieving and acquiring at least one first vector according to the second request, and sending an identifier of the at least one first vector to the first functional module; the first functional module receiving the identifier of the at least one first vector from the target second functional module, and sending a third request to a third functional module, the third request being used for requesting to acquire at least one piece of first raw data corresponding to the at least one first vector; and the third functional module receiving the third request from the first functional module, and providing the at least one piece of first raw data to the first network element according to the third request. The method provides an interface for performing standardized interoperability and interconnection with large models, preventing compatibility issues between memory modules of different structures and the connection interfaces of large models.

Disclosed are computer-implemented systems, methods, and non-transitory computer-readable media for a sovereignty architecture that integrates self-sovereign identity, behavior-verified value issuance, and numberless secure communications. A ReadName-linked identity state is associated with one or more domain-namespace records and a ReadVault event ledger. Behavior records from authorized sources are bound to cryptographic time-proofs having validity windows and replay-prevention state. Upon successful verification, a minting engine performs an atomic transition that issues time-denominated value units, binds each issuance to the identity state, and generates a mint certificate and a state-transition receipt. A routing layer resolves domain basepoints to signed endpoint records for policy retrieval, audit, minting, clearing, and settlement. A communication layer derives encrypted numberless endpoints and establishes policy-controlled communications through sovereign endpoint nodes, enabling auditable, privacy-preserving, and interoperable operation across sectors and jurisdictions.

A method implemented by a wireless transmit / receive unit (WTRU) may include receiving configuration information including an indication of topology methods used to evaluate topology of a dataset, a metric associated with topology methods, and an identification associated with each topology method. A topology method may be selected from the topology methods indicated by the configuration information. Topological features of the dataset in the input data space and the latent data space may be determined using the selected topology method. Input space topological features may be compared to latent space topological features to determine whether a WTRU-side model satisfies the metric associated with the selected topology method, including training the WTRU-side model such that topological features in the input and latent spaces satisfy the metric. An interoperability report may be sent, including the identification associated with the selected topology method and an indication of whether the WTRU-side model satisfies the metric.

A computer system operates an off-chain electronic game that includes in-game assets stored off of a blockchain. The off-chain electronic game is configured to incorporate on-chain cryptographic assets related to in-game leveling or progression. In some examples, the on-chain cryptographic assets are non-fungible tokens (NFTs), and the on-chain cryptographic assets define in-game attribute data and can include generic digital and visual art. The computer system obtains permission from an interoperability API of a gaming environment / platform to apply a given on-chain cryptographic asset to an in-game asset to modify attribute data of the in-game asset. The computer system applies the given on-chain cryptographic asset and provides an in-game visual indication of the application and modification of attribute data. The in-game visual indication includes a combination of game-specific digital art and the generic digital art of the given on-chain cryptographic asset.

The invention provides an information processing method and device, electronic equipment and a computer readable storage medium, and the method comprises the steps: calling an interconnection and interworking unified software development kit SDK interface, transmitting a first signal based on the interconnection and interworking unified SDK interface, and enabling a second application end to find a first application end through the first signal; establishing a first connection with the second application end based on the first signal, the first connection being established based on a first protocol; and performing first data transmission with the second application end based on the first connection. According to the method and the device, the first application end and the second application end can quickly establish connection and perform data transmission based on the interconnection and intercommunication unified SDK interface, so that interconnection and intercommunication between the application ends are realized.

The present technology relates to methods and systems for streamlining the process of diagnostic imaging; in particular, that introduce parallel, rather than sequential, reading, accomplished by generative artificial intelligence (A.I) including large language models (LLMs). The methods and systems herein can also include additional features, such as a dynamic user interface, facilitation of real-time editing, text formatting, gamification elements or features, and an interoperability module that is configured to adopt a variety of healthcare standards. The technology constitutes a significant overhaul on traditional radiology and healthcare workflow processes.

The embodiment of the present application provides a kind of network interoperability evaluation method, device and electronic equipment, the method comprises: according to the first data of interoperability, the interoperability type of the interoperability is determined, and the first data is associated with the first model corresponding to the interoperability type, obtain second data;Second data is associated with the third data of the interoperability and is integrated into fourth data;By preset time sequence modeling method, according to the fourth data, the index time sequence atlas of the interoperability is obtained;According to the index time sequence atlas, by preset evaluation standard, the evaluation result of the interoperability is obtained.By the embodiment of the present application, the interoperability is more simply and reasonably evaluated, and data support is provided for network planning and optimization, so that the quality of cell network and residence ratio can be effectively improved by adjusting the strategy of interoperability.

This invention discloses a blockchain-based system for certifying educational and training personnel qualifications and storing test scores. The core of the system is a consortium blockchain network containing educational supervision nodes, employing an improved and practical Byzantine fault-tolerant consensus algorithm and sharding technology to enhance efficiency. The teacher qualification certification module stores qualification data via IPFS and provides on-chain verification, combined with manual verification to ensure data authenticity. The student score storage module collects answer behavior data in real time, and after anomaly filtering and manual review, generates verifiable digital credentials. Merkel tree roots are anchored to the Bitcoin network to strengthen credibility. Supporting modules include dynamic trusted score calculation, multi-layered anti-cheating verification, and Polkadot cross-chain interoperability, enabling trusted scoring, cheating detection, and cross-domain credit recognition. It can also be extended to include metaverse teaching verification functions. This system, through technological and human collaboration, solves problems such as falsified educational and training qualifications, unreliable scores, and difficulties in cross-domain recognition, enhancing the effectiveness of educational supervision and adapting to diverse teaching scenarios.

The application relates to a kind of blockchain-based digital modeling collaboration management method and system, belong to collaboration management technical field, including steps: through the interoperability framework of digital modeling collaboration based on consortium chain is built;Participant BPMS is authenticated through CA identity certificate identity;Task node publishes the cooperation task request and corresponding incentive of new block, Hyperledger blockchain carries out information interaction by calling the smart contract deployed on the consortium chain, realizes modeling collaboration design;Through the execution of all cooperation task requests, complete the digital modeling of target task, determine the model obtained by final consensus as the result of modeling collaboration and publish it.The application realizes the sharing and collaborative development of digital model by establishing the interoperability framework based on blockchain, realizes modeling verification and participant reputation evaluation through consensus mechanism and reputation evaluation, and improves collaboration efficiency.

A method implemented by a wireless transmit / receive unit (WTRU) may include receiving configuration information including an indication of topology methods used to evaluate topology of a dataset, a metric associated with topology methods, and an identification associated with each topology method. A topology method may be selected from the topology methods indicated by the configuration information. Topological features of the dataset in the input data space and the latent data space may be determined using the selected topology method. Input space topological features may be compared to latent space topological features to determine whether a WTRU-side model satisfies the metric associated with the selected topology method, including training the WTRU-side model such that topological features in the input and latent spaces satisfy the metric. An interoperability report may be sent, including the identification associated with the selected topology method and an indication of whether the WTRU-side model satisfies the metric.

This invention discloses a multi-device behavior interoperability verification system and method based on an Internet of Things (IoT) platform, relating to the field of IoT technology. The system includes: real-time collection of operational status data and interaction behavior data of each device according to the device interoperability requirements of the IoT platform; establishment of a device behavior prediction model and construction of device state transition equations; verification of interoperability consistency indicators of multi-device behavior based on device operational status data and interaction behavior data, and calculation of device behavior deviation coefficients; generation of device interoperability anomaly alarms and location of abnormal interaction nodes when the behavior deviation coefficients exceed a preset threshold; and establishment of a three-dimensional dynamic model of the IoT devices using digital twin technology to display the multi-device behavior interoperability verification results and anomaly warning information in real time. The advantage of this invention is that by constructing a dynamic matching mechanism between device state transition equations and an operational status feature library, it effectively solves the problem of state transition consistency verification in multi-device behavior collaboration.

A method, an apparatus, and a system for configuring, designing, and / or implementing integrated data modeling methods for configuring direct dataset interoperability between multiple data systems based upon compliance with data integration standards. Data model federation and consolidation methods are detailed, along with peer entity relationships that link multiple data models. When the data models are data system instantiated, the resulting databases are also directly interoperable.

The invention discloses a detection method and device for interoperability of charging and discharging equipment and electronic equipment. The method relates to the technical field of new energy and energy conservation, and comprises the steps that a charging and discharging device is controlled to be connected with a test system, and the test system comprises a power grid system and a vehicle system; the charging and discharging equipment is operated, performance detection is carried out on the charging and discharging equipment according to the performance detection processes of the M detection items, M detection results are obtained, and M is a positive integer; and determining an interoperability detection result of the charging and discharging equipment according to the M detection results. Through application of the method and the device, the problem that the timeliness of processing the charging and discharging equipment is relatively low under the condition that the charging and discharging equipment has an intercommunity fault in the related technology is solved.