150 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 relates to the technical field of Internet of Things equipment management, in particular to a multi-equipment heterogeneous protocol operation method and system based on an Internet of Things platform. By constructing an analysis and adaptation framework of a protocol analysis engine, a dynamic object model library and a rule mapping engine, flexible expansion and interoperability of a communication protocol between Internet of Things equipment and a platform are realized, the development efficiency is improved, and the operation and maintenance cost is reduced. Dynamic access of multiple devices and multiple protocols is supported, and the access threshold is lowered. The dynamic physical model library supports versioning management, and adaptive physical models can be dynamically bound according to different equipment models and function requirements. The configuration process of the physical model is simplified, and the problem of protocol adaptation explosion caused by static physical model configuration is eliminated. The rule mapping engine realizes bidirectional data conversion between a heterogeneous protocol and a physical model through a Grouping script, a data interaction link between multi-protocol equipment is opened, and the cooperative work capability between the equipment is improved.

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 invention provides an interactive system and method of an approval application and an instant messaging application, and relates to the field of communication. The system comprises a transit server, an instant messaging server and an approval server. The method is executed by a transit server, and comprises the following steps: receiving approval request information related to an approval request from an approval server; based on the approval request information, determining a second user identifier of the target user in the instant messaging application, and sending the second user identifier to an instant messaging server, so that the instant messaging server creates an approval group chat based on the second user identifier; externally hanging an approval interaction tool in the approval group chat; and for each target user, determining the examination and approval content of the target user and displaying the examination and approval content through the examination and approval interaction tool. According to the invention, by arranging the transit server which is respectively communicated with the instant messaging server and the approval server, data interconnection and intercommunication between the instant messaging application and the approval application are realized, and the approval efficiency is improved.

The invention discloses a rapid configuration method and system based on a control algorithm, and the method comprises the steps: carrying out the automatic analysis of a connection relation between components in an initial control algorithm configuration graph through a connection relation analysis algorithm, and recognizing the data flow direction and control flow direction between the components; performing optimization configuration on key parameters of the control component through a parameter optimization algorithm, and adjusting component parameters to adapt to specific control scenes and performance requirements; analyzing a data interaction format between the components by using a standardized communication protocol, establishing a component communication interface model, and realizing interoperation of the components of different sources; a control algorithm deployment file is generated, the control algorithm passing verification is converted into an executable deployment file, and rapid deployment and loading on different control platforms are supported; and establishing a real-time monitoring mechanism, collecting state data during operation of the control algorithm, performing online evaluation on the performance of the algorithm, and triggering self-adaptive adjustment logic if abnormality is detected.

The invention discloses a service request processing system and method, and the system comprises a gateway, a service module, a general task manager, and an interconnection module: the gateway is used for obtaining a service request, and transmitting the service request to the service module; the service module is used for determining a first format of a first message in the service request, and sending the first message to the interconnection module when determining that the first format does not belong to a preset message format; the interconnection and intercommunication module is used for converting the first format of the first message into a second format to obtain a second message, and sending the second message to the service module; and the general task manager is used for acquiring the second message sent by the service module, performing service processing based on the second message, generating a first service file and feeding back the first service file. And interconnection and intercommunication between service systems are realized.

The present invention provides a vehicle-mounted Ethernet physical simulation demonstration system and method based on a time-sensitive network. The system includes: an Ethernet communication subsystem, a TSN communication subsystem, and a simulation host computer. The TSN protocol configuration module receives instructions from the simulation host computer via Ethernet and dynamically adjusts protocol parameters. The vehicle-mounted Ethernet physical simulation demonstration system constructs a vehicle-mounted Ethernet physical topology through its hardware nodes, combines with the TSN communication subsystem to implement protocol function verification, and uses the simulation host computer to implement communication performance analysis, scheduling mechanism optimization, and real-time testing in multiple scenarios. The present invention detects and verifies the collaborative operation and mutual compatibility of time-sensitive network scheduling algorithms, providing a reliable simulation platform for the interconnection and interoperability of vehicle-mounted network architectures and the access of arbitrary sensors and other devices.

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 cluster algorithm training and evolution system and method defined based on the architecture model include: a data acquisition unit that collects task objectives and task resources; an architecture unit that analyzes task resources based on the task objectives and outputs an architecture model; an algorithm training unit that performs algorithm training based on the architecture model and outputs a cluster decision-making strategy and task allocation scheme; a simulation evaluation unit that simulates and deduces the cluster decision-making strategy, evaluates the effectiveness of the task allocation scheme, and outputs a corresponding evaluation report; and a result output unit that outputs the evaluation report. The present invention first uniformly defines the functions and interfaces of multiple task resources using the architecture model to ensure compatibility, scalability, and interoperability among different task resources. Secondly, the architecture model is combined with the cluster decision-making algorithm to optimize decision-making efficiency and improve traceability and transparency.

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.

The present application proposes a communication method and device. The method includes: the service providing network element obtains the characteristic information of the data analysis network element, the characteristic information includes the model operation platform type and / or model interoperability standard supported by the data analysis network element; the service providing network element receives a request message from the service requesting network element, the request message is used to request the discovery of the target data analysis network element, and the request message includes the model operation platform type and / or model interoperability standard required by the service requesting network element; the service providing network element determines the target data analysis network element based on the above characteristic information and the request message; the service providing network element sends the address information and / or identification information of the target data analysis network element to the service requesting network element. The target data analysis network element may belong to a different manufacturer than the service requesting network element, so that the AI ​​model can be distributed across manufacturers, breaking the limitation that the AI ​​model can only be shared with the same manufacturer, and improving the flexibility of AI model distribution.

An embodiment of the present invention provides a model conversion method, comprising: obtaining a computational graph of a model to be converted, wherein the computational graph comprises an initializer, multiple nodes, and connecting edges between nodes, wherein the initializer comprises model parameters of the model to be converted, each node represents an operation in the model to be converted, and the connecting edges represent data flows between the operation operations; based on the computational graph, converting an instruction set, a multidimensional array access mechanism, a control structure, and a variable storage mechanism for a target hardware space; based on the instruction set, the multidimensional array access mechanism, the control structure, and the variable storage mechanism, generating a target model file of the model to be converted in the target hardware space, wherein the target model file is used to deploy a target model of the model to be converted in the target hardware space. The above method can realize the conversion of different models on different hardware platforms, thereby improving the portability of the model and the interoperability between frameworks.

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.