591 results about "Windows Registry" patented technology

The invention relates to the technical field of financial data processing, in particular to a multi-source heterogeneous fund data processing method and system, and the method comprises the steps: recording source information through building a data source registry, and marking a unique identifier for data; performing differential analysis on the fund data in different formats to generate standardized column type storage data; traversing column type storage data to extract statistical characteristics, performing field classification through metadata analysis and financial dictionary matching, analyzing business connotations of fields difficult to classify in combination with a localized large language model, and mapping the business connotations to a header fusion knowledge graph; generating a mapping rule from the source field to the enterprise-level data model by applying a rule engine template on the basis of field classification and semantic recognition results; converting the data structure according to the mapping rule and executing standardization processing; the quality is further optimized through data cleaning; and finally, the data are verified, standardized fund data supporting data traceability are output, and the strict requirements of financial supervision application are met.

The invention provides a cross-platform dynamic security baseline and vulnerability closed-loop repair method and system based on federated learning, and the method comprises the steps: constructing a heterogeneous policy mapping rule base of a Windows registry, Linux sysctl and iOS plist by configuring a semantic analysis algorithm, and forming a multi-operating system policy consistency guarantee mechanism by combining a configuration conflict detection model of formalized verification; a dynamic reinforcement decision engine is designed based on a vulnerability influence surface analysis model driven by a knowledge graph and a double-circulation reinforcement learning architecture (outer-layer strategy exploration and inner-layer parameter optimization); a special evaluation system is constructed for key fields such as electric power and finance, a domestic cryptographic algorithm is deeply fused, and an electric power monitoring system PCSR / IIR / SCAR multi-dimensional index and SM2 / SM4 / SM9 full-stack security scheme is developed. According to the intelligent security baseline reinforcement method, the problems of wide cross-platform strategy gap, extensive vulnerability repair decision and insufficient industry adaptability of a traditional scheme are solved, and the intelligent security baseline reinforcement method supporting dynamic confrontation, accurate adaptation and service fusion is provided.

The invention discloses a semantic fingerprint adaptive training method for a teaching service robot, and relates to the technical field of education neural network real-time training. Comprising six steps of course version semantic fingerprint injection, real-time drift detection and bucket division positioning, small sample correction and high-level weight patching, hierarchical control incremental learning scheduling, shadow reasoning consistency optimization and learning asset registration and cycle verification and tracking. Measuring drifting in real time by using an information entropy self-adaptive window and multi-scale divergence, generating a lightweight weight patch by small sample contrast learning, and performing online loading; shadow channel parallel reasoning is combined with a grading heat exchange superior weight, four-dimensional learning asset tensor is written into a registry through double-clock witness and chain commitment, random sampling verification and singular value performance verification ensure that assets are consistent with robot online examples, and the comprehensive effects of source traceability, risk self-sensing, model self-repairing and compliance full-chain trace reserving are achieved.

The invention relates to the technical field of protocol services, in particular to an event-driven artificial intelligence context protocol service registration and discovery method. The method comprises the following steps: firstly, receiving a service instance registration request, constructing a service registry, and recording a service address and capability description; obtaining the health state of the instance through heartbeat detection; monitoring the state change and converting the state change into a standard event; the SSE technology is adopted to establish long connection and push the filtered events in real time; client connection is maintained, and automatic reconnection and session recovery during abnormity are realized; service capability is analyzed based on semantic comprehension, and accurate matching of requirements is realized; millisecond-level state perception is realized, polling overhead is avoided, service continuity is ensured through intelligent matching and session recovery, and the method is suitable for high-real-time intelligent agent application scenarios.

The invention discloses an event early warning efficient management method and system based on park management, and relates to the technical field of safety management, and the method comprises the steps: constructing a hexagonal cellular unit layout, generating an equipment registry and a network topology structure, and forming a structured data set through data alignment and sliding window verification; the edge server loads an initial weight, calculates a dynamic weight matrix based on the LSTM network, and generates a high-order feature vector set in combination with the graph neural network; inputting the high-order feature vector set into a space-time prediction model to generate an environment evolution trend prediction value, fusing network topology and BIM model parameters to calculate a dynamic risk index, and triggering graded early warning; the command center analyzes the early warning signal to generate a fusion visual interface, historical cases are matched through federal learning, a resource allocation scheme is optimized, and an optimal disposal strategy is output through Monte Carlo simulation. By dynamically adjusting the weight of the sensor, the weight of the infrared sensor in the high-temperature-sensitive area is increased, and the abnormality capturing efficiency is improved.

A decentralized artificial intelligence platform is disclosed that enables secure sharing and execution of AI modules in sensitive application domains. The platform comprises a knowledge module registry for discovering specialized AI modules, a security framework enforcing structural integrity of AI modules, a zero-knowledge proof validation service for verifying usage conditions without exposing private data, and a blockchain-based value chain for managing smart contracts and payments. In operation, an AI agent can fetch a required AI module from the knowledge module registry, prove the right to use it, execute the AI module on local data, and automatically pay the AI module's provider through a blockchain transaction.

In one embodiment, a method includes detecting a change in context of a computing system to a current context, changing a first registration status of a first set of actions with an assistant system associated with the computing system based on the change in context to the current context, where the first application is in a foreground of a user interface of the computing system, changing a second registration status of a second set of actions with the assistant system based on the change in context to the current context, where the second application is in a background of the user interface of the computing system, updating a list of registered actions for the assistant system based on the changed first and second registration statuses, and storing the updated list of registered actions on the computing system.

An illustrative data platform is disclosed that may monitor a compute asset within a compute environment. This monitoring may include receiving registry data collected, by an agent deployed to the compute asset, from a registry space of the compute asset. Based on the registry data collected by the agent, the data platform may determine that a change within the registry space of the compute asset is associated with a security threat to the compute asset. Accordingly, based on the determining that the change within the registry space is associated with the security threat, the data platform may perform an action configured to facilitate remediation of the security threat. Corresponding methods, systems, and products are also disclosed.

A computerized platform enables secure, policy-compliant creation, governance, and monetization of digital artifacts produced by Al-driven “persona” agents in regulated domains (e.g., healthcare, finance). For each agent session, a federated compliance-token generator issues a cryptographically signed token embedding the full delegation chain, credential lineage, real-time policy snapshot, monetization rules, expiration and revocation data. As artifacts or workflows cross organizational or jurisdictional boundaries, a token inheritance module can subdivide, transfer, renew, or revoke the token while appending each event to an immutable, cryptographically linked audit trail. Every agent output is encapsulated as a digitally signed artifact that is indelibly linked to its originating compliance token and enriched with provenance, consent, and service metadata. A permissioned blockchain (or sharded distributed ledger) functions as an asset registry that immutably stores artifacts, tokens, and chronological records of creation, access, transfer, consent change, and policy updates. A smart-contract engine automates revenue allocation and settlement, ensuring continuous traceability, privacy protection, and financial compliance across institutional boundaries.

The invention discloses an MCP-based multi-agent collaboration method and device and a medium, and relates to the technical field of artificial intelligence, the method comprises the following steps: obtaining a model registry form through a standardized model registration interface, analyzing model metadata in the registry form, and extracting a core field of a current registration model; creating a model node in the model map, and initializing the model node based on the core field; receiving a task request, triggering a scheduling engine, determining a plurality of candidate model nodes in the model atlas according to task content, respectively calculating task execution scores of the candidate model nodes, and generating a model execution chain based on the task execution scores; and based on the model execution chain, scheduling a candidate model corresponding to the candidate model node, and executing the corresponding task content. Dynamic access of multiple types of models is supported through a standardized model registration interface, system expansibility and integration efficiency are improved, and matching precision of tasks and models and multi-model cooperation continuity are enhanced.

Methods, systems, and devices for data management are described. A data management system (DMS) may obtain metadata associated with a snapshot stored by the DMS and including information associated with data paths in the snapshot. The DMS may scan an index registry for identifiers of the data paths to determine whether the index registry includes namespace and hierarchical index information that map the data paths to path identifiers and to descendent data paths within the snapshot, respectively. The DMS may generate term and count index information based on the metadata. The term and count index information may map terms to data paths that include the terms and numerical values associated with the terms, respectively. The DMS may store, in the index registry, the term and count index information with an identifier of a corresponding index group. The namespace and hierarchical index information may be common to multiple index groups.

An end-to-end rendering system enforces policy-constrained, symbolic presentation of artificial-intelligence (AI) outputs prior to any pixel emission. An AI accelerator emits inference tokens as (token identifier, confidence, domain tag) tuples into an output FIFO. A graphics processor with a command processor and SIMD co-processor executes a policy engine that runs a deterministic finite automaton (DFA) stored in non-transitory memory. The DFA consumes the tuples and produces, before any frame-buffer writes, a permit / deny decision and a visibility mask that constrain presentation attributes. A glyph selector maps permitted tuples to entries in a constrained glyph dictionary specifying a glyph identifier, semantic class, and allowed substitutions. A provenance tagger computes a cryptographic hash over at least the glyph identifier, a DFA-state policy identifier, a session nonce, and a checksum of the tuples to create an evidence capsule bound to the glyph. A device-aware renderer, consulting a device profile registry and a rendering grammar, emits a renderable asset for the glyph only when permitted by the visibility mask and grammar. A justification ledger records, for each displayed glyph, the evidence capsule and a monotonic timestamp. Executed entirely within the graphics processor, the pipeline prevents unauthorized tokens from entering the display path, enables cryptographically verifiable traceability of visible content, and reduces bandwidth by representing outputs as glyph identifiers rather than text or raster imagery, while allowing runtime policy updates without modifying the underlying inference model.

The invention discloses a cross-domain identity authentication and access authorization method, system and device and a medium, and belongs to the field of Internet of Things. According to the method, a unified identity authentication mechanism and a dynamic authority control model are constructed based on a decentralized identifier and a block chain technology. Firstly, an Internet of Things entity submits decentralized identifier information through an identity authentication request; the system generates identity metadata according to the request and records the identity metadata to an identity registry, and meanwhile, constructs a decentration identification document and stores the decentration identification document to a verifiable data registry. And then, the authorizer executes point-to-point trust evaluation based on the identity data and the on-chain traceability information, and generates a verifiable certificate with an encrypted signature. And the verifier completes certificate verification through an intra-domain or cross-domain verification mode, and dynamically grants the authority according to the trust value and the access policy directory. Cross-domain trust migration and dynamic permission adjustment are supported, and the identity authentication security and the access control flexibility in the multi-domain environment of the Internet of Things are improved.

The technology disclosed herein enables identifying, in a container registry, a plurality of containers corresponding to a plurality of continuous integration (CI) components for continuous integration, deploying, to an execution environment, the plurality of containers, identifying, based on a configuration script, a dependency between a first container of the plurality of containers and a second container of the plurality of containers, and configuring, based on the dependency, the second container to access data of the first container. Each container of the plurality of containers corresponds to a CI component of the plurality of CI components.

Computer-implemented system for real-time validation and threat mitigation for structured health transactions, including: a client policy repository that contains client-specific validation rules, consent restrictions, and risk thresholds; a trusted policy execution enclave that only allows policies and models after remote attestation of code and configuration, and decrypts and processes protected fields exclusively within the enclave; a grammatically aware streaming validator that enforces format and semantic constraints and synthesizes an auto-repair suggestion in case of parser errors, transforming inputs into a policy-compliant form with minimal changes; a hybrid risk engine that calculates rule-based and learned risk scores and furthermore evaluates a subset of features using data protection-preserving calculations to determine risk contributions without decoding selected fields; a causal graph generator that correlates related transactions over time into an entity-resolved, time-aligned graph and identifies impossibility patterns with edge-wise responsibility values; a coordinator for federated learning who updates models from client-local aggregates under differential privacy budgets and suspends aggregation when a distribution drift above a policy threshold is detected; an audit subsystem that generates zero-knowledge evidence demonstrating that selected compliance predicates for a transaction have been met without disclosing protected health information; a risk-adaptive flow control system that directs high-risk substreams into micro-quarantine sections with enhanced testing while maintaining the basic service quality for low-risk substreams; and a register that stores a validity context mark which links each decision to the identity of the policies, models, scope of consent and runtime environment used.

Systems and methods disclosed herein automatically register, monitor, and authenticate distributed artificial intelligence (AI) agents and their operational contexts using a distributed or federated ledger-based agent knowledge registry. The system obtains a registration or query request (e.g., from an AI agent, orchestrator, or user interface) to identify or store operational context linked to each AI-based agent. The system determines a feature set of agent metadata and operational parameters using a first AI model set, and dynamically generates a cryptographically verifiable registry record set using a second AI model set (same as or different from the first AI model set) based on the operational feature set, to be stored in a distributed ledger database. The system automatically executes registry updating, agent selection, or operational verification workflows using a third AI model set (same as or different from the first and / or second AI model sets) to maintain records that trace inter-agent interactions.

The invention discloses a graphical file editing system and method. The system is deployed in the form of an IDE plug-in, and comprises an editor extension module of a JBCefBrowser embedded browser, an editor extension module of a JBCefBrowser embedded browser, and an editor extension module of a JBCefBrowser embedded browser, the file identification module is used for scheduling a corresponding editor based on a file suffix; the graphical engine is used for performing classified rendering on the JSON / XML data based on the component metadata registry; the event processing module supports three-stage dragging and eight-direction zooming; an event driving communication module based on window.post Message, and an event driving communication module based on window.post Message; the operation module is used for synchronizing files and codes through a PSI interface; and a file template management module based on a. Ft template. The method comprises the steps of editor registration and embedding, file identification and loading, content analysis and rendering, interaction event processing, data persistence synchronization and template file creation. According to the method, graphical dragging and editing of the structured file are realized in the IDE, and the development efficiency and the normalization are remarkably improved.

A system and method for cybersecurity inspection of private software registries is presented. The method includes: deploying an inspection broker in a computing environment, the inspection broker configured to communicate with a private registry of the computing environment; configuring the inspection broker to access the private registry for a list of objects stored in the private registry; selecting an object from the private registry for cybersecurity inspection; inspecting the object for a cybersecurity object in the computing environment; generating an inspection result based on detection of the cybersecurity object; sending the inspection result to an inspection environment, the inspection environment including a representation of the computing environment; and initiating a mitigation action based on the inspection result, the mitigation action generated in response to an instruction from the inspection environment.

The invention relates to an equipment access method and device, an electronic device and a storage medium, and the equipment access method comprises the steps: obtaining metadata notification packet information of target access equipment, determining an equipment protocol type of the target access equipment according to the metadata notification packet information and preset feature library data, and sending the equipment protocol type to the target access equipment; and determining a protocol analysis plug-in according to the device protocol type, loading the protocol analysis plug-in to extract a device capability set, mapping the device capability set to a national standard registry to determine a national standard mapping result, and adding the target access device to the national standard management platform according to the national standard mapping result. Through the application, the problem of how to access the equipment only supporting standard streaming media output to the platform meeting the national standard protocol requirement is solved, the access and management of the multi-protocol standard streaming media equipment to the national standard platform are realized, the process is simplified, the system integration complexity and development cost are reduced, and the method has good compatibility and expansibility, and is suitable for popularization and application. The system stability and the resource utilization rate are improved.

A computerized platform enables secure, policy-compliant creation, governance, and monetization of digital artifacts produced by AI-driven “persona” agents in regulated domains (e.g., healthcare, finance). For each agent session, a federated compliance-token generator issues a cryptographically signed token embedding the full delegation chain, credential lineage, real-time policy snapshot, monetization rules, expiration and revocation data. As artifacts or workflows cross organizational or jurisdictional boundaries, a token inheritance module can subdivide, transfer, renew, or revoke the token while appending each event to an immutable, cryptographically linked audit trail. Every agent output is encapsulated as a digitally signed artifact that is indelibly linked to its originating compliance token and enriched with provenance, consent, and service metadata. A permissioned blockchain (or sharded distributed ledger) functions as an asset registry that immutably stores artifacts, tokens, and chronological records of creation, access, transfer, consent change, and policy updates. A smart-contract monetization engine allocates revenue or royalties based on artifact usage and institutional agreements, writing each billing event atomically to the ledger. Collectively, the system delivers continuous end-to-end traceability, privacy preservation, and automated financial settlement across diverse institutional boundaries.

Disclosed is a container registry management system including a registry management device that manages a plurality of container registries, a source code management device that receives a source code from a first user, builds a first container image based on a request signal of the first, and pushes the first container image to a first container registry within the plurality of container registries, based on a request signal of the first user, a user management device that manages a first image access permission of a second user for the first container image based on a request signal of the first user and manages a first access permission of the first user for the plurality of container registries and a second access permission of the second user for the plurality of container registries, and a data storage device that stores data related to the registry management device.

The invention relates to the cross technical field of a distributed artificial intelligence system and micro-service governance, in particular to a service monitoring and management system based on a distributed Agent, which adopts a three-level architecture of a user layer, a host Agent layer and a service Agent layer: the user layer is provided with a unified entrance forwarding request; the host Agent layer is integrated with a service registry and other modules to realize global management and control; the service Agent layer comprises a registration module and the like to complete function and state feedback. Through four innovations of a dynamic observability model, an incremental heartbeat protocol, a fine-grained state machine and an intelligent routing engine, dynamic binding of a service function and a state is realized. The scheme has the advantages that the service observability is improved, and the problem positioning efficiency is optimized; the monitoring data transmission quantity is reduced; the service interruption time is shortened, and the availability is improved; and the method is suitable for scenes such as intelligent customer service and the like.

The invention provides a software monitoring method, system and device based on byte code replacement and risk awareness and a medium, and belongs to the technical field of software security. The method comprises the steps that a special annotation mark in a source code is scanned, a test code entry point is recognized, and metadata information is extracted; performing encryption processing on the metadata and generating a registry file with a digital signature; environment safety data are collected through four monitoring dimensions, and a comprehensive risk score is calculated; generating a grading fusing instruction according to the score; and finally executing the fusing operation of byte code replacement or thread sandbox isolation. According to the invention, accurate identification and real-time protection of the leakage risk of the test code are realized; through a multi-dimensional monitoring and hierarchical fusing mechanism, the system security is ensured, and the influence on the service performance is minimized; and byte code replacement and thread isolation technologies are adopted, so that security protection can be realized without restarting the application, and the availability and the operation and maintenance efficiency of the system are improved.

Apparatus, method, and software of managing dependencies in branches. In an embodiment, a dependency manager is implemented on an automation tool communicatively coupled to a package registry that stores code packages comprising main packages and branch packages. The dependency manager is configured to expect a publish command at the automation tool to publish a branch package for a development branch of main code, identify a name of the development branch, and modify a scope in a metadata file of the branch package with the name of the development branch. In an embodiment, the dependency manager is configured to predict an install command at the automation tool to install one or more dependencies specified for the development branch, and modify each dependency in the metadata file to reference a published branch package corresponding with the dependency when a valid published branch package is found.

A method for maintaining a function registry includes: obtaining, by a function-as-a-service (FaaS) function registry manager of a FaaS environment, a user query parameter from a first client, wherein the FaaS environment includes a FaaS function registry; in response to the obtaining: comparing the user query parameter with metadata parameters of the FaaS function registry; identifying at least a first function in the FaaS function registry with metadata parameters that match the user query parameter; and providing a first function image and first function metadata associated with the at least the first function to the first client, wherein the first client performs code-ahead and real-time documentation using the first function image and the first function metadata.

A computer-implemented method includes: receiving a first request from a registrant to associate a domain name with a blockchain address; transmitting the first request to a registry, wherein the registry is configured to digitally sign the first request; submitting the digitally signed data from the first request or transformation of the data from first request to a first blockchain contract, wherein the first blockchain contract is configured to store the associated domain name as a first blockchain identifier; determining a deployment of a second blockchain contract by the registrant; transmitting a second request to the registrant to associate a subdomain of the associated domain name as a second blockchain identifier for the second blockchain contract; receiving, from the registrant, an indication to use the subdomain as the second blockchain identifier for the second blockchain contract; transmitting the second request to a registry, wherein the registry is configured to digitally sign the second request; submitting the digitally signed data from the second request or transformation of the data from second request to a second blockchain contract, wherein the second blockchain contract is configured to store the associated domain name as a second blockchain identifier.

The invention discloses a heterogeneous instruction dynamic adaptation remote label printing method and system, a terminal and a medium. The method comprises the steps that a server side receives a printing request remotely sent by a user through terminal equipment; a target printer driver is dynamically read and loaded through a built-in equipment driver abstraction layer, and a registry of a target printer is inquired to obtain an instruction set supported by the registry; calling an adapter mode of a device driving abstraction layer to analyze the printing request, and generating label data matched with the target printer special instruction according to the label content; and the label data and the printing parameters are sent to the target printer, and label output is completed. According to the method, the pre-installed printer driver is read and matched, the unified middle layer adaptive interface is extracted from the upper layer, and instructions used by the printer do not need to be distinguished during printing, so that a user does not need to perceive the difference of the printer, the operation is simple and convenient, and the printing efficiency is improved.

The invention relates to a smart home equipment control method and system based on QUIC point-to-point communication, and belongs to the technical field of smart home control, and the control method comprises the steps: receiving a natural language instruction of a user terminal, and carrying out the analysis to obtain a target equipment identifier and an operation intention description text; retrieving a pre-constructed equipment registry according to the target equipment identifier, and obtaining a corresponding cue word template and a QUIC connection address; calling an artificial intelligence model deployed locally, and outputting a structured equipment control instruction in combination with the operation intention description text and the cue word template; performing signature encryption on the structured equipment control instruction, establishing a QUIC end-to-end encryption transmission channel between the user terminal and the target equipment, and transmitting the QUIC end-to-end encryption transmission channel to the target equipment; receiving operation response data fed back by the target equipment after the target equipment verifies and executes the structured equipment control instruction; the device registry is dynamically optimized based on the operational response data. According to the invention, the risk of cloud service privacy leakage can be reduced, and the data security of the smart home system is improved.

Methods, systems, and computer program products for executing trusted software components in public computing clouds. Verifiably authentic software components are installed into a tenant partition of a multi-tenant public cloud-based environment. To do so, a software component installer is configured to install registered software components into the tenant partition. Installer processing includes (1) obtaining a component-specific token for a software component wherein the component-specific token is specific to both the software component to be installed and a particular tenant, and (2) installing the software component on behalf of the given tenant in the multi-tenant public cloud-based environment. Prior to executing the underlying code of the tenant-specific software component, the software component is authenticated with a component registry using the component-specific token. Additional trusted components are installed based on demand from within the tenant partition. No user or administrator intervention is needed and no credentials are hard-coded into the software components.