472 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 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.

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.

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.

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.

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 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.

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.

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.

The invention discloses an e-commerce advertisement accurate recommendation system based on deep learning, and relates to the technical field of e-commerce, and the system comprises the following modules: an entity index module used for constructing a node registry; the hypergraph construction module is used for continuously monitoring an event stream and constructing a dynamic hypergraph; the initial embedding module is used for extracting a node embedding tensor and a hyperedge embedding tensor; the graph representation learning module is used for extracting a final node embedding representation tensor and a final hyperedge embedding representation tensor by improving a GraphTransform model; the click rate estimation module is used for outputting the predicted click rate of each candidate advertisement; and the sorting decision module is used for screening a candidate advertisement list. According to the method, the limitation that a traditional recommendation method depends on simple characteristics and neglects high-order association and dynamic evolution information is overcome, and a powerful solution is provided for realizing efficient, accurate and personalized e-commerce advertisement recommendation.

Systems, methods and apparatus for location-based services with data privacy protection. A privacy agent in network communication with a global privacy policy registry is installed on a mobile device. The privacy agent is operable to enforce rules based on privacy agreements when the mobile device is within and / or within a predetermined proximity of one or more geofences.

Techniques for data security transactions using software container machine readable configuration data are described, including transmitting a query from a platform to a container registry, receiving a software container as responsive data transmitted from the container registry to the platform, parsing the software container to identify a data structure associated with a first file system of the software container, rewriting the first file system to a second file system, the second file system being annotated with dm-verity data, executing the software container in a runtime environment, evaluating the second file system after being validated to check a data block in the second file system of the software container to determine if the data block associated with the software container has been modified, and applying a corrective action to the data block if the data block has been modified.

The invention discloses a hand-eye cooperative robot control system and method based on dynamic operator arrangement, an upper computer planning layer operates a master control computer to periodically trigger task scheduling, a joint controller of a lower computer execution layer receives an instruction through a redundant bus to perform servo control, hand-eye camera data triggers a visual assembly line through an interrupt event, and a visual assembly line is controlled through a control interface. According to the method, pressure is calculated through visual processing, motion planning and joint control in a load sharing mode, a double-buffering mechanism is adopted to enable current frame visual processing and previous frame motion control to be executed in an overlapping mode, real-time scheduling and parallel computing of tasks are completed, hot data are cached in a memory database, cold data are archived to an HDFS and migrated through an LRU strategy, and the real-time scheduling and parallel computing of the tasks are completed. Data type conversion is automatically derived and performed based on a feature type registry, and conditional branch execution is triggered according to real-time sensor data. According to the control system, cross-hardware plug and play, algorithm flow configurability and data flow real-time sharing are achieved, and the requirement for improving the efficiency of complex operation tasks is met.

The invention provides an equipment debugging system based on a serial port, which relates to the technical field of data processing, and comprises a server side and a client side which are in communication connection through the serial port, the server side comprises a memory, a command parser, a command distributor and a function executor; the memory is used for storing a debugging command registry; the command parser is used for parsing a protocol data packet which is transmitted through a serial port and comes from a client side, querying a debugging command registry and determining a debugging function corresponding to a command ID; the command distributor is used for distributing debugging functions to the function executor; the function executor is used for executing operation corresponding to the debugging function; the client side comprises a compiler, a description file analyzer and a graphical user interface; the compiler is used for generating a debugging description file after compiling the MCU program; the description file analyzer is used for analyzing the debugging description file, generating a protocol data packet and sending the protocol data packet to the server side through a serial port; the graphical user interface is used for displaying debugging information.

Techniques are described for enabling computing devices in computing environments distinct from a cloud provider network to use temporally staggered container image pull requests upon initiating execution of a container-based task. For example, upon determining to launch a container on a computing device running in a computing environment that is distinct from a cloud provider network, an agent running on the computing device can select a time in the future at which to request the container image(s) to be used to launch the container from a container registry based on a randomized value. The randomized value, for example, can enable each computing device in the environment to request the container image(s) at a time that differs from times at which other computing devices in the environment generate similar requests (e.g., such that the request times are “staggered” relative to one another).

The invention relates to the technical field of archive storage, and discloses an archive storage system and method based on a digital object architecture, and the system comprises a unique identification and relation analysis assembly which is used for generating a globally unique object identifier; the digital object warehouse is used for constructing digital objects; the digital object registry is used for establishing a metadata index which can be retrieved; the distributed account book module is used for forming an on-chain record; and a policy-driven engine for monitoring and receiving the broadcasted structured transactions and determining the affected context scope to execute the embedded lifecycle policy. According to the technical scheme, the electronic original text is constructed into the digital object containing the Merkel tree integrity verification data, and all key operations are recorded in the distributed account book module, so that full-chain trust guarantee of archive data from content to process is realized; therefore, the integrity of the data in the long-term storage process can be effectively verified.

The invention discloses a digital trust service system supporting a cross-industry multi-scene authentication requirement, particularly relates to the field of digital identity authentication, and is used for solving the problem that a policy rule cannot be effectively bound and executed in a cross-domain path due to the lack of unified constraint of a communication protocol layer in an existing certificate intercommunication mechanism. According to the method, strategy meta-information is packaged through a strategy binding module to form a strategy accompanying packet which is bound with a certificate homologous signature, a session evaluation module carries out handshake negotiation to generate a confirmed context, and a path verification module verifies the signature along a path, revokes a snapshot and writes an audit track. The verification execution module executes the disclosure rule according to the context to generate a feedback result, and the evolution registration module updates the evaluator and the cutting strategy to register the trust registry according to the feedback. According to the system, cross-domain cooperation consistency and traceability are ensured, and the supervision implementation efficiency is improved.

An automated integrated dataset marketplace method is disclosed. The method includes capturing and processing user data from transactions associated with a user to generate a user data footprint. The method includes creating reference clusters from the captured user data, identifying, confirming, and rating provenance characteristics of the user data in the created reference clusters. The method includes generating an augmented user data footprint through supplemental user data, including watermark and authorization data on a territory basis, and processing the augmented user data footprint, scoring the same based on industry-specific parameters and weightings, and generating one or more user data registries on an industry-by-industry basis. Thereafter, the method includes enabling transacting of datasets from the one or more user data registries between users supplying data for said datasets and entities desiring to acquire the same.

This disclosure describes techniques for client-controlled and secure disclosure of attestations of identifying information of subjects. For example, a method includes obtaining, by a computing system, identifying information associated with a subject. The method also includes generating, by the computing system and based on the identifying information associated with the subject, a decentralized identifier (DID) associated with the subject and one or more attested claims of the identifying information associated with the subject. The method further includes receiving, by the computing system and from the subject, a request to send the identifying information to one or more relying parties, and in response, recording, by the computing system, the DID in a verifiable data registry, and sending, by the computing system, the one or more attested claims to the one or more relying parties.

Techniques for geospatial-temporal pathogen tracing in zero knowledge include: generating, by a first user device, a first proximity token for contact tracing; receiving, by the first user device, a second proximity token from a second user device; generating, by the first user device, a hash based on the first proximity token and the second proximity token; generating, by the first user device using a prover function of a preprocessing zero knowledge succinct non-interactive argument of knowledge (pp-zk-SNARK), a cryptographic proof attesting that an individual associated with the first user device tested positive for a pathogen; transmitting, by the first user device, first publicly verifiable exposure data including at least the cryptographic proof and the hash to a public registry; and applying at least the first publicly verifiable exposure data and second publicly verifiable exposure data to a machine learning model, to obtain actionable intelligence associated with the pathogen.

A system and method for decentralized identifier-based ticketing is provided. [Solution] A method for decentralized identifier-based ticketing includes a step in which a user device uploads a decentralized identification (DID) and a DID document to a Verifiable Data Registry (VDR) and registers the DID; a step in which the user device transmits the DID and requests the issuance of a verifiable credential (VC) for the purchased ticket; a step in which an issuer device obtains the DID document from the VDR via the DID; a step in which the issuer device interacts with the user device to authenticate ownership of the DID using an authentication method included in the DID document; and a step in which the issuer device issues a verifiable credential corresponding to the DID to the user device if the issuer device successfully authenticates ownership of the DID.

A digital twin of a wireless network comprises a registry storing services supported by digital twin functions; a 3D model management function for selecting a model; a network topology model management function for selecting a site and hardware; and a UE profile model management function for selecting user device distribution and mobility, and traffic profiles. The digital twin also includes a radio model management function for selecting and generating a radio model; a network and UE model management function for providing network behavior models and UE behavior models for running simulations; and a configuration model management function for selecting and creating network configurations and UE configurations for multiple modules. The digital twin further includes a simulation services module for simulating network and UE behavior; and a simulation orchestrator function for planning, analyzing, and optimizing network features and scenarios.

The invention discloses a cross-regional API asset management method and device, equipment and a storage medium. API activity data collected by region collection agents are obtained, each deployment region is provided with a corresponding region collection agent, the API activity data comprises network boundary traffic, DNS analysis records, service registry data, side vehicle agent logs and probe data during application operation, feature vectors representing API interface feature information are extracted from the API activity data, and the feature vectors are used for representing API interface feature information; the feature vectors are identified, APIs corresponding to the API activity data are identified, the APIs are clustered based on the feature vectors, and the APIs of the same type in the deployment areas are managed in a classified mode. A distributed and decentralized API identification mechanism is adopted, cross-regional deployment is supported, the dependence of a gateway is eliminated, the cost is reduced, an API feature modeling method based on multi-source data fusion is adopted, the API identification accuracy is improved, and cross-regional API identification and classified management are supported.