27 results about "Oracle" patented technology

Systems and methods of the present disclosure enable identifying labelling a source signal data signature using a computing system to test candidate chain oracle models by iteratively performing, for each particular number of neural network models in the range of the number of neural network models, a predetermined number of trials, where each trail includes: randomly selecting the particular number of neural network models; utilizing each neural network model of the particular number of neural network models to generate a respective predictive output based on the second input data; utilizing the LR model to generate a trial output based on the respective predictive output, and determining a model trial performance based on: the trial output, the second output data, and at least one machine learning performance metric. A chain oracle model from the candidate chain oracle models is determined based on the machine learning performance metric.

This invention discloses a task scheduling method and system based on an ITSM platform, belonging to the field of IT service management technology. The method includes the following steps: acquiring an available execution node cluster; collecting task execution records of nodes within a second scheduling set to generate a true performance baseline; performing periodic node rotation operations between the first and second scheduling sets based on historical execution data and the true performance baseline; calibrating the historical execution data of the first scheduling set; monitoring the real-time load distribution of the first scheduling set to trigger emergency node rotation operations; performing emergency node rotation operations and resetting historical data for nodes that have undergone rotation; and updating the initial node quantity ratio. This invention solves the problems of hotspot solidification, self-fulfilling oracle, and cluster resource utilization imbalance caused by historical affinity bias in existing technologies by dividing execution nodes into a first scheduling set and a second scheduling set.

This application discloses a method and related apparatus for grading math problems, relating to the field of artificial intelligence technology. This application converts user responses in natural language into proof skeleton data in a pre-defined formal language, and uses a compiler of the pre-defined formal language as a deterministic oracle. By capturing compilation feedback signals, it determines the final evaluation result of the reasoning validity of the problem-solving process. By using the compiler's strict execution of substitution probability prediction, it provides deterministic logical truth values ​​for fuzzy natural language reasoning. Therefore, it can improve the reliability of the evaluation of the reasoning validity of students' problem-solving process.

This invention provides an automated compiler testing method based on specification inference and loop consistency verification to address the problems of traditional compiler testing, which relies on differential testing, requires reference implementations, and cannot effectively test domain-specific compilers. The method first extracts a syntactic skeleton set and a detailed reference set from heterogeneous specification documents; it then uses a large language model to infer type-safe formal grammar rules through multi-agent collaboration; based on the inferred grammar, it generates semantically valid test cases using a seed-preserving abstract syntax tree-level mutation strategy; it executes a compile-decompile-recompile loop on the test cases and detects compiler defects through binary-centralized comparison and noise normalization. This invention achieves systematic automated testing of compilers in the absence of reference implementations and execution oracles, improving compiler reliability and system security.

This invention discloses an oracle bone script recognition method, system, electronic device, and storage medium based on a hybrid CNN-Transformer network. The method first preprocesses the oracle bone script image and constructs a multi-source feature extraction network including local perception and global cognition branches. Then, a frequency-enhanced Transformer module is introduced into the global cognition branch to adaptively suppress high-frequency background noise through a frequency domain filtering mechanism, and a compact cross-channel interactive attention mechanism is combined to extract fine-grained stroke features of the oracle bone script to compensate for detail loss. Next, a selective branch gating fusion mechanism is introduced to dynamically evaluate the semantic importance of features and adaptively aggregate local perception and global cognition features. Finally, the oracle bone script recognition result is output. This invention can effectively overcome noise interference from complex rubbings and intra-class differences in character shapes, significantly improving the accuracy and robustness of oracle bone script recognition.

A method of training, verification, and advanced notice for an autonomous system, comprising: by a machine learning classifier, wherein an adversary vehicle, and a primary vehicle are on the same path; creating a path position probability transition matrix, wherein the path position probability transition matrix comprises an acceleration parameters array of one or more acceleration parameters for a potential position, sorting a sample path, and using Ne elite path; creating a samples array, wherein the sample array is one or more paths; evaluating a sample path; sorting the sample path, based at least in part a custom score of a custom score function and selecting a subset of the sample paths as Ne elite paths; using the Ne elite paths to update the path probability transition matrix and the acceleration parameters array; and repeating until the Ne elite paths stabilizes for a predetermined number of iterations.

The present application belongs to the cross technical field of computer software and intellectual property management, and specifically relates to a kind of intellectual property whole life cycle intelligent management method and system based on value code.The present application aims to utilize digital identity identification (value code), block chain storage, intelligent contract automatic execution and other technologies, to build an integrated management platform of intellectual property registration, circulation, rights protection and value evaluation, which is traceable, verifiable and can automatically execute right distribution.The system anchors assets by generating a globally unique value code for intellectual property, deploys modularized smart contracts for ownership, license, rights protection and other modules, uses oracle network to realize off-chain event-driven on-chain state change and trusted storage.In addition, a dynamic value evaluation model is built by combining multi-source data and verifiable computing, and cross-chain interoperability protocol is used to realize cross-domain collaborative governance of assets.The present application effectively solves the problems of scattered ownership records, low efficiency of right distribution, value evaluation disconnection and poor cross-system interoperability in traditional management, and realizes cost reduction and efficiency improvement and value maximization of intellectual property management.

This application provides a blockchain network attack detection method based on semantic analysis. It generates log-related control flow graphs and state transition rules through static analysis of smart contract source code, constructs structured log semantic sequences by jointly applying log parameters decoded using a binary interface, and executes the log-driven state machine sequence to verify constraints and detect attacks. This upgrades traditional log parsing from "parameter display" to "behavioral semantic reconstruction," solving the problem that existing technologies cannot recover state transition rules. Simultaneously, through data dependency pruning and formal rule generation, it considers both source code logic and runtime behavior, enabling early anomaly detection and precise attacker location for decentralized oracle network attacks, improving detection timeliness and proactive defense.

Example embodiments of the present disclosure provide for an example method including maintaining a current version info list including version info tuples for software layers. The example method includes, upon receipt of a request for a registered version key, performing a comparison algorithm to authenticate a requested version info list including a number of version info tuples associated with software layers. The tuples can include a security version number (SVN) and a security context string for each software layer. The requested version info list can be authenticated using the comparison algorithm to determine that the requested version info list includes version info tuples with higher SVNs than the current version info list. Responsive to authenticating the requested version info list, the method include providing a portion of the requested version info list as input into a key derivation function (KDF) and obtaining a device requested version key as output.

A method may include: receiving, by a smart contract, a request for a random number and a randomness seed from a user; deploying the request as a transaction that is written on a first block in the decentralized ledger; generating, by an oracle, a plurality of pseudorandom quantum circuits using the randomness seed; providing the plurality of pseudorandom quantum circuits to a quantum randomness source, wherein the quantum randomness source executes the quantum circuits and returns a sequence of random bits to the oracle; writing the sequence of random bits to a new block in the decentralized ledger; hashing the sequence of random bits and a block hash for the new block; and returning the hash of the sequence of random bits and the block hash to the user computer program, wherein the user consumes hash of the sequence of random bits and the block hash.

This invention provides a method and system for matching transactions based on a blockchain oracle. The method includes: each buyer and seller sequentially uploading transaction information to the blockchain; updating a first incremental hash value in the smart contract according to the hash value of the transaction information; calling an off-chain computing system via the oracle to calculate a second incremental hash value based on the hash value of each transaction, the calculation method of the second incremental hash value being the same as that of the first incremental hash value; matching the transaction information according to preset matching rules to obtain a matching result to be verified; uploading the matching result to be verified and the second incremental hash value to the blockchain; and verifying the matching result to be verified using the first incremental hash value, the second incremental hash value, and the preset matching rules through the smart contract to determine the matching result. Implementing this invention improves the security of transaction information and increases the matching efficiency of transactions.

The present application relates to a kind of contract anonymous certificate generation and verification method and system based on event triggering.The method includes: certificate issuer generates system public parameter and issuer key pair, and defines double-layer authorization strategy;Each oracle generates signature key pair;User initiates certificate application, and certificate issuer generates the encrypted pre-certificate in lock state, and generates the zero-knowledge proof of encrypted pre-certificate correct construction and sends to user, and user verifies in off-chain;When real event occurs, corresponding oracle signs event attribute and label, generates event signature and broadcasts to user;User collects to meet the event signature of first layer oracle authorization strategy, corresponding encrypted pre-certificate is verified after decryption zero-knowledge proof, if meet second layer event authorization strategy, then generate final valid certificate;User generates zero-knowledge display token, and submit to verifier only to verify validity;Privacy can be guaranteed, and running cost is reduced.

This invention provides a smart evaluation assistance method and system based on a large language model. The method initializes the received evaluation task and generates a corresponding evaluation strategy through rule mapping. Then, based on this evaluation strategy and the evaluation documents in the initialized evaluation task, it uses a pre-built large oracle model for semantic localization to extract full information. A two-layer evaluation information database is constructed based on this full information. Based on this database, a multi-role intelligent agent collaborative mechanism is used for division of labor, collaboration, and information exchange to generate scoring results and supporting explanations. Finally, a review report containing traceability evidence is generated based on the scoring results and supporting explanations and fed back to the business system. The intelligent agent experience database corresponding to the multi-role intelligent agent collaborative mechanism is updated according to the feedback results. This solves the problems of incomplete information retrieval, inaccurate review results, low evaluation efficiency, insufficient strategy adaptability, and inefficient multi-role collaboration in traditional evaluation assistance technologies.

This invention relates to a method, apparatus, and medium for recognizing long-tailed oracle bone script based on hierarchical structure and multimodal fusion. The method includes: constructing an oracle bone script image dataset; generating a superclass-subclass tree structure of oracle bone script using a self-supervised model combined with the Ward linking criterion; generating visual descriptions of each oracle bone script category using a large language model; constructing a pure visual hierarchical recognition model, constraining the superclass-subclass prediction logic through a hierarchical consistency loss function, and filtering irrelevant fine-grained categories using a winner-takes-all strategy; constructing a multimodal recognition model, freezing the parameters of the pure visual hierarchical recognition model, obtaining the superclass prediction result and retrieving the corresponding visual description from the multimodal knowledge base, inputting the input image, task instructions, and retrieval results introduced based on a random corpus injection strategy into the multimodal recognition model, and outputting the subclass classification result; obtaining the image to be recognized, inputting it into the pure visual hierarchical recognition model to obtain the superclass prediction result, and then inputting it along with the task instructions into the multimodal recognition model to obtain the subclass prediction result. Compared with the prior art, this invention has the advantages of effectively solving the problems of extreme long-tailed distribution, feature space collapse, and misjudgment of visually similar characters in oracle bone script recognition.

Embodiments of the present application provide a data processing method and device based on a line segment tree structure, equipment and medium, the method comprises: after the oracle contract receives the first transaction request sent by the business contract, the first request condition corresponding to the first condition hash value is obtained based on the first transaction request, and the condition hash value matched with the first condition hash value is found in the line segment tree structure of the on-chain storage space. If not found, the oracle contract is called to send the first off-chain query request for the first request condition to the off-chain oracle, so that the oracle returns the first off-chain business data to the oracle contract. The received first off-chain business data is taken as the first business data by calling the oracle contract, and the first business data and the first condition hash value are updated to the tree node associated with the first request condition in the on-chain storage space. By using the embodiments of the present application, the utilization rate of off-chain data can be improved, and the waste of storage resources can be avoided.

The application provides a kind of multi-agent collaborative MCP registration, authorization and execution method based on blockchain, it is related to artificial intelligence technical field, including MCP provider, LLM provider, terminal user three parties, the registration, joint authorization and trusted execution of MCP are realized through smart contract, including: registration MCP metadata chain, apply for authorization for user-LLM combination, LLM initiates double signature call, contract verification and triggers execution, Oracle returns result and updates state.The application realizes decentralization, multi-agent collaboration, MCP call full-link verifiable, accurate definition of rights and responsibilities, supports fine-grained permission management and automatic fee settlement, meets GDPR, HIPAA and other compliance regulatory requirements, provides underlying support for large-scale and secure invocation of external services, and is suitable for SaaS, API market and other multi-scene applications.

The application provides a government affair data acquisition method and system of an artificial intelligence large language model, and the method comprises the following steps: S1, government affair data source access and heterogeneous data standardization processing; S1.1, the server acquires access information and data element information of cross-department government affair data sources; S1.2, the server constructs a government affair heterogeneous data mapping model based on government affair data element information, and sets a heterogeneous data mapping function. Through the construction of the government affair heterogeneous data mapping model, the standardized conversion of cross-department government affair data of different databases such as MySQL, Oracle and MongoDB is realized, the heterogeneous data data puzzle type integration problem is effectively solved, and the data sharing barrier between government departments is broken.

This invention discloses a microgrid lifecycle planning method based on a physically decoupled surrogate model in the field of microgrid planning and optimized operation technology. This method includes: constructing a two-layer microgrid planning model covering the entire equipment lifecycle; establishing a physically decoupled surrogate model architecture; decomposing the objective vector into a smooth continuous subspace and a sparse abrupt subspace, and designing corresponding loss functions for each; adaptive active learning sampling during the execution phase, utilizing an uncertainty quantification method based on committee queries, and introducing a dynamic decay weighting mechanism; and employing a hybrid oracle-based online correction integer-encoded multi-objective evolutionary algorithm to solve for the optimal configuration scheme. This invention can eliminate the feature masking effect between heterogeneous objectives, improve the accuracy of identifying physical hard constraint boundaries, and achieve efficient and high-fidelity planning scheme solutions under limited computing resources.

This information processing device comprises: a prediction unit that calculates an objective function by converting input information comprising observation information of a predetermined physical quantity and a control variable for the predetermined physical quantity into a latent variable of a low-dimensional latent space, identifying a state equation by sparse regression to which Regularization with Oracle is applied using the latent variable, and performing time-series prediction using the state equation; and a control unit that calculates optimal control by solving an optimization problem based on the objective function.

This invention discloses a procurement cost optimization method applied to manufacturing supply chain management, comprising the following steps: Purchaser nodes publish procurement demands containing dynamic green standard thresholds; supplier nodes register their green attribute proofs and dynamic performance capability data, cross-verified by third-party collaborative nodes and marked with confidence levels, generating a unique on-chain trusted dataset; based on procurement scale, industry green policy level, and market supply and demand fluctuation coefficients, adjust the objective weights and constraint priorities of a multi-objective optimization model, and input the unique trusted dataset into the adjusted multi-objective optimization model to solve for the Pareto optimal procurement decision scheme; compile the optimal procurement decision scheme into a layered programmable smart contract and deploy it to the supply chain blockchain network; obtain on-chain and off-chain performance trigger data in real time through oracles, driving the contract to automatically execute tiered payment, tiered incentive, or gradient penalty operations. This achieves automated performance and effectively reduces risk.

Disclosed is a game engine system for just-in-time (JIT) game development and gameplay. The system can include: a web socket to provide a synchronous real-time bidirectional network connection between a user device of a game player and the game engine system, a first oracle to generate a first type of response based on existing context for a JIT game world and in response to user actions during gameplay in the JIT game world, a second oracle to generate second type of response based on generating new context for the JIT game world and in response to the user actions, and a middleware that can receive user input from the user device including the user actions during the gameplay, provide the user input to the first and / or second oracle, and return the first and / or second type of response to the user device.

Systems, computer-implemented methods, and computer program products to facilitate reducing error propagation when combining generative aligners and transition-based aligners are provided. According to an embodiment, a system can comprise a processor that executed components stored in memory. The computer executable components comprise a generative alignment component, an error propagation component, a discriminative parser, and a stochastic oracle policy component. The error propagation component can compute a posterior distribution over one or more hard alignments of parts given a pair of the generative alignment component. The discriminative parser can be trained via the stochastic oracle policy component to reduce error propagation when combining the generative alignment component with the discriminative parser.

The application discloses a dual-write technology transformation method, device and medium based on a MySQL data source, and relates to the technical field of information processing, wherein the method comprises the following steps: dynamically configuring the MySQL data source; adding a MySQL aspect in a Dao layer, creating an annotation, and realizing a dual-write or dual-read operation through a Spring Aop; judging the type of parallel verification in aspect logic and realizing dual-write operations of Oracle and MySQL; judging the type of verification process in Spring framework logic and operating according to the type of the corresponding verification process; switching different data sources to realize Sequence; realizing dual-write of a log table and a report table; realizing dual-read of a dictionary table; and realizing dual-write and dual-read of a temporary table. Through the method, the problem that a great change, high risk and high cost are caused when Oracle is replaced in the prior art can be solved.

The application discloses a kind of based on self-supervised transfer learning's ancient character expansion sheet residual character repair method, including " copybook pre-training-expansion sheet transfer fine-tuning " two stages, the first stage with the structure complete oracle bone script copybook as source data, construct the improved displacement window self-encoding Unet model for oracle bone script copybook repair, learn character general structure features by optimizing window mask strategy and multi-scale fusion loss function;The second stage migrates pre-training features to expansion sheet residual character repair task by transfer learning, designs unlabelled automatic mask generation strategy and hybrid data adaptive training mechanism, realize the unified modeling of complete and defective samples.The application does not need artificial screening sample and marking mask, can still maintain structural integrity on high defective proportion sample, and the repair precision is significantly better than existing method, provides efficient technical path for the digitization repair of oracle bone script and ancient character, such as gold script, small seal script.

This application discloses a blockchain-based data detection method performed by a computer device. The method includes: calling an oracle smart contract based on a verification smart contract to initiate a verification request for a trusted execution environment platform, where the verification request includes an environment signature corresponding to the trusted execution environment platform; triggering an environment verification event comprising the environment signature based on the verification request, wherein an oracle node is configured to obtain verification information about the trusted execution environment platform from a verification service node in response to the environment verification event; and obtaining the verification information from the oracle node and returning the verification information to the verification smart contract.

The application discloses a building raw material traceability tracking management system based on Internet of Things, and belongs to the technical field of quality management. The system comprises a blockchain generation module, a data binding module, a verification triggering module, a strategy adjustment module, a delayed settlement module, a judgment result generation module and a report generation module. The blockchain generation module is used for generating a unique blockchain ID; the data binding module is used for generating traceability data and storing the data in a chain for evidence; the verification triggering module is used for triggering and starting a transport anomaly verification mechanism; the strategy adjustment module is used for adjusting an execution strategy; the delayed settlement module is used for submitting a quality objection request; the judgment result generation module is used for generating a responsibility judgment result; and the report generation module is used for generating a dynamic traceability report. The application ensures the authenticity of terminal data by establishing a time lock delayed settlement mechanism and a multi-party supervision system, and realizes intelligent verification of abnormal conditions in combination with a blockchain oracle, so that the effects of full-chain credible traceability and intelligent flexible control are achieved, and the problems of material switching, acceptance fraud and intelligent contract execution rigidity caused by the lack of an effective verification mechanism in the prior art are solved.

The application relates to the technical field of power system operation and production management, and particularly discloses a power maintenance scheduling system and method based on big data, which comprises a data analysis module, a blockchain collaboration module and a scheduling execution module. The method mainly comprises the following steps: generating predictive maintenance events and real-time abnormal alarm events through big data analysis; converting the events into smart contracts on the blockchain through an oracle; automatically detecting resource conflicts by using a conflict negotiation engine, and generating a scheduling adjustment scheme through preset rules based on the emergency level of emergency events and the adjustable threshold of planned events; automatically updating the contract state after the on-chain consensus of relevant parties; finally, driving the scheduling instruction to be issued and executed, and feeding back, and utilizing a closed-loop data optimization analysis model. The application realizes the automation, collaboration credibility and continuous optimization of the model of the scheduling process, and improves the response efficiency, collaborative transparency and decision accuracy of power maintenance.