24 results about "Alias" patented technology

The application discloses a video point information standard management method and system based on reverse geographical joint checking, which comprises the following steps: performing joint checking on name semantics and geographical semantics through reverse geographical analysis results of latitude and longitude, and calculating geographical consistency scores; and based on the geographical consistency scores and the standard entity set, automatically completing the missing device attributes. Through multi-field preprocessing + candidate slot map joint modeling, the application can fully utilize the complementary information in the original code, attributes, latitude and longitude, and installation description; the BERT-BiGRU-CRF model and its training process are disclosed through prompting enhancement, which can avoid the problem of insufficient disclosure of the entity recognition model, and improve the entity recognition accuracy of non-standard point names; through the dynamic graph updating mechanism, preferably in the incremental updating mode, the application can continuously absorb new aliases, new device types and artificial review results, and avoid long-term static failure of the knowledge graph.

The application discloses a Text-to-SQL-oriented SQL generation quality evaluation method and system, and the evaluation method comprises the following steps: obtaining to-be-evaluated generated SQL, reference SQL and execution environment information; performing standardized processing on the generated SQL and the reference SQL; splitting the standardized generated SQL and the standardized reference SQL according to preset key clauses, and calculating a structure matching score according to preset weights of the key clauses to obtain an optimized accurate matching rate EM+; executing the generated SQL and the reference SQL, calculating an execution deviation score based on column mapping and result set comparison to obtain an optimized execution accuracy EX+; and outputting at least one of EM+ and EX+ as a SQL generation quality evaluation result. The application can solve the problems that existing evaluation indexes are not sensitive to aliases, equivalent expressions and partial errors or are too rough, and can realize fine-grained, interpretable and extensible evaluation of SQL generation quality.

The application discloses a new word and a first occurrence event recognition method and device, wherein the method comprises the following steps: obtaining hot-line work order text data according to a preset period, and preprocessing the hot-line work order text data to obtain a structured text stream; performing word segmentation and sliding window processing on the text stream to obtain an initial phrase candidate set; performing statistical access screening on the initial phrase candidate set, and performing alias merging on the candidate phrases passing the statistical access by using consistency rules of specified dimensions to obtain a word candidate set; updating a current space-time reference baseline based on the word candidate set, and recalculating historical full-amount data according to a specified fixed period to re-calibrate the space-time reference baseline; and determining whether there is a new word in the word candidate set and whether there is a first occurrence event based on the re-calibrated space-time reference baseline. Based on the unified space-time reference baseline, the new word and the first occurrence can be accurately and timely determined.

This application provides a database access control method and computer device. The method first receives a privileged access request and generates a request digest and session identifier to determine the session validity period. Then, after the approval node completes valid signing, a threshold authorization token is generated. Next, an alias seed is generated using a key derivation function with an alias root key and multiple authorization information including at least the threshold authorization token and session identifier. Based on this seed, a transient access alias and a role lease identifier are derived using a hash message authentication code and a hash function, respectively. Finally, a zero-resident privileged session is established based on the transient access alias, role lease identifier, and session validity period, valid only in the current session. The transient access alias and role lease identifier are reclaimed when the session ends or a revocation condition is triggered. Through these steps, security risks are reduced, and on-demand, dynamic, and revocable database privileged access control is achieved, significantly improving database access security.

The application provides a pre-training language model entity knowledge injection method, system and device, and relates to the technical field of artificial intelligence.The method comprises the following steps: obtaining an entity name by calculating the similarity of a string; constructing an entity vector table by encoding the entity semantics through a pre-training language model; constructing a training sample for entity injection; and injecting entity knowledge into the pre-training language model in a comparative learning manner.Through the above method, the problem of entity sparsity caused by the unique nature of domain terminology and the existence of aliases in the field of equipment and the like is solved, the learning efficiency of the pre-training language model for entity semantics is improved, symbol knowledge vectorization is realized, and thus the entity knowledge in the field of equipment and the like can be injected into the pre-training language model.

The application designs a detection method for the defect of the UNSAFE code segment in the Rust programming language, first, based on the rustc_lint module, whether the expression in the program language is contained in the unsafe block written by the developer is judged by using HIR; the structure of the expression is analyzed by using HIR; then, the unsafe operation is analyzed and identified by using MIR; finally, the safe expression or statement in the unsafe block written by the developer is reported; the data flow analysis technology for the function parameter is proposed, the alias propagation chain of the function parameter is found out; it is the key technology required for judging whether the function or method is marked with the unsafe keyword, and the target function is tested by combining the fuzz test technology to judge whether the function must be marked with the unsafe keyword.

This application relates to the field of natural language processing technology and provides a method, apparatus, device, and medium for script asset extraction and index generation. The method includes: splitting the script file into independent texts for each episode, and grouping the independent texts of multiple episodes into several batches of text; in parallel calling a preset large language model to extract structured asset data from each batch of text; if an alias of an asset entity appears as an independent name in a preset directed relation graph, then the preset directed relation graph is updated with the alias of the asset entity as a child node and the standard name of the asset entity as the parent node; based on the updated preset directed relation graph, index records are generated for different names of the same asset entity. This application can automatically and efficiently extract script assets from multi-episode short drama scripts, and can avoid fragmentation and duplicate statistics caused by the same entity appearing with different names in different episodes or batches, forming a unified and searchable asset index.

The present application relates to the technical field of software engineering and operation governance related to enterprise digital transformation, and specifically relates to a low-code-based digital transformation platform rapid building method and system, which stores low-code assets and generates content fingerprints to establish correspondence; version aliases are mapped to fingerprints for assets, and dependencies and deployments are registered; a transmission graph is constructed, and matrix algorithms are used to determine dependency strength, risk value and adaptive freezing threshold; version aliases are distributed to multiple nodes to check fingerprints and obtain dispersion; comparison of threshold values and center conditions is performed to execute mapping freezing or updating, to strongly bind content fingerprints and version aliases, improve distribution landing consistency and traceability, and reduce troubleshooting costs; risk is quantified by dependency transmission and deployment range to generate adaptive freezing threshold; multiple node verification dispersion is linked to center conditions to realize closed-loop governance of freezing or updating, and efficiency and reliability are considered.

This invention discloses a method for constructing an index for large-scale gene expression data and a method for data retrieval. The index construction method is as follows: 1) Construct a corresponding parser for each category of gene expression data; the parser corresponding to the gene expression data of category i is denoted as parser i; 2) For each piece of gene expression data of category i, use parser i to parse it, obtain the metadata of the data and save it to a document, and then set different index types for different fields in the document of category i according to the retrieval requirements to obtain the index of category i; 3) Set the same alias for the indexes of the same category of data and expose the alias only to the upper-level application, set the same name and index setting for the keys with the same semantics in each index; perform a union of the keys, and project the key values ​​returned by each type of index based on this union to obtain the common information and unique information of each type of data, and generate a unified retrieval view.

The application provides an industrial rule compiling and executing method and system based on a domain-specific language, non-standard aliases are dynamically indexed and constrained through the introduction of a global field register mapping table, and standard fields are dynamically bound to a unique namespace-entity type-field name context path according to a product BOM hierarchical relationship tree; a large model syntax extraction and local engine numerical calculation decoupled execution architecture is adopted, that is, a commercial large language model is only responsible for converting natural language into a DSL configuration file complying with JSON Schema to avoid the inefficiency of manual coding, and the actual judgment process involving complex mathematical operations and Boolean logic is completed by a local rule engine through abstract syntax tree traversal in a sandbox environment, thereby avoiding the illusion risk and numerical calculation errors caused by the inherent probability generation characteristics of the large language model, and effectively guaranteeing the data security and system stability in the order verification process.

A system includes a memory storing computer-readable instructions, and at least one processor to execute the instructions to receive an alias for a user, the alias representing a particular person, transmit a request to a server computing device, the request comprising a representation of the alias, query at least one database using the representation of the alias to determine a realtime physical address for the particular person, receive a response from the server computing device, the response comprising an encrypted representation of the realtime physical address for the particular person, and decrypt the realtime physical address for the particular person by the server computing device and send at least one object to the realtime physical address for the particular person.

The application discloses an API interface calling method and device, equipment, medium and product, and relates to the technical field of big data. The method comprises the following steps: obtaining a service request initiated by a client application and a pre-created BPMN process model, and performing instantiation; calling a service task node according to a flow rule in combination with dynamic parameters and a pre-configured alias mapping table to obtain a service result; and dynamically encrypting the service result by using a block chain technology in combination with a UUID, generating response data, and sending the response data to the client. By abstracting the interface calling into a visual BPMN process model and combining static parameters with dynamic parameters, the execution out-of-order problem caused by the dependence on the configuration table order is avoided, the limitation of static configuration is broken through, the complex scene is adapted, the heterogeneous fields of different APIs are unified by using the pre-configured alias mapping table, the heterogeneous adaptation problem is solved, the development cost is reduced, and the end-to-end trusted transmission chain is constructed in combination with a dynamic encryption mode, so that the high-level risk is resisted.

The application discloses a view-based enterprise knowledge graph construction method, device and equipment, comprising: obtaining a view definition script in an enterprise database and preprocessing to obtain a standardized script, and constructing a view dependency topology sequence; converting the standardized script in the sequence into an abstract syntax tree; establishing a mapping relationship between table aliases and physical table names by traversing the source clauses of the abstract syntax tree, analyzing the projection clauses in the abstract syntax tree based on the mapping relationship to determine the source physical table fields corresponding to the projection fields, and generating field provenance relationships; analyzing the join expressions in the abstract syntax tree to extract the join keys between the physical tables, and giving the business coupling degree weight to the corresponding inter-table association; analyzing the field alias definition of the projection clauses and the logical predicates of the filter clauses in the abstract syntax tree to obtain business semantic labels and business constraint rules; performing conflict arbitration and weighted fusion on the view analysis results to construct an enterprise knowledge graph and store the enterprise knowledge graph in a blockchain.

A distributed indexing and resolution architecture is disclosed for decentralized systems requiring modular, trust-scoped mutation control and dynamic alias governance. The system comprises a plurality of index entries arranged in a parent-child hierarchy, each associated with a structured alias and governed by one or more anchor nodes. Anchors perform localized resolution, mutation validation, and restructuring operations under deterministic policy constraints, enabling semantic scope enforcement and entropy-sensitive adaptation without requiring global consensus or centralized control. The architecture supports scoped alias traversal, asynchronous mutation proposals, and elastic anchor registration based on system state metrics. The indexing substrate may be integrated into heterogeneous infrastructures, including systems comprising distributed software agents, semantic execution platforms, or pseudonymous identity frameworks. Anchors coordinate within defined trust domains to ensure lineage continuity, dynamic rekeying, and semantic integrity across independently governed segments of a decentralized namespace.

The system and method for integrating consumer application software systems and data storage infrastructure relate to the field of information and communication technologies. The essence of the invention consists of the following essential features: a central computer station with a proxy server that checks the compliance of downloaded files with the declared data types and supports work with accounts; virtualization; dynamic aliases; a built-in macro filter; a hybrid infrastructure; custom Python at runtime; fault-tolerant Master-Master replication with Snapshot recovery; Deep Copy and integrity protection of Rich Text assets; A virtual S3 aggregator with dynamic permission mapping; system integration; and the use of a Copy-on-Write infrastructure. The objective of the invention is to create the most functional intelligent gateway between consumer applications and the physical storage infrastructure. The technical result is an increased level of security, dynamic transformation, and delivery of S3 gateway content.

The application provides a heterogeneous mixed-precision data processing method, system, device and storage medium. The method comprises the following steps: generating heterogeneous task description information; configuring precision conversion parameters of a direct data channel based on the heterogeneous task description information, and establishing address alias mapping between an acceleration processing unit and a vector execution unit; transmitting, through the address alias mapping, to-be-processed data in the vector execution unit to the acceleration processing unit for calculation and processing via the direct data channel; and performing, in the process of transmitting the to-be-processed data via the direct data channel, stream online precision conversion on the to-be-processed data according to the precision conversion parameters. The technical scheme can improve the data collaborative processing efficiency of different processors.

A system includes a plurality of memory resources and a plurality of processor resources configured to access the memory resources and execute a plurality of instructions to perform a plurality of operations. The operations generate an alias link through a web service, the alias link defining a first target link to a first target resource through a network, and insert the alias link within a network accessible resource. The operations further provide access to the first target resource through the alias link from within the network accessible resource and maintain the alias link in an unchanged state after the web service changes the alias link to define a second target link to a second target resource through the network.

The present disclosure provides a method of implementing a payment service for one or more clients for transactions associated with a distributed ledger, such as the Bitcoin blockchain. The method comprises providing an alias for a client, associating the alias with a network in a directory and providing a location for a host computing resource responsible for the payment service, wherein the host computing resource is configured to facilitate identification of the client associated with the alias. The present disclosure also provides a method comprising creating a machine readable resource in a location associated with the payment service, wherein the machine readable resource comprises an endpoint identifier for the payment service, an entry associated with at least one capability supported by the payment service, and instructions and / or a specification for accessing a public address for facilitating transactions associated with the alias. The present disclosure also discusses a method of implementing a simplified payment protocol for clients associated with the payment service.

This invention discloses a product identifier method based on encoding rules for automatic generation, belonging to the field of product identifier encoding management technology, and is used to solve the problems of encoding chaos and identification difficulties. This invention constructs a closed-loop encoding generation mechanism that covers attribute standardization, rule chain compilation, candidate generation, conflict verification, full lifecycle binding, and log traceability. This ensures that product identifiers have uniqueness, structural integrity, and business applicability during the generation stage. Then, semantic alignment is achieved through field dictionary and alias comparison. Candidate identifiers are dynamically generated by combining exclusive constraints and value domain verification. The availability and consistency of identifiers are ensured through pre-occupied number segments, mapping verification, and rule change sandbox exercises. The platform supports binding external identifiers and lifecycle objects, improving master data management efficiency and system collaboration capabilities.

The application discloses a Linux file safe deletion system based on time slice rotation and belongs to the technical field of file management. The technical problem to be solved is that the Linux system native deletion command directly deletes files, and no security buffer mechanism leads to the basic security problem that it is difficult to recover the misdeleted files. The technical solution points are as follows: a system setting command interception module, a time slice management module and a storage optimization module are arranged, an rm command is redirected through alias to migrate the to-be-deleted files to a time slice storage directory created by day, the whole directory cleaning is performed on the super-capacity recycle bin based on an LRU algorithm, a daemon process architecture is not adopted, and the implementation is completely based on Linux native tools, and no additional dependence is needed.

A method for facilitating permission-based cryptographic transactions across service providers includes: receiving a request including permission data and an identification value from a first computing system, the identification value being associated with a first blockchain wallet for a blockchain associated with a blockchain network; generating (1) a permission token based on the permission data and (2) an alias, the permission token including verified identity data points; transmitting the generated alias to the first computing system in response to the request; receiving a token request from a second computing system, the token request including the alias; and transmitting the generated permission token identification value to the second computing system in response to the token request.

This invention discloses a method and system for reconstructing Vue project file paths, belonging to the field of electronic document management technology. The method includes: creating a JavaScript file with a mapping between the old and new paths of Vue project files / folders; the JavaScript file outputs a JSON object, using the key value of the JSON object as the new path of the Vue project files / folders, and the corresponding value value as the old path of the Vue project files / folders; reading the complete old path of the target Vue project files / folders; generating a webpack alias object based on the JavaScript file and the complete old path of the target Vue project files / folders; configuring properties on the alias object to reconstruct the new path of the target Vue project files / folders, and redirecting the old path of the target Vue project files / folders to the new path. This invention effectively avoids problems such as accidental or missed modifications to global paths caused by modifying file reference paths.

This invention discloses a low-code, multi-position personalized digital workbench visualization configuration method. This method, centered on the job, builds job templates based on job parameter profiles within a workbench meta-model architecture, supports personalized overlays, uses semantic alias mapping for data binding and decoupling, and links alarm display and handling process configuration. The method includes the following steps: Step 1: Establish a workbench configuration baseline model of job—work target—equipment object domain—page skeleton; generate a job profile parameter set within the framework of the baseline model; Step 2: Construct an equipment object model; establish an equipment semantic dictionary based on the equipment object model; construct a mapping relationship table between the semantic dictionary and data points; and register the real data source for each semantic alias in the semantic dictionary.