191 results about "Directory structure" patented technology

The invention relates to the technical field of intelligent questioning and answering, in particular to a domain intelligent questioning and answering method and system based on a multi-modal knowledge graph and RAG, and the method comprises the steps: constructing a concept layer knowledge graph based on a directory structure of a domain multi-modal document, and constructing an instance layer knowledge graph based on document content; obtaining a user question, pruning and positioning the user question in combination with the concept layer knowledge graph and the thinking chain, and determining a target chapter; splitting the question into sub-questions through intention analysis, and performing semantic retrieval in the instance layer knowledge graph corresponding to the target chapter to obtain a graph retrieval result; optimizing the original problem based on the atlas retrieval result, and executing semantic retrieval in a vector database to obtain a vector retrieval result; and fusing the atlas retrieval result and the vector retrieval result to generate a preliminary answer, and performing iterative optimization until a final answer is generated. According to the method, the semantic coverage, the expression accuracy and the response efficiency of the vertical domain question-answering system are remarkably improved by constructing the multi-modal knowledge graph and optimizing the retrieval process.

The invention relates to a knowledge base construction method and device, computer equipment and a storage medium. The method comprises the following steps: performing directory structure extraction on a target document to obtain a directory structure tree; based on the directory structure tree, splitting the target document to obtain a plurality of knowledge blocks; when the label data does not exist in the target document, generating the label data corresponding to the target document based on a preset large language model and the abstract text of the target document; based on the label data of the at least one target document and the plurality of knowledge blocks, constructing a target knowledge base; the target knowledge base comprises a document tree composed of label data of the target document. By adopting the method, the retrieval efficiency and accuracy of the knowledge base can be improved.

The invention discloses a long document knowledge base construction method based on directory perception and a program product, and belongs to the field of artificial intelligence and natural language processing. According to the scheme, an original long document is sequentially subjected to preprocessing, directory structure analysis, mixed blocking, double-tag generation, tag intelligent optimization, vectorization and meta-information mounting, and finally automatic construction and high-quality retrieval enhancement generation of a knowledge base are achieved. According to the method, the semantic integrity is guaranteed by fully utilizing the perceptual ability of the directory structure, the label quality and the retrieval efficiency are improved by combining a double-label system and intelligent optimization circulation, and the construction efficiency, the retrieval accuracy and the result traceability of the knowledge base are remarkably improved; the method is suitable for intelligent processing and application of long complex structure documents such as academic specialities, technical documents, policies and regulations and the like.

The invention discloses a three-area three-line database automatic quality inspection evaluation method based on deep learning. The method comprises the following steps of S1, obtaining three-area three-line database data and performing preprocessing; s2, checking a directory structure and a file name of the original data set; s3, extracting spatial layer data from the hierarchical data set; s4, performing segmentation and attribute information extraction on various pattern spots in the layer data after spatial verification; s5, inputting the pattern spot relation characteristic data into an artificial fish swarm algorithm; s6, automatically comparing the pattern spot area and distribution data with a quality inspection standard preset in a three-area three-line database; and S7, performing parallel processing on an automatic comparison result through a multi-thread thread pool. According to the method, an artificial fish swarm algorithm, a relational attention network and a task allocation and thread pool management technology are combined, and three-area three-line database automatic quality inspection evaluation based on deep learning is realized.

The invention discloses a data space data directory transmission control method based on a digital contract, and the method comprises the steps: carrying out the abstract processing of a data directory in a data space into a standardized metadata model, and forming a tree directory structure; in response to the data directory transmission request, generating a digital contract instance based on an intelligent contract engine, and performing block chain anchoring binding on a digital contract and a target data directory node; analyzing a control strategy set in the digital contract through a contract interpreter; executing at least one of the following control situations in real time in the data transmission process: directory visibility control based on timeliness constraint, directory access chain control based on data blood relationship, directory content desensitization control based on sensitivity level and directory routing control based on transmission path credibility; and after directory transmission is completed, triggering verification logic in the digital contract, comparing the integrity hash value and the authority change record of the data directory before and after transmission, generating a verifiable auditing report, and storing the verifiable auditing report in the distributed account book.

The invention belongs to the technical field of medical information, and provides a standardized electronic medical record shared document automatic generation method and system, and the method comprises the steps: obtaining related specifications, constructing a document directory structure, and generating directory data; the method comprises the following steps: loading a pre-constructed standard data element dictionary and a local business system database structure, respectively analyzing the pre-constructed standard data element dictionary and the local business system database structure to obtain standard data elements and local fields, and establishing a mapping relationship between the standard data elements and the local fields through an intelligent matching algorithm to obtain a field mapping table; acquiring configuration information including node names, data types, whether the user must be filled or not and value ranges, and binding the configuration information with local fields to generate complete node configuration data; and generating a document template according to the node configuration data, generating a shared document file based on the basic information of the patient, the doctor-seeing record and the selected document template, and performing verification. According to the method, the full-process automation of the shared document from directory definition to content generation is realized, and the method has high efficiency, standard performance and intelligence.

The embodiment of the invention discloses a virtual file management method, system and device and a storage medium. According to the technical scheme provided by the embodiment of the invention, under the condition that the file request is received, the virtual path contained in the file request is extracted, the virtual path is created when the target file is generated, path classification is performed according to the module identifier of the associated target service module, and the target file is stored in the system path mapped by the virtual path. The system path is generated by mapping based on the virtual path and a pre-constructed mapping rule; mapping the virtual path into a corresponding system path based on a mapping rule; and accessing the target file based on the system path to execute a file operation corresponding to the file request. By means of the technical means, the situation that file directory structures of different service modules are disordered can be avoided, unified file management of the different service modules in the application is achieved, the file management efficiency of the different service modules is improved, the application service effect is improved, and therefore the user experience is improved.

Systems and methods are provided for creating a machine learning (ML) model staging repository, where ML models are stored as an open container image (OCI). The OCI comprises layers or portions of the complete ML model, so that the model can be stored separately and as a smaller files. The ML models may be pre-packaged for automated downloads and integration at the customer site. In some examples, the OCI can identify / store the model in a directory structure that defines the model and its profile. The OCI can comprise a combination of layers and profiles that allows the AI platform to optimize the storage and simplify the process of downloading or updating the given user namespace instead of downloading a single large file for the model.

The invention discloses a report generation agent method, system and device driven by a large language model and a medium, and the method comprises the steps: constructing an agent execution framework independent of a native interface, outputting a decision through a cue word constraint model in a JSON structure, and scheduling a local tool function; analyzing the reference data and constructing a local vector knowledge base supporting semantic retrieval; the intelligent agent autonomously plans and generates a report directory structure based on a local vector knowledge base, stores the report directory structure as a structured intermediate file as a persistent intermediate representation, generates chapter content in parallel by utilizing a concurrent flow control and exponential backoff retry mechanism and combining a mixed retrieval strategy, and serializes and updates the chapter content to the intermediate file in real time; and finally, converting the intermediate file into a target format report according to a mapping rule. The system, the equipment and the medium are used for implementing the method. According to the method, the efficiency and the accuracy of complex report generation are remarkably improved through agent whole-process autonomous driving and combination of persistent intermediate representation, retrieval enhancement and concurrency control technologies.

The invention discloses a construction method and device of an incremental upgrade patch, electronic equipment and a storage medium, and relates to the technical field of computers, a file list and a change type are extracted from a code submission record, difference comparison is performed on files of an original version and a target version based on the information to generate code difference data, and the code difference data are sent to a server; therefore, the problem that the upgrade package contains a large number of redundant codes or key change contents are omitted and the upgrade accuracy and reliability are affected due to the fact that only a file name or a directory structure is used as a change judgment basis in an existing incremental upgrade method can be solved; the technical effects of improving the accuracy and reliability of incremental upgrading and reducing upgrading package redundancy are achieved.

The invention provides a file transmission method, system and device based on wireless module communication and a medium, and belongs to the technical field of file transmission, and the method specifically comprises the steps that a handheld terminal broadcasts a device searching instruction after being started, and a nearby host end is searched; after receiving an equipment searching instruction of the handheld terminal, the host end returns related information; the handheld terminal lists all connectable devices for a user to select, and after the user selects a target host end, the handheld terminal requests a file list from the target host end; the host end returns a directory structure or a filename list of the host end to the handheld terminal, and a file transmission stage is entered; after receiving the file transmission request, the host side sends selected file fragments; and the handheld terminal stores the file after receiving the file. The system effectively overcomes the defects of traditional wired transmission and wireless transmission in the aspects of operation complexity, equipment pairing efficiency, transmission reliability and the like, and is suitable for industrial or commercial scene interaction requirements of queuing machines, handheld terminals and the like.

The invention relates to the technical field of databases, and discloses a database pre-synchronization implementation method and device, equipment, a medium and a product. The method comprises the steps of obtaining synchronization task configuration after a pre-synchronization process is started, and obtaining metadata corresponding to each to-be-synchronized table according to the synchronization task configuration; generating a file path corresponding to each to-be-synchronized table according to the metadata and a preset directory structure rule, and performing directional reading according to the file path to obtain a global event data file corresponding to each to-be-synchronized table; and according to the global event data file, obtaining a system change number corresponding to each to-be-synchronized table to complete database pre-synchronization. The accurate path positioning based on the metadata is adopted to replace full disk traversal, so that the disk input / output performance bottleneck can be avoided, the pre-synchronization efficiency can be improved, the pre-synchronization time consumption can be remarkably reduced, the normal operation of a database cluster can be prevented from being interfered, and the system stability can be improved.

The invention discloses a server cluster monitoring data processing method and device and a medium, and the method comprises the steps: scanning a target directory structure to analyze a directory name, and dynamically recognizing a server node address based on a predefined rule to generate server node list data; executing the data acquisition script on each server node to obtain original monitoring index data, and converting the original monitoring index data into a standardized monitoring data file; based on the historical processing record data and the characteristic value of the monitoring data file, whether the monitoring data file is a to-be-transmitted incremental file is judged through an incremental recognition algorithm, and if yes, the incremental file is transmitted to a central processing node based on a pre-constructed secure connection channel to execute transmission integrity verification, and transmission state data is generated; and performing standardization processing on the transmission state data, importing the processed to-be-imported data file into a target database, and comparing the number of records before and after importing to generate a data integrity report.

The invention provides an OCR (optical character recognition) engine-based bidding file flow bid information content extraction, positioning and analysis method. The method comprises the following steps of collection of bidding files: collecting document files participating in a bidding project; file analysis: aiming at different types of document files, adopting corresponding information extraction processing methods to obtain key information; bid invitation file flow bid item detection: bid invitation factor standard information in the bid invitation file is extracted, and bid invitation file flow bid item factors are positioned and extracted; the structure and the text of the bidding document are analyzed, the directory structure of the bidding document is extracted, and the flow bidding item of the bidding document is positioned; stream bid item analysis: analyzing stream bid items in the bid invitation file; and bidding document flow bidding item prompting: according to the comparison result of the flow bidding items, carrying out inconformity item prompting. The precision and accuracy of identifying the content of the scanned PDF document are improved, the workload of manual proofreading and correction is reduced, and the working efficiency is improved.

The invention belongs to the technical field of computer software and data processing, and provides a differential upgrading method for a compressed file, which is divided into a differential stage and a reduction stage: the differential stage: decompressing an original compressed package of a starting version and an original compressed package of a target version; unifying and standardizing file permissions for the two decompressed folders, and modifying, accessing and changing timestamps; re-compressing to generate a first new compressed file and a second new compressed file with byte-level certainty; generating a first difference file based on the difference between the standardized directory structure and the content; comparing the second new compressed file with the original compressed file of the target version, performing lossless analysis on the ZIP metadata, and performing structured modeling on difference information to generate a second difference file; in the reduction stage, standardization, first differential reduction, recompression and second differential driven metadata accurate reconstruction are sequentially executed, and a result completely consistent with the byte level of the original compressed file of the target version is output. According to the method, the differential compression ratio and the restoration fidelity can be improved.

The invention discloses a directory extraction method of a PDF, directory extraction equipment of the PDF and a medium, relates to the technical field of document directory recognition, and discloses the directory extraction method of the PDF, which comprises the following steps: extracting semantic information and a directory line structure of each directory line in a directory page; calculating a directory bar of each directory line based on the semantic information and the directory line structure; performing directory aggregation processing according to the directory bar corresponding to each directory line to obtain a target directory line; determining the directory hierarchy of each target directory row based on the directory row structure and the semantic information corresponding to the target directory row; and extracting a directory entity of each directory line according to the deep learning model, and outputting a structured directory corresponding to the directory page. According to the method, the actual catalogue category is calculated through the semantic information and the catalogue row structure, so that catalogue row aggregation processing is carried out based on the accurate category, the hierarchy of each catalogue row is determined, the logic consistency of the catalogue structure is ensured, and the catalogue extraction accuracy and extraction efficiency are improved.

The application provides a kind of enterprise product verification processing method, device, equipment and storage medium. It relates to resource management technical field. The method comprises: in response to product submission event, determine the submission piece related information of target product in product submission event;Submission piece related information includes the directory structure of target product and standard file under the directory structure. The standard file under the directory structure in submission piece related information is analyzed and processed to obtain analysis result information;Analysis result information includes product file and product directory information of target product. According to the preset scanning type, the preset scanning program corresponding to the scanning type is dispatched, and the product file and product directory information in analysis result information are scanned and verified to determine and output verification scanning report. The method of the application solves the problem of low verification efficiency of enterprise product.

The application discloses an interlocking simulation system and an interlocking simulation system application method, and belongs to the technical field of rail transit. The interlocking simulation system is applied to a JD-II type computer interlocking system, and comprises logic part simulation software, driving and sampling part simulation software and an API file. The logic part simulation software, the driving and sampling part simulation software and the API file are provided by a safety platform simulation system applied to the JD-II type computer interlocking system. A standard engineering directory structure template is a self template of the JD-II type computer interlocking system, and the logic part simulation software, the driving and sampling part simulation software and the API file are built in the standard engineering directory structure template. The interlocking simulation system can reduce development and design costs and improve test efficiency.

The invention discloses an entry translation method and device, a medium and equipment. The method comprises the steps that firstly, an Android source entry file is obtained and analyzed, all key value pairs in the Android source entry file are extracted, and the key value pairs are basic data of entry translation; then, the extracted key value pairs are translated through a preset external translation interface, and high efficiency and accuracy of translation are ensured. And after translation is completed, a target language resource file conforming to an Android internationalized directory structure is generated according to a translation result, and the structure enables the application to support multiple languages. Finally, format verification and grammar error correction processing are carried out on the generated target language resource file, the format verification comprises checking whether the initials of the English entries are capitalized or not, and the initials are converted into capitalized forms to conform to English grammar specifications; the grammar error correction relates to escape processing of placeholders and special characters so as to ensure the grammar correctness and compiling stability of resource files. And finally obtaining a high-quality source entry file translation result.

The invention discloses a vehicle end software process template generation method, system and device and a storage medium, and belongs to the technical field of computer software, and the vehicle end software process template generation method comprises the steps of obtaining a public code file and a process template configuration file; determining an engineering directory structure according to the process template configuration file, the public code file and a preset directory building algorithm; the project directory structure comprises a root directory and a project compiling script; determining a public basic code according to the root directory, the process template configuration file, the engineering compiling script and a preset code generation algorithm; and determining a process template according to the engineering directory structure and the public basic code. According to the method, the process template of the vehicle end software can be automatically generated according to the tool script and the configuration file, the repeated workload brought by public function development is reduced, and the software development efficiency is improved.

The invention discloses a Java decompiling method, device and equipment and a computer readable storage medium. The method comprises the following steps: extracting a class file, a resource file, a configuration file and a static resource by decompressing a Java deployment package; based on a predefined third-party library feature library, utilizing Hash comparison and package name / method signature feature matching to accurately classify the class file into a third-party library or a self-researched code; performing byte code analysis on the self-developed class file to generate structured data, and inputting the structured data into a customized large language model (based on byte code-source code parallel corpus training) to generate an initial source code; the optimization step comprises the steps of correcting errors by a static grammar checker and automatically supplementing annotations by a byte code constant pool; reconstructing a project directory structure based on the package name; a class dependency graph is generated through static call graph analysis; and finally, integrating the initial source code, the dependency graph and the configuration file, automatically generating an interface document, a framework document and a configuration document, and realizing complete reverse engineering of the deployment package.

This invention proposes an automatic fastener assembly method and system based on UG secondary development, comprising: a construction step: creating a 3D model library of national standard fasteners containing national standard code attributes, and generating a configuration file associated with the model library that conforms to the UG reuse library calling specification; an integration step: deploying the national standard fastener 3D model library and the configuration file to the reuse library directory structure of the UG software, and modifying the UG software's library configuration file to enable the UG software to recognize and call the national standard fastener 3D model library; and an automatic assembly step: in the UG software environment, responding to assembly commands, automatically matching the corresponding national standard fastener model from the integrated national standard fastener 3D model library based on the specification parameters of the holes to be assembled, and driving the UG software to complete the assembly. This invention, by deeply integrating the national standard fastener library into the UG reuse library, allows engineers to directly call models with national standard codes and complete automatic assembly with one click, completely eliminating errors from manual querying and selection, and significantly improving assembly efficiency and design data accuracy.

The application relates to an RPA process design system based on a VS Code plug-in and belongs to the technical field of process automation. The system comprises a text editing module, a graphical parameter configuration module, an engineering management module and an execution adaptation module. The text editing module loads preset instruction libraries and method signature libraries, receives structured instructions, performs format checking and parameter completion, analyzes and generates a memory instruction sequence list; the graphical parameter configuration module listens to the instruction selection state, generates a parameter form, verifies the validity of input parameters, generates instruction-parameter data and stores the data into a to-be-processed data pool; the engineering management module generates a standard directory structure, performs version control and conflict detection; and the execution adaptation module extracts data and converts the data into an executable script and performs verification. The system can efficiently realize the design, management and execution of an RPA process, and improves the convenience and accuracy of robot process automation design.

The embodiment of the invention relates to a multi-system AI repository controller. Systems and methods are provided for creating a hierarchical repository of machine learning (ML) models in which ML models are stored as open container images (OCIs). The OCI includes a layer or portion of a complete ML model so that the model can be stored separately and as a smaller file. The ML model may be pre-packed for automated downloading and integration at the customer site. In some examples, the OCI may identify / store the model in a directory structure defining the model and its configuration files. The OCI may include a combination of layers and configuration files that allow the AI platform to optimize storage and simplify the process of downloading or updating a given user namespace rather than downloading a single large file for the model.

The invention discloses an industrial metadata storage method and a multi-system transaction consistency guaranteeing method, and relates to the field of industrial data management.The industrial metadata storage method comprises the steps that a respective JSON file is created for each element needing to be managed in an industrial scene, metadata used for defining the basic attribute of each element is stored in the respective JSON file of each element; according to the set membership among the elements, a file system catalog structure is created, one catalog in the file system catalog structure corresponds to one element, the catalog name is the element name, the upper layer catalog represents a parent element, and the lower layer catalog contained in the upper layer catalog represents a child element of the parent element; and respectively putting the JSON file of each element into a directory corresponding to each element to form a file system of element metadata. When the elements and the metadata of the elements are newly added, only the folder needs to be newly created for the newly added elements at the proper position, other configurations do not need to be changed, and expansibility is good.

This invention proposes an annotation file system, device, and storage medium. The annotation file system adds annotations to files for file management. The annotation file system manages annotations within the system and includes: a file module for managing and allocating disk block information and inodes used by files; a tagging module for adding annotations to files and their descriptions; a storage module for storing the tagged information on disk; a file operation module for handling CRUD operations on file content and descriptions; and an annotation operation module for handling CRUD operations on data tags. This invention associates files and their descriptions by first having files and their descriptions, then adding annotations to them. It transforms directory structure information into data and uses a database approach to manage files, improving file query efficiency and unifying the file system and database system.

The invention relates to a test case management method and device, electronic equipment and a readable medium, and the method comprises the steps: building a new target view, and constructing a directory structure table and a case change table for the target view; monitoring database change of the target view, and updating a directory structure table and a use case change table according to the database change; displaying the updated directory structure table and the use case change table on a use case management interface; under the condition that a first trigger operation of a target object on the use case management interface is detected, a target change record of a target use case corresponding to the first trigger operation is displayed on the use case management interface, and the change type of the target use case is use case modification and / or use case movement; and under the condition that a second trigger operation of the target object on the use case management interface is detected, merging the target view into the use case library. The problem of how to avoid the merging conflict between the view and the use case library is solved.

A portable file system structure that uses NFTs allows access to information regarding a directory structure using one or more directory NFTs. This may be used to view and / or modify the directory structure via one or more front ends. Access to one or more of the files themselves, and or decryption of encrypted content, may be obtained via one or more access NFTs, one-time passwords, and / or other authorization mechanisms. The files themselves may be stored in one or more different storage locations, such as cloud storage. The storage locations may be changed independently of the front end, and a front end associated with the directory structure may be de-associated so that another front end may be associated and then used to view and / or modify the directory structure.

Embodiments of the present application provide a webpage file processing method and device, the method is applied to a client, and comprises the following steps: obtaining a packaging file, mapping information and customized information of a target webpage; wherein the packaging file is obtained by packaging a plurality of code files of the target webpage by a server, the mapping information comprises a mapping relationship between each code segment in the packaging file and a first path, and the customized information comprises a second path; for any code segment in the packaging file, after running the code segment, the first path of the code segment is matched with the second path in the customized information; and based on a matching result, it is determined whether to replace a running result of the code segment. Through packaging processing, the opening speed of the webpage is improved; through dynamic replacement of the running result at runtime, the directory structure is not affected by damage, the customized demand is met at the same time on the premise of improving the performance of the webpage.

A computer-implemented system for providing context to artificial intelligence agents (AI agents), wherein the system comprises: (a) one or more processors and a memory for storing instructions; (b) a repository manager trained to access one or more version-controlled context repositories containing human-readable context elements arranged in a hierarchical directory structure; (c) a manifest navigator trained to read one or more manifest files stored in the context repositories, wherein the manifest files describe the contents of directories and contain navigation references to subdirectories or context elements;(d) a context assembly engine trained to hierarchically traverse the manifest files in response to a task request, to select and load a limited set of context elements under a context budget, and to form a context bundle; and (e) an interface to a generative AI model trained to pass the context bundle as conditioning input to a machine learning model to produce an output for the task request; the system further comprising a version history module trained to record updates to the context repositories as so-called commits, including commit metadata that enables provenance or trajectory analysis.