128 results about "Directory structure" patented technology

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 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 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 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 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.

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.

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.

The invention relates to the field of computer software, and discloses a marine environment electronic book generation method and system.The marine environment electronic book generation method comprises the steps that book setting information, a marine environment atlas, an output path, cover information and file setting information input by a user are received; generating a tree-shaped chapter structure according to the physical hierarchical structures of the folders, and generating directory information of the electronic book according to the chapter structure; after a conversion starting instruction input by a user is received, the original marine environment picture is processed, and a marine environment electronic book is generated in combination with cover information, book setting information and file setting information; and writing the generated marine environment electronic book into an output path. According to the technical scheme, the manual intervention time is shortened, the working efficiency is improved, the error rate caused by subjectivity is reduced, and the directory structure better meets the display requirements of professional documents.

The application provides an artificial intelligence-based automatic testing method and device, electronic equipment and storage medium. The artificial intelligence-based automatic testing method comprises the following steps: constructing a data system to be tested on a test platform according to a preset document, wherein the preset document comprises a scheduling document and a deployment document; obtaining a structure specification index by comparing the deployment document and the directory structure of the data system to be tested; constructing a program specification index based on the scheduling document and the data system; calculating the confidence of the structure specification index and the program specification index to obtain the data system specification index; and evaluating the data system to be tested based on the data system specification index to obtain a test result. The method can calculate the structure specification and the program specification of the data system respectively, and calculate the specification index of the data system according to the confidence of the structure specification and the program specification, thereby improving the accuracy of the data system test result.

The application relates to the technical field of data processing, and discloses a hybrid breadth-first and depth-first traversal backup method and device, which comprises the following steps: acquiring a maximum depth value and a concurrency control threshold value, determining a first backup list and a directory to be backed up according to the maximum depth value, and determining a second backup list according to the concurrency control threshold value; and calling a file processing callback function to back up each file in the backup list. Through the above method, the maximum depth value and the concurrency control threshold value are pre-configured, and the directory structure characteristics of different business scenarios are adjusted. According to the configuration parameters, the breadth-first traversal and the depth-first traversal are switched, the breadth-first traversal is preferentially used when the directory structure is detected to be relatively flat, and the depth-first traversal is automatically switched when a nested structure is encountered to perform in-depth traversal. The application can be applied to the business fields of financial technology, medical health and old-age care, and the efficiency of data backup of a data management system is improved.

This invention relates to the field of intelligent document processing technology, specifically disclosing a method and system for identifying and verifying the directory hierarchy of tender documents based on deep learning. The invention obtains first directory information and second directory text information, performs hierarchical identification on the second directory text information using a deep learning model to obtain the second directory information; extracts hierarchical node features based on the first and second directory information respectively, constructs a joint matching alignment mechanism through node features, and outputs directory matching pairs; executes a multi-category anomaly classification and detection strategy based on the second-level directory matching pairs to determine the category of directory anomalies, and assesses whether manual intervention is needed by statistically analyzing the number of multi-category directory anomalies; and performs difference merging and correction on the second directory information based on the multi-category directory anomaly types to output the final directory information. This invention can improve the efficiency of tender document preparation and enhance the consistency and standardization of the directory structure.

The invention provides a configuration file management method and device of a front-end project, front-end equipment and an energy management system, and belongs to the field of file management. The method comprises the following steps: creating a configuration file directory under a root directory of a project; classifying the configuration files according to tool types, and storing the configuration files belonging to the same tool type in the same subdirectory under the configuration file directory; when the configuration file needs to be loaded, intercepting a configuration file request based on the Vite plug-in, and determining a to-be-loaded configuration file based on the configuration file request; and positioning the position of the to-be-loaded configuration file, and completing the loading of the configuration file based on the position of the to-be-loaded configuration file. The project directory is simple and clear in structure and high in readability; and the configuration files are grouped according to tool types, positioning and maintenance are easy, the maintenance cost can be reduced, meanwhile, extension is easy, and automatic loading of the configuration files after path adjustment can be achieved based on a Vite plug-in.

A first cluster creates a cluster exchange object including identifiers of components of the first cluster and segments of data of the first cluster along with configuration data, such as access points and credentials. The first cluster transmits the object to a second cluster that instantiates copies of the components and retrieves the segments from the first cluster to become a replica of the second cluster. The second cluster may then commence execution upon failure of the primary cluster and restore the primary cluster. The primary cluster may send snapshot objects to the second cluster to communicate changes to the primary cluster and the snapshot objects may also be used to restore the primary cluster following failure. The components of a cluster may be represented in a directory structure and data describing a component may be retrieved in response to user interactions with a representation of the directory structure.

This application discloses a method and system for intelligent page number indexing of bidding content based on a large language model, relating to the field of computer data processing technology. The method includes: extracting structured review item information from the bidding documents; extracting text from each page of the bidding documents according to document type to generate a structured text set; extracting the title information of each page; establishing a correspondence between each title and physical page number based on their physical page number position in the bidding documents to obtain the document directory structure; inputting the structured review item information and the document directory structure into a pre-trained first large language model to establish a mapping relationship and obtain the confidence score of the mapping relationship; and obtaining the page number indexing result of the bidding content, including the physical page number range and the confidence score of the mapping relationship. This solves the technical problems of low efficiency, inaccurate page number positioning, and severe failure of traditional keyword mapping methods in existing technologies.

The application discloses a storage method and device for digital twin platform distributed simulation and a medium, and the method comprises the following steps: generating data through a digital twin platform distributed simulation system; recording the data of communication through a communication transfer station, and opening a communication library data consumption port to a database storage process for consumption; binding a subscriber and a publisher of a command system to a network port specified by the communication transfer station; binding a database storage node to a transfer port of the communication transfer station; connecting the publisher of the communication transfer station through the subscription of a specified network address and a network port by a dynamics calculation storage node and an agent calculation storage node; and issuing a storage command through the command system, so that the database storage node, the dynamics calculation storage node and the agent calculation storage node perform storage operations according to respective storage logics after receiving the command. The application has the advantages of high real-time, universality, scalability, diversified storage forms, multi-level directory structure and small time cost.

The application provides a file processing device method and device in an embedded system, electronic equipment and a computer readable storage medium, comprising: obtaining an additional directory, a first target file and a first archive file; the directory structure of the additional directory is consistent with that of the first archive file; the first archive file is an archive file corresponding to a first root file system; the first root file system is a component connecting a kernel and an application program in the embedded system; the first target file is added under the additional directory; according to a preset script, the directory structure of the additional directory and the first target file are appended to the end of the first archive file to obtain a second archive file; and the first root file system is updated according to the second archive file to obtain a second root file system. The application embodiment can directly append the file to be added to the end of the first archive file, without full unpacking and repacking, thereby improving the development iteration speed and the debugging efficiency.

This invention relates to an automated method and medium for generating supervised fine-tuning corpora based on dynamic directory trees. The method includes: acquiring the parsed original document, dividing it using a multi-granularity semantic segmentation method to obtain multiple location blocks, and assigning a globally unique identifier to each location block; based on the location blocks and their identifiers, using a large language model to parse the content of each location block, generating a multi-level directory structure mapping its inherent knowledge logic, and constructing a dynamic directory tree; acquiring a preset questioning strategy, selecting target nodes from the dynamic directory tree, and progressively generating questions and answers based on the target nodes to form question-answer pairs, which serve as supervised fine-tuning corpora. Simultaneously, during the answer generation process, a dynamic extended context strategy and a structured thought chain are used to guide answer generation, completing the automatic corpus generation process. Compared with existing technologies, this invention has the advantages of efficiently and automatically producing high-quality supervised fine-tuning corpora supporting multi-hop reasoning.

The embodiment of the invention provides a method and device for displaying a file directory structure in a compressed package, and relates to the technical field of computers. According to the method, in response to a preview instruction for a target compressed package file, a display position of a current preview window of a resource manager is obtained, and a compressed package display window is created based on the display position. And reading the preview object from the target compressed package file by using a decompression tool, and loading the in-package file information to the compressed package display window based on the file directory structure, so that the in-package file information is displayed in the compressed package display window in a tree structure corresponding to the file directory structure. According to the method, the compression package display window can be created according to the current preview window of the resource manager, and the file information in the package is displayed by the tree structure corresponding to the file directory structure, so that the file and the file directory structure in the target compression package file are visually displayed, and the user experience is improved.

A first cluster creates a cluster exchange object including identifiers of components of the first cluster and segments of data of the first cluster along with configuration data, such as access points and credentials. The first cluster transmits the object to a second cluster that instantiates copies of the components and retrieves the segments from the first cluster to become a replica of the second cluster. The second cluster may then commence execution upon failure of the primary cluster and restore the primary cluster. The primary cluster may send snapshot objects to the second cluster to communicate changes to the primary cluster and the snapshot objects may also be used to restore the primary cluster following failure. The components of a cluster may be represented in a directory structure and data describing a component may be retrieved in response to user interactions with a representation of the directory structure.

The invention discloses an enterprise official website front-end automatic construction system based on Gulp.js, and belongs to the field of front-end engineering. According to the system, full-process automation from development to deployment is realized through a standardized directory structure, a configurable Gulp task chain and multi-environment process arrangement. The core value of the system is that manual operation is replaced by an automatic task, and the development efficiency and standardization are improved; through resource merging, compression and optimization, HTTP requests and file volumes are significantly reduced, and page loading performance is improved; hot reloading, grammar translation and style prefix automatic adding are integrated, development experience is optimized, and cross-browser compatibility is ensured; by means of the modular design, the system has good expansibility and can flexibly adapt to requirements of projects of different scales. The system provides an efficient, stable and maintainable engineering solution for an enterprise official website.

The invention relates to an SIM card file structure integrity detection method and system, a processing device and a storage medium, and the method comprises the steps: analyzing the directory structure of each file in a to-be-detected SIM card, recognizing the access authority and data volume of each file in the to-be-detected SIM card, and determining the type and task weight of each file in the to-be-detected SIM card; a two-stage thread pool framework is adopted, and a corresponding detection task is executed; performing asynchronous comparison and difference analysis on the content, directory structure and parameter value of each file in the SIM card to be detected after analysis and execution of the detection task with a preset standard template library, and generating a difference report corresponding to each file in the SIM card to be detected; integrating all the generated difference reports, and if there is no emergency difference or important difference in the difference reports corresponding to the files of the core task group and the parameter task group in the SIM card to be tested, determining that the file structure of the SIM card to be tested is complete; the intelligent card quality detection method and the intelligent card quality detection device can be widely applied to the technical field of intelligent card quality detection.

This invention provides a method for detecting blade tip defects in offshore wind turbines based on a Mobile JAM network, belonging to the fields of deep learning and computer vision. The method includes: creating a standardized dataset directory structure; visually annotating the original offshore wind turbine blade images while removing special characters from image file names; dividing the annotated data into training, validation, and test sets according to a preset ratio; capturing positive sample images of blade tip defects and extracting defect region patches; using data augmentation techniques to randomly transform the defect region patches and paste them onto the background image; building a Mobile JAM detection model architecture; optimizing the network training; real-time monitoring and adjustment during training; and performing blade tip defect detection on new input images. This method can achieve accurate detection of blade tip defects in offshore wind turbines even with few target sample categories, and has good application prospects in areas such as fine-grained detection of blade tip defects.

The application provides a SystemC-based virtual model generation method, system, medium and equipment, the method comprises the following steps: receiving the name of a hardware module input by a user, and executing a first script based on the hardware module to generate a model directory structure; receiving a register description file input by the user, and parsing the register description file through a second script to generate a SystemC-based register model in the model directory structure; executing a third script to generate a source code file of a virtual model of the hardware module in the model directory structure based on the register model; receiving custom function information for the hardware module added by the user on the source code file to obtain a virtual model implementing the custom function. The application greatly shortens the development time of the virtual model of the hardware module.