721 results about "File format" patented technology

Some embodiments of a method may include: obtaining Avatar JSON Interchange File (AJIF) data; decoding the AJIF data to generate avatar data; obtaining animation parameters from the avatar data; obtaining user movement data corresponding to a movement of a user; generating updated avatar data based on the user movement data; and sending the updated avatar data to a client device. For some embodiments, a method may include: generating Avatar JSON Interchange File (AJIF) data corresponding to an avatar; sending, to an application server, the AJIF data; obtaining user movement data corresponding to a movement of a user; sending, to the application server, the user movement data corresponding to the movement of the user; receiving, from the application server, scene update data, wherein the scene update data includes updated avatar data corresponding to the movement of the user; and rendering a scene update based on the scene update data.

The invention relates to a method and a device for generating software based on a large model technology, a medium and electronic equipment, and relates to the technical field of software generation, and the method comprises the following steps: acquiring demand information of a user for software generation; generating a configuration definition file corresponding to the large model generation demand information through a preset code, wherein the configuration definition file is a configuration file of a domain-specific language definition device; performing regular format reformatting processing on the configuration definition file to obtain a processed file; based on the processed file, determining a service flow logic corresponding to a service function in the to-be-generated software, and based on the service flow logic, generating a target software code corresponding to the to-be-generated software through a code generation large model, the format of the target software code being a configuration file format of the domain-specific language definition device; and based on the target software code, through a preset rendering engine, generating a front-end page and a rear-end page of the software needing to be generated. The method has the effect of improving the software development efficiency.

The invention discloses a small file distributed high-concurrency aggregation storage method and system, and the method comprises the steps: collecting performance index data, and transmitting the data to a resource coordination server; calculating a queuing rate; determining a target server according to the queuing rate, the file reading concurrency and the disk residual space; determining a first-level directory hash value; selecting a first-level storage directory and a second-level storage directory according to the first-level directory hash value; creating a target aggregation file in the secondary storage directory, generating a 2-byte file format field according to the compression identifier or the non-compression identifier, and generating a 4-byte file length field according to the size of the to-be-written file; writing the file format field, the file length field and the to-be-written file into a target aggregation file in sequence, and recording the initial offset of writing; and generating a file name containing the storage position information, and returning the file name to the client. According to the invention, the efficiency and effect of small file storage are optimized.

Providing unified storage for event streams in an anomaly detection framework, including: receiving, by an event streaming platform, first event data encoded in a first file format; converting, by the event streaming platform, the first event data into second event data encoded in a second file format for storage in a first remote storage system; and providing, to the first remote storage system, a command to load the second event data into the first remote storage system.

The invention provides a multi-class business data importing method and device, electronic equipment and a storage medium, and is suitable for the fields of financial science and technology and medical services. The method comprises the steps of obtaining a business data import request, a corresponding business data file and a target data table; analyzing the business data file to obtain a business file format, and determining a target analysis rule in a preset analysis rule base; performing field analysis on the business data file based on the target analysis rule to obtain multiple pieces of data field information; for each piece of data field information, matching the data field information with each piece of target field information to determine an import mapping relationship between each piece of data field information and the target field information; performing structured splitting on the business data file according to the target analysis rule to obtain structured business data; and importing the structured business data into the target data table according to the importing mapping relation. The method and the device can improve the efficiency of importing multiple types of business data into the database.

Methods and systems for generating a sharable model splice of a digital engineering (DE) model are provided. The method comprises receiving a DE model file in a native file format; extracting model data; storing the model data in a storage area; generating external, commonly-accessible splice functions that enable external access to digital artifacts derived from the model data; and generating the sharable model splice, which comprises access to a selective portion of the digital artifacts, and access to at least one of the splice functions. The splice functions provide addressable API or SDK endpoints that enable access by third-party applications and users to the digital artifacts without access to an entirety of the DE model file and without requiring direct engagement with a DE tool associated with the DE model type. These endpoints also provide a unified programming interface to sharable model splices generated from DE models.

The invention provides a file uploading attack interception method based on semantic entropy enhancement, and aims at overcoming the defects of an existing file uploading security protection technology in the face of complex attacks. The method specifically comprises the steps that S1, file format analysis and content extraction are conducted, hidden scripts are mined through nested content recognition, and intermediate representation is generated through grammar cleaning and coding specifications; s2, constructing an abstract syntax tree and semantic entropy calculation, tracking a pollution chain, analyzing a high-risk function, identifying a high-entropy character string, modeling and controlling flow complexity, and generating a semantic entropy vector; s3, dynamic scoring and decision making are carried out, and accurate judgment is carried out in combination with white list perception, feature comparison, multi-modal model scoring, adaptive threshold and sandbox observation; and S4, carrying out real-time interception and feature synchronization, blocking malicious file landing, generating an attack log and synchronizing an attack fingerprint. The method takes the semantic entropy vector as a core, breaks through the limitation of static features, remarkably improves the recognition rate of complex attacks, reduces missed judgment, and guarantees the safety of Web applications.

The invention provides a lightning proximity prediction method based on a space-time separation convolutional neural network. The method comprises the following steps: S1, acquiring satellite infrared brightness temperature observation data and lightning positioning data; s2, performing spatial resolution adjustment and standardization processing on the satellite infrared brightness temperature observation data; gridding and de-noising processing is carried out on the lightning positioning data; s3, defining a prediction task; s4, establishing a space-time sequence prediction model; based on the processed data, storing the processed data in a numpy file format according to a time point sequence, dividing the processed data into a training set, a verification set and a test set, and loading the training set, the verification set and the test set to a space-time sequence prediction model for model training to obtain an optimization model; and based on the prediction task, using the optimization model to carry out lightning approaching prediction to obtain lightning prediction data. According to the method, the development of cumulus cloud is captured by using satellite infrared brightness temperature observation data and brightness temperature difference data, so that the problem that thunder and lightning inception cannot be effectively predicted is solved.

The invention discloses a graphical user interface test case generation method based on a multi-agent framework, and relates to the field of graphical user interface tests.The graphical user interface test case generation method based on the multi-agent framework comprises the following steps that S1, a user demand document is obtained, and file text content and file format information are analyzed and extracted; s2, performing paragraph segmentation on the file text content to form logic semantic units; s3, carrying out correlation analysis on the segmented paragraphs, and obtaining a ternary file group; s4, performing paragraph annotation addition on the ternary file group, and constructing a semantic annotation result set; s5, extracting the agent framework to generate a graphical user interface test case, performing test recording, and storing a test result; s6, the result is verified, and a test case list and a software test report are generated. By conducting multi-dimensional analysis on the text content and the format structure in the document, the reduction efficiency from natural language description to structural semantic construction is improved.

A system and method for compression performs analysis of incoming audio or video data, and selects a manifold based on the analysis of the data. A deep learning model is then trained for the manifold. The data is broken down into components and entropy maximization algorithms are utilized for each component before compression commences. Finally, the system translates the compressed data into a standard file format.

A system and method for compression performs analysis of incoming audio or video data, and selects a manifold based on the analysis of the data. A deep learning model is then trained for the manifold. The data is broken down into components and entropy maximization algorithms are utilized for each component before compression commences. Finally, the system translates the compressed data into a standard file format.

Computer implemented systems and methods are disclosed for importing data from electronic data files. In accordance with some embodiments, a file format is assigned to a source electronic data files by a data importation system. The data importation system may further identify a file type identifier associated with the source electronic data file and map the source electronic data file to a transformation template. The data importation system may further store the file format, file type identifier, and an indication of the transformation template as a file type profile associated with the source electronic data file in a database.

A system and method includes connecting an interface device to a port of a vehicle to be in communication with an electrical system of the vehicle for monitoring the vehicle, and running a selected one of multiple available calibration and / or repair programs via the interface device to generate a calibration / repair data file of the vehicle, where the data / log file is generated in one of a plurality of possible native file formats. A report generation tool acquires screen captures and / or screen recordings to document the data / information displayed during the steps of a calibration / repair procedure. An evaluation tool extracts calibration / repair data from the data / log file, where the evaluation tool is configured to extract calibration / repair diagnostic data from data / log files in each of the plurality of possible native file formats, and outputs the calibration / repair diagnostic data to a database in a common format from which detailed calibration / repair diagnostic reports are generated.

Methods and systems for generating a sharable model splice of a digital engineering (DE) model are provided. The method comprises receiving a DE model file in a native file format; extracting model data; storing the model data in a storage area; generating external, commonly-accessible splice functions that enable external access to digital artifacts derived from the model data; and generating the sharable model splice, which comprises access to a selective portion of the digital artifacts, and access to at least one of the splice functions. The splice functions provide addressable API or SDK endpoints that enable access by third-party applications and users to the digital artifacts without access to an entirety of the DE model file and without requiring direct engagement with a DE tool associated with the DE model type. These endpoints also provide a unified programming interface to sharable model splices generated from DE models.

The invention discloses a behavior tree code automatic generation method based on a large language model. The method comprises the following steps: 1, acquiring a behavior tree model of an XML file format defined by a user and prompt information input by the user; 2, analyzing the obtained XML file, and providing a generation rule of a behavior tree code; step 3; the analyzed XML file and prompt information input by a user are combined with a behavior tree code generation rule, and a task specific prompt is generated; 4, combining the task specific prompt with the general code generation prompt to generate a complete prompt; 5, a proper LLM is selected, complete prompt information is input, and the LLM generates codes according to prompts; 6, running the generated code in a safe environment to ensure the safety of the code and the correctness of an output format; and 7, displaying an execution result on a visual interface, auditing the result by a user, and modifying a generated code. The method has the characteristics of high universality, high flexibility and high interpretability.

The invention relates to the field of computer software, in particular to an IPFS-based file control method and device, equipment and a medium, and the method comprises the steps: receiving a file uploading request initiated by a user through a front-end interface; basic information of the file is read, a file format is confirmed, and the file format and a preset type list are verified; performing security and integrity verification on the files passing the verification; if the verification is passed, uploading the file to an IPFS network, and obtaining a hash string returned by the IPFS as a file identifier; constructing an encrypted access URL of the file based on the server address and the hash string, and storing file metadata to a database; and receiving a file access request initiated by a user through the URL, decrypting the URL and verifying the user permission, retrieving the file from the IPFS network according to the hash string, and providing a preview or download service according to the file type. And uploading of file types which do not meet requirements is effectively avoided, and potential safety risks are reduced.

The invention discloses an AI large model-based public data classification and grading identification method, which comprises the following steps of: S1) pre-analyzing a supported file format by adopting a file analysis engine to form a classification and grading standard file; s2) the large model base adopts an enhanced retrieval generation process, and a data classification and grading database is established; s3) inputting an original data table and unstructured data, and completing initial data summarization of the large model; s4) adopting Few-Shot to learn successful classification cases memorized for a long time, and performing large model question and answer; and S5) based on all possible large model question and answer classification results, the large model engine performs automatic question and answer again, autonomous reflection is performed based on a first round of intelligent classification result, and a new data classification result and classification confidence are determined again. According to the method, the recognition accuracy can be greatly improved, and the problems of low accuracy, low efficiency, many human errors, poor adaptability and the like in a traditional data classification and grading method are solved.

The invention discloses a method and a device for testing a diagnosis fault code of a controller area network, and relates to the technical field of automobile electronic diagnosis, and the method for testing the diagnosis fault code of the controller area network comprises the steps: obtaining a database file and test configuration information of the controller area network; generating message records of all verification messages according to the test configuration information and the controller local area network database file; sorting the message records according to time, and generating a message record file according to a preset file format; playing back the message recording file through a controller local area network tool, and sending a diagnosis request message to the tested controller through the controller local area network tool while playing back the data to obtain a diagnosis fault code; and comparing the diagnosis fault code with a preset expected diagnosis fault code to obtain a test result. According to the method, the automation degree and the real-time performance of the test are improved, the dependence on physical hardware and environmental resources is reduced, and the test cost and the technical threshold are reduced.

The invention provides a cross-platform collaborative loading method for CAD drawings, and relates to the technical field of data processing.The cross-platform collaborative loading method comprises the steps that rasterization layering processing is conducted on an original CAD file on a central platform, and a multi-stage grid tile set is obtained; storing to a temporary storage unit by adopting a pyramid hierarchical index; acquiring an updated view state by monitoring a user interaction event in real time, and comparing the updated view state with the original CAD file to obtain view parameters; extracting a target grid tile set; converting into a neutral exchange format set; according to the format support features, scheduling the container format conversion service, and compatibly distributing the container format conversion service to M edge platforms; and performing synchronous rendering replacement of the cross-platform tile file according to the M role permissions. The technical problems that in the prior art, due to the fact that effective CAD file format compatibility processing is lacked, tedious data conversion needs to be carried out among all platforms, and then the accuracy and reliability of data are reduced are solved.

The embodiment of the invention provides a file migration method, a storage medium and an electronic device, and the method comprises the steps that a target table is created according to basic information of a source table, and the source table and the target table support different stored file formats; under the condition that the file in the source table is migrated to the target table, a target conversion parameter value is determined in a target mapping relation according to the data size of the file to be migrated, and the corresponding relation between the data size of the file migrated within the historical time range and the conversion parameter value is recorded in the target mapping relation; and performing format conversion on a to-be-migrated file through the target conversion parameter value, and migrating the to-be-migrated file after format conversion to the target table. Therefore, the problem that the file cannot be automatically migrated due to different parameter settings required by file migration of each table in the related technology is solved, and the effect of improving the file migration efficiency is achieved.

The invention provides an integrated circuit model verification method and system, computer equipment and a storage medium. The method comprises the steps that parameters in a model library are analyzed through a script, and model parameters needed by verification are automatically extracted; a standard configuration file format is obtained, the model parameters are loaded into a standard configuration file, and a simulation configuration file is generated; obtaining netlist file formats required by different simulators, and generating netlist files which comprise output instructions and are adaptive to different simulators in batches according to the simulation configuration file; calling each simulator to execute the corresponding netlist file for simulation, and outputting an intermediate file; analyzing the numerical data in the intermediate file, and generating a standard format file; and comparing the standard format files generated by different simulators to obtain a verification result. According to the scheme, batch parameter configuration, netlist generation, simulation execution and result processing of the integrated circuit model can be realized, so that the model verification efficiency is improved.

A language independent optical character recognition process (LIOP) is disclosed. The LIOP detects text in one or more tables in a document, where the document is language dependent. Structural information for each table is determined and the text is extracted from the table(s). The document is converted into a first file format, where the first file format is a structured file format. The document in the first file format is language independent.

Systems, methods, and instrumentalities are disclosed for signaling parameter sets for geometry-based point cloud streams. In example, a device may receive an international organization for standardization base media file format (ISOBMFF) file. The ISOBMFF file may include geometry-based point cloud compression (G-PCC) data that is carried using one or more tracks with sample group description information and sample to group box information. The sample group description information may indicate grouping type information and a plurality of sample group description entries indicating geometry-based volumetric or point cloud parameter set information. The sample to group box information may include one or more sample to group box entries, each with a plurality of entry parameters comprising: the grouping type information, a grouping type parameter, and a sample group description index.

The present invention relates to a computer file format for documents with a graphically formatted content, e.g. desktop publishing documents, presentation documents, spreadsheet documents and form documents, comprising at least a portable document and a document description specification both unambiguously describing the graphically formatted content viewable on a computer, and to a computer implemented method for such documents. The portable document containing information necessary for unambiguously viewing the content of the graphically formatted document on any computer, the document description specification containing information necessary for, using a task specific computer program, unambiguously viewing the content of the graphically formatted document on a computer. The portable document further contains embedded information for allowing the document description specification to be unambiguously extracted from the portable document so that the graphically formatted document can be viewed on an ordinary computer with a portable document viewer, and the document description specification can be viewed and edited on an ordinary computer using said task specific computer program.

A supporting program for a printer, when executed by a controller of an information processing device, causes the information processing device connectable to the printer, in a case where the supporting program receives, from a universal printing program, intermediate data representing an image to be printed based on a print instruction in response to the universal printing program receiving the print instruction from an application program, to obtain image data in a specific file format different from a file format of the intermediate data, store the image data in the specific file format in a predetermined storage area, and cause the printer to print the image to be printed based on the intermediate data.

The invention relates to the technical field of project cost, in particular to a water conservancy and hydropower project cost achievement quality inspection method and device based on VSTO. Preprocessing the cost achievement document in the Excel format to form a file in which a bill of quantity, a project unit price and a basic price are associated with each other; performing quality inspection on the file formed after preprocessing, wherein the quality inspection comprises form inspection, rule inspection, unit price inspection and index inspection which are sequentially performed; and integrating quality inspection results by using a large language model and an intelligent agent technology to generate an inspection report in a unified format. Excel serves as a uniform interface to be compatible with multi-source data, a large language model is introduced to achieve intelligent generation of a check report, the defect of compatibility of file formats and check logic in the prior art can be overcome, and key technical support can be provided for digital transformation of water conservancy and hydropower project cost management.

The invention relates to the technical field of data processing, and discloses a test case file conversion method and device, computer equipment and a storage medium. The test case file conversion method comprises the steps of obtaining a to-be-converted file, and analyzing the to-be-converted file according to a file type of the to-be-converted file to obtain file analysis data; performing conversion processing on the file analysis data according to a preset intermediate conversion rule to obtain an intermediate conversion file; obtaining format selection information, and determining a target file format and a target file template corresponding to the target file format according to the format selection information; and according to the intermediate conversion file and the target file template, generating a target conversion file corresponding to the target file format. According to the embodiment, a unified intermediate file processing mechanism is established, meanwhile, automatic processing of file conversion is achieved, the file conversion efficiency and accuracy are improved, and different scene requirements can be met.

The present disclosure relates to a system and method for selecting and generating audio using a large language model. The method includes receiving from a user a text-based prompt for a desired song, generating a song specification from a prompt that includes the text-based prompt and instructions on how to create a suitable instruction file format for representing the requested song, for each of the list of tracks in the song specification, generating a ranked list of potential sound loops matching the song specification for a selected track, selecting a sound loop from the ranked list of potential sound loops for each of the list of tracks, and generating a track specification file including the sound loop selected for each of the list of tracks.

The invention relates to the technical field of office automation, in particular to an intelligent control method, device, equipment and system for automatic stamping, and aims to recognize and semantically analyze the recognized file content of a paper material through a multi-modal stamping feature recognition model, realize intelligent determination and calibration of a stamping position, improve the stamping accuracy and improve the stamping efficiency. The stamping method can adapt to different file formats and is flexible without presetting a fixed template, so that the applicability of the stamping method is improved; edge AI computing power is deployed in the stamping equipment, and a neural network processor is locally integrated, so that data processing localization is realized, data security is improved, data response delay in the stamping processing process is reduced, and network dependence is reduced; and based on local powerful computing power support of the stamping equipment, large-batch stamping processing can be achieved, the stamping efficiency is improved, and therefore the working efficiency is improved, and the human resource cost is reduced.

The invention provides a resume information extraction method and device, electronic equipment and a storage medium, and relates to the technical field of automatic information. The method comprises the steps of obtaining a to-be-processed resume file; analyzing the resume file through a pre-trained resume information extraction model to obtain a file format and content characteristics of the resume file; determining a target extraction tool of the resume file according to the file format and the content features; and performing information extraction on the resume file through the target extraction tool to obtain resume text content. The resume information extraction model only needs to extract the file format and the content feature of the resume file, since the file format and the content feature of the resume file are easier to identify, a large amount of data is not needed for model training, and different extraction tools can be utilized to perform information extraction on different types of resumes, so that the extraction efficiency is improved. And the accuracy of information extraction is improved.