477 results about "File format" patented technology

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 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 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.

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.

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.

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.

The invention relates to a heterogeneous human head model construction method and system oriented to multi-physics field simulation, based on real human head T1 weighted magnetic resonance image data, key tissues such as white matter, gray matter and cerebrospinal fluid are accurately segmented, and a three-dimensional geometric model used for generating carrying tissue identification information is researched and developed; converting the model data into a file format conforming to the NASTRAN standard by utilizing an independently developed format conversion program, and completely retaining organization classification information; finally, different tissue areas are automatically recognized through physical field simulation software, corresponding frequency dependent material attributes are distributed, and a finite element model capable of being directly used for simulation is formed. According to the method, seamless integration of the high-precision heterogeneous human head model and the simulation platform is achieved, tedious manual repairing and assignment operation is not needed, the method has the advantages of being high in precision, high in efficiency and good in compatibility, and the authenticity and reliability of biomedical simulation such as transcranial magnetic stimulation and radio frequency coil design can be remarkably improved.

The invention relates to a storage test vector generation method and device, equipment and a storage medium, and is applied to the field of semiconductor testing, and the method comprises the steps: obtaining a chip manual and a chip test plan of a to-be-tested chip, and generating a chip description file according to the chip manual and the chip test plan; carrying out abstract processing according to the chip description file, and generating a chip abstract model; converting test logic in a test algorithm into a test sequence according to the chip abstract model; and obtaining a target file format requirement of a target ATE equipment platform, and converting the test sequence according to the target file format requirement to generate a storage test vector. The method has the technical effects that the reusability of cross-platform use of the test vector is improved, the test development efficiency is improved, and the time is saved.

The invention provides an automatic budget auditing method and system, and relates to the technical field of artificial intelligence, and the method comprises the steps: receiving a to-be-audited budget file and an auditing rule; based on the auditing rule and the file format and the professional attribute of the budget file, determining an analysis agent; performing structured analysis on the budget file based on the analysis agent to generate to-be-audited data; and calling the vertical domain large language model, and performing budget auditing on the to-be-audited data based on the auditing rule. According to the method and the system provided by the invention, structured analysis is performed on the budget file by using the analysis agent, so that the automation degree and the accuracy of auditing are improved; according to the budget auditing method, budget auditing is carried out by calling the vertical domain large language model subjected to vertical domain parameter fine adjustment, so that problems and abnormal conditions in the budget file can be identified more accurately, the budget auditing quality and efficiency are improved, and a more reliable auditing result is provided for a user; through automatic budget auditing, the budget auditing efficiency is remarkably improved.

The invention discloses a bidding file generation method and device based on a large model, equipment and a medium, and relates to the technical field of artificial intelligence, and the method comprises the steps: obtaining a target bidding file, and extracting a target entity in the target bidding file; constructing a target knowledge graph corresponding to the target bid inviting file based on the target entity, and determining target structured data corresponding to the target knowledge graph; retrieving target matching information corresponding to the target structured data from a target knowledge base, and generating a target cue word based on the target matching information and the target structured data; the target knowledge base is a knowledge base constructed based on product information, enterprise information and historical bidding files; and generating an initial bidding file based on the target cue word and a preset generation rule by using the target large model, obtaining revision information corresponding to the initial bidding file, and determining a target bidding file corresponding to the initial bidding file based on a preset bidding file format and the revision information. The generation efficiency and the generation quality of the bidding file can be improved.

The embodiment of the invention provides a fine tuning data set generation method and device for fine tuning of a multi-modal large model, equipment and a medium, and the method comprises the steps: obtaining cross-modal data from original data of various file formats; based on the cross-modal data, constructing a three-dimensional domain knowledge graph including subject classification, terminologies and entity relationships; according to the three-dimensional domain knowledge graph, generating a question-answer pair and a thinking chain for the cross-modal data through an LLM model federated architecture; and performing semantic alignment on various modal data in the cross-modal data to obtain the fine adjustment data set. The scheme can improve the processing efficiency and improve the data quality.

The invention relates to the technical field of power system project management, and discloses a power grid science and technology project acceptance material examination method and system. The method comprises the steps of obtaining power grid science and technology project acceptance materials containing different file formats, and obtaining multi-modal data; extracting structured information and semantic features in the multi-modal data by using a pre-constructed multi-modal lightweight model to obtain a multi-dimensional data result; selecting a large semantic model adaptive to the power grid scene, and performing deep analysis on the multi-dimensional data result according to the large semantic model to obtain a deep analysis result; reviewing the multi-dimensional data result and the deep analysis result according to a predefined compliance reviewing rule base to obtain a material reviewing result; and converting the material review result into a structured review report through standardization processing. According to the invention, intelligentization, precision and high efficiency of power grid science and technology project acceptance material examination are realized.

The invention discloses a man-machine collaborative remote sensing image intelligent labeling method and device based on a visual large model. The method comprises the steps of obtaining remote sensing image data to be labeled, and performing image enhancement processing to obtain enhanced remote sensing image data; inputting the enhanced remote sensing image data into a visual large model for mask segmentation processing, and outputting a plurality of target segmentation masks and corresponding confidence coefficients; marking layer graphs with different colors on the to-be-marked remote sensing image data to form marked remote sensing image data, and displaying the marked remote sensing image data to a user; and the user performs confirmation operation, and stores the labeled remote sensing image data as a GeoTIFF file format image with geographic reference information. In the embodiment of the invention, the image labeling precision of complex ground objects, multiple regions and the like is obviously improved.

A method for translating natural language description of planning problems. A natural language description of the planning problem is used to generate problem candidates. Domain candidates are generated from the problem candidates. The domain candidates are refined using an evaluation metric. The problem and domain candidates can be problem planning domain definition language (PDDL) file. A planner can solve the planning problem using the output problem and domain candidates.

The invention discloses a multi-modal automatic teaching video generation method and system based on an intermediate file. The analysis module is used for extracting texts and pictures from documents input by a user and constructing a searchable knowledge base. The content generation module retrieves related teaching content texts according to knowledge points specified by a user through calling of a two-stage large language model, and generates an explanation first draft in a free format; and retrieving related pictures, performing format conversion, and combining with the explaining first draft to generate a structured JSON file. The format conversion module is used for converting the JSON file into an intermediate file which can be read by human and can be analyzed by a machine through a predefined template engine; the collaborative review module presents the intermediate file to a user and receives a modification instruction; and the synchronous updating module performs reverse analysis and grammar verification, and updates the original structured data according to the changed content. The material generation module generates corresponding audio and image materials; and the video synthesis module synthesizes the materials into a video file and outputs the video file.

The invention discloses a method for analyzing the internal dynamic response of a rock-filled foundation with an ultra-large particle size in the rolling process of a road roller. The method comprises the following steps: step 1, evaluating the uniformity of a time sampling interval; step 2, filtering the collected vibration signals under the two working modes of weak vibration and strong vibration of the road roller respectively; step 3, outputting the filtered time domain signal data according to an Excel file format; 4, calculating a time interval standard deviation of the data, and evaluating the uniformity of a time sampling interval; 5, signal preprocessing is carried out; 6, arranging the data and storing the data to a specified path; and 7, analyzing the influence of the filling thickness and the number of rolling times on the vibration energy in the foundation and the change rule. The method has the advantages that spatial distribution and change rules of vibration acceleration, vibration amplitude and vibration energy in the high-fill roadbed can be truly reflected, and the method can be effectively used for prediction and analysis of dynamic response change rules in high-fill roadbed filling.

The invention discloses a data analysis method and a related product. The method comprises the following steps: acquiring a first data table from a spreadsheet program; converting the first data table according to a target format to obtain a second data table, the target format being a file format supported by a target database, and the target database having an SQL query function; registering the second data table to a target database; in the spreadsheet program, SQL query operation is executed on the second data table through the target database, and a query result is obtained; and outputting a query result through a spreadsheet program. Therefore, a user can directly perform data query and result display on the second data table by means of the target database in the environment of the spreadsheet program without cross-system manual operation, so that professional data analysis capability can be provided for the spreadsheet program, the convenience degree of SQL query operation can be effectively improved, and the user experience is improved. Therefore, the data analysis efficiency and the user experience are improved.

The invention relates to the technical field of roof engineering construction, and discloses a roof floor tile digital rapid arrangement method and system, and the method comprises the steps: extracting key information of a roof to be subjected to tile arrangement, respectively setting various lines in the key information as different layers for representation, and transferring a roof building construction drawing into a dxf file format for storage. Identifying a layer in the dxf file, setting an arrangement standard based on the identified roof boundary line, the obstacle positioning line and the parameter information of the required floor tile, creating a boundary buffer area of the geometric object based on the floor tile to be arranged, the roof boundary and the obstacle, and establishing a boundary buffer area of the geometric object based on the arrangement standard and the boundary buffer area. And arranging the roofs to be subjected to brick arrangement by adopting a grid traversal method, and regulating and controlling the colors of floor tiles, boundary lines and obstacles in an output graph so as to visually display an arrangement result. According to the arrangement method, the process is simple and easy to implement, the arrangement quality effect is good, and quick and high-quality completion of complex roof floor tile arrangement work can be achieved.

The invention discloses a WebShell malicious behavior fine grit method based on an abstract syntax tree and de-obfuscation, which comprises the following steps: inputting a WebShell suspicious script file into a computer system, and quickly identifying and normalizing the suspicious script through file format screening, feature matching and file standardization to obtain a normalized script; executing a de-obfuscation operation on the standardized script based on a large language model to obtain a simplified semantic equivalence code; analyzing the code to generate an abstract syntax tree, extracting key features through a multi-granularity feature extraction mechanism, and capturing multi-dimensional context dependency; and extracting multi-dimensional feature vectorization, performing feature fusion, inputting a deep neural network combined with ResNet, BiLSTM and Transform, and outputting a WebShell malicious behavior detection result and a malicious behavior fine-grained classification result. The WebShell attack detection method can solve the problems of low detection accuracy and high false alarm and missing report rate of an existing detection method when facing highly hidden, deformed and confused WebShell attacks.

The invention relates to the technical field of computer graphic processing, and discloses a method for automatically drawing a DCS (Distributed Control System) picture into a real-time database picture, which comprises the following steps of: firstly, identifying a DCS source file format, directly analyzing a public text format or intercepting a bottom layer rendering instruction for a private binary format, and extracting standardized discrete data; constructing an intermediate vector model, and performing coordinate normalization and curve smoothing processing on the static primitives by using an affine transformation matrix; meanwhile, syntactic analysis is conducted on the control script to construct an abstract syntax tree, and dynamic logic is converted; then recombining a composite object based on spatial semantics, and repairing pipeline topology connection by utilizing automatic adsorption and an orthogonal routing algorithm; and finally, calling a target system interface to complete object instantiation and persistent storage. According to the invention, the automatic high-fidelity migration of the DCS picture to the real-time database is realized, the labor cost is reduced, and the consistency and accuracy of the monitoring picture are ensured.

This specification relates to file format-based transparent encryption tailored for big data. In some aspects, a method includes receiving a write request including a table with one or more columns to be stored in a storage device; compressing table data in a unit of block, wherein each column includes a number of blocks; generating a column key for each column and a block key for each block including sensitive information; encrypting (i) each block including sensitive information with a corresponding block key and (ii) rest of blocks in each column with a corresponding column key; generating wrapped keys for the column keys and block keys and storing the wrapped keys into a key file; and storing the encrypted blocks of each column into a data file in a data folder of the storage device.

The invention discloses an intelligent file searching method and system based on natural language processing and a knowledge graph, and relates to the technical field of information retrieval, the method comprises the following steps: preprocessing acquired file data, including file format conversion, noise filtering and text extraction; semantic analysis is carried out on the extracted text content by using a natural language processing technology, and semantic support is provided for construction of a knowledge graph and subsequent search processing; based on a semantic analysis result, constructing a knowledge graph of the file field; when a user inputs a query statement, performing semantic understanding, query expansion and query conversion on the query statement, and converting the query statement into a query expression which can be understood by the knowledge graph; and searching in the knowledge graph according to the query expression, calculating a sorting result according to the correlation, and visually presenting the sorting result. According to the invention, the accuracy, correlation and intelligence of file search can be improved.

The invention discloses a multi-stage cascade semantic analysis framework of a nuclear security level control code generation tool, which comprises an input layer, an analysis module layer, an error processing layer and an output layer, and is characterized in that the input layer is used for receiving and preprocessing a control model xml file, verifying a file format and preliminarily checking grammar; the analysis module layer is used for analyzing post grammar, namespace, type, clock, causal relationship and initialized semantic analysis tasks of the file after receiving the analysis request to obtain analysis results; the error processing layer is used for collecting, classifying, positioning and report generating various error information appearing in the analysis module layer; and the output layer is used for generating and outputting a standardized analysis report and an optimization suggestion. And a pipelined cascade structure is adopted, so that efficient semantic analysis is realized. Through an innovative error processing mechanism and an optimization strategy, the analysis efficiency and accuracy are remarkably improved, and a reliable guarantee is provided for software development of a digital instrument control system of the nuclear power station.

This invention relates to a multi-dimensional weighted method and system for detecting malicious program packers, belonging to the field of information security technology. This invention analyzes programs from three dimensions: file format, data disorder, and data content, providing a comprehensive comparison between packed and ordinary programs. It effectively combats the disguise of packed programs and solves the problem of low stability in single-angle feature detection. Features are quantified, allowing them to directly participate in mathematical calculations. Probabilistic formulas are used to standardize the features, giving the calculation results probabilistic meaning. The entropy weight method effectively avoids the influence of subjective factors on the weights of each feature, ensuring the objectivity of the detection system. Judgment through weight calculation eliminates the time and maintenance costs of feature matching and feature databases, optimizing the performance of the detection system.

The invention provides a drawing file processing method and device, equipment, a medium and a program product, and relates to the field of financial science and technology. Comprising the following steps: in response to a drawing file processing operation initiated by a user, reading a file stream corresponding to the drawing file processing operation; analyzing the file stream to determine a file format corresponding to the file stream; acquiring a local drawing tool installed locally; according to the local drawing tool and the file format, determining whether a drawing service is provided for the drawing file processing operation through the local drawing tool; if it is determined that the drawing service is not provided for the drawing file processing operation through the local drawing tool, a cloud drawing engine query request is initiated to a cloud server according to the file format; cloud drawing engine transmission information sent by the cloud server is received; generating a cloud drawing tool according to the cloud drawing engine transmission information; and providing a drawing service for the drawing file processing operation according to the cloud drawing tool. And the processing flexibility and efficiency of the drawing file are improved.