140 results about "Text file" patented technology

The invention relates to a multi-dimensional knowledge base construction and query method based on a multi-modal large model, and belongs to the technical field of AI large model application. The method comprises the following steps of: analyzing a text file containing text, table and picture contents; selecting a pre-trained large language model and a multi-modal large model, generating text abstracts and picture abstracts by utilizing the models, and enabling storage paths of the picture abstracts to correspond to storage paths of pictures one by one; selecting a text embedding model to construct a vector database and a retriever; and constructing a retrieval chain based on the multi-modal large model. According to the method, construction from a single text knowledge base to a multi-dimensional knowledge base is achieved, a multi-dimensional information retrieval method is provided, the problem of construction of the multi-dimensional knowledge base based on the vectorization technology is solved to a certain extent, and the large model output quality based on the retrieval enhancement generation technology is remarkably improved.

The invention discloses a rich text multi-dimensional difference analysis and accurate revision method and system based on AI, and relates to the technical field of artificial intelligence and data analys.The rich text multi-dimensional difference analysis and accurate revision method comprises the steps that firstly, a rich text file is analyzed, a document structure is reconstructed, vectorization and key information labeling are conducted on semantic blocks, and structuralization and semantic enhancement of a text are achieved; the method comprises the following steps of: firstly, carrying out text surface layer, semantic deep layer and structure association dimension difference analysis in parallel, then carrying out system knowledge graph-based revision influence degree evaluation on the basis of difference analysis, tracing associated terms through penetrating analysis, calculating an influence degree score and early warning potential conflicts, and automatically generating accurate revision suggestions; visual difference preview and one-key generation of a revised draft are provided, a closed loop from problem discovery to problem solving is realized, and the efficiency and accuracy of system revision are greatly improved.

To improve usability of a user.SOLUTION: The document information includes a document display name of a document file corresponding to a search condition, a list of detected text sentences including a search word and characters before and after the search word in a text file, most frequent image data corresponding to a page in which the search word is detected most frequently, and a jump button that can be linked to a document address.SELECTED DRAWING: Figure 10

To improve usability of a user.SOLUTION: When a search condition including at least one search word is supplied from a user terminal, searching a local government document database for a document disclosed by a local government, searching for the search word in the text file corresponding to a document ID matching the search condition, and generating result image data for displaying a list of document information in which a document display name including the search word, a detected text sentence including the search word and characters before and after the search word in the text file, and a document link button including a link to the document file are displayed in one frame.SELECTED DRAWING: Figure 1

Certain aspects of the disclosure provide a method for extracting attributes from documents with varying formats, layouts and complexities. The method displays a user interface (UI) that enables a user to obtain an unstructured document from a knowledge base. The method converts the unstructured document into a text document using a text recognition. The method obtains, as output from a large language model (LLM), an extracted page attribute from the text document. The extracted page attribute contains a first type of information recorded in text on a single page of the text document. The extracted document attribute contains a second type of information recorded in text on more than one page of the text document. The method obtains, as output from the LLM, an extracted document attribute from the text document. The extracted page attribute and the extracted document attribute are displayed in the UI.

Various embodiments of the present disclosure provide a text interpretation technique. The text interpretation technique includes generating a plurality of text segment embeddings from a plurality of input text documents and identifying prompt embeddings associated with a predictive task. The technique includes generating task-specific similarity scores for the plurality of text segments based on a comparison between the plurality of text segment embeddings and the prompt embeddings, The technique includes identifying a set of task-specific text segments from the plurality of text segments based on the plurality of task-specific similarity scores and training a target machine learning model based on the set of task-specific text segments.

The embodiment of the application discloses a data conversion method, system and device, the method comprises the following steps: when a trigger condition corresponding to a scheduling task is met, triggering the scheduling task, and transmitting task parameters to a push task main program; through the push task main program, target data in a database is queried based on the task parameters in a stream mode, the target data is parsed according to a template file, and the target data is written into a landing shard data file; after the target data in the database is queried and written into the landing shard data file, the total number of the target data under each data mode is determined, a text file corresponding to each data mode is generated according to the total number of the target data under each data mode and each landing shard data file under each data mode; and the text file corresponding to each data mode is compressed, and the compressed text file is uploaded to a target server. The method can ensure the timeliness and accuracy of data pushing, and realizes decoupling of the database and a data consumer.

The invention provides a rock mass fracture network medium reconstruction method and system based on image tracking, and belongs to the technical field of fracture network reconstruction, and the method comprises the steps: obtaining a to-be-reconstructed fracture network, and carrying out the preprocessing of the to-be-reconstructed fracture network, and obtaining a binary image; skeletonizing the binary image to obtain a single-pixel wide fissure main ridge; identifying end points and intersections of the fracture skeleton based on a neighborhood connection relation, and performing constrained graph tracking by taking the end points and the intersections as graph nodes, taking a connection skeleton sequence between the end points and the intersections as graph edges and taking the end points as starting points to obtain an ordered vertex coordinate sequence of each fracture broken line; and performing multi-point coordinate calibration on the ordered vertex coordinate sequence, mapping the ordered vertex coordinate sequence to a target two-dimensional coordinate system, generating a polyline command text file based on the mapped coordinates, and reconstructing the fracture network medium by using the polyline command text file. The method is oriented to data flow of heterogeneous software, a special interface is not needed, batch processing is supported, and the efficiency and accuracy of cross-platform modeling are improved.

In various embodiments, systems and methods for ledger-based cookie management are provided. Rather than store cookie data as text files on the local device drive, cookie data is recorded to a blockchain technology cookie ledger store on a network resource. When a client application (e.g., a browser) on the UE is directed to a cloud-based service, and that cloud-based service calls for access to a cookie, that call is processed by a cookie gateway executing on the UE. The cookie gateway may verify authenticity of the user and generate a cookie access token that it transmits to the cloud-based service. The cloud-based service may use the cookie access token to locate the cookie ledger and access one or more records storing cookie data used by the cloud-based service. The cookie access token may expire upon termination of the session between the user equipment and the cloud-based service.

The invention relates to the field of marine carbonate rock sequence research, and discloses a marine carbonate rock reservoir high-frequency sequence division method and system.The method comprises the steps that firstly, a GR curve is exported into a text format, and a GR curve text file is obtained; the method comprises the following steps: importing an Acycle, and carrying out pretreatment; performing spectral analysis, screening a curve with a standard Milankovitch cycle ratio, and calculating the average number of each level sequence developed by the layer section; carrying out wavelet transformation on the GR curve by utilizing MATLAB (matrix laboratory), and separating out wavelet curves of different levels; carrying out trending processing on the GR curves of the multiple target layers through INPEEA method processing to obtain a contrast curve; carrying out wavelet signal curve level matching and layer sequence division, and carrying out contrast inspection; according to the method, effective signals reflecting different levels of cycle changes can be extracted, high-frequency cycles are accurately divided, the influence of subjectivity and multi-level sequence superposition interference on sequence division is effectively eliminated, and a theoretical basis and service are provided for deep dolomite reservoir distribution prediction.

The embodiment of the invention provides an ancient book proofreading method and device and a storage medium. In the method, each ancient book page of an ancient book file is divided into a plurality of ancient book segments, a text segment corresponding to each ancient book segment is generated, and a first ancient book character of each ancient book segment corresponds to a second ancient book character in the corresponding text segment; according to the first ancient book character in any ancient book segment, performing letter proofreading on the second ancient book character in the text segment corresponding to any ancient book segment to obtain first proofreading information; according to the syntactic structure in any ancient book page and the first proofreading information in the text page, performing word and sentence proofreading on the text page to obtain second proofreading information; and according to the first and / or second proofreading information in the text file corresponding to the ancient book file, carrying out grammar proofreading on text contents with impaired meanings in the text file to obtain a corrected text file. In this way, the ancient book recognition text can be corrected from multiple dimensions of characters, words, sentences and semantics, and the accuracy of the recognition text is improved.

The invention relates to an information synthesis system comprising: - at least one information receiving means (R1, R2) for receiving text (T), audio (A) and / or video (V) files; - a means (C) for converting a multimedia file (A, V) into text in order to obtain at least one converted file (FC); - a first artificial intelligence (AI) model for analyzing the text file (T) and / or the converted file (FC), and for generating a mental map (CM) on the basis thereof, the first artificial intelligence (AI) model being constructed by machine learning from construction data comprising reference files (T1, T2, …, Ti, A1, A2, …, Ai, V1, V2, …, Vi), as well as corresponding reference mental maps (CM1, CM2, … CMi); the invention further relates to a method and a computer program based on such a system.

The application discloses a simulation result optimization method and application in chip verification and relates to the technical field of chip development.The method comprises the following steps: starting simulation on a to-be-tested chip to generate a simulation file;forming a signal line group by grabbing the signal lines of relevant signals in the simulation file based on a specified RTL layer;packing the signal values in the signal line group to form a data packet, extracting a key data packet from the data packet, comparing the values of the signal lines in the key data packet with expected values, and / or comparing the combined logic among the multiple signal lines in the key data packet with expected signal line combined logic;and generating a key data verification result text file according to the comparison result.The application realizes automatic analysis and checking of the simulation result of the required signal within a set range, improves the simulation result checking efficiency, and reduces the labor and computing resource cost of simulation debugging.

The invention relates to the technical field of document review, and provides an automatic document review method, device and system and a medium. According to the implementation scheme, in response to a project document review request of a user, format conversion is conducted on multiple to-be-reviewed source files of different file types in the project document review request, and multiple to-be-reviewed text files of the same file type are obtained; performing structured extraction on each to-be-reviewed text file to obtain a first text paragraph; determining each first review rule based on the subject keyword of the first text paragraph and each key field in a preset expert rule dictionary; combining each first review rule and the first text paragraph to obtain a first prompt text; and based on the first prompt text, reviewing the first text paragraph through a preset large language model to obtain a reviewing result. According to the embodiment of the invention, the accuracy of document review can be improved.

The invention provides a knowledge base document processing method and system based on an AI application, and relates to the technical field of big data, and the method comprises the steps: S1, carrying out format analysis and multi-mode conversion on an uploaded to-be-processed document to obtain standard text content and text description of a picture contained in the to-be-processed document; s2, performing semantic analysis on the standard text content based on a pre-trained large model to obtain a corresponding context semantic vector, and capturing a long sequence dependency relationship based on the context semantic vector to obtain a dependency feature set; and S3, segmenting the standard text content according to a pre-acquired segmentation length threshold value and the dependency feature set to obtain segmented text files, adding the text description to each picture to obtain picture files, and outputting the text files and the picture files as document processing results. The method has the beneficial effects that the processing efficiency and scale are remarkably improved, and the semantic understanding and extraction precision is greatly improved.

The invention discloses an Android Monkey test blacklist control method and system based on a control source ID, and relates to the field of automated testing, the method comprises the following steps: S1, configuring a blacklist control source ID set: setting a specific control source ID to be eliminated in an Android Monkey test through a command line parameter or a text file to form the blacklist control source ID set; the resource ID provides a stable control identifier for the Android system; s2, generating a random event sequence: generating the random event sequence required by Monkey test based on a native Monkey test tool; s3, acquiring a current event to be executed and a target control resource ID: extracting the event to be executed at present in the random event sequence, and acquiring the target control resource ID for executing the event through an Accessibility API (Application Program Interface); extra authority is not needed in the acquisition process; s4, event filtering judgment: comparing the resource ID of the target control obtained in the step S3 with the resource ID set of the blacklist control configured in the step S1, and judging whether the target control belongs to a control to be excluded or not; the event filtering judgment link is completed before the event is distributed to the target control.

The invention discloses a software testing method and device, a medium and a product, and relates to the technical field of software test.The software testing method includes the steps that coverage rate data of unit testing, integration testing and system testing of target software are collected through a code coverage rate analysis tool, and the coverage rate data are converted into target text files; the coverage rate data comprises execution times and coverage rates of the codes; storing each target text file in a corresponding target directory, and reading and analyzing the target text file in each target directory to obtain corresponding analyzed data; the analyzed data comprises a total row number, a total branch number, a total function number, a total coverage row number, a total coverage branch number and a total coverage function number; and merging and storing the analyzed data into a preset nested dictionary, traversing the preset nested dictionary to determine the code coverage rate of the target software based on the traversed analyzed data, and determining the software defect of the target software by using the code coverage rate. The quality and stability of software can be improved through testing.

The invention discloses a graphical code verification method, and relates to the technical field of rail transit signal systems, and the method comprises the following steps: S1, reading a new version demand document FS, a design document AD and a graphical code EMIL of a subsystem; s2, comparing the demand document FS and the design document AD of the new version and the old version, and associating to obtain an NEWTrace table file and an OLDTrace table file; s3, the NEWTrace table file and the OLDTrace table file are traversed, and a ChangeLog table is obtained; s4, reading a new and old version graphical code EMIL and a ChangeLog table, and generating a code comparison text file and an AD check text file; s5, traversing and updating the Themes verification table; s6, verifying the consistency of the requirement for modifying the entry and the code; and S7, summarizing all verification results of the Themes verification table. According to the method, demand design and codes are integrated, corresponding modification demands and modification codes are identified and triggered through an automatic method, walking verification is facilitated, and the code walking verification efficiency is improved.

The invention provides a static detection method for multi-type text files and script files, a storage medium and electronic equipment. The static detection method comprises the following steps: acquiring a to-be-detected file; mapping each character into a predefined character category to obtain a character category sequence; carrying out statistics on similar characters continuously appearing in the character category sequence, and carrying out classification according to the number of continuous appearing times obtained through statistics to obtain a hierarchical coding sequence; combining the character category sequence with the hierarchical coding sequence to generate a structured fuzzy feature character string of the file; and matching the structured fuzzy feature character string with a feature library in a static detection engine, and judging the security of the file according to a matching result. The feature extraction process does not depend on the specific grammar or semantics of the file, so that different types of text and script files can be uniformly processed, the universality is very high, and the method has certain resistance to common code deformation and simple confusion.

This invention discloses a modular editing method for emergency response procedures in CTC simulation training, comprising: acquiring text data of emergency response regulations; analyzing and processing the text data to establish generalized parameterized emergency response procedure node modules; modularly editing emergency response procedure files; and one-click replacement of modules in the emergency response procedure. This invention exists in the form of graphics and text files, with a simple format for easy viewing. This allows a single module to be used in different emergency response procedures and modified according to the needs of the scenario. Modules can be quickly modified based on changes in regulations and emergency response methods, and all procedure content can be replaced. The procedure content changes according to the module changes. The invention also enables editing functions for deleting, adding, and replacing data in each module.

A pre-processing system for pre-compiling a shader, includes the following elements. A first persistent cache, disposed in a render engine of surface-flinger. A second persistent cache, disposed in a HWUI (Hardware Accelerated Rendering Engine for UI). A generating module, used to generate a text file, a binary file and a describer associated with the shader, and the shader is used to render a plurality of pages for an application program (APP). An installing module, used to store the text file and the binary file into a scan file path of the first persistent cache and / or the second persistent cache based on the describer.

Disclosed herein relates to a method that analyzes the sentiment of user feedback for a genealogical system and identifies key phrases that may relate to novel themes in the user feedback. Sentiment analysis and novel theme prediction systems, methods, and computer-program products are described. Sentiment analysis of user feedback may include dividing user-generated unstructured text files into sections. The method classifies each section to an aspect of the genealogical system from a predetermined list of aspects monitored by the genealogical system. The method inputs the text belonging to the classified section to a supervised machine learning model and determines a sentiment associated with the classified section. In other embodiments, a method generates embedding vectors representing survey responses from users of a genealogical system. The method extracts a subset of survey responses having embedding vectors grouped into one cluster. The method extracts key phrases that may indicate a novel theme.

An apparatus (300) for detecting sensitive information in a first text document representative of a first topic is provided. The apparatus (300) is configured to generate a first updated text document by tagging a segment of text in the first text document using a list of one or more types of sensitive information for a second topic: train a language model on text representative of the first topic and on a list of one or more types of sensitive information for a third topic, wherein the language model is a transformer-based machine learning model; and generate a second updated text document by classifying as sensitive a segment of text in the first updated text document using the trained language model representative of relationships between the tagged segment, one or more types of sensitive information for the third topic, and the text representative of the first topic.

A processing system may sectionalize a text file into overlapping sections, generate, for each section, a question from a text of the section, where the question is associated with the section in a question-section pair, and apply each question to a machine learning language model to generate answers to the questions. For each question, the applying may include appending the text of the section as supplemental prompt content. The processing system may associate each question with an answer to generate a respective question-answer pair and may group the question-answer pairs into groups based upon a similarity metric. The processing system may then identify, for at least a first group, a text sequence that is within an intersection of the sections in the question-section pairs of the first group, where the text sequence is associated with the first group as a result of the identifying.

This invention provides a method and system for avoiding empty page reads in NAND Flash controller simulation verification. Before batch read and write tests, the data of each function point state is pre-loaded into a text file. If the address to be read is an address that has not been written to, the data of the current function point state will be driven to the interface. This solves the problem of pre-loading some data in the NAND Flash simulation model, which consumes simulation time and affects the randomness of function point tests, and avoids the problem of empty page reads.

The application discloses a ship structure strength calculation formula fine-grained knowledge extraction method, which faces a ship structure strength calculation scene and comprises the following steps: generating a specified format text file by analyzing a ship structure strength calculation guide PDF; constructing a ship structure strength calculation formula fine-grained extraction large model; obtaining text-level full-quantity triple by adopting a general ontology model guided text-level full-quantity triple extraction method and a semantic-based triple edge relationship supplementing and correcting method; perfecting the ontology model by adopting an ontology model generation and attribute expansion method based on rule filtering and hierarchical clustering; formulating attribute value text description by adopting a triple snowflake type expansion method based on attribute semantic depth mining; and specifying attribute value reference description by adopting a triple supplementing method based on reference association expansion, so as to obtain formula-level full-quantity triple, thereby constructing a calculation formula graph and realizing the structured management of the calculation formula.

The invention belongs to the field of format conversion, and discloses a file format conversion method and system, and the method comprises the steps: reading an LIN communication file, and storing the LIN communication file in a preset database; verifying the LIN communication file in the preset database; and if the LIN communication file passes the verification, writing data in the LIN communication file into a preset text file according to a preset LDF file format to obtain a converted LDF file. According to the method and the device, the LIN communication file stored in the preset database is verified, so that the integrity and the accuracy of the data are ensured, and subsequent problems caused by format errors or data defects are avoided. Only when the verification is passed, the system can generate a corresponding LDF file. According to the process, the error rate is reduced, the development quality and reliability are improved, manual intervention is reduced through the automatic process, the labor cost is reduced, and an efficient and reliable solution is provided for product development.

A verification method for a layout of an integrated circuit performed by a computer device includes comparing a first netlist corresponding to a schematic diagram of the integrated circuit and a second netlist corresponding to a first layout of the integrated circuit, generating a second layout by applying a pre-input retarget rule to the first layout in response to determining that the first netlist and the second netlist correspond to each other, generating a first text file, including coordinate data for each of layers included in the first layout, from the first layout, generating a second text file, including coordinate data for each of layers included in the second layout, from the second layout, and outputting verification information indicating whether a difference between the first layout and the second layout corresponds to pre-stored feature data, based on the first text file and the second text file.

Disclosed is a system and method of converting a binary file generated by a battery cycler into a text file. The system includes a database server in which a database including a first table containing a cycler ID and version information of a binary file generated by a cycler and a second table containing the cycler ID and data structure information of the binary file generated by the cycler is built; a data server configured to receive a binary file containing a test result of a battery from the cycler and store the binary file in a first storage medium; and a computer connected to the database server and the data server and including a second storage medium and a processor. The processor may determine a cycler ID which generated a conversion target binary file from the first table using file version information read from a header of the conversion target binary file as a query key, and convert the conversion target binary file into a text file based on the data structure information read from the second table using the cycler ID as a query key and record the text file in the second storage medium.

The application provides a data docking method, device and equipment and a computer readable storage medium. The method comprises the following steps: calling a heterogeneous data script to collect heterogeneous data; entering the heterogeneous data into a preset text file to generate a heterogeneous data text file, and storing the heterogeneous data text in a preset heterogeneous database; accessing the heterogeneous database to obtain target heterogeneous data, and matching an external docking interface according to the target heterogeneous data; docking the external docking interface with a preset isolation gateway, and transmitting the target heterogeneous data. The technical scheme can realize the configuration and docking of different heterogeneous data, can realize the docking of heterogeneous data of different manufacturers without development and programming, can improve the data docking efficiency, can reduce the data error rate, and can reduce the data docking cost.