394 results about "Text file" patented technology

Systems and methods for semantic temporal segmentation based on topic recognition are disclosed. Text classification and segmentation may be used to index media content for subsequent searches. The method may include using a text classification model to semantically analyze sentences in a text file (such as a transcript) to determine topics with which sentences are associated. The output of the text classification model may be provided to a text segmentation model to enable more-accurate identification of text segments (e.g., paragraphs) within the text file. In some examples, the output of a text segmentation model is provided to a text classification model to enable the text classification model to perform more-accurate classification based on text segments rather than (or in addition to) performing classification on single sentences. The classification of the text segments may be used to assign labels to the text segments to enable subsequent searches based on the labels.

Systems and methods are disclosed herein for generating updated descriptions of items based on analyzing candidate embeddings of semantic representations of item descriptions. The system may obtain a text file describing an item. The system may provide the text file to a generative language model to generate semantic representations of the text file. The system may generate, based on the text file, candidate embeddings in an embedding space. The system may obtain embeddings associated with existing items. The system may determine subsets of the embeddings within a threshold distance. The system may compare the subsets. The system may determine attributes associated with a candidate embedding based on the comparison. The system may generate an updated text file based on the attributes.

The invention discloses a hospital internal contract and project intelligent auditing method and system, and the method comprises the steps: inputting to-be-examined files into a multi-agent cooperation network model of an auditing vertical domain large model, carrying out the document format conversion of a plurality of to-be-examined files through a perception agent, and obtaining a plurality of text files; performing intention recognition according to the to-be-examined file, the audit scene and the audit type to obtain an audit rule list, and performing extraction, document slicing and assembly on the to-be-examined content according to the audit rule list to obtain an atomic file corresponding to each audit rule; performing risk judgment on the atomic file corresponding to each auditing rule by using the analysis agent to obtain a corresponding atomic result, performing summarization by using the summarization agent to obtain a risk prompt list, and performing summarization based on the risk prompt list to obtain auditing suggestions. According to the method, the files in different formats are processed through stepped task decomposition, and the processing results of the intelligent agents are integrated, so that the efficiency of the audit results is improved.

The invention discloses an SSD (Solid State Disk) testing method, which relates to the technical field of SSDs, and comprises the following steps: an SSD is connected to testing equipment, and the testing equipment comprises a controller, a data generation module, a data transmission module, a data storage module and a performance monitoring module; specific types of test data are generated through a data generation module, the specific types of test data comprise sequential read-write data, random read-write data and mixed read-write data, the file size of the sequential read-write data is within the range of 1GB-10GB, the operation block size of the random read-write data is within the range of 4KB-64KB, and the file size of the mixed read-write data is within the range of 4KB-64KB. The ratio of sequential read-write to random read-write in the mixed read-write data ranges from 1: 1 to 3: 1, the test data further comprises multiple file formats including but not limited to text files, image files, video files and audio files, and the data size of each file format accounts for 10%-30% of the total test data size; the SSD performance can be accurately evaluated, and the performance evaluation standard is perfected.

The invention discloses a data quality detection method and device for DataX and a medium, and relates to the technical field of data processing. The method comprises the following steps: reading a data source in a parallel fragmentation manner through a reader plug-in of DataX to obtain to-be-processed data; when the to-be-processed data is transmitted to the memory buffer area, triggering a quality detection engine, and loading a predefined detection rule base through the quality detection engine; if it is detected that the field is empty, the format deviates from a preset template or the necessary field is missing, generating an abnormal log containing a problem type, a field identifier and original data; and classifying and storing the abnormal logs into a distributed file system according to timestamps, generating a visual abstract report, analyzing problem types, field identifiers and original data, and calling a predefined repair script library for repair. By means of the method, data quality detection is executed in the data input and output process of the DataX, the detection result is output to the text file, and quality detection can be efficiently and accurately conducted on the data.

The invention belongs to the technical field of RAG questioning and answering, and particularly relates to an efficient and accurate RAG questioning and answering method and device based on a knowledge graph and a storage medium. The method comprises the following steps: reading contents in a text file, dividing the contents to obtain text blocks, and obtaining an initial triple by using a large language model; performing post-processing on the initial triad to obtain an optimized triad, and constructing a knowledge graph; building an index key value pair based on the optimized triad and the text block to which the triad belongs, and storing the index key value pair in a vector database; performing mixed knowledge retrieval based on the index key value pair to obtain mixed knowledge beneficial to question answering: unstructured knowledge from the text and structured knowledge from the knowledge graph; and taking the mixed knowledge as the context of question answering, and reasoning by using a large-scale language model. According to the method, the response time is remarkably shortened, the unstructured knowledge and the structured knowledge are effectively integrated, and the accuracy of low-level retrieval and high-level retrieval is remarkably improved.

A system and method are configured to commission and decommission an endpoint device using steganography. The system includes a server operatively connected to the endpoint device through a network. The server includes a steganographic module configured to receive configuration instructions, to generate a secret message corresponding to the configuration instructions, and to steganographically embed the secret message in a carrier file, including a media file selected from the group consisting of a text file, an image file, an audio file, and a video file. The carrier file is transmitted to the endpoint device which extracts the secret message from the carrier file, and which executes the configuration instructions in the secret message to reconfigure the endpoint device to commission or decommission the endpoint device or a component thereof. The method implements the system.

A computerized-method for providing personalized-content for an interaction of an agent with a customer during an outbound conversational-marketing-campaign of a tenant operated via a cloud-based contact-center-platform. The computerized-method includes: (i) receiving details of the customer and details of the outbound conversational-marketing-campaign of the tenant; (ii) creating a prompt-text based on the received details of the customer and the details of the outbound conversational-marketing-campaign; (iii) generating the personalized content for the interaction with the customer in text-format by executing an LLM AI engine with a trained model with the created prompt-text; (iv) storing a text-file with the generated personalized content in text-format in a contents-database; (v) initiating the interaction of the agent by dialing to the customer; (vi) retrieving the text-file for the interaction from the contents-database; and (vii) sending the text-file to a computerized-device of the agent to be presented via a display-unit that is associated to the computerized-device.

The invention discloses a code repository question and answer method based on a hierarchical code knowledge graph, which comprises the following steps: collecting all files of a target code repository, and preprocessing to obtain code files and text files; generating an abstract syntax tree from the code file, and extracting related entities; carrying out block segmentation on the text file, and extracting to obtain text blocks; constructing a code knowledge graph representing a code structure based on the extracted entities and text blocks; generating a hierarchical code knowledge graph by adopting a community detection algorithm and a hierarchical clustering method, and generating a functional abstract for each community in combination with a large language model; a Monte Carlo tree search-based code warehouse question and answer agent is used for performing question and answer path optimization, an optimal query track is dynamically planned through the steps of node selection, expansion, simulation, reward evaluation and the like, and a path with the highest accumulated reward is selected to generate a final question and answer result. The code knowledge modeling quality and the reasoning accuracy and efficiency of the question answering system can be effectively improved.

Examples of the present disclosure describe systems and methods for automating the identification of events in a text file. In examples, a computing system identifies a subset of a text file that comprises an unknown event using a set of rules. Each rule of the set of rules specifying a first pattern of characters is compared to the subset of the first text file. When the set of rules does not identify the unknown event, the subset of the text file is provided to a language model to generate a new rule with a second pattern of characters and an identifier of the new rule. The system then generates an updated set of rules by adding the new rule to the set of rules.

The invention provides a text file generation method and device, equipment, a medium and a product, and is applied to the technical field of data analysis. The method comprises the steps that in response to input of a query statement, an original text feature database and an abstract feature database are acquired; retrieving the query statement in the original text feature database to obtain a first retrieval result, and retrieving the query statement in the abstract feature database to obtain a second retrieval result; sorting the first retrieval result and the second retrieval result through a pre-trained correlation sorting model to obtain a candidate result; performing time sequence analysis and event aggregation on events in the candidate results through a time sequence index database to obtain a plurality of target events and a time sequence logic relationship of the plurality of target events, the target events being events associated with the query statement; and outputting the plurality of target events according to the time sequence and a preset text format. Therefore, the workload of manual file processing is greatly reduced.

The invention belongs to the technical field of intelligent manufacturing of aeronautical manufacturing enterprises, and relates to an assembly process procedure auxiliary compilation method based on a large model, which comprises the following steps: data preparation and processing: collecting and preprocessing an assembly process procedure text file; carrying out algorithm model selection and fine tuning, using an assembly process procedure text as a training data set and a test data set, and selecting different types of large models to carry out fine tuning; service publishing: deploying a plurality of large models with the best evaluation indexes as services, publishing the services, and externally providing available interface services; constructing an RAG knowledge base, vectorizing the assembly process procedure text, and constructing a vector knowledge base; intelligent question and answer: performing knowledge question and answer based on the RAG knowledge base; and assembly process procedure file generation: constructing the assembly process procedure file through text generation. According to the method, the functions of semantic retrieval intelligent question answering of the assembly technological procedure knowledge base, automatic assembly technological procedure file generation, information recording and the like are achieved.

An audio translation labeling and analysis method based on a multi-agent cooperation mechanism belongs to the field of information technology and artificial intelligence, and is characterized by comprising the following steps: S1, translating an audio file into a text file; s2, outputting a dialogue set of text structure arrangement for the text file through a model in which domain knowledge and language style learning are introduced; s3, extracting and structurally expressing a time expression, a place name and an abstract paragraph by adding a large language model of a prompt project, and associating an event background with a session context to obtain an information set; s4, splicing the dialogue set and the information set to obtain a document set; s5, forming a text-label pair data set by a series of texts and the corresponding labels with inclusion relations, and constructing the text-label pair data set into an instruction data set conforming to instruction fine tuning format specifications; s6, performing fine adjustment on the large language model base according to the instruction data set to obtain a fine-adjusted model; and S7, inputting the document set into the fine-tuned model, and labeling all levels of labels to obtain the document set with the labels, which is used for full-process automatic processing from audio transcription to text optimization, information extraction, labeling and analysis report generation.

The invention discloses an operation planning optimization modeling enhancement method, which comprises the following steps of: based on an operation planning optimization problem text file, constructing a structured problem representation containing a dependency relationship between constraints and original semantic information; according to the structured problem representation, executing logic consistency deduction by constructing and solving forward and reverse problem pairs, and generating a forward modeling result and a reverse verification set; performing multi-dimensional verification on the forward modeling result to identify potential modeling defects, and generating a structured counter-example test set for the potential modeling defects; and integrating the test performance of the reverse verification set and the structured counter-example test set, evaluating the credibility of the forward modeling result, and generating a final optimization model and a credibility evaluation report. According to the method, the logic preciseness and credibility of the automatic generation model can be improved, and quantitative reliability evaluation is provided for the model.

In some aspects, the techniques described herein relate to a method including: receiving, at a query platform, a query text string; tokenizing, by the query platform, the query text string, wherein the tokenizing generates a query vector embedding; determining, by the query platform, a document vector embedding, wherein the document vector embedding is above a similarity threshold with respect to the query vector embedding; retrieving, by the query platform, textual document data related to the document vector embedding; sending, by the query platform, the query text string and the textual document data to a generative model engine; receiving, by the query platform and from the generative model engine, a natural language response to the query text string; and displaying, by the query platform, the natural language response via an interface.

The invention provides a method for quickly converting coordinate formats of mineral resource reserve databases in batches and related equipment. The method comprises the following steps: firstly, reading a mining area number and a registration classification number in a row coordinate record, and a character string in a mining area or mine range coordinate field and a character string in a calculation coordinate field from a coordinate management table; secondly, independently storing block coordinates in the two character strings by utilizing two one-dimensional arrays, and independently storing initial positions and inflection points of the block coordinates by utilizing two two-dimensional arrays; and finally, according to the information in the four arrays, in combination with an encoding rule of the character string, reading block coordinates from the corresponding arrays in sequence, forming a coordinate pair format, and writing the coordinate pair format into a corresponding text file, so that forward conversion from the coordinate string to the coordinate pair is realized. In addition, reverse conversion of coordinate pairs to coordinate strings is also provided. According to the invention, the coordinate pair data meeting the coordinate system transformation format requirement can be quickly realized and provided.

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.

Disclosed herein are methods, systems, and apparatus for the detection of data integrity anomalies indicative of malware for a datastore of an organization. To identify an anomaly in a file, a portion of a file is identified to be used in a vector comparison. The portion can comprise sentences or paragraphs for text files, entries, rows, or columns for spreadsheet files, or some other divisible portion of a file. A vector having multiple dimensions is generated for the portion based on the content in the portion. Each dimension of the multiple dimensions corresponds to a feature of the portion. A variation is determined between the vector and one other vector associated with one other portion of the file. One or more actions to take with respect to the file is determined based on the variation, such as malware mitigation, and the action is performed with respect to the file

Systems, computer program products, and methods are provided for code revision impact analysis. The method includes generating a system map based on data received from a plurality of network devices; receiving a data transmission including a text file; processing the text file via a natural language processing engine, where an output of the natural language processing engine comprises a plurality of expected updates; determining, based on the system map, at least one downstream effect of the plurality of expected updates; and performing a remedial action.

A downloaded text file of a publication is viewable in first user interface. A media file related to the text of the downloaded text file and executable instruction is received. A point in the text is tagged with the received executable instruction. The executable instruction performs a dynamic change in the media file when the downloaded text is read in a digital readable format of a digital book. The executable instruction is performed in the digital readable format upon a triggering event associated with the tagged point in the text. Performing the executable instruction performs a display of the dynamic change in the media file in the digital book format.

The present invention provides a method for identifying upstream and downstream hydrological stations of a river channel based on existing GIS data, belonging to the field of digital twins of hydrological information. According to the hydrological station coordinate GIS data and the river network vector map, the present invention finds any number of stations upstream and downstream of the river channel corresponding to a given station number; displays the topological relationship diagram of the upstream and downstream stations of the given station; determines whether other stations are located upstream of the given station and which of the main stream and tributaries in the upstream basin they are in; saves the upstream and downstream topological relationship of the stations and the river network edge table in a text file for subsequent analysis. The present invention only needs to construct two layer files based on the existing GIS data to be able to identify the upstream and downstream hydrological stations of the river channel, which can greatly save the workload of manually searching for the upstream and downstream hydrological stations of specific stations. For large river networks and station layers, it has high accuracy and fast operation speed, and can be used as a favorable basis for the digital twin of the river network.

The invention provides a method for converting a support hanger computer aided design model into a mechanical analysis model, and the method comprises the steps: 1, building at least one feature identification point for each part in a Smart3D support hanger part library; step 2, carrying out support and hanger modeling in the Smart3D; 3, obtaining local coordinate definitions of the parts of the support hanger according to the feature identification points of each part in the support hanger model; step 4, outputting the acquired local coordinate definition of the support hanger part and the corresponding part structure information from the Smart3D, and storing the local coordinate definition and the corresponding part structure information as a text file; 5, generating a mechanical model of the part according to the text file; and step 6, establishing a connection relationship among the units in the mechanical model, and then obtaining a support hanger model capable of performing mechanical analysis. The invention also discloses a method for converting the support hanger computer aided design model into the mechanical analysis model.

The invention provides a file read-write method and system based on an XML template and electronic equipment, and the main scheme is as follows: text files are converted into data to be put in storage, file related attributes are configured through the XML, and read-write batch put-in-storage operation is performed on the text files in a specified directory and a ready state. File fields needing to be stored are screened out, storage rules are screened through XML configuration data, to-be-stored text data are read and written, and to-be-operated data information is obtained; in the to-be-operated data information, selecting a to-be-operated table name and a data column configured by corresponding field mapping in the table through self-defined data screening to generate a corresponding table entry SQL, and performing persistent storage. According to the invention, by using the file storage configuration, only the corresponding file storage operation needs to be configured, and after the service is accessed, the service can be newly added, expanded and changed only by modifying part of the configuration, so that redundant code development in a hard coding mode in the service expansion is avoided, and the manpower investment of development, test, operation and maintenance is reduced.

The invention discloses an ANTLR-based SysMLv2.0 text model synchronization method, which comprises the following steps of: S1, constructing a syntactic analysis framework of a SysMLv2.0 language on the basis of the ANTLR, and generating a Leyer and a Parser for analysis; s2, analyzing the original SysMLv2.0 text, and generating an abstract syntax tree AST containing structure, behavior and constraint elements; s3, constructing a semantic model structure based on AST mapping; s4, respectively constructing an original semantic model and a target semantic model, and unifying an identifier, a namespace and a reference path format; s5, comparing semantic model structure differences to generate a difference list; s6, performing insertion, deletion or replacement operation on the original model text according to the difference type, and performing incremental synchronization; s7, deserializing the synchronized semantic model to generate a standard SysMLv2.0 modeling text; and S8, outputting the text file for loading and visual operation of the modeling tool. According to the method, a unified analysis and synchronization system is constructed, and accurate comparison and incremental updating of the SysMLv2.0 text model are realized.

Systems and methods for distributed ledger-based check verification are disclosed. In one embodiment, a method may include a bank backend computer program: (1) receiving, from a computer application executed by an electronic device, an image of a presented check as part of an electronic check deposit process; (2) performing optical character recognition on the image of the presented check; (3) generating a text file based on the optical character recognition; (4) querying a distributed ledger in a distributed ledger network to determine whether the presented check has been presented or cleared before; (5) determining that the presented check has not been presented or cleared before; (6) processing the presented check for deposit; and (7) writing the text file for the presented check to the distributed ledger.

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

Systems, computer program products, and methods are provided for automated detection of source code discrepancies. The method includes receiving a data transmission including a text file and a source code file; processing the source code file via a machine learning engine, where an output of the machine learning engine includes a plurality of identified updates; processing the text file via a natural language processing engine, where an output of the natural language processing engine includes a plurality of expected updates; identifying a difference between the plurality of identified updates and the plurality of expected updates; and performing a remedial action.

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

The invention provides a relay protection device interface language switching method and system based on a hot loading mechanism, and the method comprises the steps: constructing a variable-length language storage structural body under a C language according to the variable-length text characteristics of multiple languages in a language text file, so as to generate an instantiated object, and further binding an interface element of a relay protection device; under the condition that an operation signal of switching languages of the user interface is detected, obtaining a user target language according to the interface element index so as to read a corresponding language text file; pointing a first-level pointer corresponding to the instantiated object to the read language text file, and pointing a second-level pointer corresponding to the instantiated object to the first-level pointer so as to bind the interface element and the target language text file; analyzing a second-level pointer corresponding to the instantiated object, and mapping the second-level pointer to a first-level pointer corresponding to the instantiated object to obtain target language text information pointed by the first-level pointer. According to the method, interface language switching can be completed without restarting equipment.