4237 results about "Data file" patented technology

The present disclosure relates generally to computer-implemented systems and techniques for leveraging a virtual decentralized database to enable user identity authentication and verification of user activity and associated behaviors on open internet and public web-based and native applications. Techniques are disclosed for user identification profile onboarding using biometrics, frictionless CAPTCHA (Completely Automatic Public Turing Tests To Tell Humans And Computers Apart) processes, passive data capture of physiological and behaviors using device sensors, and cryptographic methods of storing user engagement activity as immutable data files for secure distribution on a decentralized virtual private network. Such technologies operate to establish a high confidence level for user authenticity, communication origin, engagement outcome transparency and clarity of intent for users active on social, commercial, e-commerce and information sharing platforms. More specifically, an unobtrusive passive data capture method of authentication and verification on a secure VPN supports the organic, spontaneous and original experience audiences desire while simultaneously eliminating opportunities for unscrupulous actors to exploit open internet exchanges by inserting fraudulent user accounts, automated bots and other measures that mimic or impersonate live humans, which ultimately undermines user confidence in data safety and erodes mutual trust between people, companies and institutions.

A method is provided for dynamically generating a digital watermark for a data file. The method includes receiving a request to access the data file from a user; dynamically generating an encryption key based on at least one parameter selected from the group consisting of the identity of the user, the time of access, and the mode of access; embedding a digital watermark into the data file using the dynamically generated encryption key, wherein the digital watermark is unique to the request; providing access to the data file with the embedded digital watermark to the user; and storing information related to the encryption key and the parameters used for its generation in a secure database.

The invention relates to the technical field of Otwei interactive maps, and discloses a geological data interaction method and system based on an Otwei interactive map. The method comprises the following steps: carrying out feature recognition and structural analysis on original geological data to obtain a standardized data packet, and establishing a geographic space reference conversion index table; performing feature extraction and classification on geological elements in the standardized data packet to obtain structured geological data; importing the structured geological data into an Ovoucher interactive map, and carrying out local registration through a mesh generation technology to obtain a visual geological element map layer; geological element drawing and attribute input are carried out, and an edited geological data set is obtained; and carrying out structure recombination and reverse coordinate conversion to obtain a standard format data file adaptive to the target geological information system. According to the method, accurate conversion of multi-source geological data between different coordinate systems and measuring scales is realized, and the problem of spatial dislocation during integration of different-source geological data in a traditional method is effectively solved.

The invention relates to the technical field of agent construction, and discloses an agent construction method and system based on agentive workflow, and the method comprises the following steps: defining an agent core function module and distributing a unique identifier, building an inter-module communication protocol standard, and determining a message format and a priority rule; the method comprises the following steps: distributing computing resources for each module, setting an elastic capacity expansion and contraction strategy, generating a module dependency graph and an architecture metadata file, detecting the loss and delay of multi-modal input data, generating compensation characteristics based on historical context, calculating the quality confidence of each modal, and carrying out dynamic weighted fusion. According to the invention, a three-level alignment architecture is provided to realize cross-modal semantic consistency, and the generated content is ensured to accord with real scene logic; a double-layer decision-making mechanism is designed to drive workflow dynamic optimization, and the system agility under a complex task is remarkably enhanced; a privacy-efficiency balanced federated architecture is constructed, and differential content generation is supported while enterprise data sovereignty is protected.

An apparatus for data ingestion and manipulation, the apparatus including at least a processor and a memory communicatively connected to the at least a processor, the memory containing instructions configuring the at least a processor to receive a resource data file from one or more data acquisition systems, classify the resource data file to one or more educational categorizations, generate an educational module as a function of the resource data file and the classification of the educational categorizations wherein the education module comprises one or more machine learning models, retrieve a user profile of a plurality of user profiles as a function of a user input, create user-specific outputs as a function of the educational module, the user profile, and a conversational input and generate a virtual avatar model as a function of the user-specific outputs.

The present invention is related to data processing methods and systems thereof. According to an embodiment, the present invention provides a method of processing documents using a machine learning model. The process begins by accessing data files and extracting information from them, which is subsequently stored. This document information, along with the machine learning model trained on various document formats, is used to classify the data files and generate tabular data. From this tabular data, data objects are created and included in an output data file. The information from the output file is then used to update the data of the machine learning model, optimizing it for improved future document processing. There are other embodiments as well.

A cellular communication network based non-fungible token creation system with integrated creator biometric authentication comprises an electronic device of the user; a passive biometric user identification technology coupled to the electronic device and configured for identifying the individual with the passive biometric user identification technology by passively obtaining biometric characteristics that are unique to each human; and a one click non-fungible token forming component which is configured for identifying digital data files on an electronic device with a single user click; wherein the digital data files include the biometric characteristics of the creator, and at least one of audio, video, data and image files, and wherein the system is configured for creating authentication data comprising the digital data files and for recording on a blockchain the authentication data forming the non-fungible token; and systems for managing and transferring ownership of the non-fungible token.

The invention relates to the technical field of artificial intelligence large language models, and discloses a data attribution analysis task processing method, system and device based on a large language model and a storage medium. The data attribution analysis task processing method is applied to data attribution equipment and specifically comprises the following steps that S101, user input is received through a multi-mode input interface, and the user input comprises natural language problems, structured data files or API data streams; by means of the natural language understanding ability of the large language model, the system can directly analyze service problems put forward by a user in a daily term, professional data query languages are not needed, non-technical personnel can conveniently use the system, the data retrieval time is shortened to be within 3 minutes from 30 minutes on average through the automatic SQL query generation technology, the efficiency is improved by 10 times, and the method is suitable for large-scale popularization and application. The system can intelligently identify the database fields corresponding to the business indexes and generate optimized query statements.

The present invention is related to data processing methods and systems thereof. According to an embodiment, the present invention provides a method of processing claim deduction documents using a machine learning model. The process begins by accessing data files and extracting information from them, which is subsequently stored. This document information, along with the machine learning model trained on various document formats, is used to classify the data files and generate tabular data. From this tabular data, data objects are created and included in an output data file. The information from the output file is then used to update the data of the machine learning model, optimizing it for improved future document processing. There are other embodiments as well.

The invention relates to the technical field of data processing, and discloses a big data-based file analysis storage division mode and a distributed storage system.The method comprises the following steps: S1, file analysis: analyzing an input big data file, and extracting a logic structure, field content and an association relationship of the big data file; s2, data block generation: dividing an analysis result into data blocks, and generating size and relevance information of the data blocks; s3, association weight generation: establishing a weight relationship between the similarity between the data blocks and the joint access frequency; and S4, storage division optimization: based on the association weight, optimizing the distribution of the data blocks among the storage nodes. According to the method, distribution of the data blocks is optimized through the synergistic effect of the association weight generation module and the dynamic decision-making module, so that the data blocks with high association degree are preferentially distributed to the same storage node, cross-node data transmission is greatly reduced, a storage strategy can be adjusted in real time, and the storage efficiency is improved. Therefore, communication delay and network resource consumption caused by cross-node access are reduced.

A system including a vehicle having a network comprising a plurality of end points and a controller, where the controller includes an automation definition circuit, an automation management circuit, and an automation execution circuit. The automation definition circuit is structured to interpret an automation description. The automation management circuit is structured to provide an automated action plan in response to the automation description, and to store the automated action plan as a data file on a data storage communicatively coupled to the controller. The automation execution circuit is structured to provide an automation command in response to the automated action description, where an end point of the plurality of end points is responsive to the automation command to implement an automated vehicle response.

The invention provides a lunar satellite formation orbit determination method and system. The method comprises the following steps: S1, establishing a lunar satellite high-precision dynamic model; s2, establishing a lunar satellite laser ranging and inter-satellite ranging mathematical model; s3, measuring the distance, namely the absolute position, of the A-type satellite relative to the ground station through laser ranging, and measuring the relative position of the B-type satellite relative to the A-type satellite through inter-satellite ranging; s4, preprocessing the absolute position and relative position data of the satellite measured by laser ranging and inter-satellite ranging, and generating a format data file required by orbit calculation; and S5, resolving the position coordinates of each satellite in the monthly formation through the format data file. According to the method, laser ranging and inter-satellite ranging are combined for orbit determination, precise orbit determination of the lunar satellite formation is achieved, compared with a traditional orbit determination mode, the precision can be improved from the hundred-meter level to the meter level, the requirements for the arrangement number of ground stations and set distribution are reduced, and the measurement and control pressure of existing ground stations is relieved.

The invention discloses a method, a product and equipment for sharing a file system by multiple hosts and a storage medium, and relates to the technical field of computers, which comprises the following steps: configuring a shared memory device as a character device, directly mapping to a user mode virtual address space, bypassing a kernel page cache, and directly reading and writing a physical address of the shared memory. A shared memory is divided into a super block area, a metadata area, a log area and a data area during formatting, all hosts perform unified operation through the shared metadata area, stand-alone cache interference is avoided, a hidden metadata file is created to map a non-data area during mounting, a log item is scanned to reconstruct a directory file structure, and the mounting efficiency is improved. All hosts generate a directory file structure completely consistent with the shared memory through log replay, the problem of data consistency caused by a cache strategy in a traditional multi-host file system is solved, and the effects that multiple hosts share a unified memory view, operation is real-time and synchronous, and data access delay is reduced are achieved.

The invention provides a knowledge graph enhanced RAG intelligent question-answering method based on a complex process, which comprises the following steps: uploading a heterogeneous data file, creating an embedded vector and a vector index, and obtaining a private database; performing entity relationship extraction on the private database to obtain a knowledge graph, and combining the knowledge graph with the large model to obtain a query model; using the query model to decompose user questions, identify question types, question intentions and entity relationships, then judging whether related entities exist in the knowledge graph, if yes, outputting answers by using the query model, and if not, calling the large language model to perform question and answer reasoning; and constructing a historical question and answer abstract, and optimizing answers. According to the method, the accuracy and the credibility of answering are improved, meanwhile, the visual representation of the knowledge graph also enables the user to more intuitively understand how the system obtains a specific answer, and the interactivity and the credibility between the user and the system are enhanced.

A method includes initiating a connection with a semiconductor manufacturing system. The method further includes generating a set of tool data items associated with the semiconductor manufacturing system. The method further includes providing a graphical user interface (GUI) presenting the set of tool data items associated with the semiconductor manufacturing system and receiving and via the GUI, user input selecting one or more of the tool data items. The method further includes adding configuration data associated with one or more of the tool data items to a data collection plan. The method further includes validating the configuration data by locating, in the manufacturing system, a configuration data file associated with the configuration data. The method further includes executing one or more data collection operations based on the data collection plan.

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

The invention provides a three-dimensional visual model construction method and system for a mine slope, and relates to the technical field of data processing, and the method comprises the steps: obtaining the inclined image data of the mine slope; performing error correction on the inclined image data; performing live-action modeling according to the inclined image data after error correction to obtain a three-dimensional grid model and a point cloud data file; generating a digital terrain model according to the point cloud data file; extracting a contour line of the digital terrain model, and exporting a contour line file; generating a three-dimensional terrain curved surface by using a terrain data generator according to the contour line file; the three-dimensional terrain curved surface extends downwards by a preset depth, and a three-dimensional entity slope model is generated; physical parameters of side slope rock soil are set, and a Moire-Coulomb intensity criterion is given to the three-dimensional entity side slope model so as to simulate shear failure characteristics of the rock soil; on the basis of shear failure characteristics of rock and soil, grid division is carried out on the three-dimensional solid slope model; and generating a three-dimensional visual model of the mine slope.

The invention discloses a round bottle printer control method, system and device and a storage medium, and relates to the technical field of round bottle printer control, and the method comprises the steps: analyzing PRN format printing data, segmenting the PRN format printing data into a forward printing layer and a reverse printing layer according to the physical layout of a nozzle, and generating an S-shaped data file containing a channel mapping relation; at least two printing strokes are executed, in the first round, the nozzle array is driven to output a forward image layer along a forward track, in the second round, a reverse image layer is output along a reverse track, and a closed-loop track is formed; according to the real-time distance between the nozzle and the medium, adjusting ink droplet injection parameters including volume, frequency and track compensation coefficient; the invention further relates to a corresponding system, electronic equipment and a storage medium, the printing precision and quality can be improved, and the method is suitable for a multi-nozzle round bottle printing scene.

The invention discloses a judicial data file generation method and system and a computer program product. The method comprises the following steps: acquiring image data and audio data of an electronic file; preprocessing the electronic file image data; identifying the preprocessed electronic file image data by adopting an OCR (Optical Character Recognition) technology to obtain first text data; recognizing the audio data by adopting a language recognition technology to obtain second text data; fusing the first text data and the second text data to obtain fused data; analyzing the fusion data by using a pre-trained large language model, and extracting key information of the fusion data; and classifying the fusion data according to the key information, and allocating a corresponding label to each piece of fusion data to obtain a judicial data file in structured storage. According to the judicial data file generation method and system and the computer program product provided by the invention, the limitation of a conventional regular expression and NLP technology is overcome, and the accuracy and efficiency of judicial file structuring are improved.

The invention relates to a processing method and device for a test data file and a readable storage medium, and the method comprises the steps: analyzing the test data file, and obtaining an analyzed file; determining whether the analysis file is complete or not; under the condition that the analysis file is incomplete, obtaining corresponding statistical information based on the test data record in the analysis file, and supplementing the statistical information into the analysis file to obtain a repair file; and outputting a test result corresponding to the test data record on the basis of the repair file, thereby solving the problem that the test data generated under the condition of abnormal chip test cannot be utilized in the prior art.

The invention discloses a data report generation method, electronic equipment, a storage medium and a computer program product, and relates to the technical field of large model technology and data analysis. The method comprises the steps that a data file and brief description information are obtained, the data file is used for providing data content prepared for generating a data report meeting the field requirement, and the brief description information is used for brief description of content to be reported; calling a target language model to analyze the data file and the brief description information, and generating an analysis scheme; based on the analysis scheme, calling a target language model to carry out mathematical statistics on the data file to obtain a target statistical result; and generating a target data report based on the target statistical result. According to the method and the device, the technical problems of complex flow, low efficiency and high dependency on manual operation of technicians of a data report generation scheme in related technologies are solved.

A method and system for handling a user query are provided. The method includes setting up a symbol or link in a user interface, the symbol or link representing a dataset in a cloud environment, receiving a user query initiated by a user through the user interface, parsing the dataset to identify a data file associated with the user query, generating a sequence of queries based on the user query and content parsed from the data file, and searching against the data file using the sequence of queries to obtain a set of query results.

The invention discloses an information graph generation method, device and equipment and a readable storage medium, and the method comprises the steps: extracting a summary abstract from an obtained data file, selecting a target template from a pre-constructed information graph template library, obtaining a data fact according to the summary abstract, the data file and the target template, and generating a visual graph according to the data fact. And filling the visual chart into the target template to obtain a target information graph. Visibly, the data facts adaptive to the target template are generated through the large language model on the basis of the congruent abstract extracted from the data file and the data file, the data file can be objectively described, and the information graph generated based on the data facts can fully display the data file in an attractive layout structure; the method can be directly applied to a specific professional field, and the efficiency is improved while the information graph generation threshold is reduced.

The present application discloses a typhoon forecasting method based on domestic satellite data, which includes: a data fusion process: used to fuse GNSS-R sea surface wind data and IFS forecast data from the European center to generate a two-dimensional gridded sea surface vector wind field; a meteorological forecasting process combined with artificial intelligence, including a large meteorological model forecasting step and a numerical model forecasting step; a multi-typhoon path discrimination and typhoon intensity forecasting process, which is used to extract key meteorological element variables from regional forecast data files at different times, and judge the typhoon center based on the key meteorological element variables. The present application combines domestic satellite data and artificial intelligence technology, and through the deep combination of data fusion and numerical forecasting technology, improves the accuracy and refinement of typhoon path and intensity forecasts. In addition, through the application of large meteorological models, nonlinear and massive data can be processed more effectively, improving the forecast accuracy.

The invention relates to the technical field of resource management, in particular to an operation resource allocation method and system, and the method comprises the following steps: integrating data of operation types, duration, equipment requirements and personnel requirements, combining the data with patient identity recognition information, creating an independent index, sorting the data into a queriable data set, and carrying out the data archiving processing, and obtaining a comprehensive resource data file. According to the method, dynamic adjustment of resources is effectively guided by learning historical data and predicting time distribution of equipment use frequency and personnel demands in resource management through a gradient elevator algorithm, the robustness and prediction accuracy of the model are improved through a random forest algorithm and an ensemble learning method, and the robustness and prediction accuracy of the model are improved. Therefore, the adjustment decision in the resource allocation process is more accurate, resource waste is reduced, the allocation efficiency of manpower and material resources is optimized, and the utilization rate of operation resources and the medical service quality are remarkably improved.

A method of database operations includes receiving a user query, generating a query vector embedding representative of the user query, querying a vector database using the query vector embedding, retrieving a first database vector of the plurality of database vectors based on the query and representative of a first data file corresponding to a first time and belonging to a first time-series data set, receiving a first plurality of delta encodings describing differences between vector representations of temporally-adjacent data files of the first time-series data set, identifying a second data file of the first time-series data set having a second vector representation that differs from the first database vector and corresponds to a second time, and retrieving the second data file from a database.

An illustrative method includes an access control list (ACL) management system generating an ACL file containing an ACL that describes one or more access permissions in a file system, storing the ACL file within an ACL directory structure, the ACL file uniquely representing the ACL in the ACL directory structure, generating an ACL identifier for the ACL file, and mapping, using the ACL identifier, the ACL file to one or more data files in the file system to apply the ACL in the ACL file to the one or more data files.

A computer-implemented method, according to one approach, includes performing a predetermined first data merge process in response to a determination that a version conflict exists between a plurality of versions of a data file resulting from editing performed on different cloud devices. The predetermined first data merge process includes determining a first merging policy of the data file from a plurality of potential merging policies, determining a plugin associated with the data file, and calling the plugin. The first merging policy is used as an input for the plugin, and the plugin includes predetermined conditions for determining first contents of the versions of the data file to exclude from a merge operation performed on the data file and second contents of the versions of the data file to include in the merge operation.

The invention relates to the field of text processing, in particular to a bidding document information extraction method. Comprising the following steps: segmenting a bidding and tendering file into pages, and identifying the pages to obtain corresponding texts; generating complementary text description for images and tables in the page and adding the complementary text description to the tail of a text corresponding to the page to form an enhanced text block sequence; matching a label from the text block sequence according to a pre-constructed hierarchical label system, and generating a corresponding cue word template according to the label and a pre-constructed cue word template library; inputting the cue word template, the enhanced text block sequence and the context text abstract as a combination into a large language model to obtain a structured extraction result with a hierarchical relationship; and matching the extracted entity content with a local dictionary, carrying out aggregation arrangement on a result after the matching is passed, and outputting a structured data file. On the premise that the model does not need to be retrained, the illusion risk of the generated content is reduced.

A computer implemented method, a computing device, a laboratory instrument, a computer program product and a computer readable storage medium for selectively de-identifying protected health information (PHI) are provided. The method comprises accessing a first data file, the first data file comprising at least a first data item, wherein the first data item comprises PHI and first PHI category information, wherein the first PHI category information is indicative of a first PHI category of a plurality of PHI categories, the PHI in the first data item belonging to the first PHI category. The method further comprises accessing the first PHI category information. The method further comprises assessing, based on the first PHI category information, whether the PHI in the first data item is to be de-identified or not. If the PHI in the first data item is to be de-identified, the method further comprises generating a second data item by modifying the first data item such that the protected health information is de-identified.