65 results about "Cross-reference" patented technology

A system, apparatus and method for contract classification processes both primary contracts and their associated documents using context window marshalling. The computing device receives and segments each contract document into contextual chunks based on semantic boundaries, maintaining coherent meaning. A marshalling queue processes chunks sequentially, storing processed data within defined context windows, cross-references between chunks, and a running context buffer of key elements. This chunking and storing process repeats until all associated contract documents are processed. The system identifies parties and contract categories by aggregating information across processed chunks from all related documents, then determines risk parameters using a classifier that considers contractual elements, cross-document relationships, and contextual importance weights. Risk recommendations are calculated based on these parameters, identified parties, class categories, and aggregate metrics computed across document and chunk boundaries. The system ranks contracts by evaluating both individual chunk risks and whole-contract assessment, weighting risks based on contextual significance and inter-chunk dependencies across all related documents. Change recommendations are generated that correlate contractual elements with risk levels, identify high-risk chunks and their relationships, and suggest modifications considering cross-document impacts. This approach enables processing of contracts and their associated documents that exceed single context window limitations while maintaining semantic coherence and relationship preservation throughout the entire document collection.

A multi-entity organizing system designed to streamline and optimize data management is provided by a unified platform for labeling and organizing various entities. The system employs a hierarchical structure of “Pillars” and “Subpillars” to categorize and tag data objects, such as contacts, messages, files, notes, and more, into cohesive groups. By utilizing these labels, efficient data retrieval, seamless cross-referencing, and simplified organization, is provided for such items, ultimately offering a comprehensive solution to consolidate diverse data within a single application.

Systems and methods for constructing an equipment troubleshooting tree involve receiving an unstructured text source and using a parsing tool to segment it into sections that are associated with equipment components, units, or processes. If the parsing tool fails, a pre-trained language model is used to identify the sections using the extracted listing as content. Metadata, including section-specific text and page ranges, are obtained for each section. A non-static process enhances similarity matching, resulting in segmented data. An indexing process embeds this data, along with the metadata, into index nodes to improve retrieval efficiency. The pre-trained language model generates a catalog of false, causes, or repair recommendations, which are structured as index notes in the troubleshooting tree. In response to a user query, the constructed troubleshooting tree is generated and output after a grounding process cross-references it with the unstructured text to ensure accuracy.

Systems and methods for watermarking objects of a digital dataset are disclosed. The method includes, at a first moment in time, acquiring a watermark message of a first size and generating a plurality of sub-messages based on the watermark message. The plurality of sub-messages are indicative of encoded portions of the watermark message. Each of the plurality of sub-messages is different from the watermark message and having a second size, the second size being smaller than the first size. The method also includes generating a watermarked object by embedding a given object from the digital dataset with a given one of the plurality of sub-messages, in lieu of the watermark message.

The present invention discloses a method and system for extracting and enhancing legal text information based on artificial intelligence. The method includes data collection and processing, semantic segmentation and reconstruction, text logic perception, dynamic knowledge fusion, and information extraction enhancement. The present invention relates to the field of text information extraction technology, and specifically refers to a method and system for extracting and enhancing legal text information based on artificial intelligence. The method adopts a joint framework of semantic segmentation and reconstruction, text logic perception, and dynamic knowledge fusion to achieve more accurate identification of the structural hierarchy of legal texts, enhance understanding of the logical association of legal clauses, and dynamically integrate knowledge between different legal documents to facilitate cross-reference and intelligent application between different regulations. The method adopts a conditional random field bidirectional long short-term memory model improved by combining hierarchical label reasoning for semantic segmentation and reconstruction. The method adopts a causal graph convolutional inference neural network enhanced by combining dual-channel logic units for text logic perception.

The invention provides a knowledge graph construction method and device, a question answering method and device, equipment, a medium and a program product, and relates to the technical field of intelligent question answering, the knowledge graph construction method comprises the following steps: cutting an original text into a plurality of text blocks with coherent contents to determine nodes in a knowledge graph; determining edges in the knowledge graph and initial weights of the edges according to a cross reference relationship between contents of the text blocks and / or similarity between themes; based on the relation type to which the edge belongs, adjusting the initial weight to determine the target weight of the edge; and constructing the knowledge graph based on the node, the edge and the target weight. According to the embodiment of the invention, through modular analysis of papers and dynamic perception of the association relationship, multi-level knowledge node and implicit topic association are fused, the logic relationship between modules is accurately quantified, and the constructed knowledge path can effectively capture the logic consistency and cross-document reference transitivity in the document, so that the reliability of the document is improved. And the multi-hop reasoning capability in a complex problem is obviously enhanced.

Various embodiments of the present disclosure provide methods, apparatus, systems, computing devices, computing entities, and / or the like for processing a constrained query by (i) generating a cross-reference document data object by (a) extracting a plurality of questions from a guideline document, (b) assigning a rank to each of a plurality of passages from an unstructured data object for each of the plurality of questions, (c) generating a plurality of answers for the plurality of questions based on top ranking passages of the plurality of passages for each question to retrieval machine learning model, and (d) combining the plurality of answers, (ii) generating one or more cross-reference embeddings based on the cross-reference document data object, and (iii) training a predictive machine learning model based on the one or more cross-reference embeddings.

This invention discloses an AI-based method and system for monitoring the entire project process, relating to the field of project monitoring technology. It constructs a document citation graph of the entire project process and identifies each complete citation path from the graph as a cross-reference link. Based on the document content corresponding to the cross-reference link, it calculates the content completeness value and the information gain value of the cited content, thereby calculating the authenticity value of the cross-reference link. The authenticity value of the cross-reference link is used as a credibility correction factor for task completion status identification in project monitoring, assisting in determining whether the task has been truly completed. This allows for a quantitative assessment of the authenticity of cross-reference links, increasing the accuracy of automatic identification of the true status of the entire project. It also enables existing AI monitoring systems to accurately judge and clearly identify risks when processing cross-referenced text, ensuring that the results of the entire project process monitoring match the actual situation and guaranteeing accurate monitoring results.

The embodiment of the invention discloses a PDF (Portable Document Format) document detection method and device. In the embodiment of the invention, a cross reference table of a PDF (Portable Document Format) document is obtained, and the cross reference table comprises positions of a plurality of crotch objects in the PDF document; determining a plurality of document objects according to the cross reference table; determining a graph structure of the PDF document and a node feature of each document object according to the plurality of document objects; and inputting the graph structure and the plurality of node features into a pre-trained graph neural network, and determining a detection result of the PDF document. According to the method, the graph structure and the node features are input into the graph neural network, so that the PDF document can be accurately detected, and whether the PDF document is tampered or not is judged.

A method for managing Master Data Management (MDM) data sets is provided. The method stores a second MDM data set into a second data repository separate and distinct from a first data repository storing a first MDM data set; continuously protects data integrity of the first and second MDM data sets, by: (i) maintaining separation between the first data repository and the second data repository, and (ii) preventing unauthorized data sharing by the first and second MDM data sets; detects a change to an MDM record of the first MDM data set, via a communication platform; determines that the second MDM data set includes a second MDM record associated with the patient, based on recognition of the patient by the second data repository; creates a cross-reference identifier for the patient; and updates the first MDM data set and the second MDM data set to include the cross-reference identifier.

The application relates to a browser-based PDF file parsing method, system and storage medium, which comprises the following steps: loading and parsing a PDF file to obtain description text associated with the PDF file; according to a PDF format rule, extracting a cross-reference table of the PDF file from the description text, and parsing a plurality of object data of the PDF file according to the cross-reference table; finding and reading the object data, and composing content elements according to position information and / or size information of the object data; according to a rendering rule of the browser, converting corresponding content in the content elements into document object model (DOM) nodes described in a hypertext markup language (HTML) + cascading style sheets (CSS) format; and rendering the content corresponding to the PDF file according to the document object model (DOM) nodes described in the hypertext markup language (HTML) + cascading style sheets (CSS) format through the browser to obtain content presented by the PDF file.

A system, apparatus and method for contract classification processes both primary contracts and their associated documents using context window marshalling. The computing device receives and segments each contract document into contextual chunks based on semantic boundaries, maintaining coherent meaning. A marshalling queue processes chunks sequentially, storing processed data within defined context windows, cross-references between chunks, and a running context buffer of key elements. The system identifies parties and contract categories by aggregating information across processed chunks from all related documents, then determines risk parameters using a classifier that considers contractual elements, cross document relationships, and contextual importance weights. Risk recommendations are calculated based on these parameters, identified parties, class categories, and aggregate metrics computed across document and chunk boundaries.

We provide the system. [Solution] An information processing device includes means for collecting necessary data from a predetermined information source, Based on the collected data, a means of verifying consistency by cross-referencing it with existing information sets, A means of presenting the user with the missing information of the confirmed data and receiving additional information, A means for automatically converting the received additional information into a different format, The means for updating the converted information in cooperation with an external device, A means of notifying an external device, A system that includes this.

A method for database synchronization in response to a unique provider object being compromised is described. The method comprises extracting data from a compromised provider object; building an injection query using the extracted data; adding a cross-reference element to the injection query, the cross-reference element including a provider object identifier for the compromised provider object; initiating creation of a clean provider object using the extracted data and the cross-reference element; forcing creation of the clean provider object; notifying third party systems of a provider object identifier for the created clean provider object; and deactivating the compromised provider object. An intermediation server configured to implement the method is also disclosed.

A contextual navigation and action user experience framework that facilitates workflows across multiple contexts and levels of object hierarchy is disclosed. Exemplary features include a swapper interface, an action toolbar with contextual buttons and contextual tabs, and a toolkit that provides an overview portal to view alerts, cross reference information, and perform actions on objects and insights that are important to the user across an entire product suite.

The invention discloses a project full-process monitoring method and system based on artificial intelligence, and relates to the technical field of project monitoring, and the method comprises the steps: constructing a document reference graph of a project full-process, and recognizing each complete reference path from the document reference graph as a cross reference link; according to the document content corresponding to the cross reference link, calculating a content integrity value and an information gain degree value of the reference content so as to calculate a truth degree value of the cross reference link; taking the truth value of the cross reference link as a credibility correction factor of task completion state identification in project monitoring, and assisting in judging whether the task is really processed or not; therefore, the authenticity of the cross-reference link can be quantitatively evaluated, and the automatic identification accuracy of the whole-process real state of the project is improved, so that the judgment is accurate and the risk identification is clear when the existing AI monitoring system processes the cross-reference text, the whole-process monitoring result of the project conforms to the actual condition, and the accuracy of the monitoring result is ensured.

The application discloses a kind of file online quick preview method of supporting multiple devices, belong to data processing technical field.The method includes: target file stream is obtained by protocol adaptive routing technology and type is identified by server;Through buffer judgment and dynamic conversion module, various office documents are uniformly converted into PDF format;Server returns the PDF file metadata containing piece support information;Client initiates dynamic piece data request to specified page based on PDF cross-reference table;Render by responsive layout in combination with device type;And subsequent piece data is preloaded when user browses.The application is combined by unified conversion, piece loading and device adaptive rendering technical means, effectively solve the technical problems that existing online preview system is poor in cross-device compatibility, and large file is slowly loaded, realize the quick, smooth preview of multiple format files on different terminals.

The present invention relates to a filament mesh structure, a method for manufacturing and forming the filament mesh structure, and a sheet assembly having the filament mesh structure, which may be cut by a fluid jet and heated with a fluid to facilitate reshaping, and which may include foldable connecting segments to facilitate folding of the filament mesh structure.

A context navigation and action user experience framework that facilitates workflows across multiple contexts and object hierarchy levels is disclosed. Exemplary features include a switcher interface, an action toolbar with context buttons and context tabs, and a toolkit that provides an overview portal to view alerts, cross-reference information, and perform actions on objects and insights important to the user across an entire product suite.

A contextual navigation and action user experience framework that facilitates workflows across multiple contexts and levels of object hierarchy is disclosed. Exemplary features include a swapper interface, an action toolbar with contextual buttons and contextual tabs, and a toolkit that provides an overview portal to view alerts, cross reference information, and perform actions on objects and insights that are important to the user across an entire product suite.

Systems or methods of the present disclosure may provide a design tool for adjusting designs implemented on programmable logic devices. The present disclosure includes receiving one or more sources, like documentation, design files, constraints, design reports, source code, chat history, or any combination thereof. The present disclosure also includes identifying relevant relationships between related information across the one or more sources, creating attribution metadata to track lineage of information based on the relevant relationships, and continuously maintaining and updating a knowledge integration database using the attribution metadata. Furthermore, the present disclosure includes providing visualization of the knowledge integration database.

A method and device for compressing transaction identifiers by a first mining node in a blockchain network may include: constructing a first candidate block including a first ordered list of transaction identifiers; receiving data from a second mining node defining a second ordered list of transaction identifiers in a second candidate block to be mined by the second mining node; determining that at least one transaction identifier in the first ordered list is also in the second ordered list; generating an append message including data defining the first ordered list of transaction identifiers, the data specifying at least one transaction identifier in the first ordered list of transaction identifiers by including an index position of the at least one transaction identifier in the second ordered list of transaction identifiers; and transmitting the append message to the second mining node.

The present invention discloses an automated intelligent embedded firmware analysis and vulnerability mining method, comprising the following steps: 1) obtaining firmware; 2) unpacking the firmware; 3) extracting executable files; 4) parsing file structures; 5) disassembly and control flow analysis; 6) function partitioning and cross-reference; 7) decompilation and in-function variable tracking; 8) vulnerability mining; this method supports the combined operation function of side-channel and error injection, and the scripted firmware analysis function, ensuring that known software vulnerabilities are detected without omission, or more careful analysis is carried out for a certain vulnerability, providing post-processing for firmware unpacking and analysis, and realizing the automation of the main process from firmware files to vulnerability reports.

Disclosed herein are methods and systems for secure data comparison using data clean rooms. In an embodiment, a computer system generates a replica database based on a provider database, which stores a cross reference table that cross references a client dataset of a client database and a provider dataset of the provider database. The system receives, at the replica database, a table that is generated by the client database using the cross-reference table. The system transmits, from the replica database, the table to the provider database. The system receives, at the replica database, a results dataset that is generated by the provider database by applying a database statement to the provider database using the table generated by the client database. The system shares, from the replica database, the results dataset with the client database.

The application discloses a device cross-referencing system, method and storage medium, and the system comprises at least any two of a monitoring system, visualization software and drawing software; the monitoring system, the visualization software and the drawing software have one-way or two-way cross-referencing links; wherein the monitoring system monitors state information, event information or / and alarm information of the device, the visualization software realizes control and protection functions of the device in a graphical interface and signal visualization manner, and the drawing software is used for displaying engineering drawings of the device. The application realizes mutual cross-referencing among the monitoring system, the visualization software and the drawing software, realizes integration and linkage of information of each device, and significantly improves convenience, accuracy and fault troubleshooting efficiency.

The invention discloses a PLC multi-task cross reference deterministic data method, which comprises the steps that a locking mechanism, a counter and a task load prediction module are arranged, and the task load prediction module collects multi-dimensional data and adjusts locking parameters through neural network algorithm analysis. Data caching is triggered when a preset cycle number is calculated, a shadow register and a pre-caching layer are arranged, a hash function is combined, a hash value is calculated during storage, feature information is recorded, and checking is carried out before reading. And a self-adaptive jitter compensation mechanism is combined with two filtering algorithms. And the pre-cache layer stores data in a classified manner according to time correlation. The counter has a double-counting mode to deal with task abnormity. And a task priority dynamic evaluation adjustment and historical record library is also provided. The hash function has a data redundancy check mechanism. The locking mechanism comprises a temporary locking interval, and the jitter time adopts a multi-dimensional statistical method. According to the method, the data certainty and accuracy are guaranteed from multiple aspects, the system efficiency is improved, and the adaptive capacity of the system to jitter in different operation states is enhanced.

The present invention provides a method for generating a control flow graph for C++ binary files and an electronic device, including: extracting a virtual function table and a symbol table from a C++ binary file; obtaining a destructor in each virtual function table according to the symbol table, and pairing the virtual function table with the corresponding destructor; performing cross-reference queries on each virtual function table to obtain a constructor; generating a control flow graph through the constructor, the destructor, and functions that directly or indirectly call the constructor or the destructor. The present invention uses an interprocedural method to solve the problem of indirect data reference, so as to identify virtual inheritance; starting from the constructor or destructor, analyzing from an overall perspective to construct the object memory layout, so as to resist the influence brought by constructor inlining; only generating a control flow graph for the constructor, the destructor, and their related functions, which is suitable for analyzing large C++ binary files.

The present application discloses a device cross reference system and method and a storage medium. The system comprises: any two of a monitoring system, visualization software and drawing software, and a one-way or two-way cross reference link is arranged between at least two of the monitoring system, the visualization software and the drawing software, wherein the monitoring system monitors state information, event information, or / and alarm information of a device, the visualization software implements control and protection functions of the device in a graphic interface and signal visualization mode, and the drawing software is used for displaying an engineering drawing of the device. The present application achieves the mutual cross reference among the monitoring system, the visualization software and the drawing software, achieves integration and linkage of device information, and significantly improves the convenience, accuracy and troubleshooting efficiency.

A method for performing workflow comparisons for determining data migration readiness is provided. The method includes initiating a comparison run for a batch file, and splitting the batch file into multiple component workflows. Each of the component workflows are then scheduled for processing across multiple processing stages. When a component workflow is determined to have completed all of the processing stages: compute a difference between a baseline and a target system for the component workflow, and cross reference the difference generated with prestored rules as well as machine learning techniques to determine whether the difference can be ignored (e.g., excluded) or explained (e.g., already encompassed in the book of work). When all of the component workflows originating from the batch file passes, merging reports for all of the component workflows for generating a merged report.