223 results about "User role" patented technology

The invention belongs to the technical field of computers, and particularly relates to an information integration management method and system supporting real-time updating, and the method comprises the steps: accessing a heterogeneous data source through a distributed gateway, carrying out the adaptive analysis of a protocol, and standardizing a structure; adding a millisecond timestamp and a unique identifier, and generating a semantic data cluster through streaming engine sliding window association analysis; after multi-dimensional consistency verification is executed, writing and storing are carried out by adopting a double-buffering and snapshot isolation mechanism; and dynamically assembling the customized view according to the user role and the context and safely returning the customized view. The system correspondingly comprises a protocol analysis module, a time sequence marking module, a streaming association module, a semantic verification module, a double-buffer control module, an index updating module, a view assembling module and a secure transmission module. According to the invention, millisecond-level real-time convergence, conflict-free fusion and on-demand view output are realized, and the data access flexibility, the quality guarantee capability and the service adaptation flexibility are comprehensively improved.

The invention relates to the technical field of computers, and discloses a user role and authority management method, system and device and a storage medium, and the method comprises the steps: accessing multi-source data, carrying out the preprocessing, and constructing a context snapshot; receiving request information, and analyzing a user intention; based on the context snapshot and the request context, reasoning, dynamic role affiliation judgment, authority demand assessment, risk assessment and decision suggestion output are carried out through a large model; the decision suggestion is converted into an executable technical instruction so as to dynamically adjust the user permission, the technical instruction comprises application program interface calling, configuration changing or strategy rule updating, and user permission adjusting comprises role distribution and permission granting or revocation; and in response to an execution result of the received technical instruction, a user behavior and an audit log, analyzing a decision effect, identifying a decision deviation, and optimizing the large model through a feedback learning mechanism. According to the invention, the flexibility, safety and efficiency of authority management can be improved.

In various examples, a technique for generating synthetic data includes inputting a first prompt that includes (i) a first portion of content and (ii) a plurality of user personas into a first machine learning model and generating, via the first machine learning model and based on the first prompt, a plurality of points of interest associated with the user personas and the first portion of content. The technique also includes inputting a second prompt that includes mappings between the points of interest and a plurality of question types into a second machine learning model and generating, via the second machine learning model and based on the second prompt, a plurality of questions associated with the user personas and the first portion of content. The technique further includes retrieving a second portion of content based at least on the plurality of questions and a third prompt.

The invention relates to an engineering construction stage user multi-dimensional demand analysis system and method, and the system comprises a multi-modal semantic model construction module which integrates a multi-source knowledge base, and extracts triple description statements from the provisions of the multi-source knowledge base to construct an engineering object ontology knowledge graph; the demand structured guidance and intelligent analysis engine module dynamically identifies an engineering stage and a user role, guides a user to perform text demand input, and performs semantic completion and standardization processing; the demand conflict detection and coordination correction module is used for detecting conflicts in user demands and generating a conflict influence analysis report and a coordination processing scheme; the intelligent drawing and dynamic optimization module is used for automatically drawing according to the triple obtained through demand analysis; and the demand analysis visualization and flow closed-loop module is used for generating an executable parameterized demand document and an association chart, and completing demand-design-verification engineering closed-loop management, so that intelligent analysis and standardization of user multi-dimensional demands are realized, and the system has the advantages of high efficiency, accuracy and intelligence.

Embodiments described herein related to systems and methods for generating comments in a page of a content collaboration platform. In some examples, the user interface of the platform is configured to display a page within a content region. The content region includes a comment control that, upon user selection, causes a prompt to be generated and submitted to a generative output engine via an Application Programming Interface (API). The prompt may include a portion of the content selected by a user and user-specific data, such as a user role. This data is used as context to the prompt alongside a predefined query. The output from the generative output engine may be used to generate a set of suggested comments, which are displayed in a comment interface within the content region of the content collaboration panel.

The invention relates to the technical field of network security, and discloses a data desensitization and access control method based on data consanguinity and sensitivity identification, which comprises the following steps of: constructing a data consanguinity graph for describing derivation, circulation and dependency relationships among fields; identifying a sensitivity level of each field based on a field consanguinity context provided by the graph; in response to a data access request of a user, dynamically generating an access control strategy for the target field in combination with a service scene, a user role and the sensitivity level of the target field, the strategy specifying access permission, access denial or access after desensitization; and executing the strategy through a data interceptor deployed in a data access key layer, releasing and shielding the data or outputting the data after real-time desensitization by calling a specified algorithm. According to the invention, accurate identification and dynamic and consistent fine-grained access control of the sensitivity of the network data are realized, and the security protection capability of the network data is improved.

A method is disclosed for managing access in a telecommunications network by utilizing a resource classification layer. The method involves receiving a request at a resource classification layer from a sender to obtain an access token for a receiver service. The sender is associated with a user role that has specific permissions and access rights corresponding to a data sensitivity threshold. The request includes a data payload. A classification value for the data payload is assigned using one or more resource classification models, which are trained on a log of past data payloads. A data sensitivity score is generated by comparing the classification value to a scale of classification values. The method then indicates whether the access token can be granted to the sender by comparing the data sensitivity score against the data sensitivity threshold to verify authorization.

The invention discloses a zero-trust-based dynamic password access management method, system and device and a medium, and the method specifically comprises the steps: collecting the context information of an access request, and dynamically adjusting the intensity of multi-factor authentication based on the context information to verify the identity of a user; after the identity verification is passed, combining user attributes, resource attributes and environment attributes which are obtained in real time, inputting the user attributes, the resource attributes and the environment attributes into a user behavior portrait model to carry out real-time risk assessment and authorization calculation, generating and granting a minimum necessary permission set to the user, and obtaining an authorization decision result; dynamically generating a temporary access key according to the user role and the resource sensitivity in the authorization decision result; and continuously monitoring user access behaviors, and inputting the user access behaviors into the deep behavior analysis model for real-time trust score calculation. According to the invention, a dynamic password access management system based on zero trust is constructed, the access security and management flexibility are comprehensively improved, and various security threats are effectively resisted.

A new generation 3D modeling system is described for the management of the 3D characteristics of man-made structures in a shared geographic information system (GIS) platform. The system accommodates the conversion of 2D GIS topology to 3D real-world topology, originate and perpetually maintain 3D models and non-graphical attribute data through time managed by a community of users based on a series of permissions and user roles. The system integrates 3D model data with attribute data and may be supplemented with published map or attribute data and / or data made available by users of the system.

A system for protecting sensitive data through vaulted and vaultless tokenization across a distributed computing environment is provided. The system includes a processor and memory containing multiple integrated modules to secure data transmission and storage. A tokenization application programming interface (API) receives sensitive data from the distributed computing environment through a network. An encryption module applies format-preserving cryptographic transformation to the sensitive data, creating encrypted data while preserving original data format and length characteristics. A tokenization engine receives the encrypted data and generates format-preserving tokens that include structural characteristics based on the sensitive data. A management module processes encrypted data and format-preserving tokens to generate cryptographic responses. An enforcement module applies authorization rules for access control based on user roles and data classification levels. The tokenization API provides the format-preserving tokens and the cryptographic responses back to the distributed computing environments according to established user roles and data classification.

A system and method are disclosed for interfacing with one or more databases using natural-language queries. The system translates a natural-language input into an intermediate formal representation, such as a Concept Query Language (CQL), which references domain concepts rather than database-specific structures. A data access subsystem maps these domain concepts to database-specific queries using a domain dictionary, enabling seamless translation across heterogeneous databases and database management systems (DBMSs). The system supports distributed data retrieval, error recovery, and dynamic query planning. A presentation subsystem formats the results into user-friendly outputs such as charts or tables. The architecture allows for modular grammar and dictionary configuration, enabling rapid adaptation to new domains, schemas, or user roles without procedural code changes. This approach improves accessibility, maintainability, and scalability of database interactions by abstracting technical complexity from end users.

The invention relates to the technical field of information retrieval, and discloses a term standardization query method and system based on a large language model, and the method comprises the steps: receiving original query, dialogue history and multi-modal input; analyzing the multi-modal input to generate an extended context; candidate aliases are extracted through natural language processing, and a domain term knowledge base is inquired in combination with a term list; adjusting the priority weight according to the user role and the real-time context; constructing a structured prompt including dialogue history, original query, extended context, candidate schemes and task instructions, and inputting a large language model to generate a replacement decision; updating the knowledge base based on user interaction data and model feedback; historical query records are stored to assist in follow-up reasoning. According to the invention, the picture, the PDF and the voice input are analyzed through the multi-modal context enhancement module, the extended context containing the term list and the semantic clue is generated, comprehensive context support is provided for term standardization, and query processing is ensured to adapt to various enterprise scenes.

Systems and methods for Role-Based Access Control (RBAC) using Large Language Model (LLM) embeddings are described. In an illustrative, non-limiting embodiment, an Information Handling System (IHS) may include a processor and a memory coupled to the processor. The memory may store program instructions that, upon execution, generate a plurality of distinct unstructured natural language documents from a same portion of structured data of an enterprise, with each document created for a corresponding role in the enterprise. The IHS may concatenate a role context vector that defines an access privilege for a document with a document vector associated with the document to produce a role-integrated document vector. The IHS may also apply pre-attention and post-attention layers to the role context vector to manage access control during document retrieval based on user roles.

Persona based modeling systems and techniques are described. In one or more examples, a user interface is displayed having a plurality of representations of a plurality of personas, each persona of the plurality of personas modeling one or more user characteristics. An input is received via the user interface as selecting a first persona and in response digital content is output via the user interface. The digital content is selected from a plurality of digital content based on the first persona. An input is then received selecting an option via the user interface to add the first persona to a second persona. A combined persona is generated based on the first persona and the second persona.

Generating a semantic synopsis is provided. A dataset comprising structured data is received and semantic analysis of the dataset is performed to determine categories of information included in the datasets. A spatio-temporal analysis of the dataset is also performed to determine time periods and locations to which the dataset applies. A static synopsis of the dataset is then generated in natural language sentences that describes semantic information in the dataset and time periods and locations covered by the dataset. The synopsis can be customized according to a user role and search query data.

The invention belongs to the technical field of artificial intelligence, and particularly relates to an AI-based file data content accurate and deep analysis and interpretation method, which comprises the following steps: acquiring multi-format file data and file meta-information, constructing an AI analysis network, extracting text semantic vectors, image visual features, table structure information and document layout features, and constructing a multi-dimensional semantic map. According to a user query intention, semantic extension is performed in combination with a domain knowledge base, an enhanced semantic description vector is generated through a graph attention mechanism, semantic reasoning and relation mining are performed by adopting an improved knowledge distillation Transform model, and a deep analysis conclusion is generated through a multi-hop reasoning model in combination with file data complexity, information density and user requirements. And generating a personalized interpretation report in combination with a user role and a task scene, and outputting an analysis result through a visual interface. Therefore, the problems of poor understanding ability, poor file adaptability and the like in the prior art are solved.

A system may include a data classification module configured to classify data into classified data based on predefined sensitivity levels and regulatory compliance requirements. A system may include an access control module configured to manage permissions for different user roles within an enterprise, granting access to the classified data in accordance with the sensitivity levels and regulatory compliance requirements. A system may include a data formatting module configured to format classified data into formatted data with customized presentations for various enterprise departments. A system may include an integration module configured to interface with at least one of an Enterprise Resource Planning (ERP) system or a Customer Relationship Management (CRM) system to retrieve and classify the data. A system may include a user interface module configured to present the formatted data within the host application, providing a seamless user experience for accessing the embedded marketplace.

The invention relates to the technical field of medical information sharing, and discloses a medical information sharing application method and system, and the system comprises a medical information collection module, a data preprocessing module, a security encryption module, a sharing strategy management module, a path optimization module, a monitoring auditing module, a data synchronization module, and a feedback optimization module. When medical information sharing is carried out, standardized medical data are encrypted and anonymized based on privacy protection requirements, and safe medical data are generated in real time by adopting homomorphic encryption and differential privacy technologies, so that whether the privacy disclosure problem occurs in the transmission process of the shared data can be dynamically verified; according to the method, the data is protected in time when being accessed and tampered in an unauthorized mode, the privacy leakage risk of a patient is reduced, a sharing strategy is dynamically matched according to user roles and permission setting information, permission control is automatically executed in combination with an attribute-based encryption technology and an intelligent contract, and the accuracy and controllability of data sharing are guaranteed.

The application provides a virtual character following movement method, device and storage medium, the method comprises the following steps: step S1, constructing a virtual space and a virtual character and a user character, obtaining the real-time position between the user character and the virtual character, and calculating the straight-line distance between the user character and the virtual character; step S2, determining whether the straight-line distance exceeds a preset value, when the straight-line distance exceeds the preset value, adjusting the state of the virtual character to a moving state, and the virtual character moves towards a target position; step S3, when the virtual character is located at the target position, detecting the current moving state of the user, adjusting the state of the virtual character to a standby state, and following the user character. In the application, the user can see and perceive the existence of the virtual character, and interacts with the virtual character.

An integrated artificial intelligence camera system provides multi-domain monitoring and enterprise automation from a single hardware endpoint. A camera assembly and auxiliary sensors, including at least one of depth, thermal, audio and environmental sensors, feed an edge compute module executing modular perception, identity, physiological estimation and domain-logic pipelines. The system detects and tracks persons, objects and activities; generates pseudonymous identity tokens for enrolled workers; estimates breathing rate and related wellness indicators from non-contact visual and thermal signals; and transforms these outputs into normalized event records annotated with security, inventory, workforce, payroll, physiological and compliance labels. A unified event model standardizes timestamps, device identifiers, site and zone identifiers, actor identifiers, metrics, confidence scores, policy tags and evidence references, enabling direct integration with payroll, inventory management, security incident and analytics platforms. A policy engine governs feature activation, anonymization and retention per jurisdiction and user role.

The invention discloses an archive informatization integration method and system based on deep learning, and relates to the technical field of computers. The method comprises the following steps: receiving a paper archive digital scanning image, paper archive layout structure information, electronic archive text data, photo archive image data, an audio and video archive and a transfer text thereof, external business system structured business data, archive original metadata fields, user identity information and user role information; and submitting a query request and a cross-modal query request by a user. According to the method, unified format analysis, text standardization, image correction and metadata verification are performed on heterogeneous archive data from different sources and different formats, so that the problems of fragmentation and non-structuring of the archive data are solved, and standardization and high-quality input of the archive data are realized; performing semantic coding on the multi-modal archive data by using a deep learning technology to generate an archive semantic vector set;

The invention belongs to the technical field of virtual reality organization ideological education, and discloses an organization ideological education application system combined with a virtual reality technology, and an interactive learning development module and a learning assistance and recommendation module can solve the problems. The interaction module creates three types of core scenes: role playing is fused with motion capture and organization related term semantic recognition, and the motion specification degree and the verbal skill accuracy are evaluated in real time; the difficulty of ideological education scene simulation is adjusted according to user roles, new organization members simplify the change process, and basic organization affair personnel add exception handling scenes and can deduce decision influence; multi-person collaboration supports 8-30-person hierarchical collaboration, a branch principal can allocate tasks, basic organization affair personnel can watch data, and points can be synchronized when the tasks are completed; the intelligent recommendation module refines four types of user roles and four types of content tags, and combines an algorithm to deduce a daily list, an NLP knowledge base and a difficulty disassembling tool to assist in real time, so that organization members can participate actively from passive learning, and the learning difficulty is accurately solved.

The invention discloses a compliance clause retrieval method based on a user role and a scene, which comprises the following steps of: constructing a mapping relationship between the user role and a weight vector as well as a term preference, and obtaining a weight vector corresponding to the current role; extracting scene feature vectors of user query and context; candidate terms are retrieved from the compliance term library, risk vectors of the candidate terms and the degree of adaptation between the candidate terms and the roles and the scenes are calculated, and then risk gains of the roles to the terms are obtained; constructing a joint scoring function according to the risk gain; solving an optimal candidate term for maximizing the target function under the budget constraint; performing scene feature clipping and user term preference optimization to obtain a final term; and generating structured list items for the final terms, scoring, and outputting in a descending order according to scores. The problem that in an existing compliance clause retrieval method, sorting is conducted only through semantic relevance, clause risk vectors and role weight vectors are not associated, and consequently high-risk clauses are hidden due to low semantic scores is solved.

Comprehensive systems and methods manage software lifecycle processes in an enterprise environment, and ensures consistent, secure, and efficient handling of software applications, packages, and distribution methods. The system features a web application interface that validates user input, enforces multi-level authentication, and manages user roles and permissions. A directory system dynamically selects stored procedures based on input data and current database structure, executing operations entirely within the database. Stored procedures enforce business logic, manage complex data relationships, support data encryption, and anonymize sensitive information. Hierarchical data structures organize records with multi-level granularity, temporal tracking, and partitioning. The database management system optimizes operations, implements automatic failover, and supports real-time data synchronization. The system also includes advanced error handling, real-time monitoring with predictive alerts, a secure audit trail, and a reporting module integrating with external business intelligence tools. Automated maintenance and disaster recovery ensure scalable, secure software lifecycle management.

This invention discloses an intelligent goods delivery route optimization method, relating to the field of intelligent logistics and delivery technology. The method comprises the following components: S1, metaverse space construction; S2, user role creation and access; S3, immersive collaborative route planning; and S4, route optimization algorithm and data-driven approach. By constructing a logistics and delivery metaverse space, this invention achieves real-time synchronization between the real world and the virtual space, including synchronized updates of order information, vehicle location, and traffic conditions. This helps logistics dispatchers perform more accurate route planning in the virtual environment. Delivery personnel can also view and provide feedback on route planning schemes through virtual roles before executing tasks, thereby achieving multi-party collaborative immersive route planning. This method can significantly improve the efficiency and accuracy of goods delivery, reducing delivery delays or errors caused by information asymmetry or poor communication.

The invention discloses a question and answer system knowledge base shunting method based on a weighted polling algorithm, and belongs to the technical field of artificial intelligence retrieval enhancement generation. In order to overcome the defects of a single knowledge base architecture of a traditional RAG system in the aspects of multi-source knowledge management, gray updating and load balancing, a cluster architecture comprising a main knowledge base, an auxiliary knowledge base and a test knowledge base is constructed, and intelligent flow distribution is achieved through a flow distribution controller. The system adopts a multi-dimensional weight calculation model, fuses a user role coefficient, a knowledge base state coefficient and a performance coefficient, and dynamically calculates the weight of each knowledge base according to a weight calculation formula; using a weighted polling algorithm to accurately distribute user requests; and automatically adjusting the weight of the knowledge base in the gray scale test period. The vector retrieval module converts questions into vectors to retrieve in a target library, and a result fusion engine resolves multi-library answer conflicts through weighted voting. After the method is applied, the update failure rate of the knowledge base is reduced from 25% to 5%, the question and answer accuracy is improved by 22%, and the response speed is improved by 40%.

The invention provides a secure transmission and display method and system for energy storage system data, and the method comprises the following steps: collecting operation data from an energy storage equipment terminal in real time through a data collection step; executing a secure transmission step, and transmitting the operation data to a cloud platform through a dynamic encryption mechanism so as to guarantee the data security in the transmission process; executing a data processing step on the cloud platform, performing decryption and permission analysis on the received data, and generating a structured data permission label based on a user role; and carrying out a dynamic display step: screening out data contents which can be accessed by the user according to the data authority label, and dynamically rendering and displaying the data contents in a terminal interface in a differential chart form. According to the method, multi-role permission isolation, dynamic secure transmission and multi-terminal visual display can be realized, and the security, the management precision and the availability of the energy storage data are effectively improved.

The invention relates to a cloud clothing 3D design method, system and device supporting multi-person online collaboration, and belongs to the technical field of clothing design, and the method comprises the steps: receiving a packaging event sent by a role client, extracting a modified parameter and a target element in the packaging event, and storing the modified parameter and the target element in the role client; the packaging event is formed by performing structured packaging on captured user role operation information by the role client; loading design rules related to the modified parameters from a constraint library, and verifying whether the modified parameters meet all constraint conditions or not; if not, generating a correction suggestion; if yes, the packaging event serves as a new node to be added into the constructed intention directed acyclic graph, whether target elements of all nodes in the graph conflict or not is analyzed, and attributes of the nodes comprise an operation ID, a user role, the target elements and an intention context; and determining a risk level according to an analysis result, and executing a corresponding conflict resolution strategy according to the risk level. The method has the beneficial effect of improving the design quality and the cooperation efficiency.

The application discloses a multi-dimension visual analysis financial statement automatic generation method and system, belongs to the technical field of financial information, and comprises the following steps: multi-source heterogeneous financial data collection and adaptive fusion processing; financial data standardization mapping and index modeling based on a preset multi-dimension label system; financial statement core index automatic calculation and abnormality checking based on dimension weight; multi-dimension visual view adaptive generation based on user role image; automatic output and audit link reservation of the financial statement and analysis report; and the application realizes automatic fusion of multi-source financial data and multi-dimension refined analysis, realizes report automatic calculation and abnormality early warning through an intelligent algorithm, adaptively generates a visual view based on a user role, and reserves a whole-process audit link, so that the efficiency, accuracy and analysis capability of the financial statement generation are greatly improved, and the needs of enterprise refined financial management and compliance management are met.

In one implementation, a device obtains a prompt from a user via a user interface that requests a network troubleshooting agent complete a task with respect to a computer network using one or more language models. The device determines instructions for the network troubleshooting agent based on a user group of which the user is a member. The device provides the prompt and the instructions to the network troubleshooting agent, to produce an answer. The device provides the answer to the user interface for review by the user.