21 results about "Relational system" patented technology

A system and method that generates and stores a multivariate time series of the user's conditions and activities, based on the interpretation of the user's natural language input through trained AI including large language models. This time series serves as a comprehensive record of the user's well-being and provides the foundation for the system's ability to identify the factors that most significantly impact the user's desired outcome. By tracking and analyzing the relationships between the various conditions and activities, the system can determine the key drivers of the outcome of interest to the user and provide insights into how to improve and maintain overall well-being.

This invention discloses a method for constructing a relationship-driven cybersecurity knowledge graph. This method, driven by relational semantics, sequentially executes the following steps: multi-source threat intelligence collection and preprocessing, relational semantic modeling, relationship-priority-driven knowledge extraction, entity alignment based on relational context, and knowledge graph construction. By constructing a relational system with entity type constraints and relational reasoning rules, it achieves complete attack chain modeling and implicit relational derivation; it employs a reverse extraction mechanism of relational identification → entity location to reduce error propagation; it introduces relational context to achieve accurate cross-source entity alignment; and finally, it establishes an indexed knowledge graph based on a graph database, supporting efficient querying and attack attribution.

The invention provides a manufacturing decision system-oriented modular functional architecture and a collaborative mechanism thereof, and the structural organization and reusable collaboration of a manufacturing decision process are realized by constructing a multi-layer capability system, a functional module system and a standardized behavior interface. The architecture comprises a data interface module, a decision-making target module, a disturbance response module and a fusion decision-making module, and defines a data flow, a control flow and a trigger relationship among the modules. The system completes target expression, constraint analysis, disturbance identification and collaborative decision generation through standardized access of multi-source data such as orders, productivity, materials and processes, and forms an interpretable and executable decision link. According to the invention, modularization, interpretability and intelligent cooperation of the manufacturing decision-making system are realized, and multi-scene and multi-industry manufacturing decision-making application is supported.

Systems and methods described herein enable adaptive, threshold-based modification of node maps representing ontologies, knowledge graphs, or code development pipelines using generative artificial intelligence. The disclosed platform can retrieve a node map and generate one or more candidate perturbations that modify nodes or relationships within the node map. The disclosed platform can evaluate the effect of the perturbations by comparing respective outputs against ground-truth data. Perturbations can be automatically determined based on changes in external datasets, compliance policies, or operational requirements. The perturbations can be implemented when a computed perturbation quality value satisfies a threshold quality criterion. As such, the system enables efficient, policy-compliant evolution of relational system architectures in dynamic environments.

Non-mechanistic, differential-equation-free approaches are provided for predicting a particular structure-activity response of a system using a reduced scale and a reduced number of variables. These approaches provide one-to-one relationships between model parameters and model output to obtain a specificity of results between model parameters and model output to get a unique input-response relationship. The systems, methods, and devices (i) reduce the cost of research and development by offering an accurate modeling of heterogeneous and complex physical systems; (ii) reduce the cost of creating such systems and methods by simplifying the modeling process; (iii) accurately capture and model inherent nonlinearities in cases where sufficient knowledge does not exist to a priori build a model and its parameters; and, (iv) provide one-to-one relationships between model parameters and model outputs, addressing the problem of the ambiguities inherent in the current, state-of-the-art systems and methods.

An asset relationship system and method store assets and related data for the asset so that it can be queried. In one embodiment, the asset and the related data may be stored in a graph database in which each node in the graph database stores a piece of asset data and each edge in the graph database encodes a relationship between the two nodes / piece of asset data to which it is connected.

Embodiments rank entity importance in monitored networks by analyzing network traffic to collect metrics representing relationships between entities. Network monitoring engines construct network graphs where nodes represent entities and edges represent relationships based on collected metrics. The system employs graph clustering algorithms to partition entities into logical clusters based on interaction patterns. Within each cluster, entities may be ranked by topological importance using metrics to identify primary entities that represent their clusters. Monitoring resources may be allocated preferentially to primary entities from each cluster. The topology-based ranking approach distributes monitoring resources throughout the network.

The application provides a display device and a switching method of a WiFi module. The method identifies a target use scenario according to an operation type corresponding to a user interaction action, and evaluates scores of each WiFi module in the scenario in real time based on performance parameters and weight coefficients recorded in a module state library. When the score of a current module is lower than a threshold value, the system automatically switches to a standby module with a higher score, and supports simultaneous operation of multiple modules. By constructing a module state library and a dynamic evaluation mechanism, the problem of poor flexibility of the WiFi module is solved. In addition, a user can customize the allocation relationship between the module and the scenario, and the system dynamically allocates resources according to priorities to prevent stuttering caused by scenario competition. The scheme considers static hardware parameters and dynamic operation indexes comprehensively, so that the system can flexibly adapt to different scenario requirements, significantly improves the use flexibility and resource utilization rate of the WiFi module, and further solves the problem of poor flexibility of the WiFi module.

A system and method for enhancing electronic health record (EHR) systems through integration of proprietary and standardized medical terminologies. Embodiments proprietary terminology concepts from electronic sources and identifies matching standardized medical terminology concepts. A knowledge graph is generated, incorporating both proprietary and standardized concepts along with their relationships. The system receives patient data, including problem lists, medication lists, and lab results. This data is analyzed against the knowledge graph to generate suggestions for the EHR system. These suggestions are then provided to the EHR system for display, enhancing clinical decision support and improving patient care.

The application belongs to the field of power dispatching system automation, and discloses a power grid dispatching control system reliability evaluation method and system based on a multi-dimensional state dependency graph. The application collects node states, slice group states, service call chains, system resource usage, and primary-backup consistency check results and other operation monitoring data, constructs a multi-dimensional state dependency graph (MDDG), and unifies the deployment relationship between nodes and slice groups, the cross-node data access relationship between nodes, the call relationship between services, the system resource competition relationship, and the primary-backup data consistency relationship into a dependency relationship structure, so as to reflect the dependency strength between various operation entities in the distributed dispatching control system, extend the system reliability evaluation from the traditional single-component or single-node level to the system overall structure level, and improve the expression capability for complex distributed architectures.

A system queries for entity data of a user from a first data source. The system displays a display panel in a user interface (UI), the display panel including measurement metrics for an account entity of the user from the entity data of the first data source. The system determines mode chaining information that specifies a chain of entity relationships between a number of entities in the entity data, where the relationships include one-to-one or one-to-many relationships. The system determines forecast information corresponding to the measurement metrics for the entities of the user. The system displays the forecast information as entity-based forecast values in the UI based on the mode chaining information, where the entity-based forecast values include a drill down of forecast values for the entities of the user.

The systems, methods, and / or instrumentalities disclosed herein can involve adjusting an automated cooperative operation based on a situation-derived constraint. A system can be configured to receive a first data stream and / or a second data stream from a first surgical element and / or a second surgical element. The second data stream can be indicative of a second output parameter associated with a complementary task. The system can determine a relationship between the first surgical element and the second surgical element based on the first data stream and / or the second data stream. The system can determine a boundary parameter associated with the second output parameter based on the first output parameter and / or the relationship. The system can communicate an indication of the boundary parameter to the second surgical element. The system can cause the second surgical element to perform the complementary task based on the boundary parameter.

A request that specifies a logical address associated with a host-initiated operation directed at a first portion of a memory device is received. A logical to physical (L2P) table is accessed. The L2P table comprises a mapping between logical addresses and physical addresses in a second portion of the memory device. An entry in the L2P table that corresponds to the logical address is identified and is determined to point to an entry in a read cache table. Based on an entry number of the entry in the read cache table, a chunk address of a chunk from among multiple chunks of a read cache is calculated. A physical address that corresponds to the logical address specified by the request is identified by accessing the chunk of read cache. The host-initiated operation is performed at a physical location within the first portion of the memory device corresponding the physical address.

Embodiments of the present disclosure relate to comparing network topology, state, and configuration at different time instances. A network management system for orchestrating a network is provided. During operation, the system generates a graph representing the network. Respective vertices correspond to entities in the network, and respective edges indicate relationships between pairs of vertices. The system can determine, for respective edges, first and second timestamps. The first timestamp indicates a time instance when the relationship indicated by the edge was established. The second timestamp indicates a time instance when the relationship was terminated. A time range between the first and second timestamps indicates a valid time period for the edge. The system then receives, from an interface of the system, an instruction to compare topology, state, and configuration of the network. The system determines, by traversing valid edges of the graph, a topology, state, and configuration of the network at a target time instance indicated by the instruction.

The invention provides a traditional Chinese medicine cross-language aided translation system based on artificial intelligence, and belongs to the technical field of traditional Chinese medicine translation. The traditional Chinese medicine cross-language aided translation system based on artificial intelligence comprises a data acquisition module, a semantic recognition module, a semantic correction module, a translation strategy output module and a translation evaluation module. The system can track semantic distance changes between term translation and historical standards in real time, a translation migration file is established for recognized deviations, the corresponding relation between word meaning drift paths and contexts is recorded, the system can judge whether the deviations belong to common error types or not, rapid error correction is conducted on the basis of a term evolution database, and therefore the accuracy of term translation is improved. The mechanism does not depend on a fixed dictionary rule, but performs combined judgment according to factors such as a semantic change trend, a context structure adaptation degree and the frequency of historical deviation behaviors, so that the intelligence and the adaptability of deviation judgment are greatly improved, and the self-correction capability and the fault tolerance of a translation system are remarkably improved.

A system may display a Graphical User Interface including a source region presenting a plurality of source data-serialization elements and a destination region presenting a plurality of destination data-serialization elements. The system may receive a user input associating a first destination data-serialization element, of the plurality of destination data-serialization elements, and a first source data-serialization element of the plurality of source data-serialization elements. Responsive to receiving the user input, the system may generate and store a mapping expression that defines a mapping association between the first source data-serialization element and the first destination data-serialization element. The system may present in a mapping region of the GUI displayed concurrently with the source region and the destination region, a mapping element representing the mapping association between the first source data-serialization element and the first destination data-serialization element.

The system receives a message from a user, along with a recipient list and generated personalized messages for recipients of the recipient list. The system determines the format of the message, and whether to, and how to, modify the message based on information about the recipient. For example, a recipient category may be used to determine how to personalize a message for each recipient. A relationship between a sender and recipient may be determined using, for example, a database of relationship information. The system modifies, for example, text, images, or video of the message to generate the personalized message. The system may access historical communications records such as a chat group record, a contacts list, a text message record, an email message record, a social media post record, or a comments record corresponding to a media content item to determine how to personalize a message.

Methods and systems for managing heterogeneous cloud resources are provided. The method includes normalizing heterogeneous data for provider-specific resources into a normalized data model that maintains relationships between components. A service request specifying an application is received. An orchestration sequence for the application is determined by analyzing the normalized data model to identify a subset of provider-specific resources for an infrastructure and day-2 environment of the application, and generating a process workflow. The orchestration sequence is executed by configuring the subset of provider-specific resources according to the process workflow. The method enables efficient orchestration of diverse resources across heterogeneous provider environments using a unified data model and workflow generation approach.

A system for framework selection for task execution is provided. Framework records of various frameworks are analyzed and based on the analysis, a translation instruction set is generated for each framework to translate an operation from a predefined format to a format associated with the corresponding framework. The most suitable framework is determined for a particular operation. A mapping between various operations and the most suitable framework for each operation is generated. During task execution, multiple natural-language tasks are derived from a natural-language task description. Each natural-language task is translated into a neo-syntax operation. Based on the mapping, a suitable framework is selected for the execution of each neo-syntax operation. The operations are translated to the syntax of the suitable frameworks by using the corresponding translation instruction set. A task output for the natural-language task description is generated based on the execution of the translated operations.

This disclosure provides a method, apparatus, electronic device, and storage medium for configuring system role function permissions, relating to the field of software system technology. The method includes: obtaining a system use case diagram of the system to be configured, the system use case diagram containing the following elements: actors, use cases, relationships between actors, relationships between actors and use cases, and relationships between use cases; generating relationships between system roles and a system function list within the system to be configured based on the system use case diagram, where system roles are determined based on actors in the system use case diagram, and the system function list contains one or more system functions determined based on use cases in the system use case diagram; and configuring corresponding function permissions for the system roles within the system to be configured based on the relationships between system roles and the system function list. This disclosure can analyze the function permissions corresponding to each role within the system based on the system use case diagram, thereby quickly generating and automatically updating the system's role function permissions.

Methods and systems for managing heterogeneous cloud resources are provided. The method includes normalizing heterogeneous data for provider-specific resources into a normalized data model that maintains relationships between components. A service request is received, and an orchestration sequence is determined based on the request and the normalized data model. This involves analyzing the model to identify a subset of resources called for by the request and mapping dependencies to generate a process workflow. The orchestration sequence is then executed by configuring the subset of resources according to the workflow. The normalized data model enables efficient orchestration across heterogeneous environments while maintaining relationships and dependencies between resources.