18 results about "Structured systems" patented technology

The invention provides a regional wind field multi-source heterogeneous work order data fast structuring system fused with a large language model, which comprises a plurality of modules, and is characterized in that a data input module receives various work order images; the OCR layout recognition module comprehensively recognizes the data, extracts key information, determines a spatial position and outputs text fragments with coordinates and layout anchor point information, and the rule field extraction module recognizes format category fields from the text fragments and calculates rule matching confidence; the semantic field recognition module recognizes descriptive fields from unstructured content and outputs related confidence information, the fusion decision module calculates final confidence of field candidates according to a predetermined function and judges output or complementation according to a threshold value, and the data consistency verification module is connected with an asset database to verify key information. The data complementation module generates complementation candidates and confidence coefficients, the man-machine collaborative closed-loop module pushes suggestions and receives feedback, and the result output module outputs standardized data. According to the method, the multi-source heterogeneous work order data can be effectively processed.

The application discloses a compliance intelligent identification method based on express package signing position photos, and relates to the technical field of intelligent express logistics, comprising the following steps: receiving the express package signing position photos to be audited, calculating the boundary box and confidence score of the express package signing position photos to be audited by using a lightweight target detection model based on a YOLO architecture, setting a confidence threshold, and detecting whether there is an express package in the express package signing position photos to be audited; based on the judgment of whether the express package signing position photos to be audited are compliant, designing a structured system prompt word, training a Qwen2.5-VL open source multi-modal large model, and generating a compliance judgment result of the express package placement position; the system generates a final audit conclusion, if the audit conclusion is compliant, the audit passing record is automatically completed, if the audit conclusion is not compliant, the non-compliant reason is automatically fed back to the business front end, the express messenger is prompted to correctly shoot the express package position photo, and the compliance intelligent identification of the express package signing position photo is realized. The application realizes resource optimization.

Techniques can include: receiving writes from applications executing on hosts; recording, the writes in entries in a log; and flushing, from the log, the entries denoting the write operations, including: segregating content written by the write operations into streams, wherein each of the streams corresponds to one of a plurality of classes or types of data associated with one of a plurality of I / O profiles characterizing said each stream and said one class or type of data; and for each of the streams corresponding to one class or type of data associated with one I / O profile, persistently storing a corresponding portion of the content in one of a plurality of sub log structured systems (LSSs) used for only storing data of the one class or type that corresponds to said each stream.

An end-of-line test method and system are disclosed. The test system includes an upper-level computer, a test device, and a test requirement structured system. The upper-level computer in the test system obtains an initial test formula from the test requirement structured system in response to a test formula download instruction, where the test requirement structured system is configured to generate the initial test formula based on a test item requirement, and the initial test formula includes related information of the test item requirement. Then, the upper-level computer converts the initial test formula into a target test formula in an extensible markup language format. Finally, the upper-level computer controls, based on the target test formula, the test device to test a product to obtain a test result.

This invention relates to a method, apparatus, and electronic device for extracting information from a building quality inspection report. The method includes: constructing a structured system for the information to be extracted, the structured system comprising macroscopic building information as entity identifiers and fine-grained technical parameter information belonging to each building entity; parsing and processing the input building quality inspection report to obtain a set of multiple information-carrying processing units; extracting macroscopic building information representing all building objects to be analyzed within the report from the processing unit set based on a preset first retrieval strategy; generating an extraction context corresponding to each building object based on the extracted macroscopic building information; and, based on the extraction context and according to a second retrieval strategy, selectively retrieving and extracting fine-grained technical parameter information belonging to the corresponding building object from the processing unit set. This invention effectively solves the information confusion problem in multi-entity nested reports and achieves accurate extraction of structured data.

A governance-structured system embodied in non-transitory machine memory determines whether candidate information may exist as internal system state prior to execution or control. The system defines categories of knowledge entities that establish admissible state spaces constraining representational boundaries and state dimensions. Candidate information from sensors, external systems, or computational models is evaluated solely for representability within such state spaces, and non-representable information is treated as non-existent. System operation semantics are derived exclusively from governance-qualified knowledge-entity states. Control or automated actions, when present, consume such states as downstream inputs without defining or altering state existence. The architecture provides a stable semantic foundation for intelligent and distributed systems by governing state existence independently of execution behavior.

The invention discloses a laser cutting equipment after-sales intelligent training method and system based on a knowledge graph, and the method comprises the steps: constructing a laser cutting equipment after-sales knowledge graph fusing quantifiable parameters, and converting fragmented maintenance knowledge into a structured system; generating a systematic training content library based on the knowledge graph; initial training content is distributed according to post attributes of students, and a digital user portrait is constructed by collecting interaction data; dynamically matching the user portrait with a training content library to calculate an adaptation degree; and screening personalized training content for the trainee according to the adaptation degree, and continuously optimizing a user portrait and matching logic based on feedback data. The technical problems that in the prior art, training knowledge is fragmented, trainee ability evaluation is fuzzy, and training content lacks personalized adaptation are solved.

The present application relates to a kind of slurry interface microplastic recovery system and control method, fully consider the mixed scene of microplastic particles in slurry, design the device structure under the link of collection, stirring, slurry filtration, microplastic filtration, achieve the full design and efficient application of each link, and then the application of structure under global contact, microplastic particles in slurry are efficiently extracted;While the present application further designs the control method based on structured system, emphatically analyzes and designs slurry filtration link and microplastic particle extraction link, by repeatedly filtering slurry, fully separates the dirt in it and the liquid containing microplastic particles, while for each level microplastic filtration device, based on the structure design, the microplastic particle separation method under the joint action of plastic desorption liquid and protective gas is further improved the extraction efficiency of microplastic particles in slurry;The present application scheme is efficiently matched between structure and method, in practical application, microplastic particles in slurry are efficiently extracted.

The disclosed computer program product and method of use provides a system for managing, controlling, and displaying multi-modal translations of digital content through a structured system which includes both moderator and user interfaces. This system and method permits a moderator to isolate portions of digital content, and to upload various translations thereof. A plug-in module provides a translation display window that allows a user to select from and control visual and / or auditory representations of the translation from a variety of languages as well as request additional translations be provided.

The system metadata exploration service is directly embedded in a distributed data storage system to enable presentation of structured system metadata using a relational data model and dynamic mapping of structured system metadata to relational tables, all without incurring an additional snapshot and copy overhead, thus avoiding utilization of additional nodes and reducing the resources requirements. The system metadata analytics enables the use of the SQL interface for exploring system metadata, thus enhancing system adaptability and flexibility.

The invention belongs to the technical field of digital reading services, and discloses an all-media digital reading service system, which unifies each modal format and adds knowledge anchor points through an acquisition and feature extraction module, and constructs a double-layer knowledge graph of basic static knowledge and difference real-time knowledge through a cleaning and semantic fusion module. A structured system is formed according to knowledge levels of basic concepts, principle derivation, application cases and expansion and extension, and semantic coding and knowledge point entity association is completed in combination with a BERT model; when a user inquires knowledge points, the system can automatically match multi-mode resources such as text analysis, experiment demonstration videos and formula derivation audios, manual switching retrieval is not needed, the stepped knowledge acquisition requirement is perfectly met, and the problems that cross-media knowledge is loose in association and low in acquisition efficiency are solved; the modeling and behavior analysis module collects user full-scene data, constructs three layers of user portraits including basic attributes, dynamic demands and cross-modal preferences, and can also mine behavior implicit demands.

The invention relates to the technical field of economic data analysis and decision support, and discloses a hierarchical and hierarchical economic development influence factor decomposition method and system based on an LASSO model and a panel fixing effect model.The method comprises the steps that a multi-level panel data structure comprising a region layer, an industry layer and an enterprise layer is established, and economic index data of all levels are collected; performing standardized preprocessing on each level of data, wherein the standardized preprocessing comprises missing value filling, abnormal value processing, dimension unification and fixed effect elimination; based on the preprocessed data, adopting an LASSO regression model to determine regularization parameters, and screening key explanatory variables in a layered manner; inputting the screened variables into a panel fixed effect regression model, and quantifying marginal effect coefficients of the variables for economic development target indexes; calculating the contribution rate weight of the key variable at each hierarchy, and constructing a cross-hierarchy influence path difference graph. According to the method, structured and systematic identification of a multi-dimensional variable influence mechanism in an economic system is realized.

The application discloses an intelligent planning and evaluation system for personalized learning paths, and relates to the technical field of digital data processing.The system comprises the following modules: a user portrait module that constructs and dynamically optimizes a user model through multidimensional data collection and algorithm analysis; a resource library module that constructs a structured system according to disciplines, levels and types and correlates indexes; a path planning engine module that generates personalized learning paths by fusing algorithms; a learning process tracking module that collects and analyzes learning behavior data in real time; a dynamic evaluation module that establishes a multi-dimensional index system to quantify learning effects; a feedback adjustment module that generates targeted optimization suggestions; and a visual interactive module that graphically displays information and supports multi-terminal adaptation and path customization.The application realizes closed-loop optimization of the learning process by combining precise user portraits and personalized path planning with dynamic evaluation and feedback adjustment, and the resource adaptation is accurate, the learning efficiency and effects are significantly improved, and the personalized learning needs of different learners are effectively met.

The disclosed computer program product and method of use provides a system for managing, controlling, and displaying multi-modal translations of digital content through a structured system which includes both moderator and user interfaces. This system and method permits a moderator to isolate portions of digital content, and to upload various translations thereof. A plug-in module provides a translation display window that allows a user to select from and control visual and / or auditory representations of the translation from a variety of languages as well as request additional translations be provided.

The application discloses a complex network strong structure controllability analysis method and device with same subsystems, and the method comprises the following steps: firstly, establishing a structured system model of the complex network system with same subsystems to determine whether the related system is strong structure controllable, if not, the complex network system is not strong structure controllable; if yes, determining whether the subsystem is a single-input single-output subsystem, if not a single-input single-output subsystem, determining whether the subsystem is strong structure input state observable, if yes, the complex network system is strong structure controllable; if not, the strong structure controllability of the complex network system cannot be determined. If it is a single-input single-output subsystem, determining whether the subsystem is strong structure controllable and observable, if yes, the complex network system is strong structure controllable; if not, the complex network system is not strong structure controllable.

The application provides a clock control topology graph automatic generation method and device of an SoC architecture, effectively solving the problem that existing system configuration tables of an SoC cannot be converted into a structured system architecture topology graph to meet the requirements of efficient and reliable automatic design. A system configuration table of a clock control system of an SoC architecture is obtained, and the system configuration table is processed in multiple dimensions according to the combination of peripheral main bodies and clock types to obtain a target attribute set with a hierarchical relationship. The target attribute set is subjected to dynamic resource conflict merging and bit width calculation, respectively, to obtain a corresponding multi-path selector and the minimum control signal bit width thereof. According to the feature fingerprints in the target attribute set, two-dimensional optimization matching is performed in a preset component template library to obtain an optimal basic port architecture template. The minimum control signal bit width, the optimal basic port architecture template, and multiple graph element instantiation parameters are instantiated and bound to obtain a target topology graph file.

The present disclosure provides a system for optimizing network performance based on correlated multi-source experiential feedback. The system includes a data pipeline comprising a telemetry ingestion module configured to collect structured system data and a natural language parser configured to extract sentiment-weighted indicators from unstructured user feedback data. An analytical artificial intelligence (AI) module identifies patterns and anomalies in the data. A correlation AI engine generates time-aligned embeddings and computes relationships between network events and user dissatisfaction. A generative AI module produces system modification recommendations based on correlation engine outputs. An action operator automatically deploys configuration changes to infrastructure nodes, monitors outcomes, and triggers rollback operations in response to performance regressions, without human intervention.

The present disclosure provides systems and methods for generation of parsing scripts or rules for unstructured or semi-structured system log messages, including systems and methods for identifying and clustering of same or substantially similar system log messages using machine learning. Patterns indicative of the same or substantially similar types system log messages can be generated based on the clustering of the system log messages and calculated similarities of attributes or distances between common features / fields of the system log messages, with the results of the clustering presented for analysis and development or adjustment of parsing scripts.