807 results about "Data structure" patented technology

The application provides an automatic disk IO method based on structural mechanics CAE simulation software, comprising the following steps: S1, constructing a memory-disk cooperative computing framework, and dynamically monitoring a data access state in a simulation solving process; S2, automatically exchanging non-active core data structures to a high-performance disk according to a data access frequency, a life cycle and a memory pressure; S3, loading back to the memory on demand when subsequent calculation needs to access the data exchanged to the high-performance disk; wherein the core data structures comprise a stiffness matrix, shape function data, an intermediate result vector and derivative physical quantities, and the exchange process is transparent to the solver. According to the application, the exchange process is highly transparent to the core computing logic of the solver, is automatically managed by the system, and does not need user intervention, so that efficient utilization of memory resources and stable operation of super-large-scale model simulation are realized.

The application discloses a PDF file editing method and device based on a Web end and related media, and the method comprises the following steps: carrying out hierarchical analysis on document data to obtain pagination resource data, carrying out object analysis on the pagination resource data to obtain a page object model, calculating a unified display matrix of a page space to a device space and rendering to a canvas, superimposing an interactive editing layer to respond to an editing operation and synchronously mapping to the page object model, adapting display transformation parameters of an annotation object, extracting an object operation marked as changed and outputting incremental operation data by page aggregation. The application takes the page object model as a unified data core, runs through the multi-thread cooperative processing of hierarchical analysis, object modeling, unified display matrix transformation and rendering, interactive editing synchronous mapping, annotation display transformation parameter adaptation and incremental operation data output, and makes each link consistent in data structure and coordinate system, so that the precision of editing the PDF file on the Web end is improved.

A technique creates entries in a spatiotemporal data structure that describe objects and activities in videos captured by a plurality of cameras. For instance, each entry in the spatiotemporal data structure includes different kinds of embeddings associated with a particular video captured by a camera. Each entry is further associated with a particular pose in a three-dimensional map and a particular time. In some implementations, the different kinds of embeddings include text embeddings, audio embeddings, and action embeddings, all produced using a neural network (such as a multi-modal language model). Another technique interrogates the spatiotemporal data structure by: receiving a query; mapping the query into query embeddings using the neural network; finding a particular entry in the spatiotemporal data structure that matches the query embeddings; and retrieving information associated with the particular entry.

This invention discloses a connectivity extraction method and system incorporating a dynamic parallel strategy. The method includes the following steps: extracting the target GDSII file and generating polygon edge sets as intermediate data structures; partitioning the layout, dividing the edge sets into partitioned layout sub-units; dynamically selecting a parallel strategy based on the edge set size of each layout sub-unit; executing a serial scanline algorithm and a thread-level parallel scanline algorithm based on the selection result; and constructing and updating the connectivity graph. This invention can handle connectivity extraction problems in layout and schematic consistency and electrical rule checks, fully utilizing hardware resources and reducing labor and time costs.

This invention provides an intelligent operation and maintenance system for prefabricated substations based on big data, belonging to the field of prefabricated substation operation and maintenance technology. The data access unit unifies the time alignment of electrical operation, environmental monitoring, and historical operation and maintenance data, constructing a constrained time-series data structure based on equipment topology; the state evolution modeling unit extracts multi-scale features, generating three sets of evolution parameters: impedance, capacity, and load; the control variable reconstruction unit generates enhanced control input vectors through component mapping and iterative feedback; the real-time control execution unit outputs reactive power regulation and voltage control commands accordingly; and the human-machine feedback unit embeds manually corrected information and updates control parameters. This invention solves the problems of lack of topological constraints in multi-source data and the difficulty of embedding human experience into automated control, improving the intelligence level, control accuracy, and adaptability of prefabricated substation operation and maintenance.

The present application relates to the technical field of log field processing, and provides a log field processing method and system based on a description model and a pluggable strategy to solve the problems of inflexible configuration, insufficient performance and difficulty in dynamic updating commonly faced by log field processing technologies.The log field processing method based on the description model and the pluggable strategy comprises receiving current log data and structurally analyzing the same to obtain a log data structure description model; reading pre-generated structured field processing configuration data and analyzing the same to determine a field path to be processed in the current log data, locate a target field to be processed in the log data structure description model, call a corresponding independently encapsulated pluggable field processing strategy unit, and then execute a corresponding field processing operation, write the processed field value back to a corresponding field position in the log data structure to update the log data content, and meet the log field processing requirements in modern high-concurrency and complex business scenarios.

Methods, apparatuses, system, devices, and computer program products for structuralizing unstructured user data for analysis using AI are disclosed. In a particular embodiment, a controller receives, from a user, one or more documents containing unstructured data that identifies one or more entities. The controller generates structured data from the unstructured data by applying the unstructured data to an AI model. The controller generates one or more entity profiles corresponding to the one or more entities based on the structured data using the AI model. The controller stores the one or more entity profiles in a database that includes a plurality of entity profiles corresponding to different entities. In response to a user query received by the controller, the controller generates information describing a particular entity based on an AI-driven analysis of the plurality of entity profiles in the database.

The application provides a time-triggered protocol network planning method, system and storage medium for an aviation power supply system. The network architecture adopts a hardware-level dual-redundancy design, each communication node is configured with two independent TTP physical interfaces and corresponding TTP subcards, and is connected to logically independent TTP A network and TTP B network respectively, so that channel-level fault isolation is realized. The planning method comprises the following steps: classifying messages according to power supply system services and defining transmission periods; initializing a cluster and setting time parameters such as a TDMA period and a cluster period; packing messages with consistent periods and reserving extension bits in a data structure; calculating time slot capacity based on transmission rate, node number and TDMA period, and generating a deterministic message scheduling table. The application guarantees high communication reliability through dual-network redundancy, meets the real-time requirements of various messages such as control and alarm through systematic scheduling, improves the scalability of the network through reserved extension bits, and is suitable for aviation power supply systems with strict communication performance requirements.

A queue application programming interface (QAPI) in a first data center receives incident messages, each with an incident identifier. The first data center is in communication with additional data centers. The messages are either ordered or unordered. Ordered messages must be processed in the order received, while unordered messages do not. The QAPI transmits the messages to a message stream data structure. A first worker sub-system retrieves unordered messages from the message stream for processing. In parallel, the QAPI transmits the messages to a group stream data structure which arranges the messages into groups. A second worker sub-system retrieves groups of ordered messages for processing. At least one of the first or second worker sub-systems is associated with the additional data centers.

Provide a system. 【Solution means】 Means for recognizing a company's specific data structure and extracting appropriate information, Means for analyzing the extracted information and generating statistical insights, Means for incorporating the analysis results into a document in a format conforming to the company's standard format, Means for modifying the document in real time in response to instructions from the outside, Means for dynamically generating and updating documents for presentation, Means for providing schedule adjustment and notification to the person in charge, Means for collecting information within the data center and detecting abnormal operations, Means for automatically creating the generated report and providing it to the administrator, A system including the above.

The present application relates to a kind of file cross-page table restoration method and device, belong to data processing technical field, by column topological feature matching and line index benchmark offset algorithm, realize the seamless logical reorganization of physical fragmentation table in global data structure, restore the logical continuity of business data;Adaptive modal shunt mechanism is constructed, accurately distinguish electronic and visual modal and call exclusive processing path, avoid the waste of computing power and secondary error caused by blindly calling visual model;Strong geometric constraint processing is applied to the preliminary extraction result of double-path heterogeneous, which is forced to be normalized to standard closed physical grid structure, greatly enhance the robustness of system to deal with complex layout such as broken line and dashed line, decouple the front-end extraction mode and the spatial logic mapping of rear end, significantly reduce the engineering integration difficulty of system, so as to realize the high-quality, automated restoration of complex cross-page table in mixed document scene.

The present application relates to a kind of biological image online retouching method and system supporting natural language interaction, belong to image auxiliary processing technical field.Wherein, the method includes: based on recursive data structure analysis matrix, the multi-level channel tensor is structured storage as key-value pair dictionary, and output lightweight browsing compatible data string;Multi-modal visual rendering model is constructed, and image attention weight is aggregated layer by layer, and text-image semantic correlation diagram is obtained;Based on vector database semantic matching library, the cosine similarity of high-dimensional embedding vector and candidate vector in vector database semantic matching library is calculated, and user retouching matching scheme is generated;Establish adaptive online feedback optimization mechanism, use user feedback as reward signal to adaptively adjust semantic similarity matching threshold and vector space distribution, assist in correcting semantic retrieval parameter, and convert browser end contour rendering image into interactive real-time visual output image.

Techniques are disclosed relating to extracting data from a document, using a large language model (LLM), to populate fields in a data structure. A computer system may receive a request to populate multiple fields of a data structure with data extracted from text of a document. The computer system parses the text using an LLM (as well as regular expressions or other parsing techniques in some embodiments). The parsing includes issuing, to the LLM, a sequence of queries targeting individual ones of the multiple fields. The computer system applies a validation algorithm to results received from the LLM in response to the sequence of queries. The validation algorithm confirms the presence of results in the text of the document and populates the data structured with the validated results. In various embodiments, the computer system performs an optical character recognition (OCR) on the document to determine the text for parsing.

Techniques are disclosed for a tree data structure capable of storing information indicative of a database key. A computer system is capable of operating the database. The computer system can store a multi-level tree data structure usable to perform key lookups on the database. In various cases, the multi-level tree data structure can be stored in system memory as multiple subtree data structures, each including a set of linked nodes. A given one of the multiple subtree data structures can be stored in system memory as a respective contiguous block of information. The computer system can access the respective contiguous blocks for a first specific subtree data structure that encompasses a particular range of levels in the multi-level tree data structure. This access can be performed without accessing one or more other subtree data structures that encompass one or more levels within the particular range of levels.

The present invention relates to an event-driven Extract-Transform-Load processing system and corresponding method that enable real-time synchronization of data originating from multiple heterogeneous and asynchronously operating data sources. The invention implements a machine-implemented processing approach in which data events dynamically trigger transformation determination, synchronization execution, and multi-stage computational validation without reliance on predefined batch schedules. Transformation operations are adaptively selected based on contextual data characteristics, historical synchronization behavior, and dynamically adjustable precision thresholds, thereby ensuring accurate data alignment under evolving data structures and operating conditions. The system further performs sequential validation of structural conformity, temporal consistency, and cross-source relational integrity prior to permitting data persistence or downstream transmission.

This invention relates to a multi-agent orchestration and execution method supporting complex cyclic graph structures, comprising: S1: receiving workflow configuration and constructing a directed graph data structure; S2: performing a depth-first search traversal on the directed graph data structure, detecting and outputting strongly connected components in the directed graph data structure; S3: abstracting strongly connected components containing multiple nodes into super nodes, and keeping single-node strongly connected components as ordinary nodes, thereby constructing a directed acyclic graph containing super nodes; S4: performing topological sorting on the directed acyclic graph to generate a hierarchical execution plan containing multiple execution layers; S5: scheduling execution items according to the hierarchical execution plan, and when an execution item is the super node, starting a loop executor for iterative execution. This method, by constructing a multi-layered technical system, integrates graph algorithm innovation, unified context management, abstraction layer design, metadata-driven techniques, etc., to achieve automated orchestration and execution of multi-agent workflows supporting cyclic graph structures.

A system, method, and computer program product for communicating between a baseboard management controller (BMC) and a host processing module (HPM) are provided. A PCIe endpoint receives packets, such as TLPs, over a first communication interface from a BMC, where payloads in packets include transactions. The PCIe endpoint extracts the transactions from the payloads of packets. An address decoder decodes, using information in the transactions, addresses of the memory spaces corresponding to physical functions of the PCIe endpoint and second communication interfaces. The memory spaces store the transactions according to the decoded addresses. The second communication interface receives the transactions from the memory spaces and transmits the transactions to the HPM.

The present disclosure relates to a method and device for creating a picture-in-picture, an electronic device and a storage medium, comprising: obtaining an association relationship between nodes to be displayed, defining a canvas template according to the type of the nodes, defining a node and a canvas creation interaction component in the canvas template, and binding the canvas template and the creation interaction component to the node type; loading the canvas template and parsing the data structure of the canvas template, the data structure receiving attribute information of the nodes; in response to a canvas creation action, executing a canvas creation function to create a canvas; in response to a node creation action, executing a node creation function to create a node in the canvas, the canvas loading the association relationship between the nodes and rendering a relationship diagram between the created nodes, and the created node loading a canvas template of a node associated with the created node through a jump link to render a new canvas. The present disclosure improves the creation efficiency of the nodes and the canvas, and ensures that the association relationship between the nodes can be accurately presented in multiple canvases.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for table detection using text streams. One of the methods includes detecting, in a text stream and using column identification data, text for one or more cells in a table; creating, using the text for at least some of the one or more cells in the table, a data structure for the cell a) that associates two or more values from the table and b) for use by a downstream system as part of a natural language analysis process of data from the text stream; and storing, in memory, the data structure.

This application relates to a register monitoring method, apparatus, system, chip, and chip module. Applied to a register monitor located on a transmission port of an on-chip bus, the method includes: obtaining multiple access events of at least one target master device accessing a register from a cache queue of the on-chip bus; packaging the multiple access events according to a preset trace data structure to obtain a trace data stream; the trace data stream is used to monitor the register access behavior. This method enables register monitoring.

The present application relates to a kind of metadata-driven two-dimensional standard data automatic storage method, belong to coal mine informatization technical field, including the following steps: S1: construction metadata system and define two-dimensional standard data model specification, generate standardization data model specification document, the metadata system includes data structure metadata, constraint metadata and storage adaptation metadata, the model specification is clear two-dimensional data's row dimension rule and automatic storage trigger condition;S2: by ETL tool, establish target data with the dynamic mapping association of the data model specification, generate and include field mapping relationship, conversion rule and storage routing information's mapping configuration;S3: based on the data model specification and mapping configuration, trigger automatic storage process, including automatically parsing model specification generation storage structure, automatically match storage medium, automatically execute data write and check, realize the automatic storage of two-dimensional data.

Mechanisms, including systems, methods, and media, for processing sub-indirection unit sized data in a solid-state drive (SSD) are provided, the methods including: identifying, in a first portion of storage of the SSD, a plurality of indirection units each containing sub indirection-unit-sized data and padding; combining the plurality of indirection units into a page-size data structure using a hardware processor; copying contents of the page-sized data structure to a second portion of storage of the SSD; and updating a data structure relating logical address of data to physical locations of data so that an entry corresponding to the sub-indirection-unit sized data of one of the plurality of indirection units changes from having a physical address in the first portion of storage to having a physical address in the second portion of storage.

Systems and methods of selecting digital platforms for execution of voice-based commands are provided. The system receives an application that performs an action associated with a service via digital platforms. The system debugs the application to validate parameters of the action on at least two platforms of the digital platforms. The system receives data packets comprising an input audio signal detected by a sensor of a client device, and parses the input audio signal to identify the action and the service. The system selects a first platform from the digital platforms to perform the action. The system initiates, responsive to selection of the first platform, an interactive data exchange to populate parameters of an action data structure corresponding to the action. The system executes the action via the selected platform using the action data structure.

The application relates to an AI large model access method and system, a storage medium and electronic equipment, and relates to the technical field of artificial intelligence. The method comprises the following steps: if an AI large model selection instruction sent by a terminal is not received, determining the intention complexity corresponding to a target prompt, and selecting a target AI large model adapted to the intention complexity from all to-be-called AI large models; adding a target Token label in the target prompt to obtain a labeled target prompt; based on a preset standard metadata structure, converting the labeled target prompt into a standard parameter, converting the standard parameter into specific manufacturer parameters corresponding to the target AI large model; forwarding the specific manufacturer parameters to the target AI large model, receiving an output result of the target AI large model, processing the output result to obtain a processed result, and sending the processed result to the terminal. The application has the effect of reducing the AI large model access difficulty.

Various embodiments include techniques for translating memory addresses in a virtualized computing system that hosts multiple virtual machines. In such a virtualized computing system, conventional approaches for translating a guest virtual address to a system physical address can involve a large number of memory accesses. With the disclosed techniques, address translation can be reduced to approximately 5 memory accesses. This performance savings results from storing two data structures in high-speed on-chip memory that indicate which system physical address segments are mapped to and valid for the virtual machine that is accessing the memory segment. A third data structure indicates whether a system physical address segment is a protected / secure system physical address segment. If the virtual machine already has access to the segment, then confidential / secure compute policies can be applied on the accesses from this virtual machine based on whether this system physical segment is protected / secure.

A data structure and associated methods for analysis of a continuous 1,197,000-letter unvocalized Hebrew string referred to as the Word of God (WOG). The data structure contains only the twenty-two classical Hebrew letters and their five final forms, with no spacing, punctuation, vowelization, or editorial symbols. Intrinsic placement of the final letters enables deterministic segmentation of the string into 305,490 lexical units and 23,206 verses without external conventions. Fixed letter-number assignments provide a numeric architecture for evaluating substrings, detecting alterations, identifying encoded mathematical correspondences, and performing pattern analysis. The system preserves full semantic range by supporting multiple morphologically valid interpretations of unvocalized Hebrew strings. Methods for segmentation, numeric evaluation, reconstruction, integrity verification, semantic analysis, and mathematical pattern detection are provided thereby providing a reproducible foundation for computational and linguistic research.

This disclosure provides a mapping table caching control method, a mapping table query method, and related apparatus. The method includes: when the current mapping relationship is continuous with the previous mapping relationship cached in the memory controller, incrementing the continuity count by 1 and caching the current mapping relationship in the memory controller; when the current mapping relationship is not continuous with the previous mapping relationship, comparing the continuity count with a preset threshold; if the continuity count is greater than the preset threshold, organizing the continuous mapping relationships cached in the memory controller using a combination of a first data structure and a linked list and storing them in a first mapping table cache unit; clearing the continuous mapping relationships cached in the memory controller; caching the current mapping relationship in the memory controller and setting the continuity count to 1; the preset threshold is a positive integer greater than 1, which improves storage space utilization and the efficiency of updating the mapping table, and reduces the table refresh frequency.

This invention relates to the field of facility durability assessment technology, and in particular to a life-cycle durability assessment system for cross-sea bridges in highly corrosive coastal environments. The system includes: a multi-source heterogeneous data acquisition module, used to acquire corrosive environment data, structural response data, component apparent damage data, and historical material performance data through a sensor network, image acquisition equipment, and database deployed on the bridge body and its environment; a data fusion and spatiotemporal registration module, connected to the multi-source heterogeneous data acquisition module, used to clean, align, and standardize the acquired heterogeneous data, and establish a mapping relationship between environmental exposure, material damage, and structural response; and a full-link intelligent system encompassing data perception, fusion analysis, AI prediction, dynamic calibration, and assessment decision-making. Through the fusion of physical mechanisms and data-driven approaches, this system achieves a fundamental shift in cross-sea bridge durability assessment from experience-based judgment to accurate prediction, and from passive maintenance to proactive operation and maintenance.

This disclosure provides systems, devices, apparatus, and methods, including computer programs encoded on storage media, for histogram-based frame dropping for smooth motion. A display processor may be configured to generate a data structure indicative of a spread of color tones between a set of image frames associated with a first frame rate of a source application. The display processor may also be configured to output a rate-matched set of image frames at a second frame rate associated with a display panel by dropping a first subset of image frames associated with the set of image frames based on the spread of color tones. The display processor may be configured to output the rate-matched set of image frames at the second frame rate by duplicating a second subset of image frames of the set of image frames based on the spread of color tones.

Systems and methods disclosed herein perform privacy-preserving evaluations of artificial intelligence (AI) agents. A first AI agent associated with a first entity obtains a machine-readable data structure defining one or more operative boundaries for a second AI agent associated with a second entity. The system generates a unique fixed reference value representing the machine-readable data structure by applying a first transformation operation set, and transmits the unique fixed reference value to a multi-agent storage to store the value. The system receives, via the multi-agent storage, a verification artifact from the second AI agent that indicates an observed value based on internal operational data of the second AI agent corresponding to the operative boundaries. The first AI agent determines a verification status of the verification artifact by comparing the unique fixed reference value with the observed value, and autonomously generates a verification record including a representation of the verification status.