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4 results about "Reverse index" patented technology

Database management systems provide multiple types of indexes to improve performance and data integrity across diverse applications. Index types include b-trees, bitmaps, and r-trees. In database management systems, a reverse key index strategy reverses the key value before entering it in the index. E.g., the value 24538 becomes 83542 in the index. Reversing the key value is particularly useful for indexing data such as sequence numbers, where each new key value is greater than the prior value, i.e., values monotonically increase. Reverse key indexes have become particularly important in high volume transaction processing systems because they reduce contention for index blocks.

Graph anchor-based multi-agent meta-analysis literature extraction method and system

PendingCN122366452ALinguistic modelDocument analysis
This invention discloses a method and system for extracting meta-analysis literature based on graph-anchored multi-agent systems. The method includes reconstructing unstructured PDFs into a hierarchical semantic document structure through visual document analysis and identifying functional area labels; applying functional area anchoring constraints to limit information search to specified functional area nodes; scheduling a multi-agent collaborative extraction network consisting of a reconnaissance agent, a logic assembly agent, and an indicator retrieval agent; and completing experimental variable identification, logical mapping between treatment and control groups, and cross-paragraph indicator retrieval through structured message dialogue and multi-round collaboration; employing a neural symbolic hybrid engine, where semantics are parsed by a large language model and precise mathematical aggregation operations and dimensional conversions are performed by a deterministic symbolic computation engine; and generating a structured data matrix with inverted index pointers. This application achieves high-precision, zero-error, and traceable automated extraction of meta-analysis literature data.
Owner:INNER MONGOLIA UNIVERSITY +1

Multi-source permission aggregation and dynamic inheritance decoupling permission management system and method

The invention discloses an authority management system and method for multi-source authority aggregation and dynamic inheritance decoupling, and belongs to the technical field of DevOps, the system comprises an authority storage module for realizing user affiliation judgment of constant time complexity through non-expansion storage and bitmap indexing; the reverse index module is used for asynchronously updating the authority in batches through a secondary hash reverse index and a message queue; the permission aggregation module is used for obtaining an aggregation permission list through union set operation; the source tracing module is used for obtaining directly added permissions through difference set operation; the inheriting and decoupling module is used for realizing dynamic inheriting and decoupling through an inheriting flag bit and a user-defined mask; and the cache synchronization module realizes increment synchronization through three-layer version number and inheritance chain propagation. According to the method, the problems of difficulty in source tracing, low dynamic decoupling efficiency, poor batch change performance and poor cache consistency are solved, and efficient, accurate and extensible multi-source authority management is realized.
Owner:GUANGZHOU CANWAY TECH CO LTD

A Multi-User Group Buying and Bidding Method and System

The application discloses a multi-user group purchase collective procurement bidding method and system, wherein the multi-user group purchase collective procurement bidding method comprises the following steps: generating a market price prediction curve of each category and a category pair joint supply reverse index; processing real-time arrived user group purchase demand and generating a demand cumulative quantity prediction sequence and a demand time elasticity distribution diagram; coupling and analyzing the price prediction curve and the demand time elasticity distribution diagram to solve optimal elasticity window parameters with the lowest expected total procurement cost as the target; encapsulating a bidding demand package and executing bidding when the window is cut off; performing income allocation based on an incremental Shapley value approximation method and generating a collective procurement order; and verifying the effectiveness of a joint scheme through cross-category price coordination degree scoring and dynamically adjusting a joint group purchase combination scheme by using an incremental greedy algorithm. The application solves the problems that the existing method ignores price timing, lacks a cross-category unified decision-making framework and has a high calculation complexity in a dynamic environment.
Owner:HENAN JINGTIAN CENT KITCHEN CO LTD +2

Process dynamic scheduling method based on fusion of graph structure and state machine and related equipment

The application discloses a process dynamic scheduling method based on graph structure and state machine fusion and related equipment, and belongs to the technical field of computer information processing. The method comprises the following steps: listening to node state change events, obtaining events of node state changes to a completed state; determining direct successor nodes affected by the node based on preset dependency relationship data, and judging whether the direct successor nodes meet execution conditions to obtain an executable node set, wherein the dependency relationship data comprises a reverse index table used for locating the direct successor nodes; and distributing nodes in the executable node set to an execution engine for scheduling and execution. The application realizes quick positioning of the direct successor nodes through the reverse index table, reduces the calculation complexity of dependency resolution from O(N) to O(K), and significantly improves the execution efficiency of large-scale concurrent processes.
Owner:XIAN TPRI POWER PLANT INFORMATION TECHNOLOGY CO LTD +1