28 results about "Reverse index" patented technology

The invention discloses a progressive topic generation method based on semantic analysis and a knowledge graph. Performing preprocessing and semantic analysis on the question setting demand text, and extracting a necessary keyword set corresponding to the core knowledge points and an optional determiner set corresponding to the additional conditions; carrying out concept mapping in a college professional knowledge graph and associating with a course outline, constructing a hierarchical semantic constraint framework containing hard constraint and soft constraint, and carrying out consistency detection; adopting reverse index hard matching recall and knowledge graph soft extension recall to obtain candidate materials, and inputting the candidate materials into a field fine-tuning large language model to generate candidate questions; reordering is performed through multi-target learning ordering, teaching logic verification and quality evaluation are executed, and final questions are output; user feedback is received to form an incremental sample, and the generation model and the sorting model are updated, so that the accuracy, diversity and controllability of question generation are improved, and closed-loop optimization is supported.

The invention discloses an enterprise knowledge base retrieval and intelligent answering method and system based on a large language model. The method comprises the following steps: performing clause-level segmentation on an enterprise knowledge base document, associating document metadata to form structured knowledge entries, and establishing a keyword reverse index and a semantic vector index for the structured knowledge entries; analyzing the natural language query of the user, and performing multi-strategy expansion to generate an enhanced query expression and a query semantic vector; performing dual-channel mixed retrieval, performing duplicate removal, version filtering and weighted fusion sorting on a result, and generating a final candidate knowledge item list; and based on the candidate list and a predefined instruction, calling a large language model to generate a structured answer with complete traceability information. The method is compatible with an existing retrieval framework, precise understanding, knowledge point-level positioning, cross-document content integration and version consistency control of natural language problems are achieved, and the retrieval accuracy, answer availability and service intelligence level of an enterprise knowledge base are remarkably improved.

The invention discloses a voice data compression and index storage method based on a voiceprint template, and relates to the technical field of voice compression processing. The voice data compression and index storage method based on the voiceprint template comprises the following steps: S1, collecting and preprocessing acoustic state data, coded data and edge synchronization data, and constructing a standardized voice input data set; s2, evaluating the individual sound channel difference degree, and stripping non-universal components highly related to individuals in the voice; s3, analyzing the audio compression content, and constructing a structured total compression amount; s4, performing joint evaluation on real-time transmission regulation and control requirements of the compressed data, and dynamically adjusting an uploading priority and a continuous transmission strategy; and S5, constructing a multi-dimensional reverse index system at the cloud. The problems that for a high-noise far-field pickup scene, an existing compression method does not consider that individual sound channel characteristics are stripped from original signals, so that compression redundancy is high, and retrieval interference is large are solved.

The invention discloses a method and a system for realizing compatible file hard link and S3 shallow copy based on a distributed key-value pair, a file metadata key-value pair is used as a metadata storage main body of a file or a directory, a key consists of a file system ID (Identity), a parent directory ID and a file or directory name, and a value contains metadata information; a reverse index file handle key value pair is introduced to serve as a unique invariant identifier, a key is composed of a file system ID, an initial parent directory ID, an initial file or first N characters of a directory name and a file ID, and a value contains a current file metadata key and a reference count. When files or directories are created and deleted, the files or the directories are located at the same one-key value pair node in a large probability, and one-stage submission is supported to improve performance; hard linking and S3 shallow copying are achieved at the same time, independent file metadata key-value pairs and reverse index file handle key-value pairs are created for the hard linking and the S3 shallow copying, reverse index file handle keys of the target file are recorded by file metadata values of the file metadata key-value pairs, reference counts of the reverse index file handle values of the target file are updated, and performance and compatibility are both considered.

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.

The invention relates to the technical field of rail transit vehicle dynamics and intelligent suspension control, in particular to a high-speed train rotating arm node reverse dynamics design method based on dynamic requirements, which comprises the following steps: S1, constructing a mapping relation between vehicle dynamics performance and node rigidity, the method comprises the steps of S1, establishing a mapping relation between node rigidity and a magneto-sensitive elastomer material and structure, S3, establishing a magneto-sensitive elastomer node database, S4, carrying out reverse design based on a dynamic demand matrix, and S5, carrying out semi-active rigidity regulation and hardware-in-the-loop verification based on a controllable magnetic field. According to the invention, material and structure design parameters of the damping element can be deduced reversely, a multi-dimensional parameter database can be established, computable performance reverse indexing can be realized, a simulation-test-database self-learning mechanism is formed by combining a mechanical model and a test, and a closed-loop verification platform is constructed between a whole vehicle simulation model and a rack system. And engineering landing of the design method is realized.

The invention discloses a compressed XML database type, system and method supporting efficient query, and relates to the technical field of XML databases, and the database type adopts a hierarchical compression storage architecture and a reverse search query architecture; in the storage stage, XML non-keyword information is coded through Huffman coding, recoverable ordered arrangement is carried out on the coded information through a tree structure, then transcoding is carried out, the information is stored in a disk in a binary form, and compared with a traditional XML database storage mode, at least 50% of storage space is saved. In the query stage, a reverse search mode is adopted, a corresponding Huffman code initial position is positioned through a keyword, then under the optimization effect of a reverse index, reverse search is performed to recover a complete XML structure, and the query complexity is reduced from traditional O (n) to O (1). According to the method, the storage efficiency and the query performance of the XML data are greatly improved, and the method is suitable for large-scale XML data management and application scenes.

The invention relates to a stepped multi-stage timing method and system, electronic equipment and a storage medium, timing containers graded according to time intervals are managed through a timing engine, timers are dynamically allocated to corresponding containers according to remaining time, check is triggered in combination with inverted indexes, and when the remaining time is insufficient, the containers with smaller intervals are migrated. And utilizing the multi-core CPU to process different group pulse tasks in parallel. According to the scheme, the problems of low efficiency, slow response and poor expansibility caused by single interval scheduling of a traditional timer are solved, the effects of efficient scheduling to reduce CPU occupancy, dynamic migration to improve trigger precision, supporting self-defined hierarchy to enhance expansibility, and automatic overdue cleaning to save resources are achieved, and timing precision and resource consumption are balanced through hierarchical dynamic management.

The application provides a method, device and equipment for big data fusion remote supervision of small and medium-sized enterprises and a storage medium. It is related to the technical field of environmental supervision. The method first acquires positive text data, extracts keywords and processes the positive index data through TF-IDF. Then, the reverse text data is acquired, and the reverse index data is obtained through text vectorization and clustering. Based on the enterprise ID association, an enterprise-index-behavior matrix is formed, key driving indicators are screened, a dynamic weight distribution model is constructed to determine the index weight, and the index is normalized to calculate the comprehensive score to determine the enterprise level, thereby assisting efficient and accurate remote enterprise supervision and providing a new technical solution for enterprise supervision.

The invention discloses a mass open source code storage method and system based on atomization and bidirectional indexing, and the method comprises the steps: splitting accessed software code data into unique and immutable code atoms, storing the unique and immutable code atoms into a source code compression storage structure based on content addressing, and constructing an index; the source code compression storage structure comprises three areas: a metadata area, an atomic code pool and a multi-dimensional index area; the metadata area is used for a format version number, storage statistical information, a physical offset address and length of an atomic code pool, and a physical offset address and length of the multi-dimensional index area; the atomic code pool is used for storing the code atoms; the multi-dimensional index area is used for storing a version reconstruction forward index and a code snippet reverse index; the statistical information comprises the number of software code items, the number of software code versions and the total number of code atoms. The method has remarkable advantages and beneficial effects in the aspects of storage efficiency, access performance, analysis capability, system architecture and the like.

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.

The invention provides a log processing method and device for drug screening, equipment and a storage medium, and the method comprises the steps: A, obtaining a running log generated in a drug screening process, and converting the running log into an event structured entry to construct a dual index; step B, according to the reverse index, aggregating all structured event entries associated with each material identifier to obtain a task node corresponding to each material, and generating a hierarchical mapping structure of the task node; c, aiming at the execution result code contained in each task node, generating a state identifier, performing verification at the same time, and if the states of different log sources conflict, generating a verification state; and step D, for each task node, according to the execution condition of the sub-steps of the task node, determining the percentage progress, drawing a Gantt chart, and displaying the Gantt chart on a visual interface. By adopting the technical scheme, the abnormality can be found in time by providing a visual interface, and the abnormality response time is shortened.

The invention discloses a digital system problem processing method and device. The method comprises the following steps: performing intention recognition and entity recognition on a target question text input by a target terminal to obtain a corresponding target question intention and a plurality of key entities; a knowledge entry set identical to the target question intention is searched in a preset operation and maintenance knowledge graph through the reverse index, multi-dimensional attribute information of all knowledge entries in the knowledge entry set is searched through the forward index, and all the knowledge entries in the knowledge entry set comprise at least one key entity of the target question text; sorting a plurality of knowledge entries in the knowledge entry set by taking the frequency of the key entities in the inverted index and the multi-dimensional attribute information in the forward index as sorting factors; and feeding back the sorted knowledge item set to the target terminal. According to the method and the device, the technical problem of low problem solving efficiency caused by manually inquiring the solution of the operation and maintenance problems of the digital system is solved.

The embodiment of the invention discloses a management method and device for metadata keys of snapshots, electronic equipment and a medium, snapshot metadata are configured with corresponding metadata keys, reverse indexes and snapshot identifiers, and the reverse indexes comprise first snapshot identifiers and second snapshot identifiers of the corresponding snapshot metadata. The first snapshot identifier represents a creation time sequence of an initial version of a corresponding snapshot, the second snapshot identifier represents a creation time sequence of the corresponding snapshot for a preorder snapshot, the method comprises the following steps: according to a target snapshot identifier to be managed, obtaining a target reverse index, the second snapshot identifier of the target reverse index being the same as the target snapshot identifier; constructing a target metadata key based on the target snapshot identifier and a first snapshot identifier in the target reverse index; and based on the target metadata key, managing the target reverse index and the metadata key corresponding to the target reverse index. Through the method, mapping between the snapshot identifier and the metadata key can be established, and the metadata key is managed based on the reverse index.

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.

The invention relates to the technical field of information security, in particular to a searchable encryption method and system based on an sm4 algorithm, and the method comprises the steps: key generation: generating a first key and a second key; index construction: constructing an inverted index dictionary based on the data set; key word encryption: carrying out encryption replacement on key words in the reverse index by using the first key; node encryption and filling: encrypting the nodes in the inverted record tables by using the second key, and filling all the inverted record tables to be equal in length; trap door generation: respectively executing first key encryption and second key encryption on the query keyword to generate a search trap door; and searching and matching: carrying out matching retrieval in the encrypted inverted index by utilizing the search trap door, and outputting a corresponding encrypted document identifier. According to the method, through collaborative design of SM4 double-key encryption, pseudo-random permutation, equal-length filling and a trap door retrieval mechanism, high-security storage of cloud data and efficient retrieval under the ciphertext condition are achieved.

The invention provides a reverse index-based space recovery method, apparatus and device, and a storage medium, and relates to the technical field of computers. According to the method, a forward index pointing to a combined block is created for each storage file, and meanwhile, a unique corresponding reverse index is created for each combined block. When the space recovery event is triggered, the effective file list is directly obtained by reading the reverse index, so that the space recovery efficiency is remarkably improved; and reading valid file data from the first combined block according to the valid file list, and migrating the valid file data to a currently available second combined block. After data migration is completed, the forward index is updated, the first combined block and the reverse index of the first combined block are deleted, and utilization of storage resources is optimized. According to the method, through refined index management and on-demand recovery strategies, the space recovery efficiency is greatly improved, storage resource consumption in application scenes such as financial insurance and medical inquiry is reduced, and the storage performance and expandability of a storage system are enhanced.

The application discloses a kind of server management software front-end cache method, equipment, medium and program product, it is related to server management software technical field, comprising: receiving data update event;Data update event is generated for the field of data object that change listener listens to be modified;According to data update event, according to the priority of the field that is modified, update corresponding field in target view component;Target view component is view component that subscribes the field that is modified;Receive the query request of view layer where target view component is located, and according to the value corresponding to the key carried in query request in reverse index mapping inquires;According to value, the data object corresponding to value is acquired in main data mapping, and data object is returned to view layer.The method can solve the problem that entire data packet is invalid due to field change, the problem of low efficiency in executing complex data operations such as query and updating data and the problem of invalid rendering of view component.

The application provides a new index method and system for a non-volatile memory-based file system, comprising: simultaneously performing reverse indexing and regular indexing, searching the regular index and the reverse index simultaneously by multi-threading until the corresponding file is found; the reverse index traverses the file path in reverse from the end file name of the file path to perform directory indexing until the corresponding file is obtained; and the regular index starts from the root directory and indexes by the directory names level by level until the corresponding file is obtained. The application fully utilizes the performance advantage of the non-volatile memory by simultaneously searching the regular index and the reverse index by multi-threading when indexing.

This invention relates to the field of rail transit vehicle dynamics and intelligent suspension control technology, and particularly to a reverse dynamic design method for high-speed train boom joints based on dynamic requirements. The method includes: S1, establishing a mapping relationship between vehicle dynamic performance and joint stiffness; S2, establishing a mapping relationship between joint stiffness and magnetically sensitive elastomer materials and structures; S3, constructing a magnetically sensitive elastomer joint database; S4, performing reverse design based on a dynamic requirement matrix; and S5, semi-active stiffness control based on a controllable magnetic field and hardware-in-the-loop verification. This application enables the reverse derivation of material and structural design parameters for vibration damping components, establishes a multi-dimensional parameter database, realizes calculable performance reverse indexing, and combines mechanical models and experiments to form a simulation-experiment-database self-learning mechanism. A closed-loop verification platform is constructed between the whole-vehicle simulation model and the bench system, realizing the engineering implementation of the design method.

An implementation method and system compatible with file hard link and S3 shallow copy based on distributed key-value pairs, taking file metadata key-value pairs as the metadata storage body of files or directories, the key of which is composed of file system ID, parent directory ID and file or directory name, and the value contains metadata information; a reverse index file handle key-value pair is introduced as a unique invariant identifier, the key of which is composed of file system ID, initial parent directory ID, initial file or directory name N characters and file ID, and the value contains current file metadata key and reference count. When creating and deleting files or directories, they are probably in the same key-value pair node with high probability, supporting one-phase commit to improve performance; at the same time, hard link and S3 shallow copy are implemented, both of which create independent file metadata key-value pairs and reverse index file handle key-value pairs, the file metadata value of which records the reverse index file handle key of the target file, and updates the reference count of the reverse index file handle value of the target file, taking into account performance and compatibility.

The application provides a data processing method for object storage, comprising: providing a plurality of data blocks, a same data block storing a plurality of objects of a same life cycle, each data block corresponding to an index, the index comprising an identifier and a time prefix, the time prefix being a time when a corresponding data block is written; determining an expired index according to the time prefix of each index, to determine an expired data block from the plurality of data blocks; determining a reverse index of metadata of each object in the expired data block according to the identifier in the expired index; deleting the metadata of each object in the expired data block according to the reverse index of the metadata of each object; and deleting the expired data block to release the each object. The technical scheme of the application can reduce the overhead and optimize the disk performance.

The embodiment of the invention provides a multi-table association query method and related equipment. The multi-table association query method comprises the following steps: receiving a query instruction, wherein the query instruction comprises a query condition; a plurality of tables are inquired in a reverse index mode, a target reverse identification is obtained, and the target reverse identification is a reverse identification meeting all inquiry conditions; according to the inverted identifier, a query result is determined in a global number table, the query result comprises an information abstract value of a target log, and the target log is a log corresponding to the target inverted identifier. According to the technical scheme provided by the embodiment of the invention, the log identifier meeting the condition is found through the inverted index, and then the specific log information abstract is quickly positioned through the global numbering table, so that one-by-one scanning of a full data set is avoided, and the query speed is improved.

The invention discloses an incremental dependency graph expression obtaining method based on a new energy station, and relates to the technical field of SCADA systems, and the method comprises the following steps: S1, an expression rule loading stage: when a calculation engine is initialized, loading all expression rules, performing grammar analysis to obtain operators, functions, constants and variable nodes, and identifying measurement point names; and constructing an executable calculation number as an intermediate representation cache, counting observation points on which each rule depends, and establishing a reverse index of the measurement points and the expression rules. According to the incremental dependency graph expression obtaining method based on the new energy station, through an innovative incremental calculation and data dependency recognition mechanism, the calculation efficiency and the response speed of an SCADA system of the new energy station are remarkably improved, the performance bottleneck existing when a traditional calculation engine faces large-scale expression rules is effectively solved, and the calculation efficiency and the response speed of the SCADA system of the new energy station are improved. The calculation efficiency is improved, the data dependence identification capability of the system is enhanced, and the calculation accuracy and stability are ensured.

The application provides a competitive hypothesis decision analysis method and device based on knowledge reasoning, which comprises the following steps: using a pre-trained language model to encode and decode a problem to be analyzed to obtain a knowledge representation and a hypothesis condition of the problem; obtaining a plurality of candidate evidences related to the problem, extracting a knowledge representation feature from each candidate evidence, fusing the candidate evidence and the hypothesis condition, obtaining an effective evidence, and obtaining an argumentation matrix between the effective evidence and the hypothesis condition; based on the evidence feature and the hypothesis condition feature after the knowledge representation, the hypothesis condition, the effective evidence and the argumentation matrix are optimized through iterative reasoning; according to the optimized matrix feature, a key evidence is calculated from the optimized effective evidence, argumentation parameters of the key evidence are reversely calculated, and a reverse index of the key evidence having a greater influence degree on the final conclusion of the problem is obtained; and the problem is analyzed according to the final hypothesis condition, the key evidence and the reverse index.

The invention belongs to the technical field of information retrieval, and particularly relates to a retrieval method and system for enhancing the relationship between a text large model and a character, a knowledge graph containing character attributes and social relationships is constructed and deeply fused with an image labeling process, so that each photo is not only associated with a name, but also associated with a social relationship. Semantic information such as occupations, family relations and social networks is carried. Meanwhile, in a user query analysis stage, an intention recognition rule engine combined with knowledge graph reasoning ability is introduced, and expressions of father of XXX wife can be analyzed into a clear target person. Finally, sorting is carried out in combination with the reverse index and the relation intention in the retrieval stage, and the retrieval accuracy under complex relation query is remarkably improved. The method can effectively analyze and respond to natural language query containing multiple layers of character relationships, breaks through the retrieval limitation that a traditional system only supports direct calling of names, and realizes accurate recognition of hidden character relationships and associated photo retrieval.

The invention provides a reverse indexing method and device based on a grouped bitmap, equipment and a storage medium, and relates to the technical field of computers. According to the method, each combined block in the storage space is divided into a plurality of reverse index groups, a unique index key is generated, and the effective bitmap and the file identification array are constructed by utilizing the bit information of the group groups to form the index value, so that grouped management of the reverse indexes is realized. The effective bitmap reduces the time complexity of file operation and improves the index updating and query efficiency. The combination of the file identification array and the effective bitmap not only retains the unique identification information of the file, but also optimizes the use of the storage space. When the file operation request is processed, the target reverse index group can be quickly positioned, and the corresponding operation is executed, so that the response speed is higher, the reverse index management efficiency is improved, and an efficient, flexible and reliable solution is provided for small file management of financial transaction data and medical inquiry data in a distributed storage system.

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.