143 results about "Exact match" patented technology

The invention relates to the field of power question answering, in particular to a power knowledge question-answer matching method and system based on an improved retrieval enhancement generation technology, and the method comprises the steps: employing a training set to carry out the decomposition of a pre-constructed Embedding model, and carrying out the training of the Embedding model, and obtaining an Embedding fine tuning model; the method comprises the following steps: vectorizing a power field file by adopting an Embedding fine tuning model to obtain a power knowledge base, and constructing a regular expression rule base; the user consultation content is converted into a query vector, the query vector is matched with the regular expression rule base to obtain an accurate matching result, and meanwhile the query vector is matched with the power knowledge base to obtain a fuzzy matching result; semantic correlation sorting is carried out on the accurate matching result and the fuzzy matching result, and then resorting is carried out by adopting a resorter in combination with a service rule; and inputting the reordering result into a large language model to obtain a result corresponding to the user consultation content. The method can effectively solve the problem of inaccuracy during retrieval of a specific ID, and improves the retrieval precision of a retrieval enhancement generation system.

The disclosed computer-implemented method may match transportation requestor devices to transportation provider devices pre-request by using the same matching process employed by a matching engine that is capable of predicting transportation swaps and walks. Multiple matches may be showcased on user devices, and offline transportation providers may see an exact match to a requestor, with an ability to go online and accept the pre-request match. Additional techniques disclosed include the curation and presentation of offers using constraint space partitioning and adjustment of price and / or the presentation of offers based on real-time information to improve the efficiency and / or utilization of transportation provider resources.

The invention discloses a rationality analysis method for acquisition and bidding evaluation information of power equipment, which comprises the following steps: constructing a regular expression to perform paragraph matching on preprocessed bidding document and bidding document texts, and extracting specific parameter contents; obtaining an absolute error and a relative error based on each bidding value and each bidding value, and comparing the absolute error and the relative error with a preset threshold to obtain a numerical deviation degree grade of the bidding file relative to the bidding file; the method comprises the following steps: splitting a bid invitation file and a bidding file into character sequences, creating a two-dimensional table, analyzing to obtain an editing distance value of each text, obtaining a comprehensive matching degree of the text through accurate matching and fuzzy matching based on a preset synonym library, and further obtaining a text deviation degree grade; constructing a deviation degree comprehensive evaluation rule matrix based on the numerical deviation degree grade and the text deviation degree grade of the bidding file relative to the bidding file, and obtaining a corresponding comprehensive evaluation result; according to the invention, the efficiency and accuracy of collection and bidding evaluation of the power equipment are improved, and personal errors and compliance risks are reduced.

The invention discloses a permission matching method and device, and relates to the technical field of computers. The method comprises the following steps: acquiring a to-be-matched path; performing permission rule matching on the to-be-matched path based on a pre-constructed permission rule tree; when the permission rule in the permission rule tree is matched, determining a corresponding rule control permission based on the permission rule, and obtaining a permission matching result of the to-be-matched path; and when the permission rule in the permission rule tree is not matched, determining a preset default control permission as a permission matching result of the to-be-matched path. According to the method, the accurate child nodes, the single-wildcard child nodes and the multi-wildcard child nodes are integrated through the permission rule tree of the single tree structure, common permission matching scenes such as accurate matching, single-segment wildcard matching and cross-multi-segment wildcard matching can be covered without introducing a regular expression, the integrity of the expression ability is guaranteed, the implementation complexity is reduced, and the implementation efficiency is improved. And the system stability is improved. And meanwhile, the problem of matching logic confusion caused by traditional multi-rule scattered storage is avoided.

The invention relates to the technical field of artificial intelligence and music information processing, in particular to a multi-modal signal fusion music playing accuracy evaluation system. The system comprises a multi-modal signal synchronous acquisition module, a signal preprocessing and feature extraction module, a time domain alignment and event association engine, a hierarchical collaborative evaluation module and a comprehensive evaluation report generation module. Through high-precision synchronous acquisition of an MIDI instruction, an acoustic signal and a structural vibration signal, a nonlinear time domain alignment mechanism taking dynamic time warping as a core is constructed, accurate matching of a symbol event and a physical response is realized, and an alignment multi-modal event frame is formed; and collaborative quantitative evaluation of basic accuracy, technical skill and music expressive force is carried out through the hierarchical model. By adopting the technical scheme, full-link high-fidelity analysis from playing intention to physical presentation can be realized, and the accuracy, robustness and interpretability of evaluation are remarkably improved.

Automatic post-editing of machine translated content is disclosed herein. An example method includes receiving a source document for translation, calculating semantic signatures of text chunks within the source document using an artificial intelligence (AI) model, matching the semantic signatures against a repository of previous translations, and displaying a document-based visualization that includes both semantic and exact matches found in the repository of previous translations.

A method for processing packets, comprising receiving a packet via a representor port on a data processing unit (DPU) operatively connected to a physical host, in response to receiving the packet, processing packet using a hardware switch pipeline in the DPU, where the processing the packet comprises using a plurality of match / action tables to identify an exact match flow entry for the packet, where the plurality of match / action tables do not contain any match flow entries that are not exact match flow entries; and initiating transmission of the packet towards its intended destination using the exact match flow entry.

The embodiment of the invention provides a scene execution method and system, electronic equipment and a storage medium, and the method comprises the steps: determining a current triggering parameter, and determining a first fuzzy membership degree of the current triggering parameter and a mode triggering condition of a conflict scene with an execution conflict; according to the first fuzzy membership degree, determining an execution priority of the conflict scene; and according to the execution priority, determining a target scene from the plurality of conflict scenes, and executing the target scene. Through the embodiment of the invention, the conflict of the scene can be eliminated based on the fuzzy logic, so that the problems that the execution result deviates from the user intention due to the fact that accurate matching is difficult to adapt to the actual scene, and automatic execution in the dynamic scene is met are solved.

The invention provides a data query method and device, electronic equipment and a storage medium, and the method comprises the steps: receiving a query request which carries a query condition and a target field needing to be queried; scanning data table metadata based on a partition condition and a field value range condition in the query conditions, and performing file-level filtering on data files stored in a bottom layer to obtain a candidate file set; based on an accurate matching condition and a range query condition in the query conditions and a pre-established row group level index, performing row group level filtering on each data file in the candidate file set to obtain a data row group set meeting the conditions; and reading data of the corresponding column from the data row group set according to the target field to obtain a query result set. The defect that the traditional file-level filtering granularity is insufficient is overcome, the problem that the adaptability of a single index is poor is solved through intelligent index combination, and meanwhile the heterogeneous characteristic of multi-modal data is perfectly adapted.

The invention provides an AI-based policy analysis and enterprise intelligent matching method and system, and the method comprises the steps: mapping original policy elements of a policy text to a structured rule template, and generating a policy situation model; carrying out AI identification on enterprise information of a target enterprise input by a user, and generating an enterprise standard portrait; performing field mapping on the enterprise standard portrait and the access condition of the policy situation model to determine a policy set; performing weighted calculation on the matching fields of the policy set based on the matching factor of the policy situation model, and generating a matching value of each policy in the policy set for the target enterprise; and binding the matching value with the identification information of the target enterprise to generate an enterprise policy matching result. Through implementation of the scheme of the invention, the original policy elements are mapped to the structured rule template to generate the policy situation model, the enterprise standard portrait is constructed, and in combination with access condition logic judgment, accurate matching of the structured logic model is realized, and the accuracy of enterprise policy recommendation is effectively improved.

A method for processing packets, the method comprising receiving a packet by a data processing unit (DPU) operatively connected to a physical host, in response to receiving the packet, processing packet using a hardware switch pipeline in the DPU, wherein the processing the packet comprises using a plurality of match / action tables to identify an exact match flow entry for the packet, wherein the plurality of match / action tables do not contain any match flow entries that are not exact match flow entries, and initiating transmission of the packet towards its intended destination using the exact match flow entry.

A method for processing packets, the method comprising receiving a packet by a data processing unit (DPU), making a first determination that there is no exact match flow entry in a hardware switch pipeline in the DPU for the packet, in response to the first determination, classifying, in the DPU, the packet as a data packet, in response to the classifying of the packet: identifying, using a software data plane in the DPU, a forwarding information base (FIB) entry to be used to transmit the packet towards its intended destination, identifying, using the software data plane, a flow associated with the packet, initiating, using the software data plane, programming of an exact match flow entry in the hardware switch pipeline, and initiating, using the software data plane, transmission of the packet towards its intended destination using the FIB entry and the hardware switch pipeline.

The invention discloses a hospital examination and inspection result sharing method based on big data, and relates to the technical field of hospital examination and inspection result sharing. Examination data and inspection data are respectively stored in independent databases, and the two types of data are intelligently linked by using a unique identity label of a patient and a time stamp; the format, the time sequence and the semantic information are accurately matched to form a continuous and visual comprehensive disease course record; introducing a deep learning model, carrying out natural language processing on an unstructured text in the inspection data, and automatically converting an image description and a diagnosis report into structured data and a predefined semantic tag; according to the method, the workload of manual structuring is reduced, distributed storage, dynamic updating and multi-dimensional index query modules are constructed based on a big data analysis platform, real-time retrieval and joint query are conducted on comprehensive disease course data records, meanwhile, an early warning report is generated through an anomaly detection algorithm, and a basis is provided for clinical decision making.

A search engine of a network device performs a lookup based on packet information associated with a packet being processed using a plurality of packet processing applications. The lookup includes one or more accesses to a lookup table that includes a plurality of interleaved entries associated with different ones of the packet processing applications. For each access, the search engine generates a search key to include at least a search string generated based on the packet information and an application identifier indicating a packet processing application for which the lookup is being performed, identifies an entry based on the search key, determines whether the search key matches search information in the identified entry, and when the search key matches the search information in the identified entry, identifies an action to be performed by the packet processor in connection with processing the packet by the packet processing application.

The invention relates to a data map generation and retrieval method and device, equipment and a medium. The method comprises the steps of collecting metadata and obtaining relation information; the collected metadata are registered in a data map after being cleaned, and definition is carried out according to a metadata type definition rule; establishing a graph database according to the entity information, the relation information and the attribute information; preprocessing and vectorizing the metadata, and storing the metadata to a vector library; obtaining input information of a user and analyzing the input information; if the user intention and the key information can be accurately identified, accurate matching is carried out; if not, preprocessing and vectorizing the user input to obtain a user input vector; performing retrieval based on a user input vector and a vector library, and screening preliminary candidate results; and sorting the candidate results, querying the graph database according to the sorting sequence, and feeding back a query result to the user. Compared with the prior art, the method has the advantages of high retrieval efficiency, accurate retrieval result and the like.

The invention discloses a commodity order information intelligent identification method based on natural language processing, and belongs to the technical field of natural language processing. Aiming at the problem of low recognition accuracy of unstructured text order information, the invention provides an intelligent recognition method. The method comprises the following steps: receiving an unstructured text; preprocessing, including conversion from traditional Chinese characters to simplified Chinese characters, space removal and keyword filtering; commodity names are extracted by adopting accurate matching and pinyin fuzzy matching; extracting numbers and quantity identifiers; analyzing the number of each commodity, including processing the expression of each character, the expression of a direct number, the expression of a negative number and the expression of 0; and outputting the structured order information. In addition, the method can also process agency orders and serial number orders, identifies commodity name variants through a sliding window technology and Pinyin similarity calculation, improves order processing efficiency, enhances the capability of processing complex expressions, reduces labor cost, and improves user experience.

The invention provides a query method and device of a relational database, electronic equipment and a storage medium, and belongs to the technical field of database information management.The method comprises the steps that a user query request is obtained, and the user query request is divided into a fuzzy query condition and a non-fuzzy query condition; based on a search engine service provided with a fuzzy query data table in the relational database, querying by adopting a fuzzy query condition to obtain an identifier set conforming to the fuzzy query condition; and combining the identifier set with a non-fuzzy query condition to obtain a target query statement, and querying the relational database based on the target query statement. According to the invention, query is carried out based on the fuzzy query condition, and then query is carried out based on the fuzzy query result in combination with the non-fuzzy query condition; the problems that an existing database query method cannot meet the requirement for included query of meaningless character strings, the data size of a data table is very large, and the query requirement for accurate matching of an association table exists can be solved.

The invention discloses an interface internationalization language switching method based on a go language, and relates to the technical field of interface data processing. The method comprises the steps of 1, defining a translation data processing function, converting a to-be-translated field in an interface response message into a JSON object, and performing recursive matching on a key value of the JSON object and a key value of a pre-stored translation text; 2, binding a translation data processing function to a target interface, and automatically triggering translation processing after interface business logic is executed; 3, multi-language translation data are pre-stored through a database table or a JSON file, a storage structure comprises source language columns and multiple target language columns, and source language data and target language data in the same row are in one-to-one correspondence; and 4, dynamically loading translation data corresponding to a target language according to the language parameters in the request header when responding to message processing, and completing text replacement through accurate matching or fuzzy matching.

Methods, systems, and computer program products for determining eligible lead information for accurate matching to booking events. A matching event from a service provider associated with one or more booking events is received. A lead lookup timeframe and a booking lookup timeframe based on the matching event is determined. Booking event data that includes one or more sets of booking event attributes for the booking events is obtained based on the matching event and the booking lookup timeframe. Lead data for the plurality of booking events is obtained based on the matching event and the lead lookup timeframe. Eligible lead information for each booking event of the one or more booking events that is correlated with a corresponding lead from the lead data is determined based on a booking matching algorithm using on one or more criterion. The eligible lead information is provided to the service provider.

A system for performing a cascade search includes an associative memory array, a controller, a similarity search processor, and a precision match processor. The associative memory array stores a plurality of multi-part data vectors stored in at least one column of the associative memory array. Each vector in the column has a first portion and a second portion aligned with each other. The controller controls the associative memory array to perform a similarity search of a similarity query on the first portion and a precision search of a precision query on the second portion. A similarity matching processor generates a match row including a match bit indication aligned with each similarity-matched column. Matching rows indicate which columns have a first portion that matches the similarity query. A precision match processor outputs, from among the similarity-matched columns, a precision-matched column having a second portion that matches the precision query.

A network device uses prefix compression to program routes in a forwarding information base (FIB) in a longest prefix match (LPM) table or an exact match (EM) table. The network device compresses routes of a certain prefix length in the FIB into a single entry in the EM table. For a compressed prefix that does not correspond to a route in the FIB (hole), the network device associates the hole with a special value rather than the prefix of a covering route. When the network device receives a packet that matches a hole, the lookup performed on the exact match table results in the special value. In response, the network device uses the result of the lookup performed on the LPM table to determine how to forward the packet.

The application provides a high-throughput real-time data desensitization method, relates to the technical field of data processing, and comprises the following steps: acquiring a service data stream and a rule configuration stream; distributing rule objects to the local memories of each computing node, constructing a field path prefix tree, and storing an accurate matching rule list and a regular matching rule list in the nodes of the prefix tree; recursively traversing data records, identifying all fields and field paths that need to be matched; splitting the field path into a to-be-matched path segment sequence, sequentially matching each path segment in the to-be-matched path segment sequence from the root node of the prefix tree, obtaining a target node of a matching path, collecting the regular matching rule lists of each node on the traversal path, and obtaining a candidate regular rule set; acquiring a matching rule; and executing a corresponding desensitization algorithm on a field value according to the desensitization algorithm type in the matching rule to obtain a desensitized data record. The application can guarantee data security compliance and improve the throughput performance of real-time stream processing.

The invention relates to a multi-stage gene data accurate matching method and system, and the method comprises the steps: selecting K continuous basic groups from a to-be-processed read sequence as retrieval character strings according to a preset initial length K, and determining a matching interval of the retrieval character strings in a reference genome from a hash table constructed according to the length K in advance through a Kmer-Index algorithm; in the matching interval, carrying out base-by-base expansion and matching on the retrieval character string based on a pre-constructed FM index through an FM-Index algorithm until the number of matching positions of the retrieval character string and a reference genome is reduced to a preset matching frequency threshold value; and for each retrieval character string obtained after base-by-base expansion and matching, expanding according to a single base comparison mode until mismatching occurs, and taking the retrieval character string with the maximum number of matched bases as a finally determined seed sequence. According to the gene data accurate matching scheme, the seed search performance and the memory use efficiency can be improved, and the accurate matching position of the seed can be quickly searched under the condition of limited hardware resources.

The embodiment of the application discloses a source code positioning detection method and system, electronic equipment and a storage medium, and relates to the technical field of static security detection. The method comprises the following steps: generating a corresponding bytecode file based on a to-be-positioned source code; the bytecode file comprises structure information, metadata and method information; analyzing the bytecode file to obtain intermediate code corresponding to the bytecode file; parsing the intermediate code to generate a function sequence list called in the to-be-positioned source code; the function sequence list comprises attribute information and calling information of a function; and matching and querying according to the function sequence list to determine position information of the to-be-positioned source code. The application can realize accurate matching and positioning of a source code function, thereby solving the false alarm problem of functions with the same name in different modules and being suitable for a source code function static detection scene.

This application relates to the field of artificial intelligence, and more particularly to a method, apparatus, device, and program product for controlling document editing. The method includes: receiving a document editing request from a large language model agent; if no exact matching sequence is found in the target file for the content to be replaced, calculating the similarity between the content to be replaced and the sequence in the target file, and locating the best matching segment based on the similarity; performing a difference analysis between the content to be replaced and the best matching segment and generating an error diagnosis report including difference information; returning the error diagnosis report to the large language model agent, guiding the agent to correct the document editing request. This method finds the best matching segment for sequences that fail to match precisely and generates an error diagnosis report including difference information, facilitating rapid location of differences, reducing invalid attempts, and improving the agent's repair efficiency.

The invention discloses a questionnaire survey analysis processing system based on different industries, and relates to the technical field of data analysis processing. A questionnaire keyword extraction module extracts keyword data of a target questionnaire; the practitioner feature database pre-stores practitioner feature elements and keyword elements involved by practitioners in historical questionnaires; the keyword data and the keyword elements are sent to an element matching module, and practitioner feature elements are sent to an association degree calculation module; matching the keyword data with the keyword elements by utilizing an element matching module to obtain a matching result; and the association degree calculation module calculates the association degree between the practitioners and the target questionnaire keyword data according to the matching result and the practitioner feature elements, and screens the target practitioners based on the association degree. According to the method, accurate matching of target practitioners is realized, the content of invalid samples is reduced, and the conclusion credibility is improved.

The present invention relates to the field of task scheduling technology, and specifically to a log analysis task scheduling system based on a neural network. In the present invention, by extracting task resource requirements and task execution duration from a database and mapping them to a task resource dependency graph, it is possible to achieve accurate matching of tasks and resources, optimize task scheduling efficiency, and establish dependencies between tasks, so that the optimization of task execution sequence is more flexible and real-time. By accurately analyzing the priority and time window of tasks through a long short-term memory neural network, it is possible to efficiently estimate task execution time, optimize the execution sequence of tasks, and reasonably arrange the order of concurrent execution of tasks under limited resources. By applying graph neural network technology in resource allocation, the generation of resource allocation plans is made more intelligent, and it is possible to judge in real time whether the current system resources are sufficient to support task execution, and adjust the order of task execution in real time, so as to avoid task blocking or delay caused by resource bottlenecks.

The invention belongs to the technical field of software engineering, and particularly relates to a probe generation method, system, equipment and medium for model coverage analysis, and the method comprises the following steps: traversing source codes of a whole model to identify operators needing instrumentation; aiming at each operator, generating a mapping file carrying a unique identifier according to a logic path recorded in the operator; wherein the mapping file defines a mapping relationship between the coverage state of each logic path and the bit of the integer value in the log entry; and generating one or more probes according to the number of logic paths recorded in the mapping file, and modifying source codes of the model according to source files of the probes to realize automatic instrumentation. According to the method, pre-compiling is not carried out during instrumentation, one or more probes with accurate matching interfaces are dynamically generated according to the monitoring requirements of a specific model, and compared with a limited preset traditional scheme, the number of the probes can be infinitely increased, and the actual requirements are met.

The invention relates to the technical field of communication, in particular to an accurate matching table storage and query system and method. The system comprises a flow table preprocessing software module and a flow table query hardware module, and the flow table preprocessing software module is used for calculating the relative storage position of a flow table item by using a uckoo hash algorithm and storing the flow table item into one sub-table of an accurate matching table based on the relative storage position; flow table item data including the flow table items and the relative storage positions of the flow table items are sent to a flow table query hardware module; and the flow table query hardware module is used for performing matching by utilizing a uckoo hash algorithm to obtain a relative storage position of a flow table item and implementing accurate matching. According to the invention, the flow table preprocessing software module determines the storage position of the flow table item in advance, so that the storage workload of the flow table query hardware module is reduced, and the resources of the flow table query hardware module are saved. Meanwhile, during query, the relative storage position of the matched flow table item is directly obtained through the hash function, and the data packet matching and searching speed is increased.

The invention discloses a multi-document comparison method combining similarity calculation and accurate matching, and belongs to the technical field of information processing, and the method comprises the following steps: S1, text preprocessing, S2, blocking and positioning, S3, vector embedding, S4, similarity matrix construction, S5, Top-K pairing extraction, S6, similarity classification, S7, accurate matching, S8, visual highlighting, and S9, similarity evaluation. Through a sentence-level semantic vector and Top-K matching mechanism, the influence of document structure change is effectively overcome, the detection accuracy and robustness of content reconstruction type plagiarism are remarkably improved, matching dislocation caused by repeated content in a long document is avoided, the comparison stability is ensured, the problem of full-text vector semantic dilution is solved by embedding fine grit according to sentences, and the accuracy and robustness of content reconstruction type plagiarism detection are improved. According to the method, the recognition sensitivity of sentence pattern rewriting and local plagiarism is enhanced, and meanwhile, the abstract similarity is converted into traceable evidence by combining double-layer quantitative indexes with visual highlight positioning, so that the result interpretability and the practical value are greatly improved.