112 results about "Exact match" patented technology

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 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 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 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.

The application discloses a decoupling method, device, program product, server and storage medium, and relates to the field of servers. In view of the problem that the close coupling between a BMC and a BIOS causes the firmware versions of both to have to be kept in synchronization at all times, a decoupling method is provided, which introduces semantic hash values to replace field names to perform accurate matching of fields. Because the semantic hash values can represent the essential meaning of the fields better than the field names, the semantic hash values do not require complete consistency of surface names. Therefore, replacing the field names with the semantic hash values to perform field matching can improve compatibility and also enable automatic renaming of the field names. Based on this, the method can reduce the coupling between the BIOS and the BMC, so that the BMC and the BIOS versions can be upgraded independently and do not need to be maintained synchronously, thereby significantly reducing operation and maintenance costs.

The invention provides an engineering specification document processing method and system, and relates to the field of data set production, and the method comprises the steps: generating a chapter index sequence based on the hierarchical number characteristics of an engineering specification document; the method comprises the following steps: converting an engineering specification document into a high-resolution image, identifying text content based on an OCR technology, extracting a numbering mode from the OCR identification content through a regular expression, and accurately matching the numbering mode with a chapter index sequence so as to obtain page numbers and coordinate information of identified chapters; the missing position is calculated according to the coordinate information of the adjacent chapters, and interpolation completion is carried out on the missing coordinate information; calculating the image boundary of each chapter according to the complemented coordinate set, cutting the picture of the engineering specification document according to the image boundary, setting a boundary protection mechanism in the cutting process to maintain the integrity of the text content of each chapter, and finally forming a structured image library which can be directly used for knowledge management and intelligent retrieval. And the engineering specification retrieval efficiency and accuracy are improved.

The application discloses a Chinese human phenotype ontology recognition method and related equipment, which can be applied to the technical field of text information processing. The application can effectively improve the recall rate by expanding the human phenotype ontology concept synonym set through a large language model, generating an expanded dictionary with the initial dictionary, significantly enhancing the discrimination ability of the recognition model for semantically ambiguous concepts through two-stage comparative learning, balancing the precision and recall rate by constructing an initial dictionary based on the human phenotype ontology official database and the Chinese human phenotype ontology official data, merging and disambiguating the current input text after accurate matching and semantic similarity matching to obtain a fused candidate result list, and finally obtaining the structured recognition result corresponding to each current input text by post-processing each candidate fragment in the fused candidate result list, which can provide effective data support for disease diagnosis.

The invention is suitable for the technical field of database query, and particularly relates to an intelligent optimization method and platform for database data query. Dividing the static storage area into a plurality of minimum storage areas, grouping the minimum storage areas to obtain a storage area set, performing data extraction on the storage area set, and constructing to obtain a compressed storage area; obtaining a retrieval source, extracting a compressed data block, expressing the retrieval source and the compressed data block in a binary system, and performing differencing operation to obtain a differencing result; and analyzing the differencing result, determining the minimum storage area hit by the compressed data block at this time, obtaining a preliminary screening set, and accurately matching the preliminary screening set to obtain a data query result. When data matching is carried out, matching is carried out through the compressed database, preliminary screening is achieved, then accurate matching is carried out according to the preliminary screening result, the number of times of data query is greatly reduced through preliminary screening, the global scanning efficiency is improved, and the timeliness is improved.

The invention discloses an accurate model selection method and device for pneumatic element products. The method comprises the following steps: receiving a serial number and attribute information of a pneumatic element product to be selected input by a user; according to a preset detection rule, the serial number and the attribute information of the pneumatic element product to be selected are detected, and whether the corresponding all-model information is correct or not is judged; if the judgment result is yes, product information of the pneumatic element is retrieved according to all-model information corresponding to the serial number and the attribute information; and returning the retrieved product information. The device comprises a data receiving module, a detection module, a retrieval module and an information return module. The model selection method and device are more suitable for the conditions that the product capacity is huge and the product attribute information is complex, the product information of the pneumatic element to be selected can be accurately matched, the model selection method and device are more suitable for the accurate model selection requirement of similar pneumatic element products, and meanwhile the model selection accuracy is effectively improved.

The invention relates to the technical field of text processing and information retrieval, and discloses a fuzzy matching method and system based on an AC tree, electronic equipment and a storage medium. According to the fuzzy matching method based on the AC tree, a flexible matching strategy is achieved by setting the maximum skipping number, and in the process of matching a to-be-matched text based on the AC tree, the maximum skipping number is set, so that the matching efficiency is improved. If the current character is not matched, the current character is allowed to be skipped to continue matching until the set maximum skipping number is reached, accurate matching and fuzzy matching can be achieved at the same time, keywords in a discontinuous form can be effectively recognized, an accurate matching position can be returned, the accuracy of keyword filtering and content analysis is improved, and the user experience is improved. And matching tasks in multiple languages and complex modes can be supported.

The invention discloses a decoupling method and device, a program product, a server and a storage medium, and relates to the field of servers. Aiming at the problem that firmware versions of the BMC and the BIOS must be always kept synchronous due to tight coupling between the BMC and the BIOS, a decoupling method is provided, and accurate matching of fields is carried out by introducing semantic hash values instead of field names. Wherein the semantic hash value can better represent the essential meaning of the field compared with the field name, so that the surface name is not required to be completely consistent. Therefore, the field matching is carried out by replacing the field name with the semantic hash value, so that the compatibility can be improved, and the automatic renaming of the field name can be realized. On the basis of the method, the coupling between the BIOS and the BMC can be reduced, so that the BMC and the BIOS version can be independently upgraded without synchronous maintenance, and the operation and maintenance cost is remarkably reduced.

The application provides a network table query method and data packet processing method of a switch and related devices. A plurality of binary classifiers are set in the on-chip memory of a switch processor. According to the output values of the exact match table, the longest prefix match table and the access control list, the pre-operation results corresponding to the output values are generated through hash operation, and the pre-operation results are pre-stored in the plurality of binary classifiers corresponding to the exact match table, the longest prefix match table and the access control list. When the network table query of the switch is performed, the plurality of binary classifiers can be used to output the output values of the switch network table in parallel based on the pre-operation results. The scheme realizes the isomorphism of the storage structures of the exact match table, the longest prefix match table and the access control list, and can dynamically allocate the storage resources of the on-chip memory when the network table query is performed, so as to adapt to the network table query in different time and different scenes.

The invention relates to the technical field of data processing, in particular to a vector retrieval matching system for a multi-language scene, which comprises a vectorization module, an acquisition module, a judgment module, a generation module, an adjustment module, a storage module and a retrieval matching module. According to the method, key parameters such as generation time consumption, text length, dimension integrity, cross-language similarity deviation, clustering compactness, stability volatility and model attention entropy in the vectorization process are collected and analyzed in real time, so that dynamic monitoring and self-adaptive regulation and control on vectorization quality and retrieval precision are realized; cross-language alignment abnormity and model stability abnormity can be accurately distinguished according to an abnormity judgment result, and a language alignment strategy or a coding processing strategy of a coding model is adjusted according to different abnormity types, so that the balance and consistency of vector representation are optimized; the problem of incomplete semantic understanding caused by phrase splitting and accurate matching is effectively solved.

The application provides a kind of view retrieval system based on double-path encoding and accurate matching signal, comprising: a query text and document text preprocessing module, and the input query and candidate document are preprocessed;A query text and document text relevance score calculation module;A query text and document text view score calculation module, the view score of candidate document is calculated by pre-training model;Unified correlation retrieval module is used to obtain the view score of document according to the relevance score of query and document obtained by correlation retrieval module and according to view score module, finally calculate the view retrieval score of document.This technical solution obtains local semantic information and global semantic information by double-path encoding, can carry out view retrieval by fusing and based on these information, and the accurate semantic information obtained by accurate matching mechanism can improve the relevance of query and document.