62 results about "Group code" patented technology

The present application is directed towards systems and methods for cluster-based code analysis and transformation. Cluster-based analysis may group code objects based on their similarity across functional areas, such as where a code object is cloned in multiple areas (e.g. sort functions that are duplicated across areas, or reports or tables that are identical). In some implementations, objects may be grouped into clusters by type, or based on reading from or writing to a common table. In some implementations, clustering at different layers may be possible.

A method and system of optimizing query input for generating a set of code using a large language model (LLM), is disclosed. A processor receives a user query input by a user for querying the LLM to generate the set of code corresponding to a user-defined coding language. A set of primitive queries are determined from the user query based on the predefined keyword reference table and using an NLP model. Metadata is determined from the set of primitive queries. A query type is determined from a set of predefined query types of the user query using a machine learning model. An optimized query is determined based on the query type and the metadata using the NLP model and a historical database. The set of code is determined corresponding to the user-defined coding language based on the query type and the optimized query by querying the LLM.

Provided herein are methods of conducting an assay for a set of targets, comprising: subjecting each target of a set of targets to a recognition event, in which two or more genomic regions of interest in each target is uniquely recognized by and bound to a recognition element associated with a code from a set of codes, thereby yielding a set of coded targets comprising the target and the recognition element; subjecting each recognition element of the set of coded targets to a transformation event, in which a molecular transformation of each recognition element produces a modified recognition element, thereby yielding a set of modified recognition elements comprising the code; subjecting each code of the set of modified recognition elements to an amplifying event, in which each code is amplified, thereby yielding a set of amplified codes; subjecting each amplified code of the set of amplified codes to a detection event, thereby decoding the code.

Systems and methods include receipt of search terms, determination of an embedding for each of the search terms, generation of a composite embedding based on the determined embeddings, determination of similarities between the composite embedding and second composite embeddings associated with each of a plurality of hierarchical group codes, determination of a hierarchical group code of the plurality of hierarchical group codes based on the determined similarities, and generation of search results based on the search terms and the hierarchical group code.

The invention relates to a unified coding method and device of geoscience data, computer equipment and a storage medium. The method comprises the following steps: acquiring multi-modal geoscience data, wherein the multi-modal geoscience data comprises spatial position information and lithosphere information; setting the grid precision of the two-dimensional map grid, and performing mapping coding on the spatial position information according to the grid precision to obtain a spatial code of the spatial position information in the two-dimensional map grid; constructing a rock stratum knowledge base, wherein the rock stratum knowledge base comprises a plurality of stratum unit terms with different priorities; and according to a plurality of stratigraphic unit terms with different priorities, extracting a target field in the rock stratum information, and carrying out Hash coding on geoscience data stored under the target field to obtain a group data code of the rock stratum information. By adopting the method, the unified coding of the multi-modal geoscience data can be realized by carrying out spatial coding on the spatial position information and carrying out group coding on the rock stratum information.

The present application discloses a method, system, and computer system for managing versions of code. The method includes obtaining a first version of a code, determining whether the first version of the code creates a first conflict with respect to an ancestor version of the code, wherein the ancestor version of the code comprises a set of code that has a dependency relationship on another version of the code, in response to determining that the first version of the code creates the first conflict with respect to the ancestor version of the code, cause the first conflict to be resolved.

Systems and methods include reception of a plurality of item descriptions associated with a respective hierarchical code which includes a plurality of group codes, extraction of a respective plurality of phrases from each item description, assignment, for each item description, a phrase embedding determined for each of the extracted respective plurality of phrases to each of the plurality group codes included in the hierarchical code associated with the item description, generation of a composite embedding for each of the plurality of group codes based on the phrase embeddings assigned to the group code, and storage of each composite embedding in association with the group code for which the composite embedding was generated.

The embodiment of the invention belongs to the technical field of system development and financial science and technology, and relates to a business code development method, which comprises the following steps: acquiring an original business code and a business customization demand instruction; performing directional separation processing on the original business code to obtain a general business code block and a personalized business code block; carrying out group coding processing on the personalized service code block to obtain an executable group script; the executable groover script and the universal service code block are selected based on the service customization demand instruction to be configured and combined, and a target service interface is obtained.The invention further provides a service code development device, computer equipment and a storage medium. According to the method, personalized business codes are isolated into the groover file, and the problem that system codes are too redundant and are not beneficial to maintenance due to the fact that personalized business and general business in insurance business are highly integrated and the coupling degree is too high is solved.

In summary, certain aspects of this disclosure relate to methods and apparatus for generating and encoding bits for CSI reports. In some cases, the UE may determine the payload size for the Channel State Information (CSI) report based at least in part on the supported rank; calculate the packet length for the CSI report based on the determined payload size; and encode the CSI for a selected CSI Resource Index (CRI) based on the payload size and the calculated packet length to generate encoded packets.

In implementations of systems for generating review likelihoods for sets of code, a computing device implements a review system to compile input data based on code data describing information associated with a set of new code to be incorporated into a set of existing code and reviewer data describing information associated with a potential reviewer of sets of code. The review system processes the input data using a machine learning model trained on training data to generate review likelihoods for potential reviewers of sets of code to be selected to review sets of new code. A review likelihood for the potential reviewer of sets of code to be selected to review the set of new code is generated using the machine learning model based on processing the input data. The review system generates an indication of the review likelihood for display in a user interface.

Disclosed is a method comprising receiving, from a medium access control layer, a transmission block to be transmitted using at least a first carrier and a second carrier, wherein the first carrier and the second carried are on different radio frequencies with respect to one another, determining a first set of code blocks for the first carrier and a second set of code blocks for the second carrier, wherein the code blocks of the first set are mapped to their respective resources of the first carrier, performing processing of at least one code block of the first set to cause at least a subset of the code blocks of the first set to fit to their respective resources of the first carrier, performing processing of the transmission block, the processing comprising mapping the transmission block to the first set and the second set of code blocks for transmission, and transmitting the transmission block using the first carrier and the second carrier.

The present application relates to a kind of data reliable storage methods based on erasure code adaptive coding, the application is saved by being encoded as erasure code to data, and under different workloads, different coding strategies are converted, so that the storage system can adapt to different working environment, maintain the reliability of data.The present application is composed of two components of improved erasure code and adaptive coding, improved erasure code is improved based on existing erasure code, the performance of existing erasure code is enhanced by the XOR grouping coding XGC proposed in the present application, to provide the basis for adaptive coding.Component two judges work load and changes coding strategy based on the hot and cold characteristics of data and the use rate of storage system.

A code repository stores source code. An insider threat detection system stores instructions for detecting code defects and criteria indicating predetermined types of code defects that, when present, are associated with intentional obfuscation of one or more functions of the source code. The insider threat detection system receives an entry of source code and detects, using the model, a set of code defects in the entry of source code. A defect type is determined for each code defect, thereby determining a set of defect types included in the entry of source code. If it is determined that each of the predetermined types of code defects indicated by the criteria is included in the determined set of defect types, the entry of source code is determined to include an insider threat.

The invention relates to a test case determination method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the steps of analyzing context log code data of a change code block corresponding to a test object based on a static code analysis model and a function call relation tree corresponding to the test object, and determining one or more groups of code execution logic data of the change code block; aiming at each group of code execution logic data, determining a plurality of test cases corresponding to each logic node in the code execution logic data based on a test case and code association relationship library; based on the number of hit times of each test case in the code execution logic data, determining a hit probability value of each test case selected by the code execution logic data; and determining the test case corresponding to the hit probability value meeting the preset selected condition as a target test case of the code execution logic. By adopting the method, the efficiency of accurately testing the code can be improved.

The application discloses a kind of personalized tourism route recommendation method based on Transformer-LSTM model, comprising: based on structured processing, construct supply side and demand side characteristic data;Supply side and demand side characteristic data are characterized by washing, mapping and pre-processing;Supply and demand grouping coding structure is constructed;The context dependency in feature sequence is extracted using Transformer-LSTM encoder, and the coding representation of each feature group is obtained;According to supply side coding result and demand side coding result, supply and demand common decoding initialization is carried out;Based on context dependency and decoding initialization, the LSTM decoding module of the trained personalized tourism route recommendation model is used to gradually calculate candidate attraction probability;Based on candidate attraction probability, the recommended route is output by using greedy inference;According to the recommended route, the recommended explanation result is output.The application fuses Transformer attention mechanism and LSTM sequence decoding mechanism, improves the accuracy, coherence, personalization degree and stability of tourism route recommendation result.

The disclosed embodiments relate to a cyber threat information processing apparatus, a cyber threat information processing method, and a storage medium storing a cyber threat information processing program. A disclosed embodiment provides a cyber threat information processing method including: a step to classify at least one executable file into a set of code blocks corresponding to at least one malware by performing conversion of such executable file and provide the classified set of block codes; a step to select one or more code blocks included in the classified set of code blocks and generate a new set of code blocks by combining such selected code blocks; and a step to predict new malware based on the set of code blocks generated as above and provide information about the new malware predicted.

The present application discloses an online group recommendation method and system based on a multi-scale contrastive learning dual-tower model, belonging to the field of artificial intelligence technology. The method comprises: first, the system obtains and pre-processes relevant information for online group recommendation, generates a user group sequence, a user initial representation, an event initial representation, and a neighbor set of users and events; the left tower of the model is composed of a sequence coding network, including a group embedding coding layer, a sequence initial coding layer, and a similar user coding layer, aiming to extract a sequence representation of a user group; the right tower is composed of a group coding network, including an opinion fusion layer and a feature aggregation layer, for generating a final representation of the group; the contrastive learning network includes group-group, sequence-sequence, and sequence-group contrast layers, and a corresponding contrast loss function is constructed; by optimizing the loss function, a multi-scale contrastive learning dual-tower optimization model is trained to finally achieve accurate and personalized group recommendation results.

Methods, systems, and devices for wireless communications are described. A first wireless device, such as a wireless station (STA) or a wireless access point (AP), performs a low-density parity check (LDPC) coding operation on input bits of a set of code blocks. Performing the LDPC coding operation on the input bits produces a set of codewords including one or more codewords having a first codeword length and one or more codewords having a second, shorter codeword length. The first wireless device arranges the set of codewords into a set of symbols such that a last symbol in time of the set of symbols includes the one or more codewords each having the second codeword length and no codewords having the first codeword length. The first wireless device, transmits, to a second wireless device, the plurality of symbols.

The present invention provides a method for code snippet extraction and recombination, which relates to the technical field of code processing. The method includes: reading the source code based on the AST and performing code parsing, converting the source code into an AST, and annotating the source nodes of the AST according to the key structures and patterns of the source code; obtaining the code snippet extraction requirements, setting the code snippet recognition rules, constructing an automatic code snippet extraction model, and performing node extension recognition and extraction on the AST based on the source node annotation results to obtain the extracted code snippets; setting the code snippet recombination strategy, calibrating the recombined code nodes in combination with the source node annotation results, and performing node extension recombination synthesis on the extracted code snippets based on the recombined code nodes to generate the recombined code snippets; performing code testing on the recombined code snippets according to the preset code testing strategy and performing iterative optimization on the node extension recognition extraction and the node extension recombination synthesis; effectively realizing the extraction and recombination of code snippets.

The invention relates to the technical field of image programming, and discloses a programming method of image measurement software, which comprises the following steps of: 1, interpreting all elements in a computer-aided design (CAD) / data exchange format (DXF) file to generate an original element database # DBF1; step 2, interpreting an annotation group code and an annotation style existing in the CAD / DXF file; step 3, filtering redundant items in the database # DBF1 by marking position information in the group code; and 4, interpreting the data packets in the annotation group codes to obtain corresponding tolerance types, theoretical values and tolerance zones. According to the programming method of the image measurement software, due to items needing tolerance control, marking of theoretical values and tolerance zones is carried out in a CAD drawing, the manual programming standard of a measurement program is also based on CAD tolerance marking, the software recognizes position information of marking items in CAD through interpretation, redundant elements irrelevant to measurement in the CAD are filtered out, and therefore the measurement precision is improved. A manual screening process is not needed, and a program automatically screens out measurement elements needing to be managed and controlled.

The embodiment of the present application discloses a data processing method and device, wherein the method includes the following steps: obtaining a target code block of a target program in a running state; the target program includes at least one code block, and the target code block is any code block in the target program; obtaining a reorganized code block corresponding to the target code block, and the reorganized code block is a code block generated by inserting callback instructions using binary plug-ins according to code instructions in the target code block; running the reorganized code block corresponding to the target code block, obtaining the scheduling data of the reorganized code block, and determining the malicious behavior of the target program according to the scheduling data. The present application can improve the accuracy of analyzing malware behavior.

This invention discloses a smart contract code clone detection method that integrates symbolic representation and graph representation, belonging to the field of code clone detection technology. The method includes: dividing the dataset into a training dataset and a dataset to be detected; grouping code file pairs using similarity calculated by a symbolic representation-based detection method; determining the most suitable threshold for the graph representation-based detection method for each group by maximizing the F1 score; and using this threshold for subsequent detection. This invention can more accurately detect semantic clone problems in smart contract code, overcoming the shortcomings of existing technologies in accurately identifying semantic clones in smart contract code, while reducing unnecessary graph detection operations and improving overall detection efficiency.

The invention relates to the technical field of quantum computing and artificial intelligence, and discloses a group coding method and device based on a quantum gate circuit, a medium and equipment. The method comprises the following steps: performing multi-dimensional preprocessing on input data; constructing a plurality of quantum gate circuits based on the plurality of quantum bits, wherein each quantum gate circuit comprises a plurality of quantum relaxation gates; determining a corresponding preferred stimulus for each quantum relaxation gate; the preprocessed input data is input into a plurality of quantum gate circuits, each circuit is processed through a plurality of quantum relaxation gates, the excited state probability under preferred stimulation is measured, and a respective activity value of each quantum relaxation gate is generated; performing weighted integration on the activity values according to a serial, parallel or multi-dimensional combination mode to form a group combination vector as a group coding result; and inputting the group coding result into a neural network model. According to the invention, the anti-noise performance of the neural network model can be improved and enhanced.

The invention provides a daisy chain structure one-master multi-slave system and a slave station automatic numbering method and system thereof.A master controller sends coding frames, and slave controllers receive the coding frames in sequence according to a connection sequence; when a first unnumbered node receives the coding frame, the current group number in the group coding area is confirmed, a first unoccupied position in the sequential coding area is modified into an occupied position, a new coding frame is generated, and the number of the unnumbered node is obtained; and the numbered node forwards the new coded frame to the next node, and the processes of modifying the placeholder and calculating the node number are repeated, and so on, until the coded frame is transmitted to the last node in the slave controller sequence. And the main controller modifies the current group number in the group coding area to add 1 and modifies all occupied positions in the sequence coding area as non-occupied positions according to the occupied position condition of the sequence coding area in the coding frame returned by the last node, and sends a new coding frame starting new round number or ending number. The method does not need manual intervention, and is efficient and accurate.

The invention provides a code snippet extraction and recombination method, and relates to the technical field of code processing, and the method comprises the steps: reading a source code based on AST and carrying out code analysis, converting the source code into AST, and carrying out source node labeling on the AST according to a key structure and a mode of the source code; obtaining a code snippet extraction requirement, setting a code snippet identification rule, constructing a code snippet automatic extraction model, and performing node expansion identification extraction on AST based on a source node labeling result to obtain an extracted code snippet; setting a code snippet recombination strategy, calibrating a recombination code node in combination with a source node labeling result, and performing node expansion recombination synthesis on the extracted code snippets based on the recombination code node to generate recombination code snippets; performing code testing on the recombined code snippets according to a preset code testing strategy, and performing iterative optimization on node extension identification extraction and node extension recombined synthesis; the code snippets are effectively extracted and recombined.

The invention provides a code generation method and device, equipment, a medium and a program product, and can be applied to the technical field of artificial intelligence. The code generation method comprises the steps that target code information and prompt information are obtained, the prompt information comprises at least one code sample pair, the code sample pair comprises associated code information and front-end page information and rear-end interface information corresponding to the associated code information, and the code information has a type label; the type label of the associated code information is the same as the type label of the target code information; a conversion scheme is generated according to the prompt information by utilizing a scheme generation model, and the conversion scheme is used for converting the target code information into front-end page information and rear-end interface information; and converting the target code information by utilizing a code generation model according to the conversion scheme, and generating target front-end page information and target rear-end interface information corresponding to the target code information.

The invention relates to the technical field of data processing, and particularly provides a bar tracking method, system and equipment based on image recognition and a storage medium, and the method comprises the steps: collecting blank numbers, equipment signals and time data of a steel rolling production line PLC and an MES system, automatically generating bar full-flow tracking information, and pre-distributing a unique code sequence; in the cooling bed link, the number of material supporting position section material groups is counted through the image recognition technology, section material group codes are distributed according to the first-in first-out principle in combination with an input roller way coding sequence, and blank numbers are bound; in the saw cutting link, the bar output roller way position sequence is recognized through images, codes and blank numbers distributed by a cooling bed are associated, and a unique sub-code is generated for each bar. The error rate and the labor intensity of traditional manual recording and cooperation are greatly reduced, and the production efficiency is improved.

The invention relates to a pointer type combination lock box and a pointer type combination lock, which can be applied to bags, doors, safe boxes and other products. The invention adopts the following technical proposal: two or more pointers are used to match with a dial, a plurality of pointers point to combined display codes of scale marks and / or symbol marks on the dial; the invention has the following beneficial effects: due to the use of pointers with the dial, the pointers point to the combined display codes of scale marks and / or symbol marks on the dial, the combinatorial number of the codes forms a series relationship with the number of pointers, a plurality of groups of codes can be combined, the combinatorial number is increased by an order of magnitudes for each increase of a pointer, the codes are displayed intuitively, and has high confidentiality and high cracking difficulty.

The utility model discloses an automatic laser coding machine for a mold. The automatic laser coding machine comprises a rack, a transmission unit, a feeding unit, a coding unit, a coding surface calibration unit and a grouping coding unit, on one hand, a plurality of molds are loaded at intervals on the basis of the carrier, the probability that code printing faces of the molds are reversed is reduced, meanwhile, the molds are supplied to a conveying channel moving in the X-axis direction in rows in combination with movement in the Y-axis direction and the Z-axis direction, every two adjacent products do not interfere with each other, adsorption force formed by the products is the same, and the transferring and falling probability is low; on the other hand, calibration of the code printing faces of all the molds is completed one by one, the molds are lifted and erected on the annular conveying belt after being overturned by 180 degrees once being overturned, the working condition that the code printing faces are overturned is avoided, it is ensured that products are accurately marked, and the probability that the products which do not meet the requirement flow to the market is reduced; the risk of possible economic or reputation loss is also reduced; in addition, the multiple molds in the same group can be coded synchronously, and the coding efficiency is improved.