17 results about "Repeat analysis" patented technology

The invention relates to the field of failure analysis, and discloses a guided step-by-step analysis method, system and equipment, the method comprises the following steps: obtaining analysis items and analysis modes of a target object, the analysis items comprising structure, function, failure, risk and optimization in sequence; if the analysis mode is a concentration mode, analyzing and processing the analysis items step by step according to the sequence of the analysis items, and generating a guide interface view matched with the current analysis item to assist analysis; if it is monitored that the current analysis item is completed, analyzing the next analysis item in sequence until analysis results of all the analysis items are obtained; and summarizing each analysis result, determining a DFMEA analysis file, and displaying the DFMEA analysis file. According to the method, analysis is guided step by step, so that the integrity and logicality of the analysis process are ensured, and the possibility of omission or repeated analysis is reduced; in the concentration mode, through visual interface guidance, the analysis efficiency and accuracy are improved, the analysis cost is reduced, and the problems that analysis cannot be carried out, logic is disordered and the like are solved.

The invention discloses a Web application testing method and system based on browser assistance, and relates to the technical field of network security testing. The method comprises the following steps: analyzing whether a target Web application has a dependency relationship of JavaScript feature reference and / or a dynamic field, judging whether the target Web application needs a browser auxiliary test, and generating corresponding mark data; the proxy server injects a JavaScript code used for processing the replay request into a browser instance of the target Web application; the browser client analyzes the replay request, extracts a dynamic field of a current page of the browser instance, updates parameters of the dynamic field, and initiates the replay request to the target server according to the updated parameters of the dynamic field; and the test tool performs defect logic detection on the target Web application according to response data of the replay request. According to the invention, the replay request bypasses the protection mechanism of the target server, the test flow is efficiently sent, repeated analysis is avoided, and the efficiency of the test system is improved.

The application discloses a kind of virtual test methods based on multi-source data fusion, adopt the mode of real test data and simulation test to realize virtual test, through test data, batch simulation, machine model training, reverse prediction and virtual test etc., a kind of comprehensive, reproducible, repeated analysis, physical field reproduction, multi-source data fusion virtual test method is constructed.The present application is based on limited test data, combined with batch numerical simulation calculation, machine learning algorithm, constructs virtual test.The present application aims to solve the problem of difficult acquisition and less acquisition of offshore test data, can realize the offshore test data " from less to more", point data becomes field data, maximizes the utilization value of real test data (only a small amount).

The invention discloses an agent-based document image-text generation method and system, and the method comprises the steps: calling a large model service according to the input of a user to generate the preliminary content of a document, and adding a special mark and description information into a part related to a chart; positioning description information of the chart through a special mark, and analyzing the description information to obtain a chart type and chart detailed information; performing flow arrangement according to the analysis content, and calling a corresponding type chart generation tool according to the chart type to generate chart content; replacing the generated chart content to the special mark and the chart description position in the document to obtain a replaced document; verifying the consistency and accuracy of the whole replaced document, and repeatedly analyzing and generating the chart when the consistency verification fails until the verification is passed; and finally, outputting the verified final document. According to the method, user requirements can be efficiently met, and the quality and speciality of document generation are ensured.

The invention discloses a research and development project repetition analysis method and device, electronic equipment and a storage medium. The method comprises the steps that a vector of a research and development project document to be approved and a vector of an approved research and development project document are obtained, the vector of the research and development project document to be approved comprises a plurality of first semantic substructures, and the vector of the approved research and development project document comprises a plurality of second semantic substructures; for any project-approved research and development project document, based on a plurality of first semantic substructures corresponding to the research and development project document to be approved and a plurality of second semantic substructures corresponding to the project-approved research and development project document, determining a repetition rate of a vector of the research and development project document to be approved and a vector of the project-approved research and development project document; and determining a repetition analysis result of the research and development project document to be subjected to project establishment based on the repetition rate of the vector of the research and development project document to be subjected to project establishment and the vector of each research and development project document subjected to project establishment. According to the technical scheme, whether research and development projects are repeated or not is automatically analyzed.

The invention belongs to the technical field of running program management, and relates to an agent code processing method and device, equipment and a storage medium. Matching a program running logic template; identifying whether the program operation logic template is analyzed in advance or not; if yes, obtaining a previous analysis result; if not, analyzing the program running logic template to obtain a target analysis result; converting the analysis result into an executable target form; and running the target agent according to the conversion result of the target form. Before the to-be-recognized program operation logic template is analyzed, the pre-recognition condition is added, the actual analysis condition is combined, repeated analysis is avoided, the analysis result is reasonably reused, and the screening operation efficiency of the target agent can be effectively improved. Especially in the financial application scene or the health medical application field, repeated calling and using of the target intelligent agent can be achieved, and the business aided decision making efficiency is improved.

The application discloses a Cosim platform-based test case configuration method and application, and comprises the following steps: analyzing chip registers and table item addresses, and storing the chip registers and table item addresses into a Cosim database; taking the names of the registers and table items in the Cosim database as indexes to match the configuration of Cmodel test cases, and generating corresponding configuration files. The method can separate and realize the original chip registers and table items by analysis, avoid repeated analysis of the public information in different test cases, and improve the conversion efficiency of the Cosim test case configuration by adding the Cosim database to store and match the address of the test case configuration.

The application relates to the technical field of cross technology of artificial intelligence and operation and maintenance, and discloses a multi-agent closed-loop fault diagnosis method and system based on a prompt word, which is used for solving the problem that traditional methods do not have dynamic task planning and feedback adjustment capability and cannot adapt to repeated analysis and step-by-step deepening troubleshooting requirements in operation and maintenance scenes; the method first receives a natural language fault description and generates a session identifier, extracts and fills a business object, an environment identifier, a time window and a symptom label, and then writes the same into a shared state; a general control agent generates a task flow planning with a version and solidifies a task identifier, an input condition, a dependency and a backwrite constraint; a scheduling agent divides and issues instructions in parallel batches according to the dependency; a task agent calls monitoring, log and CMDB data acquisition through an adapter and writes back the results; the general control agent gathers evidence, judges and iteratively adjusts or generates an archived diagnosis report.

Described herein is an apparatus and method for operating said apparatus which may allow for the repeat analysis of a fluid sample. Said apparatus may comprise an inlet segment, an analysis segment, an outlet segment, a bypass segment, a holding segment and fluidic switches, wherein fluidic communication may be established between the holding inlet segment, analysis segment, outlet segment, bypass segment and holding segment.

The invention discloses a document generation method and system based on an autonomous agent, the autonomous agent realizes efficient decision by integrating memory information and deep demand analysis, and the core is that historical interaction data and domain knowledge are utilized to form a memory module; multi-level disassembly (such as intention recognition, implicit condition mining and associated scene analysis) is performed in combination with a context background of a user demand, so that the problem of demand understanding fragmentation is effectively solved, and the accuracy is remarkably improved; besides, a structured plan generated based on memory information defines a tool calling sequence and operation steps, resources such as a database and an API are dynamically called through a protocol layer tool, historical experience is reused, repeated analysis is avoided, and the decision process is accelerated; besides, an evaluation-adjustment closed-loop mechanism is adopted in plan execution, information integrity is verified in real time, and if a gap exists, the plan is intelligently adjusted or tool calling is supplemented, so that output comprehensiveness is ensured.

The invention discloses an executable and linkable file analysis method and electronic equipment, and relates to the technical field of computers, a data structure of an executable and linkable file is identified, whether multi-level data is stored in a multi-level cache or not is queried based on the data structure, and when current-level data is stored in a current-level cache, the executable and linkable file is analyzed. If the current-level data is not stored in the cache, skipping the analysis of the current-level data, directly obtaining an executable and linkable file result from the cache, and if the current-level data is not stored in the current-level cache, loading the current-level data from the hard disk to the current-level cache. According to the method, the same executable and linkable files are analyzed, repeated analysis is not needed, memory occupation is reduced, then the analysis efficiency of the executable and linkable files is improved, data of the executable and linkable files do not need to be loaded from a hard disk through frequent I / O operation, and the performance of an operating system is prevented from being affected.

The application provides a multi-release comparison test method and device, electronic equipment and program product, realizes accurate, light and efficient multi-heterogeneous database adaptation test. The application layer storage process is analyzed to generate unified execution logic, and independent test transactions are created for each target database. The business logic is executed in the transaction to avoid fragmentation bias, cooperate with result comparison analysis, and ensure test accuracy and abnormal recognition accuracy. Based on the multi-source data configuration and the storage process analysis result, the core resources are preloaded to the shared memory. The application layer only needs to maintain a set of business logic, and does not need to adapt the version of multiple databases separately, thereby reducing repeated analysis and disk IO, and significantly reducing resource occupation and deployment cost. The storage process identifier and the data source name are matched with the multi-database connection configuration, the sub-thread is configured according to the number of databases, and the concurrent execution is performed. The test script does not need to be manually written, and the batch comparison can be initiated by simple configuration, thereby greatly shortening the test period and effectively improving the adaptation development and execution efficiency.

The invention relates to a federated learning backdoor attack analysis method and a corresponding defense method. The analysis method comprises the following steps: S1, generating backdoor data; s2, initializing a feature extractor of a local model; s3, replacing a certain proportion of data in the batch of data with backdoor data, and obtaining a represented average value; s4, calculating a regular term about representation similarity to obtain a loss function; s5, updating a feature extractor of the local model; s6, repeating the steps S3 to S5 until the number of local rounds is 1; s7, obtaining a feature extractor of a new global model, and distributing the feature extractor of the new global model to each local model; s8, repeating the steps S2-S7; and S9, analyzing the defense capability of the local model. Compared with the prior art, the method has the advantages of improving the defense capability of federal learning on the poison injection attack of the feature extractor part of the model and the like.

The invention discloses a detection method and device for an SWIFT reconciliation bill, and a medium, and relates to the technical field of bill management. The method comprises the following steps: identifying a paging tag and a transaction tag in an SWIFT account statement file; the paging tag and the transaction tag are preprocessed, paging information in the transaction tag is extracted through a regular expression, and the paging information comprises a statement number and a paging serial number; extracting element information of the transaction label, wherein the element information comprises an account identifier, a transaction amount and a transaction date; splicing the paging information and the element information to generate a transaction identifier, and recording the transaction identifier and a file name of the corresponding SWIFT reconciliation statement file to a temporary database; and comparing the transaction identifier with a historical transaction identifier stored in a main database, and updating a result to the main database. According to the method, the unique identifier is expanded through the paging information, the problem of repeated analysis caused by paging is solved, and the traceability is enhanced.

The invention relates to an asset reference management method and system for a digital picture book generation system and a medium, and the method comprises the steps: executing multi-modal analysis when assets are created or updated, and obtaining a reference asset structured insight package; writing the reference asset structured insight packet into asset storage to realize full-link multiplexing; when the digital picture book generation system loads assets or / and in the process of generating the digital picture book by using a certain asset, the availability of the asset is verified, and if the asset is available, the reference asset structured insight package corresponding to the asset is directly quoted to avoid repeated analysis; and if the assets are withdrawn or have no asset reference authority, the digital picture book generation system removes the assets and the reference asset structured insight packages corresponding to the assets, and outputs a list of the removed assets. According to the asset reference management method, the same asset can be used for multiple times, repeated analysis of the asset is not needed, and repeated analysis cost is reduced; and copyright and compliance risks caused by illegal asset quotation can be reduced.

The invention provides a message analysis method and system, and is applied to the technical field of industrial communication. The method comprises the following steps: acquiring fixed header information and variable body data of an FF protocol message, and judging whether an analysis instruction sequence corresponding to a function code in the fixed header information exists or not by querying a hot field offset cache; if not, analyzing the high-frequency field offset in the message, generating an analysis instruction sequence containing the function code and the field offset, and storing the analysis instruction sequence in a cache; and if so, quickly positioning the high-frequency field by using the offset in the cache, and packaging and outputting the field information. By caching and multiplexing the analysis instruction sequence, repeated analysis of the high-frequency field is avoided, efficient analysis of the FF protocol message is realized, and the analysis efficiency is remarkably improved.

The invention discloses a method and system for repeated analysis of customer group diagnosis, belongs to the technical field of data mining, effectively intercepts highly similar customer groups in a customer group creation stage through rule diagnosis, and reduces the generation of repeated data from the source; through data diagnosis, identification and combination of high-repetition customer groups, the storage space of redundant customer data is directly reduced, CPU and memory resources consumed by repeated calculation of the same batch of customers in subsequent marketing activities are reduced, bitmap calculation and a multi-thread parallel technology are adopted, and the calculation efficiency is improved. According to the method, batch comparative analysis of tens of millions of customers and thousands of customer groups can be completed in an hour level, the performance requirement of enterprise-level large data volume processing is met, clear data insight is provided for operators through a visual repetition rate matrix, the operators can quickly position problematic customer groups and make scientific customer group optimization decisions, and the efficiency of enterprise-level large data volume processing is improved. And the refinement level of customer group management is improved.