40 results about "Reference analysis" patented technology

The invention provides a method and system based on NLP file analysis, and relates to the technical field of natural language processing. According to the method, time and identifier unification and format and character set standardization are carried out on the multi-source file, layout segmentation, table structure extraction, reference analysis, term standardization and anaphora resolution are combined, semantic representation is constructed, a hierarchical index and a unique traceability identifier are generated, intention recognition, retrieval sorting, incremental updating and consistency verification are supported, and the method is suitable for large-scale popularization and application. Unification, semantization and traceability of the file analysis process are achieved, and the processing efficiency and accuracy are improved.

The invention provides a multi-source data fusion analysis system for electronic commerce digitization insight, and relates to the technical field of data processing, and the system comprises a reference analysis unit used for selecting a reference analysis unit in a spatial relation structure, calculating fractal dimension features of feature vectors, carrying out multi-level recursive division on the analysis unit based on fractal dimension values, and carrying out multi-level data fusion analysis on the fractal dimension values; each level of division keeps a self-similarity characteristic, and feature partitions are obtained; the partition space distribution module is used for mapping the feature vector distribution to corresponding feature partitions and calculating partition space distribution weights based on vector density distribution and space position relations of the feature partitions; the value evaluation module is used for performing parameter adjustment on the deep learning network by using the partition space distribution weight to obtain a value evaluation result; and the value evaluation module is used for processing a value evaluation result through a multi-modal fusion algorithm, generating a personalized recommendation strategy based on a reinforcement learning framework, and calculating resources and an intelligent routing algorithm so as to complete a digital insight analysis process. The e-commerce data utilization efficiency and the decision-making effect can be improved.

The invention relates to the technical field of data processing, can be applied to business scenes of battery management, financial science and technology, medical health and the like, and discloses a battery unit anomaly detection method, device, equipment and medium, and the method comprises the steps: obtaining static attribute data and operation state parameters of a plurality of battery units, and generating a homogenized battery unit group through dynamic clustering; performing dynamic reference analysis by using the internal resistance data, identifying abnormal battery units and generating a preliminary abnormal battery unit set; classifying the abnormal battery units by using a time sequence analysis model, and generating and confirming an abnormal battery unit list; and generating a battery unit maintenance schedule based on the confirmation list and a preset maintenance knowledge base. According to the invention, through combination of the dynamic reference analysis model and the time sequence analysis model, the abnormal state of the battery unit is accurately identified, a potential problem battery can be found in time, the efficiency and accuracy of a battery monitoring system are improved, and the reliability of the battery at a critical moment is guaranteed.

The invention relates to the technical field of education, and discloses an online learning environment-oriented education interaction behavior recognition system, which is characterized in that a standardized cognitive model is constructed offline based on interaction data of a high-performance learning group; in the online stage, interaction events of individual learners are obtained in real time, high-dimensional cognitive trajectories representing cognitive states of the learners are generated, a trajectory dynamics analysis module executes double reference analysis, and internal dynamics indexes representing stability of the trajectories are obtained by calculating the maximum Lyapunov index, recognizing phase change points and the like; the external deviation measure of the difference between the trajectory and the normalized cognitive model is obtained by calculating the state deviation degree, the path efficiency and the like, and finally, the cognitive mode diagnosis module integrates the indexes and generates a structured diagnosis description according to a rule base. According to the method, through combination of internal dynamics and an external reference system, deep quantification and fine identification of the cognitive process of the learner can be realized, and an objective basis is provided for adaptive intervention.

The invention provides a cross-file semantic association analysis system based on a hierarchical rule engine. The cross-file semantic association analysis system comprises a plurality of modules, wherein a code compilation analysis module is used for converting an input code file into an AST object and executing cross-file dependency and reference analysis; the semantic fact construction module generates an initial fact set according to the data output by the code compiling and analyzing module; the rule interpreter receives the rule set of the hierarchical rule base and constructs a corresponding hierarchical rule network; the rule matcher injects the initial fact set into the hierarchical rule network in a streaming mode to execute rule matching; the condition verification module verifies a rule matching condition according to the input fact data and returns a result; when rule matching succeeds, the rule executor executes corresponding processing logic and updates the fact base; and the result analyzing and processing module analyzes and integrates the final reasoning fact data and writes a result into a conclusion library. The method can be used for constructing a universal cross-file code context analysis system, and the code static analysis performance is improved.

The embodiment of the invention provides a story text processing method and device and a related product, and the method comprises the steps: obtaining a story text, and obtaining a plurality of text analysis dimensions corresponding to the story text; according to the content features of the story text, determining a first analysis dimension matched with the story text in the plurality of text analysis dimensions, and taking the text analysis dimensions except the first analysis dimension in the plurality of text analysis dimensions as second analysis dimensions; determining a first analysis mode of the story text in the first analysis dimension, and analyzing the story text according to the first analysis mode to obtain a first analysis result of the story text in the first analysis dimension; and analyzing the story text according to a reference analysis mode configured for the second analysis dimension to obtain a second analysis result of the story text in the second analysis dimension.

The invention discloses an ecological and economic multi-target collaborative decision-making system and method for comprehensive treatment engineering in the technical field of ecological environment treatment, and the system comprises a data collection module which is used for obtaining the historical data of carbon reserves and undetermined influence factors; the data screening module is used for acquiring model influence factors and dividing the model influence factors into governance regulation factors and non-regulation factors; the reference analysis module is used for obtaining a governance regulation factor reference value based on the carbon reserves and the species diversity index; the adjustment amplitude analysis module is used for setting the adjustment amplitude and determining the numerical change of a non-adjustment factor; the model construction module is used for obtaining a carbon reserve prediction model; and the carbon reserve assessment decision module is used for carbon reserve prediction and adjustment amplitude determination. According to the method, the ecological target and the economic target are jointly used as the basis of reference definition, the regulation and control scheme is generated based on the basis, and decision support with both ecological and economic benefits is provided for treatment engineering through modular cooperative operation.

The invention relates to the technical field of intelligent decision making, can be applied to business scenes such as financial science and technology and medical health, and discloses an analysis method, device and equipment based on distribution alignment and a medium, and the method comprises the steps: obtaining historical business data and reference analysis label data, constructing reference probability distribution, and training an analysis model to obtain an optimization model; and inputting the to-be-analyzed business data into the optimization model to generate target analysis probability distribution, calculating a statistical feature value and a confidence interval, and generating an analysis report containing abnormal prompt information based on the statistical feature value and the confidence interval. According to the method, distribution alignment is carried out on the model by referring to probability distribution, so that the model outputs probability distribution with group judgment features; providing result credibility expression through statistical feature values and confidence intervals; the interpretation and reliability of an analysis report are enhanced through abnormal prompt, and the stability and practicability of an intelligent analysis system in an uncertain scene are improved.

The invention discloses a document-level relation extraction method and system based on knowledge enhancement and evidence guidance, and belongs to the technical field of natural language processing and information extraction. According to the invention, three core modules are mainly used for cooperative work: a document graph enhancement module is used for constructing a hierarchical heterogeneous graph and fusing co-reference analysis to enhance semantic representation; the knowledge enhancement module introduces an external knowledge base and adopts a confidence coefficient filtering mechanism to reduce knowledge noise; the evidence guidance reasoning module realizes multi-hop reasoning through axial attention and evidence supervision, and solves the technical problems of decentralized modeling of reasoning capability, large knowledge integration noise, insufficient evidence guidance and limited long-range dependence capture capability in the existing method. Experiments show that the method can effectively capture inter-sentence dependence, suppress knowledge noise and improve multi-hop reasoning stability, and can be widely applied to scenes such as knowledge graph construction, intelligent question and answer and information retrieval.

The invention provides a DFMEA analysis method and a computer program product, and the method comprises the steps: firstly determining an analysis main body and an analysis intention based on a failure question after obtaining the failure question related to a to-be-tested product; based on the analysis main body and the failure questions, a keyword query mode and a vector query mode are adopted to retrieve various reference analysis knowledge from a pre-constructed multi-source knowledge base; and finally, based on the analysis subject, the analysis intention and all reference analysis knowledge, calling a large language model, and generating a DFMEA analysis result corresponding to the analysis subject. The multi-source knowledge base is created on the basis of various heterogeneous data sources and comprises a large amount of analysis knowledge, so that reference analysis knowledge can be accurately searched from the multi-source knowledge base by adopting a keyword query mode and a vector query mode, and finally, a large language model is called to generate a DFMEA analysis result, so that DFMEA analysis is automatically performed, and the efficiency is improved. Manual analysis is not needed, and the analysis efficiency is improved.

A method and system for interaction analysis are disclosed. An example method for evaluation of an interaction between an analyte in a fluid sample and a ligand immobilized on a sensor surface of a biosensor includes providing a reference binding curve, representing a reference interaction for a predetermined acquisition cycle, by acquiring, using the biosensor, one or more binding curves for a reference-analyte ligand interaction at the predetermined acquisition conditions, acquiring, using the biosensor, a sample binding curve for the analyte ligand interaction for the predetermined acquisition cycle including at least one association phase wherein the sensor surface is put into contact with a fluid sample including analyte at a predetermined concentration, and generating a graphical user interface, including an upper threshold curve and a lower threshold curve defined with respect to the reference binding curve.

The present invention is provided with: a learning model holding unit (8) that holds a learning model created using learning model creation data, the learning model creation data includes a plurality of parameters of analysis data acquired by normal analysis, and a plurality of parameters of each of a plurality of analysis data acquired by analysis in a state in which a plurality of types of abnormalities are individually present or mixed. The learning model trends to learn the influence of each of the plurality of anomalies on the plurality of parameters; an analysis data holding unit (10) that holds reference analysis data obtained by normally analyzing a reference sample containing a specific component under specific analysis conditions, and analysis data to be diagnosed; the analysis data of the diagnosis object is obtained by analyzing a sample containing at least the specific component under the specific analysis conditions; and an abnormality estimation unit (12) configured to apply the plurality of parameters of each of the reference analysis data and the analysis data to be diagnosed to the learning model, thereby estimating an abnormality type existing in an analysis performed when the analysis data to be diagnosed is acquired.

The application discloses a kind of project intelligent review method and system based on data analysis, it is related to engineering project analysis management technical field, comprising: according to the data retrieval of database system to the project name to be reviewed.This application filters out multiple groups of relevant project historical data according to the key features of different stages of the project to be reviewed, then reviews multiple groups of relevant project historical data according to the review standards of different stages of the review project, obtains multiple groups of reference review scores, then analyzes the importance of different stages of the project to be reviewed in the whole stage, obtains the evaluation weight corresponding to different stages of the project to be reviewed, finally, calculates the reference review score and the evaluation weight corresponding to different stages of the project to be reviewed, determines the evaluation score of the project to be reviewed, determines the evaluation result of the project to be reviewed according to the evaluation score of the project to be reviewed, therefore, by reference analysis to the completed project with relevance, it avoids that review result appears larger error.

The invention provides an underwater robot navigation method and system combined with multi-modal data, and the method comprises the steps: firstly calling a pre-trained multi-modal navigation deep learning model to carry out navigation path reference analysis on multi-modal navigation data such as underwater acoustic detection data and underwater optical imaging data of an underwater robot operation area, and generating a navigation reference scheme; then, the underwater robot is driven to execute initial navigation operation according to the navigation reference scheme, and real-time multi-mode feedback data are collected; and inputting the feedback data into the model to carry out navigation deviation correction analysis, generating a correction instruction, adjusting navigation parameters, and then executing corrected navigation operation. And continuously collecting multi-modal monitoring data in an operation execution process after correction, and inputting the multi-modal monitoring data into the model for navigation state monitoring until the underwater robot reaches a target navigation position. The multi-modal data is fused, the navigation precision and adaptability are improved, the underwater environment change can be timely handled, and the navigation stability and safety are guaranteed.

The invention relates to the technical field of safety detection of nuclear reactor equipment, in particular to an irradiation damage nondestructive detection method for a reactor pressure vessel and related equipment. The method comprises the following steps: carrying out material magnetic non-uniformity reference analysis before a reactor pressure vessel is put into operation to obtain corresponding original material magnetic distribution characteristics and a magnetic reference database, carrying out detection region division, and determining a plurality of vessel detection regions; performing local magnetization reference retest on each container detection area to calibrate the magnetic reference database; in the process that the reactor pressure vessel is put into operation, each vessel detection area is magnetized again, and corresponding target area magnetic field signals are collected; and according to the magnetic reference database and the target area magnetic field signal, performing damage evaluation on each container detection area to obtain a damage evaluation result. Therefore, the nondestructive testing and evaluation of the material irradiation damage of the reactor pressure vessel can be carried out, and the method has better accuracy performance.

The invention discloses a data reference representation method, which comprises the following steps of: acquiring a configuration file for describing a page component, and distributing an identifier for a reference object in the configuration file; in the configuration file, representing a data reference relationship in the configuration file by using a preset reference prefix and an identifier to obtain a reference expression; the preset reference prefix is used for distinguishing reference types; defining a reference mapping item in the configuration file; each reference mapping item records corresponding information between the identifier and the external file path. Correspondingly, the invention further discloses a data reference analysis method which comprises the following steps: acquiring the configuration file containing the reference expression; identifying the type of a reference prefix in the reference expression; determining a corresponding analysis strategy according to the type of the reference prefix; analyzing the reference expression into actual data based on an analysis strategy; and executing a data replacement operation, and replacing the reference expression with an analysis result.

The invention discloses an intelligent gas turbine regulation and control system based on multi-source operation reference analysis, and relates to the technical field of intelligent regulation and control. And the blade fracture risk prediction module analyzes the double-source abnormal value and calculates a risk coefficient, and if the risk is pre-judged, the airflow regulation and control module is triggered to execute a strategy of suddenly pressurizing to the maximum so as to blow away blockages, so that closed-loop intelligent regulation and control are formed. According to the method, the collaborative anomaly index is constructed through air pressure and vibration multi-source data fusion, and early-stage accurate early warning is realized in combination with time sequence trend analysis; after the risk is predicted, sudden pressurization unblocking is actively triggered, and passive shutdown is avoided; non-intrusive deployment and standardized risk coefficient calculation are adopted to adapt to multiple models; the risk is judged based on the continuous deterioration trend, instantaneous interference is filtered, and the interference immunity and decision reliability are improved.

The application relates to the technical field of mineral exploration, and discloses an intelligent evaluation method and system for mineral resource exploration and a storage medium. The method comprises the following steps: obtaining multi-source geological data of a region to be evaluated, dividing remote sensing physical data into first remote sensing physical data corresponding to sampling points and second remote sensing physical data not corresponding to the sampling points, constructing a preset model based on geological exploration data and the first remote sensing physical data, estimating geological exploration data of virtual sampling points by using the model, combining the estimated data with original data to generate new multi-source geological data, generating a first geological spatial structure and a plurality of second geological spatial structures by two preset geological modeling methods, selecting the closest one to the first geological spatial structure as a reference, analyzing the reference geological spatial structure, calculating the average abundance of minerals and the volume of ores, and then predicting the reserves of mineral resources and performing evaluation. The application improves the accuracy and efficiency of mineral resource evaluation and reduces the exploration cost.

This method enables the fully automated creation of a wiki from a text corpus. The lists of articles to be created are generated using either a vector-based or a purely frequency-based analysis. The actual text creation step always employs a RAG (Reference Analysis Group) method, in which the LLM (Licensed Life Sciences) uses a vector database to create well-founded, context-appropriate articles. This results in a scalable, well-structured, and linked knowledge system that can be used in various disciplines—from corporate and legal or medical documentation to large scientific archives.

The invention relates to the technical field of printing process optimization, and discloses an intelligent printing process parameter optimization method and equipment, and the method comprises the steps: obtaining full-process monitoring data of printing equipment through a multi-dimensional sensing module, carrying out the process quality correlation analysis to obtain printing quality analysis characteristics, constructing quality influence factors and corresponding factor value information, and carrying out the analysis of the printing quality. A potential optimization strategy is obtained through genetic algorithm optimization, a feasible optimization strategy is screened out through physical simulation of a digital twinborn body of printing equipment, the feasible strategy is allocated to multiple pieces of printing equipment to be executed for collaborative reference analysis, an iterative optimization strategy is obtained, and intelligent optimization of printing process parameters is achieved. The printing quality and the production efficiency are improved, the manual intervention complexity and cost are reduced, the strategy collaboration and continuous optimization capacity between equipment is enhanced, and the problem that in the prior art, the effect of manually adjusting printing process parameters is poor is solved.

A transmission shaft life optimization method based on a digitalized generation structure comprises the steps that according to original geometry and material attributes, after the rigidity and fatigue life of an original shaft are obtained through finite element reference analysis, a preliminary CAD model is generated through neural network topology; and performing iterative finite element performance evaluation to obtain an optimization model of which the rigidity and the service life meet the requirements for manufacturing. According to the invention, through topology generation driven by the neural network and a multi-objective optimization strategy, rigidity and strength maintenance of the transmission shaft is realized, and structural parameters are automatically and intelligently regulated and controlled through a required life value input by a user, so that light weight is realized, and a test period is shortened.

The invention provides a video generation method and device, electronic equipment, a storage medium and a program product. The method comprises the following steps: in response to an acquisition operation for a reference material in a display interface, confirming a reference video and an initial prompt text related to the reference video; in response to an input operation for an input area in the display interface, displaying input content in the input area; wherein the input content comprises an input prompt text obtained based on the initial prompt text and a material identifier about a target object; performing multi-modal analysis on the reference video to obtain a reference analysis text describing a preset dimension of the reference video about a plurality of modals; generating a target video for the target object based on the reference analysis text, the input prompt text and an input material indicated by the material identifier; and the target video and the reference video have similarity in the preset dimension, so that the creation quality of the video can be improved.

The invention discloses an intelligent electric pulse physiotherapy control method based on AI adaptive feedback, and relates to the field of electric pulse physiotherapy control, and the method comprises the following steps: collecting a biological feedback signal of a physiotherapy user, and collecting subjective feedback data of the user; converting the subjective feedback data into effective subjective data and preliminarily analyzing feedback analysis data between different biological feedback signals and the subjective feedback data; deeply analyzing the influence of different biological feedback signals on subjective feedback data, and constructing a historical reference analysis scheme and a prediction reference analysis scheme to carry out influence calibration on feedback analysis data to obtain feedback reference data; intelligent control is performed on the intelligent electric pulse physiotherapy based on the feedback reference data; the method and the device are used for solving the problem that the electric pulse intensity cannot be adjusted timely and accurately due to the fact that pain perception acquisition is not intelligent and not accurate enough in the existing electric pulse physiotherapy control technology.

The application discloses a method for de-obfuscation and feature extraction of phishing documents and application thereof in attack detection, wherein the de-obfuscation comprises obtaining obfuscated macro code of the phishing document, constructing a hint engineering template by using a pre-trained language model, analyzing an obfuscated logic structure and generating de-obfuscation rules and restoration strategies; the obfuscated macro code is structured into an abstract syntax tree by using an analysis tool, typical obfuscated patterns are matched based on a regular expression, function execution simulation and cell reference analysis are combined, preliminary restoration of the structure, restoration of control flow semantics and operation path construction are realized; according to the de-obfuscation rules and the abstract syntax tree, the obfuscated structure is converted into readable macro statements, a macro code instruction sequence without obfuscated semantics is generated, and a semantic sequence after de-obfuscation is output. The feature extraction comprises extraction of word features, Token features, abstract syntax tree features and relationship features. The application breaks through the bottleneck of traditional phishing attack detection and difficulty in identification of obfuscated documents, and improves the detection accuracy of phishing document attacks.

The invention provides an operation and maintenance software adaptive optimization method and system based on intelligent diagnosis, and relates to the technical field of operation and maintenance management.The method comprises the steps that operation state data of an operation and maintenance object is collected in real time, the operation state data is organized into a multi-dimensional data set, and a data feature distribution structure is constructed based on the multi-dimensional data set; the method comprises the following steps of: dividing a reference analysis range in a data feature distribution structure, recursively dividing the high-dimensional reference analysis range into eight octant nodes according to internal characteristics of data, and dynamically adjusting division levels according to data volume and data distribution uniformity in each octant to obtain a plurality of octant feature analysis areas; according to the method, self-adaption and continuation of operation and maintenance diagnosis and optimization are realized, and the operation and maintenance efficiency and the software operation stability are improved.

The application relates to a kind of automobile wheel arch height measurement method and device, and relates to the technical field of automobile manufacturing and maintenance detection;It includes the following steps: by moving laser and camera to the space position corresponding to the theoretical height position of wheel arch, establish the image space reference associated with the design height of vehicle;Turn on the laser and project parallel laser stripe with known physical interval to the vehicle body, based on the image space reference analysis collected calibration image, calculate real-time pixel equivalent;Turn off the laser, the contour image of wheel arch area is collected by camera, the real-time pixel equivalent is used as calibration scale, the vertex coordinates of the lower edge contour of wheel arch are extracted;Fusion vertex coordinates, real-time pixel equivalent and pre-stored system reference compensation value are calculated, the absolute height value of wheel arch is output and judged and managed.The application has the effect of realizing high-precision, automatic wheel arch absolute height measurement under non-accurate parking conditions.

The application discloses a training data generation method and an electronic device, relates to the technical field of model data training, and through accurate symbol tracking and cross-file reference analysis of a parsed tree model after training, structured data generated more accurately reflects the use and semantic relationship of symbols in a code library, thereby providing a solid foundation for subsequent generated training data. By associating the structured data with technical specification documents, the generated knowledge base contains official definitions and functional descriptions of code symbols, which can greatly enhance the understanding ability of a large model for underlying system code. The construction of a global symbol table takes into account conditional compilation and multi-architecture support, which enables the generated training data to cover different compilation configurations and architectures, thereby enhancing the generalization ability and practicality of the model. Therefore, the problem that existing schemes are difficult to generate effective training data in complex scenarios can be solved.

The invention provides a wearable device and a wearing adjusting method and system.The wearing adjusting method comprises the steps that when a current user wears the wearable device, actual fistulization blood vessel associated information of the current user is acquired based on a plurality of monitoring components at the current position; analyzing the information to obtain an actual analysis result; obtaining a comparison result of the analysis result and a reference analysis result, and generating a position adjustment instruction when the comparison result does not meet a preset condition; after the positions of the monitoring components are adjusted according to the position adjusting instruction, actual fistulization blood vessel associated information of the current user is collected again, and it is determined that adjusting operation is completed until the corresponding comparison result meets the preset condition. Through the wearing adjustment scheme provided by the invention, the position of the monitoring component can be individually adjusted and set according to different users, and the accuracy of monitoring the fistulization blood vessel and the use experience of the user are improved.

The application relates to a memory object reference analysis method and device, computer equipment, a storage medium and a computer program product. After a memory object query request is acquired, memory object address information is searched. According to the memory object address information, a socket connection mode is used to access a memory monitoring object. Memory object serialization information fed back by the memory monitoring object is acquired. The memory object serialization information is deserialized to acquire memory object reference information corresponding to the memory object query request. Memory object reference analysis information is generated according to the memory object reference information. The memory object reference analysis method can acquire memory object serialization information from the memory monitoring object through the socket connection, thereby obtaining corresponding memory object reference relationships through deserialization, realizing memory object reference relationship identification and display in a running process of the memory monitoring object, and performing more in-depth memory object reference analysis.

The invention relates to the field of data processing, in particular to a method for constructing a traditional Chinese medicine knowledge vector database in combination with a large model, which comprises the following steps: determining whether to perform intelligent auxiliary verification on each newly added entity combination according to an initial auxiliary verification coefficient; during intelligent auxiliary verification, determining to adopt link reference analysis or link extension analysis to perform intelligent auxiliary verification on the auxiliary verification combination according to the link rich index and the link effective verification index; during link reference analysis, determining a verification setting parameter of a verification reference coefficient for each link analysis entity according to the effective link parameter so as to determine an association confidence coefficient; during link extension analysis, determining whether to match an extension verification entity for the auxiliary verification combination according to the association coverage evaluation parameter so as to determine an association confidence coefficient; and determining whether to adjust the association confidence coefficient of each newly added entity combination according to the auxiliary effective coefficient, and determining whether to send confidence early warning information to the user for each newly added entity combination based on the association confidence coefficient. The actual construction efficiency and accuracy of the traditional Chinese medicine knowledge vector database are improved.