32 results about "Similarity test" patented technology

The invention discloses a ship target identification tracking method and system based on multi-source data fusion, and relates to the field of electric digital data processing, and the method comprises the steps: collecting ship monitoring data of a multi-source sensor, including position coordinates, area and color features; generating an initial ship trajectory according to the monitoring data, calculating the speed, area and color similarity of a detection point, and associating to obtain a trajectory pair; carrying out abnormal point identification and trajectory optimization based on a similarity energy function containing options such as dynamics and continuity; calculating the state difference between the optimized trajectories to perform similarity test, and judging the trajectories exceeding a threshold value as the same target to form a multi-source trajectory group; and calculating a dynamic fusion weight according to the error standard deviation of the trajectory relative to the average trajectory, and performing weighted fusion to obtain a target trajectory. By implementing the method, the fusion precision of the ship target trajectory can be improved.

The invention provides a coal-pillar-free self-roadway-forming multi-size working face similar simulation test device and a control method thereof. The coal-pillar-free self-formed roadway multi-size working face similar simulation test device comprises a base; an adjustable side wall; and a boundary sidewall. According to the coal-pillar-free self-roadway-forming multi-size working face similar simulation test device and the control method thereof provided by the invention, the length of the adjustable side wall or the setting position of the boundary side wall is adjusted, so that the size of a model body required to be formed in a simulation process can be adjusted; therefore, the width, length and coal seam thickness of the simulated working face can be changed, the simulation process which can be carried out by a two-dimensional geomechanical model test device in the prior art can be completed, and simulation of different geological conditions and simulation of different construction methods can be further realized by utilizing size changes. Therefore, the test effect and the test precision of the influence on coal mining are effectively improved.

The invention provides an intelligent dialogue method and system, and belongs to the technical field of artificial intelligence. The method comprises the steps of obtaining local feedback data based on question key data and a local knowledge base; wherein the question key data is obtained by analyzing the captured question information; performing network retrieval according to the question key data to obtain network feedback data; when it is determined that a similarity test result between the local feedback data and the network feedback data meets a preset condition, question answer data is generated based on the local feedback data and the network feedback data; and inputting the question answer data into the large language model for adjustment to obtain feedback information for answering the question information. Therefore, when the large language model is applied to some special industry fields, the data security of the local knowledge base can be fully ensured, the situation of confidential information leakage is avoided, and the purpose of analyzing and processing user problems in some special industry fields is achieved.

The invention relates to an offshore wind turbine large-diameter single pile foundation similarity test method for a centrifugal machine platform. The method is suitable for the technical field of offshore wind turbine single-pile model test design under geological engineering sea area earthquake load. The technical problem to be solved by the invention is to provide the similar test method for the large-diameter single pile foundation of the offshore wind turbine for the centrifugal machine platform. According to the technical scheme, the similar test method for the large-diameter single pile foundation of the offshore wind turbine for the centrifugal machine platform is characterized by comprising the following steps: determining a model between a prototype structure in a prototype field and a primary scaling model in a 1g field; the similarity criterion obeyed by each test parameter between the primary scaling model and the secondary scaling model in the centrifugal field is determined; and determining the similarity ratio of each test parameter between the prototype field and the centrifugal field based on the similarity criterion followed by each test parameter after two times of scaling.

A kind of similarity test model that can simulate tunnel blasting dust production, comprising front and rear monitoring area model and dust production area model.The monitoring area model includes first cylinder transversely arranged and dust monitoring module arranged in the first cylinder, the dust monitoring module includes at least four particulate matter sensors arranged on the top, bottom and two side walls of the first cylinder.The dust production area model includes second cylinder transversely arranged and connected with the rear end of the first cylinder at the front end, the dust production mechanism is arranged in the second cylinder, and the second cylinder is also provided with a spraying device capable of spraying dust suppressant near the end of the first cylinder.The monitoring area model can monitor the dust concentration at different sections and different positions, and the dust is produced by dust spraying device instead of blasting, which has high safety, controllable dust production and good operability.Not only can simulate the dust production law and diffusion law of dust in tunnel, but also can carry out simulation test of dust suppressant, has multiple functions and wide applicability.

The invention provides a rub-impact fault nonlinear characteristic evolution law analysis method based on peak statistics in a period, and the method comprises the steps: firstly building a rub-impact fault model, and selecting two kinetic parameters in the model as analysis parameters; according to the selected dynamic parameter value interval range, a two-dimensional parameter space is established, grid division is carried out, a plurality of grid points are obtained, and each grid point corresponds to one parameter combination; performing numerical integration on each parameter combination to obtain a converged model output steady-state track; and continuously capturing a plurality of extreme points in the steady-state track to perform cycle similarity test, counting the number Nspike of spike pulses in a single cycle as a characteristic quantity, mapping the characteristic quantity to a two-parameter plane to generate an isoperidic map, and obtaining a distribution range of a chaos interval in the isoperidic map. According to the method, the calculation complexity of parameter sensitivity analysis can be remarkably reduced on the premise of keeping accurate identification of chaotic threshold parameters by counting the peak characteristics of the system in periodic oscillation.

This invention discloses a physical similarity test method for roof and floor deformation during mining based on distributed optical fibers. It constructs an integrated optical fiber observation network for the roof and floor within a similar physical model, supplemented by low-temperature lattice coding calibration and orthogonal strain coupling at intersection points. This invention achieves full-field, continuous, and high-resolution acquisition of the roof and floor deformation field and fracture development process under mining conditions, significantly improving the spatial resolution and strain measurement accuracy of roof and floor deformation monitoring during mining. It enables synchronous distributed monitoring and unified spatial coordinate calibration of the roof and floor at different height interfaces. Furthermore, it achieves continuous and detailed observation of the entire roof and floor deformation process during mining, providing reliable experimental evidence and data support for evaluating the stability of the roof and floor in coal mines.

The invention provides a two-dimensional similarity test platform vehicle dynamic load applying device and method, and the device comprises a geological two-dimensional similarity test platform, a vehicle dynamic load simulation mechanism, and a data collection and analysis map recording device. The geological two-dimensional similarity test platform comprises a test bench main body structure, a geological model and a simulated road surface, the vehicle dynamic load simulation mechanism comprises a dynamic load applying device, the vehicle dynamic load simulation mechanism is connected with the test bench main body structure and located on the geological two-dimensional similarity test platform, and the dynamic load applying device is used for controlling the model vehicle to apply dynamic impact force and vibration load to the simulated road surface so as to simulate vehicle flow load; the data acquisition and analysis atlas recording device comprises a plurality of displacement monitoring modules and a plurality of stress monitoring modules, the displacement monitoring modules are used for detecting displacement parameters of the geologic model, and the stress monitoring modules are used for detecting stress parameters of the geologic model.

This application relates to a SAR ship detection method and apparatus that incorporates spatiotemporal context information. The method includes: performing sub-view processing on a SAR ship image to obtain SAR sub-views corresponding to different synthetic aperture times; constructing a spatiotemporal context covariance matrix based on the SAR sub-views; performing a similarity test on the spatiotemporal context covariance matrix to obtain a similar sample count feature; utilizing the similar sample count feature to enhance the SAR ship image to be detected to obtain an enhanced SAR ship image; and performing ship detection on the enhanced SAR ship image using an adaptive threshold processing method and morphological filtering to obtain a ship detection result. This method can improve ship detection performance.

The invention discloses a reduced scale similarity test platform and method for slope type gravity energy storage, and relates to the technical field of energy storage, and the platform comprises an upper warehousing system, a slope transportation simulation system, a lower warehousing system, an energy storage load-carrying vehicle, an intelligent monitoring and control system, and a multi-parameter test analysis system. Through combination of the height adjustable characteristic of the upper warehousing system and the fixed foundation of the lower warehousing system, different terrain height differences and gradient conditions can be flexibly simulated, the energy storage load-carrying vehicle is strictly designed based on the physical similarity theory, accurate correspondence of dynamic characteristics between a reduced scale model and a prototype is ensured, and the dynamic performance of the energy storage load-carrying vehicle is improved. Through cooperative work of the intelligent monitoring and control system and the multi-parameter test analysis system, real-time sensing, comprehensive data acquisition and deep analysis of the operation state of the platform are achieved, and the automation degree, the measurement precision and the research efficiency of the test are greatly improved.

This invention relates to a fraudulent image detection method based on CTFNet, belonging to the field of fraud detection technology, and includes the following steps: S1: Constructing a fraudulent image training set and an image similarity test set; S2: Constructing a CTFNet feature extraction network to extract local features, global features, and high- and low-frequency features in the spatial domain of the two datasets respectively; S3: Calculating the cosine similarity of the features of the two datasets respectively, and obtaining the similarity threshold of the fraudulent image through adaptive weighted fusion; S4: Inputting the image to be detected into CTFNet to extract local features, global features, and high- and low-frequency features in the spatial domain of the image to be detected; S5: Calculating the cosine similarity of the features of the image to be detected and the fraudulent image training set, and obtaining the best similarity score of the image to be detected through adaptive weighted fusion; S6: Comparing the best similarity score of the image to be detected with the similarity threshold of the fraudulent image to obtain the detection result of the image to be detected.

The invention discloses an integrated STRaM characteristic gene marker spectrum evaluation system for a human cell product, and relates to the field of cytobiology and genomics, the integrated STRaM characteristic gene marker spectrum evaluation system comprises a first evaluation assembly, a second evaluation assembly and a third evaluation assembly, the first evaluation assembly is an original sample purity algorithm and is used for constructing a sample purity test method; the second evaluation assembly is used for carrying out various tests, including a traceability similarity test, a sample purity test and a gene editing and mutation test; the second evaluation component is also used for detecting microbial contamination of integrated bacteria, fungi and mycoplasmas and detecting integration sites of exogenous genes; and the third evaluation component expands and simplifies evaluation indexes on the basis of a test result of the second evaluation component. According to the method, traceability similarity evaluation, sample purity evaluation and cell gene modification evaluation are preliminarily integrated, the method is combined with the production process of cell treatment products, and informatization and simplification management monitoring can be carried out on the human cell products.

The application discloses a self-propelled model power similarity design method of a super-high-speed planing boat, and relates to the ship technology field.The method estimates a model power system according to static water towing test data after a self-propelled model is manufactured, then carries out static motion test and dynamic planing test on the self-propelled model loaded with the model power system to obtain a change curve of a throttle lever operating position with time, a change curve of a speed with time and a relationship curve of the throttle lever operating position and static thrust, and then determines a static thrust correction coefficient through a data analysis method to correct the static thrust of the self-propelled model, and directly carries out power similarity design according to a thrust similarity criterion, which is favorable to improving the precision and practicability of the self-propelled model power similarity test of the super-high-speed planing boat, and can meet the design requirements of the power system of the super-high-speed planing boat and the self-propelled model.

This invention discloses an intelligent diagnostic method for train traction motor defects based on multimodal fusion, relating to the fields of pre-diagnosis and health management. It addresses the problem of insufficient accuracy in diagnosing train traction motor defects, and includes the following steps: Step S1: Acquire the motor's operating status data; Step S2: Acquire a baseline data list and a defect data list; calculate the defect data difference between the baseline data list and the defect data list, and map the defect data difference to obtain a mapped value; Step S3: Perform feature calculation to obtain the feature values ​​of the motor defects, and sort the various operating data of the motor according to the feature values; obtain the mapping interval of the mapped value, and construct a polar coordinate image by combining the mapped value and the sorting result; Step S4: Acquire the motor's real-time data; perform a similarity test between the real-time data image and the feature image of the defective motor; This invention can effectively improve the accuracy of motor defect diagnosis.

The invention relates to a fraud image detection method based on a CTFNet, and belongs to the technical field of fraud detection, and the method comprises the following steps: S1, constructing a fraud image training set and an image similarity test set; s2, constructing a CTFNet feature extraction network, and respectively extracting local features, global features and frequency domain high and low frequency features of two data set airspaces; s3, the cosine similarity of the features of the two data sets is calculated, and a similarity threshold value of the fraud image is obtained through adaptive weighted fusion; s4, inputting a to-be-detected image into the CTFNet, and extracting local features, global features and frequency domain high and low frequency features of a spatial domain of the to-be-detected image; s5, calculating the cosine similarity of the features of the to-be-detected image and the fraud image training set, and obtaining the optimal similarity score of the to-be-detected image through adaptive weighted fusion; and S6, comparing the optimal similarity score of the to-be-detected image with a similarity threshold value of the fraud image to obtain a detection result of the to-be-detected image.

A cushion layer and assembly method for similarity testing of CFG pile composite foundations, belonging to the technical field of similarity testing of civil engineering foundations, comprises an upper wooden board, an upper filler, a polystyrene foam board, a lower filler, and a lower wooden board. This cushion layer has the advantage of having physical and mechanical parameters similar to those in prototype tests. It is used to study the bearing mechanism and load transfer behavior of CFG pile composite foundations, achieving the coordinated operation of the "CFG pile-soil-cushion layer" system. When specifically applied to tests, the cushion layer more closely resembles the load transfer behavior of prototype tests of CFG pile composite foundations. Furthermore, the cushion layer can be prepared according to the dimensions required by the engineering design, resulting in a simple process, convenient preparation, and low testing costs.

A method for generating documentation for a segment of code, comprising executing a code in a development environment for: identifying in a file an updated code segment having a first set of lines, each similar according to at least one text similarity test to one of a second set of lines of a copy of an original code segment that is part of a source documentation object and where the first set of lines is not contiguous in the updated segment and additionally or alternatively the second set of lines is not contiguous in the original segment, by applying the at least one similarity test to at least one original line of the original segment and at least one updated line of the updated segment; and generating an updated source documentation object by modifying the copy of the code segment in the source documentation object according to the updated segment.

A training method of a generator network model and an electronic device for execution thereof are provided. The training method includes: extracting a first tensor matrix and a second tensor matrix, wherein the first tensor matrix and the second tensor matrix respectively represent a first picture and a second picture and individually include a plurality of first parameters and a plurality of second parameters; generating a plurality of third pictures according to a plurality of difference values between the first parameters of the first tensor matrix and the second parameters of the second tensor matrix; performing a similarity test on a plurality of original pictures and the plurality of third pictures; and adopting at least one of the third pictures whose similarity is lower than or equal to a similarity threshold as at least one new sample picture.

The invention relates to the field of network public opinions, and discloses a hot event discovery method, device and equipment based on a large model. The method comprises the following steps: acquiring text data, calculating Hash fingerprints and repetition times to identify potential hotspots, carrying out preliminary de-duplication, and carrying out BM25 and SimBERT similarity judgment on the potential hotspots and a historical event library to realize preliminary merging; and for inconsistent data, further calling a multi-stage large language model to carry out deep semantic understanding and event attribute judgment so as to exclude non-event information, supplementing networking information to generate a strong general title, and carrying out secondary BM25 comparison and judgment based on the supplemented title so as to finish accurate event aggregation and new event discovery. Through deep semantic understanding of a large language model and a multi-stage collaborative filtering mechanism, the limitation of a traditional method in processing complex or emerging events is effectively overcome, and the accuracy of event aggregation and the completeness of information supplementation are ensured.

The application discloses a rotor system similarity test model design method considering gravity acceleration distortion, and the method comprises the following steps: determining the similarity parameters of a substructure on a target rotor system according to a preset similarity relationship, wherein the preset similarity relationship comprises the similarity relationship of the mass of a rotating shaft, the mass of a rotating disc and the mass of a supporting structure, the similarity relationship of the polar moment of inertia of the rotating shaft and the polar moment of inertia of the rotating disc, and the substructure comprises the rotating shaft, the rotating disc and the supporting structure; calculating experimental parameters based on the similarity parameters and actual parameters of the target rotor system; and establishing a similarity test model corresponding to the target rotor system based on the experimental parameters. The rotor system is divided into three substructures of the rotating shaft, the rotating disc and the supporting structure, and it is proposed that the similarity of the substructures can guarantee the similarity of the entire rotor system, the obtained similarity test model guarantees that the inherent frequency and the vibration response are completely consistent with the target rotor system while the size is reduced, and the cost, period and risk of the similarity model experiment can be further reduced.

The invention belongs to the technical field of data set infringement authentication, and discloses a regeneration data set identification method and system based on a multi-scale similarity test. In the recognition process, identity information of a potential infringement data set is extracted through trainability features between the infringement data set and an original data set, and whether the potential infringement data set is obtained through infringement modification of a known copyright protection data set or not can be efficiently judged. According to the invention, standardization and infringement traceability can be carried out on the ever-increasing circulating artificial intelligence training data set, and industrial requirements are met. According to the multi-scale-based data set infringement detection method provided by the invention, the similarity information of the trainable invariant hidden feature level of the data set is fully utilized, and the accuracy is relatively high.

The present application relates to the multi-dimensional fusion test evaluation method and system for the deterministic heavy precipitation forecast, comprising the following: obtaining the model precipitation forecast data and the site live data of the target evaluation area as the to-be-evaluated data; inputting the to-be-evaluated data into the pre-established heavy precipitation multi-dimensional fusion test evaluation system to obtain the evaluation result; and visually displaying the evaluation result; the present application supplements the model precipitation forecast process stability evaluation method and the spatial test similarity test method suitable for the heavy precipitation characteristics on the basis of the traditional test method, and adds more test dimensions for the model precipitation forecast. The present application further constructs the multi-dimensional fusion test evaluation method, the multi-dimensional test index can be displayed through the graph, the model development and the user can intuitively understand the prediction ability of each dimension of the model; and the comprehensive test evaluation index (CEI) formed reflects the comprehensive evaluation result of the six core precipitation prediction abilities of the model.

The present application relates to a kind of automatic discovery data quality inspection rule method.The present method includes that for the data table that has been entered in the warehouse, system automatically executes rule discovery task, and forms single table rule;Management personnel according to system current standard and experience judge whether the single table rule formed in the previous step has secondary cascade relationship, if the single table rule has secondary cascade relationship, then manually confirm, then using the single table rule after confirmation to the data table for discovering the single table rule carries out quality inspection, and after quality inspection is completed, the single table rule changes into quasi rule;All quasi rules found in multiple data tables are subjected to similarity check, and the same or similar quasi rules of multiple data tables are combined to generate general rule, and the generated general rule is used for the quality inspection of all data tables.The present method can be based on the discovery of single table rule, and the combination of multi-table quality inspection rule is carried out by similarity test, so as to provide the basis for the discovered general data quality inspection rule applicable to all data tables.

The application discloses a kind of high density pool water treatment dosing quantity prediction method, in method, the water inflow of high density pool, water inflow turbidity, water inflow pH, water inflow temperature, raw water conductivity, raw water dissolved oxygen, raw water COD (chemical oxygen demand), raw water ammonia nitrogen, pre-coagulation dosing flow are collected and recorded, data are analyzed and pretreated to analyze the correlation of characteristic and target data Test and similarity test, predict via PCA_LSTM_ELM residual, and compare its error range with true value, long short memory neural network LSTM is used to predict extreme learning machine ELM residual value, use the first 50% of ELM residual value as test set, use the last 50% of ELM residual value as validation set, calculate and determine to obtain final prediction value, compare final prediction value with true value in this time interval.

The invention relates to the field of data processing, and discloses a vehicle test problem similarity matching method and a computer readable storage medium, and the vehicle test problem similarity matching method comprises the steps: obtaining a vehicle problem; determining hierarchical information of a main object of the vehicle problem in a whole vehicle system; performing term standardization processing on the vehicle problem to obtain a matched problem phenomenon; according to the hierarchical information and the problem matching phenomenon, a high-similarity test problem list is obtained from a preset test problem library, noise interference caused by vehicle problem description differences can be reduced, the matching accuracy of the vehicle problems in the test problem library is improved, and the vehicle problem matching accuracy is improved. And the main object of the vehicle problem is subjected to hierarchical division, so that the matching range is narrowed, and the efficiency and accuracy of test problem similarity matching on the vehicle problem are further improved.

The invention relates to an abnormal power quotation behavior identification method and device based on a clustering algorithm, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: carrying out a Legenna index test, a residual supply rate index test and a behavior influence test on market electricity price data to obtain a test result; screening out the target generator set which does not pass the test, and replacing the original quoted price of the target generator set with a preset reference quoted price; performing price influence test on the target generator set by using a preset scheduling model to obtain an analysis result of the electricity price persistence behavior, and processing to obtain an initial clustering result of the abnormal power quotation behavior data; and performing a similarity test on the quotation curve of each cluster generator set, and performing a retention level test on the corresponding quotation of each cluster generator set to obtain an identification result of the abnormal power quotation behavior. The method can effectively identify the abnormal power quotation behavior of the power generator.

The application provides a track static irregularity trend prediction method, system, electronic equipment and storage medium. The method comprises the following steps: performing similarity test on a plurality of acquired historical data by using a dynamic time warping algorithm, and representing the similarity test result by using a path matrix; fitting and correcting the path matrix by using a robust regression method to obtain fitting data, and repeatedly performing similarity test on the fitting data until the fitting data meets a preset condition, and then ending the fitting and correction to obtain a dynamic warping path matrix; rechecking necessary mileages in the path matrix and the dynamic warping path matrix by using a correlation coefficient method; aligning the plurality of historical data when the rechecking requirement is met; and training the aligned plurality of historical data by using a long short-term memory network model with preset hyperparameters. The application can make accurate prediction on small-scale static single data in the track irregularity degradation state within a range of several meters.

The present invention provides a method, device, and storage medium for determining turbine similarity test conditions. The method comprises: obtaining influencing parameters of the turbine similarity test conditions; screening the influencing parameters based on a number of basic quantities to obtain a set of candidate influencing parameters; processing the candidate influencing parameters in the set based on the basic quantities to obtain a turbine simulation test similarity criterion; and determining the turbine similarity test conditions based on the similarity test criterion function. This method can improve the accuracy of the estimated results of turbine component simulation tests.

Method and servers for performing a privacy-preserving distribution similarity test between first and second data being available to a first and a second client respectively. The method includes generating a target upper boundary value, a target lower boundary value, and a target step size based on first and second boundary values and step-sizes received from the first and second clients receptively, generating non-sensitive testing values, causing generation of first and second Empirical Cumulative Distribution Function (eCDF) values by the first and second client respectively based on the non-sensitive testing values and on the first and second data respectively, acquiring first encrypted eCDF values from the first client, providing encrypted statistic data to the first client, acquiring a result of a privacy-preserving distribution similarity test from the first client, and identifying the first client and the second client as suitable participants for the federated learning task.

A method for generating documentation for a segment of code, comprising executing a code in a development environment for: identifying in a file an updated code segment having a first set of lines, each similar according to at least one text similarity test to one of a second set of lines of a copy of an original code segment that is part of a source documentation object and where the first set of lines is not contiguous in the updated segment and additionally or alternatively the second set of lines is not contiguous in the original segment, by applying the at least one similarity test to at least one original line of the original segment and at least one updated line of the updated segment; and generating an updated source documentation object by modifying the copy of the code segment in the source documentation object according to the updated segment.