58 results about "Similarity test" patented technology

To enhance the distribution or backup of data similar to previously distributed or backed up data, to provide similarity testing, and other benefits, a first body of data T of size n is compressed with respect to a second body of data S of size m in-place; that is, the memory containing S is overwritten from left to right so that at no time is more than a total of MAX{m,n}+O(1) memory used.

To enhance the distribution or backup of data similar to previously distributed or backed up data, to provide similarity testing, and other benefits, a first body of data T of size n is compressed with respect to a second body of data S of size m in-place; that is, the memory containing S is overwritten from left to right so that at no time is more than a total of MAX{m,n}+O(1) memory used.

The invention provides a large mechanical equipment structure dynamic similarity test method, comprising the steps as follows: (1) a basic similarity theorem is adopted, all physical quantities are listed, geometrical quantity, density and elastic modulus are determined as basic physical quantities, and the similarity theorem is written into a dimensionless equation expressed by the basic physical quantity; (2) according to concerned basic physical principle, the similarity ratio of all physical quantities adopts similar relation expression, and the similar relation expression is modified according to a structure elastic vibration similarity equation; (3) similar model material is selected, density similarity ratio and elastic modulus similarity ratio are determined, geometrical quantity similarity ratio is determined, and the similar model design is then completed; (4) a structure dynamic test of the similar model is carried out so as to obtain the dynamic characteristic number which is substituted into the similarity relation expression so as to work out the dynamic characteristic data of the original model which is also the natural vibration frequency. The large mechanical equipment structure dynamic similarity test method realizes the conversion of ultra-large structure dynamic natural frequency with small model, effectively reduces the scales of dynamic test objects, simplifies the test instruments, and reduces the test cost.

The invention discloses a full-frame electronic image stabilization method based on feature matching, which belongs to the technical field of digital image processing and aims at eliminating influences on a video sequence by jitter such as camera translation and rotation and generating stable full-frame video output. The method comprises steps: firstly, an ORB feature descriptor is adopted to extract feature points in each frame, a two-level matching strategy with minimum and second minimum Hamming distance ratio judgment in combination with coordinate and direction angle difference test is used for matching feature points in adjacent frames; then, a motion parameter estimation method with triangle area similarity test in combination with RANSAC is used for estimating and accumulating inter-frame affine transformation parameters; and finally, an image mosaic technique is used for acquiring a motion compensation mosaic image, subjective motion parameters of the camera are estimated through Kalman filtering, a display window with the same size as the video frame is set on the mosaic image sequentially, and complete motion compensation frame output is obtained. Translation and rotation jitter in the original video sequence are effectively removed, and the stable full-frame output is obtained.

The invention relates to a fault recording data-based power system disturbance occurrence time identification method and belongs to the power system dispatching automation and power grid simulation technical field. The method includes the following steps that: a CUSUM algorithm is adopted to perform mutation data preliminary identification so as to obtain intervals in which signal mutation exists and alarm time points corresponding to each of the intervals; a waveform similarity test threshold value is set according to actual situation or experience, and similarity test is performed on waveform intervals in which continuous mutation exists, if a test result is greater than the threshold value, it can be determined that mutation of different degrees exists in two signal intervals, and identification is needed to be performed, otherwise, a latter mutation alarm signal is a false alarm signal and is deleted; and finally, a BG algorithm is adopted to perform fine identification on the intervals in which data mutation exists, and a mutation point with a most obvious mutation effect before an alarm time point is selected as a disturbance occurrence time point. The method of the invention is advantageous in simple implementation, fast calculation speed and suitability for field application.

The invention discloses an artificial intelligence-based text checking method and device. One specific implementation mode of the method comprises the following steps: respectively performing word segmentation on a first text to be checked and a second text to be checked, and determining a word vector of each segmented word to generate a first word vector sequence and a second word vector sequence; respectively inputting the first word vector sequence and the second word vector sequence into a pre-trained convolutional neural network including at least one multi-scale convolutional layer, and determining each vector sequence in multiple vector sequences output by the last multi-scale convolutional layer as a feature vector sequence, thus obtaining a feature vector sequence group corresponding to each text; combining all the feature vector sequences in each feature vector sequence group, thus generating a combined feature vector sequence; analyzing the generated combined feature vector sequence, and determining whether the first text and the second text pass through similarity test or not. The implementation mode improves the flexibility of text checking.

The invention provides a method for building rough stochastic discrete joint network models, and belongs to the field of technologies for modeling complex joint rock mass. The method includes surveying rock mass structural planes and identifying information; digitally representing spatial distribution of geometric morphology of the rick mass structural planes; statistically analyzing probability models of geometric occurrence information of the structural planes; creating stochastic rough geometric joint curves corresponding to the geometric morphology; creating model interfaces of Matlab and mechanical analysis software PFC by the aid of digital image processing technologies; physically modeling built RDFN models by the aid of 3D (three-dimensional) printers to provide the models for indoor similarity tests. The method has the advantages that representation processes and model bases can be provided for reasonable research on mechanical characteristics of joint rock mass, and scientific bases can be provided for guiding rock and soil engineering construction, support designs and the like by achievement.

The invention discloses a deep confined water mining fault water inrush multi-field precursor information evolution similarity test device and method, and relates to the field of formation temperatureand similar simulation tests. The test device comprises a test bracket, a lateral baffle plate, a loading plate, a transparent glass plate, a model storage cavity, a lateral pressure loading system,a vertical loading system, a water pressure loading system, a water temperature adjusting system, a ground temperature adjusting system, a signal acquisition and processing system and a test model. The water pressure loading system, the water temperature adjusting system and the ground temperature adjusting system of the test device can provide stable high-temperature and high-pressure water and gradient formation temperature for the test model; the real geomechanical environment of the deep confined water fault-containing coal measure strata can be well simulated; real reproduction of multi-field precursor information of deep confined water mining fault water inrush is facilitated, and the evolution rule, coupling characteristics and influence factors of multi-field precursor informationsuch as fault surrounding rock stress, displacement, cracks, seepage and temperature in the deep confined water mining fault water inrush process are inversely analyzed.

The invention discloses a three-dimensional similarity test device and test method for mining of an inclined coal seam with an adjustable confined aquifer inclination angle, and relates to the field of confined water inclined coal seam mining similarity tests. The three-dimensional similarity test device comprises a test support, an internal frame, a model storage cavity, a loading plate, a horizontal loading system, a vertical loading system, a water pressure loading system, an inclination angle adjusting system, a signal acquisition and processing system, a three-dimensional test model and acoal seam mining simulation system. The test device realizes the adjustability of the inclination angle of the confined aquifer, the gradient distribution of the water pressure load of the aquifer and the authenticity of the stress state of the inclined coal seam in the vertical direction and the horizontal direction, and realizes the segmental and step-by-step excavation simulation of the coal seam in the closed space of the three-dimensional similar model; and the test device can truly invert generation, expansion and penetration of rock stratum fractures of the mining floor of the inclinedcoal seam on the confined water to finally form a dynamic evolution process of a water guide channel, and can better carry out prediction research on water inrush of the mining floor of the inclinedcoal seam with different inclination angles on the confined water in the strike of long-wall mining.

The invention provides a similarity test-based dual-polarimetric SAR (synthetic aperture radar) image coherence speckle filtering method. According to the technical schemes of the invention, similar candidate sample pixel sets are selected, and an unbiased estimator is adopted to filter the similar candidate sample pixel sets. The selection of the similar candidate sample pixel sets includes the following steps that: neighborhoods are selected with each pixel to be filtered in a dual-polarimetric SAR image adopted as a center; similarity parameters between any pixel in each neighborhood and acorresponding pixel to be filtered are calculated; and pixels of which similarity parameters are greater than a preset threshold, in each neighborhood, are selected to form a similar candidate samplepixel set of corresponding pixels to be filtered. With the method adopted, the similar candidate sample pixel set can be adaptively and accurately selected, so the high-performance coherent speckle filtering of the dual-polarimetric SAR image can be realized.

A method, executed by a processor, for determining similarity between messages includes calculating a syndrome of each of first and second messages with respect to a linear code. A difference between the syndromes of the first and second messages is calculated, and a vector that minimizes a metric in a coset defined by the syndrome difference is identified. A compact representation of the second message that is based upon the first message is generated when a metric of the identified vector is less than or equal to a predetermined threshold. The compact representation of the second message is stored in a location of a memory device assigned for storing the second message, when the metric of the identified vector is less than or equal to the predetermined threshold.

The invention discloses an iterative learning model behavior similarity test case generation method and apparatus. The method comprises the steps of firstly constructing a system state machine diagram according to a system state model; secondly generating a new test case set according to the system state machine diagram, an existing test case set and corresponding test results of the existing test case set; thirdly executing the generated test cases and recording the test results; fourthly updating the test results into the system state machine diagram and updating the existing test case set; and finally repeating the processes until a stop condition is met. According to the method and apparatus, the quality of the test cases generated during each iteration is improved through a historical information-based heuristic rule to reduce the frequency of exploration in a test case space so as to improve the efficiency of a test process.

The invention discloses a method for determining a water storage coefficient of a coal mine underground water reservoir. The method comprises establishing a three-dimensional similarity test model fora mine to be measured, wherein the three-dimensional similarity test model comprises an upper overlying rock layer, an aquifer, an aquifuge, a groundwater reservoir rock layer and a floor rock layerfrom top to bottom, carrying out excavation treatment on a coal seam face of the three-dimensional similarity test model, carrying out water injection and discharge tests on the three-dimensional similarity test model to obtain the discharge amount of water falling each unit height in the groundwater reservoir rock layer, determining the water volume corresponding to the unit height in the groundwater reservoir rock layer, and determining a water storage coefficient corresponding to the unit height through the water volume corresponding to the unit height in the groundwater reservoir rock layer and the water discharge amount of water falling each unit height in the groundwater reservoir rock layer. The method realizes accurate and continuous monitoring of the water storage coefficient of the coal mine underground water reservoir and provides the basic theoretical data for the construction and utilization of the underground water reservoir.

The invention provides a satellite structure heat stability testing method. A satellite structure material object scaling-down model is used for replacing a satellite structure material object for performing a heat stability similarity test, and the heat stability of the satellite structure material object is obtained through a similar mathematic relation and a model testing result; the satellite structure material object is satellite parts or components. The satellite structure material object scaling-down model is used for replacing the material object for testing, the whole process of whole structure heat deformation under the circumstance can be clearly and visually shown, and therefore the problems that the period is long, consumption is large and even a test cannot be performed when the material object is used for the heat stability test are solved.

Disclosed is a modem that uses information from prior modem calls in a current modem call if the current communication line has the same characteristics as the communication line of a prior call. During modem training, a determination is made as to whether the characteristics of the current communication line is substantially similar to the characteristics of a communication line used during at least one prior call. If the characteristics are substantially similar, the stored data mode information from the prior call(s) is used to design a signal constellation for use during the current call's data mode. If the characteristics are not substantially similar, then full modem training is performed and data mode information is stored for use during subsequent calls. In addition to the communication line similarity test, line quality evaluation may also be performed in order to determine whether there has been a change in the quality of the communication line between the current call and prior call(s). If there has been no change in line quality, then a signal constellation is designed using stored minimal signal distance from one or more prior calls. If there has been a change for the better in line quality, then a signal constellation is designed having a smaller minimal signal distance than the one or more prior call's signal constellation. If there has been a change for the worse in line quality, then a signal constellation is designed having a larger minimal signal distance than the one or more prior call's signal constellation.

The invention discloses a TBM hob cutter ring rock opposite-grinding similarity test design method. The method comprises the following steps of: S1, obtaining information related to the frictional wear performance of a cutter ring; S2, acquiring parameters related to the frictional wear performance of the cutter ring during rolling rock breaking under the hob cutting depth h; S3, simplifying the cutter ring sample into a disc shape, setting a cutter ring blade contour equivalent coefficient ke and a cutter ring reduced scale proportionality coefficient ks, and obtaining the width B1 and the outer diameter R1 of the cutter ring sample; S4, determining the cutting depth h1 of the cutter ring sample, wherein if ks, mean (Fv1)<=mean(Fv) and max(Fv1)<Fvmax are met at the same time, S4 is stopped, and S5 is executed, otherwise, ks are reduced in the step S3, and the step S4 is executed repeatedly; S5, preparing a cutter ring sample and a rock sample; S6, driving the cutter ring sample to roll and cut the rock sample; and S7, recording and analyzing test phenomena and results. The method has high similarity with the actual working condition of the hob.

The invention discloses a large-scale three-dimensional face synthesis system for sample similarity suppression. The system comprises three-dimensional scanning equipment which is used for obtaining athree-dimensional face model and point cloud data thereof; the first processing module is used for preprocessing the acquired three-dimensional face model and the point cloud data thereof; the secondprocessing module is used for synthesizing the human face three-dimensional model to obtain a synthesized three-dimensional human face model; and the third processing module is used for carrying outsimilarity detection on the synthesized three-dimensional face model and the sampled three-dimensional face model set so as to output the synthesized three-dimensional face model meeting the similarity requirement. According to the system, on the basis of carrying out three-dimensional face model synthesis; the problem of data privacy required to be considered by a three-dimensional face model synthesis technology is fully considered, and the similarity between a synthesis model and a real acquired face model is suppressed by designing a similarity test model, so that an output three-dimensional face synthesis result can meet the special requirement of face data privacy.

The invention belongs to the technical field of aero-engine tests, and particularly relates to a method for determining boundary conditions of a similarity test of a rotating disc cavity. The method comprises the following steps: acquiring inlet temperature, inlet pressure, outlet pressure and physical rotating speed of a turbine disc cavity tested under the condition of an engine complete machine; giving an inlet temperature for carrying out a part test; determining dynamic viscosity coefficients of a complete machine test and a part test through a sasephland formula; determining the inlet pressure of the component test; determining the outlet pressure of the component test; determining the rotating speed of the component test; and carrying out a component test according to the inlet temperature, the inlet pressure, the outlet pressure and the rotating speed of the component test. The compressible and strong dissipation characteristics of the high-speed rotating disc cavity can be considered, and the boundary condition of a part test can be obtained through direct conversion according to test data of an engine complete machine test. Only one degree of freedom exists, so that the similarity and the test reliability are ensured.

The invention discloses a size adjustable end portion ore drawing similarity simulated test box and an application method thereof. The test box comprises a vertical rod, a long cross bar is arranged in the surface of the vertical rod, short cross bars are arranged in left and right sides of the long cross bar respectively, surfaces of the vertical rod and long cross bars are provided with threadedholes, bottom cross struts are arranged on left and right of the top center of the long cross bar respectively, a base plate is arranged in the tops of the bottom cross struts, the front and back sides of the vertical rods are provided with right-side backboards respectively, and left and right sides of the vertical rod are provided with lateral backboards respectively. Due to cooperation among the vertical rod, the long cross bars, the short cross bars, the bottom cross struts, the base plate, the right-side backboards and the lateral backboards, the size of the end portion of the test box can be adjusted conveniently, ore drawing similarity simulated test requirements under different similarity test conditions can be adapted to, the working efficiency is improved, and the problem that the size of a present text box cannot be adjusted is solved.

The invention relates to the technical field of computer aided design, and particularly relates to a method for the rapid selection of similar graphics and applied to the CAD. The method comprises the steps of 1, inputting a to-be-selected CAD drawing of similar graphics; 2, selecting a similar graphic A according to the input CAD drawing; 3, judging whether other graphics other than the similar graphic A, and non-contrast graphics exist in the input CAD drawing or not; on the condition that the above graphics still exist in the input CAD drawing, conducting the step 4; otherwise, conducting the step 8; 4, freely selecting one graphic B from the non-contrast graphics; 5, conducting the similarity test on the graphic B and the graphic A; 6, judging whether the graphic B and the graphic A pass the similarity test or not; if not, returning to the step 3; if yes, conducting the step 7; 7, selecting the graphic B; 8, ending the process. Compared with the prior art, whether two graphics are geometrically similar to each other or not can be automatically judged, so that the manual comparison and judgment is avoided. Meanwhile, all similar graphics can be quickly selected through one key, so that the CAD efficiency is greatly improved. Meanwhile, the function of distinguishing between rotation angles / not distinguishing between rotation angles can be selected, so that the selection flexibility of similar graphics is improved.

The invention relates to the field of automatic testing tools, and provides a WEB page testing method, device and equipment and a computer storage medium, the method comprises the steps of acquiring an operation script of a WEB page, wherein the operation script is used for indicating operation needing to be executed on the WEB page; executing the operation script, and obtaining a target screenshot in the execution process of the operation script; based on an image similarity algorithm, according to a preset reference image, performing a similarity test on the target screenshot, and determining a similarity test result; and outputting a test report of the WEB page according to a similarity test result corresponding to the target screenshot. The complexity of WEB page testing can be reduced, and the efficiency of WEB page testing can be improved. The invention further relates to artificial intelligence. The WEB page testing method can be applied to cloud servers of big data and artificial intelligence platform cloud computing services.

The invention discloses an automatic interface test method and device. The method comprises the following steps of: respectively importing data into a prototype system and a tested system; respectively traversing each prototype interface of the prototype system and each tested interface of the tested system and carrying out similarity test on the interfaces, wherein the prototype interfaces are in one-to-one correspondence with the tested interfaces; if the result of similarity between the tested interfaces and the prototype interfaces is greater than a preset threshold value, judging that the tested interfaces pass the test; and otherwise, judging that the tested interface do not pass the test. According to the automatic interface test method and device, the fact that whether the interfaces are consistent with the prototypes is judged through automatically checking the similarity between the prototypes and the tested interfaces, so that the interface test efficiency is improved.

The invention discloses an automatic tower type recognition method based on a laser LiDAR point cloud. The method comprises the following steps: S1, carrying out tower orientation; s2, carrying out layered extraction; s3, carrying out feature matching; and S4, carrying out similarity test. Compared with a traditional visual discrimination method, the method can reduce the manual participation degree in point cloud data processing, and provides basic data for tower feature point extraction and automatic modeling.

The invention discloses an underground test cell for multiple geotechnical tests. The underground test cell comprises an underground test cell main body excavated on the ground, a counter-force deviceI is vertically fixed in the middle of a cell bottom of the underground test cell, the counter-force device I equally divides the underground test slot into two parts; one part is a similar test areaand the other part is a uniaxial and biaxial shear area and s multi-point loading area; a uniaxial pressure supply device cell, a multiaxial pressure supply device cell and a counter-force device IIare arranged in the uniaxial and biaxial shear area and the multi-point loading area; and a jack is arranged in the uniaxial pressure supply device cell and the multiaxial pressure supply device cell.The entire underground test cell disclosed by the invention is underground cell, the ground space cannot be occupied, and the operation is relatively flexible; the cell, the jacks and the steel plateare combined to perform the geo-technical similarity test, the uniaxial and biaxial shear test and multi-point loading test, and the functionality is high.

The present invention relates to an industrial APP selection and aggregation method based on an industrial operating system, in particular to the technical field of industrial system data processing, including step S1, searching for the types and quantities of selectable industrial APPs; step S2, selecting Analyze the functions of industrial APPs; step S3, select and match industrial APPs according to the functions of various industrial APPs that can be selected to form several matching groups. Set the quantity Ci of the matching group according to the quantity A of the matching group, and set the number of APPs in the matching group according to the number Ci of the matching group; step S4, carry out a similarity test to the industrial APPs in the matching group, and the inspection module checks each APP one by one. The allocated matching group is subjected to a similarity test; step S5, the functions of the industrial APPs in the tested matching group are aggregated to form an aggregation unit. The invention effectively solves the problem of information islands between different industrial APPs.

The invention relates to a method for measuring the fill level (L) of a filling substance (1) in a container (3) with a fill level measuring device (5) operating according to the travel time principle, wherein the fill level measuring device moves towards the container ( The filling substance (1) in 3) sends a transmission signal (S) and based on the signal portion (E) of the transmission signal reflected back in the container (3) results in an echo function (A(t)), which echo function (A(t)) gives by means of a table the amplitude (A) of the signal portion (E) as a function of its travel time (t). The rows of the table correspond to discrete fill levels (L) and the columns of the table correspond to discrete travel times (t). And in the table, in this row whose row index corresponds to the relevant filling level (L), store as historical measurement point from the echo function (A(t)) obtained in the past Information on the travel time (t) of the maximum value of the echo function of the reflection on the reflector in (3). The method also delivers reliable measuring results when the measuring conditions at the point of use of the fill level measuring device ( 5 ) can vary. This is achieved by the fact that the table is continuously updated based on the current echo function (A(t)) derived during the ongoing measurement operation, wherein the current measurement point derived from the current echo function (A(t)) Stored in the row whose row index corresponds to the associated fill level determined by the fill level measuring means. A plausibility check is performed based on the historical and current measurement points, and due to the plausibility check the historical measurement points are identified as not plausible and / or the current measurement points are deleted and all remaining current measurement points are brought into the table as historical measurement points middle.

The invention belongs to the technical field of meteorological data evaluation, and particularly relates to a data quality evaluation method for a grid point meteorological actual condition. The invention provides a set of lattice point meteorological live data evaluation index system. The system comprises periodical test, tendency test, similarity test and difference analysis of data. A whole process from data acquisition, data cleaning, data evaluation index system establishment to lattice point meteorological live data evaluation is provided, and data support is provided for subsequent application of lattice point meteorological live data.

The invention discloses an iterative learning model behavior similarity test case generation method and apparatus. The method comprises the steps of firstly constructing a system state machine diagram according to a system state model; secondly generating a new test case set according to the system state machine diagram, an existing test case set and corresponding test results of the existing test case set; thirdly executing the generated test cases and recording the test results; fourthly updating the test results into the system state machine diagram and updating the existing test case set; and finally repeating the processes until a stop condition is met. According to the method and apparatus, the quality of the test cases generated during each iteration is improved through a historical information-based heuristic rule to reduce the frequency of exploration in a test case space so as to improve the efficiency of a test process.

The invention provides a method for building rough stochastic discrete joint network models, and belongs to the field of technologies for modeling complex joint rock mass. The method includes surveying rock mass structural planes and identifying information; digitally representing spatial distribution of geometric morphology of the rick mass structural planes; statistically analyzing probability models of geometric occurrence information of the structural planes; creating stochastic rough geometric joint curves corresponding to the geometric morphology; creating model interfaces of Matlab and mechanical analysis software PFC by the aid of digital image processing technologies; physically modeling built RDFN models by the aid of 3D (three-dimensional) printers to provide the models for indoor similarity tests. The method has the advantages that representation processes and model bases can be provided for reasonable research on mechanical characteristics of joint rock mass, and scientific bases can be provided for guiding rock and soil engineering construction, support designs and the like by achievement.