154 results about "Correlation test" patented technology

A digital image processing method for determining an orientation of a face in a digital color image generates a mean grid pattern element image from a plurality of sample face images and an integral image from the digital color image. A face is located in the color digital image by using the integral image to perform a correlation test between the mean grid pattern element image and the digital color image at a plurality of effective resolutions by reducing the digital color image to a plurality of grid pattern element images at different effective resolutions and correlating the mean grid pattern element image with the plurality of grid pattern element images, whereby either the mean grid pattern element image or the grid pattern element images are provided at a plurality of different orientations. Accordingly, an orientation of the face in the color digital image is determined by using the images with different orientations in the correlation test.

A software and hardware system and an associated methodology provides ATE-independent go / no-go testing as well as advanced failure diagnosis of integrated circuits for silicon debug, process characterization, production (volume) testing, and system diagnosis comprises an embedded test architecture designed within an integrated circuit; means for seamlessly transferring information between the integrated circuit and its external environment; and an external environment that effectuates the seamless transfer for the user to perform relevant test and diagnosis.

A method and apparatus mitigating the effects of cross-correlation signals on received satellite signals in a Global Positioning System (GPS) receiver is described. MS-Assisted and MS-Based cross-correlation detection and mitigation methods and apparatus are described. A GPS search mode architecture is used to detect SV signals and identify potential cross-correlations. The GPS search modes have different coherent integration lengths and different degrees of sensitivity. After detection, measurements are logged into a database for further processing. Several cross-correlation tests are described. For example, a “Mainlobe” cross-correlation test is described that identifies the most significant cross-correlations that occur when the Doppler difference between the interfering SV signal and the target SV signal is nonzero and a multiple of 1 kHz. Appropriate C / No and Doppler thresholds, or masks, are selected and used to identify the mainlobe cross-correlations. A wide Doppler mask is used to account for the effects on cross-correlations caused by BPSK data bit modulation. Appropriate MS-Assisted and MS-Based cross-correlation masks are described. Other cross-correlation tests include “variable C / No”, “strong”, “wide Doppler” and “pre-emptive” cross-correlation detection tests.

The invention discloses camera detecting equipment, which comprises a base, a support, a test graph fixing frame and a camera fixing bracket, wherein the support is arranged on the base and can move on the base along the Y-axis direction; the test graph fixing frame is used for fixing a test graph, arranged on the support and can move on the support in the Z-axis direction; the camera fixing bracket is arranged on the base; and a camera to be detected is arranged on the camera fixing bracket, so that the camera is opposite to the test graph arranged on the test graph fixing frame. The invention also discloses a camera detecting system. The equipment provided by the invention can be fixed on a worktable, and related test parts can be adjusted along a screw rod and are stable so as to assist a computer to detect and calculate the central offset and rotation angle of an image shot by the camera and meet the higher level requirement on the quality of the shot image.

The invention relates to an anti-interference signal detection and synchronization method for an OFDM system based on cross-correlation detection of a local sequence. A peak value of a cross-correlation value of a received signal and the local sequence is used as a judgment basis for signal detection and system synchronization, compared with delay self-correlation of the received signal, the influence of a signal-to-noise ratio and an interference signal on the cross-correlation value of the received signal and the local sequence is smaller, so that an algorithm can adapt to signal changes, aproblem of frame loss caused by a self-correlation scheme of the received signal can be effectively relieved, and furthermore, the method also has good capability of resisting noise and interference,the phenomenon that a large amount of synchronization errors are generated under the condition that interference and noise exist can be avoided, the robustness is good, and the relevant performance isverified in an actual system.

The subject matter described herein includes methods, systems, and computer readable media for automated generation of test files and for related testing. According to one method, the method includes receiving a configuration file, where the configuration file indicates a test case or a test plan to be generated, wherein the configuration file includes a feature identifier or a bug identifier and information about a system under test (SUT). The method also includes generating at least one test file based on the configuration file, wherein the at least one test file is for testing a feature or a bug in the SUT associated with the feature identifier or the bug identifier in the configuration file. The method further includes generating at least one directory based on the configuration file and storing the at least one test file in the at least one directory. The method also includes testing the feature or bug in the SUT using the at least one test file.

The invention relates to a cluster-type automatic test method and belongs to the technical field of storage. A console is used for automatically configuring the password-free login between a client and a storage device, distributing a test configuration file and a parameter file and automatically completing the configuration work for the storage device and the node; the automatic configuration time is synchronous; a control terminal is used for automatically detecting the current test environment; when the environment does not meet a test condition, the control terminal can prompt the corresponding information; a tester can update the environment according to the information; when the environment meets the test condition, the console can automatically distribute and use the test file for testing the storage device and can monitor the system load, service and process in real time; after the test is normally completed, the console can collect all the related test data of the clients and the storage device and can analyze. Compared with the prior art, the cluster-type automatic test method has the advantages that a large amount of labor cost is saved, the time for configuring the test environment is shortened, so that the test efficiency is greatly increased, and the repeated configuration work and the test process are automatic so that the accuracy of the configuration and the test result is increased.

The invention discloses a method for evaluating the behavior safety of an automatic driving vehicle, which comprises the steps of obtaining environment perception parameters, network connection parameters, judgment decision parameters, control execution parameters and a network connection degree coefficient of the automatic driving vehicle; obtaining an evaluation score of the behavior safety of the automatic driving vehicle according to the environment perception parameters, the network connection parameters, the judgment decision parameters, the control execution parameters and the network connection degree coefficient; and obtaining an evaluation result of the behavior safety of the automatic driving vehicle according to the evaluation score of the behavior safety of the automatic driving vehicle. The method for evaluating the behavior safety of the automatic driving vehicle can comprehensively consider the behavior safety of the automatic driving vehicle from multiple angles, and enables the evaluation result to be accurate and reliable, thereby providing a feasible method for testing and evaluating the behavior safety of the automatic driving vehicle, enabling related test standards to be perfect, and promoting the development of the automatic driving vehicle industry in China.

The invention discloses an intelligent substation message simulation testing and association message analysis system and method. The system comprises an SCD (Security Coding Device) file analysis module, a configuration reading module, a template and case management module, an intelligent device interface simulation module, a message recording module and a user interface module, wherein the SCD file analysis module is used for analyzing the configuration descriptive SCD files of a substation; the configuration reading module is used for extracting basic information required by cases of relevant tests; the template and case management module is used for collecting and managing test cases and standard response templates aiming at the test cases; the intelligent device interface simulation module simulates and sends relevant messages accordant with the IEC61850 standard; the message recording module is used for capturing or responding to the sent messages and generated events and alarming; and the user interface module is used for collecting the test cases and the templates and displaying analysis results. According to the invention, artificial intelligence is introduced in rapid analysis on results through a template method, the message simulation capability of the system is used for flexibly designing test cases, intelligently recognizing and realizing test conditions, thus greatly improving the test and analysis efficiency and accuracy.

The invention relates to a regression testing case priority ranking technology based on needs. The technology comprises the steps that all the testing needs and testing cases of software are obtained and subjected to state initialization; the corresponding relation between the testing needs and the testing cases and the dependency relation among the testing needs are set up; the primary and secondary relations of need factors are ranked; priority values of the need factors of all the testing needs are obtained; the priority values of all the testing needs are calculated; one testing need is selected; one testing case is selected from all the testing cases corresponding to the selected testing need according to the rule and executed; the selected testing need and the state of the selected testing cases are modified; the related testing case state is modified according to the testing case execution result; the specific testing needs and the state of the testing cases are reset according to the rule; whether ranking of all the testing cases is finished is judged. The technology has flexible pertinence, the higher need coverage rate can be achieved as fast as possible, and centralized testing of the testing needs is avoided.

The invention relates to a finite element model correction method based on sensitivity analysis. According to the method, solid modeling is performed on an assembly in three-dimensional software, a modal test is performed on an assembly model through a modal test system, an assembly finite element simulation model is established by the adoption of pre-processing software and post-processing software, modal analysis solving is performed through finite element analysis software, correlation checking is performed on a modal test result and a modal simulation analysis result through LMS.VirtualLabsimulation analysis software, modal sensitivity analysis is performed, parametric variables sensitive to modal frequency are found out, and finite element model fundamental frequency is matched withmodal test fundamental frequency through optimization iteration. Compared with a physical test, the simulation analysis technology has many advantages such as low cost and a short cycle; and within asimulation result error allowed range, the simulation analysis result can serve as a reference basis for vibration characteristic analysis, so that the method has important reference value for relevant test work.

The invention discloses a cloud testing framework oriented to protocol conformance of a heterogeneous wireless sensor network. The cloud testing framework comprises a cloud testing platform, testing agents and a system under test, wherein the cloud testing platform is responsible for control and management of testing execution and testing process; the testing agents are a communication bridge between the system under test and the cloud testing platform, after receiving a command of the cloud testing platform, the corresponding testing agent forwards the command to a device in a network of the corresponding system under test, and further allocates a role for the testing device to form a corresponding testing network; wherein the cloud testing platform mainly comprises an IaaS (Infrastructure as a Service), a PaaS (platform as a service) and a SaaS (Software as a Service); a testing user accesses the cloud testing platform via the Internet through a Web interface provided by the SaaS, after the testing user submits testing requirements and related testing configurations, the testing platform allocates testing resources according to the testing requirements, related virtual servers perform test, moreover, the testing process is monitored through the SaaS, and finally, a complete test report is obtained.

The invention discloses a networked radar system deceptive jamming resisting method. The method comprises the following steps of (1) for n node radars, obtaining distance units corresponding to P point targets according to detection, and obtaining the slow time random complex envelope sequence Aipi of each point target; (2) estimating the correlation coefficient between the slow time random complex envelope sequence Aipi of the pith the point target detected by the ith node radar and the slow time random complex envelope sequence Ajpj of the pjth target detected by the jth node radar; (3) setting the real part of the correlation coefficient as correlation measure mupi,pj according to the correlation coefficient rhopi,pj; (4) estimating the target noise ratio (TNR) corresponding to the slow time random complex envelope sequence Aipi and the Ajpj, obtaining a correlation measure mupi,pj, and selecting a check threshold sigmapi,pj according to the expectation value phipi,pj of the check threshold sigmapi,pj; (5) carrying out an active false target correlation test on any two point targets according to the check threshold sigmapi,pj; (6) testing each target in the ith node radar and the jth node radar in a traversal mode, removing active false targets, and thereby achieving the purpose of deceptive jamming resistance.

The invention discloses an intelligent substation message simulation test and association analysis system, and a simulation method. The intelligent substation message simulation test and association analysis system comprises a hardware-in-the-loop simulation system, an information record simulation and analysis system, a SCD (substation configuration description) file parsing module parsing a SCD file, a configuration reading module extracting basic configuration information needed by a related test use case, a template and use case management module for collecting and managing test use cases and standard response templates for the test use cases, and an intelligent device interface simulation module for sending a related message meeting IEC 61850 specifications in a simulation mode. An intelligent test result analysis method based on message response templates is adopted to introduce artificial intelligence to quick result analysis, the message simulation ability of the system is used, a test case is flexibly designed, intelligent organization is carried out, test conditions are realized, and test and analysis efficiency and accuracy are greatly improved.

The invention discloses a method for generating component testing use cases based on a model, and belongs to the technical field of software testing, wherein the method is suitable for generating component units and regression testing use cases based on the design model. The method mainly includes the steps of firstly, describing component function logic and data objects based on the XML; secondly, setting up a mapping table of the data objects from the platform irrelative form to the platform related form; thirdly, completing the process of automatically converting the platform irrelative testing use cases to the platform related testing use cases and generating the use cases based on the mapping table. Compared with the prior art, the method has the advantages that the use cases are generated based on the design model and mapping of the data objects, the capacity for tracking and backtracking the process of generating the use cases as required during software testing is improved, the automation degree in the testing use case generation process is increased, the capacity and efficiency of flexibly responding to the software frequently-changing requirement during software testing are improved, and the method has good application and popularization value.

A method for predicting emissions from an emissions source. Test values of process variables relating to operation of the emissions source are gathered, along with corresponding time-correlated test values of the emissions variable to be predicted. Using the test values of the process variables, test values of a plurality of first coefficients are calculated for each process variable and associated with the process variable, and test values of a plurality of second coefficients are calculated for each value of each process variable and associated with the value of the process variable. Comparison values of the process variables relating to operation of the emissions source are gathered, along with corresponding time-correlated comparison values of the emissions variable to be predicted. Using the comparison values of the process variables, comparison values of a plurality of first coefficients are calculated for each process variable and associated with the process variable, and comparison values of a plurality of second coefficients are calculated for each value of each process variable and associated with the value of the process variable. Predetermined combinations of the comparison values of the variables and their associated coefficients are then iteratively compared with the test values of the respective variables and associated coefficients. Where the comparison yields matches between the comparison values and test values of the variables and their associated coefficients, the test values of the emissions variable associated with the matched test values of the variables are averaged and assigned as a predicted value of the emissions variable.

The invention discloses an intelligent electric car testing bench used for environment sensing configuration and testing. The intelligent electric car testing bench comprises a frame body, three-axis moving assemblies, three-axis rotating assemblies, environment sensors, a middle sensing support, three-dimensional calibration assemblies and two-dimensional calibration assemblies, wherein the plurality of three-axis moving assemblies are arranged on the frame body, the middle sensing support is arranged on the middle part of the frame body, the middle sensing support is also provided with a plurality of three-axis moving assemblies, the three-axis rotating assemblies are arranged on the three-axis moving assemblies, the environment sensors are arranged on the three-axis rotating assemblies, and the three-dimensional calibration assemblies and the two-dimensional calibration assemblies are corresponding to the environment sensors. The intelligent electric car testing bench has the advantages that on-loop design of calibration and configuration schemes and related testing of vehicle environment sensors can be realized on expected vehicle types; data of the environment sensors under different calibration or configuration schemes is stored, and the calibration content under a plurality of conditions are further completed; in addition, the cost is lowered, the efficiency is improved, the materials corresponding to parts are reasonably selected, and the service lifetime is long.

The invention discloses a method for accurately measuring the cable force of a short boom of a boom arch bridge. A relevant measuring model is designed, boundary conditions of the boom are simplified into damping and spring supporting of a simple support boom in a corresponding transverse position, the boom is further equivalent into a simple support stretching rope with the equivalent calculation length, a mass block is additionally arranged in the middle of the boom, a vibration balance equation of ropes is set up before and after the mass block is additionally arranged in the middle of the boom, an algorithm of recognizing the equivalent calculation length L0 of the boom by using measured frequencies of the boom before and after the additional mass block is arranged is finally and optimally formed, and therefore the method for accurately measuring the cable force is set up. According to the method for accurately measuring the cable force, measurement is convenient to conduct, and a user only needs to conduct vibration frequency measurement twice on the boom before and after the additional mass block is arranged. The measuring accuracy is high, and the difficult problem of accurately measuring the cable force of the short boom can be well solved. When the method is applied to the field of detection or construction monitoring of boom arch bridges, the cable force of the short boom can be rapidly and conveniently measured at high accuracy, and therefore reliable essential data are provided for detection and monitoring of the boom arch bridges.

The invention discloses a traffic simulation model calibration method considering traffic conflict index distribution problems. According to the method, an efficiency index and a safety index are considered at the same time, an appropriate intersection efficiency index is selected to serve as a constraint condition of a first-round calculation target and a second-round calculation target of traffic simulation modeling, and an appropriate intersection safety index is selected to serve as the second-round calculation target of traffic simulation modeling; by calculating a standard difference ofsimulation indexes and selecting an appropriate confidence interval to estimate the minimum number of times of simulation needed for an established simulation model, the number of simulation tests ofparameter correction is effectively reduced; an ANOVA test or a correlation test are used to screen out simulation parameters with remarkable influences on the efficiency index and the safety index; amulti-constraint calibration optimization problem is established, and a specific strategy and a process for calibrating model parameters by use of a genetic algorithm are proposed; a fitness parameter selection scheme is proposed; a model constraint condition selection scheme is proposed; and model calculation is performed through traffic conflict parameter distribution.

The present invention proposes an information interaction testing device and method based on the associated testing case automatic generation. The associated testing case generation module in said device may automatically generate the associated testing case files corresponding to all associated information interactions which can be triggered by said reference information interaction based on the reference information interaction and the predefined rules determined by the application type provided by the system under test. The information interaction testing device and method based on the associated testing case automatic generation disclosed in the present invention have the higher testing speed and the higher testing usability as well as are low-cost.

A software testing system and method provides full reuse of software tests and associated test data in a centralized shared repository, including enabling the full reuse of test assets including test actions, test scenarios, test data; and automation scripts. Reusable test components consisting of test steps and the type of test data needed by those test steps, are managed and maintained. These components are assembled into reusable components with no binding of test data until execution time, thereby treating the test data as a reusable asset. A reusable test is initially defined using only an indication of a type or category of data, and not bound to the actual data itself, until it is assembled into an executable immediately prior to automated or manual test execution.

The invention relates to a method and a system for testing network data traffic. The system comprises a switching module, an acquiring module, an analyzing module, a statistic module, a displaying module and a judging module, wherein the switching module is used for controlling a multiplexing electronic switch to connect a plurality of network card ports to a BMC (Baseboard Management Controller) sequentially; the acquiring module is used for acquiring a network data packet flowing through the currently-connected network card port; the analyzing module is used for analyzing the acquired network data packet so as to obtain an application layer data packet; the statistic module is used for calculating the network data traffic flowing through the currently-connected network card port in a pre-set testing time; the displaying module is used for displaying the calculated network data traffic and related test data on a server; and the judging module is used for judging whether all the plurality of network card ports are tested. According to the system, the multiplexing electronic switch switches the respective connections of the plurality of network card ports and the BMC, and the respective network data traffic flowing through the network data ports can be calculated, so that the waste of manpower and material resources caused by calculation of the network traffic by a router in a multi-network-card-port environment in the prior art is prevented.

By performing a contingency-based correlation test of measurement data, such as defect data, with respect to electrical test data after progressively filtering the measurement data, an enhanced analysis of process flow characteristics may be accomplished. Consequently, an efficient yield loss estimation may be performed.

The invention discloses a CScripts-based method for adjusting PCIe Tx Eq at the CPU end of a Purley platform. The PCIe Tx Eq at the CPU end of the Purley platform is changed through CScripts, and Eq parameter confirmation is carried out after the changing is completed. If the PCIe chain path is reduced to Gen1 after the changing is completed, a corresponding chain path is subjected to retraining back to Gen3 through a PCIe Port method corresponding to re-enable, and then the condition whether Eq parameter modification is effective or not is confirmed again. According to the method, after Tx Eq parameter is modified, relevant testing can be carried out instantly, and the system does not need to be restarted, so that the testing time can be greatly shortened.

The invention provides a gyroscope fault diagnosis method based on K-S (Kolmogorov-Smirnov) distribution check and HHT (Hilbert-Huang Transform), relates to a fault diagnosis method of a gyroscope, and mainly solves the problems of an existing gyroscope fault diagnosis method that a virtual frequency component is generated and the fault diagnosis precision is low. The gyroscope fault diagnosis method comprises the following steps: step 1: decomposing an original gyroscopic angle speed output signal Xp by adopting an EMD (Empirical Mode Decomposition) method to obtain IMF (Intrinsic Mode Function) components of different frequency bands; step 2: carrying out a correlation test on the IMF components of the different frequency bands in the step 1 by using a K-S distribution check method and judging that whether the IMF components of the different frequency bands are effective components of the original gyroscopic angle speed output signal or not; and step 3: carrying out the HHF on the IMF components checked by the K-S method in the step 2 to further obtain time-frequency spectrums and marginal spectrums of the IMF components, and combining with energy and frequency change of signals on the time-frequency spectrums and signal frequency distribution on the marginal spectrums to judge whether the system has faults in an operation process or not. The gyroscope fault diagnosis method is applied to the field of signal processing.

The invention discloses a method for quickly judging the test results of an SOC chip, which is realized by adding a DFT circuit in the original design of the chip. The method uses the memory unit of the chip itself to store the test information of the chip. After the chip is packaged, the test information needs to be read , follow the steps below: (1) power on the chip; (2) input the mode signal, enter the test information code operation mode, and select the storage unit for storing the test information; (3) input the clock signal; (4) input the test Vector, read test information; (5) output pulse. The method is convenient and fast, can not only improve the efficiency of chip analysis and testing, but also reduce the cost of analysis and testing. When using this method to read the test information of the chip, as long as the corresponding test vector is printed on the pin of the chip under test, the I / O port of the chip will output the pulse signal corresponding to the test information. The relevant test information can be judged conveniently.

A novel array fault testing for a TCAM system that includes a plurality of TCAM blocks that is organized into at least one rectangular array having rows each having a plurality of TCAM blocks, a group of TCAM cells and associated read / write bit lines connecting the group of TCAM cells to write driver and decoding block. The data decode bypass circuit of the TCAM cell provides a raw write feature to detect faults in a full suite of memory related tests. The debug input of the data debug bypass circuit of the TCAM cell when asserted in the test mode enables the TCAM cell to write raw, unencoded data into the array, and when deasserted in the test mode, enables the testing of the TCAM array. The resulting TCAM cell provides exhaustive fault testing thereby detecting and eliminating faults in TCAM.

The invention relates to a high-efficiency and high-precision testing method for third-order intermodulation of a repeater based on a vector network, which comprises the steps of (1) performing calibration parameter setting for the vector network, and completing measurement channel calibration in a mode of Swept IMD Converters; (2) connecting a radio frequency testing cable, and building a complete satellite-ground testing circuit; and (3) setting relevant testing parameters in the built calibration environment, turning on double-tone radio frequency excitation power, testing third-order intermodulation characteristics of the repeater, and drawing a test result curve. The method provided by the invention can significantly improve the test convenience, the test efficiency, the test precision and the test automation degree of dual-carrier third-order intermodulation of a communication satellite repeater system, and can greatly reduce the test cost particularly for a large-scale multichannel repeater.

The invention relates to the technical field of atmospheric environment monitoring, in particular to a PM2.5 concentration prediction and early warning method, which comprises the following steps of obtaining a plurality of cause characteristics of a plurality of cities and a historical data set of PM2.5 concentration; carrying out influence degree analysis and correlation test on each cause characteristic; screening a plurality of related cause features from the plurality of cause features; training and testing the plurality of classification models according to the plurality of related causecharacteristics and the historical data of the PM2.5 concentration, and screening out a target classification model with optimal performance; predicting the PM2.5 concentration of the target place according to the historical data of the target place and the target classification model, and giving an early warning if the PM2.5 concentration reaches a threshold value. Through influence degree analysis and correlation inspection, irrelevant reason characteristics are eliminated, and the classification model with the optimal performance is screened out from various classification models for prediction, so that the prediction accuracy and efficiency are improved, and a scientific and reliable reference is provided for prevention and control work of atmospheric pollution.

By performing a contingency-based correlation test of measurement data, such as defect data, with respect to electrical test data after progressively filtering the measurement data, an enhanced analysis of process flow characteristics may be accomplished. Consequently, an efficient yield loss estimation may be performed.