135 results about "Test objective" patented technology

This invention is related to an automatic self-service vision screening kiosk and method that allows individuals to screen their eyesight without assistance. The device includes subjective and / or objective tests via an interactive video and software program that measures visual acuity and contrast sensitivity. The invention is designed to provide a report with test results. The device and method may also provide a means for making referrals, scheduling appointments, ordering lenses, dispensing lenses and / or forwarding prescriptions to eye care professionals or lens manufacturers.

A method and system for determining an automobile insurance rate for a person by measuring a person's ability to perform a task or series of tasks, wherein the measurement correlates to a risk of loss. After the identity of the person seeking insurance is challenged and verified, a user interface device, such as a kiosk or the user's computer, is used to render an interactive test that measures, for example, the person's dexterity and metal concentration. The test results are collected electronically and analyzed to provide one or more scores based on the abilities of the person to finish the test objectives. The score is used to derive a driving-abilities rate factor based on actuarial methodology and statistical data. The driving-abilities rate factor can then be used in combination with other underwriting factors to determine the automobile insurance rate for that person.

The invention discloses a method for system penetration testing, comprising the following steps: S1, test target information of a system is acquired by use of a variety of public resources; S2, network information of a system test target is extracted; S3, online network host information of the system is detected; S4, all open ports of the system are scanned, and all services are enumerated through all the ports to position and analyze a loophole in the target system; and S5, the target system is penetrated by a loophole device. The invention further discloses a device for system penetration testing. By adopting the method and the device, provided by the invention, for system penetration testing, through static analysis of a source code, on one hand, potential risks can be identified, software can be detected from inside, and the safety of the code can be improved, and on the other hand, the quality of the code can be further improved, and the software security can be greatly improved.

A method and system for well test optimization provides test parameters and variation range therefor, independently from preliminarily reservoir and downhole fluid data; and repeatedly executes the test for each parameter to obtain real-time measured data, and interpreted data that is compared to the variation range for meeting a test objective. A method and system for well test design and interpretation, includes a testing manager having testing hardware / gauge metrology; a geological model; dynamic / static engineering data acquisition; and a reservoir model generator. A method and system for well test design and interpretation generates a test plan and an initial reservoir model and data from real / near-real-time, surface / downhole / manual data, aggregated data based on quality control / assurance, and optimization data based thereon and simulated downhole data; models / interprets the optimization data to meet test objectives for terminating / continuing the test plan; modifies the optimization; and / or generates reports from the modeling / interpretation when terminating the test plan.

The invention relates to a lithium-ion power battery matching method and aims at overcoming the defect that the service life of a battery pack is not up to standard due to difference between individual cells of the same battery pack. A stepwise screening method is adopted, and a charge / discharge test, an aging test, a dynamic data test and a static data test are performed on cells to be tested so that the individual cells consistent with each other in properties are screened out to complete matching; the test of each step is capable of picking out the cells to be tested inconsistent in test objectives and remaining the ells to be tested consistent in the test objectives; the battery pack matched successfully at last has the up-to-standard service life.

A software testing method based on a model includes the following steps that S1, software to be tested is analyzed, and a test object and test characteristics are determined; S2, a UML model is selected and constructed; S3, verification is performed on the UML model, and correctness of the UML model is guaranteed; S4, traversal is performed on the UML model through a depth-first search algorithm, a test case is automatically generated, a relevant coverage rate is calculated according to sufficiency criteria such as a statement coverage criterion, a judgment coverage criterion, a condition coverage criterion and a route coverage criterion, so that assessment of the test case is finished; S5, a test script is generated according to a program to be tested and the test case obtained through the UML model, the test script is automatically executed, and an actual output result obtained through execution of the test script is stored; S6, according to comparison between actual output and anticipated output of the test case, a test result is obtained, and then according to the test object and a preset stopping criterion, whether the model or the program to be tested needs to be modified or not is determined.

An embodiment of the invention discloses a method and a device for building an equipment risk recognition model. The method includes the steps: acquiring first sample data from an internet of things cloud platform; processing the first sample data, and dividing the processed first sample data into training set data and testing set data; training the equipment risk recognition model by the aid of the training set data to obtain a target equipment risk recognition model; testing the target equipment risk recognition model by the aid of the testing set data to obtain accuracy rate of the target equipment risk recognition model; judging whether the accuracy rate is higher than a preset threshold value or not; determining a fact that identification rate of the target equipment risk recognitionmodel reaches a standard if the accuracy rate is higher than the preset threshold value. Total sample data contain the first sample data and are uploaded to the internet of things cloud platform, andthe equipment risk recognition model is a pre-built equipment risk recognition model to be trained.

The present invention discloses a measuring refractive index device and a method thereof, which belongs to the field of optical detection. The device comprises a plurality of short coherent light sources with different wavelengths, a wavelength division multiplexer, an optical fiber coupler, two optical fiber collimators, a movable reflector, a reflector, a transparent slab, a wavelength-division multiplexer, a plurality of photoelectric receivers, and multistage optical fibers, and all components form a reference optical path and a measuring optical path. Through the cooperation of the reference optical path and the measuring optical path, the location of the cavity formed by the upper and lower surfaces of the tested transparent objects on the reflector and the transparent slab is measured, and with the distance between the reflector and the transparent slab, the thickness of the tested transparent object is obtained. The refractive index of the tested objective is obtained by comparing the optical path difference before and after the tested object is put in as well as the thickness of the tested transparent object. The measuring device provided by the invention is of simple structure, high measuring precision, able to conveniently measure the refractive index of planes and spherical mirrors and dispersion coefficient online with high precision.

The invention discloses a parameter testing method and device. The parameter testing method comprises confirming a testing target and a testing parameter which is corresponding to the testing target and dividing clients into a plurality of testing groups according to client identifications; configuring a parameter value of the testing parameter for every testing group and enabling the configured parameter values of testing groups to be different; testing the clients which are corresponding to the parameter value and of the testing group according to the parameter value of the testing parameter and obtaining testing effects of a plurality of testing groups; and confirming a parameter which is utilized in a testing group with the optimal effect among the testing effects of the plurality of testing groups. The parameter testing method and device has the advantages of being capable of supporting tests of a plurality of parameter values, finding out the testing group with the optimal testing effect to rapidly obtain the parameter value of the testing parameter with the optimal testing effect, saving time and achieving the target of a maximum advertising effect.

The invention discloses an SAR?target variant recognition?method based on multi-information joint dynamic sparse representation. The method comprises steps: (1) a target training?dictionary with respect to?image?domain target amplitude?information represented by the formula, a shadow?training dictionary with respect to?image?domain target shadow?information represented by the formula and a?frequency domain training dictionary with respect to?frequency domain target amplitude?information represented by the formula are built with an original SAR image of a training sample as the basis, and a multi-information training dictionary D is jointed; (2) a normalized test?target vector shown in the description, a normalized test?shadow vector shown in the description and a normalized frequency domain test?target vector shown in the description are built with an SAR image of a test sample as the basis, and a multi-information test matrix Y shown in the description is obtained after jointing; (3) according to the multi-information training dictionary D and the multi-information test matrix Y, a joint sparse formula is built and a joint sparse coefficient matrix X is solved; and (4) the test sample is restructured by using the obtained joint sparse coefficient matrix X and the final classification result is obtained according to the reconstruction error?minimization principle.

The invention discloses an OTT policy-based variable intensity combination test case priority online sorting method and belongs to the field of software testing. The method comprises the steps of adjusting an influence factor set according to a current test case sequence coverage combination condition; through an OTT policy thought, selecting a test case with a highest priority to be executed froma combination test case set each time; calculating and ranking test case priorities by using three influence factors including a local combination coverage rate, a test case failure rate and test case importance; according to test results of test cases, adjusting parameter values of the influence factors in real time, and updating a test case sequence, the test case set and a non-covered combination set of the test case sequence; and re-calculating the priorities, and repeating the process until a test goal is achieved. The method can be used for ranking the test case priorities generated bydifferent combination coverage intensities; and more defects can be effectively detected out under the condition of using the same test case quantity, so that the defect detection efficiency is improved.

Disclosed are a framework for managing an application's relationship to its run-time environment and an engine that accepts the framework as input and runs the application within the environment. Aspects of the framework and engine may be changed to suit a changing environment without changing the application itself. By managing details of the environment, the invention leaves developers free to focus on the specific tasks of the application. The framework also allows the engine to provide standardized services such as deadlock and leak detection, progress monitoring, and results logging. As an example, the application may be a software test suite. The invention allows the test suite to be run single- or multi-threaded and with individual tests within the suite running consecutively or concurrently. The invention can be parameterized to accommodate different testing goals, such as basic variation testing, regression testing, and stress testing, without changing the test suite itself.

Embodiment of the present invention provides a device and method for testing target recognition device. The device includes a test host, a display and a capture machine coupled to the test host. The display is configured to display a test image, and a target recognition device identifies the target in the test image and outputs a recognition image. The capture machine is used to capture the targetin the recognition image, and output the captured image to the test host. The test host is configured to judge whether the target recognition device is working normally based on at least the test image and the captured image. The above device and method can copy the target recognition device for a long time. Thereby, the demand for human resources can be greatly reduced, the labor cost can be saved, and the test efficiency of the target recognition device can be effectively improved. In addition, the above device and method can avoid human error that may occur due to manual testing, thus canbetter ensure the quality of the test.

The invention discloses a communication method for a testing console and testing equipment. According to all operations required by the communication method, control data and testing data are transmitted in a network division manner so as to ensure that no affect of the control data on the testing data is caused and the automation degree of network testing is improved; a management end is respectively in communication connection with a testing end and a tested end through Ethernet; the testing end is in communication connection with the tested end through a network to be tested to further ensure that no affect of the control data on the testing data is caused and the automation degree of network testing is improved. According to the communication method disclosed by the invention, command and data communication interaction between a testing server and a testing target end can be effectively realized, the functions of initialization, configuration loading, testing data control and the like of the network to be tested are finished and the automation degree of the network testing reliability is greatly improved.

The invention discloses a performance test method and device for a game engine, a storage medium and an electronic device. The method comprises the steps that an engine test pack of a to-be-tested target game engine is acquired, wherein the engine test pack comprises the target game engine and a test program used for testing the target game engine; in the process of using the target game engine to run a game application on a first terminal, hardware state data is acquired through the test program; and a performance test result of the target game engine is acquired according to the hardware state data. Through the performance test method and device, the technical problem that in the prior art, test efficiency is low because a single performance test method for the game engine is adopted is solved.

The invention, which relates to the field of hovering fore-measuring technology of the unmanned aerial vehicle, provides an aerodynamic characteristic testing stand for a ducted coaxial dual-rotor unmanned aerial vehicle, so that problems of the existing motor thrust testing technique are solved. The aerodynamic characteristic testing stand comprises an external testing platform bracket, an internal adjustment support, a ducted propeller system and a measurement display system. The external testing platform bracket and the internal adjustment support are three-dimensional frames; and the internal adjustment support is fixed inside the external testing platform bracket by flat springs. According to the invention, because straight cantilever type springs are arranged at the same direction, the minimum stiffness plane is easy to bend; with a resistance strain type transducer, displacement during testing is small; because of different flat spring installation and fixation ways, displacement at a certain direction can be restricted and the freedom degree of the sensor measuring direction can be kept; and to-be-measured information generated by the system is transmitted to the sensor and data reading and recording are carried out by a display system, so that different test objectives are achieved.

A system for testing a target integrated circuit comprises a host device that executes a debugging and testing analysis program, that transmits test instructions and data to the integrated circuit and that analyzes received data from the target integrated circuit. A first interface module communicates with the host device and formats the test instructions and data using a first format. A first serializer serializes the test instructions and data. A first deserializer on the target integrated circuit communicates with the first serializer and deserializes the test instructions and data. A control module on the target integrated circuit communicates with the first deserializer, interprets the test instructions and data using the first format. A testing module receives the interpreted test instructions and data from the control module and performs testing and debugging of the target integrated circuit.

The invention discloses a compressed sensing-before testing tracking method based on a phased array radar system. The compressed sensing-before testingtracking method based on the phased array radar system comprises the following steps: (1) using noise-driving compressed sensing algorithm to reform and characterize sparse signals of a sparse scenario, (2) separating points occupied by potential objectives from points corresponding to noise, (3) hiving off the potential objectives through a k-means clustering method, (4) and outputting tracks of the test objectives. The compressed sensing-before testingtracking method based on the phased array radar system adopts compressed sensing technology and reforms the whole radar scenario for each distance door in a series of continuous scanning. The compressed sensing-before testingtracking method based on the phased array radar system can not only track in real time in the continuous scanning, but also track in each scanning in real time on the basis of information acquired from multiple illumination intensity. The noise-driving compressed sensing algorithm can effectively reform the radar sparse scenario without changing the existing hardware system due to the optimization of transmission waveform. On the other hand, timely tracking in each scanning can acquire information based on the multiple illumination intensity, and therefore a real objective is effectively identified from false objectives and the clutters.

The invention provides a wireless network optimization testing method based on a smart phone of a common user. A network optimization automatic testing client is downloaded and installed on the smart phone and enable the client to be a network optimization testing terminal. A radio network optimization (RNO) server searches a data base according to information in network optimization testing objective areas and looks for an appropriate network optimization testing terminal which serves as an executor of the testing; then testing instruction information is sent to each of the network optimization testing terminals; the network optimization testing terminals receive and analyze the testing instruction information, and performs a testing task and reports a testing result according to a triggering condition, testing content and a testing requirement in the testing instruction information; and the RNO server analyzes and systemizes the testing results, eliminates invalid data, synthesizes each of the correct testing results and forms a final testing report. According to the method, the mobile network wireless optimization automatic testing can be achieved conveniently, and a large amount of manual labor and the time cost are saved for network optimization work.

A test execution plan generation tool is configured to receive a set of user-configured testing parameters for a software application under test can be received by. At least one testing objective for the software application can be defined by user-configurable testing parameters. A test execution plan can be automatically generated utilizing the user-configured testing parameters and a predefined test execution plan data model. The predefined test execution plan data model can include testing metadata representing software testing domain data for a software testing system being used to evaluate the software application under test. The testing metadata can specify details of finite shared resources of a test center shared by all projects under test. The generated test execution plan can detail specific allocation of the finite shared resources dedicated towards at least one phase of testing the software application to satisfy the at least one testing objective for the software application.

The invention provides an all-inorganic perovskite solar cell prepared based on continuous spin-coating, a preparation method of the solar cell and an application of the solar cell. Particularly, electron transport materials are deposited on FTO (functional test objective) or ITO (indium tin oxide) conductive glass to form a uniform mesoporous film, continuous spin-coating of precursor solution ofperovskite materials to form a perovskite layer with excellent crystallinity, and finally, back electrode materials are deposited to assemble the all-inorganic perovskite solar cell. The interface energy level structure of the electron transport materials and the perovskite layer is optimized, and the photoelectric conversion efficiency and stability of the cell are improved. Besides, the solar cell has the advantages of simple preparation method, no hole transport layer, low cost and large improvement space.

The invention relates to a high temperature characteristic test method and a device for a semiconductor device heated by current. When the circuit formed when a power supply and a to-be-tested semiconductor device are electrically connected is conducted, conduction current exists in the to-be-tested semiconductor device, loss of the semiconductor device itself can be used to heat a semiconductor chip, and the heating speed is quick; during the heating process, a TSP parameter of the semiconductor device is monitored timely, the TSP parameter is used to calculate the junction temperature of the to-be-tested semiconductor device, once the junction temperature is enough close to the test target temperature Tj-test, the high temperature characteristic test system is used to realize a high temperature characteristic test on the to-be-tested semiconductor device. The time consumed for test is little, the efficiency is high, and the method and the device are extremely suitable for test on a large number of samples; the test precision is high; and no scalding possibility exists during the operation process, and the test safety is improved.

A test circuit for a semiconductor memory apparatus of an open bit-line structure includes a compression part configured to, in response to test data read from a plurality of memory cells included in a test target cell mat and a compression control signal generated from a compression control signal generating part, compress the test data that are read from the memory cells that share a sense amplifier block and sequentially output compression test signals.

The invention provides a test processing device, comprising a test case acquisition module, a context parameter setting module and a test case execution module, wherein the test case acquisition module is used for acquiring a test case in a system; the context parameter setting module is used for setting context parameters required by a test objective component in a thread context of the test case; and the test case execution module is used for executing the test case to test the objective component. Accordingly, the invention also provides a test processing method. By the technical solution of the invention, aiming at a software system based on open service gateway initiative (OSGI), a context consistent with an actual environment is provided for execution of the test case, thus different testing results caused by various execution environments is avoided, and loose coupling between the test case and a test object is achieved. In addition, test cases can be executed in batch, thereby the testing efficiency of the software system is improved and the development quality of the software system is promoted as well.

There are provided a method and a system for automating a scene-based test. The method for automating a scene-based test that is performed by a system for automating a scene-based test, and the method includes a preparing step of preparing a scene scenario that includes at least two or more program scenes—images constituting a screen of a testing target device on which a program to be tested is executed or a set of the images—and an event object linking the program scenes, an executing step of interpreting the scene scenario in a time-series manner to execute the scene scenario, and transmitting an event signal corresponding to the event object to the testing target device linked to the system via communication when the event object is executed, and a result generating step of receiving a program execution log from the testing target device, and generating a test result.

The invention relates to an identification technique of a target in the sky, and discloses a method and a device for ascertaining an aerial target track. The method for ascertaining the aerial target track comprises setting a motion model of an aerial target, then obtaining sensing points at different moments of a dynamic aerial target based on the motion model of the aerial target, then carrying out a dependence test aiming at each sensing point in sequence, wherein aiming at a arbitrary sensing point, when the dependence test objective function of the sensing point is the minimum value, the corresponding distance of a minimum weighted value in the distances between the sensing point and each appointed track is the distance between the sensing point and the target track, then judging the arbitrary sensing point is a new target point, and at last connecting the judged new target point and the target track to make sure of a track of the aerial target. Therefore, time delay is reduced, and accuracy of a certain target track is improved.

The invention discloses a method for automatically generating a test item. The method for automatically generating the test item comprises the following steps: selecting a test item template in a template library according to a test target; scanning a tested item to obtain a service type of the tested item; using a reflecting method to obtain relevant information of the service type according to the service type; and using the test item template to generate the test item containing a test code according to the relevant information. The invention further discloses a system for automatically generating the test item. When the test item is created, the template is selected according to the test target, the service type of the tested item is obtained by the template, and the test code of the test item is created by using the reflecting method, thereby omitting the trouble of the tester to manually compile the test code, and improving the test efficiency.

The embodiment of the invention provides a field label obtaining method and device, a storage medium and an electronic device. The method comprises the steps that a training sample set is acquired, the training sample set comprises sample fields used for training an initial network model and labels, the mapping relation between the sample fields and the labels is known, and the labels are used forrepresenting the categories of the sample fields; the training sample set is input into a plurality of initial network models for training to obtain a plurality of target network models, the target network models being used for outputting corresponding labels according to the fields, and the training algorithms corresponding to the plurality of target network models being different; the pluralityof target network models are tested by using a test sample set, and the target network model with the minimum error between the output label and a preset label is determined as an application model,the test sample set comprising a test field for testing the target network model and the label; and the to-be-classified fields are input into the application model to obtain labels corresponding to the to-be-classified fields.