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134 results about "Test objective" patented technology

An objective test is a type of psychological testing that gauges the test taker's conscious thoughts and feelings without regard to the test administrator's beliefs or biases. The conclusions drawn from an objective test are generally considered more accurate than other types of psychological tests; projective tests,...

Measuring refractive index device and method thereof

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.
Owner:LIAONING CROWNTECH PHOTONICS

SAR?target variant recognition?method based on multi-information joint dynamic sparse representation

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.
Owner:XIDIAN UNIV

Aerodynamic characteristic testing stand for ducted coaxial dual-rotor unmanned aerial vehicle

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.
Owner:CHANGGUANG SATELLITE TECH CO LTD

Compressed sensing-before testingtracking method based on phased array radar system

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.
Owner:XI AN JIAOTONG UNIV

Wireless network optimization testing method based on smart phone of common user

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.
Owner:SHANGHAI QIDIAN INFORMATION TECH

Field label obtaining method and device, storage medium and electronic device

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.
Owner:BEIJING MININGLAMP SOFTWARE SYST CO LTD
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