328results about How to "Comprehensive test results" patented technology

The invention discloses a vehicle target detection method and aims to solve the technical problems that a traditional method is complicated in detection process, large in calculated quantity and inaccurate in detection. According to the method, a VOC 2007 vehicle dataset is made according to an ImageNet dataset; a training model is configured by the adoption of a caffe deep learning framework andan improved Faster R-CNN algorithm, and an Inception network structure is introduced to perform feature extraction on an image; a sliding window with the area of 642 is additionally arranged and usedfor detecting a small target; a target detection problem in a scene is converted into a target dichotomy problem, and a vehicle target is detected and recognized; an RPN loss function is used to perform optimization; and a SoftMax algorithm is utilized to classify vehicle image features, and therefore a final result is obtained. The method has the advantages that the calculated quantity of the image features is reduced, the detection process is simplified, the image feature extraction capability is enhanced, network recognition precision is improved, and the detection result is more comprehensive.

The invention relates to a detection method for software vulnerability, and belongs to the technical field of information security. The detection method comprises the following specific steps of: (1) collecting a software source code program containing known vulnerability; (2) obtaining a vulnerability code table; (3) obtaining a control flow graph CFG and an assembly code of the program to be tested; (4) determining key analysis code segments in the assembly code of the program to be tested and obtaining all paths of passing through nodes corresponding to the key analysis code segments through the control flow graph CFG of the program to be tested; and (5) for each suspicious path, an improved Fuzzing test method is used for detection to obtain the test results of the program to be tested. In the invention, when a fitness function is determined, the dependence on the source code of the tested program is eliminated, and the availability of information is kept; and the redundant information in an abstract syntax tree is eliminated and the integrity of useful information is kept, therefore, the practicality is better, and the efficiency is higher.

The invention relates to a method for forecasting rock blasting damage depth of nuclear power projects. The method comprises the following steps of performing the blasting vibration testing to determine a site vibration attenuation rule; performing the sound wave testing to primarily determine the rock damage depth; performing the finite element numerical simulation, and calculating the rock particle vibration speed and rock blasting damage depth; respectively establishing the change rules of the particle peak vibration speed (1m away from a blasting source R) along with the rock blasting damage depth under the step blasting and pre-fracturing blasting types; substituting the explosive charging quantity Q0 of an actual section into the site blasting vibration attenuation rule and the change rules of the particle peak vibration speed along with the rock blasting damage depth, so as to forecast the blasting damage depth caused by the explosive charging quantity. The method has the characteristics that one part of site sound wave testing can be replaced with the numerical simulation, the site testing frequency is reduced, the field workload is reduced, and the construction efficiency is improved; the site blasting group hole effect is comprehensively considered, the forecasting is accurate, and the operation is convenient and rapid.

The invention belongs to the technical field of Android binary file vulnerability excavation, and discloses an Android binary file vulnerability detection method and system. The method comprises the steps that the collection of code coverage rate information is achieved by using a pile pitching technology based on LLVM to be adopted as judging criteria of measuring the feed sufficiency in a genetic algorithm, and seeds are selected to perform random variation of the next generation; a testing case generation model is constructed by using an RNN network in machine learning, and testing cases obtained by training using a large number of files of a certain format are used for generating the model to automatically generate new testing cases. By means of the method, a Fuzzing test can be conducted on binary files such as Android system libraries and the like, the coverage rate of initial codes can be effectively improved by using a machine learning technology to perform training to obtain the testing case generation model to generate initial testing cases, the needed variation and execution time for searching for some routes is saved, and the efficiency of Fuzzing is improved.

The invention provides a full-automatic visual acuity examination method and an examination device for infants; a stimulus graph can be automatically displayed, and the seeing position, direction and time of eyes of the infant can be automatically recorded and calculated; and meanwhile, a test result can be obtained upon automatic analysis. The full-automatic visual acuity examination device for the infants comprises an eyeball tracking module, a control module, a display module and a visual acuity examination instrument host, wherein the eyeball tracking module and the display module are connected to the visual acuity examination instrument host; the eyeball tracking module is used for locating the seeing position of the human eyes; the display module is used for displaying a pattern for examination; and by virtue of the control module, data communication among the visual acuity examination host, the display module and the eyeball tracking module is achieved.

The invention aims at providing an automatic detection method of an oblique incidence body wave technical steel plate, which carries out comprehensive and fast detection to steel plates with the thickness of less than 75mm and accurately detects various defects, and a device thereof, and the device consists of an electromagnetic ultrasonic detection unit and a circuit system. The invention adopts the oblique incidence body wave mode to carry out detection to the steel plates, which not only is more sensitive to the detect in size, but also can detect the defects of cracks and the like, thus having more comprehensive detection result. The detection unit adopts a mode that transverse arrangement and longitudinal arrangement are combined, thus being more sensitive to the defects of the transverse and the longitudinal direction. The invention combines an ultrasonic transmission method and a reflection method, which not only has higher sensitivity to the defects, but also can position the defects precisely, thus having higher confidence level of the detection result. The invention has wider range for detecting the thickness of the wall of the steel plate, with the highest of 75mm, thus meeting the requirements for the steel plate with thick wall.

The invention discloses a software quality assurance method integrating continuous delivery and automated test, The method provides users with the function of individually customizing the software quality detection pipeline, which is composed of source code configuration, static code scanning, continuous construction, continuous deployment, functional testing, performance testing, compatibility testing and dynamic security testing. By using the software quality assurance system, Testers do not need to build a complex continuous integration and testing environment, and can quickly implement automated testing of each dimension of a project, or predefine a software quality inspection pipeline for automated testing, and provide the overall test results of the entire project, which greatly improves the test efficiency and reduces the complexity of test configuration.

The invention discloses a complex distortion generator for testing the stability of a compressor. The complex distortion generator comprises a steady-state total pressure distortion generator and a rotational flow distortion generator which are arranged in a compressor casing along the length direction, and is characterized in that the steady-state total pressure distortion generator generates different ranges of steady-state circumferential total pressure distortion through controlling distributed nozzles, and adjusts the air injection speed of the nozzles to change the steady-state total pressure distortion intensity; the rotational flow distortion generator adjusts the rotational flow distortion form through changing the angle of a rotational flow adjustment plate in a switching section of a rotational flow generator, generates three kinds of rotational flow distortion such as same-direction single vortex, opposite-direction single vortex and pair vortex, and can change the rotational flow distortion intensity through adjusting the pressure of an air pump and the openness of an electromagnetic valve. The complex distortion generator is simple in structure and convenient to operate, can generate individual steady-state total pressure distortion or rotational flow distortion at an inlet of the compressor conveniently, can also generate steady-state total pressure and rotational flow combined distortion, facilitates to carry out tests on influences imposed on the stability of the compressor by different forms of complex distortion, and is stable and reliable in operation.

The invention discloses a fault location method for vibration and noise abnormality of a GIS combined electrical appliance in a substation. A GIS combined electrical appliance, a vibration test analyzer and a noise test analyzer are arranged. The GIS combined electrical appliance includes a circuit breaker, a bus, a disconnecting switch, a voltage transformer, a current transformer, and a lightning arrester. The invention provides a method for testing the vibration and noise of the GIS combined electrical appliance in a substation, thereby realizing accurate and comprehensive test result and providing the systematic and scientific test results for the production, debugging, operation and maintenance personnel. A method for vibration and noise fault analysis and location is also put forwardby combining the test method, so that the vibration and noise faults can be analyzed according to the test results to find out coherence of the key factors causing the problems and thus the fault location is realized. The fault location method has the high innovation; the blank in the field related with the vibration and noise of the current GIS combined electrical equipment is filed; and the safe and stable operation of the 110-kV substation equipment is guaranteed effectively and the high-efficiency maintenance is realized.

The embodiment of the invention discloses a user request detection method and device, computer equipment and a storage medium. The method comprises the following steps: obtaining equipment data of a terminal sending a user request; constructing a feature set by adopting a preset score feature pair combined features extracted from the equipment data; inputting the feature set into a plurality of anomaly detection models according to the type of the feature set, obtaining a detection result for judging whether the user request is abnormal or not; and judging the detection result by adopting a preset judgment method so as to determine whether the user request is abnormal or not, and training the abnormal detection model to a convergence state by adopting a positive sample or negative sample feature set in advance, thereby carrying out security classification on the terminal through the feature set. According to the method, a feature set is constructed for text type equipment data with nominal attributes, an effective classification feature set can be mined, and the recognition accuracy is improved.

The invention discloses an automated test method and system for an intelligent router. The automated test method comprises the steps that the intelligent router downloads test resources from a server and reads and records various state parameter values in real time, wherein the test resources include a test page, a test file and a test resource description file; an automated test device is connected with the intelligent router through wifi and reads initial test strength, a test page list and a test file download list from the test resource description file of the intelligent router, wherein the test strength is the quantity of opened test threads, the test threads in the quantity corresponding to the initial test strength are opened, and all the test threads are in charge of performing circular access, and download or upload operation on all the pages in the test page list or all the files in the test file download list. The automated test method and system for the intelligent router belong to the field of the network communication technology. By means of the automated test method and system, automated test can be performed on page access speed, file download or upload speed, stability under pressure and the like of the intelligent router.

The embodiment of the invention discloses a user request detection method and device, a computer device and a storage medium, and the method comprises the following steps of obtaining a user request sent by a terminal, the user request comprising terminal equipment data; inputting the equipment data into a plurality of anomaly detection models to obtain a plurality of detection results for judgingwhether the user request is abnormal or not, the anomaly detection models being detection models which are trained to a convergence state by adopting a sample feature set in advance and are used forcarrying out security classification on the terminal through the feature set; and judging the detection result by adopting a preset judgment method so as to determine whether the user request is abnormal or not. The method is simple in judgment method, can identify the diversified abnormal scenes, and can cover more and more complex conditions along with increase of the sample size. In addition, adetection result can be obtained more comprehensively, and the accuracy of anomaly detection is improved.

The invention relates to a green tea quality analysis apparatus based on an intelligent electronic nose system, and a method. In the prior art, detection on volatile gases in beverage samples is performed through human body organs, such that technical problems of subjective difference and harm on human body exist. A purpose of the invention is to solve the technical problems in the prior art. The apparatus comprises a gas collection unit, a gas sampling unit, a treatment unit and a control unit, wherein the gas collection unit comprises a gas chamber, a sample chamber, a first communication pipe and a second communication pipe, the gas chamber, the sample chamber, the first communication pipe and the second communication pipe form a loop-shaped circulation path, the gas sampling unit is connected with the gas chamber, the treatment unit and the gas sampling unit are connected, and a gas inlet mechanism, a gas outlet electromagnetic valve and the gas sampling unit are respectively connected with the control unit. According to the present invention, the electronic nose system is built, such that the detection result is comprehensive and objective, and hazard of sample gas on human health is avoided; and gas is subjected to circulation flow during gas sampling, such that gas mixing is uniform, and detection data is accurate.

The invention discloses a lithography detection graph and a lithography layout, wherein the detection graph comprises at least three sets of strip groups, the strip width and the distribution cycle inside each strip group are the same, the strip distribution cycles among the strip groups are different from one another; the layout with a plurality of detection graphs can realize the monitoring on the graphs of a plurality of sorts of concentration and improves the problem that the wafers are discarded or the finished product rate of the device is low because the prior detection graphs cannot detect the lithography effect completely.

The embodiment of the invention discloses an automatic driving simulation test method and device for a scene library, and the method comprises the steps: determining a traffic test scene based on a target scene template and a modification instruction corresponding to the target scene template, and enabling the modification instruction to be an instruction for modifying a scene element corresponding to the target scene template; triggering a test process corresponding to a preset test event if it is detected that the position relationship with the tested vehicle exists in the scene objects of the traffic test scene and the scene object of the test triggering condition corresponding to the preset test event is reached; and monitoring the behavior state of the tested vehicle in the test process corresponding to the preset test event, and obtaining a behavior state parameter corresponding to the behavior state of the tested vehicle so as to determine the test result of the tested algorithmof the tested vehicle through the behavior state parameter. Therefore, the performance of the automatic driving vehicle when the preset test event occurs can be tested in a simulation mode, the costis reduced, the actual loss is avoided, and the method has guiding significance for actual driving.

The invention discloses a bearing vibration measurement machine. The bearing vibration measurement machine comprises a rack, a raceway, a vibration measurement rod, a material placing frame and an automatic feeding mechanism, wherein the rack is provided with a worktable; the raceway is adapted to a bearing when the bearing is upright; the material placing frame is used for placing materials; a rotating body is arranged in the material placing frame and is provided with an interlayer used for placing the bearing; the vibration measurement rod faces the interlayer of the rotating body; a slidable sliding table is arranged on the worktable; the material placing frame and the vibration measurement rod are arranged on the sliding table; a vertical rotating motor is fixedly arranged below the sliding table; the output shaft of the rotating motor is connected with the material placing frame; a fixed table is arranged on the worktable; a rotary motor is arranged on the worktable; a friction disk is arranged on the output shaft of the rotary motor; the friction disk is positioned in front of the rotating body and faces the rotating body; the sliding table is connected with the fixed table through a tension spring; and the automatic feeding mechanism is positioned on one side of the head of the raceway. By using the bearing vibration measurement machine, the materials are conveyed by vibrating; the work efficiency is improved; the labor is saved; and the bearing can rotate at 180 degrees, so that enough test points are provided, and the test results are more abundant.

The invention discloses a differential privacy disclosure detection method and system for a to-be-published text of a social network. According to the method, various possible privacy disclosure waysare comprehensively and deeply analyzed; A current to-be-published text of a user is comprehensively considered. A multi-dimensional feature-based privacy disclosure detection convolutional neural network model is established based on the privacy disclosure detection convolutional neural network model, the aggregation effect of privacy information is fully considered, and omnibearing privacy disclosure detection is carried out according to the aggregation effect, so that the detection result is faster, more comprehensive and more accurate. According to the privacy disclosure degree obtained through two times of detection, difference is carried out to obtain the current text privacy disclosure condition. According to the privacy disclosure detection method and device, whether the privacy disclosure prompt is carried out or not is determined, the limitation that a traditional method needs to consider the privacy category is avoided, the complexity that text content is classified first and then privacy disclosure detection is carried out according to features extracted according to the category to which the content belongs in the traditional method is also avoided, and the privacy disclosure detection efficiency is improved.

The invention relates to the technical field of hyper-fusion, in particular to a version upgrading test method and device. The method comprises the steps of receiving an instruction which is sent by atest terminal and carries a target upgrading strategy item, installing a system installation file of a target version based on the target upgrading strategy item, and completing the system installation of the target version, wherein the test terminal stores system installation files of a plurality of historical versions; and the upgrading strategy configuration file comprises an upgrading strategy item corresponding to each historical version; receiving a test cluster initialization instruction, completing cluster initialization, receiving a service deployment configuration file sent by the test terminal, and performing service deployment based on the service deployment configuration file; receiving an upgrade instruction sent by the test terminal, obtaining a corresponding upgrade package based on the upgrade instruction, performing version upgrade processing based on the upgrade package, and recording an upgrade test result; and when it is determined that the test operation is executed for each upgrading strategy item, determining that the test is completed, and generating a corresponding upgrading test result.