179results about How to "Comprehensive recognition" patented technology

The invention provides a method and a system for detecting a vulnerability. The method comprises the following steps of: hooking a function called by a machine code for code execution, acquiring the return address of the function, detecting whether the entry instruction of the function is a normal call instruction or not according to the return address, and if not, determining that a vulnerability is detected. According to the invention, the vulnerability causing a security problem, such as a Web Trojan, can be identified comprehensively and effectively, and the Internet security is improved for a user.

The invention relates to a fast triangle star atlas identification method in astronomy navigation technology field, which includes steps: 1. using star angular distance as a main identification characteristic, using relative magnitude difference of two stars as a auxiliary identification characteristic to determine star atlas identification characteristic quantity, using the star angular distance between two stars, the relative magnitude difference and star number of the two stars composing the star pair as storage basic element, hypothesizing star sensor view field diagonal distance to be d, storing all basic elements with diagonal distance less than or equal to d, constructing a navigation star database and storing the same; 2. extracting observed stars in a observation star atlas, ordering the star from light to dark according to brightness, constructing a observation triangle to be identified; 3. performing triangle identification by utilizing the method; and 4. verifying. The method realizes fast identification of star triangle in the observation star atlas, has advantages of small amount of calculation, stronger fault tolerance capability, faster identification time and navigation database with smaller capacity, and reduces storage pressure of redundant data to hardware system.

The invention discloses a network coverage problem identification method and device, and a readable storage medium, which are used for solving the technical problem that the test effectiveness and accuracy of a network coverage problem in the prior art are relatively low. The method comprises the following steps: obtaining MDT sampling data of an MDT sampling point and corresponding signaling data; determining MDT sampling points with missing longitude and latitude information, and performing position backfilling processing on the MDT sampling points with the missing longitude and latitude information according to the corresponding signaling data so as to estimate longitude and latitude information for the MDT sampling points with the missing longitude and latitude information; performingindoor and outdoor scene recognition on a terminal user according to latitude and longitude information included in the MDT sampling data to obtain a scene recognition result; and fitting and displaying the scene identification result and the network quality index information of each MDT sampling point on a rasterized electronic map to present a network coverage problem identification result.

The invention provides a tristimania diagnosis system and method based on attention and emotion information fusion. The system comprises an emotion stimulating module, an image collecting module, a data transmission module, a data pre-processing module, a data processing module, a feature extraction module and an identification feedback module, wherein the emotion stimulating module is used for setting a plurality of emotion stimulating tasks and providing the emotion stimulating tasks to a subject; the image collecting module is used for collecting eye images and face images of the subject in the emotion stimulating task performing process; the data transmission module is used for obtaining and sending the eye images and the face images; the data pre-processing module is used for pre-processing the eye images and the face images; the data processing module is used for calculating the attention point position and the pupil diameter of the subject; the feature extraction module is used for extracting attention type features and emotion type features; and the identification feedback module is used for performing tristimania diagnosis and identification on the subject. The system and the method have the advantage that the tristimania can be comprehensively, systematically and quantificationally identified by using the attention point center distance features, the attention deviation score features, the emotion zone width and the face expression features.

The invention relates to the field of intelligent teaching, in particular to a student behavior analysis and identification system for an intelligent classroom. The system comprises a coordinate and posture capture module, which obtains the position coordinates of each student and captures the facial orientation posture and hand movement posture of each student. The attention point calculation module obtains the facial orientation posture of the students and calculates the classroom attention points of the students through the facial orientation posture; Behavior recognition module obtains students' attention points and hand gestures, and recognizes students' classroom behavior through students' classroom attention points and hand gestures; Behavior comparison module, to obtain the classroom behavior of each student, and compare with the classroom behavior of its neighboring students, to judge the classroom state of each student; the result feedback module is used to feedback the students' classroom state and feedback it to the teacher in real time. The present invention solves the problem that the prior art is inaccurate in identifying and judging the classroom state of students.

In a mobile device for moving a mobile body in mutually orthogonal two- or three-axis directions, a positional error of the mobile body with respect to a direction orthogonal to preset two-axis directions out of the above two- or three-axis directions is used to determine, by using a sequential two-point method, a straightness error curve representing a change status along one-axis direction out of the above two-axis directions; the straightness error curve determining is repeated for the other one-axis direction out of the above two-axis directions.

The invention relates to a user intention identification method and system. The method comprises a key entity identification step of performing natural language processing technology analysis for userconversation texts by taking words as units to obtain named entities, which serve as user intention parameter candidates, and a user intention judgment step of performing dependency grammar analysison the user conversation texts, performing word-by-word fuzzy matching according to a preset user intention key candidate set to obtain an intention keyword, judging a dependency relationship betweenthe intention keyword and the user intention parameter candidates obtained in the key entity identification step, and outputting a user intention identification result only in the presence of the dependency relationship. According to the method and the system, a user intention can be identified more accurately and comprehensively.

The embodiment of the application provides a media data editing method. The method comprises the following steps: acquiring the physiological data of a plurality of users corresponding to time axes during acquisition of the same media data respectively; counting a time interval formed by corresponding time axes within a specified physiological data range; and editing corresponding media data according to the time interval for serving as feature media data. According to the application, essential segments which are consistent with user preference and interest in the media data can be identified accurately.

The embodiment of the invention provides a named entity recognition method. The method comprises the steps of obtaining a target text to be subjected to named entity recognition; inputting the targettext into a preset named entity recognition model to obtain a named entity recognition result of the target text, wherein the named entity recognition model is obtained by training a training sample and label information of the training sample; the named entity recognition model comprises a long short-term memory network LSTM layer; the LSTM layer is used for processing each character except the first two characters in the training sample, and the processing process of the LSTM layer comprises the step of carrying out feature extraction on a character vector of the character, an initial feature vector of a previous character of the character and a word vector of the existing word to obtain an initial feature vector of the character if a word exists in the content in front of the characterin the training sample. Compared with the prior art, when the method provided by the embodiment of the invention is applied to perform named entity recognition on the text, the accuracy of the obtained recognition result can be improved.

The invention discloses an intrinsic function recognition method based on a sub-graph isomorphism matching algorithm in decompilation, and belongs to the technical field of decompilation. According to the method, an intrinsic function template library is established, sub-graph isomorphism matching is conducted on intrinsic function templates and target assembling files generated through decompilation on the basis of a control flow diagram, and intrinsic functions which are subjected to compiler optimization and inline expansion in target programs of the target assembling files are positioned. According to the intrinsic function recognition method, inline intrinsic functions in the decomplation process can be recognized automatically, meanwhile, the templates and prototypes of the intrinsic functions are analyzed, the function names, returned values, returned value types and function parameters of the intrinsic functions are recovered, and thus the purpose of promoting the semantics of the inline intrinsic functions is achieved. More type information is provided for type analysis in decompilation through the promoted inline intrinsic functions, the complexity of data flow analysis and control flow analysis is lowered, the level of abstraction of intermediate codes is improved, and the readability of decompilation results is enhanced.

The invention discloses a method for acquiring an alternative name matched pair, comprising the following steps: acquiring contents presenting on each webpage in an internet; extracting a character string pair containing alternative name matched pair in the contents presenting on each webpage according to preset rules; truncating the character string pair containing the alternative name matched pair to acquire the alternative name matched pair. The invention also discloses a device for acquiring the alternative name matched pair. The invention can more and more roundly distinguish possibly emerging alternative name matched pairs, further effectively utilizes the distinguished alternative name matched pairs to improve the experience of users and the utilization rate of data.

The embodiment of the invention provides a highway safety hazard road section identification method and device. Historical traffic flow data, current traffic flow data and accident influence factors of a road section are acquired, the accident severity of the road section is determined according to the historical traffic flow data and the current traffic flow data of the road section, and the accident frequency of the road section is determined according to the accident influence factors of the road section; then the accident risk value of the road section is determined according to the accident severity of the road section and the accident frequency of the road section; and finally all the road sections are ordered according to the descending order of the accident risk value, and the previously ordered N road sections are determined to be the safety hazard road sections, wherein N is a positive integer. Compared with the static and fixed safety hazard road section determination method, the characteristic that the highway safety characteristics change along with the time-varying characteristics of the accident influence factors can be further reflected so that the safety hazard road sections requiring intensive monitoring in the highway network can be more comprehensively identified, and the identification precision of the safety hazard road sections can be enhanced.

The embodiment of the invention relates to the technical field of communication, and discloses an anti-fraud system and method, a server and a storage medium, and the anti-fraud system comprises a suspicious call analysis module, a network data obtaining module, a fusion analysis module and a warning service module. The suspicious call analysis module is used for identifying the call signaling corresponding to the personal account according to a first preset model and recording suspicious call data; the network data acquisition module is used for discriminating the personal internet surfing data according to a second preset model and acquiring network data for accessing a malicious website; the fusion analysis module is used for performing fraud identification on the suspicious call data and the network data according to a third preset model; and the warning service module is used for intercepting and sending out early warning after judging that the personal account is suspected to becheated. By aggregating the call data and the internet surfing data, the fraud event is more accurately and comprehensively recognized, comprehensive reminding and interception are achieved, and the fraud event prevention and control capacity of family users is effectively improved.

The embodiment of the invention provides a method and apparatus for identifying abnormal clicking of an advertising space, and relates to the field of computer technology. The method includes the steps of obtaining a clicking matrix according to the obtained clicking log data of the advertising space to be identified, inputting the clicking matrix in a prediction model to obtain the score of the clicking matrix, wherein the prediction model is used to calculate the score of the abnormity of a clicking matrix, and determining the probability that the clicking of the advertising space to be identified is abnormal according to the score of the clicking matrix. The technical problems of inaccurate result due to that the situation of the advertising space itself is not taken into consideration and inability to determine the abnormal clicking behavior can be solved. The determination accuracy is improved, the technical effect of multi-dimensional abnormal clicking behavior identification is achieved. Comprehensive determination of clicking of advertising spaces in different coordinates in a webpage is facilitated.

The invention provides a malicious software identification method and apparatus, and an electronic device. The method comprises the following steps: obtaining to-be-identified software and performingdecompilation on the to-be-identified software to obtain a to-be-processed code; splitting the to-be-processed code into multiple code gene fragments according to a location where a code for calling asystem API is located in the to-be-processed code; detecting the multiple code gene fragments by using a first random forest model to obtain a static detection result; running the to-be-identified software in a sandbox virtual environment to obtain the system API called by the to-be-identified software, detecting the system API called by the to-be-identified software by using a second random forest model, judging whether a malicious behavior exists in a dynamic operation process of the to-be-identified software, and obtaining a dynamic detection result; and judging whether the to-be-identified software is malicious software according to the static detection result and the dynamic detection result. Therefore, the identification accuracy of malicious software can be effectively improved, and malicious software can be more comprehensively identified.

The invention discloses a method and system for a walking robot to cross an obstacle and a robot. The method for the walking robot to cross the obstacle includes detecting whether a first abnormal signal exists by a first detecting device and/or whether a second abnormal signal exists by a second detecting device during the walking of the robot; when only the first detecting device detects the first abnormal signal, detecting, by the first detecting device, a suspected obstacle to acquire first suspected obstacle information, and comparing the first suspected obstacle information with a firstcrossing distance value and/or a first rough surface threshold value in order to determine the type of the suspected obstacle; when the second detecting device detects the second abnormal signal, determining the type of the suspected obstacle. Compared with the prior art, the method for the walking robot to cross the obstacle can detect more obstacle types and responds based on the types by detecting and analyzing the obstacle.

The invention provides a method for identifying high-quality shale by using logging information, and belongs to the field of oil and gas exploitation and physical geography. The method comprises: firstly performing pre-processing on logging information, including performing environment correction, depth correction, and standardization; then performing the following steps: step 1, using a natural gamma-ray logging curve to distinguish a shale bed and a non-shale bed; step 2, using the ratio of a thorium curve and a potassium curve of natural gamma-ray spectrometry log and ratio of the thorium curve and the potassium curve to distinguish sedimentary environment of the shale bed; step 3, if the sedimentary environment distinguished in the step 2 is reduction and low-energy environment, calculating contents of organic matters and clay minerals in the shale bed; step 4, and on the basis of the step 3, identifying high-quality shale beds and non-high-quality shale beds.

The invention relates to an intelligent seat, intelligent interactive system and method for controlling games based on gesture recognition. The intelligent seat comprises an intelligent hardware unit; the intelligent hardware unit comprises at least one gesture sensor for sensing gesture change of a seat and outputting corresponding acceleration values and angular velocity values according to corresponding gesture change; a control board comprising at least two buttons which is used for sending a first game control instruction to the outside; a wireless communication module for communicating wirelessly with the outside; a microprocessor module for receiving corresponding values or signals from a pressure sensor and the gesture sensor and obtaining seat gesture after processing the values and signals and outputting through the wireless communication module; a power supply module for providing electricity for the modules. According to the invention, through adding game control buttons on the seat, through converting gesture into direction control in the game, people can change different gestures in the seat for controlling games so that they can exercise during playing games.