983results about How to "The analysis result is accurate" patented technology

The invention provides a method for preparing neodymium iron boron through regenerating a waste material containing neodymium, iron and boron. The method comprises steps of (1) preprocessing the waste material; (2) correcting the components of the waste material; (3) crushing by hydrogen; (4) preparing into powder; (5) molding under a magnetic field; and (6) vacuum sintering. The method fully uses the waste material recycled in a production process, has high recovery rate of the waste material, can produce high performance product, has a simple and controllable flow, has high operability, uses no strong acid and strong base polluting the environment, is environment-friendly and energy-saving, and has high social and economic benefits.

An embodiment of the present invention provides a method for performing a lateral flow assay. The method includes depositing a sample on a test strip at an application region, detecting a first detection signal arising from the test strip in the first detection zone, and generating a baseline for the first measurement zone by interpolating between values of the detection signal outside of the first measurement zone and inside of the first detection zone. The method may include locating a beginning boundary and an ending boundary for the first measurement zone on the test strip. Additional detection zones having measurement zones may also be incorporated with the embodiment.

The invention discloses a method and system for processing traffic information. The method comprises the steps of: a. collecting mobile phone signaling from a base station, b. confirming the real road corresponding to the moving path of a mobile phone according to the mobile phone signaling, calculating the moving speed of the mobile phone according to the mobile phone signaling and the real road corresponding to the moving path of the mobile phone, and c. confirming the traffic condition of the real road according to the moving speed of the mobile phone. By means of the method and system for processing the traffic information, no special measurement devices need to be arranged, cost is low, the sample data size is great, and analysis results are accurate.

The invention discloses a method for judging cheat clicking of mobile phone advertising. The method includes acquiring at least one piece of information in different dimensions on the basis of a built-in sensor of a mobile phone when a user clicks a screen; processing the information on the basis of respective data probability computing models to obtain respective corresponding probabilities of true clicking; processing the respective corresponding probabilities of true clicking by the aid of a regression model and computing the probability of current cheat clicking. The pieces of information in the different dimensions includes information of the clicking position of the current clicking of the mobile phone advertising, vibration change and sound change before and after the clicking, change of intersection points of the eyeballs of the user in an advertising zone and change of longitudes and latitudes of the mobile phone as compared with previous clicking. The regression model is based on a large quantity of true historical clicking information and is acquired after the true historical clicking information is trained. The method has the advantages that whether cheat clicking of the advertising occurs or not is judged on the basis of multiple factors, and accordingly an analysis result is relatively accurate.

The related tension and bond strength testing method for adhesive and polyphenyl plate comprises: cutting target plate into cubic block as sample, coating adhesive on one surface and then another surface, curing for 10-20day; dipping into water for 40-60day, taking out to dry for 2h; then, sticking sample surface with adhesive to smooth steel plate, forcing tensile force to test its strength. This invention has reliable principle, high accuracy and precise result.

The invention discloses a method and a system for detecting network security. The method comprises the following steps: 1) according to the initial state of equipment in a network, connection relationships among different pieces of equipment and the vulnerability information of the equipment, generating an attack graph comprising an attack node and a state node; 2) by aiming at a set target node, converting the attack graph into a stochastic Petri net model; 3) introducing the strategy and utility information of an attack behavior on the stochastic Petri net model, generating the stochastic game net model of an attack visual angle, and introducing the strategy and utility information of a defensive behavior on the stochastic Petri net model to generate the stochastic game net model of a defensive visual angle; 4) combining the stochastic game net model of the attack visual angle with the stochastic game net model of the defensive visual angle to generate an attack-defense game strategy model; and 5) detecting network security by the attack-defense game strategy model. According to the method and the system, the accuracy for detecting the network security can be improved.

The invention provides a real-time anti-fraud method and system based on network data, which collects original network data and obtains user transaction information and user behavior information through receiving and analyzing the original network data. Sending user transaction information and user behavior information to fraud model matching; User transaction information and user behavior information are analyzed and matched by rule matching engine combined with machine learning fraud model, and the fraud behavior is judged according to the output processing result of fraud model. Judging thefraudulent behavior of the output of the fraudulent model to form the concrete fraudulent behavior; The data supply interface is invoked to send the concrete fraud behavior to the external processingterminal. Through the real-time collection and analysis of the network data, the invention directly obtains the network layer information without modifying the user service system, analyzes the network data with high performance, and outputs the fraudulent behavior result to the anti-fraudulent platform. Real-time, full-scale fraud detection data and analysis results are provided.

The invention provides a teacher classroom teaching process analysis method based on the artificial intelligence technology and a teacher classroom teaching process analysis system based on the artificial intelligence technology. The method comprises the steps that the class video of the teacher is acquired; image recognition processing and voice recognition processing are performed; and teacher classroom teaching process analysis is performed according to the result of image recognition processing and voice recognition processing. The big data acquisition standard of the classroom teaching process can be established, the analysis data of the classroom teaching process can be accurately acquired and the analysis result can be automatically generated; and teaching process analysis and learning condition analysis can be associated so that the teaching mode can be analyzed and the teaching effect produced by different teaching modes can also be analyzed. Data acquisition is more completeand accurate, and the analysis result is enabled to be more accurate through combination of the image recognition and voiceprint recognition technology of the artificial intelligence technology. The method is not limited to the conventional S-T analysis method, and multiple teaching processes of teaching of the teacher, interaction between the teacher and the students, group discussion of the students, teaching video playing and silent practice can be accurately recognized.

The invention relates to a network water army behavior detection method and a network water army behavior detection system based on a mixed Dirichlet process. The network water army behavior detection method includes: collecting original data comprising user behavior features and content features, performing quantization representation on the original data of each dimensionality so as to form history behavior vectors of a user, and forming a user data set to be clustered; clustering the history behavior vectors in the user data set to be clustered so as to obtain at least one classification user behavior set; converting data in the at least one classification user behavior set, and merging data with the same user identification in the data after being converted so as to obtain a sequence database; performing sequence pattern excavation on the sequence database through a pattern excavation module so as to obtain at least one affair sequence pattern corresponding to each classification user behavior set; judging out the classification user behavior set which is a water army username by comparing each affair sequence pattern through a water army judging module. The network water army behavior detection method and the network water army behavior detection system based on the mixed Dirichlet process can easily recognize which category belongs to the water army username.

A databank unit of geographic information system consists of space databank for storing space geographic data of geographic space entity, attribute databank for storing attribute data of geographic space entity, data analysis unit for generating auxiliary information of space geographic data and view set of attribute data according to preset application requirement, data correlation unit for making auxiliary information be correlated with view set and for generating multidimensional data relation-table.