985results about How to "The analysis result is accurate" patented technology

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 for obtaining a resident travel characteristic parameter based on mobile phone positioning data. The method comprises the following steps of: (1) collecting mobile phone positioning data; (2) filtering the mobile phone positioning data, matching the mobile phone positioning data to traffic zones, and obtaining the matched mobile phone positioning data; (3) using users as units, ordering the matched mobile phone positioning data in one day by time, merging the continuous data in the same one traffic zone into one piece, and obtaining mobile phone positioning pretreatment data; (4) according to the number of emerged pieces and influence duration, judging residing points, restoring a travel path between two residing points, and obtaining the travel distance and the travel speed, and then obtaining a travel log table of all users; (5) on the basis of the matched mobile phone positioning data, statistically obtaining a place of residence and workplace result table; and (6) and conjointly analyzing the travel log table and the place of residence and workplace result table, and obtaining resident travel characteristic parameters. The method has the characteristics of low cost, large sample quantity, high precision and high time validity.

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.

The invention relates to smart agreement analytical methods and devices used for intruding detection defense (IDS / IPS) and audit products. The purpose of the invention is to provide an agreement not to rely solely on the static ports and matching agreement characteristics of intelligent field protocol analysis technology and analytical format of the agreement is automatically adjusted in different versions of the software and gives accurate results, which enhanced the accuracy of the analysis of the agreement. The invention consists of three major steps: the establishment of agreements features model; agreement recognition; intelligent analysis of that agreement. This invention solved the traditional IDS / IPS products for the non-standard ports or did not have static characteristics of field data packet network protocol identification of problems but for some applications or different versions of the agreement, such as the reasons for the analytical results can provide automated error rectification work.

The invention discloses an intelligent service method based on natural language interaction and belongs to the technical field of artificial intelligence. The intelligent service method based on natural language interaction includes the steps that natural language information input by a user is received; the natural language information is subjected to semantic parsing on multiple preset semantic scenes and a plurality of semantic parsing results are obtained; the semantic results are ranked according to a ranking model obtained through pre-training; a preset number of semantic parsing results are selected from the ranked sequence and serve as the final semantic parsing result of the natural language information; the final semantic parsing result is responded to. Due to the intelligent service method based on natural language interaction, the accuracy rate of the semantic parsing result can be effectively improved.

The invention discloses a system for monitoring complicated oil deposit flooding conditions, comprising an input unit, a multi-level processing unit and a display unit, wherein the input unit is used for inputting well point geologic parameters; the multi-level processing unit is used for building hidden geologic characteristic parameters according to the well point geologic parameters input by the input unit, finishing multi-layer, multi-well, multi-phase and multi-driving power energy balance analysis and calculation of a block, further building an injecting and extracting correspondence relationship among wells and carrying out comprehensive inversion treatment on the layered and partitioned flooding conditions by using improper functions to obtain distribution data of various sucking sections and layered flooding conditions of the block and a single well in different periods; and the display unit is used for displaying the injecting and extracting correspondence relationship amongwells, built by the multi-level processing unit, and the obtained diagram result data of the distribution of the various sucking sections and the layered flooding conditions of the block and the single well in different periods. The system can obtain accurate layered flooding condition data and different levels of section analyzed result data, improve the extracting precision, and save the manpower and material resources.

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 particularly relates to a sentiment dictionary learning based text sentiment analysis method and system. The method includes steps: subjecting initial text data to normalization processing to generate preprocessed text data, and clustering the preprocessed text data to a preset field; adopting a seed sentiment dictionary based sentiment word discovery method to form a special sentiment dictionary in the preset field; subjecting the preprocessed text data to retrieval according to the special sentiment dictionary to acquire target text data serving as initial training corpus in the corresponding preset field, and classifying inputted to-be-classified texts through formed multiple classifiers. Labor cost is reduced, the problem of overfitting caused by a single classifier is avoided, and accuracy in text sentiment analysis is improved by consideration of the text related fields.

Disclosed herein is a plastic microchip used in counting the number of microparticles and a method for manufacturing the same and, more particularly, to a plastic microchip including a negative microgrid pattern formed on a lower substrate, a solvent channel and solvent inlets for a solvent welding process, and a method for manufacturing the plastic microchip by injection molding the lower substrate on which a negative microgrid pattern is formed and by injecting a solvent through the solvent inlets so as to fix an upper substrate to the lower substrate.According to the present invention, it is possible to form a microgrid pattern of a relatively narrow width deeply and uniformly as a negative microgrid pattern is formed on the lower substrate and thereby to provide a clear microgrid pattern, thus facilitating accurate observation of microparticles. Moreover, it is also possible to provide a uniform height of an injection chamber by welding an upper substrate and a lower substrate to each other by a solvent welding process, thus ensuring a more accurate analysis result.

The invention provides a form analysis method based on character positioning recognition, and the method comprises the steps: inputting a form picture into a pre-trained character positioning network,and obtaining the position information of characters in the form picture; performing graph segmentation on the table picture according to the position information, segmenting a cell picture corresponding to the position information, inputting the cell picture into a pre-trained character recognition network, and performing character recognition to obtain cell character contents; extracting a first table layout of the table picture according to the position information; and generating a form file of the form picture according to the first form layout and the cell character content. According to the method, the established deep learning model can be used for positioning and identifying the characters in the table picture, and the table picture identification efficiency and accuracy are improved.

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 invention discloses a massive web log data query and analysis method based on Hadoop and Hive by means of high reliability, high expansibility, high efficiency and high fault tolerance of a Hadoop and Hive distributed computing platform. The method includes the following steps that data of each data source are analyzed; the data are loaded into a database; HiveQL sentences are received; the received sentences are optimized to obtain a primary map result; the received sentences are converted into a Map Reduce task, the task is executed, and a query result is stored; the data are segmented; the data are analyzed and dug; the data are loaded into a Mysql database. According to massive web log data, precise query and data analysis are achieved, expansibility and effectiveness of storage, query and analysis of the massive data are achieved, and the problem that due to uneven job distribution caused by data skew, overall performance is reduced is avoided.

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 discloses a method for determining contents of carbon and sulfur in iron alloy by using infrared absorption method with calibration of different reference materials. The method comprises the following steps: selecting the iron alloy as a first reference material according to the type of an iron alloy test sample and the carbon and the sulfur contents, and calibrating a working curve of an infrared carbon and sulfur analyzer by using the first reference material; determining the contents of carbon and sulfur in flux as blank values, inputting the blank values into the infrared carbon and sulfur analyzer after calibration, and deducting the blank values from the infrared carbon and sulfur analyzer when the iron alloy test sample is determined so as to eliminate the affects of the flux on the measurement result of the iron alloy reference material; and introducing the iron alloy test sample and the flux after fusion into the infrared carbon and sulfur analyzer after the blank values are input for measurement so as to respectively obtain the contents of carbon and sulfur in the iron alloy test sample. According to the method, the problem of incapability of meeting the requirements of analysis standard when the iron alloy reference materials are few can be solved.

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 embodiment of the invention provides a geological resource environment current situation evaluation method suitable for an ecological region, which is characterized by comprising the following steps: respectively establishing a geological environment evaluation system, an underground water resource evaluation system and a mineral resource evaluation system by using a geological environment, anunderground water resource and a mineral resource; And evaluating the current situation of the geological resource environment of the ecological region.

The invention relates to a method utilizing bus vehicle GPS data for evaluating road traffic condition dynamically and belongs to the field of intelligent traffic. Vehicle GPS data is recorded when a bus equipped with a GPS device is driving on a road, wherein the data includes vehicle location information and generated time information. When calculating, a GPS point in the data is converted to a space coordinate point and is matched to the road. GPS points in a specific range of the road are obtained in a timing period and then the GPS points are matched with bus stops with known location information. Invalid GPS points around the bus stops are removed. Then the valid GPS points are utilized for azimuth angle calculation. Through the comparison with a matched road azimuth angle, the driving direction of the bus is determined. Finally, according to the positions of the valid GPS points and the time information, the average driving speed of the vehicle is calculated and is modified to the a road traffic operation speed by utilizing a speed compensation model. Compared the road traffic operation speed with a traffic state section scale, the road traffic operation state is obtained.

The invention belongs to the field of high-voltage power transformation (distribution) engineering, and particularly relates to an intelligent video monitoring system for switch-off / switch-on state of an isolating switch and / or a grounding switch in a full-metal sealed type high-voltage switch cabinet. The intelligent video monitoring system has the structure that a camera is arranged in the switch cabinet and is connected with an intelligent video coder; the intelligent video coder is connected with a switchboard through an internet access; the switchboard is linked with a local area network, and the local area network is linked with a video analysis control center; and a lighting device is arranged on the camera. According to the intelligent video monitoring system for the isolating switch state in the high-voltage switch cabinet, the camera arranged close to contacts of the isolating switch and the grounding switch is used for acquiring the image data of the isolating switch and the grounding switch; and the acquired images can be subjected to multidirectional contrast analysis through the video analysis control center, thus the analysis result is accurate, the circumstance of error determination can be prevented, and the switch off / switch on states of the switches in the switch cabinet can be remotely monitored.

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 provides a unicell based immunocyte typing quantitative analysis method. The method comprises that (1) a blood sample or a focus tissue biopsy sample of a patient is collected; (2) an antibody labeled with metal elements is used to mark cells of the sample with multiple targets at the same time; (3) the marked cell sample is detected by a mass spectrum flow type detection system; (4)on the basis of the obtained mass spectrum flow type detection data, different immunocyte subgroups are clustered for analysis, and the expression level of the different subgroup cells in a tumor immune target is quantitatively analyzed; and (5) after data processing and calculation of a dimension reducing algorithm, a 2D point diagram, a SPADE graph or a thermograph are drafted, data is displayed in a visualized way, and an informatics analysis model is constructed to cluster and analyze the different immunocyte subgroups. The rare immunocyte groups and antigen with lower expression are detected sensitively by high-flux analysis detection, the immunization typing analysis is more accurate, and the method has prospects of clinical application.

A method for analyzing influence factors of production decline of an oil and gas field includes the following steps that A, an influence factor set is determined; B, an analysis sequence is determined according to historical data; C, non-quantity processing is conducted on analysis sequence data; D, by the adoption of an improved grey correlation analysis method, influence factor association degrees are obtained and ranked; E, by the adoption of a combined hierarchical analysis method, factor weights are calculated and ranked; F, comprehensive analysis is conducted on the sequence obtained in the step D and the sequence obtained in the step E, a final influence degree sequence is obtained, and comprehensive analysis of the influence factors of production decline of the oil and gas field is achieved. According to the method, the determining mode of an identification coefficient p of a conventional grey correlation analysis method is improved, and subjectivity brought by empirical selection is eliminated; by means of the combined hierarchical analysis method, the importance degrees of the influence factors are determined from the subjective aspect and combined with an objective result. Calculation results obtained through the subjective method and the objective method are combined, so that an analysis result is more scientific, accurate and reasonable.

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.

The present invention discloses a system and a method for automatic generation of a user-oriented homepage, said system comprises an active real-time artificial intelligence network server working with a traditional network server and a fast relational data processing method to track and determine from a webpage browsing log server a user behavior for webpage browsing, and then to compile user browsing characteristics to design the webpage automatically into a user-oriented homepage. Therefore, every time when a user connects to a same URL, said user-oriented homepage presents information that said user requires or prefers.

A data analysis apparatus has a first storage for storing information, a second storage for storing association between information, a unit for setting a condition to divide the information into a plurality of groups on the basis of association between the information stored in the second storage, a unit for setting an item to compare information divided into a plurality of groups, a unit for setting a condition to extract information to be compared, and an evaluation unit for extracting information that satisfies the condition for extracting information from the first storage, dividing information extracted on the basis of the condition for dividing the information into groups into a plurality of groups, and calculating evaluation values to conduct comparison as to a comparison item for each group.

The invention provides a detection method and system for target domain name hijacking. The method comprises the steps that a server side adopts a mode of sending a domain name analysis request to an authority DNS server of the target domain name and receiving at least one analysis result of the target domain name returned by the authority DNS server to establish a standard analysis result list; the server side allocates the domain name to multiple specific client sides to execute a target domain name analysis probing task, and each client side sends the received target domain name to an LDNS server configured for the client side to request domain name analysis and reports the received analysis result to the server side; the server compares each received analysis result which is adopted as a probing task with a standard analysis result recorded by the standard analysis result list, and therefore whether a hijacking behavior exists in the LDNS server configured for the server side or not is determined.