132results about How to "Solve the identification problem" patented technology

The invention discloses a method and system for generating, storing and identifying the identification code of electronic equipment, wherein the method comprises the following steps that: the electronic equipment selects multiple set information from self basic information by adopting a pre-determined encryption algorithm to perform combinational calculation, such that a unique identification code is obtained; then, the unique identification code is sent to a server; according to the unique identification code, the server searches from an identification code storage system, in which unique identification codes of various electronic equipment are pre-stored, to determine whether the unique identification code exists or not; and the identity of the electronic equipment is confirmed according to the searching result. According to the method and the system disclosed by the invention, the multiple set information in the basic information of the electronic equipment can be selected to perform combinational calculation, such that the unique identification code of the electronic equipment is obtained; the unique identification code is stored in the identification code storage system composed of multiple mutually backup distributed block chain databases; therefore, the unique identification code is prevented from being attacked by a hacker; data is prevented from being tampered; the identity of the electronic equipment can be safely identified; the unique identification code can also be used for preventing counterfeiting; and the practicability is relatively high.

The invention discloses a small-size unmanned rotary wing aircraft dynamic model identification method based on an adaptive genetic algorithm, which relates to flight status data acquisition and optimization, dynamic model building and parameter identification, and parameter optimization validation. Firstly, status data and control data when a small-size unmanned rotary wing aircraft executes standard actions are acquired through a data acquisition system, and smoothing and filtration are conducted to eliminate wild values; then aiming at the operating characteristics of the small-size unmanned rotary wing aircraft at autonomous takeoff and landing stages, a small-size unmanned rotary wing aircraft dynamic model is built through a balance point linearization method and model parameters are identified through the adaptive genetic algorithm; and finally intelligent parameter evaluation indexes are built and the effectiveness of the model parameters is evaluated and judged through a one-step predication method. The small-size unmanned rotary wing aircraft dynamic model identification method based on the adaptive genetic algorithm solves the problem in the dynamic model identificationof the small-size unmanned rotary wing aircraft, can realize the high-accuracy control of the small-size unmanned rotary wing aircraft, and has the advantages of low testing cost, short cycle, simplecalculation, high dynamic model accuracy and weak dependence on initial values.

The far distance identity identifying method based on walk includes two processes of training and identifying. The training process includes the steps of obtaining training walk sequence, spatial contour cutting, shape and distance signal extraction, main component analysis, personalized physique characteristic extraction to extract visible personalized characteristic as additional characteristic for final vertification of walk classification, and obtaining trained walk data base. By means of statistic pivot element analysis method, far distance identify identifying system based on walk behavoir is realized. The present invention utilizes also improved background reduction method, characteristic space transformation of motion contour, and correlation identification or nearest neighbour rule in the characteristic extraction.

The invention discloses a motor parameter identification method and device. The motor parameter identification method comprises the steps that motor signals generated in the operation process of a motor are detected; a parameter identification equation is built according to the motor signals, wherein the parameter identification equation is used for calculating motor parameters of the motor, and the parameter identification equation is based on the least square method; the motor parameters are identified according to the parameter identification equation, and a parameter identification result is obtained, wherein the motor parameters are parameters of the motor. Through the motor parameter identification method and device, the problem that parameter identification can not be realized through a control method of a permanent magnet synchronous motor when the motor runs within the rotation speed range is solved.

The invention belongs to the technical field of social network user identification, and discloses a cross-social network user identity identification method based on a community structure, which comprises the following steps: step a, respectively mapping a source network and a target network to a low-dimensional vector space by adopting a network embedding mode; and step b, based on the vector space, training a BP neural network in a supervised manner to obtain a BP neural network model for realizing mapping from a source network to a target network, and identifying the user identity of the source network in the target network through the BP neural network model. In the process of learning the feature vector representation of the social network nodes, the proximity features and the community structure features of the nodes are fused, the structure features of the social network are reserved to the maximum extent, and the user identity recognition accuracy is improved.

The invention provides a genetic algorithm-based method for identifying parameters of a mechanical arm with an unknown load. The method comprises four steps that: step 1: obtaining a dynamic equation of the mechanical arm according to dynamic characteristics of the double-hinged mechanical arm with the unknown load; step 2: conducting variable separation on functions of unknown physical parameters in the dynamic equation according to the dynamic equation of the double-hinged mechanical arm with the unknown load and obtaining a separated expression of the functions of unknown physical parameters; step 3: designing a genetic algorithm according to the separated expression of the functions of the unknown physical parameters, so as to identify the parameters of the double-hinged mechanical arm with the unknown load; and step 4: comparing an identification value obtained through matrix laboratory (MATLAB) simulation with a measured value, so as to identify the physical parameters of the double-hinged mechanical arm with the unknown load. By adopting the method, the problem of identifying the physical parameters of the double-hinged mechanical arm with the unknown load in a motion process is solved, so the method has a practical value in the technical field of robot control.

The quick method of identifying bovine mycobacterium and tubercle mycobacterium includes: adding bovine mycobacterium Vallee strain genome DNA to proliferate one 294 bp segment, detecting target gene from bovine mycobacterium DNA with bovine mycobacterium primer, adding tubercle mycobacterium H37vR strain genome DNA to proliferate one 294 bp segment, proliferating target genome from tubercle mycobacterium DNA with tubercle mycobacterium primer, adopting the same upstream primer and different downstream primers and adopting two gene segments of 294 bp and annealing temperature of 67 deg c. The method of present invention is used in the direct detection of bacterial cultured matter and clinical sample.

The invention discloses a method for molecular identification of Siniperca chuatsi basilewsky and Siniperca scherzeri Steindachner and a kit used by the same. The method for molecular identification comprises the following steps: DNA extraction, DNA fragment amplification, electrophoresis of PCR products and identification by a silver-staining method. The kit contains a pair of SSR primers and a standard map. The method for molecular identification can improve the efficiency and accuracy of identification of Siniperca chuatsi basilewsky and Siniperca scherzeri Steindachner, and is expected to solve the identification problem in the aquiculture of Siniperca chuatsi basilewsky and Siniperca scherzeri Steindachner and stimulate the sound development of Siniperca chuatsi culture industry.

The invention relates to a processing method and system of an electronic confirmation letter based on the Internet. The method comprises the following steps: step S1, receiving a confirmation service request initiated by a letter sending party, electronically signing confirmation letter information, and submitting the confirmation letter information to an authorized party; step S2, after receiving the confirmation letter information by the authorized party, performing sign verification on the confirmation letter information, if the sign verification is passed and authorization confirmation submitted by the authorized party is received, generating a letter of authorization according to the confirmation letter information, electronically signing the letter of authorization, and submitting the signed confirmation letter information and the letter of authorization to a letter reply party; and step S3, performing sign verification on the received confirmation letter information and the letter of authorization by the letter reply party, after the sign verification is passed, adding letter reply information in the received confirmation letter information, generating a letter reply file and signing, uploading the signed letter reply file to a server, and feeding the letter reply file back to the letter sending party. The method and the system provided by the invention can solve the error-prone problem due to complicated work of multiple parties in the confirmation letter service.

The invention discloses a method for detecting position-independent geometric errors of double rotating shafts of a five-axis numerical control machine tool. The method is characterized in that a ballbar is adopted as experimental equipment for identifying the position-independent geometric errors (PIGEs) of the swing shaft B and the rotating shaft C in the five-axis numerical control machine tool; a new measurement track is provided; the problem that asynchronism is caused between the resultant velocity formed when the swing shaft B and the rotating shaft C re in coordinated movement and theacquisition speed of the ball bar is solved; a homogeneous transformation matrix in the rigid body kinematics is combined, and a simulation model is established; and the simulation model is combinedwith experiments, and the position-independent geometric errors of the double rotating shafts of the five-axis numerical control machine tool can be identified and measured. By means of the method, the position-independent geometric errors of the double rotating shafts of the five-axis numerical control machine tool can be rapidly and effectively detected; and the precision is high, and the practicability is good.

The invention discloses a fritillaria medicinal material identification and content determination method comprising the steps: after extracting with ethanol, passing through a neutral alumina column, determining by high performance liquid chromatography, combining with specific chromatograms of medicinal materials, effectively identifying thunberg fritillary bulb, bulbus fritillariae cirrhosae and bulbus fritillariae ussuriensis, and determining the contents of peimine and peiminine. The method not only can effectively identify authenticity of the three fritillaria medicinal materials, but also can accurately determine for the contents of peimine and peiminine, achieves multiple evaluations through one-time determination, and is safe, environmentally friendly, convenient and quick.

The invention discloses a solar cell implicit equation parameter identification method based on a particle swarm optimization algorithm, and is used for solving the technical problem of low identification precision of the solar cell parameter identification method. The technical scheme can efficiently extract five parameters of a solar cell model through identification by a fitness function design method based on an equation to be identified by aiming at a characteristic that the solar cell model is an implicit equation. In an identification process, the linear simplification of an equivalent equation and the default of the small-range parameter change do need to be carried out, so that an identification process is more flexible, adaptive and robust, and the precision of an identification result is higher. Meanwhile, the method also can be used for solving the identification problem of other implicit equation parameters in addition to the solar cell model, and has certain universality.

This invention discloses a digital credentials method based on notarization information. A notarization program of notarization organization is led to an electric identification certification so as to provide the public credibility certification of user true identification and credentials. The binding technical of using notarization mark technology and the credibility information of user related identification is used for forming the digital credentials used by the user identification certification and guaranteeing the integrity. Compared with the currently adopted CA certification organization mode under PKI system, this invention effectively conquers the drawbacks that the nonstandard technical standard, low authority of certification and fairness caused by the current PKI system, and the low commonality caused by remarkable region and professional, and has remarkable advantages of saving large amount of cost of creating the CA certification organization. And this invention can be immediately performed. This invention can be widely applied to the business windows, such as the electronic business, the electronic government affairs, the administration, the bank, the Telecommunications, the insurance, and can be applied to the user identification certification under the system of real name of fields of each special business system, hotel, traffic, customs and so on.

The invention belongs to the technical field of distinguishing traditional Chinese medicinal materials, and in particular relates to a polymerase chain reaction (PCR)-restriction fragment length polymorphism (RFLP) method for distinguishing honeysuckle and lonicerae flos. The feature DNA base sequence of the honeysuckle is 5'-Y GGCCR-3' and can be identified and cut by restriction enzyme CfrI or EaeI. The distinguishing process comprises the following steps of: extracting medicinal material DNA; performing PCR amplification by a pair of primers; digesting a PCR product by the restriction enzyme CfrI or EaeI; performing agarose gel electrophoresis analysis on the result; and comparing the result with a PCR-RFLP feature result of the lonicerae flos, and judging whether the test piece is the honeysuckle or the lonicerae flos. The quick, convenient and reliable PCR-RFLP method is realized according to the difference between the DNA sequences of the honeysuckle and the lonicerae flos; and the PCR-RFLP method has an important significance for guaranteeing the quality of a honeysuckle medicinal material, cracking down the ill behavior that sellers sell the lonicerae flos as the honeysuckle and protecting the rights and interests of customers.

Disclosed is a method for identifying resistance parameters of rotors of induction motors on the basis of an Elman neural network. The method has the advantages that the Elman neural network and a network structure are determined, a training sample is processed, and the parameters are identified, so that a reference model can be obtained when speed regulating signals are different, and requirements of identification for the resistance parameters of the rotors of the asynchronous motors on rotational speed sensors are met.

It's a random miniature digital labeling network security system, through random miniature digital labeling and network equipment to judge the product with random miniature digital labeling. Random miniature digital labels are printed with their signatures, verification codes, and randomly generated miniature code combinations and the website of data storage center servers, different random miniature digital labels have different signatures. Representative random miniature digital signatures, validation code, the miniature code combination and the corresponding product information are stored in central server. The network terminal equipments access the center server through network, the central server displays the on the corresponding verification codes, the miniature code combination, test results and product information on network terminal security equipment according to received signatures, so that the products authentic user can judge their products according to the displayed information, and can use the web site authenticity to judge the veracity of that information.

The embodiment of the invention provides a surfing method, a client, a security gateway and a surfing system. The method comprises: receiving a control framework sent by a security gateway; judging whether cache information having the authority to access a suspicious website is saved according to the control framework; and displaying a page of the suspicious website if the cache information having the authority to access a suspicious website is saved. The client comprises a first receiving module, a processing module and a display module. The security gateway comprises a forwarding module, a second receiving module and a generation module. The system comprises the client and the security gateway. By judging whether a user has the authority to access the suspicious website in the control framework generated by the security gateway, the embodiment of the invention solves the problem of user identification when family users use routers with NAT function to get access to the Internet, realizes that parents are not affected while minors are protected when a family surfs the Internet, and is low in hardware requirement and easy to popularize.

The invention provides a method for recognizing high-accuracy servo friction parameters by using ant colony optimization. Firstly, a closed loop servo system is made to rotate at an invariable speed to obtain corresponding control moment sequence, thereby, creating a static evaluation function to recognize static parameters of the high-accuracy servo friction parameters. Secondly, ants are scattered on spatial meshes on the principle of random and record the intelligent ant that processes best value of evaluation function. Pheromone is updated according to the rules combined with the evaluation function until the best static parameter is found out. And then an estimated value of the obtained static parameter is used in place of an actual value, further recognizing dynamic parameters. The method has advantages that the method does not rely on an accurate model of a controlled object and is provided with higher online freshness, which can effectively solve the difficult problem of online recognition and problems can be handled with more flexibility, suitability and robustness.

The invention belongs to the field of user identification technology, and particularly relates to a user identification system based on keystroke rhythms and an identification method thereof. The method comprises the following steps: acquiring and analyzing all keystroke rhythms after a user logs into a system to obtain the confidence degree of the current login user, and judging whether the identity of the current login user is legal according to the confidence degree of the user; and meanwhile, performing continuous identity verification for the user to judge whether the current user is a legal user, and performing permission verification for the user again when the confidence degree of the user is lower than a preset early warning threshold. According to the user identification system based on the keystroke rhythms and the identification method thereof disclosed by the invention, the identity of the user can be identified through keystroke rhythm data of the user, the user does not need to carry out other authentication behaviors during identification, the user experience can be improved through the fully transparent identification of the user, the operations of the user cannot be affected, a continuous identification scheme is adopted to perform uninterrupted identification and authentication for the identity of the user, and thus the ability of the system to resist illegal intrusions can be enhanced, and the security of the system can be effectively improved.

The invention relates to a method for distinguishing a salvia miltiorrhiza medicinal material or a derivative. The method comprises the following steps: (1) extracting the salvia miltiorrhiza medicinal material or the derivative, to obtain a tanshinone characteristic extract and a danshinolic acid characteristic extract which contain active component groups; (2) performing IGD nuclear magnetic resonance carbon spectrum finger print detection on both the tanshinone characteristic extract and the danshinolic acid characteristic extract, obtaining the peak intensity of characteristic peaks of a plurality of active components in the characteristic extracts according to the finger print; and detecting the peak intensity of the characteristic peak of corresponding standard reference of each active component with the same manner; (3) obtaining the absolute content of the standard references by a quantitative analysis measure; and (4) calculating the content of each active component and the content of the active component groups in the salvia miltiorrhiza medicinal material or the derivative by utilizing the ratio of the peak intensities of the characteristic peaks and the absolute content. Due to the adoption of the method, the tanshinone and danshinolic acid compounds contained in the salvia miltiorrhiza and the ratio of the tanshinone compound to the danshinolic acid compound can be indicated, and the purpose of realizing quality determination of salvia miltiorrhiza medicinal material or derivative is achieved.

The embodiment of the invention provides an enterprise identity verification method. The method comprises the steps of: performing registration processing of distributed identifiers on an enterprise institution, an identity verification institution and an identity use institution on a KYC platform; obtaining a first application request of the registered identity verification institution, so that the KYC platform can take the identity verification institution as a verifiable certificate issuer according to the first application request; obtaining a second application request of the registered enterprise institution, so that a verifiable certificate issuer can issue a verifiable certificate to the enterprise institution through the KYC platform according to the second application request; acquiring the registered distributed identifiers and an issued verifiable certificate which are shown by the enterprise institution to the identity use institution; and enabling the identity use institution to verify the verifiable certificate of the enterprise institution through the KYC platform and the verifiable certificate issuer.

The invention proposes a method for analyzing sensitivity of geometric errors of dual-rotation axes of a five-axis CNC machine tool, and the method comprises the following steps of firstly constructing a mathematical model of geometric errors of the dual-rotation axes based on a multi-body system theory and a homogeneous transformation matrix; performing error parameter sampling by using a Monte Carlo method, and analyzing the sensitivity of the geometric errors of the dual-rotation axes of the CNC machine tool; finally performing sensitivity analysis on the error parameters based on the positions of the specific rotation angles of the dual-rotation axes, and calculating the first-order sensitivity and global sensitivity of each geometric error of the dual-rotation axes at this position bysetting the positions of five groups of specific rotation angles, wherein the Sobol sensitivity analysis method can be used to identify the key geometric error among the 20 geometric errors of the dual-rotation axes, and complete the identification of the geometric errors of the dual-rotation axes of the five-axis CNC machine tool. The method has the advantages of simple detection steps, convenient measurement and high identification accuracy.

The invention provides a gas insulation state simulation test device and a gas insulation state test method. The gas insulation state simulation test device comprises a bin, a heating element and a temperature detection unit; wherein a bin chamber is formed in the bin and provided with gas holes; the heating element is arranged in the bin chamber; the temperature detection unit is mounted on the bin and used for detecting the temperature of the heating element. Using the gas insulation state simulation test device can test decomposition products of insulating gases at a high temperature, and the insulation state simulation test device is capable of simulating real gas insulation equipment so as to directly apply test results to fault detection of the gas insulation equipment. During test, to-be-tested insulating gas is filled into the bin chamber through the gas holes, the heating element is enabled to heat, the temperature detection unit detects the temperature of the heating element, and the gas in the bin chamber is sampled for test through the gas holes at a preset temperature.

This invention is a vehicle anti-theft automatic control system, which comprises ID / IC card reader at entry and exit, road gate controller, earth inducting coil, wireless vehicle identifier, PC host, etc. The ID / IC card reader connects directly with serial port of PC host. The 485 interface of long-distance network-control driver datawire connect to the serial port COM1 of host. The exit / entry gate control mainboard connect to the ground wire and live wire. The two connector of exit / entry earth inducting coil connect to LOOP and LOGN of gate control mainboard. The serial control line of gate control mainboard connects to serial port COM2 of host. The vehicle wireless identifier of client install on registered vehicle, and communicate with PC identifier through antenna. The PC identifier connects with COM3 port of PC host by datawire. The entry / exit camera connects with the video card channel of PC host. The long-distance network-control driver connect the gate control mainboard, card reader, vehicle identifier with the PC host.

The invention discloses a characteristic model parameter identification method based on input smoothing. The characteristic model parameter identification method is characterized in that a characteristic model of a controlled system object can be acquired, and an intermediate variable and an unknown coefficient variable can be built according the input and the output of the controlled system object; the unknown coefficient variable can be identified by adopting the identification algorithm to acquire an identification value, and then the identification value can be corrected by adopting the projection algorithm, and the corrected identification value can be used as the unknown coefficient variable of the next period; and at last, an intermediate control variable can be calculated according to the unknown coefficient variable, and therefore the input of the controlled system object of the next period can be acquired, and then the characteristic parameter identification of the current period can be completed. The characteristic model parameter identification method is advantageous in that the change of the control variable can be limited by adopting the smoothing design of the control input, and the rate of change of the characteristic model parameters can be further limited, and then the identification of the characteristic model parameters can be realized; and at the same time, the second-order model and the first-order model of the daily use can be covered, and therefore the good versatility and the good application prospect can be provided.

The invention discloses an IOS mobile phone-based mobile phone screen breaking insurance fast insuring system. The system comprises a mobile phone client and a central processing unit which communicates with the mobile phone client through a wireless network; the mobile phone client comprises a manual input module, an identification code storage module, a picture upload module, a payment module and a display module; and the central processing unit comprises a data receiving module, an identification code generating module, a random code generator, a register, a digital image processing module, an insurance policy generating module and a data storage server. According to the IOS mobile phone-based mobile phone screen breaking insurance fast insuring system of the invention, random codes are generated through the random code generating module, so that insured users can be prevented from forging photos through using the changing random codes; pictures uploaded by the users are automatically processed through the digital image processing module, and therefore, manpower can be saved, the pre-sale survey problems of mobile phone screen breaking insurances can be solved; and the unique identification codes of mobile phones are generated through the identification code generating module, so that the uniqueness of insured mobile phones can be ensured, and affirmation problems of the insured mobile phones in a claim settlement process can be solved.

The invention provides a polymerase chain reactino-restrictive enzyme-cut chart molecule (PCR-RFLP) method accurately identifying honeysuckle in genuine producing areas (Henan, Shandong) and nongenuine producing areas (other producing areas). The characteristic DNA alkali sequence of honeysuckle in genuine: 5'-GCCCCCCCGC CCCGCCTCCC ACAGGGTCGC G-3'; restrictive inner cut enayme EcoNi and its same cut-enzyme can identify and cut this sequence. The identifying course: extracting DNA of medical materials; using a pair of guide matters to make PCR increase; using restrictive inner cut enayme EcoNI and its same cut enayme to digest PCR product; analyzing the result by using gelation and electrophoresis of gelose; in contrast with the characteristic result of PCR-RFLP of genuine honeysuckle, judging if the tested product is genuine honeysuckle.

The invention discloses a method and system for identifying art authenticity by an intelligent identification and analysis technology. The method comprises the steps of classifying arts into passed-away arts and living arts; building a database on the arts, storing all information of the arts, and performing intelligent analysis and storage on an image system of artists; recording information and system of the arts, performing self-learning evolution on an art needed to be identified; performing target source matching on the art needed to be identified, and performing authenticity comparison if a target source exits; and comparing a style corresponding to the art deduced by self-learning to obtain a final result of authenticity identification. By the method, the current situation that the existing art identification field cannot be systematized and standardized is solved; and by the intelligent identification and analysis technology, a self-learning evolution system is developed on the basis of the database built according to art image information.

The invention aims to provide a novel method for the identity authentification and the digital signature. The invention provides a method for the safe identity authentification and the digital signature under the circumstance that the challenge times are not revealed. An RSA number or an RSA magic number can compose a safer method for the identity authentification and the digital signature. In addition, the RSA number or the RSA magic number can be adopted to accomplish the authentification and the digital signature of a plurality of websites. Besides, a method for generating a user password (a private key) corresponding to the website through the information provided by the website is provided.

The invention relates to an electronic-confirmation-request automatic generating method based on a safe two-dimensional code. The method includes the steps that S1, source data information for generating an electronic confirmation request is obtained; S2, according to the source data information of the electronic confirmation request, digital digest information of the electronic confirmation request is generated; S3, signing information is formed by the digital digest information of the electronic confirmation request through certificate information and a corresponding private key; S4, the signing information generates the safe two-dimensional code and put on the blank portion of the electronic confirmation request; S5, a PDF document of the electronic confirmation request is generated by calling a PDF generating module. A system comprises a source data information obtaining module, a data summary information generating module, a signing information generating module, a safe-two-dimensional-code generating module and the PDF generating module. By means of the electronic-confirmation-request automatic generating method based on the safe two-dimensional code, the problem that in electronic confirmation businesses, important information of the electronic confirmation request is easily tampered is solved.