34 results about "Fuzzy mapping" patented technology

The fuzzy diagnosis method of air-conditioner refrigerator fault is characterized by that it uses PC machine as core and adopts the fuzzy diagnosis technology to build up fuzzy mapping from element set to remark set of the object to be jadged so as to resolve the fuzzy relationship. For brevity's sake. The present invention provides an example for utilizing PC machine and the fuzzy relationship to obtain the output of the fault signal so as to implement fuzzy diagnosis.

The invention discloses an edge-reinforced color space maximally stable extremal region detection method which comprises the steps of using a multiscale probability of boundary (mPb) edge detection method to detect edges of a color image to obtain edge information and obtain distance a weighting coefficient according to the edge information and a distance conversion formula, calculating the surface characteristics and the distance value of difference between adjacent pixels in a color space, using the distance weighting coefficient to weight the distance value to obtain a final distance set, obtaining a distance threshold set according to the distribution situation of the final distance set, combining the adjacent pixels with the distance value smaller than the threshold to the same region by continuously increasing a distance threshold, and extracting regions with the size change rate reaching to the local minimum along with the change of the threshold as the maximally stable region characteristics. The edge-reinforced color space maximally stable extremal region detection method comprehensively uses edge information and color information of the image to further improve fuzzy mapping invariance in keeping the self invariance of the maximally stable extremal region to the greatest degree.

The invention discloses a fuzzy control method of continuous fuzzy interpolation based on relative similarity of a fuzzy set and a system thereof, and relates to the industrial control field. The method comprises the following steps: establishing a continuous fuzzy mapping relation between an input variable and a control variable of a fuzzy controller; performing interpolation computation on a control value based on a similar priority principle according to the relative similarity relation of the fuzzy set in a fuzzy bunch, thus achieving continuous precise control on a controlled object, and comprehensively and perfectly reserving the information from fuzzy reasoning. The method and the system have the advantages of strong anti-interference capability, fast response speed and high control precision, and can meet the actual requirements of the industrial control. The method is applicable to control systems, in which the input variable and the output control variable are continuous variables, especially furnace temperature control systems of large-sized and medium-sized heating furnaces in the industries such as metallurgical industry, chemical industry and the like.

The invention discloses an automatic-toning image processing method and system based on fuzzing. The automatic-toning image processing method includes the steps of respectively carrying out histogram statistic on the red channel, the green channel and the blue channel of an image, obtaining respective highlight pruning values and respective shadow pruning values of the red channel, the green channel and the blue channel, then generating a corresponding red mapping table, a corresponding green mapping table and a corresponding blue mapping table, further carrying out fuzzy processing on the mapping tables to obtain fuzzy mapping tables, and finally and respectively mapping color values of pixel points on the red channel, the green channel and the blue channel of the image according to the fuzzy mapping tables to obtain the final color tone of the image. In this way, the true tone of the image is better restored, tone distribution is more even, tone transition is more natural, and the effect is better.

The invention discloses a digital certificate generating method and a digital certificate verifying method. The generating method comprises the following steps: generating a key pair for a target digital certificate based on a preset key pair generating rule; based on the order number of a preset biological characteristic fuzzy mapping polynomial, decomposing the private pair to determine the coefficients of the biological characteristic fuzzy mapping polynomial; based on the biological characteristic fuzzy mapping polynomial after coefficient determination, performing fuzzy mapping of characteristic point information contained in a preset biometric template of a target user to get a fuzzy biometric template; based on the public key, the fuzzy biometric template and the identity information of the target user, generating a to-be-signed digital certificate; and performing user identity authentication on the to-be-signed digital certificate through a third party to get a target digital certificate. Through fuzzy mapping of a biometric template, the problem on how to store and transmit a biometric template safely is solved. When a user gets hold of a private key, the security of authentication is guaranteed, and attacks such as 'replay' are prevented.

The invention provides a heating furnace hearth pressure and exhaust gas temperature control method which comprises the following steps: determining input quantity of fuzzy control, the input quantity being furnace pressure control deviation and exhaust gas temperature control deviation; carrying out fuzzy segmentation on the input space and the output space of fuzzy control; fuzzifying the furnace pressure control deviation and the exhaust gas temperature control deviation; determining a membership function of the fuzzy set; determining a control rule of a fuzzy controller and a fuzzy mapping relation corresponding to the control rule; and according to the gas header pipe pressure change value and the combustion-supporting air header pipe pressure change value, determining the smoke exhaust regulating valve control compensation amount, and controlling the heat furnace hearth pressure in a feedforward mode. The invention provides a scheme for dynamically adjusting feedforward control and feedback control weights of the furnace pressure of the heating furnace, and a control program for fuzzy control of the furnace pressure is autonomously learned; the stability of hearth pressure is greatly improved, and safe and stable operation of the heating furnace is guaranteed; theoretical analysis and practice show that the production energy consumption is reduced.

The invention relates to a digital chaotic encryption method based on a chaotic number spectrum. The encryption method comprises the following steps: step one, sending code plaintext data and converting the plaintext data into binary array codes; step two, mapping the binary array codes obtained in the step one into chaotic codes via a discretization mapping method; step three, mapping the chaotic codes obtained in the step two into serial number codes via a fuzzy mapping method; step four, constructing the serial number codes obtained in the step three into ciphertext data; and step five, transmitting the ciphertext data obtained in the step four to a receiver via a public channel. The method has a function of shielding signals with spread spectrum code mapping characteristics and a parallel data processing function of carrying out parallel chaotic mapping; compared with the modern cryptosystem, the digital chaotic encryption method has higher security and secrecy performance and higher information processing efficiency and is more applicable to optical fiber communication.

The invention provides a feature selection approach based on a neural-fuzzy network. The feature selection approach includes the following steps of: the first step, adjusting parameters of fuzzy membership functions to obtain a membership function set shown in the description, based on an x training neural fuzzy network, wherein [mu]fimj represents an mj-th membership function of features fi; the second step, calculating the output oq of the neural-fuzzy network when the input is xq; the third step, modifying the neural-fuzzy network to allow a fuzzy mapping layer to map the xq as that shown in the description, wherein the values of all the membership functions of the fi are identically equal to 0.5, and at this moment, the input of the neural-fuzzy network is that shown in the description; the fourth step, calculating measurement values FQJi shown in the description of the feature fi; and the fifth step, sorting the feature measurement values FQJi in a descending order.

The invention relates to a fuzzy segmentation method for dynamic simulation validation of a large power system. Aiming at the problem of inaccurate dynamic simulation of the large power system and in consideration of a huge number of measurement data and model parameters of the large power system, the invention discloses a wide area pattern which represents the influence of the model parameters on a temporal and spatial dynamic characteristic of the power system; aiming at a certain type of elements of the power system, a fuzzy mapping relation between the model parameter and the temporal andspatial dynamic characteristic of the power system is obtained according to clustering analysis of the wide area pattern of the model parameter of the element on different nodes; and the model parameter of the element of the system is subjected to segmentation correction according to the degree of the mapping relation based on the measurement data, and a priority sequence of the segmentation correction is provided. In the invention, an effective method for dynamic simulation validation of the large power system is provided; and by applying the method, the dynamic simulation precision of the large power system can be improved.

The invention provides a technical process control method. The control method comprises the following steps: measuring first technical state parameters during production process; estimating second technical state parameters, which are difficult to be measured in real time, according to the currently measured first technical state parameters and based on a fuzzy mapping model of a knowledge database; and determining set values of control variables according to the measured first technical state parameters and estimated second technical state parameters. By the scheme, relatively complete technical state conditions can be obtained in real time when partial technical state parameters are difficult to be directly measured, the set values of control variables are automatically determined according to the technical state conditions and thus the dependence on operators is reduced and the stable yield and quality are ensured.

The invention discloses a network power efficiency evaluation model optimization method based on a numerical inverse problem. The method comprises the following steps: extracting indexes related to the power grid efficiency, establishing an index system for evaluating the efficiency, and setting the weight of each index; establishing fuzzy mapping from the evaluation index system to the power grid efficiency, correcting the index weight by using an S-type function, and substituting the index value and the corrected weight into a fuzzy mapping function to obtain a quantitative evaluation model of the power grid efficiency; under the condition that the index value is known, building an inverse problem model for optimizing the index weight by the grid power efficiency in the evaluation model through a least square method; applying regularization to the inverse problem model to suppress numerical ill-conditioned performance, namely, a regular penalty function item is added to the inverse problem mathematical model; and solving the inverse problem model to which regularization is applied by adopting a Newton-Ravphen iterative algorithm to obtain an optimal weight. According to the invention, the grid power efficiency evaluation model is optimized through the existing simulation and experimental data, and the accuracy of the evaluation result is improved.

The invention discloses a multi-feature fuzzy mapping access point optimization method based on an information gain ratio. The method comprises the following steps of: firstly, constructing an information gain ratio set of an access point (AP) and a fuzzy relation matrix of offline RSS characteristics by utilizing the offline RSS characteristics; secondly, obtaining fuzzy weights of the offline RSS characteristics by utilizing a fuzzy relation equation about the offline RSS characteristics; thirdly, acquiring RSS from different APs at a to-be-positioned point (namely a test point), and constructing a fuzzy judgment matrix of online RSS characteristics and a fuzzy membership set of APs in an online stage; and finally, defining the AP with a relatively large fuzzy membership degree as an APwith relatively strong position resolution, and using the AP as an optimized AP for positioning. Experimental results show that the method provided by the invention has relatively high positioning precision and relatively low calculation overhead.

The invention relates to an attribute ciphertext efficient sharing system supporting ciphertext deduplication, the system comprises a client, a key distribution server, an authorization center and a cloud storage server, the client is in communication connection with the key distribution server, the authorization center and the cloud storage server, the key distribution server is in communication connection with the client, and the cloud storage server is in communication connection with the client. The authorization center is in communication connection with the client and the cloud storage server, the cloud storage server is in communication connection with the client and the authorization center, and the system carries out fuzzy mapping on attributes in an attribute set through a preset attribute set fuzzy strategy, so that the safety of the system and user attributes is protected; and the problem of system user privacy disclosure is solved by adopting a self-control object technology, a cloud storage server adopts a tree structure storage mode, a user can obtain all ciphertext data which can be decrypted only by performing an access request once, the ciphertext obtaining time is shortened, efficient ciphertext sharing is realized, data redundancy is eliminated by utilizing a deduplication technology, storage space is saved, and storage overhead is reduced.

The invention relates to planning construction evaluation, in particular to a power distribution network planning construction evaluation method, which comprises the following steps of: establishing an index system structure reflecting the quality of a planning scheme, evaluating the index system structure through a priority weight method, performing dimensionless processing on an evaluation result to obtain a factor set, establishing fuzzy mapping from the factor set to a planning evaluation set, and evaluating the planning construction of a power distribution network. The method comprises the steps of obtaining a planning evaluation result, evaluating the risk event occurrence possibility based on historical data, evaluating the influence degree of the risk event on construction work, and obtaining a construction evaluation result according to the risk event occurrence possibility and the influence degree of the risk event on the construction work; according to the technical scheme provided by the invention, the defect that the planning and construction of the power distribution network cannot be comprehensively and effectively evaluated in the prior art can be effectively overcome.

The invention belongs to the field of wireless communication and network coding, and particularly relates to a signal subspace orthogonal alignment method under high-order modulation, which comprisesthe following specific steps: when signal subspaces are subjected to orthogonal alignment, determining a spatial direction sequence formed by interactive signals; selecting an appropriate precoding vector by using the orthogonal projection space of the determined signal space direction; after a physical layer network coding technology is applied to perform high-order modulation on a sending signal, the problem of fuzzy mapping of a relay end is solved. According to the invention, the fuzzy mapping problem generated by the relay under high-order modulation is solved, and the communication efficiency of the system is improved.

The embodiment of the invention provides an information generation method, device and apparatus based on a fuzzy neural network, and the method comprises the steps: carrying out principal component analysis of an obtained dimension parameter, and determining a feature parameter; smoothing the characteristic parameters according to a nonlinear excitation function, and determining service parameterscorresponding to the characteristic parameters; processing the service parameters by using a fuzzy mapping principle to generate to-be-recommended information; and establishing a mapping relationshipbetween the to-be-recommended information and the feature parameters so as to generate recommendation information. The characteristic parameters are determined by using the principal component analysis method, and the fuzzy neural network is constructed by using the nonlinear excitation function, so that the service information suitable for the user is calculated and output according to the characteristic parameters, the neural network is constructed by using the fuzzy mapping principle, and the problem of inaccurate linear matching of a single user label for massive user data at present is solved. The purpose of reducing the labor cost can be achieved while the accuracy and efficiency of information recommendation are achieved.

The invention provides a wind power generator set transmission chain optimization method and device. The wind power generator set transmission chain optimization method comprises the steps that an evaluation factor set of transmission chain design schemes is confirmed; separate evaluation is performed on all factors in the evaluation factor set according to a single-factor evaluation matrix obtained from a fuzzy mapping set; and fuzzy synthetic decision is performed on all the transmission chain design schemes according to a given weight matrix and separate evaluation results of all the factors, and the optimal transmission chain design scheme is obtained. By means of the wind power generator set transmission chain optimization method and device provided by the invention, comprehensive optimization on the wind power generator set transmission chain design can be realized.