34 results about "Fuzzy mapping" patented technology

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 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 invention relates to an attribute ciphertext efficient sharing system supporting ciphertext deduplication. The system includes a client, a key distribution server, an authorization center and a cloud storage server, and the client communicates with the key distribution server, the authorization center and the cloud storage server. connection, the key distribution server communicates with the client, the authorization center communicates with the client and the cloud storage server, and the cloud storage server communicates with the client and the authorization center. Fuzzy mapping protects the security of the system and user attributes. The self-controlling object technology is used to solve the problem of system user privacy leakage. The cloud storage server adopts a tree-structured storage method. Users only need to make an access request to obtain all the decrypted data. Ciphertext data, shorten the acquisition time of ciphertext, realize efficient sharing of ciphertext, use deduplication technology to eliminate data redundancy, save storage space, and reduce storage overhead.

The invention discloses a method for predicting the coupling relationship between network resources and the environment, comprising the following steps: preprocessing the original incomplete parameter set through a multidimensional fuzzy mapping-based missing value processing method and a service expansion method to obtain preliminary parameters Set; through the feature construction method based on multi-dimensional environmental parameters, perform feature construction on the initially obtained parameter set to obtain data with stronger representation capabilities; integrate forward sequence search, backward sequence search, and simulated annealing algorithm to step S2 to obtain The characteristics of the data are dimensionally reduced, thereby reducing the variable space of each dimension and the complexity of multi-dimensional representation model training; the decision tree-based model training method is used to train, learn and predict the data, and realize the accurate description of network resources under the constraints of complex environments . The present invention can quickly and accurately complement missing values, and can improve prediction accuracy while achieving the purpose of improving model efficiency.

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 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 aims to provide a quick accurate alignment method based on a fuzzy mapping earth spin velocity. The method comprises the following steps of: determining an initial position parameter of a carrier; acquiring outputs of a speedometer and a gyroscope; determining a rough initial attitude matrix; performing Kallman filtering single-step iteration computation according to a computed earth spin velocity; determining accurate alignment time; judging whether accurate alignment is over; if so, adopting a misalignment angle estimated with a Kallman filtering technology and correcting a strapdown attitude matrix of a system by using the misalignment angle to finish accurate initial alignment; and otherwise, returning to correction until accurate alignment is over, adopting the misalignment angle estimated with the Kallman filtering technology and correcting a strapdown attitude matrix of the system by using a misalignment angle to finish accurate initial alignment. In the method, any external observation equipment does not need to be arranged, and an auxiliary position rotary table does not need to be provided, the engineering is easy to realize, and the rapidness of the accurate alignment of a strapdown inertial navigation system is effectively enhanced.

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 multi-feature fuzzy mapping access point optimization method based on information gain ratio. First, use the offline Received Signal Strength (RSS) feature to construct the information gain ratio set of the access point (AP) and the fuzzy relational matrix of the offline RSS feature; secondly, use the fuzzy relational equation about the offline RSS feature Obtain the fuzzy weight of the offline RSS feature; again, by collecting the RSS from different APs at the point to be located (that is, the test point), construct the fuzzy decision matrix of the online RSS feature and the fuzzy membership degree set of the online stage AP; finally, will have An AP with a larger fuzzy membership is defined as an AP with a stronger position resolution, and it is used as an optimal AP for localization. Experimental results show that the method of the present invention has relatively low calculation overhead while having high positioning accuracy.