174results about How to "Reduce relevance" patented technology

The invention relates to a compressive sensing image reconstruction method based on a pseudo-inverse adaptive matching pursuit (PIAMP), which is characterized by comprising the steps that a gauss random matrix is selected for projecting an image to form a measurement signal matrix; an image sparse base is constructed; each column of the measurement signal matrix is reconstructed by adopting the PIAMP to form a sparse coefficient of each column of the image; and the sparse coefficients of the columns of the image are arrayed and subjected to cosine transformation to form a reconstruction image. The method particularly takes account of the dictionary relevance, iteration stage division and the like in a sparse coefficient reconstruction process, so that selection of the sparse coefficients is more accurate, and the precision of image reconstruction is higher.

The invention discloses a shadow detection method based on an attention mechanism. The shadow detection method comprises the steps of obtaining a to-be-processed public shadow data set for a trainingsystem; obtaining a to-be-detected shadow image from camera equipment or a local hard disk; preprocessing the public shadow data set and obtaining a corresponding training set and a corresponding testset; preprocessing the to-be-detected shadow image; constructing and fusing all modules of a system core neural network to form a convolutional neural network based on an attention mechanism; calculating network prediction and label loss, and adjusting network parameters according to the loss; completely training the deep convolutional neural network and inputting a preprocessed to-be-detected shadow image into the deep convolutional neural network; and outputting a shadow detection result, and performing shadow attribute classification on each pixel to complete a shadow detection process ofthe custom data. According to the invention, the shadow feature extraction capability is improved, the semantic relevance is reduced, the generalization and high efficiency of the detection system areimproved, and the shadow detection result is more accurate.

The invention discloses a hypersonic aircraft self-adaptive learning control method based on a deviator characteristic model. Two variable corrected parameters are introduced, and by properly regulating the corrected parameter, the control increment at each step is limited so as to solve the problem that an executive mechanism rudder shakes too quick. The method comprises the following steps of: establishing the deviator characteristic model for laying a foundation for a golden section self-adaptive learning control law; providing a dual-parameter distinguishing method for reducing a transient error of the system control; and providing a golden section self-adaptive learning control design method based on the deviator characteristic model, thereby limiting the size of the control increment by regulating the control law corrected parameter, and reducing the relevance of a characteristic model coefficient and a state, and solving a coefficient distinguishing problem of the characteristic model. Aiming at the hypersonic aircraft, the golden section self-adaptive learning control law and the dual-parameter distinguishing algorithm based on the deviator characteristic model are designed to reduce the transient error and the shake of the rudder.

The invention provides an Android malware detection method based on an improved Bayesian algorithm. The feature attributes of Android malicious programs and well-behaved programs are analyzed and classified through the improved Bayesian algorithm to realize the malware detection method based on the improved Bayesian algorithm. A judgment on whether software is malware is implemented from the aspect of permission application of applications. According to the method, a permission request label in an Android permission request mechanism is taken as a detection data source. The malware and well-behaved software are distinguished in a permission request label combination way, and a detection model is built by using the improved Bayesian algorithm. The improved Bayesian algorithm is characterized in that mutual independence among attributes of the data source is considered, and a naive Bayesian classifier is used for performing data modeling, so that the detection index is increased greatly, the detection accuracy is increased, and the false alarm rate is lowered.

The present invention relates to an inter-network data header compression realization method. According to the method, two embedded ARM (Acorn RISC Machine) processors are adopted as a hardware basis, and the kinds of hardware are designed into gateways in different network domains by means of gateway data forwarding; a multi-processing mechanism is adopted to perform classification processing on the different data packet types of the different gateways; and a network address and physical address mapping method is adopted to achieve host communication between different local area networks. The inter-network data header compression method can be applied to an OSI (Open System Interconnection) seven-layer model-based network protocol. Different from a traditional a third-layer switching technology, the inter-network data header compression method of the present invention uses the network address and physical address mapping method in the ARP (Address Resolution Protocol) technology to process the data packets of a data link layer, so that the gateways can directly forward the data after receiving data without making the data processed by the upper layer of a network protocol, and therefore, the forwarding efficiency of the data can be increased by 15%; the quantity of data transmission in a communication link can be reduce by 12%; and good anti-jamming performance can be realized when video voice data packets are transmitted.

The present invention relates to the communication field, and discloses a data framing method and equipment thereof, which reduces the probability of synchronization error. In the invention, M verifying blocks are obtained by coding N data blocks, wherein each data block contains a data synchronization header, each verifying block contains a verifying synchronization header, the data synchronization header and the verifying synchronization header are different, the N data blocks are divided into X parts, and the M verifying blocks are divided into Y parts (N>=X>=1, M>=Y>=1, at least on of X and Y is greater than 1, the difference of the absolute values of X and Y is less than 2). Then, various parts of the data blocks and verifying blocks are arranged with an interval between each other to form a frame.

The invention provides an LDAP-based distributed cluster management and monitoring system which can be used by the cluster manager to control and monitor the operational status of every server. The system presents as an inverted tree, wherein the root node represents the management end, and the management end presents as a sub-tree and can also include a plurality of sub-trees to represent system data. Firstly the information of every server is self-organized and preserved in a local tree and every node of the tree is an information body representing a class of information which is expressed by a series of 'attribute-value'; the information can be preserved in any mode like database. LDAP simplifies the access by adding an abstraction layer to the data from an angle which is easy for people to understand.

The invention provides an operation switch device internal defect determination method based on SF6 gas decomposition products, comprising steps of using a gas chromatography detection system to detect the SF6 gas decomposition products of the operation switch device, performing statistic on the detection results of the SF6 gas decomposition products to determine the characteristic gas of the decomposition products and the characteristic parameter of the characteristic gas, and determining the internal defect type of the operation switch device according to the characteristic vector. Compared with the prior art, the invention establishes the characteristic parameter determination method for the SF6 gas decomposition products under various device faults and improves the reliability and the effectiveness of the switch device internal defect determination.

The invention discloses a dynamic searchable public key encryption method, belonging to the technical fields of cryptography and cloud storage. According to the method, functions of generation, retrieval and dynamic updating of ciphertext data in a cloud storage system under a public key encryption mechanism are realized. A sender encrypts key words of a file to generate a searchable ciphertext for (ID, W), a to-be-uploaded file is encrypted to generate a cipertext file with a file ID, and lastly, the searchable ciphertext and the cipertext file are uploaded to a server together. A receiver submits a trap door of a to-be-searched key word W to the cloud storage server, the cloud storage server carries out retrieval to obtain a corresponding searchable ciphertext, the searchable ciphertext is further decrypted to obtain a relevant file ID, and the corresponding cipertext file is found according to the file ID and is returned to a user. The receiver submits a trap door of a to-be-deleted file ID to the server, the server retrieves a cipertext index according to trap door information in order to obtain a corresponding searchable ciphertext index, and then the searchable ciphertext index and the cipertext file corresponding to the file ID are deleted.

A data store has a data array for storing data values and a tag array for storing tag values for tracking which data values are stored in the data array. The associativity of the data array is greater than the associativity of the tag array. This means that fewer tag entries need to be accessed on each data access than in a conventional data store, reducing power consumption.

The invention relates to a communication method and device, and in particular relates to a VxWorks-based lithography machine double-workbench communication method and device, aiming at solving the problem that a conventional VxWorks operating system using a TCP (Transmission Control Protocol) or an IP (Internet Protocol) is poor in communication real-time performance. The communication method and the device are realized based on a double-workbench lithography machine, an upper computer and a VME (Virtual Machine Environment) industrial personal computer, and adopts double channels of the TCP and a UDP (User Datagram Protocol) for communication, wherein the channel of the TCP is used for transmitting instructions of the upper machine, the channel of the UDP is used for transmitting execution result information of the VME industrial personal computer, a buffering queue is used for caching all the instructions and data information which are then read out one by one, and finally executed and sent, and a zero copy buffering area is adopted for nesting word interfaces. The communication method and device are used for communication when a lithography machine double-workbench is arranged in an environment which is provided with the VxWorks operating system and has access to the Ethernet.

The invention discloses a registration and login system based on blockchain zero knowledge proof and an application of the registration and login system in a registration method given by minimizationof information amount, a token number issuing method of a node and a login method with a hidden login state. The registration and login system comprises a token issuing module, an account address generation module, an account registration module and an account login application module. According to the invention, the registration and login system is integrated into the blockchain, and based on thecharacteristics of anonymity, decentration, tamper resistance and the like of the blockchain, and zero knowledge range is added to prove that personal information such as a user account is effectively protected, so that the privacy security of the user is improved, and the privacy information of the user is protected.

The invention discloses a modularized design method for a braking system for a vehicle. The modularized design method solves the technical problems that in the prior art, the efficient design of the braking system of the vehicle cannot be met, and in addition, the quality of the designed braking system of the vehicle is not high. The modularized design method comprises the following steps that the braking system used by the vehicle is subjected to modularized classification, and an assembly warehouse of a gas storage tube assembly module is built; an assembly warehouse of a valve element assembly module is built; an assembly warehouse of a pipeline assembly module is built; element assemblies are selected from the built gas storage tube assembly module, the built valve element assembly module and the built pipeline assembly module for arrangement according to a framework model of the whole vehicle, and a three-dimensional model of a currently required braking system is generated. The goals of reducing repeated work to the maximum degree, improving the assembly efficiency during the design and saving the time are achieved.

The invention relates to asymmetrical heart valve prosthesis. The asymmetrical heart valve prosthesis comprises a stent and an artificial valve; the stent comprises an atrium section, a supporting section and a valve sewing section; the supporting section is connected with a far end part of the valve sewing section; the atrium section is connected with the supporting section, or the atrium section is connected with the far end part of the valve sewing section; the artificial valve is fixedly connected with the valve sewing section; in a cross section which is perpendicular to the central axis of the artificial valve, the centre of the valve sewing section is not overlapped with the centre of the supporting section; the cross-sectional area of the valve sewing section is smaller than that of an autologous valve ring of a patient; in a free state, the valve sewing section is at least partially positioned between autologous valve leaflets of the patient; the cross-sectional area of the atrium section is greater than or equal to that of the autologous valve ring of the patient.

The disclosed device includes following modules: being connected to module for loading and reading authentication data, the module for parsing nonreal/real time data is in use for parsing nonreal/real time data in authentication data; the data check module is connected to module for parsing nonreal time data, module for parsing real time data and module for supplying auxiliary data; module for calculating parameters is connected to the data check module and the data input module; data output module is connected to the data check module and the module for calculating parameters; the data storage module is connected to data output module. Through interaction among authentication module at software terminal, service-call dialogue control function, and home server of user/authentication center, the method accomplish procedure of authentication. The invention makes software terminal, which does not support application of USIM and ISIM, possible to connect to IMS.