68results about How to "Avoid refactoring" patented technology

An apparatus, program product and method initiate the execution of distractive computational units along with the execution of other computational units on an untrusted computer to inhibit the reconstitution of a computation by an untrusted party. In particular, along with partitioning a particular computation into a plurality of computational units, one or more distractive computational units are generated and supplied to one or more resource providers for execution along with those of the partitioned computation.

The invention discloses a container cluster management method, device and system, and relates to the technical field of finance. The method comprises the following steps: receiving an application publishing request sent by a tool platform, wherein the application publishing request comprises a program file of an application to be published, an identifier of the application to be published, a target container cluster identifier corresponding to the application to be published and a server identifier in a target container cluster; converting the format of the application release request into a readable format of a target container cluster corresponding to the target container cluster identifier by adopting a first format conversion algorithm to obtain the application release request after format conversion; and sending the application publishing request after format conversion to a target container cluster corresponding to the target container cluster identifier, wherein the application publishing request is used for indicating the target container cluster to execute a publishing operation on the program file of the application to be published in the server corresponding to the server identifier. According to the method, reconstruction and reconstruction of a non-containerization system architecture are avoided, and the management cost of the container cluster is reduced.

The invention discloses an SAR (synthetic aperture radar) target identification method based on nuclear sparse representation, mainly solving the problem of low error tolerance in the prior art. The method comprises the following realization steps: (1) respectively mapping a training sample matrix and a test sample to a nuclear space, randomly reducing the dimension of the mapped sample to the required dimension, and normalizing the dimension; (2) solving a reconstructed coefficient vector between the normalized test sample and the training sample matrix; and (3) solving the energy of the reconstructed coefficient of the test sample in each class, and substituting the energy into a class judging formula to obtain a final identification result. Compared with the prior art, the SAR target identification method is characterized by improving the error tolerance of the algorithm, so that the SAR target identification method has higher identification precision and high arithmetic speed in the SAR target identification application; and meanwhile, an application range is popularized to a low-dimensional sample, thus having better universality.

The invention discloses a CNN acceleration method and system based on OPU, and relates to the field of CNN acceleration methods based on FPGA. The method includes that an OPU instruction set is defined; the compiler converts the CNN definition files of different target networks, selects an optimal accelerator to configure mapping according to the defined OPU instruction set, and generates instructions of different target networks to complete mapping; the OPU reads the compiled instruction, operates the instruction according to a parallel computing mode defined by the OPU instruction set, and completes acceleration of different target networks. According to the method, the instruction type is defined, the instruction granularity is set, network recombination optimization is carried out, a mapping mode for guaranteeing the maximum throughput is obtained by searching a solution space, and hardware adopts a parallel computing mode; the problem that an existing FPGA acceleration work aims at generating specific independent accelerators for different CNNs is solved, and the effects that the FPGA accelerator is not reconstructed, and acceleration of different network configurations is rapidly achieved through instructions are achieved.

The invention discloses a reconstruction method of a terminal under the environment of a cognitive radio network and belongs to the communication technology field. The invention mainly solves the problem that the terminal is frequently reconstructed and can not effectively make a decision. The reconstruction method comprise the specific processes: firstly, acquiring various attribute data of the network for covering an area where the network terminal is positioned; secondly, determining the weights of all attributes of an access network by applying an eigenvector method; thirdly, constructing a weighted and specified decision array according to the various attributes of reconfiguration schemes; fourthly, listing an ideal solution and a negative-ideal solution; fifthly, calculating a virtual worst solution; sixthly, calculating distances from each reconstruction scheme to the ideal solution and from the reconstruction scheme to the negative-ideal solution; seventhly, calculating comprehensive evaluation indexes of each reconstruction scheme; and eighthly, arranging good and bad sequences of each reconstruction scheme and selecting the optimal scheme access network. The invention not only can effectively determine the weights of various attributes in each reconstruction scheme and select the optimal scheme access network, but also can be used for the reconstruction of the terminal under environment of the cognitive radio network.

The invention relates to a multi-focusing image fusion method based on multi-dimensional image analysis and block consistency verification. The method includes the steps of conducting multi-dimensional decomposition for a down-sampled multi-focusing source image, calculating the definition of characteristic high frequency sub-band coefficient and conducting bi-side filtering to obtain an initial binary image, conducting up-sampling after processing isolated small areas in areas in the initial binary image, replacing the up-sampled binary image boundaries with original boundaries of a source image, conducting partitioning processing and block consistency verification to finally optimize the binary image boundaries, and conducting fusion for the source image accordingly. Optimal boundaries of focusing areas and non-focusing areas of a source image are obtained based on multi-dimensional image analysis and block consistency verification, so as to guarantee direct and accurate fusion of source image focusing areas. The algorithm is simple. The focusing information of a multi-focusing image can be effectively maintained on the premise of introducing no error information.

The invention discloses a fetal electrocardiogram signal extracting method based on wavelet threshold denoising. The method comprises the following steps of: carrying out stationary wavelet transform processing on a maternal abdomen signal, and decomposing to obtain each layer of wavelet coefficient; independently processing each layer of wavelet detail coefficient, removing fetal electrocardiogram wavelet coefficients, reconstructing remained maternal electrocardiogram wavelet coefficients, and obtaining maternal electrocardiogram in the abdomen signal; removing the reconstructed maternal electrocardiogram from the abdomen signal to obtain a fetal electrocardiogram signal; and denoising the extracted fetal electrocardiogram by utilizing a wavelet correlation denoising algorithm to obtain a clear fetal electrocardiogram signal. Due to the method, the accurate extraction of the fetal electrocardiogram signal can be realized. The method is based on a single channel, the computation of wavelet transform modulus maxima is avoided, and better instantaneity is realized.

The invention discloses an excitation system negative damping detection method based on oscillation energy injection and relates to the technical field of power system dynamic stability. The method includes calculating the excitation system oscillation energy injection through a formula of Wex=integral (t2, t1) delta mu f (t) delta i f (t) d t; only extracting the oscillation component of the concerned oscillation frequency through an identification algorithm for calculation; determining the negative and positive of the damping of the excitation system according to the positive and negative of the oscillation energy injection. The excitation system damping is detected through the directly measured generator excitation voltage mu f and excitation current i f for avoiding the reconstruction of generator internal variables, so that the calculation is simple; the generator internal parameters are not used for avoiding errors caused by inaccurate generator parameters, so that the calculation is accurate. The excitation voltage and the excitation current during oscillation can be extracted from a generator monitoring system database for being used for the analysis of excitation system damping characteristics; the method can also be programmed as a subroutine to be integrated into the generator monitoring system for application.

An apparatus, program product and method initiate the execution of distractive computational units along with the execution of other computational units on an untrusted computer to inhibit the reconstitution of a computation by an untrusted party. In particular, along with partitioning a particular computation into a plurality of computational units, one or more distractive computational units are generated and supplied to one or more resource providers for execution along with those of the partitioned computation.

The invention discloses a method and a device for detecting a user input model. The device comprises a user input model storage module, a meta-model storage module, a meta-module detection module andan output module, wherein, the user input model storage module is used for saving and analyzing the input user input model; the meta-model storage module is used for saving and analyzing a predefinedmeta-model basic constraint condition; the meta-module detection module is used for detecting whether the relationship between elements of the user input model conforms to the meta-model basic constraint condition according to the above basic constraint condition; the output module is used for displaying the output detection results on a file or a view corresponding to the user input model. According to the technical scheme provided by the invention, users can find the problem of the model at the earlier stage of modeling and design, thus system reconfiguration caused by the error of model design in the development and verification process can be avoided, and the time of development and verification is greatly reduced.

The invention discloses a method for verifying the feasibility of inserting a CRISPR-Cas9 system mediated target gene into candida utilis. The method includes the following steps that S1, an expression vector of the candida utilis containing Cas9 segments is constructed; S2, tRNAGlu genes and downstream expression units of sgRNA are amplified, PCR link is overlapped and a restriction enzyme cutting site is introduced, and after connection, the amplified tRNAGlu genes and downstream expression units of the sgRNA are combined with the vector of the candida utilis to obtain sgRNA initial recombinant plasmid; S3, pre-insertion and target sequences are selected, a sticky tail end is added to the 5' end of a target and complementary sequence, and double chain segments are formed by annealing andthen connected with the initial recombinant plasmid after enzyme digestion to obtain sgRNA mature recombinant plasmid; S4, a recombinant donor segment containing a left homologous arm and a right homologous arm of a pre-insertion sequence is constructed; and S5, the sgRNA recombinant plasmid and the recombinant donor segment are used for transforming the candida utilis carrying Cas9. The feasibility of inserting the CRISPR-Cas9 system mediated target gene into the candida utilis is verified by identifying the expression of the donor segment.

A method and device for compressing video data encoded by video packets, characterized in that said method comprises: step (2) of reducing a binary sequence, said step consists in: deleting one or more video packets from said binary sequence , in order to provide a reduced binary sequence; step (3) of the error concealment algorithm is implemented on the reduced binary sequence, thereby computing a corrected degraded locally decoded image, said corrected degraded locally decoded image is based on the reduced binary sequence and the image reconstructed by the masking algorithm; a confirmation step (4) for confirming or not confirming the reduction of the binary sequence as a function of the quality of the corrected degraded locally decoded image; depending on the presence or absence of confirmation, the selection of the reduced binary sequence or Step (2) of the binary sequence.

The invention discloses an SAR (synthetic aperture radar) target identification method based on nuclear sparse representation, mainly solving the problem of low error tolerance in the prior art. The method comprises the following realization steps: (1) respectively mapping a training sample matrix and a test sample to a nuclear space, randomly reducing the dimension of the mapped sample to the required dimension, and normalizing the dimension; (2) solving a reconstructed coefficient vector between the normalized test sample and the training sample matrix; and (3) solving the energy of the reconstructed coefficient of the test sample in each class, and substituting the energy into a class judging formula to obtain a final identification result. Compared with the prior art, the SAR target identification method is characterized by improving the error tolerance of the algorithm, so that the SAR target identification method has higher identification precision and high arithmetic speed in the SAR target identification application; and meanwhile, an application range is popularized to a low-dimensional sample, thus having better universality.

The invention relates to an object deformation real-time simulation graphic processing technique, particularly a soft tissue deformation simulation method based on coupling of mesh-free Galerkin and mass spring, which comprises the following steps: in the pretreatment process, establishing a linear viscoelasticity biomechanical model for soft tissues; in the deformation computation process, dynamically partitioning a mesh-free region and a mass spring region according to the load carried by the soft tissues, establishing a transitional unit of the connection region between the mesh-free region and mass spring region, and constructing a transitional unit approximation displacement function, thereby implementing self-adapting coupling of a mesh-free Galerkin method and a mass spring method;and in the after-treatment process, outputting the state of the mass or node of each time step in the deformation process onto a screen, carrying out illumination rendering, and finally displaying the real-time deformation process of the soft tissue organ under stressed conditions on the screen, thereby implementing visualization effect of dynamic deformation. By utilizing the advantage of high efficiency in the mass spring method and the advantages of high precision and no need of mesh reconstruction in the mesh-free Galerkin method, the invention overcomes the defect that the Galerkin method is not suitable for solving a large-scale problem, thereby effectively lowering the complexity of computation in the soft tissue deformation simulation and enhancing the operation efficiency.