81 results about "Pseudocode" patented technology

In the operation of a computer, a plurality of bytecode or pseudocode instructions, at least some of the pseudocode instructions comprising a plurality of machine code instructions, are stored in a computer memory. For each of a plurality of tasks or jobs to be performed by the computer, a respective virtual thread of execution context data is automatically created. The virtual threads each include (a) a memory location of a next one of the pseudocode instructions to be executed in carrying out the respective task or job and (b) the values of any local variables required for carrying out the respective task or job. At least some of the tasks or jobs each entails execution of a respective one of the pseudocode instructions comprising a plurality of machine language instructions. Each of the tasks or jobs are processed in a respective series of time slices or processing slots under the control of the respective virtual thread, and, in every context switch between different virtual threads, such context switch is undertaken only after completed execution of a currently executing one of the pseudocode instructions.

The invention discloses a software FMEA (failure mode and effects analysis) method based on level dependency modeling. The method includes 1, understanding an object to be analyzed completely and deeply as required, and determining an analyzing target; 2, establishing a system-grade level dependency model by utilizing outline design as a reference; 3, selecting a module to be analyzed and determine a failure mode thereof, analyzing a failure influence propagation path and a failure reason tracing path to determine a failure reason and the failure influence and provide improvements according to system-grade level dependency model reachability node analysis; 4, selecting a detailed-grade FMEA analyzing object according to a system-grade FMEA result; 5 establishing a detailed-grade level dependency model on the basis of detailed design or a pseudo-code of the selected object to be analyzed; 6, selecting key variables to be analyzed according to the detailed-grade level dependency model; 7, determining a specific failure mode of the key variables to be analyzed, and analyzing producing reasons and failure influences of the variables and providing improvements according to detailed-grade level dependency model reachability node analysis.

A method, system and computer program product for obfuscating pseudocode (e.g., p-code, IL-code, byte-code, etc.), including creating a class-container; declaring an anonymizer method in the class-container; identifying method call instructions in the pseudocode; replacing, in the pseudocode, method calls with calls of the anonymizer method; and in the anonymizer method, adding the method call instructions. All or some of the added method calls have the same name. Parameter types of the added calls can be replaced with an abstract type. Return types of the added calls can be replaced with an abstract type. The class-container is a global class, and includes calls to public method, or the class-container is a private nested class, and includes calls to private methods, or two separate class-containers can be used. Optionally, the invention can include identifying field load instructions in the pseudocode; replacing, in the pseudocode, field load instructions with calls of the anonymizer method; and in the anonymizer method, adding the field load instructions.

The invention relates to a universal pseudocode synchronization system of comprehensive satellite baseband equipment, and the system comprises six parts, i.e. a digital lower variable frequency module (10), a tracking related module (20), a capture pre-processing module (30), a capture related module (40), a capture management module (50) and a tracking control module (60), and completes the pseudocode capture, carrier tracking, pseudocode tracking and bit synchronization functions of remote control or range finding data in a test to a satellite according to a preset process; and the six parts are realized in a field-programmable gate array (FPGA). According to the universal pseudocode synchronization system of the comprehensive satellite baseband equipment, the parameters of the capture module are configured flexibly according to the test needs of the actual satellite, so that the quick capture and tracking of various remote control signal or range finding signal pseudocodes are realized, and the system has better practical value and wide application prospect in the technical field of comprehensive satellite baseband testing.

The invention discloses a GPS (Global Positioning System) signal acquisition method based on an FPGA (Field Programmable Gate Array), which comprises the following steps of: firstly, carrying out down sampling on a medium-frequency acquisition signal by adopting an average sampling method; taking data obtained by averaging the energy of a point during each sampling period as sample data subjectedto down sampling, wherein the averagely-sampled points meet 2FFT (Fast Fourier Transformation) operation; finishing initial acquisition of the GPS signal to obtain an initial phase range of a pseudocode and initial carrier frequency; and carrying out further fine acquisition by using a time domain correlation algorithm to obtain accurate initial phase of the pseudocode and carrier frequency. An FPGA hardware platform is set up in the acquisition system and is combined with a radio-frequency front-end chip of a GSP receiver; and the acquisition system comprises a clock generation module, a main control module realized by a state machine, a GPS signal storage module, a carrier oscillator module, a carrier stripping module, a pseudocode reading module, an average sampling module, an FFT(FastFourier Transformation)/IFFT (Inverse Fast Fourier Transform) module, a threshold decision and initial phase calculation module and a fine acquisition module realized by a correlator.

The invention discloses a method for generating a web page screenshot code based on a neural network and a self-attention mechanism, which comprises the following steps: extracting key features from web page screenshots of several platforms through a convolution neural network; generating a web page screenshot code based on the web page screenshots of several platforms through a convolution neuralnetwork. By applying the self-attention mechanism, carrying out associated learning operation on the key features obtained in step S1 and the web page code to enhance the attention of the text to itsown information; learning The processed image features and web page codes through the loop neural network, and acquiring the corresponding network parameters. Generating a pseudo code of a web page screenshot using the network parameters obtained in step S4; compiling The pseudo code in step S4 further to obtain the final generated web screenshot code. The invention can better identify the features in the web page screenshot, can better pay attention to the syntax associated with the front and back in the code text and match with the generated web page screenshot features, has high practicalvalue, and can help the developer of the front section to improve the development efficiency.

A device (D) is dedicated to the processing of data by spread spectrum coding for a multi-beam communication satellite (S), each beam (B1-B6) of which is associated with a terrestrial cell (C1-C6) contained in a satellite coverage zone (ZC). This device (D) comprises coding means (MC) charged i) with associating, on the one hand, sets of pseudo-spreading codes (J1-J4), differing pairwise, with adjacent cells of the zone (ZC) and with signalling channels common to the collection of cells (C1-C6) of this zone (ZC), and on the other hand, identical sets of pseudo-spreading codes with non-adjacent cells of the zone, the sets (J1-J4) being chosen from among sets resulting from the subdivision of a collection of pseudo-spreading codes, and ii) when data have to be broadcast in a cell (C1) and/or common information data have to be broadcast in the collection of cells, with modulating pseudo-spreading codes belonging to the set (J1) associated with this cell (C1) with the data to be broadcast, then with modulating a carrier, whose frequency (f) is the same for all the beams (B1-B6) of the satellite (S), with the modulated pseudo-spreading codes so that the modulated carrier is broadcast towards the cell (C1) or the collection of cells (C1-C6) by means of the associated beam (B1).

The invention provides a pseudocode-Doppler combined capturing method of a direct sequence spread spectrum MSK signal. The method comprises the following steps of converting the direct sequence spread spectrum MSK signal to an appropriate direct sequence spread spectrum BPSK signal through intermediate-frequency matching processing; performing Doppler compensation on sampling data of the appropriate direct sequence spread spectrum BPSK signal; capturing the code phase error, the Doppler channel and Doppler displacement value of the BPSK signal after Doppler compensation through a pseudocode parallel capturing method, and acquiring a Doppler frequency offset according to the Doppler channel and the pseudocode displacement value. The pseudocode-Doppler combined capturing method can realize capturing of the direct sequence spread spectrum MSK signal in a high dynamic condition and furthermore finishes combined estimation for the pseudocode phase and the Doppler frequency offset. On the condition of relatively low signal-to-noise ratio, not only is relatively low Doppler frequency offset estimation error realized, but also high pseudocode phase capturing performance is obtained, thereby ensuring relatively good coarse synchronization of a received signal before entering a signal tracking processing module.

The invention discloses a system and a method for converting a pseudocode into a programming language. The system comprises a data input module, a chip design specification module, a pseudocode conversion module and a data output module, wherein the data output module comprises a programming language output unit and a Bit operation type unit, and after the data input module and the chip design specification module are converted by the pseudocode conversion module, the programming language output unit outputs the generated programming language, and converts the pseudocode into a software language capable of being used directly by matching with the Bit operation type unit complying with the programming language. According to the system and the method, the conversion time from the pseudocode to the software language is shortened greatly, the functionality and the logicality of chip design logic can be verified efficiently, and the efficiency of chip testing is improved.

The invention relates to the technical field of multi-agent genetic algorithms, in particular to a search algorithm and a verification method for swarm robots based on physarum polycephalum foraging. The swarm robots are divided into three types of robots which are named as CORE, BRANCH and FORAGER; operation processing steps of data comprise four phases, namely an initialization phase, a dispersion search phase, an edge search phase and a signal source attracting phase. According to the search algorithm and the verification method disclosed by the invention, search calculation is performed by adopting a mode of controlling the swarm robots to execute simulation of the physarum polycephalum foraging by pseudocodes; simulated experiment verification for a single signal source and multiple signal sources is realized by a simulation experiment platform; demonstration and verification of the single signal source are realized in a hardware simulation experiment, and thus better effects and conclusions for coverage search in a situation of limited communication radius of the robot are obtained by the algorithm disclosed by the invention, and a simple algorithm which less depends on robot communication and adapts to area coverage searching is realized; the algorithm has higher efficiency and application value for the area coverage searching.

The invention claims a singular value decomposition-based MC-CDMA signal modulation identification and pseudo-code sequence estimation method, which belongs to the technical field of signal processing. By removing the cyclic prefix first, then constructing the matrix and performing singular value decomposition on it, the signal categories can be distinguished according to the number of eigenvalues. Since the number of eigenvalues ​​of a single-user MC-CDMA signal is always 1, it has nothing to do with the size of the construction matrix, so it is easy to distinguish from it. In the case of known prior information such as modulation type and pseudo-code period, the pseudo-code sequence is estimated by the left singular vector. For complex problems such as classifier design, the algorithm has the advantage of less calculation for the estimation of pseudocode sequences. The method can effectively distinguish MC-CDMA and MC-DS-CDMA signals, and at the same time blindly estimate the pseudo-code sequence of the MC-CDMA signal, which is of great significance for the subsequent processing of the signal and the analysis of subtle features.

The invention provides a method for capturing pseudocode under a non-Gaussian channel, which comprises the following steps: after being processed by the operations of carrier wave striping and pseudocode dispreading treatment, a received signal is converted into two observed quantities Xi and Xiof two I/Q branches; after being processed by the operation of squaring, the two observed quantities are added to the quadratic term gammaof a dispersion coefficient, and the obtained result is respectively divided by the two observed quantities of the I/Q branches to obtain reciprocal values so that the value of statistical quantity of each branch at a single time can be obtained; the values from 1 to M time (the variable of i) are sequentially processed by the steps of accumulation addition and square; and finally, the values of the two branches are added to each other to obtain and compare the statistical quantity with the threshold so as to judge whether a signal is captured or not, and the phase position of the local pseudocode is slid to carry out the operations of secondary judgment and comparison until the signal is captured under the circumstance that the statistical quantity is lower than the threshold. Proved by the result of comparison of performance simulation of the pseudocode capturing method of the invention and the traditional pseudocode capturing method, the detection performance of the pseudocode capturing method of the invention is drastically improved under the non-Gaussian noise environment, and the more obvious the pulse characteristic is, the more obvious the advantage of the detector designed by the invention can be.

The invention provides a Beidou satellite signal capturing method and device. The method comprises steps of segmenting Beidou intermediate frequency signal data into a first block, generating a pseudocode, and segmenting the pseudo code into a second block; respectively carrying out fast Fourier transform of the first block and the second block, multiplying the result of the first block by a conjugate of the result of the second block, and carrying out reverse fast Fourier transform of a product result; filling the product result into a matrix, carrying out zero padding expansion to form a first matrix, carrying out Fourier transform of each column of the first matrix, taking an absolute value, and superposing the first matrixes; and capturing a Beidou satellite signal according to the element with the maximum numerical value of the first matrix. The method is advantaged in that the satellite signal capturing time is short, hardware resource requirements are few, precision is high, advantages of a Beidou system constellation can be used for preferentially capturing Beidou satellite signals, capturing of other constellations is assisted, and satellite signal capturing efficiency isimproved.

The invention provides a hardware implementation method for generating a B1C signal pseudorandom noise code, which is characterized by comprising the following steps of: 1, designing a Legendre hardware output implementation method based on a block memory; 2, designing a hardware circuit scheme based on block ROM shared B1C pseudo-random noise code output; and 3, proposing a scheme of multi-channel time division multiplexing of the block memory in the FPGA, and realizing a multi-channel output method of the sequence. The invention aims to solve the problem that a multichannel B1C signal pseudocode generator occupies too many hardware resources, a multichannel B1C pseudo-random noise code output hardware design based on an FPGA and a time division multiplexing algorithm is provided. A specific design scheme and a simulation result are given, multichannel output of the B1C signal pseudo-random noise code of the low-power Beidou navigation receiver is realized, and the problems that thegenerated pseudo code sequence occupies too much hardware resources and the circuit structure is complex are solved.

The invention discloses an application program risk problem determination method and device and a storage medium. The method comprises the steps: acquiring a binary file corresponding to a target application program; decompiling the binary file to obtain an assembly instruction set; converting the assembly instruction set into a pseudo code file; scanning the pseudo code file through a preset risk model, and determining identification information of a target rule corresponding to the pseudo code file, wherein the preset risk model is constructed based on a sample application program and a plurality of rules determined by corresponding risk problems, and each rule comprises at least one risk feature; and determining a risk problem of the target application program based on the identification information of the target rule. By means of the technical scheme, the risk problems existing in all the application programs can be comprehensively and accurately detected.

The invention relates to the technical field of data processing, in particular to a sequence labeling-based text relation extraction method, which comprises the following steps of constructing a training data set similar to prediction data, and presetting all possible bidirectional entity relations and three fixed dependency relations; segmenting the input sentence into word sequences, and inputting the word sequences into a pre-training model to obtain a representation vector of a word in each sentence; forming a unique word pair sequence by using a mode similar to handshake for the word vector sequence; inputting the obtained vector pair sequence into a neural network classification layer; calculating loss and carrying out back propagation; judging the category of each word pair, and judging whether the word pair has the relation corresponding to the position or not; and decoding the final result by using the pseudo-code displayed in the drawing according to the corresponding relation, and finally obtaining all extracted triples. According to the method, two tasks including entity identification and relationship classification can be completed at the same time. And the extraction accuracy and the recall rate are remarkably improved and are greatly improved.

The invention discloses a method for measuring the influence of a social network, wherein the method is used for effectively selecting seed nodes. An algorithm 1 displays a pseudo code of a CCIM algorithm. Firstly, a network G (V, E) is divided into M communities through a community detection algorithm, then the influence of nodes is calculated, and a seed node with the maximum influence is found.For avoiding repeated calculation, incremental calculation of a marginal gain strategy is adopted. And after the seed node is selected, the overlapping influence is deleted and the influence of othernodes Is recalculated. And finally, the seed node propagates the influence in the network by using a specific diffusion model to maximize the influence range.

The invention discloses a method and a device for assisting a code loop by utilizing a carrier loop of a satellite receiver. The method mainly comprises the following steps: multiplying a carrier frequency word of the carrier loop of the satellite receiver by a local lock of the satellite receiver to obtain a first frequency word, and obtaining a stepped-frequency word according to the first frequency word, a local frequency word of the satellite receiver and a pseudocode frequency in the static case; accumulating a plurality of the stepped-frequency words obtained in each period of the localclock, obtaining an accumulated value, and comparing the accumulated value with the size of a predetermined constant to output a carry signal; and calculating the frequency word of the loop of the code loop of the satellite receiver according to the carry signal. When the invention is utilized, hardware of an adder, a subtractor, and the like can be used for realizing assistance of the carrier loop to the code loop, calculation error of the frequency word of the loop of the code loop, which is brought by division operation, is avoided, and the precision of the frequency word of the loop of thecode loop and an observation value can be obviously enhanced.

The invention discloses a multi-shaft robot forward kinematics computing method based on a shaft invariant. A shaft collection is used to describe correspondingly a multi-shaft machine device. Based on a natural system of coordinates, a shaft invariant corresponding to the shaft of the shaft collection is utilized to compute control parameters of the multi-shaft machine device. The invariance property of the shaft invariant is utilized to establish an iterative kinematical equation based on the shaft invariant, symbols of the iterative kinematical equation are corresponding to pseudocodes, andthe topological relation and chain order relation of a kinematic chain of the multi-shaft machine device are reflected by the symbols of the iterative kinematical equation. An iterative forward kinematics numerical value of the kinematic chain is computed. An iterative deviatoric speed based on the shaft invariant is computed. According to the multi-shaft robot forward kinematics computing methodbased on the shaft invariant, by means of a concise kinematic chain symbol system, reliability and mechanized computation of the accomplishment of the system are guaranteed; the method is provided with an iterative based on the shaft invariant, and real-time property of the computation is guaranteed; complete parametric modelling of the coordinate system, polarity and system structure parametersis achieved; and universality of models is guaranteed.