267 results about "Random sequence" patented technology

The invention discloses an image virtual dyeing system based on unsupervised learning and combining a diffusion process and an autoregression model, which comprises a data preprocessing module, a random sequence mask autoregression model, a diffusion loss denoising module, a pathological consistency constraint module and an image generation module, a plurality of pixel areas of a target image are predicted by using a random sequence, pixel position dependency in an image generation process is avoided, capture of a long-range dependency relationship is enhanced, global and local features are effectively captured, local information loss is avoided, global consistency and fidelity of local details are improved, and the image quality is improved. And the quality of the image is gradually optimized through a progressive denoising process in the diffusion loss denoising module, so that the finally generated IHC image is more real, the condition distribution of each image pixel is simulated, a more continuous and smoother IHC dyed image is generated, and the problem of noise and detail loss in the conversion process is avoided.

The invention relates to a fingerprint lock dynamic encryption authentication method and system and a medium. The method comprises a registration stage and an authentication stage. Wherein in the registration stage, lock body environment real-time physical parameters are collected, and a dynamic environment secret key is generated through a chaotic mapping function; acquiring a user fingerprint, identifying core and non-core feature regions, and encrypting the two types of regions by combining a dynamic environment key and a user key to generate registration encrypted fingerprint data; and dividing the data into two data fragments by using a quantum noise source true random sequence, storing the first data fragment in a local security chip, and encrypting the second data fragment and storing the encrypted second data fragment in a cloud server. In the authentication stage, environment parameters are collected in real time to generate a verification key, and the verification key is compared with a registration key; and when the two fragments are consistent, recombining the two fragments to restore the encrypted fingerprint data, authenticating the fingerprint input by the user, unlocking if the authentication succeeds, and triggering risk grading processing if the continuous failure reaches a threshold value. The overall safety and reliability of the fingerprint lock system are improved.

Disclosed are an auxiliary pilot adaptive optimization method, apparatus and device, and a medium, which relate to the technical field of wireless communications, and solve the problems of static configuration, resource waste and single function of the existing auxiliary pilot. An auxiliary pilot frequency sequence is designed into a synchronous prefix and an estimation core section, and the synchronous prefix adopts a pseudo-random sequence with high autocorrelation and is used for timing synchronization (positioning through a sequence autocorrelation peak value) and frequency synchronization (calculating frequency offset through a phase difference) in a demodulation process; the estimation core section adopts an orthogonal sequence with a low peak-to-average ratio and is used for accurate channel estimation; the double-segment sequence is connected through a preset code pattern, and it is ensured that a demodulation end can perform synchronous analysis. By sensing the channel state in real time, parameters of the auxiliary pilot frequency are dynamically adjusted, and a synchronization function is fused, so that the demodulation performance and the resource utilization rate are improved.

The invention provides an image encryption method based on chaotic mapping and dynamic positioning generalized knight cruise, and the method comprises the following steps: reading a plaintext image P, and converting the plaintext image P into a pixel matrix with the size of the plaintext image P; a chaotic pseudo-random sequence is generated through three-dimensional Logistic chaotic mapping, and three integer pseudo-random sequences are obtained through integer processing and serve as parameters of a pixel matrix for a knight cruise scrambling method; two of the obtained integer pseudo-random sequences are used for controlling cruising of a rider on rows and columns respectively, so that scrambling operation is completed; and generating a chaos matrix by using a third integer pseudo-random sequence, carrying out XOR operation on the chaos matrix and the scrambled image matrix, changing an image pixel value, and completing image encryption to generate a ciphertext image C. The dynamic positioning generalized knight cruise scrambling method designed by the invention is simple in process, and the encryption efficiency can be remarkably improved.

A method and associated memory system for randomizing memory storage data. The method and system receive at a data inverter user data and meta data sequence having an inversion seed bit, determine a value for the inversion seed bit from a look up table specifying inversion seeds for different pages of data to be stored in a memory, depending on the value of the inversion seed bit, bit-flip the user data and meta data sequence except for the inversion seed bit; and regardless of bit-flipping, exclusive OR (XOR) the user data and meta data sequence with a random sequence to produce an XORed sequence for storage in the memory as randomized data.

The application provides a method and device for generating a pseudo-random sequence, an electronic device and a computer readable storage medium. The method comprises: performing AND operation and XOR operation on M bit values of a first sequence to obtain an (A+m)th bit value of the first sequence; wherein M is an integer greater than or equal to 1, and A is an integer greater than or equal to 0; and determining an mth bit value of the pseudo-random sequence according to the (A+m)th bit value of the first sequence.

The invention provides an ocean reverberation time domain waveform realization method and system based on convolution operation, and the method comprises the steps: generating a one-dimensional random number sequence meeting a random process, and the data size of the random sequence is the same as the data size of a reverberation time domain waveform to be realized; generating a sound source signal time domain waveform; performing convolution operation on the random number sequence and the sound source signal time domain waveform to obtain a stabilized time domain waveform signal subjected to reverberation intensity stabilization processing; generating an ocean reverberation intensity attenuation curve according to the reverberation intensity theoretical model; and performing intensity weighting on the stabilized time-domain waveform signal subjected to reverberation intensity stabilization processing by using the attenuation curve to obtain a reverberation time-domain waveform. The method has the advantages that cross superposition of scattering echoes of different discrete points does not need to be considered; the calculation speed is high, the requirement for the data cache capacity is small, and the amplitude and the phase of each discrete point echo and the broadening of a transmitted signal do not need to be calculated; the method is suitable for realizing reverberation time domain waveforms in various waveguide environments.

The invention discloses a load power balance regulation and control method and device based on knowledge graph and random sequence optimization, a medium and a product, and relates to the field of power system dispatching, and the method comprises the steps: constructing a power grid topology knowledge graph according to power grid physical equipment and corresponding topology connection and operation constraints; performing probability distribution fitting on the power output of the renewable energy according to the output data to obtain the output of the renewable energy; obtaining a plurality of typical output scenes; taking the state of the power grid physical equipment after fault isolation as an initial state, and constructing a random Markov decision process; searching in a state space by using an improved heuristic search algorithm by taking an initial state as a starting point, minimizing an accumulated cost function as a target, taking a hard constraint as a constraint condition and taking a topological distance as a heuristic function to obtain an optimal operation sequence; verifying the optimal operation sequence to obtain a final operation sequence; the power of the power grid is regulated and controlled; according to the invention, the fault response speed can be improved, and rapid adaptive decision in a complex scene can be realized.

This application discloses a communication method and apparatus. The method includes: A terminal device receives indication information, where the indication information indicates M combinations, and each combination includes one CS value and one comb offset value; or each combination includes a hopping value of one CS value and a hopping value of one comb offset value, where M is a positive integer. Then, the terminal device determines, based on the indication information, a first pseudo-random sequence, and a first time unit, a target CS value and a target comb offset value that correspond to a reference signal in the first time unit. Then, the terminal device sends the reference signal in the first time unit based on the target CS value and the target comb offset value.

The invention relates to the field of information security and random number generation, and discloses a pseudo-random sequence generation system based on a four-dimensional hyperchaotic system, and the system comprises a chaotic signal generation module which is used for generating a chaotic state track composed of four state variables; the numerical solution module is used for carrying out multi-step numerical integral iteration on the state variable; the signal optimization module is used for performing cross recombination, disturbance arrangement and nonlinear quantization on the state variables; the control management module is used for controlling initialization, operation time sequence and state synchronization of each module; and the output interface module is used for outputting the pseudorandom sequence. According to the method, a four-dimensional hyper-chaotic system and a double positive Lyapunov index structure are adopted as a core dynamics basis, the technical effect of improving the unpredictability of the pseudo-random sequence and the trajectory complexity is achieved, and the potential safety hazards that the dynamic behavior is single, the dependence on initial conditions is too weak and the like are effectively overcome.

The invention discloses a universal verification method of a coding and decoding module and a related device, and the method comprises the steps: obtaining different control parameters of a to-be-tested design and key message fields and key configuration information corresponding to each control parameter, and storing the different control parameters and the key message fields and the key configuration information in a queue, each control parameter corresponding to a coding scene or a decoding scene; in response to the verification request, a test message is generated based on the queue, and the test message comprises key message fields and key configuration information corresponding to one or more control parameters in the queue; and sending the test message to the to-be-tested design and the reference model, and comparing the output of the to-be-tested design with the output of the reference model to obtain a verification result. According to the method provided by the invention, the test messages meeting different scenes of the to-be-tested design can be generated, the problems existing in a random sequence are effectively avoided, and the verification efficiency and the completeness rate are improved; the method is high in universality, and the complexity of verification of the coding and decoding module is reduced.

A method and associated memory system for randomizing memory storage data. The method and system receive at a randomizer user data and meta data having an inversion seed; generate a random sequence using a scrambling seed; generate a value for the inversion seed; XOR the user data including the meta data with the random sequence to produce an XORed sequence; and depending on the value of the inversion seed, bit-flip the XORed sequence except the inversion seed.

A file security processing method based on selective encryption and adaptive transmission comprises the following steps: analyzing file metadata in an upload request of a client to obtain a file feature and a user identity; based on the file features and the user identity, calling a configured encryption seed model to generate an initial encryption seed, and inputting the initial encryption seed into the optimized pseudo-random sequence model to generate an encryption position index so as to obtain an encryption position index; on the basis of the encryption position index and the initial encryption seed, performing encryption processing on a data block in a file data stream uploaded by the client in a streaming manner to obtain an encrypted data block; meanwhile, the transmission rate is adjusted based on the real-time transmission quantity and the network quality, and a transmission rate parameter of the adaptive network is obtained so as to control the time sequence scheduling and the data sending frequency of encrypted data block streaming transmission; and performing fragmentation aggregation and data splicing processing on the transmitted encrypted data blocks according to a transmission sequence to generate a complete encrypted file, and updating a file storage record in a database according to the complete encrypted file.

The invention discloses a self-assembly antibacterial polypeptide generation method based on a pepGPT model, a storage medium and equipment, and the method employs an MCTS model to carry out the following cycle processes: selecting a target node, expanding child nodes of the target node based on the pepGPT model, simulating and generating a random sequence, and evaluating and obtaining a reward value of the random sequence based on a discrimination model. Performing back propagation to update statistical information of each node on the search path; and ending until a preset time or a preset number of iterations is reached, and outputting the self-assembled antibacterial polypeptide meeting a preset reward value by the MCTS model. According to the method, intelligent prediction of the multifunctional polypeptide is realized, and the search and generation efficiency and classification accuracy of the self-assembled antibacterial polypeptide are improved.

The invention discloses a cross-batch chip identity verification method, device and equipment, a medium and a product, and relates to the technical field of semiconductor integrated circuit testing. The method comprises the following steps: collecting multi-source entropy data in a chip manufacturing environment, and fusing the multi-source entropy data to generate an original random sequence; intercepting the original random sequence based on the identification code length to obtain a basic identification code, and performing anti-prediction encryption processing to obtain an encrypted identification code; writing the encrypted identification code into a non-fuse nonvolatile storage area of the chip, verifying the storage integrity in real time, and activating a self-destruction circuit to cope with a failure scene; and constructing a distributed index associated with a wafer batch number, a chip physical coordinate and a test timestamp, performing double collision detection in a layered manner, and when it is detected that cross-batch identification codes are repeated, freezing identification code distribution of a defective machine and generating a traceability chain. According to the scheme, the security and uniqueness of chip identity verification are improved, and the traceability of problems in the chip production and test process is enhanced.

The invention provides an eye pattern intersection point estimation method and system, relates to the technical field of communication link evaluation, and solves the problems of insufficient estimation precision and low efficiency caused by sparse data of an intersection point region in an existing eye pattern test. The method comprises the following steps: acquiring VNA frequency domain data, converting the VNA frequency domain data into time domain data, and performing convolution calculation by using a random sequence to generate a convolution sequence; according to a preset unit interval length, segmenting the convolution sequence into a plurality of eye pattern data units to form an eye pattern data set; screening out a rising edge data subset and a falling edge data subset based on the position relationship between the starting point and the ending point of each eye pattern data unit in the eye pattern data set and the middle position of the eye pattern; and respectively carrying out average processing to obtain rising edge data and falling edge data, and carrying out linear fitting to obtain an intersection point of the rising edge data and the falling edge data as an eye pattern intersection point. According to the method, calculation can be completed only through a small number of basic data points, the processing burden is greatly relieved, and the testing efficiency is improved.

The present application relates to a kind of pipeline SAR ADC digital background calibration method based on pseudo-random sequence injection, belong to analog integrated circuit technical field.After the residual error signal is obtained in the first stage SAR ADC quantization, pseudo-random sequence is injected in the residual error signal, the superimposed signal is sampled and converted by the later stage ADC, finally cause nonlinear error in digital code output code, then the sequence input and digital output code are correlated to obtain the error information of non-ideal factor in circuit, finally the actual interstage gain value in circuit is approximated by variable step iterative algorithm for digital code reconstruction analog signal, finally reach the effect of calibration.The present application can avoid the influence of step on speed and accuracy in iterative process, be used to calibrate the interstage gain error caused by capacitor mismatch and the limited gain of operational amplifier, and in the iterative process of calibration, better speed and accuracy are realized, the performance of ADC is obviously improved, and signal-to-noise ratio and spurious-free dynamic range are improved.

The invention relates to a method (200) for calibrating a conversion chain (12) of an analogue signal receiver (10), which method comprises: - generating (205) a pseudo-random sequence (S) of states used for the formation (210) of a frequency-modulated analogue calibration signal (ANA_cal,mod); - injecting (215) this calibration signal into the conversion chain (12); - forming a digital signal to be processed (NUM_BB) by demodulating (220) an intermediate digital signal (NUM_int) received in response to the modulated analogue calibration signal (ANA_cal,mod); - determining (225) a correlation function R(NUM_BB,S) between the digital signal to be processed (NUM,BB) and the pseudo-random sequence (S); - determining (230) a transfer function (H) of the conversion chain based on the correlation function R(NUM_BB,S); and - where necessary, determining (235) a parameter (Ci) of a processing step at the output based on the transfer function (H).

The invention discloses an image encryption method based on interpretable block model driving. The method comprises the following steps: inputting a digital image to be processed; calculating the spatial information complexity of the image; calculating the statistical information complexity of the image; calculating the visual perception complexity of the image; establishing a weight optimization objective function; the optimal weight configuration is solved; calculating an image complexity evaluation value, and calculating the image complexity by using the optimal weight configuration; the maximum and minimum block size logarithms are set, and the self-adaptive block size is determined; setting parameters of the Chen's chaotic system; generating a pseudorandom sequence, and starting the Chen's chaotic system by using a set initial value to obtain a three-dimensional chaotic sequence; inputting a plaintext image, extracting basic parameters, image height and image width, and calculating the total number of image pixels; according to the method, a completely quantifiable block decision model is constructed, the mapping process from the image features to the block strategy is accurately described through a mathematical formula, and the problem that a traditional block method lacks a theoretical basis is fundamentally solved.

The invention discloses a foreground and background calibration fused capacitor mismatch calibration method and system, and the method comprises the steps: carrying out foreground digital calibration after a chip is powered on, and comprises the steps: obtaining an error voltage; quantizing the obtained error voltage to generate a corresponding error code word; the weight of foreground calibration is obtained; the method comprises the following steps of: generating a pseudorandom sequence and injecting the pseudorandom sequence into an input signal of an ADC (Analog to Digital Converter) when an ADC (Analog to Digital Converter) enters normal work; carrying out weighted summation on the digital code word quantized and output by the ADC and eliminating the interference of the pseudo-random sequence from the digital code word; and carrying out correlation calculation on the weighted summation result after the interference of the pseudo-random sequence is eliminated and the pseudo-random sequence to obtain a calibration coefficient, and carrying out iterative calculation on the capacitance weight according to the calibration coefficient. The advantages of foreground calibration and background calibration are fully combined, so that a better calibration effect is achieved.

The invention discloses a quantum tunneling effect-based random number generation method and system, the system comprises a composite entropy source module, a self-adaptive bias control module, a self-adaptive post-processing module and an output module, the composite entropy source module connects two types of physical effect entropy sources in parallel, and utilizes the noise characteristic complementation of the two types of physical effect entropy sources to improve the entropy value of an original random sequence, so that the random number generation efficiency is improved. The self-adaptive bias control module monitors two kinds of noise output in real time through a double-channel feedback circuit. According to the quantum random number generator, the composite entropy source is combined with the self-adaptive algorithm, so that the quantum random number generator with higher stability and high speed is realized. The method is high in technical maturity, and has a good application prospect in the information security fields such as electric power Internet of Things and mobile terminals.

The invention discloses an image encryption method based on RNA extended coding and quantum chaos, and belongs to the field of information encryption, and the method comprises the steps: obtaining a plaintext image, coding the plaintext image to obtain initial coding information, and generating a secret key according to the initial coding information; according to the secret key, calculating by adopting a chaos equation to obtain a pseudo-random sequence, and transforming the pseudo-random sequence to obtain a sequence required by encryption; the method comprises the following steps: acquiring a three-dimensional matrix of a plaintext image, decomposing the three-dimensional matrix into a first high-bit matrix and a first low-bit matrix, carrying out block scrambling and RNA dynamic coding on the first high-bit matrix according to a sequence required by encryption, carrying out XOR calculation on the first low-bit matrix according to the sequence required by encryption, and carrying out XOR calculation on the first low-bit matrix according to the sequence required by encryption; carrying out cross iterative diffusion and synthesis on the matrix subjected to RNA dynamic coding and the matrix obtained by XOR calculation to obtain a color ciphertext image; the security and efficiency of information encryption can be realized.

A computer-implemented method for training an artificial intelligence model configured to characterize a fault on a transmission line, the method comprising the steps of: Receiving (501) a set of signals constituting a training signal base of the model, each signal corresponding to a simulation or measurement of a compressed reflectometry signal for a transmission line having a fault characterized by an impedance and / or a position, A compressed reflectometry signal resulting from the execution of the steps of: Injecting a predefined reflectometry signal into the transmission line, Carrying out a compressed acquisition of said signal comprising at least the multiplication of said signal taken from the line by a predefined pseudo-random sequence,Train (502) the artificial intelligence model from the training signal base to perform at least one task among: a task of classifying a type of fault present on the line, a task of predicting the position and / or the impedance of a fault present on the line. Figure 5,

The invention discloses a radio analog telephone communication encryption method, device and equipment and a medium, and the method comprises the steps: generating a frequency spectrum segment number and a pseudo-random sorting sequence through a preset encryption algorithm; and carrying out controllable segmentation on the total spectrum of the analog voice according to a continuous sequence from low frequency to high frequency, carrying out sequence recombination on each sub-spectrum according to a pseudo-random sequence, finally combining and outputting encrypted voice, and recovering the original voice by utilizing the same pseudo-random sequence reverse recombination at a receiving end. Therefore, the time-frequency continuity and statistical characteristics of the voice spectrum in the traditional radio analog communication are fundamentally changed. According to the method, frequency spectrums are recombined as a whole according to a pseudo-random rule, so that an eavesdropper can only obtain disordered voice signals after the frequency spectrums are rearranged even if the eavesdropper intercepts the signals, and the difficulty of passive cracking means such as frequency spectrum analysis, filtering reduction and voice recognition is remarkably increased; the problem that in the prior art, radio analog telephone communication is insufficient in encryption and easy to crack is solved.

The present invention discloses an intermittent sampling interference method and system based on pseudo-random sequence frequency shift modulation, which relates to the technical field of radar electronic countermeasures, including intermittent sampling of enemy radar signals to obtain intermittent sampling signals; setting a pseudo-random sequence and a frequency shift amount, constructing a frequency shift amount function and a frequency shift modulation function; using the frequency shift modulation function to modulate and forward the intermittent sampling signal to obtain a frequency shift modulation interference signal; then performing matched filtering processing, parsing the filtered interference signal to obtain an optimal frequency shift amount matrix; substituting the optimal frequency shift amount matrix into the filtered interference signal to obtain an optimal interference signal, and implementing interference on the enemy radar. The present invention causes false targets to randomly superimpose around the real target, forming strong false targets with random distributions of leading, nearby, and lagging; not only adjusting the amplitude and position distribution of the strong false targets, but also destroying the time-frequency distribution and spatial distribution characteristics of the intermittent sampling interference, having both suppression and deception interference effects.

The invention relates to the technical field of image information security, and discloses a controllable image steganography method and system based on a steganography diffusion model. Comprising the following steps: acquiring a hash value of a color plaintext image, and obtaining a plurality of random sequences according to the hash value and three-dimensional memristor chaotic mapping; decomposing the color plaintext image into three channel matrixes, and performing scrambling and diffusion operation on the channel matrixes based on a random sequence to generate a color ciphertext image; adding noise to the carrier image to obtain a preprocessed carrier image; obtaining a plurality of wavelet coefficient matrixes according to the preprocessed carrier image; generating a ciphertext-containing wavelet coefficient matrix according to the color ciphertext image and the wavelet coefficient matrix; performing inverse discrete wavelet transform on the confidential wavelet coefficient matrix to obtain a noisy and confidential carrier image; and de-noising the noisy and confidential carrier image by using the steganography diffusion model to generate a final confidential carrier image. According to the method, the visual quality of the carrier image can be ensured, steganography analysis is effectively resisted, and the image steganography safety is improved.

The embodiment of the invention discloses an active interference identification method, an active interference identification system and terminal equipment. Specifically, an original signal of the radar equipment is generated; constructing an identification signal of the radar signal based on the original signal and the random sequence; a first coefficient for the identification signal is set, a second coefficient for the original signal is calculated based on the first coefficient and a preset numerical relationship, and the preset numerical relationship is associated with the first coefficient and the second coefficient; based on the first coefficient and the second coefficient, the original signal and the identification signal are fused, a fused signal is obtained, and the power of the fused signal is the same as that of the original signal; and finally, transmitting the fusion signal, and performing interference identification on the received echo signal based on a random sequence to obtain an identification result. According to the invention, high-efficiency and high-precision interference identification can be realized.

In one embodiment, a method for combating side channel attacks in a system comprising a neural network comprising a block of processing elements is described. The method includes spatially disrupting an assignment map of an output of the neural network to the block of processing elements using a first random sequence generator, where the output of the neural network includes a series of multiply-accumulate (MAC) operations, and using a second random sequence generator to temporally disrupt the product of a series of MAC operations in a run sequence. A system for combating side channel attacks is also described in one embodiment.

The invention discloses a biological information security authentication method based on deep fusion of fingerprint features and digital passwords. The method comprises the steps that a user customizes the digital passwords; extracting fingerprint features by using a transfer learning model based on a ResNet-50 architecture to obtain five high-dimensional digital feature vectors; a Sigmoid function is used to carry out normalization on all the feature vectors; obtaining a random sequence for encryption; performing scrambling operation on all the gray level images by using three-dimensional Class-Z transformation; diffusion operation based on a semi-tensor product is carried out on all gray level images; storing the ciphertext images in a database according to a sequence input by a user; when the user attempts to verify, the system executes a dynamic step. According to the security authentication framework based on deep fusion of the biological characteristics and the digital passwords, the permanent identity risk caused by inherent non-revocation of the biological characteristics is fundamentally solved, and a multi-protection mechanism with high efficiency and high security for original fingerprint characteristics is constructed with the assistance of a dynamic updating / immediate template generation mechanism.

The invention discloses a wind power typical time sequence scene generation method considering an extreme scene, and the method comprises the following generation steps: S1, collecting meteorological observation data and historical original data of wind power output, and carrying out the preprocessing of the original data; s2, decomposing an annual power sequence based on extreme large / large / medium / small / random fluctuation identification; S3, constructing a monthly characteristic index system and clustering the power sequence based on a monthly scale; s4, calculating a state transition matrix of five types of fluctuations by taking the monthly clustering set as a unit; s5, reconstructing the discretized wind power sequence to generate a random wind power sequence meeting conditions, and finally combining the random sequences of all months to generate a random sequence of the whole year; according to the method, the panorama of the system operation risk can be accurately captured, the defects of a traditional typical scene method are effectively overcome, and the accuracy and reliability of time sequence production simulation, system safety evaluation and medium-and-long-term development planning are improved.