341 results about "Random sequence" patented technology

The invention relates to the technical field of data security, in particular to a data security sharing method and system. The method comprises the following steps: acquiring original shared data, carrying out reverse mapping and block marking, generating block marking data, carrying out inter-block random arrangement on the block marking data, carrying out differential disturbance simulation based on a random sequence, forming disturbance block data, and encrypting the disturbance block data by applying a progressive encryption technology. The method comprises the following steps: carrying out fragmentation storage, generating storage shared data, carrying out access monitoring on the storage shared data, collecting shared access data, and constructing an evidence chain and generating an access traceability data chain according to the data, thereby realizing the security and traceability of data sharing. According to the invention, a safer and more credible data security sharing method is realized.

The invention relates to a satellite communication encryption method resistant to channel interference. According to the method, satellite orbit parameters are dynamically mapped into a chaos spread spectrum sequence, an anti-interference pseudo-random sequence and a dynamically decoupled encryption key are synchronously generated based on the chaos sequence, a spread spectrum code and the key are completely isolated mathematically, chaos parameters and a channel state are hidden and embedded into a physical layer signal, and therefore the anti-interference pseudo-random sequence and the dynamically decoupled encryption key are obtained. According to the method, deep cooperation of anti-interference and encryption is achieved, the concealment and the anti-interception capability of signals in a complex channel are enhanced through chaos spread spectrum, the synchronization precision of a decryption end is guaranteed through real-time binding of a dynamic key and channel parameters, and finally synchronous improvement of the anti-interference capability and the information security is achieved in a satellite communication high-dynamic environment.

The invention discloses an image encryption method and system based on a chaotic system, and relates to the technical field of image processing, and the method comprises the steps that the chaotic system is constructed by a cellular automaton and tent mapping combination; performing coordinate scrambling on the coordinate values of the pixel points; all the pixel points form a pixel matrix, and the pixel matrix is traversed to obtain an initial encryption matrix; a pseudo-random sequence is obtained through a chaotic system, the pseudo-random sequence is arranged into a row matrix and a column matrix, the row matrix and the column matrix are subjected to XOR operation, and a plaintext image is converted into a two-dimensional matrix; converting the initial encryption matrix into a two-dimensional encryption matrix; on the basis of a CA model of a cellular automaton, calculating and assigning pixel point values of the initial encryption matrix and the two-dimensional encryption matrix to obtain a target encryption image, and the image encryption method based on the chaotic system can solve the problems that in the prior art, an image encryption method based on the chaotic system is not sensitive to plaintext images, cannot effectively defend differential attacks, is poor in robustness, and cannot effectively defend differential attacks. And the technical problems of periodicity and generally small key space are solved.

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 the technical field of power grid frequency modulation, in particular to a prediction method and system for optimizing a frequency modulation instruction of a hybrid energy storage system, and the method comprises the steps: obtaining a proportion increment sequence and a second-order proportion increment sequence according to the ratio of adjacent data in a frequency modulation instruction sequence; obtaining a difference value increment sequence and a second-order difference value increment sequence according to a difference value between adjacent data in the frequency modulation instruction sequence; acquiring a frequency modulation instruction data range corresponding to each piece of data in the frequency modulation instruction sequence; sequentially and randomly selecting a plurality of frequency modulation instruction random sequences through a frequency modulation instruction data range corresponding to each piece of data in the frequency modulation instruction sequence, and obtaining an optimal frequency modulation instruction random sequence according to the proportion increment sequence, the second-order proportion increment sequence, the difference value increment sequence and the second-order difference value increment sequence; and performing subsequent prediction on the optimal frequency modulation instruction random sequence, and performing frequency modulation control of hybrid energy storage through predicted data. According to the invention, the accuracy of hybrid energy storage frequency modulation control is improved.

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.

The present application relates to the technical field of DNA storage. Provided are a method and apparatus for encryption and coding during DNA storage, and an electronic device and a storage medium. The method for encryption and coding comprises: acquiring data to be stored, and a first random number sequence and a second random number sequence which are generated by a hyperchaotic pseudo-random sequence generator; using the first random number sequence to encrypt the data to be stored, so as to obtain source data; performing DNA Raptor coding on the source data, and introducing the second random number sequence into a DNA Raptor coding process as a random number seed, so as to obtain at least one piece of coded data; and on the basis of a DNA base mapping rule, converting each piece of coded data into a corresponding DNA sequence, and generating a target DNA sequence from the DNA sequence corresponding to each piece of coded data. The present application solves the problem in the related art of data security being not taken into consideration during DNA storage.

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 relates to the technical field of chaotic cryptography, image encryption and information security, in particular to a multi-image encryption algorithm based on a hyper-chaotic system and computer-generated holography, which comprises the following steps: S1, generating a pseudo-random sequence for encryption by using the hyper-chaotic system; s2, preprocessing the original image based on computer-generated holography; s3, combining the generated pseudo-random sequence with the preprocessed image to realize image encryption; s4, through decryption operation corresponding to the encryption process, the original image is restored after the correct secret key is input; and S5, the decryption operation comprises inverse transformation and reconstruction operation on the encrypted image. The algorithm comprises an image preprocessing module, a hyperchaotic system module, a compressed sensing coding module, a computer-generated holographic encryption module, a decryption module and a post-processing module, the security of sensitive image data in the transmission and storage process can be ensured, and efficient and reliable guarantee is provided for sensitive image encryption in various fields.

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 invention mainly relates to the technical field of spectral data processing, and provides a spectral processing method suitable for a convolutional neural network in order to solve the problem that the classification or objective prediction accuracy of the convolutional neural network is not high due to the fact that spectral dispersion characteristic wavelengths are difficult to capture when the convolutional neural network processes one-dimensional spectral data. The core idea of the method is as follows: setting a target sample variable, screening out a wavelength points with high correlation with the sample target variable from M wavelength points of an original spectrum through a competitive adaptive reweighting algorithm based on the target sample variable as characteristic wavelength points, and setting the characteristic wavelength points as a fixed wavelength point combination; pre-processing the original spectrum according to a plurality of pre-processing modes; sorting the pre-processed fixed wavelength point combination of each spectrum and the other M-a wavelength points according to the generated K random sequences to generate spectrum matrix data; and training the convolutional neural network based on the generated spectral matrix 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 invention relates to a clutter signal generation method and device. The method comprises the following steps: generating two groups of uniformly distributed random sequences u1 and u2; converting the two groups of uniformly distributed random sequences into a Gaussian white noise sequence through a Box-Muller algorithm; generating a Gaussian color noise sequence from the Gaussian white noise sequence through a linear filter; performing nonlinear transformation on the Gaussian color noise sequence to obtain a clutter basic model sequence; and performing amplitude modulation, distance modulation and speed modulation on the clutter basic model sequence to generate a clutter signal with amplitude, time domain and frequency domain information. According to the invention, amplitude modulation, distance modulation and speed modulation are respectively carried out on the clutter basic model sequence by using the clutter sequence modulation module, so that the generated clutter signal has amplitude, time domain and frequency domain information coupled with a simulation scene, and the accuracy and fidelity of clutter simulation are 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 a chirp delay modulation backscatter communication method and a chirp delay modulation backscatter communication system combined with pseudorandom sequence detection, and mainly solves the problems of low data transmission rate, poor demodulation reliability in a low signal-to-noise ratio environment and high backscatter label complexity in the prior art. According to the scheme, a sending end periodically sends an upper sweep frequency signal as an excitation signal; the backscattering label determines delay time according to a to-be-sent data value, completes one-time modulation in two continuous excitation signal periods, and modulates a pseudo-random sequence into a backscattering signal; and a receiving end demodulates the backscattering signal by adopting a sliding window in combination with a pseudo-random sequence, intercepts the backscattering signal through the sliding window, and performs de-spreading processing and fast Fourier transform on the signal in each window to determine a symbol position so as to realize data demodulation. According to the method, multiple pieces of bit information can be transmitted in one symbol period, the data transmission rate and demodulation reliability are improved, the complexity of the backscattering tag is reduced, and the method can be used for low-power-consumption data transmission of the Internet of Things equipment.

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.