47 results about "Random coding" patented technology

The invention belongs to the technical field of communication, and particularly relates to an ultra-wideband ground penetrating radar transmitting link design method based on pseudo-random coding. The pseudo-random code generation module is connected with the serial-to-parallel conversion module, the serial-to-parallel conversion module is connected with the double data transmission rate module, and the double data transmission rate module is connected with the signal emission module; the pseudo-random code generation module is used for generating high-speed pseudo-random codes; the serial-to-parallel conversion module is used for integrating four paths of parallel data into one path of serial data and outputting the serial data; the double data transmission rate module is used for converting a signal transmitted only at a rising edge into a form that the rising edge and a falling edge are sampled and transmitted; and the signal transmitting module is used for transmitting the high-speed pseudo-random codes sampled at the rising edge and the falling edge. The detection resolution of the ground penetrating radar and the signal-to-noise ratio of a transmitted signal are improved.

This invention discloses an end-to-end spectral reconstruction method, comprising the following steps: S1, reconstructing a hyperspectral image; S2, using the obtained hyperspectral image as input to an optimized neural network, training the neural network parameters according to the end-to-end spectral reconstruction model, and calculating the loss function; S3, backpropagating errors to the coding template to be designed, changing the design parameters of the coding template, and continuing to train the model until a high-quality hyperspectral image is reconstructed. By employing the above technical solution, the design of the optical system is combined with the reconstruction method. Based on the coded aperture snapshot system, an adaptive coding template is added according to the end-to-end spectral reconstruction method, replacing the traditional random coding template, thereby improving the quality of spectral reconstruction.

The invention provides an underwater acoustic network online fountain code method, a sender device and a receiver device, and the method adopts a dynamic rule coding strategy of rule coding and random coding to generate a rule degree 2 coding packet, a random degree 2 coding packet and a random degree 1 coding packet, and random coding dynamically adjusts coding redundancy based on channel conditions, and two coding modes are dynamically fused, so that the decoding overhead can be effectively reduced, the feedback frequency is reduced, and the overall time delay is reduced. In the decoding stage, the feedback information in the feedback packet is fully utilized to remarkably improve the decoding efficiency, the optimal coding set information contained in the feedback packet can reflect the decoding state of a receiver more efficiently, the useful probability of the coding packet in the decoding process is improved, and the overall decoding overhead is reduced. According to the invention, the sender can estimate the channel state in real time and adaptively determine the redundant data sending amount, thereby realizing effective control of the decoding overhead, improving the decoding efficiency and reducing the number of feedback times.

This application discloses a random network coding method, apparatus, storage medium, and computer device based on coding dimension interval constraints. The method includes: dividing the data to be transmitted into multiple data batches, each data batch including multiple raw data packets; for each data batch, dynamically determining the current actual coding dimension of the data batch within a preset coding dimension interval based on the current network state information; repeatedly selecting raw data packets from the data batch with a number equal to the current actual coding dimension, and linearly combining the multiple selected raw data packets using random coding coefficients to generate coded data packets; sending each generated coded data packet to a receiving end, so that when the receiving end determines that the number of received linearly independent packets has reached the current actual coding dimension, it constructs a decoding matrix based on the random coding coefficients carried in the linearly independent packets, and recovers all the raw data packets in the data batch through the decoding matrix.

The application provides a design method and device of a wave-absorbing composite material based on a genetic algorithm, and the method comprises the following steps: based on a plurality of different types of wave-absorbing materials, random coding is performed to obtain a plurality of genetic individuals, and an initial population is formed; the reflectivity of each genetic individual in the population is calculated; the fitness of each genetic individual is evaluated; according to the number of bits corresponding to the data variable in the coding and the current population evolution generation number, the mutation rate of each genetic individual is calculated; the genetic individual with the minimum fitness is retained, and the other genetic individuals are crossed and mutated by using the mutation rate to obtain a new generation population, and the calculation of the reflectivity of each genetic individual in the population is performed on the new generation population, until the termination condition of the genetic algorithm is met, so that the genetic individuals in the new generation population obtained form the wave-absorbing composite material. According to the scheme, the mutation rate can be gradually increased to accelerate the optimization speed under the premise of ensuring the early rapid convergence, and the rapid convergence and rapid optimization of the genetic algorithm are realized.

Embodiments of the present application provide a kind of invalid instruction generation method, device, electronic equipment and storage medium, involve computer technical field, in the method, first instruction coding format is selected from the instruction coding format set corresponding to the preset instruction set architecture;First random code with the fixed bit section total length of first instruction coding format is equal in length;In the case where the first random code is inconsistent with each preset fixed code corresponding to the first instruction coding format, the invalid instruction corresponding to the preset instruction set architecture is generated based on the first random code.The invalid instruction corresponding to the preset instruction architecture can be directly generated in a random manner, which does not comply with the instruction coding format, which helps to improve the efficiency of generating the invalid instruction of the preset instruction set architecture.

The invention relates to a wavefront measurement method based on a modulation type Shack-Hartmann wavefront sensor, the modulation type Shack-Hartmann wavefront sensor comprises a composite laminated modulation device and a detector, and the composite laminated modulation device is composed of a microlens array and a binary random coding mask. The method comprises the following steps: acquiring a composite diffraction pattern which is collected by a detector and is coherently modulated by a composite laminated modulator; wherein the composite diffraction pattern has diffraction texture features, and the diffraction texture features are obtained by coding after coherent modulation is carried out on high-frequency phase information through a binary random coding mask; reconstructing a high-frequency complex wavefront based on the diffraction texture features by adopting a coherent modulation phase recovery algorithm; and outputting the high-frequency complex wavefront as a wavefront measurement result. According to the scheme provided by the invention, unified measurement of high spatial resolution and wide dynamic range can be realized under the condition of single exposure, so that the inherent limitation of the SHWFS between the spatial resolution and the dynamic range in the related technology is broken through.

The application discloses a kind of mobile phone token management method based on iOS platform, belong to information security authentication technical field, its method specifically includes: mobile phone end reads the key after official website encryption, and save to keychain, key decryption obtains a random code associated with user, according to current time and step length, dynamic code is obtained using SHA1 algorithm, dynamic code 30 seconds update once, dynamic code comparison is consistent, and it is bound successfully;When user logs in again, in addition to inputting correct account password, dynamic code also needs to be verified to enter into system, mobile phone end reads key again, compare the key previously saved in keychain, and reset to keychain according to the difference between the two, the key is saved in keychain in the application, and data will not be lost, will not be affected by network, APP exits restart or uninstallation and reinstallation, the data in keychain will not be lost, and can be used permanently, can well solve the problem that existing mobile phone SMS verification code exists attack, blast.

The application provides a time coding compressed sensing imaging method and device based on FPGA and electronic equipment, the method is applied to the technical field of photoelectric detection and computational imaging, and the method comprises the steps of: calibrating an FPGA delay unit based on a reference clock, constructing a delay lookup table and writing a time coding sequence of random coding and a push-scan mode. In response to a synchronization signal, coarse and fine delay tap values are analyzed, a reference pulse is generated and is synchronized to the reference clock, a delay pulse is generated through fine delay, three alignment timing control signals are generated, and the excitation gate and exposure signals are cooperatively controlled. Discrete integral observation values are collected in an exposure window, a continuous observation operator is constructed in combination with the delay lookup table, a target function is constructed based on physical priori, and the target function is iteratively solved to obtain a high signal-to-noise ratio, a transient response curve and physical parameters. The method can solve the problems of slow sampling speed and lack of software flexibility due to dependence on modulation devices in traditional hyperspectral imaging technology.

The invention discloses an unmanned aerial vehicle intelligent fault detection method based on a generative adversarial network. The method comprises the following steps: establishing a monitoring data set; constructing and training a generative adversarial network; setting a gradient information constraint mechanism which introduces an encoder into the discriminator, so that the input of the discriminator is changed into a random code obtained by mapping an input sample by the encoder, and applying upper bound constraint to mutual information between the input sample and the random code; introducing a cyclic difference balance module which introduces the gradient information constraint mechanism as a constraint in a target function in a discriminator training process, and training a discriminator to distinguish monitoring data from distribution of random codes; performing data enhancement on the monitoring data set by using the trained generative adversarial network, and constructing a classifier model; and training a classifier model by using the monitoring data set after data enhancement, so as to identify new monitoring data acquired in real time in the flight process of the unmanned aerial vehicle and output a fault type.

An optical detector for detecting a coolant leak within an information handling system includes a light source, light sensor, and controller. The light source is configured to illuminate objects within the information handling system with a pattern of light. The pattern is determined according to a randomized encoding. The light sensor is configured to generate a signal in response to absorbing light emitted from an object illuminated by the light source. The signal is encoded according to the randomized encoding. A controller operatively coupled with the light sensor is configured to generate a decoded signal by reversing the randomized encoding of the signal. The controller is configured to identify a potential coolant leak in response to the decoded signal matching a predetermined pattern that indicates a coolant leak.

The invention discloses a spatial light modulation method and device for quantum random number coding, equipment and a medium, relates to the technical field of spatial light modulation, and realizes seamless adaptation of quantum random coding and spatial light modulator hardware by converting a quantum random coding matrix corresponding to a target coding base into a driving signal adaptive to a spatial light modulator. It is ensured that the driving signal can accurately control the spatial light modulator to carry out random code modulation on the incident spatial light. The method comprises the steps that a quantum random number generator is adopted as an entropy source, verification screening operation is executed on an original quantum random number sequence output by the quantum random number generator, and an effective quantum random number sequence is obtained; entropy extraction operation is executed on the effective quantum random number sequence according to the set sampling number, and a target coding base is constructed; and converting the quantum random coding matrix corresponding to the target coding base into a driving signal adaptive to a spatial light modulator, so as to control the spatial light modulator to carry out random coding modulation on the incident spatial light through the driving signal to obtain modulated light.

The invention discloses an enterprise policy dynamic matching method and system based on big data, and the method comprises the following steps: S1, obtaining enterprise data and policy data, relates to the technical field of big data analysis, and carries out the preprocessing, feature extraction, feature fusion and nonlinear transformation of the enterprise data and the policy data, thereby obtaining an enterprise policy dynamic matching result; generating an enterprise abstract feature vector and a policy abstract feature vector, using the cosine similarity of the two as an initial matching score, and combining a historical matching success rate, an industry matching preference coefficient and a time coefficient to generate a score adjustment factor; meanwhile, a historical matching success rate, an industry matching preference coefficient, a time coefficient weight and a product of an initial matching score and a score adjustment factor are generated through combination of an entropy method and random coding to serve as a dynamic matching score, and a dynamic scoring method considering timeliness, domain correlation and historical matching experience is constructed; and the dynamic matching accuracy of the enterprise and the policy is effectively improved.

The invention relates to the technical field of radar detection, in particular to a glacier detection system and method. The system comprises a signal generation module used for alternately repeating complementary code elements with a preset time width to generate a pseudo-random coded signal with a preset code length, and performing square wave modulation on the pseudo-random coded signal according to a carrier square wave period to obtain a radio frequency signal, the preset time width being an integer multiple of the carrier square wave period, and the preset time width being an integer multiple of the carrier square wave period; the preset code length is integer power of two; the signal transmitting module is used for processing the radio frequency signal to obtain a transmitting signal and transmitting the transmitting signal to the glacier; the signal receiving module is used for receiving an echo signal of the glacier to the transmitted signal and carrying out digital signal processing on the echo signal to obtain a digital echo signal; the signal analysis module is used for analyzing the digital echo signal to obtain a glacier structure, and the glacier structure comprises at least one of the glacier thickness, the glacier terrain and the ice layer structure.

The present invention relates to a method for authenticating a Client in a Client-Server architecture. The method encodes the Client's input passcode using a Regulated Activation Network computational model to create a Hierarchical model. Depending upon a Policy shared between the Client and the Server, different combinations of encoded passcodes generated from the Hierarchical model, are selected. After every successful authentication operation, a new policy is generated. Because of these new policies, for every authentication attempt, the Client inputs the same passcode but the passcode communicated over the network is always different. The advantages of this method include random encoded passcode generation for the Client's identity verification. This randomness ensures that the generated encoded passcodes are never repeated in two successive authentication attempts. The use of Models, Policies, and the Client's passcode together makes the authentication method highly robust.

The invention relates to the field of secure multi-party computing, in particular to an efficient secret shared database connection query method based on differential privacy. The method comprises the following steps: step 1, a data owner shares an input table X, a table Y and a sequence replacement secret of each column in a data table to three servers; 2, the server P1 and the server P2 calculate the random codes of the connection keys, shuffle the random codes and send the random codes to the server P3; and step 3, the server P3 generates expansion and replacement of the table X and the table Y according to the random codes of the two table connection keys. And 4, the three servers execute a contact expansion and replacement protocol on the table X and the table Y according to expansion and replacement, and finally, the server P1 and the server P2 obtain secret sharing of the table X and the table Y, and the secret sharing of the table Z can be obtained by combining the secret sharing of the table X and the table Y according to columns.

The application relates to a picking sorting decision method considering the capacity of a seeding wall, a service platform and a storage medium. The method comprises the following steps: performing random coding and population initialization on SKUs associated with a plurality of picking orders to be sorted according to a preset coding mode, and generating a plurality of first sorting coding bodies; performing sorting correction preprocessing on sub-codes corresponding to the plurality of first sorting coding bodies by using a heap optimization simulated annealing algorithm, generating a plurality of second sorting coding bodies, and repeatedly performing non-dominated solution sorting and genetic evolution operation iteration on the fitness of the NSGA-II algorithm and the corresponding sorting coding bodies based on the plurality of second sorting coding bodies until a plurality of alternative sorting coding bodies are generated; selecting a target sorting coding body from the plurality of alternative sorting coding bodies according to the fitness of the alternative sorting coding body, and taking a plurality of target picking batches obtained by processing the target sorting coding body according to a picking sorting decision rule and a picking path mapped by the target picking batches as a decision result.

The application provides a laser seeker pseudo-random code identification method and system based on sequence deviation evaluation coefficient. The method comprises: obtaining laser echo, infrared thermal and radio frequency data generated when the laser seeker detects a target. Based on the sequence deviation evaluation coefficient, the laser echo data is phase-inverted and adjusted, and then integrated with the infrared thermal and radio frequency data to obtain a target composite data set. According to a preset wavelength separation threshold, each data set is divided into multiple sub-channel data streams according to the corresponding wavelength. Local features related to the detection signal are extracted from all sub-channel data streams by using a convolutional neural network. The local features are matched with a preset pseudo-random code sequence to verify the coincidence degree of the timing mode and the phase characteristics, and a space-time feature set containing the matching result is generated. Based on the feature set, it is determined whether the detection signal contains a target pseudo-random code, and an identification result is obtained. The application improves the identification accuracy and reliability of the laser seeker for the pseudo-random code.

The invention provides a low-frequency synchronization signal synchronization method, device and equipment based on a BB84 protocol, and relates to the technical field of quantum communication. The method comprises the following steps: generating a high-frequency reference signal and a low-frequency synchronization signal; triggering a first group of random coding bases to perform quantum state coding on the to-be-sent information according to the high-frequency reference signal; transmitting a quantum state code to a receiving end according to the frequency of the high-frequency reference signal; modulating the low-frequency synchronizing signal to a preset optical carrier and transmitting the modulated low-frequency synchronizing signal to a receiving end, extracting the low-frequency synchronizing signal by the receiving end, performing frequency conversion on the low-frequency synchronizing signal according to the frequency of the high-frequency reference signal to generate a target high-frequency signal, and triggering a second group of random coding bases to decode the quantum state code by the target high-frequency signal to obtain decoding information; and negotiating the first group of random coding bases, the second group of random coding bases, the to-be-sent information and the decoding information with a receiving end to generate a quantum key. According to the invention, the bit error rate and the eavesdropping misjudgment risk can be reduced.

The invention discloses a data synchronization method and system based on medical consumables, and relates to the technical field of data synchronization, and the method comprises the steps: collecting monitoring target list data of medical equipment, carrying out the arrangement and structuring of the sampled data, forming an independent data group, extracting the collected data of different sensor data items, and forming an organization matrix; and carrying out linear coding on the organization matrix by using a random linear network coding (RLNC) method, generating a redundant coding packet data matrix by using matrix multiplication, and carrying out homomorphic encryption on coding packet data. According to the method, data protection and calculation operation are seamlessly combined through homomorphic encryption, encryption monitoring data can be directly processed, and encryption potential features are generated through combination of time random features and mapping hidden features, so that the hidden space features can express time dependence features and global features of random coding at the same time; and the multi-dimensional characteristic fusion capability in a medical consumable monitoring scene is enhanced.

This invention provides a communication method, apparatus, electronic device, and storage medium. The method applied to a transmitting device includes: injecting artificial noise signals into one or more signals to be transmitted to obtain one or more encrypted sequences, and storing the injection positions of the artificial noise signals; randomly clustering a codebook composed of the one or more encrypted sequences to obtain multiple non-empty clusters, and randomly dividing each non-empty cluster into multiple sub-clusters; randomly encoding the sequence number of the non-empty cluster to which each encrypted sequence belongs to obtain a first sequence number corresponding to each encrypted sequence; sending the first sequence number and the encrypted sequence to a receiving device for authentication based on the first sequence number; and generating a private key corresponding to the encrypted sequence based on the injection positions of the artificial noise signals, so that the receiving device can decode the encrypted sequence using the private key after successful authentication. The key generation method employed in this invention improves key randomness and transmission security.

The invention provides a radar target distance-Doppler feature high-degree-of-freedom modulation method based on an optimized pseudo-random coding metasurface, and aims at solving the problem that system complexity and modulation flexibility are difficult to consider in an existing metasurface-based RTFM technology. The core mechanism of the method is to destroy the intra-pulse and inter-pulse phase characteristics of the radar by using the phase coding modulation capability of the PMM, and perform high-degree-of-freedom control on the energy of the harmonic wave generated by the reflection of the PMM through the established false target RD grid distribution model and optimization algorithm, thereby realizing the flexible distribution of the original target energy in the RD domain, and improving the reliability of the target. And thus, high-degree-of-freedom modulation of the target RD features is realized. Compared with a widely used PD radar active characteristic modulation method, the new method provided by the invention has the advantages of lower cost, lower system complexity and stronger electromagnetic concealment.

The invention discloses a self-encoding and decoding spectrum reconstruction method based on a neural network, and the method comprises the following steps: 1, carrying out the pre-training of a constraint encoding neural network, so as to learn the relation between a super-structure lens parameter and a spectrum response, and providing a weight constrained by a structure parameter for the encoding neural network; 2, the random spectrum coding neural network is used for carrying out random coding on the input spectrum and providing input for decoding and reconstructing the neural network; and step 3, the spectrum reconstruction neural network is used for decoding the input encoded spectrum and reconstructing the spectrum with high precision. According to the method, the optimal coding filter parameter can be found through pre-training, and the spectrum can be reconstructed with high precision only by using a few filters, so that the self-coding and decoding algorithm has higher precision in the spectrum reconstruction process, accords with a super-structure lens production process, and reduces the use cost.

Certain exemplary embodiments provide an unbreakable encryption system and method through the use of dual, independent random coding between sender and receiver and a three-step transmission process. Said system also incorporating within the encryption method the addresses of both sender and receiver such that they are undiscoverable by an unintended party.

The invention provides an all-solid-state high-repetition-frequency high-energy laser internal modulation coding method based on Q-switch internal modulation. The method comprises the following steps: designing a coding laser; constructing a main oscillator, matching with a thermal lens, and loading a coding mode to an electro-optical Q switch for driving to obtain an anti-interference pulse source; designing a matched light path and amplifying a pumping light spot to obtain a high-energy pulse; constructing a reconfigurable time sequence control platform supporting composite coding to obtain a reconfigurable coding controller, and outputting four paths of time sequence pulse trains by utilizing the reconfigurable coding controller; basic performance testing and complex scene testing of the laser are carried out, dynamic thermal management compensation is carried out, and an anti-interference sequence is obtained; and the pseudo-random jitter code is operated to obtain an anti-correlation interference sequence, and then the laser is subjected to graphical integration to obtain graphical description of the structure, the characteristics and the control logic. Accurate frequency coding, variable frequency coding and pulse position pseudo-random coding of the narrow-pulse-width laser are realized, and high-energy narrow-pulse-width laser output is also realized.

The invention discloses a full-waveform transient electromagnetic rapid forward modeling method for a pseudo-random coding source, belongs to the technical field of geophysical exploration numerical simulation, and solves the problems of poor numerical stability, low calculation efficiency and easy generation of non-physical artifacts in traditional pseudo-random transient electromagnetic full-waveform forward modeling. According to the method, continuous convolution integral is converted into differential weighted summation of a step kernel integral function through emission current piecewise linearization hypothesis, and the core steps comprise input data preprocessing, step kernel integral function pre-calculation, emission current piecewise linearization processing, full-waveform response piecewise analytical calculation, and full-time boundary condition control and result output. According to the scheme, the numerical burr at the current jump position is eliminated from a physical mechanism, the calculation efficiency is improved by more than 180 times compared with a traditional Gaussian integral method, the numerical stability is high, the universality is good, and the method can be widely adapted to full-waveform transient electromagnetic forward modeling simulation of various pseudo-random coding sources.

The invention provides a time coding compressed sensing imaging method and device based on an FPGA (Field Programmable Gate Array) and electronic equipment, the method is applied to the technical field of photoelectric detection and computational imaging, and the method comprises the following steps: calibrating an FPGA delay unit based on a reference clock, constructing a delay lookup table, and writing a time coding sequence of random coding and a push-broom mode. And analyzing the coarse and fine delay tap values in response to the synchronous signal, generating a reference pulse, synchronizing the reference pulse to a reference clock, generating a delay pulse through fine delay, and generating three paths of alignment time sequence control signals so as to cooperatively control excitation gating and exposure signals. A discrete integral observation value is collected in an exposure window, a continuous observation operator is constructed in combination with a delay lookup table, an objective function is constructed by physical prior, iterative solution is performed on the objective function, and a high signal-to-noise ratio, a transient response curve and physical parameters are obtained. The method can solve the problem that the traditional hyperspectral imaging technology is low in sampling speed, depends on a modulation device and lacks software flexibility.

The present application is directed to the problem that static DNA encoding and calculation rules are single, encryption process is separated from plaintext, and plaintext is vulnerable to attack, and proposes a color image encryption method based on new 4-dimensional hyperchaos and DNA random encoding calculation. The method first designs a new 4-dimensional hyperchaotic system, iterates the system to generate multiple pseudo-random sequences, generates new pseudo-random sequences and matrices by calculation and modification, decomposes the color image into R, G and B channel components, and then fuses them into a matrix, then encodes and calculates the image and the pseudo-random matrix according to the newly generated pseudo-random sequence, and then performs DNA random decoding, decomposes the matrix into channel components, and fuses to generate the final ciphertext image, wherein the initial value of the chaotic system is calculated by the SHA-512 algorithm. The encryption method proposed by the present application not only has large key space and strong sensitivity to plaintext, but also can effectively resist statistical, brute force and differential attacks.

The embodiment of the invention discloses an emergency material scheduling method and device based on an improved whale optimization algorithm. A specific embodiment of the method comprises the following steps: carrying out vehicle path problem model construction on an emergency material scheduling problem comprising multiple distribution centers and time window constraints to obtain a vehicle path problem model comprising scheduling scheme parameters, an objective function and constraint conditions; generating an initial vehicle driving path set according to scheduling scheme parameters of the vehicle path problem model; determining an initial candidate solution population according to a preset random coding real number array; generating a mixed test solution according to the initial candidate solution population; performing penalty function integration on constraint conditions of the vehicle path problem model to generate candidate solution fitness values; and generating a scheduling scheme corresponding to the emergency material scheduling problem according to the candidate solution fitness value and the mixed test solution. According to the embodiment, the local exploration performance and the global development capability of the algorithm are balanced, and the optimization performance of the algorithm is enhanced.

The application relates to a circuit board layout method and device, electronic equipment and a storage medium. The method comprises the following steps: analyzing circuit information to be laid out to obtain a device loop; randomly encoding the device loop to obtain an initial encoding vector group; determining layout data of each device to be laid out in the device loop according to the initial encoding vector group and preset layout data of a first device; calculating a target function value according to the layout data; adjusting the initial encoding vector group to obtain a target encoding vector group, with the target being to minimize the target function value; and obtaining target layout data of each device to be laid out in the device loop according to the target encoding vector group and the preset layout data of the first device, and realizing automatic layout of the devices to be laid out according to the target layout data, thereby improving the circuit board layout efficiency.